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 …
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 …
today, business interactions on different platforms have changed business dynamics …
Does big data enhance firm innovation competency? The mediating role of data-driven insights
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 …
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
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 …
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
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 …
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 …
the power of analytics to guide decision-making. While many firms have invested in data …
A transparency index framework for AI in education
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 …
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
Background Rehabilitation treatments and services are essential for the recovery of post-
stroke patients' functions; however, the increasing number of available therapies and the …
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
Purpose This study demonstrates how artificial intelligence (AI) shapes the strategic
planning process in volatile, uncertain, complex and ambiguous (VUCA) business …
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 …
govern the development of key factors influencing the enhancement of emotionally …