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The purpose of this paper is to incorporate mobile payment (MP) self-efficacy, new technology anxiety, and MP privacy concerns into the basic TAM to explore MP adoption, particularly tap-and-go payment, among US consumers.

Data were collected through an online survey conducted among students at a Midwestern University in the USA. A total of 254 participants provided 240 useable responses.

MP self-efficacy significantly impacts perceived ease of use (PEOUMP) and perceived usefulness of MP (PUMP). These in turn impact MP attitude, which affects intention to use MP. Privacy concerns also impact attitude towards MP and MP use intention. New technology anxiety impacts PEOUMP, but not PUMP.

The study uses a convenience sample of young US consumers, which could limit the generalisability of the results. The study is also limited to tap-and-go payment.

US retailers have information on some of the factors that encourage MP adoption. Retailers need to address self-efficacy concerns, MP privacy concerns, and consumers’ perceptions of usefulness of the technology.

There has been little research on factors impacting tap-and-go payment adoption in the USA. The study highlights the roles of self-efficacy and privacy concerns. It focusses on tap-and-go payment, since this technology can enhance consumers’ retail experience.

The objectives of the paper were to develop a theoretical framework of the online shopping experiences (OSE) concept, identify its constituent dimensions and subdimensions, and propose and test a comprehensive measurement scale that would incorporate and reconcile existing fragmented approaches to the phenomenon.

This paper utilized a mixed-method approach to conceptualize a complex phenomenon of online shopping experiences (OSE). Study 1 employed the grounded theory approach to understand the phenomenon, propose its comprehensive definition and a conceptual model. Study 2 developed and tested a comprehensive OSE measurement scale.

The study conceptualized OSE as a second-order construct with four mutually-connected constituent dimensions of OSE: practices, context, values and emotions, and their respective 21 subdimensions. It developed and validated a comprehensive scale that is superior to earlier proposed fragmented measures of OSE.

The proposed theoretical framework can serve as a foundation for the OSE research stream and consolidate existing findings by providing a conceptual umbrella for different OSE aspects addressed in earlier research. The OSE measurement scale can be used to assess the impact of each OSE component on satisfaction and loyalty in different shopping situations.

The findings can assist retailers in evaluating usefulness of various tools in eliciting certain experiential effects, devising specific approaches to consumers at different touch points along their dynamic OSEs and developing engagement tactics for various shopping environments.

The study combined qualitative and quantitative approaches to offer a most comprehensive and unifying conceptualization and measurement instrument of OSEs.

The purpose of this study is to explore customer-artificial intelligence (AI) service technology engagement and relationship development drivers, as well as potential negative consequences in the context of social chatbots.

A sequential mixed-method approach combined exploratory qualitative and confirmatory quantitative analyses. A conceptual model developed from Study 1 qualitative content analysis of in-depth interviews with active users of the AI social chatbot Replika was tested in Study 2 by analyzing survey data obtained from current Replika users.

Loneliness, trust and chatbot personification drive consumer engagement with social chatbots, which fosters relationship development and has the potential to cause chatbot psychological dependence. Attachment to a social chatbot intensifies the positive role of engagement in relationship development with the chatbot.

This study was the first to combine qualitative and quantitative approaches to explore drivers, boundary conditions and consequences of relationship and dependence formation with social chatbots. The authors proposed and empirically tested a novel theoretical model that revealed an engagement-based mechanism of relationship and dependence formation with social chatbots.

This study aims to investigate the differences in consumers’ perceptions of trust, performance expectancy and intention to hire between human financial advisors with high/low expertise and robo-advisors.

Three experiments were conducted. The respondents were randomly assigned to human advisors with high/low expertise or a robo-advisor. Data were analyzed using MANCOVA.

The results suggest that consumers prefer human financial advisors with high expertise to robo-advisors. There are no significant differences between robo-advisors and novice financial advisors regarding performance expectancy and intention to hire.

This pioneering study extends the self-service technology adoption theory to examine adoption of robo-advisors vs human financial advisors with different expertise levels. To the best of the authors’ knowledge, it is among the first studies to address multi-dimensionality of trust in the context of artificial intelligence-based self-service technologies.

This paper aims to investigate collective identity construction process and applicability of resistance dimensions to the Freegan phenomenon.

Data triangulation approach combines netnography of the Freegan online discourses, and content analysis of mainstream consumer views of Freeganism.

Participation in shared practices facilitates Freegan collective identity construction through convergence of radical consumer resistance and market‐mediated anti‐consumption.

Multi‐dimensional conceptualization of resistance is applicable to analyzing consumer movements.

Through data triangulation, this research offers an analysis of internally negotiated and externally ascribed Freegan group identities.

The purpose of this paper is to empirically identify categories of online shopping experiences and web site functions facilitating these experiences, and to test the effect of those experiences on browser satisfaction, conversion, and online store performance.

