Ethical judgments in supply chain management: a scenario analysis

2016 ◽  
Vol 31 (1) ◽  
pp. 59-69
Author(s):  
Byoung-Chun Ha ◽  
Hyunjeong Nam

Purpose – The purpose of this study is to empirically analyze managers’ ethical judgments in supply chain management. It investigated the influence of those judgments on trust and collaboration in relationships with suppliers. Design/methodology/approach – A scenario-based method was applied to measure managers’ ethical judgments using a sample of 341 data sets collected via survey. Structural equation modeling was utilized to test the proposed hypotheses associating ethical judgments with trust and collaboration in supply chains. Findings – This study illustrates that managers’ ethical judgments in bidding/contracting, information management and inventory management significantly increase trust, which in turn increases supply chain collaboration. Originality/value – The study extends our understanding of ethical judgments in the supply chain management context. Its findings on the causality among ethical judgment, trust and supply chain collaboration provide an effective approach to the management of supplier relationships.

2019 ◽  
Vol 1 (1) ◽  
pp. 68-87 ◽  
Author(s):  
Mohammed Belal Uddin ◽  
Bilkis Akhter

PurposeThe purpose of this paper is to investigate the institutional and significant competences that have allowed organizations to employ supply chain management (SCM) practices, the practices of SCM and the benefits of SCM practices for both buyers and suppers.Design/methodology/approachA theoretical model (including hypotheses) has been proposed regarding antecedents, SCM practices and outcomes of SCM. Using purposive sampling method, data were collected from different manufacturing, distributing, wholesaling and retailing organizations. Collected data were analyzed in a principal component analysis and structural equation modeling, including confirmatory factor analysis, and path analysis.FindingsThe empirical results provided supportive evidences in favor of the hypotheses and theoretical arguments except one hypothesis. This study did not a find positive relationship between organizational compatibility and SCM practices. The study found relationships between mutual trust and SCM practices, communication and SCM practices, and cooperation and SCM practices, which were positive and significant. Again, the relationships between SCM practices and competitive advantages, and SCM practices and long-term orientation and growth were also positive and significant.Practical implicationsPractitioners could also use the findings to align SCM with business strategy and gain an insight for better utilization of the available resources and technology to perform better.Originality/valueThis study will provide guidance as to the preconditions that need to be in place in order for a company to implement SCM with its suppliers and customers. It will remind practitioners to stay focused on the ultimate goals of SCM – lower costs, increased customer value and satisfaction, and, ultimately, competitive advantage.


2019 ◽  
Vol 39 (6/7/8) ◽  
pp. 887-912 ◽  
Author(s):  
Samuel Fosso Wamba ◽  
Shahriar Akter

Purpose Big data-driven supply chain analytics capability (SCAC) is now emerging as the next frontier of supply chain transformation. Yet, very few studies have been directed to identify its dimensions, subdimensions and model their holistic impact on supply chain agility (SCAG) and firm performance (FPER). Therefore, to fill this gap, the purpose of this paper is to develop and validate a dynamic SCAC model and assess both its direct and indirect impact on FPER using analytics-driven SCAG as a mediator. Design/methodology/approach The study draws on the emerging literature on big data, the resource-based view and the dynamic capability theory to develop a multi-dimensional, hierarchical SCAC model. Then, the model is tested using data collected from supply chain analytics professionals, managers and mid-level manager in the USA. The study uses the partial least squares-based structural equation modeling to prove the research model. Findings The findings of the study identify supply chain management (i.e. planning, investment, coordination and control), supply chain technology (i.e. connectivity, compatibility and modularity) and supply chain talent (i.e. technology management knowledge, technical knowledge, relational knowledge and business knowledge) as the significant antecedents of a dynamic SCAC model. The study also identifies analytics-driven SCAG as the significant mediator between overall SCAC and FPER. Based on these key findings, the paper discusses their implications for theory, methods and practice. Finally, limitations and future research directions are presented. Originality/value The study fills an important gap in supply chain management research by estimating the significance of various dimensions and subdimensions of a dynamic SCAC model and their overall effects on SCAG and FPER.


2019 ◽  
Vol 31 (4) ◽  
pp. 1003-1026 ◽  
Author(s):  
Hyunjung Sung ◽  
Seogsoo Kim

Purpose The purpose of this paper is to investigate the impact of environmental uncertainty (EU) on supply chain management (SCM) in Korea, and assess the moderating role of organizational culture. Design/methodology/approach Quantitative data analysis was conducted on data that were collected from 125 Korean manufacturing firms listed on the Korean Stock Exchange. First, structural equation modeling was employed to test the hypothesized paths. Second, multi-group analysis was used to explore the possibility of differences between groups with diverse organizational cultures. Before testing the measurement model, confirmatory factor analysis was run to test the reliability and validity of the measurement items. Findings The findings indicate that all the hypotheses on the relationships between EU, SCM antecedents and SCM activities are supported except the relationship between commitment and cooperation. The outcome of the multi-group analysis shows that the impact of EU on SCM antecedents varies across organizational cultures. Originality/value This study proposes managerial guidelines for implementing effective SCM in response to EU and emphasize that these are consistent with organizational culture.


