Artificial Intelligence and Emerging Technology Integration: Setting a Research Agenda in Operations Management
Keywords:
artificial intelligence, supply chain management, operations management, technology adoption, mixed-methods researchAbstract
Artificial intelligence (AI) has emerged as a key driver behind numerous technological innovations and is increasingly shaping practices in supply chain and operations management. This paper outlines a research agenda that explores how both scholars and practitioners can investigate the adoption of AI-based solutions to enhance supply chain performance. Drawing upon the unified theory of acceptance and use of technology, we propose several avenues for inquiry that emphasize the use of mixed-methods research designs. Given that these technologies remain in an early yet rapidly advancing stage, mixed-methods approaches provide a suitable framework to carefully evaluate their features and to identify pathways that may encourage effective adoption, with particular benefits for operations in mind. Accordingly, we highlight three research directions grounded in the developmental, integrative, and expansion-oriented purposes of mixed-methods studies.
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References
Ajzen, Icek. 1991. “The Theory of Planned Behavior.” Organizational Behavior and Human Decision Processes 50 (2): 179–211. doi:https://doi.org/10.1016/0749-5978(91)90020-T.
Akter, Shahriar, Katina Michael, Muhammad Rajib Uddin, Grace McCarthy, and Mahfuzur Rahman. 2022. “Transform- ing Business Using Digital Innovations: The Application of AI, Blockchain, Cloud and Data Analytics.” Annals of Opera- tions Research 308: 7–39. doi:10.1007/s10479-020-03620-w.
Araz, Ozgur M., Tsan Ming Choi, David L. Olson, and F. Sibel Salman. 2020. “Role of Analytics for Operational Risk Man- agement in the Era of Big Data.” Decision Sciences 51 (6):1320–1346. doi:10.1111/deci.12451.
Battilana, Julie, Metin Sengul, Anne Claire Pache, and Jacob Model. 2015. “Harnessing Productive Tensions in Hybrid Organizations: The Case of Work Integration Social Enter- prises.” Academy of Management Journal 58 (6): 1658–1685. doi:10.5465/amj.2013.0903.
Ben-Daya, Mohamed, Elkafi Hassini, and Zied Bahroun. 2019. “Internet of Things and Supply Chain Management: A Liter- ature Review.” International Journal of Production Research 57(15-16): 4719–4742. doi:10.1080/00207543.2017.1402140.
Blut, Markus, Alain Yee Loong Chong, Zayyad Tsigna, and Viswanath Venkatesh. 2022. “Meta-Analysis of the Unified Theory of Acceptance and Use of Technology (UTAUT): Challenging Its Validity and Charting a Research Agenda in the Red Ocean.” Journal of the Association for Information Systems 23 (1): 13–95. doi:10.17705/1jais.00719.
Cadden, Trevor, Denis Dennehy, Matti Mantymaki, and Ray- mond Treacy. 2021. “Understanding the Influential and Mediating Role of Cultural Enablers of AI Integration to Supply Chain.” International Journal of Production Research 60 (14): 4592–4620. doi:10.1080/00207543.2021.1946614.
Cammarano, Antonello, Vincenzo Varriale, Francesca Miche- lino, and Mauro Caputo. 2022. “Blockchain as Enabling Fac- tor for Implementing RFID and IoT Technologies in VMI: A Simulation on the Parmigiano Reggiano Supply Chain.” Operations Management Research. doi:10.1007/s12063-022- 00324-1.
Chan, Frank K. Y., James Y. L. Thong, Susan A. Brown, and Viswanath Venkatesh. 2021. “Service Design and Citizen Satisfaction with E-Government Services: A Multidimen- sional Perspective.” Public Administration Review 81 (5): 874–894. doi:10.1111/puar.13308.
Chipeva, Petya, Frederico Cruz-Jesus, Tiago Oliveira, and Zahir Irani. 2018. “Digital Divide at Individual Level: Evi- dence for Eastern and Western European Countries.” Gov- ernment Information Quarterly 35 (3): 460–479. doi:10. 1016/j.giq.2018.06.003.
Compeau, Deborah R, and Christopher A. Higgins. 1995. “Computer Self-Efficacy: Development of a Measure and Initial Test.” MIS Quarterly 19 (2): 189–211. doi:10.2307/249688.
Davis, Fred D. 1989. “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology.” MIS Quarterly 13 (3): 319–340. doi:10.2307/249008.
