Articles | Open Access | DOI: https://doi.org/10.37547/tajmei/Volume07Issue07-02

Procurement Efficiency and Firm Competitive Advantage: Moderated Mediation Analysis of Unified Theory of Acceptance and Use of Technology: A Study in Ghana, Ashanti Region.

Emmanuel Ampong Afoakwah , PhD, Sunyani Technical University, Ghana
Kwabena Adjei , PhD , Sunyani Technical University, Ghana
Ernest Kwaku Agyei , PhD Scholar, Sir Padampat Singhania University, India

Abstract

This study explored how procurement practices relate to competitive advantage within organizations, using the Unified Theory of Acceptance and Use of Technology (UTAUT) to understand the role of technology in supply chain management. Researchers employed a quantitative approach, analyzing 245 responses from 100 regional universities using descriptive statistics and structural equation modeling (SEM) with SmartPLS software. The findings revealed a strong positive correlation between effective procurement methods and competitive advantage, leading to improved financial performance, return on investment, and profit margins. Regression analysis confirmed that efficient procurement strategically enhances economic performance. The UTAUT model highlighted that performance expectancy, effort expectancy, social influence, and facilitating factors influence the adoption and use of procurement technology. The study demonstrates how aligning procurement digitalization with the UTAUT framework can optimize sourcing, foster innovation, and boost overall profitability in supply chain management. Ultimately, this research contributes to a deeper understanding of the link between procurement practices and achieving a competitive edge in organizational supply chain management.

Keywords

Strategic Procurement, Supply Chain Management, Competitive Advantage, UTAUT, Procurement Efficiency

References

Ab Hamid, M. R., Sami, W., & Mohmad Sidek, M. H. (2017). Discriminant Validity Assessment: Use of Fornell & Larcker criterion versus HTMT Criterion. Journal of Physics: Conference Series, 890, 012163. https://doi.org/10.1088/1742-6596/890/1/012163

Abideen, A. Z., Sorooshian, S., Sundram, V. P. K., & Mohammed, A. (2023). Collaborative insights on horizontal logistics to integrate supply chain planning and transportation logistics planning – A systematic review and thematic mapping. Journal of Open Innovation: Technology, Market, and Complexity, 9(2), 100066. https://doi.org/10.1016/j.joitmc.2023.100066

Acquah, I. N., Asamoah, D., Kumi, C. A., Akyeh, J., & Agyemang, P. (2023). Untangling the nexus between supplier relationship management and competitive advantage: Insights on the role of procurement performance and supply chain responsiveness. International Journal of Emerging Markets. https://doi.org/10.1108/IJOEM-03-2022-0459

Addy, M. N., Addo, E. T., Abdulai, S. F., Kwofie, T. E., Aigbavboa, C. O., & Adade-Boateng, A. O. (2024). E-procurement acceptance in the Ghanaian public sector: An application of an extended technology acceptance model (TAM) in the construction industry. Journal of Engineering, Design and Technology. https://doi.org/10.1108/JEDT-08-2023-0373

Agrawal, T. K., Kumar, V., Pal, R., Wang, L., & Chen, Y. (2021). Blockchain-based framework for supply chain traceability: A case example of textile and clothing industry. Computers & Industrial Engineering, 154, 107130. https://doi.org/10.1016/j.cie.2021.107130

Ahmad, R., & Haq, A. U. (2023). Quantifying the Impact of Measurement Errors in Consistent Linear Partial Least Squares Structural Equation Modelling: A Monte Carlo Investigation. iRASD Journal of Economics, 5(4), 905–923. https://doi.org/10.52131/joe.2023.0504.0169

Akinnuwesi, B. A., Uzoka, F.-M. E., Fashoto, S. G., Mbunge, E., Odumabo, A., Amusa, O. O., Okpeku, M., & Owolabi, O. (2022). A modified UTAUT model for the acceptance and use of digital technology for tackling COVID-19. Sustainable Operations and Computers, 3, 118–135. https://doi.org/10.1016/j.susoc.2021.12.001

