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The growing focus on socially responsible supply chain management (SRSCM) has made it crucial to extend corporate social responsibility (CSR) to upstream suppliers. Drawing on resource dependence theory, this study aims to examine how supplier dependence upon socially responsible buyers impacts suppliers' CSR performance and how this relationship is moderated by network prominence and demand uncertainty.

The proposed hypotheses are tested using regression analysis with Heckman's two-stage model and a dyadic supply chain dataset constructed based on publicly traded Chinese firms between 2008 and 2016. This time window is selected due to a one-year lag of the dependent variable and the change in evaluation methods of the database providing CSR performance in 2018.

The empirical results indicate that supplier dependence upon socially responsible buyers is positively associated with suppliers' CSR performance. However, this positive relationship is attenuated when suppliers occupy a prominent position in the network or when they face high demand uncertainty.

This study extends knowledge about the role of relationship dependence in implementing SRSCM by highlighting its positive impact on suppliers' CSR. Thus, this study contributes to the buyer–supplier relationship literature and the power and relationship dependence literature. This study further advances the understanding of the factors that influence suppliers' behavior by exploring the moderating roles of network prominence and demand uncertainty. The results have several practical implications for managers and policymakers.

The purpose of this paper is to investigate whether supplier dependence is related to innovation in supplier firms. Drawing on resource dependence theory, the authors hypothesized that supplier dependence has both positive and negative relationships to the quantity and quality of innovation.

The study is based on data collected from US companies. Negative binomial regression analysis was used to test the proposed hypothesis.

The authors found that the quantity of innovation of a supplier firm initially decreased and then increased with the extent of the dependence upon major customers. This finding supports the idea that the benefits of supplier dependence mitigate the negative outcomes of dependence upon major customers.

This study extends the literature on supplier dependence by empirically examining the relationship between supplier dependence and the quantity and quality of innovation within the context of high-technology industries. The authors provide a holistic understanding of the value of the dependent relationship in boosting innovation in the context of supply chain management.

The importance of supply chain network centrality has been widely recognized in the manufacturing literature. This study extends this literature by investigating the relationship between network centrality and innovation value. “Innovation value” refers to an innovation's impact, quality and potential future contribution to technological development in a business community. This study also aims to examine whether the relationship between supplier centrality and innovation value is contingent upon supplier acquisition.

The study hypotheses are tested with archival data collected from US high-tech manufacturing industries over the 17-year period. Negative binomial regression analysis was used to test the hypotheses.

The authors found that supplier centrality has a significant positive relationship with innovation value. Moreover, an increase in supplier acquisition activities makes the relationship between supplier centrality and innovation value more positive.

This study contributes to the manufacturing and technology management research by exploring the impact of supplier centrality on innovation value. The results of this study shed light on the importance of a firm's central network position in enhancing the impact and quality of innovation. This study uncovers contingencies that help realize the potential benefits of holding a central network position.

The purpose of this research article is to investigate the critical risk factors associated with the digitalization impact on the Indian construction industry, as these firm plans to implement digitalization in order to improve their construction management processes.

In this research article, risk factors and dimensions are taken from diverse industries and validated in the construction domain by industry and academic experts. Further, multi-criteria decision-making techniques are employed to assess the Indian construction sector scenario quantitatively. The interrelationship and weightage of risk factors and dimensions are determined by the Fuzzy Decision-making Trial and Evaluation Laboratory Analytic Network Process (DANP) method. However, the method Grey Technique for the Order of Prioritization by Similarity to Ideal Solution (TOPSIS) is used to determine the ranking of each risk factor.

This study finds 14 critical risk factors along with four risk dimensions. Operational and financial dimensions are significant risk dimensions. Whereas the threat of high outlay and low yield is a significant risk factor in construction. Besides that, the interrelationship among risk factors, the weightage of each factor and the ranking of critical risk factors are also identified.

This research article uses Fuzzy DANP and Grey TOPSIS techniques as exploratory research methods with a limited group of construction professionals from a leading Indian construction firm. Furthermore, comprehensive confirmatory research can also be performed with a large group of construction experts using advanced analytical techniques to validate the ranking of critical risk factors.

The findings of this study provide insight into the knowledge of construction firms by emphasizing significant risk factors related to digitalization in construction operations. Another finding of this study shows that the risks associated with digitalization in construction are similar to those in manufacturing, where high outlay and low yield hold a significant role in the transformation process.

The research is unique since there have only been limited studies in the Indian construction scenario to analyze the significant risks associated with digitalization. Furthermore, this study demonstrates that the combination of Fuzzy DANP and Grey TOPSIS techniques may be used successfully to prioritize risks in construction digitalization, which is still in its early phases.

The purpose of this paper is to explore how the acquisition experience – an acquiring firm’s experience of acquiring and integrating the resources of an acquired firm – affects the production resource efficiency of the acquiring firm.

The authors used data obtained from US manufacturing industries over the 1992–2014 period. The sample includes 784 acquisitions by 417 firms. The proposed hypotheses were tested through econometric analysis.

