Information Marketsis a compendium of the i-commerce, the commerce with digital information, content as well as software. Information Markets is a comprehensive overview of the state of the art of ...economic and information science endeavors on the markets of digital information. It provides a strategic guideline for information providers how to analyse their market environment and how to develop possible strategic actions. It is a book for information professionals, both for students of LIS (Library and Information Science), CIS (Computer and Information Science) or Information Management curricula and for practitioners as well as managers in these fields.Frank Linde, Professor für Wirtschaftswissenschaften (Forschungsschwerpunkt: Informationsökonomie) am Institut für Informationswissenschaft an der Fachhochschule Köln; Wolfgang G. Stock,Professor für Informationswissenschaft und Lehrstuhlinhaber am Institut für Informationswissenschaft an der Heinrich-Heine Universität Düsseldorf.Frank Linde, Professor of Economics (Research focus: Information Economics), Cologne University of Applied Sciences, Germany, Institute of Information Science; Wolfgang G. Stock,professor for information science and head of the department of Information Science, Heinrich-Heine-University Düsseldorf.
This Handbook provides a complete compendium of methods for evaluation of IT-based systems and solutions within healthcare. Emphasis is entirely on assessment of the IT-system within its ...organizational environment. The author provides a coherent and complete assessment of methods addressing interactions with and effects of technology at the organizational, psychological, and social levels.It offers an explanation of the terminology and theoretical foundations underlying the methodological analysis presented here. The author carefully guides the reader through the process of identifying relevant methods corresponding to specific information needs and conditions for carrying out the evaluation study. The Handbook takes a critical view by focusing on assumptions for application, tacit built-in perspectives of the methods as well as their perils and pitfalls.
*Collects a number of evaluation methods of medical informatics*Addresses metrics and measures*Includes an extensive list of anotated references, case studies, and a list of useful Web sites
•The study examines the factors leading to information avoidance during COVID-19 pandemic.•Mass Media, Print Media and official websites are used for information seeking during the pandemic.•Only ...Social Media exposure results in information overload and information anxiety.•Information overload is strongly associated with information anxiety which gives rise to information avoidance.•We extend the applicability of S-O-R model to the information behavior domain, especially during the uncertain times.
Individuals seek information for informed decision-making, and they consult a variety of information sources nowadays. However, studies show that information from multiple sources can lead to information overload, which then creates negative psychological and behavioral responses. Drawing on the Stimulus-Organism-Response (S-O-R) framework, we propose a model to understand the effect of information seeking, information sources, and information overload (Stimuli) on information anxiety (psychological organism), and consequent behavioral response, information avoidance during the global health crisis (COVID-19). The proposed model was tested using partial least square structural equation modeling (PLS-SEM) for which data were collected from 321 Finnish adults using an online survey. People found to seek information from traditional sources such as mass media, print media, and online sources such as official websites and websites of newspapers and forums. Social media and personal networks were not the preferred sources. On the other hand, among different information sources, social media exposure has a significant relationship with information overload as well as information anxiety. Besides, information overload also predicted information anxiety, which further resulted in information avoidance.
Process Mining Aalst, Wil M. P. van der
2011, 2011-04-06
eBook
The first to cover this missing link between data mining and process modeling, this book provides real-world techniques for monitoring and analyzing processes in real time. It is a powerful new tool ...destined to play a key role in business process management.
Users often fail to formulate their complex information needs in a single query. As a consequence, they may need to scan multiple result pages or reformulate their queries, which may be a frustrating ...experience. Alternatively, systems can improve user satisfaction by proactively asking questions of the users to clarify their information needs. Asking clarifying questions is especially important in conversational systems since they can only return a limited number of (often only one) result(s).
In this paper, we formulate the task of asking clarifying questions in open-domain information-seeking conversational systems. To this end, we propose an offline evaluation methodology for the task and collect a dataset, called Qulac, through crowdsourcing. Our dataset is built on top of the TREC Web Track 2009-2012 data and consists of over 10K question-answer pairs for 198 TREC topics with 762 facets. Our experiments on an oracle model demonstrate that asking only one good question leads to over 170% retrieval performance improvement in terms of P@1, which clearly demonstrates the potential impact of the task. We further propose a retrieval framework consisting of three components: question retrieval, question selection, and document retrieval. In particular, our question selection model takes into account the original query and previous question-answer interactions while selecting the next question. Our model significantly outperforms competitive baselines. To foster research in this area, we have made Qulac publicly available.
