Sustainable performance assessment: A systematic literature review

• Autorzy: Farchi Chayma , Touzi Badr , Farchi Fadwa , Mousrij Ahmed

Identyfikatory

DOI

10.14254/jsdtl.2021.6-2.8

• Języki publikacji: EN

Abstrakty

EN

Current development trends are driving ubiquitous sustainability requirements, pushing organizations to achieve new sustainability goals and targets. To this effect, continuous and continual performance measurements are the key to any business-related success. Therefore, the sustainable performance of an organization can be defined as the performance that takes a long time to achieve its goals. The outcome is a well-balanced balance of context, strategy, management processes, resources, and intangibles especially since it is closely related to the notion of sustainable development (TBL). The goal of this paper is two-fold. Firstly, a systematic literature review is conducted to highlight the importance and the need to assess the three pillars of sustainability and, finally, to encircle the sustainability concept by identifying the most used techniques and approaches in its evaluation. This paper can be considered as basic support for future studies in the application of sustainable performance measurement/assessment systems.

Słowa kluczowe

EN

sustainability assessment; sustainable performance; PMS; sustainable performance measurement; triple bottom line

• Wydawca: Fundacja Centrum Badań Socjologicznych ; Scientific Publishing House "SciView"
• Czasopismo: Journal of Sustainable Development of Transport and Logistics
• Rocznik: 2021
• Tom: Vol. 6, No. 2
• Strony: 124--142
• Opis fizyczny: Bibliogr. 82 poz., rys., tab., wykr.

Twórcy

autor

Farchi Chayma

• Hassan 1er University, Settat, Morocco, Department of Mechanical and Electrical Engineering, Research Laboratory: IMII (Engineering, Industrial Management, and Innovation), Faculty of Sciences and Technologies

• https://orcid.org/0000-0002-6873-4137

autor

Touzi Badr

• Mohammed V University, Rabat, Morocco, Department of Economics and Management Sciences, Research, Faculty of Legal, Economic and Social Sciences - Souissi

autor

Farchi Fadwa

• Hassan 1er University, Settat, Morocco, Department of Mechanical and Electrical Engineering, Research Laboratory: IMII (Engineering, Industrial Management, and Innovation), Faculty of Sciences and Technologies

• https://orcid.org/0000-0003-0334-6202

autor

Mousrij Ahmed

• Hassan 1er University, Settat, Morocco, Department of Mechanical and Electrical Engineering, Research Laboratory: IMII (Engineering, Industrial Management, and Innovation), Faculty of Sciences and Technologies

