ASSESSING TRIPLE BOTTOM LINE ASSESSMENT FRAMEWORK: A SYSTEMATIC APPROACH FOR THE MANUFACTURING INDUSTRIES

Reeti Sethi, Dr. M. Rajesh

Abstract


In industrial development, sustainability evaluation is vital. A structured framework is required to develop sustainable policies within an organisation. A company's sustainability framework includes elements or performance measures to ensure appropriate development in policies, people, products, procedures, and overall performance. The study examined these frameworks and related factors in the manufacturing industry from 2007 to 2020. Any industry, including manufacturing, must use a sustainability evaluation framework and apply it. However, manufacturing industries lack methodological frameworks for assessing sustainability. The paper examined the problems and opportunities that sustainable frameworks present to the manufacturing business. This sustainable assessment framework focuses on the triple bottom line concept such as economic, social and environmental aspects of an industry. Employee engagement, continuous learning, supply chain management, and many other factors are essential elements of this framework. A secondary data analysis process has been followed for this research article to go through a wide range of data regarding this topic from different journal articles and websites. An exploratory study design has been included in this research for in-depth analysis of collected data. As per findings, the sustainable development framework has identified different internal and external drivers that are essential for the manufacturing industry.


Keywords


Value stream mapping (VSM) approach, Key Performance Indicator, Continuous learning, Employee engagement, Supply chain management, Conceptual Framework, Triple Bottom Line, Green Practices.

Full Text:

PDF

References


Akhtar, P., Ullah, S., Amin, S.H., Kabra, G., Shaw, S., 2020. Dynamic capabilities and environmental sustainability for emerging economies’ multinational enterprises. Int. Stud. Manag. Organ. 50 (1), 27–42.

Alharahsheh, H.H. & Pius, A. 2020. A review of key paradigms: Positivism VS interpretivism. Global Academic Journal of Humanities and Social Sciences, 2 (3), 39-43.

Bai, C., Dallasega, P., Orzes, G., Sarkis, J., 2020. Industry 4.0 technologies assessment: a sustainability perspective. Int. J. Prod. Econ. 229, 107776.

Bhakar, V., Digalwar, A.K. & Sangwan, K.S. 2018. Sustainability assessment framework for manufacturing sector–a conceptual model. Procedia Cirp, 69, 248-253. Retrieved from: https://www.sciencedirect.com/science/article/pii/S2212827117308818

Bhanot, N., Rao, P.V. & Deshmukh, S.G. 2015. Sustainability assessment framework for a manufacturing firm: an exploratory study. Journal of Practice Management, 39 (2), 36-46.

Bhanot, N., Rao, P.V. & Deshmukh, S.G. 2016. An integrated sustainability assessment framework: a case of turning process. Clean Technologies and Environmental Policy, 18 (5), 1475-1513.

Cedarscenter, 2021. Overview. Retrieved on: 8 January 2021 from: http://cedarscenter.com/sfoverview.cfm

Díaz-Chao, _A., Ficapal-Cusí, P., Torrent-Sellens, J., 2020. Environmental assets, industry 4.0 technologies and firm performance in Spain: a dynamic capabilities path to reward sustainability. J. Clean. Prod. 281 (xxxx), 125264, 125264.

Digalwar, A.K., Dambhare, S. & Saraswat, S. 2020. Social sustainability assessment framework for Indian manufacturing industry. Materials Today: Proceedings, 28, 591-598. Retrieved from: https://www.sciencedirect.com/science/article/pii/S2214785319342567

Furstenau, L.B., Sott, M.K., Kipper, L.M., MacHado, E.L., Lopez-Robles, J.R., Dohan, M.S., Imran, M.A., 2020. Link between sustainability and industry 4.0: trends, challenges and new perspectives. IEEE Access 8, 140079–140096.

