Adoption of Sales Force Automation Systems in Supply Chain Management: A Technology Acceptance Model Perspective

Main Article Content

Cheng-Chung Lee

Abstract

The purposes of this study were to 1) apply the Technology Acceptance Model (TAM) for sales force in the supply chain system by integrating external variables, namely Self-Efficacy and Organizational Support, 2) examine their effects on Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) and, 3) investigate users’ attitudes and intention to use. The instruments were questionnaires. The sample was 288 employees working in the automotive supply chain industry. The statistical analysis was Structural Equation Modeling (SEM). The results showed that Self-Efficacy had a significant positive effect on PEOU, while Organizational Support positively influenced PU. Both PEOU and PU indirectly affected intention to use through users’ attitudes. This study not only confirmed the suitability of TAM in the supply chain context but also provided practical implications that supported organizations in driving their digital transformation.

Article Details

How to Cite
Lee, C.-C. (2025). Adoption of Sales Force Automation Systems in Supply Chain Management: A Technology Acceptance Model Perspective. Supply Chain and Sustainability Research (SCSR), 4(2), 8–18. retrieved from https://so08.tci-thaijo.org/index.php/SCSR/article/view/5723
Section
Research articles

References

Avlonitis, G. J., & Panagopoulos, N. G. (2005). Antecedents and consequences of CRM technology acceptance in the sales force. Industrial Marketing Management, 34(4), 355–368. https://doi.org/10.1016/j.indmarman.2004.09.021

Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman. https://psycnet.apa.org/record/1997-08589-000

Boujena, O., Johnston, W. J., & Merunka, D. (2009). The benefits of sales force automation: A customer’s perspective. Journal of Personal Selling & Sales Management, 29(2), 137–150. https://www.researchgate.net/publication/261645502

Burton-Jones, A., & Hubona, G. S. (2006). The mediation of external variables in the technology acceptance model. Information & Management, 43(6), 706–717. https://www.sciencedirect.com/science/article/pii/S0378720606000300

Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189–211. https://doi.org/10.2307/249688

Chopra, S., & Meindl, P. (2016). Supply chain management: Strategy, planning, and operation (6th ed.). Pearson. https://www.researchgate.net/publication/327890174

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://www.jstor.org/stable/249008

Eisenberger, R., Huntington, R., Hutchison, S., & Sowa, D. (1986). Perceived organizational support. Journal of Applied Psychology, 71(3), 500–507. https://doi.org/10.1037/0021-9010.71.3.500

Queiroz, M., Wamba, S. F., & Queiroz, J. (2019). Blockchain adoption in supply chain management: Empirical evidence from an emerging economy. International Journal of Production Research, 57(7), 2025–2043. https://doi.org/10.1080/00207543.2018.1552076

Rhoades, L., & Eisenberger, R. (2002). Perceived organizational support: A review of the literature. Journal of Applied Psychology, 87(4), 698–714. https://www.researchgate.net/publication/232493553

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926