- Do weather events affect income inequality in Africa?
- Awareness of oil pollution: dominant news frames used in reporting the menace among selected newspapers in the Niger-Delta region of Nigeria
- Identify and ranking green manufacturing barriers by using MCDM methods
- Assessment of various physico-chemical water quality parameters: a case study on Bhairab River, Bangladesh
20 May 2022
The following paper, "Transmission optimisation technology based on edge-network" (International Journal of Web Science 3(3) 2022), is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
- Trends in building fungible blockchains for data and value exchange
- Decentralised application for crowdfunding using blockchain technology
- Blockchain in accounting: challenges and future prospects
- Network hype and asset pricing of cryptocurrencies: evidence based on a Google-attention approach
- ChainElastic: a cloud computing resource elasticity model for IoT-based blockchain applications
An analysis of the micro-blogging updates from investors posted on the social media site Twitter, offers an insight into the personality traits that are most closely linked to investment success. The research, published in the journal Global Business and Economics Review, suggests that successful investors predominantly exhibit two personality traits: emotional stability and openness. An additional finding is that all investors, successful or otherwise, have low agreeableness and do not exhibit extraversion.
Agreeableness and extraversion are two of the so-called Big Five personality traits. Added to those we have openness, conscientiousness, and neuroticism. They are a common archetype system for exploring personality. Individuals can have any combination of those five traits, each being positioned on a spectrum from a complete absence of said trait to predominance of that trait. So, a person might be an agreeable person who is mildly neurotic, strongly conscientious, extroverted, and a great deal of openness. Some traits are likely to be found to be strongly present with others.
R. Ramprakash and C. Joe Arun of the Loyola Institute of Business Administration (LIBA) in Chennai, India, selected a group of successful investors active on Twitter and performed an analysis of their tweets using linguistic inquiry and word count (LIWC) software. They hoped to reveal from their tweets common personality traits among successful investors. The work might provide clues to the inner workings of a world that always seems to be governed by whim and vagueries and does not succumb easily to analyses that might open up ways in which to predict how investments might rise and fall in a given time period. Opportunity and risk seem to be unknowable quantities, but insights into the personality of investors might add useful knowledge.
The researchers explain that while most research has focused on measuring the investment performance of individual investors and comparing that with their personality traits, the present study provides an interesting insight into the existing literature by identifying successful investors and observing their dominant personality trait, which, in turn, lead to specific behaviour.
Ramprakash, R. and Arun, C.J. (2022) ‘A study of the tweets of successful investors in order to identify their personality’, Global Business and Economics Review.
19 May 2022
- The art of learning the Greek language by adult refugees and immigrants
- Educational challenges in Jordan and Oman
- Findings from 20 years of business plan competitions in North-Bavaria
- Incorporating the academic performance of undergraduate students into the teaching material of an operations management course
- The reasons behind Zara's success: evaluating the value chain
Special issue published: "Advanced Technologies and Applications for Future Wireless and Mobile Communication Systems"
- Research on the wake-up method for active sleeping node in wireless sensor networks
- Resource monitoring method of the expandable cloud platform based on micro-service architecture
- The intrusion data mining method for distributed network based on fuzzy kernel clustering algorithm
- Research on digital forensics method of 5G communication system in the future based on direct intermediate frequency sampling
- The automatic positioning method for defect data of 5G mobile communication based on cloud computing
- Capacity detection of massive MIMO channel in 5G environment based on symmetric correlation matrix
Free sample articles newly available from International Journal of Theoretical and Applied Multiscale Mechanics
- Temperature and strain rate sensitivity of shocked aluminium: multiscale dislocation dynamics simulations
- Multiscale analysis in solids with unseparated scales: fine-scale recovery, error estimation, and coarse-scale adaptivity
- Understanding the low cycle fatigue of additive manufactured Inconel 718: a crystal plasticity modelling approach
- The treatment of singularities associated with a dislocation segment with applications
- Numerical study of elastic-plastic behaviour of pore-containing materials: effects of pore arrangement
Research pick: Closer to the entrepreneurial heart - "At the heart of things: the impact of life-partners on entrepreneurs’ psychological capital"
The out-moded aphorism – “Behind every great man is a good woman” – might be brought clumsily up-to-date by writing instead that “Alongside every great person is a great partner”. Indeed, writing in the International Journal of Entrepreneurship and Small Business, researchers from Israel have investigated the impact of a life partner on the social capital of entrepreneurs.
Ben Bulmash of the Faculty of Technology Management at the Holon Institute of Technology in Holon, suggests that psychological capital is a concept of growing importance in the world of entrepreneurial business. In this world challenges and uncertainties are ever-present and perhaps increasingly so in the wake of the COVID-19 pandemic, civil unrest, climate change, and war-mongering. There are three psychological components to psychological capita, which might be thought of as a state of mind rather than a character trait: optimism, pessimism, and self-esteem. How, asks Bulmash, are these three traits affected by the presence, support or otherwise of a life partner?
In studying entrepreneurial activities and the world of business, the focus is often on product design, marketing strategy, financial planning, and technological aspects of the business. The right blend can lead to success. That said, previous studies have shown that positive psychological capital can lead to business longevity and success. A focus on the entrepreneur’s life may, however, be just as important a factor. Bulmash now has found, as one might expect to some degree, that low levels of support from an entrepreneur’s life partner lead to what might be referred to as the least favourable mental states.
“Difficult and unsupportive relationships are detrimental to business success, possibly more so in the early stages of a business, when uncertainty is high and results not immediate,” Bulmash writes. It is important when trying to understand entrepreneurial activity to understand that the entrepreneur’s life and life partner can play a significant role in predicting the trajectory of their business.
Bulmash, B. (2022) ‘At the heart of things: the impact of life-partners on entrepreneurs’ psychological capital’, Int. J. Entrepreneurship and Small Business, Vol. 45, No. 4, pp.476–488.
18 May 2022
- Indian agriculture sector: impacts from COVID-19
- The impact of COVID-19 on small and micro-enterprises in South Africa
- Searching for a new global development trajectory after COVID-19
- Stock markets' responses to COVID-19 in developing countries: evidence from the SAARC region
- Evaluation of transmission effects of the COVID-19 shock on major Asian stock markets
Free sample articles newly available from International Journal of Mechatronics and Manufacturing Systems
- Tool and process development for chambering bores with non-circular contour in highly stressed workpieces
- Multistage tool path strategy to produce hemispherical shape using single point incremental forming process
- Physics-based simulation models for digital twin development in laser powder bed fusion
- Relevance of single channel signals for two-colour pyrometer process monitoring of laser powder bed fusion
- Micro-WEDM of Ni55.8Ti shape memory superalloy: experimental investigation and optimisation
- Virtual reality training platform for a computer numerically controlled grinding machine tool
- Review on electro-hydrostatic actuator: system configurations, design methods and control technologies Bo Li; Yongteng Liu; Cao Tan; Qijing Qin; Yingtao Lu
- Intelligent data-driven monitoring of high dimensional multistage manufacturing processes
- A framework for differentiation in composed digital-physical products
- Evaluation on advantages of low frequency assisted drilling (LFAD) aluminium alloy Al7075
- Planning and control frameworks of the future
- An industrial case study on discrete event modelling of value stream mapping for Industry 4.0
- Robot-assisted painting system for bolt-nut pairs
Free open access article available: "Institutional and emergent improvisation in response to disasters in Slovenia"
The following paper, "Institutional and emergent improvisation in response to disasters in Slovenia" (International Journal of Emergency Management 17(2) 2021), is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Research pick: Smart assisted living for older adults - "Towards enhancing the health standards of elderly: role of ambient sensors and user perspective"
Older adults with or without health problems could continue to live independent lives as far as is practical with the use of smart technologies, such as wearable sensors, and internet-connected monitoring systems that can alert remote carers to acute problems, such as a sudden downturn in health metrics, a fall, or other issues, as soon as they arise.
