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The authors examine how the major board reforms recently implemented by countries around the world affect firms' choice of debt.

Using a quasi-experimental setting of major board reforms around the world that aim to improve board-related governance practices in various areas, this study investigates the impact of effective board monitoring on corporate debt choice. The authors employ difference-in-differences-type quasi-natural experiment method and path analysis for hypotheses testing.

The authors find that the implementation of board reforms is positively associated with firms' preference for public debt financing over bank debt. However, this effect tends to weaken after the fourth year following the implementation of board reforms. In additional analyses, the authors find that “rule-based” reforms have a more pronounced effect on firms' choice of debt than do “comply-or-explain” reforms. Both (1) strengthened firm-level internal governance practices that address concerns about the agency cost of debt and (2) reduced information asymmetries play important roles in facilitating firms' debt choice, but the evidence suggests that the former is the economic mechanism through which country-level reforms affect corporate debt choice.

The study extends the literature examining the heterogeneity of corporate debt choices in a global setting and the literature on the consequences of corporate governance reforms.

The findings demonstrate the effectiveness of the corporate board reforms implemented in countries around the world, addressing concerns from critics about their potential harm or ineffectiveness.

The results indicate that country-level board reforms reduce the extent to which shareholder–creditor conflicts harm shareholders.

The purpose of this conceptual paper is to provide a foundation for human resource development (HRD) scholars in attempts to devise mechanisms for establishing and facilitating actionable pathways through which unlearning can be acknowledged and serve as a contributing agent for HRD interventions. This paper concludes with a call to action for our HRD colleagues to join us in further examination of unlearning interventions within the organizational context.

This paper narratively details the literature associated with the myriad social science domains that have investigated the unlearning process. Additionally, a cross-disciplinary literature review provides the basis for an operational definition of unlearning provided herein.

The field of HRD is devoted to creating learning organizations as well as utilizing change initiatives to develop organizations. However, unlearning has been largely ignored within the field of HRD.

The first contribution is by answering the call of scholars across varied disciplines to further investigate unlearning within the organizational context (Bettis and Prahalad, 1995; Hedberg, 1981; Nystrom and Starbuck, 1984). Additionally, this paper seeks to specifically address the role that unlearning holds within the field of HRD as it builds upon the definition provided by Wang et al. (2017) and offers its own operational definition. Finally, this paper provides the only known review of cross-disciplinary research pertaining to unlearning.

This study systematically reviewed existing literature on the impact of economic uncertainty on property performance to highlight focus areas and spur future research amid unprecedented global uncertainty levels. Conceptually, uncertainty levels and environmental dynamism are related to investors' risk judgement and decision-making.

Peer-reviewed journal articles published from 2007 to 2022 were assembled and arranged through the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol. The initial search produced 2,028 results from the Web of Science and Scopus databases, which were rigorously purified for a final dataset of 70 articles. These records were subsequently assessed through content analysis, bibliographic modelling, topic modelling and thematic analysis. Recurring themes were visualised using the VOSviewer software.

The existing literature suggests that economic uncertainty negatively impacts investment volumes, returns and performance. Research has also increased since 2018, with a strong emphasis on the housing sector and developed property markets. Commercial property and emerging markets account for only 10 and 8% of previous research, respectively.

These findings highlight the negative impact of economic uncertainties on property performance and investment volumes, which necessitate careful risk assessment. Given the high susceptibility of emerging and commercial property markets to uncertainty, these markets warrant further research amid ongoing uncertainty concerns across the globe.

Given current unprecedented levels of global uncertainty, the effects of economic uncertainty have received renewed interest. This study synthesised the current understanding of how different property markets respond to increased uncertainty and outlined future research directions to enhance understanding. Themes and relationships were also integrated into a conceptual map summarising the reported effects of economic uncertainty on housing, commercial property, investment and behaviour in the property market.

The purpose of this study is to understand the effect of different brand positions (underdog vs top dog) and comparative advertising on consumers’ brand attitudes. Additionally, this study also aims to demonstrate the effects of inspiration, self-relevance and empathy on the relationship between brand positioning and comparative advertising.

A two-by-three factorial design was employed with brand positions (underdog vs top dog) and three types of comparative advertising (noncomparative, indirect comparative and direct comparative) as the independent variables. Inspiration serves as the mediator, while self-relevance and empathy act as moderators and brand attitude is the dependent variable.

The results show that different brand positions significantly affect brand attitudes, with respondents having a better brand attitude toward the underdog brand. Brand attitude is partially mediated by inspiration. Self-relevance moderates the relationship between brand positioning and brand attitude. However, brand positioning, comparative advertising and empathy do not have interaction effects.

This study contributes to a better understanding of the effect of psychological variables on brand positioning and comparative advertising.

The results suggest that the underdog setting requires a real and honest story because consumers will spot a fake underdog story, which will damage consumer trust in the brand and harm the brand image.

There is a lack of research using psychological variables to demonstrate the effect of being the underdog brand. This study contributes to the literature by employing psychological variables to illustrate the effect of underdog positioning. These findings can help brands develop branding positioning strategies.

