Do your friends make you smarter?: An analysis of social strategies in online information seeking

Prior research in the social search space has focused on the informational benefits of collaborating with others during web and workplace information seeking. However, social interactions, especially during complex tasks, can have cognitive benefits as well. Our goal in this paper is to document the methods and outcomes of using social resources to help with exploratory search tasks. We used a talk-aloud protocol and video capture to explore the actions of eight subjects as they completed two “Google-hard” search tasks. Task questions were alternated between a Social and Non-Social Condition. The Social Condition restricted participants to use only social resources—search engines were not allowed. The Non-Social Condition permitted normal web-based information sources, but restricted the use of social tools.     

The reflection of offline activities on users’ online social behavior: An observational study

The ever increasing presence of online social networks in users’ daily lives has led to the interplay between users’ online and offline activities. There have already been several works that have studied the impact of users’ online activities on their offline behavior, e.g., the impact of interaction with friends on an exercise social network on the number of daily steps. In this paper, we consider the inverse to what has already been studied and report on our extensive study that explores the potential causal effects of users’ offline activities on their online social behavior. The objective of our work is to understand whether the activities that users are involved with in their real daily life, which place them within or away from social situations, have any direct causal impact on their behavior in online social networks. Our work is motivated by the theory of normative social influence, which argues that individuals may show behaviors or express opinions that conform to those of the community for the sake of being accepted or from fear of rejection or isolation. We have collected data from two online social networks, namely Twitter and Foursquare, and systematically aligned user content on both social networks. On this basis, we have performed a natural experiment that took the form of an interrupted time series with a comparison group design to study whether users’ socially situated offline activities exhibited through their Foursquare check-ins impact their online behavior captured through the content they share on Twitter. Our main findings can be summarised as follows (1) a change in users’ offline behavior that affects the level of users’ exposure to social situations, e.g., starting to go to the gym or discontinuing frequenting bars, can have a causal impact on users’ online topical interests and sentiment; and (2) the causal relations between users’ socially situated offline activities and their online social behavior can be used to build effective predictive models of users’ online topical interests and sentiments.     

Promoting users’ intention to share online health articles on social media: The role of confirmation bias

Nowadays, it is a common practice for healthcare professionals to spread medical knowledge by posting health articles on social media. However, promoting users’ intention to share such articles is challenging because the extent of sharing intention varies in their eHealth literacy (high or low) and the content valence of the article that they are exposed to (positive or negative). This study investigates boundary conditions under which eHealth literacy and content valence help to increase users’ intention to share by introducing a moderating role of confirmation bias—a tendency to prefer information that conforms to their initial beliefs. A 2 (eHealth literacy: high vs. low) × 2 (content valence: positive vs. negative) between-subjects experiment was conducted in a sample of 80 participants. Levels of confirmation bias ranging from extreme negative bias to extreme positive bias among the participants were assessed during the experiment. Results suggested that: (1) users with a high level of eHealth literacy were more likely to share positive health articles when they had extreme confirmation bias; (2) users with a high level of eHealth literacy were more likely to share negative health articles when they had moderate confirmation bias or no confirmation bias; (3) users with a low level of eHealth literacy were more likely to share health articles regardless of positive or negative content valence when they had moderate positive confirmation bias. This study sheds new light on the role of confirmation bias in users’ health information sharing. Also, it offers implications for health information providers who want to increase the visibility of their online health articles: they need to consider readers’ eHealth literacy and confirmation bias when deciding the content valence of the articles.     

The interaction effects of online reviews and free samples on consumers’ downloads: An empirical analysis

Consumers’ software purchase decisions are influenced both by online reviews and by their experiences with free samples provided by firms. This paper empirically investigates the differential effects of online reviews (user and editor ratings) on consumers’ sample downloading behavior, using a dataset drawn from a large software free sampling website CNET.com. Our findings extend the previous research by suggesting that information disclosure levels of free samples (indicated by licenses) moderates the impacts of online reviews on consumers’ sample downloads. For samples that disclose a great level of information, higher user ratings can increase downloads; otherwise, higher user ratings fail to increase downloads. When both user and editor ratings are available to consumers, only user ratings can increase sample downloads. The findings can be explained by consumers’ two-stage information process whereby consumers first refer to online reviews and then determine whether to sample software. This study provides practical implications on the design of information disclosure channel and offers suggestions for firms regarding how to select and apply sample licenses.     

