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Article
Publication date: 31 May 2019

Dirk Lewandowski and Sebastian Sünkler

The purpose of this paper is to describe a new method to improve the analysis of search engine results by considering the provider level as well as the domain level. This…

Abstract

Purpose

The purpose of this paper is to describe a new method to improve the analysis of search engine results by considering the provider level as well as the domain level. This approach is tested by conducting a study using queries on the topic of insurance comparisons.

Design/methodology/approach

The authors conducted an empirical study that analyses the results of search queries aimed at comparing insurance companies. The authors used a self-developed software system that automatically queries commercial search engines and automatically extracts the content of the returned result pages for further data analysis. The data analysis was carried out using the KNIME Analytics Platform.

Findings

Google’s top search results are served by only a few providers that frequently appear in these results. The authors show that some providers operate several domains on the same topic and that these domains appear for the same queries in the result lists.

Research limitations/implications

The authors demonstrate the feasibility of this approach and draw conclusions for further investigations from the empirical study. However, the study is a limited use case based on a limited number of search queries.

Originality/value

The proposed method allows large-scale analysis of the composition of the top results from commercial search engines. It allows using valid empirical data to determine what users actually see on the search engine result pages.

Details

Aslib Journal of Information Management, vol. 71 no. 3
Type: Research Article
ISSN: 2050-3806

Keywords

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Book part
Publication date: 30 November 2006

Tefko Saracevic

In vol. 6, 1976, of Advances in Librarianship, I published a review about relevance under the same title, without, of course, “Part I” in the title (Saracevic, 1976). [A…

Abstract

In vol. 6, 1976, of Advances in Librarianship, I published a review about relevance under the same title, without, of course, “Part I” in the title (Saracevic, 1976). [A substantively similar article was published in the Journal of the American Society for Information Science (Saracevic, 1975)]. I did not plan then to have another related review 30 years later—but things happen. The 1976 work “attempted to trace the evolution of thinking on relevance, a key notion in information science, [and] to provide a framework within which the widely dissonant ideas on relevance might be interpreted and related to one another” (ibid.: 338).

Details

Advances in Librarianship
Type: Book
ISBN: 978-1-84950-007-4

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Article
Publication date: 1 April 2003

Brian Quinn

Successful online searching is more than simply a matter of mastering search technique. Emotions, attitudes and environmental factors like stress also play a crucial role…

Abstract

Successful online searching is more than simply a matter of mastering search technique. Emotions, attitudes and environmental factors like stress also play a crucial role in determining whether an online search will be successful or not. Focuses on the important relationship between emotion and cognition, how they affect each other, and what the implications are for online searchers. Investigates how affect and mood influence key cognitive functions and can pose psychological hurdles related to motivation, arousal, attention, concentration, self‐confidence, and self‐efficacy, all of which can be significant factors in determining the effectiveness of a search. Viewing searching behavior as a form of mental and physical performance similar to that of an athlete or performing artist, draws on the growing body of psychological research on performance which suggests that having the proper mindset can make an important difference in whether a searcher is successful.

Details

The Electronic Library, vol. 21 no. 2
Type: Research Article
ISSN: 0264-0473

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Article
Publication date: 25 February 2014

Yen-Ning Su, Chia-Cheng Hsu, Hsin-Chin Chen, Kuo-Kuang Huang and Yueh-Min Huang

This study aims to use sensing technology to observe the learning status of learners in a teaching and learning environment. In a general instruction environment, teachers…

Abstract

Purpose

This study aims to use sensing technology to observe the learning status of learners in a teaching and learning environment. In a general instruction environment, teachers often encounter some teaching problems. These are frequently related to the fact that the teacher cannot clearly know the learning status of students, such as their degree of learning concentration and capacity to absorb knowledge. In order to deal with this situation, this study uses a learning concentration detection system (LCDS), combining sensor technology and an artificial intelligence method, to better understand the learning concentration of students in a learning environment.

Design/methodology/approach

The proposed system uses sensing technology to collect information about the learning behavior of the students, analyzes their concentration levels, and applies an artificial intelligence method to combine this information for use by the teacher. This system includes a pressure detection sensor and facial detection sensor to detect facial expressions, eye activities and body movements. The system utilizes an artificial bee colony (ABC) algorithm to optimize the system performance to help teachers immediately understand the degree of concentration and learning status of their students. Based on this, instructors can give appropriate guidance to several unfocused students at the same time.

Findings

The fitness value and computation time were used to evaluate the LCDS. Comparing the results of the proposed ABC algorithm with those from the random search method, the algorithm was found to obtain better solutions. The experimental results demonstrate that the ABC algorithm can quickly obtain near optimal solutions within a reasonable time.

Originality/value

A learning concentration detection method of integrating context-aware technologies and an ABC algorithm is presented in this paper. Using this learning concentration detection method, teachers can keep abreast of their students' learning status in a teaching environment and thus provide more appropriate instruction.

Details

Engineering Computations, vol. 31 no. 2
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 18 June 2019

Hyunsuk Im, Haeyeop Song and Jaemin Jung

The purpose of this paper is to articulate whether consumers’ use of music via streaming service benefits niche products and diversified consumption of music. It examines…

Abstract

Purpose

The purpose of this paper is to articulate whether consumers’ use of music via streaming service benefits niche products and diversified consumption of music. It examines does winner take all or is long tail achieved in the digital music market.

Design/methodology/approach

To investigate the degree of concentration in the digital music sales, this study measures multiple concentration metrics using the top 100 songs for 245 weeks listed on the Korean music ranking chart.

