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Retail property is an important property investment sector. The purpose of this paper is to assess the importance of retail property type, size and region in Australian retail property and the strategic role of direct retail property and retail listed property trusts (LPTs) in a mixed‐asset portfolio.

This paper analyses the performance of retail property in Australia over 1995‐2005 for both direct and indirect retail property. Risk‐adjusted performance analysis is used to assess the added value of retail property in a mixed‐asset portfolio, with the portfolio diversification benefits of retail property also assessed.

The paper finds that retail property and retail LPTs have delivered substantial risk‐adjusted returns and portfolio diversification benefits over 1995‐2005. The retail property sub‐sectors of retail property type, size and region have different performance characteristics; particularly highlighting the substantial role of geographic diversification as the most effective portfolio diversification strategy for retail property investors. Direct retail property and retail LPTs are also identified as having different performance characteristics and each contributing substantially to an institutional property investment strategy.

Previous retail research has been at an “overall” Australian retail property level. This paper rigorously assesses retail property at a retail sub‐sector level regarding retail property type, size and location. This level of analysis enables more informed and practical investment decision‐making regarding the role of retail property in a mixed‐asset portfolio for both direct and indirect retail property as part of an institutional property investment strategy.

This qualitative study explores how Chinese senior outbound tourists perceive support from their adult children and what kinds of support they desire.

Qualitative data were collected from semi-structured interviews with 26 participants. Transcribed interviews were analysed via thematic analysis.

This study captured the contradictory feelings of different types of Chinese senior outbound tourists (i.e. independent, neutral, and dependent) according to the degree of desire for support from their adult children. The results further identified the real desires among Chinese senior outbound tourists for children's attitudinal support, caring support, appropriate financial support, companionship, and timing support.

Since this qualitative research is based on small samples with typical social and cultural characteristics, our research results only describe an existence. Our findings provide insight into the existence of the phenomenon, rather than allowing the results to be generalized to the wider population (Gram et al., 2019).

The tourism industry could develop products to alleviate such feelings. Integrating the concept of filial piety into adult children's support for their parents' overseas travel can not only meet parents' expectations but also relieve parents' ambivalence. Destination operators and travel agencies could thus design mixed products targeting Chinese elderly parents and their adult children by providing activities for both generations. Purchasing behaviour represents a type of emotional and instrumental support for the elderly. Destination operators and travel agencies can also launch products suitable for in-depth outbound travel that cater to adult children's leisure travel while meeting the elderly's travel needs.

This study also extends both intergenerational support theory and intergenerational ambivalence theory regarding Chinese senior outbound tourists.

This study chooses the content perception perspective to develop a theoretical model portraying the psychological activities of Web surfers exposed to content Web sites. After collecting 549 empirical observations in a controlled lab environment, tests the theoretical relationships by using the structural equation modelling (SEM) technique. The results strongly indicate that effective content perceptual dimensions can help content Web surfers to develop positive attitudes toward content sites, which in turn induce favorable behavioral outcomes such as frequent site usage and loyalty. Such a proposed theoretical model not only has the potential to enrich the theoretical underpinning of Internet studies but also presents a practical framework to guide content strategy formulations for the online content industry. Detailed implications for both managerial research and practice are discussed.

This study aims to explore the role of international ambidexterity (IA) in improving the innovation capability of emerging market multinationals. In particular, the main purpose of this research is to study the relationship amongst digitalisation, IA and innovation performance (IP) amongst multinational enterprises in China’s healthcare industry.

The data for this investigation were collected from 134 listed companies in China’s healthcare industry during the study period. This study tested the hypotheses by constructing a two-way fixed-effects model.

The results show that both the balance dimension and the combined dimension of IA have significant positive effects on IP. Digitalisation not only has a direct positive effect on IP but also positively moderates the positive correlation between IA and IP.