• https://orcid.org/0000-0002-4555-6761

Bibliografia

• Abdallah, T., Farhat, A., Diabat, A., & Kennedy, S. (2012). Green supply chains with carbon trading and environmental sourcing: Formulation and life cycle assessment. Applied Mathematical Modelling, 36(9), 4271-4285. https://doi.org/10.1016/j.apm.2011.11.056
• Ahi, P., & Searcy, C. (2013). A comparative literature analysis of definitions for green and sustainable supply chain management. Journal of Cleaner Production, 52, 329-341. https://doi.org/10.1016/j.jclepro.2013.02.018
• Allaoui, H., Guo, Y., & Sarkis, J. (2019). Decision support for collaboration planning in sustainable supply chains. Journal of Cleaner Production, 229, 761-774. https://doi.org/10.1016/j.jclepro.2019.04.367
• Anand, M., Sahay, B. S., & Saha, S. (2005). Balanced Scorecard in Indian Companies. Vikalpa, 30(2), 11-26. https://doi.org/10.1177/0256090920050202
• Arena, M., Azzone, G., & Conte, A. (2013). A streamlined LCA framework to support early decision making in vehicle development. Journal of Cleaner Production, 41, 105-113. https://doi.org/10.1016/j.jclepro.2012.09.031
• Asif, M., Searcy, C., Zutshi, A., & Ahmad, N. (2011). An integrated management systems approach to corporate sustainability. European Business Review, 23(4), 353-367. https://doi.org/10.1108/09555341111145744
• Askariazad, M., & Wanous, M. (2009). A proposed value model for prioritising supply chain performance measures. International Journal of Business Performance and Supply Chain Modelling, 1(2/3), 115. https://doi.org/10.1504/ijbpscm.2009.030637
• Badri Ahmadi, H., Kusi-Sarpong, S., & Rezaei, J. (2017). Assessing the social sustainability of supply chains using Best Worst Method. Resources, Conservation and Recycling, 126, 99-106. https://doi.org/10.1016/j.resconrec.2017.07.020
• Bagloee, S. A., Shnaiderman, M., Tavana, M., & Ceder, A. (2015). A logit-based model for facility placement planning in supply chain management. International Journal of Logistics Systems and Management, 20(1), 122-147. https://doi.org/10.1080/03081060.2016.1266164
• Bappy, M. M., Ali, S. M., Kabir, G., & Paul, S. K. (2019). Supply chain sustainability assessment with Dempster-Shafer evidence theory: Implications in cleaner production. Journal of Cleaner Production, 117771. https://doi.org/10.1016/j.jclepro.2019.117771
• Beheiry, S. M., Chong, W. K., & Haas, C. T. (2006). Examining the Business Impact of Owner Commitment to Sustainability. Journal of Construction Engineering and Management, 132(4), 384-392. https://doi.org/10.1061/(asce)0733-9364(2006)132:4(384)
• Beloff, B., Tanzil, D., & Lines, M. (2004). Sustainable development performance assessment. Environmental Progress, 23(4), 271-276. https://doi.org/10.1002/ep.10045
• Beske-Janssen, P., Johnson, M. P., & Schaltegger, S. (2015). 20 years of performance measurement in sustainable supply chain management - what has been achieved?. Supply Chain Management: An International Journal, 20(6), 664-680. https://doi.org/10.1108/scm-06-2015-0216
• Bonney, M., & Jaber, M. Y. (2014). Deriving research agendas for manufacturing and logistics systems: A methodology. International Journal of Production Economics, 157, 49-61. https://doi.org/10.1016/j.ijpe.2013.12.007
• Brandenburg, M., Govindan, K., Sarkis, J., & Seuring, S. (2014). Quantitative models for sustainable supply chain management: Developments and directions. European Journal of Operational Research, 233(2), 299-312. https://doi.org/10.1016/j.ejor.2013.09.032
• Bullinger, H.-J., Kühner, M., & Van Hoof, A. (2002). Analysing supply chain performance using a balanced measurement method. International Journal of Production Research, 40(15), 3533-3543. https://doi.org/10.1080/00207540210161669
• Chai, J., Liu, J. N. K., & Ngai, E. W. T. (2013). Application of decision-making techniques in supplier selection: A systematic review of literature. Expert Systems with Applications, 40(10), 3872-3885. https://doi.org/10.1016/j.eswa.2012.12.040
• Charnes, A., Cooper, W. W., & Rhodes, E. (1979). Measuring the efficiency of decision-making units. European Journal of Operational Research, 3(4), 339. https://doi.org/10.1016/0377-2217(79)90229-7
• Davis, E. W., & Spekman, R. E. (2004). The Extended Enterprise: Gaining Competitive advantage through collaborative supply chains. FT press.
• Déprés, C., Vivien, F.-D., Lepart, J., & Pascal, M. (dir.). L’évaluation de la durabilité - Versailles, Quae, coll. «Indisciplines», 2013, 268 p., Économie rurale [En ligne], 349-350 | septembre-novembre 2015, mis en ligne le 15 décembre 2015, consulté le 24 septembre 2020. https://doi.org/10.4000/economierurale.4764
