Results 121 to 130 of about 432 (243)

A Framework for Subgroup Dynamics Through the System Dynamics Lens: An Integrative Review of the Attribute and the Network Views

open access: yesJournal of Organizational Behavior, EarlyView.
ABSTRACT Subgroups are dynamic entities evolving constantly in response to changing contexts and time. Although scholars from both the attribute and the network views have acknowledged that subgroups are inherently complex and fluid, research in these traditions has remained bifurcated, with limited efforts to integrate the two perspectives to more ...
Jinhee Moon   +3 more
wiley   +1 more source

Modelling Critical Impeding Factors of Gamification Adoption: An ISM‐MICMAC Analysis

open access: yesGlobal Business and Organizational Excellence, EarlyView.
ABSTRACT Gamification is a transformative technology that attracts consumers and motivates them toward desired actions through fun and engagement. Despite its growing popularity and influence on user behavior, gamification faces significant challenges in acceptance and implementation due to behavioral, technological, economic, and regulatory factors ...
Wamika Sharma   +4 more
wiley   +1 more source

Integrating Knowledge Management Into ERP Selection: A Fuzzy Multi‐Criteria Decision‐Making Model Based on Gray Theory in the Automotive Industry

open access: yesKnowledge and Process Management, EarlyView.
ABSTRACT Enterprise Resource Planning (ERP) systems are integrated business management tools used by organizations to manage data and processes across various functions. While financial and technical considerations remain central to ERP selection, sustainable success also depends on the system's ability to support Knowledge Management (KM).
Deniz Sadat Sebti Esmail Pour   +1 more
wiley   +1 more source

Fault Detection of Electric Motors via Symmetrized Dot Pattern‐Based Features

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This study proposes a novel symmetrized dot pattern (SDP) approach using designed SDP‐based features, extracted from transformed vibration signals, for fault detection. These features describe the compactness, inclination, and shape of the “snowflake” diagram distributions.
Mario Spirto   +6 more
wiley   +1 more source

Enhancing Rock Strength Prediction and Features Selection by Coupling Well Log Data and Deep Learning Approaches in Reservoir Geomechanics

open access: yesInternational Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Accurate rock strength parameters play a vital role in petroleum and mining operations for sustainable drilling activities, and wellbore stability analysis. This study investigates the applicability of deep learning techniques for assessing data‐driven models, and to conduct parametric sensitivity examination for feature attributes ranking to ...
Mohammad Islam Miah   +2 more
wiley   +1 more source

Different Stakeholders, Different Pathways: How Capacity Profiles Shape Managerial Priorities for Beneficiaries and Staff in Decision‐Making

open access: yesNonprofit Management and Leadership, EarlyView.
ABSTRACT This study investigates how combinations of organizational capacities shape nongovernmental organization (NGO) managers' prioritization of staff and beneficiaries. While stakeholder theory identifies which stakeholders' interests attract attention, it offers limited guidance on how managers ultimately prioritize among stakeholders in decision ...
Robbie Waters Robichau   +2 more
wiley   +1 more source

Nonprofit Governance and Financial Stability: A Study of Government‐Funded Social Services

open access: yesNonprofit Management and Leadership, EarlyView.
ABSTRACT Nonprofit social service providers are essential in delivering vital services, often with public funding. This study adopts a contingency perspective to explore the relationship between organizational governance and financial stability in publicly funded nonprofit organizations. We use a combination of comparative multilevel analysis (CMA) and
Florentine Maier   +4 more
wiley   +1 more source

Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

open access: yesIET Networks, EarlyView., 2022
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi   +4 more
wiley   +1 more source

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