Face-to-face or Facebook: Can social connectedness be derived online?

Previous research has identified the importance of social connectedness in facilitating a number of positive outcomes, however, investigation of connectedness in online contexts is relatively novel. This research aimed to investigate for the first time social connectedness derived from the use of Facebook. Study 1 investigated whether offline social connectedness and Facebook connectedness were separate constructs. Participants were Facebook users (N = 344) who completed measures of offline social connectedness and Facebook social connectedness. Factor analysis (Maximum Likelihood analysis with Oblimin rotation) revealed Facebook connectedness to be distinct from offline social connectedness. Study 2 examined the relationship between Facebook social connectedness and anxiety, depression, and subjective well-being in a second sample of Facebook users (N = 274) in a cross-sectional design. Results suggest that Facebook use may provide the opportunity to develop and maintain social connectedness in the online environment, and that Facebook connectedness is associated with lower depression and anxiety and greater satisfaction with life. Limitations and future directions are considered. It is concluded that Facebook may act as a separate social medium in which to develop and maintain relationships, providing an alternative social outlet associated with a range of positive psychological outcomes.     

Is more always better? Investigating the task-technology fit theory in an online user context

We used Task-Technology Fit (TTF) theory to examine the drivers and consequences of successful task completion by a user in an online context. The theory suggests that the fit between characteristics of the task and those of the website predicts user performance and behavioral intentions. Our hypotheses were tested using the input of two large scale studies performed in twelve industries and involving 13,135 participants. Results, which were replicated in a proximate culture, lend support to the predictions of Task-Technology Fit theory. The site information quality and ease of use were the only technology factors that significantly drove the users to a successful completion of their information tasks, rather than the site's graphical attractiveness, interactivity, security and privacy factors. The findings further suggested that focusing on the enhancement of site characteristics that have low fit with the task is not effective as it resulted in slowing the successful completion of the online task.     

Can online course‐based assessment methods be fair and equitable? Relationships between students' preferences and performance within online and offline assessments

To address concerns raised regarding the use of online course‐based summative assessment methods, a quasi‐experimental design was implemented in which students who completed a summative assessment either online or offline were compared on performance scores when using their self‐reported preferred or non‐preferred modes. Performance scores were found not to differ depending on whether the assessment was completed in the preferred or non‐preferred mode. These findings provide preliminary support for the validity of online assessment methods. Future studies could help determine the extent to which this finding generalizes beyond the assessment procedures and type of sample used here. Suggestions for follow‐up studies are offered, including exploring the validity of more complex computer‐related online assessment tasks and investigating the impact of using preferred and non‐preferred modes upon the quality of the student experience.     

Can local NURBS refinement be achieved by modifying only the user interface?

NURBS patches have a serious restriction: they are constrained to a strict rectangular topology. This means that a request to insert a single new control point will cause a row of control points to appear across the NURBS patch, a global refinement of control. We investigate a method that can hide unwanted control points from the user so that the user’s interaction is with local, rather than global, refinement. Our method requires only straightforward modification of the user interface and the data structures that represent the control mesh, making it simpler than alternatives that use hierarchical or T-constructions. Our results show that our method is effective in many cases but has limitations where inserting a single new control point in certain cases will still cause a cascade of new control points to appear across the NURBS patch.     

Can learning be virtually boosted? An investigation of online social networking impacts

Online social networking has deeply penetrated university campuses, influencing multiple aspects of student life. We investigate the impacts of individual online social networking engagement (e.g., on Facebook) from a pedagogical standpoint. Based on social learning theory, we argue that two socialization processes, social acceptance and acculturation, bridge individual online social networking engagement with three domains of social learning outcomes. Results from a survey accompanied by focus group discussions demonstrate the substantial impacts of university student online social networking engagement on social learning processes and outcomes. Online social networking not only directly influences university students’ learning outcomes, but also helps the students attain social acceptance from others and adapt to university culture, both of which play prominent roles in improving their learning outcomes.     

Can learning be virtually boosted? An investigation of online social networking impacts

Online social networking has deeply penetrated university campuses, influencing multiple aspects of student life. We investigate the impacts of individual online social networking engagement (e.g., on Facebook) from a pedagogical standpoint. Based on social learning theory, we argue that two socialization processes, social acceptance and acculturation, bridge individual online social networking engagement with three domains of social learning outcomes. Results from a survey accompanied by focus group discussions demonstrate the substantial impacts of university student online social networking engagement on social learning processes and outcomes. Online social networking not only directly influences university students’ learning outcomes, but also helps the students attain social acceptance from others and adapt to university culture, both of which play prominent roles in improving their learning outcomes.     

