IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i13p5290-d378523.html
   My bibliography  Save this article

Industry Performance Appraisal Using Improved MCDM for Next Generation of Taiwan

Author

Listed:
  • Zon-Yau Lee

    (Department of International Business, Kainan University, No. 1 Kainan Road, Luzhu District, Taoyuan City 33857, Taiwan)

  • Mei-Tai Chu

    (Department of Accounting and Data Analytics, La Trobe University, Melbourne, VIC 3086, Australia)

  • Yu-Ting Wang

    (Department of Business Administration, National Central University, No. 300, Zhongda Rd., Zhongli District, Taoyuan City 32001, Taiwan)

  • Kuan-Ju Chen

    (Department of Business Administration, National Chengchi University, No. 64, Sec. 2, Zhinan Rd., Wenshan District, Taipei City 11605, Taiwan)

Abstract

It is critical for manufacturing sectors to improve maximum performance to foster a competitive advantage. This article aims to analyze how the manufacturing industry can promote its performance to achieve sustainable development. We embark performance evaluation on Taiwanese manufacturing sectors which have profound implications in the global manufacturing supply chain. This study collected public information and reliable data from the Industrial Technology Research Institute (ITRI) covering 12 Taiwanese manufacturing industries. Performance evaluation indicators consist of four inputs chosen from a set of six items, whereas one output is from a set of three items. The analysis from Data Envelopment Analysis (DEA) is conducted including CCR (Charnes, Cooper, & Rhodes) efficiency, BCC (Banker et al.) efficiency, A&P(Andersen and Petersen) efficiency, cross-efficiency and D&G(Doyle and Green) efficiency plus the VIKOR prioritization method to evaluate the 12 manufacturing industries in Taiwan. The comprehensive analysis and comparison results of this study show the sophisticated outcomes through the analysis of DEA and VIKOR. In another objective evaluation, the efficiency of DEA proves a certain correlation between the model and the measurement of the VIKOR method. The results indicate that Taiwan’s manufacturing industry is moving towards design innovation thinking towards the high value of its own brand, whereas the industries in China and South East Asia appear different. The results can provide the best practice to allow the international manufacturing industry to enjoy a resurgence after falling output and diminishing labor force.

