Perceptions of determinants of job selection in the hospitality and tourism industry: The case of Korean university students

ABSTRACT

This study explores the key factors influencing potential employees in the hospitality and tourism industry and examines whether causal relationships between behavioral attitudes, subjective norms, and perceived behavioral control influence students' job selection. The study suggests that the career decision-making process is related to job selection. A total of 307 responses were analyzed. The results explain individual students' attitudes toward a behavior and perceived behavioral control in the context of their job selection. Attitudes toward a behavior and job selection had significant effects on career decisions. On the other hand, opinions of significant others had no significant effect. Perceived behaviors required to decide on jobs had a significant effect on job selection intentions. Students with internship experience were likely to form positive attitudes toward the hospitality and tourism industry, suggesting internships to be a useful source of a stronger relationship between the industry and job aptitudes of students in hospitality and tourism programs. The results have important implications.     

Does telic/paratelic user mode matter on the effectiveness of interactive internet advertising? A reversal theory perspective

Drawing on reversal theory (Apter, 2007), the current research proposes that internet users' metamotivational state (telic vs. paratelic) determines advertising interactivity's effectiveness. An online field experiment involving 141 Facebook and Twitter users tests this proposition. Research findings support telic state consumers form more positive attitudes toward a low-level interactive ad, whereas paratelic state consumers form more positive attitudes toward a high-level interactive ad. Further, this research shows that an arousal seeking tendency mediates the metamotivational state's impact on ad attitude.     

Cultural Differences in Online Community Motivations: Exploring Korean Automobile Online Brand Communities (KAOBCs) and American Automobile Online Brand Communities (AAOBCs)

To gain a better understanding of online brand communities, this study has examined why people joined in online brand communities and whether there were some differences in the motivations of Internet users based on different cultures. Open-ended questions were asked to the community members from both South Korean Automobile Online Brand Communities (KAOBC) and American Automobile Online Brand Communities (AAOBC) in the first stage and then generated and utilized an online survey for the study. The study found that KAOBC members tended to have a stronger social network, business, and communication motivations than AAOBC members. As a primary motivation, information seeking is the strongest motivation for members of both KAOBC and AAOBC. They had a similar level of information motivation.     

A composite measure of performance–expectation and performance-only measures

Performance–expectation measures and performance-only measures of service quality have been widely used in the literature. However, either of the two measures is not sufficient to explain customers’ evaluation of service quality and satisfaction. Their assumptions are too restrictive to explain the evaluation processes. From an analytic perspective, this paper derives a composite measure integrating both measures for service quality. The previous measures are nested in the composite measure. Due to this feature, the composite measure is more flexible than the previous measures. It can account for conflicting theories and empirical findings supporting each of the two measures. Furthermore, the composite measure allows us to interpret the link between service quality and customer satisfaction more intuitively.     

Seemingly inconsistent analyst revisions

In about 20%–30% of cases where an analyst revises two outputs (namely, earnings estimates, target prices, or stock recommendations) simultaneously, the two estimates are revised in opposite directions. Existing literature notes that these inconsistent outputs are widespread, and concludes that they are lower-quality, driven by strategic bias, and are viewed as less valid by investors. We find that these characterizations are generally inaccurate. Apparent inconsistency is largely driven by accounting and economic factors, with only limited evidence that investment banking-related conflicts play a role. Moreover, inconsistent outputs are neither less accurate than consistent outputs nor do they resolve less investor uncertainty upon their release. Overall, our results suggest that researchers should be cautious in interpreting the correlation between analyst outputs as a measure of bias or quality, and in using a single analyst output as a proxy for an analyst's overall views.     

Segmenting Green Consumers in the United States: Implications for Green Marketing

The purpose of the current study was to segment U.S. consumers into four distinct clusters based on their beliefs and motives regarding pro-environmental consumer behavior. Using a nationally representative sample of U.S. adults from Experian Simmons (N = 22,348), this study revealed that: (a) there are four clusters of consumers in the United States with a unique set of beliefs and motives regarding consumer environmentalism; (b) the clusters have distinct demographic and media usage profiles; and (c) the groups have varying responses to the industry's initiatives to protect the environment. Implications of the research are discussed in light of developing message and media strategies for green marketing.     

Which Net Capital Flows Matter?

This article classifies extreme net capital flow episodes into four types and analyzes the macroeconomic impacts of each type. First, we find that all types of episodes increased drastically in the 2000s relative to previous years. Second, we conclude that liability-flow-driven episodes have more significant macroeconomic impacts than do asset-flow-driven episodes. Third, we show that only drastic positive net capital flows that were driven by liability flows were associated with a higher probability of banking crises in the 2000s. The results suggest that the detailed classification of extreme net capital flows provides insight into these movements’ macroeconomic impacts and policy implementations.     

Do analysts who understand accounting conservatism exhibit better forecasting performance?

This study investigates the performance of analysts when they match the asymmetric timeliness of their earnings forecast revisions (i.e., asymmetric forecast timeliness) with the asymmetric timeliness of firms’ reported earnings (i.e., asymmetric earnings timeliness). We find that better timeliness‐matching analysts produce more accurate earnings forecasts and elicit stronger market reactions to their forecast revisions. Further, better timeliness‐matching analysts issue less biased earnings forecasts, more profitable stock recommendations and have more favorable career outcomes. Overall, our results indicate that analysts’ ability to incorporate conditional conservatism into their earnings forecasts is an important reflection of analyst expertise and professional success.     

Credit Rating and Monetary Policy Transmission to Equity Markets: Evidence from the Emerging Market

This study empirically estimates credit channel of the monetary policy and corporate stock return using daily stock return data including the sample with non-financial firms listed in Korea stock exchange (KOSPI). Empirical results support that changes in the basis rate turn out to increase equity returns in case of the firms with higher credit rating compared to the previous year. The estimation results confirm the conjecture that monetary policy has a significant impact on stock market through the channel of changes in credit rating.