This book discusses the major trends in Business Process Automation (BPA) and explains how BPA technologies and tools are applied in practice. It introduces the students to the concepts of BPA and describes the need for automation in business process management. The book illustrates live examples of different functions of an enterprise where automation has been successfully implemented to reap business benefits. It elaborates the applications of BPA in various sectors such as HR and payroll, marketing, e-governance, knowledge management and banking. The text also discusses in detail the role of Chief Information Officer (CIO) as a change agent for designing and implementing automation initiatives. Return-on-Investment (ROI) calculations have been shown as a business case for automating business processes. Evaluation criteria for deciding which software package to be implemented have been thoroughly explained. Key Features : Provides case studies at the end of all chapters to help the students for easy understanding of the concepts discussed. Includes chapter-end questions to test students’ comprehension of the subject. Presents a glossary of technical terms. The book is designed for the postgraduate students of management. It would be useful for the professionals and practitioners for implementation of process automation in organizations as well.
The importance of benchmarking in the service sector is well recognized as it helps in continuous improvement in products and work processes. Through benchmarking, companies have strived to implement best practices in order to remain competitive in the product- market in which they operate. However studies on benchmarking, particularly in the software development sector, have neglected using multiple variables and therefore have not been as comprehensive. Information Theory and Best Practices in the IT Industry fills this void by examining benchmarking in the business of software development and studying how it is affected by development process, application type, hardware platforms used, and many other variables. Information Theory and Best Practices in the IT Industry begins by examining practices of benchmarking productivity and critically appraises them. Next the book identifies different variables which affect productivity and variables that affect quality, developing useful equations that explaining their relationships. Finally these equations and findings are applied to case studies. Utilizing this book, practitioners can decide about what emphasis they should attach to different variables in their own companies, while seeking to optimize productivity and defect density.
This book is intended as a supplement for courses in Management Information Systems (MIS). It uses cases to explain MIS concepts. It illustrates how computer-based information systems can be used to support an organization’s objectives and strategic plans. The book’s objective is to capture the material from a wide range of sectors such as health care, developmental activities, bank operations, microfinance, etc. and organize it around a framework that would be useful for students to understand how MIS can help in overcoming corporate challenges. It prepares students as managers, providing a clear focus on information, rather than data, and its use in business. These cases can also be used by practitioners as examples for designing MIS in their own organizations. For each case, the costs and benefits of the information system have been evaluated by calculating the Return on Investment (ROI). What is more, not only quantitative benefits, but also qualitative benefits (social and public benefits) have been identified to justify the need for technology-enabled MIS for supporting corporate strategies and operations. The book would be useful to students of MBA, BE (ICT), MCA and M.Sc. (Computer Science) courses. Besides, it would be of benefit to senior executives participating in Management Development Programmes.
Business process reengineering (BPR) focuses on redesigning the strategic and value-added processes which transcend the organizational boundaries. It is a cross-functional approach that requires support from almost all the departments of the organization. Business Process Reengineering: Automation Decision Points in Process Reengineering offers a new framework based process reengineering and links it to organization life cycle, process life cycle, and process management. This volume describes the fundamental concepts behind business process reengineering and examines them through case studies, and should appeal to researchers and academics interested in business process reengineering, operations strategy, and organizational restructuring and design.
This book illustrates approaches for implementing ICT in primary education. Through different initiatives and case studies, the book shows different approaches for successful implementation of ICT. While it gives details of theoretical concepts related to ICT, it also provides live examples from different initiatives as to how literacy can be achieved through customized implementation strategy. The book illustrates different ICT policies that have been implemented with varying degree of success. It also demonstrates different approaches that would be of interest to practitioners.
E-Commerce Strategy: Text and Cases provides the fundamental literature required for graduate students and practitioners to understand electronic commerce. Each chapter provides clearly designed learning objectives and review questions to highlight the major topics and goals. This book covers many of the new innovations and technologies that have been established for e-commerce site development. Unlike similar books, topics such as e-channel adoption, factors affecting e-commerce adoption, and strategy design are reviewed in greater depth. Additionally, the book examines areas not normally covered like open source, online research, and peer-to-peer systems. E-Commerce Strategy: Text and Cases is divided into two parts. Part 1 examines the evolution of e-commerce, analyzes different sectors such as B2B and m-Commerce, and explores the challenges they face. Case studies of well known companies reinforce the concepts learned to demonstrate both successes and failures in the field. Part 2 deals with developing strategies in e-Commerce and looks at future trends including Web 2.0. Overall, the useful guidelines provided should prove valuable to students and researchers in the field.
