The Unknowability of Autonomous Tools and the Liminal Experience of Their Use

Published Online:https://doi.org/10.1287/isre.2021.1022

References

  • Archer MS, Bhaskar R, Collier A, Lawson T, Norrie A (1998) Critical Realism: Essential Readings (Psychology Press, London).Google Scholar
  • Banerjee D, Cronan TP, Jones TW (1998) Modeling IT ethics: A study in situational ethics. MIS Quart. 22(1):31–60.CrossrefGoogle Scholar
  • Barad K (2003) Posthumanist performativity: Toward an understanding of how matter comes to matter. Signs 28(3):801–831.CrossrefGoogle Scholar
  • Beane M, Orlikowski WJ (2015) What difference does a robot make? The material enactment of distributed coordination. Organ. Sci. 26(6):1553–1573.LinkGoogle Scholar
  • Berente N, Yoo Y (2012) Institutional contradictions and loose coupling: Postimplementation of NASA’s enterprise information system. Inform. Systems Res. 23(2):376–396.LinkGoogle Scholar
  • Bijker WE, Hughes TP, Pinch TJ (1987) The Social Construction of Technological Systems: New Directions in the Sociology and History of Technology (MIT Press, Cambridge, MA).Google Scholar
  • Boehm BW (1988) A spiral model of software development and enhancement. Comput. 21(5):61–72.CrossrefGoogle Scholar
  • Boland RJ, Tenkasi RV, Te’eni D (1994) Designing information technology to support distributed cognition. Organ. Sci. 5(3):456–475.LinkGoogle Scholar
  • Bourdieu P (1998) Practical Reason: On the Theory of Action (Stanford University Press, Stanford, CA).Google Scholar
  • Brown C, Linden G (2009) Chips and Change: How Crisis Reshapes the Semiconductor Industry (MIT Press, Cambridge, MA).CrossrefGoogle Scholar
  • Burrell J (2016) How the machine “thinks”: Understanding opacity in machine learning algorithms. Big Data Soc. 3(1):1–12.CrossrefGoogle Scholar
  • Callon M, Muniesa FJOs (2005) Peripheral vision: Economic markets as calculative collective devices. Organ. Stud. 26(8):1229–1250.Google Scholar
  • Corbin JM, Strauss A (1990) Grounded theory research: Procedures, canons, and evaluative criteria. Qual. Sociol. 13(1):3–21.CrossrefGoogle Scholar
  • David PA (1994) Why are institutions the “carriers of history”? Path dependence and the evolution of conventions, organizations and institutions. Structural Change Econom. Dynamics 5(2):205–220.CrossrefGoogle Scholar
  • David PA (2001) Path dependence, its critics and the quest for “historical economics.” Garrouste P, Ioannides S, eds. Evolution and Path Dependence in Economic Ideas: Past and Present (Edward Elgar, Cheltenham, UK), 15–40.Google Scholar
  • DeLanda M (2013) Intensive Science and Virtual Philosophy (Bloomsbury Publishing, London, UK).Google Scholar
  • DeLanda M (2016) Assemblage Theory (Edinburgh University Press, Edinburgh, UK).Google Scholar
  • Dodgson M, Gann DM, Salter A (2007) “In case of fire, please use the elevator”: Simulation technology and organization in fire engineering. Organ. Sci. 18(5):849–864.LinkGoogle Scholar
  • Eisenberg EM (1990) Jamming: Transcendence through organizing. Comm. Res. 17(2):139–164.Google Scholar
  • Emirbayer M, Mische A (1998) What is agency? Amer. J. Sociol. 103(4):962–1023.CrossrefGoogle Scholar
  • Faraj S, Kwon D, Watts S (2004) Contested artifact: Technology sensemaking, actor networks, and the shaping of the web browser. Inform. Tech. People 17(2):186–209CrossrefGoogle Scholar
  • Faraj S, Pachidi S, Sayegh K (2018) Working and organizing in the age of the learning algorithm. Inform. Organ. 28(1):62–70.CrossrefGoogle Scholar
  • Fayard A-L, Weeks J (2007) Photocopiers and water-coolers: The affordances of informal interaction. Organ. Stud. 28(5):605–634.CrossrefGoogle Scholar
