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The main objective of this study is to determine the factors that have the greatest impact on travelers' opinions of airports.

11,656 customer reviews for 649 airports around the world were gathered following the COVID-19 outbreak from the website that rates airport quality. The dataset was examined using hierarchical regression, PLS-SEM, and the unsupervised Bayesian algorithm-based PSEM in order to verify the hypothesis.

The results showed that people’s intentions to recommend airports are significantly influenced by their opinions of how well the servicescape, staff, and services are.

By encouraging air travelers to have positive intentions toward recommending the airports, this research offers airport managers decision-support implications for how to improve airport service quality. This will increase the likelihood of retaining more passengers.

This study also suggests a quick-to-implement visual decision-making mechanism based on PSEM that is simple to understand.

This study examines how structured procedures and psychological safety can enhance six sigma processes’ effectiveness and foster individual creativity within an organization.

This study employs a novel methodological approach, combining structural equation modeling (SEM) and multi-value qualitative comparative analysis (mvQCA).This combination gave us a unique lens through which to view the complex connections between the constructs that were the subject of the investigation.

The results substantiate that a well-structured six sigma approach, paired with a psychologically safe environment, fosters knowledge exploration and exploitation as well as triggering conducive learning behaviors. These elements, in turn, augment individual creativity, which is found to be instrumental in boosting six sigma performance.

This study is one of the first to combine mvQCA and SEM to investigate the complex interplay between structured methods, psychological safety and individual creativity in enhancing six sigma performance. This research highlights the importance of fostering creativity in strategic management processes and the unrealized potential of combining these methods.

For those who plan research funds and assess the research performance from the funds, it is necessary to overcome the limitations of the conventional classification of evaluated papers published by the research funds. Besides, they need to promote the objective, fair clustering of papers, and analysis of research performance. Therefore, the purpose of this paper is to find the optimum clustering algorithm using the MATLAB tools by comparing the performances of and the hybrid particle swarm optimization algorithms using the particle swarm optimization (PSO) algorithm and the conventional K-means clustering method.

The clustering analysis experiment for each of the three fields of study – health and medicine, physics, and chemistry – used the following three algorithms: “K-means+Simulated annealing (SA)+Adjustment of parameters+PSO” (KASA-PSO clustering), “K-means+SA+PSO” clustering, “K-means+PSO” clustering.

The clustering analyses of all the three fields showed that KASA-PSO is the best method for the minimization of fitness value. Furthermore, this study administered the surveys intended for the “performance measurement of decision-making process” with 13 members of the research fund organization to compare the group clustering by the clustering analysis method of KASA-PSO algorithm and the group clustering by research funds. The results statistically demonstrated that the group clustering by the clustering analysis method of KASA-PSO algorithm was better than the group clustering by research funds.

This study examined the impact of bibliometric indicators on research impact of papers. The results showed that research period, the number of authors, and the number of participating researchers had positive effects on the impact factor (IF) of the papers; the IF that indicates the qualitative level of papers had a positive effect on the primary times cited; and the primary times cited had a positive effect on the secondary times cited. Furthermore, this study clearly showed the decision quality perceived by those who are working for the research fund organization.

There are still too few studies that assess the research project evaluation mechanisms and its effectiveness perceived by the research fund managers. To fill the research void like this, this study aims to propose PSO and successfully proves validity of the proposed approach.

Formal structured leadership training is increasingly incorporated as a regular fixture in developed nations to produce competent leaders to ensure the provision of quality patient care. However, most low- and middle-income countries (LMICs) rely on one-off external training opportunities for selected individuals as they lack the necessary resources to implement long-term training for a wider pool of potential health care leaders. This case study shares the establishment process of the Talent Grooming Programme for technical health care professionals (TGP), a three-year in-house leadership training programme specially targeted at potential health care leaders in Malaysia.

This case study aims to share a comprehensive overview of the ideation, conceptualisation and implementation of TGP. The authors also outlined its impact from the individual and organisational perspectives, besides highlighting the lessons learned and recommendations for the way forward.

TGP set out to deliver experiential learning focusing on formal training, workplace experiences, practical reflection and mentoring by supervisors and other esteemed leaders to fulfil the five competency domains of leadership, organisational governance, communication and relationship, professional values and personal values. The successes and challenges in TGP programme delivery, post-training assessment, outcome evaluation and programme sustainability were outlined.

The authors’ experience in setting up TGP provided valuable learning points for other leadership development programme providers. As for any development programme, a continuous evaluation is vital to ensure its relevance and sustainability.

Certain aspects of TGP establishment can be referenced and modified to adapt to country-specific settings for others to develop similar leadership programme, especially those in LMICs.

South Korea has shown ultra-low fertility since the 2000s despite a massive expansion of pro-natal policies. The purpose of this research is to analyse institutional and socio-cultural configurations surrounding Korea's pro-natal policy and provide implications as to why the comprehensive packages have not produced intended outcomes.

This study assumes institutional complementarities, suggesting that the effectiveness of policy depends on various support factors. Drawing out insights from the framework of de-familisation, the authors construct a gender and family framework to analyse the pro-natal policy configurations in Korea.

Labour market policies in Korea have explicitly aimed to support dual-earner couples and protect women's employment status after childbirth. However, the dualistic labour market and remaining female-caregiver norms lead to the polarisation of couples into dual earners and male breadwinners. In family policy, the government has rapidly increased affordable childcare services, but widespread distrust in private services and generous birth-related cash benefits formulate a tension between de-familisation and continued familisation. Other welfare programmes that attach welfare rights to marital status also prolong female-caregiver norms in institutional arrangements. The findings suggest that the ambivalence between recent policy developments and the existing arrangements can limit the effectiveness of the policy packages.

