Given the importance of online reviews, as shown by extensive research, we address the problem of... more Given the importance of online reviews, as shown by extensive research, we address the problem of predicting the helpfulness of online product reviews by developing a comprehensive research model guided by the theoretical foundations of signaling and social influence theories. We use review order and time interval to incorporate the moderating effects of the time-related variable on the reviewer's valuation of products and the related details they provide. Applying deep learning techniques in text processing and model building on a dataset of 239297 reviews, the empirical findings represent a strong support of the proposed approach and show its superior performance in predicting review helpfulness compared to current approaches. This research contributes to theory by analyzing online reviews from the points of two wellknown information processing theories and contributes to practice by developing a model to sort the newly posted reviews.
This chapter describes how the Center for Army Lessons Learned (CALL) has developed a unique, ins... more This chapter describes how the Center for Army Lessons Learned (CALL) has developed a unique, institutionalized knowledge reuse process. The paper highlights several issues related to knowledge reuse, including the collection, distillation and dissemination of knowledge, the role of subject experts in the knowledge reuse process and how technology facilitates knowledge reuse.
Despite the rapid proliferation of SNGs, the various factors of enjoyment and their influence on ... more Despite the rapid proliferation of SNGs, the various factors of enjoyment and their influence on SNGs' popularity attract little research attention. Hence, the objective of this paper is two-fold. First, it attempts to formulate a theoretical framework that specifies the factors affecting enjoyment in SNGs. Second, it seeks to investigate the degree to which different enjoyment factors in the theoretical framework affect SNGs' popularity. On the basis of the literature, five enjoyment factors in SNGs, namely, emotion, control, immersion, social interaction and usability have been identified. The dataset comprised 100 randomly selected SNGs from a recommended list in Facebook. Enjoyment factors for each SNG were evaluated by a team of three coders while the popularity of each SNG was measured in terms of the number of Monthly Active Users reported in Facebook as of April 2012. The results from the regression analysis indicate that the five enjoyment factors collectively account for 54.80 % of variability in the popularity of SNGs. Furthermore, emotion, control and social interaction were significant antecedents of popularity. The paper concludes with a few limitations and offers some directions for future research.
Purpose: This paper explores the use of community question answering sites (CQAs) on the topic of... more Purpose: This paper explores the use of community question answering sites (CQAs) on the topic of terrorism. Three research questions are investigated: What are the dominant themes reflected in terrorism-related questions? How do answer characteristics vary with question themes? How does users' anonymity relate to question themes and answer characteristics? Design/Methodology/Approach: Data include 300 questions that attracted 2,194 answers on the CQA Yahoo! Answers. Content analysis was employed. Findings: The questions reflected the community's information needs ranging from the life of extremists to counter-terrorism policies. Answers were laden with negative emotions, reflecting hate speech and Islamophobia, and making claims that were rarely verifiable. Users who posted sensitive content generally remained anonymous. Practical Implications: This paper raises awareness of how CQAs are used to exchange information about sensitive topics such as terrorism. It calls for governments and law enforcement agencies to collaborate with major social media companies to develop a process for cross-platform blacklisting of users and content, as well as identifying those who are vulnerable. Originality/Value: Theoretically, the paper contributes to the academic discourse on terrorism in CQAs by exploring the type of questions asked, and the sort of answers they attract. Methodologically, it enriches the literature around terrorism and social media that has hitherto mostly drawn data from Facebook and Twitter.