Davis, Fred D., Richard P. Bagozzi, and Paul R. Warshaw. 1992. “Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1.” Journal of Applied Social Psychology 22 (14): 1111–1132. doi:https://doi.org/10.1111/j.1559-1816.1992. tb00945.x.
Dwivedi, Yogesh K., Laurie Hughes, Elvira Ismagilova, Gert Aarts, Crispin Coombs, Tom Crick, Yanqing Duan, et al. 2021. “Artificial Intelligence (AI): Multidisciplinary Per- spectives on Emerging Challenges, Opportunities, and Agenda for Research, Practice and Policy.” International Journal of Information Management 57 (April): 101994. doi:10.1016/j.ijinfomgt.2019.08.002.
Fishbein, M., and Icek Ajzen. 1975. Belief, Attitude, Intention and Behaviour: An Introduction to Theory and Research. Vol. 27.
Fosso Wamba, Samuel, Ransome Epie Bawack, Cameron Guthrie, Maciel M. Queiroz, and Kevin Daniel André Car- illo. 2021. “Are We Preparing for a Good AI Society? A Bibliometric Review and Research Agenda.” Technologi- cal Forecasting and Social Change 164 (March): 120482. doi:10.1016/j.techfore.2020.120482.
Golicic, Susan L., and Donna F. Davis. 2012. “Implement- ing Mixed Methods Research in Supply Chain Manage- ment.” International Journal of Physical Distribution & Logis- tics Management 42: 726–741. doi:10.1108/09600031211269721.
Goncalves, Gloria, Tiago Oliveira, and Frederico Cruz-Jesus. 2018. “Understanding Individual-Level Digital Divide: Evi- dence of an African Country.” Computers in Human Behavior 87 (October): 276–291. doi:10.1016/j.chb.2018.05.039.
Hong, Weiyin, Frank K. Y. Chan, James Y. L. Thong, Lewis C. Chasalow, and Gurpreet Dhillon. 2013. “A Framework and Guidelines for Context-Specific Theorizing in Informa- tion Systems Research.” Information Systems Research 25 (1): 111–136. doi:10.1287/isre.2013.0501.
Ivanov, Dmitry, Christopher S. Tang, Alexandre Dolgui, Daria Battini, and Ajay Das. 2021. “Researchers’ Per- spectives on Industry 4.0: Multi-Disciplinary Analysis and Opportunities for Operations Management.” Interna- tional Journal of Production Research 59 (7): 2055–2078. doi:10.1080/00207543.2020.1798035.
Karakas, Serkan, Avni Zafer Acar, and Berk Kucukaltan. 2021. “Blockchain Adoption in Logistics and Supply Chain: A Literature Review and Research Agenda.” International Journal of Production Research, doi:10.1080/00207543.2021. 2012613/FORMAT/EPUB.
Kumar, Subodha, Vijay Mookerjee, and Abhinav Shubham. 2018. “Research in Operations Management and Informa- tion Systems Interface.” Production and Operations Manage- ment 27 (11): 1893–1905. doi:10.1111/poms.12961.
Lohmer, Jacob, and Rainer Lasch. 2020. “Blockchain in Oper- ations Management and Manufacturing: Potential and Bar- riers.” Computers & Industrial Engineering 149: 106789. doi:10.1016/j.cie.2020.106789.
Martins, Carolina, Tiago Oliveira, and Aleš Popovič. 2014. “Understanding the Internet Banking Adoption: A Unified Theory of Acceptance and Use of Technology and Perceived Risk Application.” International Journal of Information Man- agement 34 (1): 1–13. doi:10.1016/j.ijinfomgt.2013.06.002.
Maruping, Likoebe M., Hillol Bala, Viswanath Venkatesh, and Susan A. Brown. 2017. “Going Beyond Intention: Integrating Behavioral Expectation Into the Unified Theory of Accep- tance and Use of Technology.” Journal of the Association for Information Science and Technology 68 (3): 623–637. doi:10.1002/asi.23699.
Mathivathanan, Deepak, K. Mathiyazhagan, Nripendra P. Rana, Sangeeta Khorana, and Yogesh K. Dwivedi. 2021. “Bar- riers to the Adoption of Blockchain Technology in Business Supply Chains: A Total Interpretive Structural Modelling (TISM) Approach.” International Journal of Production Research 59 (11): 3338–3359. doi:10.1080/00207543.2020.1868597.