Writing in the International Journal of Engineering Systems Modelling and Simulation, a team from India provides a user perspective on such ambient assisted living systems. Ashish Patel and Jigarkumar Shah of Pandit Deendayal Energy University in Gandhinagar, India, explain that AAL systems must offer carers timely and detailed information when the older adult’s environment or personal conditions change from their normal to a new normal that represents a risky situation has arisen or their health has suddenly declined. There are numerous wearable and situational monitoring devices that can report room and body temperature, air quality, whether a person is mobile, seated, or has fallen, and other such variables.
The team has surveyed AAL system users to get an insider perspective on how well these systems might work. An effective AAL system must offer continuous monitoring but also security and privacy to allow vulnerable or older adults to live independently in their preferred home. It does not offer a complete approach to care, of course, but augments the caring environment for that adult offered by relatives, friends, and professionals, depending on the person’s needs and choices.
The researchers present a framework and a practical approach to a hybrid AAL system that brings together personal monitoring devices and environmental monitoring devices with a view to improving the health standards of an older person living alone. The framework takes into account the person’s needs and desires rather than simply defining the requisite technological setup. The team points out that in order to incorporate the person’s emotional state in such a hybrid system, there must be a certain level of compromise when it comes to their privacy, as the monitoring software and thence the carers who are there to respond to alerts from the system will have some insight into the person’s inner life in order that an appropriate response can be made in a timely manner.
Patel, A. and Shah J. (2022) ‘Towards enhancing the health standards of elderly: role of ambient sensors and user perspective’, Int. J. Engineering Systems Modelling and Simulation, Vol. 13, No. 1, pp.96–110.
17 May 2022
- Filling method of thin shell 3D printing material based on implicit surface
- Analysis of rheological characteristics of cement mortar based on microstructure
- Response surface method for optimisation of SLA processing parameters
- Numerical simulation of material wear of an automotive brake device based on finite element simulation
- Simulation study on compressive strength and elastic modulus of concrete under multiaxial stress
- Effect of annealing process on microstructure and mechanical property of medium-manganese TRIP steel
- The performance of self-compacting recycled concrete short column of steel tube for construction
- Damage and crack detection of self-compacting concrete based on fuzzy analytic hierarchy process
- Study of modified joint configuration in friction stir welding of dissimilar Al-Mg plates
- The investigation of coated layers on the surface of ferritic stainless steel by using atmospheric plasma spray method
- Degradation of swollen NR/EPDM filled with graphene nanoplatelets in different types of service oils for engine mounting
Research pick: Analysing big data - "The impact of big data in predictive analytics towards technological development in cloud computing"
We live in the information age, you might say. More than 2.5 quintillion bytes* of data are generated around the globe every day. Managing that data is impossible and yet we make use of huge chunks of it in many disparate and sometimes unimaginable ways. Extracting knowledge from repositories and databases, the big data, can lead to a better understanding of natural and non-natural phenomena in climate change, economics, medicine, and beyond.
Predictive analysis is key to making intelligent decisions based on such big data, according to researchers writing in the International Journal of Engineering Systems Modelling and Simulation. However, there are problems that must be addressed especially when such big data exists in the cloud.
Krishna Kumar Mohbey and Sunil Kumar of the Central University of Rajasthan in Ajmer, India, consider the impact of big data in this context. They point out that one of the biggest issues facing those who would work with big data is that while some of it may well be structured, much of it is only semi-structured, and vast amounts are entirely unstructured.
The storage, management, and analysis of all of this data is one of the greatest challenges facing computing today. While cloud computing provides many of the tools needed in a distributed way and to some extent has revolutionized information and communications technology (ICT), there remains a long road ahead before we can truly cope with big data fully.
However, distributed storage and massive parallel processing of big data in the cloud could provide the foundations on which the future of big data and predictive analysis might be built. The team reviews many of the current approaches that use historical data and machine learning to build predictions about the outcomes of future scenarios based on contemporary big data sources. The team points to where research might take us next in the realm of big data and warns of the possible dead-ends.
“The key aim is to transform the cloud into a scalable data analytics tool, rather than just a data storage and technology platform,” the team writes. They add that now is the time to develop appropriate standards and application programming interfaces (APIs) that enable users to easily migrate between solutions and so take advantage of the elasticity of cloud infrastructure.
Mohbey, K.K. and Kumar, S. (2022) ‘The impact of big data in predictive analytics towards technological development in cloud computing’, Int. J. Engineering Systems Modelling and Simulation, Vol. 13, No. 1, pp.61–75.
*2.5 quintillion bytes is about 1 million terabytes. A general household computer might have a 1 terabyte hard drive these days, so that’s data maxing out the storage capacity of about 2,500,000 computers every day.
Free sample articles newly available from International Journal of Earthquake and Impact Engineering
- Probabilistic seismic hazard assessment of district headquarters of Kashmir Valley in Jammu and Kashmir, India
- Prediction accuracy of underground blast variables: decision tree and artificial neural network
- The response of tall buildings to far-field earthquakes and the case of a 49-storey steel building
- A new approach in simulation of soil-structure interaction problems including damper effects
16 May 2022
Research pick: Predicting population - "Application of machine learning algorithms for population forecasting"
Machine learning algorithms can be used to make accurate forecasts about changes in population, according to research published in the International Journal of Data Science. The work demonstrates that the best of the available algorithms trained on historical data works better than conventional demographic modeling based on periodic census data.
Fatih Veli Şahinarslan, Ahmet Tezcan Tekin, and Ferhan Çebi of the Department of Management Engineering at Istanbul Technical University, in Istanbul, Turkey, have compared the predictive power of various algorithms – extreme gradient boosting, CatBoost, linear regression, ridge regression, Holt-Winters, exponential, autoregressive integrated moving average (ARIMA) and prophet prediction model. They trained the algorithms using 1595 different demographic indicators from 262 countries recorded between 1960 and 2017. Indicators include age and gender distribution, labour force, education, birthplace, birth and death rates, and migration statistics.
Their demonstration to predict the population of Turkey for the year 2017 proved the value of the algorithmic approach over traditional modeling. Understanding population dynamics and forecasting how a population might change in years to come is a critical part of policymaking and planning for healthcare, education, housing, transport, and infrastructure. Ten-year census cycles are useful, but they do not give a fine-grained account of a changing population, especially in the light of changes in life expectancy, migration, war, political upheaval, and pandemics, where the character of a population might change radically on a much shorter timescale.
The researchers suggest that machine learning algorithms, ensemble regression models in particular, can offer a “better estimate” of the future population of a country. They are able to do so because they can reduce the number of factors that otherwise make it difficult to make an estimate and also through analysis of any uncertainties in the demographic data.
“Machine learning algorithms on population estimation will make an essential contribution to…the planning of national needs and pave the way for more consistent social, economic, and environmental decisions,” the team concludes.
Şahinarslan, F.V., Tekin, A.T. and Çebi, F. (2021) ‘Application of machine learning algorithms for population forecasting’, Int. J. Data Science, Vol. 6, No. 4, pp.257–270.
13 May 2022
Research pick: Resurrecting restaurants after the pandemic - "Food and beverage industry in a pandemic context"
The COVID-19 pandemic has had a devastating effect on millions of people as well as the businesses on which many of us depend. A new study in the International Journal of Services, Economics and Management, looks at the impact lockdowns and other measures have had on the food and drinks industry, showing how many businesses in this sector have summarily failed because of the emergence of this lethal virus and its effects on society.
Leandro Pereira, Margarida Couto, Renato Lopes da Costa, Álvaro Dias, Rui Vinhas da Silva of the Instituto Universitário de Lisboa (ISCTE) in Lisbon, and Rui Gonçalves of PIAGET Almada, in Almada, Portugal, have found that as the pandemic progressed, even as lockdown restrictions were lifted, customer fears and discomfort kept many people away from restaurants compounding the detrimental impact of the lockdown periods on the industry.
As one might have expected, early in the pandemic, restaurant trade halved, but many places shut down all but essential services in many parts of the world in an effort to halt the spread of the disease and reduce the number of hospitalizations and deaths. At the time of writing this Research Pick, the World Health Organisation has alluded to the total number of “excess” deaths associated with COVID-19 as being around 15 million worldwide. It seems inescapable that people would be fearful of such a disease.
