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This study aims to examine the performance of Indian research Institutions’ websites using webometrics by investigating their visibility, traffic ranks, number of links, time on site, Indian/Foreign users and page ranks besides focusing on the two designed hypotheses.

The Council of Scientific and Industrial Research (CSIR) directory (www.csir.res.in/external/heads/aboutcsir/lab_directory.htm) is used to identify the research institutions in India. The directory lists 40 research institutions across India. However, Alexa did not offer required information for some of the websites due to very high traffic ranks, and accordingly the list is reduced to 21 research institutions. The data collected were analysed and tabulated to reveal findings in accordance with the desired objectives.

The results reveal that global traffic ranks, number of page views, number of links and time on site of Indian research institutions are low. However, the page ranks are to some extent satisfactory. The traffic ranks of Indian research institutions differ significantly, whereas no major difference in the page ranks is found. Further, the results show that Indian research institutions’ websites have not been able to attract foreign visitors given the calibre and reputation of these institutions.

The results of this study will be useful for website administrators of research institutions in India and across the globe.

The purpose of this paper is to examine and verify the competitive intelligence tools Alexa and SimilarWeb, which are broadly used for website traffic data estimation. Tested tools belong to the state of the art in this area.

The authors use quantitative approach. Research was conducted on a sample of Czech websites for which there are accurate traffic data values, against which the other data sets (less accurate) provided by Alexa and SimilarWeb will be compared.

The results show that neither tool can accurately determine the ranking of websites on the internet. However, it is possible to approximately determine the significance of a particular website. These results are useful for another research studies which use data from Alexa or SimilarWeb. Moreover, the results show that it is still not possible to accurately estimate website traffic of any website in the world.

The limitation of the research lies in the fact that it was conducted solely in the Czech market.

Significant amount of research studies use data sets provided by Alexa and SimilarWeb. However, none of these research studies focus on the quality of the website traffic data acquired by Alexa or SimilarWeb, nor do any of them refer to other studies that would deal with this issue. Furthermore, authors describe approaches to measuring website traffic and based on the analysis, the possible usability of these methods is discussed.

The purpose of this paper is to provide an empirical study demonstrating the impact of internet banking, specifically the traffic rank and reach of the web site, on bank performance.

The current study measures the impact of web site rank, percent of total internet users, and number of external links, using data from Alexa.com on bank performance, measured by deposits per branch, net income, return on assets, noninterest income to earning assets, and noninterest expense to earning assets, using data reported from the FDIC.

Results show some support for the importance of web site traffic rank and reach. Specifically, the percent of total internet users and the number of external links were related to both domestic deposits and total global deposits per branch. Moreover, traffic rank and reach were related to net income and noninterest income to earning assets.

One limitation of this study is that it did not examine web site quality or e‐service quality directly.

The paper demonstrates that greater web site traffic is associated with a greater ability to find new, alternative sources of revenue beyond traditional loans, but that spending more on developing the web site does not necessarily mean the ability to spend less on traditional branch overhead. As such, this paper has value for bank managers and researchers alike.

This research is based on the premise that current metrics for search engine advertising (SEA) are misleading and do not sufficiently allow managers to evaluate traffic and conversions simultaneously. This study aimed to conceptually develop and assess conversion potential (CvP) as a unifying construct for both measuring and evaluating the performance of SEA campaigns.

A data set of nearly seven million records covering almost three years of a multi-million-dollar keyword marketing campaign from a major US retailer was used to validate the construct of CvP.

Results empirically validate how CvP measures both campaign traffic and sales in SEA, using the optimization factor of ad rank, which is one of many possible factors.

Although the data set is large and covers a lengthy period of time, it is limited to one company in the retail sector.

The research instantiates CvP as a metric for overall SEA account performance while demonstrating that it is a practical tool for future campaign planning. The metric simultaneously incorporates a sales ratio and a traffic ratio.

