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A decision support optimization model to reduce congestion in fitness centres with an account for users' preferences

Djeumou Fomeni, Franklin; Yermeche, El Walid - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015617913

Management information systems : managing the digital firm

Laudon, Kenneth C.; Laudon, Jane Price; Traver, Carol … - 2026 - Eighteenth edition, global edition

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015609833

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Management information systems : managing the digital firm

Laudon, Kenneth C.; Laudon, Jane Price - 2022 - Seventeenth edition, global edition

Edition: Seventeenth edition, global edition

Book / Working Paper

Management information systems : managing the digital firm

Laudon, Kenneth C.; Laudon, Jane Price - 2020 - Sixteenth edition

Edition: Sixteenth edition

Book / Working Paper

Management information systems : managing the digital firm

Laudon, Kenneth C.; Laudon, Jane Price - 2018 - Fifteenth Edition

Edition: Fifteenth Edition

Book / Working Paper

Management information systems : managing the digital firm

Laudon, Kenneth C. - 2007 - 10. ed.

Edition: 10. ed.

Book / Working Paper

Management information systems : managing the digital firm

Laudon, Kenneth C. - 2006 - 9. ed.

Edition: 9. ed.

Book / Working Paper

The designing of warehouse management information system : a case study in helmet company

Nguyen, Nhat Quang; Nguyen, Duc Duy; Nguyen, Van Hoang; … - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015446307

An analytical framework for causal decision-making in international trade

Vanegas-López, Juan Gabriel; Pérez-Aguirre, Carlos Andrés - 2026

In international trade, selecting an Incoterm is a critical decision impacting costs and risks. Previous quantitative studies relied on traditional econometric models imposing strict linearity, limiting causal interpretation. This study addresses this gap by applying a causal inference framework...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015654282

The Routledge companion to management information systems

2025 - Second edition.

Part I: Disciplinary Theoretical and Methodological Foundations 1. Introduction 2. The explosion of scope for information systems research 3. Computationally Intensive Theory Construction 4. The Imperative for Laws for Information Systems Theorizing 5. IMPLEMENTATION SCIENCE IN INFORMATION...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015416870

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The Routledge companion to management information systems

2018 - First published

Edition: First published

Book / Working Paper

The Routledge companion to management information systems

2018

Book / Working Paper

ESG-driven digital performance measurement and decision support in vegan food firms

Toudas, Kanellos S.; Nika, Pandora P.; Giannakopoulos, … - 2026

Despite the growing importance of Environmental, Social, and Governance (ESG) performance in shaping brand perception and consumer trust, limited empirical evidence exists on how ESG indicators translate into measurable digital consumer engagement outcomes, particularly in ethically driven...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015654731

Managementsystem zur Informationssicherheit : Aufbau und Betrieb gemäß Prozess-Referenzmodell der ISO/IEC TS 27022

Haufe, Knut; Dzombeta, Srdan - 2024 - 1. Auflage

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014438575

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Managementsystem zur Informationssicherheit : Aufbau und Betrieb gemäß Prozess-Referenzmodell der ISO/IEC TS 27022

Haufe, Knut; Dzombeta, Srdan - 2024 - 1. Auflage

Edition: 1. Auflage

Book / Working Paper

Planning and assessing export promotion activities using large international trade datasets : the evolution of the Decision Support Model, 1995-2025

Cameron, Martin; Naudé, Wim - 2026

In this paper we explain and review the Decision Support Model (DSM) methodology, for planning and assessing export promotion activities. This model was first presented in the International Journal of Research in Marketing in 1995 by Cuyvers et al. (1995) and applied to the case of Belgium. We...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015618935

Demystifying the digital transformation of humanitarian supply chains through AidTech

Panagiotopoulos, Apostolos; Karyotis, Vasileios; … - 2026

Background: Humanitarian campaigns are more popular with more initiatives organized than ever by public and private bodies. Simultaneously, more peculiar challenges, such as zero-waste and transparency, are required compared to traditional supply chains. This work investigates the current...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015655398