Two analytical methods (survey‐based exploratory factor analysis and secondary data‐based regressions) were employed to test the mediating role of browser satisfaction between online shopping experiences and e‐tail performance for 115 top online retailers during 2006‐2008.

In addition to supporting the existence of such parallel in‐store and online experiences as sensory, cognitive, pragmatic, and relational, a new type of online shopping experience (interactive/engagement) was identified. It comprises customer involvement with the online store and with friends and other shoppers via the online store interface. The mediating role of browser satisfaction in increasing sales and traffic to online stores was confirmed.

Future research should account for potential multi‐channel effects of online shopping experiences.

Investing in web site features that facilitate such social experiences as product reviews and ratings sharing, and interacting with the site itself (site personalisation and mobile interface), and through the site with others (social networking, wish list, e‐mail‐a‐friend, etc.), can positively influence site visitor satisfaction and lead to increased traffic and sales.

This paper is among the first to explore the nature and drivers of online shopping experiences. It uses multi‐method approach to identify which online shopping experiences significantly affect browser satisfaction and, consequently, store performance.

This study aims to investigate the appeal of “natural” labeling and builds on past research which suggests that people may have a naïve pastoral view of nature and natural entities. “Natural” labeling is pervasive in supermarkets across the USA.

This paper employs a multi-method approach to examine consumer perceptions and beliefs about products labeled “natural”. Qualitative responses are solicited to examine the images and feelings that come to mind when consumers see “natural” labeling on a food product. Two experiments are conducted to examine consumers’ evaluations of “natural” labeling on both food and supplement products.

The results of three studies suggest that “natural” labeling evokes positive feelings and sentimental imagery associated with a pastoral view of nature. These perceptions reinforce beliefs that food and supplement products labeled “natural” possess positive instrumental benefits such as health advantages, lack of contamination and safety.

Consumers are under pressure to make better choices regarding what they put into their bodies due to pervasive concern over the prevalence of obesity and diabetes. This study provides insight into why consumers perceive food and supplement products labeled “natural” as better alternatives.

This paper is one of the first studies to investigate the underlying perceptual forces accounting for the effectiveness of “natural” food and supplement labeling.

This paper aims to analyze and quantitatively compare existing empirical findings on the role of organizational information‐processing and new product outcomes. The meta‐analytic technique is used to reconcile some of the current divergent thinking on the role of organizational learning in new product success.

The method and procedure of the meta‐analysis are utilized to generalize existing empirical findings regarding the role of information processing in new product success by evaluating homogeneity of the obtained results, and measurement‐ and context‐related moderators of the relationship magnitude. It reports and discusses the results, and proposes theoretical and managerial implications of the findings.

The meta‐analysis of the relationship between organizational information processing and new product success supports an overall positive effect, and identifies measurement‐ and context‐related moderators influencing the magnitude of the relationship.

The analysis, done on the limited number of available effect sizes (77) due to the newness of the area, provides guidance to future researchers by clarifying operationalization and measurement of the main constructs, and suggesting the role of context variables for sampling purposes.

The paper provides guidance to New Product Development (NPD) team leaders by emphasizing the need for integrating information‐related processes and idea management at various NPD stages, and stressing better effectiveness of information processing at the team level.

This first meta‐analysis in the area of information processing and new product outcomes confirms the importance of organizational learning in new product development and outlines important implications for future research and managerial practice.

The purpose of this paper is to examine the applicability of the economics of information-driven product categorization – search vs experience products – when investigating online brand advertising and news synergies.

Randomized controlled post-test experiment with over 400 participants in three treatment groups involving exposures to paid advertising (banner ad-plus-banner ad) and publicity (news article-plus-banner ad and banner ad-plus-news article) for four products. Questionnaire upon web site exit tested differences in brand attitudes among treatment groups and product categories.

Findings indicate that including news about the brand in the online brand communication mix – either before or after ads – generates higher brand attitude scores for experience products. For search products sequence matters and brand attitudes are more positive when consumers are exposed to news articles first followed by advertisements.

Findings limited to the four product categories and student participants.

When promoting search goods online, brand managers should include publicity only before display advertising efforts. For experience goods, publicity generates higher brand attitude scores when included either before or while running display advertising.

First study examining online publicity and advertising synergies from an economics of information theory perspective separating search from experience goods when promoting new/unknown brands online. In the online environment, the line between journalistic/news and promotional/advertising text-based content has become increasingly blurred. Compared to paid online advertising, using third-party attributed communications sources like publicity increases message credibility. Adding product-related news and blog articles to banner advertisements may benefit from synergistic effects and have consumers process the brand message more extensively. The order of exposure to the different brand messages matters when promoting search as opposed to experience products online.