Our Editors
This site is run by a growing number of contributors from all parts of the world. Articles so far have been published by our following authors:
| Author | Latest Post | |
|---|---|---|
 |
Jan is a passionate innovation researcher and strategist. He trains and advises organizations in large-scale change by design. ( 44 stories published ) | IBM: Design Thinking Adaptation and Adoption at Scale Taking Risks, Earning Trust and Including Co-Workers: User-Centred Design at Deutsche Bahn Operations Reinventing Solar Energy Supply for Rural Africa The Rise & Fall of Design Thinking at Oticon The Link between Data Triangulation and Brainstorming Facilitation: Design Thinking at AirBnB From Stories and Metrics Waste for Warmth: Upcycling Plastic Waste to Tackle the Harsh Winter Conditions in Turkey’s Refugee Camps |
 |
Holger ist holding a scholarship from the HPI-Stanford Design Thinking Research Program. As a program manager for the HPI Academy, Holger is designing and teaching formats for executive education. ( 1 stories published ) | Starting Up with Design Thinking: The Story of LinkedIn’s Pulse |
 |
Eva is co-founder of Politics for Tomorrow and partner at kompea. She is an expert in Human-Centered Design and works in various fields. As a freelancer she is affiliated with Zero360 Innovation. ( 9 stories published ) | Three Good Reasons for Turning to Design in Germany’s Public Policy |
|
|
Jan is a passionate innovation researcher and strategist. He trains and advises organizations in large-scale change by design. ( 6 stories published ) | IBM: Design Thinking Adaptation and Adoption at Scale |
| How Design Thinking Enabled MLP to Speak the Customer’s Language | ||
 |
Timon Schinke is a Design Thinking-Coach, lecturer at the University of Applied Sciences (HTW) Berlin and the co-founder of the »Berliner Ideenlabor«, a innovation consultancy with a strong focus on creativity. ( 1 stories published ) | One Project Changes the Organization: The Case of Derdack |
 |
Axel is research associate at the HPI School of Design Thinking and member of the HPI - Stanford Design Thinking Research Program. He observes design teams and addresses the question of how knowledge handling in Design Thinking can be supported. Axel holds a diploma in cultural management and is as well alumnus of the HPI D-School. ( 1 stories published ) | Ericsson’s Innova System |
 |
Elina is a design thinking evangelist who has worked in the European Aviation Safety Agency. Currently she is the editor and curator of Airport Hub & Passenger eXperience and a freelance consultant on passenger experience in air travel. ( 1 stories published ) | Design Thinking at Citrix – An Interview with Julie Baher |
 |
Dana is a design thinking facilitator and digital strategy consultant with expertise launching online products in museums and education startups. ( 1 stories published ) | Embedding Design Thinking in Museums |
 |
June Gwee is Principal Researcher and Faculty Member at the Civil Service College, Singapore. Her research interests include the creative industries, strategy, innovation and narrative techniques. ( 1 stories published ) | Redesigning Employment Pass Application in Singapore |
 |
Sabine Junginger is Visiting Professor of Design at the School of Design at Jiangnan University in China and at Macromedia University of Applied Sciences. She was appointed Associate Professor at the Design School Kolding in 2012 after receiving her academic tenure from Lancaster University, where she taught and conducted research from 2007 through 2012. She has advised government initiatives (Mindlab, Denmark; DesignGov, Australia) and design initiatives (dt:transfer) and is a member of Politics for Tomorrow, an initiative focused on bridging design theory and practice with policy-making and policy implementation. ( 1 stories published ) | Early Approaches: The US Tax Forms Simplification Project |
 |
Jeanne M. Liedtka is a faculty member at the University of Virginia's Darden Graduate School of Business and former chief learning officer at United Technologies Corporation, where she was responsible for overseeing all activities associated with corporate learning and development for the Fortune 50 corporation. ( 1 stories published ) | How an Improved Food Service Creates a Better Life Quality for Elderly People |
 |
Dr. Moritz Gekeler is the founder and CEO of Dolaborate GmbH, a small innovation consultancy based in Berlin. He helps companies implement design thinking into their strategies, their organizational processes and into individual projects. Before Moritz worked as a Senior design strategist for the Design and Co-Innovation Center of SAP. He was a program manager at the HPI D-School, worked for the HPI Academy and did futures research and innovation facilitation for Daimler. ( 1 stories published ) | Enabling Collaboration – Seven Tips For Facilitators |
 |