2020 ◽  
Vol 31 (5) ◽  
pp. 1285-1308 ◽  
Author(s):  
Shohanuzzaman Shohan ◽  
Syed Mithun Ali ◽  
Golam Kabir ◽  
S.K. Kafi Ahmed ◽  
Tasmiah Haque ◽  
...  

PurposeIn Bangladesh, the chemical industry is one of the expanding industries based on current statistical data analysis. Green supply chain management (GSCM) is pivotal in order to compete with the global competition. This paper main aim is to discuss a systematic approach to build a structural outline. The purpose of the proposed structural outline is to predict the constructive implementation of GSCM especially on chemical industry in Bangladesh.Design/methodology/approachThis proposed structural framework evaluates the suitable interrelationship next to the barriers of GSCM in the Bangladesh's chemical industry. Here, on the basis of literature review and survey from expert opinions by the use of the Delphi methodology in total eight barriers were concluded. Here additionally, MICMAC analyses were applied to determine the driving and dependence power. Furthermore, the frameworks outline for the barriers were included by means of total interpretive structural modeling (TISM) method.FindingsBased on the analysis, the most significant barriers were found lack of supporting laws and guidance from the government and cost of disposal of hazardous products.Research limitations/implicationsThe TISM technique only has implemented to develop the framework, whereas other tools or structural equation modeling (SEM) technique can be used to develop and validate the frameworks for barriers.Originality/valueIn this research, Delphi method questionnaire generated based on the GSCM in the Bangladesh chemical sector. This study will assist the industrial managers to assess and evaluate the crucial sectors, whereas they should give priority to apply the GSCM in the Bangladesh chemical industry.


Kybernetes ◽  
2019 ◽  
Vol 49 (2) ◽  
pp. 229-251 ◽  
Author(s):  
Habibeh Zeraati ◽  
Lila Rajabion ◽  
Homa Molavi ◽  
Nima Jafari Navimipour

PurposeThis research specifies the factors impacting on the success of supply chain management (SCM) systems in the organizations. This paper aims to assess the effect of knowledge sharing, the vehicular ad hoc network (VANET), radio frequency identification technology (RFID) and near field communications (NFC) and the social capabilities of information technology (IT) and information and communication technology (ICT)on the success of the SCM systems and the simplification of the SCM challenges and other factors affecting its success.Design/methodology/approachA questionnaire is designed for measuring the elements of the proposed model. The questionnaires are revised by experts with experiences in SCM. For statistical analysis, SPSS 24.0 and SMART- PLS (partial least squares) 3.2.6 software package are used. The structural equation modeling (SEM) analysis procedure is conducted in two stages. The reliability analysis and confirmatory factor for analyzing the dimensions and items are included in the first stage. The second stage involves evaluating the assumptions through the SEM.FindingsThe results have depicted that four variables (knowledge sharing, VANET, RFID and NFC, and the social capabilities of using IT) affect the success of SCM systems.Originality/valueThis research specifies the factors impacting on the success of SCM in the organizations. These technologies aid companies in improving their performance in the SCM and facilitating coherence and collaboration.


2021 ◽  
Vol 9 (3) ◽  
pp. 32-42
Author(s):  
Marisol Valencia-Cárdenas ◽  
Jorge Anibal Restrepo-Morales ◽  
Francisco Javier Día-Serna

Importance and impact of the systems related to Agribusiness and Agri-food, are increasing around the world and demand a paramount attention. Collaboration in the inventory management is an integral part of the supply chain management, related to proactive integration among the chain actors facilitating production and supply, in especial in the agroindustrial sector of the Departamento de Antioquia, Colombia. This research establishes the main relationships between latent variables as collaboration, technology, models, optimization and inventory management, based on a literature review and applying a Structural Equation Model to a survey data of a sample of agribusiness companies. The results show that Available Technologies associated with Big Data, generates improvement of Collaboration Strategies, improving also Forecasting and Optimization; besides, Inventory Planning and Collaboration are related to Available Technologies associated with Big Data. A Poisson regression model and a Structural Equation Model estimations detect that the increasing strategies of technologies and Big Data are favorable to apply collaboration in the supply chain management, increasing possibilities to the enterprise competitiveness.


