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Lean manufacturing (LM) concepts have been widely adopted in diverse industrial sectors. However, no literature review focusing on case studies describing LM implementation is available. Case studies represent the actual implementation and provide secondary data for further analysis. This study aims to review the same to understand the pathways of LM implementation. In addition, it aims to analyse other related review questions, such as how implementing LM impacts manufacturing capabilities and the maturity level of manufacturing organisations that implemented LM, to name a few.

A literature review of case studies that discuss the implementation of LM during the last decade (from 2010 to 2020) is carried out. These studies were synthesised, and content analyses were performed to reveal critical insights.

The implementation pattern of LM significantly varies across manufacturing organisations. The findings show simultaneous improvement in manufacturing capabilities. Towards the end of the last decade, organisations implemented LM with radio frequency identification, e-kanban, simulation, etc.

Reviewing the case studies documenting LM implementation to comprehend the various nuances is a novel attempt. Furthermore, potential future research directions are identified for advancing the research in the domain of LM.

This study examined the reciprocal influence of demand learning and preference matching in the context of store brand customization. The demand-learning effect refers to the collection of market demand information through production, based on pre-order demands, enabling retailers to accurately predict and allocate product quantities, thus improving inventory management. The preference-matching effect involves engaging consumers in the production and design processes of store brands to align fully with their preferences, thereby increasing the purchase impact of store brand products and promoting consumption.

We employ game-theoretic models to analyze a two-echelon supply chain consisting of a manufacturer and a retailer. The retailer offers both national brands, manufactured by the supplier and in-house store brands. To enhance their competitive edge, the retailer can adopt a customized strategy targeting the store brand to attract a wider consumer base.

The analysis reveals that, under low commission fees, the manufacturer consistently opts for high production quantities, irrespective of the level of demand uncertainty. However, when the perceived value of a store brand is low and demand uncertainty is either low or high, the retailer should choose a minimal or zero production quantity. The decision-making process is influenced by the customization process, wherein the effects of demand learning and preference matching occasionally mutually reinforce each other. Specifically, when the perceived value of a store brand is low, or the product cost is high, along with high customization costs, the interplay between demand learning and preference matching becomes mutually inhibiting. Consequently, the significance of store brand customization diminishes.

This study enhances the current body of knowledge by providing a deeper understanding of the theoretical value of store brand customization. In addition, it offers valuable decision-making support to enterprises by assisting them in selecting appropriate inventory and customization strategies.

This study draws on Organisation Justice Theory and Social Exchange Theory to examine the effects of the performance appraisal process (PAP) on employee commitment (ECO) via a serial mediation of performance appraisal outcome (PAO) and employee reward (ERE).

Survey data were collected from a sample of 363 academics across UK Higher Education Institutions (HEIs), including post-1992 and pre-1992 universities. We tested our hypotheses using partial least squares structural equation modeling (PLS-SEM) with a bias-corrected bootstrapping method.

The findings show that the PAP positively influences ECO and ERE. PAO and ERE mediate the relationship between the PAP and ECO. However, no significant relationship was found between PAO and ECO.

This study has significant implications for HEIs as it underscores the need for managers to ensure the clarity and accuracy of the PAP and to structure rewards to reflect employees’ efforts, considering they affect ECO.

This study contributes to the current debate on performance appraisal by highlighting the extent to which employees’ commitment to an organisation depends on the PAP, PAO and reward.

The current study seeks first to examine the prediction of school functioning in crises during the COVID-19 pandemic by school principals’ self-efficacy; second, to explore the differences in all dimensions of self-efficacy and school functioning during crises in Arab and Jewish schools in Israel and third, to determine which of school principals’ self-efficacy dimensions best predicted school functioning during the COVID-19 crisis.

Data were aggregated at the school level for structural equation modeling (SEM) analysis using AMOS analysis of 103 middle schools across Israel, 53 from Jewish and 50 from Arab society. Participants included 103 school principals (who answered the school principals’ self-efficacy questionnaire) and 1,031 teachers who answered the school functioning during crises questionnaire (477 Jewish teachers and 554 Arab teachers).

The findings showed that the principals’ self-efficacy positively predicted school functioning during the crisis. Among the five self-efficacy dimensions (general management efficacy, leadership efficacy, human relations efficacy, efficacy in managing external relations and pedagogical management efficacy), significant differences were found only in “external relations efficacy,” which was higher for “Arab” school principals; the only dimension that predicted school functioning during crises in both societies was “human relations efficacy.”

The current results emphasize the importance of principals’ self-efficacy in general and specifically caring leadership practices “human relations efficacy” in their relations with the school staff, the students and the parents for effective school coping and functioning during crises in two societies in Israel: Arab and Jewish. Further, no previous studies have explored this correlation.

This paper aims to build upon the accountability pyramid model by presenting two studies that examine the dimensionality of individual accountability among Amazon Mechanical Turk (MTurk) gig workers.

For the first study, aimed at investigating the dimensionality of individual accountability of gig workers, the authors collected data from MTurkers by administering two surveys in the English and Mandarin Chinese languages with 185 respondents. The authors implemented principal component analysis and confirmatory factor analysis to analyse the data. For the second study, aimed at establishing validation of the dimensionality found in the first study, the authors collected data from an additional 148 respondents.

The results indicated that the intensity and salience dimensions merged into one factor that the authors labelled Accountability Significance, while the process and outcome dimensions merged into one factor labelled Accountability Focus. Additionally, the authors found that individual accountability is a second-order construct encompassing Accountability Significance and Accountability Focus as first-order factors. The authors validated the findings in the second study.

To the best of the authors’ knowledge, this research is the first quantitative study investigating the individual accountability of gig workers. The validation of individual accountability in MTurkers offers valuable insights into MTurkers’s Hybrid Accountability Focus and Accountability Significance.