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External institutional policy and its impact on corporate social responsibility (CSR) have been widely discussed by researchers, but its effect still remains controversial. This study aims to use the minimum wage policy as an illustrative example to analyze its impact on the corporate social responsibility (CSR) of tourist enterprises. Furthermore, the research seeks to examine the boundary conditions that influence the minimum wage’s effect on CSR.

This paper takes the data of 42 listed tourism companies from 2010 to 2020 in China as samples and uses the mixed OLS regression method and the fixed effects panel model to examine the effect of the minimum wage on CSR.

Findings show that increasing wages has a significantly negative impact on their total CSR investment. Also, low-operating-capacity enterprises and private enterprises will react more adversely when faced with increasing minimum wages. And found that the increase of minimum wage has no significant negative impact on the strategic social responsibility of tourism enterprises; however, it has a significantly negative impact on their tactical social responsibility. In addition, as far as employees’ rights and interests are concerned, the minimum wage increase has effectively increased employee salaries, but the nonsalary benefits of the employees have significantly decreased.

The contribution of this paper not only expands the research on the antecedents and boundary mechanisms of CSR but also clarifies the specific effect of the rise of the minimum wage on corporate social responsibility; it further deepens the impact of institutional policy factors on CSR, which also opens new perspectives for policy evaluation and provides a theoretical basis for government policymakers.

Despite some recent progress, gender inequality remains a persistent problem in science, technology, engineering, mathematics and medicine (STEMM) organisations. This article seeks to better understand resistance to gender equality (GE) in this context with the aim of shedding light on the workplace-based impediments to equality and unlocking remediation opportunities.

The article draws on in-depth interviews with 20 STEMM leaders to examine how they talk about the problem of gender inequality in the organisations they lead. Because resistance is rarely expressed directly, we adopt an in-depth, granular approach to examining what we call STEMM leaders’ “resistance talk” by decoding expressions of GE resistance that may appear, ostensibly, as something else.

We found various ideas, arguments and other discursive practices which function to legitimate or justify the status quo. These are both described by leaders in relation to what they are dealing with in their own organisations and expressed themselves. While similar “legitimating discourses” operate in other gender-segregated workplaces, our findings show how they manifest specifically in STEMM contexts.

Our results provide much-needed granular level evidence of the discursive tactics deployed to legitimate the status quo and obstruct progress toward GE in STEMM. This extends understanding of barriers to GE in STEMM and, importantly, highlights where attention might be directed to both counter resistance and harness potentially changing attitudes to expedite the necessary change required for GE in STEMM.

ORCID is well recognised as a Persistent Identifier (PID) amongst the global academic community. The international literature is generally extremely positive towards this development. A minority of vociferous critics however have continued to dispute its benefits. Particular concerns have been noted around the potential for ORCID to be used as a tool for evaluation and surveillance by University management structures. This research sought to critically evaluate in-depth perceptions of ORCID in the Technological University (TU) sector in Ireland.

This study involved ten semi-structured interviews with academics and five with librarians in the TU sector. Reflexive thematic analysis informed by Heideggerian hermeneutic phenomenological principles was used to explore transcribed interview data.

The results demonstrate a clear difference in perceptions concerning ORCID, with library staff being very positive and uncritical, even arguing for mandatory adoption. Although some academics were using ORCID IDs in a performative manner, most were suspicious of, or resigned to their use. Concerns about ORCID ranged across various issues including employer surveillance, a lack of institutional autonomy and its inappropriateness for the sector. It is argued that academics in the TU sector have so far not had an opportunity to fully explore and articulate their vision for the future. In its current form ORCID represents a foreign, imposed and inappropriate tool that may facilitate willing or unwilling inclusion in the inequitable and crude “game” of global university league tables.

The paper offers an in-depth and critical analysis of ORCID adoption in Ireland based on perceptions amongst two stakeholder groups: academics and librarians.

In this paper, we provide new evidence to strengthen the stock market overreaction hypothesis by examining a new context that has not been explored before. Our research is inspired by the widely held belief that investor sentiment experiences abrupt changes from optimism to pessimism as the market switches between bull and bear states.

If the stock market overreaction hypothesis is correct, it implies that investors are inclined to become excessively optimistic during bull markets and overly pessimistic during bear markets, resulting in overreaction and subsequent market correction. Consequently, the study first develops two testable hypotheses that can be used to uncover the presence of stock market overreaction with subsequent correction. These hypotheses are then tested using long-term data from the US market.

The study's findings support the hypothesis while also revealing a significant asymmetry in investor overreaction between bull and bear markets. Specifically, our results indicate that investors tend to overreact towards the end of a bear market, and the subsequent bull market starts with a prompt and robust correction. Conversely, investors appear to overreact only towards the end of a prolonged bull market. The correction during a bear market is not confined to its initial phase but extends across its entire duration.

Our study has some limitations related to its focus on investigating stock market overreaction in the US market and analyzing the pattern of mean returns during bull and bear market states. Expanding our study to different global markets would be necessary to understand whether the same stock market overreaction effect exists universally. Furthermore, exploring the relationship between volatility and overreaction during different market phases would be an exciting direction for future research, as it could provide a more complete picture of market dynamics.

Our study confirms the presence of the stock market overreaction effect, which contradicts the efficient market hypothesis. We have observed specific price patterns during bull and bear markets that investors can potentially exploit. However, successfully capitalizing on these patterns depends on accurately predicting the turning points between bull and bear market states.

The results of our study have significant implications for market regulators. Stock market overreactions resulting in market corrections can severely disrupt the market, leading to significant financial losses for investors and undermining investor confidence in the overall market. Further, the existence of overreactions suggests that the stock market may not always be efficient, raising regulatory concerns. Policymakers and regulators may need to implement policies and regulations to mitigate the effects of overreactions and subsequent market corrections.

This paper aims to provide additional support for the stock market overreaction hypothesis using a new setting in which this hypothesis has not been previously investigated.

Performance management system (PMS) is a crucial element of strategic human resource practices in any organization. This research aims to provide a concise overview of how bibliometric analysis is employed to assess the influence and significance of cutting-edge technologies in shaping of PMS. This study seeks to identify key trends, emerging technologies and their impact on the evolution of performance management practices, contributing valuable insights for researchers, practitioners and policymakers in this field.

This investigation is carried out utilizing total of eight research questions, which are examined through VOS Viewer and Biblioshiny software. The research offers visual diagrams and tables depicting the data extracted from the Scopus Database.

The study’s results underscore a noticeable increase in research literature pertaining to PMS, indicating a shift from conventional methods to a strategic, technology-driven approach. These findings cover the way for further investigation across various disciplines, offering opportunities to enhance the efficacy and productivity of PMS.

The implementation of new technologies such as Artificial intelligence (AI), machine learning and robotics etc. in PMS have also been analysed to give a sneak peak of the bigger future picture of AI and strategic human resource integration.

To the best of the authors' understanding, this analysis represents the inaugural application of bibliometric techniques to evaluate the advancement of research on Performance Management System (PMS) dating back to 1978, utilizing academic literature sourced from the Scopus database.