Al Halbusi, H., Al-Sulaiti, K., Abdelfattah, F., Ahmad, A. B., & Hassan, S. (2024). Understanding consumers’ adoption of e-pharmacy in Qatar: Applying the unified theory of acceptance and use of technology. Journal of Science and Technology Policy Management. https://doi.org/10.1108/JSTPM-03-2023-0042

Alnasser, E. M., Alkhozaim, S. M., Alshiha, A. A., Al-Romeedy, B. S., & Khairy, H. A. (2024). Intellectual capital and organisational resilience in tourism and hotel businesses: Do organisational agility and innovation matter? Current Issues in Tourism, 1–21. https://doi.org/10.1080/13683500.2024.2378970

Althabatah, A., Yaqot, M., Menezes, B., & Kerbache, L. (2023). Transformative Procurement Trends: Integrating Industry 4.0 Technologies for Enhanced Procurement Processes. Logistics, 7(3), 63. https://doi.org/10.3390/logistics7030063

Amaya, N., Bernal-Torres, C. A., Nicolás-Rojas, Y. W., & Pando-Ezcurra, T. T. (2024). Role of internal resources on the competitive advantage building in a knowledge-intensive organisation in an emerging market. VINE Journal of Information and Knowledge Management Systems, 54(5), 1153–1169. https://doi.org/10.1108/VJIKMS-01-2022-0029

Anna A. Filipova. (2023). Expectancy Theory in Organizations. Springer Nature Link.

Aparicio, M., Costa, C. J., & Moises, R. (2021). Gamification and reputation: Key determinants of e-commerce usage and repurchase intention. Heliyon, 7(3), e06383. https://doi.org/10.1016/j.heliyon.2021.e06383

Arun, K., & Yildirim Ozmutlu, S. (2024). The effect of environmental competitiveness, customer and competitor orientation on export performance. Journal of Business & Industrial Marketing, 39(2), 142–160. https://doi.org/10.1108/JBIM-01-2022-0019

Asare, S. O., Fobiri, G., & Bondinuba, F. K. (2024). Enhancing fairness, transparency and accountability during tendering under Ghana’s procurement system: A systematic review. Built Environment Project and Asset Management. https://doi.org/10.1108/BEPAM-04-2024-0107

Asif Kamran. (2024). Does E-Procurement Adoption Help Textile Industry of Pakistan for Recruitment. Springer Nature Link.

Ayaz, A., & Yanartaş, M. (2020). An analysis on the unified theory of acceptance and use of technology theory (UTAUT): Acceptance of electronic document management system (EDMS). Computers in Human Behavior Reports, 2, 100032. https://doi.org/10.1016/j.chbr.2020.100032

Bajunaied, K., Hussin, N., & Kamarudin, S. (2023a). Behavioral intention to adopt FinTech services: An extension of unified theory of acceptance and use of technology. Journal of Open Innovation: Technology, Market, and Complexity, 9(1), 100010. https://doi.org/10.1016/j.joitmc.2023.100010

Balkhi, B., Alshahrani, A., & Khan, A. (2022). Just-in-time approach in healthcare inventory management: Does it really work? Saudi Pharmaceutical Journal, 30(12), 1830–1835. https://doi.org/10.1016/j.jsps.2022.10.013

Beldad, A. D., & Hegner, S. M. (2018). Expanding the Technology Acceptance Model with the Inclusion of Trust, Social Influence, and Health Valuation to Determine the Predictors of German Users’ Willingness to Continue using a Fitness App: A Structural Equation Modeling Approach. International Journal of Human–Computer Interaction, 34(9), 882–893. https://doi.org/10.1080/10447318.2017.1403220

Bhandari, N., Garza-Reyes, J. A., Rocha-Lona, L., Kumar, A., Naz, F., & Joshi, R. (2022). Barriers to sustainable sourcing in the apparel and fashion luxury industry. Sustainable Production and Consumption, 31, 220–235. https://doi.org/10.1016/j.spc.2022.02.007

