automated content analysis
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2021 ◽  
pp. 095042222110597
Author(s):  
Quan A Nguyen ◽  
Alex Maritz ◽  
Jan A Millemann

Earlier research has not explicitly emphasised the dynamic integration of entrepreneurship imperatives and transformation in developing the entrepreneurial university. The purpose of this research is to examine the linkage between the strategic intents articulated by universities and their corresponding level of entrepreneurship transformation. This article develops a theoretical framework to examine transformational imperatives, applying a data analytical approach to assess strategic documents using automated content analysis and complex algorithms. Australian universities were chosen for the research given the specific context of the higher education sector and the availability of strategic documents on the institutions’ websites. In the research context, the findings show that, while there are some variances with specific institutions, Australian universities in general, and several groups of universities in particular, expressed different levels of determination, ranging from moderate to moderately strong, to transform themselves into being entrepreneurial. Universities’ management can benefit from the theoretical framework developed in this research to craft strategies to further adopt entrepreneurship imperatives. Implications are also provided to inform universities, industry and government with regard to enhancing the dynamics of entrepreneurship ecosystems.


2021 ◽  
Author(s):  
Irene Ingeborg van Driel ◽  
Anastasia Giachanou ◽  
J. Loes Pouwels ◽  
Laura Boeschoten ◽  
Ine Beyens ◽  
...  

Studies into the association of social media use with mental health are largely based on measures of time spent on social media. The small and inconsistent results in these studies may be due to a lack of explanatory power of time-based measures. Data Download Packages (DDPs), the archives of social media platforms that each user is allowed to download, provide a new and promising method to collect content-based information about social media use. In this study, we discuss the promises and pitfalls of DDPs based on an exploratory analysis of 110 Instagram DDPs gathered from 102 adolescents. DDPs provide tremendous opportunities to get insight in the frequency, range, and content of social media activities, from browsing to searching and posting. Yet, the method is also complex and laborious and demands numerous procedural and analytical choices and decisions. Moreover, due to several factors unique to social media interactions, automated content analysis may be challenging. We successively discuss the challenges and opportunities of collecting and analyzing DDPs to help future researchers in their consideration of whether and how to use DDPs.


2021 ◽  
Vol 13 (22) ◽  
pp. 12829
Author(s):  
Vasja Roblek ◽  
Danijel Drpić ◽  
Maja Meško ◽  
Vedran Milojica

This paper aims to present the evolution and change in content in tourism, over time, as well as the emergence of different sustainable tourism concepts (ST). For this purpose, a comparative Automated Content Analysis (ACA) is herein applied to scientific articles published between 1990, when the first article in this field was published in the Web of Science, and the end of 2020. The results show some overlaps between the concepts that have emerged over the periods. According to the analysis results, it can be concluded that the theme focuses on business model changes, adoption of organizational processes related to the provision of mitigation measures, implementation of cleaner and smarter technologies, the importance of cultural heritage for sustainable tourism product concepts, rural development, green investment, sustainable standards and sustainable reporting.


Author(s):  
Vasja Roblek ◽  
Danijel Drpić ◽  
Maja Meško ◽  
Vedran Milojica

Analytical study presents the evolution and change in content over time and the emergence of different sustainable tourism (ST) concepts in tourism and hospitality. For this purpose, a Comparative Automated Content Analysis (ACA) analyses scientific articles published between 1990, when the first article in this field was published in the Web of Science (WOS), and the end of 2020. With the ACA for analysis papers research, this research helps explain why and how changing business models cross the time, organizational processes, importance of information and communication technologies in sustainable tourism strategies, green investments, sustainable standards in tourism and hospitality, and sustainable reporting.


