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Much sensory research focuses on an initial analysis of sensory descriptor data followed by a principal component analysis (PCA) of the sensory descriptors. This paper illustrates an alternative approach of conducting PCA and then applying analysis of variance (ANOVA) to the extracted principal components. The approach is applied to data from a case study quantifying the sensory characteristics of a sous vide vegetable product during storage. In the case study, 11 out of 18 descriptors were significantly influenced by product. Using the alternative approach, however, three out of six principal components were significantly influenced by product. The alternative approach, therefore, provided a more concise presentation of results and one that was consistent with the analysis of the original descriptors. It is hoped that this approach could improve interpretation and subsequent communication of sensory profiling results and help to bridge the gap between core and wider product development activities.

Research has called for increased relevance of business reporting. A step towards that goal is an increased disclosure of non‐financial information. At the present time, non‐financial information is mostly provided on a voluntary basis.

Valuation relevance of non‐financial information is studied by examining the information content of 200 analyst reports written on a respective number of firms listed in the S&P 500 index, while simultaneously performing a disclosure study of non‐financial information by the same 200 firms in their annual reports.

We found the valuation relevance of non‐financial information to be related to the size of the target firm. Further, analysts’ use of non‐financial information is related to the level of non‐financial information in the 10‐k report of the target firm. Finally, analysts tend to rely more heavily on forward‐looking non‐financial information than on historical non‐financial information.

The findings in this paper have implications for policy makers, preparers of business reporting, and others having to make judgments on information usefulness.

This study looks at the valuation relevance of non‐financial information, as opposed to earlier studies that have judged the usefulness of non‐financial information by measuring its value relevance. Information is regarded to have valuation relevance if it is used by analysts in the valuation process. Hence, valuation relevance offers an alternative way of measuring information usefulness.

This chapter conducts a systematic comparison of behavioral economics’s challenges to the standard accounts of economic behaviors within three dimensions: under risk, over time, and regarding other people. A new perspective on two underlying methodological issues, i.e., inter-disciplinarity and the positive/normative distinction, is proposed by following the entanglement thesis of Hilary Putnam, Vivian Walsh, and Amartya Sen. This thesis holds that facts, values, and conventions have inter-dependent meanings in science which can be understood by scrutinizing formal and ordinary language uses. The goal is to provide a broad and self-contained picture of how behavioral economics is changing the mainstream of economics.