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The purpose of this paper is to develop a framework for measuring retail productivity. It intends to identify all the constituents of retail productivity exhaustively, along with their measures and integrate them with a comprehensive model.

The paper summarizes the significant empirical works from the literature along with their study methods and identifies the gaps. The proposed methodology is a combination of various exploratory methods consisting of secondary data analysis, group interviews, depth interviews, observation and questionnaire survey.

A regression‐based conceptual model including each of the output and input variables of retail productivity. It also provides conception logic and measurement method for each of the variables. It identifies the control parameters too and proposes to handle them in the model. The empirical validation provides the significance of various input parameters.

The empirical validation is restricted to one retail format and one vertical (medium‐sized stores and apparel‐life style vertical). However, it provides significant input regarding the way to utilise retail productivity and the strategic directions to improve store level productivity.

The most significant usage of the model is the standardization of retail productivity concept as a performance measurement tool and its applicability in individual retail stores (micro level). Hence, it is possible to determine the reasons for performance of retail stores and develop appropriate as well as effective strategies. The identification and elaboration of the various parameters of retail productivity would help retailers to redefine and focus on key decision areas.

The paper presents the exhaustive framework for retail productivity with data from the Indian retail sector that is applicable at micro level. It provides direct measure of value component (services) in retail output determination.

The purpose of this paper is to evaluate the multi-layer effect of transformational leadership (TL) on employee-related outcomes, i.e. relational identification (RI) and satisfaction with leader (SWL). Further, role of leader member exchange (LMX) and the association period in between TL and RI as well as SWL shall also be examined. So, the present paper attempts to evaluate the moderated-mediated effect of TL on RI and SWL.

The model has been tested in the higher education sector. Information regarding TL, LMX, SWL and RI has been procured from teachers. The data have been duly validated with the help of confirmatory factor analysis. Reliability has been assessed through Cronbach’s α and composite reliability. Structural equation modelling has been used for testing the hypotheses. Moderation has been checked through multi-group analysis.

The results indicate that association period moderates the TL and LMX relationship. LMX mediates the TL and RI and SWL relationship. Finally, moderated- mediated impact of TL on RI and SWL have been found. Managerial, practical, social, economic implications and scope for future research have also been discussed.

This study represents a cross-sectional investigations as responses were gathered from respondents at a particular point of time. Moreover, the study is confined to government degree colleges operating in Jammu district only. In future longitudinal study can be conducted. Comparative study between private and public colleges can be undertaken in future.

Leaders should focus on creating positive environment, where personal work goals of the subordinates are linked with organisational goals, with the help of role-person integration. Leaders should make their decisions more transparent by exhibiting consistency in their logic and reasoning. Remaining impartial in decision making will help leaders to instil trust and respect in the minds of subordinates. Trust among the followers can be increased through commitments and achievement of goals. Leaders should create more enthusiasm and optimism amongst the employees.

Leaders in education institutes should create social and emotional learning environment in the colleges. This can be done by arranging informal meetings, some kinds of fares, painting competitions and festive celebrations at collaborative level. This strategic action will help to provide an opportunity to all employees’ to come forward in an informal friendly environment, which will help to reduce stress, anxiety, and depression; and improve the quality of relationship and ultimately enhance satisfaction among followers’ with respect to their leaders. The followers work for the achievement of departmental as well as the organisational goals in collaboration with their leaders.

The paper has evaluated the moderation of association period between TL and LMX relationship in higher education sector which has not been explored earlier in leadership studies. Many studies have evaluated the direct impact but moderated-mediated impact of TL on RI and SWL has not been evaluated earlier, which will contribute equally to academic as well as business world.

The relationship between idiosyncratic risk and stock return has been debated for decades; this study reexamined this relationship in the Pakistani stock market by using the quantile regression approach along with the prospect theory.

The present study is quantitative, and secondary data obtained from an emerging market are used. The quantile regression method allows the estimates of idiosyncratic risk to vary across the entire distribution of stock returns, i.e. the dependent variable. In this study, the standard deviation of regression residuals from the Fama and French three-factor model was used to measure idiosyncratic risk. Convenience sampling is employed; the sample consists of 82 firms listed on the KSE-100 index, with 820 annual observations for the ten years from 2011 to 2020. After computing results by using quantile regression, the study's findings, ordinary least squares (OLS) and least sum of absolute deviation (LAD) regression techniques are also compared.

