This page has only limited features, please log in for full access.

Unclaimed
Matthias Mueller
University of Hohenheim

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Review
Published: 28 June 2021 in Journal of Agricultural and Environmental Ethics
Reads 0
Downloads 0

Successful transitions to a sustainable bioeconomy require novel technologies, processes, and practices as well as a general agreement about the overarching normative direction of innovation. Both requirements necessarily involve collective action by those individuals who purchase, use, and co-produce novelties: the consumers. Based on theoretical considerations borrowed from evolutionary innovation economics and consumer social responsibility, we explore to what extent consumers’ scope of action is addressed in the scientific bioeconomy literature. We do so by systematically reviewing bioeconomy-related publications according to (i) the extent to which consumers are regarded as passive vs. active, and (ii) different domains of consumer responsibility (depending on their power to influence economic processes). We find all aspects of active consumption considered to varying degrees but observe little interconnection between domains. In sum, our paper contributes to the bioeconomy literature by developing a novel coding scheme that allows us to pinpoint different aspects of consumer activity, which have been considered in a rather isolated and undifferentiated manner. Combined with our theoretical considerations, the results of our review reveal a central research gap which should be taken up in future empirical and conceptual bioeconomy research. The system-spanning nature of a sustainable bioeconomy demands an equally holistic exploration of the consumers’ prospective and shared responsibility for contributing to its coming of age, ranging from the procurement of information on bio-based products and services to their disposal.

ACS Style

Ulrich Wilke; Michael P. Schlaile; Sophie Urmetzer; Matthias Mueller; Kristina Bogner; Andreas Pyka. Time to Say ‘Good Buy’ to the Passive Consumer? A Conceptual Review of the Consumer in the Bioeconomy. Journal of Agricultural and Environmental Ethics 2021, 34, 1 -35.

AMA Style

Ulrich Wilke, Michael P. Schlaile, Sophie Urmetzer, Matthias Mueller, Kristina Bogner, Andreas Pyka. Time to Say ‘Good Buy’ to the Passive Consumer? A Conceptual Review of the Consumer in the Bioeconomy. Journal of Agricultural and Environmental Ethics. 2021; 34 (4):1-35.

Chicago/Turabian Style

Ulrich Wilke; Michael P. Schlaile; Sophie Urmetzer; Matthias Mueller; Kristina Bogner; Andreas Pyka. 2021. "Time to Say ‘Good Buy’ to the Passive Consumer? A Conceptual Review of the Consumer in the Bioeconomy." Journal of Agricultural and Environmental Ethics 34, no. 4: 1-35.

Original paper
Published: 27 March 2021 in Review of Evolutionary Political Economy
Reads 0
Downloads 0

Network dynamics, economic transformation, and policy design are closely related phenomena that influence the performance of economic systems in a variety of ways. In this introductory paper, we set the stage for a series of excellent contributions addressing some still largely unexplored questions in this research field. At the core of our introduction, we provide a contextual structuration and classification of the contributions to this special issue. Finally, we address some contemporary issues that deserve some attention since they open up highly interesting opportunities for future research.

ACS Style

Muhamed Kudic; Matthias Müller; Tobias Buchmann; Andreas Pyka; Jutta Günther. Network dynamics, economic transition, and policy design—an introduction. Review of Evolutionary Political Economy 2021, 2, 1 -8.

AMA Style

Muhamed Kudic, Matthias Müller, Tobias Buchmann, Andreas Pyka, Jutta Günther. Network dynamics, economic transition, and policy design—an introduction. Review of Evolutionary Political Economy. 2021; 2 (1):1-8.

Chicago/Turabian Style

Muhamed Kudic; Matthias Müller; Tobias Buchmann; Andreas Pyka; Jutta Günther. 2021. "Network dynamics, economic transition, and policy design—an introduction." Review of Evolutionary Political Economy 2, no. 1: 1-8.

Journal article
Published: 01 January 2021 in Journal of Artificial Societies and Social Simulation
Reads 0
Downloads 0
ACS Style

Ben Vermeulen; Matthias Müller; Andreas Pyka. Social Network Metric-Based Interventions? Experiments with an Agent-Based Model of the COVID-19 Pandemic in a Metropolitan Region. Journal of Artificial Societies and Social Simulation 2021, 24, 1 .

