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This study uniquely employs a fuzzy-set qualitative comparative analysis (fsQCA) technique to account for complex relationships in consumption. The fsQCA technique assumes that relationships are based on a set–subset relationship. This assumption is fundamental when decision-makers are affected by information asymmetry and are, thus, required to jointly evaluate the credi-bility and reliability of a range of external signals. This issue also affects consumers in markets for cultural goods, where the quality of products is not known with certainty in advance of the purchase decision. Our study uses fsQCA to establish the effect of different quality signals on consumption in the US market for video game software. Our results show that reviews from professional critics alongside brand extension and multi-platform release strategies act as signals of product quality and, therefore, lead to high sales performance.

Digital streaming has had a profound effect on the commercial music sector and now accounts for 80% of industry revenues in the United States. This study investigates the consumption of music on digital streaming platforms by analyzing the factors affecting the chart survival of individual music tracks. Our data are taken from the Spotify Global Top 200 between January 2017 and January 2020, containing observations on 3,007 unique tracks by 642 artists over 1,087 days. We identify a number of unique consumption traits applicable to online streaming services, which we use to explain variations in chart longevity. We find a positive association between the amount of time a track spends in the chart and the involvement of a major label. We also find that the level of competition from other chart entries, as well as some elements related to the pattern of diffusion, associates significantly with the likelihood of chart survival. The study highlights several important managerial implications for key industry stakeholders.

The concept of social capital has attracted much attention from researchers and policy makers, largely due to links with positive social outcomes and philanthropic acts such as volunteering and donations. However, a rapid growth in Internet technologies and social media networks has fundamentally affected the formation of social capital, as well as the way in which it potentially associates with prosocial behaviors. This study uses unique data from a survey of online volunteers to explore the interrelationships between social capital and a mix of self-reported and observed philanthropic activities in both online and offline settings. Our results show that while social capital levels associate strongly with offline donations, there are key differences in the relationships between social capital and volunteering in online and offline settings. Using two-stage least squares (2SLS) regression analysis to control for endogeneity, we also infer a number of causal relationships between social capital and philanthropy.

Advances in Internet technology are making it possible for individuals to volunteer online and participate in research-based activities of nonprofit organizations. Using survey data from a representative sample of such contributors, this study investigates their motivations to volunteer for five online volunteering projects using the Volunteer Functions Inventory. We explore relationships between these six categories of motivation and actual recorded measures of both volunteer activity and retention. We also use quantile regression analysis to investigate the extent to which these motivations change at different stages in the volunteer process. Our results show that volunteers’ activity and retention tend to associate significantly and positively with the motivations of understanding and values, as well as significantly and negatively with the social and career motivations. We also find the importance of motivations changes significantly across the stages of volunteer engagement. In some cases, especially the understanding motivation, the changes observed for activity and retention are markedly different.

Advances in Internet technology are making it possible for individuals to volunteer online and participate in research-based activities of nonprofit organizations. Using survey data from a representative sample of such contributors, this study investigates their motivations to volunteer for five online volunteering projects using the Volunteer Functions Inventory. We explore relationships between these six categories of motivation and actual recorded measures of both volunteer activity and retention. We also use quantile regression analysis to investigate the extent to which these motivations change at different stages in the volunteer process. Our results show that volunteers’ activity and retention tend to associate significantly and positively with the motivations of understanding and values, as well as significantly and negatively with the social and career motivations. We also find the importance of motivations changes significantly across the stages of volunteer engagement. In some cases, especially the understanding motivation, the changes observed for activity and retention are markedly different.