Technology Acceptance in the Context of Digital Transformation


Book Description

The widespread diffusion of digital, connected objects such as smartphones or tablets as well as the increasing integration of computing and connectivity capabilities into everyday artifacts like TVs and cars have significantly changed individual behavior in recent decades: it has become the norm to interact with technology and to be connected with online resources regardless of time and place. Social interactions have increasingly become intertwined with technology, making it almost impossible to fully participate in everyday life activities without IT. As a final example, with the integration of network connectivity, digital technologies, products, and services are not used in isolation anymore, but working together as assemblages, thereby expanding the range of what they and their users can do. Overall, we have witnessed that IT has become deeply socially embedded in everyday life and routines. Understanding individual behavior has a long tradition in information systems research. However, given the fundamental changes in recent years related to technology use, it is questionable whether traditional models and theories are still applicable in the digital age. The goal of this dissertation is to address respective shortcomings. As a first step, a comprehensive review of the literature on digital transformation is performed for a better understanding of this phenomenon surrounding the changes we have witnessed regarding individual behavior. Afterwards, new concepts to explain and measure individual behavior and expectations related to connected objects are developed and examined. Furthermore, as the topic of connected objects is closely connected to the concept of personalization, a design study is performed that 1) provides an artifact to handle the efficiency-personalization trade-off in the provision of firm offerings and 2) illustrates how personalization influences the user perceptions of respective products and services. Based on the findings, a framework for the study of connected objects is synthesized and presented. Overall, the findings of this dissertation have relevant implications for research and practice in the fields of technology acceptance, digital life, and digital transformation.




Leverage Data Streams for Better Operational Decision-Making


Book Description

Smart sustainable mobility ecosystems promise to address society’s expectation of environmentally friendly on-demand mobility. While the technology stack to build such ecosystems is just around the corner in the form of connected, automated, and electric vehicles, strategies to deploy and operate such fleets in a coordinated manner must still be advanced. Most of such optimization challenges highly depend on the nature of customer demand, vehicle supply, and environmental influences. Hence, this dissertation investigates how available data streams from mobility ecosystems can be leveraged in Information Systems to solve related decision problems. The overarching goal of this work is to generate design knowledge to improve vehicle availability, provider profitability, and environmental sustainability for such ecosystems. Applying quantitative methods to real-world data from shared vehicle systems generates insights into the nature of demand and supply. Combining it with an analysis of empirical research on vehicle relocation algorithms builds the foundation for two artifact designs. The first artifact enables the development and simulation-based evaluation of operation modes for vehicle fleets. The second artifact enables artificial intelligence-based decision support for the vehicle rebalancing problem. The insights are finally incorporated and generalized to a nascent design theory on data-enabled operational decision-making in the context of smart sustainable mobility environments. The findings have multifaceted implications for researchers concerned with data-enabled value creation in Green IS, shared economy and smart mobility, and business analytics and data science. Furthermore, guidance for fleet providers to improve system attractiveness and for society to experience the potential amount of vehicle access without personal ownership is provided.




Ecoystems in the Era of Digital Innovation: Exploring the Transformational Impact of Pervasive Digital Technologies on Industrial-Age Business Contexts and Incumbent Firms


Book Description

The Internet’s emergence has significantly changed how people, communities, and societies behave, interact, and live. Today, people are accustomed to fulfilling their needs by taking advantage of giant online places for, e.g., the exchange of goods, video streaming, or social interaction. A driving force within this powerful development is represented by the growing diffusion of digital technologies. Enabled by technological advances, nearly every artifact is or can be equipped with digital technologies. With the increasing digitization and hybridization of physical objects established innovation and value commercialization logics are brought into question. Recapitulating today’s prominent players, such as Amazon, Facebook, Apple, etc., highlights the emergence of a new ecosystem philosophy in practice in which diverse third-party contributors are orchestrated via a digital platform and carefully considered in the core firms’ innovation activities. To shed light on this complex phenomena, this dissertation explores, first, the ecosystem concept and its particular relation to information systems, second, investigates the specific situation of industrial-age manufacturing contexts characterized by a physical core product that cannot be digitally substituted and, third, focusses on the specific nature of digital platform ecosystems to distill respective dimensions and characteristics.




