Call for papers for: International Journal of Operations & Production Management

Emerging Technologies in Emergency Situations

Guest Editors

Prof Samuel Fosso Wamba, Toulouse Business School, France

Prof Maciel M. Queiroz, Universidade Paulista, Brazil

Dr. Samuel Roscoe, University of Sussex Business School, UK

Prof Wendy Phillips, University of the West of England, UK

Dr. Dharm Kapletia, University of the West of England, UK

Prof Arash Azadegan, Rutgers Business School, USA

Background

Potential topics

Contributions will be welcome in the following areas:

1. Artificial Intelligence (AI): What organisational and supply chain capabilities are required to effectively utilize Artificial Intelligence in emergency situations? What coordination mechanisms are required to utilize AI in a post-disaster or conflict scenario? What capabilities and skills are needed by managers and field operatives utilizing this technology? How can Artificial Intelligence contribute to O&SCM performance improvement and value creation n emergency situations?

2. Blockchain: What is the role of blockchain in enhancing visibility and transparency in humanitarian supply chains? Which are the relevant blockchain applications in humanitarian operations? How can blockchain be used by operations managers to combat disease outbreaks during crises?

3. Big Data and Business Analytics: How can business analytics support humanitarian operations pre-and post-natural and man-made disasters. How can business analytics minimize human suffering caused by disease outbreaks? How can business analytics help the O&SCM field minimize the disturbances produced by supply chain disruptions?

4. Social Media. Is social media a useful technology in responding to supply chain disruptions? How can social media support O&SCM scholars in addressing natural and man made disasters? How are practitioners using social media to support healthcare operations in post-disaster situations?

5. 3D printing/Additive Manufacturing. How can 3D printing address the scarcity of medical supplies in disaster relief operations? What novel applications of 3D printing can be used to combat resource scarcity (water, food, etc.)? Is 3D printing a suitable emerging technology in refugee operations? What systems and processes are needed to support point-of-care manufacture of healthcare devices and medicines?

6. Internet of things: How can the internet of things be used to minimize human suffering during humanitarian operations, disease outbreaks and mitigation? How can the internet of things be used to address issues of resources scarcity in emergency situations?

7. Drones - How can drones use the smart cities infrastructure to respond to post-disaster situations? How can drones can be used in humanitarian operations? What are the ethical issues related to the usage of the drones in disaster relief operations?

8. Medical diagnostics, medicines and advanced therapies – How can advances in diagnostics address the need for rapid and accurate evaluation and/or monitoring/tracking of patient health? How can emerging technologies alleviate pressure on the availability of pharmaceuticals and vaccines in emergency scenarios? How are leading-edge advanced therapies being pioneered to address a range of injuries and health conditions associated with humanitarian support.

Types of papers to be published

In this special issue, we expect influential articles dealing with a range of emerging technologies for emergency situations using empirical quantitative and qualitative methodologies including (but not limited to) case studies, surveys, design science, action research, mixed-methods, etc. The papers must provide new insights and theoretical contributions to the O&SCM field and the sub-discipline of humanitarian and disaster relief operations. Moreover, we expect papers to utilize novel frameworks and theories to shed new light on the interplay between capabilities, coordination mechanisms, emergent technologies and emergency situations

Submission and review process

Papers must adhere to the normal author guidelines of the International Journal of Operations and Production Management, which can be found at https://www.emeraldgrouppublishing.com/journal/ijopm#author-guidelines. Submission must be made via Manuscript Central (https://mc.manuscriptcentral.com/ijopm) with clear selection indicating that the submission is for this Special Issue. Papers submitted to the Special Issue will be subjected to the normal thorough double-blind review process.

