Results 31 to 40 of about 152 (128)

Data‐Driven Marketing Processes: A Roadmap for Big Data Analytics Adoption in a Brazilian SaaS SME

Knowledge and Process Management, Volume 33, Issue 2, Page 549-563, April/June 2026.
ABSTRACT Small and medium‐sized enterprises (SMEs) often face unique challenges in integrating advanced digital technologies due to limited resources and organizational constraints. While much attention has been given to large firms' adoption of big data analytics (BDA) and artificial intelligence (AI), less is known about how SMEs can leverage these ...
Fabricio Venancio, Carlos Roberto De Rolt, Denilton Darold   +2 more
wiley   +1 more source

Influence of Alternative Protein Sources on the Physicochemical Properties and Sensory Evaluation of a Buffalo Whey‐Based Cocoa Beverage

Journal of Food Science, Volume 91, Issue 4, April 2026.
ABSTRACT This study aimed to develop high‐protein and prebiotic buffalo whey‐based cocoa beverages supplemented with calcium caseinate, egg albumin, and rice protein and evaluate their composition, stability, and sensory characteristics. Four formulations with inulin (2.5%) and different protein sources (5.0%) were prepared: BWB – buffalo whey beverage;
Bruna Samara dos Santos Rekowsky, Katherine Gutiérrez‐Álzate, Joseane Cardoso Gomes de Alencar, Bruno Nicolau Paulino, Marion Pereira da Costa   +4 more
wiley   +1 more source

Explainable Remaining Useful Life Prediction Using Interpretable Divisive Feature Clustering

Applied Stochastic Models in Business and Industry, Volume 42, Issue 2, March/April 2026.
ABSTRACT Accurate prediction of remaining useful life (RUL) is critical for effective predictive maintenance. While models like long short‐term memory (LSTM) are effective, they often lack interpretability, even when using explainable artificial intelligence (XAI) methods such as shapley additive explanations (SHAP).
Mouhamadou Lamine Ndao, Genane Youness, Ndèye Niang, Gilbert Saporta   +3 more
wiley   +1 more source

Re-engineering change in higher education

Information Research: An International Electronic Journal, 1999
Business Process Re-engineering (BPR) is being used in a number of UK Higher Education Institutions (HEIs) as a change management strategy. Whilst the focus of these HEIs is on re-engineering administrative services, there are also tentative attempts to ...
David Allen, N. Fifield
doaj  

Downconversion Master Slave OCT With a Bidirectional Sweeping Laser

Journal of Biophotonics, Volume 18, Issue 12, December 2025.
ABSTRACT This paper explores the challenges of signal processing when using optical coherence tomography (OCT) imaging instruments driven by asymmetric MHz bidirectional sweeping lasers. A downconversion master–slave (DMS) method is proposed as a viable alternative to the traditional OCT protocol.
A. Martinez Jimenez, R. Cernat, A. Bradu, R. Riha, E. A. Proano Grijalva, B. O. Meyer, T. Ansbaek, K. Yvind, A. Podoleanu   +8 more
wiley   +1 more source

Business process restructuring in Croatian and Slovenian companies: A comparison

Management : Journal of Contemporary Management Issues, 2000
In order to maintain competitiveness and growth, companies need to achieve continuous modernisation of business processes, increased productivity, and cost reduction.
Vesna Bosilj Vukšić, Katarina Ćurko, Andrej Kovačič   +2 more
doaj  

Multifunctional Nanoscale Pigments: Emerging Risks and Circular Strategies for a Sustainable Future

Small Science, Volume 5, Issue 12, December 2025.
The growing use of nanoscale pigments drives innovation across sectors, yet raises environmental and health concerns. This article explores their multifunctional roles, emerging risks, and regulatory gaps through a One Health lens. It highlights sustainable strategies—including benign‐by‐design approaches and circular economy principles—crucial for ...
Ajay Vikram Singh, Preeti Bhardwaj, Vimal Kishore, Sunil Choudhary, Akihiko Hirose, Neha Gupta, Madleen Busse, Swarn Lata Singh, Christopher J. Osgood   +8 more
wiley   +1 more source

Contrastive Learning for Sequential Recommendation With Negative Selection and Augmentation

Artificial Intelligence for Engineering, Volume 1, Issue 2, Page 125-136, 29 December 2025.
We identify that generating high‐similarity hard negative samples is essential for robust sequential recommendation via contrastive learning. To address this, we propose NARec, a novel framework integrating selection and augmentation modules to optimise the quality and quantity of negative samples, achieving superior performance.
Renqi Jia, Xiaokun Zhang, Weitao Xu, Chen Ma   +3 more
wiley   +1 more source

Leveraging Digital Intelligence Technologies for Green Shipping: Organization Information Processing and Contingency Perspective

Business Strategy and the Environment, Volume 34, Issue 7, Page 9023-9039, November 2025.
ABSTRACT This study investigates how digital intelligence technology applications (DITAs) enhance green shipping management performance (GSMP) by improving organizational capabilities in the face of environmental uncertainty. Drawing on organizational information processing theory and contingency theory, we develop a framework that examines the ...
Qiwei Pang, Xin Liu, Miao Su
wiley   +1 more source

It Takes a Village: Translating Management Ideas through an Ecology of Roles

Journal of Management Studies, Volume 62, Issue 7, Page 2938-2968, November 2025.
Abstract Although research has provided valuable insights into how management ideas circulate across contexts and undergo translation, the prevailing focus remains on the one‐directional journey from idea suppliers to adopting entities. In contrast, we advance an ecology of roles perspective to capture the dynamic relationships between multiple actors ...
Kasper Trolle Elmholdt, Jeppe Agger Nielsen, Arild Wæraas, Renate Meyer   +3 more
wiley   +1 more source