对移动网络服务提供商的utaut-2模型影响因素进行优先排序

Q3 Business, Management and Accounting
Ishani Patharia, Anjana Pandey, Sanjay Gupta
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引用次数: 2

摘要

技术发展对用户行为有重大影响。快速发展的通信系统和技术为人们提供了许多选择。通信网络时代的不断变化给移动网络服务提供商吸引和留住客户带来了挑战。本研究旨在使用技术接受和使用的统一理论(UTAUT-2),对采用移动网络服务提供商的决定因素进行优先排序。在这项研究中,数据来自印度哈里亚纳邦的660名手机用户。应用模糊层次分析法(F-AHP),根据因素在解释移动网络服务提供商采用情况中的重要性,对因素进行优先级或排序。研究结果表明,努力预期是采用移动网络服务提供商的最高排名和优先因素,其次是绩效预期和便利条件。然而,社会影响是最不重要的因素。本研究通过综合和优先考虑影响技术接受的重要因素,为未来的研究人员提供了理论启示。实践意义为营销人员制定有针对性的务实策略以保持客户忠诚度提供了更清晰的见解。该研究只考虑了UTAUT-2模型的构建,并使用了F-AHP技术。在未来的研究中可能会考虑其他因素。其他优先级分析技术也可以用于进一步研究,例如ISM和MICMAC分析。这项研究是在印度哈里亚纳邦进行的,因此,需要在其他地区/国家进行测试,以确定其可推广性。JEL分类:O1、O2、O4
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prioritizing the influencing factors of utaut-2 model toward mobile network service providers
Technological developments have a major impact on user behavior. The rapidly evolving communication system and technology have provided numerous choices for people. The ever-shifting changes in the generation of communication networks have posed challenges for mobile network service providers to attract and retain customers. This study aims to prioritize the determinants of the adoption of mobile network service providers using the unified theory of acceptance and use of technology (UTAUT-2). In this study, data were collected from 660 mobile phone users in Haryana, India. A fuzzy analytical hierarchy process (F-AHP) was applied to arrange the priority or rank the factors based on the significance of the factors in explaining the adoption of mobile network service providers. Results of the study reveal that efforts expectancy is the highest-ranked and prioritized factor for the adoption of mobile network service providers followed by performance expectancy and facilitating conditions. However, social influence emerged as the least important factor. The present study provides theoretical implications for future researchers by synthesizing and prioritizing the important factors affecting technology acceptance. The practical implications offer a clearer insight to marketers for developing focused pragmatic strategies to retain customer loyalty. The study has considered only UTAUT-2 model constructs and used the F-AHP technique. Other factors may be considered in future studies. Other priority analysis techniques can also be used such as ISM and MICMAC analysis for further study. The research has been conducted in Haryana, India, and therefore, it needs to be tested in other areas/countries for generalizability. JEL Classification: O1, O2, O4
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来源期刊
Competition and Regulation in Network Industries
Competition and Regulation in Network Industries Business, Management and Accounting-Business, Management and Accounting (all)
CiteScore
1.70
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14
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