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Article
Publication date: 22 July 2022

Amna Yousaf, Fatima Yusuf and Waheed Ali Umrani

Using social information processing and sense-making theory, the current study examines how the poly-contextual factors and social environment of employees provide unique cues and…

Abstract

Purpose

Using social information processing and sense-making theory, the current study examines how the poly-contextual factors and social environment of employees provide unique cues and shape an employee's person-job (PJ) fit perceptions in ways that enable males to perceive a better PJ fit than their female counterparts at work. These perceptions of PJ fit act as mediating processes between gender-based differences in HR commitment or HR control attributions.

Design/methodology/approach

After collecting two waves of data over a six-month period from a sample of 498 banking sector professionals in Pakistan, the hypothesized relationships were tested using hierarchical multiple regression.

Findings

It was found that gender (female) was positively related to HR control attributions and negatively related to PJ fit perceptions and HR commitment attributions. The mean differences between males and females concerning these study variables were significant. Also, PJ fit mediated the relationship between gender and HR attributions.

Originality/value

The study contributes to the advancement and understanding of the predictors of HR attributions by examining the poly-contextual factors that shape unique experiences, knowledge structures and social information processing, thus forming distinct PJ fit perceptions and subsequent HR commitment or control attributions for males and females.

Details

Personnel Review, vol. 52 no. 7
Type: Research Article
ISSN: 0048-3486

Keywords

Article
Publication date: 8 February 2023

Muhammad Farooq, Amna Noor and Nabeeha Maqbool

This study aims to investigate the impact of corporate social responsibility (CSR) on the financial distress (FD) of firms listed on the Pakistan Stock Exchange (PSX)…

Abstract

Purpose

This study aims to investigate the impact of corporate social responsibility (CSR) on the financial distress (FD) of firms listed on the Pakistan Stock Exchange (PSX). Furthermore, the moderating effect of corporate governance (CG) on the CSR–distress relationship is investigated in this study.

Design/methodology/approach

The final sample of the study includes 117 companies from 2008 to 2021. The sample firms' CSR engagement is assessed using a multidimensional financial approach, and the likelihood of FD is determined using Altman's Z-score. The governance level is measured using the governance index, which includes 29 governance provisions. To achieve the research objectives, the system generalized method of moments estimator is used. Furthermore, several tests are performed to assess the robustness of the study's findings. The analysis was carried out using STATA software version 15.

Findings

The authors find that CSR is significantly inversely related to FD. The governance mechanism was discovered to be inversely related to FD. Furthermore, corporate governance strengthens the negative relationship between CSR and FD. In addition, the authors find that CSR is significantly inversely related to FD in firms with strong CG mechanisms but has no effect on FD in firms with weak CG mechanisms.

Practical implications

The findings of this study provide policymakers, business managers, regulators and investors with a better understanding of the relationship between the quality of CSR investments and the likelihood of FD in Pakistani firms, as well as the role of CG in this context.

Originality/value

This study contributes to our understanding of the role of CG in the CSR-distress relationship in an emerging market. This suggests that policymakers should prioritize CG quality while anticipating the impact of CSR on corporate FD.

Details

Social Responsibility Journal, vol. 19 no. 8
Type: Research Article
ISSN: 1747-1117

Keywords

Article
Publication date: 27 March 2023

Hongxia Tong, Asadullah Khaskheli and Amna Masood

Given the evolving market integration, this study aims to explore the connectedness of 12 real estate investment trusts (REITs) during the COVID-19 period.

Abstract

Purpose

Given the evolving market integration, this study aims to explore the connectedness of 12 real estate investment trusts (REITs) during the COVID-19 period.

Design/methodology/approach

The connectedness of 12 REITs was examined by considering three sample periods: full period, COVID peak period and COVID recovery period by using the quantile vector autoregressive (VAR) approach.

Findings

The findings ascertain that REIT markets are sensitive to COVID, revealing significant connectedness during each sample period. The USA and The Netherlands are the major shock transmitters; thus, these countries are relatively better options for the predictive behavior of the rest of the REIT markets. In contrast, Hong Kong and Japan are the least favorable REIT markets with higher shock-receiving potential.

Research limitations/implications

The study recommends implications for real estate industry agents and investors to evaluate and anticipate the direction of return connectedness at each phase of the pandemic, such that they can incorporate those global REITs less vulnerable to unplanned crises. Apart from these implications, the study is limited to the global REIT markets and only focused on the period of COVID-19, excluding the concept of other financial and health crises.

Originality/value

This study uses a novel approach of the quantile-based VAR to determine the connectedness among REITs. Furthermore, the present work is a pioneer study because it is targeting different time periods of the pandemic. Additionally, the outcomes of the study are valuable for investors, policymakers and portfolio managers to formulate future development strategies and consolidate REITs during the period of crisis.

Details

International Journal of Housing Markets and Analysis, vol. 17 no. 1
Type: Research Article
ISSN: 1753-8270

Keywords

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