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http://dx.doi.org/10.13106/jidb.2020.vol11.no4.7

The Impact of Technology Adoption on Organizational Productivity  

LAKHWANI, Monika (Lord Ashcroft International Business School, Anglia Ruskin University)
DASTANE, Omkar (School of Accounting & Business Management, FTMS College Malaysia)
SATAR, Nurhizam Safie Mohd (Research Center for Software Technology and Management (SOFTAM), Faculty of Information Science & Technology the National University of Malaysia)
JOHARI, Zainudin (School of Engineering & Information Systems, FTMS College Malaysia)
Publication Information
The Journal of Industrial Distribution & Business / v.11, no.4, 2020 , pp. 7-18 More about this Journal
Abstract
Purpose: This research investigates the impact of technology adoption on organisation productivity. The framework has three independent variables viz. technological change, information technology (IT) infrastructure, and IT knowledge management and one dependent variable as organisational productivity. Research design, data and methodology: An explanatory research design with a quantitative research method was employed, and data was collected using a self-administered questionnaire using online as well as an offline survey. The sample consisted of 300 IT managers and senior-level executives (production as well as service team) in leading IT companies in Malaysia selected using snowball sampling. Normality and reliability assessment was performed in the first stage utilising SPSS 22, and Confirmatory Factory Analysis (CFA) was performed with maximum likelihood estimation to assess the internal consistency, convergent validity, and discriminant validity. Finally, Structural Equation Model (SEM) and path analysis are conducted using AMOS 22. Results: The research findings demonstrated that technological change and IT infrastructure positively and significantly impact the organisation's productivity while IT knowledge management has significant but negative impact on organizational productivity of IT companies in Malaysia. Conclusion: The research concludes that all three factors plays important role in deciding organizational producvity. Recommendations, implications, limitations and future research avenues are discussed.
Keywords
Organisation productivity; IT adoption; technological change; IT infrastructure and IT knowledge management;
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Times Cited By KSCI : 4  (Citation Analysis)
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1 Igbaria, M., & Tan, M. (1997). The consequences of information technology acceptance on subsequent individual performance. Information & management, 32(3), 113-121.   DOI
2 Jallow, H., & Dastane, O. (2016). Effect of sales promotion schemes on purchase quantity: A study of Malaysian consumers. Management & Marketing, 14(2), 299-320.
3 Jenkins, H. (2006). Small business champions for corporate social responsibility. Journal of Business Ethics, 67(3), 241-256. doi:10.1007/s10551-006-9182-6   DOI
4 Kamel, S., Rateb, D., & El‐Tawil, M. (2009). The impact of ICT investments on economic development in Egypt. The Electronic Journal of Information Systems in Developing Countries, 36(1), 1-21.   DOI
5 Kelly, P., & Kranzberg, M. (1978). Technological innovation. In A critical review of current knowledge. San Francisco Press.
6 Keong, L. S., & Dastane, O. (2019). Building a Sustainable Competitive Advantage for Multi-Level Marketing (MLM) Firms: An Empirical Investigation of Contributing Factors. Journal of Distribution Science, 8(1), 5-11.   DOI
7 Kline, S. J., & Rosenberg, N. (2010). An overview of innovation. In Studies On Science And The Innovation Process: Selected Works of Nathan Rosenberg (pp. 173-203).
8 Long, T. B., Blok, V., & Coninx, I. (2016). Barriers to the adoption and diffusion of technological innovations for climate-smart agriculture in Europe: evidence from the Netherlands, France, Switzerland and Italy. Journal of Cleaner Production, 112, 9-21.   DOI
9 Lopez, S. P., Peon, J. M. M., & Ordas, C. J. V. (2009). Information technology as an enabler of knowledge management: an empirical analysis. In Knowledge Management and Organizational Learning (pp. 111-129). Springer, Boston, MA.
10 Alam, S. S. (2009). Adoption of internet in Malaysian SMEs. Journal of Small Business and Enterprise Development, 16(2), 240-255.   DOI
11 Alam, S. S., & Noor, M. M. (2009). ICT adoption in small and medium enterprises: An empirical evidence of service sectors in Malaysia. International Journal of Business and management, 4(2), 112-125.
