Challenges and Changes in Gendered Poverty: The Feminization,De-Feminization,and Re-Feminization of Poverty in Latin America

Despite reductions in poverty generally, recent trends in Latin American countries show processes of both de-feminization and re-feminization of poverty. A rise in the numbers of women to men living in income-poor households has occurred despite feminized anti-poverty programs, most notably conditional cash transfers (CCTs), which target resources to women. This paper shows that methodological differences in what, how, and who is the focus of measurement may influence patterns of poverty “feminization.” It also suggests that feminized policy interventions might in themselves be playing a role in the re-feminization of poverty, not least because of data and definitional limitations in the way female-headed households and, relatedly, women’s poverty are understood. The somewhat paradoxical interactions between the feminization of household headship, the feminization of poverty, and the feminization of anti-poverty programs present interesting challenges for redressing gender gaps in poverty within the 2030 Agenda for Sustainable Development.     

Deep learning for modeling the collection rate for third-party buyers

This study evaluates a wide range of machine learning techniques such as deep learning, boosting, and support vector regression to predict the collection rate of more than 65,000 defaulted consumer credits from the telecommunications sector that were bought by a German third-party company. Weighted performance measures were defined based on the value of exposure at default for comparing collection rate models. The approach proposed in this paper is useful for a third-party company in managing the risk of a portfolio of defaulted credit that it purchases. The main finding is that one of the machine learning models we investigate, the deep learning model, performs significantly better out-of-sample than all other methods that can be used by an acquirer of defaulted credits based on weighted-performance measures. By using unweighted performance measures, deep learning and boosting perform similarly. Moreover, we find that using a training set with a larger proportion of the dataset does not improve prediction accuracy significantly when deep learning is used. The general conclusion is that deep learning is a potentially performance-enhancing tool for credit risk management.     

Dodo Lé Là: how consumers promote a local iconic brand in postcolonial creole culture

ABSTRACT

This videography shows how consumers in the Reunion Island (France) promote a local Dodo beer towards an iconic status through their identity work. An alternative approach to Holt’s theorising on iconic brands is taken on two levels. First, the videography contributes by offering a non-American, postcolonial and creole aspect of a brand myth-making, as well as the ‘promotion’ of the brand by the local consumers and multi-ethnic community. Second, the consumers’ voice in citing the brand is examined (Nakassis, 2012. American Anthropologist, 114(4), 624–638.). Based on the findings, the citing of the brand happens in two different ways: when including it into personalised identity narratives and when producing new brand tokens, thus nurturing the brand ontology further.     

In search of diners responsive to health cues: Insights from U.S. consumers

Many consumers rely on summary statistics offered by online and mobile platforms to attain nutrition information on menu items. While positive (vs. negative) summary cues garner more favorable consumer responses, this research provides a more nuanced understanding of this effect by examining the moderating role of two individual-level characteristics: health-consciousness and need for status. Two MTurk samples (Study 1: n = 142, Study 2: n = 119) were recruited in 2018. Findings from Study 1 suggest that health-conscious (vs. less health-conscious) consumers show a wider gap in perceived healthiness of a menu item in response to the valence of a health cue. This greater gap translates into more polarized attitudes toward the menu item. Findings from Study 2 indicate that consumers high (vs. low) in need for status exhibit less favorable attitudes toward a menu item with a negative health cue. Theoretical and managerial implications are discussed.     

Are You a Chocolate Lover? An Investigation of the Repurchase Behavior of Chocolate Consumers

This study aimed to understand the factors affecting repurchase behavior of chocolate brands and, consequently, customer retention and acquisition. The study adopted a qualitative, inductive approach using in-depth interviews with 31 Australian consumers. The factors identified in the extant literature as antecedents of customers’ repurchase intention in the chocolate industry, including brand recognition, sales promotion, product price value, variety, taste, texture, size, packaging, and customer satisfaction, were confirmed. The results also indicated that functional value, product selection value, self-gratification value, socialization value, and transactional value were also considered during the consumer decision-making process. Implications for practitioners are provided.     

