A scientometric analysis of knowledge transfer partnerships in digital transformation DOI Creative Commons
Lihong Zhang, Saeed Banihashemi,

Liting Zhu

et al.

Journal of Open Innovation Technology Market and Complexity, Journal Year: 2024, Volume and Issue: 10(3), P. 100325 - 100325

Published: June 27, 2024

In an era where digital transformation (DT) reshapes industries, the role of Knowledge Transfer Partnerships (KTP) in bridging academic insights with industrial innovation becomes crucial. This study conducts a comprehensive scientometric analysis 360 papers spanning from 2013 to 2023 map evolving landscape KTP context DT. By employing advanced visualization tools including generative visual networks and keyword co-occurrence through CiteSpace, critical research gaps trends, particularly addressing how can mitigate technological obsolescence enhance management within enterprises are identified. The findings reveal significant escalation output related KTP, pronounced focus on integrating cutting-edge technologies Artificial Intelligence, machine learning virtual reality fostering market adaptability. charts exponential growth literature highlights strategic areas entities, global geographical coverage, trends KTPs pivotal enhancing organizational resilience competitive advantage rapidly digitizing world. paper contributes existing knowledge by identifying patterns on-going offering evolutionary model guide theoretical development practical business operations policy making.

Language: Английский

Digital transformation and corporate environmental performance: The moderating role of board characteristics DOI
Pengyu Chen, Yuanyuan Hao

Corporate Social Responsibility and Environmental Management, Journal Year: 2022, Volume and Issue: 29(5), P. 1757 - 1767

Published: June 6, 2022

Abstract Digital transformation, board characteristics, and environmental performance are increasingly important in the field of corporate sustainability. However, despite growing literature on digital there is a paucity that considers characteristics. This paper aims to fill this gap by exploring relationship between transformation from perspective Chinese listed companies 2010 2019 were taken as original data, moderating effect characteristics was tested using model. We find can significantly improve performance. A low willingness showed directors with age diversity, nationality shareholding concentration, political connections. In contrast, strategies preferred boards more female higher educational backgrounds. Our study significant value for undergoing transformation.

Language: Английский

Citations

192
Digital transformation: A review and research agenda DOI Creative Commons
Dmitry Plekhanov, Henrik Franke, Torbjørn H. Netland

et al.

European Management Journal, Journal Year: 2022, Volume and Issue: 41(6), P. 821 - 844

Published: Sept. 24, 2022

The ongoing and ubiquitous digital transformation challenges the raison d'être of firms forces managers to rethink business strategies operations academics reconsider related theories. To aid these efforts, we conduct a systematic review research on firms' transformation, generating database 537 peer-reviewed academic articles analyzing it using novel multi-layered framework. framework separates three layers: an organization's core activities, its peripheral external environment. We find that have come far in their transformations are more embedded platform ecosystems with unclear boundaries. Relatedly, identify tension between decentralizing versus centralizing power across organizational layers during firm's how this dynamic affects corporate internal

Language: Английский

Citations

187
Digital transformation: A meta-review and guidelines for future research DOI Creative Commons
Jo�ão Reis, Nuno Mel�ão

Heliyon, Journal Year: 2023, Volume and Issue: 9(1), P. e12834 - e12834

Published: Jan. 1, 2023

The emergence of digital transformation has changed the business landscape for foreseeable future. As scholars advance their understanding and begins to gain maturity, it becomes necessary develop a synthesis create solid foundations. To do so, significant steps need be taken critically, rigorously, transparently examine existing literature. Therefore, this article uses meta-review with support Preferred Reporting Items Systematic Reviews Meta-Analysis (PRISMA) Protocol. result, we identified six dimensions seventeen categories related transformation. organizational, technological, social are still pivotal in transformation, while two new (sustainability smart cities) explored deepen knowledge refine found is paramount importance, as involves some complexity due organizational dynamics development technologies. It was also possible identify opportunities, challenges, future directions.

Language: Английский

Citations

71
From riches to digitalization: The role of AMC in overcoming challenges of digital transformation in resource-rich regions DOI
Yu Chen,

Yuandi Wang,

Changyi Zhao

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 200, P. 123153 - 123153

Published: Jan. 3, 2024

Language: Английский

Citations

37
A Decade of Green Economic Literature: An Analysis-Based Bibliometric DOI Creative Commons
Hamza Alqudah, Mohammad Zakaria AlQudah, Yazan Abu Huson

et al.

International Journal of Energy Economics and Policy, Journal Year: 2024, Volume and Issue: 14(3), P. 497 - 511

Published: May 8, 2024

This research significantly contributes to comprehending the body of work surrounding green economics and sustainable economies by methodically reviewing categorizing papers from Web Science (WoS) core collection. It highlights key authors, subjects, publishing sources, nations relevant economic studies meticulously analyzing 4,157 papers. Additionally, it constructs detailed visual maps based on referenced sources. By conducting a thorough bibliometric analysis, this study underscores importance using such tools gauge impact productivity. Leveraging WoS Core Collection, particularly Citation Index Expanded Social Sciences Index, was deliberate ensure comprehensive evaluation research. The data accentuates changing landscape field, indicating its growing significance expanding academic discussions around practices. delves into emerging directions that could inform considerations for economy. Despite marked increase in publications recent years, signaling heightened interest economy studies, field remains infancy, with limited quantitative conducted. Consequently, many findings remain inconclusive, numerous aspects literature unexplored. Finally, outlines both practical theoretical implications gleaned findings.

