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In a context where human–machine interaction is growing, understanding the limits between automated and human-based methods may leverage qualitative research. This paper aims to compare human and machine analyses, highlighting the challenges and opportunities of both approaches.

This study applied qualitative secondary analysis (QSA) with machine learning-based text mining on qualitative data from 25 interviews previously analyzed with traditional qualitative content analysis.

By analyzing both techniques' strengths and weaknesses, this study complements the results from the original research work. The previous human model failed to point to a particular aspect of the case, while the machine analysis did not recognize the sequence of time in the interviewee's discourse.

This study demonstrates that combining content analysis with text mining techniques improves the quality of the research output. Researchers may, therefore, better handle biases from humans and machines in traditional qualitative and quantitative research.

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.

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.

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.

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.

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.

The purpose of this paper is to propose a conceptual framework of experience co-creation that captures the multi-dimensionality of this construct, as well as a research process for defining of the antecedents of experience co-creation.

The framework of experience co-creation was conceptualized by means of a literature review. Subsequently, this framework was used as the conceptual basis for a qualitative content analysis of 66 empirical papers investigating alternative consumption models (ACMs), such as renting, remanufacturing, and second-hand models.

The qualitative content analysis resulted in 12 categories related to the consumer and 9 related to the ACM offerings that represent the antecedents of experience co-creation. These categories provide evidence that, to a large extent, the developed conceptual framework allows one to capture the multi-dimensionality of the experience co-creation construct.

This study underscores the understanding of experience co-creation as a function of the characteristics of the offering – which are, in turn, a function of the consumers’ motives as determined by their lifeworlds – as well as to service design as an iterative approach to finding, creating and refining service offerings.

The investigation of the antecedents of experience co-creation can enable service providers to determine significant consumer market conditions for forecasting the suitability and viability of their offerings and to adjust their service designs accordingly.

This paper provides a step toward the operationalization of the dimension-related experience co-creation construct and presents an approach to defining the antecedents of experience co-creation by considering different research perspectives that can enhance service design research.

Inconsistent research output makes critical literature reviews crucial tools for assessing and developing the knowledge base within a research field. Literature reviews in the field of supply chain management (SCM) are often considerably less stringently presented than other empirical research. Replicability of the research and traceability of the arguments and conclusions call for more transparent and systematic procedures. The purpose of this paper is to elaborate on the importance of literature reviews in SCM.

Literature reviews are defined as primarily qualitative synthesis. Content analysis is introduced and applied for reviewing 22 literature reviews of seven sub‐fields of SCM, published in English‐speaking peer‐reviewed journals between 2000 and 2009. A descriptive evaluation of the literature body is followed by a content analysis on the basis of a specific pattern of analytic categories derived from a typical research process.

Each paper was assessed for the aim of research, the method of data gathering, the method of data analysis, and quality measures. While some papers provide information on all of these categories, many fail to provide all the information. This questions the quality of the literature review process and the findings presented in respective papers.

While 22 literature reviews are taken into account in this paper as the basis of the empirical analysis, this allows for assessing the range of procedures applied in previous literature reviews and for pointing to their strengths and shortcomings.

The findings and subsequent methodological discussions aim at providing practical guidance for SCM researchers on how to use content analysis for conducting literature reviews.

Based on a framework developed by Kovács and Spens, this paper seeks to assess the use of the three different research approaches in logistics research; discuss the use of different research methods within the three research approaches; find and discuss applications of the abductive research approach to logistics problems.

Content analysis is used in order to categorize the different research approaches. While content analysis commonly uses smaller units such as paragraphs, sentences, words or characters, this study used entire articles as the unit of analysis. The scope of the review encompassed five years (1998‐2002) of articles in IJLM, IJPDLM and JBL. A total of 378 articles was reviewed and categorized.

The findings of the study corroborate earlier studies regarding the main research approach used in logistics. Published logistics research is hypothetico‐deductive, with a strong emphasis on using survey methods. Nevertheless, inductive as well as abductive research is gaining importance. However, most logistics articles do not explicitly discuss the research process, nor the approach used. Therefore, a call for more explicit statements of the research approach is suggested.

The review of the articles is limited to three main journals in the field. A more comprehensive view of research approaches could be obtained by broadening the review to include also other types of research.

The paper provides a framework and guidelines to researchers for explicitly discussing the research approach used in logistics articles.

The paper provides an overview of the research approaches used in logistics research.

The purpose of this paper is to review the use of content analysis in social and environmental reporting (SER) research. It explores how the relevant literature has evolved over time and particularly how recent developments have affected the validity and reliability challenges that researchers face when executing the method.

