Tuottavuusloikka sosiaalisen median avullaJari Jussila
Tuottavuusloikka sosiaalisen median avulla, Heli Aramo-Immosen esittämänä TiedeAreena 2015 tutkimusseminaarissa 25.9.2015. Tampereen teknillinen yliopisto: Novi tutkimuskeskus, BENI tutkimusryhmä & IISLab.
Does strategic and innovative fit indicate smart social media use in a companyJari Jussila
IFKAD 2016 presentation: Does strategic and innovative fit indicate smart social media use in a company? We investigated the relationship between strategic management, innovation management and social media use. Study was conducted in collaboration with Tampere University Technology (Industrial Management and Engineering & Information Management and Logistics) and University of Calabria (Department of Mechanical, Energy and Management Engineering). Co-authors include Heli Aramo-Immonen, Olli Rouvari, Pasi Porkka and Salvatore Ammirato.
Tunteita hyödyntävä liiketoiminta @SomeTime_2016: Tunteita aidosti hyödyntävä liiketoiminta jää puolitiehen, ellei yrityksellä ole keinoja ymmärtää ja hyödyntää myös negatiivisia tunteita.
This document summarizes a lecture on using social media for business-to-business innovation. It discusses how social media provides new opportunities for real-time collaborative design and virtual face-to-face interactions using virtual objects. The research aims to study how companies operating in business-to-business markets can use social media in their customer interface and innovation processes, as well as how social media can be used to involve external actors in innovation. The implications are that social media can improve customer knowledge and understanding in business-to-business contexts through new ways of interacting with customers, and can help reduce the time needed to develop products.
Sosiaalisen median luova hyödyntäminen teollisuudessaJari Jussila
Sosiaalisen median luova hyödyntäminen teollisuudessa
Teollisen luovuuden polku -seminaari 25.9.2012
Jari Jussila, Tampereen teknillinen yliopisto, SOITA-hanke. Lähteitä päivitetty 30.11.2012.
Diffusion in platform-based markets: big data driven agent-based modelJari Jussila
Presentation of case study: Diffusion in platform-based markets: big data driven agent-based model based on Huotari et al. 2014 in Industrial Big Data Business Morning 10.2.2015 at Tampere University of Technology
Kohti kokonaisvaltaista ja transformatiivista pedagogiikkaa.pdfJari Jussila
Kohti kokonaisvaltaista ja transformatiivista pedagogiikkaa: Sustainable Product Development Project tapausesimerkkinä transformatiivisesta pedagogiikasta. Pedaforum 2024 esitys 6.6.2024, Jari Jussila & Mona-Anitta Riihimäki.
Open Data and Standard APIs learning material for iCOINS: Industry 4.0 competences for SMEs - Awareness raising tools - project. The iCOINS project aimed at developing common EU competences for raising awareness of SMEs on Industry 4.0 through an innovative Training Course. The primary target groups are VET teachers, trainers and mentors. Additionally, iCOINS serves the needs of SMEs staff, higher education staff and students, vocational institutions, vocational higher education institutions/teachers, public administration staff.
HAMK Design Factory and Product Development Project 21Jari Jussila
The document describes an interdisciplinary product development project course at HAMK Design Factory from October 27, 2020 to March 12, 2021. The 15-credit course involves problem-based and co-creative learning in an interdisciplinary setting and international context. Students can earn credits by actively participating as team members, attending workshops, or taking on special roles like project manager. The course follows the co-creation pedagogy model of HAMK Design Factory and aims to provide real-world product development experiences.
Cognitive computing approaches for human activity recognitionJari Jussila
Cognitive computing approaches for human activity recognition from tweets - A case study of Twitter marketing campaign. Presentation at Rii Forum, April 25, 2019, Rome.
Social media analysis and document based researchJari Jussila
This document provides an overview of document-based research methods and examples of analyzing secondary data sources like social media for business intelligence purposes. It discusses using documents that were created for other purposes, issues to consider, and common public and company-specific data sources. Examples include analyzing the sentiment of tweets about companies; comparing Twitter sentiment to polls; examining language used by an organization and its audience on social media; and identifying emotions and communication styles in social media content.
1) Social media can significantly increase the visibility, downloads, and citations of research publications and other work. Sharing publications and research on social media platforms like Twitter can lead to more than 10 times the downloads compared to works not shared online.
2) The number of citations a researcher receives is impacted by their social media presence. One researcher found growth in their own citations correlated with increased social media use. Metrics like the h-index are also influenced by social visibility and are being used more in evaluating researchers.
3) Researchers are encouraged to create profiles on social media platforms for academics to raise their visibility and credibility. Sharing work and building an online community can multiply the impacts on downloads, citations, and career advancement
Towards ecosystem for research and development of electrodermal activity appl...Jari Jussila
Towards ecosystem for research and development of electrodermal activity applications, presentation at Academic Mindtrek Conference 2018, October 10, Tampere. Authors Jari Jussila, Niina Venho, Henna Salonius, Jarkko Moilanen, Jari Liukkonen & Mikael Rinnetmäki.
Visualising maritime vessel open data for better situational awareness in ice...Jari Jussila
Visualising maritime vessel open data for better situational awareness in ice conditions. Authors: Jari Jussila, Timo Lehtonen, Jari Laitinen, Markus Makkonen & Lauri Frank. Academic Mindtrek Conference 2018, October 10.
The document summarizes key points from several sources on using customer emotions data and experiences to create value through novel ecosystem-level collaboration. It discusses how fully emotionally connected customers are 52% more valuable than merely satisfied customers based on metrics like purchases and usage. It then outlines the DEEVA project which aims to advance understanding and predictive capabilities of customer behavior through interdisciplinary collaboration and tools like sentiment analysis, visualization, and storytelling to help companies better design services, products, and strategies.
Application for pre-processing and visualization of electrodermal activity we...Jari Jussila
Application for pre-processing and visualization of electrodermal activity wearable data, presentation at 12.6.2017 13:15-14:45 Sonaatti 2, Tampere Hall, Tampere, Finland. EMBEC 2017 conference track on Data Based Analytics in Health care: From Sensors to Big Data.
A bibliometric study on authorship trends and research themes Jari Jussila
A bibliometric study on authorship trends and research themes in knowledge management literature - presentation at IFKAD 2017 Conference 7 June 2017, Saint Petersburg, Russia
Big social data analytics - social network analysis Jari Jussila
This document discusses social network analysis and visualization of Twitter data using tools like Gephi. It provides steps to collect Twitter data using an API script, create a network file from the data, and calculate network metrics and visualize the network in Gephi. Key aspects covered include extracting tweet data, creating a network file with NetworkX, uploading files to PythonAnywhere to run the script, and analyzing and visualizing the resulting network in Gephi to understand information diffusion on Twitter.
Rakennetun ympäristön sähköinen asiointipalvelu kuntien tiedolla johtamis...Jari Jussila
Jussila, J., Sillanpää, V., Helander, N., Lehtonen, T. and Krekola, L. (2016). Rakennetun ympäristön sähköinen asiointipalvelu kuntien tiedolla johtamisen vauhdittajana. Tietoasiantuntija. Vol 31, Nro 5, pp. 22-23.