A neural network based price sensitive recommender model to predict customer choices based on price effect

The impact of price and price changes should not be ignored while designing algorithms for predicting customer choice. Consumer preferences should be modeled with consideration of price effects. Businesses need to consider for efficient prediction of an individual's purchase behaviour. Personalized recommendation systems have been studied with machine learning algorithms. However, the price-aware personalized recommendation has received little attention. In this paper, we attempt to capture insightful economic results considered in the marketing and economics disciplines by employing modern machine learning architecture for predicting customer choice in a large-scale supermarket context. We extract personalized price sensitivities and examine their importance in consumer behaviour. The employed data collected from a supermarket chain in Germany consists of implicit feedback based on customer-product interactions and the price of every interaction. We propose a two-pathway matrix factorization (2way-MF) model that is price-aware and tries to memorize customer-product interaction's implicit feedback. The proposed models achieve better model performance than standard Matrix Factorization models widely used in the industry. The approach was re-validated with data from supermarket chain in Taiwan. Other industries can adopt the proposed framework of modeling customer's preferences based on price sensitivity. We suggest that further research and analyses could help understand the cross-price elasticities.     

Refining e-shoppers’ perceived risks: Development and validation of new measurement scale

Due to the rapid expansion of perceived e-shopping risks, and highly isolated and inconsistent presentation of literature about this concept, understanding e-shopper's behavior has become more difficult. In this regard, this study brings together different views, evidences and facts about perceived e-shopping risks from both scholars and practitioners of South-East Asian and Western countries. It then interprets the information in the form of a new scale which offers more adequacy, assemblage and uniformity than the existing models of perceived risks of e-shoppers. The new scale of construct has 11 dimensions comprising a pool of 38 items, which has been empirically validated through the data collected from 537 Malaysian e-shoppers. The dimensions are: high price risk, deception risk, transaction failure risk, dissimilar product risk, incapable service risk, illegitimate product risk, isolation risk, unease risk, displeasure risk, prior-purchase time delays risk, and post-purchase time delays risk. The theoretical and managerial implications and research limitations have also been discussed.     

Interaction between message framing and consumers’ prior subjective knowledge regarding food safety issues

This study analyzed the interaction between message frames and recipients’ prior knowledge. The hypothesis is that less prior consumer knowledge will result in a larger framing effect. That is, if the subjective knowledge of the public is low, then the controversy created by mass media regarding a specific food-related event will be larger. Empirical results show that message frame has an influence on college students’ purchasing intentions. College students showed distinct responses in purchasing intention based on different headlines and different amounts of information within articles. The results further suggest that the framing effect depends not only on message frames, but also on the prior knowledge of the message recipient. Those who have less knowledge have larger variation in their purchase intention when responding to different message frames. This suggests that people with less knowledge are more likely to panic due to mass media reports regarding a food hazard issue. More informed consumers have less dramatic responses to food safety issues compared to less informed people.     

Exploring the elements of consumer nostalgia in retailing: Evidence from a content analysis of retailer collages

This article focuses on consumer nostalgia in the retailing environment to identify the types of nostalgic memories evoked by remembering a retailer and the elements associated with such nostalgic memories. A projective technique involving collage construction enabled informants to reflect their feelings about, memories of, experiences with, or relationships with a retailer that they have selected. The findings uncovered three distinct types of retailer-related consumer nostalgic memories and six elements that comprise retailer-related consumer nostalgic memories. The findings of the study offer a comprehensive understanding of retailer consumer nostalgia. Theoretical and managerial implications are discussed.     

Random regret minimization for consumer choice modeling: Assessment of empirical evidence

This paper introduces to the field of marketing a regret-based discrete choice model for the analysis of multi-attribute consumer choices from multinomial choice sets. This random regret minimization (RRM) model, which has recently been introduced in the field of transport, forms a regret-based counterpart of the canonical random utility maximization (RUM) paradigm. This paper assesses empirical results based on 43 comparisons reported in peer-reviewed journal articles and book chapters, with the aim of finding out to what extent, when, and how RRM can form a viable addition to the consumer choice modeler's toolkit. The paper shows that RRM and hybrid RRM–RUM models outperform RUM counterparts in a majority of cases, in terms of model fit and predictive ability. Although differences in performance are quite small, the two paradigms often result in markedly different managerial implications due to considerable differences in, for example, market share forecasts.     

