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Business Models and Innovative Technologies for SMEs focuses on technologies such as data analytics, artificial intelligence and data as a service. As these technologies offer new possibilities, small and medium enterprises (SMEs) often struggle to grasp their full potential within evolving business landscapes. Five reviews discuss the potential of these technologies to drive SME growth. The book also highlights the need for a strategic approach to overcoming challenges faced by SMEs to create innovative business models such as limited resources, infrastructure hurdles, and financial limitations. The chapters explore diverse facets of business model innovation, covering strategic models for mobile application development, the critical role of cybersecurity culture, readiness assessments, digital transformations leveraging artificial intelligence, expert systems' impact on competitiveness, and the adoption of data as services in SMEs. Each chapter is tailored to provide actionable insights drawn from theory and, where possible, real-life case studies, addressing questions related to technological benefits, innovative strategies, and challenges in implementing digital transformations for SMEs. This book caters to a wide audience of academics, researchers, policymakers, and business practitioners deeply invested in SME development, offering practical solutions and theoretical frameworks. The combination of scholarly and practical approaches towards developing and implementing innovative strategies, makes it a valuable resource for readers seeking to understand and support SME growth. Readership Academics, Entrepreneurs, Business consultants in the SME sector.
"This book discusses the main issues, challenges, opportunities and solutions related to electronic business adoption with a special focus on SMEs, providing researchers, scholars, and professionals with some of the most advanced research developments, solutions and discussions of E-Business challenges, impacts and opportunities"--Provided by publisher.
This book presents a systematic literature review of 156 published papers on business model innovation (BMI). The aim is to identify and integrate the different theoretical perspectives, analytical levels, and empirical contexts in order to deepen understanding of this complex phenomenon. The authors conduct an inductive thematic analysis based on an informal ontological classification that identifies 56 key themes. Within each theme, discussion focuses on thematic patterns, potential inconsistencies and debates, and future directions and opportunities for research. The book makes a number of significant contributions to the field. First, it offers a deeper understanding of the evolution of research on BMI through an ontological map that identifies the key thematic areas in the literature. Second, a multilevel model is developed that clarifies the concept of BMI by identifying its drivers, contingencies, and outcomes. Third, the authors identify clear and specific directions for further research and offer suggestions on research design, creating an informative road map for the future. The book will be of value both to scholars and researchers and to practitioners.
The concept of open innovation (OI) has become a very popular topic during the last decade, with an increasing number of small- and medium-sized enterprises (SMEs) embracing OI practices to gain competitive advantage. With the majority of publications focusing on large firms, open innovation in SMEs has received scant attention from both scholars and practitioners. This book seeks to correct this imbalance by providing an in-depth study for both business managers and graduate-level students. Using rich, in-depth case studies from successful companies, it examines different approaches to managing OI in order to develop practical guidelines for implementation. It also highlights important differences between OI strategies in SMEs and large companies. Its findings will be of use to those studying or working in innovation management, open innovation, small business management and entrepreneurship.
Digital technologies have allowed for the proliferation of new business models, something that has attracted the attention of academic research. Much of this research has focused on (i) understanding what a business model is and its theoretical connection to the concept of strategy, and (ii) exploring what business model innovation is and what its sources and outcomes are. Less work has gone into studying the issues that established firms face in business model innovation – such as how to respond to the arrival of a disruptive business model in one's industry, or how to compete with dual business models or how to migrate from one business model to another. This Element approaches the topic of business model innovation from the perspective of the established firm and examines the unique strategic and organizational issues that big, established companies face when a new business model enters their markets.
This open access book explores the concept of Industry 4.0, which presents a considerable challenge for the production and service sectors. While digitization initiatives are usually integrated into the central corporate strategy of larger companies, smaller firms often have problems putting Industry 4.0 paradigms into practice. Small and medium-sized enterprises (SMEs) possess neither the human nor financial resources to systematically investigate the potential and risks of introducing Industry 4.0. Addressing this obstacle, the international team of authors focuses on the development of smart manufacturing concepts, logistics solutions and managerial models specifically for SMEs. Aiming to provide methodological frameworks and pilot solutions for SMEs during their digital transformation, this innovative and timely book will be of great use to scholars researching technology management, digitization and small business, as well as practitioners within manufacturing companies.
As technology continues to be a ubiquitous force that propels businesses to success, it is imperative that updated studies are continuously undertaken to ensure that the most efficient tools and techniques are being utilized. In the current business environment, organizations that can improve their agility and business intelligence are able to become much more resilient and viable competitors in the global economy. Achieving Organizational Agility, Intelligence, and Resilience Through Information Systems is a critical reference book that provides the latest empirical studies, conceptual research, and methodologies that enable organizations to enhance and improve their agility, competitiveness, and sustainability in order to position them for paramount success in today’s economy. Covering topics that include knowledge management, human development, and sustainable development, this book is ideal for managers, executives, entrepreneurs, IT specialists and consultants, academicians, researchers, and students.
As technology continues to evolve, existing business models become limited with respect to complexity and speed. Accordingly, significant transformation has shaped the economy and business environments in recent decades. Implementing New Business Models in For-Profit and Non-Profit Organizations: Technologies and Applications provides relevant theoretical frameworks and the latest empirical research findings on a new platform of business models and then explores the relationship between the new Business 2.0 alliance and Web 2.0.
This monograph provides a new perspective on business modeling in small and medium-sized enterprises (SMEs). It builds on the theoretical framework on innovation and revisits the Zahra and George (2002) model on absorptive capacity and other related works, such as the open innovation approach initiated by Chesbrough (2003). It also introduces a new 'open innovation bridge – a Tangram model' approach to business models that identifies the critical elements of the transactive structure of open innovation business models, especially, in the context of SMEs. The uniqueness of this book lies in the author's development of a gamification perspective and a tool to design open innovation business models.
This open access book addresses the practical challenges that Industry 4.0 presents for SMEs. While large companies are already responding to the changes resulting from the fourth industrial revolution , small businesses are in danger of falling behind due to the lack of examples, best practices and established methods and tools. Following on from the publication of the previous book ‘Industry 4.0 for SMEs: Challenges, Opportunities and Requirements’, the authors offer in this new book innovative results from research on smart manufacturing, smart logistics and managerial models for SMEs. Based on a large scale EU-funded research project involving seven academic institutions from three continents and a network of over fifty small and medium sized enterprises, the book reveals the methods and tools required to support the successful implementation of Industry 4.0 along with practical examples.