Morris, Michael G., and Viswanath Venkatesh. 2000. “Age Dif- ferences in Technology Adoption Decisions: Implications for a Changing Work Force.” Personnel Psychology 53 (2): 375–403. doi:10.1111/j.1744-6570.2000.tb00206.x.
Pun, Hubert, Jayashankar M. Swaminathan, and Pengwen Hou. 2021. “Blockchain Adoption for Combating Deceptive Counterfeits.” Production and Operations Management 30(4): 864–882. doi:10.1111/poms.13348.
Queiroz, Maciel M., and Samuel Fosso Wamba. 2019. “Block chain Adoption Challenges in Supply Chain: An Empirical Investigation of the Main Drivers in India and the USA.” International Journal of Information Management 46: 70–82. doi:10.1016/j.ijinfomgt.2018.11.021.
Rogers, Everett. 1995. Diffusion of Innovations, Fourth Edition. Ann Arbor, MI: Elements of Diffusion.
Roh, Yuji, Geon Heo, and Steven Euijong Whang. 2021. “A Survey on Data Collection for Machine Learning: A Big Data – AI Integration Perspective.” IEEE Transactions on Knowledge and Data Engineering 33 (4): 1328–1347. doi:10.1109/TKDE.2019.2946162.
Schuetz, Sebastian, and Viswanath Venkatesh. 2020a. “Block chain, Adoption, and Financial Inclusion in India: Research Opportunities.” International Journal of Information Man- agement 52: 101936. doi:10.1016/j.ijinfomgt.2019.04.009.
Schuetz, Sebastian, and Viswanath Venkatesh. 2020b. “The Rise of Human Machines: How Cognitive Computing Systems Challenge Assumptions of User-System Interaction.” Journal of the Association for Information Systems 21 (2): 460–482. doi:10.17705/1jais.00608.
Sharma, Rohit, Anjali Shishodia, Angappa Gunasekaran, Hokey Min, and Ziaul Haque Munim. 2022. “The Role of Artificial Intelligence in Supply Chain Management: Mapping the Territory.” International Journal of Production Research 60 (24): 7527–7550. doi:10.1080/00207543.2022.2029611.
Sodhi, Man Mohan S., Zahra Seyedghorban, Hossein Taherne- jad, and Danny Samson. 2022. “Why Emerging Supply Chain Technologies Initially Disappoint: Blockchain, IoT, and AI.” Production and Operations Management 31 (6): 2517–2537. doi:10.1111/poms.13694.
Stewart, Greg L., Stacy L. Astrove, Cody J. Reeves, Eean R. Crawford, and Samantha L. Solimeo. 2017. “Those with the Most Find It Hardest to Share: Exploring Leader Resis- tance to the Implementation of Team-Based Empower- ment.” Academy of Management Journal 60 (6): 2266–2293. doi:10.5465/amj.2015.1173.
Taylor, Shirley, and Peter Todd. 1995. “Assessing IT Usage: The Role of Prior Experience.” MIS Quarterly 19 (4): 561–570. doi:10.2307/249633.
Tian, Xin, Jiayi Zhu, Xuan Zhao, and Junfeng Wu. 2022. “Improving Operational Efficiency Through Blockchain: Evidence from a Field Experiment in Cross-Border Trade.” Production Planning & Control. doi:10.1080/09537287.2022. 2058412. Production Planning & Control. doi:10.1080/09537287.2022. 2058412.
Tokkozhina, Ulpan, Ana Lucia Martins, and Joao C. Ferreira. 2022. “Uncovering Dimensions of the Impact of Blockchain Technology in Supply Chain Management.” Operations Management Research. doi:10.1007/s12063-022-00273-9.
Tönnissen, Stefan, and Frank Teuteberg. 2020. “Analysing the Impact of Blockchain-Technology for Operations and Sup- ply Chain Management: An Explanatory Model Drawn from Multiple Case Studies.” International Journal of Information Management 52: 101953. doi:10.1016/j.ijinfomgt.2019.05.009.
Triandis, H. C. 1977. Interpersonal Behavior. Monterey, CA: Brooks/Cole Publishing Company.
Vaithilingam, Santha, Mahendhiran Nair, Mary Macharia, and Viswanath Venkatesh. 2022. “Mobile Communica- tion and Use Behavior of the Urban Poor in a Devel- oping Country: A Field Study in Malaysia.” International Journal of Information Management 63 (April): 102440. doi:10.1016/j.ijinfomgt.2021.102440.