The quantile regression estimation results indicate that idiosyncratic risk is positively correlated with stock returns and that this relationship is contingent on whether prices are rising or falling. Consistent with the prospect theory, the finding suggests that stock investors tend to avoid risk when they anticipate a loss but are more willing to take risks when they anticipate a profit. The results of the OLS and LAD regressions indicate that the method typically employed in previous studies does not adequately describe the relationship between idiosyncratic risk and stock return at extreme points or across the entire distribution of stock return.

These empirical findings shed new light on the relationship between idiosyncratic risk and stock return in Pakistani stock market literature.

Emerging nations strive to diminish their ecological impact to meet net-zero targets, yet encounter formidable hurdles in curbing their environmental footprint. This purpose necessitated the study into impact of stock market, renewable energy and international investment on the ecological footprint in emerging countries from 1990 to 2020.

The study used augmented mean group (AMG) estimator, cointegration and heterogenous panel causality approach.

Results from the AMG show that renewable energy consumption reduces environmental pollution in most countries except Mexico. The study disclosed that stock market capitalization decreases ecological footprint in emerging countries. Using both the Kao and Pedroni cointegration methods, the study affirms the existence of stable equilibrium relationship in the long term. The causality test concluded a bidirectional relationship between stock market and ecological footprint and a unidirectional link between international investment, clean energy and ecological footprint.

The research is limited to only emerging countries. Therefore, future research should examine the environmental impacts of renewable energy consumption in different countries and regions, taking into account the local environmental conditions, policies and practices. This would help to identify the best practices and standards for minimizing the ecological footprint of renewable energy technologies and maximizing their benefits for environmental sustainability.

The study found that stock market capitalization reduces ecological footprint in Brazil, China, Turkey and India. To foster a culture of sustainability in stock market development impact, academic policies should emphasize the integration of environmental education across disciplines. By promoting awareness of the ecological consequences of stock market activities, societies can cultivate a mindset that values responsible economic practices. This, in turn, can lead to informed decision-making at individual and institutional levels.

First, since the study found that clean energy reduces ecological footprint, advocating for utilization of clean energy sources could be a key priority in emerging countries. Governments should incentivize the development and adoption of renewable energy technologies, such as wind and solar power, by providing subsidies and tax benefits. Furthermore, increasing awareness among residents about the benefits of clean energy and promoting its utilization in both residential and commercial environments can expedite the transition to a more environmentally friendly energy combination.

First, it pioneers an exploration into the interplay between stock market capitalization, international investment, clean energy and ecological footprint in emerging countries. Secondary unlike, unlike prior research, this study uses methodologies that account for cross-sectional dependencies and a unique characteristic specific to each country. In addition, by using common correlated effects mean group, AMG, cointegration and causality procedures, this study distinctly isolates and analyzes empirical findings for each country, leading to policy-oriented outcomes.

The purpose of this research is to ascertain the impact of audit committee (AC) activism and independence on the quality and quantity of environmental, social and governance (ESG) disclosures for energy sector firms in Australia. This paper aims to understand how AC attributes such as meeting frequency, and the number of independent directors influence the compliance with the global reporting initiative (GRI) guidelines and quantity of ESG disclosures.

Bloomberg ESG disclosure scores and company reported AC attributes are collected and analysed using the pooled ordinary least square (OLS) regression framework with Petersen’s (2009) technique by using a two-dimensional cluster at the firm and year level. Further, this paper uses a lagged independent variable and two-stage least square approach to address endogeneity concerns.

The results show a significant positive effect of AC activism and independence on the level of compliance with the GRI guidelines, indicating the favourable effect of AC attributes on ESG reporting quality. Likewise, AC attributes positively affect the quantity of ESG disclosures. Notably, the impact of AC attributes is more pronounced on environmental disclosures.

This paper validates the significance of the management control mechanism in improving the quality and quantity of ESG disclosures for an environmentally sensitive sector, hence offering a potential answer to reduce agency and legitimacy issues for the sensitive industry firms.