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Although it is commonly assumed that comparative studies are the best way to proceed in constructing theories of organizing, the practical fulfillment of this postulate has always been problematic. For example, anthropologists should have given organization theorists a clue long ago: they made the stories of their exotic localities interesting by using a variety of fictional approaches in their reporting. The purpose of this paper is to call for the development of anthropologies of organization through “distant reading” of novels.

The paper uses insights from literary theory, notably Iser and Moretti, to discuss the benefits of “distant readings” of novels for scholars and students within the discipline of organization studies.

Distant readings can make it possible for those studying organizations to consider novels as sources in historical anthropology; can enable an exploration of the theories embedded in the novel; can contribute to advancement in approaches to reading fieldwork material, and can help organization theorists better delineate the boundaries of their own literary genre.

The paper broadens the understanding of the relationship between the novel and organization through explaining how reading novels through the glasses of an organization theoretician might produce “novel readings” but also novel insights into the practices of organizing – across times and places.

This study aims to develop a hierarchical topic analysis tool (HTAT) based on hierarchical Latent Dirichelet allocation (hLDA) to support digital humanities research that is associated with the need of topic exploration on the Digital Humanities Platform for Mr. Lo Chia-Lun’s Writings (DHP-LCLW). HTAT can assist humanities scholars on distant reading with analysis of hierarchical text topics, through classifying time-stamped texts into multiple historical eras, conducting hierarchical topic modeling (HTM) according to the texts from different eras and presenting through visualization. The comparative network diagram is another function provided to assist humanities scholars in comparing the difference in the topics they wish to explore and to track how the concept of a topic changes over time from a particular perspective. In addition, HTAT can also provide humanities scholars with the feature to view source texts, thus having high potential to be applied in promoting the effectiveness of topic exploration due to simultaneously integrating both the topic exploration functions of distant reading and close reading.

This study adopts a counterbalanced experimental design to examine whether there is significant differences in the effectiveness of topic inquiry, the number of relevant topics inquired and the time spent on them when research participants were alternately conducting text exploration using DHP-LCLW with HTAT or DHP-LCLW with Single-layer Topic Analysis Tool (SLTAT). A technology acceptance questionnaire and semi-structured interviews were also conducted to understand the research participants' perception and feelings toward using the two different tools to assist topic inquiry.

The experimental results show that DHP-LCLW with HTAT could better assist the research participants, in comparison with DHP-LCLW with SLTAT, to grasp the topic context of the texts from two particular perspectives assigned by this study within a short period. In addition, the results of the interviews revealed that DHP-LCLW with HTAT, in comparison with SLTAT, was able to provide a topic terms that better met research participnats' expectations and needs, and effectively guided them to the corresponding texts for close reading. In the analysis of technology acceptance and interview data, it can be found that the research participants have a high and positive tendency toward using DHP-LCLW with HTAT to assist topic inquiry.

The Jieba Chinese word segmentation system was used in the Mr. Lo Chia-Lun’s Writings Database in this study, to perform word segmentation on Mr. Lo Chia-Lun’s writing texts for topic modeling based on hLDA. Since Jieba word segmentation system is a lexicon based word segmentation system, it cannot identify new words that have still not been collected in the lexicon well. In this case, the correctness of word segmentation on the target texts will affect the results of hLDA topic modeling, and the effectiveness of HTAT in assisting humanities scholars for topic inquiry.

An HTAT was developed to support digital humanities research in this study. With HTAT, DHP-LCLW provides hmanities scholars with topic clues from different hierarchical perspectives for textual exploration, and with temporal and comparative network diagrams to assist humanities scholars in tracking the evolution of the topics of specific perspectives over time, to gain a more comprehensive understanding of the overall context of the texts.

