Toward a Better Understanding and Measurement of Consumer Hoarding

Guillard, Valérie; Pinson, Christian

doi:10.1177/205157071202700303

Cited by 17 publications

(24 citation statements)

References 93 publications

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“…They have shown that when personal control is threatened, individuals who need to control their environment set up boundaries in their environment to regain control (Cutright 2012;Strube and Werner 1984). Theses studies provide insight into understanding disposition and hoarding behavior (Guillard and Pinson 2012;Maycroft 2009).…”

Section: Untidinessmentioning

confidence: 96%

Home Sweet Messy Home: Managing Symbolic Pollution

Dion¹,

Sabri²,

Guillard³

2014

J Consum Res

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Hanging up our coat, tidying our desk, classifying our books, what meanings do these mundane practices convey? Extending Mary Douglas's work, this article investigates tidiness from the angle of symbolic pollution. Based on photo-elicitation, it shows that, similarly to symbolic pollution described at a macro-social level, tidiness depends on two conditions, namely, a set of classifications and the dangerous transgression of these classifications. However, at a micro-social level, individuals negotiate boundaries between classifications in order to cope with symbolic pollution. Consumers define their domestic classifications through a juxtaposition of micro-practices, which does not necessarily create a hierarchically ordered system but which enables these consumers to avoid anomalies and transgressions. Furthermore, respondents are willing to break tidiness rules on specific occasions because the danger-beliefs associated with transgression are context-dependent. This analysis of tidiness gives new insights into materiality, emphasizing the cultural meaning of ordering one's possessions.H anging up our coat, sorting out papers on our desk, classifying our books, storing our groceries in the kitchen, why are these everyday and apparently normal practices so important to study? What specific meanings do these mundane daily activities convey? According to Mary Douglas (1967), these ordinary practices deploy our system of symbolic classification, that is, the social assignment of things to their place. Putting things in their place is more than placing them in a specific physical Delphine Dion (dion.iae@univ-paris1.fr) is associate professor of marketing, Sorbonne Business School, Paris. Ouidade Sabri (ouidade.sabri @u-pec.fr) is professor of marketing, Paris-Est University, UPEC, Créteil, France. Valérie Guillard (valerie.guillard@dauphine.fr) is associate professor of marketing, University of Paris Dauphine, Paris. The authors thank the JCR editorial team for their very helpful and insightful comments and particularly the associate editor for his remarkable involvement and suggestions. They would also like to thank Eric Arnould, Søren Askegaard, and Barry Babin for their helpful feedback on earlier drafts of this article. The authors wish to express their gratitude to the informants for sharing their time and aspects of their home and of their domestic lives. They are grateful for support provided by the Sorbonne Business School and the DRM research center at Paris Dauphine University.

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Section: Untidinessmentioning

confidence: 96%

Home Sweet Messy Home: Managing Symbolic Pollution

Dion¹,

Sabri²,

Guillard³

2014

J Consum Res

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“…Several studies have confirmed the reliability and validity of the HRS and it has been shown to be strongly correlated with related measures (Tolin et al, 2010;Tolin et al, 2018). Guillard and Pinson (2012) measured consumers' hoarding tendency using the following items: 'I usually tend to keep assets', 'I'm someone who likes to keep products rather than dispose of them' and 'I would like to keep everything if I could'. They distinguish between instrumental motives for hoarding (thoughts such as 'I might need it one day'), emotional motives ('it reminds me of things I did'), social motives ('it might be useful to someone') and economic motives (throwing things away feels like a waste of money) (Guillard & Pinson, 2012).…”

Section: Measurement Of Hoardingmentioning

confidence: 99%

“…Guillard and Pinson (2012) measured consumers' hoarding tendency using the following items: 'I usually tend to keep assets', 'I'm someone who likes to keep products rather than dispose of them' and 'I would like to keep everything if I could'. They distinguish between instrumental motives for hoarding (thoughts such as 'I might need it one day'), emotional motives ('it reminds me of things I did'), social motives ('it might be useful to someone') and economic motives (throwing things away feels like a waste of money) (Guillard & Pinson, 2012). Guillard and Pinson (2012) focused on what people think and feel about the disposal of assets; their measure does not cover other dimensions of hoarding and focuses on the motives leading to hoarding.…”

