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The purpose of this paper is to determine the critical factors (CRFs) of IS/ISO/IEC 17025:2005 laboratory accreditation and indicators of the performance (IOPs) in the testing/calibration laboratories. The impact of accreditation on the performance is analyzed using the level of presence of critical factors that can be used to benchmark the best practices in the accredited testing and calibration laboratories.

A questionnaire is designed on the basis of an extensive literature review on laboratory accreditation and performance. Based on the responses from pilot study, the developed instrument is tested for its unidimensionality, reliability and validity. Multiple regression analysis is carried out to analyze the impact of critical factors on the IOPs.

The findings reveal that the six distinct critical dimensions of laboratory accreditation (which are the independent variables) have a significant impact on the performance of the accredited testing/calibration laboratories. The performance is measured by the dependent variables which are the IOPs. The customer satisfaction, employee satisfaction, laboratory performance, image of the laboratory, the number of increased customers and loyalty of the existing customers are highly influenced by the accreditation which in turn improves the performance to gain the competitive advantage.

Contribution to research is in the area of laboratory accreditation and the performance measurement by the development of a comprehensive instrument to analyze the Laboratory Quality Management System. The results are dependent on the number of respondents who are the quality/technical managers.

This instrument would enable the accredited laboratories to analyze their performance through the feedback from the quality/technical managers to gain credibility and to continually improve and benchmark the quality management system in alignment with the quality policies.

This paper proposes an instrument to measure and benchmark the performance of the accredited testing and calibration laboratories.

The manufacturing sector is highly competitive and operationally complex. Therefore, the strategic alignment between operational excellence methodologies and Industry 4.0 technologies is one of the issues that need to be addressed. The main aim of the study is to determine the critical factors of strategic alignment between operational excellence methodologies and Industry 4.0 technologies for manufacturing industries and make comparative analyses between automotive, food and textile industries in terms of strategic alignment between operational excellence methodologies and Industry 4.0 technologies.

First, determining the critical factors based on literature review and expert opinions, these criteria are weighted, and analytical hierarchy process is run to calculate the weights of these criteria. Afterward, the best sector is determined by the grey relational analysis method according to the criteria for the three manufacturing industries selected for the study.

As a result of AHP, “Infrastructure for Right Methodology, Techniques and Tools, is in the first place,” Organizational Strategy, is in the second place, while the third highest critical factor is “Capital Investment”. Moreover, based on grey relational analysis (GRA) results, the automotive industry is determined as the best alternative in terms of strategic alignment between operational excellence (OPEX) methodologies and I4.0 technologies.

This study is unique in that it is primarily possible to obtain the order of importance within the criteria and to make comparisons between three important manufacturing industries that are important for the economies of the world.

With risk defined as the possibility of deviation in the results from the expected goals, business process reengineering (BPR) initiatives clearly involve risk taking. However, due to the high expected returns of such efforts, the acceptable risk levels of BPR will tend to be greater than those of less ambitious projects. This research reports the development of a tool to quantitatively estimate the potential risk level of a BPR effort before an organization commits its resources to that effort. The underlying research employed a survey of BPR‐experienced organizations to collect assessment information in order to build a BPR risk estimation model. The developed tool uses triangular fuzzy numbers to approximate the degree of success/failure of proposed BPR initiatives. The tool can be applied by any organization contemplating BPR, thus giving such organizations a heretofore unavailable estimate of the risk level of proposed BPR efforts. Validation was performed based upon an 18‐month BPR project conducted at the Missouri Lottery.

This paper aims to map literature about innovation capabilities (IC) taking into consideration industrial clusters to propose a conceptual framework that synthetizes the main factors and subfactors responsible for ICs; in addition, the paper also proposes a research agenda.

A systematic literature review (SLR) was performed; academic papers were analyzed qualitatively and quantitatively.

The authors provide a descriptive analysis followed by a thematic synthesis, in which we present 05 enablers and 20 critical factors (CF) of IC in clusters. The proposed framework emphasizes what needs to be done or improved to increase IC in cluster-based companies. Based on this systematic review and the framework proposed, the authors identified opportunities for future research.

