MOTIVATIONS FOR DIGITAL TRANSFORMATION IN GOVERNMENT: INSIGHTS FROM THE PUSH-PULL-MOORING MODEL AND AGE-RELATED INERTIA

References

• Ahmad, A., M. Alshurideh, B. Al Kurdi, A. Aburayya, and S. Hamadneh. 2021. Digital transformation metrics: a conceptual view. Journal of Management Information & Decision Sciences 24 (7):1–18. doi:10.54489/ijbas.v2i1.155.
   Google Scholar
• Anthopoulos, L., C. G. Reddick, I. Giannakidou, and N. Mavridis. 2016. Why e-government projects fail? An analysis of the Healthcare.Gov website. Government Information Quarterly 33 (1):161–173. doi:10.1016/j.giq.2015.07.003.
   Web of Science ®Google Scholar
• Bajwa, D. S., A. Rai, and I. Brennan. 1998. Key antecedents of executive information system success: A path analytic approach. Decision Support Systems 22 (1):31–43. doi:10.1016/S0167-9236(97)00032-8.
   Web of Science ®Google Scholar
• Bandyopadhyay, K., and C. Barnes. 2012. An analysis of factors affecting user acceptance of ERP Systems in the United States. International Journal of Human Capital and Information Technology Professionals 3 (1):1–14. doi:10.4018/jhcitp.2012010101.
   Google Scholar
• Bansal, H. S., S. F. Taylor, and Y. S. James. 2005. Migrating to new service providers: Toward a unifying framework of consumers’ switching behaviors. Journal of the Academy of Marketing Science 33 (1):96–115. doi:10.1177/0092070304267928.
   Web of Science ®Google Scholar
• Barthel, P., and T. Hess. 2019. Are Digital Transformation Projects Special? PACIS 2019 Proceedings, Xian, China, 30.
   Google Scholar
• Bateh, J., M. E. Castaneda, and J. E. Farah. 2013. Employee resistance to organizational change. International Journal of Management & Information Systems (IJMIS) 17 (2):113–116. doi:10.19030/ijmis.v17i2.7715.
   Google Scholar
• Berry, L. L., S. Kathleen, and D. Grewal. 2002. Understanding service convenience. Journal of Marketing 66 (3):1–17. doi:10.1509/jmkg.66.3.1.18505.
   Web of Science ®Google Scholar
• Bharadwaj, A., O. A. El Sawy, P. A. Pavlou, and N. Venkatraman. 2013. Digital business strategy: Toward a next generation of insights. MIS Quarterly 37 (2):471–82. doi:10.25300/MISQ/2013/37:2.3.
   Web of Science ®Google Scholar
• Birdi, K., P. Warr, and A. Oswald. 1995. Age differences in three components of employee well-being. Applied Psychology 44 (4):345–73. doi:10.1111/j.1464-0597.1995.tb01085.x.
   Web of Science ®Google Scholar
• Bogue, D. J. 1969. Principles of demography.1^st. New York: John Wiley & Sons.
   Google Scholar
• Bolognese, A. F. 2002. Employee resistance to organizational change. Retrieved November 14, 2006.
   Google Scholar
• Bousdekis, A., and D. Kardaras. 2020. Digital transformation of local government: A case study from Greece. 2020 IEEE 22nd Conference on Business Informatics, Antwerp, Belgium 2:131–40.
   Google Scholar
• Boyle, P., K. H. Halfacree, and V. Robinson. 1998. Exploring contemporary migration. 1st ed. London: Routledge.
   Google Scholar
• Chan, J. K. L., and L. Baum. 2007. Motivation factors of ecotourists in ecolodge accommodation: The push and pull factors. Asia Pacific Journal of Tourism Research 12 (4):349–64. doi:10.1080/10941660701761027.
   Google Scholar
• Chang, I. C., C. C. Liu, and K. Chen. 2014. The push, pull and mooring effects in virtual migration for social networking sites. Information Systems Journal 24 (4):323–46. doi:10.1111/isj.12030.