AMA Style

Ben Vermeulen, Matthias Müller, Andreas Pyka. Social Network Metric-Based Interventions? Experiments with an Agent-Based Model of the COVID-19 Pandemic in a Metropolitan Region. Journal of Artificial Societies and Social Simulation. 2021; 24 (3):1.

Chicago/Turabian Style

Ben Vermeulen; Matthias Müller; Andreas Pyka. 2021. "Social Network Metric-Based Interventions? Experiments with an Agent-Based Model of the COVID-19 Pandemic in a Metropolitan Region." Journal of Artificial Societies and Social Simulation 24, no. 3: 1.

Chapter
Published: 22 December 2020 in Innovation Networks for Regional Development
Reads 0
Downloads 0

In this article, we develop a new way to capture knowledge diffusion and assimilation in innovation networks by means of an agent-based simulation model. The model incorporates three essential characteristics of knowledge that have not been covered entirely by previous diffusion models: the network character of knowledge, compatibility of new knowledge with already existing knowledge, and the fact that transmission of knowledge requires some form of attention. We employ a network-of-networks approach, where agents are located within an innovation network and each agent itself contains another network composed of knowledge units (KUs). Since social learning is a path-dependent process, in our model, KUs are exchanged among agents and integrated into their respective knowledge networks depending on the received KUs’ compatibility with the currently focused ones. Thereby, we are also able to endogenize attributes such as absorptive capacity that have been treated as an exogenous parameter in some of the previous diffusion models. We use our model to simulate and analyze various scenarios, including cases for different degrees of knowledge diversity and cognitive distance among agents as well as knowledge exploitation versus exploration strategies. Here, the model is able to distinguish between two levels of knowledge diversity: heterogeneity within and between agents. Additionally, our simulation results give fresh impetus to debates about the interplay of innovation network structure and knowledge diffusion. In summary, our article proposes a novel way of modeling knowledge diffusion, thereby contributing to an advancement of the economics of innovation and knowledge.

ACS Style

Michael P. Schlaile; Johannes Zeman; Matthias Mueller. It’s a Match! Simulating Compatibility-based Learning in a Network of Networks. Innovation Networks for Regional Development 2020, 99 -140.

AMA Style

Michael P. Schlaile, Johannes Zeman, Matthias Mueller. It’s a Match! Simulating Compatibility-based Learning in a Network of Networks. Innovation Networks for Regional Development. 2020; ():99-140.

Chicago/Turabian Style

Michael P. Schlaile; Johannes Zeman; Matthias Mueller. 2020. "It’s a Match! Simulating Compatibility-based Learning in a Network of Networks." Innovation Networks for Regional Development , no. : 99-140.

Chapter
Published: 22 December 2020 in Innovation Networks for Regional Development
Reads 0
Downloads 0

This paper presents an exploratory memetic perspective on the diffusion pattern of the ALS Ice Bucket Challenge. More precisely, the paper contributes to research on social learning, cultural evolution, and social contagion by shedding light on endogenous (meme-related) as well as exogenous (structural) properties that may have influenced the Ice Bucket Challenge’s diffusion. In a first pillar, we present a descriptive memetic analysis of the diffusion pattern, including an evaluation of the Ice Bucket Challenge according to memetic criteria for successful replication. In the second pillar, we present an agent-based simulation model designed to illuminate the influence of particular social network characteristics on the Ice Bucket Challenge’s diffusion. By combining these two pillars, we contribute to the advancement of memetic theory, narrowing the gap between a solely meme-centered perspective and social network analysis.

ACS Style

Michael P. Schlaile; Theresa Knausberg; Matthias Mueller; Johannes Zeman. Viral Ice Buckets: A Memetic Perspective on the ALS Ice Bucket Challenge’s Diffusion. Innovation Networks for Regional Development 2020, 141 -180.

AMA Style

Michael P. Schlaile, Theresa Knausberg, Matthias Mueller, Johannes Zeman. Viral Ice Buckets: A Memetic Perspective on the ALS Ice Bucket Challenge’s Diffusion. Innovation Networks for Regional Development. 2020; ():141-180.

