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Background: Emerging in December 2019, the COVID-19 pandemic profoundly changed consumer behaviour leading to social distancing and mitigating physical contact. Statistics show an increased use of contactless and mobile payment usage and adoption during the pandemic. It is unclear how valid previous models on mobile payment adoption explain adoption behaviour in emergency situations. While there are few studies approaching the adoption behaviour during the pandemic, there is also little previous research on mobile payment adoption prior to the pandemic in Germany. Purpose: The present thesis intends to advance several previously researched technological adoption frameworks to focus on and measure consumers’ perception of mobile payment technology adopting during the COVID-19 pandemic. Hence, our model provides a basis to understand mobile payment adoption in Germany during the pandemic. Method: Based on hypotheses derived from an adapted UTAUT2 model, we conducted quantitative deductive research reaching 258 questionnaire participants based in Germany. The empirical data was analysed through structural equation modelling. Conclusion: The findings show that Performance Expectancy still represents the primary driver of intention to adopt mobile payments during the pandemic, yet it is strongly supported by the initially contextualised Contamination Avoidance element and complemented by Habit, Effort Expectancy. Practitioners benefit from the study to better tailor campaigns in accordance with the main driver of adoption behaviour, while our findings contribute new insights into technology adoption in Germany during emergency situations.

Pregnancy is a sensitive period in women’s lives; pregnant women encounter various physical changes and emotional challenges during pregnancy. The vision for Sweden’s eHealth initiative is to be the best in the world in using eHealth to make it easier for people to achieve a healthy wellbeing and equal welfare by 2025. However, there is a lack of empirical studies in the area, especially studies associated with both eHealth and pregnancy in a Swedish context. Therefore, the thesis intended to seek the factors that affect a pregnant woman to adopt an eHealth innovation by applying qualitative interviews. Eleven women were selected including both women who are currently pregnant and women who have experienced pregnancy in recent years. Semi-structed interviews were chosen to gain more in-depth insights of the challenges during pregnancy. The data analysis followed the framework of Unified theory of acceptance and use of technology (UTAUT). Rogers’ innovation diffusion theory was discussed in relation to the study as well. The results based on the date from the study showed that the real drive for pregnant women to adopt an eHealth innovation is the dissatisfaction with the current solution, namely prenatal care in the Swedish public health care system. Other moderating factors that affect their intention for adoption are relevant knowledge, expertise support and trialability. The results revealed that women with foreign background were more likely to be dissatisfied with prenatal care in Sweden, and that professionals’ involvement in using the innovation and the possibility of experimenting with it will increase the intention of innovation adoption. Age, experience, and personality were not supported in having an impact on innovation adoption in this study. The limitations of the study are transferability and confirmability, where credibility, dependability and authenticity are high in this study.

Durante los últimos meses, el COVID-19 ha generado diversos cambios en el ámbito económico, social y personal de la sociedad. Tanto en el Perú como en todos los países del mundo se enfrentan a un entorno cambiante que los forza a adaptarse a los nuevos hábitos de vida y de consumo. De este modo, los rubros más importantes y básicos de la sociedad se vieron en la obligación de incurrir a nuevas formas de atención al consumidor, sin dejar la buena experiencia de consumo y de calidad de servicio para el usuario. El presente artículo destaca un enfoque en la intención de uso de plataformas eHealth, a partir del modelo UTAUT 2. Del mismo modo, nos basamos en la revisión de la literatura de los constructos incorporados en el modelo UTAUT 2 en un contexto pandémico que permitirá comprender los factores de la adaptación e intención de uso de las herramientas tecnológicas eHealth. / In recent months, COVID-19 has generated various changes in the economic, social and personal sphere of society. Both in Peru and in all the countries of the world they face a changing environment that forces them to adapt to new habits of life and consumption. In this way, the most important and basic areas of society were forced to incur new forms of customer service, without leaving a good consumer experience and quality of service for the user. This article highlights a focus on the intention to use eHealth platforms, based on the UTAUT 2 model. In the same way, we are based on the literature review of the constructs incorporated in the UTAUT 2 model in a pandemic context that will allow us to understand the factors of adaptation and intention to use eHealth technological tools. / Trabajo de investigación

