IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v212y2019icp176-185.html
   My bibliography  Save this article

The curvilinear relationships between structural embeddedness and productive efficiency: An exploratory study

Author

Listed:
  • (Daniel) Kao, Ta-Wei
  • Su, Hung-Chung
  • Chen, Yi-Su

Abstract

Existing network studies pay much attention to the benefits of structural embeddedness. However, Uzzi (1996) points out the marginal benefits of structural embeddedness may follow a pattern of diminishing returns. Using major customer disclosure data from Compustat, this study investigates the curvilinear relationships between multiple aspects of structural embeddedness and productive efficiency. Applying both Wang and Ho (2010) and Chen and Lin (2009) stochastic frontier models, we confirm the diminishing returns of eigenvector and betweenness centralities with a partial support for interconnectedness. Implications from our findings can help decision makers better understand the effects of structural embeddedness and help devise network structural change strategies for productive efficiency.

Suggested Citation

  • (Daniel) Kao, Ta-Wei & Su, Hung-Chung & Chen, Yi-Su, 2019. "The curvilinear relationships between structural embeddedness and productive efficiency: An exploratory study," International Journal of Production Economics, Elsevier, vol. 212(C), pages 176-185.
    • Handle: RePEc:eee:proeco:v:212:y:2019:i:c:p:176-185
    DOI: 10.1016/j.ijpe.2019.02.020
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527319300830
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2019.02.020?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. Mazzola, Erica & Perrone, Giovanni & Kamuriwo, Dzidziso Samuel, 2015. "Network embeddedness and new product development in the biopharmaceutical industry: The moderating role of open innovation flow," International Journal of Production Economics, Elsevier, vol. 160(C), pages 106-119.
    2. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    3. Yoon Hee Kim, 2017. "The Effects of Major Customer Networks on Supplier Profitability," Journal of Supply Chain Management, Institute for Supply Management, vol. 53(1), pages 26-40, January.
    4. Lin, Winston T. & Chuang, Chia-Hung & Choi, Jeong Hoon, 2010. "A partial adjustment approach to evaluating and measuring the business value of information technology," International Journal of Production Economics, Elsevier, vol. 127(1), pages 158-172, September.
    5. Kee H. Chung & Stephen W. Pruitt, 1994. "A Simple Approximation of Tobin's q," Financial Management, Financial Management Association, vol. 23(3), Fall.
    6. Wang, Hung-Jen & Ho, Chia-Wen, 2010. "Estimating fixed-effect panel stochastic frontier models by model transformation," Journal of Econometrics, Elsevier, vol. 157(2), pages 286-296, August.
    7. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    8. Lin, Winston T. & Chiang, Chung-Yean, 2011. "The impacts of country characteristics upon the value of information technology as measured by productive efficiency," International Journal of Production Economics, Elsevier, vol. 132(1), pages 13-33, July.
    9. Chen, Yueh H. & Lin, Winston T., 2009. "Analyzing the relationships between information technology, inputs substitution and national characteristics based on CES stochastic frontier production models," International Journal of Production Economics, Elsevier, vol. 120(2), pages 552-569, August.
    10. Son, Byung-Gak & Kocabasoglu-Hillmer, Canan & Roden, Sinéad, 2016. "A dyadic perspective on retailer–supplier relationships through the lens of social capital," International Journal of Production Economics, Elsevier, vol. 178(C), pages 120-131.
    11. Mazzola, Erica & Perrone, Giovanni, 2013. "A strategic needs perspective on operations outsourcing and other inter-firm relationships," International Journal of Production Economics, Elsevier, vol. 144(1), pages 256-267.
    12. Kao, Ta-Wei (Daniel) & Simpson, N.C. & Shao, Benjamin B.M. & Lin, Winston T., 2017. "Relating supply network structure to productive efficiency: A multi-stage empirical investigation," European Journal of Operational Research, Elsevier, vol. 259(2), pages 469-485.
    13. Antonio Alvarez & Christine Amsler & Luis Orea & Peter Schmidt, 2006. "Interpreting and Testing the Scaling Property in Models where Inefficiency Depends on Firm Characteristics," Journal of Productivity Analysis, Springer, vol. 25(3), pages 201-212, June.
