73 research outputs found

    Knowledge management in cyberphysical systems: determining the quality requirements for health systems with the Kano model

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    This paper focuses on knowledge management in cyberphysical systems (CPS), dealing with the importance and influence of smart technologies for the creation of the smart health systems as a part of the smart home. This approach considers the reorganisation and adaptation of medicine and health systems, building the research framework upon knowledge management 4.0 for health systems. Customer satisfaction or dissatisfaction was researched using the qualitative methodology of the Kano model. The questionnaire deals with five factors that play a crucial role in the decision to purchase such a system: 1) software reliability; 2) medical device interoperability; 3) security and privacy; 4) system feedback; 5) architecture. The results show that attractive requirements, such as architecture and medical device interoperability, have high values for customer satisfaction and low scores for customer dissatisfaction

    Click and drive Consumer attitude to product development: Towards future transformations of the driving experience

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    Purpose – The purpose of this paper is to supply indications that may be useful in the process of development of new products that fully exploit the value potential of Internet of Things (IoT) technologies in the automotive industry. To this aim, the authors investigate how applications of the IoT to smart vehicles are perceived by consumers and describe different ways to increase their satisfaction. Design/methodology/approach – After a literature review focused on IoT and consumer behaviour in the automotive industry, the authors apply the Kano model to find the drivers for achieving customer satisfaction with new product developments in smartcars. Findings – Automotive companies need to consider what is attractive to drivers and what consumers consider to be “driver-friendly”. Using an empirical analysis, the authors highlight the motivations for developing a smartcar to fits the expectation of Italian drivers. Research limitations/implications – While the global framework given by this paper can be useful in all contexts, the empirical part is based on the Italian consumer. Further research may extend the application of the model to other countries to improve the generalizability of the results. Practical implications – This study supplies an analysis of qualitative data that may prove useful to researchers and managers in planning their strategic and operative activities with the aim of improving the development of IoT-related products in the automotive industry. Originality/value – This paper fulfils the need for an original research framework that sheds light on relevant insights and gives useful hints on the development of IoT technologies in the automotive sector. Paper type Research pape

    Complexity Theory for a New Managerial Paradigm: A Research Framework

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    In this work, we supply a theoretical framework of how organizations can embed complexity management and sustainable development into their policies and actions. The proposed framework may lead to a new management paradigm, attempting to link the main concepts of complexity theory, change management, knowledge management, sustainable development, and cybernetics. We highlight how the processes of organizational change have occurred as a result of the move to adapt to the changes in the various global and international business environments and how this transformation has led to the shift toward the present innovation economy. We also point how organizational change needs to deal with sustainability, so that the change may be consistent with present needs, without compromising the future

    A Holistic Approach to Comprehending the Complexity of the Post-growth Era: The Emerging Profile

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    The goal of this study is to investigate the problems caused by the rapid growth of the global economy, coupled with high population growth and the excessive exploitation of natural resources. The global economy will not be able to maintain its current speed of growth in the long term, so a paradigm shift in production and consumption is necessary, if the collapse of ecosystems and the concurrent depletion of natural resources are to be avoided. This is the reason why capitalism needs to take a turn towards a sustainable and naturally harmonized development model

    An Example of Performing a Text Analysis in a Qualitative Research

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    The article presents an example of a text analysis and interpretation based on a qualitative research. In the first part we focus on the theoretical definition of analytical tools and characteristics of the text analysis and interpretation within the frame of qualitative research. We continue with presenting an option of analysing and interpreting acquired data by using the analytical tool thematic network. The presented option is based on the results we obtained by half-structured interviews, personal notes and by observing the functioning of two networks.text interpretation, encoding, qualitative research, thematic network

