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This research aims to examine the influence of transformational leadership on employee efficiency. The research also examines the role of knowledge sharing as a mediator between transformational leadership and employee efficiency.

The research is based on the survey conducted among 200 employees of logistics firms. Exploratory Factor analysis (EFA) and Confirmatory Factor Analysis (CFA) approaches are used for the evaluation.

The study found that transformational leadership has positive and significant influence on employee efficiency. The research also demonstrates that after introducing knowledge sharing, it fully mediated the influence of transformational leadership on employee efficiency. The study suggests that, if leaders share their knowledge and expertise among the team, employees have a propensity to be highly effective and efficient than without knowledge sharing.

Blue collar staff and unskilled labors of the firms are not included in the study. So, the study is limited to white collar staff only which can further be expanded by considering other ground staff. Also few or no such researches have been conducted in logistics firms, particularly in Indian logistics firms. So, the result of this study can be used as reference to explore the area. This study can be replicated in the logistics firms of other regions also.

The finding of the study will help the top management of the organizations to formulate strategies to enhance its senior-subordinate relationship through knowledge sharing. The study also suggests that regular dissemination of knowledge among the team improves the efficiency of the team members and hence the performance of the organization.

This research examines the degree to which knowledge sharing acts as a mediator between transformational leadership and employee efficiency, which has not been found in previous studies.

This paper aims to estimate the influence of HR practices and theories on organizational sustainability. The research also examines the role of innovation as a mediator among the relationship of HR practices and theories and organizational sustainability.

The research is based on the survey conducted among 386 employees of logistics firms across India. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) approaches were used for analysis. Approach proposed by Baron and Kenny (1986) was used to test the mediating effect.

The study finds that HR practices and theories have positive and significant influence on organizational sustainability. The research also reveals that after introducing innovation as a construct, it partially mediated the association of HR practices and theories and organizational sustainability.

The study inspects the extent to which innovation can acts as a mediator between the relationship of HR practices and theories and organizational sustainability in logistics sector in India, which has not been established in past studies.

This research focuses on suggesting an optimized model for selecting best employees using advanced multi-criteria decision making method to a supply chain firm, who is planning to start a new cold chain business vertical.

Study has been conducted in a supply chain firm in North India, who wants to expand its business with the help of efficient team members. In total 38 applicants were considered for the study, as selected by the firm after initial screening from pool of talent. AHP-LP and TOPSIS-LP integrated approach were applied separately for evaluation and implementation of personnel selection model. Further, both the approaches were compared to find the best fit and optimized model.

As per the findings, both AHP and TOPSIS can be used to select the best candidate among the alternatives available. TOPSIS was found easier to implement as it involves ranking of applicants with respect to each skills required for respective job profile only once, whereas AHP involves pair-wise comparison among candidates with respect to each skills required for respective job profile and normalization of each comparison, resulting in the formation of number of comparison matrices. However, AHP is more reliable as it considers consistency check for each level of pair-wise comparison. Hence, there is a chance to avoid or revise the human judgment error. Integrated ranking and optimization approach minimizes the cost by suggesting the relevant positions to be filed to make an efficient team.

Group of interviewers are involved in the decision-making process, hence there are chances of biasness in ranking method which can influence the group decision. Research is limited to a particular geography of North India therefore needs to be tested for other regions also in order to generalize. The research will help the third party logistics (3PL) and other related firms in efficient team selection.

The researcher focuses on formalizing a method for potential candidate selection by considering the constraints of the organization. It has been observed that limited researches have been done on the application of AHP-LP or TOPSIS-LP integrated approach for selection process. Hence, this research proposes two integrated ranking-optimization method and suggests the best fit by comparing both the approaches.