IDEAS home Printed from https://ideas.repec.org/a/spr/opmare/v16y2023i2d10.1007_s12063-022-00333-0.html
   My bibliography  Save this article

Exploring outsourcing service productivity from the buyer and supplier perspective: A case analysis in the fleet maintenance industry

Author

Listed:
  • Rafael Marques

    (Sodexo Inc)

  • Rafael Teixeira

    (College of Charleston)

  • Daniel P. Lacerda

    (Universidade do Vale do Rio dos Sinos)

  • Fabio S. Piran

    (Universidade do Vale do Rio dos Sinos)

Abstract

Service productivity is measured as the relationship between outputs and inputs. In the outsourcing service industry, these outputs are different for buyers and suppliers, generating potential conflicts in the service process. Also, buyers’ choices impact their inputs and, consequently, productivity. This study explores these relationships and their impact on service productivity. First, we assess the service productivity using outputs important for the buyer and outputs important for the supplier. Second, we assess which service characteristics (inputs) of each B2B affect productivity. We employed a data envelopment analysis to obtain efficiency scores for buyers’ and suppliers’ outputs. Then, we used these scores in a Tobit regression model to determine which inputs affect productivity. Findings show that the maximization of some buyers’ inputs and outputs is not optimal for the supplier. Managers can use buyers and transaction data to identify the contribution of each B2B buyer to productivity and design better service contracts.