Smart cities: Advances in research—An information systems perspective

Smart cities employ information and communication technologies to improve: the quality of life for its citizens, the local economy, transport, traffic management, environment, and interaction with government. Due to the relevance of smart cities (also referred using other related terms such as Digital City, Information City, Intelligent City, Knowledge-based City, Ubiquitous City, Wired City) to various stakeholders and the benefits and challenges associated with its implementation, the concept of smart cities has attracted significant attention from researchers within multiple fields, including information systems. This study provides a valuable synthesis of the relevant literature by analysing and discussing the key findings from existing research on issues related to smart cities from an Information Systems perspective. The research analysed and discussed in this study focuses on number of aspects of smart cities: smart mobility, smart living, smart environment, smart citizens, smart government, and smart architecture as well as related technologies and concepts. The discussion also focusses on the alignment of smart cities with the UN sustainable development goals. This comprehensive review offers critical insight to the key underlying research themes within smart cities, highlighting the limitations of current developments and potential future directions.     

Customers’ purchase decision-making process in social commerce: A social learning perspective

The proliferation of social commerce has changed customers’ purchase decision-making process. However, few studies have investigated the roles of social commerce factors on customers’ purchase decision-making. Based on the social learning theory, we develop a research model to examine how customers’ learning behavior along three main social commerce components (SCCs) affects customers’ attitude in both cognitive and affective dimensions and how such attitude determines customers’ purchase intention. The results from a survey of 243 actual users of social commerce websites suggest that cognitive and affective appraisals are the main predictors of purchase intention, with cognitive appraisal having a higher predictive power than affective appraisal. In addition, learning from forums and communities and learning from ratings and reviews have significant influences on both cognitive and affective appraisals, while learning from forums and communities plays a more important role in formulating affective appraisal and learning from ratings and reviews plays a more important role in determining cognitive appraisal. Contrary to our expectation, learning from social recommendations has no significant influence on either cognitive or affective appraisal. In summary, these findings provide a comprehensive understanding about customers’ purchase decision-making process and extend the application scope of social learning theory. The findings also provide social commerce managers guidance in designing more effective websites and allocating resources and efforts reasonably on different SCCs.     

The impact of consumers’ perceptions regarding the ethics of online retailers and promotional strategy on their repurchase intention

Cause-related marketing (CRM) has become increasingly popular and widely adopted by large companies. However, not much attention has been paid to the effect of CRM on small or unknown online retailers. As ethical concerns about the Internet continue to rise, consumers' perceptions regarding the ethics of online retailers (CPEOR) become important when making a purchase decision. This research uses the self-signaling theory to examine how online retailers’ information management and promotional strategy (CRM vs. Price Discount) may emit signals and impact on the consumers’ repurchase intention. It was assumed that a high CPEOR would work better with a CRM-based strategy, which is fundamentally aligning in ethics. However, the experimental results surprisingly revealed that when CPEOR was high, the consumers’ repurchase intention increased in the case of a Price Discount-based promotion when compared to a CRM-based promotion; the effect was the opposite when consumers’ CPEOR was low. ANCOVA was used to analyze the data while setting certain variables as covariates. This research is a meaningful contribution to the literature and serves as an important reference for e-commerce practitioners to understand how they can wisely manage the information on the online storefront to signal their consumers and create an incremental value for the business.     

Understanding consumers’ reactance of online personalized advertising: A new scheme of rational choice from a perspective of negative effects

Consumer reactance appears to be a major inhibiting result in the personalization paradox of online personalized advertising. The objective of this study is to uncover consumer reactance of online personalized advertising. We identify the rational choice factors rooted in the rational choice theory from a negative-effect perspective and examine their impacts on consumer reactance with consideration of affective factors. Our results confirm that three rational choice factors from a negative-effect perspective have significant impacts on consumer reactance, and affective factors such as ownership and vulnerability are dominant determinants of these rational choice factors. The effects of these affective factors on consumer reactance can be mediated by individual rational choice factors. The findings provide a new perspective on the paradox phenomenon and offer online personalized advertising providers new approaches to improving their performance.     

Evaluating the social value of online health information for third-party patients: Is uncertainty always bad?

