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2019 | Buch

Introduction Kapitel lesen Erstes Kapitel lesen

Business Model Innovation in the Era of the Internet of Things

Studies on the Aspects of Evaluation, Decision Making and Tooling

herausgegeben von: Jan F. Tesch

Verlag: Springer International Publishing

Buchreihe : Progress in IS

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

This book outlines an integrative framework for business-model innovation in the paradigm of the Internet of Things. It elaborates several tools and methodologies for the quantitative, qualitative, analytical and effectual evaluation, and analyzes their applicability and efficiency for several phases of the business-model innovation process. As such, it provides guidance to managers, decision-makers and entrepreneurs on how to systematically employ the business-model concept with the aim of achieving sustainable competitive advantages. For researchers the book introduces cases and examples for successful business-model innovation and presents an integrated approach to the methods and tools applied.

Inhaltsverzeichnis

Frontmatter

Foundations

Frontmatter
Introduction
Abstract
The following chapter outlines the motivation of the research endeavour, followed by concrete research gaps and research questions. Afterwards, the introduction provides an overview of the structure of the book, further elaborates on the research design and anticipated contributions.
Jan F. Tesch
Theoretical Background
Abstract
This chapter provides an overview of the foundations of the underlying theoretical concepts of business model innovation, digitalisation and IoT understanding and concludes by laying out a synthesized.
Jan F. Tesch

Decisions and Evaluation in IoT Business Model Innovation

Frontmatter
IoT Business Model Innovation and the Stage-Gate Process
An Exploratory Analysis
Abstract
Large manufacturing companies will in future be continuously challenged to develop and implement new IoT-related business models. Existing research offers interesting insights on high-level stages of business model innovation (BMI) processes in general. However, only little is known about the presence of main gates in BMI processes and even less about the underlying decision criteria applied at these gates. To shed more light on this research field, 27 expert interviews with employees from eight companies across the IoT ecosystem were conducted. The expert interviews reveal that, despite the increasing popularity of (radically) new innovation approaches, two main decision points can be identified across BMI processes. These findings are a first explorative step towards a better understanding of IoT adoption and provide a starting point for interesting future research avenues.
Jan F. Tesch, Anne-Sophie Brillinger, Dominik Bilgeri
The Evaluation Aspect of Digital Business Model Innovation
A Literature Review on Tools and Methodologies
Abstract
Despite the increasing importance of business model innovation (BMI), a lack of understanding on the evaluation aspect still exists within research. Thereby, the development of tools and methodologies for BMI lacks sufficient consideration in both theory and practice. This paper contributes by systematically reviewing present literature with an explicit focus on the applicability in digital BMI projects. The authors elaborate a categorization of tools and methodologies concerning two major logics of evaluation: analytical/effectual and quantitative/qualitative. This sheds light upon the dominant mode of evaluation within different stages of digital BMI processes.
Jan F. Tesch, Anne-Sophie Brillinger

