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This article aims to describe how people manage to integrate their use of paper and electronic documents in modern office work environments.

An observational interview type study of 14 participants from 11 offices in eight organizations was conducted. Recorded data were analysed using a thematic analysis method. This involved reading and annotation of interview transcripts, categorizing, linking and connecting, corroborating, and producing an account of the study.

The findings of the study can be categorized into four groups: the roles paper and electronic documents serve in today's offices, the ways in which these documents are managed, the problems associated with their management, and the types of fragmentation that exist in terms of their management and how these are dealt with.

The study has identified the need for better integrated management of paper and electronic documents in present-day offices. The findings of the study have then been used to propose a set of guidelines for the development of integrated paper and electronic document management systems.

Although similar studies of offices have been conducted in the past, almost all of these studies are prior to the widespread use of mobile and network-based shared technologies in office environments. Furthermore, previous studies have generally failed to identify and propose guidelines for integration of paper and electronic document management systems.

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 research the difference in reading and learning from print versus electronic media in a professional and educational setting. To what extent does the materiality of the medium influence the efficiency and effectively of the reader? What is needed to create “digital born” information rich texts? In Part 1, sustained reading of information and knowledge rich texts is addressed.

In‐depth comparative tests with a great number of subjects between print‐on‐paper, e‐ink screens and LCD screens. In Part 1 the results of tests with sustained reading of information and knowledge rich texts are reported.

All tests show that print‐on‐paper is still a superior medium for learning and digesting complicated and elaborate texts, whilst electronic screens are appreciated for quick information gathering, communication and navigation. Electronic representations of information and knowledge demand that the structure of the writing has to change.

Given the rapid development in electronic displays, many issues – in particular ergonomical – become a “moving target”. An important limitation – which is one of the quests of this research – is the lack of sufficient genuine digital born texts.

The need to start and review the writing process; the appearance but also the structure of information and knowledge rich texts. A second issue is the need to develop easy capabilities to make an electronic text as easy a “tool” as the print text, with underlining, comments and notes.

The development of novel ways of publishing educational texts.

Deep qualitative research in comparison with quantitative tests. Comparison between professional information acquisition and learning.

This paper aims to propose a novel approach which integrates collocations and domain concepts for Chinese cosmetic word of mouth (WOM) sentiment classification. Most sentiment analysis works by collecting sentiment scores from each unigram or bigram. However, not every unigram or bigram in a WOM document contains sentiments. Chinese collocations consist of the main sentiments of WOM. This paper reduces the complexity of the document dimensionality and makes an improvement for sentiment classification.

This paper builds two contextual lexicons for feature words and sentiment words, respectively. Based on these contextual lexicons, this paper uses the techniques of associated rules and mutual information to build possible Chinese collocation sets. This paper applies preference vector modelling as the vector representation approach to catch the relationship between Chinese collocations and their associated concepts.

This paper compares the proposed preference vector models with benchmarks, using three classification techniques (i.e. support vector machine, J48 decision tree and multilayer perceptron). According to the experimental results, the proposed models outperform all benchmarks evaluated by the criterion of accuracy.

This paper focuses on Chinese collocations and proposes a novel research approach for sentiment classification. The Chinese collocations used in this paper are adaptable to the content and domains. Finally, this paper integrates collocations with the preference vector modelling approach, which not only achieves a better sentiment classification performance for Chinese WOM documents but also avoids the curse of dimensionality.

Many companies still use paper documents within their service processes, which is supposed to be inefficient, and a digitalisation of documents is a promising alternative. However, such a change is expensive and the process typically has to be adapted. Thus, the purpose of this paper is to show how business process simulation (BPS) can be used to forecast the effects of the introduction of electronic documents.

This paper presents a case study of a German bank, and shows how BPS can be used to evaluate the introduction of electronic documents in financial service processes.

The case study shows how BPS can be applied to evaluate the implications of introducing IT systems using the example of e-files. The results reveal that not only cycle time, but also costs and administrative workload, can be reduced, while the number of processed orders increases.

On the one hand the data generated in the simulation results can form the basis for feasibility studies regarding IT investments, e.g. for the migration of historical data from the old document management system system. On the other hand, further actions can be deduced for sales staff and other processes, which can use employees’ additional free time.

Real case examples are rare, as many companies do not apply simulations. This paper is the first to analyse the impact of introducing electronic documents in service processes using BPS. The paper provides an approach how to conceptualise such settings.

This paper aims to discuss and test the claim that utilization of the personalization techniques can be valuable to improve the efficiency of collaborative information retrieval (CIR) systems.

A new personalized CIR system, called PERCIRS, is presented based on the user profile similarity calculation (UPSC) formulas. To this aim, the paper proposes several UPSC formulas as well as two techniques to evaluate them. As the proposed CIR system is personalized, it could not be evaluated by Cranfield, like evaluation techniques (e.g. TREC). Hence, this paper proposes a new user‐centric mechanism, which enables PERCIRS to be evaluated. This mechanism is generic and can be used to evaluate any other personalized IR system.

The results show that among the proposed UPSC formulas in this paper, the (query‐document)‐graph based formula is the most effective. After integrating this formula into PERCIRS and comparing it with nine other IR systems, it is concluded that the results of the system are better than the other IR systems. In addition, the paper shows that the complexity of the system is less that the complexity of the other CIR systems.

This system asks the users to explicitly rank the returned documents, while explicit ranking is still not widespread enough. However it believes that the users should actively participate in the IR process in order to aptly satisfy their needs to information.

The value of this paper lies in combining collaborative and personalized IR, as well as introducing a mechanism which enables the personalized IR system to be evaluated. The proposed evaluation mechanism is very valuable for developers of personalized IR systems. The paper also introduces some significant user profile similarity calculation formulas, and two techniques to evaluate them. These formulas can also be used to find the user's community in the social networks.

