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In current unpredictable environments, it is essential to understand customers' needs as quickly as possible. Social media platforms are important sources of knowledge and developing a social media capability is critical in quickly sensing customers' requirements. Social media capability can enable firms to co-create internal knowledge between employees, functional departments, and business units and external knowledge with customers. Despite the potential of social media for innovation, prior research has not studied the internal processes that should be developed to manage and leverage the information obtained through social media. Drawing upon the IT-enabled organisational capabilities perspective and the social media affordances theory, this study proposes a research model on the impact of social media capability, social knowledge co-creation, and NPD dynamic capabilities on NPD performance. The research model was tested on a sample of large European firms using survey and secondary data. Results show that social media capability enhances NPD performance by enabling firms to co-create knowledge and developing NPD dynamic capabilities. This study contributes by: (1) operationalising and measuring social media capability and social knowledge co-creation; and (2) demonstrating how social media capability improves NPD performance by co-creating knowledge and developing NPD dynamic capabilities to develop new products. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) has emerged as a pivotal force in modern business transformation, garnering widespread attention from both practitioners and academics. With a notable exponential increase in AI‐related studies, we provide a research framework aiming to synthesize the existing literature on AI in the business field. We conduct a comprehensive review of AI research spanning from 2010 to 2023 in 25 leading business journals according to this review framework. Specifically, we review the literature from three research perspectives: (i) AI applications, (ii) human perceptions of AI, and (iii) AI behavior. We also identify five principal research questions and offer suggestions for future research directions. [ABSTRACT FROM AUTHOR]

Online retailers are increasingly focused on maintaining a long-term relationship with customers, encouraging repeat visits rather than single-time purchases to increase customer lifetime value. To help retailers maximize the probabilities of customers' revisiting and purchasing, we develop a two-stage model to better characterize and predict these two fundamental customer activities. In the first stage, we characterize the propensity of a customer revisiting the retailer's website. In the second stage, we develop a stochastic model that predicts revisits while also incorporating individual customer heterogeneity in exerted search effort during repeated visits. This heterogeneity is based on individual customer preferences in the choice of consideration sets, product information, pricing, and the search environment. Using customer level clickstream data, we show that our approach is not only better at predicting repeat customer visits, compared to existing methods, but also explainable and managerially interpretable. Most importantly, using computationally efficient simulation-based prescriptive analytics, we leverage our modeling approach to propose practical intervention strategies that maximize the joint likelihoods of customers revisiting and purchasing at the individual customer level. [ABSTRACT FROM AUTHOR]

Chief Information Officers (CIOs) influence their firm's strategy implementation and facilitate improved firm performance by effectively managing information technology (IT) resources. However, it remains unclear how firms select CIOs and how the stock market perceives the selection. We posit that firms' preferences regarding CIO background (business acumen versus technical expertise) depend on their strategic positioning. Also, we argue that the stock market pays attention to the alignment between the appointed CIO's background and firm strategy. To empirically examine this, we employ factor analysis on a sample of 1,287 CIOs with detailed biographic information on education, work experience, and certification to identify the CIO's background. Utilizing these measures, we examine whether the appointed CIO's background depends on the appointing firm's strategic positioning in a normative model. Then, we use a predictive model to test the stock market reactions to CIO appointments. We document that cost-leadership-leaning firms are more likely to appoint a CIO with a stronger business-oriented background, while differentiation-leaning firms are more likely to appoint a CIO with a stronger technical-oriented background. Interestingly, firms with misaligned CIO appointments suffer a negative stock market reaction. We discuss theoretical and practical implications of selecting aligned versus misaligned CIOs. [ABSTRACT FROM AUTHOR]

