IDEAS home Printed from https://ideas.repec.org/a/mth/bmsmti/v12y2021i2p159-171.html
   My bibliography  Save this article

The Impact of E-Management Innovation System on Improving Corporate Operating Performance

Author

Listed:
  • Li-Wei Lin
  • Shih-Yung Wei

Abstract

E-management innovation system in recent years, the supply chain management system has been continuously upgrading and innovating, the main purpose is to improve the efficiency of its supply chain and reduce costs. This study investigates the effect of e-management system on supply chain efficiency. We use three assumptions to design, information technology innovation, information environment, relationship risk to do in-depth discussion on whether the efficiency of the supply chain will be affected. In this study, the Likert seven-point scale was used to design the survey method. In this study, N=331 questionnaires were issued, and 195 questionnaires were finally available, which met the minimum sample number. The main object of this study is to investigate the senior executives in zhejiang electronics industry. This result proves that e-management innovation system can improve the efficiency of its supply chain. We observed and verified the correlation results through three dependent variables and one fruit variable.

Suggested Citation

  • Li-Wei Lin & Shih-Yung Wei, 2021. "The Impact of E-Management Innovation System on Improving Corporate Operating Performance," Business Management and Strategy, Macrothink Institute, vol. 12(2), pages 159-171, December.
  • Handle: RePEc:mth:bmsmti:v:12:y:2021:i:2:p:159-171
    as

    Download full text from publisher

    File URL: https://www.macrothink.org/journal/index.php/bms/article/download/18959/14754
    Download Restriction: no

    File URL: https://www.macrothink.org/journal/index.php/bms/article/view/18959
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gunasekaran, A. & Ngai, E. W. T., 2004. "Information systems in supply chain integration and management," European Journal of Operational Research, Elsevier, vol. 159(2), pages 269-295, December.
    2. Kevin Zhu & Kenneth L. Kraemer & Sean Xu, 2006. "The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business," Management Science, INFORMS, vol. 52(10), pages 1557-1576, October.
    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. Sören Wallbach & Katrin Coleman & Ralf Elbert & Alexander Benlian, 2019. "Multi-sided platform diffusion in competitive B2B networks: inhibiting factors and their impact on network effects," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(4), pages 693-710, December.
    2. Michal Košíček & Radek Tesař & František Dařena & Roman Malo & Arnošt Motyčka, 2012. "Route planning module as a part of Supply Chain Management system," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 60(2), pages 135-142.
    3. Nurmilaakso, Juha-Miikka, 2008. "Adoption of e-business functions and migration from EDI-based to XML-based e-business frameworks in supply chain integration," International Journal of Production Economics, Elsevier, vol. 113(2), pages 721-733, June.
    4. Anke Joubert & Matthias Murawski & Markus Bick, 2023. "Measuring the Big Data Readiness of Developing Countries – Index Development and its Application to Africa," Information Systems Frontiers, Springer, vol. 25(1), pages 327-350, February.
    5. Lutfi, Abdalwali & Alrawad, Mahmaod & Alsyouf, Adi & Almaiah, Mohammed Amin & Al-Khasawneh, Ahmad & Al-Khasawneh, Akif Lutfi & Alshira'h, Ahmad Farhan & Alshirah, Malek Hamed & Saad, Mohamed & Ibrahim, 2023. "Drivers and impact of big data analytic adoption in the retail industry: A quantitative investigation applying structural equation modeling," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    6. Luther Yuong Qai Chong & Thien Sang Lim, 2022. "Pull and Push Factors of Data Analytics Adoption and Its Mediating Role on Operational Performance," Sustainability, MDPI, vol. 14(12), pages 1-19, June.
    7. Maike Müller & Dirk Stegelmeyer & Rakesh Mishra, 2023. "Development of an augmented reality remote maintenance adoption model through qualitative analysis of success factors," Operations Management Research, Springer, vol. 16(3), pages 1490-1519, September.
    8. Goknur Arzu Akyuz & Guner Gursoy, 2020. "Strategic management perspectives on supply chain," Management Review Quarterly, Springer, vol. 70(2), pages 213-241, May.
    9. Xu, Jinying & Lu, Weisheng, 2022. "Developing a human-organization-technology fit model for information technology adoption in organizations," Technology in Society, Elsevier, vol. 70(C).
    10. 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.
    11. Rok Lee, 2021. "The Effect of Supply Chain Management Strategy on Operational and Financial Performance," Sustainability, MDPI, vol. 13(9), pages 1-18, May.
    12. Youngho Kang & Jeongmeen Suh, 2022. "Information technology and the spatial reorganization of firms," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(3), pages 674-692, August.
    13. Naim, Mohamed M. & Gosling, Jonathan, 2011. "On leanness, agility and leagile supply chains," International Journal of Production Economics, Elsevier, vol. 131(1), pages 342-354, May.
    14. Keller, Jonas & von der Gracht, Heiko A., 2014. "The influence of information and communication technology (ICT) on future foresight processes — Results from a Delphi survey," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 81-92.
    15. Denis Dennehy & Kieran Conboy & Jaganath Babu, 2023. "Adopting Learning Analytics to Inform Postgraduate Curriculum Design: Recommendations and Research Agenda," Information Systems Frontiers, Springer, vol. 25(4), pages 1315-1331, August.
    16. Ayat Sami ODEIBAT, 2021. "The Effect Of Technology Evolution On The Future Of Jobs," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 17, pages 57-67, June.
    17. Jianying Xiao & Lixin Han & Hui Zhang, 2022. "Exploring Driving Factors of Digital Transformation among Local Governments: Foundations for Smart City Construction in China," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    18. 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.
    19. Ni, Linglin & Wang, Xiaokun (Cara) & Zhang, Dapeng, 2016. "Impacts of information technology and urbanization on less-than-truckload freight flows in China: An analysis considering spatial effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 12-25.
    20. Kauremaa, Jouni & Kärkkäinen, Mikko & Ala-Risku, Timo, 2009. "Customer initiated interorganizational information systems: The operational impacts and obstacles for small and medium sized suppliers," International Journal of Production Economics, Elsevier, vol. 119(2), pages 228-239, June.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    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:mth:bmsmti:v:12:y:2021:i:2:p:159-171. 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: Technical Support Office (email available below). General contact details of provider: http://www.macrothink.org/journal/index.php/bms .

    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.