The evolution of consumer knowledge and sources of information: Hungary in transition

The authors’ research in Hungary during the period of transition to a market economy provides an opportunity to examine the evolving relationships between consumer product knowledge and its antecedents, including advertising, personal search, interpersonal sources, and brand experience. Their findings, based on survey data collected in Budapest in 1992 and 1998, indicate that the market information variables explain more variance in consumer knowledge later rather than earlier in the transition. Advertising is an important predictor of consumer knowledge later but not earlier in the transition, personal search is important at both times, and interpersonal sources are not important in either time period; brand experience is negatively related to knowledge earlier in the transition and positively related later in the transition. This study allows one to begin to understand the boundary conditions associated with studies conducted in developed economies. Managerial implications for firms investing in transitional economies are presented. Robin A. Coulter (robin.coulter@business.uconn.edu) is Ackerman Scholar and an associate professor of marketing in the School of Business at the University of Connecticut. She received her Ph.D. from the University of Pittsburgh. Her research interests include branding, cross-cultural consumer behavior, advertising, and research methods. Her work has appeared in theJournal of Consumer Research, the Journal of Consumer Psychology, theJournal of Applied Psychology, and theInternational Journal of Research in Marketing. Linda L. Price (llprice@email.arizona.edu) is Soldwedel Professor of Marketing in the Eller School of Management at the University of Arizona. She received her Ph.D. from the University of Texas at Austin. Her research combines qualitative and quantitative methodologies to examine the active, emotional, imaginative aspects of consumers’ decisions and activities, and the social and cultural context of marketplace behaviors. Her work has appeared in theJournal of Consumer Research, Journal of Marketing, and other leading marketing, management, and social science journals. Lawrence Feick (feick@katz.pitt.edu) is a professor of business administration in the Katz Graduate School of Business at the University of Pittsburgh. He received his Ph.D. from Pennsylvania State University. His current research focuses on cross-cultural consumer behavior, consumer word-of-mouth, and referrals. His work has appeared in the Journal of Marketing, theJournal of Marketing Research, the Journal of Consumer Research, Psychological Bulletin, andPublic Opinion Quarterly. Camelia Micu (camelia.micu@business.uconn.edu) is a marketing doctoral candidate at the University of Connecticut. Her research interests include advertising and product trial and cross-cultural consumer behavior.     

Online customer experience in e-retailing: implications for web entrepreneurship

Providing consumers with unique experiences and immersing them in original contexts are the goals of web entrepreneurs. Researchers and web entrepreneurs have expressed a particular interest in the online customer experience, agreeing on its importance in creating satisfaction, revisiting intention, e-trust and e-loyalty. This paper explores customer experience in the online retail context. The online customer experience is central in forming customers’ perceptions of expectations of online retailers because this experience is highly personal. However, empirical research on the online customer experience remains scarce. The objectives of this unique study are twofold. The first is to compare the effect of online customer experience on the responses of Romanian and Tunisian customers. The comparative analysis is based on two dimensions of the online customer experience assessment tool. These dimensions are cognitive experiential state (flow) and affective experiential state. The second objective is to examine the contribution of each of these two dimensions in explaining overall perceived value, e-satisfaction, e-trust and repurchase intention in the online context, as well as their effects on web entrepreneurial initiatives. The findings reveal the impact of cultural influences on the constructs embedded in the research framework. The implications for practice relate to the increasing importance of online customer experience in tailoring online marketing campaigns. The implications for web entrepreneurship are clearly emphasised by the pathways from online customer experience to entrepreneurial initiatives. These pathways capture the value of customer-generated content in designing innovative business models.

