scholarly journals A CONCEPTUAL MODEL FOR INTEGRATING DESIGN THINKING AND LEAN STARTUP METHODS INTO THE INNOVATION PROCESS

2021 ◽  
Vol 1 ◽  
pp. 31-40
Author(s):  
Tucker Marion ◽  
David Cannon ◽  
Tahira Reid ◽  
Anna-Maria McGowan

AbstractDesign thinking is a methodology that comes from the industrial design realm and is centred on culling better needs insight from users. Another popular methodology is based gaining insight on the potential of an opportunity through experimentation, testing, and iterating with users. This is commonly referred to as lean startup methods. However, from a research perspective, we still do not know the most effective way to implement these user focused design methods within the innovation process within organizations, and which aspects of the design process are the most impactful in developing new opportunities. In this research, we propose a high-level conceptual process model on how user focused design methods such as design thinking and lean startup methods can be integrated into the up-front innovation process within organizations. We review the conceptual model, associated activities, and process considerations. The article concludes with thoughts on future research.

2021 ◽  
Vol 62 (1) ◽  
pp. 17-29
Author(s):  
Ouelid Ouyeder ◽  
Julia Hitzbleck ◽  
Henning Trill

Abstract The aim of this paper is to introduce an end-to-end development process for non-biomedical innovation and new business models of a Life Science company that integrates different methods such as Design Thinking, Lean Startup, Agility and others within one framework. Since 2016 this innovation process is an essential part of the internal Employee Innovation program and proves its applicability in a real-life setting. Projects teams develop and implement their new digital business models successfully by taking the introduced innovation process as guideline. This process enables the Life Science organization to run two global entrepreneurship programs (Catalyst Fund and Catalyst Box) that foster customer focus with fast and evidence-based experimentation. The article encompasses a real-life case study out of the Catalyst Fund program about the Farm Advisory Team from India. By using this example each phase of the innovation process is described schematically. Idea generation is easy-to-apply, but the implementation of ideas is one of the biggest challenges in larger corporations. The proposed end-to-end innovation process connects the dots of different innovation methods and provides guidance to company decision makers and project teams in order to structure their business model innovation activities/strategy and discussions. Zusammenfassung Das Ziel dieses Beitrags ist es, einen durchgängigen Innovationsprozess für nicht-biomedizinische Lösungen und Geschäftsmodelle eines Life-Science-Unternehmens vorzustellen, der verschiedene Methoden wie Design Thinking, Lean Startup, Agilität und andere innerhalb eines Gestaltungsrahmens integriert. Seit 2016 ist der Innovationsprozess ist ein wesentlicher Bestandteil des internen Employee Innovation Programms und beweist seine Anwendbarkeit in einem realen Umfeld. Projektteams entwickeln und implementieren ihre neuen digitalen Geschäftsmodelle erfolgreich, indem sie den vorgestellten Innovationsprozess als Leitfaden nutzen. Dieser Prozess ermöglicht es dem Life-Science-Unternehmen, zwei globale Entrepreneurship-Programme (Catalyst Fund und Catalyst Box) durchzuführen, die den Kundenfokus mit schnellen und evidenzbasierten Experimenten fördern. Der Artikel umfasst eine reale Fallstudie aus dem Catalyst Fund Programm über das Farm Advisory Team aus Indien. Anhand dieses Beispiels wird jede Phase des Innovationsprozesses schematisch beschrieben. Die Ideengenerierung ist leicht anwendbar, aber die Umsetzung von Ideen ist eine der größten Herausforderungen in größeren Unternehmen. Der vorgeschlagene End-to-End-Innovationsprozess integriert die verschiedenen Innovationsmethoden und bietet Entscheidungsträgern und Projektteams in Unternehmen eine Anleitung, um ihre Aktivitäten bzw. Strategie und Diskussionen zur Geschäftsmodellinnovation zu strukturieren.


