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Effective international marketing requires collection of large amounts of data from diverse sources and sensitive use of such information in marketing strategy. While marketing information systems help managers incorporate some kinds of data into their planning, content analysis offers a different set of insights into cultural concepts, themes and trends not usually captured by traditional data systems. Content analysis has evolved as a research technique since the 1920s, largely in social science applications. Today, aided by new analytical techniques and optical scanners, which can read huge volumes of material inexpensively; and state‐of‐the‐art computer software, which can handle languages such as Chinese, Japanese, and Arabic, content analysis has great promise for international marketing applications.

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.

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.

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.

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.

This paper aims to develop a holistic measure for analysing impression management and for detecting bias introduced into corporate narratives as a result of impression management.

Prior research on the seven impression management methods in the literature is summarised. Four of the less‐researched methods are described in detail, and are illustrated with examples from UK annual results' press releases (ARPRs). A method of computing a holistic composite impression management score based on these four impression management methods is developed, based on both quantitative and qualitative data in corporate narrative disclosures. An impression management bias score is devised to capture the extent to which impression management introduces bias into corporate narratives. An example of the application of the composite impression management score and impression management bias score methodology is provided.

While not amounting to systematic evidence, the 21 illustrative examples suggest that impression management is pervasive in corporate financial communications using multiple impression management methods, such that positive information is exaggerated, while negative information is either ignored or is underplayed.

Four impression management methods are described in detail, illustrated by 21 examples. These four methods are examined together. New impression management methods are studied in this paper for the first time. This paper extends prior impression management measures in two ways. First, a composite impression management score based on four impression management techniques is articulated. Second, the composite impression management score methodology is extended to capture a measure for bias, in the form of an impression management bias score. This is the first time outside the USA that narrative disclosures in press releases have been studied.

The purpose of this paper is to investigate trends in the use of research methodologies and publications in manufacturing strategy (MS) literature across geographical regions and suggests possible future research opportunities.

This literature review is based on a sample of 512 subject-relevant journal articles and uses content analysis as the primary method for data analysis. The paper investigates developments in the use of research methodologies – in terms of research design, data collection methods, country of data collection, sample size, respondent type, statistical techniques used and time horizon of studies; and publication trends in terms of authorship type, authorship collaboration, most prolific authors, top journals, most prolific universities, and citation analysis.

Research in MS has substantially changed from conceptual quantitative to empirical quantitative designs. NA and Europe show a declining research interest. However, other regions of the world are consistently showing higher interest. Significant opportunities and synergies exist for collaborative research among regions.

Though the literature review is limited in its selection of articles and journals it sketches a picture that may surrogate the whole research community in MS.

Trends in publications and use of research methodologies provide directions for designing research projects relevant to various geographical regions. This will help develop a holistic understanding of MS that is meaningful for managers of today’s organizations.

This paper provides broader and deeper review of the MS literature. Complex patterns in data are revealed using cross-tabulations and advanced cross-tabulations that have not been performed in previous content-analysis–based literature reviews in MS. These patterns will help position future research studies.

In qualitative research, it is recurrent to conduct data collection through interviews, which must be first transcribed for the data to be analyzed. Although there is a relationship between the stages of the interview and the data analysis, the link between them (i.e. the transcription) seems to be a neglected methodological procedure. This occurs because, in papers, it is generally reported that “the interviews were transcribed”, without any details about the transcriptions conduction. From this methodological gap, this paper aims to discuss the relevance of detailing the methodological procedures adopted in the transcription in research reports in the management field.

This paper takes the form of a methodological essay.

The discussion focuses on the concepts of naturalized and denaturalized transcription, the relevance of adopting transcription norms and the need for reflexivity in conducting transcriptions – elements that must be explained in research reports to improve the methodological quality.

This paper explores methodological details that management students and researchers can adopt when performing transcriptions. Consequently, journal editors and reviewers will have more subsidies on the methodological quality employed in researches, which contributes to a better evaluation process.

This study demonstrates the relevance of a neglected methodological technique – transcription, which needs to be detailed in research reports, to contribute to the increase of methodological accuracy and to provide essential information to readers, allowing them to evaluate the rigor of the research. Thus, it is proposed that transcription should be considered a quality criterion in qualitative research.

This study aims to provide a holistic review of social media influencers (SMIs) research based on a unique approach of bibliometric analysis and content analysis between 2011 and 2020. The review examines the main influential aspects, themes and research streams to identify research directions for the future.

The sample selection and data collection were done from the Scopus database. The sample dataset was refined based on the inclusion and exclusion criteria to determine the final dataset of 183 articles. The dataset was exported in the BibTeX format and then imported into the BiblioShiny app for bibliometric analysis. The content analysis was done following the theory-context-methodology framework.

