Purpose: Food waste occurs in every stage of the supply chain, but the value-added lost to waste is the highest when consumers waste food. The purpose of this paper is to understand the food waste behaviour of consumers to support policies for minimising food waste. Design/methodology/approach: Using the theory of planned behaviour (TPB) as a theoretical lens, the authors design a questionnaire that incorporates contextual factors to explain food waste behaviour. The authors test two models: base (four constructs of TPB) and extended (four constructs of TPB plus six contextual factors). The authors build partial least squares structural equation models to test the hypotheses. Findings: The data confirm significant relationships between food waste and contextual factors such as motives, financial attitudes, planning routines, food surplus, social relationships and Ramadan. Research limitations/implications: The data comes from an agriculturally resource-constrained country: Qatar. Practical implications: Food waste originating from various causes means more food should flow through the supply chains to reach consumers’ homes. Contextual factors identified in this work increase the explanatory power of the base model by 75 per cent. Social implications: Changing eating habits during certain periods of the year and food surplus have a strong impact on food waste behaviour. Originality/value: A country is considered to be food secure if it can provide its citizens with stable access to sufficient, safe and nutritious food. The findings and conclusions inform and impact upon the development of food waste and food security policies.
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PurposeThe purpose of this paper is to contribute to the marketing literature and practice by examining the effect of product pricing on consumer behaviours with regard to the assertiveness and the sentiments expressed in their product reviews. In addition, the paper uses new data collection and machine learning tools that can also be extended for other research of online consumer reviewing behaviours.Design/methodology/approachUsing web crawling techniques, a large data set was extracted from the Google Play Store. Following this, the authors created machine learning algorithms to identify topics from product reviews and to quantify assertiveness and sentiments from the review texts.FindingsThe results indicate that product pricing models affect consumer review sentiment, assertiveness and topics. Removing upfront payment obligations positively impacts the overall and pricing specific consumer sentiment and reduces assertiveness.Research limitations/implicationsThe results reveal new effects of pricing models on the nature of consumer reviews of products and form a basis for future research. The study was conducted in the gaming category of the Google Play Store and the generalisability of the findings for other app segments or marketplaces should be further tested.Originality/valueThe findings can help companies that create digital products in choosing a pricing strategy for their apps. The paper is the first to investigate how pricing modes affect the nature of online reviews written by consumers.
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Purpose This paper investigates the impact of complaint behaviour and service recovery satisfaction on consumer intentions to repurchase through Internet channels. Design/methodology/approach Using survey data from large consumer samples from 15 European countries, the authors classify consumers according to: a) whether they had negative experiences with online purchases, b) whether they complained, and c) whether they were satisfied with the complaint handling. A logistic regression analysis assesses the effects of these experiences on repurchase intentions. Findings Remarkable differences arise among the consumers with respect to intentions to repurchase on the Internet. Consumers with negative experiences who complained expressed higher repurchase intentions than consumers with no reason to complain and also than consumers who had negative experiences but did not complain. Yet the highest repurchase intentions arose among consumers who complained and expressed satisfaction with the complaint handling, in support of the service recovery paradox in an online setting. Originality/value This project is one of the first empirical studies of the consequences of dissatisfaction and complaints related to online purchase behaviour.
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To enhance the validity of a mobility emission-effects model, a research is conducted on consumer behaviour. Consumer mobilitypreferences are the main determining factor in the proposed model that describes the kilometre and emission outcome under several scenarios. Motorized mobility of consumers buying fashion in shopping areas cause more kilometres in the network and subsequently more emission than when the fashion is bought online and the delivery is done by the parcel delivery services.The model provides an indication of best practice: if consumers change their shopping preferences they reduce emission and they also enable the PDSs to optimize their delivery operations
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Introduction: Few studies have examined the sales of stolen account credentials on darkweb markets. In this study, we tested how advertisement characteristics affect the popularity of illicit online advertisements offering account credentials. Unlike previous criminological research, we take a novel approach by assessing the applicability of knowledge on regular consumer behaviours instead of theories explaining offender behaviour.Methods: We scraped 1,565 unique advertisements offering credentials on a darkweb market. We used this panel data set to predict the simultaneous effects of the asking price, endorsement cues and title elements on advertisement popularity by estimating several hybrid panel data models.Results: Most of our findings disconfirm our hypotheses. Asking price did not affect advertisement popularity. Endorsement cues, including vendor reputation and cumulative sales and views, had mixed and negative relationships, respectively, with advertisement popularity.Discussion: Our results might suggest that account credentials are not simply regular products, but high-risk commodities that, paradoxically, become less attractive as they gain popularity. This study highlights the necessity of a deeper understanding of illicit online market dynamics to improve theories on illicit consumer behaviours and assist cybersecurity experts in disrupting criminal business models more effectively. We propose several avenues for future experimental research to gain further insights into these illicit processes.