Balanced Scorecard : Strategien erfolgreich umsetzen

Kaplan, Robert S.; Norton, David P. - 2024 - 1. Auflage 1997, unveränderter Nachdruck Januar 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014445193

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Balanced scorecard : Strategien erfolgreich umsetzen

Kaplan, Robert S.; Norton, David P. - 2018 - Sonderausgabe, [Nachdruck von 1997]

Edition: Sonderausgabe, [Nachdruck von 1997]

Book / Working Paper

Balanced scorecard : Strategien erfolgreich umsetzen

Kaplan, Robert S.; Norton, David P. - 1997

Book / Working Paper

A multi-criteria decision-making approach for air rescue units allocation during disaster response

Rebouças, Sergio; Pamplona, Daniel A.; Scarpel, … - 2026

Background: Despite advances in monitoring and forecasting systems, natural disasters continue to cause significant human losses. During the response phase, fast decisions are required to allocate limited resources, particularly rescue helicopters, which play a key role in reaching inaccessible...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015611807

Decision support for energy system transformation : a systematic analysis of MADM software for sustainability assessment

Mesa Estrada, Laura Sofia; Haase, Martina; Baumann, Manuel - 2026

Multi-criteria decision analysis (MCDA) methods for sustainability assessment (SA) have been used in various decision-making processes for energy system transformation. However, concerns remain about the complexity and resource intensity of their application. The literature on MCDA and SA...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015605336

Using sandboxes for testing decisions in the public sector

Pahonțu, Bogdan; Pană-Micu, Florentina; Mihăila, … - 2026

Technological advances are increasingly influencing how the public sector makes decisions according to citizens' needs and the community's problems. The need for a solution that facilitates the fast adaptation of administration to social context and people's feedback becomes mandatory in order...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015627941

A systematic analysis of generative artificial intelligence for supply chain transformation

Bahroun, Zied; Saihi, Afef; As’ad, Rami; Tanash, Moayad - 2026

Global supply chains face persistent disruptions from geopolitical shocks, sustainability pressures, and volatile demand, creating an increasing need for resilient and transparent operations. Generative Artificial Intelligence (GAI), including Large Language Models (LLMs), Generative Adversarial...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015640954

Developing a decision support system to improve the waste transportation process

Mavrin, Vadim; Makarova, Irina - 2026

Background: The increasing volume of waste and stricter environmental regulations necessitate efficient waste transportation. Optimizing the specialized vehicle fleet remains a challenge due to fragmented decision-making approaches. Methods: This study develops a Decision Support System (DSS)...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015650475

Bridging accuracy and interpretability : a decision support system for stock deployment and additive manufacturing decisions in spare parts distribution networks

Cantini, Alessandra; Coruzzolo, Antonio Maria; Lolli, … - 2026

Background: Spare parts distribution networks (DNs) play a strategic role in retailers' profitability. Among DN configuration decisions, selecting the optimal stock deployment policy-centralised, decentralised, or hybrid inventory allocation across distribution centres (DCs)-critically affects...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015650491

Decisions beyond data : narrative reporting practices in decision-making

Zelles, Tamás; Domokos, Bernadett; Remsei, Sándor - 2026

Leaders and managers frequently face the need to make highly complex decisions with incomplete or fragmented information. Traditional decision support systems largely emphasize the visualization of data but often fall short in producing context-sensitive insights that can directly inform...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015653596

Mensch vs. KI im Immobilien-Investment Management : Entscheidungsprozesse zur Bewertung von Investmentopportunitäten und Konzeption eines KI-Entscheidungsagenten

Will, Niklas; Rock, Verena - 2026

Das Thema KI-gestützter Entscheidungsunterstützung im Immobilien-Investmentmanagement wird derzeit vor allem im Kontext von Effizienz, Standardisierung und Automatisierung diskutiert. Die vorliegende Arbeit analysiert daher Unterschiede in Argumentationslogik, Gewichtung zentraler...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015632048