The enablers and CF identified through SLR were not validated empirically. Therefore, future studies on the current topic are required to validate the framework by investigating which factors are more relevant to cluster-based companies that intend to improve their innovative performance.

The present findings have important implications for the identification of the factors and subfactors that may contribute to the development of IC, which may help managers and decision-makers in recognizing which factors are the most responsible for business innovation.

The paper identifies enablers related to the development of IC in industrial cluster and presents a research agenda. The framework represents a guideline for companies to achieve better innovation performance.

This study aims to identify the stakeholders and critical factors (CFs) of promoting age-friendly communities (AFCs), discuss the relationship between the stakeholders and CFs and develop a preliminary framework for the briefing stage of promoting AFCs in urban China.

Stakeholders and CFs were identified through literature review and document analysis. The Delphi method was used to screen the extracted stakeholders and CFs. The focus group methodology was applied to obtain evaluation matrices of relationships between stakeholders and CFs. A two-mode social network was formed to analyse the evaluation matrices generated.

Results of the analyses indicate that local governments and policymaking institutions, together with project investors, obtained high prioritisations in the stakeholders' group, whilst senior citizens and caregivers appear to rank last. For CFs, communities' environmental factors receive the most attention from stakeholders.

Results of the analyses can only show similarities of the participating stakeholders' opinions on their concerns, and provide researchers and practitioners with initial ideas on analysing stakeholders and CFs at the briefing stage of promoting AFCs. For a specific project, the concerns and prioritisations would change. Diverse voices are necessary and case studies are in need.

Challenges in promoting AFCs in urban China are discussed, and a preliminary framework of the briefing stage is developed for practitioners to follow when promoting AFCs.

This study discusses which CFs should be considered priorities and what consensuses are generally reached by stakeholders. CFs are utilised to interpret stakeholders' relationships, influences and concerns on AFC projects when conducting the social network analysis (SNA).

With the advent of technological connectivity and access to massive data, the possibilities of augmenting Lean Six Sigma’s Define-Measure-Analyze-Improve-Control (LSS’s DMAIC) problem-solving approach with advanced technologies are enormous. This paper aims to examine digital transformations (DT) of supply chains from a process improvement angle using the LSS DMAIC approach.

This paper uses a case study approach. Three exemplary case studies were examined to shed light on how LSS can aid in DT to achieve enterprise-wide improvements and enhance value across the supply chains.

The paper provides a conceptual framework based on a structured DMAIC problem-solving approach to drive improvements in supply chains. The conceptual framework also provides a systematic approach for big data to be integrated in LSS initiatives to achieve greater supply chain performance.

This paper extends research in LSS supply chains by providing a guidance through a conceptual framework that integrate DT and LSS supply chains to support successful digital transformation and LSS supply chains.

The purpose of this paper is twofold: first, to examine the link between behavioural and personality traits of firm representatives and bribery in the case study of Vietnam; second, to study whether corruption is associated to firm performance through managers’ personality traits.

This study uses novel data from micro, small and medium firms in Vietnam for investigating the relationship between behavioural and personality traits of representatives of firms and bribery. Stratified sampling method is employed to ensure an adequate number of firms in each province with different ownership types. Ordinary least squares and logistic estimation techniques are used in this analysis.

This paper finds that traits of risk loving and innovativeness are positively associated to the likelihood of paying bribe whereas managers’ internal locus of control is negatively related to the probability of paying bribe. This paper reveals that managers, who have risk loving characteristics and get engaged to bribe payments, are related to lower firm performances.

Despite the fact that this paper provides robust and statistically significant empirical analysis, results from this paper are constrained with use of cross-sectional survey data, which has been conducted in 2015. Although this paper can provide strong correlations, it does not establish causal linkages and one should therefore be careful in interpreting the observed patterns as causal impacts.

