Mobile computing is a key enabling technology for large scale distributed applications, such as smart phone, mobile internet, mobile game and mobile multimedia, mobile Internet of Things (IoTs), mobile sensor cloud, and mobile machine to machine communications. However, mobile computing is a very large energy consumer. Green mobile computing, with the aim of reducing energy costs and CO2 emissions, as well as protecting the environment, is becoming a potential research focus for many next-generation communications’ and networks’ designers. In spite of the increasing demand for all kinds of mobile computing services, there is still a lack of a clear understanding of analytical and power-efficient mobile computing and techniques, as well as best practices, to design energy-efficient, utility, pervasive, scalable, autonomy-oriented mobile computing and applications.
The objective of this special issue is to bring together state-of-the-art research contributions that address these key aspects of green mobile computing and applications.
Suitable topics include, but are not limited to:
Energy-efficient mobile network architecture design
Energy-efficient protocol design
Energy-efficient handover in heterogeneous networks
Power-efficient mobile terminal equipment
Optimisation for green wireless networking
Power-efficient RFID, sensor communications
Energy-efficient mobile applications
Measurement, metrics, and profiling of energy consumption in mobile computing
Platforms, tools, and design methods
Green cloud computing
Submission of manuscripts: 30 November, 2016
Notification to authors: 30 December, 2016
Final versions due: 30 January, 2017
Notification of final review results: 15 February, 2017
Scientists in Brazil are using a genetic algorithm to create a realistic soundscape of birdsong that can be triggered by updates from the micro-blogging service, Twitter, which celebrates its tenth anniversary this year. Details of the computer model which mimics the behavior of a bird’s songbox, its “syrinx” to create realistic sounds are published this month in the International Journal of Arts and Technology.
José Fornari of the Interdisciplinary Nucleus for Sound Communication (NICS), at the University of Campinas (UNICAMP), in São Paulo, explains how birdsong is an integral part of many landscapes, in the urban environment and countryside. He has developed an evolutionary, or genetic, algorithm that synthesizes authentic sounding birdsong in the computer. The system could be used to manipulate the acoustic space of a shopping mall to create a realistic soundscape fed by actual twitter updates so would not have the looped repetitiveness of a recording of actual birdsong that would be played interminably on a loop. “This evolutionary algorithm creates an artificial soundscape (of birdsongs) that is always acoustically original, Fornari says. He adds that the birdsong is like an individual in a population that will never be repeated again.
Such soundscapes, of course, might also be said to represent a unique, crowd-generated audio-artwork. Given the nature of Twitter activity, which inevitably follows the highs and lows of daily life and the trends of news and popular culture, the soundscapes generated might offer a fascinating acoustic reflection of our world and at times a chaotic cacophony. One could also imagine linking the system to a single user’s account and giving them a personal experience in birdsong of the tweets from their friends and contacts.
Firms in a crisis are struggling for survival and need to implement appropriate turnaround activities for a successful recovery from distress. Potential measures for this could be a managerial restructuring (Sudarsanam and Lai, 2001), an increase in efficiency and productivity (Dawley et al. 2003; Chenchehene and Mensah, 2014), a reduction of costs (Hambrick and Schecter, 1983; Whitaker, 1999) or a restructuring of assets (Sudarsanam and Lai, 2001). However, the contribution of innovation for prevention of corporate crises respectively as a potential factor for turnaround success was not extensively analysed in prior research. Its relevance seems to be a given, because innovation is a necessary characteristic of companies to be healthy and to maintain competitive advantage (Delbecq and Mills, 1985, p. 24). Innovation is the core driver for growth, performance and valuation (Barsh et al., 2008, p. 37). The ability to innovate is of central importance for long-term success of an organization (Metz et al., 2007, p. 19).
Pushed by global competition and short-term performance pressures, particularly in a crisis situation, managers often give in to personnel reductions or relocation to lower-cost regions. In that, they sacrifice true innovation, strong organic growth and clear competitive advantage (Porter and Kramer, 2011, p. 66). On the other hand, managers start to realize that social problems not only constrain their operations, but they also provide rich possibilities for growth or turnaround. When a company’s mission includes the aspect to create shared value for itself and society, it channels resources to the enhancement of innovations that contribute to the solution of social problems (Pfitzer et al., 2013, pp. 101–102). In general, successful companies want to innovate in terms of building a more sustainable business model for the company (Paine, 2014, pp. 92–94). In that, (business model) innovation seems to be an indicator for sustainable company growth and an automatic prevention from drifting into strategic crisis.
