Man vs. Machine – Deriving Customer Needs Using Machine Learning
Obtaining qualitative customer insights for innovation purposes is currently a highly manual labour-intensive process in which the use of software and automation is limited. This project, therefore, focuses on optimising the insight process by taking advantage of the advances made within the field of artificial intelligence. The possibility of implementing artificially intelligence into the insight process is demonstrated for an innovation project from Beiersdorf, on the subject of body care. The machine-driven approach developed includes: retrieving users’ online posts on the topic of body care using Support Vector Machines (SVM), while developing and training a Deep Convolutional Neural Network (CNN) to recognize customer needs within the retrieved posts, before generating relevant topics by applying an unsupervised Correlated Topic Model (CTM). The new machine-driven approach current was compared to the human-driven approach to determine the applicability in real-life. The machine-driven approach outperformed humans on specific tasks such as collecting and differentiating between enormous amounts of data, while identifying topics both accurately and objectively. However, failed in comparison to the human-driven approach regarding the creation of interesting insights and the telling of compelling narratives to boost the innovation process. Combining the two approaches to take advantage of their distinctive proficiencies will increase the value generated as operating cost and manual labour is reduced drastically.
Signe Jensen, Joint M.Sc. in Global Innovation Management from University of Strathclyde and Hamburg University of Technology
Innovation Labs to Foster Idea and Product Development: Analysis of the Design Parameters by Example of the HYVE Innovation Labs
Innovation labs are a current trend in creating the next disruptive innovation. Facilities following the concept of innovation labs are spreading around the world and have become an increasingly important factor in corporate innovation strategies. Nevertheless a systematic and academic approach to analyze the design of current innovation labs and a common understanding of the concept is still missing. This master thesis (“Innovation Labs zur Förderung der Ideen- und Produktentwicklung: Beleuchtung der Gestaltungsparameter am Beispiel des HYVE Innovation Labs“) aims to take a first step towards closing this gap by examining related concepts such as incubators, accelerators, innovation centers and living labs. Academic publications and best practices on the topic of existing innovation labs are analyzed to create a current understanding of the concept of innovation labs. By developing an Innovation Lab Morphology the basic design parameters and the various specifications therein are described. This morphology can be used for academic purposes as a tool to analyze labs by providing a systematical way to characterize existing facilities. As a further application for practitioners HYVE has developed the INNOVATION LAB CANVAS to create a hands-on tool for the setup of new labs under CC-license.
Mirko Bahrenberg is a master’s candidate at the TU Darmstadt chair of Technology and Innovation Management and research fellow at the HYVE Science Labs
The Tawny Project – Emotional intelligence for the human IoT
Imagine a world with emotionally intelligent machines, a world where products and devices know how you feel. Our ambition is to build a living environment that responds to human emotion, cognition and motivation in order to improve and facilitate people’s life. We make things empathic.
We want to realize this vision by developing affective computing technology which allows to match human’s physiological data with psychophysiological inventories to create emotional intelligence for the Internet of Things (IoT). The TAWNY projects interlinks today’s major technological challenges such as artificial intelligence (AI), digitalization of products, IoT, big data, smart robots or autonomous systems.
Enormous growth rates are predicted for the IoT sector in the upcoming years. However, most of the current solutions are concentrating on M2M communication. We want to complement these developments by putting the user at the heart of the innovation process leading to a human-centered IoT.
A Longitudinal Study on Customer Perception of Autonomous Driving through data crawling and technology acceptance models.
Autonomous Driving has been said to be the next big disruptive innovation in the years to come. Considered as being purely technology driven, it is supposed to have massive societal impact in areas such as insurance companies, laws and regulations, logistics firms, automotive industry as well as all types of transportation methods, not only expected to have an enormous environmental effect but also the possibility of saving millions of lives worldwide.
Starting with a description of the technology, main benefits, challenges, players and state of the art technologies, followed by a literature review to demonstrate the research gap regarding customer perception on the topic, this research focuses on developing a longitudinal study to understand how customer perception has evolved and changes in the following years regarding Autonomous Driving and Autonomous Driving Technologies. Through the use of innovative data crawling technologies all user developed content in the internet related with Autonomous Driving will be analyzed and related to Technology Acceptance Models, developing an easy to understand approach for its future longitudinal development. The goal of this research is to get important customer Insights as well as to create the first research of its kind on the Topic.
Juan Rosenzweig is a master´s candidate for the dual program on Global Innovation Management at Strathclyde University and Hamburg Technical University as well as a research fellow at HYVE Science Labs
From Open Innovation to Open Government: A Multi-Level Analysis of Open Government Communities
Today, complex social challenges often question the very fabric of modern society with alienated citizens and create deep-seated tensions between them and their government. This research project shows how information and communication technologies in general and Open Government communities in particular may contribute to enable unprecedented opportunities for systematically fostering civic engagement in virtual and more collaborative system environments. In opposite to the private sector, where community-based approaches have already become popular strategies for systematically implementing distributed and participatory problem solving, the public sector hesitantly started with more open, citizen orientated, and collaborative service-offerings. As a consequence, also the related research contributions remain relatively silent. Structured in four different research perspectives and based on two empirical Open Government community projects the results enrich various existing streams of literature and provide, in addition, manifold implications for practitioners.
