We prove a-posteriori error-estimates for reduced-order modeling of quasilinear parabolic PDEs with non-monotone nonlinearity. We consider the solution of a semi-discrete in space equation as reference, and therefore incorporate reduced basis-, empirical interpolation-, and...

This study intends to provide scholars and practitioners with an understanding of human resource challenges in the context of Big Data Analytics (BDA). This paper provides a holistic framework of human-related capabilities that organizations must consider when implementing BDA to facilitate...

Today, intelligent systems that offer artificial intelligence capabilities often rely on machine learning. Machine learning describes the capacity of systems to learn from problem-specific training data to automate the process of analytical model building and solve associated tasks. Deep...

There is a lively debate on chief digital officers (CDOs). Some practitioners stress CDOs' critical role in recrafting digital strategies and accelerating digital transformation, while others predict their disappearance. Academics have also recently begun to study this new executive position and...

Since the use of business analytics promises automation of business processes and time savings, the budgeting process seems predestined for the integration of analytical methods. Therefore, this study examines the determinants of the use of business analytics in the budgeting process and its...

This paper is devoted to a theoretical and numerical investigation of Nash equilibria and Nash bargaining problems governed by bilinear (input-affine) differential models. These systems with a bilinear state-control structure arise in many applications in, e.g., biology, economics, physics,...

In situations when Information Systems (IS) do not work as intended, using IS might hinder their users and let them perceive technostress; this then comes along with reduced user performance and high perceptions of exhaustion, among others. To alleviate these consequences, a mitigating behavior...

Data quality is critical to adequately perform management accounting (MA) tasks, and information systems (IS) provide the data for the MA domain. However, IS can vary vastly across firms, which may influence the basis for rational decision making (i.e., data quality). This study therefore aims...

Initial coin offerings (ICOs) are a novel form of funding that has driven billions of dollars into the blockchain ecosystem, potentially challenging traditional funding vehicles such as business angel or venture capital investments. However, little is known of entrepreneurs’ rationales for...

Artificial intelligence (AI) brings forth many opportunities to contribute to the wellbeing of individuals and the advancement of economies and societies, but also a variety of novel ethical, legal, social, and technological challenges. Trustworthy AI (TAI) bases on the idea that trust builds...