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The purpose of this paper is to examine the mediating effect of employee job satisfaction on the relationship between electronic human resource management (e-HRM) use and e-HRM macro-level consequences.

Data were collected through a survey involving 32 organizations, using e-HRM applications. A purposive sampling technique was employed. A structural equation modeling technique with the use of the process macro approach was used to analyze collected data.

E-HRM use has a positive and significant effect on e-HRM macro-level consequences and constituent elements of e-HRM operational, relational and transactional consequences. Employee job satisfaction partially mediates the relationship between e-HRM use and e-HRM macro-level consequences.

The use of e-HRM, complemented by human resource best practices, enhances employee job satisfaction. At an indirect level, job satisfaction partially mediates the effect of e-HRM use on e-HRM macro-level consequences. Organizations should invest in job satisfaction-enhancing practices to ensure attainment of intended organization-wide consequences on a more consistent basis.

The study broadens the scope through which the association between e-HRM use, e-HRM macro-level consequences and employee job satisfaction are viewed. The study illustrates the limitations of the deterministic view of e-HRM use, while supporting the assumptions of the moderate determinism approach, which pin the success of e-HRM systems on the performance and satisfaction of e-HRM actors. The level of employee job satisfaction mediates the relationship between e-HRM use and e-HRM macro-level consequences. The study, to the authors' knowledge, is the first in establishing such an effect.

The purpose of this paper is to investigate the mediating role of perceived organizational politics on the relationship between electronic human resource management (e-HRM) use and e-HRM macro-level consequences.

The paper uses a cross-sectional survey of HR professionals, line managers and information technology specialists. A purposive stratified sampling technique is employed. The analyses of data make use of regression and process macro in SPSS analysis.

The effect of e-HRM use on e-HRM macro-level consequences is partially mediated by perceived organizational politics.

Organizations can invest in e-HRM use alongside other HR practices such as, emotional intelligence training, to reduce the negative effects of perceived organizational politics and in the process enhance employee attitudes and performance.

The study enriches the scope through which the interaction between e-HRM use and perceived organizational politics is viewed. The study was conducted in Zimbabwe, demonstrating that the indirect effect of e-HRM use on e-HRM macro-level consequences is not limited to developed economies.

Given the urgency to address the climate change crisis, the purpose of this study was to investigate the impact of 12 macro-level antecedents on energy and environmental (E&E) shareholder activism in 12 developed countries. Focus was placed on shareholder-initiated E&E resolutions.

Panel regressions were used to evaluate the relationships between the macro-level antecedents and two dependent variables, namely, the number of shareholder-initiated E&E resolutions filed and voting support for these resolutions.

The number of shareholder-initiated E&E resolutions filed increased slightly over the research period (2010–2019) but received very little voting support on average. Most of the 1,116 considered resolutions centred on the adoption or amendment of nuclear and environmental policies. Several resolutions called for improved E&E reporting. A significant relationship was found between the number of shareholder-initiated E&E resolutions filed and the rule of law.

The empirical evidence confirmed limited voting support for shareholder-initiated E&E resolutions and the importance of the rule of law in advancing the E&E social movement.

As the E&E social movement is gaining momentum, listed companies in the considered countries are likely to experience more pressure from shareholder activists.

To achieve participatory and inclusive climate governance, shareholder activists should collaborate more closely with other challengers in the E&E social movement, notably policy makers and those promoting the rule of law.

The authors considered macro-level antecedents of E&E shareholder activism that have received scant attention in earlier studies. Social movement theory was used as a novel theoretical lens.

This study investigated the micro–macro link in the hospitality and tourism (H&T) sector, specifically considering whether the gender diversity, independence and board attendance rates of H&T firms' boards, alongside the moderation effect of board policies, played a significant role in tourism sector performance.

The 2011–2018 data were retrieved from the World Bank and the Thomson Reuters Eikon databases, and fixed effects panel regression was conducted.

While female directors were a significant driver of tourism sector performance in terms of tourist arrivals and tourism receipts, independent directors were effective in improving tourist arrivals only. Furthermore, moderation analyses demonstrated the inefficacy of board policies in enhancing these directors' contributions to the sector's development. Moreover, the findings revealed the inefficiency of board meetings.

