Ease Of Search Research Articles

지역 신문독자의 특성이 구독력 및 지속구독의도에 미치는 영향

The purpose of this study is to conduct an empirical analysis of the impact of the characteristics of the readers of newspapers upon their intent to continue subscription by mediating the ability to subscribe. For this study, the data were gathered from the individuals with experience in reading newspapers in the area of Busan, Ulsan, and Gyeongnam, over the period from April 16 to May 5, 2020. The survey was conducted with the said group electronically using SurveyMonkey (ko.surveymonkey.com). A total of 604 questionnaires were recovered, and after excluding 59 incomplete or unreliable questionnaires, a total of 545 valid questionnaires were used for the final analysis. The gathered data were coded and processed using the IBM SPSS statistics version 25.0 for windows and AMOS 25.0. The result of the verification of the study hypotheses was as follows; First, the characteristics of the local newspaper readers, which were the endogenous variables, were grouped into the four factors of usefulness, trust, readability, and ease of searching. Second, through exploratory factor analysis and confirmatory factor analysis, the exogenous variables were grouped into the four factors of reading engagement, reading comprehension, information comprehension, viral intent, and intent to continue the subscription. Third, the analysis of the hypothesis that the characteristics of the readers would have an impact on their ability to subscribe showed that the factors of usefulness, trust, readability, and ease of searching all had an impact on reading engagement, while usefulness, readability, and ease of search had an impact on reading interest and information comprehension. However, the trust did not have a significant impact on reading interest and information comprehension. Fourth, the analysis of the hypothesis that the ability to subscribe would have an impact on continued subscription showed that reading engagement had an impact on viral intent and the intent to continue the subscription. While reading interest and information comprehension also influenced the intent to continue the subscription, the reading interest, and information comprehension did not have a significant impact on viral intent.

Information Seeking on the Web: An Empirical Analysis

In the post-internet era, the Web has become a conventional Medium for information seeking. Due to the pervasive role of the web in information seeking many scholars have studied its different aspects. The purpose of this study is to further extend the scope of information seeking research by examining the role of the characteristics of the Web (e.g., ease of navigation, ease of searching), properties of information (e.g., organization of information, quality of information, amount of information), and demographic factors in information seeking on the Web. A survey questionnaire was used to collect data from participants at a regional university. Descriptive as well as inferential statistics were used to analyze the responses. Notable impact of demographics such as gender and age was found in the use of the Web for information seeking. Specifically, it was found that females used the Web for information surfing more than the male participants and also preferred more the availability of information in different media formats. Age was found to be a significant influencer in terms of the importance placed on properties of information (e.g., quality of information) and characterizes of the Web (e.g., ease of search). Contrary to the common perceptions, it was found that as knowledge about computers increased the importance placed on convenience in finding information on the Web decreased. Authoritative offline information sources were still considered highly important in information seeking. The findings of this study will inform research on information seeking and will help information professionals to better facilitate users' seeking of information on the Web.

An Information System Landscape of Indonesia Tourism Destination

Tourism and information technology are two things that are currently interrelated. The use of information technology in the tourism sector is very influential in its current development. One of the information technologies approaches used is the information system regarding tourist destinations in Indonesia. The use of the information system is used to make it easy for media users to access information about tourist destinations. All kinds of information conveyed from destinations, routes, attractions, facilities, and others are combined into one information system. In this paper, we present an information system landscape of indonesia tourism destination. We review information system usage for tourism destination. We show that the use of the information system for tourist location destinations can continue to be developed to get the trust of its users, starting from the facilities in the system, to the benefits of its use such as ease of search, ordering or reservation, and others. Finally, we present open problems for future research recommendations.

