Main Article Content

Abstract

Abstract. E-government continues to gather research momentum from academics of diverse theoretical and practical orientations to signify the enduring significance of the concept, especially from the standpoint of digital service delivery in much of the developing world. A platformisation perspective driven by digital service delivery is teased out to make a case for this study. Dwelling on the fundamental assumptions of a positivistic research philosophy with the UTAUT epistemological model as the guiding frame to solicit responses of students in an online environment, the study employs quantitative techniques to analyse eight hypothetical scenarios. Findings suggest trust in e-government, Internet trust, social influence and performance expectancy are some of the strong predictors of intention to use e-government services. The study discusses the revelation that citizens are particularly influenced by peer pressure in their intention to use public digital services.  Theoretical implications and empirical lessons of the factors that should be of significant consideration to system designers and policy makers in e-government practice have been accounted for. Future research can take the direction of qualitative efforts to bring out the underlying rationale and tensions connected with digital service acceptance in e-government practice.

 

Keywords: Digital Service, E-government, Emerging Economies, Platformisation, Trust

Keywords

Digital Service E-government Emerging Economies Platformisation Trust

Article Details

Author Biographies

Kofi Agyenim Boateng, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

Kofi A. Boateng is a Senior Lecturer in the Department of Supply Chain and Information Systems at KNUST. He has BA (Hons) Publishing Studies from KNUST. His MSc in Analysis, Design and Management of Information Systems and PhD in Information Systems degrees were obtained from the London School of Economics and Political Science (LSE) in 2005 and 2010 respectively. His current research engagements include platform technologies, digital transformation, ICT-mediated interactions, and digital innovation. His publications have appeared in journals such as Communications of the IIMA and Information Knowledge Systems Management. He provides scholarly reviews for prominent conferences such as the International Conference on Information Systems (ICIS), European Conference on Information Systems (ECIS) as well as the African Conference on Information Systems and Technology (ACIST). Presently he serves as a panel member for Information Systems on the National Accreditation Board in Ghana. He also serves as an external examiner for Information Systems programmes at GIMPA, UNISA, and Tshwane University of Technology.

Rosemary Boateng-Coffie, Kwame Nkrumah University of Science and Technology

Dr. Mrs. Rosemary Boateng Coffie, who holds a Dip. Ed.(Management) (UCC), B.Ed. (Management)(UCC)) M.Ed. (Int. Mgt. and Policy) (UoB, UK) PGD (HRM) (WCC, UK) PhD (Management)(KNUST), is a Senior Lecturer in the Department of Human Resource and Organizational Development at the Kwame Nkrumah University of Science and Technology. She is also a member of the Institute of Human Resource Management Practitioners (Ghana). Since 2006 she has been engaged in teaching and research work in the area of Management and Human Resource Management. Her research interests are in the area of:

  • Management
  • Human Resource Management
  • Strategic Management
  • Strategic Human Resource Management
  • Information Systems and HRM
  • Cross Cultural Management
  • Organizational Climate
  • Institutional and Societal Coping
How to Cite
Boateng, K. A., Boateng-Coffie, R., & Darko, P. (2025). Trust in E-government Practices: A Platform Perspective of a Postal Service Organisation. The Asian Journal of Technology Management (AJTM), 15(3), 235–255. https://doi.org/10.12695/ajtm.2022.15.3.4 (Original work published May 17, 2023)