2021 ◽  
Author(s):  
Irene Göttgens ◽  
Sabine Oertelt-Prigione

BACKGROUND Design-based approaches to healthcare strive to support the development of innovative, effective and person-centered solutions for healthcare. Although their use is increasing, there is no systematic overview describing the details of human centered design (HCD) methods in health innovations. OBJECTIVE This study aims to provide an overview of human centered design approaches applied for the development of health innovations, with the aim of assisting healthcare workers and design researchers in selecting suitable methods for participatory and human centered design processes. METHODS We performed electronic searches in Pubmed, CINHAL, Embase, Cochrane Library, Web of Science, PsycInfo and Sociological Abstracts (2000 – 2020) using search terms related to “human-centered design”, “design thinking”(DT) and “user-centered design”(UCD). Abstracts and full-text articles were screened by two reviewers independently based on predefined inclusion criteria. Data extraction focussed on (a) the methodology employed throughout the research process, (b) the choice of methods in different phases of the innovation cycle and (c) the level of engagement of end-users. RESULTS A wide variation of design-based practices are increasingly applied in health research. Design-based approaches are applied in health research in combination with traditional qualitative and quantitative approaches. All included studies structured the innovation process using a variation of the following phases: understand – define – generate ideas – test. HCD/DT-based research primarily targeted understanding the context and defining the problem whereas UCD-based work focused mainly on the direct generation of solutions. CONCLUSIONS Design-based researchers should tailor their choice of design methods according to their primary focus; problem identification or solution development. Design techniques are challenging to evaluate with traditional biomedical research methods, limiting the opportunity for standardized assessment. Future research on HCD practices should focus on the development of specific standards, transdisciplinary evaluation methods, and guidelines for stakeholder engagement.


Author(s):  
Cynthia L. Corritore ◽  
Beverly Kracher ◽  
Susan Wiedenbeck ◽  
Robert Marble

Trust has always been an important element of healthcare. As healthcare evolves into ehealth, a question arises: What will the nature of trust be in ehealth? In this chapter the authors provide the reader with a foundation for considering this question from a research perspective. The authors focus on one ehealth domain: online websites. The chapter begins with a high-level overview of the body of offline trust research. Next, findings related to online trust are presented, along with a working definition. Trust research in the context of online health care is then examined, although this body of work is in its infancy. A detailed discussion of our research in the area of online trust is then presented. Finally, with this background, we take the reader through some possible research questions that are interesting candidates for future research on the nature of trust in ehealth.


Author(s):  
Ulrich Lichtenthaler

In light of digital transformation and a stronger application of artificial intelligence, many firms try to increase the agility of their innovation processes. In this regard, they particularly rely on design thinking or on the lean startup approach to reduce some of the deficits of established innovation processes, such as the stage-gate model. This conceptual article shows that merely focusing on design thinking and lean startup in isolation will not enable companies to fully leverage the benefits of agile innovation. Because of the complementarity of design thinking and lean startup, executives should simultaneously pursue these approaches in order to achieve results that are more than the sum of isolated design thinking or isolated lean startup initiatives. This complementarity derives from the specific benefits of design thinking in the front end of the innovation process combined with the particular benefits of lean startup in the back end.


2016 ◽  
Vol 1 (4) ◽  
pp. 331-349 ◽  
Author(s):  
Yilu Liang ◽  
Wanqi Shen

The media and entertainment industry in China is witnessing the changing nature of its relationships between fans and the artists/studios they follow. Fans, once merely passive recipients of marketing campaigns, are now shifting from sharing their original work (fan art, fan vids, fan fics) as active members of fan communities, and participants within the “gift economy”, to being content experts leveraged as co-creators by studios seeking to ensure the success of productions before they are released into the marketplace. China’s media and entertainment companies are beginning to embrace the creative powers of their fans, and are seeking new ways to develop, invest in, and nurture their fan community towards the co-creation of products, especially with high level “super fans”, surpassing the mere driving of purchases through lifestyle affinity. In this paper we define and discuss elements of Chinese “fans”, their evolving relationship with artists and studios, and their impact on the Chinese media and entertainment industry. This includes a description of fan “levels”, an adaptation of the ARPU (average revenue per unit) used to measure fan value, and a review of social media platforms that provide a technological base for company/fan interaction. We share examples from China’s music, film, and television industries based on interviews with industry practitioners, and offer some insights on how companies can benefit from this collaborative product development practice. In conclusion, we draw parallels between the direction of the fan-studio collaboration process with the rapidly expanding innovation process known as “design thinking”, where companies incorporate feedback from side-by-side collaboration with customers and expert users during the product development process.


2010 ◽  
Vol 20-23 ◽  
pp. 1336-1341
Author(s):  
Qing Hai Li ◽  
Guo Zhong Cao ◽  
Hai Xia Guo ◽  
Run Hua Tan

Function design is an important method for high-level innovation, and it is important for corporations to forecast product evolution rapidly and effectively from function angle. Three laws of function organization and eight laws of function improvement are presented to discover radically appearance of new functions and improvement of existing functions. The directions of function evolution are confirmed by function forecasting, and the function evolutionary path is described by function evolution tree. The rationality is evaluated by degree of ideality. The product innovation process model based on function evolution is proposed by integrating the above contents, which provides a systematic approach to product innovation from functional design angle. A design example for innovation of Chinese medicine demonstrates the proposed method is feasible.


