A knowledge-based system for overall supply chain performance evaluation: a multi-criteria decision making approach

Purpose The purpose of this paper is to investigate the complex interrelationships among the key constructs, supply chain orientation (SCO), supply chain integration (SCI) and supply chain performance (SCP) in Indian manufacturing industries. These relationships have been studied using the relational view (RV) and the knowledge-based view (KBV) theoretical perspectives. Design/methodology/approach The conceptual model was derived from the existing body of knowledge in the supply chain domain. The study is based on a sample size of 122 data collected via face-to-face meetings with the Indian manufacturers using well-established scales. The covariance-based structural equation modeling was used to test the proposed hypotheses. Findings In Indian manufacturing and supply chains, SCO has a positive relationship with SCI and SCP. Moreover, the direct impact of SCO on SCP diminishes when SCI is used as a mediating variable. This study also observes positive impact of: i) SCO on SCP, ii) SCI on SCP and iii) discovery of mediating role of SCI on SCP under the theoretical lenses of RV and KBV. Research limitations/implications Cross-sectional survey of manufacturing firms of one country (using one response per firm) calls for validation covering other parts of the world and demands a longitudinal survey. This research will trigger more scholarly, practice and policy debate among researchers studying Indian and emerging economies context. Practical implications The notion of a holistic view of the SC with a focus on improving the customer value can enhance strategic partnerships among the SC partners (i.e. SCI) and overall SCP. Firms should make efforts to include SCI in SC designs to successfully transform SCO into SCP. Originality/value The originality of the research lies in studying the complex interrelationships among key concepts of SC in a unique Indian manufacturing context. The Indian supply chains operate in a set of unique characteristics, which have been detailed out in this paper. This paper not only establishes the mediating role of SCI for overall SCP in emerging economies but also enhances the scholarly knowledge in the SC domain. Most studies report SCO as a single-order construct, measured by scales comprising of only few items. The second-order SCO measures in this study bring credibility to the findings. Additionally, it contributes to both academicians and practitioners alike in the context of an integrated SC in emerging economies.

This study aims at investigating the roles of supply chain integration and innovation on supply chain performance through a mediation mechanism of supply chain. This study develops a theoretical framework based on resource-based view and dynamic capability theory. Based on a quantitative study of 214 Saudi hospitals, an empirical analysis was made using a structural equation modelling with AMOS. Results revealed that supply chain integration and innovation positively affect supply chain resilience and performance. In addition, supply chain resilience has a positive and significant relationship with supply chain performance. Most significantly, the relationships of supply chain integration and of innovation to supply chain performance were found to be partially mediated by supply chain resilience. These results showed that integration and innovation have direct effects to improve supply chain performance and indirect ones when hospitals make efforts in developing their resilience. This study is important for top managers of Saudi hospitals to integrate their supply chains and innovate them to improve their resilience and performance.

Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model

In recent years, with the emergence of new technologies, big data, artificial intelligence, and other technologies have had a greater impact on supply chain management. Among them, big data analysis capability, as one of the important capabilities that supply chain enterprises should have, has a particularly significant impact on supply chain resilience management. From the perspective of performance management, based on supply chain resilience theory, the relationship between the supply chain performance management level, supply chain collaboration, and other supply chain resilience elements, as well as big data analysis capability and supply chain performance can be analyzed to study the impact of big data analysis capability on supply chain performance of enterprises of different scales. The impact on the level of supply chain performance is being studied. This paper investigates the problem of supply chain performance evaluation and optimization based on the LMBP algorithm and provides some references for supply chain performance evaluation and optimization.

Measuring the influence of digital twins on the sustainability of manufacturing supply chain: A mediating role of supply chain resilience and performance

The key objective of this research study is to delve into the factors affecting supply chain resilience to enhance supply chain performance through the mediation of supply chain resilience. A quantitative method of research was applied to perform this particular research. Data collection was performed using the questionnaire technique. As it was impossible to collect data from every member of the targeted population, a sample of data was calculated using G*power software and a sample size of 129 respondents. It was concluded that supply chain artificial intelligence, adaptive capability, and collaboration positively and significantly influence supply chain resilience and performance. At the same time, supply chain resilience also positively impacts supply chain performance. Thus, adopting resilience and other dynamic capacities can enhance organizational and supply chain performance. This research study provides insight to the manufacturing firms' practitioners and managers for improving their resilience level in the supply chain. This specific research study plays a significant role in literature by highlighting the concept of supply chain resilience and the supply chain performance of organizations.

