View Item 

Show simple item record

Putting humans back in the loop: An affordance conceptualization of the 4th industrial revolution
dc.contributor.authorMelville, Nigel P.
dc.contributor.authorRobert, Lionel
dc.contributor.authorXiao, Xiao
dc.date.accessioned2023-07-14T13:55:23Z
dc.date.available2024-08-14 09:55:21en
dc.date.available2023-07-14T13:55:23Z
dc.date.issued2023-07
dc.identifier.citationMelville, Nigel P.; Robert, Lionel; Xiao, Xiao (2023). "Putting humans back in the loop: An affordance conceptualization of the 4th industrial revolution." Information Systems Journal 33(4): 733-757.
dc.identifier.issn1350-1917
dc.identifier.issn1365-2575
dc.identifier.urihttps://hdl.handle.net/2027.42/177231
dc.description.abstractThe current technology epoch—sometimes called the fourth industrial revolution (4IR)—involves the innovative application of rapidly advancing digital technologies such as artificial intelligence. Societal implications of the 4IR are significant and wide-ranging, from life-saving drug development to privacy loss and app addiction. A review of the information systems literature, however, reveals a narrow focus on technology-enabled business benefits. Scant research attention has been paid to the role of humans and humanistic outcomes. To spur new research addressing these issues, formalised affordance theory is employed to develop a new 4IR conceptualization. Four groupings of affordances that capture salient 4IR action possibilities are developed within two categories: machine emulation of human cognition (expansive decision-making and creativity automation) and machine emulation of human communication (relationship with humans and intermachine teaming). Implications are explored in the context of human-machine coworking and the development of artificial intelligence safety regulations. Overall, the affordance conceptualization of the 4IR advances a new sociotechnical lexicon of action possibilities and their joint enactment in achieving humanistic and instrumental outcomes, enabling alignment of the scope of 4IR research with the scope of 4IR phenomena—and bringing humans back into the loop.
dc.publisherJohn Wiley & Sons, Inc.
dc.subject.othersociotechnical theory
dc.subject.otherfourth industrial revolution
dc.subject.otherartificial intelligence
dc.subject.otheraffordance theory
dc.titlePutting humans back in the loop: An affordance conceptualization of the 4th industrial revolution
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelComputer Science
dc.subject.hlbtoplevelEngineering
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/177231/1/isj12422.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/177231/2/isj12422_am.pdf
dc.identifier.doi10.1111/isj.12422
dc.identifier.sourceInformation Systems Journal
dc.identifier.citedreferenceRombach, R., Blattmann, A., Lorenz, D., Esser, P., & Ommer, B. ( 2022 ). High-resolution image synthesis with latent diffusion models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 10684–10695.
dc.identifier.citedreferenceSterman, J. D. ( 2001 ). System dynamics modeling: Tools for learning in a complex world. California Management Review, 43 ( 4 ), 8 – 28.
dc.identifier.citedreferenceStoffregen, T. A. ( 2003 ). Affordances as properties of the animal- environment system. Ecological Psychology, 15 ( 2 ), 115 – 134.
dc.identifier.citedreferenceStrich, F., Mayer, A.-S., & Fiedler, M. ( 2021 ). What do I do in a world of artificial intelligence? Investigating the impact of substitutive decision-making AI systems on employees’ professional role identity. Journal of the Association for Information Systems, 22 ( 2 ), 9.
dc.identifier.citedreferenceSun, Z., Wang, Y., & Zhou, W. ( 2019 ). Generating diverse and accurate captions based on generative adversarial network. In Proceedings of the 2019 IEEE 4th International Conference on Image, Vision and Computing (ICIVC), pp. 331–335.
dc.identifier.citedreferenceTedlow, R. S. ( 2001 ). Giants of Enterprise: Seven Business Innovators and the Empires They Built. HarperBusiness.
dc.identifier.citedreferenceTemplier, M., & Paré, G. ( 2017 ). Transparency in literature reviews: An assessment of reporting practices across review types and genres in top IS journals. European Journal of Information Systems, 27 ( 5 ), 1 – 48.
dc.identifier.citedreferenceVaast, E., Safadi, H., Lapointe, L., & Negoita, B. ( 2017 ). Social media affordances for connective action: An examination of microblogging use during the gulf of Mexico oil spill. MIS Quarterly, 41 ( 4 ), 1179 – 1205.
