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Web‐snippet clustering has recently attracted a lot of attention as a means to provide users with a succinct overview of relevant results compared with traditional search results. This paper seeks to research the building of a web‐snippet clustering system, based on a mixed clustering method.

This paper proposes a mixed clustering method to organise all returned snippets into a hierarchical tree. The method accomplishes two main tasks: one is to construct the cluster labels and the other is to build a hierarchical tree.

Five measures were used to measure the quality of clustering results. Based on the results of the experiments, it was concluded that the performance of the system is better than current commercial and academic systems.

A high performance system is presented, based on the clustering method. A divisive hierarchical clustering algorithm is also developed to organise all returned snippets into a hierarchical tree.

The Accounting Information Systems (AIS) research field emerged around 30 years ago as a subfield of accounting but is at risk to develop further as an isolated discipline. However, given the importance of digitalization and its relevance for accounting, an amalgamation of the parent research field of accounting and the subfield of accounting information systems is pivotal for continuing relevant research that is of high quality. This study empirically investigates the distance between AIS research that is included in accounting literature and AIS research that prevails in dedicated AIS research outlets.

To understand which topics define AIS research, all articles published in the two leading AIS journals since 2000 were analyzed. Based on this topical inventory, all AIS studies that were published in the top 16 accounting journals, also since 2000, are identified and categorized in terms of topic, subtopic and research methodology. Next, AIS studies published in the general accounting field and AIS studies published in the AIS field were compared in terms of topics and research methodology to gain insights into the distance between the two fields.

The coverage of AIS topics in accounting journals is, to no small extent, concentrated around the topics “information disclosure”, “network technologies” and “audit and control”. Other AIS topics remain underrepresented. A possible explanation might be the focus on archival studies in accounting outlets, but other elements might play a role. The findings suggest that there is only a partial overlap between the parent accounting research field and the AIS subfield, in terms of both topic and research methodology diversity. These findings suggest a considerable distance between both fields, which might hold detrimental consequences in the long run, if no corrective actions are taken.

This is the first in-depth investigation of the distance between the AIS research field and its parent field of accounting. This study helped develop an AIS classification scheme, which can be used in other research endeavors. This study creates awareness of the divergence between the general accounting research field and the AIS subfield. Given the latter's relevance to the accounting profession, isolation or deterioration of the AIS research must be avoided. Some actionable suggestions are provided in the paper.

This study aims to explore the psychological effects of lockdown during the early stages of the COVID-19 pandemic on people living in an Italian prison. The suspension of family visits and most activities, along with the difficulties in applying social distancing to this vulnerable population was associated with increased psychological distress. Riots broke out over two days in more than 22 prisons across Italy at the beginning of March 2020, highlighting the negative psychological impact of the pandemic and the country’s emergency policies.

The research involves 17 men (Italians and foreigners) detained in a Lombardy prison from 1 March to 4 May 2020, corresponding to the lockdown phase in Italy. The qualitative content analysis (CA) of 27 posts, written by participants during that period and published on the blog “L’Oblò”, were analysed. The analysis allowed the identification of topics and subtopics that are related to two major categories of content: cognitions and emotional connotations about the COVID-19 lockdown in prison.

Analysis showed that blog post content was predominately negative in terms of emotional connotations. The most frequent coded negative emotional connotations were: missing, worry, psychological pain and fear, whilst the most frequent coded positive emotional connotations were: hope and gratitude for the support they received from prison workers. The rest of the blog content was coded as “cognitions”. Cognitions were coded as descriptions of lockdown effect on detention; prison during the COVID-19 emergency; the pandemic situation in general; and comparison between inside and outside prison.

The current study is original as it describes through blog CA the psychological condition of prisoners during the first COVID-19 pandemic lockdown in the most affected region in Italy.

A good outline processor can serve creativity and help to clarify thinking. The malleability of the screen and computer memory make it easy to add new ideas, try different organizations, and view a project or document at any appropriate level. Outline processors can help bridge the gap between spontaneous ideas and organized results. In his tenth Common Sense Computing article, the author discusses the ways that outline processors are used, what they do, and what features to look for.

The purpose of this paper is to examine publication patterns of scholarly literature related to academic libraries and development (i.e. funding), including publication trends over a five-year period, core journals and authorship, so that library directors and library development officers will have a basic collection of relevant resources.

The methodology consisted of journal article searches in three databases relating to the field of library information science with 2006-2010 as the date limiter. The primary search terms came from the topic of this study and were joined to secondary-level search terms by using the Boolean operator: AND. Secondary-level keywords originated from the literature review and the search process. Results were stored in an Excel file based on pre-determined categories and were evaluated based on the research questions.

There were 106 articles published on the topic of academic libraries and development authored by 164 individuals, pairs, groups or associations during the five-year period of 2006-2010. In 2010, the greatest number of articles (35) was published on the topic, but in 2008, the least number (14) was published.

This study takes the bibliometric analysis approach, which has rarely been used on the topic of academic libraries and development work with the specific focus on library funding. It provides a foundation for further research on the topic, as well as resources to be used by library practitioners.

This paper aims to review key content, architecture, and metadata model decisions and strategies in creation of a publication portal (on DVD to start), based on a 30+ year series of flagship reports from the World Bank.

The paper describes and analyzes key considerations and aspects of the project, including content architecture, content analysis, DTD selection, retrospective conversion, vendor management, design of metadata architectures, use of automated profiling methods, user‐information behavior, and search architectures supporting complex content architectures. It includes the challenges of applying an institutionally based taxonomy required to express subject‐matter responsibilities and relationships within the World Bank.

