IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v214y2025ics0040162525000757.html
   My bibliography  Save this article

Navigating the power of blockchain strategy: Analysis of technology-organization-environment (TOE) framework and innovation resistance theory using PLS-SEM and ANN insights

Author

Listed:
  • Alnoor, Alhamzah
  • Abbas, Sammar
  • Sadaa, Abdullah Mohammed
  • Chew, XinYing
  • Bayram, Gül Erkol

Abstract

Blockchain technology is rapidly replacing traditional technologies. This technology offers numerous benefits, including transparency, safety and security, authenticity, and traceability, which drive business organizations to adopt it. Thus, the factors that generate resistance to the adoption of blockchain technology must be recognized, and an organization's strategy toward adopting blockchain technology must be influenced. In this study, the vital factors that produce resistance to blockchain technology from the perspective of oil companies operating in Iraq were determined. The three-pronged framework of technology, organization, and environment (TOE) was employed to identify the elements that affect resistance to blockchain technology, with subsequent effects on the blockchain strategy. Data were collected using a questionnaire distributed among the managers of the target companies. Among the 381 distributed questionnaires, 313 usable responses were gathered and analyzed via partial least square–structural equation modeling and artificial neural networks to test the proposed hypotheses. The findings show that all the elements of the TOE framework are crucially associated with resistance to blockchain technology and consequently shape the blockchain strategy. Furthermore, resistance to blockchain technology mediates the link between predictors of TOE factors and the blockchain strategy. Therefore, in this work, the present knowledge on resistance to blockchain technology and the blockchain strategy is enhanced by explicating the factors inhibiting blockchain technology adoption in a previously overlooked context. The findings provide practical insight for managers of oil companies to devise effective blockchain strategies for the optimal adoption of blockchain technology.