  • Garsten C (1999) Betwixt and between: Temporary employees as liminal subjects in flexible organizations. Organ. Stud. 20(4):601–617.CrossrefGoogle Scholar
  • Gaskin JE, Berente N, Lyytinen K, Yoo Y (2014) Toward generalizable sociomaterial inquiry: A computational approach for zooming in and out of sociomaterial routines. MIS Quart. (38)(3):849–871.CrossrefGoogle Scholar
  • Gibson JJ (1977) The theory of affordances. Shaw R, Bransford J, eds. Perceiving, Acting, and Knowing: Toward an Ecological Psychology. (John Wiley & Sons, Inc., Hoboken, NJ), 67–82.Google Scholar
  • Gibson JJ (1979) The Ecological Approach to Visual Perception (Psychology Press).Google Scholar
  • Giddens A (1984) The Constitution of Society: Outline of the Theory of Structuration (University of California Press, Berkeley).Google Scholar
  • Gregor S, Jones D (2007) The anatomy of a design theory. J. Assoc. Inform. Systems 8(5):19.Google Scholar
  • Hagras H (2018) Toward human-understandable, explainable AI. Comput. 51(9):28–36.CrossrefGoogle Scholar
  • Hanseth O, Monteiro E (1997) Inscribing behaviour in information infrastructure standards. Accounting Management Inform. Tech. 7(4):183–211.CrossrefGoogle Scholar
  • Heidegger M (1962) Being and Time (Harper & Row, New York).Google Scholar
  • Henderson MK (1991) Flexible sketches and inflexible data bases: Visual communication, conscription devices, and boundary objects in design engineering. Sci Tech Human Values 16(4):448–473.CrossrefGoogle Scholar
  • Henfridsson O, Yoo Y (2014) The liminality of trajectory shifts in institutional entrepreneurship. Organ. Sci. 25(3):932–950.LinkGoogle Scholar
  • High R (2012) The Era of Cognitive Systems: An Inside Look at IBM Watson and How It Works (IBM Corporation, Redbooks).Google Scholar
  • Hirschheim R (1985) Information systems epistemology: An historical perspective. Research Methods in Information Systems, 9:13–35.Google Scholar
  • Holland JH, Holyoak KJ, Nisbett RE, Thagard PR (1989) Induction: Processes of Inference, Learning, and Discovery (MIT Press, Cambridge, MA).CrossrefGoogle Scholar
  • Hutchins E (1995) Cognition in the Wild (MIT Press, Cambridge, MA).CrossrefGoogle Scholar
  • Hutchins E, Klausen T (1996) Distributed cognition in an airline cockpit. Engeström Y, Middleton D, eds. Cognition and Communication at Work (Cambridge University Press, New York), 15–34.CrossrefGoogle Scholar
  • Introna LD (2011) The enframing of code: Agency, originality and the plagiarist. Theory Culture Soc. 28(6):113–141.CrossrefGoogle Scholar
  • Jarvenpaa SL, Leidner DE (1999) Communication and trust in global virtual teams. Organ. Sci. 10(6):791–815.LinkGoogle Scholar
  • Jarvenpaa SL, Knoll K, Leidner DE (1998) Is anybody out there? Antecedents of trust in global virtual teams. J. Management Inform. Systems 14(4):29–64.CrossrefGoogle Scholar
  • Jung Y, Lyytinen K (2014) Towards an ecological account of media choice: A case study on pluralistic reasoning while choosing email. Inform. Systems J. 24(3):271–293.CrossrefGoogle Scholar
  • Kallinikos J, Aaltonen A, Marton A (2013) The ambivalent ontology of digital artifacts. MIS Quart. 37(2):357–370.CrossrefGoogle Scholar
  • Kavanagh D, Araujo L (1995) Chronigami: Folding and unfolding time. Accounting Management Inform. Tech. 5(2):103–121.CrossrefGoogle Scholar
  • Kling R, Scacchi W (1982) The web of computing: Computer technology as social organization. Adv. Comput. 21:1–90.CrossrefGoogle Scholar
  • Kroll JA (2018) The fallacy of inscrutability. Philos. Trans. Roy. Soc. A 376:1–14.Google Scholar
  • Kvale S, Brinkmann S (2009) Interviews: Learning the Craft of Qualitative Research Interviewing (Sage).Google Scholar
  • Latour B (1987) Science in Action: How to Follow Scientists and Engineers through Society (Harvard University Press).Google Scholar
