Christoph G. Schuetz examines the conceptual modeling aspects of multilevel business processes without neglecting the implementation aspects. Furthermore, he investigates the advantages of hetero-homogeneous models for quantitative business process analysis. Multilevel models reflect the reality of many information systems. In this respect process-aware information systems are no exception. Multilevel models capture interdependencies between business processes at different organizational levels and allow for a convenient representation of business process variability which, in turn, facilitates the analysis of business processes across different organizational units.
This book constitutes the refereed proceedings of 12 international workshops held in Tallinn, Estonia, in conjunction with the 10th International Conference on Business Process Management, BPM 2012, in September 2012. The 12 workshops comprised Adaptive Case Management and Other Non-Workflow Approaches to BPM (ACM 2012), Business Process Design (BPD 2012), Business Process Intelligence (BPI 2012), Business Process Management and Social Software (BPMS2 2012), Data- and Artifact-Centric BPM (DAB 2012), Event-Driven Business Process Management (edBPM 2012), Empirical Research in Business Process Management (ER-BPM 2012), Process Model Collections (PMC 2012), Process-Aware Logistics Systems (PALS 2012), Reuse in Business Process Management (rBPM 2012), Security in Business Processes (SBP 2012), and Theory and Applications of Process Visualization (TAProViz 2012). The 56 revised full papers presented were carefully reviewed and selected from 141 submissions.
This text is concerned with modelling of information in various ways, and the development and use of models in information systems. It covers themes on information modelling, design and specification of information systems and knowledge bases.
Information security is receiving a great deal of attention as computers increasingly process more and more sensitive information. A multilevel secure database management system (MLS DBMS) is designed to store, retrieve and process information in compliance with certain mandatory security requirements, essential for protecting sensitive information from unauthorized access, modification and abuse. Such systems are characterized by data objects labeled at different security levels and accessed by users cleared to those levels. Unless transaction processing modules for these systems are designed carefully, they can be exploited to leak sensitive information to unauthorized users. In recent years, considerable research has been devoted to the area of multilevel secure transactions that has impacted the design and development of trusted MLS DBMS products. Multilevel Secure Transaction Processing presents the progress and achievements made in this area. The book covers state-of-the-art research in developing secure transaction processing for popular MLS DBMS architectures, such as kernelized, replicated, and distributed architectures, and advanced transaction models such as workflows, long duration and nested models. Further, it explores the technical challenges that require future attention. Multilevel Secure Transaction Processing is an excellent reference for researchers and developers in the area of multilevel secure database systems and may be used in advanced level courses in database security, information security, advanced database systems, and transaction processing.
Edited by Jussi Kantola, the founding faculty member of the world’s first university Knowledge Service Engineering Department at Korea Advanced Institute of Science and Technology, and Waldemar Karwowski from the Department of Industrial Engineering and Management Systems at UCF, Knowledge Service Engineering Handbook defines what knowledge services engineering means and how it is different from service engineering and service production. This groundbreaking handbook explores recent advances in knowledge service engineering from the accomplished researchers and practitioners in this field from around the world and provides engineering, systemic, industry, and consumer use viewpoints to knowledge service systems and engineering paradigms. The handbook outlines how to acquire and utilize knowledge in the 21st century presenting multiple cultural aspects including US, European, and Asian perspectives. Organized into four parts, it begins with an introduction to the main concepts of knowledge services. It then explores data, information and knowledge based engineering methods and applications that can be used to develop knowledge services, followed by discussions of the importance of human networks in knowledge services. The handbook concludes with descriptions of high-performance knowledge service systems. This structure allows different uses: the information can be looked up as needed or read in the order presented. As with any new field, the excitement lies in seeing how to combine these advances in data, information, and human parts of knowledge services in the future. While most books on this subject concentrate on data, information, or knowledge, this handbook integrates coverage of all three, thus providing a complete examination of sustainable knowledge services. The handbook has been carefully designed to be of use to professionals who develop new knowledge services and related businesses, for academic researchers and lecturers to start new research projects, and for students studying knowledge services, knowledge service production, and knowledge service business.
