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Richard Henry Nacke  &
Christoph Seckler (2023)

How to Invest in the Future of Food: An Exploration Design Science Project

International Conference on Design Science Research in Information Systems and Technology

The food production sector is one of the largest industries globally, yet it is confronted with significant challenges. While food tech startups are viewed as a promising means of addressing some of these obstacles, they frequently encounter the issue of being highly research-intensive and risky investments. In this project, we pose the following question: How can we effectively design investment vehicles and strategies to support food tech startups? To address this question, we undertook an exploration design science research project. In collaboration with a corporate venture fund, we initially explored opportunities and subsequently developed a solution design for one of the most promising prospects. This study contributes to the body of design knowledge in three primary ways. Firstly, it contributes by providing a situated artifact that outlines the design of a closed-ended deep science food tech fund engaged in production and input supply. Secondly, it contributes by establishing design principles for investment vehicles and strategies in ventures that are highly research-intensive and risky. Lastly, this study makes a methodological contribution by showcasing how a methodology for addressing exploration design science projects could look like.

Essen greifen

Christoph Seckler, René Mauer, &
Jan vom Brocke (2023)

A Design Science Methodology for Entrepreneurship Research

Research Gate - Conference: Academy of Management

Entrepreneurship scholars increasingly embrace the design science approach. While established design science methodologies from other fields have distinct strengths, they provide little guidance for a particularly relevant type of design science project for entrepreneurship scholars, namely exploration projects. In this article, we propose a methodology for exploration projects which we refer to as the infinity methodology. The infinity methodology builds on scientific knowledge of the entrepreneurial process, design science activities, and principles. More specifically, the infinity methodology guides scholars through two interrelated entrepreneurial cycles (i.e., opportunity exploration and exploitation), each of which involves three key design science activities (i.e., analysis, design, and evaluation). The infinity methodology makes a unique contribution to the methodological repertoire of design science scholars and provides a common framework for publishing design science in entrepreneurship.

Bei der Arbeit

Daniel Knapp, Christoph Seckler, &
Jan vom Brocke (2023)

Creativity in Design Science Research: how to use divergent and convergent methods effectively

18th International Conference on Design Science Research in Information Systems and Technology

While many recognize the relevance of creativity in design science, there is a lack of guidance in the field on how to use creativity methods effectively. In this article, we draw on the creativity literature to provide guidance on choosing effective creativity methodsin the DSR process. A Creativity-MethodsFit Framework suggests that the fit of creativity methods depends on the structuredness of the problem and the solution space. Furthermore, it outlines which divergent and convergent creativity methods should be used. This paper contributes in two main ways. First, the framework provides guidance on the use of creativity methods in DSR. Second, the paper complements previous frameworks discussing fitting evaluation methods, by introducing the notion of fitting creativity methods to the DSR discourse.


Alan R. Hevner &
Jan vom Brocke (2023)

A Proficiency Model for Design Science Research Education

Journal of Information Systems Education

Design science research (DSR) produces knowledge via the design and evaluation of innovative solutions to real-world problems. DSR provides an improved understanding of how and why the solutions work. While DSR is being widely embraced in many research disciplines, its educational pedagogy so far remains immature with little guidance on how best to inform and train various audiences on relevant and rigorous DSR skillsets. Grounded on the authors’ wide experience in designing and delivering DSR courses over the past decades, we develop a “DSR Proficiency Model” to highlight key skills required to succeed in planning, applying, and communicating DSR. We recognize the different educational environments and student backgrounds that DSR courses must accommodate and provide actionable guidance for mapping the proficiency model to academic, training, and executive audiences. Informative examples demonstrate how we have structured DSR curricula for different academic and executive education programs.


Jolanda Burgers-Pas & 
Christoph Seckler (2022)

How to Make Smart Collaboration Work in Multidisciplinary Teams

A key capability to work in multidisciplinary teams is smart collaboration. While previous research has elaborated on starting smart collaboration in firms, less is known about how to move smart collaboration from initial starting projects towards excellent implementation. In this design science project, we address this question and develop design knowledge on how to move smart collaboration from good to great in a firm working with multidisciplinary teams. We outline a situated artifact for the collaborating firm (i.e., The Firm) and infer more general design principles based on this study. This study contributes in three ways. First, it develops a situated artifact for improving smart collaboration in a firm relying on multidisciplinary teams. Second, it develops more general design principles on improving smart collaboration in professional service firms. Third, it provides initial empirical evidence for the quality of the proposed design object.

