IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i10p4145-d360202.html
   My bibliography  Save this article

Evaluation of Process Orientation Dimensions in the Apparel Industry

Author

Listed:
  • Andrea Dobrosavljević

    (Technical Faculty in Bor, University of Belgrade, Vojske Jugoslavije 12, 19210 Bor, Serbia)

  • Snežana Urošević

    (Technical Faculty in Bor, University of Belgrade, Vojske Jugoslavije 12, 19210 Bor, Serbia)

  • Milovan Vuković

    (Technical Faculty in Bor, University of Belgrade, Vojske Jugoslavije 12, 19210 Bor, Serbia)

  • Miroslav Talijan

    (Military Academy, University of Defence, Pavla Jurišića Šturma 33, 11000 Belgrade, Serbia)

  • Dragan Marinković

    (Faculty of Mechanical Engineering and Traffic Systems, TU Berlin, Str. d. 17. Juni 135, 10623 Berlin, Germany)

Abstract

The dimensions that influence the establishment of business process management (BPM) practices and the progression to higher levels of process maturity derive from exploring the dimensions of process orientation of organizations. Small and medium-sized clothing enterprises (SME’s) are characterized by various specifics that can affect the degree of process orientation adoption and the pace of transition from lower to higher levels of process maturity. According to these specifics, the acceptance of the process approach may be differently affected. For the purpose of adequate evaluation and prioritization of the most influential dimensions, a new integrated multicriteria decision-making (MCDM) model that combines classical and fuzzy theory was developed. First, the full consistency method (FUCOM) method was applied, followed by the fuzzy pivot pairwise relative criteria importance assessment (fuzzy PIPRECIA) method to obtain more accurate criteria values. Prioritization of the most influential BPM dimension contributes to highlighting the area of business that needs to be primarily strengthened by appropriate actions for successful establishment of BPM in apparel industry SMEs. Within this research, the prioritized dimension refers to human resource management in accordance with the specific aspects of business within the apparel industry.

Suggested Citation

  • Andrea Dobrosavljević & Snežana Urošević & Milovan Vuković & Miroslav Talijan & Dragan Marinković, 2020. "Evaluation of Process Orientation Dimensions in the Apparel Industry," Sustainability, MDPI, vol. 12(10), pages 1-19, May.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:10:p:4145-:d:360202
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/10/4145/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/10/4145/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Elbashir, Mohamed Z. & Collier, Philip A. & Davern, Michael J., 2008. "Measuring the effects of business intelligence systems: The relationship between business process and organizational performance," International Journal of Accounting Information Systems, Elsevier, vol. 9(3), pages 135-153.
    2. Bair, Jennifer & Gereffi, Gary, 2001. "Local Clusters in Global Chains: The Causes and Consequences of Export Dynamism in Torreon's Blue Jeans Industry," World Development, Elsevier, vol. 29(11), pages 1885-1903, November.
    3. Moniz, António & Paulos, Margarida Ramires, 2008. "The globalisation in the clothing sector and its implications for work organisation: a view from the Portuguese case," MPRA Paper 10165, University Library of Munich, Germany.
    4. Theresa Schmiedel & Jan Brocke & Jan Recker, 2015. "Culture in Business Process Management: How Cultural Values Determine BPM Success," International Handbooks on Information Systems, in: Jan vom Brocke & Michael Rosemann (ed.), Handbook on Business Process Management 2, edition 2, pages 649-663, Springer.
    5. Skerlavaj, Miha & Stemberger, Mojca Indihar & Skrinjar, Rok & Dimovski, Vlado, 2007. "Organizational learning culture--the missing link between business process change and organizational performance," International Journal of Production Economics, Elsevier, vol. 106(2), pages 346-367, April.
    6. De Toni, Alberto & Meneghetti, Antonella, 2000. "The production planning process for a network of firms in the textile-apparel industry," International Journal of Production Economics, Elsevier, vol. 65(1), pages 17-32, April.
    7. Dragisa STANUJKIC & Edmundas Kazimieras ZAVADSKAS & Darjan KARABASEVIC & Florentin SMARANDACHE & Zenonas TURSKIS, 2017. "The Use Of The Pivot Pairwise Relative Criteria Importance Assessment Method For Determining The Weights Of Criteria," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 116-133, December.
    8. Gheorghe MATEI, 2011. "SOA and BPM, a Partnership for Successful Organizations," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 15(4), pages 39-54.
    9. Lee, Hsing-Chen & Chang, Ching-Ter, 2018. "Comparative analysis of MCDM methods for ranking renewable energy sources in Taiwan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 883-896.
    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. Ocampo, Lanndon & Aro, Joerabell Lourdes & Evangelista, Samantha Shane & Maturan, Fatima & Atibing, Nadine May & Yamagishi, Kafferine & Selerio, Egberto, 2023. "Synthesis of strategies in post-COVID-19 public sector supply chains under an intuitionistic fuzzy environment," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).