Regime-aware conditional neural processes with multi-criteria decision support for operational electricity price forecasting

Das, Abhinav; Schlüter, Stephan; Schneider, Lorenz - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015635119

Confiance et perception du risque dans l'usage d'un outil numérique d'aide à la décision pesticides

Cornier, Alban; Bougherara, Douadia; Thoyer, Sophie - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015636852

Diffusion of innovation in controlled environment agriculture : a mixed-methods study of digital decision support tool adoption

Lindow, Lauren; Campbell, Catherine; Longwater, Coleman; … - 2026

Controlled environment agriculture (CEA) enables farmers to manage all aspects of crop growing environments. However, the complexity of operations necessitates decision-support tools (DSTs) that integrate and analyze large datasets for optimized management. Despite their benefits, the adoption...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015672354

Does AI crowd out context? : evidence from clinical radiology

Freeman, Michael; Liang, Xinyu - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016060901

Presenting a pragmatic model for evaluating the economic performance of hospitals in Iran based on multi-criteria decision-making

Saeidpour, Jalal; Teymourzadeh, Ehsan; Mehdizadeh, Parisa; … - 2026

Background Evaluating the economic performance of hospitals is crucial for improving efficiency and aligning healthcare services with organizational missions. This study presents an operational model for assessing the economic performance of hospitals in Iran, based on a multi-criteria...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016070750

FinTech-enabled startup portfolio optimization under uncertainty : a multi-objective CVaR-ESG framework

Yordanova, Zornitsa; Nozari, Hamed - 2026

Startup investment decisions are always accompanied by high uncertainty, limited historical data, and the need to simultaneously consider financial performance, sustainability, and innovation. With the rapid expansion of financial technologies, the use of digital decision-support tools to manage...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016064192

Prioritizing critical success factors influencing the implementation of public work projects from the perspective of project managers, public authorities and economists

Papastamatis, Zisis; Vryzidis, Isaak; Karakosta, Charikleia - 2026

Public works projects are inherently complex, involving multiple stakeholders with distinct institutional roles and decision-making priorities. This study applies the multicriteria method Analytic Hierarchy Process (AHP) to evaluate and prioritize Critical Success Factors (CSFs) influencing the...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016070922

Improving the effectiveness of medical decision support systems based on machine learning and cloud services

Buhai, Dmytro; Zhuchenko, Anatolii; Zhuchenko, Oleksii; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016072469

Who's steering whom and in what direction? : an experiment on AI versus top management decision-making in projects

Kögel, Dominik; Meile, Sandro; Canos-Daros, Lourdes - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016063449

An analytical approach to sentiment extraction and decision-making using fine-tuned large language models

Thanh Ho; Nguyen, Huong - 2026

In the competitive restaurant and food service industry, customer reviews play a crucial role in assisting others to make informed decisions. However, the large volume and linguistic complexity of these reviews make it challenging to extract actionable insights effectively. To address this...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016082739

A systematic review of analytical machine learning techniques for optimizing decisions in underground engineering

Niyogisubizo, Jovial; Murwanashyaka, Evariste; … - 2026

Population growth and rapid urban development have emerged as significant global challenges. These problems are causing high demand for projects constructed below the ground. Although engineers and researchers involved in underground project design are trying to find possible solutions, they...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016082743

An integrated analytics method for structured accident analysis and safety decision support in construction

Omari, Mohamad Al; Itair, Mohammed; Eslahi, Mojtaba; … - 2026

Construction sites remain high-risk environments, with thousands of accidents occurring each year. Although large amounts of accident records exist globally, much of this information is stored as unstructured free-text comments, limiting its usefulness for systematic analysis. This study...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016082684

An integrated machine learning method for enhancing emergency response planning

Butsingkorn, Tanissara; Apichottanakul, Arthit; … - 2026

Accurate forecasting of ambulance demand is essential for optimizing resource allocation in emergency medical services (EMS) and improving response times. This study developed and evaluated advanced machine learning models for predicting monthly ambulance demand volumes, including Random Forest...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016082734