Thus, despite the knowledge about the importance of innovation for business success, there is relatively less known about its relevance for corporate turnaround and recovery. Madrid-Guijarro et al. (2011) found that product, process and managerial innovation of financially distressed firms were more strongly pronounced for healthy firms, but this difference was statistically not significant. The same authors published another study in 2013, were they concluded that innovation is positively associated with the performance of the firm. The endeavours for innovation decrease with the increase in distress (Madrid-Guijarro et al., 2013). Ernst (2010) argued that investments in R&D expenses usually are cut in a crisis situation. He showed how the increase in R&D expenses during a crisis situation can help to ensure future growth and long-term success. The negative relation between innovation efforts and degree of corporate health may be attributable to a lack of funds (Murro, 2013).
The link between innovation and the probability of default (PD) was analysed by Pederzoli et al. (2013). They concluded that the PD decreased by the value of a patent portfolio held by a company, but only then, when an appropriate portion of equity is available. Fatazzini and Figini (2009) introduced the variables “industrial rights ratio”, which indicates the degree of innovation in relation to the size of the firm. Its ability for the prediction of credit risk was tested within their study. The variable was a statistically significant predictor, but of lower importance in explanation of credit risk compared to other variables derived from financial statement analysis. It was found that the PD increases if the degree of innovation is increased relative to the size of the firm, which is a similar finding to the result of Schmitt and Raisch (2013, p. 1231). In the study of Murro (2013, p. 320) besides the size, other factors like international presence, the level of efficiency or the level of technology of the industry were named to be drivers for innovation. Innovation in a corporate crisis could be a potential measure for turnaround and recovery, but there are certain pre-conditions which have to be fulfilled for this.
What is also confirmed by the paper of McKinley et al. (2014) is that these short reflections emphasize the lack in research. They conclude that the conditions of innovation and its potential effect on a successful or unsuccessful turnaround are neither described nor understood. The introduction of innovation as a restructuring tool can also be seen as risky under their view, because the final outcome of innovation is sometimes not predictable and it depends on the type of innovation, whether it can contribute positively or negatively to turnaround success. Even if innovation could be seen as a relevant factor to accelerate the turnaround process, the speed is no guarantee for the success of the induced measures (Gupta, 2006, p 58). It will also depend whether innovation is used in context of retrenchment or recovery, when turnaround activities are started. Retrenchment is applied to increase.
Based on the preliminary findings it seems that certain types of innovation are rather helpful for retrenchment, whereas other types of innovation are more closely related to recovery. For example, process innovation is a relevant factor for retrenchment, because activities in this field are supporting the improval of operational efficiency (Robbins and Pearce, 1992). If it is true that a successful turnaround can be associated with effective retrenchment (Lohrke et al. 2012; Pearce and Robbins, 2008), then despite the inherent risk, innovation should be an important driver for this success.
To sum up, looking into the literature about the connection between crisis and innovation, a lot of questions are left open in the guest editors’ point of view. Although intuitively the link seems very logical, the topic is rarely touched so far and particularly empirical research is very scarce. The two research streams go into very different directions, but in fact pursue a common goal: the long-lasting, sustainable, competitive advantage and survival of business organizations. Therefore, it is surprising that until now, we cannot answer how innovation can be used to create successful turnaround situations – in fact, we just do not know how to integrate the topic into turnaround management, what type and level of innovation to work on in such a peculiar situation and how to enhance it in a rather unfavourable setting where sometimes liquidity pressures seem to determine all decisions. Due to the actual lack of knowledge about the contribution of innovation for turnaround success, retrenchment and recovery, the aim of this special issue is to analyse the inherent capabilities of innovation for resolution of corporate crises, to provide a contribution for the existing research gap and to develop practical implications for turnaround managers and how they could apply innovation within a turnaround process. Moreover, this could even open up a new field of specialisation for innovation managers, which might lead into a new discipline of management and education.
Suitable topics include, but are not limited to, the following:
The contribution of innovation for corporate turnaround success
The relevance of innovation to prevent corporate crises
The distinction between types of innovation for short- and long-term success of corporate turnaround
The relation between innovation and funding sources in financial distress
The association of different types of innovation to retrenchment and recovery
The relation between degree of innovation and the probability of firm default
The search for explanatory variables and factors supporting the positive effects of innovation on turnaround success
The application of different types of innovation as toolkit for turnaround managers
The different types and levels of innovation appropriate for different levels of corporate crisis
The barriers to innovation in turnaround situations
The aspects of business model innovations as determinant for turnaround success
Paper proposal submission (by email) deadline: 30 September, 2016
Notification of proposal acceptance: 31 December, 2016
Full papers submission (online) deadline: 15 March, 2017
Barsh, J., Capozzi, M. M. and Davidson, J. (2008) 'Leadership and innovation', The McKinsey Quarterly, No. 1, pp. 37 – 47.
