Inderscience is media partner for Lightweight Vehicle Manufacturing: Joining, Forming & Assembly Summit 2015

Inderscience is a media partner for the Lightweight Vehicle Manufacturing: Joining, Forming & Assembly Summit 2015 (18-19 November 2015, Birmingham, UK).

The journals involved are:

• International Journal of Automotive Technology and Management
• International Journal of Automotive Composites
• International Journal of Vehicle Design
• International Journal of Vehicle Performance

Inderscience is media partner for Automotive Lightweight Interiors Cost Effective Material Application & Design Congress

Inderscience is a media partner for the Automotive Lightweight Interiors Cost Effective Material Application & Design Congress (27-28 January 2015, Munich, Germany).

The journals involved are:

• International Journal of Automotive Technology and Management
• International Journal of Automotive Composites
• International Journal of Electronic Transport
• International Journal of Vehicle Design
• International Journal of Vehicle Noise and Vibration

Call for papers: "Secure and Distributed Big Data Analysis"

For a special issue of the International Journal of Computational Intelligence in Bioinformatics and Systems Biology.

Effective big data analysis depends on access to large and high-quality data sets. Advances in genome sequencing technology increasingly delivers these data sets. Sequencing projects such as the International Cancer Genome Consortium (ICGC, 300TB) and UK10K (100 TB) produce data sets whose size already poses challenges on many analysis platforms; the Pan-Cancer Analysis of Whole Genomes (PCAWG) project already aims to analyse data on the Petabyte scale.

 

Additionally, data sets of high clinical importance are typically access controlled, placing limits not only on who can use this data, but also on the environment in which this data may be used, to maintain privacy and confidentiality requirements. There is also a growing amount of data held by private institutions, for example by pharmaceutical companies. This data often cannot be made public as a matter of corporate interest; however, some of the data may still be available for analysis in special circumstances or for special collaborations.

 

The analysis problem that emerges from this developing data landscape is one where the analysis algorithm needs to be able move towards the data, instead of expecting to have the data available locally. It requires the algorithm to perform analysis in individual steps, on globally dispersed data, in heterogeneous computing environments, potentially on encrypted data, while maintaining confidentiality and privacy agreements in place for the data.

 

For this special issue, we are soliciting submissions for a thematic collection of technical papers and research and commentary articles that explore the frontier of research and practice in this field.

 

Suitable topics include, but are not limited to, the following:

• Algorithms and bioinformatics
• Networking and communications
• Computer architecture and real-time systems
• Database and data mining
• Security and information assurance
• Distributed and parallel systems and algorithms
• Software engineering
• Embedded systems and software
• Web and internet computing
• Grid and scalable computing
• Intelligent information and database systems

 

Important Dates

Submission of manuscripts: 1 February, 2016

Notification to authors: 28 March, 2016

Final versions due: 30 May, 2016

Free sample articles newly available from International Journal of Knowledge Management Studies

The following sample articles from the International Journal of Knowledge Management Studies are now available here for free:

• Interrelations between strategic orientation, knowledge management, innovation and performance. Empirical findings from a national survey in Germany
• Assessing firm capabilities for innovation
• The future of case teaching: applying strategies for enhancing student knowledge with wisdom
• Organisational ambidexterity in the search phase of the innovation process. Evidence from a leading case study
• Network absorptive capacity: an interorganisational practice-based analysis regarding the development of X-ray technologies
• Organisational manoeuvres for exploring and exploiting external knowledge
• Absorptive capacity in collaborative technology transfer - a practice perspective on four cases in optics in the USA and Germany
• The different modes for absorbing knowledge: an analytic lens on absorptive capacity from a process perspective
• Revisiting absorptive capacity from a design perspective

Call for papers: "Recent Research Trends in Life Sciences and Healthcare"

For a special issue of the International Journal of Telemedicine and Clinical Practices.

Life sciences and healthcare play a significant role in the well-being of individuals, both as medical solutions and for healthcare towards everyday well-being. New models and methods continue to be developed to produce safer healthcare environments.

 

The rapid growth of using devices and technologies in medical fields has generated new opportunities for emerging application improvements; however, huge challenges still need to be addressed in order to develop consistent, suitable, safe, flexible and power-efficient systems fit for medical needs.

