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The purpose of this paper is to use user-generated content (UGC) on social media platforms to infer the possible place brand identities of two famous metropolitan areas in Bangkok, Thailand, namely, Khaosan Road and Yaowarat (Bangkok’s Chinatown), both of which are famous for their street vendors and nightlife. These two places are interesting study sites because of recent identity conflicts among their stakeholders. The method developed in this research can help other places to better understand place brand identities and, as such, effectively plan for and manage those places.

The author used content analysis to study 782 user-generated images on Flickr and 9,633 user-generated textual reviews of Khaosan Road and Yaowarat from TripAdvisor and Google Maps’ Local Guide. MAXQDA was used to code all the images. User-generated textual reviews were studied using Leximancer. The author also introduced a positivity of concept analysis to identify positive and negative components of place brand identity.

The author developed a place brand identity framework that includes three pillars, namely, place physics, place practices and place personality. Content analysis of the images generated 105 codes and a count of the frequency of the codes that represent place brand identity. Content analysis of textual reviews created the concepts in the three pillars and identified the positive and negative concepts for both places. The results of both image and text analyses showed that street food vending is one of the most salient components of place brand identity for both Khaosan Road and Yaowarat.

The author suggested several place branding strategies for the Bangkok Metropolitan Administration such as turning Khaosan Road into a music scene for both visitors and locals, controlling excessive and aggressive commercialism, sponsoring the production of creative and authentic content, initiating a compelling online campaign that focusses on the items sold in Yaowarat, hosting a spotlight event such as a seafood festival and improving hygiene and walkability.

Both the advancement of digital technologies and the complexity of stakeholders create a need for empirical studies on place branding involving the participation of the widest possible range of stakeholders and studies on the influence of social media. This research is the first to use both image and text analyses to study place brand identity from UGC. The use of both analyses allows the two methods to complement one another while mitigating the weaknesses of each.

Forensic nursing is a term applied to nurses working in many different areas of clinical practice, such as high security hospitals, medium secure units, low secure units, acute mental health wards, specialised private hospitals, psychiatric intensive care units, court liaison schemes, and outpatient, community and rehabilitation services. Rarely is the term defined in the general literature and as a concept it is multifaceted. Concept analysis is a method for exploring and evaluating the meaning of words. It gives precise definitions, both theoretical and operational, for use in theory, clinical practice and research. A concept analysis provides a logical basis for defining terms and helps us to refine and define a concept that derives from practice, research and theory. This paper uses the strategy of concept analysis to explore the term ‘forensic nursing’ and finds a working definition of forensic mental health nursing. The historical background and literature are reviewed using concept analysis to bring the term into focus and to define it more clearly. Forensic nursing is found to derive from forensic practice. A proposed definition of forensic nursing is given.

This study aims to provide researchers a holistic approach for comprehensive understanding of the Bitcoin-related research by discovering its trends, subjects, relations, keywords and concepts.

An integrated approach of bibliometric analysis, network analysis and concept linking analysis was proposed for exploring Bitcoin-related studies from 70 countries in the Scopus database.

The bibliometric analysis shows that electronic money and blockchain are the mainstream issues of Bitcoin, and the domain distribution of the literature is mainly in engineering-related fields. Through the network analysis of cocitations, co-occurrences and cowords, research clusters were discovered respectively from different perspectives. The authors also have mastered a multilevel concept linking diagram for six related major concepts.

The major contribution of this research is about providing an integrated and comprehensive approach to extract the mainstream issues that can help researchers conduct Bitcoin-relevant research. This study shows the development trend, context and clusters of Bitcoin-related studies from various perspectives networks and produces a visual concept linking diagram that will enable researchers to quickly understand the contextual relationship between Bitcoin keywords during literature analysis. In addition, the most crucial studies in the main topics are extracted to save the considerable time and labor that would be required to manually read all the literature and summarize the issues.

The purpose of this paper is to illustrate how qualitative data may be analysed using a method that can be considered as rigorous/scientific as any statistical analysis of quantitative data.

An artificial neural network programme CATPAC II™ was used to evaluate selected portions of two accounting standards: the Financial Reporting Standards Board of New Zealand's standard on consolidation; and the equivalent standard developed by the International Accounting Standards Committee and revised by the International Accounting Standards Board.

The analysis of the concepts of control in the two standards identifies the differences that exist between the two standards. These differences are illuminated through the use of a hierarchical cluster analysis of 40 unique concepts in each of the two standards and 2D representation of the concepts. The extent of the differences in the concepts was established through a rotational analysis of the two datasets.

