In times when traditional saving accounts are no longer attractive due to the current interest rates, robo-advisors appears to be an alternative investment utility. Robo-advisor has made investment advisory services available to the general public by offering automated system to allocate assets that is tailored to each individual’s investment needs and risk profile. The successful implementation of robo-advisors depends heavily on the extent of how much customers are fully motivated to use these services. The purpose of this study is to identify factors that affect Swedish consumers intention to use robo-advisors using UTAUT (unified theory of acceptance and use 2) with the extended factors perceived risk and trust. The results indicate that performance expectancy, facilitating conditions, hedonic motivation and perceived risk influence how Swedish consumers formulate their behavioral intention to use robo-advisors. / I samband med det låga ränteläget har traditionella sparkonton blivit mindre attraktiva och genererat en ökad efterfråga bland konsumenter på nya investeringsalternativ. Finansiell robotrådgivning har gjort investeringsrådgivning tillgängligt för allmänheten genom att erbjuda automatiserade system för portföljförvaltning. Framgångsrik etablering av finansiella robotrådgivningstjänster beror i vilken utsträckning potentiella kunder är motiverande att börja använda dessa system. Syftet med denna studie är att undersöka vilka faktorer som påverkar svenska konsumenters intention till användning av finansiella robotrådgivningstjänster. Studiens undersökningsmodell är baserad på the unified theory of acceptance and use 2 (UTAUT2), med adderade faktorer: uppfattad risk och tillit. Data samlades in via en surveyundersökning och tolkades med hjälp av Partial Least Square Structual Equation Modelling (PLS-SEM). Resultatet indikerar att förväntad prestation, underlättande förutsättningar, hedonisk motivation och uppfattad risk har betydande effekt för hur intention till användning formas.

La presente investigación, tiene como objetivo determinar la influencia de los factores de la teoría unificada UTAUT2; facilidad de uso, utilidad percibida, información de calidad, riesgo percibido, influencia social y confianza sobre la intención de recompra en consumidores millennials de un aplicativo de delivery en la ciudad de Chiclayo. Lamentablemente hoy en día existen escazas investigaciones enfocadas en los aplicativos de delivery, así mismo hay pocos estudios que se enfocan en la intención de recompra. Se aborda un enfoque cuantitativo, debido a que se medirá de manera estadística la relación de causa-efecto de las variables mencionadas. Además, cuenta con un diseño no experimental y de nivel explicativo. La población de estudio son los consumidores millennials que pertenecen a la ciudad Chiclayo, que hayan realizado compras en el aplicativo durante el último mes. Se trabajó con una muestra de tipo intencional, es decir, elegidos de acuerdo con el juicio del investigador. Posteriormente, se procedió a utilizar la técnica estadística de Regresión Logística binaria, para responder a los objetivos planteados y aceptar o denegar las hipótesis propuestas, de tal forma, se obtuvo como resultado que la facilidad de uso elevada, la utilidad y el riesgo percibidos elevado resultaron significativas para la intención de recompra. / This research aims to determine the influence of the factors of the unified theory UTAUT2; ease of use, perceived usefulness, quality information, perceived risk, social influence and trust on the intention to repurchase in millennial consumers of a delivery application in the city of Chiclayo. Unfortunately, nowadays there is little research focused on delivery applications, and there are few studies that focus on repurchase intention. A quantitative approach is used, since the cause-effect relationship of the mentioned variables will be measured statistically. In addition, it has a non-experimental and explanatory design. The study population are millennial consumers belonging to the city of Chiclayo, who have made purchases in the application during the last month. We worked with a purposive sample, i.e., chosen according to the researcher's judgment. Subsequently, the statistical technique of binary Logistic Regression was used to respond to the objectives set and to accept or deny the proposed hypotheses. The results showed that high ease of use, high perceived usefulness and high perceived risk were significant for the intention to repurchase.

Background: The market of mHealth has been growing steadily over last years, but in China, the market is not very mature, and the low level of popularity negative impact on the development. But it should be noted that the market has great potential with positive development background, the policy support by government, the widely used of smartphone and the Internet and especially the huge demand of mHealth in China.   Purpose: The purpose of the study was to reveals Chinese mHealth industry, to measure and understand the relationship between different factors that influencing the acceptance of mHealth apps in the case of Chinese users.   Method: This study was based on the UTAUT2 Model and a quantitative methodology was followed. The author excluded price value and habit from the original UTAUT and added privacy and security factor. A primary data collection was conducted through a questionnaire in this research. Suitable respondents were those individuals who needed healthcare services, and due to the budget and time limitation, a convenience sampling technique was used.   Conclusion:       The findings show that social influence makes the strongest contribution to explaining users’ acceptance of mHealth app in China. The whole ranking of the factors (from strong to weak) is social influence > privacy and security > facilitating condition > performance expectancy. And except privacy and security, other factors are all positively affect the acceptance of Chinese mHealth app users. Organisations can use these findings to improve the design of mHealth apps in the future.