Chicago/Turabian Style

Michael P. Schlaile; Theresa Knausberg; Matthias Mueller; Johannes Zeman. 2020. "Viral Ice Buckets: A Memetic Perspective on the ALS Ice Bucket Challenge’s Diffusion." Innovation Networks for Regional Development , no. : 141-180.

Journal article
Published: 14 February 2020 in Journal of Business Research
Reads 0
Downloads 0

This paper studies the impact of the structure of technological knowledge on the collaborative knowledge discovery process. We employ a complex adaptive systems perspective and develop an agent-based model in which firms seek to discover new knowledge by combining previously discovered knowledge. Firms may collaborate with other firms to access a more diverse knowledge base. We experimentally vary the structural properties of the technological knowledge landscape and firm characteristics to study the rate of discovery, propensity to collaborate, and emerging structure of the network of firms. Conceptual interpretations of the simulation results underline the significance of inter-firm R&D collaboration, particularly for specialized firms. We also find that varying the research scope of a firm reveals a trade-off between an individual and the collective perspective, pointing at a systemic failure. Finally, our results provide a complementary explanation for the theoretically desirable cognitive distance between economic actors.

ACS Style

Matthias Müller; Muhamed Kudic; Ben Vermeulen. The influence of the structure of technological knowledge on inter-firm R&D collaboration and knowledge discovery: An agent-based simulation approach. Journal of Business Research 2020, 129, 570 -579.

AMA Style

Matthias Müller, Muhamed Kudic, Ben Vermeulen. The influence of the structure of technological knowledge on inter-firm R&D collaboration and knowledge discovery: An agent-based simulation approach. Journal of Business Research. 2020; 129 ():570-579.

Chicago/Turabian Style

Matthias Müller; Muhamed Kudic; Ben Vermeulen. 2020. "The influence of the structure of technological knowledge on inter-firm R&D collaboration and knowledge discovery: An agent-based simulation approach." Journal of Business Research 129, no. : 570-579.

Journal article
Published: 07 February 2019 in Regional Studies
Reads 0
Downloads 0
ACS Style

Andreas Pyka; Muhamed Kudic; Matthias Müller. Systemic interventions in regional innovation systems: entrepreneurship, knowledge accumulation and regional innovation. Regional Studies 2019, 53, 1321 -1332.

AMA Style

Andreas Pyka, Muhamed Kudic, Matthias Müller. Systemic interventions in regional innovation systems: entrepreneurship, knowledge accumulation and regional innovation. Regional Studies. 2019; 53 (9):1321-1332.

Chicago/Turabian Style

Andreas Pyka; Muhamed Kudic; Matthias Müller. 2019. "Systemic interventions in regional innovation systems: entrepreneurship, knowledge accumulation and regional innovation." Regional Studies 53, no. 9: 1321-1332.

Journal article
Published: 22 September 2018 in Cognitive Systems Research
Reads 0
Downloads 0

This paper presents an exploratory memetic perspective on the diffusion pattern of the ALS Ice Bucket Challenge. More precisely, the paper contributes to research on social learning, cultural evolution, and social contagion by shedding light on endogenous (meme-related) as well as exogenous (structural) properties that may have influenced the Ice Bucket Challenge’s diffusion. In the first pillar, we present a descriptive memetic analysis of the diffusion pattern, including an evaluation of the Ice Bucket Challenge according to memetic criteria for successful replication. In the second pillar, we present an agent-based simulation model designed to illuminate the influence of particular social network characteristics on the Ice Bucket Challenge’s diffusion. By combining these two pillars, we contribute to the advancement of memetic theory, narrowing the gap between a solely meme-centered perspective and social network analysis.

ACS Style

Michael P. Schlaile; Theresa Knausberg; Matthias Mueller; Johannes Zeman. Viral ice buckets: A memetic perspective on the ALS Ice Bucket Challenge’s diffusion. Cognitive Systems Research 2018, 52, 947 -969.

AMA Style

Michael P. Schlaile, Theresa Knausberg, Matthias Mueller, Johannes Zeman. Viral ice buckets: A memetic perspective on the ALS Ice Bucket Challenge’s diffusion. Cognitive Systems Research. 2018; 52 ():947-969.