Social media platforms, such as Facebook, Instagram, and Twitter, are combating the spread of fake news by developing systems that allow their users to report fake news. However, it remains unclear whether these reporting systems that harness the "wisdom of the crowd" are effective. Notably, concerns have been raised that the popularity of videos may hamper users' reporting of fake news. The persuasive power of videos may render fake news more deceptive and less likely to be reported in practice. However, this is neither theoretically nor empirically straightforward, as videos not only affect users' ability to detect fake news, but also impact their willingness to report and their engagement (i.e., likes, shares, and comments) which would further spread fake news. Using a unique dataset from a leading social media platform, we empirically examine how including a video in a fake news post affects the number of users reporting the post to the platform. Our results indicate that including a video significantly increases the number of users reporting the fake news post to the social media platform. Additionally, we find that the sentiment intensity of the fake news text content, especially when the sentiment is positive, attenuates the effect of including a video. Randomized experiments and a set of mediation analyses are included to uncover the underlying mechanisms. We contribute to the information systems literature by examining how social media platforms can leverage their users to report fake news, and how different formats (e.g., videos and text) of fake news interact to influence users' reporting behavior. Social media platforms that seek to leverage the "wisdom of the crowd" to combat the proliferation of fake news should consider both the popularity of videos and the role of text sentiment in fake news to adjust their strategies. [ABSTRACT FROM AUTHOR]

Author(s): Manjit S. Yadav [sup.1] , Paul A. Pavlou [sup.2] Author Affiliations: (1) grid.264756.4, 0000 0004 4687 2082, Mays Business School, Texas A&M University, , 77843-4112, College Station, TX, USA [...]

Augmented Intelligence - effective human-computer symbiosis - has the potential to address emerging challenges successfully, possibly more so than pure AI. It integrates the unique abilities of human beings that cannot be replicated by AI. Large-scale IoT problems often cannot be solved by either computers or human beings alone. Therefore, there are significant opportunities in IoT applications that are coupled with the notion of Augmented Intelligence. Managers need to consider carefully for which task, in which way and to what extent IoT applications will be applied. They must make their choices based on the expected performance, cost and risk of autonomous IoT solutions that would operate without human oversight. For example, automated manufacturing, predictive maintenance and security IoT solutions may be cautiously fully automated. However, human-oriented applications, such as smart retail, could still maintain a certain level of human oversight.

Emerging literature has begun to investigate the role of technology in public health. Yet, a minimal amount is understood about whether, how, and why digital games, notably mobile games, might affect mental health, particularly depression. In this work, we examine the effect of location-based mobile gaming on local depression trends. We measure population-level depression using a well-established mechanism from the medical and public health literature, internet search of depression-related terms. We argue that the introduction of Pokémon Go, a mobile game that encourages outdoor physical activity, face-to-face socialization, and exposure to nature, may alleviate non-clinical forms of mild depression for users playing the game. To identify the effect, we employ a difference-in-differences approach to exploit the staggered release of Pokémon Go into 166 regions in 12 English-speaking countries. We empirically document a disproportionate decrease in depression-related search in those regions where users are able to play Pokémon Go. This finding lends credence to anecdotal claims that location-based mobile games may alleviate symptoms of depression of their users, underscoring the mental health opportunities of location-based mobile gaming and creating new opportunities for information systems research. [ABSTRACT FROM AUTHOR]

The proliferation of fake news on social media has become a major societal and political problem. Meanwhile, social media platforms have started to require identity verification from users and label the verified users with a verification badge, making users more responsible for their online behavior. In this study, we empirically investigate two research questions: 1) What is the impact of identity verification on users' propensity to post fake news? and 2) How does a verification badge moderate the impact of identity verification? Results suggest that while identity verification without a verification badge has a negative impact on users' posting of fake news, this impact is significantly weakened when users are granted a verification badge after identity verification. Given the criticisms on identity verification policies, these findings underscore both the potential upsides and risks for social media platforms seeking to combat fake news through identity verification techniques. [ABSTRACT FROM AUTHOR]

In this study, we examine how a firm’s decision to post on social media affects the propensity of its followers to (1) purchase its products and (2) unfollow the firm. Using a unique dataset from a large fashion retailer which frequently sends mass non-customized information-only posts on social media (i.e., non-coupons), findings indicate that such posts increase short-term purchases by 6%. However, these posts also increase followers’ propensity to unfollow the firm by 280%, significantly reducing long-term sales. Strikingly, this punitive effect ofsocial media posting appears to manifest under very specific circumstances. Results indicate that these changes in unfollowing and long-term sales are larger if posts are sent in more crowded cities or during commuting hours (suggesting that the stress formed by personal crowding and the follower’s environment may play a key role in followers’ reactions to social media postings). These results underscore the potential downsides of sending blanket, non-customized, messages to followers, notably during times ofintense psychological stress, as well as avenues to avoid such pitfalls. [ABSTRACT FROM AUTHOR]