Chenchehene, J. and Mensah, K. (2014) 'Corporate survival: Analysis of financial distress and corporate turnaround of the UK retail industry', International Journal of Liberal Arts and Social Science, Vol. 2, No. 9, pp. pp. 18 – 34.
Dawley, D. D. , Hoffman, J. J. and Brockman, E. N. (2003) 'Do size and diversification type matter? An examination of post-bankruptcy outcomes', Journal of Managerial Issues, Vol. 15, No. 4, pp. 413 – 439.
Delbecq, A. L. and Mills, P. K. (1985) 'Managerial practices that enhance innovation', Organizational Dynamics, Vol. 14, No. 1, pp. 24 – 34.
Ernst, H. (2010) 'Management von Innovationen in der Krise', Controlling & Management Review, Vol. 1, pp. 22 – 23.
Fantazzini, D. and Figini, S. (2009) 'Random survival forests model for SME credit risk measurement', Methodology and Computing in Applied Probability, Vol. 11, No. 1, pp. 29 – 45.
Gupta, P. (2006) 'Institutionalizing innovation for growth and profitability', Journal of Private Equity, Vol. 9, No. 2, pp. 57 – 62.
Hambrick, D. C. and Schecter, S. M. (1983) 'Turnaround strategies for mature industrial-product business units', Academy of Management Journal, Vol. 26, No. 2, pp. 231 - 248.
Lohrke, F., Ahlstrom, D. and Bruton, G. (2012) 'Extending turnaround process research: Important lessons for the US civil war', Journal of Management Inquiry, Vol. 21, No. 2, pp. 217 – 234.
Madrid-Guijarro, A., Garcia-Perez-de-Lema, D. and Van Auken, H. (2013) 'An investigation of Spanish SME innovation during different economic conditions', Journal of Small Business Management, Vol. 51, No. 4, pp. 578 – 601.
Madrid-Guijarro, A., Garcia-Pèrez-de-Lema, D. and Van Auken, H. (2011) 'An analysis of non-financial factors associated with financial distress', Entrepreneurship & Regional Development, Vol. 23, No. 3 – 4, pp. 159 – 186.
McKinley, W., Latham, S. and Braun, M. (2014) 'Organizational decline and innovation: Tunarounds and downward spirals', Academy of Management Review, Vol. 39, No. 1, pp. 88 – 110.
Metz , I. , Terziovksi, M. and Samson, D. (2007) 'Development of an integrated innovation capability model', in Terziovski, M. (Eds.), Building innovation capability in organizations: An international cross-case perspective, Imperial College Press, London , pp.19–50.
Murro, P. (2013) 'The determinants of innovation: What is the role of risk? ', The Manchester School , Vol. 81, No. 3, pp. 293 – 323.
Paine, L. S. (2014) 'Sustainability in the Boardroom', Harvard Business Review, July - August, pp. 86–94.
Pearce, J. and Robbins, K. (2008) 'Strategic transformation as the essential last step in the process of business turnaround', Business Horizons, Vol. 51, No. 2, pp. 121 – 130. Pederzoli, C. Thoma, G. and Torricelli, C. (2013) 'Modelling credit risk for innovative SMEs: The role of innovation measures', Journal of Financial Services Research, Vol. 44, No. 1, pp. 111 – 129.
Pfitzer, M., Bockstette, V., and Stamp, M. (2013) 'Innovating for Shared Value', Harvard Business Review, September, pp. 101–107.
Porter, M. E., and Kramer, M. R. (2011) 'Creating shared value', Harvard Business Review, January - February, pp. 62–77.
Robbins, K. and Pearce, J. (1992) 'Turnaround: Retrenchment and recovery', Strategic Management Journal, Vol. 13, No. 4, pp. 287 – 309.
Schmitt, A. and Raisch. S. (2013) 'Corporate turnaround: The duality of retrenchment and recovery', Journal of Management Studies, Vol. 50, No. 7, pp. 1216 – 1244.
Sudarsanam, S. and Lai, J. (2001) 'Corporate financial distress and turnaround strategies: An empirical analysis', British Journal of Management, Vol. 12, No. 3, pp. 183 – 199.
Whitaker, R. B. (1999) 'The early stages of financial distress', Journal of Economics and Finance, Vol. 23, No. 2, pp. 123 – 133.