 

Suitable topics include, but are not limited to, the following:

• Understanding of life processes for possible academic, therapeutic or commercial applications
• Solutions for challenges in academia and practice
• Technologies for cleaner, healthier and sustainable environments
• Advanced technologies, devices, protocols and best practices
• Techniques for addressing sustainable food and energy challenges
• Innovations and ideas for improving the quality of healthcare and quality of life
• Novel therapeutic techniques
• Understanding of challenging diseases, epidemics and their management
• New imaging techniques and rapid diagnostics systems
• Innovative digital healthcare systems
• Management practices, operations and logistics innovations for health and pharma industries
• Medical tourism
• Green and sustainable hospitals and rehabilitation centres
• Effective public health and sanitation models
• Alternative medicine and therapies
• Affordable medical care systems and estimation of economic impact on end users
• Technological, social, economic and psychological challenges for the health industry
• Novel rehabilitation techniques
• Innovation in medical education
• Disease modelling techniques
• Drug discovery, trials and development

Important Dates

Submission of manuscripts: 31 December, 2015

Notification to authors: 31 January, 2016

Final versions due: 31 March, 2016

Inderscience is media partner for Shenzhen International Small Motor, Electric Machinery & Magnetic Materials Exhibition

Inderscience is a media partner for 14th Shenzhen (China) International Small Motor, Electric Machinery & Magnetic Materials Exhibition (24-26 May 2016, Shenzhen, China).

The journals involved are:

• International Journal of Advanced Mechatronic Systems
• International Journal of Industrial Electronics and Drives
• International Journal of Mechatronics and Automation
• International Journal of Mechanisms and Robotic Systems
• International Journal of Power and Energy Conversion
• International Journal of Power Electronics

More information on this event is available here.

New Twitter account for European Journal of International Management - @EJIM_Editor

The European Journal of International Management has recently launched a Twitter account. Follow the page for the latest tweets, news and views from its Editor in Chief, Prof. Vlad Vaiman.

Wavelets for earlier cancer diagnosis

An approach to converting the data from MRI (magnetic resonance imaging) machines, mammograms and other medical equipment gives doctors a much clearer picture of your insides and a chance to detect disease and other problems earlier, according to research published in the International Journal of Biomedical Engineering and Technology. The technique known as the wavelet transform was first reported in 1910, but it was during the early 1990s that its applications in medicine and biomedical research first emerged and it is now reaching maturity as a technique to supplement or even displace conventional analytical methods.

The conventional approach to processing imaging data from medical scanners is to apply a computer algorithm, a Fourier transform, which converts the raw signals into a format that can be displayed as an image on the computer screen to reveal brain damage, detect tumors and look for defects in the heart and for countless other diagnostic reasons. The Fourier transform is a powerful tool but Satya Singh and Shabana Urooj of the Gautam Buddha University, in Uttar Pradesh, India, suggest that an alternative signal processing system based on an analysis of “wavelets” could improve medical imaging significantly. They point out that a wavelet transform applied to the raw imaging data would boost the signal to noise ratio for the data by ignoring many of the artifacts generated by interfering electrical signals and waves present in the body and picked by the scanner.

The team reports that the same wavelet transform approach could have applications not only in MRI but in simplifying electrocardiography, de-noising biomedical images and in facilitating and functional neuroimaging, including positron emission tomography and functional MRI (fMRI). The latter requiring data processing in real-time so that live images can be recorded and studied. In addition, the wavelet transform produces a much smaller digital file than conventional processing, which means faster data transfer and lower storage requirements per scan.


Singh, S.P. and Urooj, S. (2015) ‘Wavelets: biomedical applications‘, Int. J. Biomedical Engineering and Technology, Vol. 19, No. 1, pp.1-25.
Original article: Wavelets for earlier cancer diagnosis.
via Science Spot » Inderscience http://ift.tt/1FAXOS3

Call for papers: "Computational Intelligence and Multi-Agent Systems"

For a special issue of the International Journal of Reasoning-based Intelligent Systems.

An agent-based system is a new paradigm for the conceptualisation, design and implementation of intelligent software systems. Agents are computer programs that act autonomously on behalf of their users, across open and distributed environments, to solve a growing number of complex problems. These agents are able to provide the best solutions under the given circumstances. A multi-agent system is a loosely coupled network of agents which work together to solve problems that are beyond the capabilities of individual agents. The agents are autonomous, and may be heterogeneous in nature.

 

The intersection between computational intelligence and multi-agent technology opens new significant scenarios in many fields where the representation and management of complex systems play a fundamental role. The role of uncertainty becomes crucial for an efficient and coherent resolution of complex problems in the formulation of intelligent agent-based systems. Agents overcome classical programs, thanks to their inner capabilities to be autonomous and to adapt their behaviour to the changing of the environments where they are based and interact. This means that they inevitably encounter uncertainty during their work, or in many cases, due to the great complexity of a problem, the information they handle is (or needs to be) approximate.