This book provides a practical approach to designing and implementing a Knowledge Management (KM) Strategy. The book explains how to design KM strategy so as to align business goals with KM objectives. The book also presents an approach for implementing KM strategy so as to make it sustainable. It covers all basic KM concepts, components of KM and the steps that are required for designing a KM strategy. As a result, the book can be used by beginners as well as practitioners. Knowledge management is a discipline that promotes an integrated approach to identifying, capturing, evaluating, retrieving, and sharing all of an enterprise's information assets. These assets may include databases, documents, policies, procedures, and previously un-captured expertise and experience in individual workers. Knowledge is considered to be the learning that results from experience and is embedded within individuals. Sometimes the knowledge is gained through critical thinking, watching others, and observing results of others. These observations then form a pattern which is converted in a ‘generic form’ to knowledge. This implies that knowledge can be formed only after data (which is generated through experience or observation) is grouped into information and then this information pattern is made generic wisdom. However, dissemination and acceptance of this knowledge becomes a key factor in knowledge management. The knowledge pyramid represents the usual concept of knowledge transformations, where data is transformed into information, and information is transformed into knowledge. Many organizations have struggled to manage knowledge and translate it into business benefits. This book is an attempt to show them how it can be done.
Since research is best learned by doing, this book emphasizes a hands-on, do-it yourself approach. The readers have many opportunities to see how business researches affect and support management decision. The book used a case study approach for all the chapters with interactive videos. The book gave emphasis to quantitative data analysis using a software program, IBM SPSS 20.0. The data analysis chapters illustrate in detail each step in running the software programs. The software programs files are provided for all data sets: outputs, demonstration movies, and screen captures are on the Website. This book provides students most extensive help available to learn quantitative data analysis using SPSS. Thus, the authors prepared this textbook and all the additional materials to help the students to understand the functional principles of business research and how to apply them in real-life situations.
Essential for students, researchers, and healthcare professionals keen on understanding the changing healthcare landscape, this work explores the shift to virtual healthcare emphasizing OHC's engagement, expertise sharing, and capacity for industry transformation, especially across tech-driven nations such as India.
This book offers an elaborate and empirical look at service quality of hospitals in the emerging market of India. The poor quality of service is a major issue in a large number of hospitals (particularly in government hospitals), which forces patients to opt for private hospitals that are generally much more expensive than government hospitals. This book provides a comprehensive understanding of service quality antecedents in Indian hospitals. It focuses on patient satisfaction and includes valuable insights and implications for hospital management and government. The book is theoretically grounded in SERVQUAL literature and uses appropriate and sophisticated techniques and tools to analyse data. It highlights causal model development with Structural Equation Modelling (SEM) and introduces a classification model, developed using Artificial Neural Networks (ANNs), in order to benchmark specialty cardiac care. The book also deals with Support Vector Machines (SVMs) and compares the error rates between SVM and ANN to find the best classification technique among the two. Overall, this book is a timely and relevant work that contributes to the theory, practice and policy of service quality in hospitals.
Organizational Culture and its Impact on Continuous Improvement in Manufacturing presents detailed insights into recent studies, providing solutions that can be scaled up at a global level.
This book examines the modules/elements required before implementing knowledge management solutions in typical manufacturing and service industry. The objective is to develop a framework, design and model suitable for all requirements and a strategy to properly implement. Related case studies from organizations are included, with the results provided to use as a solution to problems experienced when implementing knowledge management in the industry. Implementing a knowledge management system can be complex and dynamic, no matter how well planned and developed. Inevitably a degree of organizational inertia is focused on the current state rather than the new. Within an enterprise, personal and group involvement and interests process status and technology landscape can deflect the commitment needed to successfully implement such a system. Cumulative evidence from past research in knowledge management suggests that effective implementation of KM solution in any organization requires a robust designs and models for various critical elements of process, people and technology. Using the techniques provided in this book, readers should be able to design knowledge management strategies, to align objectives of the KM initiatives with their business goals.
