Author: Arthur Langer
Publisher: Springer Nature
ISBN: 3031264010
Category : Business & Economics
Languages : en
Pages : 291
Book Description
Most existing companies struggle currently because they lack the tools and strategies to move product departments into independent platforms that can be retrofitted to form dynamic new products based on consumer demands. This book provides managers and professionals with the necessary approaches for designing software and hardware architectures to support data platform organizations. Specifically, it demonstrates how to automate the decomposition of existing platforms into smaller parts that can be reused to form new variations. This task requires significant analysis and design methodologies and procedures to create an infrastructure based on data as opposed to products. These new knowledge bases allow data-centric professionals to pursue actions that can better predict and respond to the unexpected. Featuring case examples from companies such as Lego, FedEx, General Electric (GE), Pfizer, P&G and more, this book is appropriate for C-level executives engaged in the digital transformation of their firms; entrepreneurs of digital platform companies; and senior software engineers that need to design Internet of Things (IoT) devices and integrate them with block chain and multi-cloud architectures. In addition, this book is also useful for graduate-level coursework in data science.
Developing a Path to Data Dominance
Author: Arthur Langer
Publisher: Springer Nature
ISBN: 3031264010
Category : Business & Economics
Languages : en
Pages : 291
Book Description
Most existing companies struggle currently because they lack the tools and strategies to move product departments into independent platforms that can be retrofitted to form dynamic new products based on consumer demands. This book provides managers and professionals with the necessary approaches for designing software and hardware architectures to support data platform organizations. Specifically, it demonstrates how to automate the decomposition of existing platforms into smaller parts that can be reused to form new variations. This task requires significant analysis and design methodologies and procedures to create an infrastructure based on data as opposed to products. These new knowledge bases allow data-centric professionals to pursue actions that can better predict and respond to the unexpected. Featuring case examples from companies such as Lego, FedEx, General Electric (GE), Pfizer, P&G and more, this book is appropriate for C-level executives engaged in the digital transformation of their firms; entrepreneurs of digital platform companies; and senior software engineers that need to design Internet of Things (IoT) devices and integrate them with block chain and multi-cloud architectures. In addition, this book is also useful for graduate-level coursework in data science.
Publisher: Springer Nature
ISBN: 3031264010
Category : Business & Economics
Languages : en
Pages : 291
Book Description
Most existing companies struggle currently because they lack the tools and strategies to move product departments into independent platforms that can be retrofitted to form dynamic new products based on consumer demands. This book provides managers and professionals with the necessary approaches for designing software and hardware architectures to support data platform organizations. Specifically, it demonstrates how to automate the decomposition of existing platforms into smaller parts that can be reused to form new variations. This task requires significant analysis and design methodologies and procedures to create an infrastructure based on data as opposed to products. These new knowledge bases allow data-centric professionals to pursue actions that can better predict and respond to the unexpected. Featuring case examples from companies such as Lego, FedEx, General Electric (GE), Pfizer, P&G and more, this book is appropriate for C-level executives engaged in the digital transformation of their firms; entrepreneurs of digital platform companies; and senior software engineers that need to design Internet of Things (IoT) devices and integrate them with block chain and multi-cloud architectures. In addition, this book is also useful for graduate-level coursework in data science.
Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency
Author: Ajibesin, Adeyemi Abel
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 413
Book Description
In today's highly competitive and rapidly evolving global landscape, the quest for efficiency has become a crucial factor in determining the success of organizations across various industries. Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency is a comprehensive guide that delves into the powerful mathematical tool of DEA, is designed to assess the relative efficiency of decision-making units (DMUs), and provides valuable insights for performance improvement. This book presents a systematic overview of DEA models and techniques, from fundamental concepts to advanced methods, showcasing their practical applications through real-world examples and case studies. Catering to a broad audience, this book is designed for students, researchers, consultants, decision-makers, and enthusiasts in the field of efficiency analysis and performance measurement. Consultants and practitioners will gain practical insights for applying DEA in various contexts, and decision-makers will be equipped to make informed decisions for maximizing efficiency. Additionally, individuals with a general interest in data analysis and performance measurement will find this book accessible and informative. This book covers a wide range of topics, including mathematical foundations of DEA, DEA models and variations, DEA efficiency and productivity measures, DEA applications in various industries such as healthcare, finance, supply chain management, environmental management, education management, and public sector management.
