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The purpose of this paper is to empirically test a framework which identifies the relationships between various supply chain practices (SCPs) and organizational performance (operational performance (OP), customer satisfaction, and financial performance) in the context of Indian manufacturing organizations.

From the literature, ten SCPs are selected which finally influences the organizational performance. In order to understand the interactions between SCPs and organizational performance, this paper grouped the ten SCPs into four constructs namely: information and communication technology, supply chain (SC) integration, operational responsiveness, and closed loop green practices. Three levels of firm performance are also examined, including OP, customer satisfaction, and financial performance. The paper-based and web-based survey yielded 292 responses from the Indian manufacturing organizations. The data collected were put through rigorous statistical analysis to test for the content, construct, and criterion-related validity, as well as reliability analyses. Further a structural equation model was developed to test the relationships between SCPs and organizational performance.

The finding suggests that a successful SCPs implementation not only improves the OP, but also enhances customer satisfaction and financial performance. In addition, higher financial performance is also attributable to better customer value resulting from the achievement of better customer satisfaction.

SCPs are complex constructs. While this study shows the effect of broadly accepted SCPs on organizational performance, not all possible practices are covered in this study. Again the study can be further extended to sector specific so that the results can be further refined.

This is one of the few studies which attempts to investigate whether there is any relationship exits between SCPs and organizational performance. The finding will help decision makers in the organization to know the importance of SCPs and how SCPs influence the organizational performance. Second, this study has developed and validated a multi-dimensional construct of SCPs, which can assist decision makers of Indian organizations to evaluate the competence of their current status of SCPs in the organization.

As per the knowledge of the authors, this is the first kind of study which empirically investigated the relationships between SCPs and organizational performance in the context of Indian manufacturing organizations.

The purpose of this paper is to perform content analysis in empirical research in supply chain practices (SCPs) over the last 16 years. The research also aims to identify implications for future research in the area of SCPs.

The review of SCPs research is based on 382 papers published from 1997 to 2012 in the 16 selected journals. The state of research is assessed by examining the empirical research growth of SCPs in selected journals, empirical research growth of SCPs, country of sample industry, sample industry, issues discussed in SCPs literature, purpose/objective of research, research method, response rate and data analysis techniques. The research gap is identified through reviewing the selected practices and framework for future development is proposed.

The empirical research in SCPs predominantly performs in the developed countries like USA, UK and Spain. A significant percentage of articles contribute towards the effect of SCPs on organizational performance, but majority of authors employed performance analysis for at firm level only. Hypothesis testing is seemed to be very a common method of defining research question. From the content analysis, it is found that the response rate for the survey research is very low. The trend in survey research is shifting from descriptive statistics’ to framework building and testing.

This paper focuses only the identifications of SCPs and content analysis in empirical research. Further empirical study can be undertaken to find out the relationship between different SCPs and their effect on the organizational performance.

The methodological review will provide better understanding of the current state of research in the area of SCPs.

Many literature reviews aim at critical examination of supply chain management (SCM), but none of them focused the empirical research in SCPs. Another unique feature of this paper is that, it represents 382 articles from 16 selected journals over the past 16 years.

The purpose of this paper is to investigate the current level of supply chain practices (SCPs) in Indian manufacturing organizations.

The 15 SCPs are identified based on the literature support and opinion of industry experts and academia, and data were collected from 292 organizations. Data were analyzed using the statistical package for the social science software to see the current level/penetration of SCPs in Indian manufacturing organizations.

The practices, namely, organizational culture, customer relationship, information and communication technology, benchmarking and performance measurement, lean manufacturing, agile manufacturing, supplier relationship are highly penetrated practices in Indian manufacturing organizations. The practices, namely, outsourcing, information sharing, just in time manufacturing, green supply chain management are moderately penetrated practices, while the practices, namely, reverse logistics, postponement, vendor managed inventory, radio frequency are least penetrated practices in Indian manufacturing organizations.

Further study can be extended to see the of penetration practices applicable to service and agriculture sectors.

The result of this paper will enable the organizations to identify and direct their focus on the areas that requires improvement. Also, the organizations will become more aware of the SCPs that will help in boosting up their performance and competitiveness and indirectly boost the growth and contribute to India’s economic development.

This is the first kind of study which checked the level of selected SCPs in Indian manufacturing organizations.

The purpose of this paper is to predict the success possibility of supply chain practices (SCPs) implementation based on ten selected SCPs using the analytic hierarchy process (AHP).

A case study was conducted, and for the same, data were collected from two organizations. The data collected from both the organizations were analyzed using AHP. The pair-wise comparisons of SCPs (usually, alternatives and attributes) are established using a scale indicating the strength with which one SCP dominates another with respect to higher-level SCPs. This scaling process then translated into priority weights. Once the priority weights of the elements/determinants of the module have been calculated, the presence of the corresponding element in the organization was evaluated. An evaluation rating of these elements multiplied by the established priority weights have determined the prediction weight for each SCP.

