Mediating Role of Perceived Attributes and Perceived Benefits of ABC System in the Relationship between Organizational Culture and the Intention to Adopt ABC System
Downloads
Research findings have signified that organizational culture shapes the goals, mission, and visions of the organization. Also, many researchers have found that organizational culture could have significant effect on ABC system adoption intention. However, it has been indicated by some researchers that firms are still unlikely to adopt ABC system, given that they might have not been convinced about its attributes and benefits and thus the low level of ABC system adoption. To offer theoretical insight on this. Based on technology acceptance model this paper examines the mediating role of perceived attributes and perceived benefits of ABC system on the connection between organizational culture and intention to adopt ABC system via a comprehensive review of literature on the subject matter. The paper presented a conceptual argument and found that the connection between organizational culture and intention to adopt ABC system could be mediated by perceived attributes and perceived benefits of ABC system. This implies that while organizational culture is a significant predictor of ABC system adoption intention, perceived attributes and perceived benefits explicate the relationship between organizational culture and intention to adopt ABC system. To extend this finding, future research direction could focus on collecting and analyzing relevant data to examine the relationships and enrich the extant body of knowledge.
Abdel-Kader, M., & Luther, R. (2008). The impact of firm characteristics on management accounting practices: A UK-based empirical analysis. The British Accounting Review, 40(1), 2–27.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.
Al Kisher, A. T. O. (2013). Factors influencing environmental management accounting adoption in oil and manufacturing firms in Libya (Doctoral dissertation). Universiti Utara Malaysia.
Askarany, D. (2005). Diffusion of Innovations in Organizations. In Encyclopedia of Information Science and Technology, First Edition, 853-857. IGI Global.
Askarany, D., Brierley, J. A., & Yazdifar, H. (2012). The effect of innovation characteristics on activity-based costing adoption. International Journal of Managerial and Financial Accounting, 4(3), 291–313.
Askarany, D., & Smith, M. (2000). A critical evaluation of the diffusion of cost and management accounting innovations. In Proceedings of the 2000 IEEE International Conference on Management of Innovation and Technology. ICMIT 2000. Management in the 21st Century’ (Cat. No. 00EX457), 1, 59–64. IEEE.
Askarany, D., Smith, M., & Yazdifar, H. (2007). Attributes of innovation and the implementation of managerial tools: an activity-based management technique. International Journal of Business and Systems Research, 1(1), 98–114.
Askarany, D., & Yazdifar, H. (2007). Why ABC is not widely implemented? International Journal of Business, 7(1), 93–98.
Askarany, D., & Yazdifar, H. (2010). A comparative investigation into the diffusion of management accounting innovations in the UK, Australia and New Zealand. Research Executives Summaries Series, 5(9).
Askarany, D., & Yazdifar, H. (2012). An investigation into the mixed reported adoption rates for ABC: Evidence from Australia, New Zealand and the UK. International Journal of Production Economics, 135(1), 430–439.
Baird, K. M., Harrison, G. L., & Reeve, R. C. (2004). Adoption of activity management practices: a note on the extent of adoption and the influence of organizational and cultural factors. Management Accounting Research, 15(4), 383–399. https://doi.org/10.1016/j.mar.2004.07.002
Baird, K. M., Harrison, G. L., & Reeve, R. C. (2007). Success of activity management practices: the influence of organizational and cultural factors. Accounting & Finance, 47(1), 47–67.
Bartolomeo, M., Bennett, M., Bouma, J. J., Heydkamp, P., James, P., & Wolters, T. (2000). Environmental management accounting in Europe: current practice and future potential. European Accounting Review, 9(1), 31–52.
Beatty, R. C., Shim, J. P., & Jones, M. C. (2001). Factors influencing corporate web site adoption: a time-based assessment. Information & Management, 38(6), 337–354.
Booth, P., & Giacobbe, F. (1999). Activity-based costing in Australian manufacturing firms: the ‘state of play.’ Contemporary Perspectives on Management Accounting, 35–61.
Cameron, K. S., & Quinn, R. E. (1999). Diagnosing and changing organizational culture: based on the competing values framework: Addison-Wesley Publishing.
Chang, H.-C. (2007). Environmental management accounting within universities: current state and future potential (RMIT University). Retrieved from https://researchbank.rmit.edu.au/eserv/rmit:9894/Chang.pdf
Charaf, K., & Bescos, P.-L. (2013). The role of organizational and cultural factors in the adoption of Activity-Based Costing: The case of Moroccan firms. Accounting and Management Information Systems, 12(1), 4.
Chau, P. Y. K., & Tam, K. Y. (1997). Factors Affecting the Adoption of Open Systems: An Exploratory Study. MIS Quarterly, 21(1), 1–24.
Chau, P. Y. K., & Tam, K. Y. (2000). Organizational adoption of open systems: a `technology-push, need-pull’ perspective. Information & Management, 37(5), 229–239.
Chin-Loy, C., & Mujtaba, B. G. (2007). The Influence of Organizational Culture on The Success of Knowledge Management Practices with North American Companies. International Business & Economics Research Journal (IBER), 6, 15–28. https://doi.org/10.19030/iber.v6i3.3350
Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: theory and results (Doctoral dissertation). Massachusetts Institute of Technology.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982–1003.
