Shaping Virtual Retail: Identifying Key Influences in Metaverse Shopping with Fuzzy DEMATEL DOI Creative Commons

Lalan Sharma,

Neeraj Kaushık

Journal of Metaverse, Journal Year: 2025, Volume and Issue: 5(1), P. 51 - 63

Published: March 12, 2025

The Metaverse is significantly transforming e-commerce by providing immersive and interactive virtual shopping environments. This study explores the qualitative aspects user interactions that shape customer experiences on platforms. research uses Fuzzy DEMATEL (FDEMATEL) technique to identify prioritize 11 key factors influencing digital experiences, derived from literature expert opinions. FDEMATEL approach effectively examines causal relationships among these factors, reducing bias associated with imprecise human judgments. reveals flow, immersion, ease of use are prominent while informativeness, media richness, risk critical cause for successful retail These findings offer valuable insights managers platform developers enhance experiences. uniquely identifies analyzes success a comprehensive understanding can drive

Language: Английский

Drivers of metaverse adoption for enhancing marketing capabilities of retail SMEs DOI
Anis ur Rehman, Rajat Kumar Behera, Md. Saiful Islam

et al.

Technology in Society, Journal Year: 2024, Volume and Issue: 79, P. 102704 - 102704

Published: Aug. 30, 2024

Language: Английский

Citations

7

Unlocking the metaverse: Determinants of voluntary adoption in e-commerce DOI
Radka Bauerová,

Michal Halaška

Sustainable Futures, Journal Year: 2025, Volume and Issue: 9, P. 100436 - 100436

Published: Jan. 16, 2025

Language: Английский

Citations

1

Breaking the virtual wall: analysing barriers to metaverse adoption in manufacturing industries DOI
Rohit Agrawal, Vishal Ashok Wankhede

International journal of organizational analysis, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 4, 2025

Purpose The adoption of metaverse in manufacturing holds significant benefits, but there are several barriers to its seamless integration. This paper aims identify such and prioritize them a manner that allows industrial leaders strategize for smooth adoption. Design/methodology/approach In this study, we applied two-stage methods, first the identification validation through an empirical study Exploratory Factor Analysis (EFA). A purposive sampling technique snowball facilitated data collection from these expert sources. Through sampling, additional contacts working field were reached, resulting 235 possible respondents; survey yielded 104 completed responses. Thereafter, best-worst method (BWM) was used measure rank barriers. Findings results show two most critical “Lack security privacy” integration compatibility with existing systems.” Such findings inform industry specific recommendations structural changes, training programs, necessary technological investments collaborative efforts overcome Research limitations/implications work adds significantly academic discussion by prioritizing towards integrating technology manufacturing. addition, strategic methodology aids appraisal ranking successful also identifies key acknowledges other unexamined factors might be lurking background, as virtual economy, financial risks cross-border legal issues. Practical implications study’s conclusions cannot generalized sectors, thus indicating necessity carrying out comparative multi-sector future. Originality/value To best authors’ knowledge, on systematic prioritization adopting is original contribution authors.

Language: Английский

Citations

1

Adoption of Metaverse in Healthcare Sector: An Empirical Analysis of its Enablers DOI
Vipulesh Shardeo, Bishal Dey Sarkar, Umar Bashir Mir

et al.

IEEE Transactions on Engineering Management, Journal Year: 2024, Volume and Issue: 71, P. 8671 - 8685

Published: Jan. 1, 2024

Language: Английский

Citations

6

Examining the limitations of AI in business and the need for human insights using Interpretive Structural Modelling DOI Creative Commons
Mohammad Alawamleh,

Natalie Shammas,

Kamal Jamal Alawamleh

et al.

Journal of Open Innovation Technology Market and Complexity, Journal Year: 2024, Volume and Issue: 10(3), P. 100338 - 100338

Published: July 6, 2024

The integration of Artificial Intelligence (AI) in business settings is rapidly increasing, yet significant limitations hinder its effective use and adoption. Understanding these their interrelationships crucial for enhancing AI implementation. Despite growing research, there a lack comprehensive model that systematically identifies elucidates the factors influencing environments. This study employs Interpretive Structural Modeling (ISM), combined with MICMAC analysis an extensive literature review, to develop such model. We identified 15 key analyzed driving dependence powers understand interrelationships. Most factors, as contextual understanding, transparency, intuition, emotional intelligence, ethics, bias, tacit knowledge, creativity, credibility, reliability, were found be autonomous. Accountability privacy emerged strongest forces, while trust adaptability exhibited highest lowest power. research offers understanding interrelationships, providing valuable insights managers businesses. findings can aid making more informed decisions about implementation developing strategies mitigate limitations. Furthermore, emphasizes importance combining human insight overcome challenges. However, using ISM technique could involve subjective judgment from experts.

Language: Английский

Citations

6

The impact of immersive and flow experiences on consumer participation in hyper‐connected shopping platforms: A metaverse perspective DOI
Zeling Zhong, Manel Hamouda

Journal of Consumer Behaviour, Journal Year: 2024, Volume and Issue: 23(6), P. 2826 - 2845

Published: July 13, 2024

Abstract Consumers find it increasingly compelling to immerse themselves in the metaverse, a trend that will likely continue. Although metaverse has retailing potential, understanding empirically its effects on consumer behavior is still underexplored. Our study investigating interactions this hyper‐connected shopping environment uses scenario‐based data from 262 consumers and multimethod quantitative approach examine integrative behavioral model, revealing perceptions of affordances, their impact self‐efficacy, role trust, immersion, flow experiences participation platforms. Perceived enjoyment emerges as critical driver participation. This provides convincing empirical evidence drivers specific experiences, going beyond current context, mainly at conceptual level. The findings provide actionable insights for practitioners enhance engagement.

Language: Английский

Citations

5

Understanding the effects of live streamers’ appearance and abilities in shaping consumer purchase: A cross-cultural empirical research DOI

Zerong Wang,

Zeen Wang,

Denisa Rinprasertmeechai

et al.

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 81, P. 104031 - 104031

Published: Aug. 7, 2024

Language: Английский

Citations

5

Exploring purchase intention in metaverse retailing: Insights from an automotive platform DOI Creative Commons

Haowei Zhang,

Yang Lv, Zuopeng Zhang

et al.

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 82, P. 104144 - 104144

Published: Nov. 2, 2024

Language: Английский

Citations

4

Identifying the metaverse value recipe(s) affecting customer engagement and well-being in retailing DOI Creative Commons
Gaganpreet Singh, Sanjit Kumar Roy, Chrysostomos Apostolidis

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 210, P. 123870 - 123870

Published: Nov. 12, 2024

Language: Английский

Citations

4

I am too young for this! A moderated-mediation model of metaverse commerce resistance DOI
Keng‐Boon Ooi, Jun-Jie Hew, Eugene Cheng-Xi Aw

et al.

Journal of Retailing and Consumer Services, Journal Year: 2025, Volume and Issue: 84, P. 104224 - 104224

Published: Jan. 7, 2025

Language: Английский

Citations

0