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Double hedonic price-characteristics frontier estimation for IoT service providers in the industry 5.0 era: A nonconvex perspective accommodating ratios

Author

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  • Kerstens, Kristiaan
  • Azadi, Majid
  • Kazemi Matin, Reza
  • Farzipoor Saen, Reza

Abstract

The advent of advanced digital technologies, including the Internet of Things (IoT), image processing, artificial intelligence (AI), blockchain, robotics and cognitive computing that have been embedded in Industry 5.0, is considerably improving the sustainability, resilience, and human-centric performance of industrial organizations. Despite the increasing use of Industry 5.0 technologies in smart product platforming in industrial organizations, a critical issue remains how to assess the providers/suppliers of such technologies in highly competitive markets to fulfil personalized products and services. Following Lancaster's characteristics approach to consumer theory, in this study we contribute to assess digital technologies service providers in the Industry 5.0 era by focusing on both theoretical and empirical evidence inquiring about the convexity of conventional nonparametric frontier estimation methods. To do so, a nonparametric double frontier estimation of the hedonic price characteristics relation is developed from both the buyer's and seller's perspectives. Moreover, a separable directional distance function-based optimization model is developed for the efficiency estimation. Furthermore, a comparable estimation of the convex and nonconvex hedonic price function is proposed. We also explicitly test the impact of convexity in evaluating the efficiency of IoT service providers in the Industry 5.0 context. In this study, we also show that the hypothesis of convexity in assessing the efficiency of IoT service providers is rejected using the Li-test comparing entire densities in the case of the seller's perspective without ratio data. Differences are less pronounced for the buyer's perspective and in the case with ratio data.

