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 …

Artificial intelligence in customer-facing financial services: a systematic literature review and agenda for future research

JK Hentzen, A Hoffmann, R Dolan… - International Journal of …, 2022 - emerald.com
Purpose The objective of this study is to provide a systematic review of the literature on
artificial intelligence (AI) in customer-facing financial services, providing an overview of …

Artificial intelligence and the conduct of literature reviews

G Wagner, R Lukyanenko… - Journal of Information …, 2022 - journals.sagepub.com
Artificial intelligence (AI) is beginning to transform traditional research practices in many
areas. In this context, literature reviews stand out because they operate on large and rapidly …

[HTML][HTML] Designing a feature selection method based on explainable artificial intelligence

J Zacharias, M von Zahn, J Chen, O Hinz - Electronic Markets, 2022 - Springer
Nowadays, artificial intelligence (AI) systems make predictions in numerous high stakes
domains, including credit-risk assessment and medical diagnostics. Consequently, AI …

[图书][B] Retooling politics: How digital media are shaping democracy

A Jungherr, GR Rodríguez, G Rivero, D Gayo-Avello - 2020 - books.google.com
Donald Trump, the Arab Spring, Brexit: digital media have provided political actors and
citizens with new tools to engage in politics. These tools are now routinely used by activists …

[图书][B] Essentials of business research methods

J Hair Jr, M Page, N Brunsveld - 2019 - taylorfrancis.com
In an era of big data and data analytics, how can managers make decisions based on
almost unlimited information, not to mention hiring and retaining individuals with the …

[PDF][PDF] NEXT-GENERATION INFORMATION SYSTEMS THEORIZING: A CALL TO ACTION.

A Burton-Jones, BS Butler, SV Scott, SX Xu - MIS quarterly, 2021 - misq.umn.edu
Theorizing is the intellectual engine of a scholarly community. With this special issue, we
hope to inspire the IS community to reaffirm its commitment to developing foundational …

[图书][B] Enhancing social media analysis with visual data analytics: A deep learning approach

D Shin, S He, GM Lee, AB Whinston, S Cetintas… - 2020 - researchgate.net
This research methods article proposes a visual data analytics framework to enhance social
media research using deep learning models. Drawing on the literature of information …

Online consumer shopping behaviour: A review and research agenda

K Singh, R Basu - International Journal of Consumer Studies, 2023 - Wiley Online Library
Over the last two decades, motivated by the continuous evolution of the technology‐driven
retail environment, researchers have studied various aspects of online consumer behaviour …

[HTML][HTML] Conceptualising value creation in data-driven services: The case of vehicle data

C Kaiser, A Stocker, G Viscusi, M Fellmann… - International Journal of …, 2021 - Elsevier
The creation of data-driven services generates new value streams, leading to the
emergence of new actors and ultimately to new market configurations. In the automotive …