PurposeDespite the economic growth in Ghana, the manufacturing industry faces numerous challenges in their supply chains. The study aims to investigate the mediated-moderated role of supply chain technological innovation (SCTI) in the relationship between supply chain resilience (SCR) and supply chain performance (SCP) of manufacturing firms. By exploring this relationship, the study seeks to provide insights that can help manufacturing firms overcome the challenges they face and improve their overall supply chain performance.Design/methodology/approachThe quantitative research approach and explanatory research design were utilised. A sample of 345 manufacturing firms was drawn from a population of 2495 manufacturing firms in the Accra metropolis. Analysis of this study was performed using the Partial Least Squares Structural Equation Modelling (PLS-SEM).FindingsIt was revealed that SCTI positively mediates the nexus between SCR and SCP. However, we document that SCTI negatively moderates the nexus. It is instructive to advocate that a mere presence of a more enhanced SCTI is not enough to improve upon SCP of manufacturing firms, but should be a channel through which SCR can improve SCP.Practical implicationsThis study highlights the need for managers of firms to prioritise investment in technological innovation as a means of enhancing SCR and ultimately improving supply chain performance. By understanding the SCTI mediated-moderated relationship between SCR and SCP, supply chain managers, logistics managers, operation managers, as well as procurement managers can develop more effective strategies to optimise their operations. This study provides valuable insights for managers and policymakers in developing and implementing supply chain resilience strategies that take into account the important role of SCTI.Originality/valueThe originality of the study lies in exploring the mediated-moderated effect of technological innovation on the nexus between resilience and performance of supply chains in developing economies, where firms often face unique challenges such as infrastructure limitations, political instability and economic uncertainty. By investigating the interplay of SCTI between SCR and SCP, researchers can develop new insights and strategies to help navigate these challenges and achieve success.

This study investigates how tech-driven integration (TDI), supply chain flexibility (SCF), and organizational ambidexterity (ORA) influence supply chain integration (SCI) and supply chain performance (SCP) in manufacturing firms. Supply chain uncertainty and agility are examined as moderating factors in the relationship between TDI, SCF, ORA, SCI, and supply chain performance. Based on insights from two experts and a comprehensive literature review, 35 measurement items were identified for the close-ended questionnaire design. Grounded in the resource-based view, the study employs the partial least squares structural equation modeling (PLS-SEM) approach to analyze 409 valid responses from the manufacturing industry. Our findings reveal that TDI and ORA positively impact SCI, while SCF has no significant influence on SCI. SCI directly influences SCP. Supply chain uncertainty moderates the two impacts: TDI and SCI; ORA and SCI. Besides, supply chain agility moderates the relationship between SCI and SCP. Our findings contribute to the literature by introducing a novel perspective on the relational dynamics of supply chain management by TDI and emphasizing the importance of organizational ambidexterity. We provide practical recommendations for managers to improve firm performance by strengthening the connections between TDI, SCF, ORA, uncertainty, agility, SCI, and SCP.

Arabica Coffee is one of Bali's primary products in trade activities, both foreign and domestic. The rise of the downstream coffee industry has resulted in an increasing demand for Arabica coffee. Balinese Arabica coffee processing businesses are required to be able to compete by strengthening their supply chains. Changes in the very dynamic business situation require coffee processing businesses to be able to adapt and take adjustment steps. For this reason, evaluations related to supply chain performance must be carried out consistently. This study aims to evaluate the performance of the Kintamani Bali Arabica coffee supply chain. The research approach utilised a quantitative survey method. The research informants used were 55 people, consisting of farmers, agricultural extension workers, coffee processing businesses, coffee shops, and academics. The data was analysed using the SCOR (Supply Chain Operation References) approach and the Analytical Hierarchy Process (AHP) method. The results of this study obtained as many as 49 validated key performance indicators. The results of the measurement of the performance of the Kintamani Bali Arabica Coffee processing business supply chain showed a result of 84.97%, with a good category. It is hoped that the coffee processing business will be able to improve the performance of the supply chain in the plan process, through improving the information system by continuously recording, and deploying workforces that have expertise in business information documentation activities.

