Big data analytics capability (BDAC) is considered an aggregation of various types of firm-level resources. While BDAC’s impact on firm performance is well established in the literature, its effect on entrepreneurial orientation is an emerging area of research. This study first categorizes several BDAC resources into soft and hard components. Then, it examines whether these two big data components impact a firm’s entrepreneurial orientation differently across its three dimensions: proactiveness, innovativeness, and risk-taking. This study further investigates the extent to which proactive social media market orientation mediates the relationship between BDAC and the enactment of entrepreneurial orientation. Based on data from 253 British firms, the findings from combined PLS-SEM and fsQCA analyses offer broad support for a contextual view of the value of big data for entrepreneurship in the social media-induced digital era, thereby making a significant theoretical and practical contribution to the field of information systems.

Fake news has led to a polarized society as evidenced by diametrically opposed perceptions of and reactions to global events such as the Coronavirus Disease 2019 (COVID-19) pandemic and presidential campaigns. Popular press has linked individuals’ political beliefs and cultural values to the extent to which they believe in false content shared on social networking sites (SNS). However, sweeping generalizations run the risk of helping exacerbate divisiveness in already polarized societies. This study examines the effects of individuals’ political beliefs and espoused cultural values on fake news believability using a repeated-measures design (that exposes individuals to a variety of fake news scenarios). Results from online questionnaire-based survey data collected from participants in the US and India help confirm that conservative individuals tend to exhibit increasing fake news believability and show that collectivists tend to do the same. This study advances knowledge on characteristics that make individuals more susceptible to lending credence to fake news. In addition, this study explores the influence exerted by control variables (i.e., age, sex, and Internet usage). Findings are used to provide implications for theory as well as actionable insights.

Artificial intelligence (AI) has been heralded by many as the next source of business value. Grounded on the resource-based theory of the firm and on recent work on AI at the organizational context, this study (1) identifies the AI-specific resources that jointly create an AI capability and provides a definition, (2) develops an instrument to capture the AI capability of the firms, and (3) examines the relationship between an AI capability and organizational creativity and performance. Findings empirically support the suggested theoretical framework and corresponding instrument and provide evidence that an AI capability results in increased organizational creativity and performance.