     

Advertising in English in Nonnative English-Speaking Markets: The Effect of Language and Self-Referencing in Advertising in Romania on Ad Attitudes

As a potent symbol of globalization, English has become one of the most popular foreign languages used in advertising in many nonnative English-speaking markets. This study aims to explore the effect of language used in advertising (English versus local) and self-referencing on consumers' ad attitudes in Romania, a country where the population is not necessarily speaking English fluently. The results indicate that multinational brands benefit from using English in advertising, whether a high or a low level of self-referencing is used. For local brands, different language formats do not vary in their advertising effectiveness. However, if English is to be used to advertise a local brand to give a “modern” flavor to the product, a high self-referencing format should be used.     

The state of #digitalentrepreneurship: a big data Leximancer analysis of social media activity

This paper examined online sentiment, key themes and patterns evident in social media activity about digital entrepreneurship. It provides a snapshot-in-time, visual-first perspective on social media user-generated-content (UGC) to better understand the topic of digital entrepreneurship. Global data consisting of 31,017 publicly available UGC which used the #digitalentrepreneurship (hashtag) and the keywords ‘digital entrepreneurship’ were collected. A computer assisted qualitative data analysis software (CAQDAS), Leximancer, was used for an automated text-mining analysis. There is positive online sentiment surrounding digital entrepreneurship technology, ecosystem and industry, and one which promotes women transformation of digital entrepreneurship globally. Negative sentiment pointed out that future development and support of youth in digital entrepreneurship is needed. Digital entrepreneurs were identified as needing to focus on strategy, leadership, management, and social media platforms. A comprehensive perspective on the state of digital entrepreneurship in online UGC is provided. Insights into the challenges, issues, changes, success stories and key topics in digital entrepreneurship are highlighted. Future research is encouraged to adopt longitudinal and quantitative approaches, to provide further insights into the evolution of digital entrepreneurship. The paper contributes to the entrepreneurship literature by applying the Social Exchange Theory and the Social Media User Engagement Framework to better understand social media activity around digital entrepreneurship. The findings show that there are real challenges and issues to overcome but there are also changes occurring in digital entrepreneurship and social media users are keen to share and learn from digital entrepreneurship success stories.

     

What to Get and What to Give Up: How Different Decision Tasks and Product Types Affect the Persuasiveness of Promotion‐ versus Prevention‐Focused Messages

Prior research has distinguished between ad message frames that are promotion‐focused (i.e., eager‐sounding and achievement‐oriented) and those that are prevention‐focused (i.e., vigilance‐hued and safety‐themed). In three studies, the authors investigate the relative persuasiveness of promotion‐ versus prevention‐focused messages in the context of different decision tasks (i.e., acquisition vs. forfeiture) and different types of featured products/attributes (i.e., hedonic vs. utilitarian). Studies 1 and 2 focus on message structures conducive to imagery‐based processing. The results show that promotion‐focused messages are relatively more persuasive than prevention‐focused messages in acquisition tasks than in forfeiture tasks in the case of hedonic products (and products with salient hedonic attributes). Relative persuasiveness of the two message frames is not affected by decision task in the case of utilitarian products (or products with salient utilitarian attributes). Study 3 uses message structures suited for analytical processing. In this study, interestingly, the relative persuasiveness of prevention‐focused (vs. promotion‐focused) messages is greater in forfeiture tasks than in acquisition tasks in the case of utilitarian products. Relative persuasiveness of the two message frames is not affected by decision task in the case of hedonic products. Theoretical and managerial implications of the findings are discussed.     

Analyzing user sentiment in social media: Implications for online marketing strategy

This article examines restaurant customers’ online activity following visits to restaurants. Differences in customers’ opinions based on gender and location are discussed. Sentiment analysis was used to analyze customers’ social media behavior in terms of liking, rating, and reviewing restaurants. User‐generated reviews and comments about experiences influence potential customers’ decisions. The results of this study show that gender and location of customers influence restaurant ratings. This article shows that sentiment analysis (using Natural Language Toolkit and TextBlob) can help marketers by providing a useful tool for big data analysis. Sentiment analysis can be used to interpret customer behavior and highlight how presales, sales, and after‐sales strategies can be improved.