Chicago/Turabian Style

Michael P. Schlaile; Theresa Knausberg; Matthias Mueller; Johannes Zeman. 2018. "Viral ice buckets: A memetic perspective on the ALS Ice Bucket Challenge’s diffusion." Cognitive Systems Research 52, no. : 947-969.

Journal article
Published: 21 September 2018 in Journal of Open Innovation: Technology, Market, and Complexity
Reads 0
Downloads 0

Innovation policy and business strategy often expect that investing in private and public research and development will immediately produce a flow of products and processes with high commercial and social returns. Policymakers and managers implicitly follow the logic underlying most linear innovation models assuming a well-defined and uni-directional relationship between R&D spending as input and innovation rents as output of the innovation process. Modern innovation economics dismisses the simplified approximation of knowledge by R&D investment and, instead, considers complex knowledge generation and diffusion processes in innovation networks. From this angle, the disappointing performance of traditional approaches is traced back to strong limits of conventional steering, control, and policy instruments. In this paper, we show that the new view of knowledge generation and diffusion in innovation networks allows for an alternative and has led to systemic approaches in innovation analyses. Combined with computational approaches like agent-based modeling, this new view enables today innovative tools in policy consulting. Using the example of regional innovation policy, we introduce a policy laboratory in which innovation processes can be analyzed in depth to see the impact of different innovation policy instruments in-silico. This ex-ante evaluation helps considerably to improve the understanding of innovation processes and with it the performance of innovation policy.

ACS Style

Pyka Andreas; Matthias Mueller; Muhamed Kudic. Regional Innovation Systems in Policy Laboratories. Journal of Open Innovation: Technology, Market, and Complexity 2018, 4, 44 .

AMA Style

Pyka Andreas, Matthias Mueller, Muhamed Kudic. Regional Innovation Systems in Policy Laboratories. Journal of Open Innovation: Technology, Market, and Complexity. 2018; 4 (4):44.

Chicago/Turabian Style

Pyka Andreas; Matthias Mueller; Muhamed Kudic. 2018. "Regional Innovation Systems in Policy Laboratories." Journal of Open Innovation: Technology, Market, and Complexity 4, no. 4: 44.

Regular article
Published: 14 June 2018 in Journal of Evolutionary Economics
Reads 0
Downloads 0

In this article, we develop a new way to capture knowledge diffusion and assimilation in innovation networks by means of an agent-based simulation model. The model incorporates three essential characteristics of knowledge that have not been covered entirely by previous diffusion models: the network character of knowledge, compatibility of new knowledge with already existing knowledge, and the fact that transmission of knowledge requires some form of attention. We employ a network-of- networks approach, where agents are located within an innovation network and each agent itself contains another network composed of knowledge units (KUs). Since social learning is a path-dependent process, in our model, KUs are exchanged among agents and integrated into their respective knowledge networks depending on the received KUs’ compatibility with the currently focused ones. Thereby, we are also able to endogenize attributes such as absorptive capacity that have been treated as an exogenous parameter in some of the previous diffusion models. We use our model to simulate and analyze various scenarios, including cases for different degrees of knowledge diversity and cognitive distance among agents as well as knowledge exploitation vs. exploration strategies. Here, the model is able to distinguish between two levels of knowledge diversity: heterogeneity within and between agents. Additionally, our simulation results give fresh impetus to debates about the interplay of innovation network structure and knowledge diffusion. In summary, our article proposes a novel way of modeling knowledge diffusion, thereby contributing to an advancement of the economics of innovation and knowledge.

ACS Style

Michael P. Schlaile; Johannes Zeman; Matthias Mueller. It’s a match! Simulating compatibility-based learning in a network of networks. Journal of Evolutionary Economics 2018, 28, 1111 -1150.

AMA Style

Michael P. Schlaile, Johannes Zeman, Matthias Mueller. It’s a match! Simulating compatibility-based learning in a network of networks. Journal of Evolutionary Economics. 2018; 28 (5):1111-1150.

Chicago/Turabian Style

Michael P. Schlaile; Johannes Zeman; Matthias Mueller. 2018. "It’s a match! Simulating compatibility-based learning in a network of networks." Journal of Evolutionary Economics 28, no. 5: 1111-1150.