Suggested Citation

  • Zon-Yau Lee & Mei-Tai Chu & Yu-Ting Wang & Kuan-Ju Chen, 2020. "Industry Performance Appraisal Using Improved MCDM for Next Generation of Taiwan," Sustainability, MDPI, vol. 12(13), pages 1-18, June.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:13:p:5290-:d:378523
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/13/5290/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/13/5290/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kao, Chiang & Liu, Shiang-Tai, 2014. "Measuring performance improvement of Taiwanese commercial banks under uncertainty," European Journal of Operational Research, Elsevier, vol. 235(3), pages 755-764.
    2. Zon-Yau Lee & Mei-Tai Chu & Shiuann-Shuoh Chen & Chih-Hung Tsai, 2018. "Identifying Comprehensive Key Criteria of Sustainable Development for Traditional Manufacturing in Taiwan," Sustainability, MDPI, vol. 10(9), pages 1-19, September.
    3. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2007. "Extended VIKOR method in comparison with outranking methods," European Journal of Operational Research, Elsevier, vol. 178(2), pages 514-529, April.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Hung, Shiu-Wan & Lu, Wen-Min & Wang, Tung-Pao, 2010. "Benchmarking the operating efficiency of Asia container ports," European Journal of Operational Research, Elsevier, vol. 203(3), pages 706-713, June.
    6. Patricia A. Nold Hughes & Mary E. Edwards, 2000. "Leviathan vs. Lilliputian: A Data Envelopment Analysis of Government Efficiency," Journal of Regional Science, Wiley Blackwell, vol. 40(4), pages 649-669, November.
    7. Hsueh, Chao-Chih & Chen, Dar-Zen, 2015. "A taxonomy of patent strategies in Taiwan's small and medium innovative enterprises," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 84-98.
    8. Paitoon Wiboonchutikula & Chayanon Phucharoen & Nuchit Pruektanakul, 2016. "Spillover Effects Of Foreign Direct Investment On Domestic Manufacturing Firms In Thailand," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(02), pages 1-32, June.
    9. Yu-Sheng Kao & Kazumitsu Nawata & Chi-Yo Huang, 2019. "Systemic Functions Evaluation based Technological Innovation System for the Sustainability of IoT in the Manufacturing Industry," Sustainability, MDPI, vol. 11(8), pages 1-34, April.
    10. Timo Kuosmanen & Mika Kortelainen, 2005. "Measuring Eco‐efficiency of Production with Data Envelopment Analysis," Journal of Industrial Ecology, Yale University, vol. 9(4), pages 59-72, October.
    11. Wu, Desheng Dash & Zhang, Yidong & Wu, Dexiang & Olson, David L., 2010. "Fuzzy multi-objective programming for supplier selection and risk modeling: A possibility approach," European Journal of Operational Research, Elsevier, vol. 200(3), pages 774-787, February.
    12. Afsharian, Mohsen & Ahn, Heinz & Thanassoulis, Emmanuel, 2017. "A DEA-based incentives system for centrally managed multi-unit organisations," European Journal of Operational Research, Elsevier, vol. 259(2), pages 587-598.
    13. John Ruggiero, 2007. "Measuring the Cost of Meeting Minimum Educational Standards: An Application of Data Envelopment Analysis," Education Economics, Taylor & Francis Journals, vol. 15(1), pages 1-13.
    14. Johnson, Julius H. & Arya, Bindu & Mirchandani, Dinesh A., 2013. "Global integration strategies of small and medium multinationals: Evidence from Taiwan," Journal of World Business, Elsevier, vol. 48(1), pages 47-57.
    15. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    16. Chen, Yi-Min, 2010. "The continuing debate on firm performance: A multilevel approach to the IT sectors of Taiwan and South Korea," Journal of Business Research, Elsevier, vol. 63(5), pages 471-478, May.
    17. Chen, Shieh-Liang & Liang, Hao-An, 2014. "Cause mapping of simple and complex marketing strategies," Journal of Business Research, Elsevier, vol. 67(1), pages 2867-2876.
    18. Akber Aman Shah & Desheng Wu & Vladmir Korotkov, 2019. "Are Sustainable Banks Efficient and Productive? A Data Envelopment Analysis and the Malmquist Productivity Index Analysis," Sustainability, MDPI, vol. 11(8), pages 1-19, April.
    19. Lii, Peirchyi & Kuo, Fang-I, 2016. "Innovation-oriented supply chain integration for combined competitiveness and firm performance," International Journal of Production Economics, Elsevier, vol. 174(C), pages 142-155.
    20. Genzhu Li & Xianliang Shi & Yefei Yang & Peter K. C. Lee, 2020. "Green Co-Creation Strategies among Supply Chain Partners: A Value Co-Creation Perspective," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
    21. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    22. Nguyen, Huu Le & Larimo, Jorma & Wang, Yi, 2019. "Control, innovation and international joint venture performance: The moderating role of internal and external environments," International Business Review, Elsevier, vol. 28(6), pages 1-1.
    23. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    24. Neus Sanjuan & Javier Ribal & Gabriela Clemente & Ma Loreto Fenollosa, 2011. "Measuring and Improving Eco‐efficiency Using Data Envelopment Analysis," Journal of Industrial Ecology, Yale University, vol. 15(4), pages 614-628, August.
    25. Zon-Yau Lee & Chung-Che Pai, 2015. "Applying Improved DEA & VIKOR Methods to Evaluate the Operation Performance for World's Major TFT–LCD Manufacturers," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 32(03), pages 1-33.
    26. Miranda, Rafael de Carvalho & Montevechi, José Arnaldo Barra & da Silva, Aneirson Francisco & Marins, Fernando Augusto Silva, 2017. "Increasing the efficiency in integer simulation optimization: Reducing the search space through data envelopment analysis and orthogonal arrays," European Journal of Operational Research, Elsevier, vol. 262(2), pages 673-681.
    27. Lin, Wen-Ting, 2016. "FDI decisions and business-group insider control: Evidence from Taiwanese group-affiliated firms investing in the Chinese market," Journal of World Business, Elsevier, vol. 51(4), pages 525-533.
    28. Delian Feng & Qun Chen & Malin Song & Lianbiao Cui, 2019. "Relationship Between the Degree of Internationalization and Performance in Manufacturing Enterprises of the Yangtze River Delta Region," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(7), pages 1455-1471, May.
    29. Chen, Yi-Min & Su, Yi-Fan & Lin, Feng-Jyh, 2011. "Country-of-origin effects and antecedents of industrial brand equity," Journal of Business Research, Elsevier, vol. 64(11), pages 1234-1238.
    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. Yu-Jwo Tao & Hsuan-Shih Lee & Chang-Shu Tu, 2021. "Analytic Hierarchy Process-Based Airport Ground Handling Equipment Purchase Decision Model," Sustainability, MDPI, vol. 13(5), pages 1-16, February.
    2. Henrique Faverzani Drago & Gilnei Luiz Moura & Luciana Santos Costa Vieira Silva & Claudimar Pereira Veiga & Fabíola Kaczam & Luciana Peixoto Santa Rita & Wesley Vieira Silva, 2023. "Reviewing the relationship between organizational performance, dynamic capabilities and strategic behavior," SN Business & Economics, Springer, vol. 3(1), pages 1-22, January.
    3. Han-Wen Tuan & Kuo-Chen Hung & Gino K. Yang, 2021. "Inventory Model with Fixed Shelf Life under Generalized Non-Increasing Demand," Mathematics, MDPI, vol. 9(21), pages 1-15, October.
    4. Manuel Sousa & Maria Fatima Almeida & Rodrigo Calili, 2021. "Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda," Sustainability, MDPI, vol. 13(8), pages 1-37, April.

