Search results

With the expansion of artificial intelligence (AI) technology in everyday life, it is critical to discuss how and why consumers respond in certain ways to AI agents. However, few studies have examined the mechanisms underlying users’ responses to these agents. This study aims to identify such mechanisms and discuss how users form loyalty toward AI agents. Specifically, this study addresses interactivity with AI voice assistants as a key determinant of user loyalty, presenting user perceptions of the human-likeness of AI voice assistants and communication self-efficacy as sequential mediators.

We investigate the effects of human-likeness and communication self-efficacy on the relationship between interactivity and loyalty to AI voice assistants by developing a sequential mediation model. To estimate the empirical model, data were collected through an online survey with 330 respondents.

The results indicate that interactivity influences loyalty directly and positively. In addition, interactivity affects loyalty indirectly sequentially through human-likeness and communication self-efficacy.

By uncovering the psychological mechanisms underlying users’ loyalty to AI voice assistants, this study provides new academic and managerial insights that have not been clearly identified in the current literature.

Although there are at least two important characteristics of targeted promotions—promotion individualization (i.e. whether the offer is personalized for the recipient) and notification exclusivity (i.e. how small the number of recipients is)—most previous studies on targeted promotion have conceptualized them synonymously. The purpose of this study is to investigate the effect of targeted promotion on consumer purchases by conceptualizing these separately and incorporating them in a single model. Also, this study explores how the effects of these differ depending on customer loyalty. We particularly examine the promotional responses of extremely loyal customers, distinguishing them from other loyal customers.

Using actual customer purchase data, we develop a two-stage model of the consumer decision-making process involving decisions of whether and how much to purchase. The two characteristics of targeted promotions—promotion individualization and notification exclusivity—first influence the probability of purchase and then the purchase amount given purchase.

The results show that customers respond positively to individualization and exclusivity. The effect of individualization is reduced as customer loyalty increases from loyal customers to extremely loyal customers while that of exclusivity remains the same.

By clearly identifying the two characteristics of targeted promotions and developing an empirical model that captures the effects of these separately, this paper provides new academic and managerial insights that were not clearly identified in the current literature.

Corporate hypocrisy occurs when a discrepancy exists between corporate talk and actions. As companies assume more extensive economic, societal and global roles, they are more likely to encounter situations in which their words and actions are inconsistent. Therefore, a company’s ability to cope with such situations is becoming increasingly important. This study aims to examine the negative effects of corporate hypocrisy on corporate reputation. First, it reveals the underlying mechanisms by presenting corporate trust and affective commitment as parallel mediators. Additionally, it explores how corporate social responsibility (CSR) perceptions mitigate the indirect effects of corporate hypocrisy.

Data were collected through an online survey conducted at two time points in the context of Korean retail banking companies. A total of 313 respondents participated in a two-wave online survey using a multistage sampling technique to ensure a representative population sample. This study used the Mplus-based Hayes’ PROCESS Macro to test the research hypotheses.

The results show that corporate hypocrisy negatively affects corporate reputation by impeding customers’ corporate trust and affective commitment. These negative indirect effects are mitigated when customers’ perceptions of CSR are high.

By establishing a parallel moderated mediation model that captures the impact of corporate hypocrisy. To the best of the authors’ knowledge, this study presents important academic and managerial implications that have not been provided in the literature.

Although information technology has been at the centre of attention of political branding for some time, research has traditionally focused mainly on its role in the facilitation of communication. This paper aims to unpack the role of information technology in the emergence of new cyber political brands.

This research uses a dual case study approach that focuses on the relationship between branding, politics and information technology. The analysis focuses on two successful political cyber brands: the Italian Five Star Movement and the Czech Pirate Party. Data collection covering the time frame between their emergence and their political success occurs through netnographic methods.

Cyber political brands emerge and materialize in different forms. The present analysis allows for a delineation of three conceptual elements that characterize the constitutive interrelationship of information technology in the emergence of cyber political brands. The first conceptual element, organization, refers to how political brands become structured around linked activities. The second conceptual element, orientation, describes how the activities of a political brand are directed to build a specific path and legitimize courses of action. The third conceptual element, operation, delineates the processes that anchor and stabilize the political brands in its “own” culture, establishing specific base activities.

Information technology and the techno-culture emerging around the two cyber party brands can be seen as the possible delineations of new “cleavages” in the form of “information technology-culture” which enables potential electoral success.

The present study by offering the conceptualization of the cyber political brand shows how political brands can reflect a type of performative cultural branding where they become able, as a networked-medium, to assemble a specific techno-culture. In terms of political brand development, the current analysis offers a framework that allows us to consider the process of political party development in a new fashion.

As algorithms permeate nearly every aspect of digital life, artificial intelligence (AI) systems exert a growing influence on human behavior in the digital milieu. Despite its popularity, little is known about the roles and effects of algorithmic literacy (AL) on user acceptance. The purpose of this study is to contextualize AL in the AI environment by empirically examining the role of AL in developing users' information processing in algorithms. The authors analyze how users engage with over-the-top (OTT) platforms, what awareness the user has of the algorithmic platform and how awareness of AL may impact their interaction with these systems.

This study employed multiple-group equivalence methods to compare two group invariance and the hypotheses concerning differences in the effects of AL. The method examined how AL helps users to envisage, understand and work with algorithms, depending on their understanding of the control of the information flow embedded within them.

