A prospect theory-based analysis of housing satisfaction with relocations: Field evidence from China

Yan, Jinhai; Bao, Helen X. H.

doi:10.1016/j.cities.2018.06.022

Cited by 26 publications

(9 citation statements)

References 85 publications

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“…Since most studies on evaluability have been conducted in the laboratory, our field study is relatively unique in showing its effects on consumer satisfaction in real life [54,78]. Hence, our findings have implications for consumer product manufacturers, at least in the case of mobile phones.…”

Section: Discussionmentioning

confidence: 91%

“…Expectations can be either holistic-those which refer to the product as a whole-or differentiated-those referring to product attributes. An example of the use of holistic expectations is by Yan and Bao [54], who studied dwellers' opinions about housing after their relocation as a global evaluation. Worse-than-expected outcomes had a larger negative effect on housing satisfaction than the positive effects of better-than-expected outcomes, thus indicating an asymmetry of valence gains and valence losses.…”

Section: Satisfaction and Loss Aversionmentioning

confidence: 99%

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Product Attributes, Evaluability, and Consumer Satisfaction

Antonides

Hovestadt

2021

Sustainability

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We studied the determinants of consumer satisfaction with mobile phones on the basis of their perceived product attribute performance, and the disconfirmation of product attribute expectations. Disconfirmation refers to the discrepancy between the prior expectation about the performance of a product’s attributes, and its perceives realizations after purchase. Evaluability theory assumes that the perceived attribute performance has a larger effect on consumer satisfaction for easy-to-evaluate than for difficult-to-evaluate attributes, after product acquisition. Furthermore, we used predictions of the asymmetric evaluations of gains (product performs better than expected) and losses (product performs worse than expected) from prospect theory, in combination with evaluability theory. We studied how evaluability influences the effects of the asymmetric evaluations of both positive and negative disconfirmation of product attribute expectations on consumer satisfaction. Our empirical study included 3099 participants of Amazon Mechanical Turk. We found that negative attribute disconfirmation had a larger effect on satisfaction than positive attribute disconfirmation, which is in line with loss aversion theory. Although the perceived product attribute performance positively influenced satisfaction, we found little support for the effects of perceived attribute performance being influenced by attribute evaluability. However, our findings indicated that negative attribute disconfirmation influenced satisfaction to a greater extent for relatively difficult-to-evaluate attributes than for relatively easy-to-evaluate attributes. We discuss both theoretical and managerial implications of our findings.

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Section: Discussionmentioning

confidence: 91%

Section: Satisfaction and Loss Aversionmentioning

confidence: 99%

Product Attributes, Evaluability, and Consumer Satisfaction

Antonides

Hovestadt

2021

Sustainability

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“…Therefore, the built environment of Xiamen is highly unbalanced and complex, making it ideal for this type of research. Many studies on the residents' sentiments and lives focused on tourism and housing have been conducted in Xiamen (70,75,76). We used the 2018 land-use map of Xiamen City to select the high-grade and medium-grade residential land (Code R1 and R2) and urban villages (Code R3) for this research (Figure 2).…”

Section: Study Areamentioning

confidence: 99%

Does the built environment of settlements affect our sentiments? A multi-level and non-linear analysis of Xiamen, China, using social media data

Fan

Gai²,

Li³

et al. 2023

Front. Public Health

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IntroductionHumans spend most of their time in settlements, and the built environment of settlements may affect the residents' sentiments. Research in this field is interdisciplinary, integrating urban planning and public health. However, it has been limited by the difficulty of quantifying subjective sentiments and the small sample size.MethodsThis study uses 147,613 Weibo text check-ins in Xiamen from 2017 to quantify residents' sentiments in 1,096 neighborhoods in the city. A multilevel regression model and gradient boosting decision tree (GBDT) model are used to investigate the multilevel and nonlinear effects of the built environment of neighborhoods and subdistricts on residents' sentiments.ResultsThe results show the following: (1) The multilevel regression model indicates that at the neighborhood level, a high land value, low plot ratio, low population density, and neighborhoods close to water are more likely to improve the residents' sentiments. At the subdistrict level, more green space and commercial land, less industry, higher building density and road density, and a smaller migrant population are more likely to promote positive sentiments. Approximately 19% of the total variance in the sentiments occurred among subdistricts. (2) The proportion of green space and commercial land, and the density of buildings and roads are linearly correlated with residents' sentiments. The land value is a basic need and exhibits a nonlinear correlation with sentiments. The plot ratio, population density, and the proportions of industrial land and the migrant population are advanced needs and are nonlinearly correlated with sentiments.DiscussionThe quantitative analysis of sentiments enables setting a threshold of the influence of the built environment on residents' sentiments in neighborhoods and surrounding areas. Our results provide data support for urban planning and implementing targeted measures to improve the living environment of residents.

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“…On the other hand, there is reference-dependency in the perception evaluation on the redevelopment results, meaning residents could choose different things as references for comparison [64]. In this situation, residents always consider their welfare level (before redevelopment) as a reference and evaluate the policy's implementation performance by comparing welfare change [65].…”

Section: Relation Between Different Redevelopment Modes and Satisfaction With Urban Village Redevelopmentmentioning

confidence: 99%

Blending Bottom-Up and Top-Down Urban Village Redevelopment Modes: Comparing Multidimensional Welfare Changes of Resettled Households in Wuhan, China

2020

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Urban village redevelopment has multidimensional impacts on resettled households. These impacts can reflect the sustainability of urban village redevelopment. This study empirically compares the gains and losses of the welfare in economic conditions, living conditions, natural environment, psychological conditions, and social security in bottom-up and top-down urban village redevelopment cases in Wuhan, China. The results show that a bottom-up redevelopment mode with participative residents caused negative effects in economic welfare but positive effects on living conditions, natural environment, and psychological condition, thus promoting higher comprehensive welfare and satisfaction. Top-down redevelopment led by the government provides villagers with shared dividends through collective economic reform and thus, contributes to gains in economic conditions and social security. However, top-down redevelopment with less participation of residents leads to welfare losses in living conditions, natural environment, and psychological conditions, which results in lower welfare and satisfaction levels overall. Therefore, a middle-out redevelopment mode with a combination of government efforts and public participation are proposed as a solution for sustainable urban redevelopment.

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A prospect theory-based analysis of housing satisfaction with relocations: Field evidence from China

Cited by 26 publications

References 85 publications

Product Attributes, Evaluability, and Consumer Satisfaction

Product Attributes, Evaluability, and Consumer Satisfaction

Does the built environment of settlements affect our sentiments? A multi-level and non-linear analysis of Xiamen, China, using social media data

Blending Bottom-Up and Top-Down Urban Village Redevelopment Modes: Comparing Multidimensional Welfare Changes of Resettled Households in Wuhan, China

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