Fadzil, F., & Rababah, A. (2012). Management Accounting Change: ABC Adoption and Implementation. Journal of Accounting and Auditing: Research & Practice, 1–17. https://doi.org/10.5171/2012.349927
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading Mass.: Addison-Wesley Pub. Co. Retrieved from
http://people.umass.edu/aizen/f&a1975.html
Gordon, G. G., & DiTomaso, N. (1992). PREDICTING CORPORATE PERFORMANCE FROM ORGANIZATIONAL CULTURE. Journal of Management Studies, 29(6), 783–798. https://doi.org/10.1111/j.1467-6486.1992.tb00689.x
Gosselin, M. (1997). The effect of strategy and organizational structure on the adoption and implementation of activity-based costing. Accounting, Organizations and Society, 22(2), 105–122.
Hofstede, G. (1984). Culture’s Consequences, International Differences in Work-Related Values (Vol. 5). Retrieved from https://us.sagepub.com/en-us/nam/cultures-consequences/book665
Iacovou, C. L., Benbasat, I., & Dexter, A. S. (1995). Electronic data interchange and small organizations: Adoption and impact of technology. MIS Quarterly, 465–485.
Innes, J., & Mitchell, F. (1995). A survey of activity-based costing in the U.K.’s largest companies. Management Accounting Research, 6(2), 137–153.
Innes, J., Mitchell, F., & Sinclair, D. (2000). Activity-based costing in the U.K.’s largest companies: a comparison of 1994 and 1999 survey results. Management Accounting Research, 11(3), 349–362.
Krumwiede, K. R. (1998). The implementation stages of activity-based costing and the impact of contextual and organizational factors. Journal of Management Accounting Research, 10, 239.
Kuan, K. K. Y., & chau, P. Y. K. (2001). A perception-based model for EDI adoption in small businesses using a technology–organization–environment framework. Information & Management, 38(8), 507–521.
Lukka, K., & Granlund, M. (1996). Cost accounting in Finland: current practice and trends of development. European Accounting Review, 5(1), 1–28.
Malmi, T. (1997). Towards explaining activity-based costing failure: accounting and control in a decentralized organization. Management Accounting Research, 8(4), 459–480.
Malmi, T. (1999). Activity-based costing diffusion across organizations: an exploratory empirical analysis of Finnish firms. Accounting, Organizations and Society, 24(8), 649–672.
Mathieson, K. (1991). Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior. Information Systems Research, 2(3), 173–191.
Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222.
Nickels, D. W., Kwun, O., & Omar, A. (2008). The effect of organizational culture on e-commerce adoption. SWDSI Proceedings, Paper S, 512, 276–283.
Oliveira, T., & Martins, M. R. O. (2008). A Comparison of Web Site Adoption in Small and Large Portuguese Firms. 370–377. SciTePress - Science and Technology Publications.
Otley, D. (1999). Performance management: a framework for management control systems research. Management Accounting Research, 10(4), 363–382.
Parsons, J., Iivari, J., & Hevner, A. (2005). Research in Information Systems Analysis and Design: Introduction to the Special Theme Papers. Communications of the Association for Information Systems, 16(1), 40.
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891.
Rogers, E. M. (1983). Diffusion of innovations (3rd Edition). New York: London: Free Press; Collier Macmillan.
Rogers, E. M. (2003). Diffusion of Innovations (5th edition). New York: Free Press.
Rumanti, A. A., Hidayat, T. P., & Yordy. (2015). Analysis of Influence Organizational Culture toward Intellectual Capital. International Journal of Knowledge Engineering, 1(3), 204–208. https://doi.org/10.18178/ijke.2015.1.3.035
Salem, S. E. A., & Mazhar, S. (2014). The Difficulties Preventing the Application of Activity-Based Cost System from the Standpoint of Industrial Companies Operating In Allahabad City – India. Journal of Business and Management, 16(8), 13–17.
Shokshok, M. A., Rahman, M. N. A., Wahab, D. A., & Shokshk, A. A. (2010). Diagnosing organizational culture elements for successful TQM implementation case study in Libya. 2010 International Conference on Education and Management Technology, 13–18.
Simons, R. (1987). Accounting control systems and business strategy: an empirical analysis. Accounting, Organizations and Society, 12(4), 357–374.
Thong, J. Y. (1999). An integrated model of information systems adoption in small businesses. Journal of Management Information Systems, 15(4), 187–214.
Trivellas, P., & Dargenidou, D. (2009). Organisational culture, job satisfaction and higher education service quality: The case of Technological Educational Institute of Larissa. The TQM Journal, 21(4), 382–399.
Twati, J. M. (2006). Societal and organisational culture and the adoption of management information systems in Arab countries. Griffith Business School Brisbane, Australia.
Twati, J. M. (2008). The influence of societal culture on the adoption of information systems: The case of Libya. Communications of the IIMA, 8(1), 1.
Twati, J. M., & Gammack, J. G. (2006). The impact of organisational culture innovation on the adoption of IS/IT: the case of Libya. Journal of Enterprise Information Management, 19(2), 175–191.
Wulantika, L. (2011). Organizational Culture in Improving Effectiveness Organization. Unikom Scientific Magazin, 7(2), 207–216.
Zhang, Y. F., Hoque, Z., & Isa, C. R. (2015). The Effects of Organizational Culture and Structure on the Success of Activity-Based Costing Implementation. In Advances in Management Accounting (pp. 229–257). Emerald Group Publishing Limited.