References

  1. Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes. Organizational Behavior and Human Decision Processes, 50, 179–211.
  2. Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior. Prentice-Hall.
  3. Alaimo, C., & Kallinikos, J. (2017a). Computing the everyday: social media as data platforms. Information Society, 33(4), 175–191. doi: 10.1080/01972243.2017.1318327
  4. Alaimo, C., & Kallinikos, J. (2017b). Computing the everyday: social media as data platforms. Information Society, 33(4), 175–191. doi: 10.1080/01972243.2017.1318327
  5. Alawadhi, S., & Morris, A. (2008a). The use of the UTAUT model in the adoption of e-government services in Kuwait. Proceedings of the Annual Hawaii International Conference on System Sciences, January. doi: 10.1109/HICSS.2008.452
  6. Alawadhi, S., & Morris, A. (2008b). The use of the UTAUT model in the adoption of e-government services in Kuwait. Proceedings of the Annual Hawaii International Conference on System Sciences, January. doi: 10.1109/HICSS.2008.452
  7. Al-Gahtani, S. S., Hubona, G. S., & Wang, J. (2007). Information technology (IT) in Saudi Arabia: Culture and the acceptance and use of IT. Information & Management, 44(8), 681–691. doi: 10.1016/j.im.2007.09.002
  8. Al-Khouri, Dr. A. M. (2012). eGovernment_Strategies_The_Case_of_UAE-with-cover-page-v2. European Journal of EPractice, N 17(031).
  9. Aneke, S., Bakht, H., & Desta, A. (2019a). The Adoption of e-Government Services in Nigeria using UTUAT Model. In Journal of computing and management studies, 3.
  10. Aneke, S., Bakht, H., & Desta, A. (2019b). The Adoption of e-Government Services in Nigeria using UTUAT Model. In Journal of computing and management studies, 3.
  11. Ashaye, O. R., & Irani, Z. (2019a). The role of stakeholders in the effective use of e-government resources in public services. International Journal of Information Management, 49, 253–270. doi: 10.1016/J.IJINFOMGT.2019.05.016
  12. Ashaye, O. R., & Irani, Z. (2019b). The role of stakeholders in the effective use of e-government resources in public services. International Journal of Information Management, 49, 253–270. doi: 10.1016/J.IJINFOMGT.2019.05.016
  13. Awiagah, R., Kang, J., & Lim, J. I. (2016). Factors affecting e-commerce adoption among SMEs in Ghana. Information Development, 32(4), 815–836. doi: 10.1177/0266666915571427
  14. Bagozzi, R. P. (2007). The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift. Journal of the Association for Information Systems, 8(4), 244–254.
  15. Barclay, M., Smith, C., & Watts, R. (1995). The determinants of corporate leverage and dividend policies Faktor penentu leverage perusahaan dan kebijakan dividen.
  16. Barrett, M., Davidson, E., Prabhu, J., & Vargo, S. L. (2015). Service innovation in the digital age: Key contributions and future directions. MIS Quarterly: Management Information Systems, 39(1), 135–154. doi: 10.25300/MISQ/2015/39:1.03
  17. Beenkens, F. H. C. (2011). Acceptance of e-Health Technology: A Patient Perspective.
  18. Berry, L. L., Shankar, V., Parish, J. T., Cadwallader, S., & Dotzel, T. (2006). Creating new markets through service innovation. MIT Sloan Management Review, 47(2), 56–63.
  19. Boateng, K. A. (2013). International Journal for e-Learning Security (IJeLS). International Journal for E-Learning Security (IJeLS), 3(2), 289–298.
  20. Bonchek, M., & Choudary, S. P. (2013). Three Elements of a Successful Platform Strategy. Harvard Business Review, 92, 1–2.
  21. Boudreau, K. J. (2012a). Let a Thousand Flowers Bloom? An Early Look At large Numbers of Software “Apps” Developers and Patterns of Innovation. SSRN Electronic Journal, February. doi: 10.2139/ssrn.1826702
  22. Boudreau, K. J. (2012b). Let a Thousand Flowers Bloom? An Early Look At large Numbers of Software “Apps” Developers and Patterns of Innovation. SSRN Electronic Journal, February. doi: 10.2139/ssrn.1826702
