Arthur M. Langer – författare

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.

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.

Successfully navigate the changing face of the CIO roleStrategic Information Technology offers CIOs a handbook for engaging with the senior management conversations surrounding strategy. The CIO role is currently undergoing a massive transition from technology-focused expert to a more strategic mindset, and this book provides proven methods for taking your seat at the table. Lessons from high-performing CIOs and a wealth of leading-edge insight provide invaluable guidance for positioning technology as a strategic driver across the business, while a focus on building the necessary connections—for example, an alliance between IT and HR—provide a multimodal approach to navigating the transition.The evolution of the CIO’s role involves more than simply technical knowledge; the new CIO must be an influencer, an engager, and just as adept at the soft skills that become increasingly crucial as you climb the management ladder. It’s about changing mindsets, translating hard skills into strategic advantages, and demonstrating IT’s value to the strategic decision making process. This book provides best practices, illustrative examples, and up-to-date perspective for CIOs wanting to: Position IT as a critical driver of overall strategyBuild on functional expertise with strategic insightLearn from the stories of successful tech-to-strategy transformations Engage C-Suite peers in shaping the strategic conversationNot long ago, the CIO occupied a unique place in the C-Suite. Executive by title, CIOs have nevertheless been seen as predominantly the “chief tech expert” with little input into strategy, as IT has historically been regarded as a tool rather than a source of competitive advantage. The truth is becoming increasingly apparent, with companies around the world turning to technology in order to gain a competitive edge, and CIOs are beginning to claim their place in strategy discussions. Strategic Information Technology offers much needed guidance for a successful transformation.

This book addresses how best to make build vs. buy decisions, and what effect such decisions have on the software development life cycle (SDLC). Offering an integrated approach that includes important management and decision practices, the text explains how to create successful solutions that fit user and customer needs, by mixing different SDLC methodologies. Features: provides concrete examples and effective case studies; focuses on the skills and insights that distinguish successful software implementations; covers management issues as well as technical considerations, including how to deal with political and cultural realities in organizations; identifies many new alternatives for how to manage and model a system using sophisticated analysis tools and advanced management practices; emphasizes how and when professionals can best apply these tools and practices, and what benefits can be derived from their application; discusses searching for vendor solutions, and vendor contract considerations.

This book presents a guide to navigating the complicated issues of quality and process improvement in enterprise software implementation, and the effect these have on the software development life cycle (SDLC).

This book presents a guide to navigating the complicated issues of quality and process improvement in enterprise software implementation, and the effect these have on the software development life cycle (SDLC).

In any software design project, the analysis stage – documenting and designing technical requirements for the needs of users - is vital to the success of the project. This book provides a thorough introduction and survey to all aspects of analysis.This edition provides new features including: Additional chapters on system Development Life Cycle and Data Element Naming Conventions and Standards; more coverage on converting logical models to physical models, how to generate DDL and testing database functionalities; expansion of database section with concepts such as denormalization, security and change control; developments on new design and technologies, particularly in the area of web analysis and design. A revised Web/Commerce chapter addresses component middleware for complex systems design; new Case Studies.This book is a valuable resource and guide for all information systems students, practitioners and professionals who need an in-depth understanding of the principles of the analysis and design process.

In any software design project, the analysis stage – documenting and designing technical requirements for the needs of users - is vital to the success of the project. This book provides a thorough introduction and survey to all aspects of analysis.This edition provides new features including: Additional chapters on system Development Life Cycle and Data Element Naming Conventions and Standards; more coverage on converting logical models to physical models, how to generate DDL and testing database functionalities; expansion of database section with concepts such as denormalization, security and change control; developments on new design and technologies, particularly in the area of web analysis and design. A revised Web/Commerce chapter addresses component middleware for complex systems design; new Case Studies.This book is a valuable resource and guide for all information systems students, practitioners and professionals who need an in-depth understanding of the principles of the analysis and design process.

This book provides a detailed “how-to” guide, addressing aspects ranging from analysis and design to the implementation of applications, which need to be integrated within legacy applications and databases.The analysis and design of the next generation of software architectures must address the new requirements to accommodate the Internet of things (IoT), cybersecurity, blockchain networks, cloud, and quantum computer technologies. As 5G wireless increasingly establishes itself over the next few years, moving legacy applications into these new architectures will be critical for companies to compete in a consumer-driven and social media-based economy. Few organizations, however, understand the challenges and complexities of moving from a central database legacy architecture to a ledger and networked environment.The challenge is not limited to just designing new software applications. Indeed, the next generation needs to function more independently on various devices, and on more diverse and wireless-centric networks. Furthermore, databases must be broken down into linked list-based blockchain architectures, which will involve analytic decisions regarding which portions of data and metadata will be processed within the chain, and which ones will be dependent on cloud systems. Finally, the collection of all data throughout these vast networks will need to be aggregated and used for predictive analysis across a variety of competitive business applications in a secured environment. Certainly not an easy task for any analyst/designer!Many organizations will continue to use packaged products and open-source applications. These third-party products will need to be integrated into the new architecture paradigms and have seamless data aggregation capabilities, while maintaining the necessary cyber compliances. The book also clearly defines the roles and responsibilities of the stakeholders involved, including the IT departments, users, executive sponsors, and third-party vendors. The book’s structure also provides a step-by-step method to help ensure a higher rate of success in the context of re-engineering existing applications and databases, as well as selecting third-party products, conversion methods and cybercontrols. It was written for use by a broad audience, including IT developers, software engineers, application vendors, business line managers, and executives.

The 2nd edition will add a major chapter on Generative AI in Software Architecture. This chapter will provide a comprehensive background in generative models, its impact on software design, evolution of new analysis methodologies, and the overall impact of the Systems Development Life Cycle (SDLC).The new edition will also have new sections relating to Generative AI in Cybersecurity analysis and design, including proactive threat detection, ethical issues regarding privacy, and generative AI workflows (Charlotte AI). Other updates include Legacy System interfaces with Generative AI, new impacts on project management, and Platform design architecture.The 2nd edition will have a number of editing changes and corrections, as well as about 30 pages net of some eliminations of outdated content.

Focusing on the critical role IT plays in organizational development, the book shows how to employ action learning to improve the competitiveness of an organization. Defining the current IT problem from an operational and strategic perspective, it presents a collection of case studies that illustrate key learning issues. It details a dynamic model for effective IT management through adaptive learning techniques—supplying proven educational theories and practices to foster the required changes in your staff. It examines existing organizational learning theories and the historical problems that occurred with companies that have used them, as well as those that have failed to use them.