Venkatesh, Viswanath. 1999. “Creation of Favorable User Per- ceptions: Exploring the Role of Intrinsic Motivation.” MIS Quarterly 23 (2): 239–260. doi:10.2307/249753.
Venkatesh, Viswanath. 2022. “Adoption and Use of AI Tools: A Research Agenda Grounded in UTAUT.” Annals of Oper- ations Research 308 (1–2): 641–652. doi:10.1007/s10479-020-03918-9.
Venkatesh, Viswanath, John A. Aloysius, Hartmut Hoehle, and Scot Burton. 2017. “Design and Evaluation of Auto-ID Enabled Shopping Assistance Artifacts in Customers’ Mobile Phones: Two Retail Store Laboratory Experiments.” MIS Quarterly 41 (1): 83–113. doi:10.25300/MISQ/2017/41.1.05.
Venkatesh, Viswanath, and Hillol Bala. 2008. “Technology Acceptance Model 3 and a Research Agenda on Inter- ventions.” Decision Sciences 39 (2): 273–315. doi:10.1111/j. 1540-5915.2008.00192.x.
Venkatesh, Viswanath, Susan A. Brown, and Hillol Bala. 2013. “Bridging the Qualitative-Quantitative Divide: Guidelines for Conducting Mixed Methods Research in Information Systems.” MIS Quarterly 37 (1): 21–54. doi:10.25300/MISQ/ 2013/37.1.02.
Venkatesh, Viswanath, Susan A. Brown, and Yulia W. Sul- livan. 2016. “Guidelines for Conducting Mixed-Methods Research: An Extension and Illustration.” Journal of the Association for Information Systems 17 (7): 435–495. doi:10. 17705/1jais.00433.
Venkatesh, Viswanath, and Michael G. Morris. 2000. “Why Don’t Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Accep- tance and Usage Behavior.” MIS Quarterly 24 (1): 115–136. doi:10.2307/3250981.
Venkatesh, Viswanath, Michael G. Morris, Gordon B. Davis, and Fred D. Davis. 2003. “User Acceptance of Information Technology: Toward a Unified View.” MIS Quarterly 27 (3): 425–478. doi:10.2307/30036540.
Venkatesh, Viswanath, James Y. L. Thong, and Xin Xu. 2012. “Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology.” MIS Quarterly 36 (1): 157–178. doi:10.2307/41410412.
Venkatesh, Viswanath, James Y. L. Thong, and Xin Xu. 2016. “Unified Theory of Acceptance and Use of Tech- nology: A Synthesis and the Road Ahead.” Journal of the Association for Information Systems 17 (5): 328–376. doi:10.17705/1jais.00428.
Wamba-Taguimdje, Serge Lopez, Samuel Fosso Wamba, Jean Robert Kala Kamdjoug, and Chris Emmanuel Tchatchouang Wanko. 2020. “Influence of Artificial Intelligence (AI) on Firm Performance: The Business Value of AI-Based Transformation Projects.” Business Process Management Journal 26 (7): 1893–1924. doi:10.1108/BPMJ-10-2019-0411.
Wamba, Samuel Fosso, and Maciel M. Queiroz. 2020. “Block chain in the Operations and Supply Chain Management: Benefits, Challenges and Future Research Opportunities.” International Journal of Information Management 52 (June): 102064. doi:10.1016/j.ijinfomgt.2019.102064.
Wong, Lai Wan, Garry Wei Han Tan, Voon Hsien Lee, Keng Boon Ooi, and Amrik Sohal. 2020. “Unearthing the Deter- minants of Blockchain Adoption in Supply Chain Manage- ment.” International Journal of Production Research 58 (7): 2100–2123. doi:10.1080/00207543.2020.1730463.
Zhang, Xiaojun, and Viswanath Venkatesh. 2017. “A Nomo- logical Network of Knowledge Management System Use: Antecedents and Consequences.” MIS Quarterly 41 (4): 1275–1306. doi:10.25300/MISQ/2017/41.4.12.
Zhang, Xiaojun, and Viswaneth Venkatesh. 2018. “From Design Principles to Impacts: A Theoretical Framework and Research Agenda.” AIS Transactions on Human-Computer Interaction 10 (2): 105–128. doi:10.17705/1thci.00106.
Zhang, Xiaojun, Viswanath Venkatesh, and Susan A. Brown. 2011. “Designing Collaborative Systems to Enhance Team Performance.” Journal of the Association for Information Sys- tems 12 (8): 556–584. doi:10.17705/1jais.00273.
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