New Kid On The Block! Understanding Blockchain Adoption in the Public Sector

Blockchain has been heralded as a technology that can transform entire sectors, including the public sector where blockchain applications are believed to bring a wide range of benefits. The public sector is lagging behind, however, in its actual adoption of blockchain technology, and our understanding of the factors that explain the slow adoption rate, is lacking. Based on seven case studies of blockchain projects at various adoption stages, this research contributes to our understanding of what factors influence blockchain adoption in the public sector. We use an extended TOE framework that includes an inter-organizational perspective. The findings show that adoption is influenced by the hype around—and resistance to—blockchain technology; by top management support, by (perceptions of) the regulatory environment; as well as by trust between blockchain partners, which is both an antecedent as well as a consequence of blockchain adoption.

[1]  S.J. Makinen,et al.  An empirical study of the existence of the Hype Cycle: A case of DVD technology , 2008, 2008 IEEE International Engineering Management Conference.

[2]  H. Rainey,et al.  Managing Successful Organizational Change in the Public Sector , 2006 .

[3]  Paul J. Hart,et al.  Power and Trust: Critical Factors in the Adoption and Use of Electronic Data Interchange , 1997 .

[4]  Ilan Avrichir Organization change: theory and practice , 2003 .

[5]  K. Eisenhardt Building theories from case study research , 1989, STUDI ORGANIZZATIVI.

[6]  Kai Spohrer,et al.  A Blockchain Research Framework , 2017, Business & Information Systems Engineering.

[7]  Blake Ives,et al.  Executive Involvement and Participation in the Management of Information Technology , 1991, MIS Q..

[8]  Kathleen M. Eisenhardt,et al.  Theory Building From Cases: Opportunities And Challenges , 2007 .

[9]  Roman Beck,et al.  Blockchain as Radical Innovation: A Framework for Engaging with Distributed Ledgers as Incumbent Organization , 2017, HICSS.

[10]  Marijn Janssen,et al.  Challenges of blockchain technology adoption for e-government: a systematic literature review , 2018, DG.O.

[11]  Steven D. Sheetz,et al.  The determinants of inter-organizational and internal in-house adoption of XBRL: A structural equation model , 2012, Int. J. Account. Inf. Syst..

[12]  Hema Date,et al.  Understanding determinants of cloud computing adoption using an integrated TAM-TOE model , 2015, J. Enterp. Inf. Manag..

[13]  Melanie Swan,et al.  Blockchain: Blueprint for a New Economy , 2015 .

[14]  Zhenyu Huang,et al.  A Comprehensive Examination of Internet-EDI Adoption , 2008, Inf. Syst. Manag..

[15]  Izak Benbasat,et al.  Research Report: Empirical Test of an EDI Adoption Model , 2001, Inf. Syst. Res..

[16]  Kenneth L. Kraemer,et al.  Information Technology Payoff in E-Business Environments: An International Perspective on Value Creation of E-Business in the Financial Services Industry , 2004, J. Manag. Inf. Syst..

[17]  K. Ramamurthy,et al.  The Role of Interorganizational and Organizational Factors on the Decision Mode for Adoption of Interorganizational Systems , 1995 .

[18]  Marijn Janssen,et al.  Blockchain in government: Benefits and implications of distributed ledger technology for information sharing , 2017, Gov. Inf. Q..

[19]  Sooyong Park,et al.  Where Is Current Research on Blockchain Technology?—A Systematic Review , 2016, PloS one.

[20]  Thomas Acton,et al.  Blockchain Adoption: Technological, Organisational and Environmental Considerations , 2018, Business Transformation through Blockchain.

[21]  Nancy Pouloudi,et al.  Understanding Cloud Adoption Decisions in the Public Sector , 2015, 2015 48th Hawaii International Conference on System Sciences.

[22]  Hans P. Borgman,et al.  Cloudrise: Exploring Cloud Computing Adoption and Governance with the TOE Framework , 2013, 2013 46th Hawaii International Conference on System Sciences.