IS THERE ANY DIFFERENCE BETWEEN SALES FORCE AND SALES MANAGER PERCEPTIONS ON THE SALES FORCE AUTOMATION IMPLEMENTATION?
DOI:
https://doi.org/10.61841/0wbss237Keywords:
Sales Force Automation,, sales force management, sales force productivityAbstract
--SFA has been proven to be related to performance and productivity. SFA implementation required huge investment and study showed that failure rates of SFA implementation is as high as 40-80%. Regardless the fact, studies on SFA are limited. In the last 5 years, there are only 44 SFA studies published in Science Direct. Differences between managers and sales force in their perceptions of a new technology can affect the acceptance and implementation of that technology. The difference perception can undermine the issue face by the sales force. Different perception between Sales Force and managers will risk the success of SFA implementation. This study aims to see whether there is difference perception between sales force and sales manager on how SFA helps their daily works. Quantitative study was conducted in one multinational pharma company in Indonesia. Structured questionnaires with 5 Likert’s scale were distributed to 50 sales force and 20 managers. The difference between two group was analyzed using two-sample T-test. The result showed that there was difference perception between sales force and managers on how SFA could help achieving performance, managing sales force, accessing information and planning. However, in-term how SFA help them doing their daily activity such as monitor call, how training and support staff are key, there was no difference between group. This study contributes to the empirical evidence of SFA literature.
Downloads
References
1. Ajzen, I., & Fishbein, M. (1977). Attitude-Behavior Relations: A Theoretical Analysis and Review of Empirical Research. Psychological Bulletin, 84(5), 888–918. https://doi.org/10.1037/0033-2909.84.5.888
2. Bush, A. J., Moore, J. B., & Rocco, R. (2005). Understanding sales force automation outcomes : A managerial perspective B. Industrial Marketing Management, 34, 369–377. https://doi.org/10.1016/j.indmarman.2004.09.016
3. Buttle, F., Ang, L., & Iriana, R. (2006). Sales force automation : review , critique , research agenda. International Journal of Management Reviews, 8(4), 213–231. https://doi.org/10.1111/j.1468- 2370.2006.00128.x
4. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoritical Model. Management Science, 35(8), 982–1003. Retrieved from http://ac.els-cdn.com/S0020737383710229/1-s2.0-S0020737383710229-main.pdf?_tid=3c03a072-c19c- 11e4-ae71-00000aab0f6b&acdnat=1425383929_2651d0fc7bc74d0abcee54d9f5f91b76
5. Gohmann, S. F., Guan, J., Barker, R. M., & Faulds, D. J. (2005). Perceptions of sales force automation : Differences between sales force and management. Industrial Marketing Management, 34, 337–343. https://doi.org/10.1016/j.indmarman.2004.09.014
6. Honeycutt, E. D., Thelen, T., Thelen, S. T., & Hodge, S. K. (2005). Impediments to sales force automation. Industrial Marketing Management, 34(4), 313–322.
7. Ko, D., & Dennis, A. R. (2004). Sales Force Automation and Sales Performance : Do Experience and Expertise Matter? The Journal of Personal Selling and Sales Management, 24(4), 311–322.
8. Moriarty, R. T., & Swartz, G. S. (1989). Automation to Boost Sales. Harvard Business Review, (February).
9. Moutot, J., & Bascoul, G. (2008). EFFECTS OF SALES FORCE AUTOMATION USE ON SALES
FORCE ACTIVITIES. Journal of Personal Selling & Sales Management, XXVIII(2), 167–184. https://doi.org/10.2753/PSS0885-3134280205
10. Navimipour, N. J., & Soltani, Z. (2016). The impact of cost, technoloy acceptance and employees’ satisfaction on the effectiveness of the electronic customer relationship management system (Vol. 55). https://doi.org/10.1016/j.chb.2015.10.036
11. Siegrist, M. (2000). The influence of trust and perceptions of risks and benefits on the acceptance of gene technology . Risk Analysis, 195–204. https://doi.org/10.1111/0272-4332.202020
12. Steele, R., Lo, A., Secombe, C., & Kuen, Y. (2009). Elderly persons ’ perception and acceptance of using wireless sensor networks to assist healthcare. International Journal of Medical Informatics, 8, 788–801. https://doi.org/10.1016/j.ijmedinf.2009.08.001
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.