Product type and consumers’ perception of online consumer reviews

Consumers hesitate to buy experience products online because it is hard to get enough information about experience products via the Internet. Online consumer reviews may change that, as they offer consumers indirect experiences about dominant attributes of experience products, transforming them into search products. When consumers are exposed to an online consumer review, it should be noted that there are different kinds of review sources. This study investigates the effects of review source and product type on consumers’ perception of a review. The result of the online experiment suggests that product type can moderate consumers’ perceived credibility of a review from different review sources, and the major findings are: (1) consumers are more influenced by a review for an experience product than for a search product when the review comes from consumer-developed review sites, and (2) a review from an online community is perceived to be the most credible for consumers seeking information about an experience product. The findings provide managerial implications for marketers as to how they can better manage online consumer reviews.     

Do online reviews reflect a product’s true perceived quality? An investigation of online movie reviews across cultures

This paper investigates when the reported average of online ratings matches the perceived average assessment of the population as a whole, including the average assessments of both raters and non-raters. We apply behavioral theory to capture intentions in rating online movie reviews in two dissimilar countries – China and the United States. We argue that consumers’ rating behaviors are affected by cultural influences and that they are influenced in predictable ways. Based on data collected from IMDB.com and Douban.com, we found significant differences across raters from these two different cultures. Additionally, we examined how cultural elements influence rating behavior for a hybrid culture – Singapore. To study whether online consumer reviews are subjected to under-reporting bias, which is, consumers with extreme opinions are more likely to report their opinions than consumers with moderate reviews causing online reviews to be a biased estimator of a product’s true quality, we compare the consumer reviews posted online with those from an experimental study. Our results shows that under-reporting is more prevalent among US online network, thus online reviews are a better movie perceived quality proxy in China and Singapore than in the US.     

Can computers be teammates?

This study investigated the claim that humans will readily form team relationships with computers. Drawing from the group dynamic literature in human-human interactions, a laboratory experiment (n=56) manipulated identity and interdependence to create team affiliation in a human-computer interaction. The data show that subjects who are told they are interdependent with the computer affiliate with the computer as a team. The data also show that the effects of being in a team with a computer are the same as the effects of being in a team with another human: subjects in the interdependence conditions perceived the computer to be more similar to themselves, saw themselves as more cooperative, were more open to influence from the computer, thought the information from the computer was of higher quality, found the information from the computer friendlier, and conformed more to the computer's information. Subjects in the identity conditions showed neither team affiliation nor the effects of team affiliation.     

Do online reviews affect product sales? The role of reviewer characteristics and temporal effects

Online product reviews provided by consumers who previously purchased products have become a major information source for consumers and marketers regarding product quality. This study extends previous research by conducting a more compelling test of the effect of online reviews on sales. In particular, we consider both quantitative and qualitative aspects of online reviews, such as reviewer quality, reviewer exposure, product coverage, and temporal effects. Using transaction cost economics and uncertainty reduction theories, this study adopts a portfolio approach to assess the effectiveness of the online review market. We show that consumers understand the value difference between favorable news and unfavorable news and respond accordingly. Furthermore, when consumers read online reviews, they pay attention not only to review scores but to other contextual information such as a reviewer’s reputation and reviewer exposure. The market responds more favorably to reviews written by reviewers with better reputation and higher exposure. Finally, we demonstrate that the impact of online reviews on sales diminishes over time. This suggests that firms need not provide incentives for customers to write reviews beyond a certain time period after products have been released.

Does source matter? Examining source effects in online product reviews

Drawing on the literature about online source classification, source credibility, and attribution theory, this study examines how the source of a product review influences people’s product judgments. Results from a between-subjects experiment suggest that the perceived source of a message (the visible source) impacts how people evaluate actual reviewer (the original source) and product. Reviews made by regular Internet users (visible sources) lead to greater trust in the actual reviewer (the original source), compared to product reviews from product makers. Results further indicate that visible sources play a crucial role in helping people judge the credibility of online reviews. Particularly, the identity of a visible source is used to consider the intention of original source of the message, which in turn determines message persuasiveness. The authors conclude that evaluating the intentions of online reviewers is a critical antecedent to forming opinions about online reviews and products.     

How do consumers perceive and process online overall vs. individual text-based reviews? Behavioral and eye-tracking evidence

Building on the Heuristic-Systematic model, we use a survey and two eye-tracking experiments to investigate consumers’ perceived usefulness of overall and individual text-based reviews (OTRs vs. ITRs) for search vs. experience products, and the information processing features. Results indicate that OTRs show higher usefulness than ITRs, regardless of product type. ITRs are perceived to be more useful for experience products than for search products. Furthermore, two eye-tracking studies confirm these results from a physiological standpoint and reveal the attentional allocation during information processing. OTRs affect subjects’ processing of ITRs information differently in purchase search and experience products.     

Why would online gamers share their innovation-conducive knowledge in the online game user community? Integrating individual motivations and social capital perspectives

The user community has been an important external source of a firm’s product or service innovation. Users’ innovation-conducive knowledge sharing enables the community to work as a vital source of innovation. But, traditional economic theories of innovation seem to provide few explanations about why such knowledge sharing takes place for free in the user community. Therefore, this study investigates what drives community users to freely share their innovation-conducive knowledge, using the theory of planned behavior. Based on an empirical analysis of the data from 1244 members of a South Korean online game user community, it reveals that intrinsic motivation, shared goals, and social trust are salient factors in promoting users’ innovation-conducive knowledge sharing. Extrinsic motivation and social tie, however, were found to affect such sharing adversely, contingent upon whether a user is an innovator or a non-innovator. The study illustrates how social capital, in addition to individual motivations, forms and influences users’ innovation-conducive knowledge sharing in the online gaming context.     