Online marketing: When to offer a refund for advanced sales

Advance selling is a marketing strategy commonly used by online retailers to increase sales by exploiting consumer valuation uncertainty. Recently, some online retailers have started to allow refunds on products sold in advance. On the one hand this reduces the net advance sales, but on the other hand it allows a higher advance sales price. This research is the first to explore the overall effect of allowing a refund on profits from advance sales, identifying conditions where advance selling with or without refunds (or no advance selling at all) is best. We analytically compare the profits of three advance selling strategies: none, without refund, and with refund. We show that selling in advance and allowing a refund is optimal for products with a relatively small profit margin and small strategic market size, and that the added profit can be considerable. Our results guide managers in selecting the right advance selling strategy. To facilitate this, we graphically display, based on the two dimensions of regular profit margin and strategic market size, under what conditions the different strategies are optimal.     

Perceptions of Agriculture and Food Corporate Social Responsibility

An online survey of 1,201 U.S. residents was conducted in April 2015 to better understand individuals’ perceptions of prominent areas of corporate social responsibility (CSR) in the food supply chain. Demographic and household consumption information, including supermarket patronage, was collected. Each respondent completed best–worst tasks for CSR areas designed to elicit their relative importance of CSR areas. Overall, health and safety were perceived as the most important CSR area, and environment was prioritized second. Indicating gender as female and/or reporting age over 65 was positively correlated with the relative importance placed on health and safety, but negatively correlated with the size of preference share for nearly all other CSR areas investigated. Membership in the younger age categories was positively correlated with the size of the preference shares devoted to procurement, labor, fair trade, and biotechnology.     

Neither an Authentic Product nor a Counterfeit: The Growing Popularity of Shanzhai Products in Global Markets

Counterfeits have been a longstanding concern to global brand manufactures. However, recently, a new product category that partly imitates and partly innovates under the term shanzhai has entered into market. Shanzhai products mimic original leading brands through visual or functional similarities and may also provide additional features. Given this new copycat phenomenon, our study for the first time conceptually distinguishes shanzhai products from counterfeits, theoretically compares the values of consumers choosing shanzhai products versus counterfeits, and empirically tests such differences in one integrative model. Specifically, shanzhai buyers value product functional benefits more than counterfeit buyers, while counterfeit buyers value status consumption, yet experience less self‐clarity than shanzhai buyers. Our findings offer important implications for imitative innovation literature as well as for practitioners.     

Food fraud: economic insights into the dark side of incentives

In this review, we contextualise the articles in this special issue, relating them to existing food fraud research, and identify food fraud research trends, challenges and priorities for the near term. We accomplish these aims through a comprehensive review of research by food scientists, economists, other social scientists, legal experts, government research groups and international trade organisations. Existing food fraud research is heavily weighted towards food science, packaging and labelling, and legal areas of knowledge discovery. Moving forward, research is needed pertaining to general economic welfare outcomes from food fraud incidences, economic incentives to deter frauds, economic spillovers from fraud incidences to other food products and markets (domestic and international) and further delineation of the effect of different types of food fraud on consumer and producer welfare. The articles in this special issue make significant contributions to understanding of the role of food fraud in consumer decisions, measuring consumer welfare losses from fraud, food fraud spillover effects to other markets and new frameworks for fraud analysis.     

You are charging your friend a fee? The influence of brand relationship norms on consumer judgments

Prior research has found that consumer interpersonal relationship norms influence how consumers view marketing actions by a brand. Exchange relationships (e.g. payment for benefit received) and communal relationships (e.g. altruistic concern for a partner’s welfare) were studied. Violating relationship norms negatively affected consumer judgments. We replicate and extend this finding. We show general support for the proposed interaction across a range of dependent measures, manipulations and with an Australian sample. We also show that the negative effects of norm transgression by charging consumers a fee can be attenuated when the fee is modest and that exchange participants can also regard fees as violations of relationship norms.