   Web of Science ®Google Scholar
• Chen, I. S. 2017. Computer self-efficacy, learning performance, and the mediating role of learning engagement. Computers in Human Behavior 72:362–370. doi:10.1016/j.chb.2017.02.059.
   Web of Science ®Google Scholar
• Clark, T. D., Jr, M. C. Jones, and C. P. Armstrong. 2007. The dynamic structure of management support systems: Theory development, research focus, and direction. MIS Quarterly 31 (3):579–615. doi:10.2307/25148808.
   Web of Science ®Google Scholar
• Compeau, D. R., and C. A. Higgins. 1995. Computer self-efficacy: Development of a measure and initial test. MIS Quarterly 19 (2):189–211. doi:10.2307/249688.
   Web of Science ®Google Scholar
• Correani, A., A. De Massis, F. Frattini, A. M. Petruzzelli, and A. Natalicchio. 2020. Implementing a digital strategy: Learning from the experience of three digital transformation projects. California Management Review 62 (4):37–56. doi:10.1177/0008125620934864.
   Web of Science ®Google Scholar
• Davis, M. M., and J. Heineke. 1998. How disconfirmation, perception and actual waiting times impact customer satisfaction. International Journal of Service Industry Management 9 (1):64–73. doi:10.1108/09564239810199950.
   Google Scholar
• Dickin, K. L., J. S. Dollahite, and J. P. Habicht. 2010. Job satisfaction and retention of community nutrition educators: The importance of perceived value of the program, consultative supervision, and work relationships. Journal of Nutrition Education and Behavior 42 (5):337–344. doi:10.1016/j.jneb.2009.08.008.
   PubMed Web of Science ®Google Scholar
• Dong, L., D. Neufeld, and C. Higgins. 2009. Top management support of enterprise systems implementations. Journal of Information Technology 24 (1):55–80. doi:10.1057/jit.2008.21.
   Web of Science ®Google Scholar
• Dotsenko, S., O. Illiashenko, S. Kamenskyi, and V. Kharchenko. 2019. Integrated model of knowledge management for security of information technologies: Standards ISO/IEC 15408 and ISO/IEC 18045. Information & Security 43 (1):305–17. doi:10.11610/isij.4323.
   Google Scholar
• European Commission. 2020. The EU budget powering the recovery plan for Europe. https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:52020DC0442&rid=9
   Google Scholar
• Fornell, C., and D. F. Larcker. 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18 (1):39–50. doi:10.1177/002224378101800104.
   Web of Science ®Google Scholar
• Gong, Y., J. Yang, and X. Shi. 2020. Towards a comprehensive understanding of digital transformation in government: Analysis of flexibility and enterprise architecture. Government Information Quarterly 37 (3):101487. doi:10.1016/j.giq.2020.101487.
   Web of Science ®Google Scholar
• Gupta, S. 2018. Organizational barriers to digital transformation. Stockholm, Sweden: School of Industrial Engineering and Management.
   Google Scholar
• Hariyanti, E., A. Djunaidy, and D. Siahaan. 2021. Information security vulnerability prediction based on business process model using machine learning approach. Computers & Security 110:102422. doi:10.1016/j.cose.2021.102422.
   Web of Science ®Google Scholar
• Hess, T., C. Matt, A. Benlian, and F. Wiesbock. 2016. Options for formulating a digital transformation strategy. MIS Quarterly Executive 15 (2):103–19.
   Web of Science ®Google Scholar
• Hsieh, J. K., Y. C. Hsieh, H. C. Chiu, and Y. C. Feng. 2012. Post-adoption switching behavior for online service substitutes: A perspective of the push–pull–mooring framework. Computers in Human Behavior 28 (5):1912–20. doi:10.1016/j.chb.2012.05.010.