• Dey, P. K., & Cheffi, W. (2012). Green supply chain performance measurement using the analytic hierarchy process: a comparative analysis of manufacturing organisations. Production Planning & Control, 24(8-9), 702-720. https://doi.org/10.1080/09537287.2012.666859
• Di Pasquale, V., Franciosi, C., Iannone, R., Malfettone, I., & Miranda, S. (2017). Human error in industrial maintenance: a systematic literature review. In Proceedings of the XXII Summer School “Francesco Turco”, pp. 164-170.
• Dyllick, T., & Hockerts, K. (2002). Beyond the business case for corporate sustainability. Business Strategy and the Environment, 11(2), 130-141. https://doi.org/10.1002/bse.323
• Elkington, J. (1997). Cannibals with Forks: the Triple Bottom Line of 21st Century Business. Capstone, Oxford.
• Erol, I., Sencer, S., & Sari, R. (2011). A new fuzzy multi-criteria framework for measuring sustainability performance of a supply chain. Ecological Economics, 70(6), 1088-1100. https://doi.org/10.1016/j.ecolecon.2011.01.00
• Essajide, L., & Ali, R. (2017). Planning and modelling of Pharmaceuticals Wholesale-Distributors supply Chain using SCOR model: A Moroccan case study. International Journal of Management Sciences and Business Research, 6(3).
• Faisal, M.N., 2010. Sustainable supply chains: a study of interaction among the enablers. Business Process Management Journal, 16(3), 508-529. https://doi.org/10.1108/14637151011049476
• Farajpour Khanaposhtani, G., Jafari, S. S., Ariana, F., Alaie, A., & Salimi, H. (2017). Formulating the supply chain strategy of automotive industry in Iran using balanced Scorecard, System Dynamics, and GameTheory. Marketing and Branding Research, 4, 135-147.
• Gallear, D., Ghobadian, A., Li, Y., O’Regan, N., Childerhouse, P., & Naim, M. (2013). An environmental uncertainty-based diagnostic reference tool for evaluating the performance of supply chain value streams. Production Planning & Control, 25(13-14), 1182-1197. https://doi.org/10.1080/09537287.2013.808838
• Georgiadis, P., & Besiou, M. (2009). Environmental strategies for electrical and electronic equipment supply chains: which to choose?. Sustainability, 1(3), 722-733. https://doi.org/10.3390/su1030722
• Ghatari, A. R., Mehralian, G., Zarenezhad, F., & Rasekh, H. R. (2013). Developing a model for agile supply: An empirical study from Iranian pharmaceutical supply chain. Iranian journal of pharmaceutical research: IJPR, 12(Suppl), 193.
• Glock, C. H., Jaber, M. Y., & Searcy, C. (2012). Sustainability strategies in an EPQ model with price‐ and quality‐sensitive demand. The International Journal of Logistics Management, 23(3), 340-359. https://doi.org/10.1108/09574091211289219
• Govindan, K., Mangla, S. K., & Luthra, S. (2017). Prioritising indicators in improving supply chain performance using fuzzy AHP: insights from the case example of four Indian manufacturing companies. Production Planning & Control, 28(6-8), 552-573. https://doi.org/10.1080/09537287.2017.1309716
• Gunasekaran, A., Patel, C., & McGaughey, R. E. (2004). A framework for supply chain performance measurement. International journal of production economics, 87(3), 333-347. http://dx.doi.org/10.1016/j.ijpe.2003.08.003
• Gunasekaran, A., Patel, C., & Tirtiroglu, E. (2001). Performance measures and metrics in a supply chain environment. International Journal of Operations & Production Management, 21(1-2), 71-87. https://doi.org/10.1108/01443570110358468
• Hartmann, J., & Moeller, S. (2014). Chain liability in multitier supply chains? Responsibility attributions for unsustainable supplier behavior. Journal of Operations Management, 32(5), 281-294. https://doi.org/10.1016/j.jom.2014.01.005
• Hassini, E., Surti, C., & Searcy, C. (2012). A literature review and a case study of sustainable supply chains with a focus on metrics. International Journal of Production Economics, 140(1), 69-82. https://doi.org/10.1016/j.ijpe.2012.01.042
• Ho, W. (2008). Integrated analytic hierarchy process and its applications - A literature review. European Journal of Operational Research, 186(1), 211-228. https://doi.org/10.1016/j.ejor.2007.01.004
• Hong, J., Zhang, Y., & Ding, M. (2018). Sustainable supply chain management practices, supply chain dynamic capabilities, and enterprise performance. Journal of Cleaner Production, 172, 3508-3519. https://doi.org/10.1016/j.jclepro.2017.06.093
• Hubbard, G. (2009). Measuring organizational performance: beyond the triple bottom line. Business Strategy and the Environment, 18(3), 177-191. https://doi.org/10.1002/bse.564
• Jaber, M. Y., Glock, C. H., & El Saadany, A. M. (2013). Supply chain coordination with emissions reduction incentives. International Journal of Production Research, 51(1), 69-82. https://doi.org/10.1080/00207543.2011.651656
