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The purpose of this paper is to understand how hospitality companies can best explain controversial corporate social responsibility (CSR) activities to consumers who may not agree with the CSR activity. This research explores message framing through emotional and cognitive appeals to influence consumer perceptions of the Gideon Bible in USA hotel rooms. The study uses the theory of deontic justice to measure the impacts of messaging on consumer perceptions of the morality of the Gideon Bible as suicide prevention in hotels and its relation to controversial CSR initiatives.

The study uses an experimental study design via a self-administered survey to analyze participants’ perceptions of the placement of the Gideon Bible in hotel rooms and participants’ attitudes toward CSR initiatives based on deontic justice and religion using different message framing conditions.

Results show that religion was a major determinant of attitude towards the Gideon Bible, but the sentiment analysis also revealed that negative perceptions can be mitigated through message framing via emotional and cognitive appeals. Additionally, the cognitive appeal did impact CSR perceptions, as did identifying as Christian. Moral outrage emerged as a significant moderator for the relationships between message framing, attitudes toward the Gideon Bible and CSR.

This study provides an extension of deontic justice research to examine justice traits in accepting controversial CSR.

Foreign initial public offerings (IPOs) typically face capital market liability of foreignness (CMLOF) caused by factors such as institutional distance. Firms must overcome CMLOF by utilizing their resources, such as chief executive officer (CEO) human capital, to compete successfully in the global marketplace. Using signaling and human capital theories, this study examines how institutional distance and CEO human capital impact foreign IPO performance.

We analyzed 318 foreign IPO firms from 43 different countries listed on ten stock exchanges using pooled hierarchical OLS regression.

We found that the CEO’s general international experience, foreign education, and international experience in the host country are negatively related to IPO performance. Also, host country-specific experience was more negatively related to IPO performance than general international experience. The CEO’s functional background moderated the relationship between a CEO's international experience and IPO performance.

The study contributes to the top management team and IPO research by demonstrating that previous findings on the role of CEO human capital on firm outcomes cannot be generalized to the foreign IPO context. The intriguing results raise critical questions regarding a CEO’s impact on foreign IPO performance, underscoring the need for further research.

The study seeks evidence on the asymmetric effects of broad money growth on inflation in the short run and long run, in the context of emerging markets and developing economies (EMDEs).

Using a panel dataset of 122 EMDEs (by distinguishing between inflation-targeting and non-inflation-targeting EMDEs), we employ the nonlinear counterpart of the autoregressive distributed lag framework, which provides evidence of asymmetric dynamics between money growth and inflation in EMDEs.

In consonance with the quantity theory of money, we find a long-run relationship between money growth and inflationary outcomes. We also find that the response of inflation is higher to a tightening episode in the monetary policy stance than to a loosening episode. The study also provides evidence that adopting the inflation targeting framework in EMDEs has led to a significant reduction in the inflation rates along with ensuring a higher magnitude of transmission from money supply growth to inflationary outcomes.

To the best of our knowledge, the present study is one of the first attempts to evaluate the differential impact of broad money growth on inflationary outcomes, using a panel dataset of EMDEs. As a result of inherent differences in the financial structures of EMDEs vis-à-vis advanced nations, there is an imperative need to assess the dynamics of pass-through from money supply to inflation to gain an understanding of the mechanism of monetary transmission in these economies.

This paper aims to examine the factors influencing 2018–2022 research productivity related to Sustainable Development Goal 4 (SDG4) in the EU-27 considering the COVID-19 epidemic.

This paper applies the two-panel estimators to bibliometric data from Scopus and relevant indicators, focusing on the previously achieved scientific productivity levels, national GDP, government education expenditures and the COVID-19 contingency variables. This study addresses the information gap regarding pertinent elements influencing SDG4 research productivity.

Research productivity in SDG4 is negatively impacted by government spending on education and the SDG4 goal score and positively impacted by the lagged number of prior SDG4 publications and GDP per capita.

The robustness of the results across several panel estimators, the necessity of evaluating interactions with other SDGs and the possibly restricted generalizability of the findings outside the EU-27 sample are limitations acknowledged in this work.