  • Latour B (2005) Reassembling the Social. Política Soc. 43(3):127–130.Google Scholar
  • Latour B (2012) We Have Never Been Modern (Harvard University Press, Cambridge, MA).Google Scholar
  • Latour B, Mauguin P, Teil G (1992) A note on socio-technical graphs. Soc Stud Sci. 22(1):33–57.CrossrefGoogle Scholar
  • Leavitt HJ, March JG, March JG (1962) Applied Organizational Change in Industry: Structural, Technological and Humanistic Approaches (Carnegie Institute of Technology, Graduate School of Industrial Administration, Pittsburgh, PA).Google Scholar
  • Lee AS, Baskerville RL (2003) Generalizing generalizability in information systems research. Inform. Systems Res. 14(3):221–243.LinkGoogle Scholar
  • Leonardi PM (2011) When flexible routines meet flexible technologies: Affordance, constraint, and the imbrication of human and material agencies. MIS Quart. 35(1):147–167.CrossrefGoogle Scholar
  • Leonardi P (2013) Theoretical foundations for the study of sociomateriality. Inform. Organ. 23(2):59–76.CrossrefGoogle Scholar
  • Levina N, Arriaga M (2014) Distinction and status production on user-generated content platforms: Using Bourdieu’s theory of cultural production to understand social dynamics in online fields. Inform. Systems Res. 25(3):468–488.LinkGoogle Scholar
  • Liebowitz SJ, Margolis SE (1995) Path dependence, lock-in, and history. J. Law Econom. Organ. 11(1):205–226.Google Scholar
  • Lindberg A, Berente N, Gaskin J, Lyytinen K (2016) Coordinating interdependencies in online communities: A study of an open source software project. Inform. Systems Res. 27(4):751–772.LinkGoogle Scholar
  • Lyytinen K, Berente N (2017) Iteration in systems analysis and design: Cognitive processes and representational artifacts. Chiang RHL, Siau K, Hardgrave BC, eds. Systems Analysis and Design: Techniques, Methodologies, Approaches, and Architecture, vol. 15, Advances in Management Information System (M.E. Sharpe, Armonk, NY), 118–138.Google Scholar
  • Lyytinen K, Nickerson JV, King JL (2020) Metahuman systems = humans + machines that learn. J. Inform. Tech. 1–19.Google Scholar
  • Mackenzie A (2006) Cutting Code: Software and Sociality (Peter Lang, New York).Google Scholar
  • MacKenzie D (2018) Material signals: A historical sociology of high-frequency trading. Amer. J. Sociol. 123(6):1635–1683.CrossrefGoogle Scholar
  • MacKenzie D (2019) How algorithms interact: Goffman’s “interaction order” in automated trading. Theory Culture Soc. 36(2):39–59.CrossrefGoogle Scholar
  • Majchrzak A, Chang T-C, Barfield W, Eberts R, Salvendy G (1987) Human Aspects of Computer-Aided Design (Taylor & Francis/Hemisphere, Bristol, PA).Google Scholar
  • Mangalaraj G, Nerur S, Mahapatra R, Price KH (2014) Distributed cognition in software design: An experimental investigation of the role of design patterns and collaboration. MIS Quart. 38(1):249–274.CrossrefGoogle Scholar
  • Marx K (2007) On violence. Lawrence BB, Karim A, eds. Capital: A Critique of Political Economy (Duke University Press, New York), 63–77.Google Scholar
  • Mazmanian M (2012) Avoiding the trap of constant connectivity: When congruent frames allow for heterogeneous practices. Acad. Management J. 56(5):1225–1250.CrossrefGoogle Scholar
  • McGrath JE, Kelly JR (1986) Time and Human Interaction: Toward a Social Psychology of Time (Guilford Press, New York).Google Scholar
  • Morse JM (2007) Sampling in grounded theory. Bryant A, Charmaz K, eds. The Sage Handbook of Grounded Theory (SAGE Publications Ltd., New York), 229–244.CrossrefGoogle Scholar
  • Müller M (2015) Assemblages and actor‐networks: Rethinking socio‐material power, politics and space. Geography Compass 9(1):27–41.CrossrefGoogle Scholar
