Data science roadmapping: An architectural framework for facilitating transformation towards a data-driven organization

K Kayabay, MO Gökalp, E Gökalp, PE Eren… - … Forecasting and Social …, 2022 - Elsevier
Leveraging data science can enable businesses to exploit data for competitive advantage
by generating valuable insights. However, many industries cannot effectively incorporate …

Navigating AI unpredictability: Exploring technostress in AI-powered healthcare systems

H Issa, J Jaber, H Lakkis - Technological Forecasting and Social Change, 2024 - Elsevier
The adoption of AI-powered systems in healthcare has revolutionized the field by
introducing autonomous diagnostics and predictions, though it remains a source of debate …

Human–Artificial Intelligence Collaboration in Prediction: A Field Experiment in the Retail Industry

E Revilla, MJ Saenz, M Seifert, Y Ma - Journal of Management …, 2023 - Taylor & Francis
This study investigates the role of human intervention in artificial intelligence/machine
learning (AIML)-driven predictions. By doing so, we distinguish between three different types …

Automation-augmentation paradox in organizational artificial intelligence technology deployment capabilities; an empirical investigation for achieving simultaneous …

A Kumar, SS Bhattacharyya… - Journal of Enterprise …, 2023 - emerald.com
Purpose The purpose of this research study was to understand the simultaneous competitive
and social gains of machine learning (ML) and artificial intelligence (AI) usage in …

Machine learning and artificial intelligence-induced technostress in organizations: a study on automation-augmentation paradox with socio-technical systems as …

A Kumar, B Krishnamoorthy… - International Journal of …, 2024 - emerald.com
Purpose This research study aims to inquire into the technostress phenomenon at an
organizational level from machine learning (ML) and artificial intelligence (AI) deployment …

[PDF][PDF] Developing an Artificial Intelligence Maturity Model for Auditing.

P Fukas, J Rebstadt, F Remark, O Thomas - ECIS, 2021 - researchgate.net
Artificial Intelligence (AI) is increasingly being used in various domains including highly
regulated areas such as auditing. Although the use of AI in auditing may seem promising at …

Research status, hotspots, and evolutionary trends of intelligent education from the perspective of knowledge graph

D Shi, J Zhou, D Wang, X Wu - Sustainability, 2022 - mdpi.com
Intelligent education research has become a research hotspot in recent years. The
Citespace software that operates a graph visualization function was used to clarify the …

Artificial intelligence to manage workplace bullying

MM De Obesso, CAP Rivero, OC Márquez - Journal of Business …, 2023 - Elsevier
This research links the efficiency of artificial intelligence (AI) to the work climate. The aim is
to compare whether workers would feel comfortable dealing with a case of harassment at …

Riding a bicycle while building its wheels: the process of machine learning-based capability development and IT-business alignment practices

T Mucha, S Ma, K Abhari - Internet Research, 2023 - emerald.com
Purpose Recent advancements in Artificial Intelligence (AI) and, at its core, Machine
Learning (ML) offer opportunities for organizations to develop new or enhance existing …

From worker empowerment to managerial control: The devolution of AI tools' intended positive implementation to their negative consequences

E Monod, AS Mayer, D Straub, E Joyce, J Qi - Information and Organization, 2024 - Elsevier
AI systems are increasingly being deployed in organizations to support customer service
(CS) departments. However, in practice, the introduction of AI tools often fails to meet these …