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This study aims to examine how chief executive officer's (CEO) personality traits influence the corporate sustainability performance (CSP) of firms. The paper also examines the moderating effect of board power on this relationship.

Using a linguistic tool (IBM's Watson Personality Insight Service), the authors measured the personality traits of 229 CEOs from 176 firms from 2009 to 2018. Firm-level CSP are obtained from the Sustainalytics database. The hypotheses are tested using multiple regression analysis. The robustness of the results of the study is confirmed by addressing endogeneity concerns and by validating the measurement of CEO personality traits using Personality Recognizer, an alternative linguistic tool.

The results show that CEO personality traits of extraversion and neuroticism are significant predictors of CSP. The paper also identifies board power as a contingent factor that influences the suggested relationships.

Using upper echelon theory and cybernetic big five theory, this paper identifies CEO personality traits as important antecedents of corporate sustainability performance and adds to the micro-foundations of corporate sustainability literature. To the authors’ understanding, this is the first study that examines the influence of CEO personality on CSP using a comprehensive trait framework. The paper also demonstrates the usefulness of text-analytic tools to measure CEO personality traits, thereby contributing to the progress of upper echelon theory.

This study aims to examine the relationship between digital transformation (DigiTr), innovation and human resources planning (HRP) in hotels to investigate the impact of DigiTr on innovations and HRP and to test the mediating impact of innovation on the DigiTr-HRP relationship.

The authors used a quantitative research method in this study, specifically by conducting a hybrid face-to-face and online survey to collect data from 462 human resources (HR) managers, department managers and HR professionals at four- and five-star hotels in Turkey. The structured questionnaire assessed DigiTr, innovations in business models, services and processes and quantitative and qualitative changes in HR. The authors used covariance-based structural equation modeling to test the hypotheses.

DigiTr affected both innovations and HR planning in hotels, and also the effect of innovations on HR planning. In addition, DigiTr and innovations increased qualitative changes in HR planning but reduced quantitative changes. Finally, innovations mediated the relationship between DigiTr and HR planning.

These findings indicate that employers and employees need to be aware of developments in employment in the tourism industry, as these can significantly impact HR planning via DigiTr and innovations.

This study differs from the existing literature by providing empirical evidence to fill the knowledge gap regarding how DigiTr and innovation affect HR planning.

本研究考察了酒店数字化转型、创新和人力资源规划之间的关系, 以调查数字化转型对创新和人力资源规划的影响, 并检验创新对数字化转型与人力资源规划关系的中介影响。

我们在这项研究中使用了定量研究方法, 特别是通过进行面对面和在线混合调查, 从土耳其四星级和五星级酒店的 462 名人力资源经理、部门经理和人力资源专业人士那里收集数据。结构化问卷评估了数字化转型、商业模式、服务和流程的创新, 以及人力资源的数量和质量变化。我们使用基于协方差的结构方程模型来检验假设。

数字化转型既影响了酒店的创新和人力资源规划, 也影响了创新对人力资源规划的影响。此外, 数字化转型和创新增加了人力资源规划的质变, 但减少了量变。最后, 创新在数字化转型和人力资源规划之间的关系起到了中介作用。

这些调查结果表明, 就业发展可以通过数字化转型和创新显着影响人力资源规划, 因此雇主和雇员需要了解旅游业关于就业的发展动向。

The purpose of this paper is to evaluate the adherence and abandonment of the Turkish emerging adults in an Izmir University located at western Mediterranean coast of Turkey and to assess potential associations with anthropometric characteristics.

A cross-sectional survey (n=494, 18–27 years) carried out in 2017 among emerging adults in University. KIDMED Index was used to assess the degree of adherence Mediterranean Diet (MedDiet). The associations of KIDMED scores with demographic, residency and anthropometric were separately reported. The data were collected through standardized questionnaires directly from participants.

The average KIDMED score was calculated 4.86±2.5. Optimum adherence to the MedDiet was found only in 13.0 percent of participants, whereas 32.6 percent had poor adherence levels. Considering self-reported anthropometric data, the BMI values of the population was calculated as 22.3±3.9 kg/m². In population, 13.9 percent of the subjects were underweight, while 16.0 percent were overweight and 3.9 percent obese. A significant association was found between BMI and KIDMED scores both in genders and residency.

This is the first study reporting the level of adherence to the MedDiet among Turkish emerging adults in terms of residency during education and the first KIDMED study conducted in Izmir located at Aegean Sea. The results support previously proposed transition concept by several scholar from different Mediterranean countries: it was found that only 13 percent of young adults having desired dietary habits in an Aegean city with local traditional cuisine highly affected by Cretan cuisine. These results are significant for University managements and health authorities in order to take actions for returning this transition contrariwise beginning with these groups.

This study aims to examine consumers' purchasing and consumption behavior regarding big data embedded in packaged food post-Covid-19. The second purpose is to determine whether consumer purchasing behavior varies depending on the variety and volume of big data on food packages.

