1,630
Views
4
CrossRef citations to date
0
Altmetric
Research Article

Adoption of emerging ICTs: The role of actors in a social network

, & | (Reviewing Editor)
Article: 1259879 | Received 29 Jul 2016, Accepted 04 Nov 2016, Published online: 26 Dec 2016

References

  • Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Upper Saddle River, NJ: Prentice-Hall.
  • Ajzen, I. (1991). The theory of planned behaviour. Organizational Behaviour and Human Decision Processes, 50, 179–211.
  • Akrich, M., Callon, M., & Latour, B. (2002a). The key to success in innovation part 1: The art of interessement. International Journal of Innovation Management, 06, 187–206.10.1142/S1363919602000550
  • Akrich, M., Callon, M., & Latour, B. (2002b). The key to success in innovation part 11: The art of choosing good spokespersons. International Journal of Innovation Management, 6, 207–225.10.1142/S1363919602000562
  • Allen, J. (2004). Redefining the network: Enrollment strategies in the PDA industry. Information Technology and People, 17, 171–185.10.1108/09593840410542493
  • Al-Natour, S., & Benbasat, I. (2009). The adoption and IT artefacts: A new interaction-centric model for the study of user artefact relationships. Journal of Association for Information Systems, 10, 661–685.
  • Alutto, J., & Hrebiniak, L. (1975). Research on commitment to employing organizations: Preliminary findings on a study of managers graduating from engineering and MBA programs. Paper presented at the annual meeting of the Academy of Management, New Orleans.
  • Andrade, A., & Urquhart, C. (2010). The affordances of actor network theory in ICT for development research. Information Technology & People, 23, 352–374.
  • Awa, H., Baridam, D., & Nwibere, B. (2015). Demographic determinants of e-commerce adoption: A twist by location factors. Journal of Enterprise Information Management, 28, 325–346.
  • Benbasat, I., & Zmud, R. W. (2003). The identity crisis within the IS discipline: Defining and communicating the discipline's core properties. MIS Quarterly, 27, 183–194.
  • Bingham, R. (1976). The adoption of innovation by local government. Lexington, MA: Lexington Books.
  • Bouchard, L. (1993). Decision criteria in the adoption of EDI. In Proceedings of the 14th International Conference on Information Systems (pp. 365–376). Orlando, FL.
  • Boyatzis, R. (1998). Transforming qualitative information: Thematic analaysis and code development. London: Sage Publication.
  • Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3, 77–101.
  • Barrett, M., Grant, D., & Wailes, N. (2006). ICT and organizational change: Introduction to the special issue. The Journal of Applied Behavioral Science, 42, 6–22.10.1177/0021886305285299
  • Beaver, G. (2002). Small business, entrepreneurship and enterprise development. Harlow: Person Education Limited.
  • Benamati, J., & Lederer, A. (2008). Decision support systems unfrastructure: The root problems of the management of changing IT. Decision Support Systems, 45, 833–844.10.1016/j.dss.2008.02.003
  • Benbasat, I., & Barki, H. (2007). Quo vadis, TAM? Journal of the Association for Information Systems, 8, 211–218.
  • Bijker, W., Hughes, T., & Pinch, T. (Eds.). (1989). The social construction of technology systems, new direction in the sociology and history of technology. York, PA: Maple-Vail.
  • Balkundi, P., & Kilduff, M. (2006). The ties that lead: A social network approach to leadership. The Leadership Quarterly, 17, 419–439.
  • Brown, S. A., Dennis, A. R., & Venkatesh, V. (2010). Predicting collaboration technology use: Integrating technology adoption and collaboration research. Journal of Management Information Systems, 27, 9–53.
  • Bruun, H., & Hukkinen, J. (2003). Crossing boundaries: An integrative framework for studying technological change. Social Studies of Science, 33, 95–116.10.1177/0306312703033001178
  • Bygstad, B., Nielsen, P., & Munkvold, B. (2005). Four Integration Patterns: IS Development as Stepwise Adaptation of Technology and Organization. ECIS Proceedings. Paper 11.
  • Caldeira, M., & Ward, J. (2003). Using resource-based theory to interpret the successful adoption and use of information systems and technology in SMEs. European Journal of Information Systems, 12, 127–141.
  • Callon, M. (1986). Some elements of sociology of translation: Domestication of the scallops and the fishermen of Brieuc Bay. In J. Law (Ed.), Power, action and belief: A new sociology of knowledge (pp. 196–223). London: Routledge.
  • Callon, M. (1999). Actor-network theory—The market test. In J. Hassard & J. Law (ed.) Actor-Network Theory and After. Oxford: Blackwell.
  • Callon, M. (1991). Techno-economic networks and irreversibility, a sociology of monster: Essays on power, technology and domination. London: Routledge.
  • Callon, M., & Latour, B. (1981). Unsrewing the Big Leviathan: How actors macro—Structures reality and how sociologists help them to do so. Advances in social theory and methodology: Toward an integration of macro and macro-sociology. London: Routledge.
