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The purpose of this study was to explicate how leaders’ knowledge hiding results in employees’ knowledge hiding. In addition, the study was intended to explore under what conditions leaders’ knowledge hiding affects employees’ moral disengagement more deleteriously.

Data were collected from 321 employees at three different times which were two months apart from each other. Structural equation modeling was used for data analysis.

The study found leaders’ knowledge hiding to be related to employee moral disengagement. In addition, the study found moral disengagement to affect employees’ knowledge-hiding behavior. Moral disengagement was found to mediate the relationship between leaders’ knowledge hiding and employees’ knowledge hiding. Finally, the study found that employees with high moral identity show more perseverance to preserve their moral engagement when led by knowledge-hiding leaders.

To the best of the authors’ knowledge, the study was first to establish a relationship between a leader’s knowledge hiding and employees’ moral disengagement. The study also established the mediating role of moral disengagement to work as a mediating mechanism linking leaders’ knowledge hiding to employees’ knowledge hiding. Finally, the study found that moral identity moderates the relationship between leaders’ knowledge hiding and employees’ moral disengagement.

This study aims to unfurl the mediating role of facets of voice behavior. The study also unearths the relationship between servant leadership and voice behavior.

The data were collected from follower manager dyads in two waves of data collection initiated after the completion of the preceding wave. The final sample size obtained was 312.

The study found servant leadership to be related to innovative work behavior and facets of voice behavior. The study also found promotive voice behavior and preventive voice behavior to be related to the innovative work behavior of employees. The study found promotive voice behavior and prohibitive voice behavior work as parallel mediators linking servant leadership to the innovative work behavior of employees.

To the best of the authors’ knowledge, this study is the first to unearth mediation linking servant leadership to innovative work behavior through both facets of voice behavior.

This study aims to analyze the connection between servant leadership and the promotive and prohibitive voice behavior of employees. In addition, this study explained how servant leadership affects promotive and prohibitive voice behavior through meaning.

For this study, data were collected from employee–manager dyads employed in the service sector. Each of the waves was initiated two months after the first wave. Finally, 286 useful responses were obtained. The collected data was analyzed through covariance-based structural equation modeling.

Servant leadership is related with meaning, promotive voice behavior and prohibitive voice behavior. Meaning is found to mediate the relationship between servant leadership and the two facets of voice behavior.

To the best of the authors’ knowledge, this study is the first to explore the mediating role of meaning relating servant leadership to promotive and prohibitive voice behavior.

This study aims to ascertain the role of servant leadership in affecting the knowledge hiding behavior of employees. This study also unfurled the mediating role of prosocial motivation and moderating role of cynicism.

The data were collected from 324 employees working in the IT sector, a subsector of the service sector of Pakistan in two phases. The data was analyzed through hierarchal regression.

This study found servant leadership to be negatively related to knowledge hiding behavior. This study also confirmed the mediating role of prosocial motivation linking servant leadership to knowledge hiding. Finally, cynicism was found to moderate the relationship between servant leadership and knowledge hiding behavior.

This academic endeavor has confirmed the previously unexplored relationship between servant leadership and knowledge hiding behavior. Additionally, the study has explicated the mediating role of prosocial motivation in the said relationship. This study has also found that the relationship between servant leadership and knowledge hiding is moderated by organizational cynicism.

The aim of this study is to investigate how green supply chain management (GSCM) practices mediate the effect of Industry 4.0 technologies on operational and green innovation performances.

To explore the study, data were collected from 225 different manufacturing industries in Pakistan. Gathered data were used to test the hypotheses using SmartPLS 3 software by using structural equation modeling.

The findings reveal that operational and green innovation performances are directly affected by the adoption of Industry 4.0 technologies and GSCM practices. Furthermore, the GSCM practices positively affect operational and green innovation performances. The study also investigated that the GSCM practices partially mediate the effect of Industry 4.0 on operational and green innovation performances.

This study has some limitations, the data of this study were majorly collected from large enterprises of Pakistani firms and related to the manufacturing sector only. So, there is a huge need for attention toward small and medium-sized enterprises (SMEs). Very few researchers are focusing on SMEs, so future research can be on SMEs. It can be suggested that the relationship between digital technologies and green innovation performance can be tested through a quantitative procedure. Moreover, the effect of GSCM's aspects can be estimated on manageable execution.

Through the mediating relationship of GSCM practices, this research has made a unique contribution by investigating the influence of Industry 4.0 on operational and green innovation performances. To the author's knowledge, no research has been undertaken in this area.

The desire of international retail brands to implement sustainable supply chain practices in the fashion value chain and improve suppliers' sustainability efforts; this research paper elucidates the relationship between blockchain technology and sustainability to impact apparel firms' triple bottom line.

For studying the impact of sustainable supply chain practices on the triple bottom line, a survey questionnaire was chosen and sent out to 500 garment companies simultaneously, of which 371 responded. The data collected is cross-sectional. The questionnaire survey was developed keeping in mind a few demographic elements such as experience, age and qualification to generalize the findings. For analysis, SmartPLS is used to run model structuring and regression analysis.

Test runs on model structure confirm the instrument's validity and reliability. Bootstrapping on the theoretical model to test developed hypotheses suggests that supply chain sustainability practices positively affect social, environmental and economic performance in a direct relationship. Further, indirect relation testing conducted to test blockchain technology's moderation influences only the constructs' relations.

The clubbing of sustainable supply chain practices and blockchain technology is a novel idea in the apparel industry; however, there are more constructs in the context of practice-based theory and supply chain which impact firm performance. Also, the research limits itself from discussing IT infrastructure and smart contract types that impact the technology's performance.

The study provides a framework for interpreting the synergetic influence of SSCP on firm social, environmental and economic performances, which is demanded both by consumers and regulators in an industry. The results suggest that managers sustainably design the production ecosystem, thus eliminating any discrepancy or slackness in the complete chain. Usually, suppliers are ignored, which are precursors in implementing SSCP.

The paper studies sustainability problems through ecological modernization theory and practical-based theory giving a unique perspective on the issue faced by the apparel industry and combining sustainable supply chain practices and blockchain.