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 413
Book Description
In today's highly competitive and rapidly evolving global landscape, the quest for efficiency has become a crucial factor in determining the success of organizations across various industries. Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency is a comprehensive guide that delves into the powerful mathematical tool of DEA, is designed to assess the relative efficiency of decision-making units (DMUs), and provides valuable insights for performance improvement. This book presents a systematic overview of DEA models and techniques, from fundamental concepts to advanced methods, showcasing their practical applications through real-world examples and case studies. Catering to a broad audience, this book is designed for students, researchers, consultants, decision-makers, and enthusiasts in the field of efficiency analysis and performance measurement. Consultants and practitioners will gain practical insights for applying DEA in various contexts, and decision-makers will be equipped to make informed decisions for maximizing efficiency. Additionally, individuals with a general interest in data analysis and performance measurement will find this book accessible and informative. This book covers a wide range of topics, including mathematical foundations of DEA, DEA models and variations, DEA efficiency and productivity measures, DEA applications in various industries such as healthcare, finance, supply chain management, environmental management, education management, and public sector management.
Information Technology and Organizational Learning
Author: Arthur M. Langer
Publisher: CRC Press
ISBN: 1000990966
Category : Technology & Engineering
Languages : en
Pages : 404
Book Description
Because digital and information technology (IT) has become a more significant part of strategic advantage and workplace operations, information systems personnel have become key to the success of corporate enterprises, particularly with the pursuit of becoming more "digital." This book focuses on the vital role that technology must play in the course of organizational development and learning and on the growing need to integrate technology, particularly digital technology, fully into the culture of all organizations. Fundamentally this fourth edition takes an even stronger position than the previous editions that organizational learning is crucial to the success of what has been coined "digital transformation." Companies are struggling to understand what it means to "be digital." Their technology personnel go far beyond the traditional IT staff into areas such as artificial intelligence (AI), machine learning (ML), and natural language processing (NL). These three functions now fall under the auspices of "data science," which is now at the center of allowing companies to become more data dominant as is necessary for survival. While traditional IT personnel have long been criticized for their inability to function as part of the business, they are now vital to assist in the leadership of digital transformation. It could be a costly error to underestimate the technical skills needed by IT staff to ensure successful digital transformation. In fact, subsequent chapters will highlight the technical challenges needed to build new architectures based on 5G, blockchain, cloud computing, and eventually quantum processing. The challenge then is to integrate business and technical IT staff via cultural assimilation and to strategically integrate advanced computing architectures. This fourth edition includes new topics such as the future of work that addresses the challenges of assimilating multiple generations of employees and how to establish working cultures that are more resilient and adaptive and can be configured as a platform driven by data assets.
Publisher: CRC Press
ISBN: 1000990966
Category : Technology & Engineering
Languages : en
Pages : 404
Book Description
Because digital and information technology (IT) has become a more significant part of strategic advantage and workplace operations, information systems personnel have become key to the success of corporate enterprises, particularly with the pursuit of becoming more "digital." This book focuses on the vital role that technology must play in the course of organizational development and learning and on the growing need to integrate technology, particularly digital technology, fully into the culture of all organizations. Fundamentally this fourth edition takes an even stronger position than the previous editions that organizational learning is crucial to the success of what has been coined "digital transformation." Companies are struggling to understand what it means to "be digital." Their technology personnel go far beyond the traditional IT staff into areas such as artificial intelligence (AI), machine learning (ML), and natural language processing (NL). These three functions now fall under the auspices of "data science," which is now at the center of allowing companies to become more data dominant as is necessary for survival. While traditional IT personnel have long been criticized for their inability to function as part of the business, they are now vital to assist in the leadership of digital transformation. It could be a costly error to underestimate the technical skills needed by IT staff to ensure successful digital transformation. In fact, subsequent chapters will highlight the technical challenges needed to build new architectures based on 5G, blockchain, cloud computing, and eventually quantum processing. The challenge then is to integrate business and technical IT staff via cultural assimilation and to strategically integrate advanced computing architectures. This fourth edition includes new topics such as the future of work that addresses the challenges of assimilating multiple generations of employees and how to establish working cultures that are more resilient and adaptive and can be configured as a platform driven by data assets.
