Social media influencers and immersive technologies for dynamic consumer behavior

Journal of Consumer Behaviour, Год журнала: 2024, Номер 23(5), С. 2390 - 2394

Опубликована: Май 6, 2024

Язык: Английский

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Consumer Behavior's Evolution, Emergence, and Future in the AI Age Through the Lens of MR, VR, XR, Metaverse, and Robotics

Journal of Consumer Behaviour, Год журнала: 2025, Номер unknown

Опубликована: Фев. 4, 2025

ABSTRACT A critical discussion of the evolution consumer behavior, ethical consideration, and encouraging new future directions in AI era, we highlight ten main ideas regarding evolution, emergence, behavior Age through lens immersive technologies their significance changing landscape research. In light significant gaps understanding how influence urgent need for in‐depth knowledge this area era is emphasized. Analytically, (1) literature findings based on studies, (2) connection several thought‐provoking specific nuanced research questions, comprehensive theories, frameworks, contextual examples suggestions frameworks or adaptations each technology, (3) overview directions, thrusts, methodological approaches per study within related to metaverse, automation, robotics serve as a crucial foundation our objectives expected contributions article. The organization these logically allows us see clear progression from transformative impact interdisciplinary focus corporate responsibility digital age.

Язык: Английский

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Application of the LDA model to identify topics in telemedicine conversations on the X social network

BMC Health Services Research, Год журнала: 2025, Номер 25(1)

Опубликована: Март 12, 2025

The evolution experienced by global society, in the post-COVID 19 era, is marked quite obligatory use of digital media many sectors, as case for health sector. Quite frequently, both patients and professionals social to express their telemedicine concerns or interests. present research focuses on these comments they represent a very interesting data source researchers. In analysis, we focus unstructured tweet texts written Internet users apply machine learning Latent Dirichlet Allocation algorithm model X databases identify topics. results gathered provide with information most important issues factors influence telemedecine consumers. Background new technologies has transformed affecting communication, seeking ways working. Telemedicine, remote practice through ICTs, grown exponentially, especially after pandemic. Objective We do mixed methodology our study qualitative quantitative techniques explore conversational topics generated about posted X. This allows us primary, secondary, residual themes. Methods Natural Language Processing (NLP) Machine Learning techniques, specifically (LDA) model, were used analyse 156,633 extracted from "X" related Results revealed several be addressed. Data was collected using keywords such "teleconsultation" "telemedicine". can see that frequent words include "health", "service", "doctor" "patient". themes identified grouped into four dimensions: general information, benefits sought, specific professional issues. showed 60.1% focused generic topics, ease service information. queries observed public nature, focusing accessibility, while disease treatment less frequent. Conclusions proper development networks. platform mainly queries, convenience accessibility main mentioned. suggest online interactions are complex offer valuable insights improving communication strategies. Future could hashtags differences interaction patterns according user profile, providing deeper understanding audiences' behaviour These findings underline importance considering audience preferences improve effectiveness communications.

Язык: Английский

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Made With Love: Examining Consumer Engagement With Handmade Versus Machine‐Made Production Cues

Journal of Consumer Behaviour, Год журнала: 2025, Номер unknown

Опубликована: Янв. 5, 2025

ABSTRACT Advancing technologies have led to structural change in production methods, influencing not only business practices but also significantly reshaping consumer mindsets. Businesses increasingly utilise cues, such as ‘handmade’, differentiate their products and foster engagement. While prior studies demonstrate that cues can affect responses, it remains unclear how the impact of these (e.g., handmade vs. machine‐made) differs between segments. Marketers remain uncertain about strategically leverage effects across profiles product portfolios. Addressing this gap, research applies regulatory mode theory, providing a nuanced understanding cues' on engagement, with focus locomotion mode. Study 1, an online survey experiment, presents moderated mediation analysis: while effect willingness pay is mediated through love, varies consumers' (low high). 2 extends findings automated text analysis social media data ( n = 9380), validating moderating role real‐world context by analysing marketer‐generated content Facebook posts. The both confirm our predictions elicit distinct engagement responses depending segments: high‐locomotion consumers, who value efficiency, show diminished cues. This advances theory cue offering novel insights provides marketers actionable implications for segmentation targeted communication.

Язык: Английский

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Does Augmented Reality Apps Trigger Loyalty Toward the Brand? A Myth or Reality: The Case of UK and UAE Consumers

Journal of Consumer Behaviour, Год журнала: 2025, Номер unknown

Опубликована: Фев. 3, 2025

ABSTRACT With the growing integration of digital innovations in retail, a critical challenge persists: how can augmented reality (AR) applications be utilized to entice intended target markets engage and remain loyal? To this end, study aims bridge gap by analyzing effects AR‐based apps on consumers' brand loyalty beauty goods sector with specific reference UK UAE. Using S‐O‐R framework as theoretical research, examines influence experiential values such playfulness aesthetics mediated customer satisfaction. The results from questionnaire completed 550 female AR Mobile App users were examined testing nine hypotheses. Emphasizing research findings, it further determined that while evaluating value, there appears significant emphasis loyalty. However, aesthetic value has had minimal consumers within Also, psychological engagement could have been higher interacted satisfaction two regions. Thus, extends understanding examining implications for consumer behavior region providing practical recommendations managers who want use improve

