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Article
Publication date: 24 January 2023

Hossein Motahari-Nezhad

No study has investigated the effects of different parameters on publication bias in meta-analyses using a machine learning approach. Therefore, this study aims to…

Abstract

Purpose

No study has investigated the effects of different parameters on publication bias in meta-analyses using a machine learning approach. Therefore, this study aims to evaluate the impact of various factors on publication bias in meta-analyses.

Design/methodology/approach

An electronic questionnaire was created according to some factors extracted from the Cochrane Handbook and AMSTAR-2 tool to identify factors affecting publication bias. Twelve experts were consulted to determine their opinion on the importance of each factor. Each component was evaluated based on its content validity ratio (CVR). In total, 616 meta-analyses comprising 1893 outcomes from PubMed that assessed the presence of publication bias in their reported outcomes were randomly selected to extract their data. The multilayer perceptron (MLP) technique was used in IBM SPSS Modeler 18.0 to construct a prediction model. 70, 15 and 15% of the data were used for the model's training, testing and validation partitions.

Findings

There was a publication bias in 968 (51.14%) outcomes. The established model had an accuracy rate of 86.1%, and all pre-selected nine variables were included in the model. The results showed that the number of databases searched was the most important predictive variable (0.26), followed by the number of searches in the grey literature (0.24), search in Medline (0.17) and advanced search with numerous operators (0.13).

Practical implications

The results of this study can help clinical researchers minimize publication bias in their studies, leading to improved evidence-based medicine.

Originality/value

To the best of the author’s knowledge, this is the first study to model publication bias using machine learning.

Details

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

Keywords

Article
Publication date: 8 February 2022

Fayaz Ahmad Loan, Umer Yousuf Parray and Aasif Mohammad Khan

The purpose of the study is to examine how far search engines have succeeded in retrieving electronic theses and dissertations (ETDs) using different search techniques and…

163

Abstract

Purpose

The purpose of the study is to examine how far search engines have succeeded in retrieving electronic theses and dissertations (ETDs) using different search techniques and approaches. This study also compared the search results of search engines to identify the most suitable search engine for searching and retrieving the ETDs.

Design/methodology/approach

Fifty ETDs have been selected using systematic random sampling techniques from Shodhganga (a reservoir of Indian theses). These ETDs have been searched through prominent search engines such as Google, Google Scholar, Yahoo and Open Access Theses and Dissertation (OATD) using different search approaches and techniques.

Findings

The overall performance of the search engines revealed that Google retrieved most of the ETDs (89%) followed by OATD (88.5%), Yahoo (78%) and Google Scholar (76%), respectively.

Originality/value

The results have brought into light interesting findings regarding search engines in retrieving grey literature.

Details

Library Hi Tech News, vol. 39 no. 2
Type: Research Article
ISSN: 0741-9058

Keywords

Article
Publication date: 2 January 2023

Theja Kuruppu Arachchi, Laurianne Sitbon, Jinglan Zhang, Stewart Koplick, Maria Hoogstrate and Margot Brereton

This study explored the current and desired use of web-search, particularly for health information, by adults with intellectual disability.

Abstract

Purpose

This study explored the current and desired use of web-search, particularly for health information, by adults with intellectual disability.

Design/methodology/approach

The authors surveyed 39 participants who were in supported employment or attending day centers in Australia. The survey, delivered through structured interviews, increased participation with data in a form of the participants' narratives. The responses were analyzed through a form of thematic analysis.

Findings

This study's results present the participants' daily health information interests, approaches to finding information and expectations for self-sufficiency. Participants' interest was in information to stay healthy rather than purely clinical information. The participants were keen to use online information in, accessible as well as entertaining and engaging formats. Supporting others close to the participants was the prominent intention of participants' health information access. Participants showed aspirations for an autonomous life by wanting to learn how to search.

Research limitations/implications

The findings of this study provide some avenues for consumer health information access to be respectful and inclusive of users with intellectual disability, both from an accessible design perspective as well as from a learning and support standpoint.

Originality/value

This study complements other human–computer interaction (HCI) studies which observe how adults with intellectual disability can be supported to engage with web search; this study offers the adults' verbalized perspectives on how adults wish to interact with web searching for health information, nuanced by adults' existing abilities and support needs.