This book demonstrates how to use multilevel and longitudinal modeling techniques available in the IBM SPSS mixed-effects program (MIXED). Annotated screen shots provide readers with a step-by-step understanding of each technique and navigating the program. Readers learn how to set up, run, and interpret a variety of models. Diagnostic tools, data management issues, and related graphics are introduced throughout. Annotated syntax is also available for those who prefer this approach. Extended examples illustrate the logic of model development to show readers the rationale of the research questions and the steps around which the analyses are structured. The data used in the text and syntax examples are available at www.routledge.com/9780415817110. Highlights of the new edition include: Updated throughout to reflect IBM SPSS Version 21. Further coverage of growth trajectories, coding time-related variables, covariance structures, individual change and longitudinal experimental designs (Ch.5). Extended discussion of other types of research designs for examining change (e.g., regression discontinuity, quasi-experimental) over time (Ch.6). New examples specifying multiple latent constructs and parallel growth processes (Ch. 7). Discussion of alternatives for dealing with missing data and the use of sample weights within multilevel data structures (Ch.1). The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques which facilitate working with multilevel, longitudinal, and cross-classified data sets. Chapters 3 and 4 introduce the basics of multilevel modeling: developing a multilevel model, interpreting output, and trouble-shooting common programming and modeling problems. Models for investigating individual and organizational change are presented in chapters 5 and 6, followed by models with multivariate outcomes in chapter 7. Chapter 8 provides an illustration of multilevel models with cross-classified data structures. The book concludes with ways to expand on the various multilevel and longitudinal modeling techniques and issues when conducting multilevel analyses. Ideal as a supplementary text for graduate courses on multilevel and longitudinal modeling, multivariate statistics, and research design taught in education, psychology, business, and sociology, this book’s practical approach also appeals to researchers in these fields. The book provides an excellent supplement to Heck & Thomas’s An Introduction to Multilevel Modeling Techniques, 2nd Edition; however, it can also be used with any multilevel and/or longitudinal modeling book or as a stand-alone text.
Workflow management systems enjoy increasing popularity due to their ability to coordinate and streamline complex organizational processes within organizations of all sizes. Control of these processes allows an organization to reengineer and improve or adapt them. Interest in workflow management systems was demonstrated in the early 1990s by an increased number of commercial products in an estimated $2 billion market. This book addresses recent advances in workflow management systems. Based on a NATO workshop held in 1997, it is an integrated collection of papers by leading international researchers. Topics emphasized include interoperability, Internet technologies to improve system capabilities, scalable and dynamic cooperation technologies, and workflow system prototypes.
Processes and Foundations for Virtual Organizations contains selected articles from PRO-VE'03, the Fourth Working Conference on Virtual Enterprises, which was sponsored by the International Federation for Information Processing (IFIP) and held in Lugano, Switzerland in October 2003. This fourth edition includes a rich set of papers revealing the progress and achievements in the main current focus areas: -VO breeding environments; -Formation of collaborative networked organizations; -Ontologies and knowledge management; -Process models and interoperability; -Infrastructures; -Multi-agent approaches. In spite of many valid contributions in these areas, many research challenges remain. This is clearly stated in a number of papers suggesting a new research agenda and strategic research roadmaps for advanced virtual organizations. With the selected papers included in this book, PRO-VE pursues its double mission as a forum for presentation and discussion of achievements as well as a place to discuss and suggest new directions and research strategies.
Presents strategies for surmounting the challenges confronting business researchers embarking on international research within their specialties and explores the opportunities afforded by such research.
