Antecedents and outcomes of supply chain management in Bangladesh

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.

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Understanding supply chain analytics capabilities and agility for data-rich environments

International Journal of Operations & Production Management ◽

10.1108/ijopm-01-2019-0025 ◽

2019 ◽

Vol 39 (6/7/8) ◽

pp. 887-912 ◽

Cited By ~ 7

Author(s):

Samuel Fosso Wamba ◽

Shahriar Akter

Keyword(s):

Big Data ◽

Supply Chain ◽

Supply Chain Management ◽

Structural Equation ◽

Equation Modeling ◽

Future Research ◽

Chain Management ◽

Content Type ◽

Supply Chain Agility ◽

The Usa

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.

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The effect of organizational culture on supply chain management in uncertain environments

Asia Pacific Journal of Marketing and Logistics ◽

10.1108/apjml-04-2018-0159 ◽

2019 ◽

Vol 31 (4) ◽

pp. 1003-1026 ◽

Cited By ~ 3

Author(s):

Hyunjung Sung ◽

Seogsoo Kim

Keyword(s):

Organizational Culture ◽

Supply Chain ◽

Supply Chain Management ◽

Structural Equation ◽

Group Analysis ◽

Equation Modeling ◽

Organizational Cultures ◽

Chain Management ◽

Content Type ◽

The Impact

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.

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Ethical judgments in supply chain management: a scenario analysis

Journal of Business and Industrial Marketing ◽

10.1108/jbim-07-2014-0148 ◽

2016 ◽

Vol 31 (1) ◽

pp. 59-69

Author(s):

Byoung-Chun Ha ◽

Hyunjeong Nam

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Inventory Management ◽

Structural Equation ◽

Ethical Judgment ◽

Equation Modeling ◽

Supply Chain Collaboration ◽

Chain Management ◽

Ethical Judgments ◽

Content Type

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.

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Building theory of green supply chain management for the chemical industry

Management of Environmental Quality An International Journal ◽

10.1108/meq-11-2019-0239 ◽

2020 ◽

Vol 31 (5) ◽

pp. 1285-1308 ◽

Cited By ~ 1

Author(s):

Shohanuzzaman Shohan ◽

Syed Mithun Ali ◽

Golam Kabir ◽

S.K. Kafi Ahmed ◽

Tasmiah Haque ◽

...

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Chemical Industry ◽

Structural Equation ◽

Green Supply Chain Management ◽

Green Supply Chain ◽

Equation Modeling ◽

Interpretive Structural Modeling ◽

Chain Management ◽

Content Type

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.

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A model for examining the effect of knowledge sharing and new IT-based technologies on the success of the supply chain management systems

Kybernetes ◽

10.1108/k-06-2018-0280 ◽

2019 ◽

Vol 49 (2) ◽

pp. 229-251 ◽

Cited By ~ 7

Author(s):

Habibeh Zeraati ◽

Lila Rajabion ◽

Homa Molavi ◽

Nima Jafari Navimipour

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Knowledge Sharing ◽

Radio Frequency Identification ◽

Structural Equation ◽

Near Field ◽

Equation Modeling ◽

Chain Management ◽

Content Type ◽

The Social

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.

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Supply chain cooperation as a green supply chain management implementation strategy to achieve competitive advantages in natural disaster prone regions

Competitiveness Review An International Business Journal incorporating Journal of Global Competitiveness ◽

10.1108/cr-10-2016-0067 ◽

2018 ◽

Vol 28 (5) ◽

pp. 564-583 ◽

Cited By ~ 1

Author(s):

Abednico Lopang Montshiwa

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Automobile Industry ◽

Implementation Strategies ◽

Green Supply Chain Management ◽

Green Supply Chain ◽

Competitive Advantages ◽

Chain Management ◽

Content Type ◽

Implementation Tool

Purpose This study aims to present a competitive advantages framework suited for disaster prone regions in the era of climate change, present supply chain cooperation (SCC) as an integral part of GrSCM within the automobile industry and evaluate the competitive advantages framework merits based on SCC as a new implementation tool. Design/methodology/approach In an effort to address limited green supply chain management implementation strategies in disaster prone regions, the paper presents SCC as an economic, social and political implementation tool. To explore this; the study introduces SCC in a three-phase competitive advantages model adopted from the Barney 1995 model (with slight differences). Smart PLS 3.0 software package was adopted to carry out multi-variable data analysis. The study’s assumption is a capital economic system and bases its argument of analysis on stockholder theoretical lenses. Findings Big company size does not significantly affect SCC, suggesting that companies of all size can organize and enhance their network to be cooperative. Companies with cooperative supply chain network tend to have competitive advantages. SCC is also a viable way to manage business risks, be there internal or external. Research limitations/implications One of the study’s limitation is the stockholder theory it adopts, which shoulders its assumptions on a capital economic model of operation. Indeed, the study covered China, which is seen to be a communist-based economy. Another study’s limitation is that it narrows its data collection to disaster prone areas as documented by Guha-Sapir et al. (2012). Consequently, the findings of this study might be only applicable to areas that experience significant level of disruptions usually caused by disaster incidents. Originality/value The study is also the first of its kind to propose a model for automobile manufacturing in disaster prone regions. This is done by introducing SCC as an economic, social and political factor, while risk ranking is introduced as an environmental factor to constitute the external changes that Barney 1995 introduced.

