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.

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.

The impact of business intelligence on supply chain performance with emphasis on integration and agility–a mixed research approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Taha Jafari ◽  
Azim Zarei ◽  
Adel Azar ◽  
Alireza Moghaddam
Keyword(s):  
Supply Chain ◽  
Business Intelligence ◽  
Structural Equation ◽  
Equation Modeling ◽  
Research Approach ◽  
Supply Chain Performance ◽  
Content Type ◽  
Supply Chain Agility ◽  
Two Phases ◽  
The Impact

PurposeThe paper aims to explore how business intelligence (BI), integration and agility influence supply chain performance.Design/methodology/approachThe study was performed by the exploratory sequential mixed method in two phases including meta-synthesis as a qualitative method and survey as a quantitative method. Data were collected through a survey of 369 Iranian companies across various industries. Structural equation modeling was used to test hypotheses.FindingsThe results show that BI, integration and agility play an important role in achieving better supply chain performance. In the meantime, BI has the greatest impact on supply chain performance. Additionally, BI has a positive and significant effect on the integration and agility of the supply chain. The study also found that integration has a direct effect on supply chain agility.Originality/valueTo the best of the authors' knowledge, the paper theoretically and empirically presents a new conceptual model of the relationship between BI, integration, agility and supply chain performance. The study helps researchers and practitioners to achieve insights into supply chain performance improvement.

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.

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.

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.

Supplier flexibility and performance: an empirical research

2020 ◽  
Vol 26 (7) ◽  
pp. 1851-1870
Author(s):  
Asuman Üstündağ ◽  
Mustafa C. Ungan
Keyword(s):  
Literature Review ◽  
Information Exchange ◽  
Structural Equation ◽  
Equation Modeling ◽  
Manufacturing Companies ◽  
Chain Flexibility ◽  
Content Type ◽  
Factors Affecting ◽  
Supplier Performance ◽  
The Impact

PurposeA literature review conducted for this study showed that although different aspects of supply chain flexibility have been studied, research on the factors affecting supplier flexibility and the impact of supplier flexibility on supplier performance are conspicuously absent. The present study aims to fill in this gap in the literature.Design/methodology/approachA quantitative research design was adopted. Data were collected from 119 manufacturing companies operating in Turkey and analyzed by structural equation modeling.FindingsThe findings show that supplier flexibility is associated with environmental uncertainty, relationships with the buyer and the quality of information shared between the buyer and the supplier, but not with the level of information shared between the buyer and the supplier. The findings also indicate that supplier flexibility affects supplier performance.Research limitations/implicationsThe generalizability of the findings can be considered as a limitation. In the future, sector-based larger-scale studies are desirable. Also, data can be collected from both the main business and suppliers and findings may be compared.Practical implicationsThe findings of this study help decision-makers to make more informed decisions about information exchange, supplier relationships and environmental uncertainties depending on the degree of flexibility that they request from their suppliers.Originality/valueA literature review for this study indicated that there is a lack of research on the factors affecting supplier flexibility. Therefore, this research is expected to make an original contribution to the literature.

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