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The purpose of the research we undertook for this Conference Paper was to investigate whether marketing campaigns for specific types of drinks could be directed towards age cohorts rather than towards intercultural differences between countries. We developed consumer profiles based on drinking motives and drinking behavior by age cohorts. We hypothesized that differences between countries in the youngest age groups are smaller than in the older age groups, where country specific tradition and culture still plays a more prominent role. We, therefore tested, from the data obtained by the COnsumer BEhaviouR Erasmus Network (COBEREN), the hypothesis that the extent to which the age specific profiles differ between countries increases with age. The results confirm our hypothesis that the extent to which drinking motives differ between countries increases with age. Our results suggest that marketing campaigns which are directed towards drinking motives, could best be tailored by age cohort, in particular when it concerns age group 18-37 and more particular for beer, spirits and especially premix drinks. Marketing campaigns for non-alcoholic beverages should be made specific for the British countries and the Western countries, but even more effectively be made specific for the age cohort 18-37.
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Specific approaches are needed to reach and support people with a lower socioeconomic position (SEP) to achieve healthier eating behaviours. There is a growing body of evidence suggesting that digital health tools exhibit potential to address these needs because of its specific features that enable application of various behaviour change techniques (BCTs). The aim of this scoping review is to identify the BCTs that are used in diet-related digital interventions targeted at people with a low SEP, and which of these BCTs coincide with improved eating behaviour. The systematic search was performed in 3 databases, using terms related to e/m-health, diet quality and socioeconomic position. A total of 17 full text papers were included. The average number of BCTs per intervention was 6.9 (ranged 3–15). BCTs from the cluster ‘Goals and planning’ were applied most often (25x), followed by the clusters ‘Shaping knowledge’ (18x) and ‘Natural consequences’ (18x). Other frequently applied BCT clusters were ‘Feedback and monitoring’ (15x) and ‘Comparison of behaviour’ (13x). Whereas some BCTs were frequently applied, such as goal setting, others were rarely used, such as social support. Most studies (n = 13) observed a positive effect of the intervention on eating behaviour (e.g. having breakfast) in the low SEP group, but this was not clearly associated with the number or type of applied BCTs. In conclusion, more intervention studies focused on people with a low SEP are needed to draw firm conclusions as to which BCTs are effective in improving their diet quality. Also, further research should investigate combinations of BCTs, the intervention design and context, and the use of multicomponent approaches. We encourage intervention developers and researchers to describe interventions more thoroughly, following the systematics of a behaviour change taxonomy, and to select BCTs knowingly.
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De hoofdvraag van dit onderzoek is samen met diverse organisaties binnen het duurzaamheidsdomein ontwikkeld en verwoord als: “Welke creatieve methoden kunnen ontwikkeld worden om de willingness to pay voor duurzame voedingsproducten bij consumenten te verhogen?”
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ABSTRACT Purpose: This short paper describes the dashboard design process for online hate speech monitoring for multiple languages and platforms. Methodology/approach: A case study approach was adopted in which the authors followed a research & development project for a multilingual and multiplatform online dashboard monitoring online hate speech. The case under study is the project for the European Observatory of Online Hate (EOOH). Results: We outline the process taken for design and prototype development for which a design thinking approach was followed, including multiple potential user groups of the dashboard. The paper presents this process's outcome and the dashboard's initial use. The identified issues, such as obfuscation of the context or identity of user accounts of social media posts limiting the dashboard's usability while providing a trade-off in privacy protection, may contribute to the discourse on privacy and data protection in (big data) social media analysis for practitioners. Research limitations/implications: The results are from a single case study. Still, they may be relevant for other online hate speech detection and monitoring projects involving big data analysis and human annotation. Practical implications: The study emphasises the need to involve diverse user groups and a multidisciplinary team in developing a dashboard for online hate speech. The context in which potential online hate is disseminated and the network of accounts distributing or interacting with that hate speech seems relevant for analysis by a part of the user groups of the dashboard. International Information Management Association
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In dit abstract wordt de ontwikkeling van een online onderwijsmodule beschreven gericht op eHealth voor leefstijlverbetering
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