Search results

The purpose of this paper is to explore the antecedents of self-disclosure intention on mobile social applications. This study integrates privacy calculus model and elaboration likelihood theory to reconcile the rational and heuristic views of privacy decision making.

Using a “random dialing” sampling method, an empirical survey with 913 respondents was conducted. A series of regression models were employed to test the proposed relationships. Robust checks with sub-group analysis were conducted.

Self-disclosure intention develops along a dual route including the central route and the peripheral route. When the central route predominates, social media users form their attitudes toward self-disclosure based on a rational calculus of the privacy concern and perceived rewards. When the peripheral route predominates, users perform a more heuristic evaluation of relevant informational cues (information about privacy harms, the extent of information asymmetry between users and operators) and contextual cues (flow experience, privacy disclosure of friends). Peripheral cues moderate the relationships between central cues and self-disclosure intention.

This paper extends the Elaboration Likelihood Model by investigating the interaction between the central route and peripheral route. The results provide alternative explanations on the renowned “privacy paradox” phenomenon.

The purpose of this paper is to facilitate understanding of how to convert free players to paid consumers in free-to-play games.

Drawing on the consumption value framework and affordance theory, the present study argues that in-game purchase behaviors are determined by multiple consumption values of in-game items. The perceptions of consumption values were influenced by game affordances. The model was tested, using data from an empirical survey with 2,006 free-to-play game players.

Monetary, enjoyment and social values of in-game items positively predict purchase behaviors in free-to-play games. Game fairness and balance of challenges and skills significantly influence perceived enjoyment value.

The findings of this study provide operable implications to facilitate in-game consumption. The model was tested within the context of free-to-play multiplayer online battle arena (MOBA) games; however, caution is advisable when generalizing the findings to other subgenre of games.

This study extended and thus validated the consumption value framework in the context of free-to-play MOBA games. This study explored the antecedents of consumption values from the perspective of game affordance.

The purpose of this paper is to understand the antecedents of peer recommendations (generating positive word-of-mouth and recruiting others) in the context of mobile social games.

Drawing on the needs–supplies fit framework and social identity theory, this paper proposes that game design characteristics (challenge, fairness, innovativeness and ease of use) influence game identification, which further predicts word-of-mouth (WOM) generation and recruitment intention. This paper further suggests fits between gamer orientation (passing time and seeking achievements) and game design lead to enhanced game identification. The model was tested using data from an empirical survey with 767 mobile social gamers.

Game challenge, game fairness, game innovativeness and ease of use are positively associated with game identification, whereas game identification positively predicts WOM generation and recruitment intention. Achievement-seeking use was found to enhance the effects of game challenge and game fairness on game identification, and passing time use was found to strengthen the effects of game innovativeness and ease of use on game identification.

The findings of this study provide operable implications to facilitate peer recommendations in a mobile gaming context. The model was only tested within the context of mobile social games, however, so caution is advised when generalizing the findings to other game subgenres.

This study distinguishes itself from other peer recommendation studies by taking recruitment, a more straightforward and salient form of peer recommendation, into account. This paper enriches theory by investigating the antecedents and consequences of game identification. This study clarifies the underlying mechanism of how game design influences peer recommendations and examines the interactions between game design and gamer orientation.

This study aims to use the new product development (NPD) perspective to understand why traditional leading telecom equipment companies, such as Alcatel-Lucent (ALu), have stagnated but the newcomer Huawei has achieved steady growth.

This paper takes the form of a comparative case study.

Three significant differences in NPD process between the companies were discovered: first, although both companies claim that they are market-oriented, Huawei’s NPD projects are customer-driven, and ALu projects are joint considerations of customer demand and technology leadership; second, Huawei uses a design-to-value strategy, and ALu applies a design-for-quality-premium strategy; third, resources are allocated and shared at the corporate level in Huawei and at the business division level in ALu.

This study offers several implications for NPD managers. First, holding a market leader position is more important than being a technology leader. Companies must fundamentally change their mind-sets, restructure NPD models and prioritize and empower marketing and sales departments in the decision-making and management of NPD projects. Second, to maximize customer value, managers must balance cost and quality and avoid overengineering. A quality premium no longer necessarily leads to product competitiveness. Third, to improve the efficiency of NPD performance, companies must build up a mechanism to enable across-boundary resources.

This study highlights a number of key NPD strategy issues. It was conducted in the telecom equipment industry, but NPD managers of other industries will also gain useful insights from the discussion.

This study aims to reveal the topic structure and evolutionary trends of health informatics research in library and information science.

Using publications in Web of Science core collection, this study combines informetrics and content analysis to reveal the topic structure and evolutionary trends of health informatics research in library and information science. The analyses are conducted by Pajek, VOSviewer and Gephi.

The health informatics research in library and information science can be divided into five subcommunities: health information needs and seeking behavior, application of bibliometrics in medicine, health information literacy, health information in social media and electronic health records. Research on health information literacy and health information in social media is the core of research. Most topics had a clear and continuous evolutionary venation. In the future, health information literacy and health information in social media will tend to be the mainstream. There is room for systematic development of research on health information needs and seeking behavior.

To the best of the authors’ knowledge, this is the first study to analyze the topic structure and evolutionary trends of health informatics research based on the perspective of library and information science. This study helps identify the concerns and contributions of library and information science to health informatics research and provides compelling evidence for researchers to understand the current state of research.

The purpose of this paper is to investigate the combined effects of different modalities of long-term knowledge accumulation and short-term knowledge searching on the generation of high-impact ideas. The authors aim at providing useful conclusions for academic scholars.

