Supply Chain Networks, Complexity, and Optimization in Developing Economies: A Systematic Literature Review and Meta-Analysis
Supply Chain Networks and Complexity: A Meta-Analysis
Keywords:
Supply chain, Networks, Complexity, Product, Process, Environmental, Demand uncertainityAbstract
By studying journal articles, the current study has benefited in assessing numerous significant issues, research trends, and breakthroughs in the supply chain management industry. The journals from renowned publishers, e.g. Emerald, Taylor and Francis, Elsevier, Wiley, and Cambridge, were considered for review purposes. All the articles included in this review were conducted in developing countries only. Articles published between 2019 and 2022 by the above publishers were considered for this review. For this review, only articles written in English were included; no articles written in other languages were considered. It is clear from the selected publications that many research areas remain unexplored, and the area is still in its early phases. Moreover, despite the articles' stated objectives and future directions, just a few studies attempted to fill the gaps. The notion of the supply chain has grown in relevance in developing nations and industrialized countries, and its popularity and awareness have increased in recent years. It has been embraced in developing countries due to increased outsourcing and its applicability across various industries. There are certain advantages to using SCM, such as the fact that it may be used in practically any industry sector. Adopting is critical for nations involved primarily in exporting to maintain international quality standards.
References
Abelha, M., Fernandes, S., Mesquita, D., Seabra, F., & Ferreira-Oliveira, A. T. (2020). Graduate employability and competence development in higher education-a systematic literature review using PRISMA. Sustainability, 12(15), 5900. https://doi.org/10.3390/su12155900
Anin, E. K., Boso, N., & Asamoah, D. (2021). Moderating effect of supply chain complexity in governance mechanisms and operational performance relationship: Evidence from a sub-Saharan African market. Africa Journal of Management, 7(3), 400-422. https://doi.org/10.1080/23322373.2021.1927448
Bhat, S. A., & Kumar, A. (2018). An integrated fuzzy approach for prioritizing supply chain complexity drivers of an Indian mining equipment manufacturer by Kavilal, EG, Venkatesan, SP, Kumar, KDH,[Resour. Policy 51 (2017) 204-218]: Suggested modification. Resources Policy, 57, 278-280. https://doi.org/10.1016/j.resourpol.2018.01.003
Budiono, H. D. S., Nurcahyo, R., & Habiburrahman, M. (2021). Relationship between manufacturing complexity, strategy, and performance of manufacturing industries in Indonesia. Heliyon, 7(6), e07225. https://doi.org/10.1016/j.heliyon.2021.e07225
Chand, P., Thakkar, J. J., & Ghosh, K. K. (2018). Analysis of supply chain complexity drivers for Indian mining equipment manufacturing companies combining SAP-LAP and AHP. Resources Policy, 59, 389-410. https://doi.org/10.1016/j.resourpol.2018.08.011
Chand, P., Thakkar, J. J., & Ghosh, K. K. (2020). Analysis of supply chain sustainability with supply chain complexity, inter-relationship study using delphi and interpretive structural modeling for Indian mining and earthmoving machinery industry. Resources Policy, 68, 101726. https://doi.org/10.1016/j.resourpol.2020.101726
Chowdhury, N. A., Ali, S. M., Mahtab, Z., Rahman, T., Kabir, G., & Paul, S. K. (2019). A structural model for investigating the driving and dependence power of supply chain risks in the readymade garment industry. Journal of Retailing and Consumer Services, 51, 102-113. https://doi.org/10.1016/j.jretconser.2019.05.024
Díaz-Reza, J. R., García-Alcaraz, J. L., Avelar-Sosa, L., & Mendoza-Fong, J. R. (2020). The role of employees' performance and external knowledge transfer on the supply chain flexibility. In Techniques, Tools and Methodologies Applied to Global Supply Chain Ecosystems (pp. 25-51). Springer. https://doi.org/10.1007/978-3-030-26488-8_2
