An automated quantitative content analysis process for humanitarian logistics research

2019 ◽  
Vol 9 (3) ◽  
pp. 475-491 ◽  
Author(s):  
Nathan Kunz
Keyword(s):  
Content Analysis ◽  
Secondary Data ◽  
Humanitarian Logistics ◽  
Quality Data ◽  
Main Theme ◽  
Quantitative Content Analysis ◽  
Content Type ◽  
Humanitarian Organizations ◽  
Analysis Process ◽  
Quantitative Content

Purpose Access to high-quality data is a challenge for humanitarian logistics researchers. However, humanitarian organizations publish large quantities of documents for various stakeholders. Researchers can use these as secondary data, but interpreting big volumes of text is time consuming. The purpose of this paper is to present an automated quantitative content analysis (AQCA) approach that allows researchers to analyze such documents quickly and reliably. Design/methodology/approach Content analysis is a method to facilitate a systematic description of documents. This paper builds on an existing content analysis method, to which it adds automated steps for processing large quantities of documents. It also presents different measures for quantifying the content of documents. Findings The AQCA approach has been applied successfully in four papers. For example, it can identify the main theme in a document, categorize documents along different dimensions, or compare the use of a theme in different documents. This paper also identifies several limitations of content analysis in the field of humanitarian logistics research and suggests ways to mitigate them. Research limitations/implications The AQCA approach does not provide an exhaustive qualitative analysis of documents. Instead, it aims to analyze documents quickly and reliably to extract the contents’ quantifiable aspects. Originality/value Although content analysis has been used in humanitarian logistics research before, no paper has yet proposed an automated, step-by-step approach that researchers can use. It also is the first study to discuss specific limitations of content analysis in the context of humanitarian logistics.

K-5 social studies content standards: investigating critical thinking for informed action

2021 ◽  
Vol 16 (3) ◽  
pp. 203-217
Author(s):  
Oluseyi Matthew Odebiyi
Keyword(s):  
Content Analysis ◽  
Critical Thinking ◽  
Social Studies ◽  
Design Methodology ◽  
Content Standards ◽  
Quantitative Content Analysis ◽  
Content Type ◽  
Us States ◽  
Grade Levels ◽  
Quantitative Content

PurposeThe purpose of this study is to explore the dynamics of critical thinking for informed action within the frame of six sample US states’ Kindergarten-5 social studies content standards.Design/methodology/approachThis study used quantitative content analysis. In addition to describing how the states’ standards present critical thinking for informed action, four variables were included: the enrollment weight of the states, textbook adoption status to advance standards, summative test status for social studies and grade levels.FindingsThe results indicate complex variations in context-based critical thinking levels are required by the sample states’ content standards with an extensive orientation toward superficial contextual thinking.Originality/valueThe study provides a new lens with which to make sense of students’ context-based critical thinking, as it relates to the expectations found in standards. It discusses the implications of the states’ K-5 standards on engaging students in critical thinking.

Influential Women? Policing Styles in Online Recruitment Materials

2019 ◽  
Vol 23 (1) ◽  
pp. 3-24 ◽  
Author(s):  
Michael F. Aiello
Keyword(s):  
Content Analysis ◽  
Law Enforcement ◽  
Secondary Data ◽  
Semantic Mapping ◽  
Quantitative Content Analysis ◽  
Quantitative Content ◽  
Community Oriented Policing ◽  
Open Source Data ◽  
Online Recruitment ◽  
Law Enforcement Management

This article tests the temporal relationship between the representation of females in policing and organizational change toward community-oriented policing. This mixed methods study involves secondary data analysis of the 2013 Law Enforcement Management and Administrative Statistics survey, open-source data collection of online recruitment materials for 493 Law Enforcement Management and Administrative Statistics agencies, quantitative content analysis of a random sample of 131 departments, and Leximancer semantic mapping of the 493 departments’ materials. The two forms of content analysis focus on the particular emphases of “legalistic,” “watchman,” and “service” styles. The quantitative content analysis results largely support the temporal model, with the percent female sworn in a given department in 2013 significantly predicting whether that department’s 2018 recruitment materials focus on service or community-oriented policing content. The Leximancer semantic mapping results provide a more ambiguous picture, including legalistic through-line language around police work.