Language: Английский

Citations

23
Digitalisation dynamics in SMEs: An approach from systems dynamics and artificial intelligence DOI Creative Commons
Carlos F.A. Arranz, Marta F. Arroyabe,

Nieves Arranz

et al.

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 196, P. 122880 - 122880

Published: Sept. 26, 2023

This paper addresses the study of digitalisation dynamics in SMEs. Improving on existing research and its methodological limitations, we provide an understanding digital transformation SMEs by approaching from a non-linear complex perspective. We empirically test our hypotheses using Eurostat Flash Eurobarometer No. 486 data set, with final sample 16,365 Our first contribution shows that adequate not only implies identification drivers but also grasp how these act, highlighting differential effect internal capabilities external support company interaction have transformation. Moreover, results show interactions between variables is transferred to output variable process, which may contain optimum produced combination input variables. Second, extends methodology, emphasising importance combining classic regression analysis machine-learning techniques. Thus, systemic approach, conclude explanatory power models machine learning allows us quantify explain solving problems.

Language: Английский

Citations

31
Chatbots and Voice Assistants: Digital Transformers of the Company–Customer Interface—A Systematic Review of the Business Research Literature DOI Creative Commons
Carmen Bălan

Journal of theoretical and applied electronic commerce research, Journal Year: 2023, Volume and Issue: 18(2), P. 995 - 1019

Published: May 18, 2023

Chatbots and voice assistants are digital transformers of the interface between companies customers. They have become part current practice represent a distinct domain business research. This trend is significant in broad context marked by transformation companies, fast development e-commerce omnichannel behavior article systematic review high-quality research literature on chatbots assistants. The purpose this to critically analyze status from perspective theories, contexts, characteristics methodologies applied. final aim support study suggesting relevant agenda for future brings several contributions domain, including following: identification main streams function theories which studies grounded; conceptual framework investigated variables (antecedents, mediators, moderators consequences); creation humanlikeness assistants; consumer experience with presentation insights practice.

Language: Английский

Citations

30
Can digital policy improve corporate sustainability? Empirical evidence from China's national comprehensive big data pilot zones DOI
Wei Wang,

Hongguang Zhang,

Ziyuan Sun

et al.

Telecommunications Policy, Journal Year: 2023, Volume and Issue: 47(9), P. 102617 - 102617

Published: July 27, 2023

Language: Английский

Citations

28
Digital technologies and knowledge processes: new emerging strategies in international business. A systematic literature review DOI Creative Commons
Silvia Massa, María Carmela Annosi, Lucia Marchegiani

et al.

Journal of Knowledge Management, Journal Year: 2023, Volume and Issue: 27(11), P. 330 - 387

Published: Nov. 24, 2023

Purpose This study aims to focus on a key unanswered question about how digitalization and the knowledge processes it enables affect firms’ strategies in international arena. Design/methodology/approach The authors conduct systematic literature review of relevant theoretical empirical studies covering over 20 years research (from 2000 2023) including 73 journal papers. Findings allows us highlight relationship between enabled by applying digital technologies. Specifically, discuss characteristics patterns flows (their origin, type they carry their directionality) as determinants for emergence diverse embraced single firms or populations within ecosystems, networks, global value chains alliances. Originality/value Despite technologies constituting important antecedents critical factors internationalization process, businesses general, operating cross borders implies enactment highly knowledge-intensive processes, current still fails provide holistic picture strategically use what know seek out do not environment, using affordances

Language: Английский

Citations

28
Digital Transformation Strategies, Practices, and Trends: A Large-Scale Retrospective Study Based on Machine Learning DOI Open Access
Fatih Gürcan, Gizem Dilan Boztaş, Gonca Gökçe Menekşe Dalveren

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(9), P. 7496 - 7496

Published: May 3, 2023

The purpose of this research is to identify the areas interest, topics, and application that reflect nature digital transformation (DT), as well strategies, practices, trends DT. To accomplish this, Latent Dirichlet allocation algorithm, a probabilistic topic modeling technique, was applied 5350 peer-reviewed journal articles on DT published in last ten years, from 2013 2022. analysis resulted discovery 34 topics. These topics were classified, systematic taxonomy for presented, including four sub-categories: implementation, technology, process, human. As result time-based trend analysis, “Sustainable Energy”, “DT Health”, “E-Government”, Education”, “Supply Chain” emerged top with an increasing trend. Our findings indicate interests are focused specific applications industrial public settings. Based our findings, we anticipate next phase practice will concentrate government, health, education, economics. Energy” have been identified most prominent current processes applications. This study can help researchers practitioners field by providing insights implications about evolution intended serve guide understanding gaps potential future

Language: Английский

Citations

27