Parallel Session Details

Wiley Presentation (Open Session)

Publishing with Impact - Best Practice Recommendations for Promoting your Published Article

Martin Wells, Publisher, Wiley

It may have taken years - including late-nights at the desk making revisions - but you now have a published article. Take time to celebrate, because this is the beginning of another journey… the challenging task of post-publication promotion! Positioning an article for impact pre- and post-publication is a key consideration for authors throughout the publishing process, but amidst competing priorities it can often be forgotten. Structured around five recommendations, this short session aims to provide practical advice to help authors publish with impact.

PhD Mentoring Session (Closed Session)

ID 160: To Reveal or Not to Reveal? Open Innovation Mechanisms Within an Emerging Personalized Medicine Innovation Ecosystem

Andrew Park, Simon Fraser University

Drawing on and contributing to the Open Innovation literature, our study explores the boundary conditions of the effectiveness of Open Innovation strategies within emerging innovation ecosystems. Namely, we propose a relationship between the use of Open Innovation by emergent Personalized Medicine firms in British Columbia and their value outputs. We test our hypothesis empirically by quantifying the use of the Open Innovation mechanisms of Selective Revealing, Strategic Timing and Strategic Partnering by each of the firms in our sample, categorized by level of uncertainty, and comparing them to the value output of each of these firms. We find Open Innovation activities have a positive effect on value outputs for Personalized Medicine firms. Additionally, firms who operate in environments of high uncertainty and who employ these Open Innovation mechanisms enjoy higher value outputs than firms who operate in environments of low uncertainty. Thus, we argue that Open Innovation plays an important role in stimulating the economic performance of emerging science-based ecosystems.

ID 166: Tie strength or structural configurations? The network effect of innovation diffusion of emerging technologies from network evolution perspective

Meijuan Pan, Tsinghua University

The diffusion network provides an effective way for disseminating emerging technologies, which is a critical way to foster the competitiveness of emerging industries and promote national innovation capacity. Taking the Natural Language Processing (NLP) technology in the artificial intelligence industry as example, this study aims to explore the network effect of innovation diffusion of emerging technologies (AI) based on the concept of tie strength and structural configurations from the perspective of network evolution. Through the Exponential Random Graph Models (ERGMs) of longitudinal network which helps to clarify the functions and evolution mechanisms of tie strength and structural configurations on innovation diffusion. Empirical results show that tie strength plays a more important role in the initial and explosive period of industry while the structural configurations effect starts to play an important role in the mature period of the industry. Furthermore, with the network evolution, the network effect of innovation diffusion has shifted from “relationship-based complementary cooperation” to “structure-based alternative competition”. This helps to identify international opportunities and challenges that firms faced in the process of innovation diffusion. At the same time, it is of great significance to strengthen the diffusion transfer and secondary innovation, to foster regional innovation system and to promote the transformation of China’s innovation model.

ID 170: Establishing an Effective Investment Ecosystem in Vancouver’s Tech Cluster

Ester Di Maio da Cunha, Simon Fraser University

The concept of business ecosystems and clusters have explained the development of new technology clusters that shape today’s economy. Vancouver’s tech cluster lacks in accelerator offices, investor networks and business strategy for market expansion that leads to successful investments in Silicon Valley, Cambridge, Tel-Aviv and Singapore. In order to analyse these successful ecosystems, the literature identifies total early-stage funding per startup, total capital originated from venture capital deals and total startup exits as three main indicators. Based on these factors, the independent variables are leadership, timing, expertise, risk & failure to compare the ecosystems. The findings show that leadership through stakeholders’ interactions are important to foster innovation and funding to startups. Investors’ expertise comes from education, business ownership or industry-related jobs, whereas timing depends on market trends and it is addressed in business strategies and VC portfolios. Financial companies need to accept more risks and failures because they are essential for startups’ exits. We conclude that Vancouver’s investors must enhance not only connections with the business community and academia to spur knowledge sharing, but also infrastructure such as accelerators that will prepare business strategies for startups to get funding and exit the market in the long-run.

ID 171: Impact of mobile health-driven innovation in health care system

Reiko Onodera, Tokyo Institute of Technology

The purpose of this research is to explore impacts of mHealth to existing health care from the aspect of regulation and innovation. It was investigated through interviews, and paradigm innovation in mHealth will be considered based on the facts from the relationship between regulations and industry.

ID 182: Advances in integrating technological innovation for analyzing deep decarbonization policies of Emissions-Intensive and Trade-Exposed (EITE) industries

Thomas Budd, Simon Fraser University

Industrial deep decarbonization is required for Canada to achieve its climate targets. Leading scholars agree that induced technological change which transitions existing emissions-intensive processes to zero-emission is essential to decarbonize industry. Emissions-intensive and trade-exposed (EITE) industries which attempt to abate GHG emissions risk losing market share to international competitors if the transition to zero-emission technologies increases their relative costs of production.  Governments which introduce policies requiring GHG emission reductions in EITE industries may induce carbon leakage, a phenomenon of incentivizing emissions-intensive industrial processes to be outsourced to jurisdictions which do not implement climate policies. Research which explores the impacts of innovation-supporting and climate policies in transitioning existing emissions-intensive technologies to zero-emission have indicated the need to implement multiple types of policies to incentivize emission reductions at the lowest cost pathways.  However, future research is needed to determine if these findings are consistent when analyzing the specific case of EITE industries.  Studies examining trade exposure recommend that governments implement border carbon adjustments or output-based rebates to mitigate carbon leakage, but recognized that future quantitative modeling research which incorporates technological innovation and international knowledge spillovers are necessary to explore a full range of policy options which decarbonize EITE industries.  This paper assesses research gaps and limitations within the existing literature and proposes quantitative modeling methods to determine how Canadian governments may implement policy combinations to achieve deep decarbonization in Canada’s EITE industries at lowest possible cost and with minimal carbon leakage.