Urban Systems Design


Book Description

Urban Systems Design: Creating Sustainable Smart Cities in the Internet of Things Era shows how to design, model and monitor smart communities using a distinctive IoT-based urban systems approach. Focusing on the essential dimensions that constitute smart communities energy, transport, urban form, and human comfort, this helpful guide explores how IoT-based sharing platforms can achieve greater community health and well-being based on relationship building, trust, and resilience. Uncovering the achievements of the most recent research on the potential of IoT and big data, this book shows how to identify, structure, measure and monitor multi-dimensional urban sustainability standards and progress. This thorough book demonstrates how to select a project, which technologies are most cost-effective, and their cost-benefit considerations. The book also illustrates the financial, institutional, policy and technological needs for the successful transition to smart cities, and concludes by discussing both the conventional and innovative regulatory instruments needed for a fast and smooth transition to smart, sustainable communities. - Provides operational case studies and best practices from cities throughout Europe, North America, Latin America, Asia, Australia, and Africa, providing instructive examples of the social, environmental, and economic aspects of "smartification - Reviews assessment and urban sustainability certification systems such as LEED, BREEAM, and CASBEE, examining how each addresses smart technologies criteria - Examines existing technologies for efficient energy management, including HEMS, BEMS, energy harvesting, electric vehicles, smart grids, and more




Big Data Science and Analytics for Smart Sustainable Urbanism


Book Description

We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms are using to generate valuable knowledge for enhanced decision-making, and deep insights pertaining to a wide variety of practical uses and applications. This book addresses the complex interplay of the scientific, technological, and social dimensions of the city, and what it entails in terms of the systemic implications for smart sustainable urbanism. In concrete terms, it explores the interdisciplinary and transdisciplinary field of smart sustainable urbanism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformative and constitutive power—manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, producing new discourses, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both smart cities and sustainable cities are studied and understood, and in how they are planned, designed, operated, managed, and governed in the face of urbanization. This relates to what has been dubbed data-driven smart sustainable urbanism, an emerging approach based on a computational understanding of city systems and processes that reduces urban life to logical and algorithmic rules and procedures, while also harnessing urban big data to provide a more holistic and integrated view or synoptic intelligence of the city. This is increasingly being directed towards improving, advancing, and maintaining the contribution of both sustainable cities and smart cities to the goals of sustainable development. This timely and multifaceted book is aimed at a broad readership. As such, it will appeal to urban scientists, data scientists, urbanists, planners, engineers, designers, policymakers, philosophers of science, and futurists, as well as all readers interested in an overview of the pivotal role of big data science and analytics in advancing every academic discipline and social practice concerned with data–intensive science and its application, particularly in relation to sustainability.




Emerging Technologies for Sustainable and Smart Energy


Book Description

Considering the alarming issue of global climate change and its drastic consequences, there is an urgent need to further develop smart and innovative solutions for the energy sector. The goal of sustainable and smart energy for present and future generations can be achieved by integrating emerging technologies into the existing energy infrastructure. This book focuses on the role and significance of emerging technologies in the energy sector and covers the various technological interventions for both conventional and unconventional energy resources and provides meaningful insights into smart and sustainable energy solutions. The book also discusses future directions for smart and sustainable developments in the energy sector.




