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The investigation of pro-environmental behaviors (PEB) among college students is essential for future sustainability endeavors. Existing research seldomly concentrated on college students and their PEB. This study aims to address the gap in understanding PEB among college students.

This study constructed an integrated model combining the theory of planned behavior (TPB) and the value-belief-norm (VBN) theory, with the novel addition of environmental risk perception. Through an empirical study involving 844 college students, this research analyzed the data with the structural model.

The authors identified that environmental values, attitudes, perceived behavioral control, subjective norms and risk perception play crucial roles in shaping PEB. This study also revealed age-related differences, highlighting that older students might be less influenced by attitudes and subjective norms due to more established habits. Findings underscore the importance of fostering PEB through environmental education, promotion of low-carbon lifestyle choices and incentives. This investigation not only enriches the theoretical framework for PEB but also offers practical insights for policymakers and educators to enhance sustainable practices among the youth.

Though the authors offer valuable findings, this research has two key limitations: the use of observational data for hypothesis testing, which weakens causal inference, and the collection of data through questionnaires, which may be biased by social desirability. Respondents of self-report tend to behave in the socially desired ways. Consequently, they usually exaggerate their pro-environmental intention or PEB. To comprehend the influencing aspects more thoroughly, future research should consider incorporating experimental methods and objective data, such as digitalized data.

The findings provide valuable evidence for guiding college students’ PEB, including strengthening environmental education, promoting of low-carbon fashion and providing incentives for PEBs.

First, the authors examine the internal factors influencing PEB among Chinese university students within the “dual-carbon” initiative framework. Second, this research pioneers the use of structural equation modeling to merge TPB and VBN theories, offering a predictive model for university students’ PEB. Third, the authors introduce “environmental risk perception” as a novel variable derived from both TPB and VBN, enhancing the model’s explanatory power.

The main purpose of this study is to identify the dimensions of hotel employees’ job risk perceptions and develop a measurement scale for this construct.

Four studies using a mixed-method design were conducted to develop and validate the scale of hotel employees’ perceived job risk (HEPJR). Study 1 identified the dimensions and initial items of HEPJR through a literature review and in-depth interviews. In Study 2, an explanatory factor analysis was perform to refine the preliminary items. Study 3 further refined the HEPJR scale through a confirmatory factor analysis. Study 4 confirmed that HEPJR is a 19-item scale through a cross-validation analysis.

A reliable and valid scale was developed to measure the following five dimensions of HEPJR: perceived human, equipment, internal environment, external environment and management risks. HEPJR and its dimensions significantly predict negative safety consequences and negative job satisfaction.

Employees in medium- and high-star-rated hotels in China were surveyed. Future research should test the HEPJR scale in other types of lodging formats (e.g. budget hotels, homestays and cruise ships) and different countries or regions.

Given the increasingly serious job risks faced by hotel employees, the HEPJR scale can become a benchmark for job risk identification, accident prevention and safety management.

This scale provides a clear conceptualization and an appropriate measurement tool of HEPJR from a risk-source perspective.

Drawing on the framework of the trickle-down effect and social learning theory, this study aims to examine how and when leaders' voluntary green behavior (VGB) stimulates that of employees.

This study conducted a time-lagged multisource field survey. The final sample consisted of 417 employees matched to 67 leaders. The unconflated multilevel modeling (MLM) approach was employed.

A social learning mechanism underlies the trickle-down effect of leaders' VGB, which involves observation and imitation. The green role model influence serves as a mediator of these two processes. Moreover, leader-member exchange (LMX) moderates the strength of the social learning mechanism.

Leaders can gain useful insights of how to promote employees' VGB and are further inspired to reflect on the managerial philosophy of leading by example.

This study contributes to workplace green behavior literature by examining the trickle-down effect of leader VGB and uncovering a social learning mechanism. This study also offers promising directions for leadership research concerning about role modeling.

The purpose of this paper is to investigate customer loyalty in the online-to-offline (O2O) model by conceptualizing and measuring emotion and cognition.

An online survey was used to collect 514 questionnaire responses. The data were analyzed using structural equation modeling.

Three emotional factors influence two cognitive factors, which in turn affect customer loyalty. The type of message source acts as a moderator. In addition to pleasure and arousal, dominance is a key factor of emotion. The effects of social enhancement and store environment on customer loyalty reflect the O2O model’s integration of online and offline environments.

The moderating role of the type of message source implies that marketers of brick-and-mortar stores can promote positive offline experiences to attract online customers and then encourage these customers to disseminate personal messages in their social circles. By attracting online customers through appealing m-services and retaining these customers through favorable store environments, marketers can maximize the utility of the O2O model.