Two dimensions of the cumulative knowledge structures of researchers are measured: knowledge depth and knowledge breadth. The search strategies employed by researchers are classified as local search and distant search. The authors use researchers’ historical publications to measure cumulative knowledge structures. References contained in these publications serve as an indicator of knowledge searching behaviors and are used to measure search strategies. Highly cited papers with random-but-matched papers from the same journal published in the same year are adopted to test the hypotheses.

The knowledge depth of researchers positively predicts the generation of high-impact ideas. Knowledge breadth has a bell-shaped relationship to the generation of high-impact ideas. Two instances of “strategic fit” between the knowledge structures and search strategies of researchers are identified; namely, knowledge breadth combines most effectively with local search, and knowledge depth combines most effectively with distant search in generating high-impact ideas.

Using article references to measure authors’ knowledge search behaviors may lead to biases. Future research should perform a survey to obtain a comprehensive understanding of the knowledge search behaviors of scholars.

A “T-shaped” knowledge structure in the long run is recommended for maximal generation of high-impact ideas. Researchers who have not adopted this optimal knowledge structure can employ a matched search strategy to leverage their existing knowledge structures.

This paper is among the first to examine the interactive effects between the cumulative knowledge structures and short-term knowledge searching strategies of researchers. The authors have enriched the exploration and exploitation theory by adding the dimension of time into the analysis.

The purpose of this paper is to facilitate understanding of how to mitigate the privacy concerns of users who have experienced privacy invasions.

Drawing on the communication privacy management theory, the authors developed a model suggesting that privacy concerns form through a cognitive process involving threat-coping appraisals, institutional privacy assurances and privacy experiences. The model was tested using data from an empirical survey with 913 randomly selected social media users.

Privacy concerns are jointly determined by perceived privacy risks and privacy self-efficacy. The perceived effectiveness of institutional privacy assurances in terms of established privacy policies and privacy protection technology influences the perceptions of privacy risks and privacy self-efficacy. More specifically, privacy invasion experiences are negatively associated with the perceived effectiveness of institutional privacy assurances.

Privacy concerns are conceptualized as general concerns that reflect an individual’s worry about the possible loss of private information. The specific types of private information were not differentiated.

This paper is among the first to clarify the specific mechanisms through which privacy invasion experiences influence privacy concerns. Privacy concerns have long been viewed as resulting from individual actions. The study contributes to literature by linking privacy concerns with institutional privacy practice.

This paper aims to empirically investigate the role of product positioning in the launch of food and drink products using a large dataset of new product development by food companies in Australia (AU) and New Zealand (NZ). As such, positioning through credence attribute claims can be associated with product launch strategies, including brand-new products, expansion of product ranges, new packaging and relaunch, as a response to market demand.

Text analysis was used to investigate the descriptions of food claims using Structured Query Language, providing a word list of food claims and further filtered and categorised into groups of claims. Multinomial regression models were then employed to analyse the association between product launch strategies and food claims adopted by firms.

The results of this paper provide evidence that positioning via food claims play an important role in product launch strategies in both AU and NZ. Types of food claims matter differently to firms' product launch decisions in the two markets. The “green” and “ethical” attributes are found to be associated with new launches in NZ but not in AU. Claims that are seen as most important for consumers are more likely to be engendered for the more costly launch approach.

This study is amongst the first studies that addresses the role of positioning in product launch strategies of food companies. The results and findings provide insights into the different prevailing credence attributes from the firm side and help policymakers to regulate the delivery of information about credence attributes to consumers.

This paper aims to use artificial neural network (ANN) methods to predict stock price crashes in the Chinese equity market.

Three ANN models are developed and compared with the logistic regression model.

Results from this study conclude that the ANN approaches outperform the traditional logistic regression model, with fewer hidden layers in the ANN model having superior performance compared to the ANNs with multiple hidden layers. Results from the ANN approach also reveal that foreign institutional ownership, financial leverage, weekly average return and market-to-book ratio are the important variables when predicting stock price crashes, consistent with results from the traditional logistic model.

First, the ANN framework has been used in this study to forecast the stock price crashes and compared to the traditional logistic model in the world’s largest emerging market China. Second, the receiver operating characteristics curves and the area under the ROC curve have been used to evaluate the forecasting performance between the ANNs and the traditional approaches, in addition to some traditional performance evaluation methods.

In a contribution to the emerging research examining Chinese cross-border acquisitions (CBAs), the authors observe experiential learning applications for enhancing M&A completions. By emphasizing knowledge transfer, the authors reveal how target-to-target industry similarity and bidder-to-target cultural distance affect learning outcomes.

Using a binary logistic regression model, the authors examine a sample of CBA attempts announced by Chinese companies from January 2002 to December 2012 to identify the variables that affect the completion of CBAs.

The authors find that foreign acquisition experience but not domestic acquisition experience enhances subsequent acquisition attempts, especially when prior and focal target companies share the dominant industrial logic. Learning transfer is negatively affected when target countries are more culturally distant from China, but learning benefits appear to increase under strong bidder-to-target cultural distance.

By investigating learning in the precompletion stage in Chinese outward CBAs, the authors complement research that uses postacquisition performance to assess learning. The authors’ more fine-grained characterization reveals that acquisition experience increases knowledge transfer through experiential learning. Furthermore, the authors show that dominant industrial logic and cultural distance are underexplored contextual conditions, although they interact with foreign and domestic experience to affect the completion of CBAs.