The impact of conformity, effort and performance expectancies on SMEs information technology adoption in Nigeria
Abstract
This paper investigates the drivers of SMEs’ adoption (Small and Medium-sized Enterprises’ adoption) of information technology (IT) in Nigeria, underpinned by the performance expectancy, effort expectancy and conformity impact on IT adoption. In addition, the study examined the impact of an organizational existence on IT adoption. Confirmatory Factor Analysis was applied to establish the model goodness-of-fit, while Structural Equation Modelling was employed to test the proposed model’s hypotheses. Further, multiple regression analysis was used to test the organization years of existence effect on IT adoption. The overall arching finding indicative predominant role of performance expectancy in explaining organization adoption of IT system. Furthermore, effort expectancy (ease of IT usage) showed mixed results. While it was a predictive construct in the overall study model, it proved redundant under five years of organization existence, but was predictive of organizational existence over five years. The conformity construct (maintenance of status quo) was insignificant in the study. The research adds value to the information technology literature by establishing the factors that drive 20 SMEs IT adoption in Nigeria, especially where organization age is concerned. The unit of analysis was at organization level, there is wisdom in considering employees’ demographics, 22 such as employee’s education, IT experience, or organizational trade in future studies.
References
[1] Gangwar H, Date H, Raoot AD. Review on IT adoption: insights from recent technologies. Journal of Enterprise Information Management. 2014, 27(4): 488-502. doi: 10.1108/jeim-08-2012-0047
[2] Eze SC, Awa HO, Okoye JC, et al. Determinant factors of information communication technology (ICT) adoption by government‐owned universities in Nigeria. Journal of Enterprise Information Management. 2013, 26(4): 427-443. doi: 10.1108/jeim-05-2013-0024
[3] Kannabiran G, Dharmalingam P. Enablers and inhibitors of advanced information technologies adoption by SMEs. Journal of Enterprise Information Management. 2012, 25(2): 186-209. doi: 10.1108/17410391211204419
[4] Tamilmani K, Rana NP, Wamba SF, et al. The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation. International Journal of Information Management. 2021, 57: 102269. doi: 10.1016/j.ijinfomgt.2020.102269
[5] Khazaei H. Integrating Cognitive Antecedents to UTAUT Model to Explain Adoption of Blockchain Technology Among Malaysian SMEs. JOIV : International Journal on Informatics Visualization. 2020, 4(2). doi: 10.30630/joiv.4.2.362
[6] Anandarajan M, Igbaria M, Anakwe UP. IT acceptance in a less-developed country: a motivational factor perspective. International Journal of Information Management. 2002, 22(1): 47-65. doi: 10.1016/s0268-4012(01)00040-8
[7] Rogers EM. Diffusion of innovation.5th edition. Free Press, New York. 2003.
[8] Davis FD. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly. 1989, 13(3): 319. doi: 10.2307/249008
[9] Davis FD, Bagozzi RP, Warshaw PR. User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science. 1989, 35(8): 982-1003. doi: 10.1287/mnsc.35.8.982
[10] Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: toward a unified view. MIS Quarterly. 2003, 27(3): 425. doi: 10.2307/30036540
[11] Venkatesh V, Thong JYL, Xu X. Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly. 2012, 36(1): 157. doi: 10.2307/41410412
[12] Venkatesh V, Thong J, Xu X. Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead. Journal of the Association for Information Systems. 2016, 17(5): 328-376. doi: 10.17705/1jais.00428
[13] Awa OH, Ukoha O, EmechetaCB, Liu S. Using T-O-E theoretical framework to study the adoption of ERP solution. Cogent Business & Management. 2016, 3:1, doi: 10.1080/23311975.2016.1196571
[14] Schwartz, S. H. (1992). Universals in the content and structure of values: Theory and empirical tests in 20 countries. In M. Zanna (Ed.), Advances in experimental social psychology (Vol. 25, pp. 1-65). New York: Academic Press. doi: 10.1016/S0065-2601(08)60281-6
[15] Schwartz SH. Basic human values: Theory, measurement, and applications. Revue Française de Sociologie, 2006, 47, 249-288.