The team has found that in the wake of this, the biggest factors associated with fear and deterring individuals from using restaurants once more are that person’s highest level of education, their age, the exaggerated proximity of employees observed in such establishments, a lack of obvious cleaning processes, and the inability to observe the establishment’s kitchen and food preparation. Some of these factors such as their putative customers age and education cannot, of course, be altered by restaurant management, but other factors such improving hygiene procedures and making them visible, improving social distancing between employees and clientele within practical limits, and making food preparation visible could be addressed.
It remains to be seen whether people will start eating out as often as they did before the pandemic. If the industry changes in a way to encourage them to do so, then that might be the case. It could be that the new-normal means fewer people going to restaurants regardless. Life is all about change a new disruption might nudge us in a different direction. The industry can do nothing but be proactive in trying to encourage customers and respond in a timely way to new challenges that arise.
Pereira, L., Couto, M., da Costa, R.L., Dias, Á., Gonçalves, R. and da Silva, R.V. (2022) ‘Food and beverage industry in a pandemic context’, Int. J. Services, Economics and Management, Vol. 13, No. 2, pp.152–181.
12 May 2022
Research pick: Sweet lime oils defeat pests - "Eco-friendly extraction of Mosambi (Citrus limetta) essential oil from waste fruit peels and its potential use as a larvicidal, insecticidal and antimicrobial agent"
Citrus peel and pulp is a growing waste problem in the food industry and in the home. However, there is potential to extract something useful from it. Work in the International Journal of Environment and Waste Management describes a simple steam distillation method that uses a domestic pressure cooker to extract useful essential oils from the peel of sweet lime (mosambi, Citrus limetta).
Waste mosambi peel can be obtained in huge quantities from the many fruit juice shops around the state of Delhi and elsewhere and where people make juice in their homes. The research shows how these extracted essential oils have antifungal, larvicidal, insecticidal and antimicrobial activity and so could represent a useful source of inexpensive products for crop protection, domestic pest control and cleaning, and more.
Using waste streams from the food industry as a source of raw materials for other industries is on the rise. To be truly beneficial in terms of the environment, however, the extraction of useful materials from such waste has to approach carbon neutrality and be largely non-polluting itself. Chemists Tripti Kumari and Nandana Pal Chowdhury of the University of Delhi and Ritika Chauhan of Bharati Vidyapeeth’s College of Engineering in New Delhi, India, have used a relatively environment-friendly steam distillation followed by solvent extraction with hexane to access the essential oils from mosambi peel. “The reported method of extraction produces zero waste, is energy efficient and gives a good yield,” the team writes.
The team demonstrated antibacterial activity of the extracted essential oils against bacteria including Bacillus subtilis and Rhodococcus equi. The same oils also showed activity against strains of fungi, such as Aspergillus flavus and Alternaria carthami. The extracts also show lethal activity against mosquito and cockroach larvae. The researchers suggest that appropriately adapted to preclude the need for the organic solvent step, it might be possible to develop a domestic approach to making such essential oil products from citrus peel in the home. This would, they suggest, bring science home and provide an effective alternative to costly manufactured sprays and products.
Kumari, T., Chowdhury, N.P., Chauhan, R. and Tiwary, N.K. (2022) ‘Eco-friendly extraction of Mosambi (Citrus limetta) essential oil from waste fruit peels and its potential use as a larvicidal, insecticidal and antimicrobial agent’, Int. J. Environment and Waste Management, Vol. 29, No. 3, pp.360–375.
Free sample articles newly available from International Journal of Machining and Machinability of Materials
- Study on characteristics of AlTiN and TiCN coating layers deposited on carbide cutting tools in hard turning of steel: experimental, simulation and optimisation
- Machinability studies on Al7075-based hybrid composites reinforced with SiC, graphene and CNT
- The problem of determining the ploughing forces
- An application of fuzzy logic with grey relational technique in grinding process using nano Al2O3 grinding wheel on Ti-6Al-4V alloy
- Optimal cutting state predictions in internal turning operation with nano-SiC/GFRE composite layered boring tools
Free open access article available: "Desperately seeking industrial digital strategy: a dynamic capability approach"
The following paper, "Desperately seeking industrial digital strategy: a dynamic capability approach" (International Journal of Information Systems and Change Management 12(4) 2021), is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Free sample articles newly available from International Journal of Information and Decision Sciences
- SWARA approach for ranking of agricultural supply chain risks of Odisha in India
- The application of strategic alignment in a fuzzy environment: a case study in banking
- Unorganised entrepreneurship and employment generation in India
- Performance evaluation in a two-stage network-DEA with intermediate products
- Comparative study of MCDM methods under different levels of uncertainty
- Integrating statistical correlation with discrete multi-criteria decision-making
11 May 2022
Free open access article available: "Study on university research performance based on systems theory: systematic literature review"
The following paper, "Study on university research performance based on systems theory: systematic literature review" (International Journal of Productivity and Quality Management 35(4) 2022), is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Free sample articles newly available from International Journal of Engineering Systems Modelling and Simulation
- Test and research on mechanical characteristics of geotechnical filling engineering based on inclined soft ground
- Influence of Navier-slip conditions on natural convection flow through an inclined channel with inclined magnetic field, Soret and Hall current effects
- Study on material structure evolution of steam turbine rotor under thermal cycling fatigue load
- Design and implementation of DVR as fault current limiter in DFIG during grid faults
- Extended geographic information monitoring of urban ecotone based on cell transmission model
- Research on mathematical model of characteristic curve of surface perception by PVDF array based on Ferguson function
- Fast and accurate dynamic synchrophasor estimator for protection applications
The following paper, "Smart services' quality scale" (International Journal of Productivity and Quality Management 35(4) 2022), is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Research pick: Tackling workplace bullying - "Understanding workplace bullying: a conceptual review"
Workplace bullying has always been a problem but recognition of this problem and how we must stand up to it and try to eradicate it from the workplace culture has only come to the fore in recent years. A conceptual review in the International Journal of Management Practice looks at the issues, the terminology, and the definitions with the aim of helping researchers fill the many gaps in the literature in a consistent manner.
Rajnish Kumar Misra and Divya Sharma of the Jaypee Institute of Information Technology in Noida, India, explain that there is a need to differentiate between bullying and other forms of negative behaviour in the workplace, such as so-called “desk rage”. However, they also hope to identify the antecedents to workplace bullying and look in-depth at its consequences on companies and their staff. Fundamentally, the team’s review alludes to a need for research and discussion to be all-encompassing and to recognise the boundaries of the definitions that emerge from the review.
Harassment and incivility are deep-rooted in many areas of human activity. Bullying can take a physical form or play a psychological role, or it can be a combination of both. Either way, it can have detrimental and long-lasting effects on anyone who is a victim. In the workplace, as with many other realms, this can have serious and life-changing consequences for victims, as morale is compromised, job dissatisfaction arises, performance and commitment become less important to the employee, burnout and employee turnover increase. All to the detriment of the victims of the bullying but also to the employer.
The research literature that has been focused on the issue of workplace bullying is inconsistent and contradictory. This new analysis could provide future research with a consistent framework with which to work to ensure that those problems are clarified and the gaps in the research filled so that the problem of bullying can be understood better and guidance emerge for managers and company owners that allows them to implement new policies to address the problem more effectively.
Misra, R.K. and Sharma, D. (2022) ‘Understanding workplace bullying: a conceptual review’, Int. J. Management Practice, Vol. 15, No. 3, pp.346–363.
10 May 2022
- A review on smart city - IoT and deep learning algorithms, challenges
- Fixed frequency control with modified PSO-PIλDμ controller for power factor correction and fast regulation
- Sensor based vehicle detection and classification - a systematic review
- The impact of big data in predictive analytics towards technological development in cloud computing
- Machine learning in SDN networks for secure industrial cyber physical systems: a case of detecting link flooding attack
- Real-time voltage security assessment using adaptive fuzzified decision tree algorithm
- Towards enhancing the health standards of elderly: role of ambient sensors and user perspective
The following paper, "Entrepreneurship bridging ethnic divides" (International Journal of Entrepreneurship and Small Business 45(4) 2022), is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Entrepreneurship in post-conflict regions can bridge ethnic divides. That is the primary conclusion of new research published in the International Journal of Entrepreneurship and Small Business.