    Role of a digital transformation in development of a rural tourism destinations

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The efficiency of cooperation between the participants in the supply chain in the tourism-related branch of industry in relation to client satisfaction. Sustainability, 11(17), 4716. 11. Lawton, P. (2018). Uneven development, suburban futures and the urban region: The case of an Irish ‘sustainable new town’. European Urban and Regional Studies, 25(2), 140-154. 12. Lugrin, J.-L et al. (2018). A Location-Based VR Museum. 2018 10th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games), pp. 1-2. 13. Mohanty, P., Hassan, A., Ekis, E. (2020). Augmented reality for relaunching tourism post-COVID-19: socially distant, virtually connected, Worldwide Hospitality and Tourism Themes 12(6), pp. 753-760. https://doi.org/10.1108/WHATT-07-2020-0073 14. Pencarelli, T. (2020). The digital revolution in the travel and tourism industry. Information Technology & Tourism, 22(3), 455-476. 15. Petrovic, N., Roblek, V., Papachasvili, N. (2021). Decision Support Based on Data Mining for Post COVID-19 Tourism Industry. Preprint. XV International SAUM Conference, pp. 1-4. 16. Petrović N., Roblek, V., Khokhobaia, M., Gagnidze, I. (2021). AR-Enabled Mobile Apps to Support Post COVID-19 Tourism. Unpublished. TELSIKS 2021, pp. 1-4. 17. Petrovic, N., Kocić Đ. (2021). Smart technologies for Covid-19 indoor monitoring. Preprint. 2021. https://doi.org/10.13140/RG.2.2.20422.80963 18. Petrović, N., Tošić, M., Nejković, V. (2021). AR-Enabled Mobile Apps for Robot Coordination. The 7th Conference with International Participation Knowledge Management and InformaticsAt: Vrnjačka Banja, Serbia, pp. 98-106. 19. Pikkemaat, B., Peters, M., & Chan, C. S. (2018). Needs, drivers and barriers of innovation: The case of an alpine community-model destination. Tourism Management Perspectives, 25, 53-63. 20. Pung, J. M., Gnoth, J., & Del Chiappa, G. (2020). Tourist transformation: Towards a conceptual model. Annals of Tourism Research, 81, 102885. 21. Radojević, B., Lazić, L., & Cimbaljević, M. (2020). Rescaling smart destinations: The growing importance of smart geospatial services during and after COVID-19 pandemic. Geographica Pannonica, 24(3), 221-228. 22. Roblek, V., & Anthopoulos, L. (2018, May). Complexity of the regions and municipalities smart urbanisation policy with the aim of promoting the regional development. In Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age (pp.1-2), Delft, Netherlands, Aula Conference Centre, Delft University of Technology. 23. Roblek, V., Bach, M. P., Meško, M., & Bertoncelj, A. (2013). The impact of social media to value added in knowledge‐based industries. Kybernetes, 24(4), 554-568. 24. Roblek, V., Meško, M., Pušavec, F., & Likar, B. (2021). The role and meaning of the digital transformation as a disruptive innovation on small and medium manufacturing enterprises. Frontiers in Psychology, 12, 2129. 25. Sánchez-Corcuera, R., Nuñez-Marcos, A., Sesma-Solance, J., Bilbao-Jayo, A., Mulero, R., Zulaika, U., ... & Almeida, A. (2019). Smart cities survey: Technologies, application domains and challenges for the cities of the future. International Journal of Distributed Sensor Networks, 15(6), 1550147719853984. 26. Saarinen, J. (2021). Is Being Responsible Sustainable in Tourism? Connections and Critical Differences. Sustainability, 13(12), 6599. 27. Sari, D. P. et al. (2021). Virtual Reality Tourism: Digital Application as a Media Education of Tourist in the Covid-19 Era. 6th UPI International Conference on TVET 2020 (TVET 2020), pp. 276-278, 2021. https://doi.org/10.2991/assehr.k.210203.133 28. Sepasgozar, S. M., Hawken, S., Sargolzaei, S., & Foroozanfa, M. (2019). Implementing citizen centric technology in developing smart cities: A model for predicting the acceptance of urban technologies. Technological Forecasting and Social Change, 142, 105-116. 29. Spencer, A. J., Buhalis, D., & Moital, M. (2012). A hierarchical model of technology adoption for small owner-managed travel firms: An organisational decision-making and leadership perspective. Tourism management, 33(5), 1195-1208. 30. Storbacka, K., Brodie, R. J., Böhmann, T., Maglio, P. P., & Nenonen, S. (2016). Actor engagement as a microfoundation for value cocreation. Journal of Business Research, 69(8), 3008-3017. 31. Verma, A. and Shukla, V. (2019). Analysing the Influence of IoT in Tourism Industry. Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur - India, February 26-28, 2019, pp. 2083-2093. 32. Weber, E. (2015). Industrie 4.0—Wirkungen auf Wirtschaft und Arbeitsmarkt (Industry 4.0 Impact on the economy and labor market). Wirtschaftsdienst, 95 (November 2015), 722-723. 33. Weidenfeld, A. (2018). Tourism diversification and its implications for smart specialisation. 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    The importance of vision and mission for organisational development and growth

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    Social responsibility and ethical issues about smart technology usage

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    The new forms of smart and artificial intelligent technologies present a great risk to the society (political – ethical challenge). For this reason, the ability of the society's decision makers to prepare an appropriate ethical response is needed. The paper is focused on the outline the main social, economic, and ethical issues, raised by the faster development of the smart and artificial intelligent products or services in everyday life processes. Smart technologies can today explore their environment, communicate with each other or with humans and help their users. The development and implementation of the smart technologies in the human environment is and it will be influenced by social and economic changes and opening new social and ethical problems in the near future, because smart technologies are now: (i) invading into the sensitive human areas and allow others to come easier for sensible private information in real time; (ii) causing job losses; (iii) replacing humans for tasks such as driving and more demanding (e.g. management of the industrial processes). The paper presents the issues of technology and human sciences. It is going for a complex subject which is quite often misrepresented, some of the fundamental concepts relating ethics in science and technology are recalled and clarified. At the conclusion of the paper social responsible model for implementation of the smart technology in human environment will be presented. The purpose of the model is to provide ethical and social norms and thus protect human before the socioeconomic changes caused with the high penetration of smart technologies in human everyday life
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