scholarly journals Impact of big data and predictive analytics capability on supply chain sustainability

2018 ◽  
Vol 29 (2) ◽  
pp. 513-538 ◽  
Author(s):  
Shirish Jeble ◽  
Rameshwar Dubey ◽  
Stephen J. Childe ◽  
Thanos Papadopoulos ◽  
David Roubaud ◽  
...  
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Theoretical Model ◽  
Performance Measures ◽  
Structural Equation ◽  
Predictive Analytics ◽  
Equation Modeling ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
The Impact

PurposeThe purpose of this paper is to develop a theoretical model to explain the impact of big data and predictive analytics (BDPA) on sustainable business development goal of the organization.Design/methodology/approachThe authors have developed the theoretical model using resource-based view logic and contingency theory. The model was further tested using partial least squares-structural equation modeling (PLS-SEM) following Peng and Lai (2012) arguments. The authors gathered 205 responses using survey-based instrument for PLS-SEM.FindingsThe statistical results suggest that out of four research hypotheses, the authors found support for three hypotheses (H1-H3) and the authors did not find support forH4. Although the authors did not find support forH4(moderating role of supply base complexity (SBC)), however, in future the relationship between BDPA, SBC and sustainable supply chain performance measures remain interesting research questions for further studies.Originality/valueThis study makes some original contribution to the operations and supply chain management literature. The authors provide theory-driven and empirically proven results which extend previous studies which have focused on single performance measures (i.e. economic or environmental). Hence, by studying the impact of BDPA on three performance measures the authors have attempted to answer some of the unresolved questions. The authors also offer numerous guidance to the practitioners and policy makers, based on empirical results.

Understanding big data-driven supply chain and performance measures for customer satisfaction

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ramadas Thekkoote
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Customer Satisfaction ◽  
Performance Measures ◽  
Data Driven ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Content Type ◽  
Different Dimensions ◽  
The Impact

PurposeSupply chain analytics with big data capability are now growing to the next frontier in transforming the supply chain. However, very few studies have identified its different dimensions and overall effects on supply chain performance measures and customer satisfaction. The aim of this paper to design the data-driven supply chain model to evaluate the impact on supply chain performance and customer satisfaction.Design/methodology/approachThis research uses the resource-based view, emerging literature on big data, supply chain performance measures and customer satisfaction theory to develop the big data-driven supply chain (BDDSC) model. The model tested using questionnaire data collected from supply chain managers and supply chain analysts. To prove the research model, the study uses the structural equation modeling technique.FindingsThe results of the study identify the supply chain performance measures (integration, innovation, flexibility, efficiency, quality and market performance) and customer satisfaction (cost, flexibility, quality and delivery) positively associated with the BDDSC model.Originality/valueThis paper fills the significant gap in the BDDSC on the different dimensions of supply chain performance measures and their impacts on customer satisfaction.

Sustainability knowledge and training: outcomes and firm performance

2019 ◽  
Vol 30 (2) ◽  
pp. 294-311 ◽  
Author(s):  
Laura M. Birou ◽  
Kenneth W. Green ◽  
R. Anthony Inman
Keyword(s):  
Supply Chain ◽  
Firm Performance ◽  
Structural Equation ◽  
Green Manufacturing ◽  
Equation Modeling ◽  
Organizational Sustainability ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
The Impact ◽  
And Training

Purpose The purpose of this paper is to examine the impact of sustainability training and knowledge on sustainable supply chain practices (SSCP) and the resulting impact on sustainable supply chain outcomes (SSCO) and firm performance. It also provides a valid and reliable measure of SSCO. Design/methodology/approach Data collected from 129 manufacturing managers are analyzed using a partial least squares structural equation modeling methodology. Manufacturing managers provide data reflecting the degree to which their organizations improved sustainability training and knowledge, utilize SSCP, the degree to which SSCO result, and the subsequent operational performance (OPP) and environmental economic performance (EEP). Findings Organizational sustainability training and knowledge positively impacts SSCP, and the utilization of SSCP results in SSCO which favorably impact OPP and EEP. Research limitations/implications The study is limited to manufacturing organizations. Practical implications Practitioners are encouraged to improve organizational learning and training and are provided with a valid and reliable scale for measuring the outcomes of their sustainable practices. Combined with the work of others, this provides a framework for evaluating different aspects of sustainability with a firm. Social implications Improved green manufacturing practices improves the environment by eliminating all forms of waste and provides eco-friendly products and services. Originality/value A sustainable supply chain training and knowledge model is proposed and empirically assessed. The results of this investigation support the proposition that sustainability training and knowledge support the implementation of sustainability supply chain practices which, in turn, improve sustainability outcomes and operational and EEP.