Section: Measurement Of Hoardingmentioning

confidence: 99%

Development of a digital photo hoarding scale: A research with undergraduate students

Bozaci¹,

Gökdeniz²

2020

10.5267/j.msl

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This study focuses on hoarding of digital assets. Today people's ownership of digital assets can be uncontrolled and the measurement tool designed in the study is expected to be useful for young people, health care organizations, businesses (smartphone firms etc.) and researchers. In the study, previous researches on hoarding, in particular hoarding of digital assets are reviewed. We then describe the process by which we developed our digital photograph hoarding scale (DPHS): development of scale items, evaluation of items, testing of a preliminary version, conducting validity and reliability analyses and analysis of scale scores. As a result, sub-dimensions of the digital photograph hoarding are identified as: problems caused by uncontrolled acquisition of photographs; problems caused by clutter; uncontrolled clutter of photographs; failure to dispose of photographs and related problems; uncontrolled taking of photographs accompanied by a constant desire to do so. It is seen that people with high DPHS scores also have higher scores on measures of photographing and photograph examination. Finally, the limitations of the research are discussed and suggestions for the future researches are offered.

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“…Since motivations are positive antecedents, we expect them to be negatively correlated with impediments which are negative antecedents. We therefore correlated the ORM dimensions to 'product attachment' which we measured by adapting Guillard and Pinson's (2012) Tendency to Keep Everything measurement scale; as well as 'perceived risk associated with online resale website' and 'financial risk', by developing items based on Manchanda and Chu's (2013) and Xinyan and Xingjing's (2010) studies on online resale impediments. These items were measured on 10point Likert scales.…”

Section: Analysis and Resultsmentioning

confidence: 99%

“…Secondly, Chu and Liao (2007) identified "resale after temporary ownership" as a specific type of planned resale. It might be interesting to use ORM in conjunction with other relevant constructs such as consumer hoarding (Guillard and Pinson, 2012) or materialism (Belk, 1985), in order to identify the tipping point or the critical point at which consumers start to consider reselling the product. Since our study established a link between ORM and online frequency it may be theorized that the period of usage of the product is inversely proportional to the online resale motivational level, but positively proportional to hoarding or materialism scores.…”

Section: Limitations and Future Research Avenuesmentioning

confidence: 99%

Business in the Hands of Consumers: A Scale for Measuring Online Resale Motivations

Ertz

2016

SSRN Journal

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The web channel is increasingly a central aspect of the secondhand economy and, as such, favours also more sustainable post-consumption processes. This is why the field of online reselling appears increasingly important. Besides, the ever broadening scope of online reselling is key to the success of new online intermediaries that position themselves in the broader movement of collaborative consumption. While, consumers' attachment for secondhand exchanges is not new, they have largely embraced its online declination. In response to these evolutions in the online retail environment, traditional retail companies have therefore started to create online consumer marketplaces in which consumers exchange goods by themselves. In order to best adapt such online marketplaces to consumers, it is therefore critically important to gain a better understanding of the driving forces behind online reselling. At present, knowledge about what motivates consumers to resell products online is limited. This article outlines the development and validation process of an online resale motivation (ORM) scale via three studies involving 1,119 respondents. Study 1 presents the ORM scale development process and resulting multi-dimensional construct, including protester, economic, generative, recreational, practical and social facets. Study 2 replicates the scale and investigates its predictive capabilities. More specifically, the ORM scale predicts successfully online resale frequency. Consumers who are more highly motivated to resell online, will indeed resell more often online. Study 3 examines the mediating role of ORM on the relationship between planned resale intentions (PRI) and online resale behaviour. The fact that consumers plan to resell a product prior to its purchase, will not directly lead them to increase the frequency at which they resell online. Rather, it is because they perceive positive economic, practical and recreational outcomes associated with online reselling that they resell more frequently online the goods which they intended to resell prior to their purchase.

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Toward a Better Understanding and Measurement of Consumer Hoarding

Cited by 17 publications

References 93 publications

Home Sweet Messy Home: Managing Symbolic Pollution

Home Sweet Messy Home: Managing Symbolic Pollution

Development of a digital photo hoarding scale: A research with undergraduate students

Business in the Hands of Consumers: A Scale for Measuring Online Resale Motivations

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