Ana Kopren of the University of Graz in Austria and Hans Westlund of the KTH Royal Institute of Technology, in Stockholm, Sweden, have looked at how business activity has improved relationships in Bosnia and Herzegovina, Kosovo, and North Macedonia where conflict and division between ethnic groups have been serious issues for many years. It was, of course, 18th Century philosopher Immanuel Kant who perhaps first suggested that economic exchange and trade between countries is a significant contributor to peace between the nations. The team adds that business networks that connect different ethnic groups are very much a positive way forward and preclude to some degree a way of life that implies coexistence by means of segregation.
The team has surveyed some 130 entrepreneurs in Bosnia and Herzegovina, Kosovo, and North Macedonia and found that, perhaps as one might expect, the driving force for those business people working with diverse ethnic networks is fundamentally to increase company profits. The side effect of this drive, however, is the strengthening of bonds between the various ethnic groups within those business networks.
The team writes that their research points to the idea that economic ties can facilitate cooperative patterns and rebuild the broken bonds and divisions between ethnic groups living in the same regions. “Entrepreneurs alleviate ethnic cleavages and improve relations between ethnic groups,” the researchers suggest. In parallel, the researchers add that an influx of refugees from war-torn areas has created new challenges that demand new ways in which to integrate those people into European society for mutual benefit.
“Social values originating from business relationships may be a foundation for reconciliation and collective action,” the team adds. “Repeated business interaction instigates an advantageous social outcome that breaks down prejudices and increases cooperative achievement,” they suggest.
Kopren, A. and Westlund, H. (2022) ‘Entrepreneurship bridging ethnic divides’, Int. J. Entrepreneurship and Small Business, Vol. 45, No. 4, pp.423–449.
9 May 2022
- Operability and maintainability obstacles: an exploratory factor analysis approach
- An integrated grey-based multi-criteria optimisation approach for sustainable supplier selection and procurement-distribution planning
- How management remains expanding its theoretical roots to evolve serenely
- Digital collaboration within the supply chain: unlocking the hidden lean potential
Special issue published: "Revisiting Vehicle Dynamics and Control for Electrified and Autonomous Vehicles"
- Optimised robust path following control of autonomous vehicle with pole constraints
- Four wheel independent steering system control of distributed electric vehicle based on heterogeneous multi-agent
- Robust lateral and longitudinal stability control for delta three-wheeled vehicles with suspension system
- Vehicle sideslip angle estimation: fusion of vehicle kinematics and dynamics
- Cooperative collision warning system design at intersections based on trajectory prediction and conflict risk evaluation
- A priori map-based automated valet parking with accurate adjustment ability for automatic charging
- An adaptive second-order sliding mode for IWM electric vehicle lateral stability control based on super twist sliding mode observer
- Trajectory planning, dynamics modelling and trajectory tracking method for off-road autonomous vehicles considering the road topography information
- Automotive G vector control for comfort improvement and experimental verification
- Rollover detection and prevention of a heavy-duty vehicle on banked and graded uneven road
The gig economy encompasses a wide range of paid tasks. It exists in the digital realm and in many offline activities. The common ground lies in the nature of the link between “employer” and contractor. Usually, gig workers are independent contractors carrying out a wide variety of mostly ad hoc or short-term jobs.
A new investigation into the nature of the gig economy in the USA shows that while entry into this kind of work is equitable between men and women in terms of motivation. Both men and women hoped to earn extra income and have the freedom to choose where they work. Commonly, however, women’s expectations for the actual level of remuneration was lower than that expected by men. This was borne out in reality, the research shows, where the rates for an equivalent job are indeed lower for women.
Robert A. Peterson of the McCombs School of Business at The University of Texas at Austin in Austin, Texas, explains that the gig economy is a heterogeneous collection of firms and individuals engaged in a wide variety of jobs. In the USA, it represents a $1.4 trillion industry and almost 57 million workers, 40 percent of the US workforce, were involved in the gig economy in 2021. The pre-pandemic rate of growth was three times faster than the growth seen in conventional employer-employee workforces, he adds.
“The present study is perhaps the most broad-based investigation of gig workers to date,” writes Peterson, “regardless of whether they obtain or execute their gigs through an online platform or website, work only for a particular company, or engage in only a specific gig.”
Fundamentally, the notion of a gig economy is entirely familiar to a previous generation who would recognise it as nothing more sophisticated than the conventional signing of contractors to do requisite tasks within a firm without them being on the employee payroll. However, the various digital platforms – including Uber, Airbnb, Amazon Mechanical Turk, Upwork, DoorDash, and TaskRabbit – that have emerged in recent years have made access to contracting work much more readily available to a wider range of people. Other, traditionally non-digital, companies have also adopted digital platforms to recruit on-demand workers to carry out ad hoc tasks for them.
The relationship between gender and occupation and gender and remuneration has been researched and discussed widely across many disciplines, such as psychology, sociology, business, engineering, medicine, and even the physical sciences, adds Peterson. However, the vast majority of this research has focused on conventional employment and has not yet considered the gig economy and the existence of a putative gender gap that mirrors what has been seen repeatedly in the traditional workplace.
Peterson hopes to correct this and has undertaken a nationwide survey of more than 1000 gig workers who had taken on “gigs” in the previous year. They were contracted in the digital realm and in the offline world and those surveyed were not limited to conventional industry boundaries nor companies involved.
“Hopefully, the present research will provide insights and an initial foundation for, and stimulate, future research that seeks a theoretical understanding of a phenomenon that has major economic as well as social implications,” Peterson concludes.
Peterson, R.A. (2022) ‘Heterogeneity in the US gig economy with a focus on gender’, Int. J. Applied Decision Sciences, Vol. 15, No. 3, pp.365–384.
6 May 2022
- Fuzzy adaptive finite-time sliding mode controller for trajectory tracking of ship course systems with mismatched uncertainties
- Non-singular terminal sliding mode control for a class of second-order systems with mismatched uncertainty
- Adaptive sliding mode controller design for the bipartite consensus tracking of multi-agent systems with actuator faults and disturbances
- A relative analysis of sliding mode control with reaching law for the vector control of a three-phase induction machine
- Modified sliding mode control for a universal active filter-based solar microgrid system
- A new form of a class of MIMO linear systems for a non-singular terminal sliding mode control
- Fixed-time sliding mode flight control with model-based switching functions of quadrotor unmanned aerial vehicles
- Power control of a stand-alone electric generation hybrid system using integral sliding mode controller
- Residual-based fault detection isolation and recovery of a greenhouse
- A multi-objective criterion and stability analysis for neural adaptive control of nonlinear MIMO systems: an experimental validation
- Design and optimisation of a fuzzy-PI controlled modified inverter-based PMSM drive employed in a light weight electric vehicle
- Load following approach for a VVER nuclear power plant using generic model control
- Swarm activity-based dynamic PSO for distribution decision
- Using the system dynamics model on sustainable safety development of civil aviation
- Spatial coordination perspective of regional sustainable development: control of spatial difference in Guangdong-Guangxi Economic Zone
- Research on paths to emerging markets through business model innovation: the case of Taiwan-funded enterprises entering China mainland market
- Artificial intelligence technology in modern logistics system
- Enterprise green management on the optimisation of financial management system
- How does green operational policy impact on corporate social responsibility and enterprise image? Evidence from South Korean construction enterprises
- Research on model mechanism of B2B transaction based on delivery means of blockchain
- Big data mechanism of railway tunnel base void and degradation damage based on discrete element method
Free open access article available: "Culture's consequences for purchasing: comparing purchasing job ad requirements from different European countries with cultural models"
The following paper, "Culture's consequences for purchasing: comparing purchasing job ad requirements from different European countries with cultural models" (International Journal of Procurement Management 15(3) 2022), is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Scientists are investigating the potential of microbial chemical weapons for use in various industries, such as horticulture, the food industry, veterinary medicine, and even in cancer treatment. A new promising source for extracting such chemicals from dairy waste is reported in the International Journal of Environmental Technology and Management.