Purpose: As an increasing number of users have acquired information across the web and mobile pla... more Purpose: As an increasing number of users have acquired information across the web and mobile platforms for social question and answering (Q&A), it is of interest to explore whether there exist differences in social Q&A usage between the two platforms. This study seeks to compare web and mobile platforms of a social Q&A service from the user's perspective in terms of three dimensions, namely, demographics, individualbased constructs, and information-based constructs. Design/methodology/approach: Zhihu.com is one of the most popular social Q&A sites in China, so we used online questionnaires to investigate registered Zhihu.com users' perceptions of these three dimensions. From January to March 2016, we obtained 278 valid responses in total through snowball and convenient sampling. Collected data 2 is analysed through descriptive statistics and inferential statistics. The results indicate that there exist significant differences between web users and mobile users on Zhihu.com in terms of gender, affinity, and information seeking. More specifically, compared to the male users, more female users rely on the mobile platform to access the information service; mobile users perceive a higher affinity with Zhihu.com than with web users; and mobile users perceive a higher informationseeking intention that web users do. Originality/value: Regarding the theoretical aspect, this study proposes a conceptual framework for comparison between the web and mobile platforms of social Q&A from the user's perspective. Regarding the practical aspect, the comparative results of this study could give social Q&A service providers useful information about users' differences between web and mobile platforms of social Q&A services.
This paper examines the effects of tour guides' online profile on Internet users looking to book ... more This paper examines the effects of tour guides' online profile on Internet users looking to book a vacation in terms of four aspects: perceived usefulness of the profile, hedonic attitude toward the tour guide, utilitarian attitude toward the tour guide, and purchase intention for the package tour. An experiment was conducted with 285 participants. A happy facial expression on the profile picture and a detailed profile description generally drew favorable responses. Moreover, the participants preferred male to female tour guides, thereby highlighting how the tourism industry is plagued by gender stereotype. Besides having implications for tour guides and travel agencies, the paper calls for a globally agreed policy on gender equality in tourism.
Informed by the related theories of agenda-setting and framing, the purpose of this paper is to i... more Informed by the related theories of agenda-setting and framing, the purpose of this paper is to identify the antecedents of posts' popularity on Facebook Fan Pages. Posts' popularity is conceptualized as the volumes of Likes, Comments and Shares attracted by the entries. Building on prior studies, the paper proposes a conceptual framework that identifies four categories of antecedents-presentation, brand awareness, engagement and temporal-that could be related to posts' popularity on Facebook Fan Pages. The framework was validated by drawing 10,000 posts from 50 Facebook Fan Pages. The posts were measured in terms of the dimensions of the four categories. Hierarchical regression was used for analysis with volumes of Likes, Comments and Shares as the three separate dependent variables. Several dimensions from all the categories of antecedents were found to have a significant bearing on Likes, Comments and Shares. In particular, the presentation category emerged as being the most important in promoting posts' popularity. The findings have implications for social media brand managers.
Even though knowledge repositories typically seek to capture the knowledge employees acquire from... more Even though knowledge repositories typically seek to capture the knowledge employees acquire from working on their jobs, little consideration has been given to the influence of job characteristics. This study proposes a job knowledge contribution model that details the influence of different job characteristics on the duration, frequency, and diversity of knowledge contribution through their influences on different knowledge characteristics. The model was assessed with a survey of 255 employees working in knowledge-intensive industries. Identifying the knowledge mechanisms explaining the impact of job characteristics has implications for the theoretical development of knowledge contribution and indicates new directions for research.
This paper investigates how users' perception of online hotel reviews is related to trust across ... more This paper investigates how users' perception of online hotel reviews is related to trust across review polarity and hotel category. Users' perception of both titles and descriptions of reviews was examined. Data came from a 2 (review polarity: positive and negative) x 2 (hotel category: luxury and budget) between-participants experiment. Analysis was done using the partial least squares structural equation modeling approach. Attractiveness of titles and credibility of descriptions were positively related to trust. Moreover, the relation between users' perception of reviews and their decision to trust differed significantly across review polarity and hotel category. Implications of the findings are highlighted.
Limited. It incorporates referee's comments but changes resulting from the publishing process, su... more Limited. It incorporates referee's comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document.