Suggested Citation

  • Rafael Marques & Rafael Teixeira & Daniel P. Lacerda & Fabio S. Piran, 2023. "Exploring outsourcing service productivity from the buyer and supplier perspective: A case analysis in the fleet maintenance industry," Operations Management Research, Springer, vol. 16(2), pages 853-867, June.
  • Handle: RePEc:spr:opmare:v:16:y:2023:i:2:d:10.1007_s12063-022-00333-0
    DOI: 10.1007/s12063-022-00333-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12063-022-00333-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12063-022-00333-0?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. Anna Corinna Cagliano & Alberto Marco & Giulio Mangano & Giovanni Zenezini, 2017. "Levers of logistics service providers’ efficiency in urban distribution," Operations Management Research, Springer, vol. 10(3), pages 104-117, December.
    2. Piran, Fabio Antonio Sartori & Lacerda, Daniel Pacheco & Camargo, Luis Felipe Riehs & Viero, Carlos Frederico & Dresch, Aline & Cauchick-Miguel, Paulo Augusto, 2016. "Product modularization and effects on efficiency: An analysis of a bus manufacturer using data envelopment analysis (DEA)," International Journal of Production Economics, Elsevier, vol. 182(C), pages 1-13.
    3. Kirjavainen, Tanja & Loikkanent, Heikki A., 1998. "Efficiency differences of finnish senior secondary schools: An application of DEA and Tobit analysis," Economics of Education Review, Elsevier, vol. 17(4), pages 377-394, October.
    4. Re, Beatrice & Magnani, Giovanna, 2022. "Value co-creation in circular entrepreneurship: An exploratory study on born circular SMEs," Journal of Business Research, Elsevier, vol. 147(C), pages 189-207.
    5. Mei Xue & Lorin M. Hitt & Patrick T. Harker, 2007. "Customer Efficiency, Channel Usage, and Firm Performance in Retail Banking," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 535-558, April.
    6. Uday Karmarkar, 2015. "OM Forum—The Service and Information Economy: Research Opportunities," Manufacturing & Service Operations Management, INFORMS, vol. 17(2), pages 136-141, May.
    7. E. Grigoroudis & E. Tsitsiridi & C. Zopounidis, 2013. "Linking customer satisfaction, employee appraisal, and business performance: an evaluation methodology in the banking sector," Annals of Operations Research, Springer, vol. 205(1), pages 5-27, May.
    8. Albachiara Boffelli & Luciano Fratocchi & Matteo Kalchschmidt & Susana Cristina Lima da Costa e Silva, 2021. "Doing the right thing or doing things right: what is better for a successful manufacturing reshoring?," Operations Management Research, Springer, vol. 14(1), pages 1-16, June.
    9. White, Sheneeta W. & Badinelli, Ralph D., 2012. "A model for efficiency-based resource integration in services," European Journal of Operational Research, Elsevier, vol. 217(2), pages 439-447.
    10. Guillaume Roels & Uday S. Karmarkar & Scott Carr, 2010. "Contracting for Collaborative Services," Management Science, INFORMS, vol. 56(5), pages 849-863, May.
    11. Piran, Fabio Sartori & Lacerda, Daniel Pacheco & Camanho, Ana S. & Silva, Maria C.A., 2021. "Internal benchmarking to assess the cost efficiency of a broiler production system combining data envelopment analysis and throughput accounting," International Journal of Production Economics, Elsevier, vol. 238(C).
    12. German F. Retana & Chris Forman & D. J. Wu, 2016. "Proactive Customer Education, Customer Retention, and Demand for Technology Support: Evidence from a Field Experiment," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 34-50, February.
    13. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
    14. Entani, Tomoe & Maeda, Yutaka & Tanaka, Hideo, 2002. "Dual models of interval DEA and its extension to interval data," European Journal of Operational Research, Elsevier, vol. 136(1), pages 32-45, January.
    15. Faridah Djellal & Faïz Gallouj, 2013. "The productivity challenge in services: measurement and strategic perspectives," The Service Industries Journal, Taylor & Francis Journals, vol. 33(3-4), pages 282-299, February.
    16. Telles, Eduardo Santos & Lacerda, Daniel Pacheco & Morandi, Maria Isabel Wolf Motta & Piran, Fabio Antonio Sartori, 2020. "Drum-buffer-rope in an engineering-to-order system: An analysis of an aerospace manufacturer using data envelopment analysis (DEA)," International Journal of Production Economics, Elsevier, vol. 222(C).
    17. Joe Zhu, 2014. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Quantitative Models for Performance Evaluation and Benchmarking, edition 3, chapter 1, pages 1-9, Springer.
    18. Gronroos, Christian & Ojasalo, Katri, 2004. "Service productivity: Towards a conceptualization of the transformation of inputs into economic results in services," Journal of Business Research, Elsevier, vol. 57(4), pages 414-423, April.
    19. Sabine Janeschek & Peter Hottum & Florian Kicherer & Bernd Bienzeisler, 2013. "The dynamics of service productivity and value creation: a service life cycle perspective," The Service Industries Journal, Taylor & Francis Journals, vol. 33(3-4), pages 366-377, February.
    20. Chi-Hong (Patrick) Tsai & Corinne Mulley & Rico Merkert, 2015. "Measuring the Cost Efficiency of Urban Rail Systems An International Comparison Using DEA and Tobit Models," Journal of Transport Economics and Policy, University of Bath, vol. 49(1), pages 17-34, January.
    21. Andreas Zolnowski & Martin Semmann & Sharif Amrou & Tilo Böhmann, 2013. "Identifying opportunities for service productivity improvement using a business model lens," The Service Industries Journal, Taylor & Francis Journals, vol. 33(3-4), pages 409-425, February.
    22. A.R. Jayaraman & M.R. Srinivasan, 2019. "Determinants of Indian banks efficiency: a two-stage approach," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 36(2), pages 270-291.
    23. Cook, Wade D. & Tone, Kaoru & Zhu, Joe, 2014. "Data envelopment analysis: Prior to choosing a model," Omega, Elsevier, vol. 44(C), pages 1-4.
