- Demographical gender prediction of Twitter users using big data analytics: an application of decision marketing
- Energy efficient task scheduling using adaptive PSO for cloud computing
- Deep learning-based detection and prediction of trending topics from streaming data
- NITCO: an intelligent agent technique for optimising of resource utilisation in cloud
- A novel approach for dynamic information integration
- Utilising predictive analytics for decision-making and improving healthcare services in public maternal healthcare database
- Computing semantic relatedness using latent semantic analysis and fuzzy formal concept analysis
- Adaptive edge-based bi-cubic image interpolation
- Deep convolutional neural network-based diabetic eye disease detection and classification using thermal images
30 April 2021
Special issue published: "Advances in Machine Learning and Intelligent Systems – Challenges and Solutions"
Free sample articles newly available from International Journal of Intelligent Systems Technologies and Applications
- A novel and improved developer rank algorithm for bug assignment
- Meta-heuristic techniques for path planning: recent trends and advancements
- Design of generalised predictive controller for dynamic positioning system of surface ships
- Detection of glaucoma based on cup-to-disc ratio using fundus images
- Machine transliteration using SVM and HMM
- SPIDER-based out-of-order execution scheme for Ht-MPSOC
- An efficient pattern matching approach using double measures of correlation and rank reduction
- Modified FPred-Apriori: improving function prediction of target proteins from essential neighbours by finding their association with relevant functional groups using Apriori algorithm
- A new image binarisation technique for segmentation of text from digital images
- Metaheuristics-based routing optimisation, balanced workload distribution and security strategy in IoT environment
Research pick: Stockmarkets in the time of covid - "Examining the impact of coronavirus on stock markets: investigating the cointegration and transmission of shocks between China and the world’s largest stock markets"
A new study in the International Journal of Business and Emerging Markets looks at how the beginning of the COVID-19 pandemic affect stockmarkets in China and how the “shocks” experienced there were transmitted to the world’s largest stockmarkets.
Naveed Ul Haq and Abid Shirwani of the University of Management and Technology in Lahore, Pakistan, used a wide range of analytical tools to examine the ebb and flow of value in the long-run and short-term over the period January 2012 to March 2020, which culminated in the announcement of a global pandemic. The tools included unit root test, Johansen cointegration test, vector error correction model, Granger causality test, variance decomposition, and impulse response function test.
The team observed long-run relationships between stock markets and could clearly see short-run results showing that the previous day’s stock prices in Hong Kong and the US had a positive relationship with the Chinese stockmarket. The Granger causality results, however, showed something different – a unidirectional long-run causality from the UK, Hong Kong and Japan to China. In the short-run causality results the effects are bidirectional between China and the world’s major stockmarkets.
The team explains how their findings support the well-known prospect theory or loss-aversion theory, whereby investors are generally more afraid of loss then they are encouraged by a gain. This means that given a choice of two different prospects, investors will generally choose the one that has less chance of ending in a loss rather than the one that offers more gains. In terms of the COVID-19 crisis, the study suggests that it was not the socioeconomic circumstances prior to the pandemic that influenced stockmarket reactions but rather the health policies implemented during the crisis that had the most impact.
Ul Haq, N. and Shirwani, A.H.K. (2021) ‘Examining the impact of coronavirus on stock markets: investigating the cointegration and transmission of shocks between China and the world’s largest stock markets’, Int. J. Business and Emerging Markets, Vol. 13, No. 2, pp.206–232.
29 April 2021
- T-S fuzzy observers design and actuator fault tolerant control applied to vehicle lateral dynamics
- Solar integrated combined cooling-power generation systems for waste heat recovery using different energy efficient materials
- Robust integral sliding mode controller design of a bidirectional DC charger in PV-EV charging station
- A summary study on handwritten documents' word spotting
- Numerical approach for parameter extraction of a photovoltaic module based on datasheet and five parameters model
- Fault detection and isolation using sliding mode observers with sensor fault in robot manipulator
- Testing and simulation of a solar PV/battery storage system with and without PWM charge control
- Effect of some operational conditions on bioelectricity production in algal fuel cell Free access
- Enhancing the performance of a building integrated compound parabolic photovoltaic concentrator using a hybrid photovoltaic cell
- Contribution to the reliability study of photovoltaic systems using static and dynamic analysis methods
- Renewable energy investment prospects in Turkey's power generation sector
International Journal of Powertrains to invite expanded papers from International Conference on Advanced Vehicle Powertrains (ICAVP2021) for potential publication
Research pick: Women entrepreneurs in STEM - "STEM educated women entrepreneurs in Denmark, Latvia and Turkey: a context-based explorative study"
A new study from researchers in Denmark and Germany suggests that despite the growing number of women entrepreneurs, numbers in the STEM (science, technology, engineering, and mathematics) are now adequately represented in this trend. Details of an exploratory study across Denmark, Latvia, and Turkey, are reported in the International Journal of Entrepreneurial Venturing, and hope to explain this underrepresentation in STEM.
Sanita Ármane, Seda İrem Gärtig, and Silke Tegtmeier of the University of Southern Denmark, in Sønderborg and Alexander Brem of the University of Stuttgart, carried out interviews with a number of women entrepreneurs educated in STEM subjects. They uncovered the women’s main motivations, the challenges they face, and the support sources on which they rely to glean important advice for future women entrepreneurs as well as for policymakers to increase the number of STEM-educated women entrepreneurs at the national level.
A recent survey across Europe revealed that only about a third of all the millions of entrepreneurs in the business world are women. This reinforced the long-standing notion that entrepreneurship is a male-dominated field. Moreover, the underrepresentation of women from a STEM background is also rather worrying with most companies run by women not being involved in those areas. Reinforcing a second notion that businesses founded in STEM areas tend to be male-dominated too.
Many observers have argued that encouraging more women entrepreneurs in STEM-related fields is of great importance in terms of economic growth and an enhancing social status. Moreover, gender diversity at the top of any corporate hierarchy is key to ensuring the diversity of employees, again all to the positive in terms of socioeconomic benefits.
This new study points to possible reasons for the shortfall in the number of women entrepreneurs from a STEM background and running businesses that work in the areas covered by STEM. The work shows the apparent differences across three nations and offers new advice on how women from a STEM background might be encouraged to seek out and exploit new opportunities as entrepreneurs.
Ármane, S., Gärtig, S.I., Tegtmeier, S. and Brem, A. (2021) ‘STEM educated women entrepreneurs in Denmark, Latvia and Turkey: a context-based explorative study’, Int. J. Entrepreneurial Venturing, Vol. 13, No. 2, pp.186–216.
28 April 2021
Special issue published: "Machine Learning, Artificial Intelligence and Big Data: Methods and New Perspectives for Research and Society"
- Depth-based support vector classifiers to detect data nests of rare events
- Automated detection of entry and exit nodes in traffic networks of irregular shape
- Does time-frequency scale analysis predict inflation? Evidence from Tunisia
- A SAS macro for examining stationarity under the presence of endogenous structural breaks
Free sample articles newly available from International Journal of Internet Manufacturing and Services
The following sample articles from the International Journal of Internet Manufacturing and Services are now available here for free:
- Factors affecting users' stickiness in online car-hailing platforms: an empirical study
- Analysis of scientific and technological innovation influence factors affect enterprise performance
- Research and analysis on sensitive data encryption method in accounting information processing system
- Multi-source remote sensing image big data classification system design in cloud computing environment
- Reliability in IoUT enabled underwater sensor networks using dynamic adaptive routing protocol
- Trust-based fruit fly optimisation algorithm for task scheduling in a cloud environment
- Outlier data mining of multivariate time series based on association rule mapping
- Research on virus diffusion prevention method for computer singularity in complex sensor networks
- Research on algorithm of information transmission path planning in big data environment
- The information security scheduling method of vehicle self-organising system for wireless sensor
- Mobile self-organising network positioning algorithm based on node clustering
- Design of candidate schedules for applying iterative ordinal optimisation for scheduling technique on cloud computing platform
- PPHE-automatic detection of sensitive attributes in a privacy preserved Hadoop environment using data mining techniques
- SIBLAR: a secured identity-based location aware routing protocol for MANETs
- Divide-by-16/17 dual modulus prescaler design with enhanced speed in a 180nm CMOS technology
- IoT-enabled traffic sign recognition for safe driving
- A hybrid SATS algorithm-based optimal power flow for security enhancement using SSSC
- HUPM-MUO: high utility pattern mining under multiple utility objectives
- A hybrid approach to diagnosis mammogram breast cancer using an optimally pruned hybrid wavelet kernel-based extreme learning machine with dragonfly optimisation
- Hardware implementation of a modified SSD LDPC decoder
- Spur gear safety prediction through the analysis of stress intensity factor
In this Research Pick, we are highlighting three papers from the International Journal of Web Based Communities that focus on how social media has responded to the COVID-19 pandemic in this time of worldwide crisis.
