[AISWorld] JDM Special Issue is extended to 8/1/2020: IS/IT Role in Emergency and Pandemic Management

Thu Jul 16 22:45:15 EDT 2020

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Due to many requests, we have extended our special issue submission deadline to August 1st 2020. After August 1st 2020, we still welcome contributions to the topic of our special issue, and high-quality papers will be published in the regular issue of Journal of Database Management.

********************* CALL FOR PAPERS *********************

JOURNAL OF DATABASE MANAGEMENT

Editor-in-Chief: Keng Siau, Missouri University of Science and Technology

https://www.igi-global.com/journal/journal-database-management/1072

SPECIAL ISSUE ON IS/IT Role in Emergency and Pandemic Management

Special Issue Guest Editors:

Wen-Lung Shiau, School of Management, Zhejiang University of Technology, China

Email: macshiau at zjut.edu.cn<mailto:macshiau at zjut.edu.cn>

Keng Siau, Department of Business and Information Technology, Missouri University of Science and Technology, US

Email: siauk at mst.edu<mailto:siauk at mst.edu>

Yuan Yu, School of Information Management, Wuhan University, China,

Email: yuyuan_1978 at 126.com<mailto:yuyuan_1978 at 126.com>

Jia Guo (Review Manager), School of Management, Zhejiang University of Technology, China, Email: jiaguo at zjut.edu.cn<mailto:yuyuan_1978 at 126.com>

SPECIAL ISSUE SUBMISSION DUE DATE: July 15th, 2020

INTRODUCTION:

IS/IT plays a pivotal role in information gathering, information analysis, information sharing, and information management during a crisis. The recent outbreak of the coronavirus (COVID-19) pandemic is bringing the world to its knees. By early April 2020, more than a million COVID-19 cases have been reported worldwide. And over 200 countries are affected including China, U.S., Japan, Italy, Spain, U.K., South Korea, Iran, and many others. To stop the spread of COVID-19, countries around the world have adopted enhanced public health responses such as closing their borders to all but their citizens, suspending intra-city public transport, banning public gatherings, and restricting the movement of residents. Although recent literature indicates that travel restrictions and transmission control measures are effective in delaying the spreading and limiting the size of the COVID-19 epidemic in China (Chinazzi et al. 2020; Tian et al. 2020), there is still an urgent need for greater understanding of existing and alternative public health actions and what information systems (IS)/ information technology (IT) can offer in emergency and pandemic management.

It is widely known that IS/IT plays an important role in healthcare, clinical decision support, emergency response and preparedness, and disaster information management and planning (Ryoo & Choi, 2006; Fichman et al. 2011; Yang et al. 2012; Van De Walle et al. 2014; Chen et al. 2019). For example, data mining techniques can provide various data-driven classification systems for addressing the risk associated with different groups of prostate cancer patients (Churilov et al. 2005). From the post-analysis of major extreme events, it is revealed that information sharing is critical for effective emergency responses (Chen et al. 2013). In large-scale emergencies, IS/IT solutions have been developed to enhance inter-agency flows of information, communication, and coordination (Aedo et al. 2010). However, IS/IT emergency management solutions may not be optimally designed for pandemic cases when the situation is constantly changing and evolving, and decisions need to be made real-time with incomplete and dirty data. Further, trust, privacy, and ethical issues cannot be ignored during a crisis (Siau and Wang, 2020; Wang and Siau, 2019). For example, the ethical issues related to access to medical services and devices when the hospitals are overwhelmed. We need more case studies, computing models, empirical studies, theoretical articles, mixed-method approaches, and advanced methodologies to understand, explain, predict, and manage pandemic crises such as COVID-19 (Gefen et al. 2011; Sarker et al. 2018a,b, Hair et al. 2019; Shiau et al. 2019; Khan et al. 2019; Shiau and Chau, 2016; Chen et al. 2019; Chinazzi et al. 2020; Harrison et al. 2020). Advanced technologies such as data analytics, data science, artificial intelligence, and machine learning can play a critical role in pandemic crisis management as well.

OBJECTIVE OF THE SPECIAL ISSUE:

This call for papers is intended to solicit insights and viewpoints from scholars regarding IS/IT role in emergency and pandemic management. Interested authors are encouraged to submit their articles addressing the theme of this special issue.

RECOMMENDED TOPICS:

Topics to be discussed in this special issue include (but are not limited to) the following:

•               Adoption, diffusion, and use of IS/IT in emergency and pandemic management

•               Organizational, clinical, and financial implications of IS/IT

•               Innovative strategies to limit the risk of spread of disease during a pandemic

•               Advanced methodologies for emergency response and preparedness

•               Emergency management of resource allocation

•               Study on the mechanism of inter-regional cooperation during epidemic        outbreaks

•               Effect of social forces and cultural differences in emergency management

•               Global supply chains in emergency management

•               Trust, privacy, and ethical issues in emergency management

•               Application of advanced technologies such as data science, data analytics, artificial intelligence, and machine learning in emergency management

•               Other emerging issues and state-of-the-art technologies related to IS/IT role in emergency management

SUBMISSION PROCEDURE:

Researchers and practitioners are invited to submit papers for this special theme issue on IS/IT Role in Emergency and Pandemic Management on or before July 15th, 2020. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquires should be directed to the attention of:

Jia Guo

Guest Editor – Special Issue Review Coordinator

E-mails: jiaguo at zjut.edu.cn<mailto:jiaguo at zjut.edu.cn>

References

Aedo, I., Díaz, P., Carroll, J. M., Convertino, G., and Rosson, M. B. 2010. “End-user oriented strategies to facilitate multi-organizational adoption of emergency management information systems,” Information processing & Management (46:1), pp. 11-21.