Artificial intelligence has grown in importance in many application areas. However, the application in the education sector is in an embryonic state, where a variety of trials has been conducted. The purpose of this master’s thesis is to investigate the factors that influence the acceptability of AI chatbots by university students in higher education which might point subsequently to the lack of usage. The study also suggests the most appropriate communication areas of AI chatbot application in higher education suggested by students. For this study, the unified theory of Acceptance and Use of technology 2 (UTAUT2) has been compiled with the qualitative data gathered from semi-structured interviews and questionnaire surveys. The study participants are university students from various countries (Sweden, Norway, Finland, Czech Republic). The findings showed three primary constructs: Performance expectancy (PE), Effort expectancy (EE), and a newly proposed construct, Nonjudgmental expectancy (NE), to significantly predict intention to use AI chatbot technology without education intentionality. Students suggested using AI chatbots for recap of course material, study material recommendation, and exam and requirements information.  Furthermore, this study provides a rationale behind AI chatbot acceptability based on students' generation characteristics. The results can guide universities to incorporate innovative solutions into their organization.

Background: Retailing through Virtual Reality (VR) is faced with a dilemma of potential customers using the VR to look for products online, but somehow do not make a purchase online and prefer to visit the physical stores instead. This phenomenon is referred as Transition Risk. Aim: To develop an understanding regarding the concepts and factors that influence the occurrence of transition risk by using UTAUT2 framework. Identify those concepts and thus be able to assist retailers in diminishing the transition risk gap. Methodology: Is a quantitative study that involves an experiment followed by a questionnaire as the research instrument. The data was analyzed through regression analysis by using SmartPLS 3.0 as the data analysis tool for SEM. An exploratory research design for the cross-sectional study of a small sample of 45 people experimented. Findings: Findings of the research suggest that transition risk has a direct relation with the UTAUT2 constructs: performance expectancy, effort expectancy, facilitating conditions, social influence, hedonic motivation, and habit of the consumer. Moreover, absence of familiarity with VR retailing, social influence and consumer’s habit of web-rooming and retail therapy are significant contributors towards transition risk. Furthermore, UTAUT2 framework can also be used to identify reason for no usage and/or abandoning of use technology.

Yes / The extended unified theory of acceptance and use of technology (UTAUT2) is less than ten years old and has already garnered more than 6,000 citations with extensive usage in information systems and beyond. This research employed cited reference search to systematically review studies that cited UTAUT2 originating article. Based on UTAUT2 usage, the downloaded articles were classified into four categories such as: 1) General citation, 2) UTAUT2 application, 3) UTAUT2 integration, and 4) UTAUT2 extensions. Weber's (2012) theory evaluation framework revealed UTAUT2 as a robust theory on most dimensions except for parsimony arising from the complex model. UTAUT2 extensions emerged as popular UTAUT2 utilization category as researchers extended the model with context specific variables. Finally, UTAUT2 extensions were mapped to Johns' (2006) context dimensions to identify various limitations of the existing technology adoption research and to provide multi-level framework for future researchers with libraries of context dimensions.

yes / ‘Habit’ was the most important theoretical addition into UTAUT2 to challenge the role of behavioural intention as a lone predictor of technology use. However, systematic review and meta-analysis of Price value the other UTAUT2 additional construct revealed major inconsistency of the model with just 41% UTAUT2 based studies including the construct in their research. Thus, the aim of this research is to understand the appropriateness of ‘habit’ construct usage among UTAUT2 based empirical studies and their reason for omission or inclusion. The findings from 66 empirical studies revealed only 23 studies a meagre (35%) utilised ‘habit’ construct and the remaining massive 43 studies (65%) excluded the construct from their research model. The major reason for studies not including “habit” construct was they were examining users of new technology at early stage of adoption where sufficient time hasn’t elapsed for users to form habit. Moreover this study caution the use of experience as an alternative for habit. Since experience can be gained under mandatory settings which is not sufficient enough to form habit that occurs more naturally under voluntary settings. This study also provided number of recommendations for theory and practice based on the findings.

