Monitoring business performance : models, methods, and tools

✍ Scribed by Lind, Per

Publisher: Routledge, Taylor and Francis
Year: 2015
Tongue: English
Leaves: 247
Series: Routledge advances in management and business studies.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

The idea of using models to inform business practice seems appealing, as it suggests the abstraction and control of a large, complex subject by means of a smaller, easily manipulated mechanism. In reality, however, many models prove inadequate when translated into business methods. Monitoring Business Performance - Models, Methods and Tools elucidates how the assumptions and perceptions that guide performance Read more...

✦ Table of Contents

Cover
Title
Copyright
Dedication
Contents
List of Tables
List of Figures
List of Boxes
Preface
PART I Models and Theories
1 Monitoring Business Performance
2 Models as Descriptions of Reality
3 Models in Natural and Social Sciences-A Comparison
4 Are Models Transferable in Time and Space?
5 Models as Reflections of Knowledge and Ideas
PART II Methods and Tools
6 Models for Assessing Business Performance
7 Performance Indicators
8 Methods and Tools for Business Development
9 Information Systems as Business Monitoring Tools.

✦ Subjects

Management;Performance;Management science;BUSINESS & ECONOMICS -- Industrial Management;BUSINESS & ECONOMICS -- Management;BUSINESS & ECONOMICS -- Management Science;BUSINESS & ECONOMICS -- Organizational Behavior

📜 SIMILAR VOLUMES

Monitoring business performance : models

📁 Monitoring business performance : models, methods, and tools

✍ Lind, Per 📂 Library 📅 2015 🏛 Routledge, Taylor and Francis 🌐 English

Business Processes for Business Communit

📁 Business Processes for Business Communities: Modeling Languages, Methods, Tools

✍ Frank Schönthaler, Gottfried Vossen, Andreas Oberweis, Thomas Karle (auth.) 📂 Library 📅 2012 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

After a brief introduction to the topic of business process modeling, the book offers a quick-start into model-based business process engineering. After that, the foundations of the modeling languages used are conveyed. Meaningful examples are in the foreground - each of the underlying formalisms

Building Secure Business Models Through

📁 Building Secure Business Models Through Blockchain Technology: Tactics, Methods, Limitations, and Performance

✍ Shweta Dewangan, Sapna Kshatri, Astha Bhanot, Mushtaq Shah 📂 Library 📅 2023 🏛 Business Science Reference 🌐 English

Blockchain technology provided a buzz-seeking opportunity for all industries to implement improved corporate procedures and trust-building. Still, some industries, such as the banking sector, may view it as a disruptive technology that must be adopted. A transaction ledger's contents can be ve

Artifact-Driven Business Process Monitor

📁 Artifact-Driven Business Process Monitoring: A Novel Approach to Transparently Monitor Business Processes, Supported by Methods, Tools, and Real-World Applications

✍ Giovanni Meroni 📂 Library 📅 2019 🏛 Springer International Publishing 🌐 English

This book proposes a novel technique, named artifact-driven process monitoring, by which multi-party processes, involving non-automated activities, can be continuously and autonomously monitored. This technique exploits the Internet of Things (IoT) paradigm to make the physical objects,

Business Cycles Dynamics: Models and Too

📁 Business Cycles Dynamics: Models and Tools

✍ Iryna Sushko 📂 Library 📅 2006 🏛 Springer 🌐 English

Business cycle theory has been one of the fastest growing fields in modern nonlinear economic dynamics. The book is centered around models of multiplier-accelerator type, emerging from Samuelson's seminal work, later developed into nonlinear formats by Hicks and Goodwin. These models left open ends,

Business Cycle Dynamics: Models and Tool

📁 Business Cycle Dynamics: Models and Tools

✍ Tönu Puu (auth.), Professor Dr. Tönu Puu, Dr. Iryna Sushko (eds.) 📂 Library 📅 2006 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Business cycle theory has been one of the fastest growing fields in modern nonlinear economic dynamics. The book is centered around models of multiplier-accelerator type, emerging from Samuelson's seminal work, later developed into nonlinear formats by Hicks and Goodwin. These models left open en