2012 ◽  
pp. 1167-1193
Author(s):  
Cynthia L. Corritore ◽  
Beverly Kracher ◽  
Susan Wiedenbeck ◽  
Robert Marble

Trust has always been an important element of healthcare. As healthcare evolves into ehealth, a question arises: What will the nature of trust be in ehealth? In this chapter the authors provide the reader with a foundation for considering this question from a research perspective. The authors focus on one ehealth domain: online websites. The chapter begins with a high-level overview of the body of offline trust research. Next, findings related to online trust are presented, along with a working definition. Trust research in the context of online health care is then examined, although this body of work is in its infancy. A detailed discussion of our research in the area of online trust is then presented. Finally, with this background, we take the reader through some possible research questions that are interesting candidates for future research on the nature of trust in ehealth.


2018 ◽  
Vol 21 (3) ◽  
pp. 384-401 ◽  
Author(s):  
Bertrand Pauget ◽  
Andreas Wald

Purpose Research on organizational innovation remains relatively scarce, particularly with respect to social structures and processes. In contrast to product innovation, organizational innovation relies more on informal processes and relationships among members of the organization than on formal processes. The purpose of this paper is to contribute to the understanding of these processes at the micro level. Design/methodology/approach Building on a process model of organizational innovation, the authors study the case of a dermatology department of a large hospital in France and conceptualize organizational innovation as the outcome of a social system represented by networks of relationships, professional identities and formal structures. Findings The findings suggest that informal networks support the early phase of the invention and development of organizational innovation. However, the later phases depend more on the formal structure. A mismatch between professional identities and formal roles and positions can prevent the institutionalization and legitimation of organizational innovation in the final phases of the innovation process. Research limitations/implications The study is limited to one case, a department in a French hospital. The authors call for future research to study different industry/country contexts. Practical implications Professional organizations such as hospitals should encourage better interactions between actors of different professional identities to support the development and implementation of organizational innovation. Reducing the perceived hierarchy of different professional identities may also be useful. Originality/value This study is the first to investigate micro-level processes in organizational innovation by combining the concept of professional identity and network analysis.


2020 ◽  
pp. 001872672090601 ◽  
Author(s):  
Sarah Wright ◽  
Anthony Silard

‘I am lonely’, ‘I feel lonely’, ‘I am all alone’, ‘I feel lonely at work’. Each statement conjures up different sentiments about loneliness and speaks to the myriad ways one can arrive at the conclusion that they are lonely. This everyday language gives us insight into the mechanics of what loneliness is, what it is not, how it can manifest, and how being lonely is variously perceived in our social environments. Loneliness indicates that our relational life is unsatisfying in some way and implies a yearning for connection. The perception of loneliness is magnified in social contexts such as the workplace, yet because loneliness is often perceived as a shameful topic that is stigmatised, trivialised, or ignored, it is not something we often hear revealed within organisations. How does loneliness develop in the workplace? This article introduces a process model to help us understand how loneliness at work can manifest. Because the literature on workplace loneliness is far from mature, we use multidisciplinary research on various aspects of loneliness, relationships, and organisations to help develop a conceptual model of loneliness in the context of the workplace. Lastly, the article outlines future research directions for the study of workplace loneliness.


Methodology ◽  
2017 ◽  
Vol 13 (1) ◽  
pp. 9-22 ◽  
Author(s):  
Pablo Livacic-Rojas ◽  
Guillermo Vallejo ◽  
Paula Fernández ◽  
Ellián Tuero-Herrero

Abstract. Low precision of the inferences of data analyzed with univariate or multivariate models of the Analysis of Variance (ANOVA) in repeated-measures design is associated to the absence of normality distribution of data, nonspherical covariance structures and free variation of the variance and covariance, the lack of knowledge of the error structure underlying the data, and the wrong choice of covariance structure from different selectors. In this study, levels of statistical power presented the Modified Brown Forsythe (MBF) and two procedures with the Mixed-Model Approaches (the Akaike’s Criterion, the Correctly Identified Model [CIM]) are compared. The data were analyzed using Monte Carlo simulation method with the statistical package SAS 9.2, a split-plot design, and considering six manipulated variables. The results show that the procedures exhibit high statistical power levels for within and interactional effects, and moderate and low levels for the between-groups effects under the different conditions analyzed. For the latter, only the Modified Brown Forsythe shows high level of power mainly for groups with 30 cases and Unstructured (UN) and Autoregressive Heterogeneity (ARH) matrices. For this reason, we recommend using this procedure since it exhibits higher levels of power for all effects and does not require a matrix type that underlies the structure of the data. Future research needs to be done in order to compare the power with corrected selectors using single-level and multilevel designs for fixed and random effects.


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