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Full-Text Articles in Science and Technology Studies
The Drivers Of Academic Novelty In Digital Capitalism: Job Insecurity, Mental Illness And Time Poverty, Adalberto Fernandes
The Drivers Of Academic Novelty In Digital Capitalism: Job Insecurity, Mental Illness And Time Poverty, Adalberto Fernandes
Emancipations: A Journal of Critical Social Analysis
The present-day digital capitalist academy increases novel academic results by leveraging factors such as precarious academic employment, time poverty, and mental illness. This paradigm reveals a confluence that turns seemingly negative aspects into productive elements. The consequence of this hypothesis is that by enhancing work, time and mental health conditions, there may be a reduction in the number of novelties, with an enhancement of academic's role as producers of truth.
The Impact Of Social Media On Charitable Giving For Nonprofit Organization, Namchul Shin
The Impact Of Social Media On Charitable Giving For Nonprofit Organization, Namchul Shin
Journal of International Technology and Information Management
Research has extensively studied nonprofit organizations’ use of social media for communications and interactions with supporters. However, there has been limited research examining the impact of social media on charitable giving. This research attempts to address the gap by empirically examining the relationship between the use of social media and charitable giving for nonprofit organizations. We employ a data set of the Nonprofit Times’ top 100 nonprofits ranked by total revenue for the empirical analysis. As measures for social media traction, i.e., how extensively nonprofits draw supporters on their social media sites, we use Facebook Likes, Twitter Followers, and Instagram …
Key Issues Of Predictive Analytics Implementation: A Sociotechnical Perspective, Leida Chen, Ravi Nath, Nevina Rocco
Key Issues Of Predictive Analytics Implementation: A Sociotechnical Perspective, Leida Chen, Ravi Nath, Nevina Rocco
Journal of International Technology and Information Management
Developing an effective business analytics function within a company has become a crucial component to an organization’s competitive advantage today. Predictive analytics enables an organization to make proactive, data-driven decisions. While companies are increasing their investments in data and analytics technologies, little research effort has been devoted to understanding how to best convert analytics assets into positive business performance. This issue can be best studied from the socio-technical perspective to gain a holistic understanding of the key factors relevant to implementing predictive analytics. Based upon information from structured interviews with information technology and analytics executives of 11 organizations across the …