 

Only in recent years has there been a growing awareness that computational intelligence-based handling of uncertainty in agents is equally important as the other features of the agent paradigm. Computational intelligence techniques – including fuzzy sets, neural networks, evolutionary algorithms and their hybridisations – can be successfully applied to agent systems for solving real-world complex problems. These intelligent multi-agent systems are able to solve problems that are beyond the capabilities of individual agents, mainly because of their collective intelligence.

 

The objective of this special issue is to provide an opportunity to researchers working in the area of theory and applications of computational intelligence and multi-agent systems. The issue invites contributions from the academic community and industry experts in order to report on recent advances in this area.

 

Suitable topics include, but are not limited to, the following:

• Agents for intelligent manufacturing systems
• Agents for knowledge discovery and knowledge management
• Agents for ambient intelligence
• Agents for dialogue systems
• Agents for intelligent avatars
• Environment-aware agents
• Holonic agents
• Agents for smart environments
• Middleware agents
• Embedded agents
• Mobile agents
• Adaptive and personalised systems
• Business intelligence
• E-learning, e-commerce and e-governance
• Decision support systems
• Human-computer interaction
• Knowledge-based and expert systems
• Mobile systems
• Recommender systems
• Semantic web-based systems
• Social network analysis
• Temporally intelligent systems
• Trust, reputation and security
• Digital image processing and watermarking
• Steganography and steganalysis

 

Important Dates

Submission of manuscripts: 31 January, 2016

Notification to authors: 31 March, 2016

Final versions due: 31 May, 2016

Inderscience is media partner for 4th Annual Nuclear Energy Expansion Summit

Inderscience is a media partner for 4th Annual Nuclear Energy Expansion Summit (1-2 October 2015, Istanbul, Turkey).

The journal involved is the International Journal of Nuclear Energy Science and Technology.

European J. of Cross-Cultural Competence and Management to publish expanded papers from IACCM2015

Extended versions of papers presented at the 14th IACCM Annual Conference (1-3 October 2015, Vienna, Austria) will be published by the International Journal of European Journal of Cross-Cultural Competence and Management.

Call for papers: "Big Data and Predictive Analytics Applications in Supply Chain Management"

For a special issue of the International Journal of Automation and Logistics.

In recent years, big data and predictive analytics have attracted burgeoning interest among academia and practitioners (see Wamba et al. 2015; Dubey et al. 2015; Dubey and Gunsekaran, 2015). In current practices, data is generally collected to test the theoretical models derived after extensive literature review, opinion from experts and experience.

This traditional approach has several limitations. Moreover, social media and online data collection and analysis have created opportunities to utilise data for making real-time and more accurate decisions in supply chain management. Hence, various scholars have expressed the need for robust techniques. Waller and Fawcett (2013) have argued for redefining existing theories in supply chains as big data possesses immense potential in terms of volume, velocity and variety (3Vs). In the past, due to limitations of data in terms of volume and variety, researchers have most of the time had to limit the scope of their studies into supply chain. Hence, there is need for revisiting existing theories in supply chain management with data powered by 3Vs.

What is less understood in supply chain literature is the adequate use of big data in supply chain management (Hazen et al. 2014). Contributions to the supply chain literature using big data are scant. In spite of its popularity among industry professionals and practitioners, there is lack of clarity in term of understanding and applications of big data in supply chains. There is an urgent need for contributions in the field of supply chain management in which big data has been used extensively to explain the complex supply theories in supply chains which are still underdeveloped.

The aim of this special issue is to attract manuscripts which are firmly grounded in supply chain theories, using big data and predictive analytics to take current supply chain theory and practice to the next level of excellence in terms of supporting suitable supply design and operations in the context of 21st century organisational competitiveness.

References:
Dubey, R., Gunasekaran, A., Childe, S. J., Wamba, S. F., & Papadopoulos, T. (2015). The impact of big data on world-class sustainable manufacturing. The International Journal of Advanced Manufacturing Technology, 1-15.
Dubey, R., & Gunasekaran, A. (2015). Education and Training for Successful Career in Big Data and Business Analytics. Industrial and Commercial Training, 47(4),174-181.
Hazen, B. T., Boone, C. A., Ezell, J. D., & Jones-Farmer, L. A. (2014). Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications. International Journal of Production Economics, 154, 72-80.
Waller, M. A., & Fawcett, S. E. (2013). Data science, predictive analytics, and big data: a revolution that will transform supply chain design and management. Journal of Business Logistics, 34(2), 77-84.
Wamba, S. F., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. (2015). How ‘big data’can make big impact: Findings from a systematic review and a longitudinal case study. International Journal of Production Economics.(DOI:10.1016/j.ijpe.2014.12.031).

