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<!DOCTYPE html> <html lang="en"> <head><script type='text/javascript' src='//cdnjs.cloudflare.com/ajax/libs/yui/3.6.0/yui/yui-min.js'></script><script type='text/javascript' src='//ajax.googleapis.com/ajax/libs/jquery/1.10.2/jquery.min.js'></script><script type='text/javascript' src='https://assets.adobedtm.com/4a848ae9611a/d0e96722185b/launch-d525bb0064d8.min.js'></script><script type='text/javascript' src=/assets/nr_browser_production.js></script>  <meta charset="utf-8"> <meta name="viewport" content="width=device-width"> <title> "Seeing Through the Mystique Surrounding the Task-Technology-Organizati" by Eden Samuel Parthiban and Mohd Adil </title>  <meta itemprop="name" content="Seeing Through the Mystique Surrounding the Task-Technology-Organization Fit: A Mixed-Method Exploration of Consumers’ Intention to Use Banking Conversational Agents"> <meta property="og:title" content="Seeing Through the Mystique Surrounding the Task-Technology-Organization Fit: A Mixed-Method Exploration of Consumers’ Intention to Use Banking Conversational Agents"> <meta name="twitter:title" content="Seeing Through the Mystique Surrounding the Task-Technology-Organization Fit: A Mixed-Method Exploration of Consumers’ Intention to Use Banking Conversational Agents"> <meta property="article:author" content="Eden Samuel Parthiban"> <meta name="author" content="Eden Samuel Parthiban"> <meta property="article:author" content="Mohd Adil"> <meta name="author" content="Mohd Adil"> <meta name="robots" content="noodp, noydir"> <meta name="description" content="AI-based Conversational Agents play a pivotal role in reshaping industries through automation and information exchange. Despite their prominence, gaps persist in tailoring CAs for optimal integration into businesses and society. Our study addresses this gap, focusing on CAs in banking, a crucial sector at the forefront of technological adoption. Through a mixed-method approach, combining scientometric techniques, Partial Least Squares Structural Equation Modeling, Necessary Condition Analysis, and Importance-Performance Mapping Analysis, we aim to understand the fit between banking CAs and consumer needs, by classifying, investigating, and isolating the necessary and important influencing elements contributing to the fit. The findings suggest that although three distinct factors relating to the individual (user), organization (banks), and system (CAs) play a role in the aforesaid integration, only organizational and systemic factors are crucial. Accordingly, our research contributes to information systems understanding and offers practical insights for stakeholders navigating the intricate dynamics of human-computer interaction."> <meta itemprop="description" content="AI-based Conversational Agents play a pivotal role in reshaping industries through automation and information exchange. Despite their prominence, gaps persist in tailoring CAs for optimal integration into businesses and society. Our study addresses this gap, focusing on CAs in banking, a crucial sector at the forefront of technological adoption. Through a mixed-method approach, combining scientometric techniques, Partial Least Squares Structural Equation Modeling, Necessary Condition Analysis, and Importance-Performance Mapping Analysis, we aim to understand the fit between banking CAs and consumer needs, by classifying, investigating, and isolating the necessary and important influencing elements contributing to the fit. The findings suggest that although three distinct factors relating to the individual (user), organization (banks), and system (CAs) play a role in the aforesaid integration, only organizational and systemic factors are crucial. Accordingly, our research contributes to information systems understanding and offers practical insights for stakeholders navigating the intricate dynamics of human-computer interaction."> <meta name="twitter:description" content="AI-based Conversational Agents play a pivotal role in reshaping industries through automation and information exchange. Despite their prominence, gaps persist in tailoring CAs for optimal integration into businesses and society. Our study addresses this gap, focusing on CAs in banking, a crucial sector at the forefront of technological adoption. Through a mixed-method approach, combining scientometric techniques, Partial Least Squares Structural Equation Modeling, Necessary Condition Analysis, and Importance-Performance Mapping Analysis, we aim to understand the fit between banking CAs and consumer needs, by classifying, investigating, and isolating the necessary and important influencing elements contributing to the fit. The findings suggest that although three distinct factors relating to the individual (user), organization (banks), and system (CAs) play a role in the aforesaid integration, only organizational and systemic factors are crucial. Accordingly, our research contributes to information systems understanding and offers practical insights for stakeholders navigating the intricate dynamics of human-computer interaction."