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

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

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

Knowledge Broker Bots in Enterprise Social Media: An Exploratory Study

Enterprise social media (ESM) platforms are a central hub for team collaboration. While they can effectively facilitate communication among distributed individuals and teams, promoting knowledge sharing remains a major challenge. ESM users are often unaware of others’ knowledge and therefore are unable to seek experts or share knowledge with those who need it. A potential solution could be the use of knowledge broker bots that automatically connect knowledge seekers with knowledge providers to facilitate knowledge sharing. However, given the focus of existing literature on the human element of knowledge brokering, our understanding of the use and impact of such bots on knowledge sharing in ESM is limited. Therefore, we conducted a two-month, exploratory study with five student teams on Slack. Our findings provide initial insights into how users interact with a knowledge broker bot and how the bot establishes connections between users as a critical conduit to successful knowledge brokering

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

The Nature and Dimensionality of Cognitive Absorption: A Critical Review and Meta-Analysis

Cognitive absorption (CA) has been widely used in research since its inception in 2000. However, conflicting findings regarding its relationships with other constructs, and nuanced interpretations of flow theory present challenges for the research involving CA. We present our ongoing literature review, which aims to examine the multidimensional structure of CA and its relationships with other constructs in its nomological network by conducting a meta-analysis. Our preliminary results indicate that researchers’ modifications of the measurement model of CA follow a pattern, suggesting possible theory-building activities. Empirical data also indicates two dimensions with relatively weaker correlations, providing nuanced insights into the CA construct. In this literature review protocol, we discuss our methodology, preliminary findings, and implications for research and future steps