    14. Melissa A. Schilling & Corey C. Phelps, 2007. "Interfirm Collaboration Networks: The Impact of Large-Scale Network Structure on Firm Innovation," Management Science, INFORMS, vol. 53(7), pages 1113-1126, July.
    15. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    16. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    17. Steven Carnovale & Sengun Yeniyurt, 2015. "The Role of Ego Network Structure in Facilitating Ego Network Innovations," Journal of Supply Chain Management, Institute for Supply Management, vol. 51(2), pages 22-46, April.
    18. Peter Moran, 2005. "Structural vs. relational embeddedness: social capital and managerial performance," Strategic Management Journal, Wiley Blackwell, vol. 26(12), pages 1129-1151, December.
    19. Tingting Yan & Thomas Y. Choi & Yusoon Kim & Yang Yang, 2015. "A Theory of the Nexus Supplier: A Critical Supplier From A Network Perspective," Journal of Supply Chain Management, Institute for Supply Management, vol. 51(1), pages 52-66, January.
    20. Ann Echols & Wenpin Tsai, 2005. "Niche and performance: the moderating role of network embeddedness," Strategic Management Journal, Wiley Blackwell, vol. 26(3), pages 219-238, March.
    21. Yi-Ting Chen & Hung-Jen Wang, 2012. "Centered-Residuals-Based Moment Estimator and Test for Stochastic Frontier Models," Econometric Reviews, Taylor & Francis Journals, vol. 31(6), pages 625-653, November.
    22. Erik Brynjolfsson & Lorin Hitt, 1996. "Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending," Management Science, INFORMS, vol. 42(4), pages 541-558, April.
    23. Zeki Simsek, 2009. "Organizational Ambidexterity: Towards a Multilevel Understanding," Journal of Management Studies, Wiley Blackwell, vol. 46(4), pages 597-624, June.
    24. Kiron Ravindran & Anjana Susarla & Deepa Mani & Vijay Gurbaxani, 2015. "Social Capital and Contract Duration in Buyer-Supplier Networks for Information Technology Outsourcing," Information Systems Research, INFORMS, vol. 26(2), pages 379-397, June.
    25. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    26. Rajdeep Grewal & Gary L. Lilien & Girish Mallapragada, 2006. "Location, Location, Location: How Network Embeddedness Affects Project Success in Open Source Systems," Management Science, INFORMS, vol. 52(7), pages 1043-1056, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Simpson, N.C. & Tacheva, Zhasmina & Kao, Ta-Wei, 2023. "Semi-directedness: New network concepts for supply chain research," International Journal of Production Economics, Elsevier, vol. 256(C).
    2. Kumbhakar, Subal C. & Peresetsky, Anatoly & Shchetynin, Yevgenii & Zaytsev, Alexey, 2020. "Technical efficiency and inefficiency: Reassurance of standard SFA models and a misspecification problem," MPRA Paper 102797, University Library of Munich, Germany.
    3. Xiaoxiao Shi & Qingpu Zhang, 2020. "Network inertia and inbound open innovation: is there a bidirectional relationship?," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 791-815, February.
    4. Hernandez-Vivanco, Alfonso & Bernardo, Merce, 2023. "Management systems and productive efficiency along the certification life-cycle," International Journal of Production Economics, Elsevier, vol. 266(C).
    5. Sharma, Amalesh & Pathak, Surya & Borah, Sourav Bikash & Adhikary, Anirban, 2022. "Collaboration strategies in buyer-supplier relational (BSR) networks and sustainable firm performance: A trade-off story," International Journal of Production Economics, Elsevier, vol. 253(C).
    6. Su, Hung-Chung & Kao, Ta-Wei (Daniel) & Linderman, Kevin, 2020. "Where in the supply chain network does ISO 9001 improve firm productivity?," European Journal of Operational Research, Elsevier, vol. 283(2), pages 530-540.
    7. Tsionas, Mike G. & Patel, Pankaj C., 2023. "Accounting for intra-industry technological heterogeneity in the measurement of operations efficiency," International Journal of Production Economics, Elsevier, vol. 260(C).
    8. Haoyang Song & Ruixu Chen & Xiucai Yang & Jianhua Hou, 2024. "How Does the Innovation Openness of China’s Sci-Tech Innovation Enterprises Support Innovation Quality: The Mediation Role of Structural Embeddedness," Mathematics, MDPI, vol. 12(19), pages 1-21, September.