    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. Chris van Egeraat and Frank Barry, 2008. "The Irish Pharmaceutical Industry over the Boom Period and Beyond," The Institute for International Integration Studies Discussion Paper Series iiisdp271, IIIS.
    2. Stefano Micelli, 2012. "The metropolitan area of Venice in the changing economy of the North East," Chapters, in: Peter Karl Kresl & Daniele Ietri (ed.), European Cities and Global Competitiveness, chapter 8, pages 130-150, Edward Elgar Publishing.
    3. Mahmut BAKIR & Şahap AKAN & Kasım KIRACI & Darjan KARABASEVIC & Dragisa STANUJKIC & Gabrijela POPOVIC, 2020. "Multiple-Criteria Approach of the Operational Performance Evaluation in the Airline Industry: Evidence from the Emerging Markets," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 149-172, July.
    4. Stephanie BARRIENTOS & Gary GEREFFI & Arianna ROSSI, 2011. "Economic and social upgrading in global production networks: A new paradigm for a changing world," International Labour Review, International Labour Organization, vol. 150(3-4), pages 319-340, December.
    5. Matanda, Margaret Jekanyika & Freeman, Susan, 2009. "Effect of perceived environmental uncertainty on exporter-importer inter-organisational relationships and export performance improvement," International Business Review, Elsevier, vol. 18(1), pages 89-107, February.
    6. Emanuele Bacchiocchi & Massimo Florio & Anna Giunta, 2012. "Internationalisation and the agglomeration effect in the global value chain: the case of Italian automotive suppliers," International Journal of Technological Learning, Innovation and Development, Inderscience Enterprises Ltd, vol. 5(3), pages 267-290.
    7. Dagmara Nikulin & Joanna Wolszczak-Derlacz & Aleksandra Parteka, 2022. "Working Conditions in Global Value Chains: Evidence for European Employees," Work, Employment & Society, British Sociological Association, vol. 36(4), pages 701-721, August.
    8. Nock, Destenie & Baker, Erin, 2019. "Holistic multi-criteria decision analysis evaluation of sustainable electric generation portfolios: New England case study," Applied Energy, Elsevier, vol. 242(C), pages 655-673.
    9. Sargent, John & Matthews, Linda, 2004. "What Happens When Relative Costs Increase in Export Processing Zones? Technology, Regional Production Networks, and Mexico's Maquiladoras," World Development, Elsevier, vol. 32(12), pages 2015-2030, December.
    10. Zaibunnisa Siddiqi & Shahzad Nasim & Muhammad Raza & Syed Asad Abbas Rizvi & Nazia Abdul Rehman, 2024. "Does Transformational Leadership Matter for Employee Performance?," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(1), pages 501-488.
    11. Riisgaard, Lone, 2009. "Global Value Chains, Labor Organization and Private Social Standards: Lessons from East African Cut Flower Industries," World Development, Elsevier, vol. 37(2), pages 326-340, February.
    12. Alev Ozer Torgaloz & Mehmet Fatih Acar & Cemil Kuzey, 2023. "The effects of organizational learning culture and decentralization upon supply chain collaboration: analysis of covid-19 period," Operations Management Research, Springer, vol. 16(1), pages 511-530, March.
    13. Anna Giunta & Domenico Scalera & Francesco Trivieri & Jeffrey B. Nugent & Mariarosaria Agostino, 2011. "Firm Productivity, Organizational Choice and Global Value Chain," Working Papers 2011R09, Orkestra - Basque Institute of Competitiveness.
    14. Elisa Giuliani, 2016. "Human Rights and Corporate Social Responsibility in Developing Countries’ Industrial Clusters," Journal of Business Ethics, Springer, vol. 133(1), pages 39-54, January.
    15. Zabaleta, Mercedes Elena Martínez & Luna, Raúl Enrique Rodríguez, 2023. "Inteligencia empresarial y su rol en la generación de valor en los procesos de negocios," Revista Tendencias, Universidad de Narino, vol. 24(1), pages 226-251, January.
    16. Peters, Matt D. & Wieder, Bernhard & Sutton, Steve G. & Wakefield, James, 2016. "Business intelligence systems use in performance measurement capabilities: Implications for enhanced competitive advantage," International Journal of Accounting Information Systems, Elsevier, vol. 21(C), pages 1-17.
    17. Rikhardsson, Pall & Yigitbasioglu, Ogan, 2018. "Business intelligence & analytics in management accounting research: Status and future focus," International Journal of Accounting Information Systems, Elsevier, vol. 29(C), pages 37-58.
    18. Thomassey, Sebastien & Happiette, Michel & Castelain, Jean Marie, 2005. "A short and mean-term automatic forecasting system--application to textile logistics," European Journal of Operational Research, Elsevier, vol. 161(1), pages 275-284, February.
    19. Abdul, Daud & Wenqi, Jiang & Tanveer, Arsalan, 2022. "Prioritization of renewable energy source for electricity generation through AHP-VIKOR integrated methodology," Renewable Energy, Elsevier, vol. 184(C), pages 1018-1032.
    20. Samstad, James G. & Pipkin, Seth, 2005. "Bringing the firm back in: local decision making and human capital development in Mexico's maquiladora sector," World Development, Elsevier, vol. 33(5), pages 805-822, 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:gam:jsusta:v:12:y:2020:i:10:p:4145-:d:360202. 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.