Details

Online Information Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1468-4527

Keywords

Article
Publication date: 2 January 2023

Le-Vinh-Lam Doan and Alasdair Rae

With access to the large-scale search data from Rightmove plc, the paper firstly indicated the possibility of using user-generated data from online property portals to…

Abstract

Purpose

With access to the large-scale search data from Rightmove plc, the paper firstly indicated the possibility of using user-generated data from online property portals to predict housing market activities and secondly embraced a GIS approach to explore what people search for housing and what they chose and investigated the issue of mismatch between search patterns and revealed patterns. Based on the analysis, the paper contributes a visual GIS-based approach which may help planners and designers to make more informed decisions related to new housing supply, particularly where to build, what to build and how many to build.

Design/methodology/approach

The paper used the 2013 housing search data from Rightmove and the 2013 price data from Land Registry with transactions made after the search period and embraced a GIS approach to explore the potential housing demand patterns and the mismatch between searches and sales. In the analysis, the paper employed the K-means approach to group prices into five levels and used GIS software to draw maps based on these price levels. The paper also employed a simple analysis of linear regression based on the coefficient of determination to investigate the relationship between online property views and values of house sales.

Findings

The result indicated the strong relationship between online property views and the values of house sales, implying the possibility of using search data from online property portals to predict housing market activities. It then explore the spatial housing demand patterns based on searches and showed a mismatch between the spatial patterns of housing search and actual moves across submarkets. The findings may not be very surprising but the main objective of the paper is to open up a potentially useful methodological approach which could be extended in future research.

Research limitations/implications

It is important to identify search patterns from people who search with the intention to buy houses and from people who search with no intention to purchase properties. Rightmove data do not adequately represent housing search activity, and therefore more attention should be paid to this issue. The analysis of housing search helps us have a better understanding of households' preferences to better estimate housing demand and develop search-based prediction models. It also helps us identify spatial and structural submarkets and examine the mismatches between current housing stock and housing demand in submarkets.

Social implications

The GIS approach in this paper may help planners and designers better allocate land resources for new housing supply based on households' spatial and structural preferences by identifying high and low demand areas with high searches relative to low housing stocks. Furthermore, the analysis of housing search patterns helps identify areas with latent demand, and when combined with the analysis of transaction patterns, it is possible to realise the areas with a lack of housing supply relative to excess demand or a lack of latent demand relative to the housing stock.

Originality/value

The paper proves the usefulness of a GIS approach to investigate households' preferences and aspirations through search data from online property portals. The contribution of the paper is the visual GIS-based approach, and based on this approach the paper fills the international knowledge gap in exploring effective approaches to analysing user-generated search data and market outcome data in combination.

Details

Open House International, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0168-2601

Keywords

Article
Publication date: 10 November 2022

Aidin Namin and Seth Ketron

While prior research has investigated factors that predict consumers’ information search behaviors as they relate to automobiles, such studies were conducted prior to the…

Abstract

Purpose

While prior research has investigated factors that predict consumers’ information search behaviors as they relate to automobiles, such studies were conducted prior to the COVID-19 pandemic. Given that the pandemic has necessitated lockdowns, social distancing, business closures and other disruptions to normal shopping activities, consumer information search behaviors have also been substantially altered as the psychological distance between consumers and marketers has increased. Thus, this study aims to examine these changes and identify patterns of search behavior for a major durable product: automobiles.

Design/methodology/approach

Using survey data from before and during the pandemic, the study implements Finite Mixture Modeling to unveil latent segments of U.S. consumers’ search behaviors and choices for Japanese automobiles. This analytic method enables capturing consumer unobserved heterogeneity through mixing probabilities guided by individual characteristics. These segments are determined based on consumers’ information search for online and offline marketer-controlled and nonmarketer-controlled sources.

Findings

The study identifies that two segments of consumers emerge both prior to the pandemic and during the pandemic. These empirically validated findings indicate that the pandemic has led to shifts in consumers’ information search behaviors for Japanese automobiles by relying more on nonmarketer-controlled sources of information.

Originality/value

This work is among the first comprehensive empirical analyses of consumer search for a major durable product by comparing pre- and during pandemic patterns. Using analytics and econometrics, the first-hand analysis findings offer meaningful implications for marketers and product managers in the automotive industry.

Details

Journal of Product & Brand Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1061-0421

Keywords

Article
Publication date: 6 March 2017

Shyang-Jye Chang and Ray-Hong Wang

The motion vector estimation algorithm is very widely used in many image process applications, such as the image stabilization and object tracking algorithms. The…

Abstract

Purpose

The motion vector estimation algorithm is very widely used in many image process applications, such as the image stabilization and object tracking algorithms. The conventional searching algorithm, based on the block matching manipulation, is used to estimate the motion vectors in conventional image processing algorithms. During the block matching manipulation, the violent motion will result in greater amount of computation. However, too large amount of calculation will reduce the effectiveness of the motion vector estimation algorithm. This paper aims to present a novel searching method to estimate the motion vectors effectively.