   Web of Science ®Google Scholar
• Huang, D. L., P. L. P. Rau, G. Salvendy, F. Gao, and J. Zhou. 2011. Factors affecting perception of information security and their impacts on IT adoption and security practices. International Journal of Human-Computer Studies 69 (12):870–83. doi:10.1016/j.ijhcs.2011.07.007.
   Web of Science ®Google Scholar
• Ifinedo, P. 2007. An empirical study of ERP success evaluations by business and IT managers. Information Management & Computer Security 15 (4):270–82. doi:10.1108/09685220710817798.
   Google Scholar
• Ilvonen, I., S. Thalmann, M. Manhart, and C. Sillaber. 2018. Reconciling digital transformation and knowledge protection: A research agenda. Knowledge Management Research & Practice 16 (2):235–44. doi:10.1080/14778238.2018.1445427.
   Web of Science ®Google Scholar
• Johnson, R. D. 2005. An empirical investigation of sources of application-specific computer-self-efficacy and mediators of the efficacy—performance relationship. International Journal of Human-Computer Studies 62 (6):737–58. doi:10.1016/j.ijhcs.2005.02.008.
   Web of Science ®Google Scholar
• Kaura, V. 2013. Antecedents of customer satisfaction: A study of Indian public and private sector banks. International Journal of Bank Marketing 31 (3):167–86. doi:10.1108/02652321311315285.
   Google Scholar
• Keaveney, S. M. 1995. Customer switching behavior in service industries: An exploratory study. Journal of Marketing 59 (2):71–82. doi:10.1177/002224299505900206.
   Web of Science ®Google Scholar
• Kim, S., M. J. Choi, and J. S. Choi. 2020. Empirical study on the factors affecting individuals’ switching intention to augmented/virtual reality content services based on push-pull-mooring theory. Information 11 (1):25. doi:10.3390/info11010025.
   Google Scholar
• Kim, T. Y., H. Oh, and A. Swaminathan. 2006. Framing interorganizational network change: A network inertia perspective. Academy of Management Review 31 (3):704–20. doi:10.5465/amr.2006.21318926.
   Web of Science ®Google Scholar
• Kohnke, O. 2017. It’s not just about technology: The people side of digitization. Shaping the Digital Enterprise Springer.
   Google Scholar
• Kotter, J. P. 2007. Leading change: Why transformation efforts fail. Harvard Business Review 73:59–67.
   Google Scholar
• Kuhlmann, S., and M. Heuberger. 2023. Digital transformation going local: Implementation, impacts and constraints from a German perspective. Public Money & Management 43 (2):147–155. doi:10.1080/09540962.2021.1939584.
   Web of Science ®Google Scholar
• Kunze, F., S. Boehm, H. Bruch, and G. Hertel, Béatrice I.J. M. van der Hei. 2013. Age, resistance to change, and job performance. Journal of Managerial Psychology 28 (7/8):741–760. doi:10.1108/JMP-06-2013-0194.
   Web of Science ®Google Scholar
• Lacmanović, S. 2017. Measuring and managing employee engagement-the path to 2050. Conference Proceedings of the International Scientific Conference, Pula, Croatia, 387–410.
   Google Scholar
• Lam, W. 2005. Barriers to e-government integration. Journal of Enterprise Information Management 18 (5):511–30. doi:10.1108/17410390510623981.
   Google Scholar
• Lattuch, F., and S. Young. 2011. Young professionals’ perceptions toward organizational change. Leadership & Organization Development Journal 32 (6):605–27. doi:10.1108/01437731111161085.
   Web of Science ®Google Scholar
• Leclerc, F., B. H. Schmitt, and L. Dube. 1995. Waiting time and decision-making: Is time like money? Journal of Consumer Research 22 (1):110–19. doi:10.1086/209439.
   Web of Science ®Google Scholar
• Lee, E. S. 1966. A theory of migration. Demography 3 (1):47–57. doi:10.2307/2060063.
