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Adoption of technology-based services: the role of customers' willingness to co-create

机译:采用基于技术的服务:客户共同创造意愿的作用

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Purpose - The purpose of this paper is to develop and empirically evaluate an adoption model for technology-based services (TBS) that integrates a customer's willingness to co-create (WCC) as mediator complementing the well-known individual differences and innovation characteristics in predicting customer adoption of TBS. Design/methodology/approach - The manuscript uses structural equation modeling to analyze survey data from two empirical studies (n = 781 and n = 181). Findings - The empirical results show that WCC represents a key mediator between established antecedent predictors (innovation characteristics and individual differences) and the likelihood of TBS adoption. Additionally, the analysis reveals that WCC can even better explain and predict adoption intention of TBS than the commonly used individual differences and innovation characteristics. Finally, the results also suggest that a lack of customers' WCC may help to explain persuasion-decision discrepancies within TBS adoption. Research limitations/implications - As the data of this manuscript pertains to the mobile apps market, future research might test the modified technology adoption model in other TBS contexts as well. While the studies used cross-sectional data, it would be interesting to assess the differential influence of WCC across the stages in the adoption process using longitudinal data. Practical implications - The findings on WCC provide managers with a new set of factors (apart from known antecedent predictors like individual differences and innovation characteristics) to optimize TBS adoption. Originality/value - This manuscript is the first to examine an adoption model for TBS that integrates a customer's WCC. Furthermore, the findings provide first empirical evidence that WCC can help to explain persuasion-decision discrepancies within TBS adoption.
机译:目的-本文的目的是开发和凭经验评估基于技术的服务(TBS)的采用模型,该模型整合了客户的共同创造意愿(WCC)作为中介,补充了预测中众所周知的个体差异和创新特征客户采用TBS。设计/方法/方法-手稿使用结构方程模型来分析来自两个经验研究(n = 781和n = 181)的调查数据。研究结果-实证结果表明,WCC代表着既定的先行预测因素(创新特征和个体差异)与采用TBS的可能性之间的关键中介。此外,分析表明,与常用的个人差异和创新特征相比,WCC甚至可以更好地解释和预测TBS的采用意图。最后,结果还表明,缺乏客户的WCC可能有助于解释在TBS采用过程中的说服决策差异。研究局限性/含义-由于本手稿的数据与移动应用市场有关,因此未来的研究可能还会在其他TBS上下文中测试修改后的技术采用模型。尽管研究使用横截面数据,但使用纵向数据评估WCC在采用过程中各个阶段的差异影响将是有趣的。实际意义-有关WCC的调查结果为管理人员提供了一组新的因素(除了已知的先行预测因素(例如个体差异和创新特征)之外),以优化TBS的采用。原创性/价值-该手稿是第一个研究集成了客户WCC的TBS采用模型的手稿。此外,这些发现提供了第一个经验证据,即WCC可以帮助解释在采用TBS方面的说服决策差异。

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