On Time Technology Implementation presents technology implementation guidelines and lessons learned from over 30 years of successful, hands-on project experience.

This book provides the latest models, methods and guidelines for networked enterprises to enhance their competitiveness and move towards innovative high performance and agile industrial systems.In the new global market, competitiveness and economic growth rely greatly on the move toward innovative high performance industrial systems and agile networked enterprises through the creation and consolidation of non-hierarchical manufacturing networks of multi-national SMEs as opposed to networks based on powerful large-scale companies. Network performance can be significantly improved through more harmonious and equitable peer-to-peer inter-enterprise relationships, conforming decentralized and collaborative decision-making models.Traditional hierarchical manufacturing networks are based on centralized models, where some of the actors involved must adapt themselves to the constraints defined by those who are most dominant. Real-world experiences of such models have revealed some major problems due to the centralized vision of the supply chain and the sub-optimal performance of centralized decision-making. For the current highly dynamic markets, this generates major inefficiencies in operation throughout the supply chain.This book collects the latest research regarding non-hierarchical manufacturing networks and provides enterprises with valuable models, methods and guidelines to improve their competitiveness.

'IT in Business: A Manager's Casebook' examines the impact of new IT initiatives from the business angle. The case material is derived from the year's best research projects from three leading UK Business Schools - Bath, Cranfield and Warwick.

This incisive exploration of managing processes in IT companies is essential reading for IT managers in 'end-user' businesses who have to deliver strong business benefits from IT. In a climate of rapid and continual change, such contemporary information is invaluable.
'IT in Business: A Manager's Casebook' tackles managerial issues using specific case studies such as Tesco, Johnsons News Limited and the Department of Health to illustrate these points.
David Targett is the Professor of Information Management at Imperial College Management School, University of London. For eight years, 1990-98, he was the Professor of Information Systems and Director of the Centre for Research into Strategic Information Systems (CRSIS) at the University of Bath. Previously, he was at the London Business School and before becoming an academic he was an industrial engineer in the motor industry.
David Grimshaw is Senior Lecturer in Information Systems at Cranfield School of Management and was previously at the University of Leeds and Warwick Business School, University of Warwick. He has wide teaching experience and has taught in Australia, Hong Kong, Malaysia, Portugal, Russia and Singapore. He has ten years' practical experience in information systems and as an independent consultant has advised many companies on strategic information systems planning and on geographical information systems.
Philip Powell is Professor of Information Systemsat Goldsmiths College, University of London. Prior to this he was Reader in Information Systems and ICAEW Academic Fellow in the Operational Research and Systems Group, and Director of the Information Systems Research Unit at Warwick Business School. Before becoming an academic he worked in insurance, accounting and computing. He has taught in Southampton, Australia and Portugal and held a number of other posts overseas.
Includes projects from three of the leading business schools - Bath, Cranfield, and Warwick
Full of case studies from organizations such as Amtrak and Unilever
Provides up-to-the-minute information on what real-life developments and initiatives that are developing in this area

Unlike the competition, which can be much more theory-heavy texts, this book focuses on how strategy works in everyday practice, which is becoming the core focus of Strategic Management courses globally; New edition has been fully updated throughout, including new case studies from emerging markets and pedagogy such as practice boxes and reflective questions to aid student comprehension of the theory; Online resources include chapter-by-chapter PowerPoint slides and a test bank of questions.