The first paper discusses how social media and web-based communities in general have responded to the pandemic whereby small groups of worshippers almost overnight converted their usual activities to the online world without much need for intervention from the hierarchy above, as it were. The second offers a personal perspective on the pros and cons, the benefits and challenges of social networking during the pandemic. Finally, the third paper looks at how faith communities have moved online to allow their congregations to continue with their religious endeavours.
The emergence of a novel coronavirus, dubbed SARS-CoV-2, in late 2019 and its subsequent spread around the world leading to the declaration of the disease it causes, COVID-19, as a pandemic led to many changes in the daily lives of billions of people. Of course, there is the ongoing tragedy of those who suffer serious symptoms and in many cases death, and there is also the ongoing problem of so-called Long-covid, symptoms that seem to persist long after the person has stopped being infectious, such as severe fatigue and significant disruption or loss of one’s sense of smell.
The socioeconomic symptoms of this pandemic have seen enormous changes in working practices, closure of many areas of normal life such as entertainment and hospitality, the disruption of sporting events, and more significantly the failure of many companies and enterprises and lost jobs for those affected.
We are yet to fully understand what detrimental impact this disease will have on humanity and at the time of writing, new waves of infections underpinned by new, lethal variants of the disease, are overwhelming healthcare systems in Brazil, India, and elsewhere. Many parts of the world remain in lockdown while others that have escaped the worst ravages so far are keeping a weather eye on their borders in the hope of precluding the spread of a new variant in their country.
The role of social media for the spread of information about COVID-19, vaccination programs, and public awareness of lockdown rules may well have helped reduce the total number of infections and deaths from the earliest and potentially devastating predictions. Moreover, social media and its attendant applications, including video conferencing, have allowed many people to continue their work and maintain family and social connections online in a way that would not be possible without this technology.
There has been a downside to the so-called “new normal” for many, especially those on the wrong side of the digital divide that have no reliable access to the requisite devices and high-speed internet connections needed to make the most of social media and video conferencing and the like. Even for those with access to the necessary tech, the downside of living one’s working life and social life almost exclusively online has exacted a toll on mental health for many people trapped behind a screen and unable to fulfil their old-normal roles in life.
All three papers cited below will appear in IJWBC soon.
Isaias, P., Miranda, P. and Pifano, S. (2021) ‘Framing social media and web-based communities within the COVID-19 pandemic: enduring social isolation and subsequent deconfinement’, Int. J. Web Based Communities, Vol. 17, No. 2, pp.120–134.
Issa, T., Al Jaafari, M., Alqahtani, A.S., Alqahtani, S., Issa, T., Maketo, L. and Pervaiz, S. (2021) ‘Benefits and challenges of social networking during COVID-19: personal perspective’, Int. J. Web Based Communities, Vol. 17, No. 2, pp.135–148.
Cooper, A-P., Jormanainen, I., Shipepe, A. and Sutinen, E. (2021) ‘Faith communities online: Christian churches’ reactions to the COVID-19 outbreak’, Int. J. Web Based Communities, Vol. 17, No. 2, pp.99–119.
27 April 2021
- Exploring learning behaviour under an integrated mobile and web-based learning environment
- Learning curriculum vocabulary through mobile learning: impact on vocabulary gains and automaticity
- A literature review of augmented reality, virtual reality, and mixed reality in language learning
- Shepherds for modern times: designing a blended learning course for communication theology
- The role of organisational performance in moderating human resource management and outstanding outcomes in open distance learning context
- An incremental approach for hierarchical community mining in evolving social graphs
- Object categorisation and flame apprehension
- Efficient wideband filter using closed loop resonator with coupling lines
- An analysis of commitment among college teachers
- LiFi-based smart systems for industrial monitoring
- Product recommendation system using optimal switching hybrid algorithm
- Comparison of automated leaf recognition techniques
- A detailed study on context-aware architectures in internet of things
- Enhancing security by two-way decryption of message passing of EMR in public cloud
- Change detection in Landsat 8 imagery using object-based image analysis with particle swarm optimisation
- An analytical hierarchical process-based weighted assessment of factors contributing precipitation
- A hybrid medical image coding based on block truncation coding and residual vector quantisation
- Near-zero computing using NCFET for IoT applications
- A key-escrow free identity-based signature scheme without requirement of a secure channel in the private key issuance phase
- The role of intangible factors in the intention of repeating a tourist destination
- Addressing tourism in county-level planning documents: a pilot application of the community capitals framework
- Web information, accessibility and museum ownership
- Role of social media in outbound leisure travel: an interpretive analysis of Indian travellers
- Factors influencing e-word-of-mouth adoption among consumers availing travel services
- The impact of Airbnb on hidden and sustainable tourism: the case of Italy
- Stakeholders' motivation to adopt corporate social responsibility practices in the lodging industry in an island destination: Balearic Islands case study
- An empirical multidimensional analysis on sustainable tourism: the dynamics of carrying capacity
- Tourism and energy use in lodges and camps in the Okavango Delta, Botswana
Research pick: African spaceports cut rocket fuel costs - "Prospects of siting a spaceport in Africa"
Space is big business once again, Mars rovers and putative moon landings aside, there is an enormous need for geostationary satellites. With increasing traffic there is also a need for new sites for spaceports that might offer reduced energy costs and simpler launching of new satellites. Writing in the International Journal of Aerospace System Science and Engineering, a team from the Obasanjo Space Centre in Abuja, Nigeria, suggest that African spaceports offer a scientifically and economically viable option.
Rocket propellant is the main constituent of launch weight largely irrespective of payload. Indeed fuel accounts for 90 percent of the launch cost. As such, any measures that might be put in place to reduce fuel requirements can offer substantial savings. A launch site close to The Equator would offer several benefits in terms of reducing fuel costs. Obviously, a stationary object on the equator is moving at almost 1700 kilometres per hour relative to a “fixed” reference in space because of the rotation of the earth. If you launch from north or south of the equator, this boost is lower. Halfway to the pole and the speed boost is only 1200 km/h. Launch from the poles and the boost is negligible, it’s also very cold, which is problematic for many other reasons.
Sesugh Nongo, Ngunan Ikpaya, and Ikpaya Ikpaya of the National Space Research and Development Agency explain that the global space launch services market is projected to reach more than 30 billion dollars by 2025 with a 15% compounding annual growth rate. The demand comes from governments, scientists, as well as commercial concerns looking to launch small satellites and “constellations”. Africa has several spaceports that could be revived to meet this growing launch demand.
The team points out how spaceports, specialised ground-based facilities built to launch and receive launch vehicles, were largely the preserve of the major industrialised nations until the early 2000s . At that time many developing nations such as Nigeria, India, and South Africa saw the cosmic potential of launching satellites for security and economic development. With the advent of miniaturisation in electronics and engineering, the cost of building the devices to be launched fell considerably, there does, however, remain a need to reduce launch costs. An equatorial spaceport could be part of the solution.