[16] Schwartz SH. An Overview of the Schwartz Theory of Basic Values. Online Readings in Psychology and Culture. 2012, 2(1). doi: 10.9707/2307-0919.1116
[17] Bagchi KK, Udo GJ, Kirs PJ, et al. Internet use and human values: Analyses of developing and developed countries. Computers in Human Behavior. 2015, 50: 76-90. doi: 10.1016/j.chb.2015.03.055
[18] Abunadi I. Influence of Culture on e-Government Acceptance in Saudi Arabia. arXiv preprint arXiv:1307.7141. 2023.
[19] Choden K, Bagchi K, Udo G, Kirs P. Do Schwartz’s value types matter in internet use of individual developing and developed nation? AMCIS Proceedings, paper 438. 2010.
[20] Bagchi K, Kirs P. The impact of Schwartz’s cultural values type on ICT use: A multi-national individual-level analysis. ICIS Proceedings.paper 205. 2009.
[21] Ogba I. Commitment in the workplace. Management Research News. 2008, 31(11): 867-878. doi: 10.1108/01409170810913051
[22] Binder CC. Redistribution and the Individualism–Collectivism Dimension of Culture. Soc Indic Res , 2019, 142, 1175–1192 (2019). doi: 10.1007/s11205-018-1964-6
[23] Williams MD, Rana NP, Dwivedi YK. The unified theory of acceptance and use of technology (UTAUT): a literature review. Journal of Enterprise Information Management. 2015, 28(3): 443-488. doi: 10.1108/jeim-09-2014-0088
[24] Alalwan AA, Dwivedi YK, Rana NP, et al. Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk. Journal of Retailing and Consumer Services. 2018, 40: 125-138. doi: 10.1016/j.jretconser.2017.08.026
[25] Moghavvemi S, Mohd Salleh NA, Zhao W, et al. The entrepreneur’s perception on information technology innovation adoption: An empirical analysis of the role of precipitating events on usage behavior. Innovation. 2012, 14(2): 231-246. doi: 10.5172/impp.2012.14.2.231
[26] Bu F, Wang N, Jiang B, et al. Motivating information system engineers’ acceptance of Privacy by Design in China: An extended UTAUT model. International Journal of Information Management. 2021, 60: 102358. doi: 10.1016/j.ijinfomgt.2021.102358
[27] Agwu ME. Relevance of Information Technology in The Effective Management of Selected SMEs in Lagos State Nigeria. Academy of Strategic Management Journal, 2018, 17(1), 1-15.
[28] Wu W, Wu YJ, Wang H. Perceived city smartness level and technical information transparency: The acceptance intention of health information technology during a lockdown. Computers in Human Behavior. 2021, 122: 106840. doi: 10.1016/j.chb.2021.106840
[29] Wang Y, Tseng M, Tsai H. A study of Taiwanese college teacher’s acceptance of distance learning. International Journal of Organizational Innovation. 2010, 3(2), 243-260.
[30] Yuen YY, Yeow PH, Lim N, Saylani N. Internet Banking Adoption: Comparing Developed and Developing Countries. Journal of Computer Information Systems. 2010, 51: 1, 52-61.
[31] Kijsanayotin B, Pannarunothai S, Speedie SM. Factors influencing health information technology adoption in Thailand’s community health centers: Applying the UTAUT model. International Journal of Medical Informatics. 2009, 78(6): 404-416. doi: 10.1016/j.ijmedinf.2008.12.005
[32] Riffai MMMA, Grant K, Edgar D. Big TAM in Oman: Exploring the promise of on-line banking, its adoption by customers and the challenges of banking in Oman. International Journal of Information Management. 2012, 32(3): 239-250. doi: 10.1016/j.ijinfomgt.2011.11.007
[33] Martins C, Oliveira T, Popovič A. Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management. 2014, 34(1): 1-13. doi: 10.1016/j.ijinfomgt.2013.06.002
[34] Yi-Shun W, Shih, Y. Why do people use information kiosks? A validation of the Unified Theory of Acceptance and Use of Technology. Government Information Quarterly. 2009, 26: 1, 58-165. doi: 10.1016/j.giq.2008.07.001
[35] Moore GC, Benbasat I. Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research. 1991, 2(3): 192-222. doi: 10.1287/isre.2.3.192
[36] Thompson RL, Higgins CA, Howell JM. Personal Computing: Toward a Conceptual Model of Utilization. MIS Quarterly. 1991, 15(1): 125. doi: 10.2307/249443
[37] Bardi A, Schwartz SH. Values and Behavior: Strength and Structure of Relations. Personality and Social Psychology Bulletin. 2003, 29(10): 1207-1220. doi: 10.1177/0146167203254602
[38] Hofstede G, Hofstede GJ, Minkov M. Cultures and Organizations: Software of the mind: intercultural cooperation and its important for survival, 3rdedition, McGraw-Hill, New York. 2010.
