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Book part
Publication date: 9 November 2020

Nikita Basov, Artem Antonyuk and Iina Hellsten

In small group settings, is it the position in social networks or the content of communication that constitutes a leader? Studies focussing on the content suggest that leadership…

Abstract

In small group settings, is it the position in social networks or the content of communication that constitutes a leader? Studies focussing on the content suggest that leadership consists in creating and promoting meanings, whereas studies focussing on the connections stress that it is the network position that ‘makes a leader’. These two dimensions of leadership communication style have not been compared yet. To fill this gap, this chapter applies an emerging approach – socio-semantic network analysis – to jointly consider the content of, and the connections, in leaders' communication. Using a multisource dataset, we empirically study the social network positions (social network analysis) and the content of communication (semantic network analysis) of three leaders in a creative collective. Our findings reveal that different styles of leadership make diverse use of the content and the connections in a small group. The academic and practical implications are outlined.

Details

Aesthetics and Style in Strategy
Type: Book
ISBN: 978-1-80043-236-9

Keywords

Article
Publication date: 6 January 2022

Hanan Alghamdi and Ali Selamat

With the proliferation of terrorist/extremist websites on the World Wide Web, it has become progressively more crucial to detect and analyze the content on these websites…

Abstract

Purpose

With the proliferation of terrorist/extremist websites on the World Wide Web, it has become progressively more crucial to detect and analyze the content on these websites. Accordingly, the volume of previous research focused on identifying the techniques and activities of terrorist/extremist groups, as revealed by their sites on the so-called dark web, has also grown.

Design/methodology/approach

This study presents a review of the techniques used to detect and process the content of terrorist/extremist sites on the dark web. Forty of the most relevant data sources were examined, and various techniques were identified among them.

Findings

Based on this review, it was found that methods of feature selection and feature extraction can be used as topic modeling with content analysis and text clustering.

Originality/value

At the end of the review, present the current state-of-the- art and certain open issues associated with Arabic dark Web content analysis.

Details

Data Technologies and Applications, vol. 56 no. 4
Type: Research Article
ISSN: 2514-9288

Keywords

Article
Publication date: 3 February 2017

Wiem Khlif, Hanêne Ben-Abdallah and Nourchène Elleuch Ben Ayed

Restructuring a business process (BP) model may enhance the BP performance and improve its understandability. So-far proposed restructuring methods use either refactoring which…

Abstract

Purpose

Restructuring a business process (BP) model may enhance the BP performance and improve its understandability. So-far proposed restructuring methods use either refactoring which focuses on structural aspects, social network discovery which uses semantic information to guide the affiliation process during its analysis, or social network rediscovery which uses structural information to identify clusters of actors according to their relationships. The purpose of this paper is to propose a hybrid method that exploits both the semantic and structural aspects of a BP model.

Design/methodology/approach

The proposed method first generates a social network from the BP model. Second, it applies hierarchical clustering to determine the performers’ partitions; this step uses the social context which specifies features related to performers, and two new distances that account for semantic and structural information. Finally, it applies a set of behavioral and organizational restructuring rules adapted from the graph optimization domain; each rule uses the identified performers’ partitions and the business context to reduce particular quality metrics.

Findings

The efficiency of the proposed method is illustrated through well-established complexity metrics. The illustration is made through the development of a tool that fully supports the proposed method and proposes a strategy for the application of the restructuring rules.

Originality/value

The proposed method has the merit of combining the semantic and structural aspects of a Business Process Modeling Notation model to identify restructuring operations whose ordered application reduces the complexity of the initial model.

Details

Business Process Management Journal, vol. 23 no. 1
Type: Research Article
ISSN: 1463-7154

Keywords

Content available
Book part
Publication date: 9 November 2020

Abstract

Details

Aesthetics and Style in Strategy
Type: Book
ISBN: 978-1-80043-236-9

Article
Publication date: 14 November 2023

Mark Badham, Vilma Luoma-aho and Chiara Valentini

This paper refines the Digital Media–Arena (DMA) framework to address the diversity of stakeholders contributing to the production, (re)appropriation and (re)distribution of…

Abstract

Purpose

This paper refines the Digital Media–Arena (DMA) framework to address the diversity of stakeholders contributing to the production, (re)appropriation and (re)distribution of organisational messages in digital environments. It also presents a case analysis for the purpose of demonstrating the applicability of the revised conceptual framework to a critical situation.

