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Integration of logistics and cloud computing service providers: Cost and green benefits in the Chinese context

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  • Subramanian, Nachiappan
  • Abdulrahman, Muhammad D.
  • Zhou, Xiaolai

Abstract

Drawing on the innovation diffusion theory and data from 236 Chinese small and medium-sized logistics service providers (SMLSPs), this study developed and tested a conceptual model for empirically examining the green and cost benefits of integration between cloud service providers and SMLSPs in the Chinese context. The study posits that the perceived green and cost benefits drive the need for cloud computing (CC) adoption by Chinese SMLSPs. The results indicate that Chinese SMLSPs are attracted by CC to reduce cost in a short term and to gain sustainability through green benefits in a long term. The study extends CC capabilities and enterprise integration literature in the context of logistics services.

Suggested Citation

  • Subramanian, Nachiappan & Abdulrahman, Muhammad D. & Zhou, Xiaolai, 2014. "Integration of logistics and cloud computing service providers: Cost and green benefits in the Chinese context," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 86-98.
    • Handle: RePEc:eee:transe:v:70:y:2014:i:c:p:86-98
    DOI: 10.1016/j.tre.2014.06.015
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    Cited by:

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    2. Gunasekaran, Angappa & Subramanian, Nachiappan & Papadopoulos, Thanos, 2017. "Information technology for competitive advantage within logistics and supply chains: A review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 99(C), pages 14-33.
    3. Rui Ren & Wanjie Hu & Jianjun Dong & Bo Sun & Yicun Chen & Zhilong Chen, 2019. "A Systematic Literature Review of Green and Sustainable Logistics: Bibliometric Analysis, Research Trend and Knowledge Taxonomy," IJERPH, MDPI, vol. 17(1), pages 1-25, December.
    4. K. Noorliza, 2023. "Determinants of an Environmentally Sustainable Model for Competitiveness," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    5. Govindan, Kannan & Kannan, Devika & Jørgensen, Thomas Ballegård & Nielsen, Tim Straarup, 2022. "Supply Chain 4.0 performance measurement: A systematic literature review, framework development, and empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    6. Teoman, Seyhan, 2020. "Achieving The Customized “Rights” Of Logistics By Adopting Novel Technologies: A Conceptual Approach And Literature Review," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 11(2), pages 231-242.
    7. Yu Gong & Lujie Chen & Fu Jia & Richard Wilding, 2019. "Logistics Innovation in China: The Lens of Chinese Daoism," Sustainability, MDPI, vol. 11(2), pages 1-21, January.
    8. Orji, Ifeyinwa Juliet & Kusi-Sarpong, Simonov & Huang, Shuangfa & Vazquez-Brust, Diego, 2020. "Evaluating the factors that influence blockchain adoption in the freight logistics industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    9. Hao Zhang & Jie He & Xiaomeng Shi & Qiong Hong & Jie Bao & Shuqi Xue, 2020. "Technology Characteristics, Stakeholder Pressure, Social Influence, and Green Innovation: Empirical Evidence from Chinese Express Companies," Sustainability, MDPI, vol. 12(7), pages 1-19, April.
    10. Zeng, Fangli & Chan, Hing Kai & Pawar, Kulwant, 2021. "The effects of inter- and intraorganizational factors on the adoption of electronic booking systems in the maritime supply chain," International Journal of Production Economics, Elsevier, vol. 236(C).
    11. Jayalaxmi P Shetty & Rajesh Panda, 2021. "An overview of cloud computing in SMEs," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 11(1), pages 175-188, December.
    12. Luca Ferri & Marco Maffei & Gianluigi Mangia & Andrea Tomo, 2017. "Analyzing Cloud-based Startups: Evidence from a Case Study in Italy," International Business Research, Canadian Center of Science and Education, vol. 10(5), pages 73-85, May.
    13. Yingfeng Zhang & Sichao Liu & Yang Liu & Rui Li, 2016. "Smart box-enabled product–service system for cloud logistics," International Journal of Production Research, Taylor & Francis Journals, vol. 54(22), pages 6693-6706, November.
    14. Rau, Hsin & Budiman, Syarif Daniel & Widyadana, Gede Agus, 2018. "Optimization of the multi-objective green cyclical inventory routing problem using discrete multi-swarm PSO method," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 120(C), pages 51-75.
    15. Yu, Jiang & Xiao, Xiao & Zhang, Yue, 2016. "From concept to implementation: The development of the emerging cloud computing industry in China," Telecommunications Policy, Elsevier, vol. 40(2), pages 130-146.

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