This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time ...series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
This textbook addresses students, professionals, lecturers and researchers interested in software product line engineering. With more than 100 examples and about 150 illustrations, the authors ...describe in detail the essential foundations, principles and techniques of software product line engineering.
The authors are professionals and researchers who significantly influenced the software product line engineering paradigm and successfully applied software product line engineering principles in industry. They have structured this textbook around a comprehensive product line framework.
Software product line engineering has proven to be the paradigm for developing a diversity of software products and software-intensive systems in shorter time, at lower cost, and with higher quality. It facilitates platform-based development and mass customisation. The authors elaborate on the two key principles behind software product line engineering: (1) the separation of software development in two distinct processes, domain and application engineering; (2) the explicit definition and management of the variability of the product line across all development artefacts.
As a student, you will find a detailed description of the key processes, their activities and underlying techniques for defining and managing software product line artefacts. As a researcher or lecturer, you will find a comprehensive discussion of the state of the art organised around the comprehensive framework. As a professional, you will find guidelines for introducing this paradigm in your company and an overview of industrial experiences with software product line engineering.
Many organizations recognize that their employees, who are often considered the weakest link in information security, can also be great assets in the effort to reduce risk related to information ...security. Since employees who comply with the information security rules and regulations of the organization are the key to strengthening information security, understanding compliance behavior is crucial for organizations that want to leverage their human capital. This research identifies the antecedents of employee compliance with the information security policy (ISP) of an organization. Specifically, we investigate the rationality-based factors that drive an employee to comply with requirements of the ISP with regard to protecting the organization's information and technology resources. Drawing on the theory of planned behavior, we posit that, along with normative belief and self-efficacy, an employee's attitude toward compliance determines intention to comply with the ISP. As a key contribution, we posit that an employee's attitude is influenced by benefit of compliance, cost of compliance, and cost of noncompliance, which are beliefs about the overall assessment of consequences of compliance or noncompliance. We then postulate that these beliefs are shaped by the employee's outcome beliefs concerning the events that follow compliance or noncompliance: benefit of compliance is shaped by intrinsic benefit, safety of resources, and rewards, while cost of compliance is shaped by work impediment; and cost of noncompliance is shaped by intrinsic cost, vulnerability of resources, and sanctions. We also investigate the impact of information security awareness (ISA) on outcome beliefs and an employee's attitude toward compliance with the ISP. Our results show that an employee's intention to comply with the ISP is significantly influenced by attitude, normative beliefs, and self-efficacy to comply. Outcome beliefs significantly affect beliefs about overall assessment of consequences, and they, in turn, significantly affect an employee's attitude. Furthermore, ISA positively affects both attitude and outcome beliefs. As the importance of employees' following their organizations' information security rules and regulations increases, our study sheds light on the role of ISA and compliance-related beliefs in an organization's efforts to encourage compliance.
The Early Information Society Black, Alistair; Muddiman, Dave; Plant, Helen
2007, 20160323, 2007-11-01, 2016-03-24
eBook
Whether termed the 'network society', the 'knowledge society' or the 'information society', it is widely accepted that a new age has dawned, unveiled by powerful computer and communication ...technologies. Yet for millennia humans have been recording knowledge and culture, engaging in the dissemination and preservation of information. In `The Early Information Society', the authors argue for an earlier incarnation of the information age, focusing upon the period 1900-1960. In support of this they examine the history and traditions in Britain of two separate but related information-rich occupations - information management and information science - repositioning their origins before the age of the computer and identifying the forces driving their early development.
`The Early Information Society' offers an historical account which questions the novelty of the current information society. It will be essential reading for students, researchers and practitioners in the library and information science field, and for sociologists and historians interested in the information society.
This textbook is ideally suited for classes on business process management, information systems architecture, and workflow management. It is also valuable for project managers and IT professionals, ...since it provides a vendor-independent view on the topic.
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