The framework based on institutional complementarities addresses the limitations of previous studies concentrating on the statistical testing of individual policy effects. A similar approach can be applied to other countries showing major policy efforts but producing unsatisfactory outcomes.

The paper aims to estimate abnormal audit fees more precisely than the traditional audit fee model by applying an artificial intelligence (AI) method.

The AI technique employed in this paper is the deep neural network (DNN) model, which has been successfully applied to a wide variety of decision-making tasks. The authors examine the ability of the classic ordinary least squares (OLS) and the DNN models to describe the effects of abnormal audit fees on accounting quality based on recent research that demonstrates a systematic link between accruals-based earnings management and abnormal audit fees. Thus, the authors seek to imply that their new method provides a more precise estimate of abnormal audit fees.

The findings indicate that abnormal audit fees projected using the DNN model are substantially more accurate than those estimated using the classic OLS model in terms of their association with earnings management. Specifically, when abnormal audit fees predicted using the DNN rather than the OLS are incorporated in the accruals-based earnings management model, the adjusted R²s are larger. Additionally, the DNN-estimated coefficient of abnormal audit fees is more favorably associated to earnings management than the classic OLS-estimated coefficient. Additionally, the authors demonstrate that the DNN outperforms OLS in terms of explanatory power in a negative discretionary accruals subsample and a Big 4 auditor subsample. Finally, abnormal audit fees projected using the DNN method provide a better explanation for audit hours than those estimated using the OLS model.

This is the first approach that utilized a machine learning technology to estimate abnormal audit fees. Because more precise measurement yields more credible research results, the findings of this study imply a significant advancement in calculating unusually higher audit fees.

This study aims to test the cross-level effects of team job crafting on individual innovative work behaviour (IWB) and the mediating role of team psychological capital (PsyCap).

This longitudinal study tested a multilevel design in a sample of 163 employees, clustered into 45 teams. Job crafting and PsyCap were aggregated to the team level to examine the effects of team job crafting Time 1 on individual IWB Time 2. In addition, mediation analysis was tested to determine whether team-level job crafting Time 1 can affect individual IWB Time 2 through team PsyCap Time 2.

Results found that team job crafting was positively related to individual IWB, and the relationship was mediated by team PsyCap.

This study includes implications for adopting job crafting behaviour at the team level to improve individual IWB.

This cross-level study is the first to verify the effects of team job crafting on individual IWB and team PsyCap as a mediator. This study extends the literature on job crafting by using a multilevel design in the analysis.

This study aims to summarize studies that compared the performance of health-care institutions led by leaders with medical background versus those with no medical background.

A systematic search was conducted on three databases: PubMed, Ovid Medline and Google Scholar to identify relevant peer-reviewed studies using the keywords “performance,” “impact,” “physician,” “medical,” “doctor,” “leader,” “healthcare institutions” and “hospital.” Only quantitative studies that compared the performance of health-care institutions led by leaders with medical background versus non-medical background were included. Articles were screened and assessed for eligibility before the relevant data were extracted to summarize, appraise and make a narrative account of the findings.

A total of eight studies were included, four were based in the USA, two in the UK and one from Germany and one from the Arab World. Half of the studies (n = 4) reported overall better health-care institutional performance in terms of hospital quality ranking such as clinical effectiveness and patient safety under leaders with medical background, whereas one study showed poorer performance. The remaining studies reported mixed results among the different performance indicators, especially financial performance.

While medical background leaders may have an edge in clinical competence to manage health-care institutions, it will be beneficial to equip them with essential management skills to optimize leadership competence and enhance organizational performance.

The exclusive inclusion of quantitative empirical studies that compared health-care institutional performance medical and non-medical leaders provides a clearer link between the relationship between health-care institutional performance and the leaders’ background.

The purpose of this study is to examine the relationship between explanatory language, audit fees and audit hours to demonstrate that auditors use explanatory language in audit reports to explain perceived audit risk.

The authors construct the sentiment value, a novel audit risk proxy derived from audit reports, using big data analysis. The relationship between sentiment value and explanatory language is then investigated. The authors present the validity of their new metric by examining the relationship between sentiment value and accounting quality, taking audit fees and hours into account.

The authors first find that reporting explanatory language is positively related to audit fees. More importantly, the authors provide an evidence that explanatory language in audit reports is indicative of increased audit risk as it is negatively correlated with sentiment value. As a positive (negative) sentimental value means that the audit risk is low (high), the results indicate that auditors describe explanatory language in a negative manner to convey the inherent audit risk and receive higher audit fees from the risky clients. Furthermore, the relationship is strengthened when the explanatory language is more severe, such as reporting the multiple numbers of explanatory language or going-concern opinion. Finally, the sentiment value is correlated with accounting quality, as measured by the absolute value of discretionary accruals.

Contrary to previous research, the authors’ findings suggest that auditors disclose audit risks of client firms by including explanatory language in audit reports. In addition, the authors demonstrate that their new metric effectively identifies the audit risk outlined qualitatively in audit report. To the best of the authors’ knowledge, this is the first study that establishes a connection between sentiment analysis and audit-related textual data.

The purpose of this article is to analyse and illustrate selected aspects of management in South Korea. South Korean management is placed within its South East Asian context; but western influences on it are also identified. Parallels with French management are drawn. The article describes the national and business culture of South Korea. It analyses prevailing approaches to organisation and communication. It discusses and illustrates the changing role of the taipan, the family, the clan, and professional management within the context of the ownership and management of Korean enterprises. It examines working practices and relations. It analyses and comments on style of management. It deals with issues of internationalisation and globalisation. The article concludes by analysing a number of issues that are likely to affect South Korean management after the crisis of 1997‐1998, and more generally in the foreseeable future. The analysis is illustrated by a variety of case examples.