> <meta property="og:description" content="AI-based Conversational Agents play a pivotal role in reshaping industries through automation and information exchange. Despite their prominence, gaps persist in tailoring CAs for optimal integration into businesses and society. Our study addresses this gap, focusing on CAs in banking, a crucial sector at the forefront of technological adoption. Through a mixed-method approach, combining scientometric techniques, Partial Least Squares Structural Equation Modeling, Necessary Condition Analysis, and Importance-Performance Mapping Analysis, we aim to understand the fit between banking CAs and consumer needs, by classifying, investigating, and isolating the necessary and important influencing elements contributing to the fit. The findings suggest that although three distinct factors relating to the individual (user), organization (banks), and system (CAs) play a role in the aforesaid integration, only organizational and systemic factors are crucial. Accordingly, our research contributes to information systems understanding and offers practical insights for stakeholders navigating the intricate dynamics of human-computer interaction."> <meta name="keywords" content="Banking Conversational Agents, Scientometrics, Necessary Condition Analysis, Importance Performance Analysis, Task-technology Fit, Network Externalities."> <meta name="bepress_citation_journal_title" content="Communications of the Association for Information Systems"> <meta name="bepress_citation_firstpage" content="395"> <meta name="bepress_citation_lastpage" content="433"> <meta name="bepress_citation_author" content="Parthiban, Eden Samuel"> <meta name="bepress_citation_author_institution" content="National Institute of Technology, Hamirpur, and Manipal University, Jaipur"> <meta name="bepress_citation_author" content="Adil, Mohd"> <meta name="bepress_citation_author_institution" content="National Institute of Technology, Hamirpur"> <meta 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class="clear"> </div>   <a href="https://aisel.aisnet.org/cais" > <img alt="Communications of the Association for Information Systems" style="height:auto;width:667px;" class="ignore" width='3524' height='907' src="/assets/md5images/7ae5a9f0db7e1b11ff05eacd8344aab6.png"> </a>   <script type="text/javascript" src="/assets/floatbox/floatbox.js"></script>     <div id="sub"> <div id="alpha"><div id='title' class='element'> <h1><a href='https://aisel.aisnet.org/cgi/viewcontent.cgi?article=4598&context=cais'>Seeing Through the Mystique Surrounding the Task-Technology-Organization Fit: A Mixed-Method Exploration of Consumers’ Intention to Use Banking Conversational Agents</a></h1> </div> <div class='clear'></div> <div id='authors' class='element'> <h2 class='visually-hidden'>Authors</h2> <p class="author"><a href='https://aisel.aisnet.org/do/search/?q=author%3A%22Eden%20Samuel%20Parthiban%22&start=0&context=509156'><strong>Eden Samuel Parthiban</strong>, <em>National Institute of Technology, Hamirpur, and Manipal University, Jaipur</em></a><br /> <a href='https://aisel.aisnet.org/do/search/?q=author%3A%22Mohd%20Adil%22&start=0&context=509156'><strong>Mohd Adil</strong>, <em>National Institute of Technology, Hamirpur</em></a><br /> </p></div> <div class='clear'></div> <div id='orcid' class='element'> <h2 class='field-heading'>Author ORCID Identifier</h2> <p>Eden Samuel Parthiban: https://orcid.org/0000-0003-2045-941X</p> <p>Mohd Adil: https://orcid.org/0000-0003-3907-0666<strong><br /></strong></p> </div> <div class='clear'></div> <div id='abstract' class='element'> <h2 class='field-heading'>Abstract</h2> <p>AI-based Conversational Agents play a pivotal role in reshaping industries through automation and information exchange. Despite their prominence, gaps persist in tailoring CAs for optimal integration into businesses and society. Our study addresses this gap, focusing on CAs in banking, a crucial sector at the forefront of technological adoption. Through a mixed-method approach, combining scientometric techniques, Partial Least Squares Structural Equation Modeling, Necessary Condition Analysis, and Importance-Performance Mapping Analysis, we aim to understand the fit between banking CAs and consumer needs, by classifying, investigating, and isolating the necessary and important influencing elements contributing to the fit. The findings suggest that although three distinct factors relating to the individual (user), organization (banks), and system (CAs) play a role in the aforesaid integration, only organizational and systemic factors are crucial. Accordingly, our research contributes to information systems understanding and offers practical insights for stakeholders navigating the intricate dynamics of human-computer interaction.</p> </div> <div class='clear'></div> <div id='doi' class='element'> <h2 class='field-heading'>DOI</h2> <p>10.17705/1CAIS.05516</p> </div> <div class='clear'></div> <div id='recommended_citation' class='element'> <h2 class='field-heading'>Recommended Citation</h2>  <p> Parthiban, E. S., & Adil, M. (2024). Seeing Through the Mystique Surrounding the Task-Technology-Organization Fit: A Mixed-Method Exploration of Consumers’ Intention to Use Banking Conversational Agents. Communications of the Association for Information Systems, 55, 395-433. <a href="https://doi.org/10.17705/1CAIS.05516" >https://doi.org/10.17705/1CAIS.05516</a> </p> </div> <div class='clear'></div> </div> </div> <div id='beta_7-3'>     <div class="aside download-button"> <a id="pdf" class="btn" href="https://aisel.aisnet.org/cgi/viewcontent.cgi?article=4598&context=cais" title="PDF (1.5 MB) opens in new window" target="_blank" > <i class="icon-download-alt" aria-hidden="true"></i> Download </a> </div>         <div id="article-stats" class="aside hidden"> <p class="article-downloads-wrapper hidden"><span id="article-downloads"></span> DOWNLOADS</p> <p class="article-stats-date hidden">Since September 03, 2024</p> <p class="article-plum-metrics"> <a href="https://plu.mx/plum/a/?repo_url=https://aisel.aisnet.org/cais/vol55/iss1/17" class="plumx-plum-print-popup plum-bigben-theme" data-badge="true" data-hide-when-empty="true" ></a> </p> </div> <script type="text/javascript" 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