Examining explorative and exploitative uses of smartphones: a user competence perspective

能力(人力资源) 知识管理 技术接受模型 独创性 心理学 结构方程建模 现存分类群 计算机科学 可用性 人机交互 社会心理学 机器学习 进化生物学 创造力 生物
作者
Chulmo Koo,Namho Chung,Hee‐Woong Kim
出处
期刊:Information Technology & People [Emerald Publishing Limited]
卷期号:28 (1): 133-162 被引量:61
标识
DOI:10.1108/itp-04-2013-0063
摘要

Purpose – The purpose of this paper is to investigate the effects of user competence on two different usage variables related to information systems (IS) infusion: explorative use and exploitative use. Design/methodology/approach – Structural equation modeling is used to construct a predictive model of user competence toward IS infusion. Individuals’ responses to questions about attitude and intention to use smartphone were collected and analyzed. Findings – The results showed that all first-order factors of user competence were significantly linked to the second-order factor. User competence is then significantly related to IS infusion, both explorative use and exploitative use. Research limitations/implications – This study discusses individual usage behavior related to IS infusion usage. The authors conceptualized that exploitative use is different from explorative use. The findings in this study suggest that user competence must be included in IS usage models, especially IS infusion model. Practical implications – The results associated with exploitation are more certain and closer in time, while those associated with exploration are more variable. That is, users are likely to innovate through their smart devices related to IS infusion. Smartphone developers and the relevant service providers should decide which factors are more important along the stages of the information technology implementation process. As indicated in this study, knowledge-based user competence together with perceived usefulness influences the usage behavior of smartphone users. Industry players need to consider user competence when they promote their smartphone services. Originality/value – The proposed model brings together extant research on IS use and technology acceptance.
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