| Peer-Reviewed

Determinants of Procure-to-Pay System Adoption in the County Government of Bomet, Kenya

Received: 18 September 2016     Accepted: 26 September 2016     Published: 25 October 2016
Views:       Downloads:
Abstract

The purpose of this paper was to examine the determinants of effective adoption of procure-to-pay system in County Government of Bomet. The study was steered by the following research objectives: to examine how Information Communication Technology infrastructure influence effective adoption of procure-to-pay system; to evaluate how staff training influence effective adoption of procure-to-pay system and to find out the influence of management on effective adoption of procure-to-pay system. The study used two theories namely; the theory of innovation diffusion and technology adoption model. The study population comprised of 57 employees working in County Information Communication Technology, procurement and finance office and the county director of procurement. Owing to the limited number of employees in the three departments, all the employees were involved in the study making the study a census survey. The study used structured questionnaires in data collection. A pilot study was conducted in Bomet County to determine validity of the research instruments where Cronbach’s alpha coefficient was used. For the purpose of establishing the relationship between the independent and dependent variable, chi square test and regression analysis was carried out. The study revealed that ICT infrastructure, staff training and management support are all critical determinants of procure-to-pay system. The study recommends that the government policy makers should come up with written guidelines in development of ICT infrastructure in public organizations. Management of county governments should identify training needs, develop training strategies and conduct regular and effective training on adoption of innovative strategies like procure to pay system. Further studies should be conducted to assess the role of the national government in adoption of procure to pay system. Studies should be conducted to assess the challenges faced by public organizations in adoption of procure to pay system and suggest possible solutions to the challenges. Lastly, further studies should be conducted to assess the benefits of adoption of procure to pay system.

Published in Journal of Investment and Management (Volume 5, Issue 6)
DOI 10.11648/j.jim.20160506.17
Page(s) 140-150
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Determinants of Adoption, Procure to Pay System, County Governments in Kenya