dc.identifier.citedreferenceVolkoff, O., & Strong, D. M. ( 2017 ). Affordance theory and how to use it in IS research. In U. K. Milton (Ed.), Routledge Handbooks Online (pp. 232 – 245 ). Taylor and Francis.
dc.identifier.citedreferencevom Brocke, J., Maaß, W., Buxmann, P., Maedche, A., Leimeister, J. M., & Pecht, G. ( 2018 ). Future work and enterprise systems. Business & Information Systems Engineering, 60 ( 4 ), 357 – 366.
dc.identifier.citedreferenceWache, H., & Dinter, B. ( 2020 ). The digital twin – Birth of an integrated system in the digital age. In Proceedings of the 53rd Hawaii International Conference on System Sciences, pp. 5452–5461.
dc.identifier.citedreferenceWagner, K., Nimmermann, F., & Schramm-Klein, H. ( 2019 ). Is it human? The role of anthropomorphism as a driver for the successful acceptance of digital voice assistants. In Proceedings of the 52nd HICSS.
dc.identifier.citedreferenceWallace, N. ( 2020 ). Europe plans to strictly regulate high-risk AI technology. Science. https://doi.org/10.1126/science.abb3741
dc.identifier.citedreferenceWatson, H. J., & Nations, C. ( 2019 ). Addressing the growing need for algorithmic transparency. Communications of the Association for Information Systems, 45 ( 1 ), 26.
dc.identifier.citedreferenceWeking, J., Stocker, M., Kowalkiewicz, M., Bohm, M., & Krcmar, H. ( 2018 ). Archetypes for industry 4.0 business model innovations. In Proceedings of the 24th AMCIS, Association for Information Systems (AIS), pp. 1–10.
dc.identifier.citedreferenceWichmann, R. L., Eisenbart, B., & Gericke, K. ( 2019 ). The direction of industry: A literature review on industry 4.0. Proceedings of the International Conference on Engineering Design, 1 ( 1 ), 2129 – 2138.
dc.identifier.citedreferenceWulf, J., & Blohm, I. ( 2017 ). Service innovation through application programming interfaces - towards a typology of service designs. In Proceedings of ICIS 2017.
dc.identifier.citedreferenceYang, F., & Peters, C. ( 2019 ). AppGAN: Generative adversarial networks for generating robot approach behaviors into small groups of people. In 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). pp. 1–8.
dc.identifier.citedreferenceYou, S., & Robert, L. ( 2018 ). Emotional attachment, performance, and viability in teams collaborating with embodied physical action (EPA) robots. Journal of the Association for Information Systems, 19 ( 5 ), 377 – 407.
dc.identifier.citedreferenceYou, S., & Robert, L. P. ( 2022 ). Team robot identification theory (TRIT): Robot attractiveness and team identification on performance and viability in human–robot teams. The Journal of Supercomputing, 78, 19684 – 19706.
dc.identifier.citedreferenceZhang, C., Chen, Y., Chen, H., & Chong, D. ( 2021 ). Industry 4.0 and its implementation: A review. Information Systems Frontiers.
dc.identifier.citedreferenceZuboff, S. ( 1988 ). In the Age of the Smart Machine: The Future of Work and Power. Basic Books.
dc.identifier.citedreferenceAggarwal, R., Sounderajah, V., Martin, G., Ting, D. S. W., Karthikesalingam, A., King, D., Ashrafian, H., & Darzi, A. ( 2021 ). Diagnostic accuracy of deep learning in medical imaging: A systematic review and meta-analysis. NPJ Digital Medicine, 4 ( 1 ), 65.
dc.identifier.citedreferenceAlavi, M. ( 1988 ). Panel 4 - organizational transformation in the information age. In ICIS 1988 Proceedings.
dc.identifier.citedreferenceAlter, S. ( 1977 ). A taxonomy of decision support systems. Sloan Management Review, 19 ( 1 ), 39 – 56.
dc.identifier.citedreferenceAlvesson, M., & Sandberg, J. ( 2011 ). Generating research questions through problematization. Academy of Management Review, 36 ( 2 ), 247 – 271.
dc.identifier.citedreferenceAndrade, C., Costa, C., Santos, M., & Correia, J. ( 2019 ). Intelligent event broker: A complex event processing system in big data contexts. In AMCIS 2019 Proceedings.
