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This paper presents a co-authorship study of authors who published in Digital Humanities journals and examines the apparent influence of gender, or more specifically, the quantitatively detectable influence of gender in the networks they form.

This study applied co-authorship network analysis. Data has been collected from three canonical Digital Humanities journals over 52 years (1966–2017) and analysed.

The results are presented as visualised networks and suggest that female scholars in Digital Humanities play more central roles and act as the main bridges of collaborative networks even though overall female authors are fewer in number than male authors in the network.

This is the first co-authorship network study in Digital Humanities to examine the role that gender appears to play in these co-authorship networks using statistical analysis and visualisation.

Intellectual capital (IC) is believed to be more important resources to add the value of a company rather than physical assets. This gives rise to the increasing practice of reporting IC information in corporate annual report. Over the past fifteen years, considerable numbers of studies have employed content analysis to examine the extent and nature of IC information in several countries, but they presented different results. These results might partly contribute to different methods in counting information. In fact, the previous studies have been critised for not explicitly clarifying how information was recoded and counted which led to incomparable findings. Therefore, this paper firstly seeks to discuss an illustrative example of ‘sense-making‘ process in identifying, categorizing, and counting of IC information in annual reports of pilot sample company. Secondly, the method refined in the pilot study was applied over the final samples of six large companies in the UK from 1974 to 2008 The contribution of this paper is to primarily refine the previous method in recoding information, to send a message that transparency is crucial in content analysis and to facilitate method replication for future studies. Overall, this study demonstrates a marked increase in IC information disclosure was identified over the 35 years. The relational capital information disclosure was relatively more prominent over time, followed by human capital and structural capital.

The purpose of this paper is to acknowledge that there are bibliometric differences between Social Sciences and Humanities (SSH) vs Science, Technology, Engineering and Mathematics (STEM). It is not so that either SSH or STEM has the right way of doing research or working as a scholarly community. Accordingly, research evaluation is not done properly in one framework based on either a method from SSH or STEM. However, performing research evaluation in two separate frameworks also has disadvantages. One way of scholarly practice may be favored unintentionally in evaluations and in research profiling, which is necessary for job and grant applications.

In the case study, the authors propose a tool where it may be possible, on one hand, to evaluate across disciplines and on the other hand to keep the multifaceted perspective on the disciplines. Case data describe professors at an SSH and a STEM department at Aalborg University. Ten partial indicators are compiled to build a performance web – a multidimensional description – and a one-dimensional ranking of professors at the two departments. The partial indicators are selected in a way that they should cover a broad variety of scholarly practice and differences in data availability.

A tool which can be used both for a one-dimensional ranking of researchers and for a multidimensional description is described in the paper.

Limitations of the study are that panel-based evaluation is left out and that the number of partial indicators is set to 10.

The paper describes a new tool that may be an inspiration for practitioners in research analytics.

The current review aims to examine the growth trajectory, most influential documents, intellectual and conceptual structure of the literature regarding gender issues in family business research.

The bibliometric analysis was performed using 224 documents from 1991 to 2020 extracted from the Web of Science database.

The review finds that this field's knowledge grew exponentially during the last three decades, mainly after 2003 and the last several years. Based on the co-citation analysis, three major research lines are identified: “Women's challenges and opportunities in the family business”, “Gender diversity in the family business corporate board”, and “Gender and family SMEs management.” The temporal co-word analysis reveals that “Gender diversity in the family business corporate board” is the latest research line.

By reviewing prominent cited references and documents that cited them, the authors provide the landscapes and research gaps of three major research lines for further development.

This article explores the concept of ‘linguistic landscape’ (Landry & Bourhis, 1997) and applies it to the Tutong Town Centre, which was depicted briefly in the film Gema Dari Menara (1968). Due to the cursory and grainy depiction on screen, a study of the present linguistic landscape of the town featured in the film is far more practical than a detailed comparison of the linguistic landscape of Tutong town then and now. In essence the film has provided a geographical scope for linguistic/ semiotic analysis presented in this paper. The study of signs ‘in a given geographical location’ (Ben Rafael et al, 2006: 14), using the distributive count approach, lends itself to a greater understanding of the ethnolinguistic vitality and sociolinguistic interactions of the language groups living in what can be described as a multilingual and multiracial small town. Such evidence of language use in the public sphere results from an interplay of various factors within the town’s societal context, that could be related to Scollon & Scollons’ (2003:2) idea of ‘the social meaning of material placement of sign and discourses'. This study challenges the notion of ethnic languages’ 'disappearance' from public sphere, and instead raises questions about their ‘initiation’ into public use. The study also concludes that the supposed multilinguality of the Tutong Town population is not represented in the linguistic landscape.

The production process of processed food products may involve several countries. This multi-dimensionality of the country of origin (COO) may affect consumer preferences for the products. We apply Case 2 best–worst scaling to measure Japanese consumers’ preferences for three dimensions of the COO of a vegetable juice product.

The three dimensions of the COO include these: the country where the raw materials of the product were grown (the country of growing), the country where the raw materials were processed (the country of processing) and the country where the food company producing the product is headquartered (the country of the company). Japan, Australia, Thailand and China are the countries considered for the three COO-related attributes. Sixteen juice products (profiles) were created from the three four-level attributes. A survey queried 416 consumers to select the best and worst ones from among the three attribute levels shown in each profile.

The average utility of the country of growing is the highest among those of the three COO-related attributes. However, consumers evaluate the country of growing as the least preferred among the three attributes with respect to a country with a negative food quality reputation.

This is the first Case 2 best–worst scaling study to measure consumer preferences for the three dimensions of the COO of processed food products. It suggests marketing strategies for domestic and international juice companies.

The field of scientific research on small and medium-sized family businesses has been growing exponentially and the aim of this paper is to systematize the body of knowledge to develop an agenda for the future.

Adopting comparative bibliometric analyses on 155 articles (from 1989 until 2018) the authors provide a systematic assessment of the scientific research about small family firms, unveiling the structure and evolution of the field. Bibliographic coupling, co-citation analysis and co-occurrence analysis are adopted to identify the most influential studies and themes.

Four clusters of research are reviewed: succession in family SMEs, performances of family SMEs, internationalization of family SMEs and organizational culture of family SMEs.

This paper contributes to the field of family SMEs by providing a systematic analysis of the scientific knowledge. Reviewing those clusters allows to providing avenues and reflections for future research and further practice.