The role of managerial personality traits in corruption interactions has not yet been explicitly proposed and empirically investigated. This paper attempts to fill this void by examining the relationship between managerial traits and corruption tendencies among SMEs in Vietnam.

Though affective commitment has been thought to be critical in team selection, it is yet to be integrated into current models on team selection primarily due to lack of understanding of its contribution to teamwork effectiveness and performance. This study tests the contribution of complementary person team-fit (CF), supplementary person team-fit (SF) and affective commitment (AC) to teamwork effectiveness in construction project teams. By this examination, a theoretical case is made for the inclusion of affective commitment in team selection and deployment in construction project delivery.

By using a deductive questionnaire survey on project team participants and experienced human resource managers in recruitment and team selection in project organizations, structural equation model (SEM) was used to test the contribution of CF, SF and AC parameters to teamwork effectiveness from a total of 105 responses gathered from project team participants in project delivery.

The SEM revealed that, CF, SF and AC together account for about 81% predictive effect to teamwork effectiveness which is higher than joint effect of CF and SF in existing models in team selection and deployment. By this, it can be affirmed that, in considering CF, SF and AC in an integrated manner in team selection and deployment, higher team effectiveness can be achieved that can stimulate high performing teams and effectiveness in project delivery.

The findings give theoretical assertiveness to extending consideration of competence and values in team selection to embrace affections and commitment to engender effectiveness in teamwork, cohesion, collaboration and performance. This present novel attempts to include affective commitment in teamwork toward higher team effectiveness.

This paper aims to increase the understanding of social and technical factors contributing to successful supplier‐retailer collaboration. The objective is to identify the necessary supply chain architecture for supplier‐retailer collaboration, and demonstrate how it influences supply chain performance.

Five pairs of suppliers and retailers in Taiwan were studied with each pair serving as a unit of analysis. In each case, data pertaining to eight relationship variables critical to collaboration between supplier and retailer were collected and analyzed. A comprehensive supplier‐retailer relationship model is developed with five specific research positions: supplier‐retailer business relationship (interdependence, intensity, trust) affects long‐term orientation; supplier‐retailer business relationship affects supply chain architecture (information sharing, inventory system, information technology capabilities, coordination structure); long‐term orientation affects supply chain architecture; supply chain architecture affects the level of supplier‐retailer collaboration; and supplier‐retailer collaboration enhances supplier‐retailer performance.

Overall, with the exception of duration, all variables are found to be critical to supplier‐retailer collaboration. It is the intensity, as opposed to the duration, of the relationship that influences the retailer‐supplier relationship.

The proposed model demonstrates how eight critical social and technical variables are directly and/or indirectly related. This knowledge will enable the management of supplier‐retailer networks to produce better supply chain collaboration and performance.

The purpose of this paper is to formulate the strategy for improving the laboratory practices to enhance customer satisfaction by analyzing the performance of critical factors of IS/ISO/IEC 17025 (2005) laboratory accreditation and the importance attached by the quality/technical managers in the accredited Indian testing/calibration laboratories.

The perceptions of the critical factors of laboratory accreditation and the importance attached by the quality/technical managers in their organizations have been collected and analyzed to develop an importance-performance analysis (IPA) model to enhance the customer satisfaction.

Findings report that the performance of the critical factors and the importance assigned to them are not the same. There exist gaps between the performance and importance which need to be measured and analyzed by the management to strive toward continual improvement to enhance the customer satisfaction through the accredited testing and calibration services.

This study is restricted to 54 responses out of 150 which were sent (i.e. about 36 percent response rate) to capture the perspectives of the quality/technical managers.

This study would enable the accredited laboratories to analyze the gap in performance and the importance assigned to critical factors through the feedback from the quality/technical managers. By analyzing the strengths and weaknesses in the accredited testing/calibration laboratories, managerial decisions and strategic plans can be proposed to gain greater insights into benchmarking improvement of the laboratory quality management system with the existing resources to strive toward customer satisfaction.

This paper proposes IPA as a tool to assess the gap between the importance and performance of critical factors of accredited testing and calibration laboratories in India.