Journal article
Published: 23 May 2018 in Sustainability
Reads 0
Downloads 0

The transformation towards a knowledge-based bioeconomy has the potential to serve as a contribution to a more sustainable future. Yet, until now, bioeconomy policies have been only insufficiently linked to concepts of sustainability transformations. This article aims to create such link by combining insights from innovation systems (IS) research and transformative sustainability science. For a knowledge-based bioeconomy to successfully contribute to sustainability transformations, the IS’ focus must be broadened beyond techno-economic knowledge. We propose to also include systems knowledge, normative knowledge, and transformative knowledge in research and policy frameworks for a sustainable knowledge-based bioeconomy (SKBBE). An exploration of the characteristics of this extended, “dedicated” knowledge will eventually aid policymakers in formulating more informed transformation strategies.

ACS Style

Sophie Urmetzer; Michael P. Schlaile; Kristina B. Bogner; Matthias Mueller; Andreas Pyka. Exploring the Dedicated Knowledge Base of a Transformation towards a Sustainable Bioeconomy. Sustainability 2018, 10, 1694 .

AMA Style

Sophie Urmetzer, Michael P. Schlaile, Kristina B. Bogner, Matthias Mueller, Andreas Pyka. Exploring the Dedicated Knowledge Base of a Transformation towards a Sustainable Bioeconomy. Sustainability. 2018; 10 (6):1694.

Chicago/Turabian Style

Sophie Urmetzer; Michael P. Schlaile; Kristina B. Bogner; Matthias Mueller; Andreas Pyka. 2018. "Exploring the Dedicated Knowledge Base of a Transformation towards a Sustainable Bioeconomy." Sustainability 10, no. 6: 1694.

Journal article
Published: 18 December 2017 in TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis
Reads 0
Downloads 0

Der Beitrag zeigt, wie mit Hilfe der Methode der agentenbasierten Modellierung und Simulation (ABMS) ein Beitrag zur ex-ante Policy-Beratung geleistet werden kann. Anhand eines exemplarischen Anwendungsfalls, der VISIBLE Simulationsumgebung („Virtual Simulation Lab for the Analysis of Investments in Learning and Education“), diskutieren wir die Konsequenzen unterschiedlicher Kooperationsförderinstrumente für Wissensdiffusionsprozesse in Netzwerken am Beispiel der Region Heilbronn-Franken. Die Simulationsergebnisse zeigen, dass die strukturelle Konfiguration eines regionalen Innovationssystems eine zentrale Bedeutung für die Gestaltung von Kooperationsfördermaßnahmen hat und dass Interventionen, die darauf abzielen, Wissenstransfer zwischen den Akteuren anzuregen, genau die entgegengesetzten Wirkungen entfalten können.

ACS Style

Matthias Mueller; Muhamed Kudic; Andreas Pyka. Ex-ante Evaluation von Investitionsalternativen. TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis 2017, 26, 51 -57.

AMA Style

Matthias Mueller, Muhamed Kudic, Andreas Pyka. Ex-ante Evaluation von Investitionsalternativen. TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis. 2017; 26 (3):51-57.

Chicago/Turabian Style

Matthias Mueller; Muhamed Kudic; Andreas Pyka. 2017. "Ex-ante Evaluation von Investitionsalternativen." TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis 26, no. 3: 51-57.

Journal article
Published: 06 December 2017 in Sustainability
Reads 0
Downloads 0

The aim of this article is to complement research on transformations towards sustainability by drawing upon the innovation systems (IS) framework. The IS framework already serves as a suitable and influential basis for research on processes of technological innovation and economic change. We argue that improving the capacity of an IS framework for dealing with wicked problems and the normative complexity of sustainability requires a fundamental paradigm shift because in the current IS paradigm innovations are considered as per se desirable and in mostly technological terms. Therefore, we call for IS dedicated to transformations towards sustainability by opening up for systemic innovations beyond the technological dimension and by acknowledging that stakeholders have conflicting visions, interests, norms, and expectations with regard to sustainability goals. Taking the normative dimension of transformations towards sustainability seriously thus requires more explicit and integrative research on directionality, legitimacy, responsibility, and their interrelation in IS. The article concludes by proposing suggestions for future research based on IS-related approaches that can serve as building blocks for an IS framework capable of incorporating legitimate goal-orientation for transformative innovation by and for society.