Microbes make their own chemical weapons to kill or harm species that might attack them. Microbial fungi for instance make the antibacterial compounds we know as antibiotics. Non-pathogenic bacteria themselves also make such weapons to preclude the growth of other bacterial species around them. One group of such chemical weapons are known as bacteriocins. These compounds can short-chain peptides or even fully-folded proteins. They have a wide range of biological activity.
Harikrishnan Hariharan of Saintgits College of Engineering, Kottukulam Hills, Kottayam District and V.B. Jyothy and Steffy P. Vinson of the MET’s School of Engineering in Thrissur District in Kerala State, India, have investigated sludge from the dairy industry and various other sources, including soil and industrial wastewater. The dairy waste showed great potential as a source of bacteriocins, the team reports.
The team writes that bacteriocins from lactic acid bacteria (found in dairy waste) could be used to make food preservatives, therapeutics for veterinary or medical use, and as phytosanitary for protection of plants. Other experiments with bacteriocins have shown some of them to selectively and actively penetrate human cancer cells causing the cells to die. The fact that they are produced by bacteria that do not cause human or animal disease, steps over one of the various hurdles that might initially be barriers to the commercial development of such products.
The team’s experiments focused on fluorescent pseudomonads from samples obtained from the dairy industry. The team saw activity with extracts of these against the pathogenic microbe Salmonella typhi. The present study offers a novel source for bacteriocins that could be generated in bulk for a wide range of applications.
Hariharan, H., Jyothy, V.B. and Vinson, S.P. (2022) ‘Development of bacteriocins from dairy wastes’, Int. J. Environmental Technology and Management, Vol. 25, No. 3, pp.210–217.
5 May 2022
Free sample articles newly available from International Journal of Technology, Policy and Management
- A group decision-making model for important power user risks based on cloud model and set pair analysis: a case study in China
- New business models with Industrie 4.0 in the German Mittelstand
- Revisiting the theoretical evolution of Industry 4.0: a thematic analysis of research focus
- A study on the relationship between entrepreneurship education and entrepreneurial intention
Special issue published: "Socio-Economic and Technological Approaches Towards Environmental Management"
- Identification of earthworm for sustainable agriculture - a review
- Liver cancer detection based on various sustainable segmentation techniques for CT images
- An in-silico approach for the identification of potential anticancer phytochemicals from Simarouba glauca against the human epidermal growth factor receptor 2 protein
- Investigation on elevation of sloshing liquid in the square tank under excitation using CFD and RSM
- Development of bacteriocins from dairy wastes
- Optical design of integrated line and point focus solar collector for process heat generation
- Peptides: antimicrobial properties and applications
Free open access article available: "Purchasing and supply management skills and personality traits across roles: a job advertisements perspective"
The following paper, "Purchasing and supply management skills and personality traits across roles: a job advertisements perspective" (International Journal of Procurement Management 15(3) 2022), is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Research pick: The eyes have it - "A novel JAYA algorithm for optic disc localisation in eye fundus images"
A regular eye examination is a solid part of maintaining eye health allowing problems to be identified sooner rather than later. Part of such an examination will commonly involve checking the lens of the eye as well as the interior of the eye. Recording a digital image of the light-sensitive retina at the back of the eye is frequently used by ophthalmologists, optometrist and others to detect vascular disorders, such as diabetic retinopathy, evidence of glaucoma, age-related macular degeneration, and optic neuritis.
One of the issues with using computers to analyse a retinal image is to ensure the precise localisation of the optic disc within the retinal image in the computer so that features can be compared more accurately and problems be detectable by software with fewer false positives or false negatives for pathologies and other concerns. A new Open Access paper, published in the International Journal of Computational Vision and Robotics, describes a JAYA algorithm that performs with 99 per cent accuracy in localising the optic disc within the retinal image It uses a novel fitness function to do so. This new system performs better than other methods previously reported in the scientific literature based on tests with a publicly available database of retinal images.
Around 150 million people are afflicted with glaucoma and diabetic retinopathy. Both conditions can lead to compromised sight and ultimately blindness. Unfortunately, there are no obvious external symptoms of the creeping pathology of either condition. Regular detailed examination of the eye is therefore essential, especially of those people in at-risk groups, to detect the earliest signs of the conditions as soon as possible so that treatment can be started to retard the problem.
Visual examination of retinal images is time-consuming for optometrists and takes a great deal of skill and patience. As with many other kinds of medical examination, there is always room for error or the need for the proverbial second opinion. As such, a computerised algorithmic approach could be a useful tool for optometrists to quickly highlight problems with their patients’ eyes without the labour-intensive screening. Once the computer has highlighted a problem the optometrist can then carry out further visual examination of their own to ascertain the seriousness of any condition that is flagged and then prescribe the requisite course of action for their patient.
Kumar, B.V., Zhang, S., Wu, T., Prakash, J., Zhou, L. and Li, K. (2022) ‘A novel JAYA algorithm for optic disc localisation in eye fundus images‘, Int. J. Computational Vision and Robotics, Vol. 12, No. 3, pp.324-342.
4 May 2022
- A survey on access control in IoT: models, architectures and research opportunities
- Adaptive histogram fusion-based colour restoration and enhancement for underwater images
- An efficient range-free multi-hop localisation algorithm for irregular wireless sensor networks
- An effective congestion control scheme based on early offload for space delay/disruption tolerant network
- A model-based approach for multi-level privacy policies derivation for cloud services
- Verification-based data integrity mechanism in smart grid network
Free open access article available: "A novel JAYA algorithm for optic disc localisation in eye fundus images"
The following paper, "A novel JAYA algorithm for optic disc localisation in eye fundus images" (International Journal of Computational Vision and Robotics 12(3) 2022), is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Research pick: Antiviral ventilation - "Modelling of aerosol trajectories in a mechanically-ventilated study room using computational fluid dynamics in light of the COVID-19 pandemic"
We have known for a longtime now that the COVID-19 virus, SARS-CoV-2 is a mostly airborne disease. Ventilation of indoor spaces is therefore one of the most useful ways in which we can keep people safe. Research in the International Journal of Simulation and Process Modelling, has investigated the fluid dynamics of how mechanical ventilation affects the trajectories of aerosols that might be carrying viral particles from infected people.
R.M.P.S. Bandara and W.C.D.K. Fernando of the General Sir John Kotelawala Defence University in Ratmalana, and R.A. Attalage of the Sri Lanka Institute of Information Technology in Malabe, Sri Lanka, point out that the COVID-19 is known to spread more readily indoors than in the open air. Measures such as face coverings and improved ventilation have been useful in attempting to reduce the rates of infection. However, we have much to learn about how different types of ventilation might affect the movement of virus-laden aerosols indoors. As such, the team has modelled the trajectories of simulated aerosols in cavity flow, displacement flow and two cases of mixing flow ventilation.
The models show that mixing-flow ventilation is the most effective form of ventilation for reducing the risk of the virus spreading between people sharing an indoor space. This form of ventilation finds the aerosol particles pulled along by the ventilation airstream and expelled to the outside through the system’s ducting with much less chance of them being inhaled by another person in the room. This is not the case with the other types of ventilation where the air is essentially recirculated within the indoor space to large degree and so virus-laden aerosols might be inhaled by other people.
The team suggests that their models should be used to define optimal mechanical ventilation for different indoor settings and occupancy to minimise the risk of airborne virus being spread from those infected with the virus to others in the room. They point out that the placement of air diffusers and air flow rates, the position of people in the room, whether they are seated, standing, or moving around, as well the geometry of the room, windows and doors, and heating systems are all variables that must be considered to find the best mitigation based on ventilation for any given building. The risk of spread of the virus in a given space must also be weighed against the overall comfort and wellbeing of the occupants of the building.
