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Journal ArticleDOI

Life Satisfaction, Self-Determination, and Consumption Adequacy at the Bottom of the Pyramid

Kelly D. Martin, +1 more
- 01 Apr 2012 - 
- Vol. 38, Iss: 6, pp 1155-1168
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TLDR
This article investigated bottom-of-the-pyramid, or impoverished, consumers to better comprehend the relationship between societal poverty and individual life satisfaction as moderated by psychological need deprivation and described by self-determination theory.
Abstract
Concentration on consumption in material environments characterized by too much rather than too little creates important gaps in the understanding of how much of the earth’s population navigates the marketplace. This study investigates bottom-of-the-pyramid, or impoverished, consumers to better comprehend the relationship between societal poverty and individual life satisfaction as moderated by psychological need deprivation and described by self-determination theory. Data were gathered from more than 77,000 individuals in 51 of the world’s poorest countries. Using hierarchical linear models, results show that relatedness and autonomy improve poverty’s negative influence on life satisfaction, but only if basic life necessities are available, described as consumption adequacy. Findings illustrate that without consumption adequacy, psychological need fulfillment has little effect on the poverty–well-being relationship, emphasizing the hopelessness of individuals living in extreme poverty. Findings also sugg...

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The Fortune at the Bottom of the Pyramid: Eradicating Poverty through Profits

TL;DR: The authors in this article pointed out that low-end BOP consumers do not have so much disposable cash to buy in bulk and store, and suggested that this segment should be provided with "single serve" packages.
Journal ArticleDOI

Prosocial Spending and Well-Being: Cross-Cultural Evidence for a Psychological Universal

TL;DR: This article found that prosocial spending is associated with greater happiness around the world, in poor and rich countries alike, and that the reward experienced from helping others is deeply ingrained in human nature, emerging in diverse cultural and economic contexts.
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Bidirectional Dynamics of Materialism and Loneliness: Not Just a Vicious Cycle

TL;DR: In this article, the authors test the hypothesis that consumers face a "material trap" in which materialism fosters social isolation which in turn reinforces materialism and find that loneliness contributes more to materialism than the other way around.
References
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Book

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TL;DR: In this article, the Mathematical Basis for Multiple Regression/Correlation and Identification of the Inverse Matrix Elements is presented. But it does not address the problem of missing data.
Journal ArticleDOI

Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being.

TL;DR: Research guided by self-determination theory has focused on the social-contextual conditions that facilitate versus forestall the natural processes of self-motivation and healthy psychological development, leading to the postulate of three innate psychological needs--competence, autonomy, and relatedness.
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TL;DR: The Logic of Hierarchical Linear Models (LMLM) as discussed by the authors is a general framework for estimating and hypothesis testing for hierarchical linear models, and it has been used in many applications.
Journal ArticleDOI

The "What" and "Why" of Goal Pursuits: Human Needs and the Self-Determination of Behavior

TL;DR: Self-Determination Theory (SDT) as mentioned in this paper maintains that an understanding of human motivation requires a consideration of innate psychological needs for competence, autonomy, and relatedness, emphasizing that needs specify the necessary conditions for psychological growth, integrity, and well-being.
Journal ArticleDOI

Hierarchical Linear Models: Applications and Data Analysis Methods.

TL;DR: This chapter discusses Hierarchical Linear Models in Applications, Applications in Organizational Research, and Applications in the Study of Individual Change Applications in Meta-Analysis and Other Cases Where Level-1 Variances are Known.
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