Suitable topics include, but are not limited to, the following:

• Supply chain network design
• Re-defining existing supply chain theories
• Applications of big data in disaster relief supply chain network design
• Suppliers selection
• Improving coordination in supply chain networks
• Applications in natural resource-constrained supply chain networks
• The design of ethical supply chains using big data
• Explaining complex theories surrounding performance measurement systems (PMS)
• Improving forecasting models using big data and business analytics
• Explaining crucial properties of supply chain networks
• Dynamic supply chain alignment
• Supply chain resilience in supply chain network design
• Addressing supply chain skill gap issues using big data
• Explaining assimilation of big data

Important Dates
Full manuscript submission: 30 June, 2016

Special issue published: "Electromobility: Challenging Issues"

International Journal of Electric and Hybrid Vehicles 7(3) 2015

• Optimal bidding of plug-in electric vehicle aggregator in day-ahead and regulation markets
• Participation of an electric vehicle fleet to primary frequency control in France
• The role of electric vehicles in demand response: implementation, network impacts and market requirements
• Comparing vibration measurements in an electric vehicle with standard vibration requirements for Li-ion batteries using power spectral density analysis
• Impact of road- and vehicle-related parameters on the energy efficiency of hybrid city buses

Inderscience is media partner for 4th China International Diesel Engine Summit 2015

Inderscience is a media partner for 4th China International Diesel Engine Summit 2015 (22- 23 October 2015, Beijing China).

The journal involved is the International Journal of Heavy Vehicle Systems.

Call for papers: "Economic Complexity and Complexity of Economics"

For a special issue of the International Journal of Computational Economics and Econometrics.

Modern economies are complex systems, which require sophisticated techniques to be studied, understood and regulated. This special issue aims to raise a rigorous scientific debate on the many interconnections between economic complexity and the tools offered by modern complexity science.

We encourage submissions from all fields of complexity science, using network, computational and econometric and statistical approaches. Papers with relevant policy implications are particularly welcome.

Suitable topics include, but are not limited to, the following:

• Complexity theory and organisations
• Out-of-equilibrium dynamics
• Network analysis and Bayesian networks
• Simulation and agent-based modelling
• Robustness and sensitivity analysis
• Risk analysis
• Econophysics
• Nonlinear and chaotic economic systems
• Game-theory models
• Structural econometric and causal models of complex systems
• Time series analysis and forecasting techniques
• Complexity and big data
• Policy analysis in complex socio-economic systems
• Computational modelling in economics and sociology
• Software development and implementation
• Models of complex networks
• Structural network properties and analysis
• Complex networks and epidemics
• Methodological problems in complex network studies
• Multilayer networks
• Complex networks in nature

Important Dates

Submission of manuscripts: 15 January, 2016
Notification to authors: February 10, 2016
Final versions due: 15 May, 2016

Pester power and family purchases

In today’s commercial world, companies must not merely satisfy customer demands, they must delight prospective buyers with the products and services they offer. Researchers writing in the International Journal of Business Innovation and Research have focused on the role children play within family purchasing decisions and specifically “pester power”.

Monica Chaudhary of the Department of Humanities and Social Sciences, at Jaypee Institute of Information Technology, in Noida, Uttar Pradesh, India, is an expert in marketing and consumer behavior with ten years of corporate and academic experience. “Consumer behavior is getting increasingly complex,” she says. “and young children are becoming more and more exposed to online marketing communication, responsible marketers need to be very careful in targeting young children.”

She has now developed a research framework to allow social scientists to carry out a structural analysis of the family buying process and to understand children and teens influence family purchases of various products. Her framework incorporates the child’s consumer socialization – via friends, television and the internet, the use of “pester power” and a three-stage family buying process. Her tests focus on three categories of products: loud goods, expensive products such as vacations, computers, mobile phones, cars, televisions and even washing machines. The second category is noisy goods, such as mundane things like stationary, books, food and beverages, clothes, and more exciting things like movie tickets, dining out and video games. The third category, quiet goods, encompasses frequently bought items such as shampoo, toothpaste and grocery items in which children may have the least interest.

She reveals how this framework can allow for responsible marketing but forewarns of health and safety issues that can arise should marketing to youth be irresponsible.


