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This book takes an in-depth look at consumer behavior in the context of multichannel commerce and explores how the convergence of physical and electronic channels influences consumer decision-making in a multichannel environment. In this regard, it goes far beyond explaining choices between online and offline sales channels, instead providing insights into how the interplay between different channel types is valued by different consumer types and for different products. The book extends previous conceptualizations of multichannel commerce to reflect and incorporate recent technological advances. The results provide valuable guidelines on how, why and when multichannel integration services can be exploited by classical retailers, helping them to compete with their purely online competitors on the internet.
This monograph discusses challenges faced during the implementation of national eHealth programs. In particular, it analyzes the causes of stakeholders’ reluctance to adopt these technologies by drawing on user resistance theory and context specific variables. Taking the example of the introduction of the electronic health card (Elektronische Gesundheitskarte – eGK) technology in Germany, the book presents insights into why these programs are often lengthy, costly and have previously been met with fierce resistance from key stakeholders. It also presents a quantitative and qualitative study of individual physicians' resistance behavior towards these new eHealth technologies.
Sharing instead of owning is one of the major trends in modern (business) life. By changing how people consume, the rise of the sharing economy has the potential to redefine the role of owners, consumers and producers, change their mode of transaction, create innovative business models, disrupt existing industries, and challenge political and regulative institutions. In addition to these practical implications, the sharing economy phenomenon represents a novel playground for theoretical advancement, attracting a multitude of research and researchers from different disciplines. While this can potentially open up new avenues for practice and theory to stimulate each other, they do not seem to ...
Given rising electricity consumption, coupled with finite resources, and a growing awareness surrounding sustainable energy, ICT-enabled electrical networks such as smart grids are increasingly being deployed by energy companies. One aspect of smart grids is smart meter technology (SMT), which are sophisticated digital electrical meters, having the potential to increase energy efficiency in both residential and industrial sectors. However, a challenge to SMT-implementation in residential settings has been its successful adoption by consumers. As many cases in the US, and other parts of the world highlight, such implementation projects have run into resistance from the consumers. Despite these challenges, little research has been conducted on this topic. This study is one of the first that attempts to fill that void by empirically examining the antecedents of SMT adoption amongst potential customers and a group of SMT users. Specifically, this study developed a model surrounding consumers’ intention to adopt and use SMT, by drawing on theories of adoption and motivational psychology and also by including a set of context-specific variables.
This book develops, evaluates and refines a cloud service relationship theory that explains how cloud users’ uncertainties arise in these relationships and how they can be mitigated. To that end, the book employs principal-agent theory and the concepts of bounded rationality and social embeddedness. Beyond advancing IS research, the findings presented can greatly benefit governments, IT departments and IT providers, helping them to better understand cloud service relationships and to adjust their cloud service strategies accordingly.
This open access book provides a broad range of insights on market engineering and information management. It covers topics like auctions, stock markets, electricity markets, the sharing economy, information and emotions in markets, smart decision-making in cities and other systems, and methodological approaches to conceptual modeling and taxonomy development. Overall, this book is a source of inspiration for everybody working on the vision of advancing the science of engineering markets and managing information for contributing to a bright, sustainable, digital world. Markets are powerful and extremely efficient mechanisms for coordinating individuals’ and organizations’ behavior in a c...
Moderne Informations- und Kommunikationssysteme leisten einen wesentlichen Beitrag zum Erfolg vieler Unternehmen in einer immer stärker vernetzten Wirtschaft. Darüber hinaus besitzen sie auch bei der Vernetzung von Betrieben mit öffentlichen Verwaltungen sowie effizienten Verwaltungsprozessen große Bedeutung und sind zunehmend auch im privaten Bereich relevant. Mit der alle zwei Jahre stattfindenden Multikonferenz Wirtschaftsinformatik gibt es im regelmäßigen Rhythmus einen Treffpunkt, bei dem die neuesten wissenschaftlichen Entwicklungen der Wirtschaftsinformatik im breiten Rahmen präsentiert werden und auch ein Austausch mit der Praxis erfolgt. Die Tagung im Jahr 2010 spannt einen Bogen von aktuellen Herausforderungen des Informationsmanagements über die Weiterentwicklung ausgewählter Techniken und Methoden der Wirtschaftsinformatik zu dem breiten Feld der Anwendungen. Ziel der Veranstaltung ist es, mit Vorträgen und Diskussionen sowohl innerhalb dieser Themenfelder als auch themenübergreifend den Austausch der wissenschaftlichen Fachgruppen zu fördern und die Diskussion mit der Praxis anzuregen.
Digital forensics is the science of detecting evidence from digital media like a computer, smartphone, server, or network. It provides the forensic team with the most beneficial methods to solve confused digital-related cases. AI and blockchain can be applied to solve online predatory chat cases and photo forensics cases, provide network service evidence, custody of digital files in forensic medicine, and identify roots of data scavenging. The increased use of PCs and extensive use of internet access, have meant easy availability of hacking tools. Over the past two decades, improvements in the information technology landscape have made the collection, preservation, and analysis of digital ev...
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The model-based approach for carrying out the classification and identification of tasks has led to progression of the machine learning paradigm in diversified fields of technology. Deep Learning Applications in Operations Research presents the varied applications of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomenon. Such fields as object classification, speech recognition, and face detection have sought extensive applications of artificial intelligence (AI) and machine learning as well. The application of AI and ML has also become increasingly common in the domains ...