Two scenarios for overcoming drug resistance by co-targeting
TDAC: co-expressed gene pattern finding using attribute clustering
Identifying protein complexes based on the integration of PPI network and gene expression data
RadixHap: a radix tree-based heuristic for solving the single individual haplotyping problem
To study percentage distribution of target genes encoding proteins of different classes in Helicobacter pylori strain J99 and identification of potential therapeutic targets to reduce its proliferation
The blueprint of the One Belt One Road (OBOR) initiative is to connect the vibrant East Asian economic circle and the developed European economic circle and encompass all of the countries that have significant potential for economic development. One of the key objectives of the OBOR initiative is to increase connectivity and economic development along both the land-based and oceangoing routes through the movement of goods, services, information, and people.
This special issue will provide a forum to address the various issues associated with the OBOR initiative from the perspective of logistics and maritime studies. It will also serve as a platform to facilitate international research and industrial collaboration to examine the multifaceted issues related to the OBOR.
The issue will carry revised and substantially extended versions of selected papers presented at the One Call One Road (OBOR2016) , but we also strongly encourage authors unable to participate in the conference to submit articles for this call.
Suitable topics include, but are not limited to, the following:
Maritime economics and business
Safety and security
Supply chain management
Submission of manuscripts: 31 August 2016
Notification to authors: 30 November 2016
Earthquake and impact engineering are essential disciplines affecting the lives and properties of citizens in many parts of the world. They aim to understand the impact of seismic loading on buildings and other structures and infrastructures, avoiding future disasters. The International Journal of Earthquake and Impact Engineering is a peer-reviewed research journal offering an international forum fostering discussion on all aspects of the topic. It highlights the areas of earthquake hazard mitigation, preparedness and recovery germane to practicing engineers and reflecting state-of-the-art research.
Emerging network and communication technologies have changed the way in which these are being integrated into social, industrial, and business frameworks. This has made it evident that there are a number of related technical and socioeconomic areas that need further investigation. Recently, a number of emerging technologies such as cloud computing, Internet of Things (IoTs), smart grid computing, green computing, and fog computing etc. have been proposed in communication and networking. The research on emerging communication and networking technologies is thus considered to be a global research challenge.
This special issue focuses on advanced topics in communications and networking. The main aim of this special issue is to cover both the theory of communication and network technologies and their applications in several diversified fields. It aims to provide an intellectual forum for researchers in academia, engineers and practitioners from a wide range of application areas to enable them to present their latest research findings in the areas of communication, networking and other related areas and to identify future challenges in these areas.
The International Journal of Digital Signals and Smart Systems provides a unifying framework for a wide range of engineering disciplines and industrial applications, highlighting experimental applications and industrial studies. It encompasses practical aspects of the theory and methods of electrical engineering, and the synergetic integration of systems engineering with electronic, intelligent computer control and signal analysis in the design and manufacture of industrial products and processes. It thus brings together several specialities and research areas to realise significant industrial applications.
Critical infrastructure is a relatively new term used to characterise installations and organisations of high importance to the political and socio-economic status of modern societies. Unfortunate events of the last two decades, including the increase of fundamentalism, have led to the adoption of policies at national (Homeland Security) and European levels (Directive 2008/114/EC on the identification and designation of European critical infrastructures).
This special issue aims to examine the impact climate change has had and will have on these infrastructures. We welcome high-quality submissions focusing on new risk assessments, theoretical and applied models, risk management strategies and communication of risks at local, national and international levels.
Suitable topics include, but are not limited to, the following:
Extreme dryness and forest fire effects on electricity and transport networks
Storms and sea
Coastal flooding (surface water, highway, sewer and watercourse flooding)
In practice, the implementation of control input is usually faced with the problem of nonlinearity in control input due to non-ideal characteristics of actuators used in physical implementations. Adaptive control theory for nonlinear systems has attracted much attention during the past two decades. Recently, adaptive control based on universal approximations such as fuzzy logic systems, RBF neural networks or fuzzy-neural networks have been considered extensively in the control problems of complex and ill-defined nonlinear systems in the presence of incomplete knowledge of the plant. Observer-based robust adaptive universal approximation control schemes are very useful for tackling the problem of robust stability and the tracking control for a class of uncertain nonlinear SISO systems and MIMO systems with or without time delays. Also, adaptive universal approximation control schemes have impact for a class of nonlinear systems with dead-zone and multiple time-delays based on dynamic surface control technique.