Design/methodology/approach

Grounded in key public relations, corporate communication and strategic communication research, this study first extends the DMA framework by introducing six new forms of media-arenas. Next, the study takes a public sector perspective to analyse the revised framework against a critical situation involving the Finnish prime minister in summer 2022.

Findings

The application of the revised DMA framework to analyse the critical situation shows the importance of mapping and understanding diverse discourses across multi-arenas and their communication role in a rapidly unfolding scandal surrounding the prime minister of Finland. Findings also reveal the diversity of stakeholder voices forming their own versions of organisational messages and sometimes converging organisational messages within and across DMAs.

Practical implications

The DMA framework can offer practical suggestions to guide communicators to make strategic choices in what, where, how and with whom they can communicate.

Originality/value

The revised DMA framework contributes expanding the field's knowledge of the strategic communicative use of the digital environment in typically highly volatile and multi-vocal situations by offering instrumental understanding of the conflicting challenge between subjugating and liberating organisational messages across the digital spectrum.

Article
Publication date: 19 March 2020

Alessandro Inversini, Nigel L. Williams, Isabella Rega and Ioanna Samakovlis

The purpose of this study to shed light on the importance of social media hosted content related to socially-motivated discussions. Moving from the field of communication for…

Abstract

Purpose

The purpose of this study to shed light on the importance of social media hosted content related to socially-motivated discussions. Moving from the field of communication for development, the research leverages social media as a powerful tool for collecting and analyse peer-to-peer communication towards the conceptualization of eVoices of Unheard. The deep understanding of these conversation can generate recommendations for organizations and governments designing and providing interventions fostering local socio-economic development.

Design/methodology/approach

The study presents a large-scale analysis of social media interactions on the topic “#favela” to generate insights into a social network structure, narrative contents and meaning generated.

Findings

Structurally, the analysed networks are comparable with those presented in current academic literature; automatic text analysis confirmed the promise of the inner value of communication for development opening the floor to conceptualization of the “eVoices of unheard”, which is the collective and conscious use of social media to mediate community discussions about tangible and intangible issues related to socio-economic development.

Originality/value

Framed within the rise of interactive communication for development this research show that social media an support the notion of voice proposed by Couldry (2010) moving from process (i.e. the recording of the voice) towards value (i.e. the possibility of giving an account of one’s life and its conditions to have an impact on human life and resources) thereby understanding intangible issues related with socio-economic development.

Details

Journal of Information, Communication and Ethics in Society, vol. 18 no. 4
Type: Research Article
ISSN: 1477-996X

Keywords

Article
Publication date: 3 September 2020

Selin Türkel, Ebru Uzunoğlu and Sema Misci Kip

The purpose of this paper is to unearth common perceptions of non-profit organization (NPO) trust and reputation, with a specific focus in their overlaps and intersections…

Abstract

Purpose

The purpose of this paper is to unearth common perceptions of non-profit organization (NPO) trust and reputation, with a specific focus in their overlaps and intersections. Examining the two concepts in tandem allows a more comprehensive approach offering new insights.

Design/methodology/approach

This study is devoted to the analysis of the interplay of NPO trust and reputation combining semantic network analysis with a personification approach. The data are collected via semi-structured interviews with 482 individuals.

Findings

The present results reveal both common (e.g. charitable, credible) and unique (e.g. illuminating, nice) personality traits. Findings also demonstrate that reputation is a broader concept than trust, with more characteristics. Moreover, it is possible to state that NPOs deemed reputable have a 50% chance of being trusted.

Research limitations/implications

Clearly delineating the relationship between the concepts of NPO trust and reputation has certain conceptual significance and practical value. As traits are grouped in the existing taxonomy categories based on the analysis, it could contribute to improving understanding of these constructs, as well as a modification in the existing classification.

Practical implications

This study aims to assist NPO managers by providing a list of ideal traits for NPO reputation and trust. It can serve as a guide for managers to assess their own perceptions, for comparison with those of competitors.

Originality/value

To the authors' knowledge, this study is the first attempt to provide an interrelated perspective to the study of NPO trust and reputation through semantic network and personification approach.