Our findings clarify what functions AL plays in the adoption of OTT platforms and how users experience algorithms, particularly in contexts where AI is used in OTT algorithms to provide personalized recommendations. The results point to the heuristic functions of AL in connection with its ties in trust and ensuing attitude and behavior. Heuristic processes using AL strongly affect the credibility of recommendations and the way users understand the accuracy and personalization of results. The authors argue that critical assessment of AL must be understood not just about how it is used to evaluate the trust of service, but also regarding how it is performatively related in the modeling of algorithmic personalization.

The relation of AL and trust in an algorithm lends strategic direction in developing user-centered algorithms in OTT contexts. As the AI industry has faced decreasing credibility, the role of user trust will surely give insights on credibility and trust in algorithms. To better understand how to cultivate a sense of literacy regarding algorithm consumption, the AI industry could provide examples of what positive engagement with algorithm platforms looks like.

User cognitive processes of AL provide conceptual frameworks for algorithm services and a practical guideline for the design of OTT services. Framing the cognitive process of AL in reference to trust has made relevant contributions to the ongoing debate surrounding algorithms and literacy. While the topic of AL is widely recognized, empirical evidence on the effects of AL is relatively rare, particularly from the user's behavioral perspective. No formal theoretical model of algorithmic decision-making based on the dual processing model has been researched.

Conceptual and empirical research over the past 20 years has moved the social media (SM) literature beyond the embryotic stage to a well-developed academic discipline. As the lead article in the special issue in the Journal of Research in Interactive Marketing on Cutting-Edge Research in Social Media and Interactive Marketing, this review and agenda article has two key goals: (1) to review key SM and interactive marketing research over the past three years and (2) to identify the next wave of high priority challenges and research opportunities.

Given the “cutting-edge” research focus of the special issue, this review and research agenda paper focused on articles published in 25 key marketing journals between January 2021 and March 2024. Initially, the search request was for articles with “social media, social selling, social commerce” located in the article title, author-selected key words and journal-selected keywords. Later, we conducted searches based on terminology from articles presented in the final review. In total, over 1,000 articles were reviewed across the 25 journals, plus additional ones that were cited in those journals that were not on the initial list.

Our review uncovered eight key content areas: (1) data sources, methodology and scale development; (2) emergent SM technologies; (3) artificial intelligence; (4) virtual reality; (5) sales and sales management; (6) consumer welfare; (7) influencer marketing; and (8) social commerce. Table I provides a summer of key articles and research findings for each of the content areas.

As a literature review and research agenda article, this paper is one of the most extensive to date on SM marketing, and particularly with regard to emergent research over the past three years. Recommendations for future research are integrated through the paper and summarized in Figure 2.

Consumer welfare is one of the eight emergent content areas uncovered in the literature review. Specific focus is on SM privacy, misinformation, mental health and misbehavior.

The purpose of this study is to look at the factors that drive people to participate in the sharing economy (SE). Based on the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), the study proposes a mathematical model. The study’s ultimate objective is to help businesses attract more involved customers and promote collaborative consumption as a sustainable alternative to typical consumption patterns. The study offers a conceptual framework established via a thorough literature review to examine Indian customers’ use behavior toward SE platforms. A one-sample two-tailed t-test is used to assess the framework’s efficacy. The research fills gap in the literature on the SE by investigating the factors that determine subjective norms (SN), attitudes (A), and perceived behavioral control (PBC). A framework is provided that takes behavioral intention (BI) contemplated as a mediating variable. The research improves TAM and TPB by including new factors such as technical characteristics. This research adds to the body of knowledge on the digital SE by underlining the relevance of usage behavior in comprehending Indian customers, where A, SN, and PBC are important aspects. The research presents a paradigm for better understanding customers’ attitudes and behaviors toward various SE platforms, which might help academics, practitioners, and policy makers situate their initiatives within the larger field of sharing. The study’s categorizations of Indian consumers’ A, SN, PBC, and BI toward the SE might potentially advise on future research and government policies.

Purpose: This chapter outlines a cultural critique of the Gangsta as an exemplary figure to investigate the performance of social media identity. The main goal of the chapter is to illustrate some of the implications that social media have on the contemporary dramatization of the criminal, here framed as a collective techno-cultural process at the threshold between social stigma and branding. Despite using the term “Gangsta,” the author’s intent is not to “fix” this figure as an identity or a class of people, but rather to identify a broad cultural context that emerges from a glocalized hip-hop imaginary, stemming from gangsta rap and evolving alongside trap and drill.

Methodology/approach: The contribution is not intended as an empirical sociological study, but a critical cultural exploration of convergent media that bring together a glocalized gang culture and everyday social media interactions. In the second section, the author outlines his theoretical framework by identifying a point of convergence between recent studies of Instagram celebrities and criminological takes on the selective nature of gang identity. The author also explores the relationship between the “dissing,” a cultural form that is very relevant to the more aggressive sub-genres of rap, and the practice of tagging, a key affordance of social media platforms. In so doing, the author frames social media tagging as a form of identity labeling.

Findings: In light of the theory previously outlined, the author explains how tagging is used alternately to enforce social stigma and engage in recursive branding. The final section examines the aforementioned forms of tagging more in detail, in relation to specific media ecologies of YouTube videos that feature compilations of Instagram Stories originally posted by emerging Italian rappers.

Research limitations: Although it is aimed at offering an interdisciplinary contribution, this chapter adopts an admittedly media-focused perspective. Rather than producing more evidence about the use of social media by gangs, the author comments on existing sociological insight in relation to the affordances and esthetics of social media ecologies, re-problematizing certain forms of online interaction.

Originality/value: By focusing on the commonplace practice of tagging in relation to the figure of the Gangsta, the author emphasizes how online labeling practices can be more fraught that they appear, emphasizing the need for further critical reflections on the stereotyping potential of social media branding practices.