Political Economy of Artificial Intelligence
Author: Bhabani Shankar Nayak
Publisher: Springer Nature
ISBN: 3031623088
Category :
Languages : en
Pages : 205
Book Description
Publisher: Springer Nature
ISBN: 3031623088
Category :
Languages : en
Pages : 205
Book Description
Developing High Quality Data Models
Author: Matthew West
Publisher: Elsevier
ISBN: 0123751071
Category : Computers
Languages : en
Pages : 408
Book Description
Developing High Quality Data Models provides an introduction to the key principles of data modeling. It explains the purpose of data models in both developing an Enterprise Architecture and in supporting Information Quality; common problems in data model development; and how to develop high quality data models, in particular conceptual, integration, and enterprise data models. The book is organized into four parts. Part 1 provides an overview of data models and data modeling including the basics of data model notation; types and uses of data models; and the place of data models in enterprise architecture. Part 2 introduces some general principles for data models, including principles for developing ontologically based data models; and applications of the principles for attributes, relationship types, and entity types. Part 3 presents an ontological framework for developing consistent data models. Part 4 provides the full data model that has been in development throughout the book. The model was created using Jotne EPM Technologys EDMVisualExpress data modeling tool. This book was designed for all types of modelers: from those who understand data modeling basics but are just starting to learn about data modeling in practice, through to experienced data modelers seeking to expand their knowledge and skills and solve some of the more challenging problems of data modeling. - Uses a number of common data model patterns to explain how to develop data models over a wide scope in a way that is consistent and of high quality - Offers generic data model templates that are reusable in many applications and are fundamental for developing more specific templates - Develops ideas for creating consistent approaches to high quality data models
Publisher: Elsevier
ISBN: 0123751071
Category : Computers
Languages : en
Pages : 408
Book Description
Developing High Quality Data Models provides an introduction to the key principles of data modeling. It explains the purpose of data models in both developing an Enterprise Architecture and in supporting Information Quality; common problems in data model development; and how to develop high quality data models, in particular conceptual, integration, and enterprise data models. The book is organized into four parts. Part 1 provides an overview of data models and data modeling including the basics of data model notation; types and uses of data models; and the place of data models in enterprise architecture. Part 2 introduces some general principles for data models, including principles for developing ontologically based data models; and applications of the principles for attributes, relationship types, and entity types. Part 3 presents an ontological framework for developing consistent data models. Part 4 provides the full data model that has been in development throughout the book. The model was created using Jotne EPM Technologys EDMVisualExpress data modeling tool. This book was designed for all types of modelers: from those who understand data modeling basics but are just starting to learn about data modeling in practice, through to experienced data modelers seeking to expand their knowledge and skills and solve some of the more challenging problems of data modeling. - Uses a number of common data model patterns to explain how to develop data models over a wide scope in a way that is consistent and of high quality - Offers generic data model templates that are reusable in many applications and are fundamental for developing more specific templates - Develops ideas for creating consistent approaches to high quality data models
The Qualcomm Equation
Author: Dave Mock
Publisher: AMACOM/American Management Association
ISBN: 9780814428580
Category : Business & Economics
Languages : en
Pages : 300
Book Description
Annotation The astounding story of how an unknown company made an entire industry adopt a new technology, and then leveraged it for success. The Qualcomm Equation provides readers with a fascinating inside look at how a small company stormed the burgeoning wireless industry and grew into a global multibillion-dollar powerhouse in less than a decade. This book examines how Qualcomm became so successful, chronicling the early history of the company, then provides an in-depth analysis of Qualcomm?s business model. Through this eye-opening, real-life case study, readers will learn:* how the company pioneered and commercialized a new technology in record time ... and made it an industry standard* how Qualcomm?s revolutionary business model relied on licensing this technology * key business strategies that enabled Qualcomm to leapfrog the competition* how companies can encourage and use innovation to dominate their marketsIn addition to describing the development of the wireless industry over the last few decades, The Qualcomm Equation is a riveting look at a one-of-a-kind company.