Nations with high levels of SDG4 implementation are becoming less interested in conducting related studies or hinting at a possible systemic mismatch between research and policy at the EU level. The COVID-19 epidemic has had a positive effect on SDG4 research output, indicating that external obstacles to the research process should be contextualized by examining a range of contingency elements in addition to being perceived as general obstacles.

Online complaints have emerged as a pivotal avenue for customers to voice their dissatisfaction. In this context, bystanders, as third-party observers, actively engage in evaluating and judging these complaints. However, studies pertaining to bystanders in online customer complaints remain limited. Therefore, this study aims to integrate deontic justice theory and attribution theory to construct a research model of bystanders’ support for online customer complaints.

Leveraging a questionnaire and two scenario experiments, SPSS 24.0 and AMOS 24.0 were used to examine the relationship between bystanders’ moral outrage and their support for online customer complaints, the mediating role of responsibility attribution and the moderating role of experience similarity and online anonymity.

Based on the statistical analysis, the results show that bystanders’ moral outrage significantly enhances their support for online customer complaints; responsibility attribution plays a mediating role between moral outrage and bystanders’ support for online customer complaints; experience similarity and online anonymity can moderate the relationship between moral outrage and bystanders’ support for online customer complaints.

The findings of this study not only enrich the literature on online customer complaints but also provide valuable insights for companies to understand the diffusion of online complaints and effective strategies with which to address them.

This study aims to evaluate the mediating role of work engagement (WE) in the relationship between four independent variables, such as procedural justice (PJ), distributive justice (DJ), interactional justice (INTJ) and informational justice (INFJ), along with an outcome variable, i.e. proactive customer service performance (PCSP) within the hospitality industry.

We used 432 frontline supervisor–subordinate dyads. Using partial least squares structural equation modeling, we obtained data for 47 supervisors and 432 subordinates from the hotel industry. Notably, we used two distinct questionnaires to capture data from each pair in order to avoid common method bias.

Broadly, the findings show that there is a significant and positive relationship between DJ, PJ, INTJ and INFJ vis-à-vis WE. Besides, WE is also significantly and positively associated with PCSP. Additionally, the results indicate that WE acts as a mediator between the four independent variables (DJ, PJ, INTJ and INFJ) and one outcome variable, PCSP.

Based on our findings, whereby different forms of justice (DJ, PJ, INTJ and INFJ) have a positive impact on WE, and PCSP has practical ramifications, organizations would need to set priorities and implement OJ strategies within the work environment. In turn, this would enable the employees to be more engaged in their work, resulting in improved performance and greater job satisfaction.

This study offers unique theoretical and practical learnings for the hospitality industry with the usage of supervisor–subordinate dyads.

This research investigates when and why lower-level leaders counteract interactional injustice after experiencing injustice from their superiors.

Two scenario-based studies were employed to test the hypotheses.

The enactment of injustice by higher-level leaders was found to increase psychological disidentification among lower-level leaders, prompting them to exhibit higher levels of interactional justice, particularly in contexts where justice is seldom rewarded.

This paper extends trickle-down effects research by demonstrating how reactance can interrupt the transmission of injustice from higher-level leaders, suggesting that a reactance-provoking environment can motivate lower-level leaders to act more justly.

Organizations can mitigate the spread of injustice by enhancing middle-level leaders’ awareness of unjust behaviors and fostering a leadership self-concept that emphasizes interactional justice.

This paper clarifies the reversal of the trickle-down process of interactional injustice, contributing to the literature on trickle-down effects and interactional justice.

Mega construction projects (MCPs), characterized by their vast scale, numerous stakeholders and complex management, often face significant uncertainties and challenges. While existing research has explored the complexity of MCPs, it predominantly focuses on qualitative analysis and lacks systematic quantitative measurement methods. Therefore, this study aims to construct a complexity measurement model for MCPs using fuzzy comprehensive evaluation and grey relational analysis.