dc.identifier.citedreferenceAvison, D., Bjørn-Andersen, N., Coakes, E., Davis, G. B., Earl, M. J., Elbanna, A., Fitzgerald, G., Galliers, R. D., Hirschheim, R., Iivari, J., Klein, H. K., Land, F., de Marco, M., Pettigrew, A. M., Porra, J., Stahl, B. C., Sørensen, C., Wood, B., & Wood-Harper, T. ( 2006 ). Enid Mumford: A tribute. Information Systems Journal, 16 ( 4 ), 343 – 382.
dc.identifier.citedreferenceBarata, J., & Cunha, P. R. ( 2018 ). Understanding Sociomaterial transformations in industry 4.0: An action research study.” In ICIS 2018 Proceedings.
dc.identifier.citedreferenceBeath, C., Berente, N., Gallivan, M., & Lyytinen, K. ( 2013 ). Expanding the frontiers of information systems research: Introduction to the special issue. Journal of the Association for Information Systems, 14 ( 4 ), XIII – XVI.
dc.identifier.citedreferenceBednar, P. M., & Welch, C. ( 2020 ). Socio-technical perspectives on smart working: Creating meaningful and sustainable systems. Information Systems Frontiers, 22 ( 2 ), 281 – 298.
dc.identifier.citedreferenceBem, R. D., Ghosh, A., Boukhayma, A., Ajanthan, T., Siddharth, N., & Torr, P. ( 2019 ). A conditional deep generative model of people in natural images. In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 1449–1458.
dc.identifier.citedreferenceBernardi, R., & Sarker, S. ( 2019 ). The role of affordances in the deinstitutionalization of a dysfunctional health management information system in Kenya: An identity work perspective. MIS Quarterly, 43 ( 4 ), 1177 – 1200.
dc.identifier.citedreferenceBordeleau, F., & Felden, C. ( 2019 ). Digitally transforming organisations: A review of change models of industry 4.0. In Proceedings of ECIS 27.
dc.identifier.citedreferenceBordeleau, F., Mosconi, E., & Santa-Eulalia, L. A. ( 2018 ). Business intelligence in industry 4.0: State of the art and research opportunities. In Proceedings of the 51st HICSS.
dc.identifier.citedreferenceBostrom, R. P., Gupta, S., & Thomas, D. ( 2009 ). A meta-theory for understanding information systems within sociotechnical systems. Journal of Management Information Systems, 26 ( 1 ), 17 – 48.
dc.identifier.citedreferenceBostrom, R. P., & Heinen, S. J. ( 1977 ). MIS problems and failures: A socio-technical perspective. Part I: The causes. MIS Quarterly, 1 ( 3 ), 17 – 32.
dc.identifier.citedreferenceBrittain, M. W. ( 2021 ). Learning-based decision making for safe and scalable autonomous separation assurance. Iowa State University.
dc.identifier.citedreferenceBryson. ( 2022 ). Europe is in danger of using the wrong definition of AI. https://www.wired.com/story/artificial-intelligence-regulation-european-union/
dc.identifier.citedreferenceCalandrillo, S. ( 2001 ). Responsible regulation: A sensible cost-benefit, risk vs. risk approach to Federal Health and safety regulation. Boston University Law Review, 81 ( 5 ), 957 – 1032.
dc.identifier.citedreferenceCar, L. T., Dhinagaran, D. A., Kyaw, B. M., Kowatsch, T., Joty, S., Theng, Y.-L., & Atun, R. ( 2020 ). Conversational agents in health care: Scoping review and conceptual analysis. Journal of Medical Internet Research, 22 ( 8 ), e17158.
dc.identifier.citedreferenceChaillou, S. ( 2020 ). ArchiGAN: Artificial intelligence X architecture. In P. F. Yuan, M. Xie, N. Leach, J. Yao, & X. Wang (Eds.), Architectural Intelligence: Selected Papers from the 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2019) (pp. 117 – 127 ). Springer Singapore.
dc.identifier.citedreferenceChatterjee, S., & Davison, R. M. ( 2021 ). The need for compelling Problematisation in research: The prevalence of the gap-spotting approach and its limitations. Information Systems Journal, 31 ( 2 ), 227 – 230.
dc.identifier.citedreferenceChemero, A. ( 2003 ). An outline of a theory of affordances. Ecological Psychology, 15 ( 2 ), 181 – 195.