Big Data technologies have the potential to revolutionize the agriculture sector, in particular food safety and quality practices. This book is designed to provide a foundational understanding of various applications of Big Data in Food Safety. Big Data requires the use of sophisticated approaches for cleaning, processing and extracting useful information to improve decision-making. The contributed volume reviews some of these approaches and algorithms in the context of real-world food safety studies. Food safety and quality related data are being generated in large volumes and from a variety of sources such as farms, processors, retailers, government organizations, and other industries. The editors have included examples of how big data can be used in the fields of bacteriology, virology and mycology to improve food safety. Additional chapters detail how the big data sources are aggregated and used in food safety and quality areas such as food spoilage and quality deterioration along the supply chain, food supply chain traceability, as well as policy and regulations. The volume also contains solutions to address standardization, data interoperability, and other data governance and data related technical challenges. Furthermore, this volume discusses how the application of machine-learning has successfully improved the speed and/or accuracy of many processes in the food supply chain, and also discusses some of the inherent challenges. Included in this volume as well is a practical example of the digital transformation that happened in Dubai, with a particular emphasis on how data is enabling better decision-making in food safety. To complete this volume, researchers discuss how although big data is and will continue to be a major disruptor in the area of food safety, it also raises some important questions with regards to issues such as security/privacy, data control and data governance, all of which must be carefully considered by governments and law makers.

This book continues the discussion of the effects of artificial intelligence in terms of economics and finance. In particular, the book focuses on the effects of the change in the structure of financial markets, institutions and central banks, along with digitalization analyzed based on fintech ecosystems. In addition to finance sectors, other sectors, such as health, logistics, and industry 4.0, all of which are undergoing an artificial intelligence induced rapid transformation, are addressed in this book. Readers will receive an understanding of an integrated approach towards the use of artificial intelligence across various industries and disciplines with a vision to address the strategic issues and priorities in the dynamic business environment in order to facilitate decision-making processes. Economists, board members of central banks, bankers, financial analysts, regulatory authorities, accounting and finance professionals, chief executive officers, chief audit officers and chief financial officers, chief financial officers, as well as business and management academic researchers, will benefit from reading this book.

New technology and organizational structures are transforming the workplace, but management skills have not yet caught up. Harnessing knowledge and using it as a competitive advantage is one of the key priorities of organizations today. Honing Your Knowledge Skills looks at how to define knowledge working and identifies the practical skills of knowledge management needed by line managers. This book shows you how to *handle information overload *become an expert *harness new ideas *turn knowledge into action * keep knowledge skills fresh * understand IT resources and knowledge based systems The New Skills Portfolio is a groundbreaking new series, published in association with the Industrial Society, which re-defines the core management skills managers and team leaders need to be competitive. Each title is action-focused blending 20th century management initiatives/trends with a new flexible skills portfolio.The Industrial Society is one of the largest public training providers in the UK. It has over 10,000 member organisations and promotes best practice through its publishing, consultancy, training and advisory services. For more information contact their website on www.indsoc.co.uk

Over the past 20 years, the field of information systems has grown dramatically in theoretical diversity and global reach. This growth is reflected in the language that policy makers and organizational stakeholders use when they talk about their IT plans. As information technology penetrates further into organizational and global life, it becomes ever more important to articulate assumptions embedded in the discourse. This will help to clarify the complex and yet conceptually improvised or pasted-up worldview that becomes embodied in systems. The assumptions point to particular domains of discourse. The discourse sets up conventions and boundaries. It thus shapes what can or cannot legitimately be talked about, researched, addressed, or solved within the scope of IT.

A number of practical and theoretical topics are discussed in detail, including:
*Globalization, development, and space;
*Mobilization of power;
*ERP systems;
*IS planning and projects;
*Critical research and the study of discourse;
*Public institutions;
*Analytical frameworks.

This book contains the selected proceedings of the Working Conference on Global and Organizational Discourse About Information Technology, sponsored by the International Federation for Information Processing (IFIP) and held in Barcelona, Spain in December 2002.

The information technology manager's role has changed significantly over the past decade. The performance of an organization is increasingly dependent on the performance of the information technology unit and its top executive. Here the author offers a fly on the wall view of the executive level activities of five Chief Information Officers (CIOs), operating in different industries. Profiles of these CIOs provide valuable insights into the strategic impact of this new role. Profiles of these CIOs, developed from over 200 hours of direct observation, provide valuable insights into the strategic impact of this new role. Other CIOs, executives, information technology researchers, information technology students in upper level or graduate courses, managers of technology and innovation, systems managers, and those interested in organizational behavior will all gain a greater understanding of the CIO's critical role within today's organizations.