[39] Srite M, Karahanna E. The Role of Espoused National Cultural Values in Technology Acceptance. MIS Quarterly. 2006, 30(3): 679. doi: 10.2307/25148745
[40] Fishbein M, Ajzen I. Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Addison-Wesley, Reading, MA. 1975.
[41] Schwartz SH, Melech G, Lehmann A, et al. Extending the Cross-Cultural Validity of the Theory of Basic Human Values with a Different Method of Measurement. Journal of Cross-Cultural Psychology. 2001, 32(5): 519-542. doi: 10.1177/0022022101032005001
[42] Baishya K, Samalia HV. Extending unified theory of acceptance and use of technology with perceived monetary value for smartphone adoption at the bottom of the pyramid. International Journal of Information Management. 2020, 51: 102036. doi: 10.1016/j.ijinfomgt.2019.11.004
[43] Patil P, Tamilmani K, Rana NP, et al. Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal. International Journal of Information Management. 2020, 54: 102144. doi: 10.1016/j.ijinfomgt.2020.102144
[44] Hardesty DM, Bearden WO. The use of expert judges in scale development. Journal of Business Research. 2004, 57(2): 98-107. doi: 10.1016/s0148-2963(01)00295-8
[45] Churchill GA. A Paradigm for Developing Better Measures of Marketing Constructs. Journal of Marketing Research. 1979, 16(1): 64-73. doi: 10.1177/002224377901600110.
[46] National Bureau of Statistics and Small and Medium Enterprises Development Agency of Nigeria. Available online: http://smedan.gov.ng/images/NATIONAL%20SURVEY%20OF%20MICRO%20SMALL%20&%20MEDIUM%20ENTERPRISES%20(MSMES),%20%202017%201.pdf (accessed on 20 April 2018).
[47] Podsakoff PM, MacKenzie SB, Lee JY, et al. Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology. 2003, 88(5): 879-903. doi: 10.1037/0021-9010.88.5.879
[48] Atiase VY, Mahmood S, Wang Y, et al. Developing entrepreneurship in Africa: investigating critical resource challenges. Journal of Small Business and Enterprise Development. 2017, 25(4): 644-666. doi: 10.1108/jsbed-03-2017-0084
[49] Modina M, Pietrovito F. A default prediction model for Italian SMEs: the relevance of the capital structure. Applied Financial Economics. 2014, 24(23): 1537-1554. doi: 10.1080/09603107.2014.927566
[50] Anderson JC, Gerbing DW. Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin. 1988, 103(3): 411-423. doi: 10.1037/0033-2909.103.3.411
[51] Hair JF, Anderson RE, Tatham RL, Black WC. Multivariate Data Analysis, 7th ed., Prentice Hall, Englewood Cliffs, NJ. 2010.
[52] Bagozzi RP, Yi Y. On the evaluation of structural equation models. Journal of the Academy of Marketing Science. 1988, 16(1): 74-94. doi: 10.1007/bf02723327
[53] Tabachnick GB, Fidell SL. Using Multivariate Statistics, 6th edition, Boston: Pearson. 2013.
[54] Field A. Discovering Statistics using IBM SPSS Statistics 4th Edition, London: Sage. 2013.
[55] Farrell AM. Insufficient discriminant validity: A comment on Bove, Pervan, Beatty, and Shiu (2009). Journal of Business Research. 2010, 63(3): 324-327. doi: 10.1016/j.jbusres.2009.05.003
[56] Alwahaishi S. An empirical analysis of end user’s adoption of ICT in a developing country. International Journal of Digital Information and Wireless Communications.
[57] Venkatesh V, Zhang X. Unified Theory of Acceptance and Use of Technology: U.S. Vs. China. Journal of Global Information Technology Management. 2010, 13(1): 5-27. doi: 10.1080/1097198x.2010.10856507
[58] Schwartz, S. H. Basic values: How they motivate and inhibit prosocial behavior. In M. Mikulincer & P. R. Shaver (Eds.), Prosocial motives, emotions, and behavior: The better angels of our nature American Psychological Association: 221–241. https://doi.org/10.1037/12061-012
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