Details

Corporate Communications: An International Journal, vol. 26 no. 1
Type: Research Article
ISSN: 1356-3289

Keywords

Article
Publication date: 23 October 2023

Rongying Zhao, Weijie Zhu, He Huang and Wenxin Chen

Social mediametrics is a subfield of measurement in which the emphasis is placed on social media data. This paper analyzes the trends and patterns of paper comprehensively…

Abstract

Purpose

Social mediametrics is a subfield of measurement in which the emphasis is placed on social media data. This paper analyzes the trends and patterns of paper comprehensively mentions on Twitter, with a particular focus on Twitter's mention behaviors. It uncovers the dissemination patterns and impact of academic literature on social media. The research has significant theoretical and practical implications.

Design/methodology/approach

This paper explores the fundamental attributes of Twitter mentions by means of analyzing 9,476 pieces of scholarly literature (5,097 from Nature and 4,379 from Science), 1,474,898 tweets and 451,567 user information collected from Altmetric.com database and Twitter API. The study uncovers assorted Twitter mention characteristics, mention behavior patterns and data accumulation patterns.

Findings

The findings illustrate that the top academic journals on Twitter have a wider range of coverage and display similar distribution patterns to other academic communication platforms. A large number of mentioners remain unidentified, and the distribution of follower counts among the mention users exhibits a significant Pareto effect, indicating a small group of highly influential users who generate numerous mentions. Furthermore, the proportion of sharing and exchange mentions positively correlates with the number of user followers, while the incidence of supportive mentions has a negative correlation. In terms of country-specific mention behavior, Thai scholars tend to utilize supportive mentions more frequently, whereas Korean scholars prefer sharing mentions over communicating mentions. The cumulative pattern of Twitter mentions suggests that these occur before official publication, with a half-life of 6.02 days and a considerable reduction in the number of mentions is observed on the seventh day after publication.

Originality/value

Conducting a multi-dimensional and systematic analysis of Twitter mentions of scholarly articles can aid in comprehending and utilizing social media communication patterns. This analysis can uncover literature's distribution patterns, dissemination effects and social significance in social media.

Details

Library Hi Tech, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-8831

Keywords

Article
Publication date: 8 February 2023

Mousumi Karmakar, Vivek Kumar Singh and Sumit Kumar Banshal

This paper aims to explore the impact of the data observation period on the computation of altmetric measures like velocity index (VI) and half-life. Furthermore, it also attempts…

Abstract

Purpose

This paper aims to explore the impact of the data observation period on the computation of altmetric measures like velocity index (VI) and half-life. Furthermore, it also attempts to determine whether article-level computations are better than computations on the whole of the data for computing such measures.

Design/methodology/approach

The complete publication records for the year 2016 indexed in Web of Science and their altmetric data (original tweets) obtained from PlumX are obtained and analysed. The creation date of articles is taken from Crossref. Two time-dependent variables, namely, half-life and VI are computed. The altmetric measures are computed for all articles at different observation points, and by using whole group as well as article-level averaging.

Findings

The results show that use of longer observation period significantly changes the values of different altmetric measures computed. Furthermore, use of article-level delineation is advocated for computing different measures for a more accurate representation of the true values for the article distribution.

Research limitations/implications

The analytical results show that using different observation periods change the measured values of the time-related altmetric measures. It is suggested that longer observation period should be used for appropriate measurement of altmetric measures. Furthermore, the use of article-level delineation for computing the measures is advocated as a more accurate method to capture the true values of such measures.

Practical implications

The research work suggests that altmetric mentions accrue for a longer period than the commonly believed short life span and therefore the altmetric measurements should not be limited to observation of early accrued data only.

Social implications

The present study indicates that use of altmetric measures for research evaluation or other purposes should be based on data for a longer observation period and article-level delineation may be preferred. It contradicts the common belief that tweet accumulation about scholarly articles decay quickly.

Originality/value

Several studies have shown that altmetric data correlate well with citations and hence early altmetric counts can be used to predict future citations. Inspired by these findings, majority of such monitoring and measuring exercises have focused mainly on capturing immediate altmetric event data for articles just after the publication of the paper. This paper demonstrates the impact of the observation period and article-level aggregation on such computations and suggests to use a longer observation period and article-level delineation. To the best of the authors’ knowledge, this is the first such study of its kind and presents novel findings.

Details

Global Knowledge, Memory and Communication, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9342

Keywords

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