  • Mutch A (2013) Sociomateriality—Taking the wrong turning? Inform. Organ. 23(1):28–40.CrossrefGoogle Scholar
  • Myers MD (1997) Qualitative research in information systems. MIS Quart. 21:241–242.CrossrefGoogle Scholar
  • Myers MD, Newman M (2007) The qualitative interview in is research: Examining the craft. Inform. Organ. 17(1):2–26.CrossrefGoogle Scholar
  • Nan N, Lu Y (2014) Harnessing the power of self-organization in an online community during organizational crisis. MIS Quart. 38(4):1135–1158.CrossrefGoogle Scholar
  • Norman DA (1990) The Design of Everyday Things (Doubleday, New York).Google Scholar
  • Orlikowski WJ (2007) Sociomaterial practices: Exploring technology at work. Organ. Stud. 28(9):1435–1448.CrossrefGoogle Scholar
  • Orlikowski WJ, Scott SV (2014) What happens when evaluation goes online? Exploring apparatuses of valuation in the travel sector. Organ. Sci. 25(3):868–891.LinkGoogle Scholar
  • Orlikowski W, Scott SV (2015) The algorithm and the crowd: Considering the materiality of service innovation. MIS Quart. 39(1):201–216.CrossrefGoogle Scholar
  • Paavola S (2005) Peircean abduction: Instinct or inference? Semiotica 153(1/4):131–154.Google Scholar
  • Pasquale F (2015) The Black Box Society (Harvard University Press, Cambridge, MA).CrossrefGoogle Scholar
  • Pickering A (1993) The mangle of practice: Agency and emergence in the sociology of science. Amer. J. Sociol. 99(3):559–589.CrossrefGoogle Scholar
  • Pinch TJ, Bijker WE (1984) The social construction of facts and artefacts: Or how the sociology of science and the sociology of technology might benefit each other. Soc. Stud. Sci. 14(3):399–441.CrossrefGoogle Scholar
  • Puranam P, Alexy O, Reitzig M (2014) What’s “new” about new forms of organizing? Acad. Management Rev. 39(2):162–180.CrossrefGoogle Scholar
  • Reed R, DeFillippi RJ (1990) Causal ambiguity, barriers to imitation, and sustainable competitive advantage. Acad. Management Rev. 15(1):88–102.CrossrefGoogle Scholar
  • Royce WW (1970) Managing the development of large software systems: Concepts and techniques. Riddle WE, ed. Proc. 9th Internat. Conf. Software Engrg. (IEEE Computer Society Press, Washington, DC), 328–338.Google Scholar
  • Sarker 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 Quart. 43(3):695–720.CrossrefGoogle Scholar
  • Seidel S, Berente N, Lindberg A, Lyytinen K, Nickerson JV (2018a) Autonomous tools and design: A triple-loop approach to human-machine learning. Comm. ACM. 62(1):50–57.CrossrefGoogle Scholar
  • Seidel S, Berente N, Martinez B, Lindberg A, Lyytinen K, Nickerson JV (2018b) Autonomous tools in system design: Reflective practice in Ubisofts Ghost Recon Wildlands project. Comput. 51(10):16–23.CrossrefGoogle Scholar
  • Sennett R (2008) The Craftsman (Yale University Press, New Haven, CT).Google Scholar
  • Shaft TM, Vessey I (2006) The role of cognitive fit in the relationship between software comprehension and modification. MIS Quart. 30(1):29–55.CrossrefGoogle Scholar
  • Shen Z, Lyytinen K, Yoo Y (2015) Time and information technology in teams: A review of empirical research and future research directions. Eur. J. Inform. Systems 24(5):492–518.CrossrefGoogle Scholar
  • Silver D, Huang A, Maddison CJ, Guez A, Sifre L, Van Den Driessche G, Schrittwieser J, et al. (2016) Mastering the game of Go with deep neural networks and tree search. Nature 529(7587):484–489.CrossrefGoogle Scholar
  • Simon HA (1996) The Sciences of the Artificial (MIT Press, Boston, MA).Google Scholar
  • Smith HJ, Hasnas J (1999) Ethics and information systems: The corporate domain. MIS Quart. 23(1):109–127.CrossrefGoogle Scholar
  • Strauss A, Corbin J (1998) Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory, 2nd ed. (Sage Publications, New York).Google Scholar