Nongo, S., Ikpaya, N.M. and Ikpaya, I. (2021) ‘Prospects of siting a spaceport in Africa’, Int. J. Aerospace System Science and Engineering, Vol. 1, No. 1, pp.35–54.
- Factors affecting Macau undergraduate students' acceptance of hospitality English app: applicability of UTAUT model
- K12 teacher-student interaction patterns in the smart classrooms
- Learning engagement through content creation: a case study
- An evidence-based model of adaptive blended learning for health education serving families with a parent or child who has a medical problem
- Latest advances in STEAM education research and practice: a review of the literature
- Humanism and didactic theorems from the early modern era in the knowledge society
- Teaching approach and student performance in e-learning
- Determinants of purchasing decisions of innovative aesthetic medicine services in Poland
23 April 2021
- Exploring workplace expectations: an empirical study on Millennials of India
- Investigating the role of reinforcement and environmental factors in balancing the state of apprehension: evidence from India
- From verbal abuse to intention to leave: role of engagement and emotional exhaustion
- Impact of HRM practices on organisational commitment: evidence from school educators' in Indian context
- The effect of ethical climate on corporate reputation for sustainability of Indian banking
- Employee happiness, engagement and organisational commitment: a literature review
- Role of the service value network in social transformation
- Role of government in sustainable growth and eco-development of economy
- Impact of SHGs on social, economic and political women empowerment: a case study of Ghaziabad District, India
- Innovation and employee turnover in biotechnology companies: rethinking the role of strategic human resource management
- Performance evaluation of public and private sector banks
- Enquiring the dental practitioners' perceptions about dental tourism: a phenomenological viewpoint
- A hybrid ensemble machine learning model to predict success of Bollywood movies
- Entrepreneurship boost: predicated factors based study in digital era
- The role of leadership in organisational climate, job satisfaction and turnover intention among middle level employees in Indian telecom industry
- Effects of T&D practices on job satisfaction: a study of foreign collaborates operating in India
- A comparative analysis of metaheuristic-based clustering schemes for improving the network lifetime in flying ad hoc networks
- Design of high speed multistream free space optics link under clear weather conditions
- Performance analysis of a 10 Gbps-60 GHz high speed RoF transmission system
- Service priority queuing model-based internet of things middleware for load balancing among fog computing centres
- Load balancing of fog computing centre and its security using elliptic curve cryptography
- Content-based retrieval system for surgery videos
- An approach towards hybrid feature selection for detection of DDoS attack
- AIR-IA: an analogous image removal approach using the intelligent archive
Research pick: Fame and fashion - "Fame and Envy 2.0’ in luxury fashion influencer marketing on Instagram: comparison between mega-celebrities and micro-celebrities"
This week, Inderscience Research Picks are focusing on a special issue of the International Journal of Internet Marketing and Advertising dedicated to social media influencers.
The effects of perception of luxury and consumer envy seem to drive the influencing effect of social media micro-celebrities, whereas consumer purchase intention is not so sharply affected by the online activities, endorsements, and sponsorship deals of mainstream celebrities. This is the basic conclusion of a study from researchers in Qatar and the USA looking at luxury fashion goods.
Venus Jin of the NU-Q Communication Department at Northwestern University in Doha, Qatar and Aziz Muqaddam of the Department of Communication Studies at the University of San Diego, California, USA have looked at the effects of fame and envy in influencing consumers on the photo and video social media platform Instagram.
Instagram has given celebrities yet another platform through which they can enhance their fame and perhaps their fortune. Conversely, by sharing aesthetically pleasing content, such as attractive “selfies” or presenting glamorous, flawless body images, happy and luxurious lifestyles, a significant number of users have gained some celebrity of their own. “The exponential growth of Instagram and the increase of Instagram stars can be ascribed to social media users’ quest for fame and recognition as well as an obsession with idealised self-presentation,” the team writes. This new micro-celebrity status provides some degree of power that an everyday user of a website might well never have gained before the advent of social media.
The new findings could offer scholars of business and marketing with relevant theoretical explanations for certain aspects of consumer psychology in this area. Moreover, there are specific implications for marketing and management on how brand managers and advertising practitioners might utilize the influence of micro-celebrity to good effect in selling more of their product.
Jin, S.V. and Muqaddam, A. (2021) ‘‘Fame and Envy 2.0’ in luxury fashion influencer marketing on Instagram: comparison between mega-celebrities and micro-celebrities’, Int. J. Internet Marketing and Advertising, Vol. 15, No. 2, pp.176–200
22 April 2021
- Integrated application of network traffic and intelligent driver models in the test laboratory analysis of autonomous vehicles and electric vehicles
- Dynamic modelling of a railway wheelset based on Kane's method
- Influence of shock absorber damping rates on the fatigue of anti-roll bars of a commercial vehicle
- A high strength and wear resisting AA5083 alloy for armoured vehicle applications: structure property correlation
- RMF based target position estimation and collision probability forecasting technique in freeway junctions
- Study on vehicle driving state and parameters estimation based on triple cubature Kalman filter
- Response surface methodology based on polyamide incorporated with biolubricant for optimisation of operating parameters in heavy vehicles
- Research on application of artificial intelligence model in automobile machinery control system
- Test research on the adhesive and tractive performance of a wheeled tractor
- Design and implementation of 31 level asymmetrical cascaded MLI with DC-DC flyback converter for photovoltaic system using P&O technique for electric traction application
- Automotive industry application of aluminium-based hybrid metal matrix composite
- Failure analysis of leaf spring suspension system for heavy load truck vehicle
- Research on English teaching information pushing method based on intelligent adaptive learning platform
- Research on classification method of answering questions in network classroom based on natural language processing technology
- A model of foreign language listening ability assessment assisted by mobile devices based on neural network
- Modelling and analysis of the impact of smart mobile devices on learning effect based on partial least square regression
- Research on centralised matching method of teaching knowledge categories based on intelligent language recognition
- An evaluation model of English teaching effectiveness based on online education
- Multi-channel interactive interface model for mobile learning terminal by considering user's requirements
- Research on the impact of mobile terminal on fragmented learning efficiency based on DEA
- Research on timeliness evaluation model of online teaching based on intelligent learning
- A case study of Elphinstone Road foot-over-bridge stampede in Mumbai
- Developing community disaster resilience through preparedness
- Risk assessment of commonly transported chemicals in the Port of Houston
- Risk analysis and allocation in public-private partnership power transmission line projects
- An integrated system approach to characterise a drinking water infrastructure system
This week, Inderscience Research Picks are focusing on a special issue of the International Journal of Internet Marketing and Advertising dedicated to social media influencers.
Digitisation and globalisation mean that today, a large proportion of the world can access content and opinion in an instant and conversely share their own content and opinions just as quickly. The search engines and the social media apps, are the tools with which real news and fake news can spread quickly often in a viral manner. This ubiquitous and always-on stream of information and disinformation has led to the rise of so-called influencers, people who by wit or wisdom have found themselves to be hubs within the network. Nodes that have many, many inbound connections from the world at large over any of whom they might offer a guiding word, for good or bad.
Álvaro Lopes Dias of the Universidade Lusófona in Lisbon, Portugal, and colleagues have looked at one area of influence that can have a direct impact on the health and wealth of those being influenced – diet trends. Nutritional advice and the various guidelines we are spoon-fed by governments and food companies may or may not be valid scientifically, it is almost impossible to discern for any given individual, we can only generalize through statistical data. Nevertheless, influencers with an agenda, or worse, with a sponsorship deal may well push certain advice in the name of selling a particular product, whether that’s a new supplement or superfood. Any specific piece of advice or finding will not apply to everyone but only to the average and may well be harmful to some individuals in the long rung if adhered to without professional medical guidance.
