This research examines the influence of numerical precision on consumer evaluations of technology products. We posit that when an attribute of a technology product is unfamiliar (vs. familiar), numerical precision of the attribute information (e.g., Galaxy Fold’s folding durability of 54,986 times vs. 55,000 times) increases the willingness to purchase the product. This occurs because numerical precision induces inferences that the attribute is highly calibrated, which, in turn, increases perceived reliability of the technology. However, this precision effect attenuates when the unfamiliar attribute is non-performance-related (vs. performance-related). Four studies using a variety of products and operationalizations of both numerical precision and attribute calibration perception provide converging evidence for the proposed effect and underlying mechanism. Theoretical and managerial implications are discussed.

中文翻译：

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数值精度效应：属性信息的精度如何影响技术产品的采用

本研究考察了数值精度对消费者对技术产品的评价的影响。我们假设，当技术产品的属性不熟悉（相对于熟悉）时，属性信息的数值精度（例如 Galaxy Fold 的 54,986 次对 55,000 次的折叠耐久性）会增加购买该产品的意愿。发生这种情况是因为数值精度会导致推断该属性是高度校准的，这反过来又增加了技术的感知可靠性。但是，当不熟悉的属性与性能无关（相对于性能相关）时，这种精确度效果会减弱。四项研究使用了各种产品以及数值精度和属性校准感知的可操作化，为所提出的效果和潜在机制提供了趋同的证据。讨论了理论和管理影响。