Gaikwad, L. & Sunnapwar, V. 2020. Development of an integrated framework of LGSS strategies for Indian manufacturing firms to improve business performance: an empirical study. The TQM Journal, 33 (1), 257-291. Retrieved from: https://www.emerald.com/insight/content/doi/10.1108/TQM-05-2020-0110/full/html

Ghobakhloo, M., 2020. Industry 4.0, digitization, and opportunities for sustainability. J. Clean. Prod. 252, 119869.

Gupta, S., Modgil, S., Gunasekaran, A., Bag, S., 2020. Dynamic capabilities and institutional theories for Industry 4.0 and digital supply chain. Supply Chain Forum 21 (3), 139–157.

Heap, V., & Waters, J. 2019. Data collection methods. In Mixed Methods in Criminology (pp. 141-176). Routledge. Retrieved from: https://www.taylorfrancis.com/chapters/edit/10.4324/9781315143354-8/data-collection-methods-vicky-heap-jaime-waters

Hendiani, S., Liao, H., Bagherpour, M., Tvaronavičienė, M., Banaitis, A. & Antucheviciene, J. 2020. Analyzing the status of sustainable development in the manufacturing sector using multi-expert multi-criteria fuzzy decision-making and integrated triple bottom lines. International journal of environmental research and public health, 17 (11), 3800. Retrieved from: https://www.mdpi.com/727082

Jayashree, S., Reza, M.N.H., Malarvizhi, C.A.N. & Mohiuddin, M. 2021. Industry 4.0 implementation and Triple Bottom Line sustainability: An empirical study on small and medium manufacturing firms. Heliyon, 7 (8), e07753. Retrieved from: https://www.sciencedirect.com/science/article/pii/S2405844021018569

Joffe, H. 2012. Thematic analysis. Qualitative research methods in mental health and psychotherapy: A guide for students and practitioners, 1, 210-223. Retrieved from: https://www.researchgate.net/profile/Helene_Joffe/publication/230000572_Thematic_Analysis/links/00b7d53bd6edd1aee3000000

Johnston, M.P. 2017. Secondary data analysis: A method of which the time has come. Qualitative and quantitative methods in libraries, 3 (3), 619-626. Retrieved from: http://www.qqml-journal.net/index.php/qqml/article/view/169

Kiel, D., Müller, J.M., Arnold, C., Voigt, K.-I., 2020. Sustainable industrial value creation: benefits and challenges of industry 4.0. In: Digital Disruptive Innovation. World Scientific, pp. 231–270.

Kumar, R., Singh, R.K., Dwivedi, Y.K., 2020. Application of industry 4.0 technologies in SMEs for ethical and sustainable operations: analysis of challenges. J. Clean. Prod. 275, 124063.

Lin, D., Lee, C.K.M., Lau, H., Yang, Y., 2018. Strategic response to Industry 4.0: an empirical investigation on the Chinese automotive industry. Ind. Manag. Data Syst. 118 (3), 589–605.

Mckinsey, 2021. India’s turning point. Retrieved on: 8 January 2021 from: https://www.mckinsey.com/~/media/McKinsey/Featured%20Insights/India/Indias%20turning%20point%20An%20economic%20agenda%20to%20spur%20growth%20and%20jobs/MGI-Indias-turning-point-Report-August-2020-vFinal.pdf

McWilliams, A., Parhankangas, A., Coupet, J., Welch, E., Barnum, D.T., 2016. Strategic decision making for the triple bottom line. BSE 25 (3), 193–204.

Mittal, V. K., & Sangwan, K. S. 2014. Prioritizing drivers for green manufacturing: environmental, social and economic perspectives. Procedia Cirp, 15, 135-140. Retrieved from: https://www.sciencedirect.com/science/article/pii/S2212827114004612

Müller, J.M., Kiel, D., Voigt, K.I., 2018. What drives the implementation of Industry 4.0? The role of opportunities and challenges in the context of sustainability. Sustainability 10 (1).

