Search results

People differ in the extent to which they dispositionally monitor their projected images, expressive behavior and self-presentation according to the contingencies of the situations. Building on Snyder’s self-monitoring theory, this paper aims to assess the influences of self-monitoring on entrepreneurial intention and explain the process responsible for these effects. Because high self-monitors and low self-monitors differ in their ability to adapt their self-presentation and patterns of behaviors to the contingencies of the situation, it was reasonable to suspect that chameleon-like high self-monitors will be more prone to entrepreneurship than true-to-themselves low self-monitors.

Based on a sample of 296 respondents, a self-administered questionnaire assessing the attitude toward entrepreneurship, risk aversion, entrepreneurial intentions and the four dimensions of self-monitoring (acting ability, extraversion, other-directedness and speaking ability), and other control variables was conducted.

The findings of this study generally support that self-monitoring has relevance in predicting an individual’s entrepreneurial intentions. Because high self-monitors have more acting and speaking abilities, are more extroverted and are more concerned with how others perceive them than are low self-monitors, they would be more likely to start a business and become business owners as they possess favorable attitudes toward entrepreneurship. The overall result regarding risk aversion fails to support a mediating relationship between self-monitoring and entrepreneurial intentions. However, at the same time, the findings confirm that risk aversion directly reduces entrepreneurial intention.

The findings expand the implementation of Snyder’s self-monitoring theory in the entrepreneurship arena and make an important contribution to the many additions and alterations that have been implemented to the theory of planned behavior in the entrepreneurship literature to better explain entrepreneurial intentions and behaviors. The results add to these works by demonstrating that self-monitoring is a trait that influences the attitude toward entrepreneurship. Also, attitude toward entrepreneurship was found to be a mediator of the relationship between self-monitoring and entrepreneurial intentions. The limitation concerns the use of a convenience sample of students and cross-sectional data.

The outcomes of this study suggest greater utility for developers of educational curriculums, training programs and start-up knowledge in entrepreneurship. Targeting high self-monitors for training and educational programs in entrepreneurship and including the dimensions of self-monitoring, particularly acting abilities, speaking abilities, extraversion and other-directedness, in entrepreneurship training content will make these programs more successful, offered to the correct target and able to provide personalized content. Building on these results, governments, policymakers, nonprofit organizations and universities who are concerned about the encouragement of entrepreneurial spirit might take advantage of self-monitoring in their awareness advertising campaigns.

Past research in psychology, management and marketing has provided empirical support for the major propositions of Snyder’s self-monitoring theory. Largely unaddressed, however, is the question of whether self-monitoring might be a driver to take steps to start a business. To the best of the author’s knowledge, this study is among the first studies – if not the first – to provide evidence that self-monitoring leads to more favorable attitudes and intentions in the entrepreneurship domain. The positive effects found here increase the importance of self-monitoring as an individual-difference construct that broadens the knowledge of why some people are more predisposed to entrepreneurship.

The purpose of this paper is to assess the extent to which personal values affect entrepreneurial intentions and the extent to which this relationship depends on gender among the millennial generation.

This relationship was examined using the list of values (LOV). Based on a sample of 600 respondents born between 1977 and 1994, a self-administered online questionnaire was conducted.

The partial least squares structural equation modeling (PLS-SEM) approach demonstrated that Generation Y members who give higher priority to self-direction, social affiliation and hedonic orientation values have greater entrepreneurial intentions. Across gender, the PLS-multigroup analysis (MGA) approach reveals that self-direction values enhance entrepreneurial intention for Generation Y females but not for males. Social affiliation values improve entrepreneurial intention for Generation Y males but not for females. Hedonic orientation values rise entrepreneurial intentions for both Generation Y males and females similarly. The findings give also a ranking of the nine LOV.

Across-cultural comparisons are lacking in this research. This study only focuses on the value–intention relationship. Future research could study the value–attitude–behavior.

The results provide implications to all agents concerned by promoting new enterprises and feminine entrepreneurship regarding the implementation of personal values in fostering the venture creation process and stimulation of people to become business owners.

Little is known about the role of personal values in venture creation. The findings provide support for the role personal values play in building entrepreneurial intentions. The focus here was on Generation Y. The generation that faces problems of unemployment, job loss and poverty specifically in the time of crises of the COVID-19 pandemic. The value-based entrepreneurship approach is a proliferating field of research as the world seeks to rebuild economies.

The demand for over-the-top (OTT) video streaming services has grown manifold in the last few years. With increasing competition in the OTT market, it is vitally important for businesses to understand OTT retail consumers' continuance intentions. This study aims to understand the antecedents of the continuance intention of OTT platforms and distinguish the most essential and best-performing predictor variables of continuance intention.

The study employs an integrated research model based on the theory of planned behavior (TPB), flow theory and habit. Data collected from OTT retail consumers (n = 383) using the online survey method are analyzed using partial least squares structural equation modeling.

The results elucidated which TPB antecedents and dimensions of flow experience affect OTT platforms' continuance intention. The most important factors affecting continuance intention were habit, attitude and perceived behavioral control, while the best-performing factors were perceived behavioral control, perceived enjoyment and attitude.

The study is unique in harmoniously integrating conscious cognitive intention, intrinsic motivation and habit of performing an activity to explain OTT platforms' continuance intention.

The purpose of this study is to explore the factors influencing viewers’ engagement intention in travel live streaming (TLS) from a perceived value perspective.

This study used a mixed-methods approach. In Study 1, 48 semistructured interviews were analyzed based on grounded theory and perceived value theory, and a research framework was established to investigate the impact of viewers’ engagement intentions in TLS. In Study 2, partial least squares structural equation modeling (PLS-SEM) was used to empirically validate survey data from 255 TLS viewers.

Through an analysis of the interview content, it was found that the expertise and interaction of the live streamer in TLS as well as the immersion, aesthetics and novelty of the live streaming scene are key influencing factors that affect the engagement of TLS viewers. This finding was confirmed through empirical research.

This research provides practical suggestions for live streamers, TLS platforms and local government to increase viewer engagement. Specifically, it provides methods and directions for the individual improvement of live streamers, further promotes the development and construction of the platform and underscores the importance of government initiatives in policy support and regulatory framework development.

This study focuses on the less-researched field of TLS. Using a mixed-methods approach combining interviews and PLS-SEM, this study explores the key factors that affect the engagement of TLS viewers based on the characteristics of live streamers and live streaming scenes.

This paper aims to shed light on differences in the patterns of online rating behavior that Chinese- and English-speaking travelers adopt when making hotel reviews on TripAdvisor.

A dual analysis was conducted on 800 online reviews for eight hotel brands. The brands, which are currently operating in Bangkok City, are considered to be representative of their categories. The hotels were selected based on their abilities to meet the quantitative and qualitative requirements of the text mining strategy adopted in this study.

The results reveal that, with respect to all of the hotel service attributes (i.e. Service, Cleanliness, Room, Sleep Quality, Location, Value and Overall), the ratings offered by the English-speaking guests were higher than the Chinese-speaking travelers. Based on the qualitative analysis, the ten service attributes which had the most impact on traveler satisfaction were distinguished. These attributes were then classified into three broadly themed categories including intangible service, tangible service and staying experience. The results from the word frequency analysis also helps to clarify which features are drawing attention from travelers from different backgrounds.

This study contributes to tourism and hospitality literature by confirming certain differences in the online rating behavior of Chinese- and English-speaking hotel guests.