Enabling Strategic Decision-Making in Organizations through Dataplex breaks down the role of data in strategic decision making, examining the organizational benefits but also utilising real-world examples of limitations and challenges and how these can be overcome.
Team Work Quality uses statistical analysis in order to infer how team work quality contributes towards the enhancement of creativity with respect to software organizations.
The textbook, now in its Second Edition, includes a new chapter on ERP as a Business Enabler. The text continues to provide a comprehensive coverage of business applications of management information systems in today's new era of knowledge-based economy where the value of a firm's knowledge assets has become a key source that can be leveraged into long-term benefits. The text focuses on the information systems requirements vis-à-vis management perspectives required in business environment. The technology innovations are covered, with particular emphasis on Data Management Systems, Decision Support and Expert Systems. On the other hand, several business applications such as e-commerce and mobile applications, made possible only because of continuing innovations in the field of information and communications technology (ICT) are thoroughly treated in the text. Besides, the book covers crucial issues of information security, and legal and ethical issues which are important both from the point of view of technology and business. The book uses case discussions in each chapter to help students understand MIS practices in organizations. The cases also enable students to grasp how a systemic approach to every functional aspect of management can lead to formulating technology-based strategies in line with corporate goals. Primarily intended for undergraduate and postgraduate students of management (BBA/MBA), the knowledge and information provided in this book will also be of immense value to business managers and practitioners for improving decision-making processes and achieving competitive advantage.
This book is a comprehensive guide to design and conduct the research in management-related field, such as marketing management and human resources management. It provides an overview of the real research conducted by authors throughout their careers and explains the important and growing research design used in management research-mixed method research design. Video tutorials are also included for complete qualitative data collection and data analysis. These videos are included to help readers understand the research and apply the techniques using the recommended software programs. Mixed Method Research Design: An Application in Consumer-Brand Relationships (CBR) begins with an introduction, providing background on the study including related literature in the areas of consumer-brand relationships, which helps the book to show how research questions and research objectives can be developed for the mixed method study. This is followed by a detailed explanation of the methodology, which establishes the ground rule for the study. Finally it takes look at the analysis and results of mixed method research study. Additionally the book examines the procedures of mixing of qualitative and quantitative paradigms in research both in terms of hypothesis development and testing. It helps readers understand how to design their research studies using mixed method design. It also demonstrates managerial implications, to help understand how mixed research design could be used to show contribution to the theory and practice.
Resource Allocation is the utilization of available resources in the system. This book focuses on development of models for 6 new, complex classes of RA problems in Supply Chain networks, focusing on bi-objectives, dynamic input data, and multiple performance measure based allocation and integrated allocation, and routing with complex constraints.
Appealing to business researchers, academics and practitioners, Process Automation Strategy in Services, Manufacturing and Construction brings to life the current trends in process automation and considers what the future holds.
This book examines the Capacitated Lot Sizing Problem (CLSP) in process industries. In almost all process industries, there are situations where products have short/long setup times, and the setup of the product and its subsequent production are carried over, across consecutive periods. The setup of a product is carried over across more than one successive period in the case of products having long setup times. A product having short setup has its setup time less than the capacity of the period in which it is setup. The setup is immediately followed by its production of the product and it may also be carried over, across successive time period(s). Many process industries require production of a product to occur immediately after its setup (without the presence of idle time between the setup and production of the product), and they also require the product to be continuously produced without any interruption. This book considers a single-machine, single-level and multiple-item CLSP problem. This book introduces the Capacitated Lot Sizing Problem with Production Carryover and Setup Crossover across periods (CLSP-PCSC). Mathematical models are proposed which are all encompassing that they can handle continuous manufacturing (as in process industries), and also situations where the setup costs and holding costs are product dependent and time independent/time dependent, with possible backorders, and with other appropriate adaptations. Comprehensive heuristics are proposed based on these mathematical models to solve the CLSP-PCSC. The performance of the proposed models and heuristics are evaluated using problem instances of various sizes. This book also covers mathematical models developed for the Capacitated Lot Sizing Problem with Production Carryover and Setup Crossover across periods, and with Sequence-Dependent Setup Times and Setup Costs (CLSP-SD-PCSC). These models allow the presence of backorders and also address real-life situations present in process industries such as production of a product starting immediately after its setup and its uninterrupted production carryover across periods, along with the presence of short/long setup times. Heuristics proposed for the CLSP-PCSC can be extended to address the CLSP problem with sequence dependent setup costs and setup times. All the models and heuristics proposed in this book address some real-life considerations present in process industries.