   Web of Science ®Google Scholar
• Lee, J. M., and H. J. Kim. 2020. Determinants of adoption and continuance intentions toward Internet-only banks. International Journal of Bank Marketing 38 (4):843–65. doi:10.1108/IJBM-07-2019-0269.
   Web of Science ®Google Scholar
• Le Mens, G., M. T. Hannan, and L. Pólos. 2015. Age-related structural inertia: A distance-based approach. Organization Science 26 (3):756–73. doi:10.1287/orsc.2015.0966.
   Web of Science ®Google Scholar
• Li, F. 2020. The digital transformation of business models in the creative industries: A holistic framework and emerging trends. Technovation 92:102012. doi:10.1016/j.technovation.2017.12.004.
   Web of Science ®Google Scholar
• Li, J., M. Liu, and X. Liu. 2016. Why do employees resist knowledge management systems? An empirical study from the status quo bias and inertia perspectives. Computers in Human Behavior 65:189–200. doi:10.1016/j.chb.2016.08.028.
   Web of Science ®Google Scholar
• Longino, C. F., Jr. 1992. The forest and the trees: Micro-level considerations in the study of geographic mobility in old age. In Elderly migration and population redistribution: A comparative study, ed. A. Rogers, 23–34. London: Bellhaven.
   Google Scholar
• Matt, C., T. Hess, and A. Benlian. 2015. Digital Transformation Strategies. Business & Information Systems Engineering 57 (5):339–43. doi:10.1007/s12599-015-0401-5.
   Web of Science ®Google Scholar
• Mergel, I., N. Edelmann, and N. Haug. 2019. Defining digital transformation: Results from expert interviews. Government Information Quarterly 36 (4):101385. doi:10.1016/j.giq.2019.06.002.
   Web of Science ®Google Scholar
• Miner, A. S. 1991. Organizational evolution and the social ecology of jobs. American Sociological Review 56 (6):772–85. doi:10.2307/2096255.
   Web of Science ®Google Scholar
• Moon, B. 1995. Paradigms in migration research: Exploring ‘moorings’ as a schema. Progress in Human Geography 19 (4):504–24. doi:10.1177/030913259501900404.
   PubMed Web of Science ®Google Scholar
• O’Leary, D. E. 2020. Evolving information systems and technology research issues for COVID-19 and other pandemics. Journal of Organizational Computing and Electronic Commerce 30 (1):1–8. doi:10.1080/10919392.2020.1755790.
   Web of Science ®Google Scholar
• Oracle. 2020. Achieving digital superiority. https://www.oracle.com/a/ocom/docs/media-entertainment-achieving-digital-superiority.pdf
   Google Scholar
• Parumasur, S. B. 2013. The importance of teamwork, continuous top management support and training in bringing about TQM. Journal of Economics and Behavioral Studies 5 (9):639–51. doi:10.22610/jebs.v5i9.437.
   Google Scholar
• Philip, J. 2021. Viewing digital transformation through the lens of transformational leadership. Journal of Organizational Computing and Electronic Commerce 31 (2):114–129. doi:10.1080/10919392.2021.1911573.
   Web of Science ®Google Scholar
• Pittaway, J. J., and A. R. Montazemi. 2020. Know-how to lead digital transformation: The case of local governments. Government Information Quarterly 37 (4):101474. doi:10.1016/j.giq.2020.101474.
   Web of Science ®Google Scholar
• Priyono, A., A. Moin, and V. N. A. O. Putri. 2020. Identifying digital transformation paths in the business model of SMEs during the COVID-19 pandemic. Journal of Open Innovation: Technology, Market, and Complexity 6 (4):104. doi:10.3390/joitmc6040104.
   Google Scholar
• Qian, H., and Y. Wu. 2014. The study on the effect of waiting time for medical treatment and medical convenience on patient perceived value based on an empirical research in China. 2014 International Conference on Global Economy, Commerce and Service Science, Phuket, Thailand, 221–24. Atlantis Press.
   Google Scholar
• Ravenstein, E. G. 1885. The laws of migration. Journal of the Statistical Society of London 48 (2):167–235. doi:10.2307/2979181.
