PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

The power of ADKAR change model in innovative technology acceptance under the moderating effect of culture and open innovation

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Background: Continuous change is a vital factor for organization’s sustainable growth and success. The implementation of modern information technology in business has become a core need of the hour. This study endeavours to answer how to cope with resistance to change when implementing new technology in the banking sector. A theoretical model has been developed with the blend of ADKAR change model, Technology Acceptance Model (TAM), and Hofstede dimensions of national culture to investigate the impact of the ADKAR change model on Technology Acceptance under the moderation of two national culture’s dimensions. Materials and Methods: In order to collect data, 500 self-administered questionnaires were dropped personally in five major banks of five cities of Pakistan using the convenience-based employee intercept sampling technique. The validated response rate was 68% by having 340 fit questionnaires for analysis using covariance-based structure equation modelling with the help of SmartPLS. Results: The results uncover the significant existence of covariance between dimensions of the ADKAR change model and technology acceptance model. The findings are statistically significant, inferring the influential role of change management on technology adoption. Conclusion: The study results provide promising implications based on these conclusions and findings for both theoretical aspects of these different models and practitioners.
Czasopismo
Rocznik
Strony
485--502
Opis fizyczny
Bibliogr. 46 poz., rys., tab.
Twórcy
  • Institute of Business & Management, University of Engineering and Technology, Lahore, Pakistan
autor
  • Institute of Business & Management, University of Engineering and Technology, Lahore, Pakistan
autor
  • Department of Business Studies, Namal Institute, Mianwali, Pakistan
  • Department of Management Sciences, Khwaja Freed University of Engineering and Information Technology (KFUEIT), Rahim Yar Khan, Punjab, Pakistan
Bibliografia
  • 1. Alhirz H., Sajeev A.S.M., 2015. Do cultural dimensions differentiate ERP acceptance? A study in the context of Saudi Arabia. Information Technology & People, 28(1), 163-194. http://doi.org/10.1108/ITP-07-2013-0127
  • 2. Al-Rahmi W.M., Yahaya N., Aldraiweesh A.A., Alamri M.M., Aljarboa N.A., Alturki U., Aljeraiwi A.A., 2019. Integrating technology acceptance model with innovation diffusion theory: An empirical investigation on students’ intention to use E-learning systems. IEEE Access, 7, 26797-26809. http://doi.org/10.1109/ACCESS.2019.2899368
  • 3. Baptista G., Oliveira T., 2015. Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. Computers in Human Behavior, 50, 418-430. http://doi.org/10.1016/j.chb.2015.04.024
  • 4. Bhagat R.S., Kedia B.L., Harveston P.D., Triandis H.C., 2002. Cultural variations in the cross-border transfer of organizational knowledge: An integrative framework. Academy of management review, 27(2), 204-221. http://doi.org/10.5465/amr.2002.6588000
  • 5. Bogers M., Chesbrough H., Moedas C., 2018. Open innovation: research, practices, and policies. California Management Review, 60(2), 5-16. http://doi.org/10.1177/0008125617745086
  • 6. Boonsiritomachai W., Pitchayadejanant K., 2017. Determinants affecting mobile banking adoption by generation Y based on the Unified Theory of Acceptance and Use of Technology Model modified by the Technology Acceptance Model concept. Kasetsart Journal of Social Sciences. Reterived From: https://www.sciencedirect.com
  • 7. Brettel M., Chomik C., Flatten T.C., 2015. How organizational culture influences innovativeness, proactiveness, and risk‐taking: Fostering entrepreneurial orientation in SMEs. Journal of small business management, 53(4), 868-885. https://www.tandfonline.com/doi/pdf/10.1111/jsbm.12108?needAccess=true
  • 8. Burnes B., 2004. Kurt Lewin and complexity theories: back to the future?. Journal of change management, 4(4), 309-325. http://doi.org/10.1080/1469701042000303811
  • 9. Calder A.M., 2013. Organizational change: Models for successfully implementing change. Undergraduate Honors Theses. Paper 144.