  23. Bucher, T., & Helmond, A. (2017). The Affordances of Social Media Platforms. In J. Burgess, A. Marwick, & T. Poell (Eds.), The SAGE handbook of social media (pp. 233–253). Sage.
  24. Bwalya, K. J. (2017). Factors Affecting Adoption of e-Government in Zambia. The Electronic Journal of Information Systems in Developing Countries, 38(1), 1–13. doi: 10.1002/j.1681-4835.2009.tb00267.x
  25. Cahlikova, T. (2019). The Uptake of e-Government in Switzerland: An Improbable Mismatch? (Doctoral dissertation, Université de Lausanne, Faculté des sciences sociales et politiques).
  26. Carter, L., & Bélanger, F. (2005). The utilization of e-government services: citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 5–25. doi: 10.1111/j.1365-2575.2005.00183.x
  27. Carter, L., & Weerakkody, V. (2008). E-government adoption: A cultural comparison. Information Systems Frontiers, 10(4), 473–482. doi: 10.1007/s10796-008-9103-6
  28. Chesbrough, H. W. (2011). Open Services Innovation: Rethinking Your Business to Grow and Compete in a New Era (1st ed.). Jossey-Bass Wiley.
  29. Chin, W. W. (1998). The partial least squares approach to structural equation modelling. In Marcoulides G. A. (Ed.). Modern Methods for Business Research, 295(2), 295–336.
  30. Compeau, D., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19, 189–211.
  31. Constantinides, P., Henfridsson, O., & Parker, G. G. (2018). Platforms and infrastructures in the digital age. Information Systems Research, 29(2), 381–400. doi:10.1287/isre.2018.0794
  32. Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13, 319–340.
  33. D’Emidio, T., Dorton, D., & Duncan, E. (2015). Service innovation in a digital world. In McKinsey Quarterly: Vol. February.
  34. Diaz Satriavi, Y., & Sushandoyo, D. (2018). Listening to the Voice of the Consumer: Expanding Technology Acceptance Model for Online Transportation Context. Asian Journal of Technology Management, 11(2), 125–136.
  35. Drigas, A., & Koukianakis, L. (2009). Government Online: An E-Government Platform to Improve Public Administration Operations and Services Delivery to the Citizen. In M. D. et al Lytras (Ed.), Visioning and Engineering the Knowledge Society. A Web Science Perspective (Vol. 5736). Springer.
  36. El-Haddadeh, R. (2020). Digital Innovation Dynamics Influence on Organisational Adoption: The Case of Cloud Computing Services. Information Systems Frontiers, 22(4), 985–999. doi: 10.1007/s10796-019-09912-2
  37. El-Haddadeh, R., Weerakkody, V., Osmani, M., Thakker, D., & Kapoor, K. K. (2019a). Examining citizens’ perceived value of internet of things technologies in facilitating public sector services engagement. Government Information Quarterly, 36(2), 310–320. doi: 10.1016/j.giq.2018.09.009
  38. El-Haddadeh, R., Weerakkody, V., Osmani, M., Thakker, D., & Kapoor, K. K. (2019b). Examining citizens’ perceived value of internet of things technologies in facilitating public sector services engagement. Government Information Quarterly, 36(2), 310–320. doi: 10.1016/j.giq.2018.09.009
  39. European Union. (2015). Country Profile History Strategy Legal Framework Actors Who’s Who Infrastructure Services for Citizens Services for Businesses WHAT’S INSIDE eGovernment in the European Union.
  40. Flanders, N. A., Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley Publishing Company.
  41. Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39. doi: 10.2307/3151312
  42. Ganotakis, P., & Love, J. H. (2011). R&D, product innovation, and exporting: evidence from UK new technology based firms. Oxford Economic Papers, 63(2), 279–306. doi: 10.1093/oep/gpq027
  43. Ghana Statistical Services. (2019). Population Projection.
  44. Gupta, K. P., Singh, S., & Bhaskar, P. (2016a). Citizen adoption of e-government: a literature review and conceptual framework. Electronic Government, an International Journal, 12(2), 160. doi:10.1504/eg.2016.076134