• Jia, F., Zuluaga-Cardona, L., Bailey, A., & Rueda, X. (2018). Sustainable supply chain management in developing countries: An analysis of the literature. Journal of Cleaner Production, 189, 263-278. https://doi.org/10.1016/j.jclepro.2018.03.248
• Kafa, N., Hani, Y., & El Mhamedi, A. (2013). Sustainability Performance Measurement for Green Supply Chain Management. IFAC Proceedings Volumes, 46(24), 71-78. https://doi.org/10.3182/20130911-3-br-3021.00050
• Kainuma, Y., & Tawara, N. (2006). A multiple attribute utility theory approach to lean and green supply chain management. International Journal of Production Economics, 101(1), 99-108. https://doi.org/10.1016/j.ijpe.2005.05.010
• Kaplan, R. S., & Norton, D. P. 1992. The balanced scorecard: measures that drive performance. Harvard Business Review, 83(7), 172.
• Koberg, E., & Longoni, A. (2019). A systematic review of sustainable supply chain management in global supply chains. Journal of Cleaner Production, 207, 1084-1098. https://doi.org/10.1016/j.jclepro.2018.10.033
• Kot, S. (2018). Sustainable supply chain management in small and medium enterprises. Sustainability, 10(4), 1143. https://doi.org/10.3390/su10041143
• Laguna, J. M. (2014). Institutional politics, power constellations, and urban social sustainability: A comparative-historical analysis. Doctoral dissertation, The Florida State University.
• Lin, L.-C., & Li, T.-S. (2010). An integrated framework for supply chain performance measurement using six-sigma metrics. Software Quality Journal, 18(3), 387-406. https://doi.org/10.1007/s11219-010-9099-2
• Mani, V., Agrawal, R., & Sharma, V. (2015). Supply Chain Social Sustainability: A Comparative Case Analysis in Indian Manufacturing Industries. Procedia - Social and Behavioral Sciences, 189, 234-251. https://doi.org/10.1016/j.sbspro.2015.03.219
• Mishra, P., & Sharma, R. K. (2014). Benchmarking SCM performance and empirical analysis: a case from paint industry. Logistics Research, 7(1). https://doi.org/10.1007/s12159-014-0113-0
• Moktadir, M. A., Ali, S. M., Paul, S. K., & Shukla, N. (2019). Barriers to big data analytics in manufacturing supply chains: A case study from Bangladesh. Computers & Industrial Engineering, 128, 1063-1075. https://doi.org/10.1016/j.cie.2018.04.013
• Nappi, V., & Rozenfeld, H. (2015). The incorporation of sustainability indicators into a performance measurement system. Procedia CIRP, 26, 7-12. https://doi.org/10.1016/j.procir.2014.07.114
• Neely, A., Mills, J., Platts, K., Richards, H., Gregory, M., Bourne, M., & Kennerley, M. (2000). Performance measurement system design: developing and testing a process‐based approach. International Journal of Operations & Production Management, 20(10), 1119-1145. https://doi.org/10.1108/01443570010343708
• Otto, A., & Kotzab, H. (2003). Does supply chain management really pay? Six perspectives to measure the performance of managing a supply chain. European Journal of Operational Research, 144(2), 306-320. https://doi.org/10.1016/s0377-2217(02)00396-x
• Paulraj, A. (2009). Environmental motivations: a classification scheme and its impact on environmental strategies and practices. Business Strategy and the Environment, 18(7), 453-468. https://doi.org/10.1002/bse.612
• Peng Wong, W., & Yew Wong, K. (2008). A review on benchmarking of supply chain performance measures. Benchmarking: An International Journal, 15(1), 25-51. https://doi.org/10.1108/14635770810854335
• Pishvaee, M. S., & Razmi, J. (2012). Environmental supply chain network design using multi-objective fuzzy mathematical programming. Applied Mathematical Modelling, 36(8), 3433-3446. https://doi.org/10.1016/j.apm.2011.10.007
• Popovic, T., Barbosa-Póvoa, A., Kraslawski, A., & Carvalho, A. (2018). Quantitative indicators for social sustainability assessment of supply chains. Journal of Cleaner Production, 180, 748-768. https://doi.org/10.1016/j.jclepro.2018.01.142
• Pramod, V. R., & Banwet, D. K. (2011). Performance measurement of SHER service supply chain: a balanced score card - ANP approach. International Journal of Business Excellence, 4(3), 321. https://doi.org/10.1504/ijbex.2011.040108
• Qazi, A., Dickson, A., Quigley, J., & Gaudenzi, B. (2018). Supply chain risk network management: A Bayesian belief network and expected utility based approach for managing supply chain risks. International Journal of Production Economics, 196, 24-42. https://doi.org/10.1016/j.ijpe.2017.11.008
• Qorri, A., Mujkić, Z., & Kraslawski, A. (2018). A conceptual framework for measuring sustainability performance of supply chains. Journal of Cleaner Production, 189, 570-584. https://doi.org/10.1016/j.jclepro.2018.04.073