  • 10. Chuttur M.Y., 2009. Overview of the technology acceptance model: Origins, developments and future directions. Working Papers on Information Systems, 9(37), 9-37. http://adam.co/lab/pdf/test/pdfs/TAMReview.pdf
  • 11. Cooper D.R., Schindler P.S., 2001. Business Research Methods Boston: McGrawHiIIln\'in
  • 12. Davis F.D., 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340. http://doi.org/10.2307/249008
  • 13. Diefenbach T., 2007. The managerialistic ideology of organizational change management. Journal of organizational change management, 20(1) 126-144. http://doi.org/10.1108/09534810710715324
  • 14. Ferraris A., Erhardt N., Bresciani S., 2019. Ambidextrous work in smart city project alliances: unpacking the role of human resource management systems. The International Journal of Human Resource Management, 30(4), 680-701. http://doi.org/10.1080/09585192.2017.1291530
  • 15. Fletcher-Brown J., Carter D., Pereira V., Chandwani R., 2020. Mobile technology to give a resource-based knowledge management advantage to community health nurses in an emerging economies context. Journal of Knowledge Management. http://doi.org/10.1108/JKM-01-2020-0018
  • 16. Fomin V.V., Heldal I., Wijkmark C.H., 2018, September. Technology Adoption Failure Through the Prism of Organizational Regulation Model. In Norsk konferanse for organisasjoners bruk at IT, 26, 1. https://ojs.bibsys.no/index.php/Nokobit/article/view/534/454
  • 17. Gkoutzinis A.A., 2006. Internet banking and the law in Europe: Regulation, financial integration and electronic commerce. Cambridge University Press. Reterived From: books.google.com
  • 18. Gu D., Khan S., Khan I.U., Khan S.U., 2019. Understanding mobile tourism shopping in Pakistan: an integrating framework of innovation diffusion theory and technology acceptance model. Mobile Information Systems, 2019. http://doi.org/10.1155/2019/1490617
  • 19. Hadi N.U., Abdullah N., Sentosa I., 2016. An easy approach to exploratory factor analysis: Marketing perspective. Journal of Educational and Social Research, 6(1), 215. http://doi.org/10.5901/jesr.2016.v6n1p215
  • 20. Hiatt J., 2006. ADKAR: a model for change in business, government, and our community. Prosci. Reterived From: books.google.com
  • 21. Hu P.J., Chau P.Y., Sheng O.R.L., Tam K.Y., 1999. Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of management information systems, 16(2), 91-112. http://doi.org/10.1080/07421222.1999.11518247
  • 22. Hult G.T.M., Hair Jr. J.F., Proksch D., Sarstedt M., Pinkwart A., Ringle C.M., 2018. Addressing endogeneity in international marketing applications of partial least squares structural equation modeling. Journal of International Marketing, 26(3), 1-21. http://doi.org/10.1509/jim.17.0151
  • 23. Kashada A., Ehtiwsh E., Nakkas H., 2020. The role of technology acceptance model (TAM) towards information systems implementation success: A Meta-Analysis. The International Journal of Engineering and Science (IJES), 9(01), 30-36.
  • 24. Lai C., Wang Q., Li X., Hu X., 2016. The influence of individual espoused cultural values on self-directed use of technology for language learning beyond the classroom. Computers in Human Behavior, 62, 676-688. http://doi.org/10.1016/j.chb.2016.04.039
  • 25. Larsson O.S.K.A.R., 2015. Reliability analysis. Lecture notes, Lund University.
