Wyniki wyszukiwania - BazTech

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Network of trust relationships in the remote work model

Wawrzynek Łukasz

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2023

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z. 169

691--705

EN

Purpose: The article aimed to identify differences in the density of the trust network of team members in different work models (on-site, hybrid, and remote) and to identify opportunities for building knowledge and innovation in such work models based on the trust there. The method of experiment and a social networks analysis (SNA) was used to achieve the goal. Design/methodology/approach: The research is based on an experiment as part of a strategic business simulation game. The participants of the investigation are MBA students. The variable in the experiment is the work model. In these three different situations, relationships developed in teams are identified. Based on the identified relationships, visualizations of the trust network were built. Findings: The research confirmed that the hybrid and remote work models minimize the number of trust ties between team members. The network of trust based on the identified relationships is less dense. The decline in confidence leads to the conclusion that a company's innovation and ability to generate new knowledge are now under threat based only on group resources. Research limitations/implications: Research is based on an experiment. The group subjected to the investigation is MBA students. The limited duration of the experiment may limit the formation of networks of trust (based on long-term, deep relationships). See also a summary. Practical implications: The results indicate apparent differences in the density of trust relations between the organization's participants in the three analyzed work models. This points directly to the need to adjust tools supporting the development of innovation and knowledge creation for remote work models, different from those known from traditional (on-site) work models. Originality/value: The study shows that trust relationships, e are more challenging to achieve in remote working conditions than in traditional work models. It gives managers guidelines on what tools (such as SNA) they can use to identify relationships between people in new work models.

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The Italian pro-Russia digital ecosystem on Telegram

Castagna Simone, Porrino Giulia, Borgonovo Federico

Cybersecurity and Law

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2023

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Vol. 10 (2)

299--317

EN

The dissemination of pro-Russia ideologies and associated visual motifs has become widespread and transversal, encompassing various communities within the digital ecosystem. This trend has been linked to the related cognitive warfare that targets public opinion, manipulates information, and undermines the credibility of democratic institutions. Regarding the Italian context, the period from 2019 to 2023 saw a dramatic increase in the number of actors promoting pro-Russia narratives. They included members of the novax and no-greenpass movements, conspiracy theorists, far-right organizations, neo-Nazi groups, and ultras. Concurrently, the digital ecosystem has contributed the spread of violent content and anti-establishment propaganda online. In order to identify and explore the Italian digital ecosystem affected by pro-Russia ideologies, this study exploits a combination of exponential discriminative snowball sampling and social network analysis techniques on the Telegram instant messaging service. Through this approach, this research provides insight into the organizational structure and dynamics of the network, identifying key actors and their relationships, and the dissemination patterns of pro-Russia and anti-establishment propaganda. This study proposes a new research methodology to study digital ecosystems permeated by cognitive warfare campaigns and provides a deeper understanding of the mechanisms through which such content is propagated, enabling the development of effective strategies for countering disinformation and promoting fact-based discourse.

PL

Rozpowszechnianie prorosyjskiej ideologii i związanych z nią motywów wizualnych stało się zjawiskiem powszechnym, obejmującym różne społeczności w ramach cyfrowego ekosystemu. Tendencja ta powiązana jest z tzw. wojną kognitywną, której celem jest manipulacja opinią publiczną, informacjami i podważanie wiarygodności instytucji demokratycznych. Jeśli chodzi o kontekst włoski, to w latach 2019–2023 nastąpił wyraźny wzrost liczby podmiotów promujących prorosyjską narrację. Do podmiotów tych można zaliczyć członków ruchów no-vax i no-greenpass, teoretyków spisku, organizacje skrajnie prawicowe, grupy neonazistowskie. Jednocześnie ekosystem cyfrowy przyczynił się do rozprzestrzeniania w internecie treści zawierających przemoc i propagandę skierowaną przeciwko establishmentowi. W celu zidentyfikowania i zbadania włoskiego ekosystemu cyfrowego dotkniętego prorosyjskimi ideologiami w badaniu wykorzystano analizy sieci społecznościowych w usłudze komunikatora Telegram. Dzięki takiemu podejściu badanie to zapewniło wgląd w strukturę organizacyjną i dynamikę sieci, identyfikując kluczowe podmioty i ich relacje oraz wzorce rozpowszechniania prorosyjskiej propagandy. Niniejszy artykuł proponuje także nową metodologię badawczą do badania ekosystemów cyfrowych przesiąkniętych kampaniami wojny kognitywnej, zapewniającą głębsze zrozumienia mechanizmów, za których pomocą takie treści są propagowane, umożliwiającą opracowanie skutecznych strategii przeciwdziałania dezinformacji i promowania dyskursu opartego na faktach.

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A bibliometric analysis of the application of social network analysis in supply chain management

Wang Can

LogForum

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2022

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Vol. 18, no. 1

123--136

EN

Background: This paper presents a bibliometric overview of research published application of social network analysis in supply chain management in recent decades. It may be useful for showing the most important problems in this area. With this aim, Citespace is used to analyse the literature on the application of social network analysis in supply chain management to clarify the development and research trend. Bibliometric analysis is the quantitative study of bibliographic material. It provides a general picture of a research field that can be classified by papers, authors, and journals. The main objective of this study is to investigate the knowledge domain about application social network analysis in the supply chain field and reveal the thematic patterns and topics of high interest to researchers to predict emerging trends in the literature. Methods: To investigate the growth of studies about the applicable social network in supply chain management, 647 articles were reviewed by CiteSpace software. These papers were collected from the Core Collection of Thomson Reuters and published in 16 journals in operations research and management science from 2004 to 2021. Document co-citation analysis, clustering analysis, and citation burst detection were conducted to investigate and examine the thematic patterns, emerging trends, and critical articles of the knowledge domain. Results: Social network approaches are increasingly popular in the supply chain. Four major clusters are discussed in detail, namely multi-objective optimization, sustainable supply chain, supply network, and circular economy. Three research trends of supply chain network design, structural characteristics, and supplier selection and evaluation were identified based on citation bursts analysis. Conclusions: The present study offers a new approach to visualizing relevant data to synthesize scientific research findings of the application of social network analysis in supply chain management. Additionally, directions for future research in this area are presented.