The interplay of social capital, digital transformation and sustainability for designing international marketing strategies: a systematic literature review
Sep 2026· International Marketing Review· 0 citations· 110 references
Abstract
This study systematically reviews the current literature on the role of social capital in adopting digital technologies and achieving sustainability. The current investigation identifies key insights across social capital, digital transformation and sustainability paradigms, and highlights how these findings guide business organisations in designing international marketing strategies.
A systematic literature review (SLR) was conducted using the PRISMA protocol. In total, 92 peer-reviewed articles out of 403 manuscripts, based on Scopus and Web of Science (WoS) database searches from 1980 to 2025, were identified and selected for conducting a thematic analysis and proposing a theoretical framework.
The analysis of this SLR revealed three main themes: (1) social capital for digital transformation, (2) social capital for achieving sustainability and (3) social capital for both digital transformation and achieving sustainability. Several sub-themes were also synthesised under each theme. Key findings include how social capital permits sustained customer-oriented culture, inter-organisational trust and artificial intelligence-based social networks – critical aspects for designing international market strategies. A potential theoretical framework is also proposed to explain how social capital influences the adoption of digital technologies and the achievement of sustainability goals, and how firms can entrench these identified attributes into sustained knowledge management, improved strategic positioning and market-oriented innovation.
This is the first study to propose a theoretical framework that connects social capital to digital transformation and sustainability in the context of international marketing. It offers practical insights for firms seeking to integrate social capital, digital technologies and sustainability initiatives into global strategy development.
GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations...
Xiaotian Zhang, Chun-yan Li, Yi Zong et al.· arXiv.org· 216 citations· ⚡17
This work investigates the possibilities of using LLMs in a resume screening setting via a document retrieval framework that simulates job candidate selection and finds that the MTEs are biased, significantly favoring White-associated names in 85% of cases and female-associated names in only 11.1% of cases.
This work shows that orders of magnitude enhancement in performance could be obtained by a combination of hardware improvements and tight quantum-HPC integration and introduces high-performance architectures for quantum-probabilistic computing with custom-designed accelerators to tackle today's industry-scale classical...
Masoud Mohseni, Artur Scherer, K. Johnson et al.· arXiv.org· 121 citations· ⚡9
This paper presents a comprehensive overview of the Ultralytics YOLO family, emphasizing architectural evolution, benchmarking, deployment, and emerging directions from YOLOv5 through YOLO27, and examines detection, segmentation, depth, classification, pose, oriented detection, tracking, export, quantization, and deplo...
This work revisits schema linking when using the latest generation of large language models (LLMs) and finds empirically that newer models are adept at utilizing relevant schema elements during generation even in the presence of large numbers of irrelevant ones.
Karime Maamari, Fadhil Abubaker, Daniel Jaroslawicz et al.· arXiv.org· 109 citations· ⚡19
A novel threat is unveiled in which attackers steer the RAG system's response by injecting malicious passages into its knowledge base, enabling the attacker to steer the response without altering the user input or modifying the RAG weights.
Jiaqi Xue, Meng Zheng, Yebowen Hu et al.· arXiv.org· 109 citations· ⚡8
With $2.1 million funding from Google.org, the open-source Public Transit Intelligence Hub will unify public transit monitoring, operations, and passenger communication.
Professor Sherry Turkle’s new book, “Artificial Intimacy,” offers a withering critique of chatbots and the antisocial dynamics she believes they encourage.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.