ACS Style

Michael P. Schlaile; Sophie Urmetzer; Vincent Blok; Allan Dahl Andersen; Job Timmermans; Matthias Mueller; Jan Fagerberg; Andreas Pyka. Innovation Systems for Transformations towards Sustainability? Taking the Normative Dimension Seriously. Sustainability 2017, 9, 2253 .

AMA Style

Michael P. Schlaile, Sophie Urmetzer, Vincent Blok, Allan Dahl Andersen, Job Timmermans, Matthias Mueller, Jan Fagerberg, Andreas Pyka. Innovation Systems for Transformations towards Sustainability? Taking the Normative Dimension Seriously. Sustainability. 2017; 9 (12):2253.

Chicago/Turabian Style

Michael P. Schlaile; Sophie Urmetzer; Vincent Blok; Allan Dahl Andersen; Job Timmermans; Matthias Mueller; Jan Fagerberg; Andreas Pyka. 2017. "Innovation Systems for Transformations towards Sustainability? Taking the Normative Dimension Seriously." Sustainability 9, no. 12: 2253.

Book chapter
Published: 15 June 2017 in An Agent-Based Model of Heterogeneous Demand
Reads 0
Downloads 0

Today, the word innovation is something everybody knows. It is one of those buzz words which one encounters in many different ways and occasions. Firms advertise even slight changes as brand new innovations and are never tired of emphasising their innovative behaviour.

ACS Style

Matthias Müller. Introduction. An Agent-Based Model of Heterogeneous Demand 2017, 21 -31.

AMA Style

Matthias Müller. Introduction. An Agent-Based Model of Heterogeneous Demand. 2017; ():21-31.

Chicago/Turabian Style

Matthias Müller. 2017. "Introduction." An Agent-Based Model of Heterogeneous Demand , no. : 21-31.

Book chapter
Published: 15 June 2017 in An Agent-Based Model of Heterogeneous Demand
Reads 0
Downloads 0

Given the current momentum of research on innovation it is surprising that something essential and vital as the demand side and the role of consumer has got so little attention. In the tradition of Schumpeter, today’s research focus of evolutionary and neo-Schumpeterian economists still lies on the supply side and, thus, on firms. At the very heart of evolutionary economics lies the abandonment of restrictive assumptions and equilibrium oriented frameworks.

ACS Style

Matthias Müller. Discussion and Further Research Avenues. An Agent-Based Model of Heterogeneous Demand 2017, 159 -162.

AMA Style

Matthias Müller. Discussion and Further Research Avenues. An Agent-Based Model of Heterogeneous Demand. 2017; ():159-162.

Chicago/Turabian Style

Matthias Müller. 2017. "Discussion and Further Research Avenues." An Agent-Based Model of Heterogeneous Demand , no. : 159-162.

Book chapter
Published: 15 June 2017 in An Agent-Based Model of Heterogeneous Demand
Reads 0
Downloads 0

Introducing heterogeneous demand of consumers presents without doubt a huge step towards a more realistic consideration of consumer into the analysis of innovation processes. However, the baseline model shown in chapter 4 still over simplifies the capabilities and the behaviour of consumers in various ways. Following the idea of population thinking (see also chapter 2.2) we have to look at the social and economic interactions within the populations of heterogeneous actors.

ACS Style

Matthias Müller. Networks of Heterogeneous Agents. An Agent-Based Model of Heterogeneous Demand 2017, 105 -142.

AMA Style

Matthias Müller. Networks of Heterogeneous Agents. An Agent-Based Model of Heterogeneous Demand. 2017; ():105-142.

Chicago/Turabian Style

Matthias Müller. 2017. "Networks of Heterogeneous Agents." An Agent-Based Model of Heterogeneous Demand , no. : 105-142.

Book chapter
Published: 15 June 2017 in An Agent-Based Model of Heterogeneous Demand
Reads 0
Downloads 0

This chapter describes the theoretical foundation of the simulation model carried out in the later chapters of this dissertation. We aim to show how demand side aspects have been included in the economic literature on innovation in the past and how they are included today. Additionally, this chapter also describes the fundamental aspects of the so called evolutionary economics approach which will be used as a framework for the model carried out in the later chapters of this dissertation.