Brandon-Jones, A., & Kauppi, K. (2018). Examining the antecedents of the technology acceptance model within e-procurement. International Journal of Operations & Production Management, 38(1), 22–42. https://doi.org/10.1108/IJOPM-06-2015-0346

Camilleri, M. A. (2024). Factors affecting performance expectancy and intentions to use ChatGPT: Using SmartPLS to advance an information technology acceptance framework. Technological Forecasting and Social Change, 201, 123247. https://doi.org/10.1016/j.techfore.2024.123247

Charpin, R., Lee, M. K., & Wu, T. (2021). Mobile procurement platforms: Bridging the online and offline worlds in China’s restaurant industry. International Journal of Production Economics, 241, 108256. https://doi.org/10.1016/j.ijpe.2021.108256

Davit Marikyan. (2023). Unified Theory of Acceptance and Use of Technology.

De Oliveira, U. R., Espindola, L. S., Da Silva, I. R., Da Silva, I. N., & Rocha, H. M. (2018). A systematic literature review on green supply chain management: Research implications and future perspectives. Journal of Cleaner Production, 187, 537–561. https://doi.org/10.1016/j.jclepro.2018.03.083

Ding, K., Gong, X. Y., Huang, T., & Choo, W. C. (2024). Recommend or not: A comparative analysis of customer reviews to uncover factors influencing explicit online recommendation behavior in peer-to-peer accommodation. European Research on Management and Business Economics, 30(1), 100236. https://doi.org/10.1016/j.iedeen.2023.100236

Duarte, P., & Pinho, J. C. (2019). A mixed methods UTAUT2-based approach to assess mobile health adoption. Journal of Business Research, 102, 140–150. https://doi.org/10.1016/j.jbusres.2019.05.022

Dwivedi, A., Dwivedi, P., Joshi, K., Sharma, V., Sengar, A., Agrawal, R., Sharma, P. K., Dixit, G., & Barthwal, M. (2022). Local leader’s impact on adoption of renewable energy generation technology by rural communities in the Himalayan region. Journal of Cleaner Production,

Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., Jain, V., Karjaluoto, H., Kefi, H., Krishen, A. S., Kumar, V., Rahman, M. M., Raman, R., Rauschnabel, P. A., Rowley, J., Salo, J., Tran, G. A., & Wang, Y. (2021d). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management, 59, 102168. https://doi.org/10.1016/j.ijinfomgt.2020.102168

Evangelista, P., Kianto, A., Hussinki, H., Vanhala, M., & Nisula, A.-M. (2023). Knowledge-Based Human Resource Management, Logistics Capability, and Organizational Performance in Small Finnish Logistics Service Providers. Logistics, 7(1), 12. https://doi.org/10.3390/logistics7010012

Foerstl, K., Kähkönen, A.-K., Blome, C., & Goellner, M. (2021). Supply market orientation: A dynamic capability of the purchasing and supply management function. Supply Chain Management: An International Journal, 26(1), 65–83. https://doi.org/10.1108/SCM-06-2019-0233

Fragkiskaki,. (2024). Big data and analytics in enhancing procurement and supply chain efficiency: PSEPHEDA.

Gaudenzi, B., Pellegrino, R., & Confente, I. (2023). Achieving supply chain resilience in an era of disruptions: A configuration approach of capacities and strategies. Supply Chain Management: An International Journal, 28(7), 97–111. https://doi.org/10.1108/SCM-09-2022-0383

Gumasing, Ma. J. J., & Ilo, C. K. K. (2023). The Impact of Job Satisfaction on Creating a Sustainable Workplace: An Empirical Analysis of Organizational Commitment and Lifestyle Behavior. Sustainability, 15(13), 10283. https://doi.org/10.3390/su151310283

Hiran, K. K., & Dadhich, M. (2024). Predicting the core determinants of cloud-edge computing adoption (CECA) for sustainable development in the higher education institutions of Africa: A high order SEM-ANN analytical approach. Technological Forecasting and Social Change, 199, 122979. https://doi.org/10.1016/j.techfore.2023.122979