Journal of Digital Information Management, Feb 1, 2012
We introduce Indagator (Latin for explorer), an application which incorporates multiplayer, perva... more We introduce Indagator (Latin for explorer), an application which incorporates multiplayer, pervasive gaming elements into mobile content sharing. Indagator allows users to annotate real world locations with multimedia content, and concurrently, provides opportunities for play through engaging interactive game elements. A study of Indagator was conducted to obtain usability feedback, and to examine the impact of the usability of its content sharing and gaming features on participants' intention to use it. Participants used the software to complete a set of tasks and subsequently completed a questionnaire and attended an interview, both of which were to elicit their opinions on the usability of the system. Participants felt that the features in Indagator were able to support the objectives of content sharing and gaming, and that idea of gaming could be a motivator for content sharing. In terms of intention to use, usability of Indagator's gaming features emerged as significant predictors.
Scholars increasingly seek to investigate differences between authentic and manipulative online r... more Scholars increasingly seek to investigate differences between authentic and manipulative online reviews. A common line of research argues that authentic and manipulative reviews are distinguishable based on three textual characteristics, namely, comprehensibility, informativeness and writing style. Although recent studies have analyzed differences between authentic and manipulative reviews in terms of these textual characteristics, they often lack in terms of methodological rigor. For one, datasets used for analysis are not always representative. Moreover, only few machine learning algorithms are used to classify authentic and manipulative reviews. Recognizing the value of methodological rigor, this paper extends prior studies by examining textual differences between authentic and manipulative reviews using a more representative dataset. Moreover, authentic and manipulative reviews were classified using a voting among multiple classifiers that had been used in recent literature. The implications of the results are discussed.
It incorporates referee's comments but changes resulting from the publishing process, such as cop... more It incorporates referee's comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The
Zenodo (CERN European Organization for Nuclear Research), Mar 13, 2023
This paper proposes and tests a conceptual model that identifies the antecedents of trust in AI, ... more This paper proposes and tests a conceptual model that identifies the antecedents of trust in AI, which could in turn lead to users' willingness to accept AI recommendation systems. An online survey was conducted in the context of stock market investment. Responses came from 313 participants with prior investment experiences. Data were analyzed using partial least squares structural equation modeling. Results indicate that attitude towards AI and perceived AI accuracy were positively related to users' trust in AI. Users' AI anxiety was negatively related to trust in AI. Furthermore, users' trust in AI was positively related to their willingness to accept AI recommendation systems. The paper extends previous works by explicating the role of users' trust in AI and suggests that the uptake of AI systems can be promoted by fostering favorable attitudes, greater perceived AI accuracy, and lowering AI anxiety.
Extending the literature that has, thus far, mostly focused on the detection of fake online revie... more Extending the literature that has, thus far, mostly focused on the detection of fake online reviews, this paper explores a more fundamental yet hitherto-unanswered question: How do people go about creating fake reviews in the first place? To delve deeper, it further investigates the role of individuals' cognitive style-the way one gathers, processes, structures, and applies information. While cognitive style was measured using a quantitative scale, a qualitative approach was adopted to explore fake review production strategies. Fifty participants imagined that they had been hired by a marketing agency to write fake reviews, completed the writing task, shared their experiences, and then filled out a cognitive style questionnaire. Writing fake reviews involved four stages: gathering information, assimilating information, drafting the fake review, and finalizing the fake review production. Through a cognitive lens, the paper uncovers three fake review production strategies and explains why someone would adopt a certain strategy.
2020 6th International Conference on Information Management (ICIM)
The purpose of this paper is to review and synthesize scholarly articles on influencer-generated ... more The purpose of this paper is to review and synthesize scholarly articles on influencer-generated content. Specifically, it attempts to identify: (1) theoretical foundations that have been used, (2) research methods that have been employed, and (3) research foci and future directions. Based on the in-depth content analysis of 167 related articles, this paper finds that 5 commonly used underpinning theories, namely, selfpresentation theory, online information processing theory, knowledge persuasion theory, signaling theory, and warranting theory. Primary and secondary research data from diverse sources, quantitative and qualitative analysis approaches have been employed by the articles. Current research foci include three clusters-identifying social media influencers, investigating influencers' motivations for creating content and assessing the social and economic impacts of influencer-generated content. Correspondingly, three research perspectives-content creator perspective, content generation perspective, and content impacts perspective are adopted to guide the future directions.