Team Putting Fäuste zusammen in der Huddle

Ari Hyytinen, Petri Rouvinen, Mika Pajarinen, & Joosua Virtanen (2022)

Ex Ante Predictability of Rapid Growth: A Design Science Approach

We examine how machine learning (ML) predictions of high-growth enterprises (HGEs) help a budget-constrained venture capitalist source investments for a fixed size portfolio. Applying a design science approach, we predict HGEs 3 years ahead and focus on decision (not statistical) errors, using an accuracy measure relevant to the decision-making context. We find that when the ML procedure adheres to the budget constraint and maximizes the accuracy measure, nearly 40% of the HGE predictions are correct. Moreover, ML performs particularly well where it matters in practice—in the upper tail of the distribution of the predicted HGE probabilities.


Stephen X. Zhang &
Elco Van Burg (2019)

Advancing entrepreneurship as a design science: developing additional design principles for effectuation

Small Business Economics

Scholars have advocated the development of entrepreneurship as a design science. One foundational challenge in a design science is to identify design principles. We argue that a particular field can draw on a design knowledge from different design sciences to develop design principles. In particular, we show that entrepreneurship research can learn from one branch of artificial intelligence studies called “genetic algorithm,” which is a design field that creates solutions for complex, nonanalytical, and ill-structured problems. We illustrate the analogous transfer process by identifying complementary design principles for one exemplary entrepreneurship theory, namely effectuation. In turn, these additional effectual design principles further effectuation theory as a design science and help advance entrepreneurship as a nascent design science.


Andrea Giessmann &
Christine Legner (2016)

Designing business models for cloud platforms

Information Systems Journal

Platform as a service (PaaS) has become a strategic option for software vendors who expect to benefit from value co-creation with partners by developing complementary components and applications. In reality, however, established and new software vendors are battling to redefine their offering to embrace PaaS. They face the challenges of transforming, configuring and calibrating their PaaS business models to align them with existing business models, customer expectations and competitive pressures. This motivates our research question: How can software providers design viable business models for PaaS? Our study develops a design theory for PaaS business models. This theory is grounded on a 12-month action design research study at one of the largest global software companies (here called Alpha) with mixed PaaS experiences in the past. Our primary research contribution is a set of design principles that guide software providers to define a viable PaaS business model in order to create a flourishing software eco- system for their cloud platform. By synthesizing prescriptive knowledge related to business model design for emerging cloud platforms, our study advances PaaS research towards the existing body of research on software platforms and business models.

Zusammen arbeiten

Christoph Seckler, René Mauer, &
Jan vom Brocke (2023)

Design science in entrepreneurship: Conceptual foundations and guiding principles

Journal of Business Venturing Design


Design science in the entrepreneurship field holds the promise of developing relevant knowledge with scientific rigor. Yet despite the promise of this approach, the entrepreneurship field still lacks guidance on how to plan, conduct, and assess design science work. In order to develop theoretically grounded principles, we first make our perspective on design science explicit. We characterize design science in entrepreneurship as a specific scientific approach that shares the values of practice (i.e., usefulness) and uses the methods of science (i.e., scientific method plus more specific, scrutable methods). We conceptualize design knowledge as a body of scientific knowledge that comprises both design object knowledge (e.g., situated artifact, and design principles), and design evaluation knowledge (e.g., usefulness, and social worth). Drawing on these foundations, we provide guidance on (1) how to make design knowledge contributions explicit, (2) how to position design science work, (3) how to effectively utilize prior knowledge, and (4) how to use fitting methods in design science work. The article contributes by further developing the conceptual foundations of design science in entrepreneurship and providing guidance on how to conduct and assess design science work in the entrepreneurship field.

kreative Arbeits

Ali Aslan Gümüsay (2023)

Management Scholars of the World, Unite!

Organization Studies

The debate about the relevance of management scholarship is not new (Nicolai & Seidl, 2010). Many would attest to our societal impact through our manifold activities: teaching, consulting, outreach—and our research on topics such as grand challenges. Yet, when we look at, say, economists, they have more visibility and impact. Clearly, there is room for improvement. How then can we as management scholars organize ourselves better to collectively achieve more relevance with our research?


