IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v158y2014icp77-90.html
   My bibliography  Save this article

The impact of barriers and benefits of e-procurement on its adoption decision: An empirical analysis

Author

Listed:
  • Toktaş-Palut, Peral
  • Baylav, Ecem
  • Teoman, Seyhan
  • Altunbey, Mustafa

Abstract

The aim of this study is to investigate the effects of the barriers and benefits of e-procurement systems on the e-procurement adoption decision. An empirical analysis is performed for a retail store chain which operates in book and stationery sector in Turkey. Interpretive Structural Modeling (ISM) technique is applied to the selected barriers and benefits to determine their contextual relationships. Inadequate IT infrastructure of suppliers/business partners is found to be the most important barrier in the adoption of e-procurement systems. On the other hand, the most significant benefit is determined as integrated information sharing. The barriers and benefits, which have high driving power and the capability to influence the other drivers, are then integrated into the structural equation model. The results denote that barriers (benefits) of e-procurement systems have negative (positive) effect on the e-procurement adoption decision for the company. In addition, it is found that the effect of benefits on the adoption decision is higher than that of the barriers. Thus, based on this analysis, it would be beneficial for the company to adopt the e-procurement system.

Suggested Citation

  • Toktaş-Palut, Peral & Baylav, Ecem & Teoman, Seyhan & Altunbey, Mustafa, 2014. "The impact of barriers and benefits of e-procurement on its adoption decision: An empirical analysis," International Journal of Production Economics, Elsevier, vol. 158(C), pages 77-90.
    • Handle: RePEc:eee:proeco:v:158:y:2014:i:c:p:77-90
    DOI: 10.1016/j.ijpe.2014.07.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527314002345
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2014.07.017?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    2. Gunasekaran, Angappa & McGaughey, Ronald E. & Ngai, Eric W.T. & Rai, Bharatendra K., 2009. "E-Procurement adoption in the Southcoast SMEs," International Journal of Production Economics, Elsevier, vol. 122(1), pages 161-175, November.
    3. Panayiotou, Nikolaos A. & Gayialis, Sotiris P. & Tatsiopoulos, I.P.Ilias P., 2004. "An e-procurement system for governmental purchasing," International Journal of Production Economics, Elsevier, vol. 90(1), pages 79-102, July.
    4. Nguyen, Hong-Oanh, 2013. "Critical factors in e-business adoption: Evidence from Australian transport and logistics companies," International Journal of Production Economics, Elsevier, vol. 146(1), pages 300-312.
    5. Thomas Astebro & Gongyue Chen, 2003. "How to Deal with Missing Categorical Data: Test of a Simple Bayesian Method," Post-Print hal-00477167, HAL.
    6. Gunasekaran, Angappa & Ngai, Eric W.T., 2008. "Adoption of e-procurement in Hong Kong: An empirical research," International Journal of Production Economics, Elsevier, vol. 113(1), pages 159-175, May.
    7. Davila, Antonio & Gupta, Mahendra & Palmer, Richard, 2003. "Moving Procurement Systems to the Internet:: the Adoption and Use of E-Procurement Technology Models," European Management Journal, Elsevier, vol. 21(1), pages 11-23, February.
    8. Govindan, Kannan & Palaniappan, Murugesan & Zhu, Qinghua & Kannan, Devika, 2012. "Analysis of third party reverse logistics provider using interpretive structural modeling," International Journal of Production Economics, Elsevier, vol. 140(1), pages 204-211.
    9. Aczel, Janos & Roberts, Fred S., 1989. "On the possible merging functions," Mathematical Social Sciences, Elsevier, vol. 17(3), pages 205-243, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rafikullah Deraman & Chen Wang & Jeffrey Boon Hui Yap & Heng Li & Faizul Azli Mohd-Rahim, 2019. "Developing Internet Online Procurement Frameworks for Construction Firms," Future Internet, MDPI, vol. 11(6), pages 1-22, June.
    2. Jain, Vineet & Raj, Tilak, 2016. "Modeling and analysis of FMS performance variables by ISM, SEM and GTMA approach," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 84-96.
    3. Ramkumar, M. & Schoenherr, Tobias & Wagner, Stephan M. & Jenamani, Mamata, 2019. "Q-TAM: A quality technology acceptance model for predicting organizational buyers’ continuance intentions for e-procurement services," International Journal of Production Economics, Elsevier, vol. 216(C), pages 333-348.
    4. Rothkopf, Alexander & Pibernik, Richard, 2016. "Maverick buying: Eliminate, participate, leverage?," International Journal of Production Economics, Elsevier, vol. 179(C), pages 77-89.
    5. Naim Ahmad & Ayman Qahmash, 2021. "SmartISM: Implementation and Assessment of Interpretive Structural Modeling," Sustainability, MDPI, vol. 13(16), pages 1-27, August.
    6. Ruiz-Benítez, Rocío & López, Cristina & Real, Juan C., 2018. "The lean and resilient management of the supply chain and its impact on performance," International Journal of Production Economics, Elsevier, vol. 203(C), pages 190-202.
    7. Niloofar Etemadi & Pieter Van Gelder & Fernanda Strozzi, 2021. "An ISM Modeling of Barriers for Blockchain/Distributed Ledger Technology Adoption in Supply Chains towards Cybersecurity," Sustainability, MDPI, vol. 13(9), pages 1-28, April.
    8. Gardas, Bhaskar B. & Raut, Rakesh D. & Narkhede, Balkrishna, 2017. "Modeling causal factors of post-harvesting losses in vegetable and fruit supply chain: An Indian perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1355-1371.