One might hope that the influencers would be promoting the healthy option, whatever that might be, but Lopes Dias and colleagues suggest that this is not the case. Moreover, the team suggests that regulations should be put in place to control the spread of fake food news, pointless diets and supplements, and to allow only qualified nutritional scientists to have any real influence on dietary guidance, rather than the latest micro-celebrity or health “guru” to gobble up a large following on social media.
Vasconcelos, C., da Costa, R.L., Dias, Á.L., Pereira, L. and Santos, J.P. (2021) ‘Online influencers: healthy food or fake news’, Int. J. Internet Marketing and Advertising, Vol. 15, No. 2, pp.149–175.
Free open access article available: "Comparison of affective perception by country for emerging IT products and services"
The following paper, "Comparison of affective perception by country for emerging IT products and services" (International Journal of Mobile Communications 19(3) 2021), is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
21 April 2021
- Employee retention during Cooperative banks' mergers and acquisitions
- Barriers to change implementation process by public and private organisations in Saudi Arabia
- A model of duopolistic patent contest with private provisions of industry collective goods
- Website words matter: an analysis of business schools' online brand personalities
- Examining the role of internal communication and employee engagement in Cyprus-based medium-sized organisations in times of challenging strategic changes
- Assessing the implementation of serialisation in pharmaceutical industry in Greece: a qualitative approach
- Credibility of digital influencers on YouTube and Instagram
- Online influencers: healthy food or fake news
- 'Fame and Envy 2.0' in luxury fashion influencer marketing on Instagram: comparison between mega-celebrities and micro-celebrities
- The influence of 'influencer marketing' on YouTube influencers
- Impact of social media influencers on customer engagement and brand perception
The spring edition of Inderscience's Highlights newsletter is now available, and includes the latest news on newly published journals, awards and editorial appointments. It also lists the open access and sample issue articles that have been made available for free since the previous newsletter.
You can subscribe to Highlights here.
Research pick: Beauty is in the eye of the influencer - "Credibility of digital influencers on YouTube and Instagram"
This week, Inderscience Research Picks are focusing on a special issue of the International Journal of Internet Marketing and Advertising dedicated to social media influencers.
The credibility of digital influencers on YouTube and Instagram is discussed in a paper from Elmira Djafarova of the Faculty of Business and Law at Northumbria University, Newcastle upon Tyne, UK, and Natasha Matson of the Newcastle Business School there. The team has specifically looked at those people who are commonly referred to as micro-celebrities in the realm of beauty on these platforms.
The team found that for “beauty gurus” trustworthiness is the most important factor determining credibility but the quality of the video and images shared and the “professionalism” of the person’s profile is also an important part of the public’s perception of a given influencer. In addition, the team found that those influencers using YouTube had the most effect on viewers aged between 18 and 21 years old and was less potent in the older target group, 22-29 year olds. This, they suggest, implies that beauty reference group influence decreases with audience age.
It has previously been demonstrated that beauty gurus are responsible for all (97.4%) of the conversation and “buzz” surrounding new beauty products. But, there remains a need to understand the credibility and trustworthiness of such people, specifically from the perspective of a company recruiting a beauty guru to assist with a marketing campaign, for instance.
This latest study offers a cautionary tale for those marketing executives hoping to benefit from the micro-celebrity status of social media influencers:
Marketers within the beauty industry can take advantage of micro-celebrity influence, but do so carefully to remain credible, especially given the fickle nature of social media in general. They add that beauty brands should not push sponsored content and should instead focus on persuading micro-celebrities to offer endorsements seamlessly through their profiles rather than their content. This, one might suggest, is akin to the classic celebrity endorsement approach. Such endorsements are less questionable to consumers and more likely to be interpreted as credible electronic word-of-mouth whereas a sponsored review or product placement might be perceived as less trustworthy.
Djafarova, E. and Matson, N. (2021) ‘Credibility of digital influencers on YouTube and Instagram’, Int. J. Internet Marketing and Advertising, Vol. 15, No. 2, pp.131–148.
20 April 2021
Free sample articles newly available from International Journal of Technology, Policy and Management
- Digitalisation of industries: a comparative analysis from Australia and Finland
- The use of mobile phone data in transport planning
- Transitional challenges cycle of service offshoring delivery centres in Central and Eastern Europe
- An efficiency analysis of Turkish railways using data envelopment analysis: comparison study
- Diffusion of innovative technology in US oil and gas industry: an empirical study
Special issue published: “The Security and Privacy Challenge and Application of Edge Computing in Advanced Communications Systems”
- An attribute-based cross-domain trustworthy model for internet of vehicles
- The cross-layer oriented security performance to wireless network fibre communication router: the optimisation perspective
- SIP network secure communication model based on improved SIP protocol
- A security protocol of RFID communication system based on password authenticated with provable security
- Security model and design of network communication system based on data encryption algorithm
- Connection-oriented computer network secure communication and encryption algorithm
- A hybrid chemical reaction optimisation algorithm for solving 3D packing problem
- A channel estimation algorithm for large-scale MIMO system using block sparsity adaptive matching pursuit
- Identifying natural images and computer-generated graphics based on convolutional neural network
- A HDFS dynamic load balancing strategy using improved niche PSO algorithm in cloud storage
- End-to-end encrypted communication security technology for mobile terminals
- A new signcryption algorithm for secure communication in ad hoc networks
- Research on the application of data encryption technology in communication security
- Open innovation as a driver for new organisations: a qualitative analysis of green-tech start-ups Stefanie Pakura
- Gearing up for growth: the growth process of new ventures at the base of the pyramid
- The new competitive environment of social enterprises: an experimental study on perceptions and consumer intentions for social vs. traditional enterprises
- Balancing financial, social and environmental values: can new ventures make an impact without sacrificing profits?
- Social franchising: a transitional solution for organisational growth of social entrepreneurial organisations?
Social media has a lot of pros and quite a few cons. One area in which there is much controversy is in the concept of influencers. People with lots of very engaged followers in a particular niche who can affect the decisions their devotees make in many different areas such as what they spend their money on, their own publicly declared likes and dislikes, their opinions on scientific issues such as climate change and vaccination, and even their voting intent.
The emergence of the so-called Web 2.0 whereby erstwhile visitors to websites became content creators and commentators in their own right has led to the advent of micro-celebrities, people who find themselves famous in a small area among a group of people for their prowess, wit, or opinions in that niche. For instance, people creating informative or humorous tutorials for video site Youtube, for instance, have found fame and occasionally fortune by demonstrating their skills and teaching others in cookery, makeup, music, and many other areas.
Indeed, the world of Facebook, Twitter, Instagram, TikTok, and countless other apps and sites offers a platform for such influencers that would simply not have existed for them in the previous incarnation of the world wide web where content and influence were in the hands of the original media companies and a few start-ups. Today, many of the social media influencers are emerging as celebrities in their own right and finding they can command a position in the mainstream media through newspaper and magazine columns, podcasts and radio appearances and even presenting and acting roles on television and in cinema.
Inderscience has now published a special issue of the International Journal of Internet Marketing and Advertising, to share the latest research into how social media influencers are disrupting the notion of conventional marketing.
In an editorial to lead the issue Chong Guan of Singapore University of Social Sciences and Eldon Li of Tongji University, in Shanghai, China, discuss the impact of social media influencers over the past decade. “The proliferation of social media marketing, alongside advances in mobile technologies and location-based targeting, has significantly enhanced the capabilities of customer engagement,” they explain. This has led to the concept of Influencer marketing which is becoming more contextually relevant with brands and has taken off with this unprecedented connectivity.”
Of course, celebrity endorsements and product placement advertising in the media have been with us for many years. However, what is evolving is the concept of what constitutes celebrity and how, given Warhol’s axiom that “everyone will be world famous for fifteen minutes”, fame is something that is grasped or thrust upon the talented and the untalented almost in equal measure regardless of one’s actual proclivity for that worldwide renown.
The Inder science Research Picks this week, dated 21-23 April 2021, will focus on a particular paper selected from the special issue including papers on fame and fashion, beauty gurus, food and diet and the impact of influencers in those realms.
