Lowering the pirate flag: a TPB study of the factors influencing the intention to pay for movie streaming services

The launch of several movie streaming services has raised new questions about how online consumers deal with both legal and illegal options to obtain their desired products. This paper investigates the factors influencing consumers’ intentions to subscribe to online movie streaming services. These services have challenged the dramatic growth in their illegal counterpart in recent years. Taking the theory of planned behavior as a starting point, we extended existing models in the literature by incorporating factors that are specific to consumer behavior in this particular field. A quantitative survey was conducted for the Italian market, and structural equation modeling was used for data analysis. Attitudes, involvement with products, moral judgement and frequency of past behavior were found to be the most important factors in explaining the intention to pay for movie streaming services. The paper provides insights for policy makers and industry managers on the marketing communication strategies needed to minimize the risk of digital piracy

Opening up on consumer materialism

This dissertation comprises three main empirical essays, and a final chapter that synthesizes the findings and provides additional empirical evidence. The dissertation challenges current dominant theories of consumer materialism that have an overly aggregated, and overly negative, perspective of this consumer value. It shows that the three materialism dimensions have vastly different relationships with related variables, and even have positive consequences for consumers. The first essay examines age effects on materialism while controlling for birth cohort and period effects. It finds that materialism follows a curvilinear trajectory across the lifespan, with the lowest levels at middle age and higher levels before and after that. Essay 2 examines the implications of materialism for consumer savings and finds that materialism has both negative and positive effects on savings over time. Essay 3 examines the dynamic relationships between materialism and subjective well-being over time, and finds that the negative relationship between materialism and well-being is reciprocal, and due to only one of the three materialism dimensions. The other two materialism dimensions have positive effects on consumer well-being. The final chapter provides additional evidence demonstrating the differential and sometimes positive consequences of the materialism dimensions for consumers, and interrelates the findings

Do business density and variety determine retail performance?

Outlet location plays a crucial role in retail strategy. In this paper we study the relationship between spatial density (concentration) of retailers in the trade area and their economic performance. This analysis will help managers figure out the economic potential of starting a retail business in a given area, reducing business start-up risks. We find that retail businesses located in high and low retail density zones enjoy higher performance levels, consistent with competitive advantage arising from agglomeration economies and local market power respectively. We also find that retail businesses located in intermediate density areas use a differentiation strategy based on business variety (diversification across stores). Outlets located in areas with the highest variety enjoy performance levels similar to those achieved in the agglomeration and low density areas. The results suggest that retail companies should jointly consider variety and density to determine location

The Economics of Lotteries: An Annotated Bibliography

This paper presents an annotated bibliography of all papers relating to the economics of lotteries as of early to mid 2011. All published scholarly papers that could be identified by the authors are included along with the published abstract where available.lotto, lottery, public finance, gambling

The Role of Trust in Explaining Food Choice: Combining Choice Experiment and Attribute Best−Worst Scaling

This paper presents empirical findings from a combination of two elicitation techniques—discrete choice experiment (DCE) and best–worst scaling (BWS)—to provide information about the role of consumers’ trust in food choice decisions in the case of credence attributes. The analysis was based on a sample of 459 Taiwanese consumers and focuses on red sweet peppers. DCE data were examined using latent class analysis to investigate the importance and the utility different consumer segments attach to the production method, country of origin, and chemical residue testing. The relevance of attitudinal and trust-based items was identified by BWS using a hierarchical Bayesian mixed logit model and was aggregated to five latent components by means of principal component analysis. Applying a multinomial logit model, participants’ latent class membership (obtained from DCE data) was regressed on the identified attitudinal and trust components, as well as demographic information. Results of the DCE latent class analysis for the product attributes show that four segments may be distinguished. Linking the DCE with the attitudinal dimensions reveals that consumers’ attitude and trust significantly explain class membership and therefore, consumers’ preferences for different credence attributes. Based on our results, we derive recommendations for industry and policy

DO BUSINESS DENSITY AND VARIETY DETERMINE RETAIL PERFORMANCE?

Outlet location plays a crucial role in retail strategy. In this paper we study the relationship between spatial density (concentration) of retailers in the trade area and their economic performance. This analysis will help managers figure out the economic potential of starting a retail business in a given area, reducing business start-up risks. We find that retail businesses located in high and low retail density zones enjoy higher performance levels, consistent with competitive advantage arising from agglomeration economies and local market power respectively. We also find that retail businesses located in intermediate density areas use a differentiation strategy based on business variety (diversification across stores). Outlets located in areas with the highest variety enjoy performance levels similar to those achieved in the agglomeration and low density areas. The results suggest that retail companies should jointly consider variety and density to determine location.

Relation between client opinion (Net Promoter Score) and transactional data: A Pratical Example in Retail at WORTEN

Internship Report presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Marketing Research and CRMThis professional internship took place at Worten, in Lisbon, with a duration of 9 months in the year 2021/2022 in order to apply and consolidate, in a practical context, the theoretical knowledge acquired in the 1st and 2nd semester of the Master with guidance and supervision, with the to complete the master's degree and gain experience in the area. The main objective of this study was to try to understand customer behaviour considering their opinion given in the NPS (Net Promoter Score) process, trying to measure, classify and predict the customer's transactional behaviour in the company. Although this metric has been criticized by the academic community due to its poor predictive sales performance, NPS remains the most notorious metric in the market adopted by managers as a metric of consumer mindset. This internship report validates that NPS is a bad predictor of Sales in the long term, but a good predictor of frequency of purchase in the short term. This report also emphasizes the significance of conducting a segmented and in-depth analysis of each business area in order to identify the areas that are harming the company the most and those that may have potential churners. Finally, this report offers a comprehensive view of the company and its relationship with the NPS metric

The Influences Of Atmospheric Cues On Consumer Behavioral Intentions: An Affordance Perspective

Online social shopping emerges from the idea of using social networking features to benefit traditional e-commerce activities. Technology-driven shopping environments not only support shopping task completion and self-entertainment, more importantly, these new shopping environments become alternate outlets for consumers to interact with others. This dissertation aims to understand the effects of atmospheric cues on consumers\u27 behavioral intentions in online social shopping environments. This dissertation study proposes and validates a research model that predicts consumers\u27 diverse behavioral intentions (approach and avoidance) toward using online shopping environments due to website atmospheric cues. This research model is constructed based on theoretical perspectives including stimulus-organism-response framework, the technology acceptance model, the theory of affordances, and activity theory. The empirical study used a three-factorial between-subject field experiment approach to validate the research model and hypotheses. A total of 360 valid responses were collected from Amazon Mechanical Turk. Each of the subjects was randomly assigned to one of the eight experimental conditions. Data was analyzed using three-way MANOVA and PLS-SEM techniques. Analysis results largely supported the research model. Three path coefficients surprisingly had different signs from their correlation coefficients, and further mediation analysis indicated that: perceived usefulness fully mediated the effects of perceived utilitarian affordances, perceived sociability of use fully mediated the effects of perceived social affordances, and that perceived usefulness and perceived fun fully mediated the effects of perceived sociability of use on behavioral intentions. This dissertation theoretically contributes to online social shopping research by building a well-grounded research model that integrates several theories from different disciplines. The instrument for measuring perceived affordances provides an operationalized solution to understand interaction mechanism between technology-driven environments and users. Practically, investigating the effects of atmospheric cues and decomposing process-based and outcome-based evaluations suggest different aspects that online merchants can work on to improve consumer experiences