dc.identifier.citedreferenceChen, M., Tworek, J., Jun, H., Yuan, Q., de Oliveira Pinto, H. P., Kaplan, J., Edwards, H., Burda, Y., Joseph, N., Brockman, G., Ray, A., Puri, R., Krueger, G., Petrov, M., Khlaaf, H., Sastry, G., Mishkin, P., Chan, B., Gray, S., … Zaremba, W. ( 2021 ). Evaluating large language models trained on code. arXiv [cs.LG]. http://arxiv.org/abs/2107.03374
dc.identifier.citedreferenceCiarli, T., Kenney, M., Massini, S., & Piscitello, L. ( 2021 ). Digital technologies, innovation, and skills: Emerging trajectories and challenges. Research Policy, 50 ( 7 ), 1 – 10.
dc.identifier.citedreferenceConfessore, N., & Hakim, D. ( 2017 ). Bold promises fade to doubts for a trump-linked data firm. New York Times. https://www.nytimes.com/2017/03/06/us/politics/cambridge-analytica.html
dc.identifier.citedreferenceCooke, N. J., Blandford, R. D., Cummings, J., Fiore, S. M., Hall, K. L., Jackson, J. S., King, J. L., Kozlowski, S. W. J., Olson, J. S., Sabloff, J. A., Stokols, D. S., Uzzi, B., & Valantine, H. ( 2015 ). Overview of the research on team effectiveness. In N. J. Cooke & M. L. Hilton (Eds.), Enhancing the Effectiveness of Team Science (pp. 59 – 79 ). National Academies Press (US).
dc.identifier.citedreferenceCutler, A., Pribić, M., Humphrey, L., Rossi, F., Sekaran, A., Spohrer, J., & Caruthers, R. ( 2019 ). Everyday ethics for artificial intelligence. IBM. https://www.ibm.com/watson/assets/duo/pdf/everydayethics.pdf
dc.identifier.citedreferenceDaglarli, E. ( 2021 ). Explainable artificial intelligence (xAI) approaches and deep meta-learning models for cyber-physical systems. Advances in Systems Analysis, Software Engineering, and High Performance Computing, 42 – 67. https://doi.org/10.4018/978-1-7998-5101-1.ch003
dc.identifier.citedreferenceDavis, G. B., Lee, A. S., Nickles, K. R., Chatterjee, S., Hartung, R., & Wu, Y. ( 1992 ). Diagnosis of an information system failure: A framework and interpretive process. Information & Management, 23 ( 5 ), 293 – 318.
dc.identifier.citedreferenceDempsey, P. S. ( 2017 ). The regulation of international aviation safety. SSRN. Public International Air Law. https://papers.ssrn.com/abstract=3295935
dc.identifier.citedreferenceDiederich, S., Brendel, A. B., Lichtenberg, S., & Kolbe, L. ( 2019 ). Design for fast request fulfillment or natural interaction? Insights from an experiment with a conversational agent. In Proceedings of the 27th ECIS. Research papers.
dc.identifier.citedreferenceDoctorow, C. ( 2021 ). With great Power comes great responsibility: Platforms want to Be utilities, self-govern like empires. EFF. https://www.eff.org/deeplinks/2021/08/utilities-governed-empires
dc.identifier.citedreferenceEC. ( 2021 ). Proposal for a regulation of the European Parliament and of the Council Laying Down Harmonised Rules on Artificial Intelligence (Artificial Intelligence Act) and Amending Certain Union Legislative Acts.
dc.identifier.citedreferenceEdmondson, A. C. ( 2012 ). Teaming: How Organizations Learn, Innovate, and Compete in the Knowledge Economy. John Wiley & Sons.
dc.identifier.citedreferenceEdwards, C. ( 2021 ). The best of NLP. Communications of the ACM, 64 ( 4 ), 9 – 11.
dc.identifier.citedreferenceEngelmann, A., & Schwabe, G. ( 2018 ). Enabling workers to enter industry 4.0: A layered Mobile learning architecture. In Proceedings of the 51st HICSS.
dc.identifier.citedreferenceEvans, P. C., & Basole, R. C. ( 2016 ). Revealing the API ecosystem and ekahnterprise strategy via visual analytics. Communications of the ACM, 59 ( 2 ), 26 – 28.
dc.identifier.citedreferenceFay, M., & Kazantsev, N. ( 2018 ). When smart gets smarter: How big data analytics creates business value in smart manufacturing. In Proceedings of 2018 ICIS.
dc.identifier.citedreferenceFayard, A.-L., & Weeks, J. ( 2014 ). Affordances for practice. Information and Organization, 24 ( 4 ), 236 – 249.
dc.identifier.citedreferenceFleming, P. ( 2019 ). Robots and organization studies: Why robots might not want to steal your job. Organization Studies, 40 ( 1 ), 23 – 38.