PurposeThis study aims to examine the impact of supply chain digitalization (SCD) on supply chain performance (SCP) with the integration of supply chain agility (SCA) and supply chain resilience (SCR) in manufacturing firms. Additionally, it investigates the moderating role of environmental dynamism (ED) in these relationships in the context of manufacturing firms.Design/methodology/approachA quantitative research design was employed, utilizing a structured questionnaire to collect data. The sample consisted of 374 valid responses from various managerial levels within manufacturing firms in Jordan. A purposive sampling technique was used to ensure that participants had relevant expertise in supply chain management. The data were analyzed using structural equation modeling (SEM) through Smart PLS software to test the proposed hypotheses.FindingsThe study found that SCD positively impacts SCP by enhancing both SCA and SCR. Digital technologies were shown to improve supply chain visibility, speed of decision-making and resource efficiency, which are essential for maintaining performance under uncertain conditions. Furthermore, ED significantly moderates the relationship between digitalization and SCP, indicating that the benefits of digitalization on SCA and SCR are more pronounced in highly dynamic environments.Originality/valueThis study contributes to the literature by offering an investigation on the role of SCD in influencing SCA, SCR and ultimately SCP in manufacturing firms. It also sheds light on the moderating effect of ED, providing a deeper understanding of the conditions under which digital transformation in supply chains is most beneficial. The study was based on three theoretical foundations: the resource-based view (RBV), the dynamic capabilities theory (DCT) and the contingency theory (CT).

In local and globalized markets, warehouses are crucial supply chain nodes. This study aimed to investigate the effect of warehousing on supply chain performance: A case of Inyange Industries Ltd. The goals were to evaluate how inventory management, warehouse capacity building, and material handling affects supply chain performance in Inyange Industries Ltd. This research experimented with three different theories: Just-in-time, Lean, and Triple-A supply chain. The population of this study were 105 staff members of Inyange Industries Ltd. Therefore, census was conducted because the population size is affordable and the researcher can be able to contact all the respondents. Quantitative data were analyzed using inferential research methodology in this study. Questionnaires were used to gather primary data, which was then analyzed. Data analysis was carried out using the Statistical Package for the Social Sciences (SPSS), and descriptive and inferential statistics were used to show the study's results. According to the research, supply chain performance is positively and significantly affected by both automated and manual material handling. Mechanical material handling, on the other hand, improves supply chain performance, but not much. Inyange Industries' supply chain performance is influenced by the material handling systems to the tune of 19.3%, as shown by the modified R2 value of 0.193. According to the research, supply chain performance is positively and significantly affected by inventory counts, warehouse management systems, and inventory organization. A 0.967 adjusted R^2 value suggests that 96.7% of the variation in Inyange Industries' supply chain performance is explained by the inventory management techniques. According to the research, supply chain effectiveness is positively and significantly impacted by warehouse demand planning, design, and management. Warehouse capacity planning techniques at Inyange Industries account for 95.4% of the variation in supply chain performance, as shown by the modified R2 value of 0.954. The research concluded that material handling, inventory management, and warehouse capacity planning are all important warehouse management measures that significantly impact supply chain performance for the better. The methods used by Inyange Industries Ltd. for managing their warehouses have resulted in an improvement in supply chain performance of 87.2%. The regression coefficients, supported by their t-test values and Beta coefficients, highlight both the significance and strength of relationships between independent and dependent variables. Material Handling demonstrated the greatest impact (β1=0.532, t=8.556, p=0.000), followed by Inventory Management (β2=0.379, t=6.147, p=0.000), and Warehouse Capacity Planning (β3=0.172, t=3.268, p=0.002), emphasizing their respective contributions to Supply Chain Performance of Inyange Industries Ltd.'s supply chain. This proved that material handling in warehouse management has a major influence on supply chain performance. Because the p-value was lower than 5%, we may say that the association is statistically significant. The research concluded that both automated and human material handling should get additional funding. To maximize efficiency in stock-taking as well. Previous studies have looked at a variety of organizational factors that affect performance of supply chains. To further understand how warehouse management strategies affect overall performance, more research is needed.

