A new integrated knowledge model in supplier selection

2014 ◽  
Vol 7 (4) ◽  
pp. 333-368 ◽  
Author(s):  
Peyman Akhavan ◽  
Behin Elahi ◽  
Mostafa Jafari
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Structural Equation ◽  
Equation Modeling ◽  
Regression Equations ◽  
Knowledge Model ◽  
Content Type ◽  
Top Managers ◽  
Protection And Utilization ◽  
Integrated Knowledge

Purpose – This paper aims to empirically explore the effects of intellectual capital (IC) on supplier selection (SS) and, consequently, investigates the consecutive impacts on an Asian automotive supply chain performance (SCP). Design/methodology/approach – A questionnaire-oriented survey obtained from top managers and expert employees from three different Asian automotive industries, all of which exist in the same supply chain, was utilized for factor analysis and structural equation modeling (SEM). Findings – The findings indicate that some dimensions of IC containing human capital, relational capital and structural capital sufficiently influence evaluation and selection of optimal suppliers which lead to more efficient performance of the supply chain. Research limitations/implications – First, as the research analyzes the findings extracted from three important Asian automotive companies which exist in the same supply chain, the results may not be applicable to other industries in different countries. Second, gathering data from other elements of the supply chain like wholesalers and retailers could enrich the research conducted. Besides, more advanced statistical methods could be utilized to evaluate the regression equations and SEM. Practical implications – With a comprehensive view on IC that takes into account its creation, protection and utilization, IC plays an essential role in selecting and assessing optimal suppliers which enhance competitive advantage, especially in knowledge-based organizations. IC will also increase the SCP efficiently and effectively. Originality/value – This study develops an integrated knowledge model for a SS issue based on IC, and focuses on the effects of its various elements. It offers assistance to managers who tend to select optimal suppliers effectively.

Supply chain integration and its impact on sustainability

2018 ◽  
Vol 118 (9) ◽  
pp. 1749-1765 ◽  
Author(s):  
Mingu Kang ◽  
Ma Ga (Mark) Yang ◽  
Youngwon Park ◽  
Baofeng Huo
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Management Practices ◽  
Social Performance ◽  
Supply Chain Integration ◽  
Equation Modeling ◽  
Content Type ◽  
New Perspective ◽  
And Performance ◽  
And Function

Purpose The purpose of this paper is to examine the role of supply chain integration (SCI) in improving sustainability management practices (SMPs) and performance. Design/methodology/approach Based on data collected from 931 manufacturing firms in multiple countries and regions, the authors conducted a structural equation modeling analysis to test the proposed hypotheses. Findings The findings suggest that supplier and customer integration are vital enablers for both intra- and inter-organizational SMPs. The results also reveal that both intra- and inter-organizational SMPs are significantly and positively associated with sustainability performance (i.e. economic, environmental and social performance) and function as complements to jointly enhance environmental and social performance. Originality/value This study incorporates SCI into the sustainability literature, providing a new perspective on sustainability and supply chain management research.

The effect of supplier development initiatives on purchasing performance: a structural model

2005 ◽  
Vol 10 (4) ◽  
pp. 289-301 ◽  
Author(s):  
Cristóbal Sánchez‐Rodríguez ◽  
David Hemsworth ◽  
Ángel R. Martínez‐Lorente
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Structural Model ◽  
Essential Element ◽  
Equation Modeling ◽  
Supplier Development ◽  
Manufacturing Companies ◽  
Content Type ◽  
Different Levels