dc.identifier.citedreferenceFrench, A., Shim, J. P., Risius, M., Larsen, K. R., & Jain, H. ( 2021 ). The 4th industrial revolution powered by the integration of AI, Blockchain, and 5G. Communications of the AIS, 49 ( 1 ), 266 – 286.
dc.identifier.citedreferenceFügener, A., Grahl, J., Gupta, A., & Ketter, W. ( 2021 ). Will humans-in-the-loop become Borgs? Merits and pitfalls of working with AI. MIS Quarterly, 45 ( 3b ), 1527 – 1556.
dc.identifier.citedreferenceGärtler, M., & Schmidt, B. ( 2021 ). Practical challenges of virtual assistants and voice interfaces in industrial applications. In Proceedings of the 54th HICSS.
dc.identifier.citedreferenceGeißler, A., Häckel, B., Übelhör, J., & Voit, C. ( 2019 ). Structuring the anticipated benefits of the fourth industrial revolution. In Proceedings of the 2019 AMCIS.
dc.identifier.citedreferenceGelderblom, O., & Trivellato, F. ( 2019 ). The business history of the preindustrial world: Towards a comparative historical analysis. Business History, 61 ( 2 ), 225 – 259.
dc.identifier.citedreferenceGibson, J. J. ( 1979 ). The Ecological Approach to Visual Perception (p. 332 ). Houghton Mifflin Harcourt (HMH).
dc.identifier.citedreferenceGozman, D., Butler, T., & Lyytinen, K. ( 2020 ). Call for papers - regulation in the age of digitalization. Journal of Information Technology (Call for Papers), 35, 1 – 5.
dc.identifier.citedreferenceGriffin, E. ( 2013 ). Liberty’s Dawn: A People’s History of the Industrial Revolution. Yale University Press.
dc.identifier.citedreferenceGunning, D., & Aha, D. ( 2019 ). DARPA’s explainable artificial intelligence (XAI) program. AI Magazine, 40, 44 – 58.
dc.identifier.citedreferenceHinchliffe, E. ( 2021 ). Alphabet taps Wendy Tan white as CEO of new robotics company intrinsic. Fortune. https://fortune.com/2021/07/23/wendy-tan-white-ceo-intrinsic-alphabet/
dc.identifier.citedreferenceHuang, Z., Chen, H. C., Hsu, C. J., Chen, W. H., & Wu, S. S. ( 2004 ). Credit rating analysis with support vector machines and neural networks: A market comparative study. Decision Support Systems, 37 ( 4 ), 543 – 558.
dc.identifier.citedreferenceHussain, F., Hussain, R., Noye, B., & Sharieh, S. ( 2020 ). Enterprise API security and GDPR compliance: Design and implementation perspective. IT Professional, 22 ( 5 ), 81 – 89.
dc.identifier.citedreferenceIswaran, S. ( 2020 ). Model Artificial Intelligence Governance Framework (second Edition). https://www.pdpc.gov.sg/-/media/files/pdpc/pdf-files/resource-for-organisation/ai/sgmodelaigovframework2.ashx
dc.identifier.citedreferenceJanhofer, D., Barann, B., Cordes, A.-K., & Becker, J. ( 2020 ). Mastering omni-channel retailing challenges with industry 4.0 concepts. In Proceedings of the 53rd HICSS.
dc.identifier.citedreferenceJensen, T., Hedman, J., & Henningsson, S. ( 2019 ). How tradeLens delivers business value with blockchain technology. MIS Quarterly Executive, 18 ( 4 ), 221 – 243.
dc.identifier.citedreferenceJohnson, D. G., & Diakopoulos, N. ( 2021 ). What to do about deepfakes. Communications of the ACM, 64 ( 3 ), 33 – 35.
dc.identifier.citedreferenceKarahanna, E., Xu, S. X., Xu, Y., & Zhang, N. ( 2018 ). The needs–affordances–features perspective for the use of social media. MIS Quarterly, 42 ( 3 ), 737 – 756.
dc.identifier.citedreferenceKassner, L., Hirmer, P., Wieland, M., Steimle, F., Königsberger, J., & Mitschang, B. ( 2017 ). The social factory: Connecting people, machines and data in manufacturing for context-aware exception escalation. In Proceedings of the 50th HICSS.
