Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Information Systems Frontiers
Erschienen in: Information Systems Frontiers 2/2020

26.04.2019

Smart Institutional Intervention in the Adoption of Digital Infrastructure: The Case of Government Cloud Computing in Oman

verfasst von: Khalid Alzadjali, Amany Elbanna

Erschienen in: Information Systems Frontiers | Ausgabe 2/2020

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Cloud computing technology presents a case of centralised digital infrastructure that requires adherence to standards and planned approach for its adoption and implementation. There is little knowledge on how institutions could influence the successful migration to the cloud considering the known challenges of adopting technology infrastructure. This research questions: How can institutions positively influence the adoption of cloud computing services? It examines the case of adopting government cloud computing in Sultanate of Oman. It adopts concepts from institutional theory as a theoretical lens to synthesis and explains empirical results. The study shows the practices that exerted institutional forces and the role they play in the successful adoption and migration to cloud services. It reveals that not all institutional forces carry equal weight in their influence, and this depends on the context of adoption. In the case study, we found that both coercive and mimetic forces to be playing prominent roles in pushing the adoption and migration to the cloud forward easing potential resistance from normative forces. We conceptualise this as a smart intervention that took the context of adoption seriously into consideration and was tailored accordingly. Implications for research and practice are discussed.
Vorheriger Artikel Developing and Organizing an Analytics Capability for Patient Flow in a General Hospital
Nächster Artikel Making Sense of Smartness in the Context of Smart Devices and Smart Systems