    9. Aisha Hassan & Li Cui-Xia & Naveed Ahmad & Muzaffar Iqbal & Kramat Hussain & Muhammad Ishtiaq & Maira Abrar, 2021. "Safety Failure Factors Affecting Dairy Supply Chain: Insights from a Developing Economy," Sustainability, MDPI, vol. 13(17), pages 1-24, August.
    10. Charpin, Remi & Lee, Min Kyung & Wu, Ting, 2021. "Mobile procurement platforms: Bridging the online and offline worlds in China's restaurant industry," International Journal of Production Economics, Elsevier, vol. 241(C).
    11. Ahmad, Naveed & Zhu, Yuming & Hongli, Lin & Karamat, Jawad & Waqas, Muhammad & Taskheer Mumtaz, Syed Muhammad, 2020. "Mapping the obstacles to brownfield redevelopment adoption in developing economies: Pakistani Perspective," Land Use Policy, Elsevier, vol. 91(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Amish Aqeel & Muhammad Asim, 2019. "Factors Influencing E-Procurement Practice in Pakistan," Business Management and Strategy, Macrothink Institute, vol. 10(2), pages 1-26, December.
    2. Charpin, Remi & Lee, Min Kyung & Wu, Ting, 2021. "Mobile procurement platforms: Bridging the online and offline worlds in China's restaurant industry," International Journal of Production Economics, Elsevier, vol. 241(C).
    3. Ilyas Masudin & Ganis Dwi Aprilia & Adhi Nugraha & Dian Palupi Restuputri, 2021. "Impact of E-Procurement Adoption on Company Performance: Evidence from Indonesian Manufacturing Industry," Logistics, MDPI, vol. 5(1), pages 1-16, March.
    4. Sara Belisari & Daniele Binci & Andrea Appolloni, 2020. "E-Procurement Adoption: A Case Study about the Role of Two Italian Advisory Services," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
    5. Agrawal, Saurabh & Singh, Rajesh K. & Murtaza, Qasim, 2016. "Outsourcing decisions in reverse logistics: Sustainable balanced scorecard and graph theoretic approach," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 41-53.
    6. Dodi Hardinata & Auliyah Patih Hardinata, 2024. "Understanding with a Practical Perspective the Corruption Mode of Goods/Services Procurement in Indonesian Public Organizations," International Review of Management and Marketing, Econjournals, vol. 14(1), pages 20-30, January.
    7. Jain, Vineet & Raj, Tilak, 2016. "Modeling and analysis of FMS performance variables by ISM, SEM and GTMA approach," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 84-96.
    8. A. B. Kuryatnikov & L. S. Orlova, 2018. "Cloud services: incentives of users to adaptation," Strategic decisions and risk management, Real Economy Publishing House, issue 1.
    9. Chen, Yang & Tao, Kan & Jiao, Wen & Yang, Dong, 2020. "Investigating the underlying social psychology of the innovation adoption in container trucking industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 259-270.
    10. Gunasekaran, Angappa & Ngai, Eric W.T., 2008. "Adoption of e-procurement in Hong Kong: An empirical research," International Journal of Production Economics, Elsevier, vol. 113(1), pages 159-175, May.
    11. Gunasekaran, Angappa & McGaughey, Ronald E. & Ngai, Eric W.T. & Rai, Bharatendra K., 2009. "E-Procurement adoption in the Southcoast SMEs," International Journal of Production Economics, Elsevier, vol. 122(1), pages 161-175, November.
    12. Zeng, Fangli & Chan, Hing Kai & Pawar, Kulwant, 2020. "The adoption of open platform for container bookings in the maritime supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    13. Rothkopf, Alexander & Pibernik, Richard, 2016. "Maverick buying: Eliminate, participate, leverage?," International Journal of Production Economics, Elsevier, vol. 179(C), pages 77-89.
    14. Chen, Songlin & Tseng, Mitchell M., 2010. "A Negotiation-Credit-Auction mechanism for procuring customized products," International Journal of Production Economics, Elsevier, vol. 127(1), pages 203-210, September.
    15. repec:dau:papers:123456789/8129 is not listed on IDEAS
    16. Prakash, Chandra & Barua, M.K., 2016. "An analysis of integrated robust hybrid model for third-party reverse logistics partner selection under fuzzy environment," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 63-81.
    17. Ramkumar, M. & Schoenherr, Tobias & Wagner, Stephan M. & Jenamani, Mamata, 2019. "Q-TAM: A quality technology acceptance model for predicting organizational buyers’ continuance intentions for e-procurement services," International Journal of Production Economics, Elsevier, vol. 216(C), pages 333-348.
    18. Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2006. "The effects of attitudes and personality traits on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 507-525, July.
    19. Najaf, Pooya & Thill, Jean-Claude & Zhang, Wenjia & Fields, Milton Greg, 2018. "City-level urban form and traffic safety: A structural equation modeling analysis of direct and indirect effects," Journal of Transport Geography, Elsevier, vol. 69(C), pages 257-270.
    20. Jae Seung Lee & Sungjin Park & Sanghoon Jung, 2016. "Effect of Crime Prevention through Environmental Design (CPTED) Measures on Active Living and Fear of Crime," Sustainability, MDPI, vol. 8(9), pages 1-16, August.
    21. Alvaro Rodriguez-Valencia & Jose Agustin Vallejo-Borda & German A. Barrero & Hernan Alberto Ortiz-Ramirez, 2022. "Towards an enriched framework of service evaluation for pedestrian and bicyclist infrastructure: acknowledging the power of users’ perceptions," Transportation, Springer, vol. 49(3), pages 791-814, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:158:y:2014:i:c:p:77-90. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.