Public management increasingly takes place in multilevel settings, since most countries are decentralized to one degree or another and most problems transcend and cut across administrative and geographical borders. A collaboration of scholars in the Transnational Initiative on Governance Research and Education (TIGRE Net), Making Multilevel Public Management Work: Stories of Success and Failure from Europe and North America brings together two strands of literature—multilevel governance and public management—and draws conclusions on practices of public management in multilevel governance settings. The book focuses on how to make multilevel public management work. Using an inductive logic, the editors study a particular case or a few selected cases, highlight lessons learned and implications, and identify trends and concerns. The book underscores factors essential to making multilevel public management work, namely coordination and collaboration, and new skills and leadership capacities. It discusses the pitfalls of creating networks instead of managing them and the importance of finding the right leadership skills, institutional design, and network management mechanisms to avoid deadlock and manage conflict effectively. Multilevel public management creates multiple opportunities and their accompanying challenges. By bringing together case studies in Europe and North America, this book identifies conditions for success and those under which such governance arrangements fail. Demonstrating the insights gained by the cross-fertilization of ideas, the book has also been strengthened by the participation of researchers from various disciplines, including public management, political science and international relations, economics, as well as administrative law. The interdisciplinary nature of the scholarship provides a complete and compelling portrait of multilevel public management as practiced and studied on two continents. The book opens the debate on what is needed to make it work
Until recently, few gender scholars took notice of the impact of state architecture on women's representation, political opportunities, and policy achievements. Likewise scholars of federalism, devolution and multilevel governance have largely ignored their gender impact. For the first time, this book explores how women's politics is affected by and affects federalism, whether in Australia, Canada, India, Mexico, Nigeria, Russia or the US. Equally, it assesses the gender implications of devolution and multilevel governance in the European Union, including case studies of the UK and Germany. Globally, multilevel governance is providing new arenas for women's politics. For example, CEDAW (the UN Convention for the Elimination of All Forms of Discrimination against Women) has led most governments to adopt gender-equality norms while other UN instruments have supported Aboriginal self-government. Gender scholars will find especially valuable what is revealed about the impact of political architecture on a broad range of policy issues, including gay marriage, reproductive rights and childcare. Federalism scholars will benefit from the book's wide range of cases, comparative themes and combination of gender and federalism perspectives. Written by leading experts, this book fills an important gap in both literatures.
As network marketing continues its incredibl e growth, more people want to know how it works - and how th ey can make it work for themselves. Moore provides a corpora te perspective on what it takes to create a network marketin g company from scratch. '
The Knowing-Doing Gap
Author: Jeffrey Pfeffer, Robert I. Sutton
Publisher: Harvard Business Press
Why are there so many gaps between what firms know they should do and what they actually do? Why do so many companies fail to implement the experience and insight they've worked so hard to acquire? The Knowing-Doing Gap is the first book to confront the challenge of turning knowledge about how to improve performance into actions that produce measurable results. Jeffrey Pfeffer and Robert Sutton, well-known authors and teachers, identify the causes of the knowing-doing gap and explain how to close it. The message is clear--firms that turn knowledge into action avoid the "smart talk trap." Executives must use plans, analysis, meetings, and presentations to inspire deeds, not as substitutes for action. Companies that act on their knowledge also eliminate fear, abolish destructive internal competition, measure what matters, and promote leaders who understand the work people do in their firms. The authors use examples from dozens of firms that show how some overcome the knowing-doing gap, why others try but fail, and how still others avoid the gap in the first place. The Knowing-Doing Gap is sure to resonate with executives everywhere who struggle daily to make their firms both know and do what they know. It is a refreshingly candid, useful, and realistic guide for improving performance in today's business.
Author: Kevin J. Grimm, Nilam Ram, Ryne Estabrook
Publisher: Guilford Publications
Growth models are among the core methods for analyzing how and when people change. Discussing both structural equation and multilevel modeling approaches, this book leads readers step by step through applying each model to longitudinal data to answer particular research questions. It demonstrates cutting-edge ways to describe linear and nonlinear change patterns, examine within-person and between-person differences in change, study change in latent variables, identify leading and lagging indicators of change, evaluate co-occurring patterns of change across multiple variables, and more. User-friendly features include real data examples, code (for Mplus or NLMIXED in SAS, and OpenMx or nlme in R), discussion of the output, and interpretation of each model's results. User-Friendly Features *Real, worked-through longitudinal data examples serving as illustrations in each chapter. *Script boxes that provide code for fitting the models to example data and facilitate application to the reader's own data. *"Important Considerations" sections offering caveats, warnings, and recommendations for the use of specific models. *Companion website supplying datasets and syntax for the book's examples, along with additional code in SAS/R for linear mixed-effects modeling.