Search results for "tietämysjärjestelmät"
showing 8 items of 8 documents
Patented intelligence: Cloning human decision models for Industry 4.0
2018
Industry 4.0 is a trend related to smart factories, which are cyber-physical spaces populated and controlled by the collective intelligence for the autonomous and highly flexible manufacturing purposes. Artificial Intelligence (AI) embedded into various planning, production, and management processes in Industry 4.0 must take the initiative and responsibility for making necessary real-time decisions in many cases. In this paper, we suggest the Pi-Mind technology as a compromise between completely human-expert-driven decision-making and AI-driven decision-making. Pi-Mind enables capturing, cloning and patenting essential parameters of the decision models from a particular human expert making …
Entrepreneurial Decision-Making Logic Related to Software Development in Different Growth Phases of INVs
2019
Software-based innovations with global market-potential are the main product offering of digital-based International New Ventures, an emerging type of rapidly internationalizing firm. Despite increasing research attention on the internationalization phases of these firms, knowledge of how the characteristics of the firm’s software offerings change over time remains scarce. In this paper, we analyze how standardization, customization and localization evolve through the growth and commitment of International New Ventures in foreign markets. Specifically, we posit that an entrepreneurial decision-making logic based on a logic of effectuation or causation acts as a trigger mechanism for specifi…
Pricing of Digital Innovations as an Entrepreneurial Process
2019
How do entrepreneurs set a price for digital innovations they develop and market? This is an important question in current information society where digitalization is making established pricing models outdated. In this study, we focus on this issue by examining what kinds of activities and resources entrepreneurs possess when pricing digital innovations. Based on five case studies, including 37 interviews with key decision makers involved in the pricing process, we found that pricing of digital innovations can be conceptualized as an entrepreneurial process in which the pricing capabilities are developed based on the resources at hand. In this view, the pricing model is adjusted through neg…
Contrasting Internationalization Paths of Product- and Service-oriented Software Firms
2019
The internationalization of software firms has been widely researched topic over the last two decades. However, the most of the studies have treated software firms as a homogeneous group, ignoring the fact that software firms actually differ greatly in terms of having either a product or a service orientation. Based on earlier literature, we hypothesized that software product firms would show a tendency to internationalize earlier and at a smaller size than software service firms, and that product firms would show a greater tendency to target countries that are both geographically and culturally distant. In fact, we found no support for most of our hypotheses, with relatively strong and sta…
When Cultures Meet : Modelling Cross-Cultural Knowledge Spaces
2008
Cross-cultural research projects are becoming a norm in our global world. More and more projects are being executed using teams from eastern and western cultures. Cultural competence might help project managers to achieve project goals and avoid potential risks in cross-cultural project environments and would also support them to promote creativity and motivation through flexible leadership. In our paper we introduce an idea for constructing an information system, a cross-cultural knowledge space, which could support cross-cultural communication, collaborative learning experiences and time-based project management functions. The case cultures in our project are Finnish and Japanese. The sys…
Globally distributed knowledge sharing in social software environments : barriers and interventions
2014
Cognitive Computing supported Medical Decision Support System for Patient’s Driving Assessment
2018
To smartly utilize a huge and constantly growing volume of data, improve productivity and increase competitiveness in various fields of life; human requires decision making support systems that efficiently process and analyze the data, and, as a result, significantly speed up the process. Similarly to all other areas of human life, healthcare domain also is lacking Artificial Intelligence (AI) based solution. A number of supervised and unsupervised Machine Learning and Data Mining techniques exist to help us to deal with structured data. However, in a real life, we pretty much deal with unstructured data that hides useful knowledge and valuable information inside human-readable plain texts,…