Three emotional factors and two cognitive factors are conceptualized to predict customer loyalty in the O2O model. This study shows that the relationships between cognitive factors and customer loyalty are moderated by the type of message source. When check-in activity messages are sent by friends, the perception of social enhancement can lead to greater customer loyalty. In contrast, when check-in activity messages are sent by unfamiliar sources, customer loyalty is driven more by cognition of the store environment than by online interaction. The findings enrich existing knowledge of the O2O model and m-services, and have implications for researchers and marketers.

The purpose of this paper is to investigate to what extent the amount, information source and the content of the microblog information disclosure of listed companies could impact on innovation from the perspective of financing constraints.

The propensity score matching (PSM) and two-stage least square (2SLS) are used in estimations to deal with the endogeneity problem.

Evidence shows that the amount of we-media information disclosure significantly drives the innovation of enterprises. The mechanism is that we-media information disclosure drives the innovation by easing the financing constraints and bringing funds to the R&D activities. Further research shows that only the original information can drive the innovation. In particular, the R&D information promotes the R&D input and innovation output more significantly.

The conclusion of this paper provides a reference for the listed companies to drive innovation with the help of we-media information disclosure, a new solution for the small and medium-sized listed companies in China which have difficulty in carrying out innovation activities due to financing constrains and also provides useful practical enlightenment for the government and the capital market regulatory authorities to issue relevant policies to regulate we-media information disclosure.

This paper introduces a new information disclosure channel--we-media into the research on influencing factors of innovation and discusses the influence of the amount, different sources and disclosure contents from we-media on enterprise innovation, which enriches the existing research on enterprise innovation influencing factors, providing a new perspective for driving enterprises to innovate.

A growing body of research from various domains has investigated Airbnb, a two-sided market platform for peer-based accommodation sharing. The authors suggest that it is due time to take a step back and assess the current state of affairs. This paper aims to conflate and synthesize research on Airbnb.

To facilitate research on Airbnb and its underlying principles in electronic commerce, the authors present a structured literature review on Airbnb.

The findings are based on 118 articles from the fields of tourism, information and management, law and economics between 2013 and 2018. Based on this broad basis, the authors find that: research on Airbnb is highly diverse in terms of domains, methods and scope; motives for using Airbnb are manifold (e.g. financial, social and environmental); trust and reputation are considered crucial by almost all scholars; the platform’s variety is reflected in prices; and the majority of work is based on surveys and empirical data while experiments are scarce.

Based on the present assessment of studied topics, domains, methods and combinations thereof, the authors suggest that research should move toward building atop of a common ground of data structures and vocabulary, and that attention should focus on the identified gaps and hitherto scarcely used combinations. The set of under-represented areas includes cross-cultural investigations, field experiments and audit studies, the consideration of dynamic processes (e.g. based on panel data), Airbnb’s “experiences” and automated pricing algorithms and the rating distribution’s skewness.

This study provides a comprehensive overview of work on the accommodation sharing platform Airbnb, to the best of the auhtors’ knowledge, representing the first systematic literature review. The authors hope that researchers and practitioners alike will find this review useful as a reference for future research on Airbnb and as a guide for the development of innovative applications based on the platform’s peculiarities and paradigms in electronic commerce practice. From a practical perspective, the general tenor suggests that hotel and tourism operators may benefit from: focusing on their core advantages over Airbnb and differentiating features and aligning their marketing communication with their users’ aspirations.

This study aims to examine the mediating effect of self-efficacy on the knowledge sharing and management accountant performance relationship. In addition, it also investigates the moderating effect of initiating structure leadership (IS-leadership style) on the relationship between self-efficacy and management accountant performance. In the literature, there is a reciprocal relationship between environmental, cognitive and personal factors, making self-efficacy unable to be maintained without environmental support, which in this research is captured through the construct of leadership style.

This study uses a quantitative methodology with a self-administration survey. This research involved 100 management accountants in Indonesia. Regression Macro Process carried out data analysis.

The findings of this study indicate that knowledge sharing in cognitive psychology encourages increased self-efficacy, which has an impact on improving management accountant performance. Self-efficacy mediates the effect of knowledge sharing on management accountant performance. The existence of induced environmental factors in the form of IS-leadership style has the potential to weaken the impact of self-efficacy on management accountant performance.

This study provides recommendations to companies, especially the human resources division, to consider individual psychological factors in the recruitment process. Thus, companies can carry out preventive control to manage management accountant performance behavior.