The application of this procedure is described for the institutionalization module and can be similarly extended to the other SCPs/SCM implementation modules. By establishing the prediction weight for each module, the organizations will be able to evaluate the strength of the corresponding factors present before embarking on the SCPs. The organization can identify and create awareness of the essential elements in the SCPs implementation process and identify the actions necessary before implementing SCPs. The AHP can be a useful guide in the decision-making process of SCPs implementation, especially for medium- and large-scale organizations.

The priority weights are subjective and assigned as per the judgment of SCM managers from both the organizations. Further, the priority weights can be obtained from more industry experts through a questionnaire. Second, in this model, only ten practices are taken into consideration for successful SCPs implementation; more practices may be included in future research.

The methodological approach presented can be a useful guide in the decision-making process of SCPs implementation in an organization. The outcome will aid practitioners to know the SCPs and benchmark the organizations on the basis of the methodological research conducted. Again, this model can simply act as a possible research model and the data can act as an example that can be utilized for other studies.

This is the first kind of study which identified ten SCPs and further deployed AHP approach to see the success possibility of combined SCPs that influence the SCM implementation in an organization.

The purpose of this paper is twofold: first, to present a set of critical factors for total quality management (TQM) and supply chain management (SCM) practices through an extensive literature review; and, second, to identify the relationships among them by comparing the identified TQM and SCM practices in order to explore the concept of supply chain quality management (SCQM).

To meet the goals of this work, a review of published quality research papers was carried out. For this, the authors identified papers on TQM and SCM practices and observed how these practices improve the business performance of organizations. Further, on the basis of identified practices, a conceptual model of SCQM was developed.

The results presented a set of six critical factors each for TQM and SCM practices. Further, it was found that management support and commitment, customer focus, information and supplier partnership are the most common practices found in both TQM and SCM practices. The integration of TQM and SCM (SCQM) throughout the supply chain has the strongest impact on the organizational performance.

The study used data from various research papers of reputed journals which considered the study of India’s manufacturing industry as well as other countries, which may not provide a clear picture. However, this can be overcome by applying the findings of this paper to collect data from Indian manufacturing industry in future studies.

Indian manufacturing industry can improve its competitive image through the synergy of TQM and SCM. The result of this paper will help in providing a greater understanding of identified TQM and SCM practices that will lead to the successful implementation of TQM and SCM strategies to enhance business performance in terms of the improved levels of customer service.

Much of the attention is given on TQM and SCM practices, and very few studies have been undertaken to integrate TQM and SCM practices. But as far as the authors know, there is no study undertaken to integrate TQM and SCM practices in India for the manufacturing class. Therefore, this study compares TQM and SCM practices and considers their integration and can be thus treated as filling a gap in the extant literature. Therefore, the findings of this review paper will contribute in future research.

The purpose of this paper is to evaluate the capabilities of total quality management (TQM) and supply chain management (SCM) and extract various significant factors which influence the implementation of SCM alone and synergy of both TQM–SCM in terms of business performance of Indian medium and large scale manufacturing industry.

In the present study, 116 Indian manufacturing organizations have been extensively surveyed to ascertain the inter-relationships between various success factors and competitive dimensions of SCM alone and for combined approach (TQM–SCM), through different statistical techniques. Further, to evaluate the significance of time period on competitive dimensions, two-tailed t-test has been deployed. Finally the discriminant validity test has been applied to extract highly successful and moderately successful organizations for both approaches.

The study compares the contributions played by only SCM initiatives and combined approach (TQM–SCM) initiatives toward realization of significant improvements of various competitive dimensions of Indian manufacturing organizations. Finally, this study reveals that synergistic relationship of TQM and SCM paradigms can be more helpful as compared to only SCM initiatives for Indian manufacturing industries to enhance overall business performance.

TQM and SCM are considered as performance improvement techniques by the manufacturing organizations. The present research work establishes that combined (TQM–SCM) initiatives have effectively contributed for realization of significant competitive dimensions, progressively from introduction to maturity phases. So, the study stresses upon the need for improving coordination between various manufacturing parameters as well as competitive dimensions of TQM and SCM paradigms to enjoy higher potential of business performance.

The purpose of this paper is to develop the relationships among the identified supply chain management barriers (SCMBs) and understand mutual influences of these SCMBs on supply chain implementation. Further, this paper seeks to identify driving and dependent SCMBs using an interpretive structural modelling (ISM) and fuzzy MICMAC (Matrix of Cross-Impact Multiplications Applied to Classification) analysis.

The methodology used in the paper is the ISM with a view to evolving mutual relationships among SCMBs. The identified SCMBs have been classified further, based on their driving and dependence power using fuzzy MICMAC analysis.

This paper has identified 15 key SCMBs which hinder the successful supply chain management (SCM) implementation in an organization and has developed the relationships among the SCMBs using the ISM methodology. Further, this paper analyses the driving and dependent SCMBs using fuzzy MICMAC analysis. The integrated approach is developed here, as the ISM model provides only binary relationship among SCMBs. The fuzzy MICMAC analysis is adopted here, as it is useful in specific analysis related to driving and the dependence power of SCMBs.

The weightage for the ISM model development and fuzzy MICMAC is obtained through the judgement of academics and industry experts. Further, validation of the model is necessary through questionnaire survey.

