The Potential of Neuroscience for Human-Computer Interaction Research

Due to the increased availability of both neuroscience methods and theories, Information Systems (IS) scholars have begun to investigate the potential of neuroscience for IS research. This new field of research is referred to as NeuroIS. Moreover, large technology companies (e.g., Microsoft and Philips) started research programs to evaluate the potential of neuroscience for their business. The application of neuroscientific approaches is also expected to significantly contribute to advancements in human-computer interaction (HCI) research. Against this background, a panel debate is organized to discuss the potential of neuroscience for HCI studies. The panel hosts an intellectual debate from different perspectives, both conceptually (from behaviorally-oriented research to design science research) and methodologically (from brain imaging to neurophysiological techniques), thereby outlining many facets that neuroscience offers for HCI research. The panel concludes that neuroscience has the potential to become an important reference discipline for the field of HCI in the future

Designing an ICT tooling platform to support SME business model innovation: Results of a first design cycle

Business model innovation (BMI) is becoming increasingly relevant for enterprises as they are faced with profound changes like digitalization. While business model thinking in academia has advanced, practical tooling that supports business model innovation for small and medium sized enterprises (SMEs) is still lacking. In this paper, we design, implement and evaluate an online platform with ICT-enabled tooling that supports business model innovation by SMEs. Based on interviews with ten SMEs and SME helpers, we define requirements for the BMI tooling platform. The implemented platform offers downloadable tools, decision support for finding the proper tooling, and interactive features for building communities of SMEs. Evaluation through log data analysis and informal interviews shows that the platform is usable and provides a relevant overview of BMI tooling, although several improvements are still suggested. As next steps, we will (1) create prefilled tools and templates to speed up the process of BMI; (2) create educational videos on how to use the tooling; (3) define paths on how to move from one tool to another; and (4) enhance the community features on the platform. The paper contributes to understanding how academic conceptualizations of BMI can be transferred into practically valuable artefacts for SMEs

Business Model Innovation Paths and Tools

There is a multitude of tools available for Business Model Innovation (BMI). However, Business models (BM) and supporting tools are not yet widely known by micro, small and medium sized companies (SMEs). In this paper, we build on analysis of 61 cases to present typical BMI paths of European SMEs. Firstly, we constructed two paths for established companies that we named as \u27I want to grow\u27 and \u27I want to make my business profitable\u27. We also found one path for start-ups: \u27I want to start a new business\u27. Secondly, we suggest appropriate BM toolsets for the three paths. The identified paths and related tools contribute to BMI research and practise with an aim to boost BMI in SMEs

NeuroIS: Hype or Hope?

This panel discusses the opportunities and challenges of applying cognitive neuroscience theories, methods, and tools to inform IS theories, methods, and data (termed “NeuroIS”). Given the ability of cognitive neuroscience to localize the functionality of brain areas that underlie higher-order human processes using functional neuroimaging tools, many social scientists in economics, psychology, and marketing use such tools to derive many interesting insights by opening the “black box” of the brain. Recently in the IS discipline, there have been some attempts to explore the potential of cognitive neuroscience for IS research (e.g., Dimoka, Pavlou, and Davis 2007). The purpose of this panel is to explore the potential of cognitive neuroscience and functional neuroimaging tools for IS research, and consistent with the theme of this year’s ICIS, suggest whether and how NeuroIS may help IS academics conduct IT research that really matters. This panel will host an intellectual debate on the opportunities and challenges of employing cognitive neuroscience and functional neuroimaging tools in IS research. The panelists come from different disciplines (Marketing, IS, Neuroscience), theories (technology adoption, IS economics, IT productivity, design science), and methods (behavioral/organizational, economics, technical), and they will discuss how IS theories and methods in their respective areas can be complemented by cognitive neuroscience theories and neuroimaging data. They will also debate the potential of physiological data for IS research, the pros and cons of functional neuroimaging tools, and whether NeuroIS can help IS researchers do research that they could not do with other means. The panel will have a broad appeal to IS researchers who may be interested in the potential of cognitive neuroscience for IS research but they are concerned about the challenges associated with using neuroimaging tools. The panel will debate whether NeuroIS can help IS researchers learn more than they already know, and whether, how, and when cognitive neuroscience will prove beneficial for IS research. The panel will also debate whether and how NeuroIS can contribute to IS research, whether and how the IS field can benefit by cognitive neuroscience theories, and what research questions could arise from using neuroimaging tools in IS research. The panel’s ultimate goal is to gauge whether NeuroIS is “hype or hope,” aiming to conclude whether NeuroIS could provide valuable opportunities for IS research, or whether the challenges associated with neuroimaging tools will impede their wide usage

Data Service Cards - A supporting tool for Data-Driven Business

In the future, every successful company must have a clear idea of what data means to it. The necessary transformation to a data-driven company places high demands on companies and challenges management, organization and individual employees. In order to generate concrete added value from data, the collaboration of different disciplines e.g. data scientists, domain experts and business people is necessary. So far few tools are available which facilitate the creativity and co-creation process amongst teams with different backgrounds. The goal of this paper is to design and develop a hands-on and easy to use card-based tool for the generation of data service ideas that supports the required interdisciplinary cooperation. By using a Design Science Research approach we analysed 122 data service ideas and developed an innovation tool consisting of 38 cards. The first evaluation results show that the developed Data Service Cards are both perceived as helpful and easy to use