This article researches factors that influence price fairness judgments. The empirical literature suggests several factors: reference prices, the costs of the seller, a self-interest bias, and the perceived motive of sellers. Using a Dutch sample, we find empirical evidence that these factors significantly affect perceptions of fair prices. In addition, we find that the perceived fairness of prices is also influenced by other distributional concerns that are independent of the transaction. In particular, price increases are judged to be fairer if they benefit poor people or small organizations rather than rich people or big organizations.
This literature study reviews 300 academic publications on digital matching platforms, SME business transfers and the underlying drivers for success in matching and business transfers. How to build digital trust, how to select partners digitally and how to predict survival of digital matching platforms themselves? The outcomes are input to improve digitale matching of sellers and buyers of SME business transfers in Europe.
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This study focuses on the transfer process and the importance of human capital and succession planning as firm resource from the seller’s perspective. It further differentiates amongst two types of human capital - specific and generic - to predict the transfer duration, obtained price and satisfaction with the transfer. A representative dataset of 112 Dutch small firm owners, who sold their firm in 2005 and 2006, is analyzed. Hierarchical multiple regressions show that specific human capital, like flexibility, social skills and market awareness predict transfer performance better than generic human capital like general education. Results also indicate that succession planning in business transfers is unrelated to the objective transfer performance indicators transfer duration and obtained price. Succession planning is strongly related to the subjective transfer performance indicator satisfaction. Results also show that familiarity between seller and buyer rather than kinship or family ties is a key predictor for all transfer performance indicators.
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