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Human resources can differentiate firms from their competitors or directly affect the success or failure of firms. As in many sectors, there is a need for qualified employees in the logistics sector, which is of great importance for the national economies. Qualified employees in this sector contribute to the success of the companies and the development of the industry. In this study, it is aimed to reveal the qualifications and characteristics of the labour force needed by logistics companies. It was also aimed to show the impact of COVID-19 on logistics job ads. For this purpose, a total of 1,410 job vacancy postings (before COVID-19) and a total of 1,700 job vacancy postings (during COVID-19) were searched on the kariyer.net website with the word “logistics” and analysed by content analysis method. As a result, it was found that the most advertised province was Istanbul in both periods, the most looked up experience requirement in the candidates was 1-5 years in both periods, the opportunities provided to the candidates (transportation, food and beverage, career, social activity) were not mentioned much in both periods. This study reveals the status of logistics job postings in the period before COVID-19 and during COVID-19. It was also aimed to show the impact of COVID-19 on logistics job ads. We investigated whether the logistics employee demand has changed and whether the pandemic is affecting workforce characteristics. This is the first empirical analysis of the impact of COVID-19 on logistics vacancy postings.

The purpose of this paper is to examine the travel motivations, perceived benefits of travel, and the utility of travel mediums among US millennials.

In order to further examine the homogeneity of millennial travelers, millennials were put into two subgroups based on their age and annual income. Data were collected in multiple phases, incorporating both qualitative and quantitative methodological approaches.

Results revealed that several significant differences exist between the proposed millennial subgroups, labeled “young and free millennials” and “professional millennials.”

Implications from this study include direction for both tourism marketers and destination suppliers based on the differences and perceptions of both groups and suggest millennials are not a homogeneous market.

Millennials are far from being part of a homogenous cohort. Therefore, the current study sought to examine differences in the benefits received from travel and the primary reasons to travel among distinct millennial segments.

Sustainable tourism is becoming more popular all over the world. Eco-friendly (green) hotels are properties that are friendly to the environment and are becoming increasingly popular among green travellers. Electronic word-of-mouth is a technique of communicating with consumers in order to share their experiences, and it is a significant marketing tool for hotels. This paper aims to identify the main themes shared in online reviews by tourists visiting eco-friendly hotels, and which of these themes were associated with satisfaction and dissatisfaction ratings.

The research used qualitative content analyses to analyse 1,202 user-generated content of the top 10 hotels in UK shared by guests on an online platform.

The analyses revealed nine themes in descriptions of airline travel experiences. These are “hotel amenities”, “services”, “location”, “staff”, “eco” (eco-friendly activities), “value” and “recommend/revisit” (intentions). Negative comments are associated with the “bathroom”, “mattress”, “water”, “bed”, “price”, “shower”, “Wi-Fi” and “restaurant” concepts.

This study differs from previous research in which it aims to address a void in the literature on the shortcomings of research focused on finding the dominant themes expressed in online reviews by tourists visiting eco-friendly hotels, and it does so using data mining approach.

The purpose of this paper is to explore domestic experiential travel by Chinese millennials, a group of consumers who will increasingly influence the global travel and tourism industry.

A qualitative research method was adopted to explore motivations and memorable experiences of Chinese millennials who successfully mountain biked the Qinghai–Tibet Highway in China.

For Chinese millennial mountain bikers in Tibet, experiential travel motivations and experiences are important. During the trip, they challenged their mental and physical abilities, enjoyed nature, bonded with friends and perceived a warm welcome by Tibetan families. This study adds to existing knowledge on experiential travel, as it was found that transformation was perceived as important outcome of the trip. Participants perceived personal change in attitude and behaviour, which will help them face everyday life challenges.

Further research could focus on gaining insight into other types of Chinese adventure tourists, on comparing wishes and demands of Chinese with other mountain bikers and on developments in transformative travel.

Adventure tourism organisations could adjust their tourism product range to cater more for Chinese millennials who aim to improve their physical and mental skills.

In-depth research into motivations and experiences of Chinese millennials is scarce. The influence of Chinese millennials on the tourism market is already large and will continue to increase.

The purpose of this paper is to aim mainly at social public decision-making problems, studies the corresponding relationship between different voting rule combinations and the final results, and discusses the quantitative relationships between group intelligence (final votes) and individual intelligence (everyone) to defend democracy under the circumstance of rapid development of network technology, and crowd intelligence becomes more complicated and universal.

After summarizing the crowd co-decisions of related studies, the standards, frameworks, techniques, methods and tools have been discussed according to the characteristics of large-scale simulations.