Current segmentation systems almost invariably focus on linear segmentation and can only divide text into linear sequences of segments. This suits cohesive text such as news feed but not coherent texts such as documents of a digital library which have hierarchical structures. To overcome the focus on linear segmentation in document segmentation and to realize the purpose of hierarchical segmentation for a digital library’s structured resources, this paper aimed to propose a new multi-granularity hierarchical topic-based segmentation system (MHTSS) to decide section breaks.

MHTSS adopts up-down segmentation strategy to divide a structured, digital library document into a document segmentation tree. Specifically, it works in a three-stage process, such as document parsing, coarse segmentation based on document access structures and fine-grained segmentation based on lexical cohesion.

This paper analyzed limitations of document segmentation methods for the structured, digital library resources. Authors found that the combination of document access structures and lexical cohesion techniques should complement each other and allow for a better segmentation of structured, digital library resources. Based on this finding, this paper proposed the MHTSS for the structured, digital library resources. To evaluate it, MHTSS was compared to the TT and C99 algorithms on real-world digital library corpora. Through comparison, it was found that the MHTSS achieves top overall performance.

With MHTSS, digital library users can get their relevant information directly in segments instead of receiving the whole document. This will improve retrieval performance as well as dramatically reduce information overload.

This paper proposed MHTSS for the structured, digital library resources, which combines the document access structures and lexical cohesion techniques to decide section breaks. With this system, end-users can access a document by sections through a document structure tree.

This paper makes a case for the investigation of organizational paradoxes through the analysis of documents. After having presented what paradoxes are and the methodological challenges of studying them, the paper turns to document research, with emphasis on its potential contribution to paradox research. More specifically, document research typically provides ready-to-code data in a nonintrusive manner, allowing for the potential longitudinal, multilevel and multivoice analysis of organizational paradoxes and their management, in practice. To illustrate this, the purpose of this paper is to explore exemplar research based on multiple approaches to the study of different paradoxes in/around various documents and sets a research agenda.

Exemplar research on paradoxes using organizational documents as central data are presented. This highlights the range of documents and analytical strategies that can be used to explore organizations’ discursive management of paradoxes, as well as the roles documents can play in organizational contexts marked by different types of paradoxes.

A research agenda is developed, formulated around the needs to study paradoxes within documents and around them; grasp the discursive strategies deployed in documents to deal with paradoxes and/or the action of documents in contexts marked by paradoxes; follow the organizational processes involving documents, paying special attention to the paradoxes surrounding the development, adoption and appropriation of documents; and compare paradoxes in documents and those around the documents’ mobilization.

Despite growing interest in organizational paradoxes, reflections on methodological approaches to exploring them remain scarce and alternative methods largely unexplored. This paper makes the following proposition: organizational documents (strategic plans, annual reports, policies, websites, etc.) can provide a valuable entry point to explore organizational paradoxes.

The purpose of this paper is to argue that information is an important effect of documentation. It is in this way that documentation studies distinguishes between concepts of and practices with “information” and “document”: that is, documentation studies helps illuminate how information is created, stabilized, and materialized such that it can emerge and, in turn, how it can then be controlled, deployed, enforced, entrenched, managed, and used in many different ways, in various settings, and for diverse purposes.

This paper presents a conceptual framework on documentation, drawing upon the work of Bernd Frohmann, Michel Foucault, Bruno Latour, Hannah Arendt, @@and Ian Hacking, and applied to a case study of Apartheid South Africa.

Apartheid’s documentation helped achieve apartness at the macro and micro levels of society: on the macro level, the creation and subsequent separation of different racial and ethnic identities were drafted, adopted, and turned into law through legislative documents; on the micro level, these identities were reinforced through routines with personal documents and public signs. This documentation functioned as a documentary apparatus, providing a tangible link between individuals and their official racial and ethnic categories by creating a seamless movement of documents through various institutions; further it helped transform these racial and ethnic identities into lived facts that disciplined and controlled life.

By examining documentation, one can present a fresh and unique perspective to understanding the construction of various things, such as the construction of identities. This conceptual framework contributes to Library and Information Science (LIS) by illuminating the central role of documentation in the creation, stabilization, materialization, and emergence of information. By using Apartheid South Africa as a case study, this paper demonstrates how this framework can be applied to shed new light on different kinds of phenomena in diverse contexts; consequently, it not only contributes to and extends parts of the scholarship on documentation studies within LIS, but also presents new directions for other academic disciplines and multidisciplinary analyses and research.

With an increase in the amount of multilingual content on the World Wide Web, users are often striving to access information provided in a language of which they are non-native speakers. The purpose of this paper is to present a comprehensive study of user profile representation techniques and investigate their use in personalized cross-language information retrieval (CLIR) systems through the means of personalized query expansion.

The user profiles consist of weighted terms computed by using frequency-based methods such as tf-idf and BM25, as well as various latent semantic models trained on monolingual documents and cross-lingual comparable documents. This paper also proposes an automatic evaluation method for comparing various user profile generation techniques and query expansion methods.

Experimental results suggest that latent semantic-weighted user profile representation techniques are superior to frequency-based methods, and are particularly suitable for users with a sufficient amount of historical data. The study also confirmed that user profiles represented by latent semantic models trained on a cross-lingual level gained better performance than the models trained on a monolingual level.

Previous studies on personalized information retrieval systems have primarily investigated user profiles and personalization strategies on a monolingual level. The effect of utilizing such monolingual profiles for personalized CLIR remains unclear. The current study fills the gap by a comprehensive study of user profile representation for personalized CLIR and a novel personalized CLIR evaluation methodology to ensure repeatable and controlled experiments can be conducted.