Previous studies have not captured the relationship between ambidexterity, digitalisation and IP, and this study helps to fill in the gap and examine these associations in China’s healthcare industry. The results of this study provide valuable insights for healthcare industry managers to understand the role of ambidexterity and digitalisation in innovation in the context of internationalisation.

The authors focus on a non-Western setting that has hardly featured in debates around political authenticity, Taiwan. The authors also adopt a novel inter-generational perspective to look at varying attitudes towards two ‘unconventional’, high-profile politicians, Ko Wen-je and Han Kuo-yu. Drawing on focus group data, the authors note the similarities and differences in the way that the different generations engage with, and assess, the two politicians with a particular focus on the extent to which their personalities, appearance, and everyday activities are perceived as authentic.

Social media platforms established social relationship between the consumer and the brand community. The purpose of this paper is to propose a model to understand how dual-identification impact on the community citizenship behavior (CCB). Specifically, the authors propose perceived community-brand similarity (PCBS) influence CCB via dual-identification and brand passion (BP).

The research sample consists of 323 members who have used Apple product and used Apple fan page for more than one year, and structural equation modeling was used to test the research hypotheses.

The results indicated that PCBS directly influenced brand identification (BI) and community identification (CI), respectively. BI directly influenced CI. CI directly influenced BP, but BI not directly influenced BP. In the mediation effects, both the dual-identification factors and BP play important mediating roles.

From a managerial standpoint, this research provides implications for social network sites management.

This research fills a void in the BI and CI are coexisting but distinct aspects of virtual communities. In addition, the mediating role of dual-identification factors and BP in the online community consumer-brand relationship has not been fully investigated.

The study aims to examine “Advertisement content likeability” and its relationships with consumers' purchase and sharing intentions.

Second-order factor analysis was applied. Structural equation modeling (SEM) was used to measure the moderating effects of technology adoption model, knowledge sharing and Internet maven traits on advertising content's virality.

Results indicate the dimensional structure of ad content likeability that is relevant in predicting consumers' sharing and purchase intentions. Furthermore, the moderating effects of technology acceptance factors (perceived usefulness and ease-of-use), knowledge sharing motives (altruism, reputation and expected reciprocal benefits) and senders' Internet maven characteristics were also found on “Ad content likeability” and “sharing intentions.”

The study expands the theoretical horizon of factors that significantly increase an advertisement's velocity to become more viral.

Building upon studies of value theory and social psychology literature, the purpose of this paper is to empirically test a research model that incorporates antecedents of value (mobile convenience, service compatibility, security risk, and cognitive effort) and mobile value (utilitarian and hedonic value), and social influence (social norms and number of peers) to examine factors affecting user intention toward mobile social networking sites (SNSs).

The proposed model was empirically evaluated using survey data collected from 318 users on their perceptions of mobile SNSs. A structural equation modeling (SEM) was used to assess the relationships of the research model.

The results revealed that mobile convenience, service compatibility, security risk, and cognitive effort have a significant and indirect impact on the user acceptance of mobile SNSs through their respective paths on hedonic value and utility value.

Mobile SNSs practitioners should focus on enhancing users’ mobile value through perceived benefits, lower perceived costs, and simultaneously developing social influence to further boost users’ intention to use for mobile social networking services.

This study contributes to a theoretical understanding of factors that explain users’ intention to use the mobile SNSs.

Accurate market segmentation has been the basis for successful customization of products and services. To date, however, the marketing management literature has focused mainly on the exploration of segmentation variables, but lagged behind in the development of practical means for segmentation mechanisms using contemporary information technology. Motivated by this shortcoming, the current study attempts to devise an effective method that allows for systematic collection and analysis of online customers’ click stream data to facilitate market segmentation. Cohen’s CAD theory was employed in conjunction with artificial neural network models to provide the analytical foundation of this research. To test the effectiveness of the proposed method, a sizable online field experiment utilizing a disguised 7‐ELEVEN Website was conducted, and 912 useful click streams collected. The results from the subsequent data analysis supported the feasibility of the current work, but also identified the needs for further study.