10.15788/npf6 ◽  
2021 ◽  
Author(s):  
Kathleen Colville ◽  
◽  
Melissa K. Merry ◽  

Kentucky’s proposed Medicaid reforms, initiated in 2016 and blocked in federal court in 2018 and again in 2019, elicited an extraordinary volume of public input on the value of Medicaid (publicly-funded health insurance for low-income individuals). Personal statements from current and former Medicaid consumers, through written comments submitted to the Centers for Medicare and Medicaid Services, offer insights into the strategies employed by a segment of the public that contributes infrequently to policy debates. Through a combination of manual and automated content analysis of a random sample of 1100 public comments, we analyze the policy narratives of participants, examining how narrative and non-narrative elements varied depending on commenters’ relationship to Medicaid consumers. Nearly all comments met (and most exceeded) the threshold for a policy narrative, while relatively few comments drew on research-based content typically considered privileged in the rule-making process. Further, these narrative elements cohered in distinct storylines from current and past Medicaid consumers and from those who identified as service providers. This research underscores the importance of narratives as sources of evidence in regulatory processes and suggests that public comments are fertile ground for research using the Narrative Policy Framework. This work also illuminates bottom-up narrative construction, a process thus far overlooked in micro-level research presuming that citizens are passive recipients of narratives, rather than producers themselves. For future work examining micro-level narrative production, we identify important considerations, including the role of narrator trust, audience, forms of evidence, setting, and the interaction between the meso and micro levels.


2021 ◽  
Vol 16 (3) ◽  
pp. 174-183
Author(s):  
Mark Brommeyer ◽  
Mark Mackay ◽  
Zhanming Liang ◽  
Peter Balan

Background: Competencies have emerged as being important to develop health professionals, including managers in healthcare. Professional institutions adopted specific competency frameworks to guide designing professional development opportunities for health service managers, in particularly managers working in the area of health informatics. The fast-growing nature of healthcare settings means that the required competencies continue to evolve. Objective: The aim of this protocol is to outline a reflexive thematic analysis process, including using an automated content analysis approach, and identify what is missing in existing health service management competency empirical studies in relation to health informatics competencies.   Methods: A rapid literature review has been performed using a PRISMA approach for eligibility screening, with 185 publications meeting the inclusion criteria. The Leximancer natural language processing software was used to transform a large corpus of literature from natural language into semantic themes and concepts. A reflexive thematic analysis was then undertaken using the text mining automated content analysis approach to identify predominant concepts and the co-occurrence between them.   Results: A search strategy was developed using three primary electronic databases: 1) Scopus; 2) ProQuest; and 3) the Cumulative Index to Nursing and Allied Health Literature (CINAHL); and five secondary electronic databases: 1) Web of Science 2) PubMed; 3) ACM Digital Library; 4) Open Access Theses and Dissertations Database, and 5) Google Scholar. The initial search undertaken on 10 November 2020 resulted in 1,212 publications. The results of the reflexive thematic analysis will be submitted for publication by November 2021.   Conclusions: New understanding and knowledge in the area of health management competencies, specifically relating to informatics will be developed. Health informatics competencies will be defined for Australian health service managers. Further, this study helps inform the discourse regarding automated content analysis for the healthcare and informatics industry, healthcare organisations and university course requirements.


Journalism ◽  
2021 ◽  
pp. 146488492110363
Author(s):  
Daniel Vogler ◽  
Lisa Schwaiger

Gender imbalances in news coverage have been traced back to overarching societal structures and the characteristics of media companies, newsrooms and journalists. However, studies have rarely considered if and how journalistic resources can act situationally as drivers of gender imbalances. We investigated how often and in which contexts women are represented in Swiss news media articles between 2011 and 2019 ( n = 77,427) by combining manual and automated content analysis on a large scale. We looked at representation in general and the dependence of topic and media type, in addition to the influence of two resource-related features of news content: the source and the format. The study showed clear gender imbalances, which were heavily dependent on the topics in the news coverage. We found that when journalists relied on original reporting instead of news agencies and used contextualizing formats women were more frequently mentioned in the news. Our results, therefore, suggest that resources can situationally determine the representation of women in the news.


Author(s):  
Sarah Bachleda ◽  
Stuart Soroka

This chapter considers why (and how) emotions matter in news content. Based on an automated content analysis of the New York Times from 1980 to the present, the authors suggest that expressed emotion is a regular feature of news coverage. This has both positive and negative consequences. On the one hand, past work suggests that expressed emotion increases reader attentiveness. On the other hand, some research suggests that engagement with current affairs might be impeded by the prevalence of negative emotions (especially anxiety and anger). The truth is probably somewhere in between: there is some ‘ideal’ amount of emotionality in news content that increases engagement without passing the point at which emotional intensity is counterproductive.


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