Developing an Effective Model for Detecting Trade-Based Market Manipulation determines an appropriate model to help identify stocks witnessing activities that are indicative of potential manipulation through three separate but related studies.
This book deals with complex variants of Travelling Salesman Problem (TSP) and Vehicle Routing Problem (VRP) within the manufacturing and service industries. The objective is to develop heuristics for these supply chain problems in order to offer practical solutions to improve operational efficiency. These heuristics are evaluated using benchmark and derived data-sets. Case studies pertaining to logistics in different industries including textile machinery manufacturing and banking are also included to demonstrate the created heuristics. High competition in today’s global market has forced the organizations to invest in and focus on their logistics system. The critical function of logistics is the transportation within and across various supply chain entities. Both supply and distribution procedure require effective transportation management. A small improvement in routing problems can lead to huge logistics savings in absolute terms. This book should appeal to executives, researchers and consultants seeking supply chain management solutions.
Information Strategy Design and Practices develops a framework for designing information technology strategy for an organization. Beyond this, it establishes an approach to not only implement it, but sustain it. The framework explains how IT strategy should have an alignment to business to reap the benefits of business. The book contains five case studies in different domains: retail, real estate development, IT product development, development sector, and education sector. These case studies have been applied to different countries, providing a global prospective to this emerging trend.
Big Data Analytics for the Prediction of Tourist Preferences Worldwide explores the benefits, importance and demonstrates how Big Data can be applied in predicting tourist preferences and delivering tourism services in a customer friendly manner.
This book develops an IT strategy for cloud computing that helps businesses evaluate their readiness for cloud services and calculate the ROI. The framework provided helps reduce risks involved in transitioning from traditional “on site” IT strategy to virtual “cloud computing.” Since the advent of cloud computing, many organizations have made substantial gains implementing this innovation. Cloud computing allows companies to focus more on their core competencies, as IT enablement is taken care of through cloud services. Cloud Computing and ROI includes case studies covering retail, automobile and food processing industries. Each of these case studies have successfully implemented the cloud computing framework and their strategies are explained. As cloud computing may not be ideal for all businesses, criteria are also offered to help determine if this strategy should be adopted.
Change management is a better or smarter approach to initiate a change via behavioral aspects. As it is the power to innovate which is a unique strength for companies, the need for strategies to tackle change management within the firm is evident.
This book offers a conceptual, theoretical, and empirical overview of the role of total quality management (TQM) in Indian higher education from the perspectives of the engineering faculty, students, and alumni. It identifies the critical dimensions to measure the performance of TQM. This volume conceptualizes the service quality of higher education, especially in engineering education, through empirical assessment of the services being provided to major stakeholders like the faculty, the students, and the alumni. It highlights the significance of TQM in creating success stories while discussing the importance of improved productivity and quality in higher education with respect to the quality of engineering educational institutions. Further, the book provides a complete framework for the implementation of TQM in engineering educational institutions. This book will be of interest to students, teachers, and researchers of education and management studies. It will also be useful for educationalists, education administrators, education policymakers and bureaucrats, management professionals, business leaders, and the governing bodies of higher education institutions.
Particularly in developing economies, there is a need for business alignment with innovation strategy and execution of strategies. The authors demonstrate through real-world examples and case studies how a firm can use innovation at all levels (strategic, functional and operational) to provide benefits to the entire value chain.