Online health interactions (OHIs) can benefit patients, physicians, and society. However, little research has been conducted that studies the social value of OHIs for third-party patients who view previous OHIs concerning similar health issues to theirs. Drawing on the literature on social support and information uncertainty, this study established a theoretical model to explore the roles of treatment information, prevention information, and emotional support in determining information usefulness perceived by third-party patients, and whether such relationships are contingent on information uncertainty. The model was tested using “health questions and answers” textual data from 1,848 OHIs. The results indicate that prevention information and emotional support significantly improve information usefulness perceived by third-party patients. When the level of information uncertainty regarding physicians’ replies is high, the effect of treatment information is strengthened and the effect of emotional support is weakened, indicating both the bright and dark side of information uncertainty. This study has implications for practitioners and contributes to the literature on online health information, social support, information science, and information uncertainty.     

Users’ ability to perceive misinformation: An information quality assessment approach

Digital information exchange enables quick creation and sharing of information and thus changes existing habits. Social media is becoming the main source of news for end-users replacing traditional media. This also enables the proliferation of fake news, which misinforms readers and is used to serve the interests of the creators. As a result, automated fake news detection systems are attracting attention. However, automatic fake news detection presents a major challenge; content evaluation is increasingly becoming the responsibility of the end-user. Thus, in the present study we used information quality (IQ) as an instrument to investigate how users can detect fake news. Specifically, we examined how users perceive fake news in the form of shorter paragraphs on individual IQ dimensions. We also investigated which user characteristics might affect fake news detection. We performed an empirical study with 1123 users, who evaluated randomly generated stories with statements of various level of correctness by individual IQ dimensions. The results reveal that IQ can be used as a tool for fake news detection. Our findings show that (1) domain knowledge has a positive impact on fake news detection; (2) education in combination with domain knowledge improves fake news detection; and (3) personality trait conscientiousness contributes significantly to fake news detection in all dimensions.     

Sequential analysis and clustering to investigate users’ online shopping behaviors based on need-states

With the fast growth of e-commerce and the emerging new retail trend—online and offline integration—it is important to recognize the target market and satisfy customers with different needs by analyzing their online search behaviors. Accordingly, we propose sequential search pattern analysis and clustering to analyze consumers’ search behavior throughout the entire shopping process from the perspective of consumer need-states. We seek to understand how recommendation functions (RFs) or popular non-RF web features help consumers to shop online from a need-state perspective. We adopt maximal repeat patterns (MRPs) and lag sequential analysis (LSA) to analyze the sequence of search paths and identify significant repeated search patterns. Furthermore, to investigate the behaviors of customers with different types of need-states, we analyze webpages related to RFs and non-RF features using clustering to connect the evaluation results of search patterns with page traversal behaviors. This yields four groups of consumers who browse for information, adopt recommendations, consult reviews, and conduct searches with different levels of goal-oriented or exploratory-based need-states. The results show that consumers with strong goal-oriented need-states have the simplest search paths compared to other groups, whereas exploratory-based consumers have the most complicated search paths. Furthermore, consumers with higher need-states tend to search directly, consult reviews carefully, and have stored sequential search patterns, whereas consumers with exploratory-based need-states tend to explore the categories of products and adopt product classification hierarchy as a pivot to explore web features and then adopt specific types of RFs. Interestingly, consumers in the review-consulting group all belong to the goal-oriented need-states type with strong knowledge-building behaviors compared to others. The results reveal that each group employs its own particular web features to facilitate the shopping process and we can identify consumer types based on shopping behavior in the early stage of shopping. This suggests that e-store sellers can refine web features and deploy marketing strategies tailored to the search patterns for different levels of need-states.     

How online gamers’ participation fosters their team commitment: Perspective of social identity theory

Online games are highly popular applications. While online gamers actively participate in gaming teams, no study has yet explored whether gamers have sufficient teamwork knowledge and have accumulated sufficient team participation experience. These likely strengthen team commitment, but we do not know, indicating a research gap. Research filling this gap could shed light on useful means for enhancing gamers’ team commitment. Grounded in social identity theory, we theorize the mechanism that links gamers’ overall gaming team participation experience and overall gaming teamwork knowledge to their team commitment. We collect two-wave data from 344 online gamers that have played massively multiplayer online role-playing games (MMORPGs) and use structural equation modelling for data analysis. We find that overall team participation experience is positively related to gaming team identification, while overall teamwork knowledge is positively related to compliance with gaming team norms. Both team identification and norm compliance are positively related to gaming team commitment. This study is the first to clarify the mechanism underlying the impacts of overall gaming team participation experience and overall gaming teamwork knowledge on gamers’ team commitment. Our findings provide the practical insight that game designers should incorporate game features that require or reward gamers’ participation in gaming teams or enhance gaming teamwork knowledge, thus strengthening gamers’ team commitment.     

