Cutting-edge Technologies for the Development of Asian countries

Call for papers for: Journal of Asia Business Studies

Artificial Intelligence (AI), Internet of Things/Internet of Everything (IoT/IoE), Blockchain, and Big Data are expected to have a disruptive impact in the public and private sectors in Asian countries. As a research field in social and managerial science, cutting-edge technologies are known for their substantial contribution on building a better future and society. The interdisciplinary environment created at the crossroad of different technologies (AI, IoT/IoE, Blockchain, Machine Learning, etc.) makes it the nucleus which changes the way how real-world problems are handled. It also provides practical solutions and approaches for complex issues based on generating new research theories in the fields of social and managerial science (Watts 2014; Watts 2017).

Indeed, if well implemented, these cutting-edge technologies can promote socioeconomic and ecological developments (Fosso Wamba et al. 2015) and enhance the quality of life (De-Arteaga et al. 2018) of Asian countries. Thus, they have the potential to bring great value to Asian countries in wide areas such as reshaping competitive advantages (Akter et al. 2020), responding to disasters (Ofli et al 2016; Zhou et al. 2018), reducing inequalities (Korinek and Stiglitz 2019), developing new knowledge (Harfouche et al. 2017), improving human health (Guo and Li 2018; Stone et al. 2018; Wahl et al. 2018), improving education (McCalla 2004), transportation, increasing participation in smart cities (Viale Pereira, et al. 2017), and revolutionizing agriculture (Harfouche et al. 2019; Saba et al. 2018).  They can also enhance and extend microfinance and social entrepreneurship (Popkova and Sergi 2020).

The special issue aims to identify new theories and applications of the cutting-edge technologies that support strategies aiming to improve the quality and sustainability of life in Asian countries. The aim is to tackle the impact of cutting-edge technologies on development of countries in Asia, shedding light on how these technologies are, and will be designed, adopted and adapted while respecting privacy, ethics and security. The focus will be on the impact of these technologies at the strategic, operational, and technical levels.

The special issue invites researchers, academics, and specialists to participate in the submission of scientific research in various areas of cutting-edge technologies for development of Asian countries, especially innovative and rigorously developed conceptual, empirical contributions, applications and deployment strategy and requirements.

Topics (but not limited to):

  • Big data, Blockchain, IoT and AI for development in Asia
  • Digital eco-system for cutting edge Technologies development in Asian countries
  • Cutting edge Technologies to improve the quality of life in Asian countries
  • Legal and ethical issues of cutting-edge Technologies use in the context of Asian countries
  • Application of Big Data Analytics to respond to human and natural disasters in Asian countries
  • AI, Blockchain and Big Data’s role in reducing inequalities in Asian countries
  • Cutting edge Technologies to reduce digital divide in Asian countries
  • AI and Big Data Applications in counterterrorism, pre and post attacks in Asian countries
  • Cutting-edge technologies role in security in Asian countries
  • AI role in improving education in Asian countries
  • AI role in enhancing microfinance in Asian countries
  • AI role in developing human health in Asian countries
  • AI human-centered design for security in Asian countries
  • Data Mining to improve the efficiency of the public sector in Asian countries
  • Artificial Intelligence implementation, adoption, adaptation by companies in Asian countries
  • Digital transformation and Inter-organization data sharing in Asian countries
  • The role of social media intelligence and analysis in solving complex social problems of Asian countries
  • AI and deep learning to identify risks in Asian countries
  • AI and democratization in Asian countries: opportunities and threats
  • Cutting edge Technologies and innovations in HR, Supply Chain, Logistics and other business areas in Asian countries
  • IoT/IoE and their role in development of Asian countries
  • AI as strategic tool for social entrepreneurship in Asian countries
  • Blockchain and development of Asian countries
  • Blockchain and Digital Currencies for Asian countries
  • Smart Buildings/Cities in Asian countries

Important dates and useful information:

  • Deadline for submission: 30/11/2020
  • Tentative Publication: November/December 2021

Submission and review process:

Manuscripts should not have been previously published or be under review in other journals. Outstanding papers on AI and cutting-edge Technologies in the Asian countries presented at ICTO2020 conference held at Paris La Défense on November 5th and 6th, 2020 (www.icto2020.webs.com) will be invited to submit their revised paper. The guest editors also welcome submissions of high-quality papers from the research community at large.

The manuscript must comply with the author guidelines of Journal of Asia Business Studies (JABS) available at https://www.emeraldgrouppublishing.com/journal/jabs#author-guidelines The JABS is a scholarly journal that focuses on country specific as well as comparative research on Asian business and management issues. JABS emphasizes research on strategic and operational issues faced by Asian companies operating within and beyond Asia as well as international companies operating in Asia.

