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.

The impact of applying knowledge in the technological pillars of Industry 4.0 on supply chain performance

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anurak Sawangwong ◽  
Poti Chaopaisarn
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Organizational Performance ◽  
Cyber Security ◽  
Industry 4.0 ◽  
Structural Equation ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Content Type ◽  
The Impact

PurposeThe purpose of the study is to investigate the impact of technological pillars of Industry 4.0 based on knowledge to adopt the supply chain performance of Thai small and medium-sized enterprises (SMEs) 4.0. In addition, to increase knowledge and understanding of how to apply knowledge in technology 4.0 to improve the efficiency of supply chains and organizations.Design/methodology/approachAn integrated model was developed from applying knowledge in five technological pillars of Industry 4.0 such as Internet of things (IoTs), cloud computing, big data and analytics, additive manufacturing and cyber-security. The bibliometric analysis was used to find the relationship between the technological pillars of Industry 4.0 and the literature review. The survey questionnaires were sent to Thai SME 4.0 (manufacturing aspect). Of these, 240 useable responses were received, resulting in a response rate of 65.84%, after then, the exploratory factor analysis (EFA), confirmatory factor analysis (CFA), structural equation modeling (SEM) and validity were used to evaluate the model through IBM SPSS 21 and AMOS 22.FindingsEFA showed the four groups of the technological pillars of Industry 4.0, such as support human, automation, real-time and security. These groups positively impact supply chain performance (increase delivery reliability, increase resource efficiency, decrease costs in the supply chain and reduce delivery time). Another important finding is that supply chain performance positively impacts organizational performance in profitability, return on investment (ROI) and sale growth.Originality/valueThis study is a model development to support the supply chain performance and increase understanding related to applying knowledge in technology 4.0 that remains unclear for SME 4.0.

Effects of supply chain agility on profitability

2017 ◽  
Vol 23 (5) ◽  
pp. 1064-1082 ◽  
Author(s):  
Reza Abdoli Bidhandi ◽  
Changiz Valmohammadi
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Structural Equation ◽  
Evaluation Criteria ◽  
Equation Modeling ◽  
Content Type ◽  
Minimal Impact ◽  
Factors Affecting ◽  
Supply Chain Agility ◽  
The Impact

Purpose The purpose of this paper is to identify factors affecting agile supply chain and evaluate the effect of these factors on profitability. To that end, after reviewing the theoretical foundations of this field, the authors identified the factors affecting supply chain agility and profitability and provided an appropriate conceptual model to measure and verify this relationship. Design/methodology/approach A 48-item questionnaire was prepared and distributed among 270 members of staff and managers of the company from which 240 questionnaire were completed and returned. The response rate was 88 percent. Using exploratory factor analysis (EFA), 37 indicators were selected and redundant questions were excluded. Results were analyzed using the structural equation modeling technique, and the relationships between factors were obtained and the impact of each supply chain agility factor on profitability was determined and prioritized. Findings Through EFA, the indicators related to each supply chain agility factor and profitability were extracted and using the literature, supply chain agility indicators were classified in four factors of speed, responsiveness, competency and flexibility and the indicators related to profitability in one factor, and confirmatory factor analysis (CFA) was conducted accordingly. The CFA results showed that all four factors are significantly associated with profitability, and flexibility has the greatest impact on profitability, and speed has minimal impact on profitability. Research limitations/implications As this study has been done in the context of Iran, cautious should be taken to generalize the results. Originality/value Other studies have examined the effect of agility on business performance and the relationship between them but this study, by providing a comprehensive set of supply chain agility evaluation criteria and indicators and considering all its dimensions, intends to identify the factors affecting supply chain agility and evaluate and determine the effects of these factors on profitability and examine if supply chain agility affects profitability.

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.

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.

Emotional brand attachment: a factor in customer-bank relationships

2016 ◽  
Vol 34 (2) ◽  
pp. 136-150 ◽  
Author(s):  
Shalom Levy ◽  
Hayiel Hino
Keyword(s):  
Factor Analysis ◽  
Conceptual Framework ◽  
Structural Equation ◽  
Positive Relationship ◽  
Service Providers ◽  
Equation Modeling ◽  
Emotional Attachment ◽  
Content Type ◽  
The Impact ◽  
The Relationship

Purpose – The purpose of this paper is to evaluate the relationship between customers’ emotional attachment toward bank service providers and bank loyalty. In particular, the study examines the impact of the emotional attachment factor while treating established effecting variables by employing a new conceptual framework that integrates these variables. Design/methodology/approach – The study employs data collected from a survey involving 436 participants. The study employs Exploratory Factor Analysis and Confirmatory Factor Analysis methods following a path analysis method and structural equation modeling for testing research hypotheses. Findings – The empirical results support the claim that the conceptual framework applied in this study better explains the relationship between customers’ emotional attachment toward bank service providers and bank loyalty. Specifically, the findings show a significant, direct and positive relationship between the customer’s emotional attachment and bank loyalty; an indirect positive relationship also exists through the connection of customer satisfaction. The study distinguishes between two integrated pathways consumers possibly follow when making decisions about services: the conscious decision-making process path and the emotional process path. Practical implications – The paper provides managerial and planning implications to bank service providers who seek to achieve excellent performance and a positive brand personality, thus maintaining long-lasting relationships with their customers. Originality/value – The study is among the few empirical works to specifically examine the impact of customers’ emotional attachment on bank loyalty and contributes to the available literature in that it suggests a systematic conceptual framework that evaluates the impact of key factors on bank loyalty.

Perceived servant leadership: the impact of servant leadership on intrinsic and extrinsic job satisfaction

2020 ◽  
Vol 28 (2) ◽  
pp. 27-29
Keyword(s):  
Job Satisfaction ◽  
Factor Analysis ◽  
Servant Leadership ◽  
Structural Equation ◽  
Service Sector ◽  
The Body ◽  
Equation Modeling ◽  
Good Reliability ◽  
Content Type ◽  
The Impact

Purpose The purpose of this study is to assess the impact of perceived servant leadership on the intrinsic and extrinsic job satisfaction of followers. Design/methodology/approach Data was gathered from the responses of 205 employees working in service- sector organizations in Kuwait as part of a larger questionnaire survey on employee satisfaction and leadership. Servant leadership was then measured using Liden’s (2008) 28 item servant leader instrument and analyzed using factor analysis and structural equation modeling. Findings The results suggest that the seven factor model proposed by Linden (2008) is shown to be valid in this study with good reliability. In addition a second-order factor analysis showed strong positive correlations were found between servant leadership and both intrinsic (0.69) and extrinsic (0.08) job satisfaction. Practical implications Promoting altruistic approaches to leadership which increases extrinsic and intrinsic job satisfaction will have a positive effect on the organizational goals. Leaders should be made aware of this so they can put interventions in place to improve overall performance. Originality/value This paper is of value as research examining the relationship between servant leadership and job satisfaction has been limited so it adds to the body of knowledge with particular relevance to the nature of this relationship in the service sector in the Middle East.

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.

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