  • Suchman LA (2006) Human-Machine Reconfigurations, 2nd ed. (Cambridge University Press, New York).CrossrefGoogle Scholar
  • Thomas DE, Hitchcock CY III, Kowalski TJ, Rajan JV, Walker RA (1983) Automatic data path synthesis. IEEE Comput. 16(12):59–70.CrossrefGoogle Scholar
  • Tilson D, Lyytinen K, Sørensen C (2010) Research commentary—Digital infrastructures: The missing IS research agenda. Inform. Systems Res. 21(4):748–759.LinkGoogle Scholar
  • Tong C, Sriram D (1992) Artificial Intelligence in Engineering Design: Volume III: Knowledge Acquisition, Commercial Systems, and Integrated Environments (Academic Press, San Diego).Google Scholar
  • Trist E (1981) The evolution of socio-technical systems as a conceptual framework and as an action research program. Van de Ven A, Joyce W, eds. Perspectives on Organization Design & Behavior (John Wiley & Sons, New York), 19–75.Google Scholar
  • Trist EL, Bamforth KW (1951) Some social and psychological consequences of the longwall method of coal-getting: An examination of the psychological situation and defences of a work group in relation to the social structure and technological content of the work system. Human Relations 4(1):3–38.CrossrefGoogle Scholar
  • Turkle S (1997) Seeing through computers. Amer. Prospect. 8(31):76–82.Google Scholar
  • Turner V (1987) Betwixt and between: The liminal period in rites of passage. Mahdi LC, Foster S, Little M, eds. Betwixt and Between: Patterns of Masculine and Feminine Initiation (Open Court, La Salle IL), 3–19.Google Scholar
  • Van Driel H, Dolfsma W (2009) Path dependence, initial conditions, and routines in organizations: The Toyota production system re-examined. J. Organ. Change Management 22(1):49–72.CrossrefGoogle Scholar
  • Wagner EL, Newell S, Kay W (2012) Enterprise systems projects: The role of liminal space in enterprise systems implementation. J. Inform. Tech. 27(4):259–269.CrossrefGoogle Scholar
  • Walls JG, Widmeyer GR, El Sawy OA (1992) Building an information system design theory for vigilant EIS. Inform Systems Res. 3(1):36–59.LinkGoogle Scholar
  • Walsham G (1995) Interpretive case studies in IS research: Nature and method. Eur. J. Inform. Systems 4(2):74–81.CrossrefGoogle Scholar
  • Wang L-T, Chang Y-W, Cheng K-TT (2009) Electronic Design Automation: Synthesis, Verification, and Test (Morgan Kaufmann, Burlington, MA).Google Scholar
  • Winograd T, Flores F (1986) Understanding Computers and Cognition: A New Foundation for Design (Ablex Publishing, Norwood, NJ).Google Scholar
  • Xiao X, Lindberg A, Hansen S, Lyytinen K (2018) “Computing” requirements for open source software: A distributed cognitive approach. J. Assoc. Inform. Systems 19(12):1217–1252.Google Scholar
  • Yin RK (2003) Case Study Research: Design and Methods (Sage, New York).Google Scholar
  • Yoo Y (2010) Computing in everyday life: A call for research on experiential computing. MIS Quart. 34(2):213–231.CrossrefGoogle Scholar
  • Yoo Y, Henfridsson O, Lyytinen K (2010) Research commentary—The new organizing logic of digital innovation: An agenda for information systems research. Inform. Systems Res. 21(4):724–735.LinkGoogle Scholar
  • Yoo Y, Boland RJ Jr, Lyytinen K, Majchrzak A (2012) Organizing for innovation in the digitized world. Organ. Sci. 23(5):1398–1408.LinkGoogle Scholar
  • Zhu J, Liapis A, Risi S, Bidarra R, Youngblood GM (2018) Explainable AI for designers: A human-centered perspective on mixed-initiative co-creation. Browne C, ed. 2018 IEEE Conf. Comput. Intelligence Games (IEEE, New York), 1–8.Google Scholar
  • Zittrain JL (2006) The generative internet. Harvard Law Rev. 119:1974–2040.Google Scholar
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