Antecedents and Consequences of Internet Use in Procurement: An Empirical Investigation of U.S. Manufacturing Firms
Abstract
This paper examines the antecedents and consequences of Internet use in the procurement process. Drawing upon the resource-based view (RBV) of the firm and the technology, organization, and environment framework, we develop an integrative model that examines the antecedents and consequences of Internet use in two stages—the search stage and the order initiation and completion (OIC) stage—of the procurement process. The model enables us to deconstruct both the usage and the performance aspects of information technology (IT) in business processes, and to provide insights into the enablers of use and business value. The model is estimated with survey data from 412 firms. Our results suggest that while some resources, such as procurement-process digitization, influence Internet use in both the procurement stages, other resources, such as the diversity of organizational procurement knowledge, impact Internet use in only one stage. We also find that Internet use in the OIC stage has a more significant impact on procurement-process performance than use in search. This study extends the digital capabilities and firm performance literature in the context of electronic procurement. This study also contributes to the small but emerging stream of literature that investigates antecedents, the extent, and implications of IT use holistically.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A significant proportion of extant e-procurement literature focuses on decision-making at an organisational level, investigating the factors that drive organisations towards the adoption of such technologies.
“A significant proportion of extant e-procurement literature focuses on decision-making at an organisational level, investigating the factors that drive organisations towards the adoption of such technologies (Angeles and Nath, 2007; Gunasekaran and Ngai, 2008; Mishra et al. 2007; Wu et al. 2007).”
From Examining the antecedents of the technology acceptance model within e-procurement (2018) · cites this paper as Mishra et al. 2007
Cites
Firm Resources and Sustained Competitive Advantage
Barney, J. (1991) · Journal of Management · doi:10.1177/014920639101700108 · Cited by 48,334 · see citing works
Self-Reports in Organizational Research: Problems and Prospects
Podsakoff, P. M., & Organ, D. W. (1986) · Journal of Management · doi:10.1177/014920638601200408 · Cited by 17,102 · see citing works
Bharadwaj, A. S. (2000) · MIS Quarterly · doi:10.2307/3250983 · Cited by 5,042 · see citing works
A contingent resource-based view of proactive corporate environmental strategy
Aragón-Correa, J. A., & Sharma, S. (2003) · Academy of Management Review · doi:10.5465/amr.2003.8925233 · Cited by 2,362 · see citing works
Technology Diffusion and Organizational Learning: The Case of Business Computing
Attewell, P. (1992) · Organization Science · doi:10.1287/orsc.3.1.1 · Cited by 1,401 · see citing works
Factors Affecting the Adoption of Open Systems: An Exploratory Study1
Chau, P. Y. K., & Tam, K. Y. (1997) · MIS Quarterly · doi:10.2307/249740 · Cited by 1,067 · see citing works
The Assimilation of Software Process Innovations: An Organizational Learning Perspective
Fichman, R. G., & Kemerer, C. F. (1997) · Management Science · doi:10.1287/mnsc.43.10.1345 · Cited by 811 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Adopters and non-adopters of e-procurement in Singapore: An empirical study
Teo, T. S. H., Lin, S., & Lai, K.-H. (2009) · Omega · doi:10.1016/j.omega.2008.11.001 · Cited by 397 · see citing works
Impact of e-procurement: Experiences from implementation in the UK public sector
Croom, S., & Brandon-Jones, A. (2007) · Journal of Purchasing and Supply Management · doi:10.1016/j.pursup.2007.09.015 · Cited by 239 · see citing works
Information Technology Impacts on Firm Performance: An Extension of Kohli and 1
Sabherwal, R., & Jeyaraj, A. (2015) · MIS Quarterly · doi:10.25300/misq/2015/39.4.4 · Cited by 200 · see citing works
Examining the antecedents of the technology acceptance model within e-procurement
Brandon-Jones, A., & Kauppi, K. (2018) · International Journal of Operations & Production Management · doi:10.1108/ijopm-06-2015-0346 · Cited by 181 · see citing works
A Review on TAM and TOE Framework Progression and How These Models Integrate
Bryan, J. D., & Zuva, T. (2021) · Advances in Science Technology and Engineering Systems Journal · doi:10.25046/aj060316 · Cited by 119 · see citing works
“As per [2] some inter-organisational variables context are on EDI that identifies the power of partners, an expectation in the partner and tie responsibility with a partner and dependency of the partner.”
BackgroundMethodInfluentialThe assimilation of RFID technology by Chinese companies: A technology diffusion perspective
Wei, J., Lowry, P. B., & Seedorf, S. (2015) · Information & Management · doi:10.1016/j.im.2015.05.001 · Cited by 112 · see citing works
Yang, J., Luo, B., Zhao, C., & Zhang, H. (2022) · DIGITAL HEALTH · doi:10.1177/20552076221126034 · Cited by 81 · see citing works
The impact of user‐perceived e‐procurement quality on system and contract compliance
Brandon‐Jones, A., & Carey, S. (2011) · International Journal of Operations & Production Management · doi:10.1108/01443571111111928 · Cited by 58 · see citing works
Aboelmaged, M., & Hashem, G. (2018) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2018.07.009 · Cited by 50 · see citing works
Sánchez-Rodríguez, C., Martínez-Lorente, A. R., & Hemsworth, D. (2020) · Benchmarking: An International Journal · doi:10.1108/bij-12-2018-0413 · Cited by 48 · see citing works
Tinali, G. Z. P. (2022) · University of Dar es Salaam Library Journal · doi:10.4314/udslj.v17i1.3 · Cited by 8 · see citing works
- Authors
- Mishra, A. N., Konana, P., & Barua, A.
- Affiliations
- University of Maryland, College Park (US)
- The University of Texas at Austin (US)
- Venue
- Information Systems Research
- Published
- 2007-03
- Volume
- 18
- Issue
- 1
- Pages
- 103-120
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W2118289722
- Cited by
- 267
- References
- 7
- Citations by year
- 2026: 3 · 2025: 16 · 2024: 13 · 2023: 13 · 2022: 28 · 2021: 16 · 2020: 14 · 2019: 14 · 2018: 10 · 2017: 14 · 2016: 14 · 2015: 21 · 2014: 13 · 2013: 17 · 2012: 24
- FWCI
- 11.72
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information Systems Research (publishedVersion)
- Iowa State University Digital Repository (Iowa State University) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Outsourcing and Supply Chain Management
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Management Information Systems › Quality and Supply Management
- Keywords
- internet use, e-procurement, manufacturing companies, resource-based view, procurement performance, digital capabilities, business value of IT
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review