Grappling with Online Grocery Shopping: An Age-Related study

In both an increasingly digital and aging society, natural age-related cognitive changes take place, which may negatively affect performance when using increasingly complex digital interfaces. Obtaining daily needs such as groceries becomes more difficult with age and shopping for groceries online presents a challenge to many older adults. The purpose of this study is to understand how and in what ways age affects online grocery shopping performance. 32 participants were recruited for this study consisting of 17 younger adults and 15 older adults. Participants were presented with sets of tasks which required them to mentally calculate the quantity of food they can purchase within a given budget. Eye tracking and survey methods were used during the study. Our results show that age negatively impacts cognitive load. Cognitive load was found to negatively impact performance in online grocery shopping tasks. Self-efficacy showed to have a mild moderating effect on said relationship

A Meta Review of HCI Literature: Citation Impact and Research Productivity Rankings

The objective of this study is to conduct a meta-review analysis of the human-computer interaction (HCI) literature by investigating research productivity and conducting a citation analysis of individuals, institutions, and countries. The meta-analysis focuses on the three leading peer-reviewed, refereed journals in this area: International Journal of Human-Computer Interaction, Human-Computer Interaction, and Behavior and Information Technology. Results indicate that research productivity is exploding and that there are several leading authors and foundation publications that are referenced regularly

Understanding Twitter’s adoption and use continuance: the Synergy between Uses and Gratifications and Diffusion of Innovations

This study explored the explanatory power of Uses and Gratifications (UG) and the Diffusion of Innovation theory (IDT) in describing Twitter phenomenon. Effects of mobile access and perceived outcomes of using Twitter were also examined and comparison of active and inactive users revealed which needs are likely to result in Twitter’s discontinuance if unmet. Online survey and data analysis with Partial Least Squares (PLS) revealed that the needs for Entertainment, Relaxation, the service’s Visibility and Compatibility were strong predictors of Twitter’s usage. ANOVA highlighted that the same dimensions were significantly lower among inactive ‘tweeters’, suggesting that the same factors may be responsible for both adoption and continuance. Mobile access of Twitter was found to be a catalyst for continued use. There is a need for the combined use of UG and IDT in describing Twitter’s adoption, with personal needs and the service’s characteristics being the use drivers by different audiences

The Impact of Consumer Compliments versus Complaints: A Functional Neuro-Imaging Exploration of the Effects of Electronic Word of Mouth

Social media represent one of the fastest growing marketing channels in the world. Consequently, both researchers and practitioners are increasingly interested in the effects of social media marketing efforts on the likelihood of consumers to engage with and subsequently purchase from a brand. However, hitherto, little research has explored how social media users process the information they encounter on social media and how this information affects the nature and level of brain activity that occurs. In the proposed study, we will use functional neuroimaging (fMRI) tools to complement psychometric measures to specifically explore the neural activity that occurs in response to comments or electronic word-of-mouth; i.e., consumers’ responses to posts from brands on social media. The selection of comments focuses on two dimensions of theoretical interest, namely the nature of the comment—compliment versus complaint—as well as the nature of the brand the comment is targeting—low versus high involvement. The theoretical and practical significance of this study are discussed

The Duality of Social Media: Structuration and Socialization through Organizational Communication

Drawing on Habermas’ theory of communicative action, this conceptual paper proposes the Organizational Social Media Lifeworld (OSML) as a useful model for disentangling the complex use of social media in organizations and its enabling role for organizational communication. Based on the OSML model, we show how social media are intrinsic to each of these four elements—actors, action, entity and culture—and how it enables the two overarching organizational processes of structuration and socialization. Herefrom we delineate a set of communication archetypes for making sense of the plethora of social media activities in organizational contexts, which can further guide research and practice. In order to illustrate the OSML model, we provide seven illustrative vignettes of the use of Facebook Pages for organizational communication pertaining to the various foundational actions and processes within an organization that are supported through four functional material properties. Finally, we provide implications for future research

Antecedents and Consequents of Information Usefulness in User-generated Online Reviews: A Multi-group Moderation Analysis of Review Valence

Online reviews have become a critical component of consumers’ Web-based search queries and help them minimize uncertainty and risk associated with purchase decisions. Not only do customers perceive online reviews to be more “real”, but also online reviews enable opportunities for interactivity between consumers, which makes them a popular source of information when consumers make (online) purchase decisions. In this study, we examine the impact of online reviews on consumers’ beliefs, brand attitudes, and purchase intention by theoretically extending the information adoption model (IAM) with constructs from consumer research. To do so, we used data from a scenario- based online experiment and manipulated three review characteristics (currency, accuracy, and credibility) using carefully selected TripAdvisor reviews. Using a partial-least squares approach (PLS) to structural equation model (SEM), we found strong empirical support for our hypotheses that review quality and reviewer credibility drive information usefulness and that information usefulness, in turn, drives consumers’ attitudes toward and their intention to purchase from a brand. Using PLS multi-group analysis, we further explored the moderating role of review valence—positive versus negative—and found significant differences in the importance of the drivers of information usefulness and its consequents. We discuss our study’s implications for theory and practice