The team learned that the metadata behavior and architecture (inheritance, relationships, variations) are more complex than simple links between parent and child objects. The project also reinforced the importance of comprehensive and dynamic topic taxonomy for classifying content that is both historical and current. The approach to defining classes for each full report (parent) will be likely to change, given what has been learned. The team would recommend that parts be classified and the sum of the part classes be assigned to the whole report. As a result of this exploratory work, the Bank's approach to classification and indexing of report series is changing from a top‐down to a bottom‐up inheritance.

The study provides insights into both general and World Bank‐specific challenges in creating a publication portal and derives some best practices for content architecture, metadata architecture, and use of automated profiling methods.

The purpose of the present paper is to gain a first insight into the determinants of employee acceptance of, and participation in, workplace health promotion (WHP) in the German speaking part of Europe with a focus on Austria.

Being a neglected field of research so far, a qualitative approach using problem‐centred interviews was chosen. These were conducted with 19 employees in three different organizations, the four people there responsible for WHP as well as with nine health experts. These interviews form the basis for preliminary propositions.

Determinants of employee acceptance of, and participation in, WHP are shown to concern information plus offer design. As for information, crucial factors are its flow, how it is presented and how it is received by the individual. Criteria regarding offer design are found on the individual and interpersonal level as well as referring to general environmental and organizational conditions.

Further research on a broad quantitative level is required to test the propositions developed on the basis of the present qualitative study.

With their implications regarding information and offer design, the findings of the study can serve as a guideline for employee‐centred WHP and are of interest to practitioners as well as academics in the field.

Giving first insights into the employees' perspective regarding determinants of acceptance of, and participation in, WHP, this paper offers valuable suggestions for a target‐group oriented design of WHP.

The purpose of this paper is to contribute to a very difficult, yet all important and ongoing research question – how do we best use online collaborative learning modalities (CLM) to supplement conversations in multicultural education courses?

This qualitative study examined emergent themes in asynchronous threaded discussions created by 23 students within a Master's level multicultural education course at a large land‐grant university in the USA.

Engagement in threaded discussions fostered student understanding of a systems perspective of social realities. Power, privilege, and oppression related to race, gender, and economics in the USA were explored through student use of real world, concrete examples – something that does not always occur in face‐to‐face classroom encounters constrained by time and the pacing of curriculum.

Researchers would like to see more empirical research in using technologically mediated, CLM to foster conversations surrounding power, oppression, and privilege in efforts to advance the pedagogies of critical multicultural education.

Using threaded discussions seems to be a promising practice in teaching critical multicultural education content.

This research project provides understanding of how CLM can help establish systems perspectives – perspectives critical to multicultural education.

This paper advances the conversation related to promising practices in multicultural education. Scarce empirical research exists related to critical approaches to multicultural education online.

The emergence of machine learning has opened a new way for researchers. It allows them to supplement the traditional manual methods for conducting a literature review and turning it into smart literature. This study aims to present a framework for incorporating machine learning into financial statement fraud (FSF) literature analysis. This framework facilitates the analysis of a large amount of literature to show the trend of the field and identify the most productive authors, journals and potential areas for future research.

In this study, a framework was introduced that merges bibliometric analysis techniques such as word frequency, co-word analysis and coauthorship analysis with the Latent Dirichlet Allocation topic modeling approach. This framework was used to uncover subtopics from 20 years of financial fraud research articles. Furthermore, the hierarchical clustering method was used on selected subtopics to demonstrate the primary contexts in the literature on FSF.

This study has contributed to the literature in two ways. First, this study has determined the top journals, articles, countries and keywords based on various bibliometric metrics. Second, using topic modeling and then hierarchy clustering, this study demonstrates the four primary contexts in FSF detection.

In this study, the authors tried to comprehensively view the studies related to financial fraud conducted over two decades. However, this research has limitations that can be an opportunity for future researchers. The first limitation is due to language bias. This study has focused on English language articles, so it is suggested that other researchers consider other languages as well. The second limitation is caused by citation bias. In this study, the authors tried to show the top articles based on the citation criteria. However, judging based on citation alone can be misleading. Therefore, this study suggests that the researchers consider other measures to check the citation quality and assess the studies’ precision by applying meta-analysis.

Despite the popularity of bibliometric analysis and topic modeling, there have been limited efforts to use machine learning for literature review. This novel approach of using hierarchical clustering on topic modeling results enable us to uncover four primary contexts. Furthermore, this method allowed us to show the keywords of each context and highlight significant articles within each context.

The purpose of this paper is to indicate the current state of studies on Islamic finance and management through a bibliometric analysis of the only social science citation index (SSCI)-indexed journal in this field.

The paper uses a bibliometric analysis, collecting data from the 319 papers published in the International Journal of Islamic and Middle Eastern Finance and Management (IMEFM) from 2008 to 2019. Moreover, VOSviewer software has been used to illustrate the citation analysis (including most cited papers, most cited authors and authors’ affiliated institutions and countries) and the keyword map.

The number of papers published in each issue of the IMEFM is found to have significantly increased owing to its unique situation being the only SSCI-indexed journal in this domain. The share of the empirical researches in total papers published annually has steadily risen, reaching 95% in 2019. In terms of case countries, although Malaysia is the most examined country in the papers, other countries such as Indonesia and Turkey are found to have been used as a case country by researchers recently. Islamic banking-related papers are the most prevalent studies, as expected, with mainly their performance being examined. Meanwhile, the number of papers about Islamic social financial institutions has notably grown in recent years. Finally, technology-based initiatives such as crowdfunding and cryptocurrencies are noted to have not yet been the subject of any paper.

The main contribution of this study is its analysis of the only SSCI-indexed journal on Islamic finance and management using bibliometrics. Also, all the papers published in the journal have been reviewed in terms of methodology, case country/country groups and topics/subtopics to lead the way for future research.