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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…
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…
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.