Exploring Root Problems in Enterprise System Adoption From an Employee Age Perspective: A People-Process-Technology Framework

References

• Awa, H. O., & Ojiabo, O. U. (2016). A model of adoption determinants of ERP within T-O-E framework. Information Technology & People, 29(4), 901–930. doi:10.1108/ITP-03-2015-0068
   Web of Science ®Google Scholar
• Basten, S., Lutz, W., & Scherbov, S. (2013). Very long range global population scenarios to 2300 and the implications of sustained low fertility. Demographic Research, 28(39), 1145–1166. doi:10.4054/DemRes.2013.28.39
   Google Scholar
• Boersch-Supan, A. (2008). The impact of global ageing on labour, product and capital markets. In M. Cabrera & N. Malanowski (Eds.), Information and communication technologies for active ageing (pp. 7–34). Amsterdam, The Netherlands: IOS Press.
   Google Scholar
• Coleman, D. (2001). Population ageing: An unavoidable future. Social biology and human affairs. The Journal of the Biosocial Society, 66, 1–10.
   Google Scholar
• Conen, W., van Dalen, H., Henkens, K., & Schippers, J. J. (2011). Activating senior potential in ageing Europe: An employers’ perspective. The Hague, The Netherlands: Netherlands Interdisciplinary Demographic Institute.
   Google Scholar
• Denzin, N. K. (1978). The research act (2nd ed.). New York, NY: McGraw-Hill.
   Google Scholar
• Dey, I. (1993). Qualitative data analysis. London, UK: Routledge.
   Google Scholar
• European Commission. (2015). The 2015 Ageing Report. Economic and budgetary projections for the 28 EU Member States (2013–2060). European Economy, 3, 2015.
   Google Scholar
• Gable, G. G., Sedera, D., & Chan, T. (2008). Re-conceptualizing information system success: The IS-impact measurement model. Journal of the Association for Information Systems, 9(7), 377–408.
   Web of Science ®Google Scholar
• Hakim, A., & Hakim, H. (2010). A practical model on controlling the ERP implementation risks. Information Systems, 35, 204–214. doi:10.1016/j.is.2009.06.002
   Web of Science ®Google Scholar
• Hill, R., Beynon-Davies, P., & Williams, M. D. (2008). Older people and internet engagement: Acknowledging social moderators of internet adoption, access and use. Information Technology & People, 21(3), 244–266. doi:10.1108/09593840810896019
   Google Scholar
• Ilmarinen, J. (2001). Ageing workers. Occupational and Environmental Medicine, 58, 546–552. doi:10.1136/oem.58.8.546
   PubMed Web of Science ®Google Scholar
• Jick, T. D. (1979). Mixing qualitative and quantitative methods: Triangulation in action. Administrative Science Quarterly, 24, 602–611. doi:10.2307/2392366
   Web of Science ®Google Scholar
• Kaniadakis, A. (2012). ERP implementation as a broad socio-economic phenomenon: The agora of techno-organisational change. Information Technology & People, 25(3), 259–280. doi:10.1108/09593841211254321
   Web of Science ®Google Scholar
• Keong, M. L., Ramayah, T., Kurnia, S., & Chiun, L. M. (2012). Explaining intention to use an enterprise resource planning (ERP) system: An extension of the UTAUT model. Business Strategy Series, 13(4), 173–180. doi:10.1108/17515631211246249
   Google Scholar
• Khoumbati, K., Themistocleous, M., & Irani, Z. (2006). Evaluating the adoption of enterprise application integration in healthcare organisations. Journal of Management Information Systems, 22(4), 69–108. doi:10.2753/MIS0742-1222220404
   Web of Science ®Google Scholar
• Kim, Y., Lee, Z., & Gosain, S. (2005). Impediments to successful ERP implementation process. Business Process Management Journal, 11(2), 158–170. doi:10.1108/14637150510591156
   Google Scholar
• Kowal, J., & Roztocki, N. (2015). Job satisfaction of IT professionals in Poland: Does business competence matter? Journal of Business Economics and Management, 16(5), 995–1012. doi:10.3846/16111699.2014.924988
   Web of Science ®Google Scholar
• Kremers, M., & van Dissel, H. (2000). ERP system migrations. Communications of the ACM, 43(4), 53–56. doi:10.1145/332051.332072
   Web of Science ®Google Scholar
• Lech, P. (2016). Causes and remedies for the dominant risk factors in enterprise system implementation projects: The consultants’ perspective. SpringerPlus, 5(1), 238. doi:10.1186/s40064-016-1862-9
   PubMed Web of Science ®Google Scholar
• Markus, M. L., Axline, S., Petrie, D., & Tanis, C. (2000). Learning from adopters’ experiences with ERP: Problems encountered and success achieved. Journal of Information Technology, 15(4), 245–266. doi:10.1080/02683960010008944
   Web of Science ®Google Scholar
• McMichael, A. J., McKee, M., Shkolnikov, V., & Valkonen, T. (2004). Mortality trends and setbacks: Global convergence or divergence. Public Health. The Lancet, 363, 1155–1159.
   Google Scholar
• McMorrow, K., & Roeger, W. (2004). The economic and financial market consequences of global ageing. Berlin Heidelberg, Germany: Springer Verlag.