Semi-structured interviews were conducted to investigate consumer sentiment regarding big embedded data in packaged foods during purchasing. Based on samples from packaged foods sold in international chain stores, interview data collected from 24 participants were subjected to systematic analytical procedures.

The results revealed that before Covid-19, consumers had positive thoughts about the expiration date, brand, and product contents but did not care much about other data. At the same time, post-Covid-19, there were changes in their attitudes and behaviors on this issue. Post-Covid-19, it has been observed that consumers have positive attitudes and behaviors toward human health and food safety issues regarding unprocessed big data in packaged foods.

This study provides a different perspective on consumer purchasing behavior through big data on packaged foods post-Covid-19. Embedded information in packaged foods provides important data regarding consumer purchasing behavior. As a powerful source of consumer sentiment, this data also provides a reference for consumer purchasing decisions.

This study aims to determine the influence of candidate employees' social media accounts (SMAs) on human resource (HR) professionals' hiring decisions as a job application reference in the tourism industry.

Using a qualitative approach, semi-structured interviews were conducted in tourism businesses, such as hotels, travel agencies, restaurants, bars, and ground-handling service companies. In-depth, open-ended interviews with 16 questions were conducted to gather data face to face between October 15 and December 20, 2021, with 38 HR professionals. The research questions were analyzed using thematic analysis and discussed under three main themes.

The findings of this study showed that HR managers in the tourism industry generally prefer to examine candidates' SMAs rather than traditional references because they can quickly and cheaply screen many applicants.

Social media (SM) is increasingly used as a crucial channel in recruitment within organizations. This paper contributes by filling a gap in HR management, which empirical studies on the influence of job applicant's SMAs on recruiters' hiring decisions have been limited so far.

This study aims to reveal the mediating role of patient satisfaction on the impact of relationship marketing on hospital loyalty.

The scale questionnaires used in the study was the Relationship Marketing, Hospital Loyalty and the Patient Satisfaction Scale. The population of the study is made up of the patients who received in-hospital services in private hospitals operating in Kocaeli province. The field study was conducted between August 1 and October 31, 2019. After determining the sample size, the study was conducted on 401 patients in private hospitals primarily using the purposive sampling method. Descriptive statistics, correlation analysis and statistical package for the social sciences Process Macro were used to analyze the data.

According to the findings of this study, patient satisfaction has an effect on hospital loyalty. Relationship marketing has an impact on hospital loyalty, and this effect is further enhanced by patient satisfaction. In other words, patient satisfaction has a mediating role in the impact of relationship marketing on hospital loyalty. Relationship marketing plays an important role in creating hospital loyalty and patient satisfaction. For this reason, it is recommended that health institutions adopt relationship marketing practices. Hospital loyalty and patient satisfaction will be ensured through relationship marketing. This will allow the health-care institution to continue to exist and to be more advantageous than other institutions.

The uniqueness of the paper lies not only in the only regression findings but also in the methodology used to capture the impact of the lagged effect of marketing relationships on hospital loyalty. Specifically, a regression model is based on both direct and indirect effects.

Corporate spin-offs have become more popular as a restructuring technique in recent decades. The market performance of these spun-off subsidiaries has been considered critical, as positive market signals are vital to the success of these newly independent firms. Drawing on both the stewardship and resource dependence theories, this study aims to examine how two critical governance characteristics (namely, CEO duality and board size) affect the change in the market valuation of spun-off subsidiaries. This study proposes that both board size and CEO duality of spun-off subsidiaries should positively influence the change in market valuation.

This study used the SDC Platinum database to identify completed corporate US spin-offs between 2000 and 2014. To ensure consistency across spin-off events, this study included only those in which 100 percent of outstanding shares of spun-off subsidiaries were distributed. The study confirmed the SDC Platinum listings using online resources such as The Wall Street Journal and Lexis/Nexis. The study used weighted least square (WLS) regression to test all the proposed models.

This empirical analysis of 134 US-based spin-offs supported both main hypotheses. Furthermore, the analysis also finds that firm size has significant moderating effects on the link between governance structure and market performance.

These findings contribute to the governance literature on corporate spin-offs by advancing our understanding of the role of CEO and board characteristics in improving these subsidiaries' market valuation, as well as the moderating effect of the firm size.

The purpose of this paper is to develop a theory of preventive health management for high-risk employees, who are the 1-3 percent with a propensity to become dangerous.

The paper reviews the literature and design a prevention model for high-risk employees that relies on primary, secondary, and tertiary surveillance indicators as well as prevention methods. The behaviors of these employees are often not accidental, even if not always intentional.

Primary prevention through organizational socialization and supervision can reduce emergence of high-risk employees. Early identification through secondary surveillance then prevention of incivility and deviance can deter escalation to violent behavior. When high-risk employees become dangerous and violent, tertiary prevention calls for containment, caregiving, forgiveness, and resilience.

The paper suggests that HR professionals can advance health, well-being, and performance while averting danger and violence by identifying and managing high-risk employees, anticipating their needs, and providing supportive resources and advising.

The paper applies public health prevention to deviant and violent employees.