This study first constructs a complexity measurement framework through a systematic literature review, covering six dimensions of technical complexity, organizational complexity, goal complexity, environmental complexity, cultural complexity and information complexity and comprising 30 influencing factors. Secondly, a fuzzy evaluation matrix for complexity is constructed using a generalized bell-shaped membership function to effectively handle the fuzziness and uncertainty in the assessment. Subsequently, grey relational analysis is used to calculate the relational degree of each complexity factor, identifying their weights in the overall complexity. Finally, the weighted comprehensive evaluation results of project complexity are derived by combining the fuzzy evaluation results with the grey relational degrees.

To validate the model’s effectiveness, the 2020 Xi’an Silk Road International Conference Center construction project is used as a case study. The results indicate that the overall complexity level of the project is moderate, with goal complexity being the highest, followed by organizational complexity, environmental complexity, technical complexity, cultural complexity and informational complexity. The empirical analysis demonstrates that the model can accurately reflect the variations across different dimensions of MCP complexity and can be effectively applied in real-world projects.

This study systematically integrates research on MCPs complexity, establishing a multidimensional complexity measurement framework that addresses the limitations of previous studies focusing on partial dimensions. Moreover, the proposed quantitative measurement model combines fuzzy comprehensive evaluation and grey relational analysis, enhancing the accuracy and objectivity of complexity measurement while minimizing subjective bias. Lastly, the model has broad applicability and can be used in MCPs across different countries and regions, providing a scientific and effective basis for identifying and managing MCP complexity.

The cyber-physical system (CPS) is a well proven technology for improving system performance, resilience, and interconnectivity. In emerging nations like India, the logistics industry lacks practices connecting logistical equipment with cyberspace. This paper aims to bridge this gap by identifying and evaluating the performance metrics of connectivity solutions. Its goal is to establish an appropriate infrastructure that enables seamless connectivity within the CPS-enabled logistics ecosystem.

A novel integrated decision method is employed to classify the optimal connectivity solution for CPS. It integrates Regret Theory (RT) and Preference Ranking for Organization Method for Enrichment Evaluation (PROMETHEE-1) method in a Hesitant Fuzzy (HF) environment. This method considers the psychological traits of decision-makers and effectively incorporates their hesitancy for the classification.

The findings highlight security (c10) as the foremost critical performance metric, followed by cost (c6), scalability (c9), traceability (c2) and trustworthiness (c1) to build connective infrastructure for CPS. For extensive coverage scenarios, like freight transportation, cellular connectivity (a2) emerges as the most suitable connectivity solution.

This study provides a roadmap to logistics managers for selecting a suitable connectivity infrastructure to enhance seamless connectivity in logistics operations and processes. Technology providers can utilize the findings to develop the CPS infrastructure for effective freight logistics management.

This research introduces a novel decision-making tool for making choices related to advanced technology assessment. It holds significant value in facilitating well-informed decisions in the digital transformation era.

This study examines the impact of environmental, social and governance (ESG) performance on cross-region investment in China.

This study utilized firm-level data from the China Stock Market and Accounting Research database covering 2009 to 2021, comprising 3,600 Chinese listed firms. Cross-region investment activities were measured using data on establishing subsidiaries across regional borders obtained from the TianYanCha website. Besides, this study also implemented the instrumental variables (IV) and difference-in-differences approach to address potential endogeneity issues. The panel Poisson and panel negative binomial models are used for robustness tests.

The findings indicate that companies with better ESG performance are more likely to establish cross-region subsidiaries, positively affecting cross-regional investment activities. Strong ESG performance reduces financing constraints, enhances information transparency and improves corporate reputation and resource allocation efficiency, thereby increasing cross-regional investment. Well-established ESG performance also helps overcome judicial barriers. Moreover, cross-region investments driven by ESG are less motivated by tax avoidance, pollution transfer and management self-interest.

We focus on listed companies in China, which may limit the applicability of our conclusions to other regions. Our measurement of cross-region investment might also underestimate its extent due to diverse investment methods. We suggest two future research directions: first, studies could explore the future performance of ESG-facilitated cross-region investments; second, further analysis could assess whether corporate ESG performance effectively dismantles administrative barriers and mitigates market segmentation.

Under China’s distinctive market segmentation phenomenon, this study fills a gap by providing new causal evidence of the role of managerial performance in mitigating capital flow boundaries.