Understanding reviewer characteristics in online reviews via network structural positions
User trust in artificial intelligence: A comprehensive conceptual framework
Game-swinging on Twitch: an affordances perspective
Artificial intelligence and machine learning
Microexpressions in digital humans: perceived affect, sincerity, and trustworthiness
From private digital platforms to public data spaces: implications for the digital transformation
Compatibility promotion between platforms: The role of open technology standards and giant platforms
Anthropomorphism in AI-enabled technology: A literature review
Uncovering the digitalization impact on consumer decision-making for checking accounts in banking
Building digital platform ecosystems through standardization: an institutional work approach
Towards AI application marketplaces - an interview with Dorian Selz
Explaining consumer suspicion: insights of a vignette study on online product reviews
Value proposition of IoT-based products and services: a framework proposal
Explaining reviewing effort: Existing reviews as potential driver
The transparency challenge of blockchain in organizations
Improving customer satisfaction in proactive service design
On the potentials of quantum computing – An interview with Heike Riel from IBM Research
Cultural differences in hospitality service evaluations: mining insights of user generated content
Cultural differences in processing online customer reviews: holistic versus analytic thinkers
Rural smartness: Its determinants and impacts on rural economic welfare
Developing design principles to standardize e-commerce ecosystems
Data modalities, consumer attributes and recommendation performance in the fashion industry
Service robots’ anthropomorphism: dimensions, factors and internal relationships
Network promoter score (NePS): An indicator of product sales in E-commerce retailing sector
Systematizing the lexicon of platforms in information systems: a data-driven study
Designing a feature selection method based on explainable artificial intelligence
Invite everyone to the table, but not to every course
A nascent design theory for explainable intelligent systems