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Federica Ricceri

Bio: Federica Ricceri is an academic researcher from University of Padua. The author has contributed to research in topics: Intellectual capital & Strategic management. The author has an hindex of 15, co-authored 27 publications receiving 3658 citations.

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TL;DR: In this article, the authors review the use of content analysis as a research method in understanding ICR and offer some observations on the practical utility of the method and suggest two theoretical foundations for further investigation into the voluntary disclosure of IC by organisations, and suggest why content analysis is well matched to both these theories as a means to collect empirical data to test research propositions.
Abstract: Increasingly, researchers in the field of intellectual capital (IC) need to be able to justify the specific research methods they use to collect the empirical data that they examine to support and test opinions regarding the merit of different approaches to managing and reporting IC. Of the various methods available to researchers seeking to understand intellectual capital reporting (ICR), content analysis is the most popular. The aim of this paper is to review the use of content analysis as a research method in understanding ICR and to offer some observations on the practical utility of the method. Further, the paper examines several research method issues relating to the use of content analysis that have been discussed in the social environmental accounting literature, but not as yet in the IC literature, which we believe are relevant to investigations underway in the field of ICR. This paper reports on several developmental issues we have confronted when using content analysis to examine the voluntary disclosure of IC in annual reports by various organisations. The paper also suggests two theoretical foundations for further investigation into the voluntary disclosure of IC by organisations, and suggests why content analysis is well matched to both these theories as a means to collect empirical data to test research propositions.

1,158 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined the ICD disclosure provided by listed Italian companies in annual reports from the year 2001, and compared these results with a number of previous national studies, concluding that industry and size are not important in determining the content of information disclosed.
Abstract: In recent years a world‐wide debate has emerged on the future of business reporting There is growing agreement that traditional financial reporting is inadequate in meeting with the information needs of stakeholders, particularly in a knowledge economy characterised by a rapidly emerging emphasis on intellectual capital (IC) This study examines voluntary intellectual capital disclosure (ICD) provided by listed Italian companies in annual reports from the year 2001 The study aims to answer two research questions namely: what is the amount and content of ICD; and what are the factors that influence different voluntary reporting behaviours In relation to amount and content of information disclosed, the results are consistent with previous ICD studies showing extensive disclosure of external capital (in particular about “customers”) Regarding the factors that can explain different voluntary reporting practices, findings suggest that industry and size are not important in determining the content of information disclosed, however, as found in social and environmental disclosure (SED) studies, these factors are relevant in explaining the amount of information disclosed In summary, this paper highlights the ICD practices of Italian listed companies by examining their annual reports, and compares these results with a number of previous national studies

598 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigate the use of three reporting practices: stand-alone reports, assurance, and reporting guidance in relation to disclosure proxies that capture the quality of disclosure along three complementary dimensions: the content of the information disclosed, the type of information used to describe and discuss CSR issues, and the managerial orientation.

583 citations

Journal ArticleDOI
TL;DR: The field of Intellectual Capital Accounting Research (ICA) has attracted much attention over the past decade as discussed by the authors, and the literature indicates that an organisational and business revolution is in progress concerning the need to understand the value of knowledge resources and how to manage them.
Abstract: The purpose of this paper is to review and critique the field of Intellectual Capital Accounting Research (ICAR). The literature indicates that an organisational and business revolution is in progress concerning the need to understand the value of knowledge resources and how to manage them. The paper explores the field of ICAR by examining a decade of published research since Petty and Guthrie's (2000) seminal paper on ICA, “Intellectual capital literature review: Measurement, reporting and management” as published in the Journal of Intellectual Capital. The paper has four specific contributions. The first contribution is to identify the field of scholarship associated with ICAR. The second is to provide a comprehensive picture of what has happened in the field of ICAR over the past decade. Third, it provides evidence as to how and why the field of ICAR is changing. Fourth, it highlights areas for future research and policy developments. From these four contributions our definition of Intellectual Capital Accounting (ICA) emerges. That is, ICA is an accounting, reporting and management technology of relevance to organisations to understand and manage knowledge resources. It can account and report on the size and development of knowledge resources such as employee competencies, customer relations, financial relationships and communication and information technologies. Additionally, the analysis highlights several interesting patterns and worrying trends in the field of ICAR.