Analyzing the post-harvest supply chain enablers of vertical integration for rural employability and marketability

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rahul Priyadarshi ◽  
Srikanta Routroy ◽  
Girish Kant
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Vertical Integration ◽  
Rural Areas ◽  
Structural Equation ◽  
Equation Modeling ◽  
Value Addition ◽  
Content Type ◽  
Post Harvest ◽  
The Impact

Purpose The purpose of this study is to analyze the post-harvest supply chain enablers (PHSCEs) for vertical integration to enhance rural employability, farmer profitability and rural produce marketability (i.e. market prospects) in the post-harvest supply chain (PHSC). The impact of vertical integration is also explored for various commercial produces. Design/methodology/approach A structural equation modeling (SEM) of PHSCEs for vertical integration was developed to enhance market prospects, rural employability and farmer profitability. The impact of business-to-business (B2B) and business-to-customer market prospects are explored in various dimensions for stakeholders such as farmers, manufacturers (processors), distributors and retailers. The fuzzy technique for order of preference by similarity to ideal solution (F-TOPSIS) was used to prioritize these PHSCEs to improve market prospects and rural employability. Findings The PHSCEs are clustered into three groups, namely, initiatives at the strategic frontier, initiatives at the tactical frontier and concerns for rural employability via vertical integration using exploratory factor analysis, confirmatory factor analysis and SEM to prove the null hypothesis. With F-TOPSIS results, the availability of warehousing was found to be the most crucial enabler when observing the PHSCEs from the initiatives’ perspective. The technology adaptability and availability, institute for training and research and information infrastructure and information visibility were found to be the key PHSCEs when observed from PHSC stakeholders’ perspectives. Research limitations/implications The implementation of this study will improve the rural produce marketability, rural employability, B2B marketing (i.e. effective distribution) and subsequent value chains with the practice of vertical integration for fresh produce at the rural level. Practical implications The outcomes of this study have a key role in developing the rural regions and improving rural livelihoods via value addition. The awareness of commercial cultivation and value addition in rural areas needs to be improved. This will help farmers to earn better revenues with improved market prospects in comparison to the revenues obtained from the cultivation of staple/conventional crops. Originality/value In an era of cold chains and food processing, this study aims to disseminate awareness about value addition for commercial and fresh produces at the rural level. The implication of this study will improve rural produce marketability, rural employability and farmer profitability at the rural level with the level of vertical integration.

A structural equation model for big data adoption in the healthcare supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dindayal Agrawal ◽  
Jitender Madaan
Keyword(s):  
Factor Analysis ◽  
Big Data ◽  
Supply Chain ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Data Governance ◽  
Social Perspective ◽  
Content Type

PurposeThe purpose of this study is to examine the barriers to the implementation of big data (BD) in the healthcare supply chain (HSC).Design/methodology/approachFirst, the barriers concerning BD adoption in the HSC were found by conducting a detailed literature survey and with the expert's opinion. Then the exploratory factor analysis (EFA) was employed to categorize the barriers. The obtained results are verified using the confirmatory factor analysis (CFA). Structural equation modeling (SEM) analysis gives the path diagram representing the interrelationship between latent variables and observed variables.FindingsThe segregation of 13 barriers into three categories, namely “data governance perspective,” “technological and expertise perspective,” and “organizational and social perspective,” is performed using EFA. Three hypotheses are tested, and all are accepted. It can be concluded that the “data governance perspective” is positively related to “technological and expertise perspective” and “organizational and social perspective” factors. Also, the “technological and expertise perspective” is positively related to “organizational and social perspective.”Research limitations/implicationsIn literature, very few studies have been performed on finding the barriers to BD adoption in the HSC. The systematic methodology and statistical verification applied in this study empowers the healthcare organizations and policymakers in further decision-making.Originality/valueThis paper is first of its kind to adopt an approach to classify barriers to BD implementation in the HSC into three distinct perspectives.

The impact of information security initiatives on supply chain robustness and performance: an empirical study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sindhuja P.N.
Keyword(s):  
Supply Chain ◽  
Information Security ◽  
Supply Chains ◽  
Structural Equation ◽  
Essential Element ◽  
Equation Modeling ◽  
Content Type ◽  
And Performance ◽  
The Impact ◽  
Supply Chain Robustness

Purpose Information security is an essential element in all business activities. The damage to businesses from information security breaches has become pervasive. The scope of information security has widened as information has become a critical supply chain asset, making it more important to protect the organization’s data. Today’s global supply chains rely upon the speedy and robust dissemination of information among supply chain partners. Hence, processing of accurate supply chain information is quintessential to ensure the robustness and performance of supply chains. An effective information security management (ISM) is deemed to ensure the robustness of supply chains. The purpose of the paper is to examine the impact of information security initiatives on supply chain robustness and performance. Design/methodology/approach Based on extant literature, a research model was developed and validated using a questionnaire survey instrument administered among information systems/information technology managers. Data collected were analyzed using exploratory and confirmatory factor analysis. Further, to test the hypotheses and to fit the theoretical model, Structural equation modeling techniques were used. Findings Results of this study indicated that information security initiatives are positively associated with supply chain robustness and performance. These initiatives are likely to enhance the robustness and performance of the supply chains. Originality/value With the advancements in internet technologies and capabilities as well as considering the dynamic environment of supply chains, this study is relevant in terms of the capability that an organization needs to acquire with regards to ISM. Benefiting from the resource dependency theory, information security initiatives could be considered as a critical resource having an influence on the internal and external environment of supply chains.