Smart Sustainable Cities of the Future


Book Description

This book is intended to help explore the field of smart sustainable cities in its complexity, heterogeneity, and breadth, the many faces of a topical subject of major importance for the future that encompasses so much of modern urban life in an increasingly computerized and urbanized world. Indeed, sustainable urban development is currently at the center of debate in light of several ICT visions becoming achievable and deployable computing paradigms, and shaping the way cities will evolve in the future and thus tackle complex challenges. This book integrates computer science, data science, complexity science, sustainability science, system thinking, and urban planning and design. As such, it contains innovative computer–based and data–analytic research on smart sustainable cities as complex and dynamic systems. It provides applied theoretical contributions fostering a better understanding of such systems and the synergistic relationships between the underlying physical and informational landscapes. It offers contributions pertaining to the ongoing development of computer–based and data science technologies for the processing, analysis, management, modeling, and simulation of big and context data and the associated applicability to urban systems that will advance different aspects of sustainability. This book seeks to explicitly bring together the smart city and sustainable city endeavors, and to focus on big data analytics and context-aware computing specifically. In doing so, it amalgamates the design concepts and planning principles of sustainable urban forms with the novel applications of ICT of ubiquitous computing to primarily advance sustainability. Its strength lies in combining big data and context–aware technologies and their novel applications for the sheer purpose of harnessing and leveraging the disruptive and synergetic effects of ICT on forms of city planning that are required for future forms of sustainable development. This is because the effects of such technologies reinforce one another as to their efforts for transforming urban life in a sustainable way by integrating data–centric and context–aware solutions for enhancing urban systems and facilitating coordination among urban domains. This timely and comprehensive book is aimed at a wide audience across science, academia industry, and policymaking. It provides the necessary material to inform relevant research communities of the state–of–the–art research and the latest development in the area of smart sustainable urban development, as well as a valuable reference for planners, designers, strategists, and ICT experts who are working towards the development and implementation of smart sustainable cities based on big data analytics and context–aware computing.







Sustainable Development of Smart Cities Infrastructure (SDSCI-2023) (Volume-1)


Book Description

Sustainable development of smart cities infrastructures is of paramount importance and need to be planned, designed, constructed, operated and de-commissioned in a manner that ensures economic, social, environmental and institutional sustainability over the entire infrastructure life cycle. Smart cities infrastructure however be cost effective, disaster resilient, environmentally friendly, conserving natural resources, and sustainable ensuring faster delivery of quality and durable structures which include roads, building, bridges, energy and water infrastructures. Government of India is going to encourage Public Private Partnership (PPP) as an alternate option to build most of the infrastructures, which can be useful both for green-field as well as brown-field smart cities projects. The present book is a collection of contributed research and review papers presented at the ‘National Conference on Sustainable Development of Smart Cities Infrastructure’ (SDSCI-2023) held at National Institute of Technology, Kurukshetra in May 2023.The subject matter is grouped into nine sessions which include research articles pertaining to sustainable development of smart cities, urban and rural planning, transportation, built environment and management, sustainable and smart technologies, materials, construction and maintenance, advance modelling, characterization of structures, energy and environment, performance of smart cities infrastructure under extreme loading conditions, green buildings, structural health monitoring, and ICT in smart cities, data mining and machine learning for sustainable infrastructure, GIS and remote sensing, future trends and prospects of smart cities, innovative technologies, building energy and efficiency and sobriety, and sustainable resilience to natural and man-made disasters, and smart materials, etc. The book would be a valuable reference for researchers, students, structural designers, site engineers, and all related engineers involved in the field of sustainable development of smart cities infrastructure.




Sustainable Transportation and Smart Logistics


Book Description

Sustainable Transportation and Smart Logistics: Decision-Making Models and Solutions provides deterministic and probabilistic models for transportation logistics problem-solving and decision-making. The book presents an overview of the intersections between sustainability, transportation, and logistics, and delves into the current problems associated with the implementation of sustainable transportation and smart logistics in urban settings. It also offers models for addressing complex structural problems and procedures for estimating transportation externalities such as environmental and social impacts, both in industrial and government arenas, as well as decision-making models from operational, tactical, and strategic management perspectives. Sustainable Transportation and Smart Logistics also covers best practices for practical corporate policy implementation, making it a comprehensive and vital resource for researchers, graduate students, practitioners, and policy makers in transportation, logistics, urban planning, economics, engineering, and environmental science. - Examines various modes of transportation - Includes mathematical models for decision-making in a wide variety of situations - Presents public transportation and smart cities use cases