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1 – 10 of over 164000The purpose of this paper is to respond to the call by Dumay and Cai (2014) for new ideas to enhance intellectual capital (IC) research. One possibility is to draw conclusions on…
Abstract
Purpose
The purpose of this paper is to respond to the call by Dumay and Cai (2014) for new ideas to enhance intellectual capital (IC) research. One possibility is to draw conclusions on comparability across the results of prior studies. This study investigates whether the results of prior IC content analyses are comparable despite differences in their IC research frameworks.
Design/methodology/approach
A content analysis of 428 German management reports is conducted, capturing the IC reporting scores for individual IC items to investigate the role of certain widely used IC items. The relationships of IC scores for different combinations of widely used IC items are further examined in a correlation analysis to indicate comparability of prior results.
Findings
The findings show that widely used IC items capture the majority of IC reporting and that the IC scores for different combinations of these IC items are highly correlated. These findings indicate that the results of prior IC content analyses are comparable as long as most of the widely used IC items are included in prior IC research frameworks.
Research limitations/implications
The study contributes to IC reporting research as it shows that conclusions can be drawn across prior studies in meta-analyses because the results of prior studies are comparable in rankings and key findings.
Originality/value
Although content analyses of IC reporting have been previously criticised, this study seminally questions the comparability of the results of prior studies due to differences in the IC research frameworks.
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This chapter discusses the use of qualitative content analysis in the field of hospitality and tourism. The primary objective of this chapter is to draw attention to the use of a…
Abstract
This chapter discusses the use of qualitative content analysis in the field of hospitality and tourism. The primary objective of this chapter is to draw attention to the use of a content analysis approach for the treatment of data. As a further objective, the chapter contributes to current knowledge by underscoring a qualitative content analysis approach that would be of benefit to hospitality and tourism scholars. Overall, the chapter serves to inform hospitality and tourism scholars of how to increase the trustworthiness of qualitative content analysis approaches, which is seen as one of the most crucial impediments to its use.
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Access to high-quality data is a challenge for humanitarian logistics researchers. However, humanitarian organizations publish large quantities of documents for various…
Abstract
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.
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A content analyses study of social studies textbooks was completed in 1993 by Rahmia Wade. She found the problematic way in which researchers examined texts noting they relied too…
Abstract
A content analyses study of social studies textbooks was completed in 1993 by Rahmia Wade. She found the problematic way in which researchers examined texts noting they relied too much on personal perceptions and opinions of social studies topics and failed to cite additional sources to support their claims. The investigation further asserted social studies textbook analyses lacked interrater reliability and data quantification. In many cases, the authors of these works were comparing textbooks to other textbooks, rather than to standards, and were not examining all the texts used in a particular discipline. Based on these findings, Wade questioned the effectiveness of these analyses for improving social studies education. This project replicated Wade’s study. A random sample of social studies textbook analyses published between 2002 and 2012 was considered and the author found that they have changed little since Wade’s article. Suggestions are offered for those interested in conducting textbook analysis with a focus on how to make such studies more relevant for classroom teachers. These suggestions include: analyzing both the textbooks and standards simultaneously, analyzing the entire textbook, and providing student centered lesson ideas.
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Francisca Castilla-Polo and Consuelo Ruiz-Rodríguez
In this paper, the authors analyze the use of content analysis in disclosing voluntarily information on intangible assets, the intangible assets disclosures (IAD). The purpose of…
Abstract
Purpose
In this paper, the authors analyze the use of content analysis in disclosing voluntarily information on intangible assets, the intangible assets disclosures (IAD). The purpose of this paper is to conduct a structured literature review (SLR) that assesses the possibilities and limitations of content analysis.
Design/methodology/approach
To that end, the authors analyze the existing literature on the topic in the main international databases. In all, 74 empirical articles utilizing content analysis as a research methodology for IAD were reviewed. Regarding the selection of sources, the authors should indicate that the SLR performed includes academic studies published in journals or presented at conferences and that are always subject to a double process of anonymous review.
Findings
The obtained results indicate that despite the frequent use of content analysis in studies on IAD, its use does not meet all expectations.
Research limitations/implications
The study synthesizes the research on content analysis for the case of information on intangible assets, offering an updated and global framework for future researchers through the SLR.
Practical implications
Among other problems, the authors found its excessive emphasis on the amount disclosed in the annual report, ignoring other reports in which more information regarding intangible assets is available, such as in the case of the sustainability reports. Furthermore, the use of very different coding systems and its exclusive use without being combined with other methodologies are detected. These aspects affect the quality problems of the sources used, which directly results in the utility of the evidenced findings.