  • 26. Lauer T., 2010. Change management. Springer Berlin Heidelberg. https://link.springer.com/book/10.1007%2F978-3-662-62187-5
  • 27. Lee S., Kim W., Lee H., Jeon J., 2016. Identifying the structure of knowledge networks in the US mobile ecosystems: patent citation analysis. Technology Analysis & Strategic Management, 28(4), 411-434. https://doi.org/10.1080/09537325.2015.1096336
  • 28. Lee Y., Kozar K.A., Larsen K.R., 2003. The technology acceptance model: Past, present, and future. Communications of the Asso ciation for information systems, 12(1), 50. http://doi.org/10.17705/1CAIS.01250
  • 29. Marcoulides K.M., Yuan K.H., 2017. New ways to evaluate goodness of fit: A note on using equivalence testing to assess structural equation models. Structural Equation Modeling: A Multidisciplinary Journal, 24(1), 148-153. http://doi.org/10.1080/10705511.2016.1225260
  • 30. Melchers R.E., Beck A.T., 2018. Structural reliability analysis and prediction. John wiley & sons. Reterived From: books.google.com
  • 31. Mugo D.G., Njagi K., Chemwei B., Motanya J.O., 2017. The technology acceptance model (TAM) and its application to the utilization of mobile learning technologies. Journal of Advances in Mathematics and Computer Science, 1-8. https://karuspace.karu.ac.ke/handle/20.500.12092/2444
  • 32. Mulaik S.A., James L.R., Van Alstine J., Bennett N., Lind S., Stilwell C.D., 1989. Evaluation of goodness-of-fit indices for structural equation models. Psychological bulletin, 105(3), 430. http://doi.org/10.1037/0033-2909.105.3.430
  • 33. Petruzzelli A.M., Rotolo D., Albino V., 2015. Determinants of patent citations in biotechnology: An analysis of patent influence across the industrial and organizational boundaries. Technological Forecasting and Social Change, 91, 208- 221. http://doi.org/10.1016/j.techfore.2014.02.018
  • 34. Pinto J.K., Mantel S.J., 1990. The causes of project failure. IEEE transactions on engineering management, 37(4), 269-276. http://doi.org/10.1109/17.62322
  • 35. Rafique H., Almagrabi A.O., Shamim A., Anwar F., Bashir A.K., 2020. Investigating the acceptance of mobile library applications with an extended technology acceptance model (TAM). Computers & Education, 145, 103732. http://doi.org/10.1016/j.compedu.2019.103732
  • 36. Rahman M.M., Lesch M.F., Horrey W.J., Strawderman L., 2017. Assessing the utility of TAM, TPB, and UTAUT for advanced driver assistance systems. Accident Analysis & Prevention, 108, 361-373. http://doi.org/10.1016/j.aap.2017.09.011
  • 37. Ruele V.T., 2015. An investigation into the management of change in Design and Technology: a qualitative inquiry based on the implementation of a new curriculum for senior secondary schools in Botswana (Doctoral dissertation, Loughborough University). Reterived From: http://pstorage-loughborough53465.s3.amazonaws.com/16969943/Thesis2015Ruele.pdf
  • 38. Sekaran U., Bougie R., 2016. Research methods for business: A skill building approach. John Wiley & Sons.
  • 39. Shehab E.M., Sharp M.W., Supramaniam L., Spedding, T.A., 2004. Enterprise resource planning. Business process management journal, 10(4), 359-386. http://doi.org/10.1108/14637150410548056
  • 40. Shima N., Mohamadali A.K., 2017. Examining the factors affecting willingness to use electronic banking: the integration of TAM and TPB models with electronic service quality (case study: Eghtesad Novin Bank). Journal of Fundamental and Applied Sciences, 9(1S), 824-841. http://doi.org/10.4314/jfas.v9i1s.736
  • 41. Shore B., Venkatachalam A.R., 1996. Role of national culture in the transfer of information technology. The Journal of Strategic Information Systems, 5(1), 19-35. http://doi.org/10.1016/S0963-8687(96)80021-7
  • 42. Siyal A.W., Donghong D., Umrani W.A., Siyal S., Bhand S., 2019. Predicting mobile banking acceptance and loyalty in Chinese bank customers. SAGE Open, 9(2), 2158244019844084. http://doi.org/10.1177/2158244019844084
  • 43. Thakkar J.J., 2020. Structural Equation Modelling: Application for Research and Practice (with AMOS and R) (Vol. 285). Springer Nature. Reterived From: books.google.com
  • 44. Vörös T., Choudrie J., 2011. Uncertainty avoidance and technology acceptance in emerging economies: A comparative study. In Proceedings of the 4th Annual SIG GlobDev Workshop. http://archive.ceu.hu/sites/default/files/publications/31-revised-voros-uncertaintyavoidance-and-techacceptance.pdf
  • 45. West J., Bogers M., 2017. Open inn ovation: current status and research opportunities. Innovation, 19(1), 43-50. http://doi.org/10.1080/14479338.2016.1258995
  • 46. Yun J.J., Won D., Jeong E., Park K., Yang J., Park J., 2016. The relationship between technology, business model, and market in autonomous car and intelligent robot industries. Technological Forecasting and Social Change, 103, 142-155. http://doi.org/10.1016/j.techfore.2015.11.016
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-41cf6e03-fd95-45ed-a13f-73ae9c4b979f
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.