A Multinetwork and Machine Learning Examination of Structure and Content in the United States Code

This paper introduces a novel linked structure-content representation of federal statutory law in the United States and analyzes and quantifies its structure using tools and concepts drawn from network analysis and complexity studies. The organizational component of our representation is based on the explicit hierarchical organization within the United States Code (USC) as well an embedded cross-reference citation network. We couple this structure with a layer of content-based similarity derived from the application of a “topic model” to the USC. The resulting representation is the first that explicitly models the USC as a “multinetwork” or “multilayered network” incorporating hierarchical structure, cross-references, and content. We report several novel descriptive statistics of this multinetwork. These include the results of this first application of the machine learning technique of topic modeling to the USC as well as multiple measures articulating the relationships between the organizational and content network layers. We find a high degree of assortativity of “titles” (the highest level hierarchy within the USC) with related topics. We also present a link prediction task and show that machine learning techniques are able to recover information about structure from content. Success in this prediction task has a natural interpretation as indicating a form of mutual information. We connect the relational findings between organization and content to a measure of “ease of search” in this large hyperlinked document that has implications for the ways in which the structure of the USC supports (or doesn’t support) broad useful access to the law. The measures developed in this paper have the potential to enable comparative work in the study of statutory networks that ranges across time and geography.

MemCAM: A Hybrid Memristor-CMOS CAM Cell for On-Chip Caches

Non-volatile nanoscale memory devices (such as memristors) have promised to overcome the challenges of scalability and leakage currents of CMOS based memory devices. These novel memories can be fabricated in back-end-of-the-line of any CMOS process. Currently, a lot of research is focused on investigating the benefits of memristors for associative memories. These are Content-Addressable Memories (CAM) in which search based data access takes place. Searching for a particular bit in memristor is time consuming while search in CMOS CAM zone is efficient. To combine the speed and ease of search of CMOS memory and the scalability of memristor memory, we present a novel multibit hybrid CMOS-Memristor Associative Memory Cell. The benefits of such memory cells manifest in on-chip caches - the instruction and data cache, Branch Target Buffer, and Translation Lookaside Buffer. To exemplify the benefit of the cell further, we also simulate the MemCAM as the TLB of an ARM processor and obtained upto 50% decrease in miss rates of Data TLB and upto 93% in that of Instruction TLB. Average speedup of 1.16 was also achieved on various benchmark applications of PARCSEC and MiBench suites.

STUDENTS’ AND TEACHERS’ PERCEPTIONS OF USING ELECTRONIC TEXTBOOKS IN EDUCATIONAL PROCESS

The research evaluates the effectiveness of using electronic textbooks in educational process compared to printed publications. The advantages and disadvantages of introducing e-textbooks in higher education institutions are determined. The problems that students face while working with e-textbooks are outlined. Based on the literature analysis, the authors claim that e-textbooks are more convenient and are being increasingly used in the educational process. A standardised questionnaire including 17 questions was developed by authors to determine students’ and teachers’ perceptions of using e- textbooks in educational process. Data analysis tools comprise the methods of mathematical and descriptive statistics. According to the survey, users want to get cheap but high-quality e-textbooks, with a high level of production, without errors, and with completeness of information. The price and the quality play a crucial role in decision making. Also, the criterion of e-textbooks friendliness is of great importance, including ease of search, the ability to navigate by hyperlinks, and adaptive layout for different devices. The problem of standardisation of e-textbooks may be the subject of further research and practical development.

Data Mining-Based Model Simplification and Optimization of an Electrical Power Generation System

To assess the performance of electrification in an aircraft, multiphysics modeling becomes a good choice for the design of more-electric equipment. However, the high computational cost and huge design space of this complex model lead to difficulties in the optimal design of the electrical power system, thus model simplification is mandatory. For this purpose, this article first proposes a novel model simplification approach based on data mining, and the design of a small electrical power generation system is investigated to demonstrate it. According to the formulated multiphysics model of the system, this article uses the optimal Latin Hypercube-based design of experiment to generate data for the analysis. Based on the generated data, a fusion algorithm integrating multiple feature selection methods is presented to facilitate the dimensionality reduction of the problem's design space. Also, machine learning algorithms are applied to the surrogate model establishment, allowing the reduction of computational time. The investigation of various optimization routines with various multiobjective genetic algorithms shows that the proposed practices improve the system-level optimization efficiency with low computational complexity, ease of search, and high accuracy, which is competitive compared with state-of-the-arts.

