READINESS TECHNOLOGY AND SUCCESS MODEL INFORMATION TECHNOLOGY IN IMPLEMENTATION BETWEEN SMEs IN JAKARTA

Keywords: SMEs, Readiness Technology, Success Model, SEM

Abstract

In general, the use of information technology plays an important role in organizational development. Similarly, if the advancement of information technology can be applied to the financial sector, small and medium enterprises, and so on, the sector's selling value will increase. This study was carried out to determine the level of readiness of the SMEs sector in carrying out information technology implementation projects in business management. In this case, the researcher is developing a research model by combining and adapting a technology readiness model and a success model in the development of information technology to the development of SMEs in Jakarta. This quantitative study included 226 SMEs workers and managers. The data was processed and analyzed using the PLS-SEM method and SmartPLS 3.0 software, with descriptive data being entered into a spreadsheet application. The study also describes the findings of the readiness factor, which has a significant impact on the success of information technology development in Jakarta SMEs

Downloads

Download data is not yet available.

References

Afthanorhan, W. (2013). A comparison of partial least square structural equation modelling (PLS-SEM) and covariance-based structural equation modelling (CB-SEM) for confirmatory factor analysis. International Journal Engineering and Science Innovative Technologies (IJESIT), 2(5), 8.

Ali, M., & Miller, L. (2017). ERP system implementation in large enterprises–a systematic literature review. Journal of Enterprise Information Management, 30(4), 666-692. doi:https://doi.org/10.1108/JEIM-07-2014-0071

Almajed, A. I., & Mayhew, P. (2014). An empirical investigation of IT project success in developing countries. Paper presented at the Science and Information Conference (SAI), 2014.

Antonelli, C., & Fassio, C. (2014). The economics of the light economy: globalization, skill biased technological change and slow growth. Technological Forecasting and Social Change, 87, 89-107.

Barba-Sánchez, V., Martínez-Ruiz, M. d. P., & Jiménez-Zarco, A. I. (2007). Drivers, benefits and challenges of ICT adoption by small and medium sized enterprises (SMEs): a literature review. Problems and Perspectives in Management, 5(1), 103-114.

Buchalcevova, A. (2015). Green ICT maturity model for Czech SMEs. Journal of Systems Integration, 6(1), 24-36.

Burgess, S., & Paguio, R. (2016). Examining ICT application adoption in Australian home-based businesses: an Innovation-Decision Process approach. Journal of Enterprise Information Management, 29(2), 276-299.

Cesaroni, F., Consoli, D., & Demartini, D. (2010). The use of ICT in manufacturing small and medium-sized firms facing the crisis. Paper presented at the VII Conference of the Italian Chapter of AIS.

Cesaroni, F. M., Consoli, D., & Sentuti, A. (2011). The adoption of ICT in small and medium-sized family business. The role of younger generation. Timisoara Journal of Economics, 4(2 (14)), 67-80.

Colby, C. L. (2016). Techno-Ready Marketing of e-Services: Customer Beliefs About Technology and the Implications for Marketing e-Services. In E-Service: New Directions in Theory and Practice (pp. 37-56): Routledge.

Creswell, J. W. (2014). Research design : qualitative, quantitative, and mixed methods approaches.

DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of management information systems, 19(4), 9-30.

Eze, S. C., Olatunji, S., Chinedu-Eze, V. C., & Bello, A. O. (2018). Key success factors influencing SME managers' information behaviour on emerging ICT (EICT) adoption decision-making in UK SMEs. The Bottom Line.

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152.

Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the academy of marketing science, 40(3), 414-433.

Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM): Sage Publications.

Hughes, L. D., Rana, N. P., & Simintiras, A. C. (2017). The changing landscape of IS project failure: an examination of the key factors. Journal of Enterprise Information Management, 30(1).

Jrad, R., & Sundaram, D. (2015). Inter-organizational information and middleware system projects: success, failure, complexity, and challenges.