Bandara, R.M.P.S., Fernando, W.C.D.K. and Attalage, R.A. (2021) ‘Modelling of aerosol trajectories in a mechanically-ventilated study room using computational fluid dynamics in light of the COVID-19 pandemic’, Int. J. Simulation and Process Modelling, Vol. 17, No. 4, pp.250–262.
Free sample articles newly available from International Journal of Dynamical Systems and Differential Equations
- Numerical approach for solving nonlinear stochastic Itô-Volterra integral equations using shifted Legendre polynomials
- Single controller for synchronisation of coupled neural networks with distributed time-varying delays
- A discrete viral infection model with both modes of transmission and distributed delays
- Solving nonlinear Fredholm integral equations with PQWs in complex plane
- Numerical solution of time-delay systems by Hermite wavelet
3 May 2022
- Image tracking and matching algorithm of semi-dense optical flow method
- Adaptive genetic algorithm for scheduling problem in flexible workshop with low carbon constraints
- Rating of catering enterprises based on fuzzy hierarchy and k-means clustering
- 3D object detection based on synthetic RGB image
- Research on point cloud generation algorithm of virtual depth camera
- Experimental and numerical study for dynamic characteristics of truck fuel tank based on fluid-structure interaction
- Finite impulse response low-pass digital filter based on particle swarm optimisation for image denoising
- Multi-model fusion framework based on multi-input cross-language emotional speech recognition
- Analysis of influence factors on employment and entrepreneurship of ex-college soldiers
- Mobile lung cancer early warning based on Windows Azure cloud computing
- Torque calculation model and structural optimisation of axial magnetic drive mechanism
- Explicit implementation of the non-local operator method: a non-local dynamic formulation for elasticity solid
- Solution of structural mechanic's problems by machine learning
- Stability analysis of elastic steel beam-column under high temperature
- Analysis and optimisation of impact wear of diesel engine needle valve assembly
- Sensitivity indices of a reinforced concrete beam exposed to explosions
Research pick: Breaking the bottlenecks for Indian start-ups - "Technology startup ecosystem in India"
Technology start-ups have been the mainstay of emerging industries for many years, particularly since the time of the so-called dot.com era during which many of the devices and systems we still use today were first pushed by the start-ups of the 1990s. According to researchers writing in the International Journal of Business Innovation and Research, e-commerce, healthcare, financial technologies, education, travel, artificial intelligence, and customer services sectors, remain the predominant sectors that continue to spawn innovative start-ups.
Nityesh Bhatt and Punit Saurabh of the Nirma University in Ahmedabad, Gujarat and Ritesh Kumar Verma of the Narsee Monjee Institute of Management Studies in Indore, Madhya Pradesh, India, have reviewed the state of the art in the rapidly developing nation of India. They have taken a holistic approach to examine the eco-system surrounding Indian start-ups but also consider the different components of the ecosystem, including the policy framework, the educational environment, financial support from domestic and international funds, and support organisations such as incubators and accelerators.
Indian tech start-ups have been nudged onwards and upwards by demographic, psychographic, and geographic factors while positive macro and micro environmental forces have resulted in a strengthening of the Indian tech ecosystem making it one of the top three countries in the world in this realm. The researchers point out that there has been substantial and beneficial growth in seed funding driven by the growth of incubators, accelerators, angel networks, and venture capitalists in India. They also describe the mergers and acquisitions scene in India as being positive.
Nevertheless, there are still issues to be overcome. The review has allowed the team to identify bottlenecks in the processes that take place within the start-up ecosystem. This in turn has allowed them to make policy suggestions that might widen those bottlenecks and allow a greater flow of information and innovation and so boost the start-ups within the ecosystem to allow them to serve their putative customers and clients more effectively and sooner, rather than later. Policy changes that recognise the nature of the digital age must be made so that archaic laws are not stymieing advancement. Simultaneously, stakeholders must also be vigilant and play their role in sustaining hard-fought momentum. “Change in the societal mindset for start-ups will be a great catalyst,” the team concludes.
Bhatt, N., Saurabh, P. and Verma, R.K. (2022) ‘Technology startup ecosystem in India’, Int. J. Business Innovation and Research, Vol. 27, No. 4, pp.413–430.
Free open access article available: "Time series forecasting of domestic shipping market: comparison of SARIMAX, ANN-based models and SARIMAX-ANN hybrid model"
The following paper, "Time series forecasting of domestic shipping market: comparison of SARIMAX, ANN-based models and SARIMAX-ANN hybrid model" (International Journal of Shipping and Transport Logistics 14(3) 2022), is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
2 May 2022
- Adaptive iterative learning-based gait tracking control for paediatric exoskeleton during passive-assist rehabilitation
- Gait stabilisation of an underactuated bipedal walker on steep slopes
- Path planning strategy for unmanned aerial vehicles based on a grey wolf optimiser
- Modelling, control and robustness analysis of a 2-DoF exoskeleton-upper limb system
- Improved filter design in internal model control: application to hybrid feed drive mechatronic system
- Self-supervised learning for tool wear monitoring with a disentangled-variational-autoencoder
- The buckling beam as actuator element for on-off hydraulic micro valves
- Discussion on effect of laser parameters and trajectory in combined pulse laser drilling
- Spectral kurtosis based on evolutionary digital filter in the application of rolling element bearing fault diagnosis
- OpenFOAM computation of interacting wind turbine flows and control (I): free rotating case
International Journal of Adaptive and Innovative Systems to invite expanded papers from International Conference on Advances in Communication Technology and Computer Engineering (ICACTCE’22) for potential publication
Research pick: Improving virtual shopping - "Online shopping during the Covid-19 crisis: the impact of anthropomorphic virtual agents on consumers’ psychological states"
The COVID-19 pandemic forced many people to do more activities online than they had in the past, including shopping. However, there are concerns that e-commerce does not match the experience of browsing and shopping in the real world. Research in the International Journal of Technology Marketing has looked at the psychological response of consumers to the increasingly anthropomorphic virtual agents often used on e-commerce sites in an effort to replicate the in-store shopping experience and engagement. Indeed, anthropomorphic virtual agents already exist that can help inform consumers about new products, assist them in making their decisions as to what to buy, and answer questions about a product in which they are interested.
Sihem Ben Saad of the University of Tunis Carthage and Fatma Choura of the University of Tunis El Manar in Tunisia, explain that artificial intelligence has helped many e-commerce sites develop their offering to online customers. However, the experience does not yet match that of customers in “bricks-and-mortar” stores in terms of responsiveness and warmth. The team has surveyed some 660 internet users to examine the nature of their experiences with e-commerce virtual agents and what effects these interactions have on their psychological state when shopping online.
The team explains that the best anthropomorphic virtual agent “is adaptable and can be configured to meet the specific needs of the user. It can even adjust its behaviour according to the situation and to the user’s expectations.” Moreover, these agents can make more advanced decisions based on customer choices as well as negotiate the closing transaction. Fundamentally, the team found that by endowing a virtual agent with a voice, human gestures and conversational skills, companies could maximise the perceived humanisation of the interface and so positively affect their customers’ intentions in ways that static non-interactive e-commerce might not be able to match.
The team adds that such virtual assistants so improve the user experience for many people, that they are then more inclined to spread the word about a successful transaction with friends and relatives and so potentially open up the market to those people through word-of-mouth too.
Ben Saad, S. and Choura, F. (2022) ‘Online shopping during the Covid-19 crisis: the impact of anthropomorphic virtual agents on consumers’ psychological states’, Int. J. Technology Marketing, Vol. 16, Nos. 1/2, pp.27–49.