All papers will be screened by at least two guest editors (and desk rejected if not deemed suitable) before being sent to at least two reviewers. Papers will undergo a maximum of two rounds of revision to meet the scope and high standards of the journal. We anticipate that the special issue will be published in the JABS by the end of 2021.

For any queries regarding submission, please email the special issue guest editors.

Special Issue Guest Editors

  1. Prof Antoine Harfouche, University Paris Nanterre, France ([email protected])
  2. Prof Peter Saba, EMLV, France ([email protected])
  3. Prof Georges Aoun, University Saint Joseph ([email protected])
  4. Prof Marco de Marco, Uninettuno University, Italy ([email protected])
  5. Prof Samuel Fosso Wamba, TBS Business School, France ([email protected])

References

Akter, S, Gunasekaran, A., Wamba, SF, Babu, MM, Hani U (2020) Reshaping competitive advantages with analytics capabilities in service systems. Technological Forecasting and Social Change 159, 120-180.

De-Arteaga, M., Herlands, W., Neill, D., and Dubrawski. A., (2018). Machine Learning for the Developing World. ACM Trans. Manage. Inf. Syst. 9 (2), 9-14.

Fosso Wamba, S., Akter, S., Edwards, A., Chopin, G., and 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, 165, 234-246.

Guo J, Li B. (2018) The Application of Medical Artificial Intelligence Technology in Rural Areas of Developing Countries. Health Equity;2(1):174-181.

Harfouche, A. Quinio, B., Skandrani, S., Marciniak, R. (2017), « A Framework for Artificial Knowledge Creation in Organizations, » Thirty eighth International Conference on Information Systems ICIS2017, Seoul.

Harfouche, AL, DA Jacobson, D Kainer, JC Romero, AH Harfouche, G. Scarascia Mugnozza, M. Moshelion, G. A. Tuskan, J. J.B. Keurentjes, A. Altman (2019). “Accelerating Climate Resilient Plant Breeding by Applying Next-Generation Artificial Intelligence, Trends in Biotechnology, In press.

Korinek, A. and. Stiglitz J.E (2019), “Artificial Intelligence and Its Implications for Income Distribution and Unemployment,” forthcoming in Agrawal et al.: The Economics of Artificial Intelligence, NBER and University of Chicago Press.

McCalla, G., 2004. The Ecological Approach to the Design of E-Learning Environments: Purpose-based Capture and Use of Information About Learners. Journal of Interactive Media in Education, 2004(1), p.Art. 3.

Ofli, F., Meier, P., Imran, M., Castillo, C., Tuia, D., Rey, N., Briant, J., Millet, P., Reinhard, F., Parkan, M., & Joost, S. (2016). Combining human computing and machine learning to make sense of big (aerial) data for disaster response. Big Data, 4(1): 47–59.

Popkova, E.G. and Sergi, B.S. (2020). “Human capital and AI in industry 4.0. Convergence and divergence in social entrepreneurship in Russia”, Journal of Intellectual Capital, 21(4), 565-581.

Saba, M.Bou Saba, P. and Harfouche, A. (2018). "Hidden facets of IT projects are revealed only after deployment: The case of French agricultural cooperatives", Information Technology & People, Vol. 31 No. 1, pp. 239-255.

Stone, P., Brooks, R., Brynjolfsson, E., Calo, R., Etzioni, O., Hager, G., Hirschberg, J., Kalyanakrishnan, S., Kamar, E., Kraus, S., Leyton-Brown, K., Parkes, D., Press, W., Saxenian, A. L., Shah, J., Tambe, M., and Teller, A. (2016). “Artificial Intelligence and Life in 2030. One Hundred Year Study on Artificial Intelligence: Report of the 2015-2016 Study Panel,” Stanford University, Stanford, CA.

Viale Pereira, G., Cunha, M. A., lampoltshammer, T.J, Parycek P. and Gregianin Testa M. (2017). Increasing collaboration and participation in smart city governance: a cross-case analysis of smart city initiatives. Information Technology for Development, 23(3), 526-553.

Wahl B, C.-G.A., Germann S, et al (2018) Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings?,  BMJ Global Health, 2018;3:e000798.

Watts, D. (2014). Common Sense and Sociological Explanations. American Journal of Sociology, 120(2), 313-351. doi:10.1086/678271

Watts, D. (2017). Should social science be more solution-oriented?. Nature Human Behaviour, 1(1), 0015. http://dx.doi.org/10.1038/s41562-016-0015

Zhou, L., Wu, X., Xu, Z., Fujita H. (2018). Emergency decision making for natural disasters: an overview, Int. J. Disaster Risk Reduct., 27, 567-576.