Teachers' expressing candid and natural emotions during teaching and learning processes is of vital importance for the quality and content of education. Because of that reason, it is necessary to explore factors that have a role in teachers' emotional labour. Therefore, the current study aims to test a novel model developed to explore the direct and indirect relations among distributed leadership, teacher autonomy and emotional labour.

The study data came from 1,007 teachers working at 81 state high schools located in 12 different regions in Turkey. To test the proposed model, the authors conducted a mediation analysis of structural equation modelling.

The analysis confirms that teacher autonomy is a prominent mediator in the relationship between distributed leadership and emotional labour.

This study is expected to contribute to the body of research focusing on the effects of leadership on teachers' emotional labour.

The coronavirus disease 2019 (COVID-19) pandemic has had major impacts on the performance of construction projects that have adopted social distancing measures. This study examines the effect of social distancing measures on project schedule performance through job reorganization on construction project sites.

Responses were obtained through a survey of 154 construction projects and analysed using the partial least square structural equation modeling (PLS-SEM) technique.

The findings established that social distancing has a negative effect on schedule performance, social distancing has a positive effect on job re-organization and job re-organization has a positive effect on schedule performance. Additionally, the results indicate that job re-organization partially mediates the relationship between social distancing and schedule performance, while social distancing moderates the relationship between job re-organization and schedule performance with low social distancing having the stronger positive effect.

This study contributes theoretically to a greater understanding of the impact of adopting COVID-19 safety measures such as social distancing on the schedule performance of construction projects. The study also shows how social distancing could lead to schedule performance through job reorganization.

Although the integration of sustainability into business strategies and operations has received considerable scholarly attention, little is known about how sustainability initiatives across the extended value chain affect this integration. This study aims to analyze the impact of multinational corporations’ supply chain sustainability initiatives on their environmental, social and corporate governance (ESG) performance and the moderating role of the key country-level factors of the multinational’s headquarters.

This study analyzes data published by the top 201 multinationals among Fortune Global 500 companies over the period 2011–2021 on their attempts to integrate sustainability measures in extended supply chains and the resultant impact on their ESG scores. A fixed-effect model is used in the primary empirical study.

Results indicate that managerial interventions through a more robust supply chain policy framework, monitoring mechanisms, corrective actions and training initiatives lead to better ESG-environment pillar performance for multinationals. Additionally, the ESG-environment pillar performance is influenced by the socioeconomic model and country-level ESG risks of the nation where the multinational is headquartered.

The implications of this study are vital for understanding the criticality of sustainability initiatives in the supply chain for a firm’s overall ESG performance. To attain better levels of sustainable performance, multinationals must assume a stewardship position and deploy sustainability initiatives in their extended supply chain.

The purpose of this study is to propose a new consumer value segmentation method for low-dimensional dense market datasets to quickly detect and cluster the most profitable customers for the enterprises.

In this study, the comprehensive segmentation bases (CSB) with richer meanings were obtained by introducing the weighted recency-frequency-monetary (RFM) model into the common segmentation bases (SB). Further, a new market segmentation method, the CSB-MBK algorithm was proposed by integrating the CSB model and the mini-batch k-means (MBK) clustering algorithm.

The results show that our proposed CSB model can reflect consumers' contributions to a market, as well as improve the clustering performance. Moreover, the proposed CSB-MBK algorithm is demonstrably superior to the SB-MBK, CSB-KMA and CSB-Chameleon algorithms with respect to the Silhouette Coefficient (SC), the Calinski-Harabasz (CH) Index , the average running time and superior to the SB-MBK, RFM-MBK and WRFM-MBK algorithms in terms of the inter-market value and characteristic differentiation.

This paper provides a tool for decision-makers and marketers to segment a market quickly, which can help them grasp consumers' activity, loyalty, purchasing power and other characteristics in a target market timely and achieve the precision marketing.

This study is the first to introduce the CSB-MBK algorithm for identifying valuable customers through the comprehensive consideration of the clustering quality, consumer value and segmentation speed. Moreover, the CSB-MBK algorithm can be considered for applications in other markets.

This paper aims to examine whether the cultural distance between an international audit firm and target audit clients in emerging countries is associated with auditor choice decisions.

Based on a sample of 104,699 firm-year observations from 20 countries over 2009–2020, logit regression analysis is used to investigate the research questions.

The authors find strong evidence that cultural distance affects the auditor selection decision. The results suggest Big N auditors are more likely to be chosen by target audit clients in emerging countries with less cultural distance. In other words, target audit clients in emerging countries prefer to choose international audit firms whose cultural characteristics are similar. Moreover, results from two-stage least squares regression further suggest that the observed effect of cultural distance on auditor choice is unlikely to be driven by potential endogeneity.

The auditor choice is limited to companies hiring Big N auditors; the authors exclude any switches to non-Big N auditors or switches between Big N auditors. The study also suffers from the concerns about methodological and conceptual criticism that most studies about national culture have to deal with. Finally, through this paper, the authors carry out the auditor selection process from the target audit clients’ side; the authors do not discuss the supply side of the process.

The authors contribute to the audit choice literature by providing evidence that the cultural distance between the countries of audit firms and target audit clients plays a role in the auditor choice decision. The study complements the prior auditor choice literature, focusing primarily on Western economies, by structuring the sample scope to emerging market economies.