Hm, A. J., Kb, A., & Vr, H. (2024). Technology Adoption in Material Procurement: An Empirical Study Applying the UTAUT Model Among Construction Companies in India. Global Business Review, 09721509241244989. https://doi.org/10.1177/09721509241244989

Hoang, H., & Le Tan, T. (2023). Unveiling digital transformation: Investigating technology adoption in Vietnam’s food delivery industry for enhanced customer experience. Heliyon, 9(9), e19719. https://doi.org/10.1016/j.heliyon.2023.e19719

Hussam Al Halbusi. (2022). Assessing Factors Influencing Technology Adoption for Online Purchasing Amid COVID-19 in Qatar: Moderating Role of Word of Mouth. Frontiers in Environmental Science.

Ikpe, V., & Shamsuddoha, M. (2024). Functional Model of Supply Chain Waste Reduction and Control Strategies for Retailers—The USA Retail Industry. Logistics, 8(1), 22. https://doi.org/10.3390/logistics8010022

Kelly, S., Kaye, S.-A., & Oviedo-Trespalacios, O. (2023). What factors contribute to the acceptance of artificial intelligence? A systematic review. Telematics and Informatics, 77, 101925. https://doi.org/10.1016/j.tele.2022.101925

Khatri, P., Dutta, S., Kumari, P., Duggal, H. K., Thomas, A., Cristillo, I., & Nobis, S. (2023). Modeling intellectual capital-based intrapreneurial ability of working professionals through servant leadership and self-efficacy. Journal of Intellectual Capital, 24(6), 1485–1505. https://doi.org/10.1108/JIC-10-2022-0208

Khedr, A. M., & S, S. R. (2024). Enhancing supply chain management with deep learning and machine learning techniques: A review. Journal of Open Innovation: Technology, Market, and Complexity, 10(4), 100379. https://doi.org/10.1016/j.joitmc.2024.100379

Kumar, S., Goel, U., Joshi, P., & Johri, A. (2024). Factors affecting Information & Communication Technology (ICT) adoption among MSMEs. Journal of Open Innovation: Technology, Market, and Complexity, 10(1), 100205. https://doi.org/10.1016/j.joitmc.2023.100205

Kumar, V., Ashraf, A. R., & Nadeem, W. (2024). AI-powered marketing: What, where, and how? International Journal of Information Management, 77, 102783. https://doi.org/10.1016/j.ijinfomgt.2024.102783

Kumar, V., Sharma, K. V., Kedam, N., Patel, A., Kate, T. R., & Rathnayake, U. (2024). A comprehensive review on smart and sustainable agriculture using IoT technologies. Smart Agricultural Technology, 8, 100487. https://doi.org/10.1016/j.atech.2024.100487

Li, K., Zhang, L., & Huang, H. (2018). Social Influence Analysis: Models, Methods, and Evaluation. Engineering, 4(1), 40–46. https://doi.org/10.1016/j.eng.2018.02.004

Liu, W., Cao, Y., Hou, J., Cheng, Y., Chan, H. K., & Tang, O. (2024). Green procurement or green supply? A meta-analysis of their impacts on firm sustainability performance. International Journal of Logistics Research and Applications, 1–35. https://doi.org/10.1080/13675567.2024.2351027

Marc Hockings. (2021). Developing capacity for a protected planet. IUCN, Gland, Switzerland.