    24. Chunguang Quan & Shasha Yu & Xiaojuan Cheng & Feiyue Liu, 2022. "Comprehensive efficiency evaluation of social responsibility of Chinese listed logistics enterprises based on DEA-Malmquist model," Operations Management Research, Springer, vol. 15(3), pages 1383-1398, December.
    25. Omrani, Hashem & Emrouznejad, Ali & Shamsi, Meisam & Fahimi, Pegah, 2022. "Evaluation of insurance companies considering uncertainty: A multi-objective network data envelopment analysis model with negative data and undesirable outputs," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    26. H. Sherman & Joe Zhu, 2006. "Benchmarking with quality-adjusted DEA (Q-DEA) to seek lower-cost high-quality service: Evidence from a U.S.bank application," Annals of Operations Research, Springer, vol. 145(1), pages 301-319, July.
    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. Rafael Teixeira & Renato Przyczynski & Jeff Shockley, 2022. "B2B buyer operational capability for the effective delivery of technology-enabled services in a multi-facility context," Service Business, Springer;Pan-Pacific Business Association, vol. 16(3), pages 645-679, September.
    2. Liu, Jiawen & Gong, Yeming (Yale) & Zhu, Joe & Zhang, Jinlong, 2018. "A DEA-based approach for competitive environment analysis in global operations strategies," International Journal of Production Economics, Elsevier, vol. 203(C), pages 110-123.
    3. Fabio Antonio Sartori Piran & Alaércio De Paris & Daniel Pacheco Lacerda & Luis Felipe Riehs Camargo & Rosiane Serrano & Ricardo Augusto Cassel, 2020. "Overall Equipment Effectiveness: Required but not Enough—An Analysis Integrating Overall Equipment Effect and Data Envelopment Analysis," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(2), pages 191-206, June.
    4. Luria Gil & Gal Iddo & Yagil Dana, 2015. "Spending more time with the customer: service-providers’ behavioral discretion and call-center operations," Service Business, Springer;Pan-Pacific Business Association, vol. 9(3), pages 427-443, September.
    5. Barbosa, Luziane Machado & Lacerda, Daniel Pacheco & Piran, Fabio Antonio Sartori & Dresch, Aline, 2017. "Exploratory analysis of the variables prevailing on the effects of product modularization on production volume and efficiency," International Journal of Production Economics, Elsevier, vol. 193(C), pages 677-690.
    6. Harald Dyckhoff & Rainer Souren, 2023. "Are important phenomena of joint production still being neglected by economic theory? A review of recent literature," Journal of Business Economics, Springer, vol. 93(6), pages 1015-1053, August.
    7. Yang, Guoliang & Ahlgren, Per & Yang, Liying & Rousseau, Ronald & Ding, Jielan, 2016. "Using multi-level frontiers in DEA models to grade countries/territories," Journal of Informetrics, Elsevier, vol. 10(1), pages 238-253.
    8. Moncayo–Martínez, Luis A. & Ramírez–Nafarrate, Adrián & Hernández–Balderrama, María Guadalupe, 2020. "Evaluation of public HEI on teaching, research, and knowledge dissemination by Data Envelopment Analysis," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    9. Visani, Franco & Boccali, Filippo, 2020. "Purchasing price assessment of leverage items: A Data Envelopment Analysis approach," International Journal of Production Economics, Elsevier, vol. 223(C).
    10. Guillaume Roels, 2014. "Optimal Design of Coproductive Services: Interaction and Work Allocation," Manufacturing & Service Operations Management, INFORMS, vol. 16(4), pages 578-594, October.
    11. Telles, Eduardo Santos & Lacerda, Daniel Pacheco & Morandi, Maria Isabel Wolf Motta & Piran, Fabio Antonio Sartori, 2020. "Drum-buffer-rope in an engineering-to-order system: An analysis of an aerospace manufacturer using data envelopment analysis (DEA)," International Journal of Production Economics, Elsevier, vol. 222(C).
    12. Yande Gong & Joe Zhu & Ya Chen & Wade D. Cook, 2018. "DEA as a tool for auditing: application to Chinese manufacturing industry with parallel network structures," Annals of Operations Research, Springer, vol. 263(1), pages 247-269, April.
    13. Silvia Saravia-Matus & T. S. Amjath-Babu & Sreejith Aravindakshan & Stefan Sieber & Jimmy A. Saravia & Sergio Gomez y Paloma, 2021. "Can Enhancing Efficiency Promote the Economic Viability of Smallholder Farmers? A Case of Sierra Leone," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    14. Quintano, Claudio & Mazzocchi, Paolo & Rocca, Antonella, 2021. "Evaluation of the eco-efficiency of territorial districts with seaport economic activities," Utilities Policy, Elsevier, vol. 71(C).
    15. Yash Daultani & Ashish Dwivedi & Saurabh Pratap, 2021. "Benchmarking higher education institutes using data envelopment analysis: capturing perceptions of prospective engineering students," OPSEARCH, Springer;Operational Research Society of India, vol. 58(4), pages 773-789, December.
    16. Khushalani, Jaya & Ozcan, Yasar A., 2017. "Are hospitals producing quality care efficiently? An analysis using Dynamic Network Data Envelopment Analysis (DEA)," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 15-23.
    17. Ying Li & Yung-Ho Chiu & Tai-Yu Lin & Tzu-Han Chang, 2020. "Pre-Evaluating the Technical Efficiency Gains from Potential Mergers and Acquisitions in the IC Design Industry," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 525-559, April.
    18. Daysi Sanmartín-Durango & Maria Alejandra Henao-Bedoya & Yair Tadeo Valencia-Estupiñan & Jairo Humberto Restrepo-Zea, 2019. "Efficiency of health expenditure in the OECD and LAC: a data envelopment analysis," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 91, pages 41-78, Julio - D.
    19. Amar Oukil & Slim Zekri, 2021. "Investigating farming efficiency through a two stage analytical approach: Application to the agricultural sector in Northern Oman," Papers 2104.10943, arXiv.org.
    20. Ed Cook & Jason R. W. Merrick, 2023. "Technology Implementation at Capital One," Interfaces, INFORMS, vol. 53(3), pages 178-191, May.

    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:spr:opmare:v:16:y:2023:i:2:d:10.1007_s12063-022-00333-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.