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

2019 ◽  
Vol 39 (6/7/8) ◽  
pp. 887-912 ◽  
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.

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

2019 ◽  
Vol 31 (4) ◽  
pp. 1003-1026 ◽  
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.

Developing a reverse logistics competency

2016 ◽  
Vol 46 (3) ◽  
pp. 293-315 ◽  
Author(s):  
Tyler R. Morgan ◽  
Robert Glenn Richey Jr ◽  
Chad W. Autry
Keyword(s):  
Supply Chain ◽  
Reverse Logistics ◽  
Structural Equation ◽  
Equation Modeling ◽  
Resource Based View ◽  
Content Type ◽  
Supply Chain Relationships ◽  
Research Questions ◽  
The Impact ◽  
The Relationship

Purpose – The purpose of this paper is to explore the influence of collaboration and information technology (IT) on the reverse logistics competency of firms. Through collaboration firms can improve their ability to handle returns, but this research introduces IT as providing a moderating influence over the impact of collaboration in the advancement of a reverse logistics competency. Design/methodology/approach – A survey was administered to employees involved with supply chain relationships. Empirical evidence from 267 respondents is analyzed with structural equation modeling. Findings – Support is found for the positive moderating influence of an IT competency on the relationship between collaboration and a reverse logistics competency. Additional benefits for logistics performance are also realized. Research limitations/implications – This research provides theoretical implications for the development of a reverse logistics competency through an application of resource-based theory/resource-based view of the firm. The study is limited to the selected research questions and sample of predominantly US firms. Practical implications – This research assists managers as they attempt to develop a reverse logistics competency to address the growing problem of returns through collaboration with supply chain members and the development of an IT competency. Originality/value – The framework developed in this research provides insights regarding the handling of product returns. Specifically, the moderating influence of an IT competency is addressed as it enhances the impact of collaboration on the development of a reverse logistics competency.

Antecedents and consequences of supply chain resilience and reconfiguration: an empirical study in an emerging economy

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maryam Al Naimi ◽  
Mohd Nishat Faisal ◽  
Rana Sobh ◽  
S.M. Fatah Uddin
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Structural Equation ◽  
Equation Modeling ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Management Culture ◽  
Major Disruption ◽  
Antecedents And Consequences ◽  
The Impact

PurposeThe purpose of this paper is twofold: to investigate the antecedents of resilience and to highlight the importance of resilience in achieving reconfiguration in supply chains.Design/methodology/approachThis paper draws on literature on supply chain resilience and collects data from 253 companies in Qatar to understand the influence of the antecedents of supply chain resilience and the impact of resilience on reconfiguration using partial least squares structural equation modeling.FindingsThe findings show that antecedents like risk management culture, agility and collaboration positively affect the supply chain resilience. Further, the study establishes that companies can leverage their supply chain resilience to reconfigure supply chain in case of disruptions.Practical implicationsThis study is important for supply chain managers in Qatar, as the country faced major disruption of supply chains in wake of the blockade imposed by its neighbors with which it had the only land route and maximum trade. The findings from this study should aid mangers in developing resilient supply chains.Originality/valueThis paper highlights the role of supply chain resilience in achieving reconfiguration. Further, novelty of the work reported in this paper lies in its context where supply chains recently faced actual disruptions.

Organizational capabilities that enable big data and predictive analytics diffusion and organizational performance

2019 ◽  
Vol 57 (8) ◽  
pp. 1734-1755 ◽  
Author(s):  
Deepa Mishra ◽  
Zongwei Luo ◽  
Benjamin Hazen ◽  
Elkafi Hassini ◽  
Cyril Foropon
Keyword(s):  
Big Data ◽  
Organizational Performance ◽  
Structural Equation ◽  
Predictive Analytics ◽  
Current Knowledge ◽  
Organizational Capabilities ◽  
Equation Modeling ◽  
Business Decisions ◽  
Content Type ◽  
It Flexibility

Purpose Big data and predictive analytics (BDPA) has received great attention in terms of its role in making business decisions. However, current knowledge on BDPA regarding how it might link organizational capabilities and organizational performance (OP) remains unclear. Drawing from the resource-based view, the purpose of this paper is to propose a model to examine how information technology (IT) deployment (i.e. strategic IT flexibility, business–BDPA partnership and business–BDPA alignment) and HR capabilities affect OP through BDPA. Design/methodology/approach To test the proposed hypotheses, structural equation modeling is applied on survey data collected from 159 Indian firms. Findings The results show that BDPA diffusion mediates the influence of IT deployment and HR capabilities on OP. In addition, there is a direct effect of IT deployment and HR capabilities on BDPA diffusion, which also has a direct relationship with OP. Originality/value Through this study, authors demonstrate that IT deployment and HR capabilities have an indirect impact on OP through BDPA diffusion.

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