Consumer preferences before and after a food safety scare: An experimental analysis of the 2010 egg recall

In August 2010, more than half a billion eggs were recalled in the U.S. because of a Salmonella outbreak. This study examines the effect of the recall with a unique pair of auction experiments investigating willingness to pay (WTP) for conventional and organic eggs, one conducted shortly before and one right after the recall with the same participants. In addition to the before and after bids, participants bid again after a negative information or balanced information treatment about the event. Accompanying surveys showed consumers had a high level of awareness of the recall but less knowledge of specific details, and viewed information on egg farm conditions as very important in their WTP. While there were no significant before and after differences, WTP for organic eggs significantly increased in the negative information treatment, and balanced information had a positive effect on consumer WTP for conventional eggs.     

Consumer behavior and purchase intention for organic food: A review and research agenda

In this article, we review and discuss the factors, which affect the change in the consumer behavior towards organic food. We extract findings from various studies conducted in different countries and analyze those factors and provide suggestions for future research. We find that health-conscious consumers show a growing preference for organic food over the conventionally grown food. This shift in the attitude of the modern consumers is greatly influenced by the rising incidence of lifestyle diseases, such as heart disorders and depression. The need to purchase organic food to improve the quality of life will have huge implications for the retail, distribution and marketing functions of business.     

Universal food security program and nutritional intake: Evidence from the hunger prone KBK districts in Odisha

This article provides evidence on the role of consumer food subsidies in improving nutritional intake and diet quality by evaluating the expansion of the government food assistance program coverage in the hunger prone state of Odisha in India. In 8 districts of Odisha, popularly known as the Kalahandi-Balangir-Koraput (KBK) region which is notable for extreme poverty and starvation deaths, the government did away with the targeted food assistance program in 2008 and made the scheme universal. Using a Difference-in-Difference methodology over two repeated cross sectional household surveys, this article finds that the shift from targeted to a universal food security program in the KBK region of Odisha has led to an improvement in the household nutritional intake and diet quality. Further examination suggests that proportion of households consuming below the recommended dietary allowance of calorie, fats and protein has declined significantly in this region post the intervention.     

Effects of perceived product quality and Lifestyles of Health and Sustainability (LOHAS) on consumer price preferences for children's furniture in China

The effects of perceived product quality and orientation toward Lifestyles of Health and Sustainability (LOHAS) on consumer price preferences were studied with the use of survey data of the children's furniture market in two metropolitan cities of China: Shanghai and Shenzhen. Based on the results from a factor analysis and logistic regression, consumers’ perceived product quality of children's furniture was identified as a four-dimensional construct: ‘supplier attributes’, ‘extended product attributes’, ‘basic product attributes’ and ‘environmental quality attributes’. Consumer price preferences were discovered to be negatively influenced by ‘basic product attributes’, but positively influenced by consumer orientation towards LOHAS, gender and education level. In conclusion, China's children's furniture market presents a high-end niche segment with growth potential for both furniture producers and wood material suppliers.     

Demand for ecolabeled seafood in the Japanese market: A conjoint analysis of the impact of information and interaction with other labels

The use of seafood ecolabels is expanding in the world marketplace, but so are labels indicating other product attributes, such as country of origin and wild vs. farmed. The interactive effects of these labels and attributes in evaluating consumers’ preferences for ecolabeled seafood are relatively unexplored. In this paper we investigate (1) the direct and interactive effects of seafood ecolabels with other common fish labels, and (2) how consumers’ perceptions about the state of marine stocks and the valuation of ecolabels may be affected by different information. We find moderate interactive effects between ecolabels and country of origin labels, whereas the valuation for seafood ecolabels is fairly high. In terms of information, we find that consumers’ perceptions about fish stock levels changed (negatively) after receiving information on declining stock levels, and more sensationalized information led to increased change. However, valuation for a seafood ecolabel increases only when the information was perceived positively (credible/interesting); whereas exaggerated information (which was also perceived less credible) had insignificant effects on WTP.