Using Social Network as Organizational Storytelling: A Narrative Analysis of Dooced Employees’ Blogs

2013 ◽  
pp. 225-231 ◽  
Author(s):  
Giuseppe Scaratti ◽  
Michela Cortini
Keyword(s):  
Social Network ◽  
Narrative Analysis ◽  
Organizational Storytelling

Researching Community in Distributed Environments

2011 ◽  
pp. 509-529 ◽  
Author(s):  
Vanessa Paz Dennen ◽  
Jennifer B. Myers ◽  
Christie L. Suggs
Keyword(s):  
Content Analysis ◽  
Social Network ◽  
Discourse Analysis ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Conversation Analysis ◽  
Narrative Analysis ◽  
Distributed Environments ◽  
Web Based

In this chapter we examine how a variety of research approaches can be applied to the study of cross-blog interactions. Cross-blog interactions can be challenging to study because of they often require the researcher to reconsider traditional notions of temporality, discourse space, and conversation. Further, in many instances they are neither static nor well defined; defining the beginning and end of a discussion as well as locating all components of the discussion can be difficult. For this reason, we advocate a blend of six approaches (social network analysis, content analysis, discourse analysis, conversation analysis, narrative analysis, and ethnography). For each, we discuss strengths and limitations and provide examples of how the approach may be used to help fully capture the complexity of these interactions. Additionally we discuss web-based tools that are helpful when engaged in this type of research.

Thick Big Data

2021 ◽  
pp. 210-228
Author(s):  
Dariusz Jemielniak ◽  
Agata Stasik
Keyword(s):  
Social Sciences ◽  
Qualitative Research ◽  
Big Data ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Narrative Analysis ◽  
Digital Data ◽  
Online Research ◽  
Practical Advice

As we witness a radical increase in the volume and variety of digital data, it should not come as a surprise that social sciences have become increasingly ‘datafied’. The traditional social sciences, such as sociology or anthropology, are thus under the threat of becoming marginalized or even irrelevant because of the prevalence of the new methods of research, which require more computational skills. This chapter describes a way for researchers to enter this new domain and keep their advantage of mastering qualitative research relevant: a new, mixed-method of Thick Big Data, relying on a combination of quantitative approaches (data scraping, Social Network Analysis, culturomics, sentiment analysis) with qualitative ones (digital ethnography, narrative analysis, cultural studies). The chapter outlines how these approaches may blend, and offers some practical advice for a researcher without coding skills on how to take the first steps in online research, through examples focused on Wikipedia.

The role of narrative in developing management control knowledge from fieldwork

2016 ◽  
Vol 13 (3) ◽  
pp. 330-349 ◽  
Author(s):  
Will Seal ◽  
Ruth Mattimoe
Keyword(s):  
Narrative Analysis ◽  
Management Control ◽  
Research Methodologies ◽  
Content Type ◽  
Organizational Storytelling ◽  
Business Knowledge ◽  
Critical Approaches ◽  
Original Case ◽  
Constructivist Perspective ◽  
Control Knowledge

Purpose This paper aims to develop a methodology of business knowledge creation based on a synthesis between the perspective of reality informed by pragmatic constructionism (PC) and critical approaches to narrative analysis informed by antenarrative concepts. Design/methodology/approach The paper identifies commonalities and contrasts between narrative and PC. Interpreting an original case study of a hotel by deploying both methodologies, the paper shows how a synthesis of the two approaches can help to construct management control knowledge. Findings PC and narrative have many overlaps and complementarities. Practitioners like stories both to make sense of their own roles and to develop personal strategic agendas. Antenarrative concepts demonstrate the potentially generative properties of organizational storytelling. The PC approach also constructs corporate narratives but, additionally, provides a set of criteria against which we can evaluate the stories of practitioners on the basis of “does it work?”. Research limitations/implications More interpretive field study processes are called for as a way of testing the robustness of the research design developed in the paper. Practical implications A successful management control topos has to be business-specific and co-authored with contributions from participants both inside and outside the organization. Narrative and PC research methodologies both encourage reflexivity, in which the researchers explicitly explore not just the positions of their interviewees, but also their own position and reactions. The creation of business knowledge is seen as a co-production between the researchers and the researched, as they share concepts and reflections during the fieldwork process. Originality/value The paper compares and contrasts two interpretive research methodologies, narrative and a pragmatic constructivist perspective. Especially when the concept of antenarrative is deployed, the two methodologies offer fruitful possibilities for dialogical conversation, as they espouse slightly different views on the nature of actor reality.

scholarly journals Organizational Storytelling Translated to Successful Business

2021 ◽  
Vol 9 (2) ◽  
Author(s):  
Anne Eskola ◽  
Shab Hundal
Keyword(s):  
Customer Satisfaction ◽  
Narrative Analysis ◽  
Empirical Data ◽  
Success Story ◽  
Organizational Storytelling ◽  
Software Company ◽  
Successful Business

In 2007, two friends decided to establish a new IT company, but not just another software company – a phrase that later became one of their slogans. The Finnish IT company called Vincit has turned out to be a success story both financially and in terms of personnel and customer satisfaction. The company is known for its skillful use of media as a deliverer of their company story. This paper examines organizational storytelling through media. The empirical data was gathered between 2012 and 2019, and it is analyzed using narrative analysis focusing on the types of stories told and how they are narrated.