  45. Gupta, K. P., Singh, S., & Bhaskar, P. (2016b). Citizen adoption of e-government: a literature review and conceptual framework. Electronic Government, an International Journal, 12(2), 160. doi: 10.1504/eg.2016.076134
  46. Hair, J. F. (2019). When to use and how to report the results of PLS-SEM. 31(1), 2–24. doi: 10.1108/EBR-11-2018-0203
  47. Hair, J. F., Black, W., Babin, B. J., & Anderson, R. E. (2013). Multivariate Data Analysis: A Global Perspective (7th ed.). Pearson.
  48. Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. doi: 10.1108/EBR-11-2018-0203/FULL/HTML
  49. Hair, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014a). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121. doi: 10.1108/EBR-10-2013-0128
  50. Hair, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014b). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121. doi: 10.1108/EBR-10-2013-0128
  51. Hariri, A. A. (2014). Adoption of learning innovations within UK universities: Validating an extended and modified UTAUT model. [A Doctoral Dissertation]. University of Warwick. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.640959
  52. Hassan, S. H., Ramayah, T., Maghsoudi, A., & Mohamed, O. (2015). E-Lifestyle Conceptualization: Measurement Model Validation Using Variance Based Structural Equation Modeling (SEM-PLS). Modern Applied Science, 9(2). doi: 10.5539/mas.v9n2p307
  53. Helmond, A. (2015a). The Platformization of the Web: Making Web Data Platform Ready. Social Media + Society, 1(2), 1–11.
  54. Helmond, A. (2015b). The Platformization of the Web: Making Web Data Platform Ready. Social Media + Society, 1(2), 1–11.
  55. Holden, R. J., & Karsh B. T. (2010). The technology acceptance model: its past and its future in health care. Journal of Biomedical Informatics, 43(1), 159–172. https://www.sciencedirect.com/science/article/pii/S1532046409000963
  56. Holden, R. J., & Karsh, B.-T. (2010). The Technology Acceptance Model: Its past and its future in health care. Journal of Biomedical Informatics, 43(1), 159–172. doi: 10.1016/j.jbi.2009.07.002
  57. Hollenstein, H., & Woerter, M. (2008). Inter- and intra-firm diffusion of technology: The example of E-commerce. Research Policy, 37(3), 545–564. doi: 10.1016/j.respol.2007.12.006
  58. Holsapple, C. W., & Sasidharan, S. (2005a). The dynamics of trust in B2C e-commerce: A research model and agenda. Information Systems and E-Business Management, 3(4), 377–403. doi: 10.1007/S10257-005-0022-5
  59. Holsapple, C. W., & Sasidharan, S. (2005b). The dynamics of trust in B2C e-commerce: a research model and agenda. Information Systems and E-Business Management, 3(4), 377–403. doi: 10.1007/s10257-005-0022-5
  60. Khan, F., & Majeed, M. T. (2020). ICT and e-Government as the sources of economic growth in information age: Empirical evidence from South Asian economies. A Research Journal of South Asian Studies, 34(14). http://111.68.103.26/journals/index.php/IJSAS/article/view/3237
  61. Lallmahomed, M. Z. I., Lallmahomed, N., & Lallmahomed, G. M. (2017a). Factors influencing the adoption of e-Government services in Mauritius. Telematics and Informatics, 34(4), 57–72. doi: 10.1016/j.tele.2017.01.003
  62. Lallmahomed, M. Z. I., Lallmahomed, N., & Lallmahomed, G. M. (2017b). Factors influencing the adoption of e-Government services in Mauritius. Telematics and Informatics, 34(4), 57–72. doi: 10.1016/j.tele.2017.01.003
  63. Leuprecht, C., Skillicorn, D. B., & Tait, V. E. (2016). Beyond the Castle Model of cyber-risk and cyber-security. Government Information Quarterly, 33(2), 250–257. doi: 10.1016/j.giq.2016.01.012
  64. Loukis, E., & Charalabidis, Y. (2011). Why do eGovernment Projects Fail? Risk Factors of Large Information Systems Projects in the Greek Public Sector. International Journal of Electronic Government Research, 7(2), 59–77. doi: 10.4018/jegr.2011040104