Deadline for paper submission: 30/11/2020

First review outcome by: 31/01/2021

Revised manuscript to be submitted by: 31/03/2021

Second review outcome by: 31/04/2021

Expected publication date of this Special Issue: 30/07/2021

Special Issue Editorial Team

Prof Samuel Fosso Wamba(s.fosso-wamba@tbs-education.fr) lead guest editor), Ph.D., HDR, is a Professor at Toulouse Business School. His current research focuses on business value of IT, inter-organizational systems adoption and use, SCM, electronic commerce, blockchain, artificial intelligence in business, social media, business analytics, and big data. He has published papers in a number of journals including: Academy of Management Journal, European Journal of Information Systems, International Journal of Production Economics, International Journal of Production Research, Technological Forecasting and Social Change, Journal of Business Research, Production Planning & Control, Information Systems Frontiers, Electronic Markets, Proceedings of the IEEE. He is an Associate Editor of International Journal of Logistics Management information and The Electronic Markets. He is the Coordinator of the Artificial Intelligence & Business Analytics Cluster of Toulouse Business School, France.

Prof. Maciel M. Queiroz(maciel.queiroz@docente.unip.br), Ph.D., is a Professor and Researcher of Operations and Supply Chain Management at Universidade Paulista – UNIP. His current research focuses on Digital supply chain capabilities, Industry 4.0, AI, blockchain, big data, and IoT. He has published papers in top-tier international journals and conferences, including IJIM, IJLM, SCMIJ, BIJ, EQM, among others. Also, his research appeared in the Proceedings of the IFAC-MIM, IMAM, TMS, ISL. He serves as a reviewer for top-tier international journals and AOM. Dr. Maciel has been serving as a Guest Co-Editor for the International Journal of Information Management, on the topic “Blockchain in the Operations and Supply Chain Management”, Production Planning and Control on the topic “Industry experiences of Artificial Intelligence (AI): benefits and challenges in operations and supply chain management”. Also, he served as a co-chair in Artificial Intelligence topics for various conferences, including itAIS & MCIS 2019 and IFIP WG8.6 2020.

Dr. Samuel Roscoe(S.Roscoe@sussex.ac.uk) is a Senior Lecturer in Operations Management and teaches in the areas of Operations and Supply Chain Management. Sam has published in the Journal of Operations Management on digital manufacturing in the aerospace sector. He has also published on dynamic supply chain capabilities in the International Journal of Operations and Production Management (IJOPM) and local volunteerism in disaster relief situations with the International Journal of Production Research (IJPR). Sam received funding from the EPSRC to investigate how 3D printing in reconfiguring pharmaceutical supply chains; moving production closer to patients and consumers. Sam's research interests are on how emerging technologies (3D printing, Blockchain, Artificial Intelligence) are reconfiguring global supply chains. He is the research leader for the Supply Chain 4.0 Hub at the University of Sussex Business School.

Prof Wendy Phillips(Wendy.Phillips@uwe.ac.uk), Ph.D., is Professor of Innovation at the University of the West of England. She has a multi-disciplinary background in science and management and have spent over 15 years advancing the disciplines of innovation studies and supply chain management. Her research impacts policy and practice. Wendy’s experience includes leading and contributing to large scale collaborative research projects such as EPSRC funded RiHN (www.RiHN.org.uk); HEFCE study of Strategic Sourcing in UK Higher Education Institutions; EPSRC and ESRC funded research on innovation in supply networks. She has published papers in a number of journals and conferences including: Journal of Business Ethics, International Journal of Production Research, Production Planning and Control and the International Journal of Operations and Production Management. 

Dr Dharm Kapletia(Dharm.Kapletia@uwe.ac.uk) is Senior Research Fellow at the University of the West of England, specialising in Technology and Innovation Management. He is also a Fellow of the Schumacher Institute for Sustainable Systems in Bristol. Dharm has worked in various research, analytical and consulting roles, for organisations such as Jisc, ADS Group, Hewlett–Packard Laboratories and the UK Ministry of Defence. He has contributed to UK and European innovation and transformation programmes and agendas in healthcare, defence and cyber security. He holds an industry-sponsored PhD from the Engineering Department at the University of Cambridge and his main research interests include managing innovation in complex systems, as well as science and engineering policy and industrial transformation.

Prof Arash Azadegan (aazadegan@business.rutgers.edu), Ph.D., is a Professor at Rutgers Business School. Dr. Azadegan focuses on research related to supply chain disruptions, response and recovery from disruptions and inter-organizational creativity and innovation. Dr. Azadegan manages the Supply Chain Disruption Research Laboratory (SCDrl) at the Center for Supply Chain Management. Dr. Azadegan's work is published in the Journal of Operations Management, Production and Operations Management Journal, Journal of Supply Chain Management, R&D Management Journal, Journal of Purchasing and Supply Management and International Journal of Operations and Production Management. He is currently working on several projects related to disruption recovery and response management practices of supply chains.