The overall aim of this special issue is to compile the latest research and developments and up-to-date issues and challenges in the field of observer-based universal approximation adaptive control schemes. Proposed submissions should be original and should present novel in-depth fundamental research contributions either from a methodological perspective or from an application point of view.
Today we are becoming more and more dependent on information technology and services as they pervade every aspect of our lives. However, cyber security, analytics and human factors in information technology play an important role in the development of superlative organisations where new technologies and applications are put into practice to strengthen everyday business processes. A reliable information technology system requires a solid security framework that ensures confidentiality, integrity, availability and authenticity of the organisation’s critical assets.
This special issue will focus on state-of-the-art research paradigms and recent advances in cyber security, analytics and human factors in IT and related areas. The issue is open to high-quality research contributions from a wide range of professionals including scholars, researchers, academicians and industry. Original research papers and state-of-the-art reviews are welcome. We anticipate that the special issue will open new avenues for further research and technology improvements in this important area.
Suitable topics include, but are not limited to, the following:
Security and privacy in social networks and applications
Security and privacy in smartphone devices
Security and privacy in mobile cloud computing
Security of mobile commerce and mobile internet of things
Security of 3G/4G systems, Wi-MAX, ad-hoc, petrinets
Web service security
Role of R in data analysis
IT security, ethical and societal challenges
Security and privacy in cloud computing
Security of mobile, peer-to-peer and pervasive services in clouds
The aim of the web analytic approach is to extract knowledge from large amounts of web data, including web documents, hyperlinks between documents, usage logs of websites, etc. Web analytics is the measurement, collection, analysis and reporting of web data for purposes of understanding and optimising web usage.
The main focus of this special issues will be on recent trends and applications of search engines and the development of analytic methodologies (machine learning/data mining) for large amounts of web documents. Moreover, web-based methodologies are required to manage the large amounts of information available in websites based on big data approaches and technology.
The purpose of this special issue is to address the current state of art in web-based environmental data processing tools in the big data er, along with technological advancements and standards that are relevant technologies for web-based environmental modelling of web-based communities.
Web analytic and web intelligence techniques are very much required to exploit data arising from social media and web logs. Traditional search engines have been limited in handling or processing large amounts of data. These issues and challenges have been addressed with the help of big data technologies for web-based communities. In addition, high-performance analytics depend on web-based methodologies and good web user interfaces to co-invent the future of big data analytics delivered as a service. Consequently, offering a next-generation big data portal with state-of-the-art efficiency and scalability is the prime objective of web search engines.
The data accumulated in the web is very extensive. Most of the data is in the form of text and its unstructured data. In this situation, big data technologies are very useful for handling large amounts of web data. Furthermore, No-SQL databases are one of the big data technologies that support the handling of unstructured data.
The attention paid to web-based methodologies related to research, software industry and web-centric organisations has led to the accumulation of significant knowledge. In this special issue we expect researchers to identify directions for future research in web search analysing big web data.
Suitable topics include but are not limited to:
Scalable and effiecient architectures for big data search
Search and mining of varieties of data
Visualisation tools for web big data
Web programming models for big data
Web content/structure/usage models
Cloud and grid computing to support big data
Analysis of web unstructured/semi-structured data
Scalability of web mining algorithms
Web services for big data portals
Standard architecture/frameworks for web analytics
NoSql for web logs
Web privacy methodologies for big data
Web user interfaces and solutions for web big data
Web-based mobile technologies and applications for big data
Web-based tools for big data analytics
Distributed and peer-to-peer search
Computational modelling and data integration
Graph mining, semantic-based data mining for web analytics
Submission deadline: 1 October, 2016
Review notifications: 15 December, 2016
Submission of revised papers: 1 February, 2017
Notification of final review results: 1 April, 2017
Researchers in Europe have reviewed cancer rates among people in parts of the world where natural background radiation is higher than average and found that incidence is not as high as one might guess. The findings, published in the International Journal of Low Radiation suggests that science ought to take a second look at studies that correlate low levels of radiation exposure with detrimental health effects.
Ludwik Dobrzyński of the National Centre for Nuclear Research (NCBJ) in Otwock-Świerk, Poland and colleagues in Poland and Germany, explain that natural background ionizing radiation is ubiquitous. We are all constantly exposed to radioactivity literally from the rocks beneath our feet, the air we breathe and the cosmic rays that have many different sources in space and bathe our planet. Moreover, life on earth evolved in this background radiation and has many mechanisms to repair the damage caused by exposure and protect us from its otherwise harmful effects.
