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Management information systems (MIS) produce the information that managers use to make important strategic decisions. This book covers the essential managerial skills that are necessary to design these systems. In contrast to other books on management information systems, this book takes a decidedly managerial perspective. It focuses on how managers perceive and respond to information, and on their need to use this information to make important decisions. The book considers how systems can be designed to combat 'information overload' experienced by managers, using such techniques as data aggregation and data visualization. Chapters provide an in-depth and practical consideration of these topics, focusing on the use of information systesms for managerial decision making. Designing Management Information Systems covers the topics of key performance indicator monitoring, and of shortlisting and selecting alternatives from a range of options. These are managerial decisions for which MIS are particularly useful, and which managers face on a daily basis. This is the first book offering practical guidance on how systems should be designed to support these decisions. It is written for managers, those studying business, management, and IT, and those developing MIS on behalf of management.
Statistical Analysis of Management Data provides a comprehensive approach to multivariate statistical analyses that are important for researchers in all fields of management, including finance, production, accounting, marketing, strategy, technology, and human resources. This book is especially designed to provide doctoral students with a theoretical knowledge of the concepts underlying the most important multivariate techniques and an overview of actual applications. It offers a clear, succinct exposition of each technique with emphasis on when each technique is appropriate and how to use it. This second edition, fully revised, updated, and expanded, reflects the most current evolution in the methods for data analysis in management and the social sciences. In particular, it places a greater emphasis on measurement models, and includes new chapters and sections on: confirmatory factor analysis canonical correlation analysis cluster analysis analysis of covariance structure multi-group confirmatory factor analysis and analysis of covariance structures. Featuring numerous examples, the book may serve as an advanced text or as a resource for applied researchers in industry who want to understand the foundations of the methods and to learn how they can be applied using widely available statistical software.
In an age where organisations handle significant volumes of data on a daily basis, it is vital that effective information management systems are put in place to manage them and use them to their full potential. Managing Information and Statistics provides the information needed for a sound understanding of the concepts that underpin this key area that is now a feature of every aspect of organisational life. The first part deals with information systems generally, whilst the second looks at how numerical data can be used to develop strategy. Topics addressed include how to utilise information systems for planning and organisation, and storing data; how to design, develop and implement an information systems; data security and human resources information system; how to exploit statistics to sample, forecast and make informed decisions. Fully revised and restructured to cater for CIPD students taking the Managing Information for Competitive Advantage module, as part of the Leadership and Management standards, Managing Information and Statistics is also essential reading for HR and business practitioners looking to further their professional development and manage effectively, as well as students studying information management as part of wider HR and business degrees. This fully revised edition includes case studies, examples, chapter objectives, exercises, chapter conclusions and further reading suggestions to aid student learning, as well as new chapters on Knowledge Management and the E-organisation. With a strategic approach and accessible style, this is your step-by-step guide to developing, managing and utilising information and statistics in a business context.
Innovative technologies are changing the way research is performed, preserved, and communicated. Managing Scientific Information and Research Data explores how these technologies are used and provides detailed analysis of the approaches and tools developed to manage scientific information and data. Following an introduction, the book is then divided into 15 chapters discussing the changes in scientific communication; new models of publishing and peer review; ethics in scientific communication; preservation of data; discovery tools; discipline-specific practices of researchers for gathering and using scientific information; academic social networks; bibliographic management tools; information literacy and the information needs of students and researchers; the involvement of academic libraries in eScience and the new opportunities it presents to librarians; and interviews with experts in scientific information and publishing. - Promotes innovative technologies for creating, sharing and managing scientific content - Presents new models of scientific publishing, peer review, and dissemination of information - Serves as a practical guide for researchers, students, and librarians on how to discover, filter, and manage scientific information - Advocates for the adoption of unique author identifiers such as ORCID and ResearcherID - Looks into new tools that make scientific information easy to discover and manage - Shows what eScience is and why it is becoming a priority for academic libraries - Demonstrates how Electronic Laboratory Notebooks can be used to record, store, share, and manage research data - Shows how social media and the new area of Altmetrics increase researchers' visibility and measure attention to their research - Directs to sources for datasets - Provides directions on choosing and using bibliographic management tools - Critically examines the metrics used to evaluate research impact - Aids strategic thinking and informs decision making
Management Information Systems provides comprehensive and integrative coverage of essential new technologies, information system applications, and their impact on business models and managerial decision-making in an exciting and interactive manner. The twelfth edition focuses on the major changes that have been made in information technology over the past two years, and includes new opening, closing, and Interactive Session cases.
This Handbook provides critical, interdisciplinary contributions from leading international academics on the theory and methodology, practical applications, and broader context of Management Information Systems, as well as offering potential avenues for future research
Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment.
Managing & Using Information Systems: A Strategic Approach provides a solid knowledgebase of basic concepts to help readers become informed, competent participants in Information Systems (IS) decisions. Written for MBA students and general business managers alike, the text explains the fundamental principles and practices required to use and manage information, and illustrates how information systems can create, or obstruct, opportunities within various organizations. This revised and updated seventh edition discusses the business and design processes relevant to IS, and presents a basic framework to connect business strategy, IS strategy, and organizational strategy. Readers are guided through each essential aspect of information Systems, including information architecture and infrastructure, IT security, the business of Information Technology, IS sourcing, project management, business analytics, and relevant IS governance and ethical issues. Detailed chapters contain mini cases, full-length case studies, discussion topics, review questions, supplemental reading links, and a set of managerial concerns related to the topic.
Many fundamentally important decisions about our social life are a function of how well we understand and analyze DATA. This sounds so obvious but it is so misunderstood. Social statisticians struggle with this problem in their teaching constantly. This book and its approach is the ally and support of all instructors who want to accomplish this hugely important teaching goal. This innovative text for undergraduate social statistics courses is, (as one satisfied instructor put it), a "breath of fresh air." It departs from convention by not covering some techniques and topics that have been in social stat textbooks for 30 years, but that are no longer used by social scientists today. It also includes techniques that conventional wisdom has previously thought to be the province of graduate level courses. Linneman’s text is for those instructors looking for a thoroughly "modern" way to teach quantitative thinking, problem-solving, and statistical analysis to their students...an undergraduate social statistics course that recognizes the increasing ubiquity of analytical tools in our data-driven age and therefore the practical benefit of learning how to "do statistics," to "present results" effectively (to employers as well as instructors), and to "interpret" intelligently the quantitative arguments made by others. A NOTE ABOUT THE AUTHOR... At a recent Charter Day celebration, author Tom Linneman was awarded the Thomas Jefferson Teaching Award, the highest award given to young faculty members at the College of William and Mary. The citation for his award noted that Linneman has developed a reputation among his students as a demanding professor – but one who genuinely cares about them.