Suggested Citation

  • Kerstens, Kristiaan & Azadi, Majid & Kazemi Matin, Reza & Farzipoor Saen, Reza, 2024. "Double hedonic price-characteristics frontier estimation for IoT service providers in the industry 5.0 era: A nonconvex perspective accommodating ratios," European Journal of Operational Research, Elsevier, vol. 319(1), pages 222-233.
    • Handle: RePEc:eee:ejores:v:319:y:2024:i:1:p:222-233
    DOI: 10.1016/j.ejor.2024.05.047
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    as
    1. Podinovski, V. V., 2005. "Selective convexity in DEA models," European Journal of Operational Research, Elsevier, vol. 161(2), pages 552-563, March.
    2. Ben Lakhdar, Christian & Leleu, Hervé & Vaillant, Nicolas Gérard & Wolff, François-Charles, 2013. "Efficiency of purchasing and selling agents in markets with quality uncertainty: The case of illicit drug transactions," European Journal of Operational Research, Elsevier, vol. 226(3), pages 646-657.
    3. Luenberger, David G., 1992. "Benefit functions and duality," Journal of Mathematical Economics, Elsevier, vol. 21(5), pages 461-481.
    4. Kelvin Lancaster, 1990. "The Economics of Product Variety: A Survey," Marketing Science, INFORMS, vol. 9(3), pages 189-206.
    5. Smith, V Kerry & Palmquist, Raymond B & Jakus, Paul, 1991. "Combining Farrell Frontier and Hedonic Travel Cost Models for Valuing Estuarine Quality," The Review of Economics and Statistics, MIT Press, vol. 73(4), pages 694-699, November.
    6. Ivar Ekeland & James J. Heckman & Lars Nesheim, 2004. "Identification and Estimation of Hedonic Models," Journal of Political Economy, University of Chicago Press, vol. 112(S1), pages 60-109, February.
    7. Jeong-Dong Lee & Chansoo Park & Dong-Hyun Oh & Tai-Yoo Kim, 2008. "Measuring consumption efficiency with utility theory and stochastic frontier analysis," Applied Economics, Taylor & Francis Journals, vol. 40(22), pages 2961-2968.
    8. James J. Heckman & Rosa L. Matzkin & Lars Nesheim, 2010. "Nonparametric Identification and Estimation of Nonadditive Hedonic Models," Econometrica, Econometric Society, vol. 78(5), pages 1569-1591, September.
    9. Marcos Lins & Luiz Novaes & Luiz Legey, 2005. "Real Estate Appraisal: A Double Perspective Data Envelopment Analysis Approach," Annals of Operations Research, Springer, vol. 138(1), pages 79-96, September.
    10. Ruben Chumpitaz & Kristiaan Kerstens & Nicholas Paparoidamis & Matthias Staat, 2010. "Hedonic price function estimation in economics and marketing: revisiting Lancaster’s issue of “noncombinable” goods," Annals of Operations Research, Springer, vol. 173(1), pages 145-161, January.
    11. Tan, Weng Chun & Sidhu, Manjit Singh, 2022. "Review of RFID and IoT integration in supply chain management," Operations Research Perspectives, Elsevier, vol. 9(C).
    12. Ricci, Riccardo & Battaglia, Daniele & Neirotti, Paolo, 2021. "External knowledge search, opportunity recognition and industry 4.0 adoption in SMEs," International Journal of Production Economics, Elsevier, vol. 240(C).
    13. François-Charles Wolff, 2016. "Bargaining powers of buyers and sellers on the online diamond market: a double perspective non-parametric analysis," Annals of Operations Research, Springer, vol. 244(2), pages 697-718, September.
    14. Kamar Zekhnini & Anass Cherrafi & Imane Bouhaddou & Abla Chaouni Benabdellah & Surajit Bag, 2022. "A model integrating lean and green practices for viable, sustainable, and digital supply chain performance," International Journal of Production Research, Taylor & Francis Journals, vol. 60(21), pages 6529-6555, November.
    15. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, June.
    16. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    17. Nguyen, Tiep & Duong, Quang Huy & Nguyen, Truong Van & Zhu, You & Zhou, Li, 2022. "Knowledge mapping of digital twin and physical internet in Supply Chain Management: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 244(C).
    18. Briec, Walter & Dumas, Audrey & Kerstens, Kristiaan & Stenger, Agathe, 2022. "Generalised commensurability properties of efficiency measures: Implications for productivity indicators," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1481-1492.
    19. Doyle, JR & Green, RH, 1991. "Comparing products using data envelopment analysis," Omega, Elsevier, vol. 19(6), pages 631-638.
    20. Olesen, Ole Bent & Petersen, Niels Christian & Podinovski, Victor V., 2015. "Efficiency analysis with ratio measures," European Journal of Operational Research, Elsevier, vol. 245(2), pages 446-462.
    21. Sun, Jing & Yamamoto, Hisashi & Matsui, Masayuki, 2020. "Horizontal integration management: An optimal switching model for parallel production system with multiple periods in smart supply chain environment," International Journal of Production Economics, Elsevier, vol. 221(C).
    22. Dalenogare, Lucas Santos & Benitez, Guilherme Brittes & Ayala, Néstor Fabián & Frank, Alejandro Germán, 2018. "The expected contribution of Industry 4.0 technologies for industrial performance," International Journal of Production Economics, Elsevier, vol. 204(C), pages 383-394.
    23. Papaioannou, Grammatoula & Podinovski, Victor V., 2023. "Production technologies with ratio inputs and outputs," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1164-1178.
    24. Miguel Núñez-Merino & Juan Manuel Maqueira-Marín & José Moyano-Fuentes & Pedro José Martínez-Jurado, 2020. "Information and digital technologies of Industry 4.0 and Lean supply chain management: a systematic literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 58(16), pages 5034-5061, July.