The following paper, "Critical success factors for technology-based startups" (International Journal of Entrepreneurship and Small Business 42(4) 2021), is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
19 April 2021
- Proposed solutions to citizen engagement in virtual environments of social participation: a systematic review
- Examining voters' intention to use internet voting system: a case of Ghana
- Administrative errors and the burden of correction and consequence: how information technology exacerbates the consequences of bureaucratic mistakes for citizens
- Using a service blueprint and the service catalogue concept to plan a smart governance system: the case study of the southern Taiwan science park
- E-governance initiatives in Chandigarh (India): an analytical study
- Linking sustainability reporting to sustainability performance through regulation
- Loyalty and word-of-mouth as outcomes of South African Airbnb customers' relationship quality
- An assessment of employees' intention to retire in Kenya
- A framework for agile project management for the water industry in developing economies
- The nexus between FDI inflows and economic development in Ghana: empirical analysis from ARDL model
- Organisational commitment, work engagement and job performance: empirical study on Nigeria's public healthcare system
Free sample articles newly available from International Journal of Autonomous and Adaptive Communications Systems
- SAMA: a secure and anonymous mutual authentication with conditional identity-tracking scheme for a unified car sharing system
- Adaptive embedded systems: a systematic review
- Fault-resilient and QoS centric dynamic network sensitive routing protocol for mobile-WSNs
- SDN replaced deployment and real-time QoS provisioning based on network models
- A novel zero knowledge proof of retrievability
16 April 2021
Free sample articles newly available from International Journal of Computing Science and Mathematics
- Image reconstruction based on approximate function and modified conjugate gradient
- Stationary distribution and ergodicity of a stochastic single-species model under regime switching in a polluted environment
- A robust second order numerical method for a weakly coupled system of singularly perturbed reaction-diffusion problem with discontinuous source term
- Research on Chinese well-known e-commerce enterprises' innovation ability based on real comment
- An easy-to-use computer program for standardisation methods of population morbidity data
- Collaborative filtering algorithm based on multi-factors
- Local search-based dynamically adapted bat algorithm in image enhancement domain
Research pick: Discerning deep fakes digitally - "Identifying natural images and computer generated graphics based on convolutional neural network"
Computer-generated images are becoming increasingly realistic to the point that viewers might, with a casual glance, assume an image to be a natural, real image rather than CGI, and now even to the point that deep fakes are credible as natural images to all but the most intense gaze and examination.
Work described in the International Journal of Autonomous and Adaptive Communications Systems, shows how a forensic method based on a convolutional neural network (CNN) might be used to automate the distinction between natural images and CGI. Min Long and Sai Long of the School of Computer and Communication Engineering at the Changsha University of Science and Technology, and Fei Peng and Xiao-hua Hu of the School of Computer Science and Electronic Engineering at Hunan University, in Hunan, China, have constructed a new network model fine-tuned using a database of 10000 images.
The proof of principle shows exactly how well this system can distinguish between natural and artificial images. It even works with JPEG images, which notoriously can often suffer from compression artefacts, be scaled, have high levels of visual noise and the effects of post-processing operations that lower their quality and blur the lines between CGI and a digital photograph.
The ability to distinguish between CGI and natural images has important implications for news reporting, politics, and forensic work all of which are increasingly wont to succumb to fake, falsified, and fraudulent images. The team’s approach is based on the Inception-v3 deep convolution neural network and transfer learning. It utilises 2048 dimensions of features in the images, which are extracted by the network for classification to allow the computer to make a decision as to the veracity of an image. In the current setup, this is as high as 98 per cent accuracy for certain types of image. The next step will be to improve performance still further and to perform large-scale experimental tests on its accuracy.
Long, M., Long, S., Peng, F. and Hu, X-h. (2021) ‘Identifying natural images and computer generated graphics based on convolutional neural network’, Int. J. Autonomous and Adaptive Communications Systems, Vol. 14, Nos. 1/2, pp.151–162.
- Application of polymer film of barium titanite nanoparticles in human sports rehabilitation training
- Effect of nano-biomaterials silk-collagen sponge scaffold on the tendon and ligament healing of patients with anterior cruciate ligament injuries
- Research on nanotube combined exercise rehabilitation therapy in treatment of knee arthritis in football players
- Research on self-driving sensor of human movement based on friction nanogenerator
- Research on the application of bio-scaffold materials in rehabilitation of sports articular cartilage injury
- Research on biological movement rehabilitation characteristics of human tendon based on biodegradable nano-biomaterials
- Research on nursing of common open trauma under nano antibacterial technology
- Application and research of nano-biomaterials in knee cruciate ligament rehabilitation after sports injury
- Application and research of nano-biomaterials in meniscus sports injury repair
- Application of rehabilitation of cruciate ligament injury during exercise based on nano-biomaterials tissue engineering treatment plan
- Application and research of adjuvant therapy in sports injury rehabilitation based on nano-biomaterials
- Application and research of nano-biomaterials in the rehabilitation of sports tendon rupture
- Application and research of nano-biomaterials in ankle sports injury rehabilitation
- Research on artificial polymer nano-biomaterials in modern exercise rehabilitation treatment of fractures around the knee joint
- Application and research of nano-biomaterials in repair and treatment of sports ligament injury
- Comparative analysis and study on the rehabilitation of cruciate ligaments before and after treatment with nano-biomaterials
- Biomimetic nano scaffold for sports ligament injury therapy
- Research and exploration of ACL injury repair and reconstruction and application of biomaterials
- Preparation of collagen scaffold nano-biomaterials and its application in patients with sports injuries
- Study on the ability of type I collagen bioactive nanomaterial scaffold to repair spontaneous cartilage injury
- Application of degradable new nano-biomaterials in bone defect repair and its impact on sports health
- Collagen nanomaterial in the recovery of motor ability of patients with peripheral nerve transection injury
- Effects of collagen-based nano-biomaterials on the health of lower limb joint sports
- Effect of quaternary ammonium salt-loaded nanometre mesoporous calcium-silica particle biomaterials on human exercise health
- Research on multi-layer perception motion prediction of breathing on thoracic and abdominal surface under non-therapy
- Application of 3D biological nano scaffold materials in the health treatment of foot and ankle sports
- Collagen nano scaffold in tendon repair and its application in the restoration of sports mechanical properties
15 April 2021
Research pick: Fighting Covid with plant products and repurposed pharmaceuticals - "Molecular docking, ADME and toxicity study of some chemical and natural plant based drugs against COVID-19 main protease"
Chemists Kaushik Sarkar and Rajesh Kumar of the University of North Bengal in Darjeeling, West Bengal, India, have investigated the potential of various natural products of plant origin that might be developed into novel pharmaceuticals for treating Covid-19, the pandemic disease caused by the virus SARS-CoV-2. The team details their molecular docking experiments, absorption, distribution, metabolism and excretion (ADME), and toxicity studies.
Since the emergence of the potentially lethal pathogen that causes Covid-19 parallel research to understand its behaviour, to find effective treatments, and to develop vaccines have been underway. Our understanding of the virus and the disease have grown enormously within the year or so since the pandemic was declared. Novel treatments and patient protocols have been developed and old pharmaceuticals repurporsed to treat the worst of the symptoms. Teams are working on dozens, if not hundreds of vaccines, and several of these are already being used clinically.
However, in the absence of vaccine “security” and global access to such a prophylactic approach to the virus, there remains an urgent need for therapeutic agents. Given the natural product origins of some 40 percent of prescription drugs, the natural world is always a source of inspiration for drug development. The team has investigated known drugs that have been used to treat lung cancer and bronchitis, and as blood-thinning agents. They have also homed in on a range of plant-derived compounds. All were screened against one of the primary viral protein targets, the covid-19 main protease enzyme (PDB: 6LU7).