The day-to-day work habits of each CIO are observed for one work week, including meetings, mail, phone calls, and travel. The CIOs represent five distinct industries: utilities, manufacturing, government agency, insurance, and university. Despite very different work cultures, all demonstrate a remarkable ability to think on their feet and remain detached from highly charged turf battles. These high tech executives have the playwright's high touch; they are keenly aware of the power of figurative language and the timing of events.

A generation of magnificent scholars, from Peter Drucker to Jack Welch, have taught us that understanding business issues and the profound changes the world's economy is undergoing makes sense if set in historical context. Today the best managers in the world demand to know how things came to be as they are. This collection of essays is designed to give the reader an historical perspective on the fastest growing sector of the work force: knowledge workers. The articles tell you how knowledge workers evolved from manufacturing and agricultural jobs and then go on to give you some insight as to what the future roles of knowledge workers will be. The readings in this volume come from a variety of sources not normally looked at by managers and business executives. There are reports from historians, sociologists, academics, and economic experts. Each chapter begins with a brief introduction on the material, its significance, and something about the context in which it was written, including brief biographical comments on the author. The Rise of the Knowledge Worker is intended for business people, managers, leaders, government employees, and students.

Addressing the effect of big data analytics-capable information systems on organizational ambidexterity, this book investigates how these systems can be used to enhance organizational agility and flexibility, generally considered to be two key determinants of organizational ambidexterity. With a focus on the opportunities for businesses rather than the burden that big data can represent, the authors highlight the impact of big data on ambidextrous organizations and how current organizational structures can be modified in order to improve big data analytics and implement big data-capable information systems.

Analytics is changing the landscape of businesses across sectors globally. This has led to the stimulation of interest of scholars and practitioners worldwide in this domain. The emergence of 'big data', has fanned the usages of machine learning techniques and the acceptance of 'Analytics Enabled Decision Making'. This book provides a holistic theoretical perspective combined with the application of such theories by drawing on the experiences of industry professionals and academicians from around the world. The book discusses several paradigms including pattern mining, clustering, classification, and data analysis to name a few. The main objective of this book is to offer insight into the process of decision-making that is accelerated and made more precise with the help of analytics.

How might one determine if a financial institution is taking risk in a balanced and productive manner? A powerful tool to address this question is economic capital, which is a model-based measure of the amount of equity that an entity must hold to satisfactorily offset its risk-generating activities. This book, with a particular focus on the credit-risk dimension, pragmatically explores real-world economic-capital methodologies and applications. It begins with the thorny practical issues surrounding the construction of an (industrial-strength) credit-risk economic-capital model, defensibly determining its parameters, and ensuring its efficient implementation. It then broadens its gaze to examine various critical applications and extensions of economic capital; these include loan pricing, the computation of loan impairments, and stress testing. Along the way, typically working from first principles, various possible modelling choices and related concepts are examined. The end result is a useful reference for students and practitioners wishing to learn more about a centrally important financial-management device.

Data is a must-have for any business looking to thrive. So is having leadership who 'get' data and use it to support their decision-making. But how do you embed the use of data and analytics across your organisation so they truly support every process end-to-end? Becoming data literate in this way is a journey that involves vision, strategy, value creation, culture and data foundations. With an evidence-based framework to guide you, this book lays out a roadmap to ensure you get where you need to go.

Innovations and developments in technology have laid the foundations for an economy based on digital goods and services-the digital economy. This book invites students and practitioners, to take an in-depth look at the impact that technological innovations such as social media, cryptocurrencies, crowdsourcing, and even online gaming is having on today's business landscape. Learn about the various business models available for the digital economy, including the business models used by Bitcoin, Spotify, Wikipedia, World of Warcraft, Facebook, and Airbnb. This book details the evolution of contemporary economics within the digital stratosphere and highlights the complex ecosystem that makes up the field of digital economics. The foundational text with case studies is also peppered with anecdotes on the various technological innovations which have shaped markets throughout history. The authors provide several models and tools that are essential for analysis, as well as activities that will allow the reader to reflect, analyze, and apply the knowledge and tools presented in each chapter. Introduction to Digital Economics is a definitive guide to the complexities and nuances of this burgeoning and fascinating field of study.