Chaudhary, M. (2015) ‘Structural equation modelling of child’s role in family buying’, Int. J. Business Innovation and Research, Vol. 9, No. 5, pp.568–582

Original article: Pester power and family purchases.
via Science Spot » Inderscience http://ift.tt/1XL4wjV

Scents sell

Catch a whiff of an enchanting perfume, the sweet smell of freshly cut grass, newly baked bread, even the odour of two-stroke engine fumes, and many of us are whisked off to distant places in our memories. Smells trigger immediate emotional responses and marketing departments the world over have exploited this everywhere from supermarkets to car showrooms to help us part with our hard-earned cash.

Now, writing in the International Journal of Trade and Global Markets, Shuvam Chatterjee of the Regent Education & Research Foundation, in Dhakuria, India, discusses the concept of “olfactory branding” and how in some settings, such as the hotel lobby, it can supplant or augment the more traditional audiovisual marketing signals. Chatterjee explains how the Indian tourism and hospitality industry has emerged as one of the key industries driving the growth of the service sector. Moreover, while international tourism has increased, there is a huge, and growing domestic market, with some 30 million internal travellers each year. Obviously, hotels play an important role in this industry.

Earlier researchers have claimed that people remember 35% of what they smell, compared with only 5% of what they see, 2% of what they hear and 1% of what they touch. So, “scent makes a brand identity more unique, strengthens customer loyalty and adds to the perception of quality, an element that is essential to every brand in today’s competitive market,” Chatterjee writes. Intriguingly, the top ten “happy” smells are as follows: freshly baked bread, clean bedsheets, freshly mown grass, fresh flowers, freshly ground coffee, fresh air after rainfall, vanilla, chocolate, fish and chips, and bacon frying, according to earlier surveys.

Now, Chatterjee has surveyed guests at the ITC Sonar Luxury Hotels in Kolkata (formerly Calcutta), India, and found that more than 41% of guests agreed that scent is a key factor in the enjoyment of their hotel stay. Indeed, it is a more important factor than the hotel’s “infrastructure”, its food, and the behaviour of staff. Chatterjee suggests that olfactory branding is therefore a critical part of marketing and could set any one hotel ahead of its rivals…


Chatterjee, S. (2015) ‘Olfactory branding: a new trend for defining brands through smell – a case of ITC Sonar Hotel in Kolkata, India’, Int. J. Trade and Global Markets, Vol. 8, No. 3, pp.196–206.
Original article: Scents sell.

via Science Spot » Inderscience http://ift.tt/1Oyvq8c

Special Issue published: "Knowledge Management at the Crossroad: Research, Challenges and Perspectives"

International Journal of Knowledge and Learning 10(2) 2015

Extended versions of papers presented at the International Forum on Knowledge Asset Dynamics 2014.

• Sustainable organisations and knowledge process outsourcing: conditions for success
• Harnessing the power of knowledge management for innovation
• Intellectual capital, knowledge management, knowledge economies and innovation: the case of small asset management firms in Ireland
• Strategic intellectual capital management as a driver of organisational innovation
• The interplay of knowledge engineering and cognitive psychology: learning ontologies creating
• An adaptive environment based on Moodle with treating of quality of context

Special issue published: "Multi-Dimensional Impacts of Marketing and Operational Strategies on Business Performance"

International Journal of Trade and Global Markets 8(3) 2015

Extended versions of papers presented at the SIBR-Thammasat 2014 Conference on Interdisciplinary Business and Economic Research.

• A study on awareness of Islamic banking in India
• Olfactory branding: a new trend for defining brands through smell - a case of ITC Sonar Hotel in Kolkata, India
• The implementation of quality management practices in Indonesian SMEs
• New factor of environment franchise and its influence on business performance of franchise outlets in food and beverage industry: case of Vietnam
• How green firms appeal users with pop-ups and inline ads as an effective tool to distort their attitude
• The relationships among agility empowerers from the viewpoint of gaining competitive advantage
• An empirical analysis of materials' cost effect in the Malaysian housing market industry using deterministic method: case of Klang Valley

Call for papers: "Wine Business and Economics"

For a special issue of the International Journal of Economics and Business Research.

The objective of this special issue is to explore academic research areas related to the economic and business aspects of the wine industry, including viticulture and oenology.

The special issue will cover a wide array of topics including, but not limited to, production, winery activities, marketing, consumption and tourism, as well as macroeconomic, legal, tasting and trade topics.

Suitable topics include, but are not limited to, the following, in relation to wine:

• Economics
• International trade
• Business history
• Economic history
• Marketing
• Tourism
• Regional studies
• Legal issues
• Operations
• Consumer behaviour

Important Dates

Submission of manuscripts: 2 September, 2016