Docking studies in which a computer model of a molecule of interest is used to see how well it fits into the active site of the main protease revealed a good fit for the following compounds: disulfiram, tideglusib, and shikonin. Any molecule that fits and binds to the active site of a protein can potentially block or even just slow the normal activity of that enzyme and so inhibit the activity of the virus. The team also carried out ADME prediction studies on those lead compounds. Their success suggests a need to move to laboratory testing and ultimately clinical trials in humans to help in the ongoing battle against Covid-19.
The team found that capmatinib, dabrafenib, alectinib, afatinib, trametinib, crizotinib, lorlatinib, osimertinib and tetracycline also revealed themselves to be effective inhibitors of the main protease based on overall docking, ADME, and toxicity parameters. Of the natural products investigated paradol, gingerol, and vasicine were seen as most promising.
Sarkar, K. and Das, R.K. (2021) ‘Molecular docking, ADME and toxicity study of some chemical and natural plant based drugs against COVID-19 main protease’, Int. J. Computational Biology and Drug Design, Vol. 14, No. 1, pp.43–63.
14 April 2021
Free sample articles newly available from International Journal of Information Technology and Management
- Assessing the business dimensions of green IT transformation: a case of an Indian IT organisation
- Does social media use at work lower productivity?
- Implementing ERP evaluation through a fuzzy analysis: an empirical investigation
- A Delphi-based study on the innovation practices in the Albanian financial sector
- Impact of information and communication technologies on productivity growth
- Dynamic management and control of the risk of carbon dioxide content exceeding the standard in green food production base
- Dynamic monitoring of landscape vegetation coverage based on EM-MAP-NDVI fusion algorithm
- Research on monitoring and environmental control of farmland operation based on multi-sensor data fusion
- Research on vegetation coverage optimisation of urban landscape based on vegetation index
- Modelling analysis of energy conservation and emission reduction benefits of landscape environment based on AHP
- Removal of Hg(II) and methylene blue from single aqueous solution by ethylenediamine modified magnetic graphene oxide nanocomposites
- An evaluation and variation analysis of sustainable development capacity in different regions of China
- Climate impact assessment of a pig manure storage system substituted with anaerobic digestion - a case study in Santa Catarina, Brazil
Research pick: Augmented reality for dyslexia - "Using augmented reality to support children with dyslexia"
Augmented reality can be used to support children with dyslexia, according to a team from Saudi Arabia writing in the International Journal of Cloud Computing.
Dyslexia is a well-known and well-studied condition in which people of normal intelligence have difficulty reading. It affects between 3 and 7 people in every one hundred, although up to 20 percent of the population may have some problems.
Dyslexia is a spectrum condition with the least affected perhaps having issues with spelling or reading quickly while those at the other end of the spectrum may have problems not only with simple reading and writing tasks but also with basic comprehension of the written word. There is no well-defined cause and a combination of genetic and environmental factors may underlie dyslexia.
Numerous teaching techniques and even equipment such as visual filters have been used to overcome the problem although novel approaches to teaching are the most successful at ameliorating the worst of the problems to some degree for many people.
Majed Aborokbah of the Faculty of Computers and Information Technology at the University of Tabuk in Tabuk City, Saudi Arabia, is working on different learning scenarios for the Arabic language that are based on human computer interaction principles. In this novel approach meaningful virtual information – audio, video, and 3D environments – can be presented to dyslexic children in an interactive and compelling way with a view to improving reading skills and comprehension. This could circumvent some of the particular issues and complexities facing children with dyslexia when reading and writing Arabic.
Aborokbah, M. (2021) ‘Using augmented reality to support children with dyslexia’, Int. J. Cloud Computing, Vol. 10, Nos. 1/2, pp.17–25.
- Determinants of the intention to participate in semi-marathons events
- Perceived motivation in football/futsal practice according to players and coaches approaches: a tool of strategic management
- The role of patriotism in the city-brand-sport-event relationship
- The structure, content and context of achieved celebrity brands: a study of footballers in their brandscapes
- An advancement in the study of marketing partnership longevity: analysing sport sponsorship survival
- Relationships as strategic assets: a sport fan equity approach
- The brand attachment and consumer behaviour in sports marketing contexts: the case of football fans in Portugal
- Perceived fan associations with MLB teams: bask inspite of reflected failure versus cut off reflected success
13 April 2021
Special issue published: "Information Technology/Information Systems Applications in Enterprise Systems"
- Assessing the impact of information technology on human resource practices: evidence from organisations in Ghana
- Investigation and analysis on crowdsourcing for improving enterprise QoS
- Automatic brain tumour detection using image processing and data mining techniques
- Congestion management with improved real power transfer using TCSC in 30 bus system
- Classification of cricket videos using finite state machines
- An improved mean curvature-based bending model for cloth simulation
- A review on feature selection methods for improving the performance of classification in educational data mining
- Frequency variations management in deregulated environment using intelligent controller
- Automation of smart monitoring for person localisation and alerting network
- Mobile application for children to learn hadith: 'Hidup Cara Rasullullah'
- Promoting business-IT alignment through agent metaphor-based software technology
- Performance analysis of iris biometric system using GKPCA and SVM
- Design and energy optimisation of a hybrid flywheel bus rapid transit
- The effects of particle swarm optimisation and genetic algorithm on ANN results in predicting pile bearing capacity
- The influence of water on frequency response of concrete plates armed by nanoparticles utilising analytical approach
- Machine learning model for dynamical response of nano-composite pipe conveying fluid under seismic loading
- Nonlinear modelling of the dynamic response of pipe conveying fluid coated with FRP under seismic load: comparison of RSM and kriging approach
- Modelling and energy efficiency analysis of a hybrid pump-controlled asymmetric (single-rod) cylinder drive system
First issue: International Journal of Aerospace System Science and Engineering (free sample issue available)
There is a free download of the papers from this first issue.
Research pick: Post-pandemic industry, just in time - "JIT: the best approach after lockdown in country"
Just-in-time practices could help industry and the economy be rebuilt as countries emerge from pandemic lockdown, according to research published in the International Journal of Services Operations and Informatics.
As the potentially devastating effects of the rapid spread of Covid-19 early in 2020 and the subsequent pandemic became obvious, governments were forced to implement rules and regulations in an attempt to hinder the spread of the virus that causes the disease, SARS-CoV-2. These so-called lockdown measures involved shutting down parts of many industries, the hospitality sector, non-essential shopping, and limiting interpersonal contact through curfews and rules on social distancing. Unfortunately, various industries have been affected badly having been forced to halt the manufacture of countless products as demand plummeted and moreover people were limited in what they needed and could purchase.
Surbhi Singhal of the Department of Statistics at Vardhaman College in Bijnor, India, and colleagues have looked at how many suppliers will have remaining inventory to fulfill the renewed consumer demand for products after the lockdown as the world economy resurfaces. They explain how a just-in-time approach to supply could be the most effective way for industries to recover from the pandemic. Just-in-time has been an ephemeral concept for as long as companies have manufactured goods, if not longer.
The just-in-time idea was implemented widely after the Second World War to allow industry to rebuild more efficiently by only buying inventory, storing and transporting that inventory as it needed it. Moreover, it would manufacture and supply only what was needed when it was needed. The strategy was formalized and used to great effect in the 1960s and 1970s by Toyota. Singhal and colleagues now suggest that the time is right for JIT to be employed widely for the post-pandemic world. They have developed a new mathematical model of JIT that could reduce supply and demand problems with resources, make production more efficient, cut storage and transportation needs, and perhaps even shift the notion of quality inspection to the customer.
As we emerge from the Covid-19 pandemic, the conventional approaches to many aspects of life must change, at least for the time being. This could offer us a great opportunity if we can recover efficiently and not revert to old, wasteful approaches in industry. Having JIT models in place ahead of the next pandemic might also serve us well and make industry, and society, as a whole more resilient.