The several findings of this study include (1) Co-word analysis of most used keywords; (2) Longitudinal thematic evolution; (3) The focus of the research papers as per the theory-context-methodology review protocol are persuasion knowledge model, fashion and beauty industries, Instagram and content analysis, respectively; and (4) The network analysis of the research studies is known as the co-citation analysis and depicts the intellectual structure in the domain. This analysis resulted in four clusters of the research streams from the literature and two emergent themes (Chen et al., 2010)

In general, the previous reviews in the area are either domain, method or theory-based. Thus, this study aims to complement and extend the existing literature by presenting the overall picture of the SMI research with the help of a unique combined approach and further highlighting the trends and future research directions based on the findings of this study.

The purpose of this paper is to investigate how scholars in the digital humanities employ information visualization techniques in their research, and how academic librarians should prepare themselves to support this emerging trend.

This study adopts a content analysis methodology, which further draws techniques from data mining, natural language processing and information visualization to analyze three peer-reviewed journals published within the last five years and ten online university library research guides in this field.

To successfully support and effectively contribute to the digital humanities, academic librarians should be knowledgeable in more than just visualization concepts and tools. The content analysis results for the digital humanities journals reflect the importance of recognizing the wide variety of applications and purposes of information visualization in digital humanities research.

This study provides useful and actionable insights into how academic librarians can prepare for this emerging technology to support future endeavors in the digital humanities.

Although information visualization has been widely adopted in digital humanities research, it remains unclear how librarians, especially academic librarians who support digital humanities research, should prepare for this emerging technology. This research is the first study to address this research gap through the lens of actual applications of information visualization techniques in digital humanities research, which is compared against university LibGuides for digital humanities research.

This study aims to present an overview and analyze the Lean Six Sigma Black Belt (LSSBB) certifications offered by institutions operating in Brazil.

This research analyzed LSSBB certification courses offered by 48 institutions in Brazil by comparing the syllabi of the classes to the reference model proposed by the American Society for Quality (ASQ) in the Six Sigma Black Belt Body of Knowledge. This study employed the content analysis technique and hierarchical cluster analysis to analyze the data.

The results revealed a lack of standardization in the content of Lean Six Sigma (LSS) training in Brazil. 100% of the LSSBB courses analyzed covered four of the 108 techniques recommended by the ASQ Body of Knowledge (i.e. data types, measurement scales, sampling, and data collection plans and methods). In contrast, more than 75% of the courses covered all techniques related to the macro areas of organization-wide planning and deployment, organizational process management and measures, measure, and improve. The major shortcoming of LSS training is related to the macro area Design for Six Sigma framework and methodologies. LSS training is offered in a highly concentrated area in Brazil, the wealthiest region, where universities play a crucial role in disseminating LSS.

The literature lacks studies that critically examine LSS certification courses. There is little research on LSS in Brazil and there are no studies on LSS training in this country.

The purpose of this study is to carry out the systematic literature review, bibliometric analysis and content analysis of extant literature of service supply chain (SSC).

Systematic literature review (SLR) technique was used for identifying the research papers. In the first step after reading titles, abstracts and keywords and, full-length articles wherever required, papers not related to SSC were removed. In second steps papers were read more critically and papers not related to SSC were removed. Finally on 502 papers bibliometric and content analysis was further carried out. Content analysis was based on the clusters formed by bibliographic coupling. Further, content analysis of the recent articles revealed the current research trends and research gaps.

This paper identified the six existing research diversifications in SSC as (1) logistics SSC, (2) model, framework and conceptual papers, (3) third-party logistics service providers, (4) articles from various perspective, (5) measurement of quality and performance on services and (6) impact of adoption of technology, cooperation and branding on logistics service providers. Further, six future research directions are also provided.

This research provides a clear view of the progression of publication, research diversification, research themes of six identified clusters, sub-themes of clusters and content analysis of each cluster. Content analysis of recent articles reveals the current research trend and future research directions.

This is a first of its kind of study which presents the diversification of research areas within SSC, bibliometric analysis, content analysis and provides actionable future research direction.

In this paper content analysis is used to examine the lobbying positions of publicly listed companies making submissions on ED 49, Accounting for Identifiable Intangible Assets. A number of content analysis measures are used in an attempt to gain additional insights into the strength of lobbying positions held. The influence of debt contracting and political costs variables upon lobbying position on capitalisation and amortisation of identifiable intangible assets is investigated. Significant relationships are found with the explanatory variables interest coverage, company size, effective tax rate and membership of a politically sensitive industry. These relationships are most consistently observed when lobbying position is measured using more basic content analysis techniques, such as sentence counts and counting the number of supporting arguments presented in submissions. Use of apparently more sophisticated techniques of content analysis fail to perform as well, possibly due to the introduction of greater subjectivity to the process.