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Article
Publication date: 20 November 2017

Petr Hajek and Jan Stejskal

The behaviour of a library user is based on his ability to evaluate the consumption of library services based on alternative market services. The purpose of this paper is to study…

686

Abstract

Purpose

The behaviour of a library user is based on his ability to evaluate the consumption of library services based on alternative market services. The purpose of this paper is to study the usage behaviour in a public library building in the context of alternative costs instead of a narrow focus on book circulation data.

Design/methodology/approach

By library usage mining, using associative rules, the authors described the behaviour of library users and identified the typical behaviour during the visits. The authors analyse the results in the context of alternative costs assigned to the visits.

Findings

The results confirm that some underused services, such as digital services, deliver significantly greater benefit. The frequency of use, the duration of visit and the number of items used are associated with higher alternative costs. There were no significant differences in alternative cost within economic groups (excluding pensioners). This paper identified 41 frequent patterns with different alternative costs.

Research limitations/implications

The limitation of this study is the fact that data for library usage mining were collected using a questionnaire survey.

Practical implications

This may be particularly important for both policy makers and library management. The first beneficiaries are donors and patrons, who can learn about the benefit that libraries bring to society. The proposed system for library usage mining also enables managers to promote specific (effective) services, take steps to avoid readers leaving, and improve the adoption of library services. It can also be used to adapt the location of library services. Librarians, especially those who engage in acquisitions, may also use this information in their evidence-based decisions about the design of services.

Originality/value

So far, there has been no relevant research on the economic aspects of extracted behaviour patterns. Therefore, this study revealed users’ economic preferences using a questionnaire survey that supplemented transaction data. The ability to describe users’ behaviour can provide library management with enough information to realise evidence-based decision making.

Details

Library Hi Tech, vol. 35 no. 4
Type: Research Article
ISSN: 0737-8831

Keywords

Available. Open Access. Open Access
Article
Publication date: 5 July 2021

Jan Stejskal, Petr Hajek and Viktor Prokop

The study aims to analyse library user preferences in the willingness to read and pay for e-books, using a sample of both active readers (users of public library services) and…

2703

Abstract

Purpose

The study aims to analyse library user preferences in the willingness to read and pay for e-books, using a sample of both active readers (users of public library services) and non-users (the general population).

Design/methodology/approach

Two empirical surveys were conducted from August to November of 2019; the research sample consisted of 1,334 users from the Municipal Library of Prague and 1,101 non-users from the general Czech population. The research was focussed on e-book user preferences. The willingness to pay (WTP) for e-book services and the determinants that affect this willingness were also examined.

Findings

The results show the specific approach of Czech readers, whose main determinant of WTP is not the content, but the price and method of its payment (allocation). Some people prefer a cheaper annual lump sum, whereas others may prefer a charge of small regular fees. The decision to pay depends on their reading or payment habits.

Originality/value

This study also aims to clarify the demand for various types of digital media in Czech libraries and the preferred distribution models. Furthermore, the study determines the dependence of the preferences of library users in their WTP for e-books using different evaluation models. The originality of this study is in the evaluation of the determinants of WTP for e-books, which makes this study unique, and the findings should contribute to the expansion of existing knowledge in the field of information science.

Details

The Electronic Library , vol. 39 no. 4
Type: Research Article
ISSN: 0264-0473

Keywords

Available. Content available
Article
Publication date: 25 May 2012

407

Abstract

Details

Smart and Sustainable Built Environment, vol. 1 no. 1
Type: Research Article
ISSN: 2046-6099

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Article
Publication date: 17 October 2023

Adhi Alfian, Hamzah Ritchi and Zaldy Adrianto

Increased fraudulent practices have heightened the need for innovation in anti-fraud programs, necessitating the development of analytics techniques for detecting and preventing…

498

Abstract

Purpose

Increased fraudulent practices have heightened the need for innovation in anti-fraud programs, necessitating the development of analytics techniques for detecting and preventing fraud. The subject of fraud analytics will continue to expand in the future for public-sector organizations; therefore, this research examined the progress of fraud analytics in public-sector transactions and offers suggestions for its future development.

Design/methodology/approach

This study systematically reviewed research on fraud analytics development in public-sector transactions. The review was conducted from June 2021 to June 2023 by identifying research objectives and questions, performing literature quality assessment and extraction, data synthesis and research reporting. The research mainly identified 43 relevant articles that were used as references.

Findings

This research examined fraud analytics development related to public-sector financial transactions. The results revealed that fraud analytics expansion has not spread equally, as most programs have been implemented by governments and healthcare organizations in developed countries. This research also exposed that the analytics optimization in fraud prevention is higher than for fraud detection. Such analytics help organizations detect fraud, improve business effectiveness and efficiency, and refine administrative systems and work standards.

Research limitations/implications

This research offers comprehensive insights for researchers and public-sector professionals regarding current fraud analytics development in public-sector financial transactions and future trends.

Originality/value

This study presents the first systematic literature review to investigate the development of fraud analytics in public-sector transactions. The findings can aid scholars' and practitioners' future fraud analytics development.

Details

Journal of Public Budgeting, Accounting & Financial Management, vol. 35 no. 5
Type: Research Article
ISSN: 1096-3367

Keywords

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Book part
Publication date: 15 May 2023

Birol Yıldız and Şafak Ağdeniz

Purpose: The main aim of the study is to provide a tool for non-financial information in decision-making. We analysed the non-financial data in the annual reports in order to show…

Abstract

Purpose: The main aim of the study is to provide a tool for non-financial information in decision-making. We analysed the non-financial data in the annual reports in order to show the usage of this information in financial decision processes.

Need for the Study: Main financial reports such as balance sheets and income statements can be analysed by statistical methods. However, an expanded financial reporting framework needs new analysing methods due to unstructured and big data. The study offers a solution to the analysis problem that comes with non-financial reporting, which is an essential communication tool in corporate reporting.

Methodology: Text mining analysis of annual reports is conducted using software named R. To simplify the problem, we try to predict the companies’ corporate governance qualifications using text mining. K Nearest Neighbor, Naive Bayes and Decision Tree machine learning algorithms were used.

Findings: Our analysis illustrates that K Nearest Neighbor has classified the highest number of correct classifications by 85%, compared to 50% for the random walk. The empirical evidence suggests that text mining can be used by all stakeholders as a financial analysis method.

Practical Implications: Combining financial statement analyses with financial reporting analyses will decrease the information asymmetry between the company and stakeholders. So stakeholders can make more accurate decisions. Analysis of non-financial data with text mining will provide a decisive competitive advantage, especially for investors to make the right decisions. This method will lead to allocating scarce resources more effectively. Another contribution of the study is that stakeholders can predict the corporate governance qualification of the company from the annual reports even if it does not include in the Corporate Governance Index (CGI).

Details

Contemporary Studies of Risks in Emerging Technology, Part B
Type: Book
ISBN: 978-1-80455-567-5

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