While exposure to high levels of radiation is well documented as causing health problems from lethal radiation sickness to cancer, the low levels of background radiation to which we are constantly exposed have never been shown unequivocally to cause any illness, cancer other otherwise, despite tabloid scaremongering. Indeed, there are numerous studies from around the world that suggest that background radiation has to some degree a protective effect against the other causes of cancer. The team’s review of these and other studies in contrast to the received wisdom suggests that cancer rates are commonly lower in regions where exposure to slightly higher doses of background radiation than to those areas with average low dose natural exposure.
“The level of natural background radiation on Earth varies considerably by even two orders of magnitude from place to place with the world average annual effective dose being about 2.5 milliSieverts,” the team explains. In Ramsar, Iran, it is several hundred milliSieverts per year. The team’s review of the available research using Bayesian statistics to analyze the data suggests that, “Risks of cancer mortality from low-doses and low dose-rates, appear not to exist or to be much lower than the effects normally assumed, when assessed alone by epidemiological methods.”
The strong interest in networks is easily explained: nearly all kind of socio-economic systems can be represented adequately by a well-defined set of nodes and ties among these nodes. The broad spectrum of network types ranges from inter-bank networks, corporate ownership networks and supply chains to friendship networks and advice networks and to inter-personal inventor networks and inter-organisational innovation networks. The developments in network research have been fueled by the recognition of complex systems as a subject of scientific inquiry, rapid progress in theory building and methodological advances in areas such as quantitative network analysis, networks, games, agent-based modelling and econometrics.
However, when it comes to an in-depth understanding of how and why networks evolve over time and how these "dynamics of networks" affect the actors involved, we still face more questions than answers. For instance, we know little about how micro-level events among cooperating actors affect the emergence of typical real-world patterns at higher aggregation levels like, for instance, small-world structures, scaling properties and core-periphery patterns. Both theoretical models and the typically applied methodological instruments are still unable to explain the phenomenon comprehensively.
The same holds true when it comes to "dynamics on networks". The spread of information and the transfer of knowledge among network actors are highly important, particularly in the context of inventor and innovation networks. The identification of shortest paths and the analysis of diffusion problems is anything but new. Mathematicians and game theorists have addressed these issues. However, games on networks are by orders of magnitude more complex than simple integrated two-player games. This is why numerical and stochastic simulation techniques became the methodological instruments of choice.
Many papers in IJCEE and other publications have laid important groundwork for an in-depth understanding of networks, not only in theoretical and methodological terms but also by providing a rich set of empirical results. Now the time has come to discuss new findings on the dynamic nature of networks in economics and dedicate a special issue of IJCEE to the topic: "dynamics of and on networks".
For this special issue we welcome theoretical and empirical contributions addressing questions such as: How do innovation networks form and evolve? Which mechanisms are responsible for their characteristics? How do inter-firm networks affect the stability of economic systems? What are the consequences of cascading failures for the structural stability of the system? Which processes can be used to model these dynamics? How do networks shape technological and economic dynamics? Or, perhaps more importantly, how do technological and economic dynamics shape the networks? How can we model and analyse network diffusion processes? How do knowledge transfer and diffusion processes affect the performance of the actors involved?
While the focus on “dynamics of and on networks” constitutes the core of this issue, related theoretical contributions as well as econometric, explorative and experimental analyses complementing the theme are welcome. Priority will be given to papers applying an interdisciplinary theoretical perspective and/or a novel methodological approach.
The issue will carry revised and substantially extended versions of selected papers presented at the 27th Annual EAEPE Conference and 1st EAEPE RA[X] Workshop on “New Frontiers and Methodological Advances in Cooperation and Network Research”, but we also strongly encourage researchers unable to participate in the conference to submit articles for this call.
Suitable topics include but are not limited to:
Applications of network theory to economics, including theoretical and exploratory studies of their role in economic systems
Network formation, structural change and dynamic networks
Structural stability of networks and other complex systems
Dynamic processes on networks (e.g. diffusion and knowledge transfer)
Structuration processes in social and economic systems
Theoretical, econometric, explorative, game theoretical, experimental analyses as well as agent-based models and numerical or stochastic simulation approaches
Manuscript submission deadline: 30 September, 2016
Playing serious games as you get older
Research published in the International Journal of Networking and Virtual Organisations suggests that there are many opportunities for designers of console, or video, games to harness the healthcare of older people and improve wellbeing and keep minds active through old age. The team tested current games, particularly those that involve physical activity and interaction with the console through hand controllers, motion detectors and cameras, and found many to be rather lacking for this demographic. As such, they have highlighted particular issues and new design considerations that might be useful in the next generation of serious games for older players.