Publisher: AMACOM/American Management Association
ISBN: 9780814428580
Category : Business & Economics
Languages : en
Pages : 300
Book Description
Annotation The astounding story of how an unknown company made an entire industry adopt a new technology, and then leveraged it for success. The Qualcomm Equation provides readers with a fascinating inside look at how a small company stormed the burgeoning wireless industry and grew into a global multibillion-dollar powerhouse in less than a decade. This book examines how Qualcomm became so successful, chronicling the early history of the company, then provides an in-depth analysis of Qualcomm?s business model. Through this eye-opening, real-life case study, readers will learn:* how the company pioneered and commercialized a new technology in record time ... and made it an industry standard* how Qualcomm?s revolutionary business model relied on licensing this technology * key business strategies that enabled Qualcomm to leapfrog the competition* how companies can encourage and use innovation to dominate their marketsIn addition to describing the development of the wireless industry over the last few decades, The Qualcomm Equation is a riveting look at a one-of-a-kind company.
Web Technologies and Applications
Author: Quan Z. Sheng
Publisher: Springer Science & Business Media
ISBN: 3642292526
Category : Computers
Languages : en
Pages : 816
Book Description
This book constitutes the refereed proceedings of the 14th Asia-Pacific Conference APWeb 2012 held in Kunming, China, in April 2012. The 39 full papers presented together with 34 short papers, 2 keynote talks, and 5 demo papers were carefully reviewed and selected from 167 initial submissions. The papers cover contemporary topics in the fields of Web management and World Wide Web related research and applications, such as advanced application of databases, cloud computing, content management, data mining and knowledge discovery, distributed and parallel processing, grid computing, internet of things, semantic Web and Web ontology, security, privacy and trust, sensor networks, service-oriented computing, Web community analysis, Web mining and social networks.
Publisher: Springer Science & Business Media
ISBN: 3642292526
Category : Computers
Languages : en
Pages : 816
Book Description
This book constitutes the refereed proceedings of the 14th Asia-Pacific Conference APWeb 2012 held in Kunming, China, in April 2012. The 39 full papers presented together with 34 short papers, 2 keynote talks, and 5 demo papers were carefully reviewed and selected from 167 initial submissions. The papers cover contemporary topics in the fields of Web management and World Wide Web related research and applications, such as advanced application of databases, cloud computing, content management, data mining and knowledge discovery, distributed and parallel processing, grid computing, internet of things, semantic Web and Web ontology, security, privacy and trust, sensor networks, service-oriented computing, Web community analysis, Web mining and social networks.
Make Some Noise
Author: Ken Schmidt
Publisher: Simon and Schuster
ISBN: 1501155636
Category : Business & Economics
Languages : en
Pages : 368
Book Description
The former director of communications at Harley-Davidson and one of the most sought-after speakers in the world reveals his exhilarating, innovative approach to creating customer loyalty and marketplace dominance. Ken Schmidt is a wanted man. His role in transforming Harley-Davidson Motor Company—one of the most celebrated corporate success stories in history—led business leaders all over the world to seek his guidance. After all, how many companies can get their customers to tattoo their logo on their arms? After having worked with more than one thousand companies worldwide, Schmidt is ready to share the secrets that spurred Harley-Davidson’s remarkable turnaround. An avid motorcycle enthusiast, Schmidt harnessed his passion for riding to create his famed Noise Cubed Trilogy—the three questions he asks every one of his clients. They assess a company’s positioning, competitiveness, and reputation, and are the key ingredients for any successful corporation: What do the customers your business served yesterday say about your business when they’re talking about you to prospective customers? What do you want them to say? What are you doing to get them to say it? In Make Some Noise, Schmidt shares his full-throttle approach for businesses and individuals alike. Anyone looking to become more competitive and grow customer loyalty can learn from the case studies and experiences he shares. From a nondescript heavy construction company, to the most high-end “luxury” gas station in America, to Apple, and to his own personal landscaper, Schmidt illustrates how the answers to his trio of questions will yield a course of action to stand out in today’s marketplace.