The contributions of this paper will be useful for both academics and practitioners for formulating VV&A in large-scale simulations.

This paper will help researchers solve the social public decision-making problems in large-scale simulations.

Drawing upon self-determination theory (SDT) and the proactive motivation model, this study examined how inclusive leadership is related to organizational citizenship behavior (OCB) through psychological need satisfaction (PNS).

Data were collected from a large Dutch private company in the financial sector (N = 264) and analyzed using structural equation modeling (SEM).

Inclusive leadership positively influenced all three PNS dimensions (autonomy, competence and relatedness). Both autonomy and relatedness fully mediated the relationship between inclusive leadership and OCB. However, this was not the case for competence, although additional analyses revealed the serial mediation of all three PNS dimensions.

By highlighting the mediating role of PNS, this study contributes to the inclusive leadership literature by helping unravel the underlying process through which leaders influence team outcomes. The findings emphasize the importance of inclusive leaders in satisfying employees' individual psychological needs, so that they can redirect their attention toward prosocial behaviors.

The objective of this study is to assess the level of corporate governance (CG) compliance and identify determinants of high compliance in Indonesian publicly listed corporations including family and nonfamily firms. The country uses a voluntary disclosure approach to enforce its regulations; thus, it is important to identify the factors affecting compliance.

Employing a logistic regression model, this paper analyzes the CG index of high-compliance vs. poor-compliance companies and emphasizes factors that contribute to better governance compliance. The CG index of high-compliant firms is almost twice as high as that of low-compliant firms.

The study explores factors that contribute to high CG in an emerging market like Indonesian corporations. The study's findings indicate that family-owned businesses predominate in the low-compliance group. High-compliance firms are older and larger with higher financial performance, free float and leverage, as well as a positive influence of the founder's great leadership. The results support theoretical arguments that concentrated ownership and excessive majority shareholder control are key factors in determining the likelihood of good governance practices by firms. Hence, the market and regulators should devise effective strategies to encourage and reward high compliance.

The findings of the research offer several implications for the academic community and policymakers. Improving CG at the firm level is a viable goal, even though the agenda to reform minority investor protection laws and increase judicial quality is challenging and may take a long time to show significant results. Moreover, this study has some limitations that could be addressed in future research. The study focuses on a single-country setting, Indonesia. There are cultural aspects and governance settings that may be unique in the Indonesian context, which may limit the applicability of the findings to other countries with their own cultural settings and institutional legal framework.

The study investigates the factors that influence high governance compliance in specific CG regulations designed for the emerging Indonesian market. The study also discovers evidence that the crisis period has a favorable impact on the firm's decision to comply with governance provisions.

Considering the vital role of resource-constraint innovation in developing countries, the aim of the study is to examine the mechanism of internal and external heterogeneous knowledge sharing (HKS) in the relationship between sustainable leadership (SL) and frugal innovation (FI). The social exchange theory was used to develop a research framework.

This study employed Partial Least Squares Structural Equation Modeling (PLS-SEM) analysis to examine the relationship among several latent factors based on 263 participants from Pakistani SMEs.

The current findings support the significant positive impact of SL on both internal and external HKS. Moreover, this study also confirms the mediating effect of both types of HKS in the relationship between SL and FI.

To delve further into the benefits and vital role of HKS, it is recommended to conduct further research that would examine the potential impact of heterogeneous knowledge sources on the “SL–FI relationship” and to apply the presented research methodology in other countries and organizations beyond Pakistani SMEs.

This study is one of the first documented attempts to demonstrate HKS as a mechanism in the relationship between a specific type of leadership and FI.

Phishing attacks are the most common cyber threats targeted at users. Digital nudging in the form of framing and priming may reduce user susceptibility to phishing. This research focuses on two types of digital nudging, framing and priming, and examines the impact of framing and priming on users' behavior (i.e. action) in a cybersecurity setting. It draws on prospect theory, instance-based learning theory and dual-process theory to generate the research hypotheses.

A 3 × 2 experimental study was carried out to test the hypotheses. The experiment consisted of three levels for framing (i.e. no framing, negative framing and positive framing) and two levels for priming (i.e. with and without priming).

The findings suggest that priming users to information security risks reduces their risk-taking behavior, whereas positive and negative framing of information security messages regarding potential consequences of the available choices do not change users' behavior. The results also indicate that risk-averse cybersecurity behavior is associated with greater confidence with the action, greater perceived severity of cybersecurity risks, lower perceived susceptibility to cybersecurity risks resulting from the action and lower trust in the download link.

This research shows that digital nudging in the form of priming is an effective way to reduce users' exposure to cybersecurity risks.