The identification of SCMBs, ISM model development and fuzzy MICMAC analysis provide academics and managers a macro picture of the challenges posed by the SCM implementation in an organization.

The results will be useful for business managers to understand the SCMBs and overcome these SCMBs during the SCM implementation in an organization.

The purpose of this paper is to identify the supply chain management enablers (SCMEs) and establish relationships among them using interpretive structural modeling (ISM) and find out driving and dependence power of enablers, using fuzzy MICMAC (Matriced' Impacts Croisés Multiplication Appliquée á un Classement) analysis.

A group of experts from industries and academics was consulted and ISM is used to develop the contextual relationship among various SCMEs for each dimension of SCM implementation. The results of ISM are used as an input to fuzzy MICMAC analysis, to identify the driving and dependence power of SCMEs.

This paper has identified 24 key SCMEs and developed an integrated model using ISM and the fuzzy MICMAC approach, which is helpful to identify and classify the important SCMEs and reveal the direct and indirect effects of each SCME on the SCM implementation. The integrated approach is developed, since the ISM model provides only binary relationship among SCMEs, while fuzzy MICMAC analysis provides precise analysis related to driving and dependence power of SCMEs.

The weightage for ISM model development and fuzzy MICMAC are obtained through the judgment of academicians and a few industry experts. It is only subjective judgment and any biasing by the person who is judging the SCMEs might influence the final result. A questionnaire survey can be conducted to catch the insight on these SCMEs from more organizations.

This study has strong practical implications, for both practitioners as well as academicians. The practitioners need to concentrate on identified SCMEs more cautiously during SCM implementation in their organizations and the top management could formulate strategy for implementing these enablers obtained through ISM and fuzzy MICMAC analysis.

This is first kind of study to identify 24 SCMEs and further, to deploy ISM and fuzzy MICMAC to identify and classify the key SCMEs that influence SCM implementation in the organization.

Blockchains provide significant benefits for business operations due to its transparency, traceability and information sharing. However, application to the food and beverage (F&B) industry was scarce. The purpose of this study is to explore how to form F&B managers’ blockchain adoption by applying behavioral reasoning theory (BRT). Additionally, supply chain partnerships (SCPs) were tested for the potential moderating roles within BRT. This study’s findings expand existing knowledge by providing novel information for F&B management.

Data were collected from F&B managers by using an online survey method. A structural equation modeling and multi-group analysis were performed to test the hypothesized relationships.

Findings revealed that the positive effects of “reasons for” on “attitudes,” and “adoption intentions” while “reasons against” did not show such effects. Environmental benefits of blockchains were found to lead more positive attitudes while traditional barriers were the greatest constraints for adopting blockchains. This study supports the significant moderating roles of SCPs within the context of F&B blockchain adoption.

This study contributes to the technology literature in the foodservice context by applying BRT as a theoretical lens. The importance of developing SCPs for F&B blockchain adoption and exploitation is highlighted.

区块链因其透明度、可追溯性和信息共享而为企业运营提供了重要的好处。然而, 将其应用于食品和饮料（F&B）行业却很少见。本研究探讨了如何通过应用行为推理理论（BRT）来形成 F&B 管理者的区块链采用。此外, 本研究还测试了供应链合作（SCPs）在BRT内的潜在调节作用。通过为F&B 管理提供新颖信息, 我们的研究结果扩展了现有知识领域。

采用在线调查方法收集了来自 F&B 管理者的数据。进行了结构方程建模和多组分析, 以测试假设关系。

研究结果显示, “支持的原因”对“态度”和“采用意向”有积极影响, 而“反对的原因”则没有显示出这种影响。区块链的环境优势被发现会导致更积极的态度, 而传统障碍是采用区块链的最大限制因素。本研究还证实了 SCP 在 F&B 区块链采用背景下的重要调节作用。

本研究通过应用 BRT 作为理论视角, 为餐饮服务背景下的技术文献做出了贡献。强调了发展 F&B 区块链采用和利用的供应链合作的重要性。

To propose a conceptual structural equation model to demonstrate the direct and indirect impact of supply chain participation strategy (SCPS), information technology application (ITA), manufacturing participation strategy (MPS) on customer satisfaction (CS) and organizational performance (OP) from a strategic perspective.

An empirical study is conducted through surveys of 109 senior managers from the top 800 manufacturing firms in Taiwan and the data collected are used to test the relationships expressed in the proposed structural equation model.

MPS planning plays a pivotal role in achieving OP in implementing the supply chain system. This demonstrates the strategic importance of integrating manufacturing (operations) with suppliers and customers in a supply chain system.

The current data were collected in Taiwan, and the distribution of the scale of the firms surveyed may be quite different from that in other countries. But it can be useful for managers' reference, especially for those whose firms are located in other countries where the circumstances are similar to those in Taiwan.

This application of conceptual structural equation model is a very useful source of information and a notice for managers to achieve greater success in implementing the supply chain systems.

This paper provides a useful conceptual structural equation model and points out a critical pivotal variable for managers to implement SCM more effectively to enhance the competitive advantage.