  65. Lu, J., Yao, J. E., & Yu, C. S. (2005). Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology. The Journal of Strategic Information Systems, 14(3), 245–268. doi: 10.1016/J.JSIS.2005.07.003
  66. Mojumder, P., Chan, J., & Ghose, A. (2019). The Digital Sin City: An Empirical Study of Craigslist’s Impact on Prostitution Trends. Information Systems Research, Ahead of P.
  67. Munyoka, W., & Maharaj, M. S. (2019a). Privacy, security, trust, risk and optimism bias in e-government use: The case of two Southern African Development Community countries. SA Journal of Information Management, 21(1), 1–9. doi: 10.4102/sajim.v21i1.983
  68. Munyoka, W., & Maharaj, M. S. (2019b). Privacy, security, trust, risk and optimism bias in e-government use: The case of two Southern African Development Community countries. SA Journal of Information Management, 21(1), 1–9. doi: 10.4102/sajim.v21i1.983
  69. Mustaf, A., Ibrahim, O., & Mohammed, F. (2020). E-government adoption: A systematic review in the context of developing nations. International Journal of Innovation: IJI Journal, 8(1), 59–76.
  70. Nieborg, D. B. (2017). Free-to-play Games and App Advertising: The Rise of the Player Commodity. In J. F. Hamilton, R. Bodle, & E. Korin (Eds.), Exploration in Critical Studies of Advertising (pp. 28–41). Routledge.
  71. Nurfatiasari, S., & Aprianingsih, A. (2017). A pilot study of technology adoption: An analysis of consumers’ preference on future online grocery service. Asian Journal of Technology Management, 10(2), 74–89. https://search.proquest.com/openview/939171d46048ee24fcc1b2c202d7bf4c/1?pq-origsite=gscholar&cbl=2034124
  72. Omar, A., Weerakkody, V., & Sivarajah, U. (2017). Digitally enabled service transformation in UK public sector: A case analysis of universal credit. International Journal of Information Management, 37(4), 350–356. doi: 10.1016/j.ijinfomgt.2017.04.001
  73. Opara, M., & Rouse, P. (2019). The perceived efficacy of public-private partnerships: A study from Canada. Critical Perspectives on Accounting, 58, 77–99. doi: 10.1016/j.cpa.2018.04.004
  74. Orlikowski, J. W., & Scott, S. V. (2015). The Algorithm and the Crowd: Considering the Materiality of Service Innovation. MIS Quarterly, 39(1), 201–216.
  75. Pallant, J. F., & Tennant, A. (2007). An introduction to the Rasch measurement model: An example using the Hospital Anxiety and Depression Scale (HADS). British Journal of Clinical Psychology, 46(1), 1–18. doi: 10.1348/014466506X96931
  76. Pavlou, P. A. (2003a). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101–134. doi: 10.1080/10864415.2003.11044275
  77. Poell, T., Nieborg, D., & van Dijck, J. (2019a). Platformisation. Internet Policy Review, 8(4), 1–13. doi: 10.14763/2019.4.1425
  78. Porter, M. E. (1985). Technology and Competitive Advantage. Journal of Business Strategy, 5(3), 60. doi: 10.1108/EB039075/FULL/HTML
  79. Porter, M. E., & Millar, V. E. (1985). How Information gives you Competitive Advantage. Harvard Business Review, July-August, Information gives you Competitive Advantage. Harvard Business Review, July-August.
  80. Priandi, M., Fernandez, W., & Sandeep, M. S. (2019). The Role of Context in IS Research. Proceedings of the 12th International Conference on Theory and Practice of Electronic Governance - ICEGOV2019, 387–390. doi:10.1145/3326365.3326416
  81. Ramírez-Correa, P. E., Arenas-Gaitán, J., & Rondán-Cataluña, F. J. (2015). Gender and Acceptance of E-Learning: A Multi-Group Analysis Based on a Structural Equation Model among College Students in Chile and Spain. PLOS ONE, 10(10), e0140460. doi: 10.1371/journal.pone.0140460
  82. Ringle, C. M., Wende, S., & Will, A. (2005). Smart pls 2.0 m3, University of Hamburg. '^'eds.'): Book Smart Pls, 2, M3.
