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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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.
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征集論文:國際運(yùn)營與生產(chǎn)管理雜志
緊急情況下的新興技術(shù)
特邀編輯
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
世界正目睹全球業(yè)務(wù)和組織供應(yīng)鏈發(fā)生前所未有的劇變。由于COVID-19,公司陷入了一個緊急情況,他們正在為自己的生存而戰(zhàn)。為了找到擺脫當(dāng)前危機(jī)的方法,管理者需要指導(dǎo)如何重新部署運(yùn)營資源和建立彈性。工業(yè)4.0技術(shù)將在重建和重組全球運(yùn)營和供應(yīng)鏈方面發(fā)揮重要作用(Koh、Orzes和Jia,2019;Queiroz等,2019)。近期學(xué)術(shù)界對新興技術(shù)的研究,如區(qū)塊鏈(Wamba 和 Queiroz,2020)、人工智能(AI)(Dwivedi 等,2019)、大數(shù)據(jù)分析(Kache 和Seuring,2017;Matthias等,2017)、物聯(lián)網(wǎng)(Islam 等,2018)、社交媒體(Ramanathan、Subramanian和Parrott,2017)和3D打印(Kapletia等,2019;Roscoe等,2019),加深了我們對供應(yīng)鏈環(huán)境下工業(yè)4.0的理解。然而,在文獻(xiàn)中得到有限關(guān)注的一個領(lǐng)域是新興技術(shù)在緊急情況下的影響。
由于疾病爆發(fā)(如COVID-19、SARS、MERS)、氣候變化、自然災(zāi)害、資源(如糧食、水)短缺和人為危機(jī)(如沖突、恐怖主義和大規(guī)模移民)而出現(xiàn)緊急情況。這種情況需要政府、非政府組織和企業(yè)迅速作出反應(yīng),以減輕對生命和財(cái)產(chǎn)的威脅。數(shù)字技術(shù)的最新進(jìn)展可以加強(qiáng)緊急情況下的規(guī)劃、動員和管理。例如,人工智能和商業(yè)分析可以快速識別處于困境中的人群。社交媒體可以在災(zāi)害期間協(xié)調(diào)當(dāng)?shù)刂驹刚叩木葹?zāi)工作。分布式制造技術(shù)(如3D打印)為組織提供了在爆發(fā)或?yàn)?zāi)難附近制造救生藥品、植入物、設(shè)備和裝置的潛力(Phillips等,2019)。
學(xué)者們已經(jīng)認(rèn)識到組織和動態(tài)能力在開發(fā)工業(yè)4.0技術(shù)中的重要性(Li等,2018;Roscoe等,2019)。然而,培養(yǎng)在緊急情況下部署新興技術(shù)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),學(xué)者們已經(jīng)確定了同步應(yīng)對災(zāi)害所需的協(xié)調(diào)機(jī)制(Holguín-Veras等,2012;Oloruntoba和Gray,2006;Van Wassenhove,2006),危機(jī)期間部署新興技術(shù)所需的過程受到的關(guān)注有限(Dwivedi等,2019)。為了解決這一研究缺陷,特刊將考慮在緊急情況下部署和利用新興技術(shù)所需的能力和協(xié)調(diào)機(jī)制,旨在激發(fā)與學(xué)者和從業(yè)人員在新興技術(shù)的最新進(jìn)展及其在自然和人為災(zāi)害、沖突局勢和疾病暴發(fā)(包括covid19)方面應(yīng)用的辯論和討論。
潛在主題
本期特刊邀請學(xué)者和實(shí)踐者通過考慮在緊急情況下整合新興技術(shù),為運(yùn)營和供應(yīng)鏈管理(O&SCM)領(lǐng)域提供見解和貢獻(xiàn)。我們期望這一特刊能夠通過回答以下研究問題為該領(lǐng)域帶來實(shí)質(zhì)性的貢獻(xiàn):在緊急情況下采用、實(shí)施和傳播新興技術(shù)時,運(yùn)營和供應(yīng)鏈管理者面臨哪些挑戰(zhàn)?
