Purpose The purpose of this study is to explore the effect two types presentation formats (textual and imagery) involving online restaurant reviews (ORRs). examines ORRs on basis review usefulness enjoyment; investigates effects enjoyment. Design/methodology/approach Data from 1,776 were collected Yelp.com using a Web data-harvesting technique. Hypothesized relations in model tested by Tobit regression analysis. Findings Empirical results show that different affect enjoyment manners; whereas...

Purpose The purpose of this paper is to answer the question whether smartwatches will survive and gain their own niche within consumer electronics market. Based on stimulus–organism–response (S–O–R) framework, study identifies validates impacts both technological fashion-related factors (interactivity, autonomy, visual aesthetics self-expression) product attachment towards through user satisfaction pleasure derived from smartwatches. Design/methodology/approach authors collected survey data...

CouchSurfing is a free social-network-based online hospitality exchange network, aptly representing new sharing economy phenomenon. Based on social capital theory and previous literature, this study attempts to answer why hosts help strangers without any expected economic benefit within networks. An empirical based Web survey conducted with reveals that the most identified antecedents (enjoy helping, shared narratives, desire make friends, reciprocity) are significantly related hosts’...

Sharing economy businesses require extensive trust-based communication between users and service providers to facilitate users’ positive persuasion processes. Based on Aristotle’s rhetorical theory, this study identifies three key persuasive cues (credibility, emotional bonding, accommodation characteristics) validates their roles in establishing trust an Airbnb setting. The moderating role of interactivity is further analyzed. Research findings from a survey sample 171 indicate that are...

This study provides an applicable methodological procedure applying Artificial Intelligence (AI)-based supervised Machine Learning (ML) algorithms in detecting fake reviews of online review platforms and identifies the best ML algorithm as well most critical determinants for a given restaurant dataset. Our empirical findings from analyzing 16 (review-related, reviewer-related, linguistic attributes) measured over 43,000 reveal that among seven algorithms, random forest outperforms other and,...

Purpose – The purpose of this paper is to investigate the impact features involving online product reviews (OPRs) on information adoption by new developers (NPDs). Design/methodology/approach In total, 143 OPRs a specific Amazon.com were collected as sample study. Using content analysis ratings and observed data in OPRs, research model was analyzed with partial least squares (PLS) method. Findings Results suggest that helpfulness rating degree referencing are positively associated NPDs’...

Virtual worlds are relatively nascent IT platforms with the potential to radically transform business processes and generate significant payoffs. However, in striving achieve specific outcomes, firms may incur risks. Although many companies claim have attained substantial benefits from their virtual world initiatives, others recently scaled down or even abandoned experimental projects. This paper assesses value proposition of initiatives real options perspective. Specifically, we argue that...

Digitization, informatization, and Internet penetration have led to a significant rise in cross-border e-commerce (CBEC), attracting considerable interest from academia, government, industry. This study employed novel method combining automatic text generation technology traditional bibliometric analysis summarize categorize the research on CBEC evolution 2000 2021. Articles were selected examined with focus four dimensions: customer, risk, supply chain, platform. Contradictions these...