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A data-driven hybrid scenario-based robust optimization method for relief logistics network design

Amani, Mohammad Amin; Sarkodie, Samuel Asumadu; Sheu, … - In: Transportation research : an international journal 194 (2025), pp. 1-28

Persistent link: https://www.econbiz.de/10015449609

Data-Driven Hyper-Personalization and Innovations in Services of the B2B Hospitality industry: Enhanced Customer Experiences Through AI and Collaborations

Dadwal, Sumesh Singh; Kumar, Pawan; Nadda, Vipin; … - In: Addressing Contemporary Challenges in the B2B …, (pp. 121-160). 2025

This chapter explores the concept of hyper-personalization and innovation capabilities in the B2B hospitality industry. To achieve sustainable competitive advantages and enhance customer experiences, the hospitality industry organisation need to develop dynamic capabilities of innovations and...

Persistent link: https://www.econbiz.de/10015542804

Data-driven identification and analysis of waiting times in business processes : a systematic literature review

Ali, Muhammad Awais; Milani, Fredrik; Dumas, Marlon - In: Business & information systems engineering 67 (2025) 2, pp. 191-208

Persistent link: https://www.econbiz.de/10015333529

Data-driven impact analysis of chokepoint on multi-scale maritime networks : a case study of the Taiwan Strait

Liang, Maohan; Cai, Yutong; Chen, Tianyi; Wang, Hua; … - In: Transportation research : an international journal 200 (2025), pp. 1-23

Persistent link: https://www.econbiz.de/10015451207

Data-driven insights into (E-)bike-sharing: mining a large-scale dataset on usage and urban characteristics: descriptive analysis and performance modeling

Balke, Georg; Rech, Felix; Lellep, Martin; Waldner, Felix - In: Transportation 52 (2025) 6, pp. 2433-2473

Bike-sharing is considered one of the most sustainable forms of urban transportation Abouelela (Trans. Res. Part A: Policy Pract. 169:103602, 2023) and, therefore, understanding what determines the efficiency of a bike-sharing system (BSS) is crucial. Various factors from different domains, like...

Persistent link: https://www.econbiz.de/10015551208

Data-driven inventory control and integrated employee involvement for special buys at Aldi Süd Germany

Tschan, Alex; Hetzel, Lars; Eisinger, Ralf; Eggen, Carolin - In: INFORMS journal on applied analytics 55 (2025) 1, pp. 22-35

Persistent link: https://www.econbiz.de/10015192518

Data-driven inventory control for large product portfolios : a practical application of prescriptive analytics

Schmidt, Felix G.; Pibernik, Richard - In: European journal of operational research : EJOR 322 (2025) 1, pp. 254-269

Persistent link: https://www.econbiz.de/10015410214

Data-driven inventory forecasting in periodic-review inventory systems adjusted with a fill rate requirement

Bruzda, Joanna; Abbasi, Babak; Urbańczyk, Tomasz - In: Decision sciences 56 (2025) 3, pp. 282-296

Persistent link: https://www.econbiz.de/10015462781

Data-driven learning about trend productivity growth

Goto, Eiji; Jacobs, Jan; Van Norden, Simon - 2025 - Updated: 10 October 2025

Persistent link: https://www.econbiz.de/10015467807

A data-driven machine learning model for forecasting delivery positions in logistics for workforce planning

Eichenseer, Patrick; Hans, Lukas; Winkler, Herwig - In: Supply chain analytics 9 (2025), pp. 1-14

Workforce planning in logistics is a major challenge due to increasing demands and a dynamic environment. The number of delivery positions is a key factor in determining staffing requirements. This is often predicted subjectively based on employee assessments. To improve decision making and...

Persistent link: https://www.econbiz.de/10015325251