Omair, A. 2015. Selecting the appropriate study design for your research: Descriptive study designs. Journal of Health Specialties, 3 (3), 153.

Pasi, B.N., Mahajan, S.K. & Rane, S.B. 2020. The current sustainability scenario of Industry 4.0 enabling technologies in Indian manufacturing industries. International Journal of Productivity and Performance Management. Retrieved from: https://www.emerald.com/insight/content/doi/10.1108/IJPPM-04-2020-0196/full/html

Paz, T.d.S.R., Caiado, R.G.G., Quelhas, O.L.G., Gavi~ao, L.O., Lima, G.B.A., 2021. Assessment of sustainable development through a multi-criteria approach: application in brazilian municipalities. J. Environ. Manag. 282, 111954.

Queiroz, M.M., Telles, R., 2018. Big data analytics in supply chain and logistics: an empirical approach. Int. J. Logist. Manag. 29 (2), 767–783, 2018 May 14.

Research Boundaries, 3. Association for Information Systems (Malaysia Chapter), Malaysia, pp. 91–104. https://www.researchgate.net/publication/348704345_Industry_40_and_Sustainability_-A_study_on_Malaysian_MSC_Status_Companies.

Reza, M.N.H., Jayashree, S., Malarvizhi, C.A., 2020. Industry 4.0 and sustainability-A study on Malaysian MSC status companies. In: Exploring Information System

Sarvari, P.A., Ustundag, A., Cevikcan, E., Kaya, I., Cebi, S., 2018. Technology roadmap for industry 4.0. Industry 4.0: Managing the Digital Transformation. Springer, pp. 95–103.

Schulz, S.A., Flanigan, R.L., 2016. Developing competitive advantage using the triple bottom line: a conceptual framework. JBIM 31 (4), 449–458.

Stock, T., Seliger, G., 2016. Opportunities of sustainable manufacturing in industry 4.0. Procedia CIRP 40, 536–541.

Telukdarie, A., Buhulaiga, E., Bag, S., Gupta, S., Luo, Z., 2018. Industry 4.0 implementation for multinationals. Process Saf. Environ. Protect. 118, 316–329.

UN, 1987. Report of the World Commission on Environment and Development. Vaidya, S., Ambad, P., Bhosle, S., 2018. Industry 4.0 – a glimpse. Procedia Manufacturing 20, 233–238.

Woiceshyn, J. & Daellenbach, U. 2018. Evaluating inductive vs deductive research in management studies: Implications for authors, editors, and reviewers. Qualitative Research in Organizations and Management: An International Journal, 13 (2), 183-195. Retrieved from: https://www.emerald.com/insight/content/doi/10.1108/QROM-06-2017-1538/full/html

Wood, R., Stadler, K., Bulavskaya, T., Lutter, S., Giljum, S., de Koning, A., Tukker, A., 2015. Global sustainability accounting-developing EXIOBASE for multi-regional footprint analysis. Sustainability 7 (1), 138–163.

Yadav, G., Kumar, A., Luthra, S., Garza-Reyes, J.A., Kumar, V. & Batista, L. 2020. A framework to achieve sustainability in manufacturing organisations of developing economies using industry 4.0 technologies’ enablers. Computers in industry, 122, 103280.

Yang, S., Raghavendra, M.R.A., Kaminski, J., Pepin, H., 2018. Opportunities for industry 4.0 to support remanufacturing. Appl. Sci. 8 (7).

Zhou, K., Liu, T., Zhou, L., 2016. Industry 4.0: towards future industrial opportunities and challenges. In: 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015, pp. 2147–2152.

Zhu, Q., Sarkis, J., Lai, K.-h., 2008. Confirmation of a measurement model for green supply chain management practices implementation. Int. J. Prod. Econ. 111 (2), 261–273.


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Journal of Language and Linguistic Studies
ISSN 1305-578X (Online)
Copyright © 2005-2022 by Journal of Language and Linguistic Studies