[HTML][HTML] Machine learning, knowledge risk, and principal-agent problems in automated trading
C Borch - Technology in society, 2022 - Elsevier
Present-day securities trading is dominated by fully automated algorithms. These algorithmic
systems are characterized by particular forms of knowledge risk (adverse effects relating to …
systems are characterized by particular forms of knowledge risk (adverse effects relating to …
An evaluation framework of IT‐enabled service‐oriented manufacturing
Y Sun, Y He, H Yu, H Wang - Systems Research and …, 2022 - Wiley Online Library
Abstract Service‐oriented manufacturing (SOM) strategy is a new manufacturing mode by
integrating servitization with the traditional manufacturing industry. As a vital paradigm of …
integrating servitization with the traditional manufacturing industry. As a vital paradigm of …
[HTML][HTML] Assessment of Personal Values for Data-Driven Human Resource Management
T Kimura - Data Science Journal, 2023 - datascience.codata.org
Business organizations have introduced data analytics to human resource management
(HRM) to predict employee behavior in recent years. This practice is called HR analytics …
(HRM) to predict employee behavior in recent years. This practice is called HR analytics …
[HTML][HTML] Effective machine learning, Meta-heuristic algorithms and multi-criteria decision making to minimizing human resource turnover
N Pourkhodabakhsh, MM Mamoudan… - Applied Intelligence, 2023 - Springer
Employee turnover is one of the most important issues in human resource management,
which is a combination of soft and hard skills. This makes it difficult for managers to make …
which is a combination of soft and hard skills. This makes it difficult for managers to make …
Identification of potential biomarkers in stomach adenocarcinoma using machine learning approaches
Background: Stomach adenocarcinoma (STAD) is a common cancer with poor clinical
outcomes globally. Due to a lack of early diagnostic markers of disease, the majority of …
outcomes globally. Due to a lack of early diagnostic markers of disease, the majority of …
Towards a paradigm shift: how can machine learning extend the boundaries of quantitative management scholarship?
Management scholarship is beginning to grapple with the growing popularity of machine
learning (ML) as an analytical tool. While quantitative research in our discipline remains …
learning (ML) as an analytical tool. While quantitative research in our discipline remains …
[HTML][HTML] An ensemble learning model for predicting the intention to quit among employees using classification algorithms
AK Biswas, R Seethalakshmi, P Mariappan… - Decision Analytics …, 2023 - Elsevier
Employees are often more likely to use social media for job searching, which sometimes
causes withdrawal behaviour. This study proposes an ensemble learning model for …
causes withdrawal behaviour. This study proposes an ensemble learning model for …
Drilling down artificial intelligence in entrepreneurial management: A bibliometric perspective
X Li, Y Long, M Fan, Y Chen - Systems Research and …, 2022 - Wiley Online Library
Artificial intelligence (AI) has been adopted in entrepreneurial practices and generates huge
economic benefits. It creates a number of digital start‐ups and changes the way in which …
economic benefits. It creates a number of digital start‐ups and changes the way in which …
Comparative Analysis of Entropy Weight Method and C5 Classifier for Predicting Employee Churn
M Chaudhary, L Gaur… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
As per Aon, three out of four employees leave voluntarily, hence making employee churn
(EC) a key issue that has an adverse impact on the productivity and growth of the …
(EC) a key issue that has an adverse impact on the productivity and growth of the …
Analysis and classification of employee attrition and absenteeism in industry: A sequential pattern mining-based methodology
Employee attrition and absenteeism are major problems that affect many industries and
organizations, resulting in diminished productivity, elevated costs, and losses. These …
organizations, resulting in diminished productivity, elevated costs, and losses. These …