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The relationship between supply chain factors and adoption of e-Collaboration tools: An empirical examination

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  • Chong, Alain Yee-Loong
  • Ooi, Keng-Boon
  • Sohal, Amrik

Abstract

Purpose The principle aim of this paper is to empirically investigate the relationship between supply chain factors and the adoption of e-Collaboration tools in the supply chain of Electrical and Electronic (E&E) organizations in Malaysia.Design/methodology/approach Data for this study were collected using a self-administered questionnaire that was distributed to 400 E&E organizations in Malaysia. Of the 400 questionnaires posted, 109 usable questionnaires were returned, yielding a response rate of 27.25%. Correlation and multiple regression analyses were applied to analyze the data collected.Findings The supply chain factors affecting the adoption of e-Collaboration tools are trust, product complexity and product volume and frequency. Trust is found to have the strongest influence on the adoption of e-Collaboration, followed by product complexity and product volume and frequency.Originality/value The findings contribute towards an understanding of what supply chain factors influence the adoption of e-Collaboration tools, which is essential in the implementation of collaborative supply chain. In terms of theoretical contribution, this study has extended previous research conducted in Western countries and advances our understanding of the association between supply chain factors and adoption of e-Collaboration tools in a developing economy. Unlike existing adoption research which emphasizes on organization, innovation and environment factors, this research shows that supply chain factors are important in the adoption of technologies in the supply chain. Findings from this research can help organizations in their planning to adopt e-Collaboration tools as they will be able to apply strategies based on the findings from this research.

Suggested Citation

  • Chong, Alain Yee-Loong & Ooi, Keng-Boon & Sohal, Amrik, 2009. "The relationship between supply chain factors and adoption of e-Collaboration tools: An empirical examination," International Journal of Production Economics, Elsevier, vol. 122(1), pages 150-160, November.
    • Handle: RePEc:eee:proeco:v:122:y:2009:i:1:p:150-160
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    2. Juha-Miikka Nurmilaakso, 2014. "Coordination costs and ICT investments: an economic analysis," Netnomics, Springer, vol. 15(2), pages 57-67, September.
    3. Luo, Jun & Chong, Alain Yee-Loong & Ngai, Eric W.T. & Liu, Martin J., 2014. "Green Supply Chain Collaboration implementation in China: The mediating role of guanxi," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 98-110.
    4. Almaaf Bader Ali A & Jian-Jun Miao & Quang Dung Tran, 2018. "Study on E-Commerce Adoption in SMEs Under the Institutional Perspective: The Case of Saudi Arabia," International Journal of E-Adoption (IJEA), IGI Global, vol. 10(1), pages 53-72, January.
    5. Goodarzi, Shadi & Masini, Andrea & Aflaki, Sam & Fahimnia, Behnam, 2021. "Right information at the right time: Reevaluating the attitude–behavior gap in environmental technology adoption," International Journal of Production Economics, Elsevier, vol. 242(C).
    6. Chong, Alain Yee-Loong & Zhou, Li, 2014. "Demand chain management: Relationships between external antecedents, web-based integration and service innovation performance," International Journal of Production Economics, Elsevier, vol. 154(C), pages 48-58.
    7. Lee, Voon-Hsien & Ooi, Keng-Boon & Chong, Alain Yee-Loong & Sohal, Amrik, 2018. "The effects of supply chain management on technological innovation: The mediating role of guanxi," International Journal of Production Economics, Elsevier, vol. 205(C), pages 15-29.
    8. Dandan He & Zhongfu Li & Chunlin Wu & Xin Ning, 2018. "An E-Commerce Platform for Industrialized Construction Procurement Based on BIM and Linked Data," Sustainability, MDPI, vol. 10(8), pages 1-21, July.
    9. Wang, Longwei & Yeung, Jeff Hoi Yan & Zhang, Min, 2011. "The impact of trust and contract on innovation performance: The moderating role of environmental uncertainty," International Journal of Production Economics, Elsevier, vol. 134(1), pages 114-122, November.
    10. Luo, Jun & Chong, Alain Yee-Loong & Ngai, Eric W.T. & Liu, Martin J., 2015. "Reprint of “Green Supply Chain Collaboration implementation in China: The mediating role of guanxi”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 74(C), pages 37-49.
    11. Satyendra Kumar Sharma & Swapnajit Chakraborti & Tanaya Jha, 2019. "Analysis of book sales prediction at Amazon marketplace in India: a machine learning approach," Information Systems and e-Business Management, Springer, vol. 17(2), pages 261-284, December.
    12. DeGroote, Sharon E. & Marx, Thomas G., 2013. "The impact of IT on supply chain agility and firm performance: An empirical investigation," International Journal of Information Management, Elsevier, vol. 33(6), pages 909-916.
    13. Bonnin Roca, Jaime & O'Sullivan, Eoin, 2020. "Seeking coherence between barriers to manufacturing technology adoption and innovation policy," International Journal of Production Economics, Elsevier, vol. 230(C).
    14. Mohammed Alraeeini & Qiuyan Zhong & Elena Antarciuc, 2019. "Analysing Drivers and Barriers of Accommodation Sharing in Dubai Using the Grey-DEMATEL Approach," Sustainability, MDPI, vol. 11(20), pages 1-24, October.
    15. Zhang, Yanming & Huo, Baofeng & Haney, Mark H. & Kang, Mingu, 2022. "The effect of buyer digital capability advantage on supplier unethical behavior: A moderated mediation model of relationship transparency and relational capital," International Journal of Production Economics, Elsevier, vol. 253(C).
    16. Alain Yee Loong Chong & Eugene Ch’ng & Martin J. Liu & Boying Li, 2017. "Predicting consumer product demands via Big Data: the roles of online promotional marketing and online reviews," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 5142-5156, September.

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