In recent years, topic analysis technology that can automatically extract key topic information from a large amount of texts has been developed rapidly, but the topics generated from traditional topic analysis models like LDA (Latent Dirichelet allocation) make it difficult for users to understand the differences in the topics of texts with different hierarchical levels. Thus, this study proposes HTAT which uses hLDA to build a hierarchical topic tree with a tree-like structure without the need to define the number of topics in advance, enabling humanities scholars to quickly grasp the concept of textual topics and use different hierarchical perspectives for further textual exploration. At the same time, it also provides a combination function of temporal division and comparative network diagram to assist humanities scholars in exploring topics and their changes in different eras, which helps them discover more useful research clues or findings.

Digital humanities research platform for biographies of Malaysia personalities (DHRP-BMP) was collaboratively developed by the Research Center for Chinese Cultural Subjectivity in Taiwan, the Federation of Heng Ann Association Malaysia, and the Malaysian Chinese Research Center of Universiti Malaya in this study. Using The Biographies of Malaysia Henghua Personalities as the main archival sources, DHRP-BMP adopted the Omeka S, which is a next-generation Web publishing platform for institutions interested in connecting digital cultural heritage collections with other resources online, as the basic development system of the platform, to develop the functions of close reading and distant reading both combined together as the foundation of its digital humanities tools.

The results of the first-stage development are introduced in this study, and a case study of qualitative analysis is provided to describe the research process by a humanist scholar who used DHRP-BMP to discover the character relationships and contexts hidden in The Biographies of Malaysia Henghua Personalities.

Close reading provided by DHRP-BMP was able to support humanities scholars on comprehending full text contents through a user-friendly reading interface while distant reading developed in DHRP-BMP could assist humanities scholars on interpreting texts from a rather macro perspective through text analysis, with the functions such as keyword search, geographic information and social networks analysis for humanities scholars to master on the character relationships and geographic distribution from personality biographies, thus accelerating their text interpretation efficiency and uncovering the hidden context.

At present, a digital humanities research platform with real-time characters’ relationships analysis tool that can automatically generate visualized character relationship graphs based on Chinese named entity recognition (CNER) and character relationship identification technologies to effectively assist humanities scholars in interpreting characters’ relationships for digital humanities research is still lacking so far. This study thus presents the DHRP-BMP that offers the key features that can automatically identify characters’ names and characters’ relationships from personality biographies and provide a user-friendly visualization interface of characters’ relationships for supporting digital humanities research, so that humanities scholars could more efficiently and accurately explore characters’ relationships from the analyzed texts to explore complicated characters’ relationships and find out useful research findings.

This paper aims to determine if the digital humanities technique of topic modeling would reveal interesting patterns in a corpus of library-themed literature focused on the future of libraries and pioneer a collaboration model in librarian-led digital humanities projects. By developing the project, librarians learned how to better support digital humanities by actually doing digital humanities, as well as gaining insight on the variety of approaches taken by researchers and commenters to the idea of the future of libraries.

The researchers collected a corpus of over 150 texts (articles, blog posts, book chapters, websites, etc.) that all addressed the future of the library. They ran several instances of latent Dirichlet allocation style topic modeling on the corpus using the programming language R. Once they produced a run in which the topics were cohesive and discrete, they produced word-clouds of the words associated with each topic, visualized topics through time and examined in detail the top five documents associated with each topic.

The research project provided an effective way for librarians to gain practical experience in digital humanities and develop a greater understanding of collaborative workflows in digital humanities. By examining a corpus of library-themed literature, the researchers gained new insight into how the profession grapples with the idea of the future and an appreciation for topic modeling as a form of literature review.

Topic modeling a future-themed corpus of library literature is a unique research project and provides a way to support collaboration between library faculty and researchers from outside the library.

The purpose of this paper is to review how historical research data are managed and mined today.

The methodology builds on observations over the last decade.

Reading speed is a factor in managing the quantity of text in historical research. Twenty years ago historical research involved visits to physical libraries and archives, but today much of the information is online. The granularity of reading has changed over recent decades and recognizing this change is an important factor in improving acce.