    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. Chiu, Yung-ho & Huang, Chin-wei & Ma, Chun-Mei, 2011. "Assessment of China transit and economic efficiencies in a modified value-chains DEA model," European Journal of Operational Research, Elsevier, vol. 209(2), pages 95-103, March.
    2. Lucio Cecchini & Francesco Romagnoli & Massimo Chiorri & Biancamaria Torquati, 2023. "Eco-Efficiency and Its Determinants: The Case of the Italian Beef Cattle Sector," Agriculture, MDPI, vol. 13(5), pages 1-18, May.
    3. Matthias Staessens & Pieter Jan Kerstens & Johan Bruneel & Laurens Cherchye, 2019. "Data Envelopment Analysis and Social Enterprises: Analysing Performance, Strategic Orientation and Mission Drift," Journal of Business Ethics, Springer, vol. 159(2), pages 325-341, October.
    4. Halkos, George & Petrou, Kleoniki Natalia, 2018. "Assessment of national waste generation in EU Member States’ efficiency," MPRA Paper 84590, University Library of Munich, Germany.
    5. Afsharian, Mohsen & Ahn, Heinz & Harms, Sören Guntram, 2021. "A review of DEA approaches applying a common set of weights: The perspective of centralized management," European Journal of Operational Research, Elsevier, vol. 294(1), pages 3-15.
    6. Mehdi Soltanifar & Hamid Sharafi, 2022. "A modified DEA cross efficiency method with negative data and its application in supplier selection," Journal of Combinatorial Optimization, Springer, vol. 43(1), pages 265-296, January.
    7. Maria Julia Xavier Belem & Milton Vieira Junior & Giovanni Mummolo & Francesco Facchini, 2021. "An AHP-Based Procedure for Model Selection for Eco-Efficiency Assessment," Sustainability, MDPI, vol. 13(21), pages 1-21, November.
    8. Suhyeon Han & Shinyoung Park & Sejin An & Wonjun Choi & Mina Lee, 2023. "Research on Analyzing the Efficiency of R&D Projects for Climate Change Response Using DEA–Malmquist," Sustainability, MDPI, vol. 15(10), pages 1-23, May.
    9. Zanella, Andreia & Camanho, Ana S. & Dias, Teresa G., 2015. "Undesirable outputs and weighting schemes in composite indicators based on data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 245(2), pages 517-530.
    10. Peter Fernandes Wanke & Rebecca de Mattos, 2014. "Capacity Issues and Efficiency Drivers in Brazilian Bulk Terminals," Brazilian Business Review, Fucape Business School, vol. 11(5), pages 72-98, October.
    11. Chi-Yo Huang & Min-Jen Yang & Jeen-Fong Li & Hueiling Chen, 2021. "A DANP-Based NDEA-MOP Approach to Evaluating the Patent Commercialization Performance of Industry–Academic Collaborations," Mathematics, MDPI, vol. 9(18), pages 1-26, September.
    12. Alberca-Oliver, Pilar & Rodríguez-Oromendía, Ainhoa & Parte-Esteban, Laura, 2015. "Measuring the efficiency of trade shows: A Spanish case study," Tourism Management, Elsevier, vol. 47(C), pages 127-137.
    13. Alessandra Cepparulo & Gilles Mourre, 2020. "How and How Much? The Growth-Friendliness of Public Spending through the Lens," European Economy - Discussion Papers 132, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    14. Peyrache, Antonio & Rose, Christiern & Sicilia, Gabriela, 2020. "Variable selection in Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 282(2), pages 644-659.
    15. Trinks, Arjan & Mulder, Machiel & Scholtens, Bert, 2020. "An Efficiency Perspective on Carbon Emissions and Financial Performance," Ecological Economics, Elsevier, vol. 175(C).
    16. Ti-An Chen, 2022. "Business Performance Evaluation for Tourism Factory: Using DEA Approach and Delphi Method," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
    17. Tumaniants, Karen A. (Туманянц, Карэн) & Sesina, Julia E. (Сесина, Юлия), 2017. "Social Expenditures of Russian Regions in Terms of “Input-Output” [Расходы На Социальную Политику Российских Регионов В Координатах «Затраты — Результат»]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 128-149, October.
    18. Kuosmanen, Timo & Kortelainen, Mika, 2007. "Valuing environmental factors in cost-benefit analysis using data envelopment analysis," Ecological Economics, Elsevier, vol. 62(1), pages 56-65, April.
    19. Wijesiri, Mahinda & Yaron, Jacob & Meoli, Michele, 2017. "Assessing the financial and outreach efficiency of microfinance institutions: Do age and size matter?," Journal of Multinational Financial Management, Elsevier, vol. 40(C), pages 63-76.
    20. George Halkos & George Papageorgiou, 2016. "Spatial environmental efficiency indicators in regional waste generation: a nonparametric approach," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 59(1), pages 62-78, January.

    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:gam:jsusta:v:12:y:2020:i:13:p:5290-:d:378523. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.