For further information or queries regarding the special issue, please do not hesitate to contact the lead editor via e-mail and cc the other editors.

References

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Dubey, R. et al. (2019) ‘Big data analytics and organizational culture as complements to swift trust and collaborative performance in the humanitarian supply chain’, International Journal of Production Economics. Elsevier B.V., 210(January), pp. 120–136. doi: 10.1016/j.ijpe.2019.01.023.

Dwivedi, Y. K. et al. (2019) ‘Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy’, International Journal of Information Management. Elsevier, (July), p. 101994. doi: 10.1016/j.ijinfomgt.2019.08.002.

De Giovanni, P. (2019) ‘When feature-based production capabilities challenge operations: Drivers, moderators, and performance’, International Journal of Operations and Production Management. doi: 10.1108/IJOPM-04-2019-0309.

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Kache, F. and Seuring, S. (2017) ‘Challenges and opportunities of digital information at the intersection of Big Data Analytics and supply chain management’, International Journal of Operations & Production Management, 37(1), pp. 10–36. doi: 10.1108/IJOPM-02-2015-0078.

Kapletia, D. et al. (2019) ‘Redistributed manufacturing – challenges for operations management’, Production Planning & Control, 30(7), pp. 493–495. doi: 10.1080/09537287.2018.1540057.

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Ramanathan, U., Subramanian, N. and Parrott, G. (2017) ‘Role of social media in retail network operations and marketing to enhance customer satisfaction’, International Journal of Operations and Production Management, 37(1), pp. 105–123. doi: 10.1108/IJOPM-03-2015-0153.

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征集论文：国际运营与生产管理杂志

紧急情况下的新兴技术

特邀编辑

Prof Samuel Fosso Wamba, Toulouse Business School, France

Prof Maciel M. Queiroz, Universidade Paulista, Brazil

Dr. Samuel Roscoe, University of Sussex Business School, UK

Prof Wendy Phillips, University of the West of England, UK

Dr. Dharm Kapletia, University of the West of England, UK

Prof Arash Azadegan, Rutgers Business School, USA

背景

世界正目睹全球业务和组织供应链发生前所未有的剧变。由于COVID-19，公司陷入了一个紧急情况，他们正在为自己的生存而战。为了找到摆脱当前危机的方法，管理者需要指导如何重新部署运营资源和建立弹性。工业4.0技术将在重建和重组全球运营和供应链方面发挥重要作用（Koh、Orzes和Jia，2019；Queiroz等，2019）。近期学术界对新兴技术的研究，如区块链（Wamba 和 Queiroz，2020）、人工智能（AI）（Dwivedi 等，2019）、大数据分析（Kache 和Seuring，2017；Matthias等，2017）、物联网（Islam 等，2018）、社交媒体（Ramanathan、Subramanian和Parrott，2017）和3D打印（Kapletia等，2019；Roscoe等，2019），加深了我们对供应链环境下工业4.0的理解。然而，在文献中得到有限关注的一个领域是新兴技术在紧急情况下的影响。

由于疾病爆发（如COVID-19、SARS、MERS）、气候变化、自然灾害、资源（如粮食、水）短缺和人为危机（如冲突、恐怖主义和大规模移民）而出现紧急情况。这种情况需要政府、非政府组织和企业迅速作出反应，以减轻对生命和财产的威胁。数字技术的最新进展可以加强紧急情况下的规划、动员和管理。例如，人工智能和商业分析可以快速识别处于困境中的人群。社交媒体可以在灾害期间协调当地志愿者的救灾工作。分布式制造技术（如3D打印）为组织提供了在爆发或灾难附近制造救生药品、植入物、设备和装置的潜力（Phillips等，2019）。