  • Carlsson, G., & Karlsson, K. (1970). Age, cohorts, and the generation of generations. American Sociological Review, 35, 710–718.
  • Cavusoglu, H., Hu, N., Li, Y., & Ma, D. (2010). Information technology diffusion with influential, imitators and opponents. Journal of Management Information Systems, 27, 305–334.10.2753/MIS0742-1222270210
  • Chen, W., & Hirschheim, R. (2004). A paradigmatic and methodological examination of information systems research from 1991 to 2001. Information Systems Journal, 14, 197–235.10.1111/isj.2004.14.issue-3
  • Child, J. (1974). Managerial and organizational factors associated with company performance. Journal of Management Studies, 11, 13–27.
  • Chuang, T., Nakatani, K., & Zhou, D. (2009). An exploratory study of the extent of information technology adoption in SMEs: An application of upper echelon theory. Journal of Enterprise Information Management, 22, 183–196.
  • Cordella, A., & Shaikh, M. (2006). From epistemology to ontology: Challenging the constructed truth of ANT ( Working Paper Series). London: London School of Economics and Political Science.
  • Davis, F. (1989). Perceived usefulness, perceived ease of use and acceptance of information technology. MIS Quarterly, 3, 319–340.
  • Eze, S., Awa, H., Okoye, J., Emecheta, B., & Anazodo, R. (2013). Determinant factors of information communication technology (ICT) adoption by government‐owned universities in Nigeria. Journal of Enterprise Information Management, 26, 427–443.10.1108/JEIM-05-2013-0024
  • Fang, X., Benamati, J., & Lederer, A. (2011). Coping with rapid information technology change in different national cultures. European Journal of Information Systems, 20, 560–573.10.1057/ejis.2011.20
  • Faraj, S., Kwon, D., & Watts, S. (2004). Contested artifact: Technological sense making, actor networks and the shaping of the web browser. Journal of Information, Technology and People, 17, 186–209.10.1108/09593840410542501
  • Gao, P. (2005). Using actor-network theory to analysis strategy formation. Information Systems Journal, 15, 225–275.
  • Garud, R., & Rappa, M. (1994). A socio-cognitive model of technology evolution: The case of cochlear implants. Organization Science, 5, 344–362.
  • Gilmore, A., & Carson, D. (2007). Teaching and research in small business enterprise marketing: A critique and some alternatives. Innovative methodologies in enterprise research. Cheltenham: Edward Elger.
  • Gomart, E., & Hennion, A. (1999). A sociology of attachment: Music amateurs, drug users: Actor network theory and after. Oxford: Blackwell.
  • Hambrick, D., & Mason, P. (1984). Upper echelons: The organization as a reflection of its top managers. Academy of Management Review, 9, 193–205.
  • Hanseth, O. A., & Aanestad, M. (2004). Guest editors’ introduction: Actor‐network theory and information systems. What's so special? Journal of Information Technology and People, 17, 116–123.10.1108/09593840410542466
  • Hine, D., & Carson, D. (2007). Innovative methodologies in enterprise research. Cheltenham: Edward Elga.10.4337/9781847204271
  • Jacobsson, M., & Linderoth, H. (2010). The influence of contextual elements, actors’ frames of reference, and technology on the adoption and use of ICT in construction projects: A Swedish case study. Construction Management and Economics, 28, 13–23.10.1080/01446190903406154
  • Kallinikos, J. (2004). Farewell to constructivism: Technology and context-embedded action: The social study of IT. Oxford: Oxford University Press.
  • Kim, S. (2009). The integrative framework of technology use: An extension and test. MIS Quarterly, 33, 513–537.
  • Latour, B. (1999). On recalling ANT` in law j and Hassard actor network theory and after (pp. 15–25). Oxford: Balckwell.
  • Latour, B. (2005). Reassembling the social: An introduction to actor-network-theory. Oxford: Oxford University Press.
  • Lee, H., & Oh, S. (2006). A standards war waged by a developing country: Understanding international standard setting from the actor-network perspective. The Journal of Strategic Information Systems, 15, 177–195.10.1016/j.jsis.2005.10.002
  • Mähring, M., Holmström, Jonny, & Keil, Mark (2004). Trojan actor‐networks and swift translation. Information Technology and People, 17, 210–238.10.1108/09593840410542510
  • Markus, M., & Robey, D. (1998). Information technology and organizational change: Causal structure in theory and research. Management Science, 34, 583–598.
  • Mason, J. (1996). Qualitative researching. London: Sage.
  • Mcafee, A. (2006). Enterprise 2.0: The dawn of emergent collaboration, Engineering Management Review, IEEE, 34, 38–38.
  • Miles, I., Kastrinos, N., Flanaghan, K., Bildebeek, R., Hertog, P., Huntink, W., & Bouman, M. (1994). Knowledge intensive business services: Their roles as users, carriers and sources of innovation. Manchester, NH: Prest.
  • Myers, M. D., & Newman, M. (2007). The qualitative interview in IS research: Examining the craft. Information and Organisation, 17, 2–26.