  83. Rodrigues, G., Sarabdeen, J., & Balasubramanian, S. (2016). Factors that Influence Consumer Adoption of E-government Services in the UAE: A UTAUT Model Perspective. Journal of Internet Commerce, 15(1), 18–39. doi: 10.1080/15332861.2015.1121460
  84. Rotter, J. B. (1967a). A new scale for the measurement of interpersonal trust1. Journal of Personality, 35(4), 651–665. doi: 10.1111/j.1467-6494.1967.tb01454.x
  85. Sheenan, J. (2006). Understanding Service Sector Innovation. Communications of the ACM, 49(7), 43–47.
  86. Sigwejo, A., & Pather, S. (2016). A citizen-centric framework for assessing E-government effectiveness. Electronic Journal of Information Systems in Developing Countries, 74(1), 1–27. doi: 10.1002/j.1681-4835.2016.tb00542.x
  87. Sørensen, C., Al-Taitoon, A., Kietzman, J., Pica, D., Wiredu, G. O., Elaluf-Calderwood, S., Boateng, K., Kakihara, M., & Gibson, D. (2008). Exploring enterprise mobility: Lessons from the field. Information, Knowledge, …, 7, 243–271.
  88. Tewari, A., Singh, R., Mathur, S., & Pande, S. (2023). A modified UTAUT framework to predict students’ intention to adopt online learning: moderating role of openness to change. The International Journal of Information and Learning Technology.
  89. Twizeyimana, J. D., & Andersson, A. (2019a). The public value of E-Government – A literature review. Government Information Quarterly, 36(2), 167–178. doi: 10.1016/j.giq.2019.01.001
  90. Twizeyimana, J. D., & Andersson, A. (2019b). The public value of E-Government – A literature review. Government Information Quarterly, 36(2), 167–178. doi: 10.1016/j.giq.2019.01.001
  91. Ubaidillah, Z., Shunsuke, M., & Kazuhisa, K. (2013). Analysis of Influences of ICT on Structural Changes in Japanese Commerce, Business Services and Office Supplies, and Personal Services Sectors Using Multivariate Analysis: 1985–2005. Asian Journal of Technology Management, 6(2), 102–111.
  92. Van Alstyne, M. W., Parker, G. G., & Choudary, S. P. (2016). Pipelines, Platforms, and the New Rules of Strategy. Harvard Business Review, April, 54–60.
  93. van der Graaf, S., & Ballon, P. (2019). Platform_Urbanisation. Technological Forecasting and Social Change, 142, 364–372.
  94. Venkatesh, V., Smith, R. H., Morris, M. G., Davis, G. B., Davis, F. D., & Walton, S. M. (2003a). User Acceptance Of Information Technology: Toward A Unified View 1. In User Acceptance of IT MIS Quarterly (Vol. 27, Issue 3).
  95. Venkatesh, V., Sykes, T. A., & Venkatraman, S. (2014). Understanding e-Government portal use in rural India: role of demographic and personality characteristics. Info Systems J, 24, 249–269.
  96. Venkatesh, V., & Zhang, X. (2010). Unified Theory of Acceptance and Use of Technology: U.S. Vs. China. Journal of Global Information Technology Management, 13(1), 5–27. doi: 10.1080/1097198X.2010.10856507
  97. Walsh, G., Evanschitzky, H., & Wunderlich, M. (2008). Identification and analysis of moderator variables. European Journal of Marketing, 42(9/10), 977–1004. doi: 10.1108/03090560810891109
  98. Wang, Y. D., & Emurian, H. H. (2005). Trust in E-Commerce. Journal of Electronic Commerce in Organizations, 3(4), 42–60. doi: 10.4018/jeco.2005100103
  99. Williams, M. D., Rana, N. P., Roderick, S., & Clement, M. (2016a). Moderators of Adoption of Electronic Government Gender, Age, and Frequency of Internet Use as Moderators of Citizens’ Adoption of Electronic Government. Twenty-Second Americas Conference on Information Systems, 1–10.
  100. Ye, H., & Kankanhalli, A. (2018). User service innovation on mobile phone platforms: Investigating impacts of lead userness, toolkit support, and design autonomy. MIS Quarterly: Management Information Systems, 42(1), 165–187. doi: 10.25300/MISQ/2018/12361
  101. Yoo, Y., Boland, R. J., Lyytinen, K., & Majchrzak, A. (2012). Organizing for innovation in the digitized world. Organization Science, 23(5), 1398–1408. doi: 10.1287/orsc.1120.0771