This is the first study to formalize and provide a working definition of CvP in the academic literature. The contribution is a theoretical and practical managerial framework to mutually evaluate, measure and make decisions about SEA efforts.

An important and challenging question for air transportation regulators and airport operators is the definition and specification of airport capacity. Annual capacity is used for long-term planning purposes as a degree of available service volume, but it poses several inefficiencies when measuring the true throughput of the system because of seasonal and daily variations of traffic. Instead, airport throughput is calculated or estimated for a short period of time, usually one hour. This brings about a mismatch: air traffic forecasts typically yield annual volumes, whereas capacity is measured on hourly figures. To manage the right balance between airport capacity and demand, annual traffic volumes must be converted into design hour volumes, so that they can be compared with the true throughput of the system. This comparison is a cornerstone in planning new airport infrastructures, as design-period parameters are important for airport planners in anticipating where and when congestion occurs. Although the design hour for airport traffic has historically had a number of definitions, it is necessary to improve the way air traffic design hours are selected. This study aims to provide an empirical analysis of airport capacity and demand, specifically focusing on insights related to air traffic design hours and the relationship between capacity and delay.

By reviewing the empirical relationships between hourly and annual air traffic volumes and between practical capacity and delay at 50 European airports during the period 2004–2021, this paper discusses the problem of defining a suitable peak hour for capacity evaluation purposes. The authors use information from several data sources, including EUROCONTROL, ACI and OAG. This study provides functional links between design hours and annual volumes for different airport clusters. Additionally, the authors appraise different daily traffic distribution patterns and their variation by hour of the day.

The clustering of airports with respect to their capacity, operational and traffic characteristics allows us to discover functional relationships between annual traffic and the percentage of traffic in the design hour. These relationships help the authors to propose empirical methods to derive expected traffic in design hours from annual volumes. The main conclusion is that the percentage of total annual traffic that is concentrated at the design hour maintains a predictable behavior through a “potential” adjustment with respect to the volume of annual traffic. Moreover, the authors provide an experimental link between capacity and delay so that peak hour figures can be related to factors that describe the quality of traffic operations.

The functional relationships between hourly and annual air traffic volumes and between capacity and delay, can be used to properly assess airport expansion projects or to optimize resource allocation tasks. This study offers new evidence on the nature of airport capacity and the dynamics of air traffic design hours and delay.

The purpose of this paper is to investigate the web site performances of 18 Iranian Research Institutions based on the following factors: web impact factor (WIF), connectivity, visibility and traffic rank.

In this research, AltaVista search engine was used to calculate the number of total links and WIF; and data for traffic rank, number of pages viewed and percentage of foreign and Iranian visitors were extracted from the Alexa data bank. Also correspondence analysis is employed to analyze the data using John's Macintosh Project software.

The results revealed that SANJESH Organization and Iranian Scientific Information and Documentation Center web sites have performed fairly well in most factors. These two web sites have the best ranking in traffic and attracted a large number of total links compared with the other web sites. The results of the correspondence analysis of these 18 web sites can be divided into three groups consisting of one, five and 12 web sites, respectively.

To the best of the authors' knowledge, the evaluation and ranking of Iranian research institutions' web sites were not discussed in any other studies. With web technologies playing such an important role in the areas of science and research today, the functions and performances of research and academic institutions' web sites on the world wide web should be assessed to identify their weaknesses.

The purpose of this paper is to evaluate Indian newspaper web sites using Alexa databank.

The list compiled by Audit Bureau of Circulations of top newspapers in India by daily circulation was used for selecting newspapers. The list included 28 newspapers in various languages. Out of these 26 were available online. These 26 newspapers are taken for evaluation in the present study. Each newspaper web site was searched in Alexa databank and relevant data including traffic rank, pages viewed, speed, links, bounce percentage, time on site, search percentage, and Indian/foreign users were collected. The data collected were analysed and tabulated to reveal findings in accordance with the desired objectives.