  • Nissan, E., Galindo, M., & Mendez, M. T. (2011). The future of service in globalized economy. The Service Industries Journal, 31, 57–78.
  • Oates, B. (2006). Researching information systems and computing. London: Sage.
  • OECD. (2000). Local access pricing and e-commerce: An update on the statistics. Paris: Organization for Economic Co-operation and Development.
  • Orlikowski, W. (1992). The duality of technology: Rethinking the concept of technology in the organizations. Organization Science, 11, 404–428.
  • Orlikowski, W., & Baroudi, J. (1991). Studying information technology in organizations: Research approaches and assumptions. Information Systems Research, 2(1), 1–28.
  • Orlikowski, W., & Gash, D. (1994). Technological frame, making sense of information technology in organization. ACM Transactions on Information Systems, 12, 174–207.10.1145/196734.196745
  • Orlikowski, W., & Iacono, C. (2001). Research commentary: Desperately seeking the “IT” in IT research—A call to theorizing the IT artifact. Information Systems Research, 12, 121–134.10.1287/isre.12.2.121.9700
  • Parker, C., & Castleman, T. (2009). Small firm e‐business adoption: A critical analysis of theory. Journal of Enterprise Information Management, 22, 167–182.10.1108/17410390910932812
  • Ray, A., & Ray, J. (2006). Strategic benefits to SMEs from third party web services: An action research analysis. The Journal of Strategic Information Systems, 15, 273–291.10.1016/j.jsis.2006.07.001
  • Rogers, E. (2003). Diffusion of innovations (4th ed.). New York, NY: The Free Press.
  • Sarker, S., Sarker, S., & Sidorova, A. (2006). Understanding business process change failure: An actor-network perspective. Journal of Management Information Systems, 23, 51–86.10.2753/MIS0742-1222230102
  • Schultze, U., & Avital, M. (2011). Designing interviews to generate rich data for information systems research. Information and Organization, 21, 1–16.10.1016/j.infoandorg.2010.11.001
  • Schwarz, A., & Chin, W. (2007). Looking forward: Toward an understanding of the nature and definition of IT acceptance. Journal of the Association for Information Systems, 8, 230–243.
  • Shiau, W., Hsu, P., & Wang, J. (2009). Development of measures to assess the ERP adoption of small and medium enterprises. Journal of Enterprise Information Management, 22 , 99–118.
  • Silva, L. (2007). Post-positivist review of technology acceptance model. Journal of the Association for Information Systems, 8, 255–266.
  • Simmons, G., Armstrong, G., & Durkin, M. (2008). A conceptualization of the determinants of small business website adoption: Setting the research agenda. International Small Business Journal, 26, 351–389.10.1177/0266242608088743
  • Simpson, M., & Docherty, A. (2004). E‐commerce adoption support and advice for UK SMEs. Journal of Small Business and Enterprise Development, 11, 315–328.10.1108/14626000410551573
  • Son, J.-Y., & Benbasat, I. (2007). Organizational buyers' adoption and use of B2B electronic marketplaces: Efficiency- and legitimacy-oriented perspectives. Journal of Management Information Systems, 24, 55–99.10.2753/MIS0742-1222240102
  • Tatnall, A., & Burges, S. (2002). Using Actor-Network Theory to Research the Implementation of a B-B Portal for Regional SMEs in Melbourne, Australia. In The Proceeding of 15th Bled Electronic Commerce Conference on eReality: Constructing the eEconomy Bled. Slovenia, June 17–19.
  • Tatnall, A., & Lepa, J. (2003). The Internet, e‐commerce and older people: An actor‐network approach to researching reasons for adoption and use. Logistics Information Management, 16, 56–63.10.1108/09576050310453741
  • Thong, J. (1999). An integrated model of information systems adoption in small businesses. Journal of Management Information Systems, 15, 27–31.
  • Tornatzky, L., & Fleischer, M. (1990). The process of technology innovation, Lexington: Lexington Books.
  • Van de Ven, A. H., & Poole, M. S. (1995). Explaining development and change in organization. Academy of Management Review, 20, 510–540.
  • Vankatesh, V., Davis, F., & Morris, M. (2007). Dead or alive? The development trajectory and future adoption research. Journal of Association for Information Systems, 8, 267–286.
  • Vannoy, S., & Palvia, P. (2010). The social influence model of technology adoption. Communications of the ACM, 53, 149–153.10.1145/1743546
  • Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425–478.
  • Walden, E., & Browne, G. (2009). Sequential adoption theory: A theory for understanding herding behaviour in early adoption of novel technologies. Journal of the Association for Information Systems, 10, 31–62.
  • Wernick, P., Hall, T., & Nehaniv, C. (2008). Software evolutionary dynamics modelled as the activity of an actor network. IET Software, 2, 321–336.
  • Williams, M., Dwivedi, Y., Lal, B., & Schwarz, A. (2009). Contemporary trends and issues in IT adoption and diffusion research. Journal of Information Technology, 24, 1–10.10.1057/jit.2008.30