{"title":"Faith in metaverse: understanding adoption intentions of metaverse amongst the Muslim students","authors":"Mohd Azhar, Ruksar Ali, Ariba Naz, Sujood Sujood","doi":"10.1108/jima-01-2024-0051","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>The purpose of this study is to investigate the antecedents of metaverse adoption intention amongst Muslim students by expanding the technology acceptance model (TAM) to incorporate factors viz. perceived cyber risk (PCR), perceived enjoyment (PE), personal innovativeness in IT (PIT), self-efficacy (SE), trust (TR) and religiosity (RL).</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>An online survey was circulated using a Google questionnaire to gather information on the study constructs. Purposive and snowball sampling techniques were adopted to reach the targeted students. The proposed associations were examined through the application of structural equation modelling with the use of AMOS software.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>The findings suggest that the empirical results derived from the study present a compelling and effective model, and the model is designed to elucidate the intentions of Indian Muslim students regarding their willingness to embrace or adopt the metaverse. The research has identified and showcased a robust conceptual framework that provides insights into the factors influencing the metaverse adoption intentions among Muslim students.</p><!--/ Abstract__block -->\n<h3>Research limitations/implications</h3>\n<p>This research adds value to the existing literature by expanding the understanding of metaverse adoption amongst Muslim students. This thorough framework offers an intricate comprehension of metaverse adoption, offering a theoretical framework beyond traditional technological determinants. This study provides important insights that can assist educationists, administrators and policymakers in various ways in chalking out essential strategies, policies and programmes related to metaverse adoption amongst Muslim students.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>This study is unique as the six additional constructs, viz. PCR, PE, PIT, SE, TR and RL, are included in the original TAM model, thus filling the literature gap. It also augments the comprehension of the metaverse and unfolds the antecedents of metaverse adoption intention amongst Muslim societies through the lens of students.</p><!--/ Abstract__block -->","PeriodicalId":47761,"journal":{"name":"Journal of Islamic Marketing","volume":"103 1","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Islamic Marketing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jima-01-2024-0051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
The purpose of this study is to investigate the antecedents of metaverse adoption intention amongst Muslim students by expanding the technology acceptance model (TAM) to incorporate factors viz. perceived cyber risk (PCR), perceived enjoyment (PE), personal innovativeness in IT (PIT), self-efficacy (SE), trust (TR) and religiosity (RL).
Design/methodology/approach
An online survey was circulated using a Google questionnaire to gather information on the study constructs. Purposive and snowball sampling techniques were adopted to reach the targeted students. The proposed associations were examined through the application of structural equation modelling with the use of AMOS software.
Findings
The findings suggest that the empirical results derived from the study present a compelling and effective model, and the model is designed to elucidate the intentions of Indian Muslim students regarding their willingness to embrace or adopt the metaverse. The research has identified and showcased a robust conceptual framework that provides insights into the factors influencing the metaverse adoption intentions among Muslim students.
Research limitations/implications
This research adds value to the existing literature by expanding the understanding of metaverse adoption amongst Muslim students. This thorough framework offers an intricate comprehension of metaverse adoption, offering a theoretical framework beyond traditional technological determinants. This study provides important insights that can assist educationists, administrators and policymakers in various ways in chalking out essential strategies, policies and programmes related to metaverse adoption amongst Muslim students.
Originality/value
This study is unique as the six additional constructs, viz. PCR, PE, PIT, SE, TR and RL, are included in the original TAM model, thus filling the literature gap. It also augments the comprehension of the metaverse and unfolds the antecedents of metaverse adoption intention amongst Muslim societies through the lens of students.
期刊介绍:
Launched in 2010, Journal of Islamic Marketing (JIMA) was the first journal dedicated to investigating Marketing’s relationship with Islam, in theory and practice, across Muslim majority and minority geographies. JIMA tackles the nuances associated with Muslim consumption patterns, doing business in Muslim markets, and targeting Muslim consumers. When considering the acronyms for the emerging economies to watch: in 2001 it was BRIC (Brazil, Russia, India, and China); and more recently in 2013 MINT (Mexico, Indonesia, Nigeria, Turkey), and CIVETS (Columbia, Indonesia, Vietnam, Egypt, Turkey and South Africa) – then it is apparent that economies with large Muslim populations are growing in importance. One quarter of the world''s population are Muslim, with well over half of Muslims today under the age of 25 - which prompted Miles Young, Global CEO of Ogilvy, to assert that Muslims are the "third one billion", following interest in Indian and Chinese billions, in terms of market opportunities.