29 April 2022
- Improving mechanical strength on welded joints by using optimisation technique
- A study on the impact of psychological empowerment on motivation and satisfaction among the faculty working in the technical educational institutions in India based on age and work
- A study on the impact of macroeconomic indicators on the stock price by relaxing the assumptions of stationarity in time series data in a general linear model
- A literature review on the anomalies observed in the newsvendor ordering behaviour
- Mechanical integrity of PEEK bone plate in internal fixation of femur: experimental and finite element analysis towards performance measurement
- Swarm intelligence-based task scheduling algorithm for load balancing in cloud system
Special issue published: "Smart Computational Intelligence-Based Intelligent Control of Power Electronics Devices and its Application in Smartgrids"
- A modified type-2 neuro-fuzzy SVM-based inverter fed IM drive
- Genetic algorithm and anti-predatory swarm optimisation-based solutions for selective harmonic elimination in multilevel inverters
- Battery and super capacitor powered energy management scheme for EV/HEV using fuzzy logic controller and PID controller
- Application of artificial intelligence techniques in the operation of neutral-point clamped rectifier under perturbed conditions
- Virtual inertia support in the microgrid, its research challenges and its technology potentials in recent years
- Performance assessment of PV integrated model predictive controller-based hybrid filter for power quality improvement
- Analysis of tilt integral derivative controller-based automatic load frequency control of multi-area multi-source system
- Implementation of energy management in hybrid renewable energy island systems using soft computing techniques
- Design and implementation of constant flux controller for VSI assisted SEIG feeding induction motor pump
- Finite element and analytic equivalent circuit models for MSIM feeded by MPI controlled by SVPWM strategy to minimise circulation harmonic current
- Rooftop-based magnetically levitated VAWT with specially designed guide vanes for enhanced efficiency in distributed generation
- Research on power quality comprehensive control device under the situation of medium voltage and high power based on H-bridge cascade converter
Research pick: How do you know music was my first love? - "Music emotion recognition method based on multi feature fusion"
Software that can correlate musical changes in an audio recording of a song with perceived emotional content would be useful across the music industry, particularly in terms of cataloguing music and developing music recommendation systems for streaming services and sales. The same approach might also have utility in musical composition and music teaching as well as in music-based therapy. Research in the International Journal of Arts and Technology, recognizes that there are numerous limitations in the current software and points the way forward to how such software might be improved.
Yali Zhang of the School of Music at Henan Polytechnic in Zhengzhou, China, explains how earlier research has focused on training a probabilistic neural network to recognise the nuance of a piece of music and correlate it with the likely emotional responses intended by the composer. However, such work has large error margins that Zhang hopes to preclude in developing her new approach to music emotion recognition. Zhang’s approach involves processing the music signal in order to obfuscate a proportion of the low-frequency information that is not necessarily a part of the music’s emotional content. Her approach also frames the sound signal and then divides the frames by a window function so that they can be processed by the emotion recognition software. In addition, noise is reduced by time-domain endpoint detection, she adds.
With the sound file thus pre-processed, the matter of recognition can begin and this involves analyzing pitch changes, the rise and fall of tone, and the rate at which those changes occur. Zhang explains that a “weight coefficient” of musical emotion can thus be extracted from a sound file. The characteristics thus extracted for known sound files with human-described emotive content can then be used to train the system so that it can automatically recognise the emotive content in a previously uncategorized piece of music. The approach reduces the error margins seen in earlier work considerably making the categorization of musical emotive content much more accurate.
Zhang, Y. (2022) ‘Music emotion recognition method based on multi feature fusion’, Int. J. Arts and Technology, Vol. 14, No. 1, pp.10–23.
28 April 2022
Free sample articles newly available from International Journal of Business Performance and Supply Chain Modelling
- Manufacturing vs. remanufacturing: study and analysis of a green supply chain in Japan and Europe
- Redesign of supply chains for agricultural companies considering multiple scenarios by the methodology of sample average approximation
- Issues of biodiesel supply chain for public sector transportation in India
- A group evaluation method for supplier selection based on interval type-2 fuzzy TOPSIS method
- An environment-adaptive distributed node joining approach and a secure cluster-based architecture for MANET
- Profile matching of online users across multiple social networks: a text mining approach
- Digital commerce in enterprises
- Design of an enterprise cloud-based intrusion detection system model, using back propagation network based on particle swarm optimisation algorithm
- Performance testing in lexical analysis on latest Twitter trends for enterprise network using PIG
- Engineering changes - research findings and future directions
Research pick: Finding a match on social media - "Profile matching of online users across multiple social networks: a text mining approach"
It is perhaps a significant concern that internet users willingly and sometimes unwittingly share their personal and private information through online social networks without a second thought for how that information might be used. There is an ongoing risk of identity theft and users being the victim of other cybercrimes such as scams and phishing attacks. The obverse of perceiving all this shared information is that for researchers hoping to understand the trends within society, the information offers a vast seam of data, opinions, and behaviour that could be mined to extract nuggets of information about humanity. It might even be used to predict how behaviour online and offline might change.
For researchers hoping to dig into this motherlode of data, however, there is a significant obstacle. Many users have accounts on many different social networks and do not necessarily maintain consistency in terms of biography, demographic, data, and identity per se, across the different platforms. Specifically, data obtained from a Facebook or LinkedIn profile can reveal demographic information, such as age, gender, sexuality, relationship status and relatives, race, education, and occupation. Facebook updates and those on Twitter can reveal psychographic information, such as attitude towards a product, online behaviour, and politics.
New research published in the International Journal of Enterprise Network Management, demonstrates an accurate way in which user profiles across different online social networks can be matched. Once matched it is then possible to couple all the demographic information obtained from one platform with the behavioural information from another. One would hope that such information might then be anonymised for the purposes of legitimate research. However, there is always the spectre of nefarious uses being plausible once such data mining tools are available.
Nevertheless, Deepesh Kumar Srivastava of the Institute of Management Technology Dubai in UAE and Basav Roychoudhury Indian Institute of Management Shillong in Meghalaya, India, have demonstrated a way to match profiles on different platforms. Their approach relies on extracting user-generated content and user-shared updates across the different platforms and analyzing it to find the overlap where a user is active on multiple platforms. Their text mining techniques extract high-frequency words and words commonly used in the users’ updates on social media platforms. They have tested the current iteration of their approach on publicly available data sets and demonstrated 72.5 per cent accuracy in matching a user’s profiles on different platforms.
Such a level of accuracy would be useful when coupled with other techniques, such as basic name and location matching and other relatively mundane data mining approaches. Even as a baseline from which to improve the approach it offers an excellent starting point. Future work will home in on overlapping characteristics in user chronology at the timeline level to improve matching where a user might duplicate the sentiment or content of a post on more than one platform and so reveal a match.
Srivastava, D.K. and Roychoudhury, B. (2022) ‘Profile matching of online users across multiple social networks: a text mining approach’, Int. J. Enterprise Network Management, Vol. 13, No. 1, pp.19–36.
27 April 2022
Research pick: Correcting COVID-19 misinformation - "Effects of corrections on COVID-19-related misinformation: cross-media empirical analyses in Japan"
There has been serious discussion about COVID-19 misinfomation. That misinformation has most likely cost many people their lives, driven by messages from those with a hidden agenda to drive everyday people away from science-based medical advice. The question remains as to what is the best way to counter the stream of misinfomation and fake news. Might the mainstream, mass media be able to correct false perceptions about the pandemic and our response to it? Alternatively, is it that many people would respond and engage more fully with corrective information if that reaches them through social media?
Writing in the International Journal of Web Based Communities, a team from Japan has investigated what impact mass media and social media can have on public perception regarding COVID-19 misinfomation. Their model suggests that the way in which people respond to corrective information depends on their level of literacy and the sources that they trust the most.
Tsukasa Tanihara and Hidetaka Oshima of Keio University in Tokyo and Shinichi Yamaguchi and Tomoaki Watanabe of the International University of Japan, also in Tokyo, found that people with an interest and understanding of COVID-19 who saw misinfomation about the disease were more likely to respond to corrective information from the mass media. By contrast, those people with a lower level of literacy regarding the pandemic would more commonly be persuaded to shift their stance if the corrective information came from their social media networks instead. This latter finding, the team says, suggests that those who rely entirely on social media for corrective information may well not have the capacity to distinguish between the facts and the fake.
The findings could have important implications for the education of citizens in the present, ongoing pandemic and in future pandemics as well as in other spheres, such as political elections. The team concludes that it is better to utilize mass media to broadcast corrective information. Secondly, authorized corrections in social media need to be flagged to give them greater prominence so that they reach more people. Thirdly, corrective information must be engaging, if people are disinterested in a topic, they need to be persuaded to assimilate the corrective information before they will accept.
