Destination image is essential to tourists' loyalty and has been discussed in length among researchers and marketers in the tourism industry for decades. Based on a literature review, the destination image model, including cognitive image, affective image, and conative image, has been firmly established as an acceptable means to gain an understanding of tourists' behavior toward revisiting and recommendations. The understanding of the moderating role of cultural constructs is still unclear, especially in cross-cultural travel behavior. Therefore, this conceptual paper proposes an integrated model of cognitive-affective-conative image that includes the constructs of individualism and uncertainty avoidance. Based on the underpinning theories and empirical studies, this paper proposes affective image potentially mediates the correlation between cognitive image and conative image. This model also incorporated individualism and uncertainty as potential moderating effects between affective image and conative image. By integrating individualism and uncertainty avoidance into the theoretical model from the perspective of tourism, this paper contributes to a more comprehensive understanding of the influence of travel behavior on emerging tourism marketing.
The use of the Internet has been increasing dramatically over the decade in Malaysia. Excessive usage of the Internet has lead to a phenomenon called Internet addiction. There is a need for a reliable, valid, and simple-to-use scale to measure Internet addiction in the Malaysian population for clinical practice and research purposes. The aim of this study was to validate the Malay version of the Internet Addiction Test, using a sample of 162 medical students. The instrument displayed good internal consistency (Cronbach's α = .91), parallel reliability (intraclass coefficient = .88, P < .001), and concurrent validity with the Compulsive Internet Use Scale (Pearson's correlation = .84, P < .001). Receiver operating characteristic analysis showed that 43 was the optimal cutoff score to discriminate students with and without Internet dependence. Principal component analysis with varimax rotation identified a 5-factor model. The Malay version of the Internet Addiction Test appeared to be a valid instrument for assessing Internet addiction in Malaysian university students.
To demonstrate how green innovation (GI) effectively occurs, this study examines the effects of green intellectual capital (GIC) on GI from the perspective of green supply chain integration (GSCI). Based on a natural-resource-based view and knowledge-based view, the authors constructed an intermediary model of GIC-GSCI-GI, and analyzed the effects of green absorptive ability (GAA) and relationship learning ability (RLA) as moderators. An empirical survey of 328 Chinese manufacturing companies was conducted. Our results indicate that three dimensions of GIC positively impact GI. The mediating effects of internal and external GSCI exist in the relationship between GIC and GI. The moderating effects of GAA and RLA in these effects were also verified. Our study provides further empirical evidence for the relationship between GIC and GI, highlights the effects of companies' internal and external abilities on GI, and suggests new ways and implementation contexts for GI.
Against the backdrop of an aging global population and the increasing pressure of medical care expenditures for seniors, this paper used a fuzzy regression discontinuity (FRD) model to explore the effects of retirement on the self-assessed health and objective physical and mental health of older people. Using survey data from the China Health and Retirement Longitudinal Study (CHARLS), our model addresses some relevant academic controversies. Our sample was comprised of male respondents from government agencies, enterprises, and public institutions. The research explored the impact of retirement on lifestyle habits and included an in-depth analysis of the mechanism through which retirement influences different aspects of health. The results show that: (1) Retirement does not have any significant impact on objective health, including depression and self-care ability, but it does cause a notable decline in subjective health assessment. (2) Retirement shortened the sleep time of respondents, which may account for lower scores on subjective health self-evaluations, but it did not lead to any noticeable improvement in habits which are harmful to health, such as smoking and drinking. (3) Marriage can help alleviate the problems of depression and smoking among older people, and education has a somewhat broader positive effect on their health and lifestyles; however, neither factor helps to improve the sleep problems of older people. Therefore, this paper recommends that efforts should be made to both optimize retirement policies and seek further ways to improve the health of the retired population.