    25. Li, Qi & Maasoumi, Esfandiar & Racine, Jeffrey S., 2009. "A nonparametric test for equality of distributions with mixed categorical and continuous data," Journal of Econometrics, Elsevier, vol. 148(2), pages 186-200, February.
    26. Olesen, Ole Bent & Petersen, Niels Christian & Podinovski, Victor V., 2017. "Efficiency measures and computational approaches for data envelopment analysis models with ratio inputs and outputs," European Journal of Operational Research, Elsevier, vol. 261(2), pages 640-655.
    27. Podinovski, Victor V. & Wu, Junlin & Argyris, Nikolaos, 2024. "Production trade-offs in models of data envelopment analysis with ratio inputs and outputs: An application to schools in England," European Journal of Operational Research, Elsevier, vol. 313(1), pages 359-372.
    28. Peter Ralston & Jennifer Blackhurst, 2020. "Industry 4.0 and resilience in the supply chain: a driver of capability enhancement or capability loss?," International Journal of Production Research, Taylor & Francis Journals, vol. 58(16), pages 5006-5019, July.
    29. Tortorella, Guilherme Luz & Fogliatto, Flavio S. & Cauchick-Miguel, Paulo A. & Kurnia, Sherah & Jurburg, Daniel, 2021. "Integration of Industry 4.0 technologies into Total Productive Maintenance practices," International Journal of Production Economics, Elsevier, vol. 240(C).
    30. Frank, Alejandro Germán & Dalenogare, Lucas Santos & Ayala, Néstor Fabián, 2019. "Industry 4.0 technologies: Implementation patterns in manufacturing companies," International Journal of Production Economics, Elsevier, vol. 210(C), pages 15-26.
    31. Jeong-Dong Lee & Seogwon Hwang & Tai-Yoo Kim, 2005. "The Measurement of Consumption Efficiency Considering the Discrete Choice of Consumers," Journal of Productivity Analysis, Springer, vol. 23(1), pages 65-83, January.
    32. Mastrocinque, Ernesto & Ramírez, F. Javier & Honrubia-Escribano, Andrés & Pham, Duc T., 2022. "Industry 4.0 enabling sustainable supply chain development in the renewable energy sector: A multi-criteria intelligent approach," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    33. Polachek, Solomon W & Yoon, Bong Joon, 1987. "A Two-tiered Earnings Frontier Estimation of Employer and Employee Information in the Labor Market," The Review of Economics and Statistics, MIT Press, vol. 69(2), pages 296-302, May.
    34. Pankaj Dutta & Bharath Jaikumar & Manpreet Singh Arora, 2022. "Applications of data envelopment analysis in supplier selection between 2000 and 2020: a literature review," Annals of Operations Research, Springer, vol. 315(2), pages 1399-1454, August.
    35. Belhadi, Amine & Kamble, Sachin S. & Chiappetta Jabbour, Charbel Jose & Mani, Venkatesh & Khan, Syed Abdul Rehman & Touriki, Fatima Ezahra, 2022. "A self-assessment tool for evaluating the integration of circular economy and industry 4.0 principles in closed-loop supply chains," International Journal of Production Economics, Elsevier, vol. 245(C).
    36. Asif, Muhammad & Searcy, Cory & Castka, Pavel, 2023. "ESG and Industry 5.0: The role of technologies in enhancing ESG disclosure," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    37. Polachek, Solomon W. & Robst, John, 1998. "Employee labor market information: comparing direct world of work measures of workers' knowledge to stochastic frontier estimates," Labour Economics, Elsevier, vol. 5(2), pages 231-242, June.
    38. Zhang, Linda L., 2015. "A literature review on multitype platforming and framework for future research," International Journal of Production Economics, Elsevier, vol. 168(C), pages 1-12.
    39. Sunil Luthra & Anil Kumar & Edmundas Kazimieras Zavadskas & Sachin Kumar Mangla & Jose Arturo Garza-Reyes, 2020. "Industry 4.0 as an enabler of sustainability diffusion in supply chain: an analysis of influential strength of drivers in an emerging economy," International Journal of Production Research, Taylor & Francis Journals, vol. 58(5), pages 1505-1521, March.
    40. Michel Mouchart & Marie Vandresse, 2007. "Bargaining powers and market segmentation in freight transport," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(7), pages 1295-1313.
    41. Gimenez, Cristina & Sierra, Vicenta & Rodon, Juan, 2012. "Sustainable operations: Their impact on the triple bottom line," International Journal of Production Economics, Elsevier, vol. 140(1), pages 149-159.
    42. Angel S. Fernandez-Castro & Peter C. Smith, 2002. "Lancaster's characteristics approach revisited: product selection using non-parametric methods," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 23(2), pages 83-91.
    43. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    44. Mohamed Ben-Daya & Elkafi Hassini & Zied Bahroun, 2019. "Internet of things and supply chain management: a literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 4719-4742, August.
    45. repec:dau:papers:123456789/6486 is not listed on IDEAS
    46. Fare, Rolf & Grosskopf, Shawna, 1995. "Nonparametric tests of regularity, Farrell efficiency, and goodness-of-fit," Journal of Econometrics, Elsevier, vol. 69(2), pages 415-425, October.
    47. Michael Greenstone, 2017. "The Continuing Impact of Sherwin Rosen’s “Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition”," Journal of Political Economy, University of Chicago Press, vol. 125(6), pages 1891-1902.
    48. Kamble, Sachin S. & Gunasekaran, Angappa & Gawankar, Shradha A., 2020. "Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications," International Journal of Production Economics, Elsevier, vol. 219(C), pages 179-194.
    49. Murty, Sushama & Robert Russell, R. & Levkoff, Steven B., 2012. "On modeling pollution-generating technologies," Journal of Environmental Economics and Management, Elsevier, vol. 64(1), pages 117-135.
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