Mashat, R. M., Abourokbah, S. H., & Salam, M. A. (2024a). Impact of Internet of Things Adoption on Organizational Performance: A Mediating Analysis of Supply Chain Integration, Performance, and

Mikalef, P., Krogstie, J., Pappas, I. O., & Pavlou, P. (2020). Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities. Information & Management, 57(2), 103169. https://doi.org/10.1016/j.im.2019.05.004

Mohsen, B. M. (2023). Impact of Artificial Intelligence on Supply Chain Management Performance. Journal of Service Science and Management, 16(01), 44–58. https://doi.org/10.4236/jssm.2023.161004

Moshtari, M., Altay, N., Heikkilä, J., & Gonçalves, P. (2021). Procurement in humanitarian organizations: Body of knowledge and practitioner’s challenges. International Journal of Production Economics, 233, 108017. https://doi.org/10.1016/j.ijpe.2020.108017

Mulvihill, Emily, Preview author details, & . (2023). The Role of Leadership in Implementing Social–Emotional Learning in the Online Classroom: A Qualitative Study. American College of Education.

Neves, C., Oliveira, T., Cruz-Jesus, F., & Venkatesh, V. (2025). Extending the unified theory of acceptance and use of technology for sustainable technologies context. International Journal of Information Management, 80, 102838. https://doi.org/10.1016/j.ijinfomgt.2024.102838

Nwali, Nwanyieze, Preview author details, & . (2021). Process Factors Influencing Informed Consent for Participation in Clinical Research. University of Northumbria at Newcastle (United Kingdom).

Oduro, S., De Nisco, A., & Mainolfi, G. (2023). Do digital technologies pay off? A meta-analytic review of the digital technologies/firm performance nexus. Technovation, 128, 102836. https://doi.org/10.1016/j.technovation.2023.102836

Pattanayak, D., & Punyatoya, P. (2019). Effect of supply chain technology internalization and e-procurement on supply chain performance. Business Process Management Journal, 26(6), 1425–1442. https://doi.org/10.1108/BPMJ-04-2019-0150

Puyana-Romero, V., Larrea-Álvarez, C., Díaz-Márquez, A., Hernández-Molina, R., & Ciaburro, G. (2024). Developing a Model to Predict Self-Reported Student Performance during Online Education Based on the Acoustic Environment. Sustainability, 16(11), 4411. https://doi.org/10.3390/su16114411

Raden Edi, S. (2022). Performance expectancy of E-learning on higher institutions of education under uncertain conditions: Indonesia context. Springer Nature Link.

Rana, G., & Arya, V. (2024). Green human resource management and environmental performance: Mediating role of green innovation – a study from an emerging country. Foresight, 26(1), 35–58. https://doi.org/10.1108/FS-04-2021-0094

Rashid, M. R. A., Hasan, M., Islam, M. A., Tasnim, S. T., Taifa, R. J., Mahbub, S., Mansoor, N., Ali, M. S., Jabid, T., Islam, M., & Islam, M. M. (2024). Transforming agri-food value chains in Bangladesh: A practical application of blockchain for traceability and fair pricing. Heliyon, 10(21), e40091. https://doi.org/10.1016/j.heliyon.2024.e40091

Rejeb, A., Suhaiza, Z., Rejeb, K., Seuring, S., & Treiblmaier, H. (2022). The Internet of Things and the circular economy: A systematic literature review and research agenda. Journal of Cleaner Production, 350, 131439. https://doi.org/10.1016/j.jclepro.2022.131439

Rozemeijer, F. (Frank). (2000). Creating corporate advantage in purchasing. Technische Universiteit

Shabalov, M. Yu., Zhukovskiy, Yu. L., Buldysko, A. D., Gil, B., & Starshaia, V. V. (2021). The influence of technological changes in energy efficiency on the infrastructure deterioration in the energy sector. Energy Reports, 7, 2664–2680. https://doi.org/10.1016/j.egyr.2021.05.001

Sharma, A., & Sharma, S. (2023). Digital marketing adoption by small travel agencies: A comprehensive PLS-SEM model using reflective and higher-order formative constructs. European Journal of Innovation Management. https://doi.org/10.1108/EJIM-09-2022-0532

Sivarajah, U., Kamal, M. M., Irani, Z., & Weerakkody, V. (2017). Critical analysis of Big Data challenges and analytical methods. Journal of Business Research, 70, 263–286. https://doi.org/10.1016/j.jbusres.2016.08.001