Tanihara, T., Yamaguchi, S., Watanabe, T. and Oshima, H. (2022) ‘Effects of corrections on COVID-19-related misinformation: cross-media empirical analyses in Japan’, Int. J. Web Based Communities, Vol. 18, No. 1, pp.41–63.
26 April 2022
Special issue published: "Efficiency and Performance Trends Under the Impact of Climate Change, Technology, Ageing Population, Immigration and Religious Challenges"
- Funds of hedge funds' role in portfolio diversification during crisis: the case of Cyprus
- Football industry stakeholders' salience and attributes - the case of Cyprus, EU
- The effect of religiosity and demographic variables on Arab women consumers' self-expression through luxury brands: a mixed methods study
- The impact of e-service on hotels' booking: adjusted TAM framework for customers' intentions to book hotels online
- Green controlling in medium-sized companies in Baden-Württemberg: an insight view
- Financial statement misrepresentation: the role of internal and external audit
- An analysis of joint effects of free cash flows and ownership concentration on corporate debt policy
- Dynamic target image correction method of digital media based on virtual reality
- Music note position recognition in optical music recognition using convolutional neural network
- The method to capture the form of opera performance based on machine vision
- Anita Bermeo's transmedial artistic biography of her performatic character 'La Torera'
- Multi-note intelligent fusion method of music based on artificial neural network
- The influence of consumer trust in consumer behaviour toward mobile payment applications amongst young professionals
- Online shopping during the Covid-19 crisis: the impact of anthropomorphic virtual agents on consumers' psychological states
- Factors influencing purchase intention of smartphone: a case of Gen Z Malaysian consumers
- Impact of Alibaba's Double 11 refund collapse event on consumer's willingness to participate
- Brand community and its impact on brand love and repurchase intention in the fashion industry context
- The use and effectiveness of social media marketing on firm's performance and value creation on stakeholders: evidence from Greek B2B exporting firms
- Customer engagement model and consumer behaviour within omnichannel retailing
- Are digital influencers social change catalysts? Empirical findings from the online apparel industry
- Factors affecting adoption of cloud-based services: evidence from an emerging market
Research pick: Networking COVID-19 - "Study of novel COVID-19 data using graph energy centrality: a soft computing approach"
Understanding how infectious diseases, such as COVID-19 (causative pathogen – SARS-CoV-2), spread requires a deep understanding of our social connections and networks. It is the way forward for efficient infection prevention and control, according to researchers writing in the International Journal of Medical Engineering and Informatics.
S. Mahadevi, Shyam S. Kamath, and D. Pushparaj Shetty of the Department of Mathematical and Computational Sciences at the National Institute of Technology Karnataka in Surathkal, Mangalore, India, explain how it is important that we have effective models of infectious disease, especially those with the potential to cause debilitating global pandemics. The team has used graph energy centrality to study COVID-19 data from South Korea (Korean Centers for Disease Control and Prevention) by building a transmission network from that data and also from the Johns Hopkins University data in the USA. The team has also used data from Australia, Canada, China, Germany, India, Italy, and elsewhere to help them validate their model.
The model allows them to home in on the most active nodes, the likely infectious superspreaders, within the network. If such nodes can be detected in a network before a disease has spread widely, those individuals, and perhaps even sites and events might be put under specific isolation rules to slow if not stave off the emergence of a pandemic. The researchers point out that many of the emergent human infectious diseases arise from wild animal hosts where the native virus or other pathogen is often endemic. A problem commonly arises when humans are interacting closely with those animals or other vectors of disease and the pathogen opportunistically makes the leap from species to species reaching a person who would essentially be Patient 0.
Subsequently, the detection of high-risk hosts is important for the management and monitoring of such diseases, especially the identification of those at risk with wide social networks. This will be critical in the face of the next lethal pandemic.
Mahadevi, S., Kamath, S.S. and Shetty, D.P. (2022) ‘Study of novel COVID-19 data using graph energy centrality: a soft computing approach’, Int. J. Medical Engineering and Informatics, Vol. 14, No. 3, pp.282–294.
25 April 2022
- Social distancing close together: the rhizomatic role of WhatsApp in communities - a proposed research framework
- Method of differential privacy protection for web-based communities based on adding noise to the centroid of positions
- Sustaining social capital online amidst social distancing during the COVID-19 pandemic: web-based communities, their mitigating effects, and associated issues
- Web-based community-supported online education during the COVID-19 pandemic
- Remote working in the time of covid-19: developing a web-based community
- Evaluation of high-speed rotation properties of LiCl-KCl molten salt with MgO binder
- Thermophysical properties of Ni-based Waspaloy alloy changed with tungsten, titanium and aluminium
- Effect of precipitation of silicone oil-based nanofluid on thermal conductivity
- Evaluation on the photothermal conversion performance of SiC nanofluid for a direct absorption solar collector
- Study on the optical characteristics according to the anion and cation in the ionic liquid and MWCNT ionanofluid
- Measurement of thermo-optic coefficient of silicon dioxide nanofluid using interferometer
- Measurement of thermal diffusivity of gold nanofluid according to particle size and temperature
- Evaluation of sorption test of iodide on carbon nanotubes to support anionic radionuclide immobilisation method
- Analysis of combustion characteristics using CPFD in 0.1 MWth oxy-fuel CFB
- Numerical study on thermophoresis of dust in air
- Analysis on measurement of hydrogen concentration in air mixture using 3 omega method
Free open access article available: "Influence of YouTube commercial communication on organic eWOM, purchase intent and purchase associations among young consumers"
The following paper, "Influence of YouTube commercial communication on organic eWOM, purchase intent and purchase associations among young consumers" (International Journal of Web Based Communities 18(1) 2022), is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
Research pick: Storytime marketing to millennials - "Story-telling in the digital space – a ploy to communicate with millennials"
Story telling is an ancient human trait. We were perhaps making manifest our imaginings even before we had the spoken word. In the modern world, stories are as important to us as they ever were and are crucial to many human endeavours in the creative arts, in scientific research, and, of course, in the commercial world. Work published in the International Journal of Business and Globalisation, investigates the way in which story telling in the digital realm can be used to influence the choices of millennial consumers.
The so-called millennials, otherwise known as Generation Y, represent those people born in the period spanning the early 1980s to the mid-1990s. The millennials are often thought of as the digital natives having been born into a world of increasingly mainstream information and communication technology. Precise definitions as to the exact dates spanned can vary from treatise to treatise, but 1981 and 1996 are usually considered the boundaries. Generation X preceded the millennials and they were born after the “Baby-boomers” from 1965 to 1980 approximately. They were succeeded by Generation Z (1997-2012) and the next cohort, Generation Alpha (early 20102 to mid-2020s)
Yukti Ahuja and Indu Loura of the Jagan Institute of Management Studies in Delhi, India, allude to the fact that marketers often struggle to engage with millennials. This generation is thought to be the first global generation, one that is highly engaged with ICT and perhaps not readily coerced by the older generation hoping to exploit them using such technology. Their interests are varied and extravagant but are also cynical of inauthenticity and efforts by marketers and advertisers to create fake virality around products.
Companies that can create an authentic story without patently attempting to exploit their target audience, however, can reap the rewards. After all, millennials need to acquire goods and utilize services just as every previous generation and every future generation. Suffice to say, they simply find efforts to patronize them online wholly transparent in a way that the older generation raised on conventional media may not.
Ultimately, millennials, and indeed others, expect authenticity. They are more likely to be enticed if the offering does not seem fake if the “story” around a given marketing drive captures their imagination in a non-patronising way and offers them a product or service in such a way that engages them. At this point, they will feel able to be parted from their hard-earned cash.
Ahuja, Y. and Loura, I. (2022) ‘Story-telling in the digital space – a ploy to communicate with millennials’, Int. J. Business and Globalisation, Vol. 30, No. 1, pp.3–13.
22 April 2022
The following paper, "Global Halal business: a sectoral analysis" (International Journal of Business and Globalisation 30(1) 2022), is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
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