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Fußnoten
Literatur
Adler-Milstein, J., McAfee, A. P., Bates, D. W., & Jha, A. K. (2008). The state of regional health information organizations: current activities and financing. Health Affairs, 27(1), 60–69.
Ang, S., & Cummings, L. L. (1997). Strategic response to institutional influences on information systems outsourcing. Organization Science, 8(3), 235–256.
Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., & Stoica, I. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50–58.
Avgerou, C. (2000). IT and organizational change: an institutionalist perspective. Information Technology & People, 13(4), 234–262.
Baptista, J., Newell, S., & Currie, W. (2010). Paradoxical effects of institutionalisation on the strategic awareness of technology in organisations. The Journal of Strategic Information Systems, 19(3), 171–183.
Benders, J., Batenburg, R., & Van der Blonk, H. (2006). Sticking to standards; technical and other isomorphic pressures in deploying ERP-systems. Information & Management, 43(2), 194–203.
Bhat, J.M. (2013). Adoption of cloud computing by SMEs in India: a study of the institutional factors, Proceedings of the Nineteenth Americas Conference on Information Systems.
Braa, J., Hanseth, O., Heywood, A., Mohammed, W., & Shaw, V. (2007). Developing health information systems in developing countries: the flexible standards strategy. MIS Quarterly, 31(2), 381–402.
Brown, D. H., & Thompson, S. (2011). Priorities, policies and practice of e-government in a developing country context: ICT infrastructure and diffusion in Jamaica. European Journal of Information Systems, 20(3), 329–342.
Buyya, R., Broberg, J., & Goscinski, A. M. (2010). Cloud Computing: Principles and Paradigms. New York: Wiley.
Chang, V., & Ramachandran, M. (2016). Towards achieving data security with the cloud computing adoption framework. IEEE Transactions on Services Computing, 9(1), 138–151.
Chiasson, M. W., & Davidson, E. (2005). Taking industry seriously in information systems research. MIS Quarterly, 591–605.
Ciborra, C. U., & Hanseth, O. (1998). From tool to to Gestell: Agendas for managing the information infrastructure. Information Technology & People, 11(4), 305–327.
Constantinides, P., & Barrett, M. (2014). Information infrastructure development and governance as collective action. Information Systems Research, 26(1), 40–56.
Creeger, M. (2009). Cloud computing: an overview. ACM Queue, 7(5), 626–631.
Creswell, J. W. (2009). Research design: Qualitative and mixed methods approaches. London and Thousand Oaks: Sage Publications.
Currie, W. (2009). Contextualising the IT artefact: towards a wider research agenda for IS using institutional theory. Information Technology & People, 22(1), 63–77.
Currie, W. L. (2012). Institutional isomorphism and change: the national programme for IT–10 years on. Journal of Information Technology, 27(3), 236–248.
Currie, W. L., & Guah, M. W. (2007). Conflicting institutional logics: a national programme for IT in the organisational field of healthcare. Journal of Information Technology, 22(3), 235–247.
Currie, W.L., and Swanson, E.B. (2009). Special issue on institutional theory in information systems research: Contextualizing the IT artefact. Journal of Information Technology, 24(4), 283–285. Springer.
Davidson, E. J., & Chismar, W. G. (2007). The interaction of institutionally triggered and technology-triggered social structure change: an investigation of computerized physician order entry. MIS Quarterly, 31(4), 739–758.
De Vaujany, F. X., Fomin, V. V., Haefliger, S., & Lyytinen, K. (2018). Rules, Practices, and Information Technology: A Trifecta of Organizational Regulation. Information Systems Research, 29(3), 755–773.
DiMaggio, P. J., & Powell, W. W. (1983). The iron cage revisited: institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 147–160.
DiMaggio, P. J., & Powell, W. W. (1991). The new institutionalism in organizational analysis. Chicago: Chicago University.
Durkee, D. (2010a). Why cloud computing will never be free. Communications of the ACM, 53(5), 62–69.
Durkee, D. (2010b). Why cloud computing will never be free, in ACM Queue, pp. 01–10.
Easterby-Smith, M., Lyles, M., & Tsang, E. (2008b). Inter-organisational knowledge transfer: Current themes and future prospects. Journal of Management Studies, 45(4), 677–690.
Flanagin, A. J. (2000). Social pressures on organizational website adoption. Human Communication Research, 26(4), 618–646.
Flick, U. (2008). Designing qualitative research. Massachusett: Sage.
Fossey, E., Harvey, C., McDermott, F., et al. (2002). Understanding and evaluating qualitative research. Australian and New Zealand Journal of Psychiatry, 36, 717–732.
Gangwar, H., Date, H., & Ramaswamy, R. (2015). Understanding determinants of cloud computing adoption using an integrated TAM-TOE model. Journal of Enterprise Information Management, 28(1), 107–130.