Suggested Citation

  • Alnoor, Alhamzah & Abbas, Sammar & Sadaa, Abdullah Mohammed & Chew, XinYing & Bayram, Gül Erkol, 2025. "Navigating the power of blockchain strategy: Analysis of technology-organization-environment (TOE) framework and innovation resistance theory using PLS-SEM and ANN insights," Technological Forecasting and Social Change, Elsevier, vol. 214(C).
  • Handle: RePEc:eee:tefoso:v:214:y:2025:i:c:s0040162525000757
    DOI: 10.1016/j.techfore.2025.124044
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162525000757
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2025.124044?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. Huang, Dan & Jin, Xin & Coghlan, Alexandra, 2021. "Advances in consumer innovation resistance research: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    2. Michael Antioco & Mirella Kleijnen, 2010. "Consumer adoption of technological innovations : Effects of psychological and functional barriers in a lack of content versus a presence of content situation," Post-Print hal-02312561, HAL.
    3. Hackius, Niels & Petersen, Moritz, 2017. "Blockchain in logistics and supply chain: Trick or treat?," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Digitalization in Supply Chain Management and Logistics: Smart and Digital Solutions for an Industry 4.0 Environment. Proceedings of the Hamburg Inter, volume 23, pages 3-18, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    4. Bin Shen & Ciwei Dong & Stefan Minner, 2022. "Combating Copycats in the Supply Chain with Permissioned Blockchain Technology," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 138-154, January.
    5. Daeheon Choi & Chune Young Chung & Thou Seyha & Jason Young, 2020. "Factors Affecting Organizations’ Resistance to the Adoption of Blockchain Technology in Supply Networks," Sustainability, MDPI, vol. 12(21), pages 1-37, October.
    6. Premkumar, G. & Roberts, Margaret, 1999. "Adoption of new information technologies in rural small businesses," Omega, Elsevier, vol. 27(4), pages 467-484, August.
    7. Kautish, Pradeep & Siddiqui, Mujahid & Siddiqui, Aaliyah & Sharma, Veenu & Alshibani, Safiya Mukhtar, 2023. "Technology-enabled cure and care: An application of innovation resistance theory to telemedicine apps in an emerging market context," Technological Forecasting and Social Change, Elsevier, vol. 192(C).
    8. M. Antioco & M. Kleijnen, 2010. "Consumer adoption of technological innovations Effects of psychological and functional barriers in a lack of content versus a presence of content situation," Post-Print hal-00387308, HAL.
    9. Kleijnen, Mirella & Lee, Nick & Wetzels, Martin, 2009. "An exploration of consumer resistance to innovation and its antecedents," Journal of Economic Psychology, Elsevier, vol. 30(3), pages 344-357, June.
    10. Venkataiah Chittipaka & Satish Kumar & Uthayasankar Sivarajah & Jana Lay-Hwa Bowden & Manish Mohan Baral, 2023. "Blockchain Technology for Supply Chains operating in emerging markets: an empirical examination of technology-organization-environment (TOE) framework," Annals of Operations Research, Springer, vol. 327(1), pages 465-492, August.
    11. Anne Marie Knott & Carl Vieregger, 2020. "Reconciling the Firm Size and Innovation Puzzle," Organization Science, INFORMS, vol. 31(2), pages 477-488, March.
    12. Friedman, Nicola & Ormiston, Jarrod, 2022. "Blockchain as a sustainability-oriented innovation?: Opportunities for and resistance to Blockchain technology as a driver of sustainability in global food supply chains," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    13. Iyanna, Shilpa & Kaur, Puneet & Ractham, Peter & Talwar, Shalini & Najmul Islam, A.K.M., 2022. "Digital transformation of healthcare sector. What is impeding adoption and continued usage of technology-driven innovations by end-users?," Journal of Business Research, Elsevier, vol. 153(C), pages 150-161.
    14. Kristoffer Francisco & David Swanson, 2018. "The Supply Chain Has No Clothes: Technology Adoption of Blockchain for Supply Chain Transparency," Logistics, MDPI, vol. 2(1), pages 1-13, January.
    15. Samuelson, William & Zeckhauser, Richard, 1988. "Status Quo Bias in Decision Making," Journal of Risk and Uncertainty, Springer, vol. 1(1), pages 7-59, March.
    16. Hew, Jun-Jie & Leong, Lai-Ying & Tan, Garry Wei-Han & Ooi, Keng-Boon & Lee, Voon-Hsien, 2019. "The age of mobile social commerce: An Artificial Neural Network analysis on its resistances," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 311-324.