Moving Off NK Models' Local Peak: Introducing Structured Interaction Landscape Networks

The innovation of modeling firm search behavior using NK fitness landscapes is twenty years old, but despite the potential of this method its adoption remains sparse. This is likely be due to three reasons. First, many questions of current interest are not amenable to the classic NK model formulation, especially those involving the structure of interactions within firms. Second, rugged landscapes for larger N values are impossible to conceptualize. Third, generating landscapes of significant scale can be computationally intensive. We introduce and extend two innovations, the NM parametric formulation of fitness landscapes and the LON mapping of landscapes, that resolve these issues. The maximal order of interaction specification~(NM) greatly simplifies the landscape computational requirements as well as provides a straightforward, transparent and consistent method of defining interaction structure within a landscape with varying degrees of interaction~(K). We extend the NM specification by introducing the Structured Interaction NM~(SINM) specification. The local optima network~(LON) mapping of a landscape provides insights into landscape structure through a meaningful visualization of the entire landscape, as well as searchability metrics that allow for relevant comparisons between landscapes. By combining these innovations, we can directly structure the interactions in a landscape and then describe how this structure affects the landscape's searchability characteristics. We demonstrate that these searchability characteristics are different for structured and random landscapes, and furthermore that these characteristics actually represent differences in ease of search with a simple iterated search algorithm. We close by considering applications for the application of agent based models with strategic management.

A structural equation method for improving customer satisfaction of e-commerce websites using the hybrid approach of QFD and WebQual

The present study has provided a framework in order to improve the satisfaction of users of e-commerce sites using quality function deployment (QFD) and WebQual instruments. A structural equation model (SEM) has been developed in order to determine the significance of each aspect of the WebQual model and its significance weight. This study has evaluated the satisfaction of users with the quality of website content, transaction quality and security, usability and service interaction quality, and provided the solutions to improve these factors in form of the QFD method. Results showed the transaction quality and security has the highest priority for improvement. Among all the customers' requirements, the indicators such as a wide range of exchanges, preserving privacy, ease of transaction, the right format, ease of search, the usefulness of transactions, and finally the clear and understandable interactions should be placed in a higher priority for improvement by management.

A structural equation method for improving customer satisfaction of e-commerce websites using the hybrid approach of QFD and WebQual

The present study has provided a framework in order to improve the satisfaction of users of e-commerce sites using quality function deployment (QFD) and WebQual instruments. A structural equation model (SEM) has been developed in order to determine the significance of each aspect of the WebQual model and its significance weight. This study has evaluated the satisfaction of users with the quality of website content, transaction quality and security, usability and service interaction quality, and provided the solutions to improve these factors in form of the QFD method. Results showed the transaction quality and security has the highest priority for improvement. Among all the customers' requirements, the indicators such as a wide range of exchanges, preserving privacy, ease of transaction, the right format, ease of search, the usefulness of transactions, and finally the clear and understandable interactions should be placed in a higher priority for improvement by management.

The Merits and Drawbacks of Electronic Journals: A Research Survey of Aerospace Scientists and Engineers of Bangalore

Today, scientific journals undoubtedly represent the most vital means for disseminating research findings. Often, the research challenges common assumptions and/or the research data presented in the published scientific literature in order to gain a clearer understanding of the facts and findings. Depending upon the policies of a given journal, articles may include reports of original research, re-analyses of others’ research, reviews of the literature in a specific area, proposals of new but untested theories, or opinion pieces. One can also say that, journals are fundamental to formal scholarly communication. It is also observed that for more than three centuries, scholarly journals have played a pivotal role in the creation and dissemination of knowledge by serving as the primary medium of scholarly communication. This has however remained unchanged in form and function over its lifetime. It is now very clear that science as we know it is scarcely imaginable without the scholarly journal [1, 2]. A research study was undertaken to study the ‘Advantages and Disadvantages of Electronic Journals’ The geographic boundary of this research study consisted of 16 prominent aerospace organizations of Bangalore. The age-group of this study was between 21-60 years. The broad areas of specialization of the Aerospace Scientists and Engineers have been classified into (a) Thermal and Fluid Sciences, (b) Avionics, Guidance and Control, (c) Aerospace Structures and Allied Mechanical Sciences, (d) Materials and Metallurgy, (e) Flight Operations and other Allied Disciplines, and (f) General Engineering and Support Sciences. The major conclusions of this study are: (a) Analysis of Variance (ANOVA) was applied for testing the significant difference among the 16 mean scores attained from the scientists and engineers of the aerospace organizations for ‘Advantages of Use of e-Journals’. It is observed that all the 16 aerospace organizations show a significant difference (P < 0.05) in their mean scores viz., ‘Current / Up to Date Information’, Ease of Search’, Ease of Browsing’, Multi-User Access, Fast Access, ‘Ability to Download’, ’24 Hour Access’, ‘Available Before Print’, ‘Search-ability of Databases among Journals’, ‘e-Back Volumes are Available’, ‘Non-Availability of Print Volumes’, ‘Easy Backup Availability’ and ‘Multiple e-Choice of Formats (PDF, RTF, DOC and HTML)’. (b) Analysis of Variance (ANOVA) was applied for testing the significant difference among the 16 mean scores attained from the scientists and engineers of the aerospace organizations for ‘Disadvantages of e-Journals’. It is observed that all the 16 aerospace organizations show a significant difference (P < 0.05) in their mean scores viz., ‘Slow Downloads’, ‘Additional Payment’, ‘Problems with Print Facilities in Databases’, ‘Dependence on Connectivity’, ‘Quality of Print Images is Low’ and ‘It is Difficult to Read on Screen,

