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Modeling the determinants of consumers' attitudes toward online group buying: Do risks and trusts matters?

机译:模拟决定消费者对在线团购态度的决定因素:风险和信任重要吗?

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The aim of this research is to investigate the determinants of consumers' attitude towards online group buying (OGB). Furthermore, this study compares male and female shoppers based on their purchasing behavior in OGB. Partial Least Square-Structural Equation Modeling (PLS-SEM) approach supported by Smart-PLS 2.0 was used for data analysis as it avoids biases in the parameter estimation in regression analysis. A PLS-SEM approach revealed that website trustworthiness was the strongest predictor of consumers' attitude towards OGB. Consumers noted that the site of initiator appeals to be more trustworthy than other sites and delivers every promise made. Indeed, they felt trusted for their group buying on the Internet when clear legal privacy statements including guarantees are available on the websites. They were assured that initiator's protective measures for online payment are secured. The reliability and validity of the measurement items used and collection of data via survey questionnaires clearly confirmed the robustness of the research methodology applied which led to the creation of reliable and valid discoveries. Online retail managers should improve their transaction security mechanisms and Internet technology to dwindle consumers' perceived risks in terms of financial, product and time risks, strengthen their trusts, and grow online trading confidence when executing OGB. With sufficient knowledge of network group-buying platform, customers would develop more trust to the security of online group-buying platform which lessen the risk cost thereafter. The viable quantitative empirical results transport new and substantial ideas into the marketing model as it systematically and precisely investigates the significant factors and adds to the emergent works around consumer OGB behavior.
机译:这项研究的目的是调查决定消费者对在线团购(OGB)态度的决定因素。此外,本研究基于男性和女性购物者在OGB中的购买行为进行了比较。 Smart-PLS 2.0支持的偏最小二乘结构方程模型(PLS-SEM)方法用于数据分析,因为它避免了回归分析中参数估计的偏差。 PLS-SEM方法显示,网站可信度是消费者对OGB态度的最强预测指标。消费者指出,发起者的网站比其他网站更具可信度,并兑现了所有承诺。的确,当网站上提供明确的法律隐私声明(包括担保)时,他们对于在Internet上的团购感到信任。他们得到保证,可以保证发起人的在线支付保护措施。所使用的测量项目的可靠性和有效性以及通过调查问卷收集的数据清楚地证实了所应用研究方法的稳健性,从而导致了可靠和有效发现的产生。在线零售经理应改进其交易安全机制和互联网技术,以减少消费者在财务,产品和时间风险方面的感知风险,增强他们的信任度,并在执行OGB时增强在线交易的信心。有了足够的网络团购平台知识,客户就会对在线团购平台的安全性产生更多的信任,从而降低其后的风险成本。可行的定量经验结果将新的实质性思想带入营销模型,因为它可以系统地,精确地调查重要因素,并增加了围绕消费者OGB行为的新兴工作。

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