    17. Manish Talwar & Laura Corazza & Rahul Bodhi & Areej Malibari, 2023. "Why do consumers resist digital innovations? An innovation resistance theory perspective," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 19(11), pages 4327-4342, February.
    18. Dutta, Pankaj & Choi, Tsan-Ming & Somani, Surabhi & Butala, Richa, 2020. "Blockchain technology in supply chain operations: Applications, challenges and research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    19. Tseng, Fang-Mei & Liang, Ching-Wen & Nguyen, Ngoc B., 2023. "Blockchain technology adoption and business performance in large enterprises: A comparison of the United States and China," Technology in Society, Elsevier, vol. 73(C).
    20. Babich, Volodymyr & Hilary, Gilles, 2019. "Blockchain and other Distributed Ledger Technologies in Operations," Foundations and Trends(R) in Technology, Information and Operations Management, now publishers, vol. 12(2-3), pages 152-172, March.
    21. Hyowon Jang & Jayeon Song & Sunjoo Kim & Jung-Hyun Byun & Kyoung G. Lee & Kwang-Hyun Park & Euijeon Woo & Eun-Kyung Lim & Juyeon Jung & Taejoon Kang, 2023. "ANCA: artificial nucleic acid circuit with argonaute protein for one-step isothermal detection of antibiotic-resistant bacteria," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    22. Kamble, Sachin S. & Gunasekaran, Angappa & Kumar, Vikas & Belhadi, Amine & Foropon, Cyril, 2021. "A machine learning based approach for predicting blockchain adoption in supply Chain," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    23. Jesse Yli-Huumo & Deokyoon Ko & Sujin Choi & Sooyong Park & Kari Smolander, 2016. "Where Is Current Research on Blockchain Technology?—A Systematic Review," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-27, October.
    24. Teck Ming Tan & Jari Salo, 2023. "Ethical Marketing in the Blockchain-Based Sharing Economy: Theoretical Integration and Guiding Insights," Journal of Business Ethics, Springer, vol. 183(4), pages 1113-1140, April.
    25. Dwivedi, Yogesh K. & Balakrishnan, Janarthanan & Das, Ronnie & Dutot, Vincent, 2023. "Resistance to innovation: A dynamic capability model based enquiry into retailers’ resistance to blockchain adaptation," Journal of Business Research, Elsevier, vol. 157(C).
    26. Han, Myat Su & Chen, Weiming, 2021. "Determinants of eco-innovation adoption of small and medium enterprises: An empirical analysis in Myanmar," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    27. Akshit Kurani & Pavan Doshi & Aarya Vakharia & Manan Shah, 2023. "A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting," Annals of Data Science, Springer, vol. 10(1), pages 183-208, February.
    28. Alnoor, Alhamzah & Abbas, Sammar & Khaw, Khai Wah & Muhsen, Yousif Raad & Chew, XinYing, 2024. "Unveiling the optimal configuration of impulsive buying behavior using fuzzy set qualitative comparative analysis and multi-criteria decision approach," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
    29. Leong, Lai-Ying & Hew, Teck-Soon & Ooi, Keng-Boon & Chong, Alain Yee-Loong, 2020. "Predicting the antecedents of trust in social commerce – A hybrid structural equation modeling with neural network approach," Journal of Business Research, Elsevier, vol. 110(C), pages 24-40.
    30. Saleem Malik & Mehmood Chadhar & Savanid Vatanasakdakul & Madhu Chetty, 2021. "Factors Affecting the Organizational Adoption of Blockchain Technology: Extending the Technology–Organization–Environment (TOE) Framework in the Australian Context," Sustainability, MDPI, vol. 13(16), pages 1-33, August.
    31. Shahzad, Khuram & Zhang, Qingyu & Ashfaq, Muhammad & Zafar, Abaid Ullah & Ahmad, Bilal, 2024. "Pre- to post-adoption of blockchain technology in supply chain management: Influencing factors and the role of firm size," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    32. Xu, Biao & Li, Hao & Zhang, Xiaodan & Alejandro, Thomas Brashear, 2023. "Equilibrium blockchain adoption strategies for duopolistic competitive platforms with network effects," Journal of Business Research, Elsevier, vol. 164(C).
    33. Preeti Khanna & Arunima Haldar, 2022. "Will adoption of blockchain technology be challenging: evidence from Indian banking industry," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 15(2), pages 361-384, November.
    34. Wong, Lai-Wan & Leong, Lai-Ying & Hew, Jun-Jie & Tan, Garry Wei-Han & Ooi, Keng-Boon, 2020. "Time to seize the digital evolution: Adoption of blockchain in operations and supply chain management among Malaysian SMEs," International Journal of Information Management, Elsevier, vol. 52(C).
