The growing importance of Social Networking Sites (SNS) in today's information economy has generated significant interest for understanding and managing shared fake news about brands on social media among academia and industry worldwide. In this context, we consider it is important to discuss the role of flow, also called optimal experience, in sharing fake news about brands on social media. Firstly, we will critically analyze the conceptualizations of the umbrella term „fake news‟ in the so-called „post-truth‟ era and assume a (...) narrow definition from literature. Secondly, we will review different theories from literature (i.e., selective exposure theory, uses and gratifications theory, social comparison theory, rational choice theory and self- determination theory) in order to explain why users share fake news. Furthermore, we will refer to flow theory proposed by Csikszentmihalyi (1975), which could be used as a framework to better the understanding of the user‟s behavior regarding the sharing of fake news about brands on social media. Flow is a hedonistic construct whose importance is widely recognized as having a major impact on the user's behavior in relation to information systems. According to Csikszentmihalyi (1975, 1988), flow is a “crucial component of enjoyment” and is “the holistic sensation that people feel when they act with total involvement”. In a flow state, the consumer perceives an effortless action, loss of time and a sense that the experience stands out as being exceptional compared to daily activities (Csikszentmihalyi 1997). Flow is a continuous variable that can occur on different levels, ranging from none to an intense (or complete) state (Csikszentmihalyi & Csikszentmihalyi 1988). Flow experience has been studied as an independent variable, as a dependent variable, and lately, as a mediator variable. In this paper we propose a new conceptual model containing 3 variables: (1) fake news spread about brands in SNS, (2) flow state experienced by SNS human users (i.e., optimal experience) and (3) sharing fake news about brands on social media by SNS human users (i.e., social media behavior). We conclude by outlining the need to empirically test the new conceptual model proposed in this paper. (shrink)

The aim of this article is to address the issue of measuring radio audience from a methodological perspective. Although our approach is contextualized, the case study of radio audience measurement in Romania is relevant to a large number of EU countries, in which scholars and practitioners use Day-After-Recall technique. Considering the size of the radio advertising market, as well as the number of radio listeners (about 90% in EU), it is crucial for both radio broadcasters and advertisers to measure radio (...) audience with high accuracy. First, we briefly review the main definitions of key concepts used in radio audience evaluation: audience, listener, rating, market share, daily-reach, or time spent listening. Next, we discuss two paradigms of audience and two theoretical models of mass communication used as a framework for measuring radio audience. Further, we briefly approach the issue of potential sources of error in rating data, by focusing on response error. Next, we emphasize the advantages and disadvantages of each quantitative method utilized in radio audience measurement, and present the case study of radio audience measurement in Romania. Based on a methodological critical review, we outline challenges and potential solutions for assessing more accurately radio audience. Finally, we reflect on the future of radio in digital era, and refer to new perspectives of upgrading existing research techniques. (shrink)

The aim of this paper is to provide a critical review of flow theory - a psychological state - and its marketing outcomes in online environments. Despite the strong interest of researchers from various disciplines, adapting the flow theory to online environments has been problematic. Based on a careful examination of the literature, we identified conceptual challenges confronted when studying flow online. The paper further discusses some possible solutions for challenges and underlines the need for more studies in this research (...) area. Finally, marketing outcomes of applying flow theory in online environment were examined. (shrink)

The aim of this paper is to explore the relationship between online flow, also called optimal experience, perceived quality of a restaurant e-commerce website, and customer’s purchase intention. First, we reviewed flow, perceived quality, and purchase intention studies in the literature, and proposed a conceptual model of the hypothesized relationships between our variables. Afterwards, we identified in the literature measuring methods and scales for online flow, perceived quality and customer’s purchase intention, and ran a reliability analysis. In order to study (...) the relationship between the variables from our conceptual model, we used a qvasi-experimental design. The first phase of our study consisted in selecting a restaurant e-commerce website and establishing a task scenario. Second phase involved data collection. We sent 3200 emails containing an invitation to participate to study, through an email marketing platform. The sample used was nonprobabilistic. The opening rate of emails containing the invitation was 28.5%, with 8% click rate on the link to participate to our study. At the end of this second phase, July 15, 2014, we received 210 answers, thereof 132 were valid. Multiple regression analyses were conducted to assess each component of the proposed mediation model. Results of the mediation analysis confirmed the mediating role of the perceived quality of an e-commerce website in the relation between online flow and online purchase intention. Finally, we discuss conclusions and limitations of our study. (shrink)

The aim of this paper is to study the relationship between customers’ online flow experience and the perceived quality of a brand website. First, we reviewed flow and perceived quality studies in the literature, and distinguished the flow construct from other similar concepts. Second, we proposed a conceptual diagram for a better understanding and a visual representation of the relationships between the two sets of variables. Third, we identified in the literature, scales for measuring online flow and perceived quality, and (...) ran a factor analysis, followed by a reliability analysis of the scales used. In order to address our research problem - how can the flow theory be used to increase the perceived quality of a brand website - we used a quasi-experimental design. The first phase of our study consisted of selecting a brand website: InPașcani, and establishing a task scenario. The second phase involved data collection. Through an email marketing platform we sent 890 emails containing an invitation to participate in the study. The sample used was nonprobabilistic. The opening rate of emails containing the invitation was 32.5%, with a 10% click rate on the link to participate in our study. At the end of this second phase, June 24, 2013 - July 3, 2013, we received 67 answers, of which 62 were valid. In order to test our hypotheses, we conducted a series of bivariate correlations for testing the relationship between the two sets of variables, and a simple linear regression analysis to examine the causal relationship between online flow state and the perceived quality of a brand website. We found that flow is an important construct that can be used by marketers in order to increase the perceived quality of a brand website. Finally, we discussed the limitations of our study and offered suggestions for future research. (shrink)