12 Al-Nashmi, M. M., & Amer, R. A. (2014). The Impact Of Information Technology Adoption On Employee Productivity In Nongovernemental Organizations In Yemen. International Journal of Social Sciences and Humanities Research, 3(2), 32-50.
13 Amacha, E. B., & Dastane, O. (2017). Sustainability Practices as Determinants of Financial Performance: A Case of Malaysian Corporations. The Journal of Asian Finance, Economics and Business, 4(2), 55-68.   DOI
14 McKay, D. T., & Brockway, D. W. (1989). Building IT infrastructure for the 1990s. Stage by Stage, 9(3), 1-11.
15 Mano, R. S. (2009). Information technology, adaptation and innovation in nonprofit human service organizations. Journal of Technology in Human Services, 27(3), 227-234.   DOI
16 Mansfield, E. (1961). Technical change and the rate of imitation. Econometrica: Journal of the Econometric Society, 29(4), 741-766.   DOI
17 McAfee, A., & Brynjolfsson, E. (2008). Investing in the IT that makes a competitive difference. Harvard Business Review, 86(7/8), 98.
18 McNutt, J. G., & Boland, K. M. (1999). Electronic advocacy by nonprofit organizations in social welfare policy. Nonprofit and Voluntary Sector Quarterly, 28(4), 432-451.   DOI
19 Myers, S., & Marquis, D. G. (1969). Successful industrial innovations: A study of factors underlying innovation in selected firms (Vol. 69, No. 17). National Science Foundation.
20 OCDE/Eurostat. (2005), Oslo Manual, guidelines for Collecting and Interpreting Innovation Data, 3rd Edition. The Measurement of Scientific and Technological Activities. Paris: OECD Publishing.
21 Oliver, P. (2010). The student's guide to research ethics. UK: McGraw-Hill Education.
22 Oluwafemi, A., & Dastane, O. (2016). The Impact of Word of Mouth on Customer Perceived Value for the Malaysian Restaurant Industry. The East Asian Journal of Business Management, 6(3), 21-31.   DOI
23 Peslak, A. R. (2005). The importance of information technology: An empirical and longitudinal study of the annual reports of the 50 largest companies in the United States. Journal of Computer Information Systems, 45(3), 32-42.
24 Bell, M., & Pavitt, K. (1993). Accumulating technology captivity in developing countries. Industrial and Cooperative Change, 2(2), 35-44.
25 Amah, E., & Ahiauzu, A. (2013). Employee involvement and organizational effectiveness. Journal of Management Development, 32(7), 661-674.   DOI
26 Becerra-Fernandez, I., & Sabherwal, R. (2014). Knowledge management: Systems and processes. Routledge.
27 Beckey, R., & Elliot, M.A., & Procket, J.M. (1996). Closing the gap: Information technology and the non-profit sector. Nonprofit world, 14(1), 36-44.
28 Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-246.   DOI
29 Bhatti, W. A., Zaheer, A., & Rehman, K. U. (2011). The effect of knowledge management practices on organizational performance: A conceptual study. African Journal of business management, 5(7), 2847-2853.
30 Bougrain, F. and Haudeville, B. (2002). Innovation, Collaboration and SMEs Internal Research Capacities, Research Policy, 31(5), 735-747   DOI
31 Broadbent, M., Weill, P., & St. Clair, D. (1999). The implications of information technology infrastructure for business process redesign. MIS quarterly, 23(2), 159-182.   DOI
32 Camison-Zornoza, C., Lapiedra-Alcami, R., Segarra-Cipres, M., & Boronat-Navarro, M. (2004). A meta-analysis of innovation and organizational size. Organization studies, 25(3), 331-361.   DOI
33 Chang, Y. B., & Gurbaxani, V. (2012). Information technology outsourcing, knowledge transfer, and firm productivity: an empirical analysis. MIS quarterly, 36(4), 1043-1063.   DOI
34 Chin, W. W. (1998). Commentary: Issues and opinion on structural equation modeling. MIS quarterly, 22(1), 8-18.
35 Stoneman, P. (2001). The economics of technological diffusion. Wiley-Blackwell.
36 Razali, N. M., & Wah, Y. B. (2011). Power comparisons of shapiro-wilk, kolmogorov-smirnov, lilliefors and anderson-darling tests. Journal of statistical modeling and analytics, 2(1), 21-33.
