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The purpose of this paper is to investigate the marketing results of video blogging (vlogging). In particular, the authors are interested in understanding which video bloggers (vloggers) can better help marketers develop their brand image, which vlog viewers tend to evaluate vlogger-endorsed brands more positively, and how these effects occur.

A questionnaire survey was conducted with a convenience sample online. A total of 401 valid responses were collected. Regression analyses and bootstrapping were used to test the hypotheses.

The authors found that vloggers’ physical and social attractiveness and the audience’s viewing motives (entertainment motive and relationship-building motive) and behavior (time spent on the media) increased the audience’s evaluations of the brands endorsed by the vloggers (perceived brand quality, brand affect and brand preference). The authors also found that these relationships were mediated by the parasocial interaction (PSI) between the vloggers and the audience.

The findings of this study suggest that marketers can develop relationships with consumers and enhance their brand evaluations via vloggers. This strategy is more effective when brand managers use more attractive vloggers and target viewers who spend a lot of time on vlogs seeking entertainment or hoping to build relationships.

This study contributes to the literature by showing that vlogging can affect brand evaluations through the development of PSI between vloggers and viewers. The authors extended the focus of vlog marketing research from consumers’ watching and sharing behaviors and their perception of vloggers to brand evaluations, from vloggers’ characteristics to viewers’ characteristics and from the Western to the Eastern context.

The purpose of this paper is to investigate whether embedded employees proactively provide voice for future improvement, and how interactional justice moderates this relationship.

Survey data were collected from the administrative staff and their immediate supervisors of a major university located in Southern China. The data were analyzed using hierarchical linear modeling.

Job embeddedness was positively related to voice behavior toward organization (VBO) but not to voice behavior toward work unit. Interactional justice was positively related to both types of voice behavior. The relationship between job embeddedness and VBO was stronger among employees who perceived lower interactional justice.

To encourage voice behavior, organizations should attempt to enhance employees’ job embeddedness by adopting human resource strategies such as providing training that helps employees to meet their long-term career goals. This is particularly important when supervisors fail to treat their employees with fairness. When employees are treated with fairness by supervisors, they are also motivated to speak up. Thus, supervisors should pay attention to the ways in which they interact with employees.

This paper adds to the existing knowledge of the consequences of job embeddedness by examining its relationship with voice, a proactive behavior which can benefit the organization but is considered as risky by the employees. Additionally, studying the moderating effect of interactional justice enriches the understanding of the conditions under which the relationship between job embeddedness and voice may vary. It also reveals the uncertainty management process underlying the influences of job embeddedness and interactional justice on voice behavior.

The number of studies on the use of choice cues in the purchase decision of a smartphone does not appear to be extensive, given the size and rate of growth of the market. Surprisingly, it appears that no study of this type in the Chinese context has been undertaken. Therefore, the purpose of this paper is to fill the existing gap in the marketing literature in this area.

Best–Worst (BW) scaling method was used in the study. It is suggested that the method overcomes some of the biases commonly found in surveys where Likert-type scales are used, and it has superior discriminating power, because respondents are asked to rank the most and the least important factor from a group, and are thereby forced to make tradeoffs between factors.

Among the 13 choice cues, connectivity, price and memory capacity are found to be the most important, whereas recommendation from others, ease of handling and availability of apps are found to be the least important. Findings due to gender, income and age difference were also analyzed and discussed for orderly decision-making purposes.

The ranking of factors showing what choice cues consumers consider most or least important in a particular market helps practitioners to develop appropriate adaptation strategies for the market. The comparison of findings for gender, income and age difference can further help practitioners to devise various alternative marketing strategies for different market segments and identify underserved segments, if any.

The BW scaling method, however, appropriate in ranking order of importance, had never been used in ranking choice cues of smartphone purchase. Moreover, there seems to be a dearth of studies about ranking of choice cues on smartphone purchases in the Chinese context.

This study aims to investigate the basic public service level in the Beijing-Tianjin-Hebei region under the impact of COVID-19.

This study constructed a basic public service-level evaluation system from the five dimensions of education, culture, health, social security and infrastructure and environment, and measures the basic public service level in 13 cities in Beijing, Tianjin and Hebei using the entropy method. The spatial pattern and dynamic evolution of the public service level are analysed from the perspective of dynamic trends in time series and spatial distribution, along with the reasons for the evolution of spatial distribution.