Author(s):  
Rosmah Mat Isa ◽  
Mohammad Ahmed Mohammad Al Dweiri

The purpose of this paper is to examine the mediating role of knowledge sharing in the relationship between supply chain integration and supply chain performance. This study used a survey questionnaire for a sample size of 277 managers from various sectors in the manufacturing industry in Jordan.  This study utilised PLS Structural Equation Modeling for testing the hypothesis.  The finding indicates a significant positive relationship between supply chain integration and supply chain performance and that knowledge sharing plays partial mediation in this relationship. This study provides an important implication on the role of knowledge sharing. The performance of the supply chain can be maximised if the supply chain partners share knowledge among them. This will expedite the process of delivering the products to the customers.  Awareness among partners on the importance to share and utilise knowledge better should be raised. The study contributes to the research on supply chain management by advancing the understanding of the role of knowledge sharing that can increase the performance of the supply chain partners.   Keywords: Supply chain integration, supply chain management, knowledge sharing, supply chain performance, supplier integration.


2022 ◽  
Vol 10 (1) ◽  
pp. 109-116 ◽  
Author(s):  
Hwihanus Hwihanus ◽  
Oscarius Yudhi Ari Wijaya ◽  
Diah Rani Nartasari

The purpose of this study is to analyze the effect of supply chain management on competitive advantage in SMEs, the effect of competitive advantage on company performance in SMEs, and the influence of supply chain management on company performance mediated by competitive advantage in SMEs. This study uses quantitative methods and data analysis techniques based on Structural Equation Modeling using SmartPLS 3.0 software. The sample selection method uses non-probability sampling methods. Online questionnaires were sent to 340 SMEs respondents, the next step is to evaluate the returned 320 questionnaires. The results indicate that supply chain management had a significant influence on company performance and competitive advantage. Competitive Advantage also had a significant influence on company performance and played a mediate influence between supply chain management and company performance. The company's ability had a positive effect on competitive advantage and finally, adequate company capabilities had an impact on competitive advantage.


2018 ◽  
pp. 1181-1207 ◽  
Author(s):  
Rajwinder Singh ◽  
H.S. Sandhu ◽  
B.A. Metri ◽  
Rajinder Kaur

Supply chain is the process of continuous flow of products or services from source to the destination. Supply chain management has become an effective tool now a day to survive in this competitive world. Organizations do their best to harvest profits by adopting better supply chain management practices for competitive advantage and organizational performance. In this paper an attempt has been made to understand the relationship among supply chain practices, competitive advantage, and organizational performance using structural equation modelling. This research conceptualizes and develops five secondary dimensions of supply chain practices (Use of technology, SC speed, Customer satisfaction, SC integration, and Inventory management). The research also identifies four primary competitive advantage components (Inventory management, Customer satisfaction, Profitability, and Customer base identification) and six primary organizational performance components (Financial Performance, Market performance, SC competencies, Customer satisfaction, Stakeholder satisfaction, and Innovation and learning). The data for analysis was collected from top 10 non-livestock organized retail players operating in Punjab, Haryana, Chandigarh, New Delhi and, Gurgaon in India. The relationships in the proposed framework were tested using structural equation modelling. The results indicate that Indian retailers know that competitive advantage has high impact on SCP but they have less understanding in matching SCP and competitive advantage with organizational performance.


2018 ◽  
pp. 871-897
Author(s):  
Rajwinder Singh ◽  
H.S. Sandhu ◽  
B.A. Metri ◽  
Rajinder Kaur

Supply chain is the process of continuous flow of products or services from source to the destination. Supply chain management has become an effective tool now a day to survive in this competitive world. Organizations do their best to harvest profits by adopting better supply chain management practices for competitive advantage and organizational performance. In this paper an attempt has been made to understand the relationship among supply chain practices, competitive advantage, and organizational performance using structural equation modelling. This research conceptualizes and develops five secondary dimensions of supply chain practices (Use of technology, SC speed, Customer satisfaction, SC integration, and Inventory management). The research also identifies four primary competitive advantage components (Inventory management, Customer satisfaction, Profitability, and Customer base identification) and six primary organizational performance components (Financial Performance, Market performance, SC competencies, Customer satisfaction, Stakeholder satisfaction, and Innovation and learning). The data for analysis was collected from top 10 non-livestock organized retail players operating in Punjab, Haryana, Chandigarh, New Delhi and, Gurgaon in India. The relationships in the proposed framework were tested using structural equation modelling. The results indicate that Indian retailers know that competitive advantage has high impact on SCP but they have less understanding in matching SCP and competitive advantage with organizational performance.


Sign in / Sign up

Export Citation Format

Share Document