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The purpose of this paper is to make a comparative assessment of the relationship between types of pay plans and several workforce‐level outcomes in 214 organizations. The plans include pay that is skill‐based, job‐based, and market‐based. The types of workforce‐level outcomes include workforce flexibility, attitudes, membership behaviors, and productivity. The paper also assesses the relationship between the success of pay plans and workforce productivity/membership behaviors.

Survey data from 214 organizations are used to test the hypothesized relationships using hierarchical regression analysis and partial least square techniques.

Results support a significant and positive relationship between skill‐based pay plans, workforce flexibility, and workforce attitudes. Skill‐based pay plans, when compared with market‐based pay plans, are found to positively relate to workforce membership behaviors, and workforce attitudes mediate this relationship. Similarly, workforce flexibility mediates the positive relationship between skill‐based plans and workforce productivity. The success of skill‐based plans depends on significant improvements in workforce productivity and membership behaviors. The fit between the pay plan and the facility's climate/culture moderates the relationship between workforce productivity and the pay plan's success.

The results indicate that skill‐based pay plans are superior for achieving several organizational and employee outcomes. The authors discuss the implications of these results for research and practice.

Limited comparative empirical evidence exists on the effects of different types of pay systems on organizational outcomes. The paper seeks to address this gap.

Based on the existing literature in the field of green supply chain management (GSCM), the purpose of this paper is to find essential to conceptualize and develop an efficient appraisement platform for the purpose of benchmarking green alternative in supply chain network.

The authors explored multiple approaches, i.e. Višekriterijumsko kompromisno rangiranje (VIKOR), simple additive weighting (SAW) and grey relational analysis (GRA) by amalgamating fuzzy sets theory to select the most appropriate alternative for GSCM. The work is supported by triangular fuzzy number sets to choose the green alternative industry among available industries, while dealing with the uncertainty and vagueness in GSCM. A case study is exposed to identify strong and weak indices and to exhibit the feasibility of the proposed work.

It is requisite by the managers of many firms to identify the strong and weak indices relating their firms. Thus, the authors presented an approach for measuring and appraising the performance of the selected green alternative by determining the strong and weak indices. The presented work illustrates the performance measurement model that identifies comprehensive GSCM practices of the firms. The presented work incorporates green supply chain activities to support environmental sustainability throughout the supply chain.

GSCM is necessary to the firms, as it considers impact onto the environment due to their supply chain activities. The authors build decision support system to facilitate the managers of various firms for modeling green practices in their decision making. The authors attempt to devise a conceptual framework linked with knowledge-based theory.

The authors conceptualized VIKOR, SAW and GRA methodology to rank and benchmark the green performance of distinguish alternative industries among available industries. Additionally, the performance measurement model for the selected significant green alternative is presented for determining the strong and weak indices.

This study aims to examine the research productivity and network visualisation on reproductive health (RH) domain with several bibliometric indicators and applied visualisation approach in co-authorship, citation, co-occurrence of keywords and bibliographic coupling analysis in the area of RH.

This study used bibliometric indicators to determine the highly productive authors, source title, documents and organisations. This study used Web of Science database and retrieved a total of 18,186 scientific publications on the domain of RH published during the period of 2010–2020. Data analysis was also performed using VOS viewer software and RStudio.

The findings discovered the increasing trends of research publications in reproductive health in past ten years. The USA UK, China and Australia were the top four productive countries in terms of publishing research in the arena, and “Kishsin DM” and “Hauser R” have secured in top two positions under highly prolific authors category. University of California, Harvard University and University of London were observed under the top three productive institutions in the domain. This study also revealed association and collaboration among authors, country and institutions in the visualisation analysis. The core findings of co-occurrence of keywords emphasised that “RH,” “assisted reproductive technology,” “women,” “pregnancy” and “in-vitro fertilization” were established frequently used keywords and have robust link strength.

The findings will be helpful to the researchers to know about the status of latest trends and development of the domain. This study is also helpful to the library authority for collection development in the specific subject domain.

To the best of the authors’ knowledge, there was no past study found on the evaluation of research productivity and network visualisation in the domain of RH, which is a globally important issue.

The main purpose of present study is to model the replacement policy under uncertainty for managerial application based on grey-reliability approach by considering the subjective views of quality control circle (QCC). The study objectively links the optimality between individual replacement and group replacement policies for determining the minimum operational costs. The integrated framework between QCC, replacement theory, grey set theory and supply chain management is presented to plan replacement actions under uncertainty.

The study proposes the concept of grey-reliability index and built a decision support model, which can deal with the imprecise information for determining the minimum operational costs to plan subsequent maintenance efforts.

The findings of the study establish the synergy between individual replacement and group replacement policies. The computations related to the numbers of failures, operational costs, reliability index and failure probabilities are presented under developed framework. An integrated framework to facilitate the managers in deciding the replacement policy based on operational time towards concerning replacement of assets that do not deteriorate, but fails suddenly over time is presented. The conceptual model is explained with a numerical procedure to illustrate the significance of the proposed approach.

A conceptual model under the framework of such items, whose failures cannot be corrected by repair actions, but can only be set by replacement is presented. The study provides an important knowledge based decision support framework for crafting a replacement model using grey set theory. The study captured subjective information to build decision model in the ambit of replacement.