dc.identifier.citedreferenceKaur, J., & Kaur, P. D. ( 2018 ). CE-GMS: A cloud IoT-enabled grocery management system. Electronic Commerce Research and Applications, 28, 63 – 72.
dc.identifier.citedreferenceKeen, P. ( 1981 ). Information systems and organizational change. Communications of the ACM, 24 ( 1 ), 24 – 33.
dc.identifier.citedreferenceKhailany, B., Ren, H., Dai, S., Godil, S., Keller, B., Kirby, R., Klinefelter, A., Venkatesan, R., Zhang, Y., Catanzaro, B., & Dally, W. J. ( 2020 ). Accelerating chip design with machine learning. IEEE Micro, 40 ( 6 ), 23 – 32.
dc.identifier.citedreferenceKling, R. ( 1980 ). Social analysis of computing: Theoretical perspectives in recent empirical research. Computing Surveys, 12 ( 1 ), 61 – 110.
dc.identifier.citedreferenceLasi, H., Fettke, P., Kemper, H.-G., Feld, T., & Hoffmann, M. ( 2014 ). Industry 4.0. Business & Information Systems Engineering, 6 ( 4 ), 239 – 242.
dc.identifier.citedreferenceLee, A. S., Thomas, M., & Baskerville, R. L. ( 2015 ). Going back to basics in design science: From the information technology artifact to the information systems artifact. Information Systems Journal, 25 ( 1 ), 5 – 21.
dc.identifier.citedreferenceLeidner, D., Tona, O., Wixom, B. H., & Someh, I. ( 2021 ). Putting dignity at the Core of employee data use. MIT Sloan Management, 63 (1), 1–7.
dc.identifier.citedreferenceLongo, F., Padovano, A., & Umbrello, S. ( 2020 ). Value-oriented and ethical technology engineering in industry 5.0: A human-centric perspective for the design of the factory of the future. Applied Sciences, 10 ( 12 ), 4182.
dc.identifier.citedreferenceLou, B., & Wu, L. ( 2021 ). AI on drugs: Can artificial intelligence accelerate drug development? Evidence from a large-scale examination of bio-pharma firms. MIS Quarterly, 45 ( 3 ), 1451 – 1482.
dc.identifier.citedreferenceLowry, P. B., Moody, G. D., Gaskin, J., Galletta, D. F., Humpherys, S. L., Barlow, J. B., & Wilson, D. W. ( 2013 ). Evaluating journal quality and the association for information systems senior Scholars’ journal basket via bibliometric measures: Do expert journal assessments add value? MIS Quarterly, 37 ( 4 ), 993 – 1012.
dc.identifier.citedreferenceMaas, M. M. ( 2022 ). Aligning AI regulation to sociotechnical change. In J. Bullock, B. Zhang, Y.-C. Chen, J. Himmelreich, M. Young, A. Korinek, & V. Hudson (Eds.), Oxford Handbook on AI Governance. Oxford University Press.
dc.identifier.citedreferenceMallat, N., Tuunainen, V., & Wittkowski, K. ( 2017 ). Voice activated personal assistants – Consumer use contexts and usage behavior. In Proceedings of AMCIS 2017.
dc.identifier.citedreferenceMalope, T., Van Der Poll, J. A., & Ncube, O. ( 2021 ). Digitalisation practices in south-African state-owned enterprises: A framework for rapid adoption of digital solutions. In Proceedings of the 54th HICSS.
dc.identifier.citedreferenceMantello, P., Ho, M.-T., Nguyen, M.-H., & Vuong, Q.-H. ( 2021 ). Bosses without a heart: Socio-demographic and cross-cultural determinants of attitude toward emotional AI in the workplace. AI & Society.
dc.identifier.citedreferenceManzoni, M., Medaglia, R., Tangi, L., Van Noordt, C., Vaccari, L., & Gattwinkel, D. ( 2022 ). Al watch - road to the adoption of artificial intelligence by the public sector: A handbook for policymakers, public administrations and relevant stakeholders. European Commission.
dc.identifier.citedreferenceMarcos, M. P., Luis Pitarch, J., & de Prada, C. ( 2020 ). Decision support system for a heat-recovery section with equipment degradation. Decision Support Systems, 137, 1 – 10.
dc.identifier.citedreferenceMargherita, E. G., & Braccini, A. M. ( 2020 ). Industry 4.0 technologies in flexible manufacturing for sustainable organizational value: Reflections from a multiple case study of Italian manufacturers. Information Systems Frontiers.