    35. Angelis, Jannis & Ribeiro da Silva, Elias, 2019. "Blockchain adoption: A value driver perspective," Business Horizons, Elsevier, vol. 62(3), pages 307-314.
    36. Ahmad, Raja Wasim & Salah, Khaled & Jayaraman, Raja & Yaqoob, Ibrar & Omar, Mohammed, 2022. "Blockchain in oil and gas industry: Applications, challenges, and future trends," Technology in Society, Elsevier, vol. 68(C).
    37. Kouhizadeh, Mahtab & Saberi, Sara & Sarkis, Joseph, 2021. "Blockchain technology and the sustainable supply chain: Theoretically exploring adoption barriers," International Journal of Production Economics, Elsevier, vol. 231(C).
    38. Asif Mahmood & Asif Arshad Ali & Muhammad Nazam & Muhammad Nazim, 2021. "Developing an interplay among the psychological barriers for the adoption of industry 4.0 phenomenon," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-26, August.
    39. Manish Mohan Baral & Amitabh Verma, 2021. "Cloud Computing Adoption for Healthcare: An Empirical Study Using SEM Approach," FIIB Business Review, , vol. 10(3), pages 255-275, September.
    40. Chen, Chia-Chen & Chang, Chin-Hsuan & Hsiao, Kuo-Lun, 2022. "Exploring the factors of using mobile ticketing applications: Perspectives from innovation resistance theory," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    41. Lu, Liyan & Liang, Changyong & Gu, Dongxiao & Ma, Yiming & Xie, Yuguang & Zhao, Shuping, 2021. "What advantages of blockchain affect its adoption in the elderly care industry? A study based on the technology–organisation–environment framework," Technology in Society, Elsevier, vol. 67(C).
    42. Sachin Kamble & Angappa Gunasekaran & Vikas Kumar & Amine Belhadi & Cyril Foropon, 2021. "A machine learning based approach for predicting blockchain adoption in supply chain," Post-Print hal-03539287, HAL.
    43. Sadiq, Mohd & Adil, Mohd & Paul, Justin, 2021. "An innovation resistance theory perspective on purchase of eco-friendly cosmetics," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    44. Alalwan, Ali Abdallah, 2020. "Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse," International Journal of Information Management, Elsevier, vol. 50(C), pages 28-44.
    45. Thompson, Benjamin S. & Rust, Sascha, 2023. "Blocking blockchain: Examining the social, cultural, and institutional factors causing innovation resistance to digital technology in seafood supply chains," Technology in Society, Elsevier, vol. 73(C).
    46. Komulainen, Ruey & Nätti, Satu, 2023. "Barriers to blockchain adoption: Empirical observations from securities services value network," Journal of Business Research, Elsevier, vol. 159(C).
    47. Dehghani, Milad & William Kennedy, Ryan & Mashatan, Atefeh & Rese, Alexandra & Karavidas, Dionysios, 2022. "High interest, low adoption. A mixed-method investigation into the factors influencing organisational adoption of blockchain technology," Journal of Business Research, Elsevier, vol. 149(C), pages 393-411.
    48. Walsh, Clara & O’Reilly, Philip & Gleasure, Rob & McAvoy, John & O’Leary, Kevin, 2021. "Understanding manager resistance to blockchain systems," European Management Journal, Elsevier, vol. 39(3), pages 353-365.
    49. Igor Radanović & Robert Likić, 2018. "Opportunities for Use of Blockchain Technology in Medicine," Applied Health Economics and Health Policy, Springer, vol. 16(5), pages 583-590, October.
    50. Gaurav Kabra, 2023. "Determinants of blockchain adoption and organizational performance in the healthcare sector in India," American Journal of Business, Emerald Group Publishing Limited, vol. 38(3), pages 152-171, August.
    51. Gupta, Somya & Ghardallou, Wafa & Pandey, Dharen Kumar & Sahu, Ganesh P., 2022. "Artificial intelligence adoption in the insurance industry: Evidence using the technology–organization–environment framework," Research in International Business and Finance, Elsevier, vol. 63(C).
    52. Yogesh K. Dwivedi & J. Balakrishnan & R. Das & Vincent Dutot, 2023. "Resistance to Innovation: A Dynamic Capability Model Based Enquiry into Retailers' Resistance to Blockchain Adaptation," Post-Print hal-04292611, HAL.
    53. Behnke, Kay & Janssen, M.F.W.H.A., 2020. "Boundary conditions for traceability in food supply chains using blockchain technology," International Journal of Information Management, Elsevier, vol. 52(C).
    Full references (including those not matched with items on IDEAS)