ACS Style

Matthias Müller. The Role of Consumers in Innovation Economics. An Agent-Based Model of Heterogeneous Demand 2017, 33 -55.

AMA Style

Matthias Müller. The Role of Consumers in Innovation Economics. An Agent-Based Model of Heterogeneous Demand. 2017; ():33-55.

Chicago/Turabian Style

Matthias Müller. 2017. "The Role of Consumers in Innovation Economics." An Agent-Based Model of Heterogeneous Demand , no. : 33-55.

Book chapter
Published: 15 June 2017 in An Agent-Based Model of Heterogeneous Demand
Reads 0
Downloads 0

The following chapter adds an important aspect of products which is too often overlooked. With every purchase, consumers have to decide whether they want to include possible negative characteristics of products with no direct or only indirect influence on the consumer into their consideration or not. The aim of this chapter is to apply the simulation model of the previous chapters for the analysis of responsible innovation.

ACS Style

Matthias Müller. Bounded Morality of Consumers. An Agent-Based Model of Heterogeneous Demand 2017, 143 -157.

AMA Style

Matthias Müller. Bounded Morality of Consumers. An Agent-Based Model of Heterogeneous Demand. 2017; ():143-157.

Chicago/Turabian Style

Matthias Müller. 2017. "Bounded Morality of Consumers." An Agent-Based Model of Heterogeneous Demand , no. : 143-157.

Book chapter
Published: 15 June 2017 in An Agent-Based Model of Heterogeneous Demand
Reads 0
Downloads 0

After the discussion of the ABM approach in the previous chapter, the following chapter describes the agent-based simulation model used as a baseline model. This baseline model shows the implications of introducing heterogeneous consumers with heterogeneous demand into the analysis of innovation. Hereby, we aim at creating a computational framework which can display both, the heterogeneity of the demand as well as the supply side and their effect on the innovation process.

ACS Style

Matthias Müller. An ABM of Heterogeneous Consumers and Demand. An Agent-Based Model of Heterogeneous Demand 2017, 75 -104.

AMA Style

Matthias Müller. An ABM of Heterogeneous Consumers and Demand. An Agent-Based Model of Heterogeneous Demand. 2017; ():75-104.

Chicago/Turabian Style

Matthias Müller. 2017. "An ABM of Heterogeneous Consumers and Demand." An Agent-Based Model of Heterogeneous Demand , no. : 75-104.

Article
Published: 10 February 2017 in Philosophy of Management
Reads 0
Downloads 0

This paper contributes to the (re-)conceptualisation of responsible innovation by proposing an evolutionary economic approach that focuses on the role of consumers in the innovation process. After a discussion of the philosophical foundations and ethical implications of this approach, which bears an explanatory potential that has not been adequately considered in previous discussions of responsible innovation, we present a first step towards capturing the important but often neglected role of consumers in innovation processes (including responsible innovation): We propose an agent-based model that incorporates a multidimensional space of characteristics in which new products or services are represented by more than the mere aspect of price and quality. Instead, innovations are denoted by a large set of characteristics, including also negative or harmful ones. The model is used to illustrate that consumers’ heterogeneity and bounded rationality – even if considered in a simple manner – indeed play a crucial role in the creation and diffusion of responsible innovation which can and should be used for further work in this field and for possible extensions of the model.

ACS Style

Michael P. Schlaile; Matthias Mueller; Michael Schramm; Andreas Pyka. Evolutionary Economics, Responsible Innovation and Demand: Making a Case for the Role of Consumers. Philosophy of Management 2017, 17, 7 -39.

AMA Style

Michael P. Schlaile, Matthias Mueller, Michael Schramm, Andreas Pyka. Evolutionary Economics, Responsible Innovation and Demand: Making a Case for the Role of Consumers. Philosophy of Management. 2017; 17 (1):7-39.

Chicago/Turabian Style

Michael P. Schlaile; Matthias Mueller; Michael Schramm; Andreas Pyka. 2017. "Evolutionary Economics, Responsible Innovation and Demand: Making a Case for the Role of Consumers." Philosophy of Management 17, no. 1: 7-39.