Concerning the efficacy of board policies, the results suggest that firms' boards should review and revise their policies. Surprisingly, while board-diversity policies made no difference to female directors' role in the sector's development (although females were influential), board-independence policies produced unexpected results. In the absence of a board-independence policy, independent directors are influential, but if a policy exists, they are not.

Although prior firm-level studies tested whether board characteristics enhanced firms' performance in the H&T sector, they did not investigate whether board characteristics promoted tourism sector performance. Moreover, the moderating effect of board policies on boards' structures and tourism sector performance has not yet been examined.

This study uses a multi-level framework to systematically summarize and synthesize the empirical literature on determinants of sustainability disclosure.

This review study is based on 159 empirical studies examining determinants of sustainability disclosure and published in Charted Association of Business Schools (CABS) ranked journals over the last 40 years.

Companies are experiencing multi-level pressures for sustainability disclosure. Macro-level variables include political, legal, social-cultural and international pressures. Meso-level factors include customers' concerns, shareholders’ and investors' demands, industry-level variables and media coverage. Micro-level factors include the firm-level governance mechanisms, executives' reporting attitude and role of sustainability promoting institutions. Unlike in developed markets, companies in developing markets feel minimal public pressure for sustainability disclosure but rather are influenced by international NGOs, the media and international buyers. Multi-level and multitude of pressures for sustainability disclosure explains the widely observed differences between studies.

This research presents the most extensive systematic review of the extant sustainability disclosure literature and is the first study to group determinants into micro-, meso- and macro-level components using multi-level analysis.

This study aimed to explore how the attributes of heritage destinations become constraints on tourists' intention to revisit these destinations and to provide stakeholders with strategies to mitigate travel constraints, thereby increasing tourists' revisit intention.

A quantitative research approach was used, and data collection utilised a convenience sampling method. A total of 1,250 tourists completed self-administered, on-site surveys. To analyse the collected data effectively and to test hypotheses, multilevel analysis models were created.

Heritage-destination attributes are found to mediate the impact of perceived constraints on tourists' intention to revisit heritage destinations. Positive perceptions of heritage and cultural attractions among tourists can mitigate the adverse effects of constraints on their intentions.

This study only focused on examining the downward cross-level impact, i.e. from the macro level to the individual level. This could be beneficial for exploring an upward cross-level impact.

The findings provide strategic guidance for marketing programs to enhance the reputation of heritage destinations. By identifying and establishing attributes specific to heritage destinations that visitors perceive as the most appealing, program designers can effectively target their efforts. Additionally, the findings help stakeholders of heritage destinations develop and provide suitable heritage and cultural attractions and tourism infrastructure in line with tourists' preferences.

This study employed a multilevel approach to examine how heritage-destination attributes and related constraints on travelling on impact individuals' intentions to revisit destinations. The study considered a macro-based perspective to analyse these effects.

This study examines the interconnected effects of formal, informal, environmental and skill-based institutional barriers on firm performance. The Economic Community of West African States (ECOWAS) region has implemented various reforms and policy initiatives to support small businesses yet are unsuccessful as formal institutional framework and governance remains a challenge.

The authors employ a sample of 3,515 small and medium enterprises (SMEs) from the ECOWAS and a two-stage instrumental variable approach to control for endogeneity. Additionally, the authors check for robustness using various measures of firm performance such as profitability, productivity and export intensity.

The authors confirm that formal institutions are insignificant for firm profitability and productivity, whilst reducing informal, environmental and skill-based institutional barriers are associated with firm performance. However, when barriers to informal, environmental and skill-based institutions are at the lowest, formal institutions are associated with firm performance.

The major limitation lies in the policy implications. Informal institutions come into play when formal institutions are weak. However, informal practices must be addressed in the form of formal enforcement. This leads to a conundrum.

Policymakers should continue to market-supporting institutions and a conducive business environment to complement the formal institutional framework.

This study provides new empirical evidence on how institutional quality affects firm performance by examining whether other institutional factors, such as the informal, environmental and skill-based institutional barriers, can moderate this effect.

This study aims to incorporate macro- and micro-level institutional factors into the theory of planned behaviour (TPB) model to understand their effect on entrepreneurial intentions (EI) amongst students in nations from Latin America and Caribbean region and India.

Using non-probability sampling technique, data was collected from Colombia, Dominican Republic, India and Mexico, and consisted of 757 useable responses from students. Structural equation modelling was employed to conduct confirmatory factor analysis while path analysis was used to test the hypotheses.

