Facebook marketing is becoming an increasingly important tool for companies to influence consumer decision-making. However, there is currently little empirical knowledge about the extent of influence of Facebook marketing on the decision-making process of consumers. This study contributes to these gaps in the literature and investigates the influence of Facebook marketing activities on the decision-making process of consumers. The theory revealed four Facebook marketing activities that affected the first two phases of the decision-making process. These Facebook marketing activities were advertisements, recommend/share, likes and reviews. Whether they actually had an impact has been tested with the help of survey among 112 respondents. The results of the regression analysis showed that all four Facebook marketing activities had a positive influence on the decision-making process. https://scholarspace.manoa.hawaii.edu/bitstream/10125/64054/1/0252.pdf
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The field of data science and artificial intelligence (AI) is growing at an unprecedented rate. Manual tasks that for thousands of years could only be performed by humans are increasingly being taken over by intelligent machines. But, more importantly, tasks that could never be performed manually by humans, such as analysing big data, can now be automated while generating valuable knowledge for humankind
The way that innovation is currently done requires a new research methodology that enables co-creation and frequent, iterative evaluation in realworld settings. This paper describes the employment of the living lab methodology that corresponds to this need. Particularly, this paper presents the way that the Amsterdam University of Applies Sciences (HvA) incorporates living labs in its educational program with a particular focus on ambient intelligence. A number of examples are given to illustrate its place in the university’s curriculum. Drawing on from this, problems and solutions are highlighted in a ‘lessons learned’ section.
Developing a framework that integrates Advanced Language Models into the qualitative research process.Qualitative research, vital for understanding complex phenomena, is often limited by labour-intensive data collection, transcription, and analysis processes. This hinders scalability, accessibility, and efficiency in both academic and industry contexts. As a result, insights are often delayed or incomplete, impacting decision-making, policy development, and innovation. The lack of tools to enhance accuracy and reduce human error exacerbates these challenges, particularly for projects requiring large datasets or quick iterations. Addressing these inefficiencies through AI-driven solutions like AIDA can empower researchers, enhance outcomes, and make qualitative research more inclusive, impactful, and efficient.The AIDA project enhances qualitative research by integrating AI technologies to streamline transcription, coding, and analysis processes. This innovation enables researchers to analyse larger datasets with greater efficiency and accuracy, providing faster and more comprehensive insights. By reducing manual effort and human error, AIDA empowers organisations to make informed decisions and implement evidence-based policies more effectively. Its scalability supports diverse societal and industry applications, from healthcare to market research, fostering innovation and addressing complex challenges. Ultimately, AIDA contributes to improving research quality, accessibility, and societal relevance, driving advancements across multiple sectors.
Background:Many business intelligence surveys demonstrate that Digital Realities (Virtual reality and Augmented Reality) are becoming a huge market trend in many sectors, and North America is taking the lead in this emerging domain. Tourism is no exception and the sector in Europe must innovate to get ahead of the curve of this technological revolution, but this innovation needs public support.Project partnership:In order to provide labs, startups and SMEs willing to take this unique opportunity with the most appropriate support policies, 9 partner organizations from 8 countries (FR, IT, HU, UK, NO, ES, PL, NL) decided to work together: regional and local authorities, development agencies, private non-profit association and universities.Objective of the project:Thanks to their complementary experiences and know-how, they intend to improve policies of the partner regions (structural funds and regional policies), in order to foster a tourist channeled innovation in the Digital Realities sector.Approach:All partners will work together on policy analysis tasks before exchanging their best initiatives and transferring them from one country to another. This strong cooperation will allow them to build the best conditions to foster innovation thanks to more effective structural funds policies and regional policies.Main activities & outputs:8 policy instruments are addressed, among which 7 relate to structural funds programmes. Basis for exchange of experience: Reciprocal improvement analysis and 8 study trips with peer-review of each partner’s practices. Video reportages for an effective dissemination towards other territories in Europe.Main expected results:At least 16 good practices identified. 8 targeted policy instruments improved. At least 27 staff members will transfer new capacities in their intervention fields. At least 8 involved stakeholders with increased skills and knowledge from exchange of experience. Expected 17 appearances in press and media, including at European level.
A world where technology is ubiquitous and embedded in our daily lives is becoming increasingly likely. To prepare our students to live and work in such a future, we propose to turn Saxion’s Epy-Drost building into a living lab environment. This will entail setting up and drafting the proper infrastructure and agreements to collect people’s location and building data (e.g. temperature, humidity) in Epy-Drost, and making the data appropriately available to student and research projects within Saxion. With regards to this project’s effect on education, we envision the proposal of several derived student projects which will provide students the opportunity to work with huge amounts of data and state-of-the-art natural interaction interfaces. Through these projects, students will acquire skills and knowledge that are necessary in the current and future labor-market, as well as get experience in working with topics of great importance now and in the near future. This is not only aligned with the Creative Media and Game Technologies (CMGT) study program’s new vision and focus on interactive technology, but also with many other education programs within Saxion. In terms of research, the candidate Postdoc will study if and how the data, together with the building’s infrastructure, can be leveraged to promote healthy behavior through playful strategies. In other words, whether we can persuade people in the building to be more physically active and engage more in social interactions through data-based gamification and building actuation. This fits very well with the Ambient Intelligence (AmI) research group’s agenda in Augmented Interaction, and CMGT’s User Experience line. Overall, this project will help spark and solidify lasting collaboration links between AmI and CMGT, give body to AmI’s new Augmented Interaction line, and increase Saxion’s level of education through the dissemination of knowledge between researchers, teachers and students.