Assessing organizational innovativeness – evidence from corporate narratives

2015 ◽  
Vol 20 (4) ◽  
pp. 399-414 ◽  
Author(s):  
Malte Stefan Ackermann ◽  
Michael Stephan ◽  
John M. Penrose
Keyword(s):  
Content Analysis ◽  
Multinational Corporations ◽  
Large Scale ◽  
Point Of View ◽  
Annual Reports ◽  
Quantitative Content Analysis ◽  
Organizational Survival ◽  
Content Type ◽  
Organizational Innovativeness ◽  
Quantitative Content

Purpose – The purpose of this paper is twofold: to quantify the communication of organizational innovativeness (OI) on a large scale; and to examine the relationship of communicating OI and the corresponding investments in research and development (R & D) of multinational corporations (MNCs). Design/methodology/approach – In total, 3,043 annual reports from 326 MNCs are examined utilizing quantitative content analysis, which focusses on fixed selected terminologies, in the years 1998-2008. Findings – Scholars assume that the capacity for OI is becoming the single most important task in organizational survival. Even though in the sample the investments in R & D are not increasing, even slightly declining, the communication of OI is increasing. Using mixed-effects regression analysis, the findings indicate that the corporations that are investing in R & D are also communicating these efforts correspondingly. Practical implications – This is the first study that measures the communication of OI using quantitative content analysis. Originality/value – The results indicate that not only do the communication efforts of an organization’s OI have a perceived increasing importance. They also suggest that OI itself has become more important for organizations from a strategic point of view.

scholarly journals The construction of the Arab-Islamic issue in foreign news: Spanish newspaper coverage of the Egyptian revolution

2020 ◽  
Vol 45 (s1) ◽  
pp. 765-787
Author(s):  
Alfonso Corral ◽  
Leen d’Haenens
Keyword(s):  
Content Analysis ◽  
Newspaper Coverage ◽  
Quantitative Content Analysis ◽  
Egyptian Revolution ◽  
Cultural Discourses ◽  
Quantitative Content ◽  
Foreign News ◽  
International Event

AbstractThe aim of this article is to analyze how the Spanish newspapers covered an international event such as the Egyptian spring from 2011 to 2013. From the perspective of the representation of Arab-Islamic issues, this study carries out a quantitative content analysis on the four reference newspapers in Spain (ABC, El Mundo, El País, and La Vanguardia) to find out whether there was an Islamophobic or Islamophilic treatment during the Egyptian revolution. The results of the 3,045 articles analyzed show that Spanish newspapers were remarkably interested in Egyptian events and that cultural discourses were not relevant in the coverage. However, it is necessary to specify these outcomes by newspaper, because each paper proposed its own take on the matter based on information provided by press agencies.

scholarly journals Commenting, Sharing and Tweeting News

2016 ◽  
Vol 37 (2) ◽  
pp. 67-81 ◽  
Author(s):  
Susanne M. Almgren ◽  
Tobias Olsson
Keyword(s):  
Content Analysis ◽  
User Interaction ◽  
Quantitative Content Analysis ◽  
Multiple Features ◽  
Online Newspapers ◽  
Local Newspapers ◽  
Quantitative Content ◽  
Salient Features ◽  
Participatory Practices

Abstract Social plugins for sharing news through Facebook and Twitter have become increasingly salient features on news sites. Together with the user comment feature, social plugins are the most common way for users to contribute. The wide use of multiple features has opened new areas to comprehensively study users’ participatory practices. However, how do these opportunities to participate vary between the participatory spaces that news sites affiliated with local, national broadsheet and tabloid news constitute? How are these opportunities appropriated by users in terms of participatory practices such as commenting and sharing news through Facebook and Twitter? In addition, what differences are there between news sites in these respects? To answer these questions, a quantitative content analysis has been conducted on 3,444 articles from nine Swedish online newspapers. Local newspapers are more likely to allow users to comment on articles than are national newspapers. Tweeting news is appropriated only on news sites affiliated with evening tabloids and national morning newspapers. Sharing news through Facebook is 20 times more common than tweeting news or commenting. The majority of news items do not attract any user interaction.

Sign in / Sign up

Export Citation Format

Share Document