Язык: Английский

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Empirical Categorization of Factors Affecting Online Consumer Behavior of Gen Z Regarding Newly Launched Technological Products and Moderating Impact of Perceived Risk

Behavioral Sciences, Год журнала: 2025, Номер 15(3), С. 371 - 371

Опубликована: Март 15, 2025

In previous years, studying consumer behavior was seen as important, but in today’s fast-changing market, with rapid technological advancements, understanding can be a key factor product’s success or failure. The aim of the current research to investigate factors that influence online Generation Z, regarding products have just been launched and are available public. To achieve this goal, cross-sectional study conducted sample 302 Z consumers selected using convenience sampling elements systematic sampling. This used structured questionnaire established measurement scales explore different aspects behavior. based on variables identified from various theories models. results led identification six groups influencing behavior, highlighting importance these shaping showing perceived risk moderating factor. These findings provide thorough while simultaneously laying foundation for creation targeted differentiated marketing strategies.

Язык: Английский

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When You Feel You Own AI Assistants: How Consumer Ownership Enhances Consumers' Adoption Intention

Journal of Consumer Behaviour, Год журнала: 2025, Номер unknown

Опубликована: Март 28, 2025

ABSTRACT AI assistants are transforming the business landscape by revolutionizing customer service, sales, and marketing. This study investigates how consumer ownership—defined as psychological sense of ownership over products—affects adoption intentions assistants. Drawing on theory commitment, we find that significantly increases intention fostering a stronger commitment to product. In series three studies, demonstrate real (Study 1, N = 120, Survey) perceived 2, 200, Experiment) both enhance intentions. Furthermore, Study 3 ( reveals impact is moderated type assistant. Specifically, effect for functional but disappears companion research provides valuable strategies businesses increase adoption.

Язык: Английский

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Exploring AI technology and consumer behavior in retail interactions

Journal of Consumer Behaviour, Год журнала: 2024, Номер unknown

Опубликована: Сен. 2, 2024

Abstract This research systematically reviews artificial intelligence (AI) effects in customer‐interfacing retail applications based on an ecosystem value co‐creation framework. We conduct a bibliometric and conceptual mapping analysis study, focusing AI‐related implications for consumers' other stakeholders' well‐being, social interaction, societal welfare. A co‐citation network visualization of critical AI journal articles is generated, keyword relationships clustered topic areas presented discussed, along with map the between key concepts substantive themes. In context, multidisciplinary‐based findings our reflect need to focus not only positive negative stakeholder welfare but also how created one these levels impact layers. Furthermore, interdisciplinary characteristics necessary effectively implementing managing technologies emphasize collaboration among multiple organizational departments, technology partners, members business ecosystem. The this contribute assessing both allow its implementation way that helpful organizations, employees, consumers, society. study should help managers decide which situations are best suited using not.

Язык: Английский

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The metaverse experience: A scale development study

Journal of Consumer Behaviour, Год журнала: 2024, Номер 23(6), С. 3061 - 3081

Опубликована: Авг. 26, 2024

Abstract Understanding the metaverse experience (MEX) is paramount to allow companies exploit its potential and align with consumers' expectations. Accordingly, this paper develops a scale identify main dimensions that define MEX as well investigate which constituent of are more suited enhance attitude toward metaverse, key element foster exploratory behavior. By drawing on research design based multiple stages including qualitative quantitative data analysis, measure includes six dimensions: sensory/affective, intellectual, behavioral, relational, interoperability, safety. The relational were found non‐significant showing built experiential sensory/emotional, These also directly affect metaverse. contributes current discussion by offering first tested reliable MEX.

Язык: Английский

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Impact of Telemedicine through Social Media: A Study of Topics in User Comments on Twitter

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Окт. 14, 2024

Background The use of new technologies has transformed society, affecting communication, information seeking and ways working. Telemedicine, as a remote health practice through ICTs, grown exponentially, especially after the pandemic. Objective This qualitative study aims to explore users' perceptions concerns about telemedicine comments posted on Twitter by users, identifying primary, secondary residual themes. Methods Natural Language Processing (NLP) Machine Learning techniques, specifically Latent Dirichlet Allocation (LDA) model, were used analyse 156,633 extracted from related topics. Results The revealed several issues be addressed. Data was collected using keywords such "teleconsultation" "telemedicine". We can see that most frequent words in include "health", "service", "doctor" "patient". themes identified grouped into four dimensions: general information, benefits sought, specific professional issues. results showed 60.1% focused generic topics, ease service information. queries observed public nature, focusing accessibility, while disease or treatment topics less frequent. Conclusions provide for proper development social networks. is platform mainly queries, with convenience accessibility main mentioned. suggest online interactions are complex offer valuable insights improving communication strategies. Future research could hashtags differences interaction patterns according user profile, providing deeper understanding audiences' behaviour These findings underline importance considering audience preferences improve effectiveness communications.

Язык: Английский

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