From the people who work exclusively from home to the 'portable' manager with no fixed site, the need to communicate is paramount. Mike Johnson's candid appraisal of teleworking, or telecommuting as it is also known, looks at the key benefits: for the individual it provides the opportunity to work from home; for the company it provides major savings on costs. The down side is the lack of human contact and the anxiety of employees who work away from the centre of things. The ...in brief books provide a critical 'snapshot' of the major management fashions and fads influencing business strategy. They cut through the consultants' jargon and steer a practical, common sense course through the theory and hype. They provide managers with a balanced view based on evidence rather than missionary zeal, so that they can be better informed.

If you: * need to create and build databases; work with data; design forms and reports * want to get the job done, quickly and efficiently * need a self-teaching approach * want results fast then Access 97 for Windows Made Simple is for you! By a combination of tutorial approach, with tasks to do and easy steps, the MADE SIMPLE series of Computer Books from British publisher Butterworth-Heinemann, using British authors and designed for a European audience, stands above all others.

This book captures and communicates the wealth of architecture experience Capgemini has gathered as a member of The Open Group a " a vendor- and technology-neutral consortium formed by major industry players a " in developing, deploying, and using its a oeIntegrated Architecture Frameworka (IAF) since its origination in 1993. Today, many elements of IAF have been incorporated into the new version 9 of TOGAF, the related Open Group standard. The authors, all working on and with IAF for many years, here provide a full reference to IAF and a guide on how to apply it. In addition, they describe in detail the relations between IAF and the architecture standards TOGAF and Archimate and other development or process frameworks like ITIL, CMMI, and RUP. Their presentation is targeted at architects, project managers, and process analysts who have either considered or are already working with IAF a " they will find many roadmaps, case studies, checklists, and tips and advice for their daily work.

This book collects ECM research from the academic discipline of Information Systems and related fields to support academics and practitioners who are interested in understanding the design, use and impact of ECM systems. It also provides a valuable resource for students and lecturers in the field.

Enterprise content management in Information Systems research Foundations, methods and cases consolidates our current knowledge on how today s organizations can manage their digital information assets. The business challenges related to organizational information management include reducing search times, maintaining information quality, and complying with reporting obligations and standards. Many of these challenges are well-known in information management, but because of the vast quantities of information being generated today, they are more difficult to deal with than ever. Many companies use the term enterprise content management (ECM) to refer to the management of all forms of information, especially unstructured information. While ECM systems promise to increase and maintain information quality, to streamline content-related business processes, and to track the lifecycle of information, their implementation poses several questions and challenges: Which content objects should be put under the control of the ECM system? Which processes are affected by the implementation? How should outdated technology be replaced? Research is challenged to support practitioners in answering these questions."

This book includes selected papers submitted to the ICADABAI-2017 conference, offering an overview of the new methodologies and presenting innovative applications that are of interest to both academicians and practitioners working in the area of analytics. It discusses predictive analytics applications, machine learning applications, human resource analytics, operations analytics, analytics in finance, methodology and econometric applications. The papers in the predictive analytics applications section discuss web analytics, email marketing, customer churn prediction, retail analytics and sports analytics. The section on machine learning applications then examines healthcare analytics, insurance analytics and machine analytics using different innovative machine learning techniques. Human resource analytics addresses important issues relating to talent acquisition and employability using analytics, while a paper in the section on operations analytics describe an innovative application in oil and gas industry. The papers in the analytics in finance part discuss the use of analytical tools in banking and commodity markets, and lastly the econometric applications part presents interesting banking and insurance applications.

