{"title":"Exploring determinants influencing artificial intelligence adoption, reference to diffusion of innovation theory","authors":"Priyadarsini Patnaik , Mahmoud Bakkar","doi":"10.1016/j.techsoc.2024.102750","DOIUrl":null,"url":null,"abstract":"<div><div>An organization's ability to accept innovation heavily depends on its leadership caliber. Although leadership is known to affect all three stages of adoption (initiation, adoption, and routinization), literature has yet to examine the specific leadership components that contribute to each of these phases. Drawing from existing literature on transformational leadership and AI adoption, this article examines how transformational leadership can facilitate the successful implementation of AI technologies. This paper explores the intersection of transformational leadership and artificial intelligence (AI) adoption within organizations. This study used data from 250 companies to develop and evaluate a framework combining the Diffusion of Innovation (DOI) theory with transformational leadership (TL). The results were analyzed using structural equation modeling (SEM) techniques. The study examined the determinants influencing the adoption of AI as a new technology. This study found TL is a crucial driver of adoption, whereas elements like vision and intellectual stimulation are essential for the Intention to adopt. Also, this research indicates that adopting a significant innovation like AI is intricately linked to leaders' vision and ability to respect and recognize the feelings and needs of others (both indicators of offering individual assistance). Additionally, practical implications and recommendations for leaders are provided to navigate the complex landscape of AI adoption.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102750"},"PeriodicalIF":10.1000,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technology in Society","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0160791X24002987","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL ISSUES","Score":null,"Total":0}
引用次数: 0
Abstract
An organization's ability to accept innovation heavily depends on its leadership caliber. Although leadership is known to affect all three stages of adoption (initiation, adoption, and routinization), literature has yet to examine the specific leadership components that contribute to each of these phases. Drawing from existing literature on transformational leadership and AI adoption, this article examines how transformational leadership can facilitate the successful implementation of AI technologies. This paper explores the intersection of transformational leadership and artificial intelligence (AI) adoption within organizations. This study used data from 250 companies to develop and evaluate a framework combining the Diffusion of Innovation (DOI) theory with transformational leadership (TL). The results were analyzed using structural equation modeling (SEM) techniques. The study examined the determinants influencing the adoption of AI as a new technology. This study found TL is a crucial driver of adoption, whereas elements like vision and intellectual stimulation are essential for the Intention to adopt. Also, this research indicates that adopting a significant innovation like AI is intricately linked to leaders' vision and ability to respect and recognize the feelings and needs of others (both indicators of offering individual assistance). Additionally, practical implications and recommendations for leaders are provided to navigate the complex landscape of AI adoption.
期刊介绍:
Technology in Society is a global journal dedicated to fostering discourse at the crossroads of technological change and the social, economic, business, and philosophical transformation of our world. The journal aims to provide scholarly contributions that empower decision-makers to thoughtfully and intentionally navigate the decisions shaping this dynamic landscape. A common thread across these fields is the role of technology in society, influencing economic, political, and cultural dynamics. Scholarly work in Technology in Society delves into the social forces shaping technological decisions and the societal choices regarding technology use. This encompasses scholarly and theoretical approaches (history and philosophy of science and technology, technology forecasting, economic growth, and policy, ethics), applied approaches (business innovation, technology management, legal and engineering), and developmental perspectives (technology transfer, technology assessment, and economic development). Detailed information about the journal's aims and scope on specific topics can be found in Technology in Society Briefings, accessible via our Special Issues and Article Collections.