Risk as a Predictor of Online Competitive Information Acquisition

Q2 Social Sciences
D. Raban, Lior Koren
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引用次数: 2

Abstract

Abstract This study set out to investigate how personal user traits and behavior and information cues influence the acquisition of online information for actionable decisions. The relationship between personal traits (risk propensity and individual information absorptive capacity), behavioral factors (perceived risk and willingness-to-pay) and informational cues (scenario risk level) was examined by conducting an experiment with 125 mid-level managers. Participants were exposed to high- and low-risk scenarios, given the opportunity to consume free and fee-based competitive information sources, and asked to make a managerial decision. Results of the Willingness-to-Pay (WTP) for information sources indicate: (i) a significant correlation between the perceived risk and WTP, (ii) a significant correlation between the perceived risk and the number of competitive intelligence information items bought, (iii) individual absorptive capacity has high internal reliability, and (iv) investment risk propensity and individual information absorptive capacity did not influence WTP or willingness-to-consume competitive intelligence information. Informational cues rather than personal traits impact decision makers' WTP and willingness to-consume competitive intelligence information. This suggests that best practices should be developed for the use of online information sources in decision-making calibrated to the risk level. Risk level indication may also aid to avoid biases stemming from under- or overuse of information.
风险作为在线竞争信息获取的预测因子
摘要本研究旨在探讨个人用户特征、行为和信息线索如何影响可操作决策的在线信息获取。通过对125名中层管理人员的实验,考察了个人特征(风险倾向和个人信息吸收能力)、行为因素(感知风险和支付意愿)和信息线索(情景风险水平)之间的关系。参与者被暴露在高风险和低风险的场景中,有机会消费免费和收费的竞争性信息源,并被要求做出管理决策。信息源的支付意愿(WTP)结果表明:(i)感知风险与WTP之间存在显著相关,(ii)感知风险与购买的竞争情报信息项目数量之间存在显著相关,(iii)个人吸收能力具有较高的内部信度,(iv)投资风险倾向和个人信息吸收能力不影响WTP或消费竞争情报信息的意愿。信息线索而不是个人特征影响决策者的WTP和消费竞争情报信息的意愿。这表明,应该制定最佳做法,以便在根据风险水平进行调整的决策中使用在线信息源。风险水平指示也有助于避免因信息使用不足或过度而产生的偏差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Open Information Science
Open Information Science Social Sciences-Library and Information Sciences
CiteScore
1.40
自引率
0.00%
发文量
7
审稿时长
8 weeks
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