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SUPPLY CHAIN INTEGRATION AND SUPPLY CHAIN PERFORMANCE: THE ROLE OF KNOWLEDGE SHARING AS A MEDIATOR

International Journal of Management Studies ◽

10.32890/ijms.26.2.2019.10518 ◽

2020 ◽

Author(s):

Rosmah Mat Isa ◽

Mohammad Ahmed Mohammad Al Dweiri

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Knowledge Sharing ◽

Structural Equation ◽

Supply Chain Integration ◽

Equation Modeling ◽

Supply Chain Performance ◽

Chain Management ◽

Supplier Integration

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.

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The role of supply chain management on Indonesian small and medium enterprise competitiveness and performance

Uncertain Supply Chain Management ◽

10.5267/j.uscm.2021.10.005 ◽

2022 ◽

Vol 10 (1) ◽

pp. 109-116 ◽

Cited By ~ 1

Author(s):

Hwihanus Hwihanus ◽

Oscarius Yudhi Ari Wijaya ◽

Diah Rani Nartasari

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Competitive Advantage ◽

Significant Influence ◽

Structural Equation ◽

Quantitative Methods ◽

Sample Selection ◽

Equation Modeling ◽

Company Performance ◽

Chain Management

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.

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Comprehensive supply chain management model

Supply Chain Management An International Journal ◽

10.1108/scm-12-2018-0441 ◽

2019 ◽

Vol 24 (5) ◽

pp. 590-603 ◽

Cited By ~ 6

Author(s):

Kenneth W. Green ◽

R. Anthony Inman ◽

Victor E. Sower ◽

Pamela J. Zelbst

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Organizational Performance ◽

Market Orientation ◽

Management Practices ◽

Equation Modeling ◽

Total Quality ◽

Chain Management ◽

Content Type ◽

Improvement Programs

Purpose The purpose of this paper is to develop and empirically assess a comprehensive operations and supply chain management (SCM) model. The theorized model incorporates supply chain market orientation, Just-in-Time (JIT) and Total Quality Management (TQM) as antecedents and agile production (AP) and green SCM (GSCM) practices as consequences. Design/methodology/approach Data from a sample of 136 US manufacturing managers were collected via an on-line survey firm. A partial least squares structural equation modeling is used to assess the efficacy of the theorized model. Findings Generally, market orientation supports the implementation of JIT and TQM, JIT and TQM support implementation of SCM, SCM supports implementation of AP and green supply chain management practices (GSCMP) and AP and GSCMP positively impact organizational performance. Research limitations/implications The model tested reflects the synergy created though the implementation of management improvement programs that support the six strategic imperatives of customer focus, efficiency, effectiveness, integration with supply chain partners, responsiveness, and environmental sustainability and the effects of those programs on the marketing and financial performance of manufacturing organizations. Practical implications The theorized model and results provide practicing managers with a blueprint for the systematic implementation of the improvement programs. Originality/value A comprehensive operations and SCM model is proposed and empirically assessed. The results of this investigation support the proposition that market orientation, JIT, TQM, SCM, AP and GSCMPs combine to positively affect organizational performance. The central role of the SCM construct is emphasized.

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The effects of green supply chain management on the supplier’s performance through social capital accumulation

Supply Chain Management An International Journal ◽

10.1108/scm-01-2014-0009 ◽

2015 ◽

Vol 20 (1) ◽

pp. 42-55 ◽

Cited By ~ 48

Author(s):

Su-Yol Lee

Keyword(s):

Social Capital ◽

Supply Chain ◽

Supply Chain Management ◽

Capital Accumulation ◽

Green Supply Chain Management ◽

Operational Performance ◽

Green Supply Chain ◽

Equation Modeling ◽

Chain Management ◽

Content Type

Purpose – This paper aims to examine the effects of green supply chain management (GSCM) on environmental and operational performances with a perspective of social capital accumulation in the supply chain. The roles of structural capital and relational social capital in GSCM were empirically explored. Design/methodology/approach – A research model was developed to investigate the effects of GSCM on a supplier’s environmental and operational performances through structural and relational social capitals. Using an exploratory factor analysis, the study identified the structural and relational dimensions of social capital and the environmental and operational performance dimensions of supplier’s performance. The hypotheses were tested on data of 207 responses collected from supplying firms in South Korea, using structural equation modeling. Findings – The paper finds that GSCM contributes to the environmental and operational performance improvements of the supply chain through social capital accumulation. Relational capital, in particular, plays a more important pivoting role in the relationships between GSCM and environmental and operational performances. Practical implications – The findings of this paper provide useful insights about how supply chain members should integrate environmental issues into supply chain management practices that would enhance social capital accumulation to foster stronger operational and environmental performances throughout the entire supply chain. Originality/value – This research is one of the few studies that explore the effects of GSCM on performance by explicitly considering social capital as an important intervening variable. By applying social capital theory, this study provides theoretical underpinning for furthering the GSCM literature.

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