Napitupulu, D., Syafrullah, M., Rahim, R., Abdullah, D., & Setiawan, M. (2018). Analysis of user readiness toward ICT usage at small medium enterprise in south tangerang. Paper presented at the Journal of Physics: Conference Series.

Ntwoku, H., Negash, S., & Meso, P. (2017). ICT adoption in Cameroon SME: application of Bass diffusion model. Information Technology for Development, 23(2), 296-317.

Parasuraman, A. (2000). Technology Readiness Index (TRI) a multiple-item scale to measure readiness to embrace new technologies. Journal of service research, 2(4), 307-320.

Parasuraman, A., & Colby, C. L. (2015). An updated and streamlined technology readiness index: TRI 2.0. Journal of service research, 18(1), 59-74.

Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success: models, dimensions, measures, and interrelationships. European journal of information systems, 17(3), 236-263.

Sani, A., Aisyah, S., Budiyantara, A., Doharma, R., & Hindardjo, A. (2022). Laporan Akhir Penelitian Mandiri.

Sani, A., Rahman, T., Nawaningtyas, N., Budiyantara, A., & Wiliani, N. (2021). The effect of technology readiness in IT adoption on organizational context among SMEs in the suburbs of the capital. Paper presented at the AIP Conference Proceedings.

Sani, A., & Wiliani, N. (2019). Faktor Kesiapan dan Adopsi Teknologi Informasi dalam Konteks Teknologi serta Lingkungan pada UMKM di Jakarta. JITK (Jurnal Ilmu Pengetahuan Dan Teknologi Komputer), 5(1), 49-56.

Sani, A., Wiliani, N., Budiyantara, A., & Nawaningtyas, N. (2020). Pengembangan Model Adopsi Teknologi Informasi terhadap Model Penerimaan Teknologi diantara UMKM. JITK (Jurnal Ilmu Pengetahuan Dan Teknologi Komputer), 5(2), 151-158. doi:doi.org/10.33480/jitk.v5i1.616

Skoko, H., Buerki, L., & Ceric, A. (2007). Empirical evaluation of ICT adoption in Australian SMEs: Systemic approach. IEEE, Harbin, China, January, 15-18.

Subiyakto, A., & Ahlan, A. R. (2014). Implementation of Input-Process-Output Model for Measuring Information System Project Success. TELKOMNIKA Indonesian Journal of Electrical Engineering, 12(7), 5603-5612. doi:http://doi.org/10.11591/ijeecs.v12.i7.pp5603-5612

Subiyakto, A., Ahlan, A. R., Kartiwi, M., & Putra, S. J. (2016). Measurement of the information system project success of the higher education institutions in Indonesia: a pilot study. International Journal of Business Information System, 23(2), 229-247. doi:https://doi.org/10.1504/IJBIS.2016.078908

Sugiyono. (2018). Metode Penelitian kuantitatif (Vol. 1). Bandung: Alfabeta.

Urbach, N., & Ahlemann, F. (2010). Structural equation modeling in information systems research using partial least squares. JITTA: Journal of Information Technology Theory and Application, 11(2), 5.

Venkatesh, V., Brown, S. A., & Bala, H. (2013). Bridging the qualitative-quantitative divide: Guidelines for conducting mixed methods research in information systems. MIS quarterly, 37(1), 21-54.

Wilson, V. (2012). Research methods: focus groups. Evidence Based Library and Information Practice, 7(1), 129-131.

Wong, K. K.-K. (2013). Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS. Marketing Bulletin, 24(1), 1-32.

Published
2022-02-18
How to Cite
[1]
A. Sani, S. Aisyah, A. Budiyantara, R. Doharma, A. Hindardjo, and F. Frieyadie, “READINESS TECHNOLOGY AND SUCCESS MODEL INFORMATION TECHNOLOGY IN IMPLEMENTATION BETWEEN SMEs IN JAKARTA”, jitk, vol. 7, no. 2, pp. 111-118, Feb. 2022.
Article Metrics

Abstract viewed = 93 times
PDF downloaded = 36 times