Pyae, A., Raitoharju, R., Luimula, M., Pitkäkangas, P. and Smed, J. (2016) ‘Serious games and active healthy ageing: a pilot usability testing of existing games’, Int. J. Networking and Virtual Organisations, Vol. 16, No. 1, pp.103–120. Hotel horror
Research from the USA into global terrorist activity reveals the cyclical nature of attacks on non-military and non-governmental targets, namely hotels and tourist destinations. Sofia Dermisi of the College of Built Environments, at the University of Washington, in Seattle, has investigated the patterns to reveal that there may be an eight-year attack cycle on hotels and a three-year cycle on casualties over many years. Her data are based on the period 1996-2014 during which there were 73 terrorist attacks on hotels causing more than 1000 fatalities and more than 3000 injuries. Specifically, attack frequency on such targets has increased by 75% since September 11, 2001 and many new “hot spots” have emerged recently. The impact of terrorist attacks on hotels has led to a decline in the hospitality trade in some regions, with a decline luxury revenues of 7% worldwide, although the decline is only 1.7% in the USA following an attack.
Dermisi, S. (2015) ‘Hotel terrorist attacks and their worldwide/USA performance implications’, Int. J. Built Environment and Asset Management, Vol. 1, No. 4, pp.307–328. Sticks and stones
Those in the “helping” professions must consider the terminology and language they use carefully when mental health is in discussion to avoid stigmatizing those patients with particular problems. “The use of language in rephrasing and reframing clinical observations of complex experiences can be understood within the framework of complexity theory,” explains Christopher Peyton Miller of the Union Institute and University in Cincinnati, Ohio, USA. The research suggests that more successful outcomes emerge through deliberation rather than a monolithic response. Miller adds that a measure approached can “create the atmosphere for the beginnings of a discussion about how we use language to describe the changes and adaptations possible in mental health and its leadership, in the face of complex situations.”
Miller, C.P. (2016) ‘Mental health leadership and complexity’, Int. J. Complexity in Leadership and Management, Vol. 3, Nos. 1/2, pp.154–161. Twitter might do more harm than good for diabetes
New research from Finland suggests that the popular microblogging platform, Twitter, provides useful community and information for people with diabetes. The researchers analyzed almost 10000 twitter updates, colloquially known as tweets, that contained the words “diabetes” and “diet” and demonstrated that they could fruitfully map public opinion and concerns surrounding this health condition. The research also showed that much of the information is being disseminated by concerned or interested lay people and that healthcare workers should be aware of this as a potential problem for their patients. They add that more research is now needed to trawl the twitterhood to see what kinds of problematic information and websites are being shared.
Eriksson-Backa, K., Holmberg, K. and Ek, S. (2016) ‘Communicating diabetes and diets on Twitter – a semantic content analysis’, Int. J. Networking and Virtual Organisations, Vol. 16, No. 1, pp.8–24.
Extended versions of papers presented at the 2014 Well-being in the Information Society Conference.
Communicating diabetes and diets on Twitter - a semantic content analysis
The influence process of electronic word-of-mouth on traveller's visit intention: a conceptual framework
The creation of inter-organisational IT governance for social welfare and healthcare IT - lessons from a case study
Information flow and situational awareness in emergency medical dispatch
FirstAED emergency dispatch, global positioning of community first responders with distinct roles - a solution to reduce the response times and ensuring an AED to early defibrillation in the rural area Langeland
Serious games and active healthy ageing: a pilot usability testing of existing games
Many advances have been made recently in the field of image processing and pattern analysis. Scientists, researchers, engineers and medical professionals wanting to mitigate the differences between technology and clinical disciplines in the multidisciplinary areas of machine vision, image processing and pattern analysis are invited to submit research articles in this special issue. The scope of the issue will cover recent trends in amalgamating computational intelligence in the domain of computer vision, image processing and pattern analysis.
The objective of this special issue is to focus upon the latest advances in theory, methodologies and applications in the highly interdisciplinary research and development area of machine vision, image processing, image and pattern analysis and related domains. The theme will address mathematical, physical, architectural and computational aspects of machine vision, analysis, matching and recognition along with the utilisation of advanced intelligence paradigms.
Suitable topics include, but are not limited to, the following:
Pattern recognition and analysis
3D and surface reconstruction
Shape and texture analysis
Image/video coding and compression
Image analysis and understanding (enhancement, edge detection and segmentation)
Fires caused by lightning strikes on hydrocarbon storage plants are a century-old, yet to be addressed, problem, according to research published in the International Journal of Forensic Engineering. In the era of hydraulic fracturing, or fracking, this is becoming an even more poignant issue for the fossil fuel industry.
