Designing a resilient humanitarian supply chain by considering viability under uncertainty: A machine learning embedded approach DOI
Ömer Faruk Yılmaz, Yongpei Guan, Beren Gürsoy Yılmaz

et al.

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2024, Volume and Issue: 194, P. 103943 - 103943

Published: Dec. 30, 2024

Language: Английский

Toward the role of organizational culture in data-driven digital transformation DOI
Arman Ghafoori, Manjul Gupta, Mohammad I. Merhi

et al.

International Journal of Production Economics, Journal Year: 2024, Volume and Issue: 271, P. 109205 - 109205

Published: March 19, 2024

Language: Английский

Citations

17

The mechanism of supply chain efficiency in enterprise digital transformation and total factor productivity DOI
Yuqiang Teng, Min Du, Boqiang Lin

et al.

International Review of Financial Analysis, Journal Year: 2024, Volume and Issue: unknown, P. 103583 - 103583

Published: Sept. 1, 2024

Language: Английский

Citations

17

Benchmarking operations and supply chain management practices using Generative AI: Towards a theoretical framework DOI
Rameshwar Dubey, Angappa Gunasekaran, Θάνος Παπαδόπουλος

et al.

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2024, Volume and Issue: 189, P. 103689 - 103689

Published: July 25, 2024

Language: Английский

Citations

13

How does open public data impact enterprise digital transformation? DOI
Kaixuan Chen,

Shushan Zhang

Economic Analysis and Policy, Journal Year: 2024, Volume and Issue: 83, P. 178 - 190

Published: June 18, 2024

Language: Английский

Citations

10

Data-Driven Digital Transformation in Operations and Supply Chain Management DOI
Konstantina Spanaki, Denis Dennehy, Θάνος Παπαδόπουλος

et al.

International Journal of Production Economics, Journal Year: 2025, Volume and Issue: unknown, P. 109599 - 109599

Published: March 1, 2025

Language: Английский

Citations

1

A decision support framework for humanitarian supply chain management – Analysing enablers of AI-HI integration using a complex spherical fuzzy DEMATEL-MARCOS method DOI Creative Commons
Weizhong Wang, Yu Chen, Yi Wang

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 206, P. 123556 - 123556

Published: July 14, 2024

The integration of artificial intelligence (AI) with human (HI) has been asserted to provide transformational power across the humanitarian supply chain (HSC). However, there is little rigorous work that analyses enablers promote AI–HI and application in HSC. Thus, this paper reports a hybrid decision support framework for analysing HSC complicated, uncertain, periodic information. First, collect interdependent preference data from experts, complex spherical fuzzy weighted Heronian mean operator distance measures-based optimization model established generate group matrix. Next, measure influence strength enablers, decision-making trial evaluation method determine enabler weights, taking into account their interactive relationships. After that, explore level different participants HSC, measurement alternatives ranking according compromise solution developed by combining former two procedures. Finally, case study analysis presented assess feasibility current method, which includes sensitivity comparison studies. results reveal factor "enhancing efficiency relief operations" (0.084) most important driving integration. outcomes can new understanding key parts

Language: Английский

Citations

4

Leveraging technology in humanitarian supply chains: impacts on collaboration, agility and sustainable outcomes DOI Creative Commons
Rohit Kumar Singh

Journal of Humanitarian Logistics and Supply Chain Management, Journal Year: 2024, Volume and Issue: unknown

Published: July 25, 2024

Purpose This study aims to understand the role of technology adoption (TA) in improving efficiency and environmental sustainability (ENS) humanitarian supply chains through collaboration chain agility. made an attempt explore how technological resources can be used strategically achieve operational contribute sustainable logistics. Design/methodology/approach The data collected from 274 respondents involved logistics is analyzed using confirmatory factor analysis Partial Least Squares Structural Equation Modeling. These include managers, coordinators as well other relevant personnel different non-governmental organizations, international aid agencies relief operations. Findings results this show that TA plays a critical both agility It evidenced significantly moderate relationship between outcomes, respectively, effectiveness ENS delivery. In particular, technology-facilitated cut down costs, reduce response time minimize impact. Originality/value extends application dynamic capabilities view operations elaborates on capability improves performance. also highlights mediation delivery ENS.

Language: Английский

Citations

3

The digitalization of non-governmental organizations: factors and organizational characteristics DOI
Šviesa Leitonienė, Halina Waniak‐Michalak, Ivana Perica

et al.

International Review on Public and Nonprofit Marketing, Journal Year: 2025, Volume and Issue: unknown

Published: April 28, 2025

Language: Английский

Citations

0

The operationalization of antifragility through organizational slack and the moderating effect of firms reliance on collaborative networks DOI
Daniele Giordino, Ciro Troise, Francesca Culasso

et al.

European Journal of Innovation Management, Journal Year: 2024, Volume and Issue: unknown

Published: May 23, 2024

Purpose The present article draws from the behavioral theory of firm, and it explores whether various dimensions organization slack can be employed as variables to measure organizations’ antifragility during times uncertainty such Covid-19 pandemic. Furthermore, considering limitations regulations put into place most recent pandemic, study seeks explore moderating effect that collaborative networks might have on relationship between organizational firms performance. Design/methodology/approach retrieves data Thomson Reuters Data Stream, gathers observations manufacturing companies located in Europe. dataset is composed spanning fiscal year 2019–2022. Consequently, through use a balanced panel data, authors conduct multiple regression analysis. Findings obtained empirical findings reveal high discretion has positive performance whereas low negative their Additionally, indicate levels reliance positively moderates firms’ On other hand, negatively moderate Originality/value This manuscript carries several original contributions. It expands literature stream concerning networks. postulates an operational which used antifragility.

Language: Английский

Citations

3

Adopting Circular Economy Principles: How Do Conflict Management Strategies Help Adopt Smart Technology in Jordanian SMEs? DOI Open Access
Aydah Almasri, Ying Ma

Published: Aug. 13, 2024

Smart technology is essential for integrating circular economy principles. This study examines how conflict management strategies including collaboration, accommodation, avoidance, compromise, and competitions impact smart adoption, particularly blockchain, in Jordanian SMEs, a context that has been under-explored. Additionally, the research moderating role of customer-centric green supply chain relationship between blockchain adoption implementation Data were collected from 421 senior managers, department heads, executives SMEs. Primarily, this employed robust methodological approach, structural equation modeling (SEM) technique, to test hypotheses analyze complex relationships. provides valuable insights into highlighting importance strategic management, rarely explored. Incorporating as factor enhance sustainability competitiveness SMEs through technology. approach offers new aligns with economic principles, driving technological innovation sustainability. The results indicate have significant on among also revealed unique finding collaboration compromise are most influential strategies. Furthermore, found positively impacts theoretical practical especially Jordan.

Language: Английский

Citations

2