Hyperopia and frugality: Different motivational drivers and yet similar effects on consumer spending

Pan, Li; Pezzuti, Todd; Lü, Wei; Pechmann, Cornelia

doi:10.1016/j.jbusres.2018.08.011

Cited by 25 publications

(12 citation statements)

References 28 publications

(68 reference statements)

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“…e differences between the green component and the other two components were calculated and then the color characteristics of the lawn were obtained by threshold treatment. e grass area is extracted from the image, and the binary image is achieved by threshold processing [9,10].…”

Section: Automatic Extraction Of Stadium Main Area Based On Histogrammentioning

confidence: 99%

[Retracted] Detection and Adaptive Video Processing of Hyperopia Scene in Sports Video

Qing-jie

Dong

2021

Complexity

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In the research of motion video, the existing target detection methods are susceptible to changes in the motion video scene and cannot accurately detect the motion state of the target. Moving target detection technology is an important branch of computer vision technology. Its function is to implement real-time monitoring, real-time video capture, and detection of objects in the target area and store information that users are interested in as an important basis for exercise. This article focuses on how to efficiently perform motion detection on real-time video. By introducing the mathematical model of image processing, the traditional motion detection algorithm is improved and the improved motion detection algorithm is implemented in the system. This article combines the advantages of the widely used frame difference method, target detection algorithm, and background difference method and introduces the moving object detection method combining these two algorithms. When using Gaussian mixture model for modeling, improve the parts with differences, and keep the unmatched Gaussian distribution so that the modeling effect is similar to the actual background; the binary image is obtained through the difference between frames and the threshold, and the motion change domain is extracted through mathematical morphological filtering, and finally, the moving target is detected. The experiment proved the following: when there are more motion states, the recall rate is slightly better than that of the VIBE algorithm. It decreased about 0.05 or so, but the relative accuracy rate increased by about 0.12, and the increase ratio is significantly higher than the decrease ratio. Departments need to adopt effective target extraction methods. In order to improve the accuracy of moving target detection, this paper studies the method of background model establishment and target extraction and proposes its own improvement.

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Section: Automatic Extraction Of Stadium Main Area Based On Histogrammentioning

confidence: 99%

[Retracted] Detection and Adaptive Video Processing of Hyperopia Scene in Sports Video

Qing-jie

Dong

2021

Complexity

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“…External factors include economic conditions, reinforcement, or discouragement by the individual's social and cultural environment. In this regard, there are studies that indicate that income level is moderately and negatively related to frugality and frugal behavior [11][12][13]. There are also internal factors such as personal value orientations and lifestyle beliefs and interests [7,10,14].…”

Section: Introductionmentioning

confidence: 99%

The Influence of Environmental Self-Identity on the Relationship between Consumer Identities and Frugal Behavior

et al. 2021

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The need to reduce consumption is evident, and a way of achieving this is through austerity and frugal practices. The aim of this research was to advance the understanding of frugal behavior and its relation to consumer identities, and to analyze any possible mediating effects of environmental self-identity. In Study 1 (n = 492), the factor structure of the consumer identities scale was tested and three distinct identities were defined: moral, wasteful, and thrifty consumer identities. In Study 2 (n = 500), the influence of consumer identities on frugal behavior was studied and the possible mediating effect of environmental self-identity was analyzed. Environmental self-identity completely mediated the relationship between moral identity and frugal behavior and partially mediated the relationships of both wasteful and thrifty identities with frugal behavior. The model was able to predict 27.6% of the variance of environmental self-identity and 47.9% of the variance of frugal behavior, with a strong influence by the thrifty consumer identity. This emphasizes the economic dimension of frugal consumption patterns and the importance of considering how people view themselves, both as individuals and as consumers, in order to more effectively engage and maintain long-term sustainable frugal actions.

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“…Iwata (1997Iwata ( , 2006 defined voluntary simplicity as a lifestyle of low consumption that includes low material dependency. However, although related, voluntary simplicity and frugality respond to different motivations (Pan et al, 2019). Thus, while voluntary simplicity is guided by a search for non-materialistic sources of life satisfaction and wellbeing, associated with values of self-determination, ecological awareness, and personal growth, frugality is explained by a set of specific consumer characteristics such as market mavenism and shopping antipathy (Bove et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Determinants of Frugal Behavior: The Influences of Consciousness for Sustainable Consumption, Materialism, and the Consideration of Future Consequences

et al. 2020

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The transition toward sustainability and the adjustment to climate change should involve the reduction of consumption behavior and the need to maintain social practices of frugality. This paper investigates the influences of consciousness for sustainable consumption (CSC), materialism, and the consideration of future consequences (CFC) on frugal behaviors. Four-hundred-and-forty-four individuals responded to an instrument investigating these variables. Results of a structural model revealed that materialism significantly and negatively influenced the three dimensions of CSC: economic, environmental, and social. The consideration of distant future consequences positively and significantly affected the economic dimension of CSC. Frugal behavior received significant and positive influences from the three CSC dimensions and from consideration of distant future consequences. The model explained 46% of variance in frugal behavior, revealing the importance of awareness of the consequences of resource consumption and the CFC has on promoting a moderate consumption of resources.

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Hyperopia and frugality: Different motivational drivers and yet similar effects on consumer spending

Cited by 25 publications

References 28 publications

[Retracted] Detection and Adaptive Video Processing of Hyperopia Scene in Sports Video

[Retracted] Detection and Adaptive Video Processing of Hyperopia Scene in Sports Video

The Influence of Environmental Self-Identity on the Relationship between Consumer Identities and Frugal Behavior

Determinants of Frugal Behavior: The Influences of Consciousness for Sustainable Consumption, Materialism, and the Consideration of Future Consequences

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