学者们已经认识到组织和动态能力在开发工业4.0技术中的重要性（Li等，2018；Roscoe等，2019）。然而，培养在紧急情况下部署新兴技术的能力的重要性尚未得到充分研究（Sarkis，2012；De Giovanni，2019；Koh、Orzes和Jia，2019），学者们已经确定了同步应对灾害所需的协调机制（Holguín-Veras等，2012；Oloruntoba和Gray，2006；Van Wassenhove，2006），危机期间部署新兴技术所需的过程受到的关注有限（Dwivedi等，2019）。为了解决这一研究缺陷，特刊将考虑在紧急情况下部署和利用新兴技术所需的能力和协调机制，旨在激发与学者和从业人员在新兴技术的最新进展及其在自然和人为灾害、冲突局势和疾病暴发（包括covid19）方面应用的辩论和讨论。

潜在主题

本期特刊邀请学者和实践者通过考虑在紧急情况下整合新兴技术，为运营和供应链管理（O&SCM）领域提供见解和贡献。我们期望这一特刊能够通过回答以下研究问题为该领域带来实质性的贡献：在紧急情况下采用、实施和传播新兴技术时，运营和供应链管理者面临哪些挑战？

欢迎在以下领域作出贡献：

1人工智能（AI）：在紧急情况下有效利用人工智能需要什么组织和供应链能力？在灾后或冲突情况下，需要哪些协调机制来利用人工智能？利用这项技术的管理人员和外勤人员需要哪些能力和技能？在紧急情况下，人工智能如何帮助O&SCM绩效改进和价值创造？

2区块链：区块链在提高人道主义供应链的可见性和透明度方面扮演什么角色？人道主义行动中的相关区块链应用有哪些？运营经理如何使用区块链来应对危机期间的疾病爆发？

3大数据和商业分析：商业分析如何支持自然灾害和人为灾害前后的人道主义行动。商业分析如何将疾病爆发给人类带来的痛苦降到最低？商业分析如何帮助O&SCM领域将供应链中断产生的干扰降到最低？

4社交媒体。社交媒体是应对供应链中断的有用技术吗？社交媒体如何支持O&SCM学者应对自然灾害和人为灾害？在灾后情况下，从业者如何使用社交媒体支持医疗保健运营？

53D打印/增材制造。3D打印如何解决救灾行动中医疗用品短缺的问题？3D打印的哪些新应用可以用来对抗资源短缺（水、食物等）？3D打印是难民行动中一种合适的新兴技术吗？需要哪些系统和流程来支持医疗设备和药品的即时制造？

6物联网：如何利用物联网在人道主义行动、疾病暴发和缓解过程中尽量减少人类痛苦？如何利用物联网解决紧急情况下的资源短缺问题？

7无人机-无人机如何利用智慧城市基础设施应对灾后局势？如何在人道主义行动中使用无人机？在救灾行动中使用无人机有哪些伦理问题？

8医学诊断、药物和先进疗法——诊断技术的进步如何满足对患者健康的快速准确评估和/或监测/跟踪的需求？新兴技术如何减轻紧急情况下药品和疫苗供应的压力？领先的先进疗法是如何开创的，以解决与人道主义支持有关的一系列伤害和健康状况。

拟发表论文类型

在这期特刊中，我们期待着有影响力的文章，用实证定量和定性的方法，包括（但不限于）案例研究、调查、设计科学、行动研究、混合方法，来处理一系列紧急情况的新兴技术。这些论文必须为O&SCM领域以及人道主义和救灾行动的子学科提供新的见解和理论贡献。此外，我们希望论文能利用新的框架和理论，为能力、协调机制、新兴技术和紧急情况之间的相互作用提供新的视角。

提交和审查过程

论文必须遵守国际运营与生产管理杂志的一般作者指南，可在https://www.emeraldgrouppublishing.com/journal/ijopm#author-guidelines 找到。必须通过稿件中心提交(https://mc.manuscriptcentral.com/ijopm)明确的选择，表明提交的是本期特刊。提交给特刊的论文将接受常规的、彻底的双盲审查程序。

论文提交截止日期：2020年11月30日

第一次审查结果：2021年1月31日

修改稿提交时间：2021年3月31日

第二次审查结果：2021年4月31日

本期特刊预计出版日期：2021年7月30日