Publisher: Simon and Schuster
ISBN: 1501155636
Category : Business & Economics
Languages : en
Pages : 368
Book Description
The former director of communications at Harley-Davidson and one of the most sought-after speakers in the world reveals his exhilarating, innovative approach to creating customer loyalty and marketplace dominance. Ken Schmidt is a wanted man. His role in transforming Harley-Davidson Motor Company—one of the most celebrated corporate success stories in history—led business leaders all over the world to seek his guidance. After all, how many companies can get their customers to tattoo their logo on their arms? After having worked with more than one thousand companies worldwide, Schmidt is ready to share the secrets that spurred Harley-Davidson’s remarkable turnaround. An avid motorcycle enthusiast, Schmidt harnessed his passion for riding to create his famed Noise Cubed Trilogy—the three questions he asks every one of his clients. They assess a company’s positioning, competitiveness, and reputation, and are the key ingredients for any successful corporation: What do the customers your business served yesterday say about your business when they’re talking about you to prospective customers? What do you want them to say? What are you doing to get them to say it? In Make Some Noise, Schmidt shares his full-throttle approach for businesses and individuals alike. Anyone looking to become more competitive and grow customer loyalty can learn from the case studies and experiences he shares. From a nondescript heavy construction company, to the most high-end “luxury” gas station in America, to Apple, and to his own personal landscaper, Schmidt illustrates how the answers to his trio of questions will yield a course of action to stand out in today’s marketplace.
Measuring Poverty and Wellbeing in Developing Countries
Author: Channing Arndt
Publisher: OUP Oxford
ISBN: 0198744803
Category : Business & Economics
Languages : en
Pages : 372
Book Description
This is an open access title available under the terms of a CC BY-NC-SA 3.0 IGO licence. It is free to read at Oxford Scholarship Online and offered as a free PDF download from OUP and selected open access locations. Detailed analyses of poverty and wellbeing in developing countries, based on household surveys, have been ongoing for more than three decades. The large majority of developing countries now regularly conduct a variety of household surveys, and the information base in developing countries with respect to poverty and wellbeing has improved dramatically. Nevertheless, appropriate measurement of poverty remains complex and controversial. This is particularly true in developing countries where (i) the stakes with respect to poverty reduction are high; (ii) the determinants of living standards are often volatile; and (iii) related information bases, while much improved, are often characterized by significant non-sample error. It also remains, to a surprisingly high degree, an activity undertaken by technical assistance personnel and consultants based in developed countries. This book seeks to enhance the transparency, replicability, and comparability of existing practice. In so doing, it also aims to significantly lower the barriers to entry to the conduct of rigorous poverty measurement and increase the participation of analysts from developing countries in their own poverty assessments. The book focuses on two domains: the measurement of absolute consumption poverty and a first order dominance approach to multidimensional welfare analysis. In each domain, it provides a series of flexible computer codes designed to facilitate analysis by allowing the analyst to start from a flexible and known base. The book volume covers the theoretical grounding for the code streams provided, a chapter on 'estimation in practice', a series of 11 case studies where the code streams are operationalized, as well as a synthesis, an extension to inequality, and a look forward.