Findings

Conflicting results are found between the analyses based on short-run and long-run data. When sales distributions are compared weekly or monthly, the results show that streaming services have a less concentrated sales distribution than download services. However, the result becomes the opposite in the long-run analysis (i.e. one year).

Originality/value

This study proposes that the non-technological drivers such as the beneficial addiction of music consumption can be a crucial driver affecting the usage concentration in music industry, coupled with the royalty policy of access-based services.

Details

Information Technology & People, vol. 33 no. 1
Type: Research Article
ISSN: 0959-3845

Keywords

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Book part
Publication date: 29 August 2018

Paul A. Pautler

The Bureau of Economics in the Federal Trade Commission has a three-part role in the Agency and the strength of its functions changed over time depending on the…

Abstract

The Bureau of Economics in the Federal Trade Commission has a three-part role in the Agency and the strength of its functions changed over time depending on the preferences and ideology of the FTC’s leaders, developments in the field of economics, and the tenor of the times. The over-riding current role is to provide well considered, unbiased economic advice regarding antitrust and consumer protection law enforcement cases to the legal staff and the Commission. The second role, which long ago was primary, is to provide reports on investigations of various industries to the public and public officials. This role was more recently called research or “policy R&D”. A third role is to advocate for competition and markets both domestically and internationally. As a practical matter, the provision of economic advice to the FTC and to the legal staff has required that the economists wear “two hats,” helping the legal staff investigate cases and provide evidence to support law enforcement cases while also providing advice to the legal bureaus and to the Commission on which cases to pursue (thus providing “a second set of eyes” to evaluate cases). There is sometimes a tension in those functions because building a case is not the same as evaluating a case. Economists and the Bureau of Economics have provided such services to the FTC for over 100 years proving that a sub-organization can survive while playing roles that sometimes conflict. Such a life is not, however, always easy or fun.

Details

Healthcare Antitrust, Settlements, and the Federal Trade Commission
Type: Book
ISBN: 978-1-78756-599-9

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Book part
Publication date: 19 October 2020

Heng Chen and Matthew Strathearn

This research aims to empirically analyze the spatial bank branch network in Canada. The authors study the market structure (both industrial and geographic concentrations

Abstract

This research aims to empirically analyze the spatial bank branch network in Canada. The authors study the market structure (both industrial and geographic concentrations) via its own or adjacent postal areas. The empirical framework of this study considers branch density (the ratio of the total number of branches to area size) by employing a spatial two-way fixed effects model. The main finding of this study is that there are no effects associated with market structure, however, there are strong spatial within and nearby effects associated with the socioeconomic variables. In addition, the authors also study the effect of spatial competition from rival banks: they find that large banks and small banks tend to avoid markets dominated by their competitors.

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Article
Publication date: 1 March 1985

Tomas Riha

Nobody concerned with political economy can neglect the history of economic doctrines. Structural changes in the economy and society influence economic thinking and…

Abstract

Nobody concerned with political economy can neglect the history of economic doctrines. Structural changes in the economy and society influence economic thinking and, conversely, innovative thought structures and attitudes have almost always forced economic institutions and modes of behaviour to adjust. We learn from the history of economic doctrines how a particular theory emerged and whether, and in which environment, it could take root. We can see how a school evolves out of a common methodological perception and similar techniques of analysis, and how it has to establish itself. The interaction between unresolved problems on the one hand, and the search for better solutions or explanations on the other, leads to a change in paradigma and to the formation of new lines of reasoning. As long as the real world is subject to progress and change scientific search for explanation must out of necessity continue.

Details

International Journal of Social Economics, vol. 12 no. 3/4/5
Type: Research Article
ISSN: 0306-8293

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Article
Publication date: 13 November 2009

Haiyan Jiang and Ahsan Habib

The purpose of this paper is to investigate the impact of different categories of ownership concentration on corporate voluntary disclosure practices in New Zealand.

Abstract

Purpose

The purpose of this paper is to investigate the impact of different categories of ownership concentration on corporate voluntary disclosure practices in New Zealand.

Design/methodology/approach

The study applies panel data regression analysis to a sample of New Zealand listed companies from 2001 to 2005. Two‐stage least squares analysis (2SLS) is conducted. Ownership concentration is categorised into four mutually exclusive ownership structures.

Findings

The paper finds that firm‐year observations characterised by financial institution‐controlled ownership structure tends to make significantly fewer (more) disclosures at high (low) concentration levels supporting expropriation. In contrast, firm‐year observations in the high (low) concentration group with government‐ and management‐controlled ownership structures exhibit considerably higher (lower) voluntary disclosure scores, suggesting a positive monitoring effect at high ownership concentration level.

Research limitations/implications

The results provide evidence for the proposition that the efficiency of large block holders' monitoring varies with the level of ownership concentration.

Practical implications

To promote transparency in capital markets, regulators can encourage or discourage certain types of large shareholding, while monitoring the level of ownership concentration by means of regulation. Investors, especially less sophisticated retail investors, will benefit from the findings that different ownership groups affect disclosure policies differently.

Originality/value

The findings strengthen the importance of differentiating ownership structures into various classes to infer the real impact of differential controlling properties on managerial disclosure decisions. Furthermore, the results reveal that the relationship between ownership concentration and voluntary disclosure practices has a non‐linear pattern.

Details

Accounting Research Journal, vol. 22 no. 3
Type: Research Article
ISSN: 1030-9616

Keywords

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Book part
Publication date: 20 June 2017

David Shinar

Abstract

Details

Traffic Safety and Human Behavior
Type: Book
ISBN: 978-1-78635-222-4

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