Given the importance of online reviews, as shown by extensive research, we address the problem of... more Given the importance of online reviews, as shown by extensive research, we address the problem of predicting the helpfulness of online product reviews by developing a comprehensive research model guided by the theoretical foundations of signaling and social influence theories. We use review order and time interval to incorporate the moderating effects of the time-related variable on the reviewer's valuation of products and the related details they provide. Applying deep learning techniques in text processing and model building on a dataset of 239297 reviews, the empirical findings represent a strong support of the proposed approach and show its superior performance in predicting review helpfulness compared to current approaches. This research contributes to theory by analyzing online reviews from the points of two wellknown information processing theories and contributes to practice by developing a model to sort the newly posted reviews.
This chapter describes how the Center for Army Lessons Learned (CALL) has developed a unique, ins... more This chapter describes how the Center for Army Lessons Learned (CALL) has developed a unique, institutionalized knowledge reuse process. The paper highlights several issues related to knowledge reuse, including the collection, distillation and dissemination of knowledge, the role of subject experts in the knowledge reuse process and how technology facilitates knowledge reuse.
Despite the rapid proliferation of SNGs, the various factors of enjoyment and their influence on ... more Despite the rapid proliferation of SNGs, the various factors of enjoyment and their influence on SNGs' popularity attract little research attention. Hence, the objective of this paper is two-fold. First, it attempts to formulate a theoretical framework that specifies the factors affecting enjoyment in SNGs. Second, it seeks to investigate the degree to which different enjoyment factors in the theoretical framework affect SNGs' popularity. On the basis of the literature, five enjoyment factors in SNGs, namely, emotion, control, immersion, social interaction and usability have been identified. The dataset comprised 100 randomly selected SNGs from a recommended list in Facebook. Enjoyment factors for each SNG were evaluated by a team of three coders while the popularity of each SNG was measured in terms of the number of Monthly Active Users reported in Facebook as of April 2012. The results from the regression analysis indicate that the five enjoyment factors collectively account for 54.80 % of variability in the popularity of SNGs. Furthermore, emotion, control and social interaction were significant antecedents of popularity. The paper concludes with a few limitations and offers some directions for future research.
Purpose: This paper explores the use of community question answering sites (CQAs) on the topic of... more Purpose: This paper explores the use of community question answering sites (CQAs) on the topic of terrorism. Three research questions are investigated: What are the dominant themes reflected in terrorism-related questions? How do answer characteristics vary with question themes? How does users' anonymity relate to question themes and answer characteristics? Design/Methodology/Approach: Data include 300 questions that attracted 2,194 answers on the CQA Yahoo! Answers. Content analysis was employed. Findings: The questions reflected the community's information needs ranging from the life of extremists to counter-terrorism policies. Answers were laden with negative emotions, reflecting hate speech and Islamophobia, and making claims that were rarely verifiable. Users who posted sensitive content generally remained anonymous. Practical Implications: This paper raises awareness of how CQAs are used to exchange information about sensitive topics such as terrorism. It calls for governments and law enforcement agencies to collaborate with major social media companies to develop a process for cross-platform blacklisting of users and content, as well as identifying those who are vulnerable. Originality/Value: Theoretically, the paper contributes to the academic discourse on terrorism in CQAs by exploring the type of questions asked, and the sort of answers they attract. Methodologically, it enriches the literature around terrorism and social media that has hitherto mostly drawn data from Facebook and Twitter.