PurposeSupply chain management is an increasingly important organizational concern, and proper management of supplier relationships constitutes one essential element of supply chain success. However, there is little empirical research that has tested the effect of supplier development on performance. The main objective is to analyze the effect of supplier development practices with different levels of implementation complexity on the firm's purchasing performance.Design/methodology/approachThree supplier development constructs were defined: basic supplier development, moderate supplier development, and advanced supplier development. Three structural models were hypothesized and tested using structural equation modeling through field research on a sample of 306 manufacturing companies in Spain.FindingsIdentified important interrelationships among the various supplier development practices, basic, moderate, and advanced. Also indicated that the implementation of supplier development practices significantly contributes to the prediction of purchasing performance.Research limitations/implicationsThe use of a single key informant could be seen as a potential limitation of the study. The study was a cross‐sectional and descriptive sample of the manufacturing industry at a given point in time. A more stringent test of the relationships between the different levels of supplier development and performance requires a longitudinal study, or field experiment.Practical implicationsThis study focused on supplier development practices and revealed how involving suppliers in supplier development activities is important and may help buyers to increase their purchasing performance. The findings from the structural analysis should provide practicing managers with insights on how these practices and their benefits are related in terms of purchasing performance, thus affecting their ability to make better sourcing decisions.Originality/valueFills an important gap in the purchasing literature with respect to the area of supplier development. While there is much written about supplier development based on conceptual and case study research, this study is unique in that it is the first attempt to empirically model the relationships between different levels of supplier development and their impact on purchasing performance using a comprehensive set of practices.

Complementarity effect of supply chain competencies on innovation capability

2019 ◽  
Vol 25 (6) ◽  
pp. 1251-1272 ◽  
Author(s):  
Ying Liao ◽  
Yulong Li
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Equation Modeling ◽  
Supply Network ◽  
Innovation Capability ◽  
Exploration And Exploitation ◽  
Complementarity Effect ◽  
Content Type ◽  
Essential Components ◽  
Network Flexibility

Purpose From the perspective of the economic theory of complementarity, the purpose of this paper is to examine how internal collaboration and external competencies would provoke and strengthen each other, and subsequently enhance organizational innovation capability. Design/methodology/approach The survey data were collected from 201 manufacturing firms and checked for common method variance, validity and reliability. Structural equation modeling was then used to test the hypothetical complementarity effect. Findings The results suggest that internal collaboration (as a manifestation of exploitative learning) and external competencies, which include supply network flexibility and supplier operational capabilities (as manifestation of exploratory learning), do in fact compensate for each other’s deficiencies. Complementary deployment of internal collaboration and external competencies enhances each other’s contribution to innovation capability. Practically, the study indicates that organizations should consider making concerted efforts to develop internal collaboration, supply network flexibility and supplier operational capability as a bundle. Originality/value Extensive discussions exist in the literature on exploration and exploitation being essential components of innovation and their conflicting impact on innovation efficiency and effectiveness. But how an organization should operationally develop supply chain competencies in order to maximize overall innovation capability still remains largely an unanswered question. The current study advances the research on the inter-relationships between exploration and exploitation by empirically demonstrating the complementary nature of internal collaboration and external competencies in developing sustainable innovation capabilities.

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.

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 Antecedents and outcomes of supply chain management in Bangladesh

2019 ◽  
Vol 1 (1) ◽  
pp. 68-87 ◽  
Author(s):  
Mohammed Belal Uddin ◽  
Bilkis Akhter
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Business Strategy ◽  
Customer Value ◽  
Structural Equation ◽  
Principal Component ◽  
Equation Modeling ◽  
Competitive Advantages ◽  
Chain Management ◽  
Content Type

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.

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 effects of strategic sourcing on supply chain strategies

2020 ◽  
Vol 13 (2) ◽  
pp. 129-148
Author(s):  
Sibel Yildiz Çankaya
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Mail Survey ◽  
Equation Modeling ◽  
Competitive Performance ◽  
Cross Sectional ◽  
Content Type ◽  
Strategic Sourcing ◽  
Plant Level ◽  
Lean Supply Chain

Purpose This study aims to examine the effects of strategic sourcing (SS) on lean supply chain (LSC) and agile supply chain (ASC) strategies and investigate the role of these concepts on development of competitive performance. Design/methodology/approach A proposed research model and hypotheses are tested by using cross-sectional e-mail survey data collected from the manufacturing firms operating in Turkey. SS is conceptualized as a second-order factor. Structural equation modeling is used to test the proposed hypotheses. Findings This study reached the conclusion that SS affects LSC and ASC strategies positively. Additionally, it is seen that these concepts are effective in improvement of competitive performance. Practical implications The results are important in terms of emphasizing the significance of SS in improvement of the lean and agile nature of the supply chain. Originality/value This study contributes to the literature by providing empirical evidence regarding the relationships among SS, supply chain strategies and competitive performance. Research limitations/implications This study was carried out on the plant level where one person from each organization responded to the survey.

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