Dimo Dimov, Markku Maula,  &
A. Georges L. Romme (2023)

Crafting and Assessing Design Science Research for Entrepreneurship


Entrepreneurship Theory and Practice


Recognizing the importance of various types of artifacts for entrepreneurship, design science (DS) has been proposed as an inclusive approach that combines relevance and rigor. By enabling researchers to go beyond their traditional roles as observers and analysts of established artifacts to help design new artifacts, DS can improve the relevance of entrepreneurship research. However, there is a paucity of knowledge on how this type of research can be published in leading entrepreneurship journals. In this editorial, we seek to provide practical guidance on how to craft and assess DS studies that target Entrepreneurship Theory & Practice (ETP) and other top-tier journals.


Sophia Marie Braun & 
René Mauer (2022)

Market of Makers – How to Promote Corporate Entrepreneurship with an Effectuation Intervention

International Conference on Design Science Research in Information Systems and Technology

Corporate entrepreneurship is a challenge for organizations and their employees, for example because of structural rigidities or inertia. A promising approach of how to spark corporate entrepreneurship lies in effectuation research. Effectuation is a mode of action or decision-making logic that is based on empirical evidence from expert entrepreneurs. Following a Design Science Research (DSR) methodology, we develop and implement an effectuation intervention at a German multinational corporation. The intervention consists of two basic parts: The Market of Makers, an event that leads participants through the effectual process, and the Speedboat Regatta, a 3-months long project development phase. The intervention successfully generated 23 projects that identified opportunities for process innovation. This study contributes to design knowledge, theory and practice. First, we designed a blueprint for similar effectuation interventions and are able to formulate four design principles, which show how voluntariness, playfulness, and constraints enable effectuation and promote corporate entrepreneurship. Second, we contribute to corporate entrepreneurship theory by showing that effectuation is promising for approaching corporate entrepreneurship’s theoretical and empirical problems. Third, we contribute to practice by demonstrating that interventions based on effectuation may shift employees towards leading and engaging with innovative projects.

Zeichnen auf einem Brett

Simon David Arsenidis & 
Christoph Seckler (2022)

Developing an Innovation Accounting System for a Professional Service Firm: A Design Science Research Project

This paper reports on a design science project developing an innovation accounting system for a professional service firm. Innovation accounting is an approach to track the progress of innovation activities. Although the subject of study has a defined product innovation process, there is a lack of measurable information on the outcomes of innovation activities. This implies a blind spot in the effective allocation of resources in innovation activities. In this paper a design science approach is used to bridge the existing concepts on innovation accounting and the needs of user groups. The output of the paper is a conceptual solution design for an innovation accounting system in the context of the product innovation process for a professional service firm. The learnings from the study are transferred into design propositions by using the CIMO-logic. This paper contributes to the body of design knowledge on innovation accounting in professional service firms.


Violina P. Rindova &
Luis L. Martins

The goal of strategy is not only to address a given environment, but also to change it to a firm’s advantage. In this article, we maintain that design science provides a useful theoretical foundation for understanding the development of novel strategies by shifting strategists’ perspective from what is to what could be, from the past and present to the future, and from choosing among existing alternatives to discovering new problems and solutions. We propose a structured process based on design mechanisms, which enables strategists to overcome the impediments to generating novel strategies that have been identified in prior research. The process we theorize integrates (a) strategists’ shaping intentions to transform an existing situation into a preferred one, (b) discovery-oriented exploration of problems and solutions based on designing without final goals, and (c) stakeholder dialogue to validate and extend novelty and value. Our ideas extend the micro-foundations of strategy with respect to the generation of strategic foresight and shaping intentions, as well as the work at the intersection of stakeholder strategies and complex societal problems.

Image by Jo Szczepanska

Henrik Berglund, Dimo Dimov, &
Karl Wennberg (2018)

Beyond bridging rigor and relevance: The three-body problem in entrepreneurship

Journal of Business Venturing Insights

If we have two bodies that interact gravitationally, and we know their positions and velocities at a given point in time, it is possible to predict all their future positions. However, the introduction of a third body surprisingly leads to a problem that is analytically unsolvable. This suggests that if we have a system of two bodies that are unsettled with respect to one another, there may be a hidden third body lurking around that, if identified and understood, could help us make better sense of the system as a whole. While metaphors should be used with care, the three-body problem can help illuminate a pressing epistemological issue within our own discipline.

Mit Blick auf die Kampagne
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