Purpose: As an increasing number of users have acquired information across the web and mobile pla... more Purpose: As an increasing number of users have acquired information across the web and mobile platforms for social question and answering (Q&A), it is of interest to explore whether there exist differences in social Q&A usage between the two platforms. This study seeks to compare web and mobile platforms of a social Q&A service from the user's perspective in terms of three dimensions, namely, demographics, individualbased constructs, and information-based constructs. Design/methodology/approach: Zhihu.com is one of the most popular social Q&A sites in China, so we used online questionnaires to investigate registered Zhihu.com users' perceptions of these three dimensions. From January to March 2016, we obtained 278 valid responses in total through snowball and convenient sampling. Collected data 2 is analysed through descriptive statistics and inferential statistics. The results indicate that there exist significant differences between web users and mobile users on Zhihu.com in terms of gender, affinity, and information seeking. More specifically, compared to the male users, more female users rely on the mobile platform to access the information service; mobile users perceive a higher affinity with Zhihu.com than with web users; and mobile users perceive a higher informationseeking intention that web users do. Originality/value: Regarding the theoretical aspect, this study proposes a conceptual framework for comparison between the web and mobile platforms of social Q&A from the user's perspective. Regarding the practical aspect, the comparative results of this study could give social Q&A service providers useful information about users' differences between web and mobile platforms of social Q&A services.
This paper examines the effects of tour guides' online profile on Internet users looking to book ... more This paper examines the effects of tour guides' online profile on Internet users looking to book a vacation in terms of four aspects: perceived usefulness of the profile, hedonic attitude toward the tour guide, utilitarian attitude toward the tour guide, and purchase intention for the package tour. An experiment was conducted with 285 participants. A happy facial expression on the profile picture and a detailed profile description generally drew favorable responses. Moreover, the participants preferred male to female tour guides, thereby highlighting how the tourism industry is plagued by gender stereotype. Besides having implications for tour guides and travel agencies, the paper calls for a globally agreed policy on gender equality in tourism.
Informed by the related theories of agenda-setting and framing, the purpose of this paper is to i... more Informed by the related theories of agenda-setting and framing, the purpose of this paper is to identify the antecedents of posts' popularity on Facebook Fan Pages. Posts' popularity is conceptualized as the volumes of Likes, Comments and Shares attracted by the entries. Building on prior studies, the paper proposes a conceptual framework that identifies four categories of antecedents-presentation, brand awareness, engagement and temporal-that could be related to posts' popularity on Facebook Fan Pages. The framework was validated by drawing 10,000 posts from 50 Facebook Fan Pages. The posts were measured in terms of the dimensions of the four categories. Hierarchical regression was used for analysis with volumes of Likes, Comments and Shares as the three separate dependent variables. Several dimensions from all the categories of antecedents were found to have a significant bearing on Likes, Comments and Shares. In particular, the presentation category emerged as being the most important in promoting posts' popularity. The findings have implications for social media brand managers.
Even though knowledge repositories typically seek to capture the knowledge employees acquire from... more Even though knowledge repositories typically seek to capture the knowledge employees acquire from working on their jobs, little consideration has been given to the influence of job characteristics. This study proposes a job knowledge contribution model that details the influence of different job characteristics on the duration, frequency, and diversity of knowledge contribution through their influences on different knowledge characteristics. The model was assessed with a survey of 255 employees working in knowledge-intensive industries. Identifying the knowledge mechanisms explaining the impact of job characteristics has implications for the theoretical development of knowledge contribution and indicates new directions for research.
This paper investigates how users' perception of online hotel reviews is related to trust across ... more This paper investigates how users' perception of online hotel reviews is related to trust across review polarity and hotel category. Users' perception of both titles and descriptions of reviews was examined. Data came from a 2 (review polarity: positive and negative) x 2 (hotel category: luxury and budget) between-participants experiment. Analysis was done using the partial least squares structural equation modeling approach. Attractiveness of titles and credibility of descriptions were positively related to trust. Moreover, the relation between users' perception of reviews and their decision to trust differed significantly across review polarity and hotel category. Implications of the findings are highlighted.
Limited. It incorporates referee's comments but changes resulting from the publishing process, su... more Limited. It incorporates referee's comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document.
