23 September 2021, 08:00:00

DATA-DRIVEN DESIGN IDEATION by knowledge distance✩

TechNet may serve as an infrastructure to support a wide range of applications, e.g., technical text summaries, search query predictions, relational knowledge discovery, and design ideation support, in the context of engineering and technology, and complement or enrich existing semantic databases.

28 October 2021, 11:00:00

Creating and capturing value from big data: A MULTIPLE CASE STUDY analysis of provider companies

This paper explores the question of how provider companies create and capture value from Big Data, drawing on a multiple-case study analysis of provider companies that offer solutions and services based on Big Data. The results illustrate a theoretical framework on value creation and capture by relying on Big Data and identify two main innovation service strategies based on Big Data used by provider companies. In addition, this paper provides valuable insights as to how the network of involved stakeholders influences the design and implementation of the innovation service strategy by the provider companies.

30 November 2021, 12:00:00

Synergy or conflict? The relationships among organisational culture, sustainability-related innovation performance, and economic innovation performance

Despite the growing pressure to become more sustainable and the availability of managerial practices, organisations struggle with being innovative without neglecting sustainability concerns. This paper approaches this issue from two perspectives: the organisations’ culture and scepticism among managers.

14 December 2021, 12:00:00

Caught between the users and the firm: How does identity conflict affect employees' innovative behavior

The authors take a novel approach to study employees in organizations. Specifically, they sample employees not from within the organization, but via PROFESSIONAL SOCIAL NETWORKS.
The session centers around the intriguing question of how we can study innovation in new ways and especially what data we can access in new ways. We see more and more of these ways of collecting data and they bring intriguing questions to how we can reach further.

26 January 2022, 12:00:00

Coworking spaces: Empowerment for entrepreneurship and innovation in the digital and sharing economy- FUZZY SET QUALITATIVE COMPARATIVE ANALYSIS (FSQCA), NECESSARY CONDITION ANALYSIS (NCA) AND MIXED METHODS

This mixed-methods study, including FSQCA and NCA, of 328 respondents from coworking spaces the USA, Germany, and China identifies configurations of institutional patterns on work satisfaction associated with a sense of community, autonomy, participation, linkage multiplicity and mutual knowledge creation. High work satisfaction can occur in three different configurations related to a) agility housing, b) knowledge housing, and c) social housing. Our findings contribute to how incumbent firms and coworking spaces can influence work satisfaction and empower innovation and entrepreneurial performance.
This session is offered in collaboration with the Erasmus Research Institute of Management (ERIM) NCA https://www.erim.eur.nl/necessary-condition-analysis/

28 February 2022, 10:00:00

EFFECTUATION THEORY: Can established firms use start-up decision-making principles to stay innovative?

Established companies try to cooperate with start-ups, build their own, or try to imitate their mindsets. Do they make decisions like expert entrepreneurs? Effectuation theory describes entrepreneurial decision-making, it has been popular in entrepreneurship research for the last two decades, but still under-explored in innovation management.

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DIGITAL ETHNOGRAPHY, opportunities for Innovation Management Research

Digital ethnography: This sharp, innovative book champions the rising significance of ethnographic research on the use of digital resources around the world. It contextualises digital and pre-digital ethnographic research and demonstrates how the methodological, practical and theoretical dimensions are increasingly intertwined.

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ACTION RESEARCH: Teaching-practice as a critical bridge for narrowing the research-practice gap

Coming in early 2022
Management researchers and practitioners appear to be talking past each other. The paper broadens the stakeholder value perspective to explore how and why the interests of researchers and practitioners have diverged, before going on to present illustrative cases of programs attempting to bridge such differences.

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Business Model Innovation in a Project-based Firm – A Configurational Approach

Coming in early 2022

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TEXT MINING methods and innovation research:How to create insights from large datasets

Coming in early 2022
Unstructured data in the form of digitized text is increasing in volume, accessibility, and relevance for research on innovation and beyond. While traditional attempts to analyze are limited in processing large amounts of data, text mining allows researchers to explore large‐scale collections of texts in an efficient manner.

29 April 2021, 08:00:00

CASE STUDIES in innovation management: In search for best practices

Case study is a widely adopted method in innovation management. However, there is a great diversity in the transparency and rigor in how case studies are conducted, downplaying their potential contribution to the cumulative scholarly knowledge. How can we uplift case studies as the method of choice for rigorous and impactful scholarship?

31 May 2021, 10:00:00

A LONGITUDINAL STUDY: Developing radical innovation capabilities: Exploring the effects of training employees for creativity and innovation

The efforts of the research institute of a major Canadian energy company to provide training for innovation and creativity to initiate a radical innovation capability is studied. We rely on a longitudinal study over the span of 18 months, where we observed 128 hours of training and conducted 70 semi‐structured interviews with a sample of 40 researchers.

17 June 2021, 11:00:00

DISBURSED, COLLABORATIVE RESEARCH WITH 47 AUTHORS: The Open Innovation in Science research field: a collaborative conceptualisation

This paper proposes a unifying Open Innovation in Science (OIS) Research Framework, which captures the antecedents, contingencies, and consequences of open and collaborative practices along the entire process of generating and disseminating scientific insights and translating them into innovation. To conceptualise the framework, we employed a collaborative approach involving 47 scholars from multiple disciplines, highlighting both tensions and commonalities between existing approaches. The OIS Research Framework thus serves as a basis for future research, informs policy discussions, and provides guidance to scientists and practitioners.