Intellectual property and the internet

From my recent experience of teaching and assessing, and attending national and international medical education conferences, it has become clear to me that the ease of search and replication, occasional absence of details such as date, copyright notice or an obvious author, coupled with the fact that Google is a search engine and not a repository of free images, is poorly understood by clinical students, clinicians and academics alike. All are arguably aware of the implications of plagiarism and the importance of permission and acknowledgement for the contribution made in research and publications.

Cultural differences in online shopping behavior: Turkey and the United Kingdom

Internet usage and online shopping are increasing in popularity. Consumers from different cultures and with different consumption values are using online shopping due to benefits such as ease of search and order, and entertainment. Previous studies on online shopping investigated factors that influence online shopping as well as motives for, value of, and antecedents of online buying behavior. There has been a paucity of research on cultural influences in online shopping. The present study explores cultural differences in online shopping behavior and consumption value using data from a sample of 201 consumers in Turkey and the United Kingdom. The findings reveal that there are differences in the online shopping behavior of Turkish and British consumers, while the two groups share similar consumption values; moreover some dimensions of online shopping behavior of utilitarian and hedonic online shoppers differ for the overall sample.  To cite this document: Sema Sakarya and Nagehan Soyer, Cultural differences in online shopping behavior: Turkey and the United Kingdom, International Journal of Electronic Commerce Studies, Vol.4, No.2, pp.213-238, 2013. Permanent link to this document: http://dx.doi.org/10.7903/ijecs.1049

Free U.S. Government Databases for Non-Depository Libraries

Free federal government databases are an untapped resource of which many libraries do not take advantage. Many of the databases are cataloged and can be added to a library Online Public Access Catalog; other databases have persistent URLs that can be linked from LibGuides or other online subject finding aids. The desirability and potential drawbacks of adding these resources to the catalog are discussed. Before referring library users to the databases, evaluative criteria must be applied to ensure stability, authority, currency, and ease of search. A select list of federal agency databases that meet the criteria is offered.

Osmium impregnation detection of pulmonary intravascular fat in sudden death: A study of 65 cases

Pulmonary fat embolism is widely recognised in forensic pathology. Pulmonary fat embolism requires mobilisation of free fat, entry of free fat into the circulation and lodging of fat globules in fine venous capillaries. This paradigm of fat embolisation has been used to support the evidence of antemortem fat depot disruption when the presence of intravascular fat is confirmed at autopsy. However, sporadic reports of intravascular fat in various medical conditions, which contradict the above mechanism, have opened questions about the alternative pathogenesis. In this study, 65 cases of sudden deaths were examined for the presence of pulmonary intravascular fat (PIF) by osmium impregnation. Cases were selected based on the criteria that were designed to eliminate the possible confounding effect from medical intervention or postmortem changes. Slides were graded based on their ease of search and only the fat droplets confined by the blood vessel or capillary wall were considered as a positive finding. The results show surprisingly high PIF incidences of varying degrees in all the categories of sudden deaths. Further study is needed to devise criteria for diagnosis of fatal fat embolism since the histological appearance of the high-grade PIF in natural sudden death may not be easily distinguishable from the traumatic fat embolism.