References
[1] Bittner, R. (2006). Management concepts. Radiologic Technology. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&db=jlh&AN=106288513&site=ehost-live
[2] Aboelmaged, M. (2010). Predicting e-procurement Adoption in a Developing County. An empirical integration of technology acceptance model and theory of planning behaviour, 2 (2) 392-414.
[3] Beauvallet, G., Boughzala, Y., & Assar, S. (2011). E-Procurement, from Project to Practice: Empirical Evidence from the French Public Sector. India: Pradesh.
[4] Bomet County Government (2016). General Information, retrieved from; http://www.bomet.go.ke/ on 12/6/2016
[5] Chin-Fu, H., Yi-Ming, T., & Wen-Hsiung, W. (2008). Exploring the Impacts of Web-Based E- Procurement on Organizational Performance. UK: Ahmedabad: IIM.
[6] Commission, E. (2012). EU public procurement legislation: delivering results Summary of evaluation report. Brussels: EU.
[7] Davila, A., Gupta, M., & Palmer, R. (2002). Moving Procurement Systems to the Internet: The Adoption and Use of E-Procurement Technology Models. EU: Brussels.
[8] Done, A., Liao, C., and Maedler, M. (2011).Technology in Purchasing: Impacts ofn Performance and Future Confidence. IESE: IESE Business School.
[9] Edebe, I. (2000). Managing and developing the strategy for Africa’s information in global computerization. Library management. London: Brussels.
[10] Fred D. Davis, R. P. (1989). User Acceptance of Computer Technology. A compronmise of two theoretical models, 2 (1), 982-1003.
[11] Friedman, T. (2006). The World is Flat (1st Edition). London: Penguin.
[12] Gates, B. (2009). Business @ the Speed of Thought. London: Procurement Fraud in e-Business: Dispute, Analysis and Investigations. London: Penguin Group.
[13] Goldstein, I. (1993). Training in Organizations. Needs assessment, Development, and Evaluation, 2 (2), 356-364.
[14] Hamilton D, M. (2006). Additional contextual specificity to the technology acceptance model. Computers in Human Behaviour, 1 (2), 427-447.
[15] Hanool Choi, S. K. (2010). Industrial Marketing Management. Role of Network Structure and Network Effects in Diffusion of Innovations, 1 (2), 170-177.
[16] Henriksen, H., Kerstens, D., & Andersen, K. (2004). Public Procurement in Denmark: Measurements of Suppliers' E-maturity. Bled: Slovenia.
[17] Jarunee Wonglimpiyarat, Napapord Yuberk. (2005). Government Information Quarterly. In suppory of Roger's Innovation Diffussion Theory. 2 (5), 411-422.
[18] Kalakota, R., & Whinston, A. B. (2006). Frontiers of Electronic Commerce. New York: Addison-Wesley Publishing Company.
[19] Kalianna, A. H. (2009). The Jaurnal of Knowledge Economy and Knowledge Management. Govenment Purchasing: A review of E-Procurement System in Malaysia, 2 (5), 112-121.
[20] Kaliannan, M., Awang, H., & Raman, M. (2009). Government Purchasing: A Review of E-rocurement System in Malaysia. The Journal of Knowledge Economy & Knowledge Management 2 (3), 112-121.
[21] Kaplan, S., & Sawhney, M. (2010). E-Hubs: The New B2B Marketplaces. Harvard: Harvard Business Review.
[22] Kawalek, P., Wastell, D. and Newman, M. (2003). Problematisation and Obfusca-tion in E- Government. Second International E-Government Conference. Czeck Republic: Prague.
[23] Kenya Gazette Spplement No. 207. (2015). The Public Procurement and Assets Disposal Act. Nairobi: Kenya Gazette.
[24] Kishor Vaidya, S. S. (2006). Journal of Public Procurement. Critical factors that influence E-procurement Implementation success in the public sector, 70-99.
[25] Kombo, D. (2006). Proposal and Thesis Writing: An Introduction. Nairobi: Nairobi Publications.
[26] Kothari, C. (2007). Research Methodology, Methods and Techniques. Mumbai: Gupta.
[27] Kumari, K., & Sundarraj, R. (2013). Electronic Procurement Systems in India: Importance. India: Aventure.
[28] Marianne Bradford, J. F. (2003). International Journal of Accounting Information Systems. examining the role of innovation diffusion factors on the implementation success of enterprise resource planning systems, 1 (2) 205-225.
[29] McFarland, D., & Hamilton, D. (2006). Adding Contextual Specificity to the Technology Acceptance Model. Computers in Human Behavior, 22 (3), 427-447
[30] Michael Morris, A. D. (1997). How User Perceptions Influence Software Use. Texas: IEEE.
[31] Morris, M. and Dillon, A. (1997). How User Perceptions Influence Software Use. IEEE Software, 14 (4), 58-65.
[32] Mugenda, O. M. (2008). Research Methods: Qualitative & Quantitative Approaches (1st Edition). Nairobi: ARTS Press.
[33] Mukhopadhyay, T., & Kekre, S. (2002). Strategic and Operational Benefits of Electronic Integration in B2B Procurement Processes. Nairobi: Management Science Publcations.
[34] Oliveira, L., & Amorim, P. (2001). Public E-Procurement, International Financial Law Review. London: Mukhopadhyay.
[35] Panayiotou, A. (2005). An E-Procurement System for Governmental Purchasing. International Journal for Production Economics, 2 (3)91-104.
[36] Price water house Coopers. (2010). Are Hubs the Centre of Things? E-Procurement in the Automotive Industry. Nairobi: Price water house Coopers.
[37] Public Procurement Oversight Authority (2015). The Public Procurement and Asset Disposal Act, 2015, Kenya Gazette Supplement No. 207 (Acts No. 33)
[38] Rajkumar, M. (2010). “E-procurement: Business and technical issues. Information Systems Management, 3 (4), 34-44.
[39] Reddick, C. (2004). The Growth of E-Procurement in American State Governments: A Model and Empirical Evidence. Edinburgh: Chambers Harrap Publishers Ltd.
[40] Rogers, M. (2003). Diffusion of Innovations, Fourth edition. NewYork: The Free Press.
[41] Serem, D. (2013). Understanding Research: A Simplified Form. Nairobi: Utafiti Publishers.
[42] Simon Croom, A. B. (2007). Journal of Purchasing and Supply Management. Supplier Development and cost management in Southeast Asia, 1 (12), 228-244.
[43] Talluri. W (2008). Benchmarking the performance of English Universities, Benchmarking International Journal, 14 (1), 102-122.
[44] Tan, K., Chong, S., & Uchenna, C. (2009). Factors influencing the adoption of internet -based ICTs: evidence from Malaysian SMEs. International Journal of Management and Enterprise Development, 4 (2)111-119.
[45] Thai, K. (2001). Public Procurement Re-Examined. Journal of Public Procurement, 1 (1), 9-17.
[46] Thai, K. V., & Grimm, R. (2000). Government Procurement: Past and current developments. Journal of Public Budgeting, Accounting & financial Management, 2 (5), 222-231.
[47] V Venkatesh, M. M. (2003). User acceptance of Information Technology. Toward A Unified View, 425.
[48] Vaidya, K., Sajeev, K., & Callender, G. (2006). Critical Factors That Influence E-Procurement Implementation Success in the Public Sector. London: Axes.
[49] Vasarelyi, M. (2012). Designing Continuous Aditing for a Highly Automated Procure-To-Pay Process. Journal of Information Systems, 3 (5), 153-166.
[50] World Bank (2014). Strategic Electronic Government Procurement. New York: The Free Press.
[51] World Bank. (2014). Strategic Electronic government Procurement. New York: The Free Press.
[52] Zakareya, I. Zahir, E. (2005). Business Process Management Journal. E-government adoption architecture and barriers 2 (1) 589-611.
[53] Zuppo, M. C. (2012). Defining ICT in a Boundary less World: The Development of A Working Hierarchy. International Journal of Managing Information Technology 4 (3), 13-23.
Cite This Article
  • APA Style

    Geoffrey Kiprotich Chepkwony, Barrack Okello. (2016). Determinants of Procure-to-Pay System Adoption in the County Government of Bomet, Kenya. Journal of Investment and Management, 5(6), 140-150. https://doi.org/10.11648/j.jim.20160506.17