This book covers sustainable development in smart society's 5.0 using data analytics. The data analytics is the approach of integrating diversified heterogeneous data for predictive analysis to accredit innovation, decision making, business analysis, and strategic decision making. The data science brings together the research in the field of data analytics, online information analytics, and big data analytics to synthesize issues, challenges, and opportunities across smart society 5.0. Accordingly, the book offers an interesting and insightful read for researchers in the areas of decision analytics, cognitive analytics, big data analytics, visual analytics, text analytics, spatial analytics, risk analytics, graph analytics, predictive analytics, and analytics-enabled applications.

This book presents the latest findings and ongoing research in the field of green information systems as well as green information and communication technology (ICT). It provides insights into a whole range of cross-cutting concerns in ICT and environmental sciences and showcases how information and communication technologies allow environmental and energy efficiency issues to be handled effectively. Offering a selection of extended and reworked contributions to the 30th International Conference EnviroInfo 2016, it is essential reading for anyone wanting to extend their expertise in the area.

Until now, business systems have focused on selected data within a certain context to produce information. A better approach, says Thierauf, is to take information accompanied by experience over time to generate knowledge. He demonstrates that knowledge management systems can be used as a source of power to outmaneuver business competitors. Knowledge discovery tools enable decision makers to extract the patterns, trends, and correlations that underlie the inner (and inter-) workings of a company. His book is the first comprehensive text to define this important new direction in computer technology and will be essential reading for MIS practitioners, systems analysts, and academics researching and teaching the theory and applications of knowledge management systems.

Thierauf centers on leveraging a company's knowledge capital. Indeed, knowledge is power--the power to improve customer satisfaction, marketing and production methods, financial operations, and other functions. Thierauf shows how knowledge, when developed and renewed, can be applied to a company's functional areas and provide an important competitive advantage. By utilizing some form of internal and external computer networks and providing some type of knowledge discovery software that encapsulates usable knowledge, Thierauf shows how to create an infrastructure to capture knowledge, store it, improve it, clarify it, and disseminate it throughout the organization, then how to use it regularly. His book demonstrates clearly how knowledge management systems focus on making knowledge available to company employees in the right format, at the right time, and in the right place. The result is inevitably a higher order of intelligence in decision making, more so now than could ever have been possible in even the most recent past.

Rapidly developing Artificial Intelligence (AI) systems hold tremendous potential to change various domains and exert considerable influence on societies and organizations alike. More than merely a technical discipline, AI requires interaction between various professions. Based on the results of fundamental literature and empirical research, this book addresses the management's awareness of the ethical and moral aspects of AI. It seeks to fill a literature gap and offer the management guidance on tackling Trustworthy AI Implementation (TAII) while also considering ethical dependencies within the company. The TAII Framework introduced here pursues a holistic approach to identifying systemic ethical relationships within the company ecosystem and considers corporate values, business models, and common goods aspects like the Sustainable Development Goals and the Universal Declaration of Human Rights. Further, it provides guidance on the implementation of AI ethics in organisations without requiring a deeper background in philosophy and considers the social impacts outside of the software and data engineering setting. Depending on the respective legal context or area of application, the TAII Framework can be adapted and used with a range of regulations and ethical principles. This book can serve as a case study or self-review for c-level managers and students who are interested in this field. It also offers valuable guidelines and perspectives for policymakers looking to pursue an ethical approach to AI.

Embrace data and use it to sell and market your products Data is everywhere and it keeps growing and accumulating. Companies need to embrace big data and make it work harder to help them sell and market their products. Successful data analysis can help marketing professionals spot sales trends, develop smarter marketing campaigns, and accurately predict customer loyalty. Data Driven Marketing For Dummies helps companies use all the data at their disposal to make current customers more satisfied, reach new customers, and sell to their most important customer segments more efficiently. * Identifying the common characteristics of customers who buy the same products from your company (or who might be likely to leave you) * Tips on using data to predict customer purchasing behavior based on past performance * Using customer data and marketing analytics to predict when customers will purchase certain items * Information on how data collected can help with merchandise planning * Breaking down customers into segments for easier market targeting * Building a 360 degree view of a customer base Data Driven Marketing For Dummies assists marketing professionals at all levels of business in accelerating sales through analytical insights.