[HTML][HTML] Forecasting: theory and practice
Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
Theory building with big data-driven research–Moving away from the “What” towards the “Why”
AK Kar, YK Dwivedi - International Journal of Information Management, 2020 - Elsevier
Data availability and access to various platforms, is changing the nature of Information
Systems (IS) studies. Such studies often use large datasets, which may incorporate …
Systems (IS) studies. Such studies often use large datasets, which may incorporate …
Corporate digital responsibility in service firms and their ecosystems
Digitization, artificial intelligence, and service robots carry serious ethical, privacy, and
fairness risks. Using the lens of corporate digital responsibility (CDR), we examine these …
fairness risks. Using the lens of corporate digital responsibility (CDR), we examine these …
What impacts customer experience for B2B enterprises on using AI-enabled chatbots? Insights from Big data analytics
AK Kushwaha, P Kumar, AK Kar - Industrial Marketing Management, 2021 - Elsevier
Many B2B firms have widely accepted AI-based chatbots to provide human-like service
interaction at different customer touchpoints in recent years. One of the objectives behind …
interaction at different customer touchpoints in recent years. One of the objectives behind …
Machine learning methods that economists should know about
We discuss the relevance of the recent machine learning (ML) literature for economics and
econometrics. First we discuss the differences in goals, methods, and settings between the …
econometrics. First we discuss the differences in goals, methods, and settings between the …
Artificial intelligence: the ambiguous labor market impact of automating prediction
Recent advances in artificial intelligence are primarily driven by machine learning, a
prediction technology. Prediction is useful because it is an input into decision-making. In …
prediction technology. Prediction is useful because it is an input into decision-making. In …
Textual analysis in accounting: What's next?
Natural language is a key form of business communication. Textual analysis is the
application of natural language processing (NLP) to textual data for automated information …
application of natural language processing (NLP) to textual data for automated information …
[HTML][HTML] Stability in turbulent times? The effect of digitalization on the sustainability of competitive advantage
Does digitalization make competitive advantage more or less sustainable? One line of
argument is that digitalization leads to hyper-competition and shorter spells of competitive …
argument is that digitalization leads to hyper-competition and shorter spells of competitive …
Storytelling to sensemaking: A systematic framework for designing auditory description display for interactives
Auditory description display is verbalized text typically used to describe live, recorded, or
graphical displays to support access for people who are blind or visually impaired …
graphical displays to support access for people who are blind or visually impaired …
Machine learning: an applied econometric approach
S Mullainathan, J Spiess - Journal of Economic Perspectives, 2017 - aeaweb.org
Abstract Machines are increasingly doing “intelligent” things. Face recognition algorithms
use a large dataset of photos labeled as having a face or not to estimate a function that …
use a large dataset of photos labeled as having a face or not to estimate a function that …