Users’ interest grouping from online reviews based on topic frequency and order

Large volume of online review data can reveal consumers’ major interests on domain product, which attracts great research interests from the academic community. Most of the existing works focus on the problems of review summarization, aspect identification or opinion mining from an item’s point of view such as the quality or popularity of products. Considering the fact that users who generate those review texts draw different attentions to product aspects with respect to their own interests, in this article, we aim to learn K users’ interest groups indicated by their review writings. Such K interest groups’ identification can facilitate better understanding of major and potential consumers’ concerns which are crucial for applications like product improvement on customer-oriented design or diverse marketing strategies. Instead of using a traditional text clustering approach, we treat the groupId/clusterId as a hidden variable and use a permutation-based structural topic model called KMM. Through this model, we infer K interest groups’ distribution by discovering not only the frequency of product aspects (Topic Frequency), but also the occurrence priority of respective aspects (Topic Order). They jointly present an informative summarization on the raw review corpus. Our experiment on several real-world review datasets demonstrates a competitive solution.     

Predicting airline customers’ recommendations using qualitative and quantitative contents of online reviews

Customers generally give ratings and reviews for different services that they get online or offline. These reviews and ratings aspects are effectively helpful to both the company and customers to receive feedback and make the right decisions, respectively. However, the number of reviews and ratings can increase exponentially, bringing a new challenge for the company to manage and track. Under these circumstances, it will also be hard for the customer to make the right decision. In this work, we summarize text reviews and ratings given by passengers for different airlines. The objective of this research is to predict whether the recommendation made by the customer is positive or negative. Two types of features, namely, textual feature and explicit ratings, are extracted from the dataset and other attributes. We found the relationship between such sentiments and feelings expressed in online reviews and predictive consumer recommendation decisions. We have considered quantitative content with qualitative content of online reviews in predicting recommendation decisions, which shows the work’s novelty. Additionally, the obtained results yield an essential contribution to the existing literature in terms of service evaluation, making managerial policies, and predictive consumer recommendations, etc. Moreover, we hope that this work would be helpful for practitioners who wish to utilize the technique to make the quick and essential hidden information by combining textual reviews and various service aspects ratings.

     

Do virtual goods entice more online donations? Perspectives of mental imagery and project appeal

Most existing research on online fundraising options has examined monetary settings. Recently, a new option has emerged that uses virtual goods. In this setting, donors choose between different amounts of virtual goods rather than different amounts of money. Whether this setting of options will impact donors' willingness to donate has yet been empirically tested in the literature. We propose that the concreteness of the donation option itself plays an important role here, and we compare the influences of two different donation option settings, i.e., virtual goods option and monetary option, on individuals' donation willingness. We conducted three experiments and found that charity projects using the virtual goods option are better able to entice donations than those using monetary settings. This effect is mediated by mental imagery and is moderated by the types of project appeals (i.e., altruistic vs. egoistic). Finally, both the theoretical and practical contributions of this research are discussed.     

Evaluating data-centric process approaches: Does the human factor factor in?

The Business Process Management field addresses design, improvement, management, support, and execution of business processes. In doing so, we argue that it focuses more on developing modeling notations and process design approaches than on the needs and preferences of the individual who is modeling (i.e., the user). New data-centric process modeling approaches are taken as a relevant and timely stream of process design approaches to test our argument. First, we provide a review of existing data-centric process approaches, culminating in a theoretical classification framework. Next, we empirically evaluate three specific approaches with regard to the claims they make. We had participants representative of actual users try out these approaches on realistic scenarios via a series of workshops. Participants assessed to what extent quality claims from the literature could be recognized within the workshop sessions. The results of this evaluation substantiate a number of claims behind the approaches, but also identify opportunities to further improve them. Most prominently, we found that the usability aspects of all considered approaches are a source of concern. This leads us to the insight that usability aspects of process design approaches are crucial and, in the perception of groups representative of actual users, leave much to be desired. In that sense, our research can be seen as a wake-up call for process modeling notation designers to consider the usability side—and as such, the interest of the human modeler—more than is currently the case.     

How credible are online product reviews? The effects of self-generated and system-generated cues on source credibility evaluation

Online product reviews are important information sources in the consumer decision-making process. Despite the importance of online reviews in product evaluation, there is an emerging need to address the role of self-generated and system-generated information in enhancing the credibility of online reviews. Two experiments were conducted to examine the topic. Study 1 found significant interactions between perceived similarity and source reputation on the evaluation of trustworthiness and expertise. Study 2 extended the findings of study 1 by examining how argument quality influenced credibility perception under different levels of similarity and source reputation.