550 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigate the voluntary reporting of intellectual capital (IC) by listed companies in Australia and Hong Kong and evaluate size, industry and time effects on IC disclosure levels.
Abstract: Purpose – The purpose of this paper is to investigate the voluntary reporting of intellectual capital (IC) by listed companies in Australia and Hong Kong and to evaluate size, industry and time effects on IC disclosure levels.Design/methodology/approach – The study is an empirical one conducted in two stages. Stage one is an exploratory study of voluntary IC disclosure for the 20 largest listed Australian companies in 1998. Stage two, using 2002 data, examines voluntary disclosure of IC attributes for 50 listed entities in Australia and 100 in Hong Kong. Content analysis is used to collect data.Findings – Levels of voluntary IC disclosure are found to be low and in qualitative rather than quantitative form in both locations. Disclosure level is positively related to company size, a finding that is consistent with the previous literature on voluntary reporting.Research limitations/implications – External validity may be compromised somewhat by the relatively small sample size. Managers are not observed in ...

493 citations


Cited by
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Journal ArticleDOI
TL;DR: Inductive content analysis is used in cases where there are no previous studies dealing with the phenomenon or when it is fragmented, and a deductive approach is useful if the general aim was to test a previous theory in a different situation or to compare categories at different time periods.
Abstract: Aim This paper is a description of inductive and deductive content analysis. Background Content analysis is a method that may be used with either qualitative or quantitative data and in an inductive or deductive way. Qualitative content analysis is commonly used in nursing studies but little has been published on the analysis process and many research books generally only provide a short description of this method. Discussion When using content analysis, the aim was to build a model to describe the phenomenon in a conceptual form. Both inductive and deductive analysis processes are represented as three main phases: preparation, organizing and reporting. The preparation phase is similar in both approaches. The concepts are derived from the data in inductive content analysis. Deductive content analysis is used when the structure of analysis is operationalized on the basis of previous knowledge. Conclusion Inductive content analysis is used in cases where there are no previous studies dealing with the phenomenon or when it is fragmented. A deductive approach is useful if the general aim was to test a previous theory in a different situation or to compare categories at different time periods.

14,963 citations

Journal ArticleDOI
TL;DR: In this article, the authors examined the trustworthiness of content analysis in nursing science studies and found that content analysis is commonly used for analyzing qualitative data, however, few articles have examined the use of QCA in nursing studies.
Abstract: Qualitative content analysis is commonly used for analyzing qualitative data. However, few articles have examined the trustworthiness of its use in nursing science studies. The trustworthiness of q...

5,401 citations

01 Jan 2008
TL;DR: In this article, the authors argue that rational actors make their organizations increasingly similar as they try to change them, and describe three isomorphic processes-coercive, mimetic, and normative.
Abstract: What makes organizations so similar? We contend that the engine of rationalization and bureaucratization has moved from the competitive marketplace to the state and the professions. Once a set of organizations emerges as a field, a paradox arises: rational actors make their organizations increasingly similar as they try to change them. We describe three isomorphic processes-coercive, mimetic, and normative—leading to this outcome. We then specify hypotheses about the impact of resource centralization and dependency, goal ambiguity and technical uncertainty, and professionalization and structuration on isomorphic change. Finally, we suggest implications for theories of organizations and social change.

2,134 citations

Journal ArticleDOI
TL;DR: In this article, the authors review the use of content analysis as a research method in understanding ICR and offer some observations on the practical utility of the method and suggest two theoretical foundations for further investigation into the voluntary disclosure of IC by organisations, and suggest why content analysis is well matched to both these theories as a means to collect empirical data to test research propositions.
Abstract: Increasingly, researchers in the field of intellectual capital (IC) need to be able to justify the specific research methods they use to collect the empirical data that they examine to support and test opinions regarding the merit of different approaches to managing and reporting IC. Of the various methods available to researchers seeking to understand intellectual capital reporting (ICR), content analysis is the most popular. The aim of this paper is to review the use of content analysis as a research method in understanding ICR and to offer some observations on the practical utility of the method. Further, the paper examines several research method issues relating to the use of content analysis that have been discussed in the social environmental accounting literature, but not as yet in the IC literature, which we believe are relevant to investigations underway in the field of ICR. This paper reports on several developmental issues we have confronted when using content analysis to examine the voluntary disclosure of IC in annual reports by various organisations. The paper also suggests two theoretical foundations for further investigation into the voluntary disclosure of IC by organisations, and suggests why content analysis is well matched to both these theories as a means to collect empirical data to test research propositions.

1,158 citations

Journal ArticleDOI
TL;DR: In this paper, content analysis is applied for reviewing 22 literature reviews of seven sub-fields of supply chain management, published in English-speaking peer-reviewed journals between 2000 and 2009.
Abstract: Purpose – 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.Design/methodology/approach – 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.Findings – Each paper was assess...

808 citations