Singh, S.R., Rastogi, A. and Singhal, S. (2021) ‘JIT: the best approach after lockdown in country’, Int. J. Services Operations and Informatics, Vol. 11, No. 1, pp.75–86.
12 April 2021
Free sample articles newly available from International Journal of Services Operations and Informatics
- Social media analytics: a tool for the success of online retail industry
- Review paper on neighbour discovery protocol in IPv6 link-local network
- Quantifying value co-creation: examining the relationship between realised value facets and customer experience in a B2B context
- Construction of an instrument to evaluate the user eXperience of a group of co-creators in the upstream innovation process
- The sovereign debt crisis and national centripetal vs. regional centrifugal forces in political economy: empirical lessons from Spain
International Journal of Business Intelligence and Data Mining to invite expanded papers from 3rd International Conference on Machine Intelligence and Signal Processing (MISP 2021) for potential publication
Special issue published: "A Comparative Review of SMEs’ Financial and Operational Strategies in Local and Global Markets"
- The association between human resource investments in the internal accounting control system and non-audit fees: evidence from South Korea
- Vocational education and training for older workers in aged countries: a comparative study of Korea, Spain, and the UK
- Is decision-making process a mediator of the relationship between economic factor and international academic destination?
- The profile of Indonesian workers: how education influences their welfare status
- Knowledge sharing and shadaqah economy schemes: a better future for Indonesia's economy
- The role of women's entrepreneurial orientation to access external financial supports: empirical evidence from the small and medium enterprises (SMEs) in Indonesia using PLS-SEM
- The effect of income components and tax on inequality in Thailand under comprehensive income
- Implementation of accrual accounting concept in Indonesian government: is it the true concept?
- The roles of perception, transparency, trust and perceived social equity in enhancing citizen satisfaction in the public sector
- The underground economy and tax potential in developing countries: a comparative study of Indonesia and Russia
- The impacts of macroeconomic and financial indicators on stock market index: evidence from Thailand
- Influence of financial literacy, financial attitude, and parental income on personal financial management behaviour: a case study on the millennial generation in Indonesia
- Analysis of factors that influence consumer purchasing decisions on creative industries in Bandung City, Indonesia
10 April 2021
- The edge architecture for semi-autonomous industrial robotic inspection systems
- SMIoT: a software architecture for maintainable internet-of-things applications
- In-network processing for edge computing with InLocus
- Edge-centric resource allocation for heterogeneous IoT applications using a CoAP-based broker
- Docker-pi: Docker container deployment in fog computing infrastructures
Free sample articles newly available from International Journal of Computational Biology and Drug Design
- TopQA: a topological representation for single-model protein quality assessment with machine learning
- Modelling of hypoxia gene expression for three different cancer cell lines
- Boosting gene expression clustering with system-wide biological information: a robust autoencoder approach
- Pessimistic optimisation for modelling microbial communities with uncertainty
- High scoring segment selection for pairwise whole genome sequence alignment with the maximum scoring subsequence and GPUs
- Brain-wide structural connectivity alterations under the control of Alzheimer risk genes
- Drug-drug interaction prediction based on co-medication patterns and graph matching
- A De-Novo drug design and ADMET study to design small molecule stabilisers targeting mutant (V210I) human prion protein against familial Creutzfeldt-Jakob disease (fCJD)
- A hidden Markov model-based approach to reconstructing double minute chromosome amplicons
Special issue published: "South East Asia: Business and Management Perspectives for Sustainable SMEs"
- Impact of talent management practices on financial performance: evidence from GCC banking sector
- The role of micro Takaful industry for the achievement of Islamic financial inclusion in Pakistan
- Understanding young consumers' mindset shift toward ride-sharing services
- Dimensional impact of emotional intelligence on employee performance: an empirical study of the banking sector in Djibouti
- The role of transformational leadership in facilitating internal resources to create competitive advantage for small and medium-sized enterprises in Vietnam
- The comparative performance of Islamic and conventional banks: a meta-analysis
- Japanese managers' perspectives on project risks in the energy industry
- Determinants of environment, social and governance disclosures by top Malaysian companies
- Mediating effect of competitive strategy in the relationship between strategic human resource management and performance of small and medium enterprises in Brunei Darussalam
- Practice of business sustainability. Evidence from the Malaysian manufacturing sector
Free sample articles newly available from World Review of Science, Technology and Sustainable Development
- Open innovation: the challenges of knowledge integration in bi-national projects
- Proposal of innovation criteria for the selection process of micro, small and medium enterprises projects in the Inovacred Program
- The triple helix approach in the defence industry: a case study at the Brazilian Army
- Forecasting power load curves from spatial and temporal mobile data
9 April 2021
- Laser polishing of additive laser manufacturing surfaces: methodology for parameter setting determination
- An integrated approach for multi-period manufacturing planning of job-shops
- Supplier evaluation and selection based on quality matchable degree
- Review on modelling of friction stir welding using finite element approach and significance of formulations in simulation
- Mobility of sink-based data collection protocol for energy balancing in WSN
- Using augmented reality to support children with dyslexia
- Fuzzy-C means segmentation of lymphocytes for the identification of the differential counting of WBC
- A new venture to image encryption using combined chaotic system and integer wavelet transforms
- Programming and epic-based digital storytelling using scratch
- Word sense disambiguation using optimisation techniques
- Protection of mental healthcare documents using sensitivity-based encryption
- Multi cloud-based secure privacy preservation of hospital data in cloud computing
- Effective data management and real-time analytics in internet of things
- An efficient document clustering using hybridised harmony search K-means algorithm with multi-view point
- DNA coding and RDH scheme hybrid encryption algorithm using SVM
- Computation of testing approach in cloud mobility service
Free sample articles newly available from International Journal of Bioinformatics Research and Applications
- Extrapolating the effect of non-synonymous SNP in bread wheat HSP16.9B gene: a molecular modelling and dynamics study
- A comprehension of contemporary effort for tracking of lip
- A comparison of genetic imputation methods using Long Life Family Study genotypes and sequence data with the 1000 Genome reference panel
- Identification of novel flowering genes using RNA-Seq pipeline employing combinatorial approach in Arabidopsis thaliana time-series apical shoot meristem data
- In silico deleterious prediction of nonsynonymous single nucleotide polymorphisms in Neurexin1 gene for mental disorders
Research pick: Modular news gathering - "A distributed architecture for large scale news and social media processing"
The use of small processing modules can significantly reduce overheads on computing systems with limited resources available to them when large amounts of data must nevertheless be processed. Research by a team in Greece described in the International Journal of Web Engineering and Technology shows how that approach can be used for content aggregation, information extraction, sentiment tagging, and visualisation tasks.
Iraklis Varlamis and Dimitrios Michail of the Department of Informatics and Telematics at Harokopio University of Athens and Pavlos Polydoras and Panagiotis Tsantilas of Palo Ltd in Kokkoni, Greece, have demonstrated how this modular approach might function well on the social media and news analytics platform, PaloAnalytics. The team shows how their proposed architecture can easily withstand the pressures of increased content load when an issue goes viral on social media, such as when a major event takes place. The micro-modules that replace the monolithic architecture of conventional data-processing systems can quickly release unused resources when the content load reaches its normal flow.
The researchers point out that even from the early days of primitive web crawlers that became the foundation of search engines and other related tools, it was recognized that distributed processing is the only viable way to taming the vast quantities of textual data being generated even way back then. Today, the scale is almost unimaginable with many petabytes of data to be assimilated, aggregated, processed, indexed, and annotated with meaning. The vast realms of the web and social media systems offer us a rich seam to be tapped for information and knowledge if the tools can be built to cope with the bits and bytes.
The team’s tests so far were based on analysis of 1500 websites, 10000 blogs, forums, hundreds of thousands of public Facebook pages, Instagram, Twitter, and YouTube updates, across six European nations and in six different languages. Their work shows where improvement might be made to build a powerful analytical tool that would be scalable and allow us to soon mine those enormous knowledge seams efficiently and in an effective way.