The paper combines a quasi-systematic review of the literature employing content analysis (examining a sample of 251 studies published over the last 40 years in a wide array of journals with interest in the field), with a largely interpretive meta-analysis, using an index, considering the research questions asked and frameworks used as well as the specific content analysis decisions.

A number of issues of concern in the use of the method are identified, mainly over comparability and reliability of coding schemes. Potential explanations are developed and methodological refinements that could enhance the usefulness of content analysis methods in SER research are subsequently proposed.

It should be acknowledged that, as 251 SER studies have been reviewed, there is always the possibility that some unique studies that could have contributed in the discussion have been ignored.

By reviewing the use of the method in a comprehensive sample of 251 SER studies published over the last 40 years in a wide array of journals with interest in the field, the paper also offers a guide for researchers (particularly in the SER field) wishing to employ content analysis in the future.

The paper contributes to the literature by offering a critical and comprehensive review of the method’s theoretical underpinnings and application in SER research, and by describing changing patterns in content analysis, in order to help build a more secure foundation for future work.

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.

The purpose of this paper is to explore a citizen-centered tool for public accountability, the popular report (PR). Elaborating on previous studies and on content analysis of a sample of municipalities in the USA, this paper aims to identify the qualitative characteristics and content elements that PR should have to serve as a legitimation tool.

The study adopts a mixed methodology. After the analysis of previous studies on PR and best practices in US municipalities, a list of content elements and qualitative characteristics of PR is compared with results emerging from the content analysis of PR published by of a sample of municipalities in the USA.

The analysis reveals that the PR should embed information about the government’s sources of revenues and taxes, expenditures, cost of government services, liveability and governance of the city.

The paper offers new knowledge on reporting centered on citizens, framing the analysis in the legitimacy theory. Even though the research relates only to the US context, the results may assist standard setters in preparing guidelines for local governments to communicate financial data to citizens and stimulate further research in other contexts.

The results may encourage local governments to prepare a PR suitable to discharge accountability and gain legitimation.

This study is the first to discuss the PR within a theoretical framework, in this case, legitimacy theory. Moreover, a further novelty lays in the analysis carried out on the PRs published by US municipalities in order to derive qualitative characteristics and content elements with which the PR should comply.

The qualitative characteristics of decision-useful financial information (as set out in the revised March 2018 Conceptual Framework for financial reporting of the International Accounting Standards Board [IASB]) are fundamental for standard setting relied on by companies when making accounting policy changes and choices. However, there has not been an overarching universally agreed conceptual context of the qualitative characteristics. This paper aims to study the completeness of the qualitative characteristics towards suggesting a revision of the Conceptual Framework.

The present study evaluated the completeness of these qualitative characteristics using Foucauldian critical discourse analysis and content analysis paradigms to elucidate the inclusion conundrum. Foucauldian analysis allowed focus on power relationships, governmentality and subjectification in accounting society, as expressed through language and practices of the IASB who ultimately decide on the qualitative characteristics. Content analysis was used to analyse data collected via interviews with preparers and users of banks’ accounts, changes in banks’ accounting policies after the conceptual framework was published and comment letters from banks who wrote to the IASB.

Novel findings from this study revealed the potential significant omissions of the constraints of “materiality”, “transparency” and “regulatory/supervisory framework”. Also, surrounding the qualitative characteristics having been shown to be valid and includable, the adjective “decision-useful” reinstated in the chapter title and the IASB project team technical writers needing to show completeness of attention to all comments.

From these findings, a freshly formulated chapter in the conceptual framework on the qualitative characteristics can now be submitted for consideration by the IASB, with potential for international post-implementation review.

This paper aims to introduce the extended qualitative content analysis (EQCA) method to integrate data-reducing and data-complicating research steps when conducting qualitative research on the United Nations and other international institutions.

EQCA supplements the method of qualitative content analysis, which enables researchers to deal with large amounts of data, with two elements from grounded theory, which allow detailed analysis and interpretation of codes and sub-codes. The elements in question are axial coding and theoretical sampling.

EQCA provides a method to generate middle-range theories by combining theoretical and empirical analysis to address and theorize the complex interactions between actors, structures and norms in international institutions. The value added by the proposed method is demonstrated with a case study of a United Nations intergovernmental working group in the issue area of business and human rights.

Based on the concepts of interpretation and social causality, this paper contributes to the body of qualitative research that transcends the dichotomy between positivist and post-positivist approaches in the disciplines of international relations and international political theory.