This research is limited to the analysis of the concept of control and associated commentary paragraphs and supporting documents associated with two accounting standards. Different results may have been obtained had the whole standard been analysed.

Artificial neural network software can be used to support the intuitive textual understanding of the differences that exist in qualitative data. In this paper, the differences identified in the concepts of control may result in different interpretations being taken by the accounting standard users when determining what reporting entities to include in consolidated financial statements. Some additional uses for artificial neural network software in accounting research are also identified.

This paper is the first in the discipline to use artificial neural network software to analyse and compare different texts.

The purpose of this paper is to provide clarification of critical human resource development (CHRD), an emerging concept that is complex, ambiguous and lacks clarity.

To address this problem, the technique of concept analysis is employed to help clarify the understanding of CHRD. Concept analysis presents theoretical definitions and defining characteristics of CHRD, drawing upon an extensive review of research literature. Benefits and limitations of the technique are also explored.

The concept analysis identifies antecedents, attributes and consequences of critical HRD. These include: personal and organizational factors; challenging contemporary practices, exposing assumptions, and emancipation; and more democratic work production, improved (working/learning) relationships; and improved creativity and productivity.

This paper presents an initial concept analysis of the emerging concept of critical HRD. This is not without difficulty given the complexity and ambiguity associated with the concept. It has been beyond the scope of this paper to present model and contrary cases of CHRD. Providing clearer operational definitions can assist researchers to investigate and evaluate critical approaches to HRD.

Defining characteristics of CHRD can help provide clearer operational definitions to assist practitioners enact and evaluate critical approaches to HRD.

The paper provides the first ever concept analysis of critical human resource development. The use of this method itself makes a new contribution to the study of HRD. This concept analysis provides other researchers, teachers and practitioners insight into what CHRD might be, through the identification of its attributes, what antecedents and actions it requires, and the possible positive consequences it might realise, thus contributing to new knowledge.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.

Although acknowledged as a principal dimension in the context of text mining, time has yet to be formally incorporated into the process of visually representing the relationships between keywords in a knowledge domain. This paper aims to develop and validate the feasibility of adding temporal knowledge to a concept map via pair-wise temporal analysis (PTA).

The paper presents a temporal trend detection algorithm – vector space model – designed to use objective quantitative pair-wise temporal operators to automatically detect co-occurring hot concepts. This PTA approach is demonstrated and validated without loss of generality for a spectrum of information technologies.

The rigorous validation study shows that the resulting temporal assessments are highly correlated with subjective assessments of experts (n = 136), exhibiting substantial reliability-of-agreement measures and average predictive validity above 85 per cent.

Using massive amounts of textual documents available on the Web to first generate a concept map and then add temporal knowledge, the contribution of this work is emphasized and magnified against the current growing attention to big data analytics.

This paper proposes a novel knowledge discovery method to improve a text-based concept map (i.e. semantic graph) via detection and representation of temporal relationships. The originality and value of the proposed method is highlighted in comparison to other knowledge discovery methods.

This paper aimed to explore the submissions made to the National Greenhouse and Energy Reporting (NGER) policy paper by corporations and other stakeholders. It also sought to establish whether broader climate change issues were addressed in the context of the submissions.

The agenda‐setting framework was utilised to provide the theoretical perspective for the study. This research applied a combination of concept analysis and mapping, and content analysis, of the submissions using the Leximancer software tool.

The study found a divergence in the responses of corporations and other stakeholders, with the former focusing primarily on the NGER policy paper, while the latter presented significant concerns over carbon pollution and climate change, an issue that was not the primary concern of the policy paper. Moreover, corporations also acknowledged the close link between the NGER process and a future emissions trading scheme, and expressed concerns over the development of a mechanism that would put a price on carbon.

The paper contributes to the limited literature on carbon accounting and reporting in relation to both the local and international context. Moreover, an agenda‐setting perspective provided a suitable lens for understanding the NGER submissions process and its role within the broader climate change policy area in Australia.

Policies are influenced by key players and their familiarity with these policies could lead to successful implementation. The establishment of the NGER legislation was deemed successful, despite concerns raised in the submissions. This was because the policy used corporate reporting as a means of assessing accountability for carbon emissions. This finding has implications for other nations seeking to develop mandatory carbon reporting.

The paper has built further explanatory potential of the agenda‐setting framework, provides direct evidence in relation to stakeholder submissions to prospective environmental legislation, and adds to the use of combination methods that can be utilised for effectively analysing stakeholder submissions on major policy questions and issues.