Combined samples from all countries showed information and communications technology infrastructure, usage and adoption (ICTi) and educational support had an indirect effect on EI through personal attitude (PA) and perceived behavioural control (PBC) but not through subjective norms (SN). Additionally, it was found that while PA and PBC have a direct influence on EI; SN does not. Further, an inverse relationship was found between age and EI, while respondents' gender, academic programme and entrepreneurship education had no significant effect on EI.

This study suggests enhanced investments in developing and emerging economies by enabling institutional environments at the macro- and micro-level that could help promote EI.

The current paper contributes to the EI literature by incorporating institutional factors at macro- and micro-levels in developing and emerging economies towards a more integrative TPB.

The purpose of this study is to assess how the information disclosed in prospectuses impacted the initial public offering (IPO) underpricing at a time of high government interference amid the ongoing pandemic.

The design of this study has several tracks, namely, a macro-level track, which is represented by the government measures to halt the pandemic; a micro-level track, which is followed by textual analysis of IPO prospectuses; and, finally, a machine learning track, in which the authors use state-of-the-art tools to improve their linear regression model.

The authors found that strict government anti-COVID-19 measures indeed contribute to the reduction of the IPO underpricing. Interestingly, the mere fact of such measures taking place is enough to take effect on financial markets, regardless of the resulting efficiency of such measures. At the micro-level, the authors show that prospectus sentiments and their significance differ across prospectus sections. Using linear regression and machine learning models, the authors find robust evidence that such sections as “Risk factors”, “Prospectus summary”, “Financial Information” and “Business” play a crucial role in explaining the underpricing. Their effect is different, namely, it turns out that the more negative “Risk factors” and “Financial Information” sentiment, the higher the resulting underpricing. Conversely, the more positive “Prospectus summary” and “Business” sentiments appear, the lower the resulting underpricing is. In addition, we used machine learning methods. Consisting of more than 580 IPO prospectuses, the study sample required modern and powerful machine learning tools like Isolation Forest for pre-processing or Random Forest Regressor and Light Gradient Boosting Model for modelling purposes, which enabled the authors to gain better results compared to the classic linear regression model.

At the micro level, this study is not confined to 2020, but also embraces 2021, the year of the record number of IPOs held. Moreover, in this paper, these were prospectuses that served as a source of management sentiment. In addition, the authors used a tailor-made government stringency index. At the micro level, basing the study on behavioural finance hypotheses, the authors conducted both separate and holistic analysis of prospectuses to assess investors’ reaction to different aspects of IPO companies as well as to the characteristics of the IPOs themselves. Lastly, the authors introduced a few innovations to the research methodology. Textual analysis was conducted on a corpus of prospectuses included in a study sample. However, the authors did not use pre-trained dictionaries, but instead opted for FLAIR, a modern open-source framework for natural language processing.

Replication is essential to science for the purpose of (1) updating previously accepted knowledge and (2) testing the boundary conditions of this knowledge. Although Bader et al.’s (2018) impactful paper on gender harassment experienced by expatriates was only published five years ago, there have been two relevant exogenous shocks to the environment since they collected their data, making this study an excellent target for replication.

Three-hundred ninety-one expatriates who were currently working in 79 different countries completed an electronic survey that included scales for gender harassment, ethnicity harassment, general stress, frustration and job satisfaction. Data were analyzed using partial least-squares structural equation modeling (PLS-SEM) in Stata17.

Consistent with prior research, gender had a significant relationship with workplace gender harassment (ß = 0.228, p < 0.001) such that males experienced lower levels of harassment than other expatriates. The relationship between race/ethnicity and experiences of ethnicity harassment was dependent upon model specification. Workplace harassment had a negative relationship with job satisfaction (gender harassment, ß = −0.114, p = 0.030; ethnicity harassment; ß = −0.146, p = 0.002) and a positive relationship with frustration (gender harassment, ß = 0.231, p < 0.001; ethnicity harassment, ß = 0.213, p < 0.001).

Using a larger, more diverse sample than that used in prior research, the authors were able to test the generalizability of accepted knowledge. While the authors replicated many findings identified in prior research, they failed to replicate the effects pertaining to the relationship between macro-level variables and experiences of harassment. Given that macro-level variables play a key role in status construction theory (SCT), this research raises important questions for future work.