Dubey, R., Gunasekaran, A., Childe, S. J., Papadopoulos, T., Luo, Z., & Roubaud, D. (2020). Upstream supply chain visibility and complexity effect on focal company's sustainable performance: Indian manufacturers' perspective. Annals of Operations Research, 290(1), 343-367. https://doi.org/10.1007/s10479-017-2544-x
El Baz, J., Laguir, I., & Stekelorum, R. (2018). Logistics and supply chain management research in Africa: A systematic literature review and research agenda. The International Journal of Logistics Management. https://doi.org/10.1108/IJLM-09-2017-0242
Felipe, C. M., Leidner, D. E., Roldán, J. L., & Leal‐Rodríguez, A. L. (2020). Impact of IS capabilities on firm performance: the roles of organizational agility and industry technology intensity. Decision Sciences, 51(3), 575-619. https://doi.org/10.1111/deci.12379
Fernando, Y., & Wulansari, P. (2020). Perceived understanding of supply chain integration, communication and teamwork competency in the global manufacturing companies. European Journal of Management and Business Economics. https://doi.org/10.1108/EJMBE-06-2020-0157
Fernando, Y., Abideen, A. Z., & Shaharudin, M. S. (2020). The nexus of information sharing, technology capability and inventory efficiency. Journal of Global Operations and Strategic Sourcing. https://doi.org/10.1108/JGOSS-02-2020-0011
Garcia, D. J., & You, F. (2015). Supply chain design and optimization: Challenges and opportunities. Computers & Chemical Engineering, 81, 153-170. https://doi.org/10.1016/j.compchemeng.2015.03.015
Gjerdrum, J., Shah, N., & Papageorgiou, L. G. (2001). Transfer prices for multienterprise supply chain optimization. Industrial & Engineering Chemistry Research, 40(7), 1650-1660. https://doi.org/10.1021/ie000668m
Glesne, C. (2015). Becoming qualitative researchers: An introduction. Pearson.
Gokarn, S., & Kuthambalayan, T. S. (2019). Creating sustainable fresh produce supply chains by managing uncertainties. Journal of Cleaner Production, 207, 908-919. https://doi.org/10.1016/j.jclepro.2018.10.072
Hashmi, A. R., & Tawfiq, A. M. (2020). The effect of disruptive factors on inventory control as a mediator and organizational performance in Health Department of Punjab, Pakistan. International Journal of Sustainable Development & World Policy, 9(2), 122-134. https://doi.org/10.18488/journal.26.2020.92.122.134
Hashmi, A. R., Amirah, N. A., & Yusof, Y. (2020a). Organizational performance with disruptive factors and inventory control as a mediator in public healthcare of Punjab, Pakistan. Management Science Letters, 11(1), 77-86. https://doi.org/10.5267/j.msl.2020.8.028
Hashmi, A. R., Amirah, N. A., & Yusof, Y. (2020b). Mediating effect of integrated systems on the relationship between supply chain management practices and public healthcare performance: Structural Equation Modeling. International Journal of Management and Sustainability, 9(3), 148-160. https://doi.org/10.18488/journal.11.2020.93.148.160
Hashmi, A. R., Amirah, N. A., Yusof, Y., & Zaliha, T. N. (2020). Exploring the dimensions using exploratory factor analysis of disruptive factors and inventory control. The Economics and Finance Letters, 7(2), 247-254. https://doi.org/10.18488/journal.29.2020.72.247.254
Hashmi, A. R., Amirah, N. A., Yusof, Y., & Zaliha, T. N. (2021). Mediation of inventory control practices in proficiency and organizational performance: State-funded hospital perspective. Uncertain Supply Chain Management. 9(1), 89-98. https://doi.org/10.5267/j.uscm.2020.11.006
Hassini, E. (2008). Supply chain optimization: current practices and overview of emerging research opportunities. In (Vol. 46, pp. 93-96): Taylor & Francis. https://doi.org/10.3138/infor.46.2.93