Sterling Rooke of X8 Inc in Crofton, Maryland, and Miroslaw Skibniewski of the Department of Civil and Environmental Engineering, at the University of Maryland, USA, explain that uncontrolled fires and explosions at storage facilities can cost US $10 million per incidence. Moreover, given that some facilities are in areas of high-frequency lightning storms, the threat is significant. They point out that a third of all modern hydrocarbon tank accidents are associated with lightning. Ironically, the burning of fossil fuels that has led to anthropogenic climate change during this last century, might also increase the frequency of lightning storms.
Fracking, the team says, has revolutionized oil and gas production in the USA but the industry is a controversial one. The idea of uncertainty surrounding the safety of the chemicals used, potential contamination of drinking water supplies and the environment and the risk of triggering seismic activity through fracking are issues that remain high on the agenda. However, direct strike lightning accidents could be a critical factor in fracking safety in the long term.
The team has now overlaid the current US National Lightning Detection Network (NLDN) risk map and the Energy Information Administration (EIA) shale play map and found that the lightning threat will only increase with the migration of future shale activities. “Lightning is an increasing threat to a critical component of the world’s energy security,” the team suggests. They add that planning may change, but shale deposits and regional lightning threats do not change geographically. “This research quantifies the threat and outlines clear lightning mitigation strategies,” they explain.
Rooke, S.S. and Skibniewski, M.J. (2015) ‘Sensors for lightning mitigation at hydraulic fracturing storage facilities’, Int. J. Forensic Engineering, Vol. 2, No. 4, pp.293–311.
The number of articles currently available in the Inderscience Online Collection recently reached 75,000. The whole online, searchable collection is available for purchase. In addition, there are other options ranging from journal subject bundles and tailored packages of titles, to annual subscriptions to individual journals and purchase of individual journal issues and individual articles. Browse the options at http://www.inderscience.com/inorders.php for further details or, for librarians, please go to http://www.inderscience.com/librarians/index.php.
The internet has given almost everyone a very public voice and a chance to offer their opinion on almost every subject in a way that was not possible before. Research published in the International Journal of Knowledge and Web Intelligence demonstrates how consumer product reviews published on the internet could be analyzed through data mining techniques and allow designers to find ways to improve a given product or even add features that had not occurred to the manufacturer.
Ismail Art Yagci and Sanchoy Das of the Department of Mechanical and Industrial Engineering, at New Jersey Institute of Technology, in Newark, USA, explain how web reviews are a readily available source of product intelligence and suggest that such reviews might contain significant pointers regarding the pros and cons of a design or features that are redundant, unwanted or missing. In light of this, the team introduces a design-feature-opinion-cause relationship (DFOC) method that can extract design intelligence from unstructured web reviews.
Product development managers are constantly challenged to learn about the consumer’s experience with their product and to uncover the specifics of how well or how badly a product is performing in the hands of those consumers. Conventional market research, which might involve prototype testing, field tests and independent assessment are costly, time consuming and limited in the amount of data they can return. The advent of the internet and in particular the idea of interactive web 2.0 sites, online social media and networking and a boom in our all-round need to share our opinions has opened up an entirely new approach to such testing based around what one might called “crowd review”.
The researchers explain how their DFOC method first builds a sentence-based web review database and then mines that database to identify design features that are of interest to both designers and users. Next it extracts and estimates the significance and polarity of customer opinion and identifies the underlying factors that may have given rise to a particular opinion. The DFOC system used an association rule-based opinion mining procedure for capturing and extracting noun-adjective and noun-verb relationships.
Opinion mining is not entirely new, but the team has demonstrated a strong proof of principle with their DFOC method on car design on characteristics such as engine power, fuel economy, safety, comfort, exhaust, sound system, interior design etc. The DFOC approach identified 42 features of interest many of which are not commonly specified in car design and yet are of interest or concern to drivers. “This implies that a DFOC type analysis expands the design feature analysis set, and hence makes the intelligence is even more valuable,” the team says. They have also demonstrated how it can overcome several of the problems inherent to earlier techniques.
They point out that their DFOC method could enhance creative efficiency by identifying negative opinions in the early stages of the design process, and so help channel effort to areas where designers can have the greatest impact on consumer opinion of future products. The approach could also improve competitiveness by shortening the lead-time for the introduction of new products or services, lowering design costs, and improving quality and reliability of products and services.