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The swift progression of technology has radically reshaped our lives, becoming a big part of our daily routines and paving the way for advancements in communication, automation, and information processing. OpenAI, a company at the forefront of artificial intelligence since 2015, has made remarkable strides towards making AI accessible and beneficial for all (OpenAI, n.d.). A notable accomplishment in their journey has been the development of Chat Generative Pre-trained Transformers (ChatGPT). This study aims to identify and explore the factors influencing students' acceptance and use of ChatGPT in academic settings. Despite the rising prominence of ChatGPT across various disciplines, understanding its acceptance and utilization, particularly within the sphere of higher education, remains limited. ChatGPT holds immense potential as a valuable asset for both students and educators. Utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT) and a quantitative research approach, investigating these factors. The results suggest that student acceptance and use lies in Behavioral Intention, while Behavioral Initiation is influenced by both Effort Expectancy and Performance Expectancy.

This study presents the results of an exploratory study investigating the current level of awareness of blockchain technology among IT administrative staff and educators in the context of higher education in Sweden, by employing a qualitative method for data collection. This study has gained useful insight and perspective of participants’ level of understanding of blockchain technology in the context of higher education.The results demonstrate varied awareness levels of participants by highlighting the level of understanding about blockchain technology and their attitude towards acceptance of it. The study also sheds some light on the challenges associated with blockchain from the perspective of the participants. The study has tried to identify viable solutions to improve the acceptance and gradual adoption of blockchain technology in higher education.In conclusion, the results indicate that existing frameworks like the Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) could be extended by adding a perception of cost to understand the acceptance and adoption of blockchain technology in the context of higher education. Further research is required to investigate the importance of cost perspective to UTAUT and TAM models and its relevance in the context of blockchain technology in higher education. Furthermore, the study suggests that addressing the knowledge gap by producing and distributing educational resources and programs focused on blockchain technology could raise the awareness level and understanding among various stakeholders in higher education which will help in the gradual adoption of blockchain technology in higher education.

ChatGPT is a newly launched Artificial Intelligence (AI) powered model with several functions, providing the user with human-like responses. Recently, ChatGPT have gain a lot of recognition and popularity. The aim of this research is to examine the perceptions of ChatGPT from a Swedish professional service workers (PSW) perspective. More precisely, the study explores how the usage of ChatGPT in regard to supporting various work tasks is perceived. Additionally, the aim is to examine what factors could influence the perceptions regarding the model, and how the information provided is viewed by PSWs. The research uses a qualitative approach, and the data is collected through semi-structured interviews. Moreover, the study uses a thematic analysis for the analysis of data gathered. Additionally, the study uses Unified Theory of Acceptance and Use of Technology (UTAUT) to explore the factors influencing PSWs perception of ChatGPT. The findings show that PSWs believed that ChatGPT could be used to support some of their work tasks. The model was seen as easy to use and had its benefits, such as perceived increased productivity and efficiency. However, the findings also indicate that there are several challenges that could influence the overall usage of ChatGPT. Overall, both performance expectancy and effort expectancy showed to be important factors of the evaluation of ChatGPT usage in this study. Moreover, the findings indicate that the functions and information provided by ChatGPT could influence the perceptions. For example, lack of references, lack of human touch, and security issues were found to influence the interviewed PSWs. Additionally, the study concludes that there are several perceived areas of improvements regarding ChatGPT. This research contributes with knowledge about ChatGPT from a PSWs perspective and how it could be used for work related tasks.

Addressing the shortage of healthcare professionals is critical for improving access to safe surgery in low- and middle-income countries. Patient safety precautions in surgical training include restricting the number of trainees present in the operating room, imposing limitations on how many surgeons can be trained simultaneously. The use of head-mounted cameras is suggested as a means to enhance and make surgical training more accessible by enabling remote viewing of surgical procedures from the surgeon's point-of-view. This research explores healthcare professionals' acceptance of incorporating a head-mounted smart camera as a complementary tool in surgical training. The case study, conducted during three surgical training workshops in Kenya and Ethiopia, utilized a modified UTAUT model. Questionnaires and five semi-structured interviews were employed, revealing a high level of technology acceptance. While some drawbacks were noted, overall positivity was expressed. The smart camera did in many ways align well with the needs of surgeons and anesthesiologists. Challenges mainly revolved around facilitating conditions such as poor connectivity and costs. Although the smart camera in many aspects enhanced the efficiency of surgical training, the findings highlight its inability to fully replace direct observation in the operating room.

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