Results show that the acquisition experience has a positive association with production resource efficiency. The acquisition experience is most positively associated with acquiring firms’ production efficiency when they successfully accomplished previous performance outcomes. While the literature has recognized the relatedness of acquiring and acquired firms as a contextual moderator, the interaction of the related acquisition and the acquisition experience has no impact on efficiency benefits.

This study enhances the understanding of how prior acquisition experience can be leveraged by acquiring firms to gain efficiency benefits in the manufacturing industry.

The purpose of this paper is to discuss a self‐assessment scheme and processes that are developed for and applied to a R&D organization based on ISO 9004:2000. The presented self‐assessment has been performed during internal audits based on quality management system in Electronics and Telecommunications Research Institute (ETRI) in Korea.

In order to enhance the reliability of the self‐assessment, the preliminary works such as training, workshop, case study and pre‐assessment rating are performed in advance before self‐assessment. Furthermore, this paper evaluates the reliability of self‐assessment results using Cohen's Kappa coefficient and the observed agreement index.

The results of this paper present that an organization's performance maturity level evolves sustainably through self‐assessment scheme and processes.

These results and lessons learned will be very useful to the organization that intends to enhance the performance of its R&D projects and processes and improve its processes continuously.

ISO 9004:2000 presents the guidelines of self‐assessment for the organization that intend to continually improve its performance considering the effectiveness and efficiency of a quality management system. According to ISO 9004, the range and depth of self‐assessment should be planned in relation to the organization's objectives and priorities. This paper discusses a self‐assessment scheme and processes that are developed for and applied to a R&D organization based on ISO 9004:2000.

The purpose of this paper is to present a self-certification framework for assessing technological innovation and certifying superior products. The paper discusses how and why organizational efforts to implement the self-certification program can lead to product and process innovation.

Using the case study method in a large government-sponsored research and development institute, the authors examined the effectiveness of the proposed framework.

The finding indicates that the success of the self-certification program is dependent on the ability of a firm to manage processes. The result also suggests that it is critical to develop an internal-driven motivation and ensure the strong commitment of top management when implementing the self-certification program. The finding reveals that the voluntary certification program has a positive effect on innovation and marketing performance.

This study makes three contributions. First, the paper offers valuable insights on the use of a self-certification framework as a problem-solving tool in the innovation process. Second, based on the self-regulation theory, this study enhances the understanding of the potential of control in facilitating technological innovation. Third, the paper provides practical guidance about the application of self-assessment at the project level.

The purpose of this paper is to develop a framework for assessing the comprehensive performance of supply chain partnership (SCP).

Using the literature review approach, the paper proposes a framework to assess the performance of SCP. The framework is based on the self‐assessment dimensions and approaches of the business excellence model developed by the European Foundation for Quality Management (EFQM). The proposed framework could be implemented not only in entire supply chains, but also in a dyadic relationship.

Identifying strengths and opportunities for improvement begins with assessing the level of SCP. The proposed framework focuses on assessing two dimensions of SCP – efforts and results – that will offer practitioners both balanced insights and valuable information. This framework also highlights assessment dimensions that could help qualified assessors to produce consistent judgments and evaluate multiple aspects of SCP. The framework includes practical indicators to help measure outcomes, such as cost efficiency and flexibility.

This paper sheds light on the assessment dimensions based on the EFQM model. Assessors can conduct an objective and standardized assessment using these multiple dimensions. This paper expands the traditional concept of SCP performance into both tangible and intangible performance by emphasizing output and outcome.

The purpose of this paper is to present a framework for prioritizing intellectual capital (IC) indicators, as well as suggesting key improvement areas by using the Delphi approach and analytic hierarchy process (AHP) analysis.

The effectiveness of the framework is demonstrated through the case study of a public sector research and development organization.

This paper identifies three major characteristics of the framework: weighing indicators that should be based on an organization's strategies and contexts; employing multiple processes (Delphi and AHP approaches) which can overcome the limitation of a single methodology; and providing a visual map that can help management identify which indicators and related activities need attention and should be improved.

This research contributes to the literature and practices in several ways. First, this paper provides a practical and operational guideline on how to engage in IC management efficiently. Second, the authors try to integrate IC management into traditional management tools (e.g. quality management) by employing the concept of an operational feedback process and three screening processes. Third, this paper tests the possibility of using a Delphi approach in prioritizing IC indicators.

The purpose of this study is to propose a performance realization framework based on key factors of ISO 9000 implementation.

A three‐stage approach of a systematic review is employed to examine the literature and develop the framework. The review is concentrated on three research topics: motivations; critical success factors; and impacts of ISO 9000 implementation.

This study identifies five motivation factors (quality‐related; operations‐related; competitiveness‐related; external pressure‐related; organizational image‐related factors) and ten critical success factors (leadership; training; involvement of everyone; organizational resource; quality‐oriented culture; customer‐based approach; process‐centered approach; communication and teamwork; customizing the ISO requirements; quality audit). This study also develops a performance realization framework composed of three parts: conversion; enhancement; and competitive priority stages.

This study contributes to the development of the literature by providing a set of motivation factors and of critical success factors that can assist practitioners to effectively implement the standard. Further, the proposed framework helps to explain causal relationships among ISO 9000 impacts and provide guidelines about critical considerations.