Suchergebnisse

This book presents a framework through transformation and explains how business goals can be translated into realistic plans that are tangible and yield real results in terms of the top line and the bottom line. Process Transformation is like a tangram puzzle, which has multiple solutions yet is essentially composed of seven?tans? that hold it together. Based on practical experience and intensive research into existing material,?Process Tangram? is a simple yet powerful framework that proposes Process Transformation as a program. The seven?tans? are: the transformation program itself, triggers, goals, tools and techniques, culture, communication and success factors. With its segregation into tans and division into core elements, this framework makes it possible to use?pick and choose? to quickly and easily map an organization?s specific requirements. Change management and process modeling are covered in detail. In addition, the book approaches managed services as a model of service delivery, which it explores as a case of process transformation. This book will appeal to anyone engaged in business process transformation, be it business process management professionals, change managers, sponsors, program managers or line managers. The book starts with the basics, making it suitable even for students who want to make a career in business process management.

Abstract
Some generalizations of the Poisson process and their properties are presented in the paper. The non-homogeneous Poisson process allows to construct a probabilistic model describing the different kinds of accidents number. The nonhomogeneous compound Poisson process enables to describe mathematically the various types of accidents consequences. Theoretical results give possibility to anticipate the accidents number and their consequences.

PurposeTo develop a novel approach for encapsulating high level business knowledge and logic of a given application domain in patterns and frameworks, which can be reused and be applied to improve a process for a given business in the domain and to develop an application to support such process.Design/methodology/approachFormal and explicit business process patterns (BPP) have been developed that synthesize best practices found in hundreds of real projects of process redesign. From these, software business objects (BO) frameworks that encapsulate business logic have been derived.FindingsGood characterization of the processes and associated decisions by means of formal BPP allows including complex generalized business decisions logic in BO frameworks. Such logic is built upon the best current knowledge of analytical methods, such as business intelligence, optimization and heuristics.Practical implicationsThis approach provides a very flexible way, based on reusable components, to develop solutions and software for complex business decisions, which is an alternative to packaged products. The approach is exemplified by using a specific application domain and applied to a real case in the domain.Originality/valueAs it is shown in the literature review in the paper, patterns and frameworks up to now have only marginally included high‐level decision logic.

Purpose
The purpose of this paper is to determine the state-of-the-art in research on process owners, a key role within business process management and process governance, and thus to increase our understanding of the role of process owners.


Design/methodology/approach
The author conducts a systematic literature review of research shedding light on the role of process owners. The review includes 100 academic papers and 10 books on BPM.


Findings
Findings from the review demonstrate the significance of appointing process owners and showcase process owners' role and responsibilities, as well as obstacles to and enablers of effective process ownership.


Originality/value
Based on the findings from the review, the author proposes a comprehensive framework on process ownership. The review provides a knowledge base for future research to build upon and can serve as a guide for practitioners. The review also identifies several research gaps and opportunities for future research.

Presents a framework for the development of process measurement systems. The purpose can be described as reflecting a strong need for increased knowledge of the development of process‐oriented measurement systems for analysing the order process, as well as knowledge concerning the prerequisites for this development and the potential effects it can have. The research subordinated a systems approach together with elements of the actor‐based approach. The research area's boundary spanning character required an interdisciplinary integration of knowledge. The research process encompassed an extensive study of the literature, as well as a field study and a major case study carried out in the form of action research. The author's present occupation as a management consultant has also been important for the verification of the results presented. Presents an eight‐step model for developing a measurement system for a specific process. Special attention is given to the step of deriving and selecting the actual measures. The framework also includes a suggestion for measurement system, a process measure classification model and a discussion of the measurement needs of the process‐oriented organisation.

I Introduction -- 1. Examples -- 2. Definitions -- 3. Classification according to the nature of E -- 4. Classification according to the nature of the set T of instants where the system is observed -- II Poisson processes -- A. Generalities — Point processes -- B. The uniform Poisson process -- C. Probability distributions associated to Poisson processes -- D. Extensions: Poisson-type-processes -- Problems for solution -- Random functions associated to a Poisson process -- III Numerical processes with independent random increments -- 1. Definition -- 2. Mean values — zero mean process -- 3. Variance distribution -- 4. Cumulants and second characteristic functions -- 5. Indicator function of a Poisson process -- 6. The Wiener-Levy process -- 7. Laplace processes with independent increments -- 8. General form of the random functions X (t) with independent increments -- 9. Infinitely divisible distributions -- 10. Stable distributions -- Problems for solution -- IV Markov processes -- A. Generalities and definitions -- B. Study by means of convexity -- C. Study by means of spectral analysis -- D. Direct algebraic study -- E. Reaching delays and sojourn duration problems -- F. Miscellaneous -- Problems for solution -- V Laplace processes and second order processes -- 1. Introduction -- A. Second order properties -- B. Laplace processes -- Problems for solution -- VI Some Markov processes on continuous-time -- 1. Homogeneous Laplace-Markov sequences -- 2. Stationary Laplace-Markov sequence -- 3. Estimation problems -- 4. Interpolation — permanent process -- 5. Non homogeneous standardized Laplace-Markov processes -- 6. General form of Laplace-Markov processes -- 7. Wiener-Levy processes -- 8. Poisson-Markov processes -- Problems for solution -- Answers to problems.

1 What is a Stochastic Process? -- 2 Results from Probability Theory -- 2.1 Introduction to probability theory -- 2.2 Bivariate distributions -- 2.3 Multivariate distributions -- 2.4 Probability generating functions -- 2.5 Characteristic functions -- 3 The Random Walk -- 3.1 The unrestricted random walk -- 3.2 Types of stochastic process -- 3.3 The gambler's ruin -- 3.4 Generalisations of the random-walk model -- 4 Markov Chains -- 4.1 Definitions -- 4.2 Equilibrium distributions -- 4.3 Applications -- 4.4 Classification of the states of a Markov chain -- 5 The Poisson Process -- 6 Markov Chalns with Continuous Time Parameters -- 6.1 The theory -- 6.2 Applications -- 7 Non-Markov Processes in Continuous Time with Discrete State Spaces -- 7.1 Renewal theory -- 7.2 Population processes -- 7.3 Queuing theory -- 8 Diffusion Processes -- Recommendations For Further Reading.

We develop the ontology of "process complexity" and describe how the dynamics of "becoming" can be framed as the emerging, stabilising, and ultimate dissolving of "patterns of relationships." By extending traditional complexity thinking through introducing a "field theory" view, we develop a more nuanced and inclusive perspective of the processual complex world. We show how this leads to the idea of ontological uncertainty. We demonstrate how process complexity resonates with the ontologies of many different schools of thought including quantum gravity, the process philosophers of the Axial Age, and the early modern process philosophers impacted by Darwin's theory of evolution, such as Bergson, Whitehead, and James. The remarkable alignment of these diverse perspectives from science and philosophy adds conviction and depth to the development of process complexity. We conclude by indicating how process complexity influences our approach to policy and management practice.