GCC (2015). Foundations and Objectives of GCC.
Goode, S., Lin, C., Tsai, J. C., & Jiang, J. J. (2015). Rethinking the role of security in client satisfaction with Software-as-a-Service (SaaS) providers. Decision Support Systems, 70, 73–85.
Gosain, S. (2004). Enterprise information systems as objects and carriers of institutional forces: the new iron cage? Journal of the Association for Information Systems, 5(4), 6.
Gozman, D., & Currie, W. (2014). The role of investment management systems in regulatory compliance: a post-financial crisis study of displacement mechanisms. Journal of Information Technology, 29(1), 44–58.
Gratner 2014. Predicts (2014): Cloud Computing Affects All Aspects of IT.
Gregor, S. (2006). The nature of theory in information systems. MIS Quarterly, 30(3), 611–642.
Grimshaw, D., & Miozzo, M. (2006). Institutional effects on the IT outsourcing market: Analysing clients, suppliers and staff transfer in Germany and the UK. Organization Studies, 27(9), 1229–1259.
Güner, E. O., & Sneiders, E. (2014). Cloud computing adoption factors in Turkish large scale enterprises. In Proceedings of Pacific Asia Conference on Information Systems (PACIS) 2014 (pp. 353–361).
Hanseth, O., & Lyytinen, K. (2010). Design theory for dynamic complexity in information infrastructures: the case of building internet. Journal of Information Technology, 25(1), 1–19.
Hanseth, O., & Monteiro, E. (1997). Inscribing behaviour in information infrastructure standards. Accounting, Management and Information Technologies, 7(4), 183–211.
Hanseth, O., Monteiro, E., & Hatling, M. (1996). Developing information infrastructure: The tension between standardization and flexibility. Science, Technology & Human Values, 21(4), 407–426.
Hanseth, O., & Aanestad, M. (2003). Design as Bootstrapping. On the Evolution of Ict Networks in Health Care. Methods of Information in Medicine, 42(4), 384–391.
Hanseth, O., Jacucci, E., Grisot, M., & Aanestad, M. (2006). Reflexive standardization: side effects and complexity in standard making. MIS Quarterly, 30(Special Issue), 563–581.
Herath, T., & Rao, H. R. (2009). Encouraging information security behaviors in organizations: role of penalties, pressures and perceived effectiveness. Decision Support Systems, 47(2), 154–165.
Hoberg, P., Wollersheim, J., and Krcmar, H. (2012). The Business Perspective on Cloud Computing-A Literature Review of Research on Cloud Computing, AMCIS, AISeL2012.
Hoffman, A. J. (1999). Institutional evolution and change: Environmentalism and the US chemical industry. Academy of Management Journal, 42(4), 351–371.
Hu, Q., Hart, P., & Cooke, D. (2007). The role of external and internal influences on information systems security–a neo-institutional perspective. The Journal of Strategic Information Systems, 16(2), 153–172.
Iannacci, F. (2010). When is an information infrastructure? Investigating the emergence of public sector information infrastructures. European Journal of Information Systems, 19(1), 35–48.
ITA. (2015). ITA G-cloud overview, ITA.
ITA (2018). Information Technology Authority.
Jepperson, R. L. (1991). Institutions, Institutional Effects, and Institutionalism. In W. W. Powell & P. DiMaggio (Eds.), The new institutionalism in organizational analysis (pp. 143–163). Chicago: University of Chicago Press.
Jouini, M., and Rabai, L.B.A. (2019). A security framework for secure cloud computing environments, In Cloud security: Concepts, methodologies, tools, and applications, IGI Global, (pp. 249–263).
Katzan, H., Jr. (2010). On the privacy of cloud computing. International Journal of Management and Information Systems, 14(2), 1–12.
Kauffman, R. J., Ma, D., & Yu, M. (2018). A metrics suite of cloud computing adoption readiness. Electronic Markets, 28(1), 11–37.
King, J. L., Gurbaxani, V., Kraemer, K. L., McFarlan, F. W., Raman, K., & Yap, C.-S. (1994). Institutional factors in information technology innovation. Information Systems Research, 5(2), 139–169.
Kondra, A. Z., & Hurst, D. C. (2009). Institutional processes of organizational culture. Culture and Organization, 15(1), 39–58.
Kostova, T., Roth, K., & Dacin, M. T. (2008). Institutional theory in the study of multinational corporations: a critique and new directions. Academy of Management Review, 33(4), 994–1006.
Lai, K.-H., Wong, C. W., & Cheng, T. E. (2006). Institutional isomorphism and the adoption of information technology for supply chain management. Computers in Industry, 57(1), 93–98.
Lannacci, F. (2014). Routines, artefacts and technological change: Investigating the transformation of criminal justice in England and Wales. Journal of Information Technology, 29(4), 294–311.
Lee, Y. C. (2019). Adoption intention of cloud computing at the firm level. Journal of Computer Information Systems, 59(1), 61–72.
Leimeister, S., Böhm, M., Riedl, C., and Krcmar, H. (2010). The business perspective of cloud computing: actors, roles and value networks, in ECIS Proceedings, AISeL, (pp. 1-12).
Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007). Assimilation of enterprise systems: the effect of institutional pressures and the mediating role of top management. MIS Quarterly, 31(1), 59–87.
Low, C., Chen, Y., & Wu, M. (2011). Understanding the determinants of cloud computing adoption. Industrial Management & Data Systems, 111(7), 1006–1023.
Mahmood, M.A., Arslan, F., Dandu, J., and Udo, G. (2014). Impact of cloud computing adoption on firm stock Price–an empirical research, in AMCIS.
Marshall, B., Cardon, P., Poddar, A., & Fontenot, R. (2013). Does sample size matter in qualitative research?: a review of qualitative interviews in IS research. Journal of Computer Information Systems, 54(1), 11–22.
Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., & Ghalsasi, A. (2011). Cloud computing—The business perspective. Decision Support Systems, 51(1), 176–189.
Mell, P., & Grance, T. (2011a). The NIST definition of cloud computing (draft). NIST Special Publication, 800(145), 7.
Mell, P., and Grance, T. (2011b). The NIST definition of cloud computing: Recommendations of the National Institute of Standards and Technology, The National Institute of Standards and Technology - The US department of Commerce.
Mignerat, M., & Rivard, S. (2009). Positioning the institutional perspective in information systems research. Journal of Information Technology, 24(4), 369–391.
Miles, M.B., & Huberman, A.M. (1994). Qualitative data analysis : an expanded sourcebook (2nd ed.). California: London, England.
Miles, M. B., Huberman, A. M., & Saldana, J. (2013). Qualitative data analysis: A methods sourcebook. California: SAGE.
MoHOman (2013). MoH portal project summary, I. Department (ed.), ICT health: MoH OMan.
Monteiro, E., & Rolland, K. H. (2012). Trans-situated use of integrated information systems. European Journal of Information Systems, 21(6), 608–620.
Monteiro, E., Pollock, N., & Williams, R. (2014). Innovation in information infrastructures: Introduction to the special issue. Journal of the Association for Information Systems, 15(4), 4.
Meyer, J. W., & Rowan, B. (1977). Institutionalized Organizations: Formal Structure as Myth and Ceremony. American Journal of Sociology, 83(2), 340–363.
Myers, M. D. (1997). Qualitative research in information systems. Management Information Systems Quarterly, 21(2), 241–242.
Myers, M. (2009). Qualitative Research in Business and Management. Thousand Oaks: Sage Publications Ltd.
Nielsen, P., & Aanestad, M. (2006). Control Devolution as Information Infrastructure Design Strategy: A Case Study of a Content Service Platform for Mobile Phones in Norway. Journal of Information Technology, 21(3), 85–194.
NIST (2009). Working definition of cloud computing, in US government.
Oliveira, T., Thomas, M., & Espadanal, M. (2014). Assessing the determinants of cloud computing adoption: an analysis of the manufacturing and services sectors. Information & Management, 51(5), 497–510.
Orlikowski, W. J., & Baroudi, J. J. (1991). Studying information technology in organizations: Research approaches and assumptions. Information Systems Research, 2(1), 1–28.
Petkovic, I. (2010). CRM in the cloud (pp. 365–370). Subotica: IEEE.
Pipek, V., & Wulf, V. (2009). Infrastructuring: toward an integrated perspective on the design and use of information technology. Journal of the Association for Information Systems, 10(5), 447–473.
Ray, D. (2016). Cloud adoption decisions: Benefitting from an integrated perspective. Electronic Journal Information Systems Evaluation, 19(1).
Ribes, D., & Finholt, T. A. (2009). The long now of technology infrastructure: articulating tensions in development. Journal of the Association for Information Systems, 10(5), 375–398.
Robson, C. (2002). Real World Research. A Resource for Social Scientists and Practitioner-Researchers. MA. Boston: Blackwell Publishing.
Sabi, H. M., Uzoka, F.-M. E., Langmia, K., & Njeh, F. N. (2016). Conceptualizing a model for adoption of cloud computing in education. International Journal of Information Management, 36(2), 183–191.
Sabi, H. M., Uzoka, F. M. E., Langmia, K., Njeh, F. N., & Tsuma, C. K. (2018). A cross-country model of contextual factors impacting cloud computing adoption at universities in sub-Saharan Africa. Information Systems Frontiers, 20(6), 1381–1404.
Sahay, S., Monteiro, E., & Aanestad, M. (2009). Configurable politics and asymmetric integration: Health e-infrastructures in India. Journal of the Association for Information Systems, 10(5), 4.
Saunders, M. N., Saunders, M., Lewis, P., & Thornhill, A. (2007). Research methods for business students, 4/e. Essex: Pearson Education Iimited.
Schneider, S., & Sunyaev, A. (2014). Determinant factors of cloud-sourcing decisions: reflecting on the IT outsourcing literature in the era of cloud computing. Journal of Information Technology, 31(1), 1–31.
Scott, R. W. (2001). Institutions and organizations. London: Thousand Oaks Sage Publication.