The research project was part of Giordano Koch’s PhD Thesis at the University of Hamburg
Online Research Methods for Customer Integration in the Example of the Insurance Industry
Insurances are complex intangible services that are very difficult to understand for consumers. Additionally insurances customarily evoke negative associations and subsequently consumers do not like to deal with them. Using the netnography method, deep consumer insights regarding the field of private health insurance were generated. Based on the identified consumer insights a Online Research Community (ORC) was set up enabling selected participants to discuss the topic of “Private Health Insurance”. The ORC validated the results of the netnography to a large extent. The thesis further resulted in preliminary approaches to improve need satisfaction in consumers.Anja Öztas received her master’s degree in Economic Sciences from the Schumpeter School of Business and Economics, Bergische Universität Wuppertal and is a research fellow at the HYVE Science Labs
Why do beauty bloggers recommend and influence?
Subtitle: The “recent empties” phenomenon
What moves the predominantly young women to sacrifice a considerable amount of time and effort in order to write texts, take pictures and create videos for the purpose of discussing beauty and personal care products? The study investigates the motivational drivers of bloggers in the context of the unique interplay exemplified in the “recent empties” phenomenon. Here bloggers take on the role of recommenders who provide advice on beauty and personal care products at “eye-level” to their audience, while on the other hand inhibiting an influencer function for brands and companies. In this, the individuals behind the blogs follow their own idiosyncratic composition of motivational drivers, which are hitherto not investigated in existing literature.
The master’s thesis study provides an exploration of motivational drivers of beauty bloggers to act as influencers and recommenders online. In this a conceptual framework was developed from social-exchange theory and need based motivation theory, and tested qualitatively. The result is a useful and qualitatively tested instrument for assessing and analyzing bloggers’ motivations to partake in this interplay of interests of audience and companies. Possible application areas are influencer marketing, influencer recommender systems, and co-creation.
Kalle Kroll received his master’s degree from the Copenhagen Business School, Department of Management, Politics and Philosophy and is a research fellow at the HYVE Science Labs.
Consumer empowerment in crowdsourcing systems
Subtitle: Effects of perceived empowerment on consumers’ innovative behavior and change in brand passion
Crowdsourcing systems are increasingly used by companies to co-create new products with consumers. While consumer-brand interactions in conventional marketing campaigns are rather limited, consumers who participate in the ideation of products and intensively interact with the brand may experience strong feelings of empowerment. A sense of empowerment may arise when consumers feel they are capable of performing a meaningful task which serves a purpose they endorse and which has an impact on the brand’s innovation efforts. The research shows that this state of enhanced empowerment not only affects the innovative behavior of consumers, but also has an impact on emotive consumer-brand relationships. Specifically, the work provides empirical evidence that individual consumers’ empowerment experienced in a real-world crowdsourcing initiative has a positive effect on the quality of consumers’ submissions. Additionally, data reveals that perceived empowerment is positively associated with a change in brand passion increasing the level of passion consumers feel towards the host brand in the course of their participation. The results suggest that consumer empowerment is a favorable psychological state which is crucial in crowdsourcing systems as it offers brands new opportunities to co-create better ideas and build strong, passionate relationships with consumers.
User Driven Innovation in the Health Care Sector
Subtitle: How Online Communities can be Utilized as Source for Digital Innovation
As the trend in the health care is going towards eHealth and quantified self, the health industry needs to rapidly develop new products to satisfy the quickly changing and growing needs of the user. To support this development, user innovations can be included to shorten and facilitate the innovation process. The research study consists of an empirical research with the method Netnography to identify digital user innovations for the health care sector in online communities.
The aim is to analyse the identified innovations regarding the type of innovation, the characteristics of the innovators and the online community where the innovation was figured out. Results of the study show that patients and relatives with the characteristics of lead user freely reveal their developments in online communities. Not only ideas, concepts or prototypes are revealed but also finalized products that can be further developed by user oriented companies.
Netnography – Online Communities as Source of Innovation
The Future of Augmented Reality – An Open Delphi and Web Monitoring Study
Augmented Reality is an emerging technology becoming state-of-the-art in a great variety of application scenarios. Although, the technology is at a point where it is mature enough to be used in publicly available consumer applications, the real commercial breakthrough of Augmented Reality is still lacking. This study remedies the prevailing lack of consumer research in this area through the conduction of a novel web monitoring method. The population of 48,560 consumer comments published until July 2013 on English speaking online community websites treating the topic Augmented Reality, were extracted and analyzed. Apart from the consumers’ perception of Augmented Reality the expert view has been investigated. Therefore, an innovative deviation of the Delphi technique has been employed by integrating an Online Research Community in the last round of a conventional Delphi procedure. Highly influential experts, being the drivers of Augmented Reality development, were consulted.Hanna Stockinger is a research fellow of the HYVE Science Labs and PhD candidate at the Ulm University
Daily Happiness – The Analysis of Happiness Using Daily Mobile Panel Data
A Context Aware Recommender System Based on Mood Extraction
The thesis is three-fold. First we will conduct a study to collect movement data and measure the participants’ moods. Second we will create a mood extraction system which will be able to infer the mood by analyzing the activity data and third we will provide an example implementation of a context aware recommander system using a user’s mood to give personalized recommendations.Daniel Richter is a master’s candidate at the TU Munich chair of software engineering and research fellow at the HYVE Science Labs.