37 Rosenberg, N. (1963). Technological change in the machine tool industry, 1840-1910. The journal of economic history, 23(4), 414-443.   DOI
38 Sekaran, U., & Bougie, R. (2003). Research Methods For Business, A Skill Building Approach, NY: John Willey & Sons. Inc.
39 THAM, K. W., DASTANE, O., JOHARI, Z., ISMAIL, N. B., HE, Y., WANG, J., & Lee, J. J. (2019). Perceived Risk Factors Affecting Consumers' Online Shopping Behaviour. The Journal of Asian Finance, Economics and Business, 6(4), 249-260.   DOI
40 Weill, P., & Broadbent, M. (1998). Leveraging the new infrastructure: how market leaders capitalize on information technology. Harvard Business Press.
41 Zain, M., Rose, R. C., Abdullah, I., & Masrom, M. (2005). The relationship between information technology acceptance and organizational agility in Malaysia. Information & Management, 42(6), 829-839   DOI
42 Davenport, T. (1994). Saving IT's Soul: human-centered information management. Harvard Business Review, 72 (2), 119-131
43 Choi, B., Poon, S. K., & Davis, J. G. (2008). Effects of knowledge management strategy on organizational performance: A complementarity theory-based approach. Omega, 36(2), 235-251.   DOI
44 Dastane, O., Lee, W. Y. W. (2016). Korean Expatriates Adjustments and Job Satisfaction in Malaysia: Analysis of Corporate Cultural Asymmetry. International Journal of Industrial Distribution & Business, 7(4), 33-45.   DOI
45 Brancheau, J. C., Janz, B. D., & Wetherbe, J. C. (1996). Key issues in information systems management: 1994-95 SIM Delphi results. MIS quarterly, 20(2), 225-242.   DOI
46 Deal, J. J. (2007). Retiring the generation gap: How employees young and old can find common ground (Vol. 35). John Wiley & Sons.
47 DeVellis, R.F. (1991) Scale Development. Theory and Applications. Newbury Park, CA.
48 Dibrell, C., Davis, P. S., & Craig, J. (2008). Fueling innovation through information technology in SMEs. Journal of small business management, 46(2), 203-218.   DOI
49 Earl, M. J. (1989). Management strategies for information technology. Prentice-Hall, Inc.
50 Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American journal of theoretical and applied statistics, 5(1), 1-4.   DOI
51 Galende, J., & de la Fuente, J. M. (2003). Internal factors determining a firm's innovative behaviour. Research Policy, 32(5), 715-736.   DOI
52 Gerstenfeld, A. (1979). Technological innovation: government/industry cooperation. John Wiley & Sons.
53 Haba, H. F., & Dastane, O. (2018). An empirical investigation on taxi hailing mobile app adoption: A structural equation modelling. Business Management and Strategy, 9(2), 169-192.
54 Gerbing, D. W., & Anderson, J. C. (1992). Monte Carlo evaluations of goodness of fit indices for structural equation models. Sociological Methods & Research, 21(2), 132-160.   DOI
55 Dixit, A. K., Dixit, R. K., & Pindyck, R. S. (1994). Investment under uncertainty. Princeton university press.
56 Haas, M. R., & Hansen, M. T. (2005). When using knowledge can hurt performance: The value of organizational capabilities in a management consulting company. Strategic management journal, 26(1), 1-24.   DOI
57 Haba, H. F., & Dastane, O. (2019). Massive Open Online Courses (MOOCs)-Understanding Online Learners' Preferences and Experiences. International Journal of Learning, Teaching and Educational Research, 18(8), 227-242.   DOI
58 Hair, J. F., Gabriel, M., & Patel, V. (2014). AMOS covariance-based structural equation modeling (CB-SEM): Guidelines on its application as a marketing research tool. Brazilian Journal of Marketing, 13(2), 44-55.
59 Heisig, P. (2009). Harmonisation of knowledge management-comparing 160 KM frameworks around the globe. Journal of knowledge management, 13(4), 4-31.   DOI
60 Hooi, L. W., & Ngui, K. S. (2014). Enhancing organizational performance of Malaysian SMEs. International Journal of Manpower, 35(7), 973-995.   DOI
61 Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 55.