Computer-based humanities text mining could be simpler if publishers and libraries would manage the data in ways that facilitate the process. Some aspects still need development, including better context awareness, either by writing context awareness into programs or by encoding it in the text.

Future researchers who want to make use of text mining and distant reading techniques will need more thorough technical training than they get today.

There is relatively little discussion of text mining and distant reading in the LIS literature.

This paper aims to explore accounting across time and space via novels.

The paper uses distant readings.

The paper reveals peculiarities and commonalities of the work of Certified Public Accountants 70 years ago and now.

The originality/value is to be decided by readers.

DISTANT READING COMPASSES ONE of the most interesting German aircraft installations is centred around the distant reading compass.

The rapid development of eHealth requires the extension of existing health informatics competences sets. These competences are needed not only by health-care professionals but also by health-care consumers. The purpose of this paper is to analyse literature production of health informatics and eHealth competences/skills (EHCS).

Bibliometric analysis and mapping have been used as a form of distant reading approach in the manner to perform thematic analysis, identify gaps in knowledge and predict future trends.

This study shows that the literature production of health informatics and EHCS differs in bibliometric indicators, as well as in research content. Thematic analysis showed that medicine is the most productive subject area in both fields. However, health informatics competencies/skills are more oriented toward education, nursing, electronic health record and evidence-based practice, while EHCS cover health information technology, engineering, computer science and patient-centred care. The literature research production exhibits positive trend and is geographically widespread in both fields.

The use of Scopus database might have led to different results if the authors had used Web of Science or Medline, because of the fact that different databases cover different lists of source titles. The authors used various search strings, and the most optimal one for their study; however, a different search string might result in slightly different outcomes. In addition, the thematic analysis has been performed on information source abstracts and titles only, as the analysis of full texts (if available) could lead to different results. Despite the fact that the thematic analysis has been performed by three researchers with different scientific backgrounds, the results of the analysis are subjective. On the other hand, the bibliometric analyses and comparison of health informatics and eHealth competences have never been done before and this study revealed some important gaps in research in both fields.

The World Health Organization defined four distinct but related components of eHealth: mobile health, health information systems, telemedicine and distance learning. While the research in telemedicine and health information systems seems to be well covered, the skills and competencies in mobile health and distant learning should be researched more extensively.

More research in the skills and competencies associated with so-called connected health, a new subfield in eHealth research, is needed. The skills and competencies of how to better implement and use the services related to the management of chronic diseases, health coproduction and how to implement eHealth in developing countries are currently under research areas and with candidates for future research. For both health informatics competencies/skills and EHCS, we noted that more research is needed for personalised medicine, health coproduction, smart health, internet of things, internet of services and intelligent health systems.

The literature production on health informatics and EHCS has been analysed for the first time and been compared in a systemic way, using bibliometrics. The results reveal that current research directions as well as knowledge gaps could thus provide guidelines for further research.

This stud aims to analyze the influence that the enabling and coercive management control systems (MCS) have on the individuals’ mental representations and their commitment to goals, satisfaction with the system and perceived organizational support. Under the lens of the construal level theory (CLT), it is assumed that: individuals exhibit more positive behaviors when the MCS is enabling rather than coercive; the effects of MCS on the behavior of individuals are explained by the way they mentally represent events; and these effects are intensified or mitigated according to the psychological distance.

The predictions were tested in an experiment with 131 undergraduate students, assuming a company that decides to implement a performance measurement system.

The results show that enabling MCS are interpreted more abstractly (high level of construction) and coercive MCS are represented more concretely (low level of construction). Furthermore, enabling systems lead to more positive behaviors (commitment to goals and perceived organizational support) than coercive ones, however, the satisfaction with the MCS is affected by both depending on psychological distance.

The CLT allowed broadening the understanding of the effects of enabling and coercive controls on individuals’ behavior, by assuming that mental representation can explain individuals’ behaviors. To the best of the authors’ knowledge, this study is the first to point out that temporal distance can attenuate the negative effects of coercive MCS on satisfaction with the system.