The results of this study show that Dainik Bhaskar has the highest traffic rank. Punjab Kesari has the highest number of average pages viewed per day and estimated daily time spent on site by the visitors. The fastest downloading speed is for Economic Times. Hindustan Times has the highest number of links. Decan Herald has the highest reach amongst the global internet users, where as Udayavani has the lowest bounce percentage. The highest percentage of visits that came from search engines is for Dainik Jagran. The highest number of foreign users is for Ananda Bazar Patrika. Most of the foreign users to Indian newspapers come from the USA.

Besides administrators of Indian newspapers, the results of this study will be useful for web site managers in any field including those in charge of library web sites. The study will also help librarians and anyone interested to increase usage of a web site by analysing the use of web site.

In spite of the extensive literature on the regulation of air transport services, until the development of the Quantitative Air Services Agreements Review (QUASAR) methodology no systematic review existed of the degree of liberalization granted through air services agreements. The chapter lays out QUASARs key features, and presents the main results its application has generated. It then elaborates on how the methodology could be further refined and extended to other segments of the air transport industry yet uncovered. Based on QUASAR, the chapter critically evaluates some commonly held beliefs about the liberalization of international passenger transport and then moves on to explore the technical feasibility of creating a liberal multilateral regime for air transport services. QUASAR has demonstrated that, although the air transport sector has experienced some liberalization over the past few years, this has been, overall, rather marginal. The skies are not truly open.

The purpose of this paper is to evaluate Iranian newspapers' web sites based on the criteria obtained from Alexa Search Engine using correspondence analysis.

A total of 55 newspaper web sites are selected from Iranian Magazines Information Bank (Magiran.com), the number of which, after investigating the web sites one by one, due to their print prevention, cessation or no coverage by Alexa, is decreased to 24 web sites.

Based on data obtained from Alexa, Iran newspaper has the highest traffic rank and the largest number of links among others. Bashirmazandaran newspaper has the largest number of foreign users whilst Karvakargar newspaper has no foreign users. The results of the study also show that most newspaper web sites' visitors come from the USA. Correspondence analysis classifies 24 web sites into three groupings gathered based on some common attributes.

The results of this research will be useful not only for administrators of Iranian newspapers' web sites but anyone with a need to increase usage of a web site and an interest in analyzing the use of web site which naturally includes librarians and those in charge of library web sites.

The aim of this work is to evaluate Greek newspaper websites using clustering and a number of criteria obtained from the Alexa search engine. Furthermore, a recommendation approach is proposed for matching Greek online newspapers with the profiles of potential readers. The paper presents the implementation and validation of a recommender tool that suggests to a user (based on age, education and income) an optional Greek newspaper's website to read.

A total of 25 newspaper websites were selected from the Greek information bank http://edoellada.gr. After investigating these websites one by one, this number was decreased to 16 websites due to their printing prevention, cessation or no coverage by Alexa.

Based on data obtained from Alexa, the Naftemporiki newspaper has the highest traffic rank and the Eleftherotypia newspaper the largest number of links among others. The Macedonia newspaper has the largest number of foreign users. The results of the study also show that most newspaper websites' visitors come from the UK. The expectation‐maximisation (EM) clustering algorithm classifies the 16 websites into two groups based on some common characteristics.

The proposed recommendation approach is generic because it can be applied as a recommendation solution on various types of website, such as educational or commercial. However, slight adjustments are needed depending on the nature of recommending websites.

A website administrator of an online newspaper can adapt the newspaper's features such as content and layout according to the prevailing user profile of the online newspaper. For example, a website administrator of an online newspaper whose dominant user education is “no‐college” should enable the writing style of this newspaper in a more naive way. The administrator can also add advertisements that are more suitable to readers aged between 35 and 55 years, if the most frequent age of users of this online newspaper is between 35 and 55.

The results of this research will be important not only to administrators of Greek newspaper websites but also to anyone with a need to increase the usage of a website.