    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. Dwivedi, Yogesh K. & Balakrishnan, Janarthanan & Das, Ronnie & Dutot, Vincent, 2023. "Resistance to innovation: A dynamic capability model based enquiry into retailers’ resistance to blockchain adaptation," Journal of Business Research, Elsevier, vol. 157(C).
    2. Komulainen, Ruey & Nätti, Satu, 2023. "Barriers to blockchain adoption: Empirical observations from securities services value network," Journal of Business Research, Elsevier, vol. 159(C).
    3. Neelesh Kumar Mishra & Swapnil Sahoo & Swati Agarwal & Poorva Pande Sharma & Faizan Ilahi, 2025. "Impact of institutional pressures and security on blockchain technology adoption and organization performance: an empirical study," The Journal of Technology Transfer, Springer, vol. 50(1), pages 245-270, February.
    4. Friedman, Nicola & Ormiston, Jarrod, 2022. "Blockchain as a sustainability-oriented innovation?: Opportunities for and resistance to Blockchain technology as a driver of sustainability in global food supply chains," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    5. Zhang, Ying & Tavalaei, M. Mahdi & Parry, Glenn & Zhou, Peng, 2024. "Evolution or involution? A systematic literature review of organisations' blockchain adoption factors," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    6. Shahzad, Khuram & Zhang, Qingyu & Ashfaq, Muhammad & Zafar, Abaid Ullah & Ahmad, Bilal, 2024. "Pre- to post-adoption of blockchain technology in supply chain management: Influencing factors and the role of firm size," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    7. Chakraborty, Debarun & Singu, Hari Babu & Patre, Smruti, 2022. "Fitness Apps's purchase behaviour: Amalgamation of Stimulus-Organism-Behaviour-Consequence framework (S–O–B–C) and the innovation resistance theory (IRT)," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    8. Venkataiah Chittipaka & Satish Kumar & Uthayasankar Sivarajah & Jana Lay-Hwa Bowden & Manish Mohan Baral, 2023. "Blockchain Technology for Supply Chains operating in emerging markets: an empirical examination of technology-organization-environment (TOE) framework," Annals of Operations Research, Springer, vol. 327(1), pages 465-492, August.
    9. Fatma Gül Yazıcılar Sola & Dilşad Güzel, 2025. "The Role of Supply Chain Transparency and Supplier Trust in the Impact of Blockchain Technology Adoption on New Product Development," Sustainability, MDPI, vol. 17(11), pages 1-31, June.
    10. Huang, Dan & Jin, Xin & Coghlan, Alexandra, 2021. "Advances in consumer innovation resistance research: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    11. 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.
    12. Ulpan Tokkozhina & Ana Lucia Martins & Joao C. Ferreira, 2023. "Uncovering dimensions of the impact of blockchain technology in supply chain management," Operations Management Research, Springer, vol. 16(1), pages 99-125, March.
    13. Hajiheydari, Nastaran & Delgosha, Mohammad Soltani & Olya, Hossein, 2021. "Scepticism and resistance to IoMT in healthcare: Application of behavioural reasoning theory with configurational perspective," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    14. Gajendra Liyanaarachchi & Giampaolo Viglia & Fidan Kurtaliqi, 2024. "Addressing challenges of digital transformation with modified blockchain," Post-Print hal-04440365, HAL.
    15. Lavaei Adaryani, Rasool & Palouj, Mojtaba & Karbasioun, Mostafa & Asadi, Ali & Gholami, Hesamedin & Kianirad, Ali & Joodi Damirchi, Milad, 2024. "Antecedents of blockchain adoption in the poultry supply chain: An extended UTAUT model," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    16. Mahmud, Hasan & Islam, A.K.M. Najmul & Mitra, Ranjan Kumar, 2023. "What drives managers towards algorithm aversion and how to overcome it? Mitigating the impact of innovation resistance through technology readiness," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    17. Tan, Teck Ming & Salo, Jari & Brashear Alejandro, Thomas G. & Wei-Han Tan, Garry & Ooi, Keng-Boon & Dwivedi, Yogesh K., 2024. "Guest editorial: A blockchain-based approach to marketing in the sharing economy," Journal of Business Research, Elsevier, vol. 177(C).
    18. Rizwan Manzoor & B. S. Sahay & Sujeet Kumar Singh, 2025. "Blockchain technology in supply chain management: an organizational theoretic overview and research agenda," Annals of Operations Research, Springer, vol. 348(3), pages 1307-1354, May.
    19. Talwar, Shalini & Talwar, Manish & Kaur, Puneet & Dhir, Amandeep, 2020. "Consumers’ resistance to digital innovations: A systematic review and framework development," Australasian marketing journal, Elsevier, vol. 28(4), pages 286-299.
    20. Aman Kumar & Amit Shankar & Aviral Kumar Tiwari & Hae-Jung Hong, 2025. "Understanding dark side of online community engagement: an innovation resistance theory perspective," Information Systems and e-Business Management, Springer, vol. 23(1), pages 13-39, March.

    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:tefoso:v:214:y:2025:i:c:s0040162525000757. 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.sciencedirect.com/science/journal/00401625 .

    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.