    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. Su, Hung-Chung & Kao, Ta-Wei (Daniel) & Linderman, Kevin, 2020. "Where in the supply chain network does ISO 9001 improve firm productivity?," European Journal of Operational Research, Elsevier, vol. 283(2), pages 530-540.
    2. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    3. Belotti, Federico & Ilardi, Giuseppe, 2018. "Consistent inference in fixed-effects stochastic frontier models," Journal of Econometrics, Elsevier, vol. 202(2), pages 161-177.
    4. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
    5. Amalesh Sharma & V. Kumar & Jun Yan & Sourav Bikash Borah & Anirban Adhikary, 2019. "Understanding the structural characteristics of a firm’s whole buyer–supplier network and its impact on international business performance," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 50(3), pages 365-392, April.
    6. Lin, Winston T. & Chen, Yueh H. & Chou, Chia-Ching, 2021. "Assessing the business values of e-commerce and information technology separately and jointly and their impacts upon US firms' performance as measured by productive efficiency," International Journal of Production Economics, Elsevier, vol. 241(C).
    7. Fabio Pieri & Enrico Zaninotto, 2010. "The Impact of Vertical Integration and Outsourcing on Firm Efficiency: Evidence from the Italian Machine Tool Industry," DISA Working Papers 1001, Department of Computer and Management Sciences, University of Trento, Italy, revised 11 Mar 2010.
    8. Antonio Alvarez & Carlos Arias, 2014. "A selection of relevant issues in applied stochastic frontier analysis," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 3-11.
    9. Gralka, Sabine, 2018. "Stochastic frontier analysis in higher education: A systematic review," CEPIE Working Papers 05/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    10. Paul, Satya & Shankar, Sriram, 2018. "Modelling Efficiency Effects in a True Fixed Effects Stochastic Frontier," MPRA Paper 87437, University Library of Munich, Germany.
    11. Satya Paul & Sriram Shankar, 2020. "Estimating efficiency effects in a panel data stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 53(2), pages 163-180, April.
    12. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2018. "Does econometric methodology matter to rank universities? An analysis of Italian higher education system," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 104-120.
    13. Agasisti, Tommaso & Barra, Cristian & Zotti, Roberto, 2016. "Evaluating the efficiency of Italian public universities (2008–2011) in presence of (unobserved) heterogeneity," Socio-Economic Planning Sciences, Elsevier, vol. 55(C), pages 47-58.
    14. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2015. "Explaining (in)efficiency in higher education: a comparison of parametric and non-parametric analyses to rank universities," MPRA Paper 67119, University Library of Munich, Germany.
    15. Sugathan, Anish & Malghan, Deepak & Chandrashekar, S. & Sinha, Deepak K., 2019. "Downstream electric utility restructuring and upstream generation efficiency: Productivity dynamics of Indian coal and gas based electricity generators," Energy, Elsevier, vol. 178(C), pages 832-852.
    16. Ali M. Oumer & Amin Mugera & Michael Burton & Atakelty Hailu, 2022. "Technical efficiency and firm heterogeneity in stochastic frontier models: application to smallholder maize farms in Ethiopia," Journal of Productivity Analysis, Springer, vol. 57(2), pages 213-241, April.
    17. Lin, Winston T. & Chen, Yueh H. & Shao, Benjamin B.M., 2015. "Assessing the business values of information technology and e-commerce independently and jointly," European Journal of Operational Research, Elsevier, vol. 245(3), pages 815-827.
    18. Cristian Barra & Roberto Zotti, 2017. "Investigating the Human Capital Development–growth Nexus," International Regional Science Review, , vol. 40(6), pages 638-678, November.
    19. Gangopadhyay, Partha & Jain, Siddharth & Bakry, Walid, 2022. "In search of a rational foundation for the massive IT boom in the Australian banking industry: Can the IT boom really drive relationship banking?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    20. Jinjin Zhao, 2020. "Productivity change in the privatized water sector in China (1999–2006)," Journal of Productivity Analysis, Springer, vol. 53(2), pages 227-241, April.

    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:proeco:v:212:y:2019:i:c:p:176-185. 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.elsevier.com/locate/ijpe .

    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.