Varlamis, I., Michail, D., Polydoras, P. and Tsantilas, P. (2020) ‘A distributed architecture for large scale news and social media processing’, Int. J. Web Engineering and Technology, Vol. 15, No. 4, pp.383–406.
8 April 2021
- Research on transfer case transmission power of heat load characteristics
- Design of robust output-feedback-based automatic steering controller for unmanned electric vehicles
- European high-speed bogie technology review
- Research on the real-time identification approach of longitudinal road slope and maximum road friction coefficient
- High dimensional expression of combined approximation model
- Innovative method for linking anthropisation process to vulnerability
- Sustainable management approaches for underground heritage structures threatened by the environment and the human presence
- Sustainable coastal zone management of Strymonikos Gulf: implementation of the analytic hierarchy process through an application designed using the programming language C# (sharp)
- A review article on vermibiotechnology and waste management
- A non-formal education approach of medicinal plant sellers
- Internationalisation strategies of African MNEs: a case analysis of Angolan and Mozambican enterprises
- Analysing the direct and indirect effects of entrepreneurial competencies on international market diversification and profitability: a study of small exporting firms in Ghana Prince
- A pilot study on measuring organisational culture in Vietnamese corporations in light of task and relationship orientations
- Are there export spillovers in manufacturing industry? Evidence from Switzerland
Research pick: Mediterranean migrants - "Rescuing, kidnapping, and criminalising. Migration containment in the Mediterranean"
Glenda Garelli of the School of Geography, University of Leeds and Martina Tazzioli of the Department of Politics at Goldsmiths University, UK, have investigated migration “containment” in the Mediterranean. They provide details of their findings in the International Journal of Migration and Border Studies.
The lot of the asylum seeker, the political migrant, is not a happy one. There is an ongoing migrant crisis around the world. The current work focuses on the European perspective where hundreds of thousands of people have over many years fled the country of their birth in the wake of political upheaval and the activities of dictatorial regimes, following serious economic strife, and to escape natural disaster. Unfortunately, the nations within Europe to which the migrants flee in the hope of claiming asylum and a new life are not handling the crisis well.
Many asylum seekers find themselves trapped at sea on rescue boats that scoop them up from makeshift and unsafe vessels, others find themselves turned back to their homeland where they might face serious repercussions, such as imprisonment, torture, and worse. Garelli and Tazzioli explain that “borderwork” in this region has increasingly focused on smuggling activities to achieve migration containment goals.
They suggest that there has been a triple-stranded evolution of the politics surrounding containment of migrants in the central Mediterranean, specifically the sea corridor that connects Libya and Italy. The first strand, is the practice of blocking migrants at sea upon rescue, the team refers to this as the politics of migrant kidnapping. The second strand is the statecraft of civil society whereby those who rescue migrants whose boats are in distress become entwined in smuggling organisation by policy so that rescuers find their activities criminalised. The final strand is the way in which smuggling networks are made part of border enforcement practices.
Fundamentally, these three strands are woven together to the detriment of the migrant. Often rescued migrants criminialised by the smugglerisation of their rescuers are returned home by the Libyan Coast Guard with European support. This means that the nations that would otherwise provide a new home for the migrants need not accept these desperate people nor expel them in “push-back operations”. Rescue and capture must be separated to allow those in need a chance of a new life.
Garelli, G. and Tazzioli, M. (2020) ‘Rescuing, kidnapping, and criminalising. Migration containment in the Mediterranean’, Int. J. Migration and Border Studies, Vol. 6, No. 4, pp.280–297.
7 April 2021
Free sample articles newly available from International Journal of Business Continuity and Risk Management
- 'Global cybersecurity legislation?' - factors, perspective and implications
- Reexamining fire emergency management in Korea
- Process system resilience: from risk management to business continuity and sustainability
- Explaining the competitive advantage in strategic research and technology management for research and technology organisations
- Neural networks and technical analysis for price prediction: the case of Borsa Italiana SP MIB
- Plug-in HEV energy management strategy based on SOC trajectory
- An energy-efficient torque distribution strategy for in-wheel-motored EVs based on model predictive control
- Research on multi-mode regenerative braking energy recovery of electric vehicle with double rotor hub motor
- Active steering PMSM speed control with wavelet neural network
- Active synchronising control of dual-mode coupling transmission for electric vehicles
- Heavy-duty vehicle longitudinal automation with hydraulic retarder via H infinity control and off-policy reinforcement learning
- Path tracking controller design for autonomous vehicle based on robust tube MPC
- Multi-step torque distribution for an over-actuated electric vehicle
- Design of nonlinear hierarchical controller for intake manifold pressure and boost pressure of turbocharged gasoline engine
- Temperature prediction and winding temperature measurement of a solenoid valve
- Investigation into transmission radiated noise during the acceleration of electric buses based on response surface methodology
- Analysis of a passive scissor-like structure isolator with quasi-zero stiffness for a seating system vibration-isolation application
- Real-time model predictive control for thermal management in an automotive ICE with an electrified cooling system
Free open access article available: "ICT enabled cross-sector collaboration in emergency response: emerging forms of public-sector network governance"
The following paper, "ICT enabled cross-sector collaboration in emergency response: emerging forms of public-sector network governance" (International Journal of Emergency Management 16(3) 2020), is freely available for download as an open access article.
It can be downloaded via the full-text link available here.
- Rural tourism and residents' well-being in Cyprus: towards a conceptualised framework of the appreciation of rural tourism for islands' sustainable development and competitiveness
- Generational perceptions of prosperity on the niche tourism island destination of Ikaria, Greece
- Spiritual tourism on the island of Corfu: positive impacts of niche tourism versus the challenges of contested space
- Niche tourism (birdwatching) and its impacts on the well-being of a remote island and its residents
Research pick: Nuclear stakeholders in Korea - "Management of nuclear power plant emergency: a case of Korea"
Could corruption in the nuclear industry lead to a radiological emergency in Korea should it face a major natural disaster, such as the earthquake and ensuing tsunami that rocked Japan in 2011? New research published in the International Journal Business Continuity and Risk Management looks at the worst-case scenarios in the context of apparent corporate corruption that has led to the use of defective components. The current nuclear power inventory is capable of surviving a magnitude 6.5 earthquake and only three plants built since 2013 could withstand damage from up to a magnitude 6.9. Given that it was a magnitude 9.0 earthquake in the region that led to the tsunami that devastated Japan, the research suggests that Korea is not free of danger when it comes to earthquakes affecting its nuclear plants.
Kyoo-Man Ha of the Department of Public Policy and Management at Pusan National University in Busan, South Korea, has looked at self-interest and all-interest management practices across the nuclear power industry. The local “stakeholders” might be seen as the nuclear power plant operating company, local government, non-governmental organisations (NGOs), and residents. But, there is, of course, an international perspective too as a major incident at a nuclear power station can affect the neighbouring countries and even the rest of the world if there is a sufficient large disaster that leads to the release of radioactive material into the environment, the oceans, and the atmosphere.
The research suggests that despite there having been an increased awareness of the potential for radiological emergencies in the context of natural and other disasters, emergency management in Korea sees each stakeholder close to a nuclear power plant insisting on addressing problems and dealing with such emergencies at the individual, local level. This completely ignores the fact that a nuclear incidence is a much bigger problem than an isolated issue to be addressed locally and must be seen as a societal and international issue.
Ha suggests a new, more encompassing model of emergency management. The new model provides a framework for a broader strategy that can be implemented in a time of crisis where all stakeholders play a part and the detrimental impact on the wider community and internationally might be minimized should the worst-case scenario arise. Greater stakeholder involvement might also mitigate some of the ongoing problems associated with corruption.
Ha, K-M. (2021) ‘Management of nuclear power plant emergency: a case of Korea’, Int. J. Business Continuity and Risk Management, Vol. 11, No. 1, pp.52–65.
6 April 2021
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