dc.identifier.citedreferenceMelville, N., & Kohli, R. ( 2021a ). Roadblocks to implementing modern digital infrastructure: Exploratory study of API deployment in large organizations. In Proceedings of the 2021 HICSS, pp. 1–10.
dc.identifier.citedreferenceMelville, N., & Kohli, R. ( 2021b ). Models for API value generation. MIS Quarterly Executive, 20 ( 2 ), 6.
dc.identifier.citedreferenceMesgari, M., Mohajeri, K., & Azad, B. ( 2021 ). Affordances and information systems research: Taking stock and moving forward. The Data Base for Advances in Information Systems (in press).
dc.identifier.citedreferenceMingers, J., & Walsham, G. ( 2010 ). Toward ethical information systems: The contribution of discourse ethics. MIS Quarterly, 34 ( 4 ), 833 – 854.
dc.identifier.citedreferenceMitchell, M. ( 2021 ). Abstraction and analogy-making in artificial intelligence. Annals of the New York Academy of Sciences.
dc.identifier.citedreferenceMu, D. ( 2022 ). Credit card fraud intelligent detection based on machine learning. In Proceedings of 2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA).
dc.identifier.citedreferenceMumford, E. ( 2006 ). The story of socio-technical design: Reflections on its successes, failures and potential. Information Systems Journal, 16 ( 4 ), 317 – 342.
dc.identifier.citedreferenceNorman, D. A. ( 1988 ). The Psychology of Everyday Things. Basic Books.
dc.identifier.citedreferenceObinali, C. ( 2019 ). The perception of gender in voice assistants. Perception, 3, 22 – 2019.
dc.identifier.citedreferenceOstermeier, B. ( 2021 ). The Art Institute of Chicago Launches Public API. University of Illinois Urbana-Champaign. https://publish.illinois.edu/commonsknowledge/2021/02/04/the-art-institute-of-chicago-launches-public-api/
dc.identifier.citedreferencePare, G., Trudel, M.-C., Jaana, M., & Kitsiou, S. ( 2015 ). Synthesizing information systems knowledge: A typology of literature reviews. Information & Management, 52 ( 2 ), 183 – 199.
dc.identifier.citedreferencePark, B. J., & Han, J. S. ( 2016 ). Efficient decision support for detecting content polluters on social networks: An approach based on automatic knowledge acquisition from behavioral patterns. Information Technology and Management, 17 ( 1 ), 95 – 105.
dc.identifier.citedreferencePauli, T., Fielt, E., & Matzner, M. ( 2021 ). Digital industrial platforms. Business & Information Systems Engineering, 63 ( 2 ), 181 – 190.
dc.identifier.citedreferencePiccarozzi, M., Aquilani, B., & Gatti, C. ( 2018 ). Industry 4.0 in management studies: A systematic literature review. Sustainability: Science Practice and Policy, 10 ( 10 ), 3821.
dc.identifier.citedreferencePowell, W. W. ( 1987 ). Explaining technological change. The American Journal of Sociology, 93 ( 1 ), 185 – 197.
dc.identifier.citedreferencePradhan, A., Findlater, L., & Lazar, A. ( 2019 ). ‘Phantom friend’ or ‘just a box with information’: Personification and ontological categorization of smart speaker-based voice assistants by older adults. In Proceedings of the ACM on Human-Computer Interaction (3:CSCW), Association for Computing Machinery (ACM), pp. 1–21.
dc.identifier.citedreferencePrescott, T. J., & Robillard, J. M. ( 2021 ). Are friends electric? The benefits and risks of human-robot relationships. iScience, 24 ( 1 ), 101993.
dc.identifier.citedreferencePujadas, R., Valderrama, E., & Venters, W. ( 2020 ). Interfaces and the dynamics of digital ecosystems: A study of the online travel ecosystem. In Proceedings of the 20th ICISI.
dc.identifier.citedreferenceQin, P., Tan, W., Guo, J., & Shen, B. ( 2021 ). Intelligible description language contract (IDLC) – A novel smart contract model. Information Systems Frontiers.
dc.identifier.citedreferenceRai, A. ( 2020 ). Explainable AI: From black box to glass box. Journal of the Academy of Marketing Science, 48 ( 1 ), 137 – 141.
dc.identifier.citedreferenceRaisch, S., & Krakowski, S. ( 2021 ). Artificial intelligence and management: The automation–augmentation paradox. Academy of Management Review, 46 ( 1 ), 192 – 210.