For many years, research on user acceptance of different technologies has been one of the most important topics within the field of information systems. In markets with the sheer size and uniqueness of the Chinese mobile economy fostered rapid development of sharing economy firms. Transportation Network Companies (TNC) can be regarded as a context of the sharing economy that focuses on personal transportation. Intrigued by the immense success of TNC and notorious competition between TNC companies Uber and DiDi in China, we study why users are susceptible to TNC. In this study, user acceptance is defined as intention to use TNC and the actual use of TNC. This study aims to examine what factors affect user acceptance of TNC in China and to what extent. By this, the thesis aims to provide TNC with adequate recommendations for success. The state of the art user acceptance model UTAUT2 has been used in this research with an explanatory purpose and a deductive approach. The UTAUT2 model consists of factors related to user acceptance, such as Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value and Habit. These factors were individually tested with Simple Linear Regression to determine their influence on user acceptance. These calculations were executed upon quantitative data from an electronically distributed survey. Upon analysis of the findings, research and practical implications are provided such as managerial recommendations for how TNC can raise user acceptance and increase market share.

This study examines the acceptance, usage and motivation of virtual reality users from a perspective of longitude to achieve a deeper understanding regarding the usage of technology as well as to which extent it aligns with the technology acceptance model UTAUT 2 and the seven variables known as determinants. The established determinants for technology adoption were evaluated through eight qualitative interviews. This study confirms the validity of UTAUT 2 but also contributes with suggestions for additional factors such as wow, hype, reality and social output as well as future usage. The suggested addition of the factors wow and hype generated the most data with tendencies to extend into a general technology context. Reality is another significant quality that is distinguishing for virtual reality and other mixed realities. Very much like other information technologies the virtual reality experience depends on content where aspects such as quality and the available range influences the will to adopt the technology. Since different technologies consist of a unique combination of qualities and possibilities this study suggests that there may be advantages to adjust or extend the adoption model depending on the technology that is to be examined. / Denna studie utforskar acceptans, användning och motivation hos användare av virtuell verklighet (VR) med ett longitudinellt fokus för att få en djupare förståelse kring hur väl dagens teknikanvändning stämmer överens med teknikadaptionsmodellen UTAUT 2 och dess sju avgörande faktorer även kallade determinanter. Genom åtta kvalitativa intervjuer utvärderas de befintliga determinanterna för tenikadapation. Studien styrker validiteten i UTAUT 2 men bidrar med förslag till ytterligare betydande faktorer som wow, hajp, verklighet, socialt influerande, samt framtid. De föreslagna faktorerna wow och hajp genererade mest data men de tenderar att sträcka sig över ett allmänt teknologisammanhang. Verklighet är en annan avgörande faktor som är utmärkande för VR och andra blandade verkligheter (mixed realities - MR). VR likt andra informations- och kommunikationsteknologier (IKT) är för upplevelsen beroende av innehåll där beståndsdelar som kvalitet och utbud påverkar viljan att ta till sig av teknologin. Då olika teknologier består av en unik kombination av egenskaper och möjligheter föreslår denna studie att det finns fördelar i att utöka eller anpassa adaptionsmodellen olika beroende på den teknologi man ämnar att undersöka.

The evolution of mobile telephony and social media platforms gave birth to different new concepts of electronic commerce (e-commerce), such as mobile commerce (m-commerce) and social commerce (s-commerce). In 2014 a new concept called mobile social commerce (mscommerce) was introduced. This concept occurs when e-commerce activities are performed on social media platforms using mobile devices. Many researchers did look into e-commerce and its different concepts, but not so many did look into ms-commerce, especially when it comes to exploring the consumers’ perception of this concept and their shopping motivation. The aim of this study is to explore the relation between ms-commerce and the Swedish consumers in order to find out what is the consumers’ perception of ms-commerce in Sweden, and how ms-commerce affects consumers’ shopping motivation. To do this a qualitative approach is used where interviews with 9 people using ms-commerce platforms to buy products were conducted. The research is based on the extended unified theory of acceptance and use of technology model (UTAUT2). The findings of this study indicate that consumers perceive ms-commerce in Sweden as a very useful and entertaining technology that has economic benefits for the consumers, but they also perceive it to have privacy issues and to be lacking trustworthiness. Furthermore, the findings strongly suggest that ms-commerce comments on products available on ms-commerce platforms have a direct influence on consumers’ shopping motivation, the live chat feature available on ms-commerce platforms is a very good tool that has a positive influence on consumers shopping motivation, and targeted advertisement in ms-commerce has no influence on consumers’ shopping motivation.