Iyer, K. N., Srivastava, P., & Srinivasan, M. (2019). Performance implications of lean in supply chains: Exploring the role of learning orientation and relational resources. International Journal of Production Economics, 216, 94-104. https://doi.org/10.1016/j.ijpe.2019.04.012
Jia, X., Chowdhury, M., Prayag, G., & Chowdhury, M. M. H. (2020). The role of social capital on proactive and reactive resilience of organizations post-disaster. International Journal of Disaster Risk Reduction, 48, 101614. https://doi.org/10.1016/j.ijdrr.2020.101614
Kavilal, E., Venkatesan, S. P., & Kumar, K. H. (2017). An integrated fuzzy approach for prioritizing supply chain complexity drivers of an Indian mining equipment manufacturer. Resources Policy, 51, 204-218. https://doi.org/10.1016/j.resourpol.2016.12.008
Kavilal, E., Venkatesan, S. P., & Sanket, J. (2018). An integrated interpretive structural modeling and a graph-theoretic approach for measuring the supply chain complexity in the Indian automotive industry. Journal of Manufacturing Technology Management, 29(3), 478-514. Doi: 10.1108/JMTM-03-2017-0032
Khan, S., Rashid, A., Rasheed, R., & Amirah, N. A. (2022). Designing a knowledge-based system (KBS) to study consumer purchase intention: the impact of digital influencers in Pakistan. Kybernetes, 51(1). https://doi.org/10.1108/K-06-2021-0497
Khayyat, M. (2015). An Intelligent Multi-Agent Based Model for Collaborative Logistics Planning Concordia University. https://doi.org/10.1016/j.trpro.2016.02.069
Li, W., Wu, M. Y., & Mei, Q. (2012). The research of supply chain based on fourth party logistics optimization. Advanced Materials Research, https://doi.org/10.4028/www.scientific.net/AMR.461.393
Liao, Y. (2020). An integrative framework of supply chain flexibility. International Journal of Productivity and Performance Management. https://doi.org/10.1108/IJPPM-07-2019-0359
Mednick, S. A., Harway, M., & Finello, K. M. (1984). Handbook of longitudinal research. USAID Publisher.
Menard, S. (2007). Handbook of longitudinal research: Design, measurement, and analysis. Elsevier.
Oláh, J., Krisán, E., Kiss, A., Lakner, Z., & Popp, J. (2020). PRISMA statement for reporting literature searches in systematic reviews of the bioethanol sector. Energies, 13(9), 2323. https://doi.org/10.3390/en13092323
Ortega-Jimenez, C. H., Garrido-Vega, P., & Torres, C. A. C. (2020). Achieving plant responsiveness from reconfigurable technology: Intervening role of SCM. International Journal of Production Economics, 219, 195-203. https://doi.org/10.1016/j.ijpe.2019.06.001
Pham, T., & Doan, T. (2020). Supply chain relationship quality, environmental uncertainty, supply chain performance and financial performance of high-tech agribusinesses in Vietnam. Uncertain Supply Chain Management, 8(4), 663-674. https://doi.org/10.5267/j.uscm.2020.8.006
Piya, S., Shamsuzzoha, A., & Khadem, M. (2020). An approach for analyzing supply chain complexity drivers through interpretive structural modelling. International Journal of Logistics Research and Applications, 23(4), 311-336. https://doi.org/10.1080/13675567.2019.1691514
Piya, S., Shamsuzzoha, A., Khadem, M., & Al Kindi, M. (2020). Integrated analytical hierarchy process and grey relational analysis approach to measure supply chain complexity. Benchmarking: An International Journal. https://doi.org/10.1108/BIJ-03-2020-0108
Prajogo, D., & Sohal, A. (2013). Supply chain professionals: A study of competencies, use of technologies, and future challenges. International Journal of Operations & Production Management. https://doi.org/10.1108/IJOPM-08-2010-0228
Rashid, A. (2016). Impact of inventory management in downstream chains on customer satisfaction at manufacturing firms. International Journal of Management, IT and Engineering, 6(6), 1-19.
Rashid, A., & Amirah, N. A. (2017). Relationship between poor documentation and efficient inventory control at Provincial Ministry of Health, Lahore. American Journal of Innovative Research and Applied Sciences, 5(6), 420-423.
