Artificial intelligence: Implications for the future of work

J Howard - American journal of industrial medicine, 2019 - Wiley Online Library
Artificial intelligence (AI) is a broad transdisciplinary field with roots in logic, statistics,
cognitive psychology, decision theory, neuroscience, linguistics, cybernetics, and computer …

Artificial intelligence for decision support systems in the field of operations research: review and future scope of research

S Gupta, S Modgil, S Bhattacharyya, I Bose - Annals of Operations …, 2022 - Springer
Operations research (OR) has been at the core of decision making since World War II, and
today, business interactions on different platforms have changed business dynamics …

Does big data enhance firm innovation competency? The mediating role of data-driven insights

M Ghasemaghaei, G Calic - Journal of Business Research, 2019 - Elsevier
Grounded in gestalt insight learning theory and organizational learning theory, we collected
data from 280 middle and top-level managers to investigate the impact of each big data …

Do innovative teachers use AI-powered tools more interactively? A study in the context of diffusion of innovation theory

O Uzumcu, H Acilmis - Technology, Knowledge and Learning, 2024 - Springer
The aim of this study is to examine the integration of AI-powered tools into the lessons in the
context of the diffusion of innovation theory. One of the main features of AI-powered tools is …

[HTML][HTML] What drives managers towards algorithm aversion and how to overcome it? Mitigating the impact of innovation resistance through technology readiness

H Mahmud, AKMN Islam, RK Mitra - Technological Forecasting and Social …, 2023 - Elsevier
Artificial intelligence has been increasingly used in many managerial decision-making
contexts for its superior performance. However, many managers are still averse to using AI …

An analytical journey towards big data

G Phillips-Wren, A Hoskisson - Journal of Decision Systems, 2015 - Taylor & Francis
Companies are realising the potential value of data to gain insight into their customers and
the power of analytics to guide decision-making. While many firms have invested in data …

A transparency index framework for AI in education

MA Chaudhry, M Cukurova, R Luckin - International conference on artificial …, 2022 - Springer
Numerous AI ethics checklists and frameworks have been proposed focusing on different
dimensions of ethical AI such as fairness, explainability, and safety. Yet, no such work has …

Cross-validation of predictive models for functional recovery after post-stroke rehabilitation

S Campagnini, P Liuzzi, A Mannini, B Basagni… - Journal of …, 2022 - Springer
Background Rehabilitation treatments and services are essential for the recovery of post-
stroke patients' functions; however, the increasing number of available therapies and the …

Artificial intelligence (AI) and strategic planning process within VUCA environments: a research agenda and guidelines

R Biloslavo, D Edgar, E Aydin, C Bulut - Management Decision, 2024 - emerald.com
Purpose This study demonstrates how artificial intelligence (AI) shapes the strategic
planning process in volatile, uncertain, complex and ambiguous (VUCA) business …

Or-based intelligent decision support system for e-commerce

K Zong, Y Yuan, CE Montenegro-Marin… - Journal of Theoretical …, 2021 - mdpi.com
Aim: This paper aims to analyze, prepare, and review the general guidelines and rules that
govern the development of key factors influencing the enhancement of emotionally …