Organizational performance is essential and necessary for every organization to properly create and sustain a healthy and effective results-oriented culture. In an economy increasingly driven by technological change, businesses need to stay abreast of the latest innovations to keep their competitive edge and access new market opportunities. Therefore, to excel in business, organizations must pay attention, especially to their technology implementation process. This study aims to analyze the effect of technology innovation that contributes to organizational performance. The innovation success model was adapted, focusing on three factors (technology selection, technology capability and technology management capability), and this study also added a successful technology implementation into the new framework. 131 questionnaires were distributed to 8 automotive companies in Shah Alam, Selangor. Based on the data analysis, the result showed that all the innovation success factors and successful technology implementation positively influence organizational performance. Technology capability is shown to be the strongest effect on organizational performance, among others. This study will hope to provide a guideline to the management of the automotive industry on how to improve their organizational performance through innovation.
References
Akgün, F. (2017). Investigation of instructional technology acceptance and individual innovativeness of academicians. Turkish Online Journal of Qualitative Inquiry, 8(3), 291-322. doi:https://doi.org/10.17569/tojqi.292135
Boeldt, D. L., Wineinger, N. E., Waalen, J., Gollamudi, S., Grossberg, A., Steinhubl, S. R., . . . Topol, E. J. (2015). How consumers and physicians view new medical technology: Comparative survey. Journal of Medical Internet Research, 17(9). doi:https://doi.org/10.2196/jmir.4456
Chang, C.-T., Hajiyev, J., & Su, C.-R. (2017). Examining the students behavioral intention to use e-learning in azerbaijan? the general extended technology acceptance model for e-learning approach. Computers & Education, 111, 128–143. doi:https://doi.org/10.1016/j.compedu.2017.04.010
Chen, J. (2014). Establishing a multinational harmonious society and resolving national issuesdepoliticizing and culturizing national issues. In De-politicization of ethnic questions in China (pp. 61–84). Singapore: World Scientific.
Chong, A. Y.-L., Chan, F. T., & Ooi, K.-B. (2012). Predicting consumer decisions to adopt mobile commerce: Cross country empirical examination between China and Malaysia. Decision Support Systems, 53(1), 34–43. doi:https://doi.org/10.1016/j.dss.2011.12.001
Deily, M. E., Hu, T., Terrizzi, S., Chou, S.-Y., & Meyerhoefer, C. D. (2013). The impact of health information technology adoption by outpatient facilities on pregnancy outcomes. Health Services Research, 48(1), 70–94. doi:https://doi.org/10.1111/j.1475-6773.2012.01441.x
Direkwuttanakunchai, P., & Yousapronpaiboon, K. (2017). A model of technology acceptance and trust that influences attitudes and affects the intention to use Samsung pay in Thailand. Journal of Administrative and Business Studies, 3(4), 171-179. doi:https://doi.org/10.20474/jabs-3.4.2
Goo, J., Huang, C. D., & Koo, C. (2015). Learning for healthy outcomes: Exploration and exploitation with electronic medical records. Information & Management, 52(5), 550–562. doi:https://doi.org/10.1016/j.im.2015.04.002
Jian, W.-S., Syed-Abdul, S., Sood, S. P., Lee, P., Hsu, M.-H., Ho, C.-H., . . . Wen, H.-C. (2012). Factors influencing consumer adoption of usb-based personal health records in Taiwan. BMC Health Services Research, 12(1), 1-8. doi:https://doi.org/10.1186/1472-6963-12-277
Kaushik, A. K., Agrawal, A. K., & Rahman, Z. (2015). Tourist behaviour towards self-service hotel technology adoption: Trust and subjective norm as key antecedents. Tourism Management Perspectives, 16, 278–289. doi:https://doi.org/10.1016/j.tmp.2015.09.002
Khuja, M. S. A. A., & Mohamed, Z. A. (2016). Investigating the adoption of e-business technology by small and medium enterprises. Journal of Administrative and Business Studies, 2(2), 71-83. doi:https://doi.org/10.20474/jabs-2.2.3
Lee, E., & Han, S. (2015). Determinants of adoption of mobile health services. Department of Business and Technology Management, 39(4), 556-572. doi:https://doi.org/10.1108/OIR-01-2015-0007
Lee, E. J., Lee, J., & Eastwood, D. (2003). A two-step estimation of consumer adoption of technology-based service innovations. Journal of Consumer Affairs, 37(2), 256–282. doi:https://doi.org/10.1111/j.1745-6606.2003.tb00453.x
Ohuabunwa, E. C., Sun, J., Jubanyik, K. J., & Wallis, L. A. (2016). Electronic medical records in low to middle income countries: The case of Khayelitsha Hospital, South Africa. African Journal of Emergency Medicine, 6(1), 38–43. doi:https://doi.org/10.1016/j.afjem.2015.06.003
Shih, Y.-Y., Lu, Y.-H., Liu, T.-Y., & Wu, M.-F. (2017). The staffs’ adoption intention of knowledge management system in green hospital-the theory of technology acceptance model applied. International Journal of Organizational Innovation (Online), 9(3), 27C.
Taillon, B. J., & Mueller, S. M. (2016). Self-service technologies: Increasing firm value through customer satisfaction and brand loyalty. In Reimagining: The power of marketing to create enduring value (p. 161-162). San Antonio, TX: Society for Marketing Advances.
Thanyasunthornsakun, S. J., K., & Boonmee, S. (2016). The causal effect of technology acceptance factors on the intention to use mobile application. Journal of Administrative and Business Studies, 2(5), 216-224. doi:https://doi.org/10.20474/jabs-2.5.1
Timmor, Y., Rymon, T., & Gal, T. (2011). Healthier for whom? technological service improvement in the healthcare industry. The Service Industries Journal, 31(11), 1725–1747. doi:https://doi.org/10.1080/02642060903580581
Venkatash, V., & Davis, F. D. (2000). A theoretical extension of technology acceptance model: Four longitudinal studies. Management Science, 46(2), 186–204. doi:https://doi.org/10.1287/mnsc.46.2.186.11926
Wei, W., Torres, E. N., & Hua, N. (2017). The power of self-service technologies in creating transcendent service experiences: The paradox of extrinsic attributes. International Journal of Contemporary Hospitality Management, 29(6), 1599–1618. doi:https://doi.org/10.1108/ijchm-01-2016-0029
Williams, J. (2012). The value of mobile apps in health care. Healthcare Financial Management, 66(6), 96–102.
Xia, C. B., & Talib, A. (2017). Factors influencing the acceptance of self-checkout machines in the supermarket industry in Singapore. IJRDO – Journal of Applied Management Science, 3(4), 76–99.
To Cite this article
Humaidi, N., Shahrom, M., and Abdullah, Q. A. (2018). The effect of innovation success factors towards organizational performance in automotive industry. International Journal of Business and Administrative Studies, 4(3), 129-136. doi: https://dx.doi.org/10.20469/ijbas.4.10005-3