歡迎在以下領(lǐng)域作出貢獻(xiàn):
1人工智能(AI):在緊急情況下有效利用人工智能需要什么組織和供應(yīng)鏈能力?在災(zāi)后或沖突情況下,需要哪些協(xié)調(diào)機(jī)制來利用人工智能?利用這項(xiàng)技術(shù)的管理人員和外勤人員需要哪些能力和技能?在緊急情況下,人工智能如何幫助O&SCM績效改進(jìn)和價值創(chuàng)造?
2區(qū)塊鏈:區(qū)塊鏈在提高人道主義供應(yīng)鏈的可見性和透明度方面扮演什么角色?人道主義行動中的相關(guān)區(qū)塊鏈應(yīng)用有哪些?運(yùn)營經(jīng)理如何使用區(qū)塊鏈來應(yīng)對危機(jī)期間的疾病爆發(fā)?
3大數(shù)據(jù)和商業(yè)分析:商業(yè)分析如何支持自然災(zāi)害和人為災(zāi)害前后的人道主義行動。商業(yè)分析如何將疾病爆發(fā)給人類帶來的痛苦降到最低?商業(yè)分析如何幫助O&SCM領(lǐng)域?qū)⒐?yīng)鏈中斷產(chǎn)生的干擾降到最低?
4社交媒體。社交媒體是應(yīng)對供應(yīng)鏈中斷的有用技術(shù)嗎?社交媒體如何支持O&SCM學(xué)者應(yīng)對自然災(zāi)害和人為災(zāi)害?在災(zāi)后情況下,從業(yè)者如何使用社交媒體支持醫(yī)療保健運(yùn)營?
53D打印/增材制造。3D打印如何解決救災(zāi)行動中醫(yī)療用品短缺的問題?3D打印的哪些新應(yīng)用可以用來對抗資源短缺(水、食物等)?3D打印是難民行動中一種合適的新興技術(shù)嗎?需要哪些系統(tǒng)和流程來支持醫(yī)療設(shè)備和藥品的即時制造?
6物聯(lián)網(wǎng):如何利用物聯(lián)網(wǎng)在人道主義行動、疾病暴發(fā)和緩解過程中盡量減少人類痛苦?如何利用物聯(lián)網(wǎng)解決緊急情況下的資源短缺問題?
7無人機(jī)-無人機(jī)如何利用智慧城市基礎(chǔ)設(shè)施應(yīng)對災(zāi)后局勢?如何在人道主義行動中使用無人機(jī)?在救災(zāi)行動中使用無人機(jī)有哪些倫理問題?
8醫(yī)學(xué)診斷、藥物和先進(jìn)療法——診斷技術(shù)的進(jìn)步如何滿足對患者健康的快速準(zhǔn)確評估和/或監(jiān)測/跟蹤的需求?新興技術(shù)如何減輕緊急情況下藥品和疫苗供應(yīng)的壓力?領(lǐng)先的先進(jìn)療法是如何開創(chuàng)的,以解決與人道主義支持有關(guān)的一系列傷害和健康狀況。
擬發(fā)表論文類型
在這期特刊中,我們期待著有影響力的文章,用實(shí)證定量和定性的方法,包括(但不限于)案例研究、調(diào)查、設(shè)計(jì)科學(xué)、行動研究、混合方法,來處理一系列緊急情況的新興技術(shù)。這些論文必須為O&SCM領(lǐng)域以及人道主義和救災(zāi)行動的子學(xué)科提供新的見解和理論貢獻(xiàn)。此外,我們希望論文能利用新的框架和理論,為能力、協(xié)調(diào)機(jī)制、新興技術(shù)和緊急情況之間的相互作用提供新的視角。
提交和審查過程
論文必須遵守國際運(yùn)營與生產(chǎn)管理雜志的一般作者指南,可在https://www.emeraldgrouppublishing.com/journal/ijopm#author-guidelines 找到。必須通過稿件中心提交(https://mc.manuscriptcentral.com/ijopm)明確的選擇,表明提交的是本期特刊。提交給特刊的論文將接受常規(guī)的、徹底的雙盲審查程序。
論文提交截止日期:2020年11月30日
第一次審查結(jié)果:2021年1月31日
修改稿提交時間:2021年3月31日
第二次審查結(jié)果:2021年4月31日
本期特刊預(yù)計(jì)出版日期:2021年7月30日