ID 186: BC’s Regional Innovation Ecosystem: Innovation Policies to Enhance the Knowledge-based Economy of BC

Dr. Pegah Yaghmaie, Simon Fraser University

This paper reviews innovation ecosystem literature, science entrepreneurship literature, and innovation policy literature to assess current barriers and opportunities for science-based innovation in BC. Through longitudinal case study analysis of two biotech and two cleantech science-based ventures, ways that science-based ventures enhance the knowledge economy of BC are elucidated and innovation policies to facilitate the enhancement of the knowledge based economy in BC are investigated. Our analysis suggests that, although universities in BC have a crucial role in generating spin-off ventures that ultimately contribute to the knowledge-based economy, there are a number of factors that constrain the translation of innovation into wealth creation in BC and in Canada. Based on the literature review and analysis of the case studies, innovation policy recommendations are made to commercialize more BC inventions and accelerate the growth of the knowledge-based economy.

ID 187: Start-up Accelerators as an Open Environment: The Impact on Start-ups' Innovative Performance

Dr. Nicola Del Sarto, Scuola Superiore Sant'Anna

Accelerators program are emerging in recent years as e new model of startup assistance. However, despite the rapid proliferation of such programs, academic literature on the topic is surprisingly scarce. In particular, previous literature has neglected to investigate how the open environment provided by startup accelerators can enhance the innovation performance of accelerated startups despite Open Innovation practices are commonly adopted in acceleration programs. To address this research gap, we investigate how startups participating in accelerator programs can enhance innovation performance through information transfer from informal networks provided by startup accelerators. In doing so, we draw data from 113 startups accelerated by Italian accelerators since 2013. Our results reveal that different sources of external knowledge provided by accelerators are beneficial for different innovation outcomes contributing to the literature on accelerators. Moreover, our findings contribute to the literature on startups and open innovation and to the technology and innovation management literature.

ID 188: Socio-technical systems global banking: Mixed methods

Peter Riddell, Grenoble Ecole de Management

Although the term Research and Development (R&D) raise images of industry and science, we know from sectorial studies of government tax incentive data that the financial services sector reports significant R&D. This mixed methods case study first reviews the Shared Service Organization (SSO) structure where the scale and speed of Back office and Frontline systems needs R&D in order to help legacy systems contend with increasing volumes and technological change. Next, R&D tax credit programs are explained to provide a context of how available timesheet and R&D technical descriptions can reveal what is R&D and what is not R&D conducted by the financial services sector. For a complete picture of the technical details and R&D stories behind these complex projects, a review of research methodology, selects a Grounded Theory Method (GTM) case study approach using both Glaserian (inductive) and Straussian (deductive) approaches.

ID 190: The emergent process of entrepreneurial innovation at the intersection between product development and venture creation: evidence from Fabrication Spaces

Valeria Dammicco, University of Cambridge

This research explores Fabrication Spaces (Fab-Spaces) as new contexts for entrepreneurial innovation emergence. These community-run physical fabrication workshops offer access to a variety of design and manufacturing resources and potentially enable individuals at all strata of society to carry out the process of product development to completion.

The innovation process of product development has long been studied in the context of established firms, mainly oriented at providing mid-level managers with a way of executing tasks systematically. However, these models are unsuitable to describe or direct the actions of nascent entrepreneurs whose product innovation process often co-evolves with the entrepreneurial challenge of new venture creation. We still lack an understanding of how the innovation process of entrepreneurs really works.

We adopt a process perspective and analyse the entrepreneurial journey of nascent entrepreneurs in Fabrication-Spaces through a multiple case study design. We cross-analysed the entrepreneurial narratives of 18 individuals across 7 different Fabrication-Spaces in 3 different countries (UK, Germany and Poland). We also tried to include an initial control group of 2 entrepreneurs who embarked through the entrepreneurial innovation process but outside of Fabrication Spaces.

Thanks to the process mapping charts which clearly separated the NPD and NVC journeys, we could immediately distinguish between those entrepreneurs who followed the “classic” model and “end-user” model of entrepreneurship. Our results expand on the knowledge of the two models as they show how these journeys not only differ in the temporal predominance of NPD over NVC activities (or vice versa), but also in the overall patterns of iterations between processes. By looking at this relationship, we not only populate such a research gap but also provide a first bridge between the innovation and entrepreneurship literature in the context of non-corporate environments.

ID 192: Measuring the Impact of Entrepreneurial Programming: Entrepreneurial Mindset Scale Development

Emily Treen, Simon Fraser University

Driven by the need to measure the impact of investment in entrepreneurial programming , specifically the change in how participants think and behave, this paper has been the first step in a larger study to develop an operationalizable concept of the entrepreneurial mindset. It has set the foundations for the development on a robust scale to measure the impact of entrepreneurial programming.

This paper has moved us forward through three contributions. First, we have brought together the evolving practical and academic thought on entrepreneurial mindset to begin presenting it as a higher level construct made up of antecedents with roots in extant literature, presenting gaps for further study including broader measurements of entrepreneurial behavior. Second, we have created an initial conceptual framework of entrepreneurial mindset that can be tested with experts, practitioners and against data in follow on studies.  Finally, we have used initial evidence to show that entrepreneurial programming can produce a change in some of the antecedents of entrepreneurial mindset (in this case those shared with growth mindset).