Studies on the Roles of Tools and Methodologies in IoT BMI

Frontmatter
The Business Model Pattern Database: A Tool for Systematic BMI
Abstract
Companies are more frequently seen shifting their focus from technological innovation towards business model innovation. One efficient option for business model innovation is to learn from existing solutions, i.e., business model patterns. However, the various understandings of the business model pattern concept are often confusing and contradictory, with the available collections incomplete, overlapping, and inconsistently structured. Therefore, the rich body of literature on business model patterns has not yet reached its full potential for both practical application as well as theoretic advancement. To help remedy this, we conduct an exhaustive review, filter for duplicates, and structure the patterns along several dimensions by applying a rigorous taxonomy-building approach. The resulting business model pattern database allows for navigation to the relevant set of patterns for a specific impact on a company’s business model. It can be used for systematic business model innovation, which we illustrate via a simplified case study.
Gerrit Remané, Andre Hanelt, Jan F. Tesch, Lutz M. Kolbe
A Business Model Perspective on Innovation Susceptibility
Business Model Innovation Levers as a Tool for Systematic Ideation
Abstract
Companies nowadays face continuous changes in markets and business logics as consequence of far-reaching technological developments. Viable business models need to be designed as prerequisite of economic success. In history, companies struggled to recognize shifts in the business logic as relevant business potentials. In dynamic environments one key question for companies is how to secure future success. Companies need to be able to recognize and evaluate drivers for change that affect the business model from a strategic perspective and act upon them. This paper provides a practical approach that allows for a better identification and interpretation of innovation potential as business opportunities. A methodology for a more advanced systematization of an early business model innovation phase is introduced. The methodology has been applied and validated in a number of industrial projects and, in this paper, will be illustrated on a simplified case study.
Kirstin E. Bosbach, Jan F. Tesch, Uwe C. M. Kirschner
Profit Driving Patterns for Digital Business Models
Abstract
The constantly emerging paradigm of the Internet of Things (IoT) offers immense opportunities for innovation. In order to design business models for innovative offerings and ensure their success, business model patterns have been proven to be a viable approach, transferring analogies of past successful economic effects to new business endeavors. While past research focused on contributing to a general overview and understanding of business model patterns and their application to new businesses, this study aims at providing concrete guidance in terms of identifying and applying patterns that drive profit for a business model under development. Therefore, first a set of potentially profit driving patterns is identified. Then, based on an extensive case study at a global holding from the technology sector with representative business model initiatives, categories to consider when choosing profit driving patterns are derived as well as influencing factors, levers and prerequisites that provide guidance for the individual choice of profit driving patterns of a project.
Monika Streuer, Jan F. Tesch, Doris Grammer, Marco Lang, Lutz M. Kolbe
Customer Surveys as a Quantitative Evaluation Tool for Digital BMI
Abstract
Business model innovation (BMI) in the digital era is subject to more complex value chain networks and ecosystems which leads to an increased amount of uncertainties to deal with. Hence, well-established evaluation tools are questioned in this context. This paper examines quantitative evaluation tools and explores their role with a single case study of a company from the technology sector. Thereby, a methodological approach to incorporate conjoint analysis—exemplary to quantitative evaluation tools—is elaborated. Within the single case study, the methodological approach is applied to evaluate strategic options in a strategic stage of a digital BMI project. As a contribution to research, the paper at hand shows how quantitative evaluation tools have a tremendous impact on the development of a superior business model as a competitive advantage.
Jan F. Tesch, Miriam Lehmbrink, Gerrit Remané, Lutz M. Kolbe
Scenario Planning as a Causal Evaluation Tool for IoT Business Model Innovation
Discovering the Role of Scenario Planning as an Evaluation Methodology for Business Models in the Era of the Internet of Things (IoT)
Abstract
Within both scientific literature and practice, there is limited understanding about the evaluation aspect of business model innovation (BMI), especially in the context of digitalization and the Internet of Things (IoT). The aim of our research project is to contribute by validating whether methodologies from strategy, such as scenario planning, are appropriate means for evaluating business models in this explicit context. Following a Design Science Research (DSR) approach, we develop an approach to implement scenario planning into a BMI process respective of the features. In cooperation with business innovation employees of a well-known corporation in the technology sector, we apply the methodology to real-world innovation projects, empirically validate its viability, and determine how and to what extent it can be used. As a further result, we aim to scientifically expound its effects on creating competitive strategic advantages in the context of digitalization and the IoT.
Jan F. Tesch

Contributions

Frontmatter
Findings and Results
Abstract
This chapter summarizes the findings of the two core research questions provided in the introduction: first, describing how business model innovation may be systematically pursued in the era of the Internet of Things (IoT) and second, what role several types of evaluation tools and methodologies may cover within a firm’s endeavor to innovate business models. The studies presented in this book have a primary focus on the activities of incumbents in manufacturing physical goods.
Jan F. Tesch
Implications—An Integrative Framework for IoT Business Model Innovation
Abstract
This chapter elaborates a holistic Framework for IoT business model innovation. As a synthesis of the implications of the individual studies of this book, theoretical implications for the three research disciplines are outlined, which is followed by implications for practitioners in the field of IoT business model innovation.
Jan F. Tesch
Concluding Remarks
Abstract
This chapter summarizes limitations and avenues on future research on IoT business model innovation.
Jan F. Tesch
Backmatter
Metadaten
Titel
Business Model Innovation in the Era of the Internet of Things
herausgegeben von
Jan F. Tesch
Copyright-Jahr
2019
Electronic ISBN
978-3-319-98723-1
Print ISBN
978-3-319-98722-4
DOI
https://doi.org/10.1007/978-3-319-98723-1

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