Scott, W. R. (2008). Approaching adulthood: The maturing of institutional theory. Theory and Society, 37(5), 427–442.
Senarathna, I., Yeoh, W., Warren, M., & Salzman, S. (2016). Security and privacy concerns for australian smes cloud adoption: empirical study of metropolitan vs regional smes. Australasian Journal of Information Systems, (20).
Senyo, P. K., Addae, E., & Boateng, R. (2018). Cloud computing research: A review of research themes, frameworks, methods and future research directions. International Journal of Information Management, 38(1), 128–139.
Silsand, L., & Ellingsen, G. (2014). Generification by Translation: Designing Generic Systems in Context of the Local. Journal of the Association for Information Systems, 15(4), 177–196.
Sharma, S. K., Al-Badi, A. H., Govindaluri, S. M., & Al-Kharusi, M. H. (2016). Predicting motivators of cloud computing adoption: A developing country perspective. Computers in Human Behavior, 62, 61–69.
Star, S. L., & Ruhleder, K. (1996). Steps toward an ecology of infrastructure: design and access for large information spaces. Information Systems Research, 7(1), 111–134.
Svantesson, D., & Clarke, R. (2010). Privacy and consumer risks in cloud computing. Computer Law and Security Review, 26(4), 391–397.
Teo, H. H., Wei, K. K., & Benbasat, I. (2003). Predicting intention to adopt Interorganizational linkages: an institutional perspective. MIS Quarterly, 27(1), 19–49.
Tilson, D., Lyytinen, K., and Sorensen, C. (2010a). Desperately seeking the infrastructure in IS research: conceptualization of" digital convergence" as co-evolution of social and technical infrastructures. System Sciences (HICSS), 2010 43rd Hawaii International Conference on, IEEE2010a, 1–10.
Tilson, D., Lyytinen, K., & Sørensen, C. (2010b). Digital infrastructures: The missing IS research agenda 20th anniversary special issue of emerging challenges. Information Systems Research, 21(5), 748–759.
Tolbert, P. S., & Zucker, L. G. (1994). Institutional Analyses of Organizations: Legitimate but Not Institutionalized. Institute for Social Science Research, Working Paper 1994-95, No.5, University of California, Los Angeles.
UNDP. (2015). Human development report 2015. United Nations Development Programme: New York.
Ure, J., Procter, R., Lin, Y.-W., Hartswood, M., Anderson, S., Lloyd, S., Wardlaw, J., Gonzalez-Velez, H., & Ho, K. (2009). The development of data infrastructures for ehealth: a socio-technical perspective. Journal of the Association for Information Systems, 10(5), 3.
Walsham, G. (1995). Interpretive case studies in IS research: nature and method. European Journal of Information Systems, 4(2), 74–81.
Wang, N., Liang, H., Jia, Y., Ge, S., Xue, Y., & Wang, Z. (2016). Cloud computing research in the IS discipline: A citation/co-citation analysis. Decision Support Systems, 86, 35–47.
Weitzman, E. (2000). Software and qualitative research. In N. Denzin & Y. Lincoln (Eds.), Handbook of Qualitative Research. London: Sage Publications.
Wilczek, M. (2018). IT governance critical as cloud adoption soars to 96 percent in 2018, in CIO.
Yang, H., & Tate, M. (2012). A descriptive literature review and classification of cloud computing research. CAIS, (31), 2.
Yin, R. K. (2014). Case study research: Design and methods (5th ed.). Washington: Sage Publications.
Youseff, L., Butrico, M., and Da Silva, D. (2008). Toward a unified ontology of cloud computing, Grid Computing Environments Workshop. GCE'08, IEEE2008, pp. 1–10.
Yuan, D., Yang, Y., Liu, X., & Chen, J. (2010). A data placement strategy in scientific cloud workflows. Future Generation Computer Systems, 26(8), 1200–1214.
Yuan, D., Yang, Y., Liu, X., & Chen, J. (2011). On-demand minimum cost benchmarking for intermediate dataset storage in scientific cloud workflow systems. Journal of Parallel and Distributed Computing, 71(2), 316–332.
Metadaten
Titel
Smart Institutional Intervention in the Adoption of Digital Infrastructure: The Case of Government Cloud Computing in Oman
verfasst von
Khalid Alzadjali
Amany Elbanna
Publikationsdatum
26.04.2019
Verlag
Springer US
Erschienen in
Information Systems Frontiers / Ausgabe 2/2020
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI
https://doi.org/10.1007/s10796-019-09918-w

Weitere Artikel der Ausgabe 2/2020

Information Systems Frontiers 2/2020 Zur Ausgabe

OriginalPaper

Data Governance as a Collective Action Problem

OriginalPaper

Developing and Organizing an Analytics Capability for Patient Flow in a General Hospital

OriginalPaper

Factors Influencing Adoption of Mobile Social Network Games (M-SNGs): The Role of Awareness

OriginalPaper

E-Learning Implementation in South Korea: Integrating Effectiveness and Legitimacy Perspectives

OriginalPaper

Being useful: How information systems professionals influence the use of information systems in enterprises

OriginalPaper

Initial Evidence on the Impact of Big Data Implementation on Firm Performance