Caroline is a social neuroscientist spending most of her time in the world of Design Thinking, co-creation and innovation. She researches at the Max-Planck-Institute for Human Development and the Berlin School of Mind and Brain, lectures at the HPI School of Design Thinking and consults a range of companies and institutions on innovation practices. ( 1 stories published ) | Reinventing Solar Energy Supply for Rural Africa |
 |
Karen is a social scientist and journalist. She studied Political and Cultural Studies and European Studies on Society, Science and Technology in Maastricht, Istanbul, and Lisbon. ( 7 stories published ) | Building Trust with Prototypes: An IoT solution at Piller |
 |
Mauro is a multi-talented Brazilian designer with focus on motion and service design. He is one of the co-founders of Boana – a product design studio for software. Prior to Boana, he has worked as in-house designer at Telekom Innovation Labs and at SAP supporting projects on research, visual, service and product design in different contexts and countries like Germany, Oman, Kenya, Brazil, Bulgaria and the U.S.A. ( 1 stories published ) | Designing Learning Environments |
| Melina Costa is a co-founder of the innovation consulting firm Coaeva. A journalist by training, she has worked in Brazil's leading newsrooms, interviewing global leaders and investigating business models. ( 1 stories published ) | A Tough Crowd: Using Design Thinking to Help Traditional German Butchers | |
| Jo'Anne Langham has qualifications in journalism and economic psychology. She is a human-centred designer and researcher with over 20 years experience in product and services design. Her focus is on improving the design of citizen centric services and making it easy for everyone to comply. ( 1 stories published ) | Failure to Launch: Learning About Design the Hard Way | |
 |
Kevin Kajitani is passionate about improving the world through new business ecosystem models that aim to close socio-economic gaps around the world. After graduating with Summa Cum Laude honors from the University of Washington with a degree in Aeronautics & Astronautics, Kevin worked as an aerodynamics engineer in the US before relocating to Japan. He now works in the Digital Design Lab at All Nippon Airways (ANA) as a innovation researcher. ( 1 stories published ) |
Be rebellious! How ANA is Utilizing Design Thinking to Connect its Past with its Future |
 |
David Hoyt has written over 100 case studies for the Stanford Graduate School of Business. Previously, he was an executive at companies, both publicly-traded and start-up, that manufacture sophisticated scientific instruments. ( 1 stories published ) | Comfortable with Feeling Uncomfortable: Innovation at the San Francisco Opera |
| Protected: Theoretical Foundations of Design Thinking Part I: John E. Arnold’s Creative Thinking Theories | ||
 |
Marc-Alexander Winter is the founder and Managing Director of SERVITIZE UG, a consultancy. Marc holds a degree in economics and is an alumnus of the HPI Certification program. |
B2B Design Thinking: Product Innovation when the User is a Network |
 |
Waste for Warmth: Upcycling Plastic Waste to Tackle the Harsh Winter Conditions in Turkey’s Refugee Camps | |
 |
Curiosity and Freestyle: Redesigning the In-Flight Meal Experience | |
| Umpqua – Slow Banking: Building a Community Experience | ||
Author: Amy Buer | Last modified: March 20, 2023
Image Sources
- Umpqua Bank, Internal Design: Umpqua Bank | CC BY 4.0
- umpqua images.pptx (6): Umpqua Bank | CC BY 4.0
- Featured image: Umpqua Bank | CC BY 4.0
References
Hakami, N. A. M. (2018). An Investigation of the Motivational Factors Influencing Learners’ Intentions to Continue Using Arabic MOOCs [Phd, University of Southampton, University Library]. https://eprints.soton.ac.uk/418819/
for a suspension of this prior knowledge in favour of the greatest possible openness to the particular meanings and rele- vances of actors. (n.d.).
Although in qualitative methodology the fact of theory-driven observation is also unques- tioned, there is a predominant rejection of hypotheses formulated in advance: precisely because there is an awareness that knowledge influences observation and action, researchers wish to avoid being ‘fixed’ by the hypotheses on particular aspects that they can only obtain ‘in advance’ from their own area of (scientific and everyday) relevance, but whose ‘fit’ with the meaning patterns of the individuals being investigated cannot be guaranteed in advance. (n.d.).
and the unavoidable selectivity of every kind of research. (n.d.).
For quantitatively oriented methodologists the formulation of hypotheses at the beginning of an investigation is an indispensable means of subjecting to systematic control the inevitable theoretical loading of every kind of observation. (n.d.).
(N.d.).
link theoretical frameworks, ques- tions, research, generalization and presentational goals with the methods used and resources avail- able under the focus of goal-achievement. (n.d.).
Research designs may ultimately be described as the means of achieving the goals of the research. (n.d.).
(N.d.).
(N.d.).
(N.d.).
(N.d.).