For it is in giving that we receive: Investigating gamers’ gifting behaviour in online games

Social interactions in online games have led gamers to form lasting social relationships. This has caused a tremendous increase in gift-giving on online gaming platforms. This study aims to identify factors that impact gamers’ gifting behaviour in online games. A conceptual framework is developed by incorporating the Social Identity Theory, Social Exchange Theory, and Theory of Planned Behaviour. This study adopts a quantitative research methodology that collects data from 404 Clash of Clans gamers. The findings show that gaming team identification and compliance with gaming team norms are positively associated with gaming team commitment. Gifting reciprocity, pleasure, relationship support, and convenience were positively associated with the perceived worth of gift-giving while perceived cost was negatively associated. Gaming team commitment, attitude, subjective norms, perceived behavioural control, and perceived worth were positively associated with online game gifting intention. It was also found that gifting behaviour is an immediate consequence of gifting intention in online games. This paper contributes to the under-researched literature on gifting behaviour in online games. It provides novel insights into gamers’ gifting behaviour that can allow game developers to enhance revenue by increasing the sale of virtual in-game items.     

Exploring consumers’ impulse buying behavior on social commerce platform: The role of parasocial interaction

Social commerce, a recent branch of e-commerce, has made the experience of consumers on social commerce platform (SCP) different from other contexts, as the consumers have social interactions with each other. Growing evidence also shows that consumers on these platforms are prone to impulse buying behavior owing to the social interactions. However, existing research on online impulse buying was limited when illustrating the behavior of consumers on SCPs as social relationship constructs were not included. New theoretical developments are needed in regard to fill the research gap. In this research, parasocial interaction (PSI) theory is introduced in this research to examine the influence of social relationship factors on the formation of impulse buying behavior. An empirical research has been conducted on Mogujie (www.mogujie.com), one of the most popular image-sharing SCPs in China. Results indicate that PSI exerts an impact on impulse buying tendency, the social-relevant features of the SCP determine PSI, and perceived usefulness and PSI both significantly affect perceived enjoyment. In addition, consumers’ perceived enjoyment and impulse buying tendencies significantly affect their urge to buy impulsively. The implications, limitations, and discussions are provided.     

Do online information sources really make tourists visit more diverse places?: Based on the social networking analysis

This study investigated whether or not online tourism information prompted the international tourists who visited South Korea in 2015 to visit a wide range of tourism destinations, in particular those in non-capital regions, by comparing the tourist site networks of online and offline information seeker groups. It was hypothesized that the data would confirm how well the smart tourism ecosystem has been built and contributed to South Korea's tourism industry by showing that online tourism information leads tourists to visit more geographically diverse sites. Using network analysis with big data, the results showed that the offline information seeker group had geographically wider movement patterns than the online information seekers. In other words, the offline information seeker group showed movements in various directions and frequent visits to non-capital regions as opposed to the online information seeker group, which was highly dependent on the capital region. Thus, this study suggested that current online tourism information about South Korea did not provide appropriate tourism information to fulfill the needs of international tourists. This, consequently, might interrupt the implementation of smart tourism ecosystem efforts. Based on these results, this study had highlighted the importance of delivering both regionally and contextually diverse tourism information via online information sources.     

Exploring the effects of extrinsic motivation on consumer behaviors in social commerce: Revealing consumers’ perceptions of social commerce benefits

The rise of social media has created a new e-commerce platform called social commerce. In social commerce, e-vendors such as Amazon may integrate social media with their traditional e-commerce sites. Based on self-determination theory and social commerce literature, we develop a model illustrating how social commerce features may impact consumer behaviors and facilitate social commerce benefits from the extrinsic motivation perspective. We identify four types of extrinsic motivation including external motivation, introjected motivation, identified motivation, and integrated motivation; and we examine their influences on consumers’ intention to contribute social commerce information, which in turn leads to their subsequent behaviors and increases the perceived benefit of social commerce. We also consider the moderating effect of gender in the formulation of social commerce benefits. Based on longitudinal survey data from Amazon consumers, we find that 1) consumers’ external and identified motivation has a positive impact on intention to contribute social commerce information; 2) consumers’ intention is positively associated with their future behaviors, which in turn facilitate their perceptions of social commerce benefits; and 3) gender moderates the impact of behavior on social commerce benefits.     