Journal of Digital Information Management, Feb 1, 2012
We introduce Indagator (Latin for explorer), an application which incorporates multiplayer, perva... more We introduce Indagator (Latin for explorer), an application which incorporates multiplayer, pervasive gaming elements into mobile content sharing. Indagator allows users to annotate real world locations with multimedia content, and concurrently, provides opportunities for play through engaging interactive game elements. A study of Indagator was conducted to obtain usability feedback, and to examine the impact of the usability of its content sharing and gaming features on participants' intention to use it. Participants used the software to complete a set of tasks and subsequently completed a questionnaire and attended an interview, both of which were to elicit their opinions on the usability of the system. Participants felt that the features in Indagator were able to support the objectives of content sharing and gaming, and that idea of gaming could be a motivator for content sharing. In terms of intention to use, usability of Indagator's gaming features emerged as significant predictors.
Scholars increasingly seek to investigate differences between authentic and manipulative online r... more Scholars increasingly seek to investigate differences between authentic and manipulative online reviews. A common line of research argues that authentic and manipulative reviews are distinguishable based on three textual characteristics, namely, comprehensibility, informativeness and writing style. Although recent studies have analyzed differences between authentic and manipulative reviews in terms of these textual characteristics, they often lack in terms of methodological rigor. For one, datasets used for analysis are not always representative. Moreover, only few machine learning algorithms are used to classify authentic and manipulative reviews. Recognizing the value of methodological rigor, this paper extends prior studies by examining textual differences between authentic and manipulative reviews using a more representative dataset. Moreover, authentic and manipulative reviews were classified using a voting among multiple classifiers that had been used in recent literature. The implications of the results are discussed.
It incorporates referee's comments but changes resulting from the publishing process, such as cop... more It incorporates referee's comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The
Zenodo (CERN European Organization for Nuclear Research), Mar 13, 2023
This paper proposes and tests a conceptual model that identifies the antecedents of trust in AI, ... more This paper proposes and tests a conceptual model that identifies the antecedents of trust in AI, which could in turn lead to users' willingness to accept AI recommendation systems. An online survey was conducted in the context of stock market investment. Responses came from 313 participants with prior investment experiences. Data were analyzed using partial least squares structural equation modeling. Results indicate that attitude towards AI and perceived AI accuracy were positively related to users' trust in AI. Users' AI anxiety was negatively related to trust in AI. Furthermore, users' trust in AI was positively related to their willingness to accept AI recommendation systems. The paper extends previous works by explicating the role of users' trust in AI and suggests that the uptake of AI systems can be promoted by fostering favorable attitudes, greater perceived AI accuracy, and lowering AI anxiety.
Extending the literature that has, thus far, mostly focused on the detection of fake online revie... more Extending the literature that has, thus far, mostly focused on the detection of fake online reviews, this paper explores a more fundamental yet hitherto-unanswered question: How do people go about creating fake reviews in the first place? To delve deeper, it further investigates the role of individuals' cognitive style-the way one gathers, processes, structures, and applies information. While cognitive style was measured using a quantitative scale, a qualitative approach was adopted to explore fake review production strategies. Fifty participants imagined that they had been hired by a marketing agency to write fake reviews, completed the writing task, shared their experiences, and then filled out a cognitive style questionnaire. Writing fake reviews involved four stages: gathering information, assimilating information, drafting the fake review, and finalizing the fake review production. Through a cognitive lens, the paper uncovers three fake review production strategies and explains why someone would adopt a certain strategy.
2020 6th International Conference on Information Management (ICIM)
The purpose of this paper is to review and synthesize scholarly articles on influencer-generated ... more The purpose of this paper is to review and synthesize scholarly articles on influencer-generated content. Specifically, it attempts to identify: (1) theoretical foundations that have been used, (2) research methods that have been employed, and (3) research foci and future directions. Based on the in-depth content analysis of 167 related articles, this paper finds that 5 commonly used underpinning theories, namely, selfpresentation theory, online information processing theory, knowledge persuasion theory, signaling theory, and warranting theory. Primary and secondary research data from diverse sources, quantitative and qualitative analysis approaches have been employed by the articles. Current research foci include three clusters-identifying social media influencers, investigating influencers' motivations for creating content and assessing the social and economic impacts of influencer-generated content. Correspondingly, three research perspectives-content creator perspective, content generation perspective, and content impacts perspective are adopted to guide the future directions.
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Papers by Alton Chua