An object-centric approach to multi-entity Educational Process Mining

Miri, Najmeh; Khayatbashi, Shahrzad; Zdravkovic, Jelena; … - 2026

Educational Process Mining (EPM) is widely used to analyze learning processes in technology-enhanced learning environments. However, most EPM approaches remain case-centric, linking each event to a single entity (e.g., student or course), which prevents the analysis of learning situations...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016082749

An adaptive neuro-fuzzy decision support method for anticipating turnover intention in information technology employees

Estiri, Mehrdad; Dahooie, Jalil Heidary; Mohammadi, Navid; … - 2026

Employee turnover in the information technology (IT) sector poses substantial organizational challenges, particularly in knowledge-intensive environments characterized by high labor mobility. This study develops and empirically evaluates a hybrid predictive framework that integrates Ant Colony...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016082669

Orchestrating the flow of information for decision making : new dynamics between management accountants and operational managers leveraging business intelligence & analytics systems

Ascani, Ilenia; Sardini, Angelica; Montemari, Marco - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016085370

Balancing exploration and exploitation : designing a staffing tool to leverage ambidextrous team compositions

Rex, Alexander; Pfaff, Hendrik; Lautenschlager, Jonathan; … - 2026

In an era of rapid technological disruption, organizations must increasingly balance the exploitation of existing capabilities with the exploration of innovative business models and technologies, a duality known as ambidexterity. While prior research has largely focused on ambidexterity at the...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016069867

A duel-inspired analytics framework for dynamic imputation in decision-making

Wibawa, Aji Prasetya; Nafalski, Andrew - 2026

Missing data present a persistent challenge in time-series forecasting, often degrading model accuracy and compromising decision-making reliability when not handled effectively. Classical imputation methods apply fixed global rules that fail to adapt to dynamic temporal patterns. At the same...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016082588

From data to decisions : enhancing ambidexterity and performance through big data analytics capability and organizational foresight

Nguyen, Vu Van; Phuong Van Nguyen; Nguyen Sam Thi Ngoc; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015611626

A double hierarchy fuzzy decision approach for solar farm ranking sites in India

Krishankumar, Raghunathan; Sundararajan, Dhruva; … - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015617054

Applying sequential bifurcation and feed-forward simulation to reduce the prescriptive response time of a digital twin

Walton, Ryan B.; Ciarallo, Frank W.; Champagne, Lance E. - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015604734

Leveraging knowledge graphs in pharmaceutical supply chains : insights into key drivers of drug shortages

Eberhardt, Katharina; Schwärzel, Amelie; Kaiser, … - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015547235

Enhancing complex procurement negotiation with a hybrid MADM approach

Santos, Hugo B.; Água, Pedro B.; Frias, Armindo - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015628566

Enhancing bookkeeper decision support through graph representation learning for bank reconciliation

Munoz, Justin; Jalili, Mahdi; Tafakori, Laleh - 2025

The emergence of cloud-based bookkeeping platforms has made it possible to streamline decision-making in tedious accounting tasks, such as bank reconciliation. Bank reconciliation involves tracing the expected cash flow from invoices and bills to the actual payments recorded in a business's bank...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015654811

Development of a decision support system using advanced multi-criteria decision-making techniques

Gardashova, Latafat; Nazarov, Alish - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015549105

Large language models for supply chain decisions

Simchi-Levi, David; Mellou, Konstantina; Menache, Ishai; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015637918

The impact of human oversight on discrimination in AI-supported decision-making : a large case study on human oversight of AI-based decision support systems in lending and hiring scenarios

Gaudeul, Alexia; Arrigoni, Ottla; Charisi, Vasiliki; … - 2025

This large-scale study assesses the impact of human oversight on countering discrimination in AI aided decision-making for sensitive tasks. We use a mixed research method approach, in a sequential explanatory design whereby a quantitative experiment with HR and banking professionals in Italy and...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015323011