The influence of information depth and information breadth on brokers’ idea newness in online maker communities

Social networks provide individuals with diverse or redundant information depending on the network structure. Both types of information offer advantages for generating new ideas. At the same time, network structure and network content are independent. As a result, two individuals with the same network position can access diverse or redundant content from their social peers. In this study, we investigate the function of social networks in innovative endeavors given individuals’ different kinds of information accessing behavior. In accordance with previous research, we argue that individuals with a broker status access more diverse information through non-redundant network structures and develop, on average, more novel ideas. We further propose that redundancy in content complements brokers’ structural non-redundancy by providing familiar knowledge elements and therefore interpretability, while non-redundancy in both content and structure leads to information overload. Thus, we hypothesize that brokers accessing more information depth, and independently, less information breadth generate newer ideas. To test our hypotheses, we collected data from a popular online maker community containing 18,146 ideas, 19,919 profiles, and 52,663 comments. We used topic modeling (Latent Dirichlet Allocation) to extract hidden knowledge elements and social network analysis to identify brokers. In line with our hypotheses, we find that information depth (breadth) strengthens (weakens) a favorable broker position. These findings have implications for the literature on idea generation in social networks and household sector innovation.     

Effects of cross-platform multichannel shopping on online customer–firm relationship length,depth, and breadth: An empirical investigation

The rise of online retail platforms has facilitated customers to purchase from the same firm across multiple platform channels. It is challenging for firms to maintain online customer–firm relationships as customers are easily attracted by competitors on different platforms. While previous studies focus on offline-online multichannel shopping, how cross-platform multichannel shopping affects customer–firm relationships is largely neglected. Utilizing longitudinal customer data from an online seller with channels on two major Chinese retail platforms, we found that cross-platform multichannel shopping lengthens, deepens, and broadens online customer–firm relationships. Cross-platform multichannel shopping has a stronger positive effect on the length and depth of online customer–firm relationships as the duration before multichannel shopping increases. After cross-platform multichannel shopping, customers who revert to the original channel weaken their relationship with the firm compared to those who keep using both channels or migrate to another channel. Our empirical results contribute to the literature by examining novel multichannel shopping behavior and its dynamic process. The findings also provide insights into customer relationship management by targeting cross-platform multichannel shopping customers.     

Assessing the effects of consumers’ product evaluations and trust on repurchase intention in e-commerce environments

This study enhances the existing literature on online trust by integrating the consumers’ product evaluations model and technology adoption model in e-commerce environments. In this study, we investigate how perceived value influences the perceptions of online trust among online buyers and their willingness to repurchase from the same website. This study proposes a research model that compares the relative importance of perceived value and online trust to perceived usefulness in influencing consumers’ repurchase intention. The proposed model is tested using data collected from online consumers of e-commerce. The findings show that although trust and e-commerce adoption components are critical in influencing repurchase intention, product evaluation factors are also important in determining repurchase intention. Perceived quality is influenced by the perceptions of competitive price and website reputation, which in turn influences perceived value; and perceived value, website reputation, and perceived risk influence online trust, which in turn influence repurchase intention. The findings also indicate that the effect of perceived usefulness on repurchase intention is not significant whereas perceived value and online trust are the major determinants of repurchase intention. Major theoretical contributions and practical implications are discussed.     

Patients’ emotional bonding with MHealth apps: An attachment perspective on patients’ use of MHealth applications

While mobile health applications (mHealth apps) have attracted considerable practical and research attention in recent years, very few information systems (IS) studies have ever investigated patients’ use of mHealth apps. We draw insights from attachment theory, which states that when individuals experience fatigue or stress, they tend to develop affectionate bonds with objects that attend to their needs. Our study provides an evolutionary view on how patients’ attaining satisfaction of their basic needs through using mHealth apps leads to their emotional bonding with the mHealth apps and consequently contributes to their overall well-being. We surveyed 113 patients who used an mHealth app for hospitalization and discharge advice and education. We found that (a) patients’ emotional bonding with the apps mediated the impacts of autonomy and relatedness needs satisfaction on their well-being in terms of enhanced IT-enabled self-esteem and reduced post-surgery physical symptoms; and (b) autonomy need satisfaction positively and negatively moderated the impacts of competence and relatedness needs satisfaction, respectively, on patients’ emotional bonding with mHealth apps. Our findings not only contribute to the technology use literature and extend the interpretation of attachment theory in the IS field, but also yield practical insights for managers and developers who work in the mHealth industry.