During COVID-19, supply chain (SC) mapping has appeared as one of the critical supply chain capabilities that could make a striking difference in organisations’ supply chain performance. Despite its crucial role in responding to SC disruptions, there is a void in the literature on this topic. In this context, the prime objective of the current study is to introduce a comprehensive measure of SC mapping accounting for its various dimensions. A review of the literature is conducted to identify the relevant dimensions and sub-dimensions of SC mapping. Next, two rounds of focused group discussions are conducted in order to refine the identified dimensions and to add any relevant dimensions of SC mapping. Third, we employ exploratory factor analysis to develop the construct of SC mapping. The findings reveal that SC mapping has three major dimensions, namely upstream mapping, downstream mapping, and midstream mapping, with a total 25 items. The developed construct can be used to operationalise the SC mapping and to examine its antecedents and precedents.

Increasingly diversified consumer needs force market players into a competitive situation where the optimal design and operation of the entire supply chain becomes essential for survival and economic efficiency. This can only be achieved if the elements of the supply chain can respond to changing environmental conditions as quickly as possible. One of the biggest challenges to the optimal operation of supply chains, as a consequence of globalization, is uncertainty. In recent years, we have witnessed how a natural disaster or a pandemic can cause significant disruptions in the operation of supply chains, compelling companies to recognize the importance of stable supply chains. This article examines the impact of these uncertainty factors on the operation of supply chains and aims to explore the possibilities for identifying and managing risks.

This study analyzes the publication trend, most active contributors, most influential publications and trending research topics on the current context of carbon footprint and supply chains. The study conducted a bibliometric analysis of 809 documents retrieved from Scopus, published between 2019 and 2023, to identify trends, contributors, top publications, and trending topics. With the help of Harzing’s Publish or Perish and VOSviewer, the study employed performance analysis and keyword co-occurrence analysis. The study reveals an upward trajectory in the number of publications in this research domain. Additionally, the study identifies several themes through keyword co-occurrence analysis, including ‘the application of regulatory mechanisms and game theory in carbon emission reductions,’ ‘strategies and mechanisms for enhancing low-carbon initiatives within supply chains,’ ‘the development and optimization of sustainable supply chain systems to reduce carbon emissions,’ ‘the use of simulation and optimization models for CO2 emission reduction in supply chain and logistics operations,’ ‘financial legislation and mechanisms for improving carbon emission reductions,’ ‘the impact of logistics and supply chain operations on carbon emissions and climate change,’ and ‘the carbon footprint in supply chains and cold chain logistics operations.’ This review emphasizes the need of adopting low-carbon technologies to enhance sustainable practices within supply chains. The study highlights the role of advanced technologies in efforts linked to carbon reduction. The study also advocates for a multifaceted policy approach, including encouraging innovation, and implementing financial mechanisms to reduce carbon emissions, especially in logistics and supply chain operations.

The aim of this research is to propose a model that relates information technology (IT) investments, supply chain governance (SCG) and performance together. For this purpose, a pilot study involving both a qualitative and a quantitative stage was conducted. The qualitative analysis, consisting of an extensive literature review and two case studies conducted in six major, globally-relevant Brazilian companies, led to the development of an initial model. This model was refined during the quantitative stage that involved 38 executives from large national companies. IT was found to be one of the main drivers of SCG influencing companies' supply chain performance. The final model consists of 5 constructs and 26 elements. Regarding the SCG constructs: (a) a new element 'formal contracts', emerged in the 'contractual SCG' construct; (b) the element 'cooperation' was not confirmed in the 'relational SCG' construct; (c) the element 'transparency' was considered an important element in the 'transactional SCG' construct. Five new elements emerged in the 'IT investment' construct. Market aspects were highlighted as being relevant in the 'supply chain performance' construct. Thus, the model includes elements that can be analyzed in order to shed light on how IT investments influence SCG and supply chain performance.