In this paper, we use a panel dataset of 15988 videos from 6826 online video producers across 17 markets on a large video-sharing platform to examine the impact of social signals on video viewership, with a particular focus on investigating the moderating role of the market competition. This study reports that social presence and endorsement are critical social signals that viewers use to predict viewing experience and video content quality. Notably, the results find strong evidence that the effectiveness of these social signals on video viewership is substantially contingent on the platform's market competition conditions at the producer and product level. More specifically, in highly (+1SD) competitive markets at the product level, social presence and social endorsement have a 2.92% and 3.46% less positive impact on video viewership, respectively, compared to low (-1SD) competitive markets. On the other hand, markets with high (+1SD) concentration, where there is a lack of competition at the producer level, increase the impact of these signals on video viewership by 7.55% and 6.22%, respectively, compared to markets with low (-1SD) concentration.

Drawing from the extant literature on consumer behaviors in the context of mobile commerce (m-commerce) and integrating expectation confirmation theory and motivation theory, this study develops an integrated model to explore factors affecting the continued usage of m-commerce applications (apps). Data is collected via an online survey distributed through Amazon Mechanical Turk and analyzed using PLS-SEM. Results reveal three major categories of motivators, each with multiple dimensions, that differentially affect utilitarian expectation confirmation and hedonic expectation confirmation. Specifically, extrinsic value (i.e., convenience, efficiency, and informativeness) positively affects utilitarian expectation confirmation; intrinsic value (i.e., value motivation, role motivation, adventure motivation, gratification motivation, and idea motivation) positively affects hedonic expectation confirmation; and social value (i.e., social motivation, subjective norm, and critical mass) positively affects both utilitarian expectation confirmation and hedonic expectation confirmation. Our results provide insights into both theory and practice.

An increasing proportion of information technology (IT)/information system adoption research collects data using online surveys. However, a paucity of research assesses the equivalence of paper-based versus Internet-based surveys in collectivistic cultures. Furthermore, no theoretical or empirical research investigates how cultural differences between collectivistic and individualistic cultures influence the measurement equivalence (ME) of these survey modes. To explore these issues, online and paper-based surveys with comparable samples were carried out in both an individualistic (the USA) and a collectivistic culture (China). Confirmatory factor analysis was conducted to examine the ME across both survey modes in these different cultures. Results indicate that the relatively larger satisficing discrepancy between paper and online surveys causes respondents in collectivistic cultures to have an increased likelihood of providing responses that vary as compared to respondents in individualistic cultures. The disparate responses, in turn, result in increased measurement variance between the two survey modes. The findings of this study bridge a gap in the literature and address the question of how culture influences online satisficing behaviour and how that behaviour causes measurement invariance across survey modes. This study also explains the possible underlying mechanisms by which different national cultures exert their influence on survey results. The findings provide important implications for IT researchers, especially those in collectivistic cultures or those who need to collect data in collectivistic cultures using online surveys or mixed-mode surveys that include an online survey mode.