scholarly journals The impact of social network change and health decline: a qualitative study on experiences of older adults who are ageing in place

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Willeke Vos-den Ouden ◽  
Leonieke van Boekel ◽  
Meriam Janssen ◽  
Roger Leenders ◽  
Katrien Luijkx
Keyword(s):  
Older Adults ◽  
Social Network ◽  
Old Age ◽  
Narrative Analysis ◽  
Ageing In Place ◽  
Health Decline ◽  
Age Related ◽  
Network Change ◽  
Expected Complexity ◽  
The Impact

Abstract Background Older adults prefer to age in place. Social network change and health decline challenge ageing in place, as stressors that make age-related advantages disappear. The aim of this study was to explore social network change and health decline and its impact on older adults who are ageing in place. Method In-depth interviews (n = 16) were conducted with older adults who were ageing in place and who were experiencing health decline and social network change. Procedures for grounded theory building were followed to analyse the interviews with respondents who were discharged from the hospital less than 4 months ago (n = 7). Narrative analysis was conducted to reach a deeper understanding of the expected complexity of experiences of this targeted sample. Results Results encompass a typology with four types of impact: A. Sneak preview of old age, B. Disruptive transition into old age, C. Drastically ageing, and D. Steadily ageing. Additionally, indications were found that older adults should be able to move along the four types of impact and ideally could end up in quartile D, experiencing little or no impact at all (anymore). Conclusion The results present an optimistic view on the possibilities of older adults to continue ageing in place despite experiencing unavoidable and uncontrollable stressors in life. Also, the results provide leads for practice, to develop an action perspective for home care nurses and gerontological social workers to determine and reduce the impact of social network change and health decline on older adults who are ageing in place. Suggestions for further research would be to unravel how to detect temporal setbacks in successful ageing in place.

DISRUPTIVE HUMOUR: A CITIZEN PERSPECTIVE IN SOCIAL MEDIA IMAGES FROM MASS PROTESTS

2020 ◽  
Author(s):  
Christina Neumayer ◽  
Luca Rossi ◽  
Minna S. Jensen
Keyword(s):  
Social Media ◽  
Social Network ◽  
Network Analysis ◽  
Narrative Analysis ◽  
Political Protest ◽  
Media Images ◽  
Political Messages ◽  
Media Institutions ◽  
The Everyday ◽  
Do So

In this research we ask which role humorous social media images play for the representation of political protest in social media. To do so, we collected tweets (n=678946) based on protest hashtags from the G20 protests in Hamburg July 6-8 2017. With a social network analysis we find that while we can see clusters around user accounts of activist collectives, media institutions, and authorities (such as the Hamburg police), we cannot observe a network centred around user accounts of residents of Hamburg. As seemingly neutral humorous perspectives which do neither take the side of the activists or the authorities, these images seem to be shared across various clusters in the network. Yet, these are among the most frequently shared tweets based on number of retweets and mentions. Through a narrative analysis of the most frequently shared tweets with a particular focus on such humorous juxtapositions of the protests and the everyday life of residents, we find that these seemingly apolitical images and videos shared across communities, still play a disruptive role in the narrative about political protest. We argue that the privileging of humorous content that users are perhaps more inclined to share in social media than political messages, activists’ grievances or violent imagery, might (while not actively taking sides) push activists’ grievances in the background and make their actions appear as disruptive. With these findings, this research contributes to furthering our understanding of how the logics of social media might influence narratives of contemporary protests.

The social network

2013 ◽  
Vol 44 (2) ◽  
pp. 22
Author(s):  
ALAN ROCKOFF
Keyword(s):  
Social Network ◽  
The Social

Abstract #1249: Novel Use of Physician Social Network Data to Map the Gap in the Endocrinology Workforce

2015 ◽  
Vol 21 ◽  
pp. 301
Author(s):  
Armand Krikorian ◽  
Lily Peng ◽  
Zubair Ilyas ◽  
Joumana Chaiban
Keyword(s):  
Social Network ◽  
Network Data ◽  
Social Network Data

Correlating Personality and Actual Phone Usage

2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  
Keyword(s):  
Big Data ◽  
Social Network ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Self Report ◽  
Psychological Variables ◽  
New Approach ◽  
Report Data ◽  
Self Report Data ◽  
Voice Calls

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.

Extraverts Have Larger Social Network Layers

2011 ◽  
Vol 32 (3) ◽  
pp. 161-169 ◽  
Author(s):  
Thomas V. Pollet ◽  
Sam G. B. Roberts ◽  
Robin I. M. Dunbar
Keyword(s):  
Social Network ◽  
Social Relationships ◽  
Outer Layer ◽  
Network Size ◽  
Emotional Intensity ◽  
Emotional Closeness ◽  
Network Layer ◽  
Network Layers ◽  
Social Network Size

Previous studies showed that extraversion influences social network size. However, it is unclear how extraversion affects the size of different layers of the network, and how extraversion relates to the emotional intensity of social relationships. We examined the relationships between extraversion, network size, and emotional closeness for 117 individuals. The results demonstrated that extraverts had larger networks at every layer (support clique, sympathy group, outer layer). The results were robust and were not attributable to potential confounds such as sex, though they were modest in size (raw correlations between extraversion and size of network layer, .20 < r < .23). However, extraverts were not emotionally closer to individuals in their network, even after controlling for network size. These results highlight the importance of considering not just social network size in relation to personality, but also the quality of relationships with network members.

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