The frequent launch of new product upgrades and the explosion of online user reviews have profoundly impacted consumer purchase behavior in various product categories, especially digital ones. This research examines how the rapid innovation and frequent updates in digital product categories (such as fitness wearables) influence consumer demand and sales of new product generations varying in feature intensity and update frequency. Through a mixed-method approach, this study reveals that consumer feedback and expert feedback polarities differentially impact sales, and these effects are amplified for more complex, rapidly updated products. The results provide empirical validation for key premises argued in the literature that user-generated content helps overcome information asymmetry, but also introduce contingencies based on product characteristics. This study contributes unique evidence substantiating the strategic value of online opinions and interest metrics in an omnichannel context. The findings offer actionable guidance for marketers to leverage consumer insights and tailor digital product positioning amidst information overload.

中文翻译：

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超越选择：检查多代信息密集型数字产品的动态消费者偏好

新产品升级的频繁推出以及在线用户评论的爆发深刻地影响了消费者对各个产品类别尤其是数字产品的购买行为。本研究探讨了数字产品类别（例如健身可穿戴设备）的快速创新和频繁更新如何影响功能强度和更新频率各异的新产品的消费者需求和销售。通过混合方法，本研究揭示了消费者反馈和专家反馈的极性对销售的影响存在差异，并且对于更复杂、快速更新的产品，这些影响会被放大。结果为文献中提出的关键前提提供了实证验证，即用户生成的内容有助于克服信息不对称，但也引入了基于产品特性的意外情况。这项研究提供了独特的证据，证实了全渠道背景下在线意见和兴趣指标的战略价值。研究结果为营销人员在信息过载的情况下利用消费者洞察并定制数字产品定位提供了可行的指导。