Research findings on how participation in social networking sites (SNSs) affects users’ subjective well-being are equivocal. Some studies suggest a positive impact of SNSs on users’ life satisfaction and mood, whereas others report undesirable consequences such as depressive symptoms and anxiety. However, whereas the factors behind the positive effects have received significant scholarly attention, little is known about the mechanisms that underlie the unfavorable consequences. To fill this gap, this study uses social comparison theory and the responses of 1,193 college-age Facebook users to investigate the role of envy in the SNS context as a potential contributor to those undesirable outcomes. Arising in response to social information consumption, envy is shown to be associated with reduced cognitive and affective well-being as well as increased reactive self-enhancement. These preliminary findings contribute to the growing body of information systems research investigating the dysfunctional consequences of information technology adoption in general and social media participation in particular.

No abstract

No abstract

Software-as-a-Service (SaaS) has been heralded by IT providers as a serious alternative to on-premises software. However, its acceptance among software using companies has been inconsistent across application types. While some SaaS providers (e. g. Salesforce.com for CRM) were successful in establishing a sustainable business model, others (e. g. SAP with Business ByDesign for ERP) still have difficulties to gain a stronger foothold. To better understand this discrepancy, we empirically examined main drivers and inhibiting factors of SaaS-adoption for different application types. Our analysis shows that social influence, the pre-existing attitude toward SaaS-adoption, adoption uncertainty, and strategic value are the most consistent drivers. Furthermore, our study reveals that company size does not matter in SaaS-adoption.

In the context of the wide-spread digitization of businesses and society at large, the logic inherent in a business model has become critical for business success and, hence, a focus for academic inquiry. The business model concept is identified as the missing link between business strategy, processes, and Information Technology (IT). The BISE community offers distinct and unique competencies that can be harnessed for significant research contributions to this field. Three distinct streams are delineated, namely, business models in IT industries, IT enabled or digital business models, and IT support for developing and managing business models.