Social implications
These conclusions allow the authors to conclude on the need to open different lines of study that review the use of content analysis in this topic.
Originality/value
The work focuses on the quality of disclosures more so than on the quantity, offering a critical view that summarizes the utility of the employment of content analysis for this type of disclosure and its implications for future research on this topic. Despite previous studies, the authors highlight the new insights revealed from IAD research, especially since the seminal paper of Dumay and Cai (2014).
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Tolga Çakmak and Şahika Eroğlu
The study aims to analyze the posts shared by public libraries in Turkey on their official Facebook pages. The targets of the study are to detect content categories shared by the…
Abstract
Purpose
The study aims to analyze the posts shared by public libraries in Turkey on their official Facebook pages. The targets of the study are to detect content categories shared by the libraries and to describe user interaction of libraries on the basis of their posted content.
Design/methodology/approach
The study examined data relating to 23,027 posts shared by 116 public libraries through descriptive and content analyses. The content analysis on the posts identified general topic and sub-topics through both machine-tagging and checks by the authors. Turkish word parsing applications and stop lists were employed in the designation of sub-categories. In this process, word clusters were identified to allow for the designation of sub-topic headings through the use of the Latent Dirichlet Allocation (LDA) technique.
Findings
The present study identified that a significant portion of the 116 public libraries in Turkey with official Facebook pages had started to use this platform in the year 2017. According to the findings, the user interaction of libraries generally occurs in the form of likes. Analyses on the topic categories of the posts established that a remarkable number of public libraries in Turkey targeted users from pre-school children to young adults.
Originality/value
The study contributes to the existing body of literature as one of the first research studies describing the current situation concerning public libraries in Turkey through the analysis of the content they generate on Facebook pages.
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Linda W. Lee, Amir Dabirian, Ian P. McCarthy and Jan Kietzmann
The purpose of this paper is to introduce, apply and compare how artificial intelligence (AI), and specifically the IBM Watson system, can be used for content analysis in…
Abstract
Purpose
The purpose of this paper is to introduce, apply and compare how artificial intelligence (AI), and specifically the IBM Watson system, can be used for content analysis in marketing research relative to manual and computer-aided (non-AI) approaches to content analysis.
Design/methodology/approach
To illustrate the use of AI-enabled content analysis, this paper examines the text of leadership speeches, content related to organizational brand. The process and results of using AI are compared to manual and computer-aided approaches by using three performance factors for content analysis: reliability, validity and efficiency.
Findings
Relative to manual and computer-aided approaches, AI-enabled content analysis provides clear advantages with high reliability, high validity and moderate efficiency.
Research limitations/implications
This paper offers three contributions. First, it highlights the continued importance of the content analysis research method, particularly with the explosive growth of natural language-based user-generated content. Second, it provides a road map of how to use AI-enabled content analysis. Third, it applies and compares AI-enabled content analysis to manual and computer-aided, using leadership speeches.
Practical implications
For each of the three approaches, nine steps are outlined and described to allow for replicability of this study. The advantages and disadvantages of using AI for content analysis are discussed. Together these are intended to motivate and guide researchers to apply and develop AI-enabled content analysis for research in marketing and other disciplines.
Originality/value
To the best of the authors’ knowledge, this paper is among the first to introduce, apply and compare how AI can be used for content analysis.
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Saif Mir, Shih-Hao Lu, David Cantor and Christian Hofer
Content analysis is a methodology that has been used in many academic disciplines as a means to extract quantitative measures from textual information. The purpose of this paper…
Abstract
Purpose
Content analysis is a methodology that has been used in many academic disciplines as a means to extract quantitative measures from textual information. The purpose of this paper is to document the use of content analysis in the supply chain literature. The authors also discuss opportunities for future research.
Design/methodology/approach
The authors conduct a literature review of 13 leading supply chain journals to assess the state of the content analysis-based literature and identify opportunities for future research. Additionally, the authors provide a general schema for and illustration of the use of content analysis.
Findings
The findings suggest that content analysis for quantitative studies and hypothesis testing purposes has rarely been used in the supply chain discipline. The research also suggests that in order to fully realize the potential of content analysis, future content analysis research should conduct more hypothesis testing, employ diverse data sets, utilize state-of-the-art content analysis software programs, and leverage multi-method research designs.
Originality/value
The current research synthesizes the use of content analysis methods in the supply chain domain and promotes the need to capitalize on the advantages offered by this research methodology. The paper also presents several topics for future research that can benefit from the content analysis method.
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