[HTML][HTML] Forecasting: theory and practice

F Petropoulos, D Apiletti, V Assimakopoulos… - International Journal of …, 2022 - Elsevier
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 …

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 …

Corporate digital responsibility in service firms and their ecosystems

J Wirtz, WH Kunz, N Hartley… - Journal of Service …, 2023 - journals.sagepub.com
Digitization, artificial intelligence, and service robots carry serious ethical, privacy, and
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 …

Machine learning methods that economists should know about

S Athey, GW Imbens - Annual Review of Economics, 2019 - annualreviews.org
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 …

Artificial intelligence: the ambiguous labor market impact of automating prediction

A Agrawal, JS Gans, A Goldfarb - Journal of Economic Perspectives, 2019 - aeaweb.org
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 …

Textual analysis in accounting: What's next?

K Bochkay, SV Brown, AJ Leone… - Contemporary …, 2023 - Wiley Online Library
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 …

[HTML][HTML] Stability in turbulent times? The effect of digitalization on the sustainability of competitive advantage

ES Knudsen, LB Lien, B Timmermans, I Belik… - Journal of Business …, 2021 - Elsevier
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 …

Storytelling to sensemaking: A systematic framework for designing auditory description display for interactives

TL Smith, EB Moore - Proceedings of the 2020 CHI Conference on …, 2020 - dl.acm.org
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 …

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 …