Design/methodology/approach

This paper presents a novel searching method to estimate the motion vectors for high-resolution image sequences. The searching strategy of this algorithm includes three steps: the larger area searching, the adaptive directional searching and the small area searching.

Findings

The achievement of this paper is to develop a motion vector searching strategy to improve the computation efficiency. Compared with the conventional motion vector searching algorithms, the novel motion vector searching algorithm can reduce the motion matching manipulation effectively by 50 per cent.

Originality/value

This paper presents a novel searching strategy to estimate the motion vectors effectively. From the experimental results, the novel motion vector searching algorithm can reduce the motion matching manipulation effectively, compared with the conventional motion vector searching algorithms.

Details

Engineering Computations, vol. 34 no. 1
Type: Research Article
ISSN: 0264-4401

Keywords

Article
Publication date: 1 January 1992

Judith Carter

Discusses the change in the search‐to‐produce ratio from 3:1 to1.5:1 free searches for every produce or update command. Explains whatthe OCLC considers to be on the ′search

Abstract

Discusses the change in the search‐to‐produce ratio from 3:1 to 1.5:1 free searches for every produce or update command. Explains what the OCLC considers to be on the ′search′ side and what activities are on the ′produce′ side of the ratio, focusing on numeric and derived keys, title browse, search history, and the use of microenhancers and CD450 searches.

Details

OCLC Micro, vol. 8 no. 1
Type: Research Article
ISSN: 8756-5196

Keywords

Article
Publication date: 1 March 1984

Rita H. Smith and Linda L. Phillips

Online databases have become increasingly accessible to end users through the use of microcomputers. The quickly expanding family of end‐user databases and software…

Abstract

Online databases have become increasingly accessible to end users through the use of microcomputers. The quickly expanding family of end‐user databases and software support services reflects the diverse needs of end users. Two popular databases, Compu‐Serve and The Source, appeal to home and business users with direct access to such data as financial information, airline schedules, restaurant guides, weather news, and consumer tips. A related approach has been taken by DIALOG'S Knowledge Index and BRS/After Dark. Directed toward the home information consumer, these vendor services provide access to some 12 to 23 of their most frequently consulted online databases. Using simplified DIALOG and BRS search protocol, the microcomputer operator is charged a reduced fee by searching during evening and weekend hours. A third variation on end‐user searching exists in front‐end software programs such as OL'SAM, CAST and Userkit. These products allow the user to gain access to a variety of database vendors using a single search protocol; the user learns one set of commands which, through the mediation of the software, will work on several database systems. ISI's Sci‐Mate provides similar features.

Details

Reference Services Review, vol. 12 no. 3
Type: Research Article
ISSN: 0090-7324

Article
Publication date: 1 October 1978

Susan M. Johnston

At the beginning of the 1970s it became apparent to the Ministry of Agriculture, Fisheries and Food that the use of computers for information work merited serious…

Abstract

At the beginning of the 1970s it became apparent to the Ministry of Agriculture, Fisheries and Food that the use of computers for information work merited serious consideration. We had taken part in investigations which indicated that the technology was well developed and reliable. We knew that large scale commercial services were available. What we did not know was the real value of these external services to the Ministry. All the databases concerned were derived from very familiar printed secondary journals. Did mechanized operation offer substantial advantages? Was the cost justified? How could mechanized operations fit into the present library activities? If the use of computers did offer improved facilities, what administrative arrangements were necessary? It was decided, therefore, to attempt to answer these questions by the evaluation of external computer‐based bibliographic information services under practical conditions.

Details

Aslib Proceedings, vol. 30 no. 10
Type: Research Article
ISSN: 0001-253X

Article
Publication date: 1 January 1985

Raya Fidel

Moves, or changes in query formulation, are made to resolve three problem situations: (1) when retrieved sets are too large; (2) when they are too small; or (3) when…

Abstract

Moves, or changes in query formulation, are made to resolve three problem situations: (1) when retrieved sets are too large; (2) when they are too small; or (3) when retrieved sets are off‐target. Observation and analysis of about ninety searches resulted in a list of eighteen operational moves, or modifications of query formulation, that keep the meaning of query components unchanged, and twelve conceptual moves which change the meaning of query components. All these moves are explained and then related to search tactics and strategies.

Details

Online Review, vol. 9 no. 1
Type: Research Article
ISSN: 0309-314X

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