dc.identifier.citedreferenceRajendran, S. D., Wahab, S. N., & Yeap, S. P. ( 2020 ). Design of a Smart Safety Vest Incorporated with metal detector kits for enhanced personal protection. Safety and Health at Work, 11 ( 4 ), 537 – 542.
dc.identifier.citedreferenceRebernik, N., Favero, P., & Bahillo, A. ( 2021 ). Using digital tools and ethnography for rethinking disability Inclusive City design - exploring material and immaterial dialogues. Disability & Society, 36 ( 6 ), 952 – 977.
dc.identifier.citedreferenceRehe, G., Schneider, R., & Thimm, D. ( 2020 ). Transformation towards human workforce 4.0 through the qualification model LTA-FIT. In Proceedings of the 53rd HICSS.
dc.identifier.citedreferenceRichter, A., Heinrich, P., Stocker, A., & Schwabe, G. ( 2018 ). Digital Work Design. Business & Information Systems Engineering, 60 ( 3 ), 259 – 264.
dc.identifier.citedreferenceRobert, L. ( 2018 ). Motivational theory of human robot teamwork. International Robotics & Automation Journal, 4 ( 4 ), 248 – 251.
dc.identifier.citedreferenceŞahin, E., Çakmak, M., Doğar, M. R., Uğur, E., & Üçoluk, G. ( 2007 ). To afford or not to afford: A new formalization of affordances toward affordance-based robot control. Adaptive Behavior, 15 ( 4 ), 447 – 472.
dc.identifier.citedreferenceSamek, W., Montavon, G., Vedaldi, A., Hansen, L. K., & Müller, K.-R. ( 2019 ). Explainable AI: Interpreting, Explaining and Visualizing Deep Learning. Springer Nature.
dc.identifier.citedreferenceSarker, S., Chatterjee, S., Xiao, X., & Elbanna, A. ( 2019 ). The sociotechnical axis of cohesion for the IS discipline: Its historical legacy and its continued relevance. MIS Quarterly, 43 ( 3 ), 695 – 720.
dc.identifier.citedreferenceSchwabe, H., & Castellacci, F. ( 2020 ). Automation, workers’ skills and job satisfaction. PLoS One, 15 ( 11 ), e0242929.
dc.identifier.citedreferenceSeidel, S., Recker, J., & vom Brocke, J. ( 2013 ). Sensemaking and sustainability practicing: Functional affordances of information systems in green transformations. MIS Quarterly, 37 ( 4 ), 1275 – 1299.
dc.identifier.citedreferenceSeymour, M., Riemer, K., & Kay, J. ( 2018 ). Actors, avatars and agents: Potentials and implications of natural face technology for the creation of realistic visual presence. Journal of the Association for Information Systems, 19 ( 10 ), 953 – 981.
dc.identifier.citedreferenceSharon, T. ( 2021 ). Blind-sided by privacy? Digital contact tracing, the Apple/Google API and big tech’s newfound role as global health policy makers. Ethics and Information Technology, 23 ( Suppl 1 ), 45 – 57.
dc.identifier.citedreferenceSohail, M. ( 2020 ). Exploring user satisfaction with AI-enabled voice- activated smart phone assistants. In Proceedings of the 2020 PACIS, PACIS 2020 Proceedings.
dc.identifier.citedreferenceSprague, R. H. ( 1980 ). A framework for the development of decision support systems. MIS Quarterly, 4 ( 4 ), 1 – 26.
dc.identifier.citedreferenceStahl, B. C. ( 2012 ). Morality, ethics, and reflection: A categorization of normative IS research. Journal of the Association for Information Systems, 13 ( 8 ), 636 – 656.
dc.identifier.citedreferenceStahl, B. C., & Markus, M. L. ( 2021 ). Let’s claim the authority to speak out on the ethics of smart information systems. MIS Quarterly, 45 ( 1 ), 485 – 488.
dc.identifier.citedreferenceStein, Z. ( 2022 ). Technology is not values neutral: Ending the reign of nihilistic design. Consilience project. https://consilienceproject.org/technology-is-not-values-neutral/
dc.working.doiNOen
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Name:
isj12422.pdf
Size:
1.690MB
Format:
PDF
View/Open
Name:
isj12422_am.pdf
Size:
840.8KB
Format:
PDF
View/Open

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe its collections in a way that respects the people and communities who create, use, and are represented in them. We encourage you to Contact Us anonymously if you encounter harmful or problematic language in catalog records or finding aids. More information about our policies and practices is available at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.