Figure 4.1.2 Components of qualitative research design. (n.d.).
selection of textual contexts,. (n.d.).
draw up lists of priorities related to the research questions that make it possible to select and reduce the categories. (n.d.).
After phases of open coding (see 5.13) there is often an exces- sive quantity of codes or categories. (n.d.).
The same is true of the suggestions made by Strauss (1987: 266), O’Connell and Kowal (1995a, see 5.9) and others that only parts of interviews be tran- scribed, and only as precisely as is actually required by the questions of the particular inves- tigation. (n.d.).
an interview of around 90 minutes will need as much time again for locating interview-partners, organizing appointments, and travel. (n.d.).
One factor that is frequently undervalued in the development of a research design is the avail- able resource. (n.d.).
if the goal is not to do with theory development but rather with the evaluation of institutional practice. One e. (n.d.).
are more appropriate. (n.d.).
this, theoretical sampling is considered to be the royal way for qualitative studies. Frequently, however, other selection strategies. (n.d.).
when new fields are being inves- tigated and the theoretical constructs and con- cepts are relatively undeveloped. (n.d.).
as appropriate when a large measure of experience is available of research in different fields. (n.d.).
Loose designs are characterized by somewhat broadly defined concepts and have, in the first instance, little in the way of fixed methodologi- cal procedures. Miles and Huberman see this type of design. (n.d.).
Tighter designs make it easier to decide what data or extracts from the data are relevant to the investigation and what is not relevant, and they also make it easier, for example, to compare and summarize data from different interviews or observations. (n.d.).
priate when researchers lack experience of qualitative research, when the research oper- ates on the basis of narrowly defined con- structs, and when it is restricted to the investigation of particular relationships in familiar contexts. (n.d.).
research designs are deter- mined by narrowly restricted questions and strictly determined selection procedures. (n.d.).
For the development of a typology, for exam- ple. (n.d.).
it is necessary not only to use the target selection of cases, but to include counter- examples and to undertake case-contrasts in addition to case-comparisons (cf. Kelle and Kluge 1999: 40ff.). (n.d.).
To increase the theoretical generalizability, the use of different methods (triangulation, see 4.5, 4.6, 4.7) for the investi- gation of a small number of cases is often more informative than the use of one method for the largest possible number of cases. (n.d.).
What is more informative is the question of the theoretical generalizability of the results obtained. Here the number of indivi- duals or situations studied is less decisive than the differences between cases involved (maxi- mal variation) or the theoretical scope of the case interpretations. (n.d.).
In qualitative research a distinction must be made between numerical and theoretical gener- alization. (n.d.).
It is therefore preferable to clarify which of these dimensions is the decisive one. (n.d.).
the phenomena being studied and the research question really require a comparison according to gender, age, town or country, East or West, and so on? (n.d.).
In compara- tive studies there is the question of the principal dimensions according to which particular phe- nomena are to be compare. (n.d.).
is the target a detailed analysis of as many facets as possible, or is it a comparison or a typology of different cases, situ- ations and individuals, and so on? (n.d.).
Strauss (1987: 22) character- izes the latter as ‘generative questions’. (n.d.).
But on the other hand, in the course of the project questions become more and more concrete, more focused, and they are also nar- rowed and revised (cf. Flick 2002: 64). (n.d.).
clearly and unambiguously as possible. (n.d.).
The research question of a qualitative investiga- tion is one of the decisive factors in its success or failure. The way in which it is formulated exerts a strong influence on the design of the study. (n.d.).
a design planned in advance is translated into concrete procedures or else, while in process, the design is consti- tuted and modified by virtue of the decisions in favour of particular alternatives. (n.d.).
can make a choice between a number of alternatives at various points in the process – from questions to data collection and analysis and ultimately to presentation of results. (n.d.).
The process of qualitative research may be described as a sequence of decisions (Flick 1995, 2002). (n.d.).
interesting process or state at later times of data collection. (n.d.).
longitudinal studies, which also analyse an. (n.d.).
In contrast to this, a large part of qualitative research focuses on snapshots: different mani- festations of the expertise that exists in a parti- cular field at the time of the research are collected in interviews (see 5.2, 5.3) and com- pared to one another. (n.d.).
research (see 3.6, 3.7, 5.11) is an example of a retrospective research design in which, retro- spectively from the point in time when the research is carried out, certain events and processes are analysed in respect of their mean- ing for individual or collective life-histories. (n.d.).
single case–comparative study represents one axis according to which the basic design of qualitative research may be classi- fied. (n.d.).
but rather a multiplicity of cases with regard to particular excerpts: (n.d.).