(1) The basic public service level in the 13 cities is generally on the rise, but the trend is unstable. (2) The basic public service level in space shows a general trend of attenuation from northeast to southwest, with significant spatial imbalance and orientation. (3) The regional differences first increase and then decrease. (4) The inter-group mobility of different basic public service levels is low, and cities with lower initial levels find it difficult to achieve leapfrog development. Moreover, the health service level of the region is still at a low stage, which is not conducive to effectively preventing and controlling the epidemic.

From the perspective of this research, the spatial pattern and dynamic evolution of basic public service were adopted to analyse the coordinated development of the Beijing-Tianjin-Hebei region. Furthermore, this study discusses how to improve the basic public service level to ensure sustainable operation in the region under the impact of COVID-19.

The purpose of this study is to examine factors leading to venture success, emphasizing the role of entrepreneurs as critical in the whole process, based on a sample of women entrepreneurs. Drawing upon the competence-based view of the firm, it examines the effect of entrepreneurial competencies, managerial competencies and reliance on networks toward increased female venture success rates.

A structured questionnaire was allocated to women entrepreneurs to seek respondents’ perceptions. Principal component analysis (PCA) with varimax rotation was undertaken to confirm the constructs’ validity. A hierarchical regression analysis was performed to test the hypotheses.

Networking stands out as having the most significant positive effect on venture success while entrepreneurial and managerial core competencies are both important, with entrepreneurial competencies demonstrating a slightly higher score. Also, years of entrepreneurial experience, entrepreneurial family background and family status prove significant.

The study confirms prior research, highlighting the role of entrepreneurs as central, sharpening understanding of the required determinants of venture success. It further provides new insight into venture success from the perspective of the competence-based theory, highlighting clear-cut competencies.

The study paves the way for the design of entrepreneurial learning programs targeting entrepreneurs and particularly females, highlighting the need for on-going education and educational programs to support entrepreneurs and distinctly women.

The study contributes to the effective management of venture progress and success and provides insight into entrepreneurs and policymakers.

The present study seeks to shed further light on the effectiveness of Basu (1997) and Khan and Watts' (2009) differential timeliness metrics in detecting predictable differences in conservatism following corrections of restated earnings.

Using cross-sectional and time-series analyses for companies listed on the Tehran Stock Exchange during 2009–2013, the results indicate lower conservatism for restating firms as compared to their counterparts during prerestatement period.

Using cross-sectional and time-series analyses for companies listed on the Tehran Stock Exchange during 2009–2013, the results indicate lower conservatism for restating firms as compared to their counterparts during prerestatement period. In contrast, our findings are indicative of higher conservatism among these restating firms during the years of restatements. Moreover, the time-series approach captures a higher conservatism for the restating firms during restatement years than prerestatement periods. Overall, these results provide insight into the usefulness of the metrics used in the restatement setting.

Similar to recent papers, the present study seeks to shed further light on the ability of Basu-based coupled with Khan–Watts-based measures of conservatism to detect situations in which companies' earnings are known to be significantly restated.

The purpose of this paper is to explore the features of health misinformation on social media sites (SMSs). The primary goal of the study is to investigate the salient features of health misinformation and to develop a tool of features to help users and social media companies identify health misinformation.

Empirical data include 1,168 pieces of health information that were collected from WeChat, a dominant SMS in China, and the obtained data were analyzed through a process of open coding, axial coding and selective coding. Then chi-square test and analysis of variance (ANOVA) were adopted to identify salient features of health misinformation.

The findings show that the features of health misinformation on SMSs involve surface features, semantic features and source features, and there are significant differences in the features of health misinformation between different topics. In addition, the list of features was developed to identify health misinformation on SMSs.

This study raises awareness of the key features of health misinformation on SMSs. It develops a list of features to help users distinguish health misinformation as well as help social media companies filter health misinformation.

Theoretically, this study contributes to the academic discourse on health misinformation on SMSs by exploring the features of health misinformation. Methodologically, the paper serves to enrich the literature around health misinformation and SMSs that have hitherto mostly drawn data from health websites.