Rashid, A., Amirah, N. A., & Yusof, Y. (2019). Statistical approach in exploring factors of documentation process and hospital performance: a preliminary study. American Journal of Innovative Research and Applied Sciences, 9(4), 306-310.
Rashid, A., Amirah, N. A., Yusof, Y., & Tawfiq, A. M. (2020). Analysis of demographic factors on perceptions of inventory managers towards healthcare performance. The Economics and Finance Letters, 7(2), 289-294. https://doi.org/10.18488/journal.29.2020.72.289.294
Rashid, A., Rasheed, R., Amirah, N. A., Yusof, Y., Khan, S., & Agha, A., A. (2021). A Quantitative Perspective of Systematic Research: Easy and Step-by-Step Initial Guidelines. Turkish Online Journal of Qualitative Inquiry, 12(9), 2874-2883.
Roscoe, S., Eckstein, D., Blome, C., & Goellner, M. (2020). Determining how internal and external process connectivity affect supply chain agility: a life-cycle theory perspective. Production planning & control, 31(1), 78-91. https://doi.org/10.1080/09537287.2019.1629704
Saunders, M., Lewis, P., & Thornhill, A. (2009). Research methods for business students. Pearson education.
Sopha, B. M., Jie, F., & Himadhani, M. (2021). Analysis of the uncertainty sources and SMEs' performance. Journal of Small Business & Entrepreneurship, 33(1), 1-27. https://doi.org/10.1080/08276331.2020.1764737
Tarei, P. K., Chand, P., Gangadhari, R. K., & Kumar, A. (2021). Analyzing the inhibitors of complexity for achieving sustainability and improving sustainable performance of petroleum supply chain. Journal of Cleaner Production, 310, 127360. https://doi.org/10.1016/j.jclepro.2021.127360
Tse, Y. K., Zhang, M., Zeng, W., & Ma, J. (2021). Perception of supply chain quality risk: Understanding the moderation role of supply market thinness. Journal of Business Research, 122, 822-834. https://doi.org/10.1016/j.jbusres.2020.07.003
Turner, N., Aitken, J., & Bozarth, C. (2018). A framework for understanding managerial responses to supply chain complexity. International Journal of Operations & Production Management. https://doi.org/10.1108/IJOPM-01-2017-0062
Wang, C., & Hu, Q. (2020). Knowledge sharing in supply chain networks: Effects of collaborative innovation activities and capability on innovation performance. Technovation, 94, 102010. https://doi.org/10.1016/j.technovation.2017.12.002
Wang, S.-C., Tsai, Y.-T., & Ciou, Y.-S. (2020). A hybrid big data analytical approach for analyzing customer patterns through an integrated supply chain network. Journal of Industrial Information Integration, 20, 100177. https://doi.org/10.1016/j.jii.2020.100177
Wu, Q., Liao, K., Deng, X., & Marsillac, E. (2019). Achieving automotive suppliers' mass customization through modularity: Vital antecedents and the valuable role and responsibility of information sharing. Journal of Manufacturing Technology Management. https://doi.org/10.1108/JMTM-12-2018-0459
Yoo, T., Cho, H., & Yücesan, E. (2010). Hybrid algorithm for discrete event simulation based supply chain optimization. Expert Systems with Applications, 37(3), 2354-2361. https://doi.org/10.1016/j.eswa.2009.07.039
Zhao, X., Wang, P., & Pal, R. (2021). The effects of agro-food supply chain integration on product quality and financial performance: Evidence from Chinese agro-food processing business. International Journal of Production Economics, 231, 107832. https://doi.org/10.1016/j.ijpe.2020.107832
Zimmermann, R., Ferreira, L. M. D., & Moreira, A. C. (2020). How supply chain strategies moderate the relationship between innovation capabilities and business performance. Journal of Purchasing and Supply Management, 26(5), 100658. https://doi.org/10.1016/j.pursup.2020.100658
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