   Google Scholar
• Shahim, A. 2021. Security of the digital transformation. Computers & Security 108:102345. doi:10.1016/j.cose.2021.102345.
   Web of Science ®Google Scholar
• Sharma, R. D., and J. Jyoti. 2009. Job satisfaction of university teachers: An empirical study. Journal of Services Research 9 (2):51–80.
   Google Scholar
• Sheth, J. N., B. I. Newman, and B. L. Gross. 1991. Why we buy what we buy: A theory of consumption values. Journal of Business Research 22 (2):159–70. doi:10.1016/0148-2963(91)90050-8.
   Web of Science ®Google Scholar
• Smerek, R. E., and M. Peterson. 2007. Examining Herzberg’s theory: Improving job satisfaction among non-academic employees at a university. Research in Higher Education 48 (2):229–50. doi:10.1007/s11162-006-9042-3.
   Web of Science ®Google Scholar
• Soto-Acosta, P. 2020. COVID-19 pandemic: Shifting digital transformation to a high-speed gear. Information Systems Management 37 (4):260–66. doi:10.1080/10580530.2020.1814461.
   Web of Science ®Google Scholar
• Stewart, H. 2022. Digital transformation security challenges. Journal of Computer Information Systems 63 (4):919–36. doi:10.1080/08874417.2022.2115953.
   Web of Science ®Google Scholar
• Sun, Y., D. Liu, S. Chen, X. Wu, X. L. Shen, and X. Zhang. 2017. Understanding users’ switching behavior of mobile instant messaging applications: An empirical study from the perspective of push-pull-mooring framework. Computers in Human Behavior 75:727–38. doi:10.1016/j.chb.2017.06.014.
   Web of Science ®Google Scholar
• Susanty, A., A. Handoko, and N. B. Puspitasari. 2020. Push-pull-mooring framework for e-commerce adoption in small and medium enterprises. Journal of Enterprise Information Management 33 (2):381–406. doi:10.1108/JEIM-08-2019-0227.
   Web of Science ®Google Scholar
• Tabrizi, B., E. Lam, K. Girard, and V. Irvin. 2019. Digital transformation is not about technology. Harvard Business Review 13:1–6.
   Google Scholar
• Tang, Z., and L. Chen. 2020. An empirical study of brand microblog users’ unfollowing motivations: The perspective of push-pull-mooring model. International Journal of Information Management 52:102066. doi:10.1016/j.ijinfomgt.2020.102066.
   Web of Science ®Google Scholar
• Ting, D. S. W., L. Carin, V. Dzau, and T. Y. Wong. 2020. Digital technology and COVID-19. Nature Medicine 26 (4):459–61. doi:10.1038/s41591-020-0824-5.
   PubMed Web of Science ®Google Scholar
• Torkzadeh, G., J. C. J. Chang, and G. W. Hansen. 2006. Identifying issues in customer relationship management at Merck-Medco. Decision Support Systems 42 (2):1116–30. doi:10.1016/j.dss.2005.10.003.
   Web of Science ®Google Scholar
• Vial, G. 2019. Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems 28 (2):118–44. doi:10.1016/j.jsis.2019.01.003.
   Web of Science ®Google Scholar
• Warner, K. S. R., and M. Wäger. 2019. Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Planning 52 (3):326–49. doi:10.1016/j.lrp.2018.12.001.
   Web of Science ®Google Scholar
• Yang, W., J. Liu, L. Li, Q. Zhou, L. Ji, and Y. Su. 2021. How could policies facilitate digital transformation of innovation ecosystem: A multiagent model. Complexity 2021:1–19. doi:10.1155/2021/8835067.
   Web of Science ®Google Scholar
• Young, R., and E. Jordan. 2008. Top management support: Mantra or necessity? International Journal of Project Management 26 (7):713–25. doi:10.1016/j.ijproman.2008.06.001.
   Google Scholar