• Rasolofo-Distler, F., & Distler, F. (2018). Using the balanced scorecard to manage service supply chain uncertainty: Case studies in French real estate services. Knowledge and Process Management, 25(3), 129-142. https://doi.org/10.1002/kpm.1572
• Reddy. K, J. M., Rao. A, N., & L, K. (2019). A review on supply chain performance measurement systems. Procedia Manufacturing, 30, 40-47. https://doi.org/10.1016/j.promfg.2019.02.007
• Ross-Smith, K., & Yearworth, M. (2011, May). Dynamics of operational procurement: systems modeling for performance tracking and auditing. In Proceedings of The 29th International Conference of the System Dynamics Society.
• Saint Jean, M. (2008). Polluting emissions standards and clean technology trajectories under competitive selection and supply chain pressure. Journal of Cleaner Production, 16(1), S113-S123. https://doi.org/10.1016/j.jclepro.2007.10.009
• Sari, K., & Suslu, M. (2018). A modeling approach for evaluating green performance of a hotel supply chain. Technological Forecasting and Social Change, 137, 53-60. https://doi.org/10.1016/j.techfore.2018.06.041
• Sartori, S., Witjes, S., & Campos, L. M. S. (2017). Sustainability performance for Brazilian electricity power industry: An assessment integrating social, economic and environmental issues. Energy Policy, 111, 41-51. https://doi.org/10.1016/j.enpol.2017.08.054
• Seuring, S. (2013). A review of modeling approaches for sustainable supply chain management. Decision Support Systems, 54(4), 1513-1520. https://doi.org/10.1016/j.dss.2012.05.053
• Seuring, S., & Müller, M. (2008). Core issues in sustainable supply chain management-a Delphi study. Business strategy and the environment, 17(8), 455-466. https://doi.org/10.1002/bse.607
• Seuring, S., Brix-Asala, C., & Khalid, R. U. (2018). Analyzing base-of-the-pyramid projects through sustainable supply chain management. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2018.12.102
• Singh, R. K., Murty, H. R., Gupta, S. K., & Dikshit, A. K. (2009). An overview of sustainability assessment methodologies. Ecological Indicators, 9(2), 189-212. https://doi.org/10.1016/j.ecolind.2008.05.011
• Thakkar, J., Kanda, A., & Deshmukh, S. G. (2009). Supply chain performance measurement framework for small and medium scale enterprises. Benchmarking: An International Journal, 16(5), 702-723. https://doi.org/10.1108/14635770910987878
• Thanki, S., & Thakkar, J. (2018). A quantitative framework for lean and green assessment of supply chain performance. International Journal of Productivity and Performance Management, 67(2), 366-400. https://doi.org/10.1108/ijppm-09-2016-0215
• Trivedi, A., & Rajesh, K. (2013). A framework for performance measurement in supply chain using balanced score card method: a case study. Int. J. Recent Trends Mech. Eng, 4(1), 20-23.
• Tseng, M.-L., Wu, K.-J., Lim, M. K., & Wong, W.-P. (2019). Data-driven sustainable supply chain management performance: A hierarchical structure assessment under uncertainties. Journal of Cleaner Production, 227, 760-771. https://doi.org/10.1016/j.jclepro.2019.04.201
• Turnhout, E., Hisschemöller, M., & Eijsackers, H. (2007). Ecological indicators: Between the two fires of science and policy. Ecological Indicators, 7(2), 215-228. https://doi.org/10.1016/j.ecolind.2005.12.003
• Venkatesh, V. G., Zhang, A., Deakins, E., Luthra, S., & Mangla, S. (2019). A fuzzy AHP-TOPSIS approach to supply partner selection in continuous aid humanitarian supply chains. Annals of Operations Research, 283(1), 1517-1550. https://doi.org/10.1007/s10479-018-2981-1
• Wan, X., Liu, X., Du, Z., & Du, Y. (2021). A novel model used for assessing supply chain sustainability integrating the ANP and ER approaches and its application in marine ranching. Journal of Cleaner Production, 279, 123500. https://doi.org/10.1016/j.jclepro.2020.123500
• Xia, D., Yu, Q., Gao, Q., & Cheng, G. (2017). Sustainable technology selection decision-making model for enterprise in supply chain: Based on a modified strategic balanced scorecard. Journal of Cleaner Production, 141, 1337-1348. https://doi.org/10.1016/j.jclepro.2016.09.083
• Zhang, M., Tse, Y. K., Doherty, B., Li, S., & Akhtar, P. (2018). Sustainable supply chain management: Confirmation of a higher-order model. Resources, Conservation and Recycling, 128, 206-221. https://doi.org/10.1016/j.resconrec.2016.06.015
• Zuniga, R., Icarte, G., Griffiths, J., Lopez, J., & Quezada, J. (2018, February). Modeling of critical products supply chain required to affected people on earthquakes and tsunamis through use of SCOR model. In International Conference on Dynamics in Logistics (pp. 53-57). Springer, Cham.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).