    Copy | Download

    ACS Style

    Geoffrey Kiprotich Chepkwony; Barrack Okello. Determinants of Procure-to-Pay System Adoption in the County Government of Bomet, Kenya. J. Invest. Manag. 2016, 5(6), 140-150. doi: 10.11648/j.jim.20160506.17

    Copy | Download

    AMA Style

    Geoffrey Kiprotich Chepkwony, Barrack Okello. Determinants of Procure-to-Pay System Adoption in the County Government of Bomet, Kenya. J Invest Manag. 2016;5(6):140-150. doi: 10.11648/j.jim.20160506.17

    Copy | Download

  • @article{10.11648/j.jim.20160506.17,
      author = {Geoffrey Kiprotich Chepkwony and Barrack Okello},
      title = {Determinants of Procure-to-Pay System Adoption in the County Government of Bomet, Kenya},
      journal = {Journal of Investment and Management},
      volume = {5},
      number = {6},
      pages = {140-150},
      doi = {10.11648/j.jim.20160506.17},
      url = {https://doi.org/10.11648/j.jim.20160506.17},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jim.20160506.17},
      abstract = {The purpose of this paper was to examine the determinants of effective adoption of procure-to-pay system in County Government of Bomet. The study was steered by the following research objectives: to examine how Information Communication Technology infrastructure influence effective adoption of procure-to-pay system; to evaluate how staff training influence effective adoption of procure-to-pay system and to find out the influence of management on effective adoption of procure-to-pay system. The study used two theories namely; the theory of innovation diffusion and technology adoption model. The study population comprised of 57 employees working in County Information Communication Technology, procurement and finance office and the county director of procurement. Owing to the limited number of employees in the three departments, all the employees were involved in the study making the study a census survey. The study used structured questionnaires in data collection. A pilot study was conducted in Bomet County to determine validity of the research instruments where Cronbach’s alpha coefficient was used. For the purpose of establishing the relationship between the independent and dependent variable, chi square test and regression analysis was carried out. The study revealed that ICT infrastructure, staff training and management support are all critical determinants of procure-to-pay system. The study recommends that the government policy makers should come up with written guidelines in development of ICT infrastructure in public organizations. Management of county governments should identify training needs, develop training strategies and conduct regular and effective training on adoption of innovative strategies like procure to pay system. Further studies should be conducted to assess the role of the national government in adoption of procure to pay system. Studies should be conducted to assess the challenges faced by public organizations in adoption of procure to pay system and suggest possible solutions to the challenges. Lastly, further studies should be conducted to assess the benefits of adoption of procure to pay system.},
     year = {2016}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Determinants of Procure-to-Pay System Adoption in the County Government of Bomet, Kenya
    AU  - Geoffrey Kiprotich Chepkwony
    AU  - Barrack Okello
    Y1  - 2016/10/25
    PY  - 2016
    N1  - https://doi.org/10.11648/j.jim.20160506.17
    DO  - 10.11648/j.jim.20160506.17
    T2  - Journal of Investment and Management
    JF  - Journal of Investment and Management
    JO  - Journal of Investment and Management
    SP  - 140
    EP  - 150
    PB  - Science Publishing Group
    SN  - 2328-7721
    UR  - https://doi.org/10.11648/j.jim.20160506.17
    AB  - The purpose of this paper was to examine the determinants of effective adoption of procure-to-pay system in County Government of Bomet. The study was steered by the following research objectives: to examine how Information Communication Technology infrastructure influence effective adoption of procure-to-pay system; to evaluate how staff training influence effective adoption of procure-to-pay system and to find out the influence of management on effective adoption of procure-to-pay system. The study used two theories namely; the theory of innovation diffusion and technology adoption model. The study population comprised of 57 employees working in County Information Communication Technology, procurement and finance office and the county director of procurement. Owing to the limited number of employees in the three departments, all the employees were involved in the study making the study a census survey. The study used structured questionnaires in data collection. A pilot study was conducted in Bomet County to determine validity of the research instruments where Cronbach’s alpha coefficient was used. For the purpose of establishing the relationship between the independent and dependent variable, chi square test and regression analysis was carried out. The study revealed that ICT infrastructure, staff training and management support are all critical determinants of procure-to-pay system. The study recommends that the government policy makers should come up with written guidelines in development of ICT infrastructure in public organizations. Management of county governments should identify training needs, develop training strategies and conduct regular and effective training on adoption of innovative strategies like procure to pay system. Further studies should be conducted to assess the role of the national government in adoption of procure to pay system. Studies should be conducted to assess the challenges faced by public organizations in adoption of procure to pay system and suggest possible solutions to the challenges. Lastly, further studies should be conducted to assess the benefits of adoption of procure to pay system.
    VL  - 5
    IS  - 6
    ER  - 

    Copy | Download

Author Information
  • School of Entrepreneurship, Procurement & Management, Jomo Kenyatta University of Agriculture and Technology, Juja, Kenya

  • School of Entrepreneurship, Procurement & Management, Jomo Kenyatta University of Agriculture and Technology, Juja, Kenya

  • Sections