A domain-specific compiler theory based framework for automated reaction network generation

Catalytic chemical reaction networks are often very complicated because of the numerous species and reactions involved. Hence, automating the network generation process is necessary as it is quite labor intensive and error prone to write down all the reactions manually. We present an automated integrated framework for reaction network generation based on domain-specific compiler theory using a knowledge base of chemistry rules. The chemistry rules represent basic reaction mechanisms that the reactants can undergo. The system's domain-specific compiler takes the rules and initial reactants as inputs, parses the rule text, generates the intermediate representation, and finally produces the reaction network by interpreting the intermediate representation. We chose the Abstract Syntax Tree (AST) as the intermediate representation because of its transparency and ease of search. The system executes the AST using the initial reactants, and generates the reaction network. The Reaction Description Language (RDL) has been extended to describe the chemistry rules for catalytic systems, and the molecules are represented by Simplified Molecular Input Line Entry System (SMILES). This framework separates the molecules and the behavior of catalysts, represented by the chemistry rules. This approach accelerates the speed of generating hypotheses for building the kinetic models for catalytic systems.

E-commerce developments and strategies for value creation: The case of Russia

This inductive interview-based study aims to develop a model which describes the kinds of e-commerce business models that create value in Russia. We suggest that prior e-commerce research has not paid enough attention to the environment's role in determining how value is created by different e-commerce business models and thus explore how key factors in the environment impact the development and effectiveness of e-commerce. The study also identifies eight key drivers of e-commerce value creation in Russia (accessibility, ease of search, ease of use, trust, complementarities, novelty, lock-in, and efficiency). The interaction between these value drivers and characteristics of the external environment affect how value is created by e-commerce business models in Russia.

Improved Functionality for Electronic Textbooks

Electronic books, including e-textbooks, are not going away. In fact, thanks to the continued, heavy investment into various forms of electronic technologies by higher education institutions, electronic textbooks, among other e-resources, are getting more visibility. Although patron resistance or reluctance to using electronic textbooks still exists, they are beginning to adjust to the presence, availability, and utility of electronic texts. Specifically, medical library patrons know e-texts exist but are still trying to place them in their didactic toolkits and/or practice armamentariums. The brave patron may find that many of today's electronic textbooks have found a place in the Web age through progressive ease of search, inclusion of a dynamic, active table of contents in close proximity to textbook paragraphs, and presentation of up-to-date information. The new Books@Ovid boasts all of the e-book advances above, as well as improved functionality through a few more features. This column reviews new features of Books@Ovid and its potential future enhancements.

Fast power system voltage prediction using knowledge-based approach and on-line box data creation

The paper presents an algorithm for fast power system contingency analysis using pattern recognition. The pattern space is clustered into data boxes for ease of search and flexibility of programming. The addressable memory structure of the pattern space decouples the voltage prediction problem into subproblems for one busbar and one contingency at a time. To reduce the working memory, the algorithm learns from the short-term load trend and selects only a few data boxes for on-line processing. Further computational savings and improvements in accuracy are achieved by adopting an innovative wafer data box structure that also facilitates subsequent refinement by additions/deletions of patterns acquired from real-time operational experience. Other techniques, with the same objectives, include a procedure for eliminating insignificant features from data boxes and clumping their effects into correction terms; a methodology for selecting the best expression for voltage prediction; and a pattern filter for placing the target state at the geographical centre of the training set nearest neighbourhood patterns.

A Timing Study of the Manual Searching of Catalogs

Experiments were designed and carried out in an attempt to identify some parameters relating to ease of manual searching in library catalogs. A comparison of the difficulty of searching the same file in card form and book form indicated that searching the book catalog generally requires more time. In another experiment, the effect of the similarity of neighboring items in the file to ease of search was examined--a problem which grows as the catalog becomes larger. A definition characterizing degrees of item similarity was proposed, and an experiment based on this definition revealed some consistent patterns of search difficulty. Factors relating to the design of printed list indexes to the card catalog were examined.