This study provides new empirical evidence for reducing the overlap between knowledge sharing and performance by applying personal, organizational and environmental factors simultaneously. This study also enriches knowledge-sharing literature on performance from a social cognitive perspective.

This paper aims to explain a guest’s purchase decision in Airbnb from the perspective of Aristotle’s appeals. In host-created information, the authors investigate which information appeals are significantly considered by guests.

It is hypothesized that a guest’s purchase would be affected by the host-created information’s ethos, pathos and logos.

For the ethos, the super host badge and host review have positive impacts on the purchase; for the pathos, the positive impact of the use of social words is significant. For the logos, the authors have determined that although the price, place picture and star-rating have positive impacts on the likelihood of a purchase, the occupancy has a negative impact on it.

The dependent variable, the number of place reviews, cannot represent the exact number of purchases. Other possible influential factors, such as direct communications between hosts and guests, are not examined.

The findings suggest guidelines for Airbnb and its host users. Specifically, the management of normal host users is revealed as a necessary process for Airbnb’s development. For host users, several guidelines on how to attract more guests effectively are provided.

In contrast to other studies on Airbnb, various pieces of information are considered from holistic perspectives, and each piece’s impact on the sharing behavior is understood by means of a unique theoretical model that is based on Aristotle’s appeals.

This research aims to examine whether the facial appearances and expressions of Airbnb host photos influence guest star ratings.

This research analyzed the profile photos of over 20,000 Airbnb hosts and the guest star ratings of over 30,000 Airbnb listings in New York City, using machine learning techniques.

First, hosts who provided profile photos received higher guest ratings than those who did not provide photos. When facial features of profile photos were recognizable, guest ratings were higher than when they were not recognizable (e.g. faces too small, faces looking backward or faces blocked by some objects). Second, a happy facial expression, blond hair and brown hair positively affected guest ratings, whereas heads tilted back negatively affected guest ratings.

This research is the first, to the best of the authors’ knowledge, to analyze the facial appearances and expressions of profile photos using machine learning techniques and examine the influence of Airbnb host photos on guest star ratings.

The purpose of this paper is to review the extant literature on Airbnb – one of the most significant recent innovations in the tourism sector – to assess the research progress that has been accomplished to date.

Numerous journal databases were searched, and 132 peer-reviewed journal articles from various disciplines were reviewed. Key attributes of each paper were recorded, and a content analysis was undertaken.

A survey of the literature found that the majority of Airbnb research has been published quite recently, often in hospitality/tourism journals, and the research has been conducted primarily by researchers in the USA/Canada and Europe. Based on the content analysis, the papers were divided into six thematic categories – Airbnb guests, Airbnb hosts, Airbnb supply and its impacts on destinations, Airbnb regulation, Airbnb’s impacts on the tourism sector and the Airbnb company. Consistent findings have begun to emerge on several important topics, including guests’ motivations and the geographical dispersion of listings. However, many research gaps remain, so numerous suggestions for future research are provided.

By reviewing a large body of literature on a fairly novel and timely topic, this research provides a concise summary of Airbnb knowledge that will assist industry practitioners as they adapt to the recent rapid emergence of Airbnb.

This is the first paper to review the extant literature specifically about Airbnb.

本论文旨在审视过去文献对Airbnb的研究-旅游业中最显著发明之一-以衡量迄今为止的研究发展历程。

经过大量文献搜索，共132份同行评审型期刊文章，来自不同研究领域，被作者审阅。每个文章的关键词被摘抄出来，本论文采用内容分析方法来分析文本。

经过文献综述，作者发现大多数Airbnb研究都发表在近几年，往往发表在酒店/旅游期刊。期刊文章作者集中在美国/加拿大和欧洲。基于内容分析结果，发表的期刊文章被分类在六个主题-Airbnb顾客、Airbnb服务提供主、Airbnb供应商、以及其对旅游目的地的影响，Airbnb规范、Airbnb对旅游行业的影响、以及Airbnb公司。研究结果还归纳出几项重要的话题，包括顾客动机和民宿地理分布。然而，大多数研究空缺仍然存在，因此，本论文总结出多项未来研究方向。

本论文通过审阅大量较新和及时的文献，对Airbnb的相关知识进行了精准梳理，这个研究结果对从业者适应Airbnb较新较快发展的现象，有着实践意义。

本论文是首篇审阅有关Aribnb文献的文章。

Airbnb、文献综述、共享经济、P2P、短期出租