Chen, L., Baird, A., and Straub, D. W. 2019. “An Analysis of the Evolving Intellectual Structure of Health Information Systems Research in the Information Systems Discipline,” Journal of the Association for Information Systems (20:8), pp. 1023-2074.

Chen, R., Sharman, R., Rao, H. R., and Upadhyaya, S. J. 2013. “Data model development for fire related extreme events: An activity theory approach,” MIS Quarterly (37:1), pp. 125-147.

Chinazzi, M., Davis, J. T., Ajelli, M., Gioannini, C., Litvinova, M., Merler, S., ... and Viboud, C. 2020. “The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak,” Science, 06 Mar.

Churilov, L., Bagirov, A., Schwartz, D., Smith, K., and Dally, M. 2005. “Data mining with combined use of optimization techniques and self-organizing maps for improving risk grouping rules: application to prostate cancer patients,” Journal of Management Information Systems (21:4), pp. 85-100.

Fichman, R.G., Kohli, R., and Krishnan, R. (eds.) 2011. “Editorial overview—the role of information systems in healthcare: Current research and future trends,” Information Systems Research (22:3), pp. 419-428.

Gefen, D., Straub, D. W., and Rigdon, E. E. 2011. “An Update and Extension to SEM Guidelines for Administrative and Social Science Research,” MIS Quarterly (35:2), pp. iii-xiv.

Hair, J. F., Risher, J. J., Sarstedt, M., and Ringle, C. M. 2019. “When to use and how to report the results of PLS-SEM,” European Business Review (31:1), pp. 2-24.

Harrison, R. L., Reilly, T. M., and Creswell, J. W. 2020. “Methodological Rigor in Mixed Methods: An Application in Management Studies,” Journal of Mixed Methods Research (2020 Accepted/In press).

Khan, G. F., Sarstedt, M., Shiau, W, L., Hair, J. F., Ringle, C. M., and Fritze, M. P., 2019. “Methodological research on partial least squares structural equation modeling (PLS-SEM): An analysis based on social network approaches,” Internet Research (29:3), pp. 407-429.

Ryoo, J., and Choi, Y. B. 2006. “A comparison and classification framework for disaster information management systems,” International Journal of Emergency Management (3:4), pp. 264-279.

Sarker S., Xiao X., Beaulieu T., and Lee A. S. 2018a. "Learning from First-Generation Qualitative Approaches in the IS Discipline: An Evolutionary View and Some Implications for Authors and Evaluators (PART 1/2)," Journal of the AIS (19:8), pp. 752-774

Sarker S., Xiao X., Beaulieu T., and Lee A. S. 2018b. "Learning from First-Generation Qualitative Approaches in the IS Discipline: An Evolutionary View and Some Implications for Authors and Evaluators (PART 2/2)," Journal of the AIS (19:9), pp. 909-923.

Shiau, W. L., Sarstedt, M., and Hair, J. F. 2019. “Internet research using partial least squares structural equation modeling (PLS-SEM),” Internet Research (29:3), pp. 398-406.

Shiau, W. L., and Chau, Y. K. 2016. “Understanding behavioral intention to use a cloud computing classroom: A multiple model-comparison approach,” Information & Management (53:3), pp. 355–365.

Siau, K. and Wang, W. 2020. “Artificial Intelligence (AI) Ethics – Ethics of AI and Ethical AI,” Journal of Database Management (31:2), pp. 74-87.

Tian, H., Liu, Y., Li, Y., Wu, C. H., Chen, B., Kraemer, M. U., ... and Wang, B. 2020. “An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China,” Science, 31 Mar.

Van De Walle, B., Turoff, M., and Hiltz, S. R. 2014. Information systems for emergency management. New York: Routledge.

Wang, W., Siau, K. 2019. “Industry 4.0: Ethical and Moral Predicaments,” Cutter Business Technology Journal (32:6), pp. 36-45.

Wang, W., Siau, K. 2019. “Artificial Intelligence, Machine Learning, Automation, Robotics, Future of Work, and Future of Humanity – A Review and Research Agenda,” Journal of Database Management, (30:1), pp. 61-79.

Yang, L., Su, G., and Yuan, H. 2012. “Design principles of integrated information platform for emergency responses: the case of 2008 Beijing Olympic Games,” Information Systems Research (23:3-part-1), pp. 761-786.

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