Slam, Md. R. I., Monjur, Md. E. I., & Akon, T. (2023). Supply Chain Management and Logistics: How Important Interconnection Is for Business Success. Open Journal of Business and Management, 11(05), 2505–2524. https://doi.org/10.4236/ojbm.2023.115139

Soori, M., Dastres, R., & Arezoo, B. (2023). AI-powered blockchain technology in industry 4.0, a review. Journal of Economy and Technology, 1, 222–241. https://doi.org/10.1016/j.ject.2024.01.001

Susitha, E., Jayarathna, A., & Herath, H. M. R. P. (2024). Supply chain competitiveness through agility and digital technology: A bibliometric analysis. Supply Chain Analytics, 7, 100073. https://doi.org/10.1016/j.sca.2024.100073

Sweeney, E., Grant, D. B., & Mangan, D. J. (2018). Strategic adoption of logistics and supply chain management. International Journal of Operations & Production Management, 38(3), 852–873.

Trizano-Hermosilla, I., & Alvarado, J. M. (2016). Best Alternatives to Cronbach’s Alpha Reliability in Realistic Conditions: Congeneric and Asymmetrical Measurements. Frontiers in Psychology, 7. https://doi.org/10.3389/fpsyg.2016.00769

Uyen Nguyen, T. T., Van Nguyen, P., Truong, G. Q., Ngoc Huynh, H. T., & Hoang Le, T. P. M. (2024). Investigating the impact of citizen relationship quality and the moderating effects of citizen involvement on E-government adoption. Journal of Open Innovation: Technology, Market, and Complexity, 10(3), 100372. https://doi.org/10.1016/j.joitmc.2024.100372

Vincenzo Varriale. (2023). Critical analysis of the impact of artificial intelligence integration with cutting-edge technologies for production systems. Springer Nature Link.

Wang, M., Wood, L. C., & Wang, B. (2022). Transportation capacity shortage influence on logistics performance: Evidence from the driver shortage. Heliyon, 8(5), e09423. https://doi.org/10.1016/j.heliyon.2022.e09423

Wang, S., Cheah, J.-H., Wong, C. Y., & Ramayah, T. (2024). Progress in partial least squares structural equation modeling use in logistics and supply chain management in the last decade: A structured literature review. International Journal of Physical Distribution & Logistics Management, 54(7/8), 673–704. https://doi.org/10.1108/IJPDLM-06-2023-0200

Yeh, T.-M., Pai, F.-Y., & Wu, L.-C. (2020). Relationship Stability and Supply Chain Performance for SMEs: From Internal, Supplier, and Customer Integration Perspectives. Mathematics, 8(11), 1902. https://doi.org/10.3390/math8111902

Yogesh K., D. (2023). Social Media Adoption, Usage And Impact In Business-To-Business (B2B) Context: A State-Of-The-Art Literature Review. Springer Nature Link.

Yum, K., & Yoo, B. (2023). The Impact of Service Quality on Customer Loyalty through Customer Satisfaction in Mobile Social Media. Sustainability, 15(14), 11214. https://doi.org/10.3390/su151411214

Zhang, Z., & Takahashi, Y. (2024). How and when team-member exchange influences knowledge hiding behaviors: A moderated dual-pathway model. Heliyon, 10(7), e28373. https://doi.org/10.1016/j.heliyon.2024.e28373

Zhou, H., Wang, R., Zhang, X., & Chang, M. (2024). The impact of digital technology adoption on corporate supply chain concentration: Evidence from patent analysis. Finance Research Letters, 64, 105413. https://doi.org/10.1016/j.frl.2024.105413

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Emmanuel Ampong Afoakwah, Kwabena Adjei, & Ernest Kwaku Agyei. (2025). Procurement Efficiency and Firm Competitive Advantage: Moderated Mediation Analysis of Unified Theory of Acceptance and Use of Technology: A Study in Ghana, Ashanti Region. The American Journal of Management and Economics Innovations, 7(07), 08–24. https://doi.org/10.37547/tajmei/Volume07Issue07-02