This book introduces the fundamental principles of understanding business requirements to apply enterprise resource planning (ERP) in order to meet business needs. The book also helps readers understand the usage of ERP for monitoring and controlling business processes, while providing practical oriented solutions to the design and implementation of ERP. Using the provided framework, a business can decide to provide more value at lower cost which increases its competitive advantage. This should be an ideal reference for executives, researchers and consultants in project management of ERP. ERP can be considered to be an integrated package of business process. The scope of ERP determines the extent of automation of business process. For example if ERP covers Human Resource (HR) and finance business processes only, then business process related HR and finance are automated. Typically business process that are automated in HR and finance employee entry and exist process, allocation of employee ID, payroll, processing , income tax planning and actual deduction etc. There is seamless flow of employee data and information is available at an effectively faster rate to take appropriate decision. As custom demand increases, there is a need to meet the changing scenario with speed and efficiency. While there is a need to increase productivity, there is also a need to reduce cost of operation. The repetitive business processes can be handled effectively by automating them and freeing human resources for meeting other uncertainties. These automations not only should be done for each department, but also should cut across different departments. Thus there is a need for automating business processes at enterprise level. This enterprise level automation started with MRP, then MRP II, ERP and then finally open source ERP have taken centre stage. Out of the standard products available in the market, an organization can chose an ERP product for implementation, depending on the features available and the total cost of ownership (TCO). This comparison helps an organization to choose the product that best suits the needs for the organization. Enterprise Resource Planning: Fundamentals of Design and Implementation highlights these concepts while discusses different good practices to design and implement ERP.
AI in Fashion Industry discusses recent developments in fashion forecasting, developing a 'framework of AI-based fashion forecasting' and validates the framework with a qualitative case study of the world's first fashion intelligence company based in Bengaluru, India.
This book gives a scientific and systematic approach to trading in developing stock markets. As professional traders do not trade purely on the basis of economic fundamentals, but also take into account market movements from other factors, knowledge of technical analysis is important to anyone who would participate successfully in the stock market.
AI in Fashion Industry discusses recent developments in fashion forecasting, developing a 'framework of AI-based fashion forecasting' and validates the framework with a qualitative case study of the world's first fashion intelligence company based in Bengaluru, India.
This book discusses the major trends in Business Process Automation (BPA) and explains how BPA technologies and tools are applied in practice. It introduces the students to the concepts of BPA and describes the need for automation in business process management. The book illustrates live examples of different functions of an enterprise where automation has been successfully implemented to reap business benefits. It elaborates the applications of BPA in various sectors such as HR and payroll, marketing, e-governance, knowledge management and banking. The text also discusses in detail the role of Chief Information Officer (CIO) as a change agent for designing and implementing automation initiatives. Return-on-Investment (ROI) calculations have been shown as a business case for automating business processes. Evaluation criteria for deciding which software package to be implemented have been thoroughly explained. Key Features : Provides case studies at the end of all chapters to help the students for easy understanding of the concepts discussed. Includes chapter-end questions to test students’ comprehension of the subject. Presents a glossary of technical terms. The book is designed for the postgraduate students of management. It would be useful for the professionals and practitioners for implementation of process automation in organizations as well.
This book examines the modules/elements required before implementing knowledge management solutions in typical manufacturing and service industry. The objective is to develop a framework, design and model suitable for all requirements and a strategy to properly implement. Related case studies from organizations are included, with the results provided to use as a solution to problems experienced when implementing knowledge management in the industry. Implementing a knowledge management system can be complex and dynamic, no matter how well planned and developed. Inevitably a degree of organizational inertia is focused on the current state rather than the new. Within an enterprise, personal and group involvement and interests process status and technology landscape can deflect the commitment needed to successfully implement such a system. Cumulative evidence from past research in knowledge management suggests that effective implementation of KM solution in any organization requires a robust designs and models for various critical elements of process, people and technology. Using the techniques provided in this book, readers should be able to design knowledge management strategies, to align objectives of the KM initiatives with their business goals.
Big Data Analytics for the Prediction of Tourist Preferences Worldwide explores the benefits, importance and demonstrates how Big Data can be applied in predicting tourist preferences and delivering tourism services in a customer friendly manner.
Information Strategy Design and Practices develops a framework for designing information technology strategy for an organization. Beyond this, it establishes an approach to not only implement it, but sustain it. The framework explains how IT strategy should have an alignment to business to reap the benefits of business. The book contains five case studies in different domains: retail, real estate development, IT product development, development sector, and education sector. These case studies have been applied to different countries, providing a global prospective to this emerging trend.
This book gives a scientific and systematic approach to trading in developing stock markets. As professional traders do not trade purely on the basis of economic fundamentals, but also take into account market movements from other factors, knowledge of technical analysis is important to anyone who would participate successfully in the stock market.
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