   Google Scholar
• Momoh, A., Roy, R., & Shehab, E. (2010). Challenges in enterprise resource planning implementation: State-of-the-art. Business Process Management Journal, 16(4), 537–565. doi:10.1108/14637151011065919
   Google Scholar
• Nah, F., Tan, X., & Teh, S. H. (2004). An empirical investigation on end-users’ acceptance of enterprise systems. Information Resources Management Journal, 17(3), 32–53. doi:10.4018/IRMJ
   Google Scholar
• Pinal, D., Zurrón, M., & Díaz, F. (2015). Age-related changes in brain activity are specific for high order cognitive processes during successful encoding of information in working memory. Frontiers in Aging Neuroscience, 7(75), 1–11. doi:10.3389/fnagi.2015.00075
   PubMed Web of Science ®Google Scholar
• Roztocki, N., & Weistroffer, H. R. (2011). From the special issue editors: Information technology in transition economies. Information Systems Management, 28(3), 188–191. doi:10.1080/10580530.2011.585580
   Web of Science ®Google Scholar
• Sammon, D., & Adam, F. (2010). Project preparedness and the emergence of implementation problems in ERP projects. Information & Management, 47(1), 1–8. doi:10.1016/j.im.2009.09.002
   Web of Science ®Google Scholar
• Skirbekk, V. (2008). Age and productivity potential: A new approach based on ability levels and industry-wide task demand. Population and Development Review, 34, 191–207.
   Web of Science ®Google Scholar
• Soh, C., Chua, C. E. H., & Singh, H. (2011). Managing diverse stakeholders in enterprise systems projects: A control portfolio approach. Journal of Information Technology, 26(10), 16–31. doi:10.1057/jit.2010.13
   Web of Science ®Google Scholar
• Soja, E., Paliwoda-Pękosz, G., & Soja, P. (2015, June 10–11). Perception of difficulties during enterprise system adoption and use: The role of employees age. In Proceedings of the 10th International Conference Accounting and Management Information Systems AMIS 2015, Bucharest, Romania (pp. 50–56). The Bucharest University of Economic Studies.
   Google Scholar
• Soja, E., Soja, P., & Paliwoda-Pękosz, G. (2016). Solving problems during an enterprise system adoption: Does employees’ age matter? In S. Wrycza (Ed.), Information systems: Development, research, applications, education. Lecture notes in business information processing (Vol. 264, pp. 131–143). Cham, Switzerland: Springer International Publishing.
   Google Scholar
• Soja, P. (2008). Difficulties in enterprise system implementation in emerging economies: Insights from an exploratory field study in Poland. Information Technology for Development, 14(1), 31–51. doi:10.1002/itdj.20086
   Google Scholar
• Soja, P., & Paliwoda-Pękosz, G. (2009). What are real problems in enterprise system adoption? Industrial Management & Data Systems, 109(5), 610–627. doi:10.1108/02635570910957614
   Web of Science ®Google Scholar
• Soja, P., & Paliwoda-Pękosz, G. (2013). Comparing benefits from enterprise system adoption in transition and developed economies: An ontology-based approach. Information Systems Management, 30(3), 198–217. doi:10.1080/10580530.2013.794606
   Web of Science ®Google Scholar
• Soja, P., Themistocleous, M., Cunha, P. R., & Silva, M. M. (2015). Determinants of enterprise system adoption across the system lifecycle: Exploring the role of economic development. Information Systems Management, 32(4), 341–363. doi:10.1080/10580530.2015.1080005
   Web of Science ®Google Scholar
• Themistocleous, M., Irani, Z., O’Keefe, R. M., & Paul, R. (2001, January). ERP problems and application integration issues: An empirical survey. In Proceedings of the 34th Hawaii International Conference on System Sciences, Maui, HI.
   Google Scholar
• United Nations. (2015). World population prospects: The 2015 revision. New York, NY: Department of Economic and Social Affairs, Population Division.
   Google Scholar
• van Dalen, H. P., Henkens, K., & Schippers, J. (2010). Productivity of older workers: Perceptions of employers and employees. Population and Development Review, 36(3), 309–330. doi:10.1111/j.1728-4457.2010.00331.x
   PubMed Web of Science ®Google Scholar
• Volkoff, O., Strong, D. M., & Elmes, M. B. (2005). Understanding enterprise systems-enabled integration. European Journal of Information Systems, 14(2), 110–120. doi:10.1057/palgrave.ejis.3000528
   Web of Science ®Google Scholar
• Wagner, N., Hassanein, K., & Head, M. (2010). Computer use by older adults: A multi-disciplinary review. Computers in Human Behavior, 26, 870–882. doi:10.1016/j.chb.2010.03.029
   Web of Science ®Google Scholar
• Weerakkody, V., Dwivedi, Y. K., El-Haddadeh, R., Almuwil, A., & Ghoneim, A. (2012). Conceptualizing e-inclusion in Europe: An explanatory study. Information Systems Management, 29, 305–320. doi:10.1080/10580530.2012.716992
   Web of Science ®Google Scholar
• Wright, S., & Wright, A. M. (2002). Information system assurance for enterprise resource planning systems: Unique risk considerations. Journal of Information Systems, 16(s–1), 99–113. doi:10.2308/jis.2002.16.s-1.99
   Google Scholar