Publisher: OUP Oxford
ISBN: 0198744803
Category : Business & Economics
Languages : en
Pages : 372
Book Description
This is an open access title available under the terms of a CC BY-NC-SA 3.0 IGO licence. It is free to read at Oxford Scholarship Online and offered as a free PDF download from OUP and selected open access locations. Detailed analyses of poverty and wellbeing in developing countries, based on household surveys, have been ongoing for more than three decades. The large majority of developing countries now regularly conduct a variety of household surveys, and the information base in developing countries with respect to poverty and wellbeing has improved dramatically. Nevertheless, appropriate measurement of poverty remains complex and controversial. This is particularly true in developing countries where (i) the stakes with respect to poverty reduction are high; (ii) the determinants of living standards are often volatile; and (iii) related information bases, while much improved, are often characterized by significant non-sample error. It also remains, to a surprisingly high degree, an activity undertaken by technical assistance personnel and consultants based in developed countries. This book seeks to enhance the transparency, replicability, and comparability of existing practice. In so doing, it also aims to significantly lower the barriers to entry to the conduct of rigorous poverty measurement and increase the participation of analysts from developing countries in their own poverty assessments. The book focuses on two domains: the measurement of absolute consumption poverty and a first order dominance approach to multidimensional welfare analysis. In each domain, it provides a series of flexible computer codes designed to facilitate analysis by allowing the analyst to start from a flexible and known base. The book volume covers the theoretical grounding for the code streams provided, a chapter on 'estimation in practice', a series of 11 case studies where the code streams are operationalized, as well as a synthesis, an extension to inequality, and a look forward.
Next War
Author: John F Antal
Publisher: Casemate
ISBN: 1636243363
Category : History
Languages : en
Pages : 256
Book Description
"...a useful addition to the literature of the changing character of war. Its scoping and focus, and its application of the identified disruptors to current challenges offer immediate insights for today’s commanders and defence policymakers." — The Wavell Room The nature of war is constant change. We live in an era of exponential technological acceleration which is transforming how wars are waged. Today, the battlespace is transparent; multi-domain sensors can see anything, and long-range precision fire can target everything that is observed. Autonomous weapons can be unleashed into the battlespace and attack any target from above, hitting the weakest point of tanks and armored vehicles. The velocity of war is hyper-fast. Battle shock is the operational, informational, and organizational paralysis induced by the rapid convergence of key disrupters in the battlespace. It occurs when the tempo of operations is so fast, and the means so overwhelming, that the enemy cannot think, decide, or act in time. Hit with too many attacks in multiple domains, all occurring simultaneously, the enemy is paralyzed. In short, the keys to decisive victory in war is to generate battle shock. Imagine a peer fight against Communist China, a new war in Europe against a resurgent Russia, or a conflict against Iran in the Middle East. How can our forces survive an enemy-first strike in these circumstances? Can we adapt to the ever-accelerating tempo of war? Will our forces be able to mask from enemy sensors? How will leaders execute command and control in a degraded communications environment? Will our command posts survive? Will our commanders see and understand what is happening in order to plan, decide, and act in real time? This book addresses these tough questions and more.
Publisher: Casemate
ISBN: 1636243363
Category : History
Languages : en
Pages : 256
Book Description
"...a useful addition to the literature of the changing character of war. Its scoping and focus, and its application of the identified disruptors to current challenges offer immediate insights for today’s commanders and defence policymakers." — The Wavell Room The nature of war is constant change. We live in an era of exponential technological acceleration which is transforming how wars are waged. Today, the battlespace is transparent; multi-domain sensors can see anything, and long-range precision fire can target everything that is observed. Autonomous weapons can be unleashed into the battlespace and attack any target from above, hitting the weakest point of tanks and armored vehicles. The velocity of war is hyper-fast. Battle shock is the operational, informational, and organizational paralysis induced by the rapid convergence of key disrupters in the battlespace. It occurs when the tempo of operations is so fast, and the means so overwhelming, that the enemy cannot think, decide, or act in time. Hit with too many attacks in multiple domains, all occurring simultaneously, the enemy is paralyzed. In short, the keys to decisive victory in war is to generate battle shock. Imagine a peer fight against Communist China, a new war in Europe against a resurgent Russia, or a conflict against Iran in the Middle East. How can our forces survive an enemy-first strike in these circumstances? Can we adapt to the ever-accelerating tempo of war? Will our forces be able to mask from enemy sensors? How will leaders execute command and control in a degraded communications environment? Will our command posts survive? Will our commanders see and understand what is happening in order to plan, decide, and act in real time? This book addresses these tough questions and more.