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This paper investigates how information timeliness and richness affect public engagement using text data from China's largest social media platform during times of the COVID-19 pandemic. We utilize a similarity calculation method based on natural language processing (NLP) and text mining to evaluate three dimensions of information timeliness: retrospectiveness, immediateness, and prospectiveness. Public engagement is divided into breadth and depth. The empirical results show that information retrospectiveness is negatively associated with public engagement breadth but positively with depth. Both information immediateness and prospectiveness improved the breadth and depth of public engagement. Interestingly, information richness has a positive moderating effect on the relationships between information retrospectiveness, prospectiveness, and public engagement breadth but no significant effects on immediateness; meanwhile, it has a negative moderating effect on the relationship between retrospectiveness and depth but a positive effect on immediateness, prospectiveness. In the extension analysis, we constructed a supervised NLP model to identify and classify health emergency-related information (epidemic prevention and help-seeking) automatically. We find that public engagement differs in the two emergency-related information categories. The findings can promote a more responsive public health strategy that magnifies the transfer speed for critical information and mitigates the negative impacts of information uncertainty or false information.

In the digital economy, firms' IT resource investments represent a significant portion of their capital investments. IT governance processes are critical for companies to decide what and how to deploy IT resources and measure and achieve the expected business benefits. This study introduces and measures the concept of IT governance process capability, which is defined as the firm's ability to identify, design, implement and leverage the following IT governance processes: IT decision-making, IT planning, IT infrastructure modernization, IT services delivery, and IT monitoring. We propose that IT governance process capability can improve IT performance, which in turn can improve business performance. Using a unique dataset from 881 global companies, we found support for the proposed research model. This paper contributes to the Information Systems (IS) literature on business value of IT by conceptualizing, evaluating, and introducing the construct of IT governance process capability and theorizing and proving how this core IT capability positively affects IT performance to enhance business performance.

The recent COVID-19 pandemic has clearly shown how agricultural foods and e-commerce initiatives are critical for many organizations, regions, and countries worldwide. Despite this vital importance, prior IS research on the business value of IT has not paid enough attention to the potential specificities of the agribusinesses. This study examines the impact of e-commerce capability on business agility in agribusinesses. Using a sample of Chinese agriculture firms, we find that: 1) The e-commerce capability of agribusinesses enables two types of business agility: market capitalizing agility and operational adjustment agility, and 2) while environmental complexity positively moderates the effects of e-commerce capability on the market capitalizing agility and operational adjustment agility, environmental dynamism does not. This study contributes to the IS research on the business value of IT by providing an eloquent theoretical explanation and empirical evidence on how e-commerce capability help agricultural firms to thrive through complexity by enabling market capitalizing agility (strategic focus) and operational adjustment agility (operational focus)., Highlights • Agricultural foods and e-commerce initiatives are critical worldwide. • Specificities of the agribusiness context worldwide and in China. • E-commerce capability enables agribusinesses to thrive through complexity. • Rationale: E-commerce capability facilitates business agility to agribusinesses. • This paper contributes to IS research on business value of e-commerce initiatives.

Can social media-driven customer engagement help movie producers to increase movie sales? Movie producers use social media to boost customer engagement; however, our understanding of whether there is a relationship between pre-consumption customer engagement and movie sales is limited. This research explores what drives the success of movies on the opening-weekend. We examine the relationship between pre-consumption customer engagement driven by social media (i.e., personal and interactive engagement) and movie performance (i.e., opening-weekend box office revenues). Driven by the debate about the potential capacity of social media-driven customer engagement to improve movie performance and the limited understanding of the association of pre-consumption customer engagement and movie performance, this research suggests that social media-enabled customer engagement (i.e., personal and interactive engagement) has the potential to improve movie performance, and these two types of engagement can interact to make this effect stronger. We analyze these relationships drawing from the uses and gratifications theory and the social media affordances perspective that motivate customers to interact in social media. The theoretical model evaluation was tested on a unique and original dataset composed of 966 movies released in the U.K. and Spain. The empirical analysis suggests that personal and interactive engagement are positively related to movie performance, and the positive effects of personal and interactive engagement on movie performance are mutually reinforcing. This research contributes to Information Systems (IS) research by theorizing and empirically showing how customer engagement driven by social media creates business value by improving movie performance.

The short-term room rental online platforms have boomed in the era of digital business acceleration, as they offer excellent opportunities for interactive behavior between host and guests. However, pursuing customer repeated bookings is a challenge on these platforms. How to increase customer repeated bookings in the short-term room rental market? We examine theoretically and empirically this crucial research question. Drawing on the theoretical foundations of the social interaction theory, we identify and study three host-guest interactions that can affect customer repeated bookings: overall interaction, individual interaction, and offline interaction. We conduct a combination of empirical methods, including text mining and econometrics, using longitudinal data of 36,072 order records and review contents from 5002 listings and 2181 hosts in six cities Xiaozhu.com , which is a prevalent short-term room rental services provider in China. We find that overall host-guest interaction (online reply rate, acceptance rate, confirmation time) and individual host-guest interaction (the existence of individual interaction, absolute text length, and text similarity) increase customer repeated bookings. We also discover that offline host-guest interaction is a substitute for the effect of individual interaction (existence, text length, and similarity) on customer repeated bookings.