This study examined the perceived importance of availability of ICT-based features and technical support on meeting planners' recommendation/selection of a conference center. In addition, this study attempted to explain relationships between meeting planners' beliefs (perceived usefulness and perceived ease of use) toward ICT-based features and other factors: personal innovativeness of ICT (PIICT); perceived importance of the availability of technical support; self efficacy; and result demonstrability. A conceptually integrated and expanded model of the Technology Acceptance Model (TAM) developed by Davis (1986, 1989) was used as a theoretical frame. The subjects of the study were meeting planners who used the selected two conference centers for their meetings or were considering them for their future meetings. A total of 167 usable responses were gathered and the proposed model was empirically examined using the data collected. The results of the model test revealed that the expanded TAM with the integration of key factors provided a systematic view of the meeting planners' beliefs in selection/recommendation of a conference center with ICT-based features. In addition, factor analysis of the fifteen ICT-based features revealed three underlying dimensions based on meeting planners' perceived importance of the availability of each feature for a conference center selection: 1) high-speed wireless Internet; 2) network backbone; and 3) ICT-based service outlet. Specifically, high-speed wireless Internet was the most important ICT-based determinant of a conference center selection/recommendation to all types of meeting planners. Due to the exploratory nature of this study, the results provided limited facets of the impact of ICT-based feature and technical support on meeting facility selection/recommendation. Nevertheless, this study is the first research effort of its kind to investigate what type of ICT-based feature and technical support impact conference center selection/recommendation by different types of meeting planners the most. The results revealed that corporate meeting planners consider wireless Internet and a fast network more important in selection than other types of meeting planners do. The availability of ICT-based features was less important to association meeting planners when they make a conference center selection. This study also identified that there is a serious lack of knowledge in terms related to network backbones across all types of meeting planners. Technical support, especially on-site technical support, was perceived as very important to all types of meeting planners. This study also identified that meeting planners with high PIICT possess stronger confidence in using and visualizing the advantages of ICT-based features. Thus conference centers should make efforts to measure meeting planners' PIICT and use the score effectively for their marketing of ICT-based features. The study also identified result demonstrability—the visualizing of positive outcomes of using ICT-based features—as very important to meeting planners. PIICT and result demonstrability were positively related to perceived ease of use and perceived usefulness which were identified as key antecedents of actual acceptance/usage of technology in previous studies. The results of the current study present an important step toward providing practical as well as theoretical implications for future technology impact studies in the context of meeting facility selection. / Ph. D.

Denna studie utreder hur användarna kommer att acceptera och använda en Mobile augmented reality app i möbelbranschen utifrån modellen Technology Acceptance Model (TAM). Därmed bidrar till den begränsade forskningen kring MAR inom Möbelbranschen. Undersökningen görs med IKEA Place app i ett kontrollerat fallstudie där användarna observeras och intervjuas. Forskningsstrategin har gått ut på att samla kvalitativa data för att få en förståelse för hur och varför, istället kvantitativa data som är standard inom studier med TAM. Studien har har resulterat i ett kunskapsbidrag i form av nytt empirisktmaterial inom området för forskningsvärlden. Samt förslag på förbättringar eller faktorer att ta hänsyn till vid implementering av MAR inom möbelbranschen för aktiva verksamheter. Det har även resulterat i en för sitt syfte, bredare förståelse för hur och varför användarna accepterar MAR vid handel av inredningsvaror. / This study investigates how users will accept and use a Mobile augmented reality app in the furniture industry based on the Technology Acceptance Model (TAM) model. This contributes to the limited research on MAR in the furniture industry. The survey is done with the IKEA Place app in a controlled case study where users are observed and interviewed. The research strategy has been to gather qualitative data to gain an understanding of how and why, instead of quantitative data that is standard in studies with TAM. The study has resulted in a knowledge contribution in the form of new empirical material in the field of the research world. And suggestions for improvements or factors to take into consideration when implementing MAR in the furniture industry for active businesses. It has also resulted in one for its purpose, broader understanding of how and why users accept MAR in the trade of furnishing goods.

Social media is a fast growing platform when it comes to marketing. It is, however, used to a greater extent by business-to-consumer (B2C) companies than by business-to-business (B2B) companies. Because of this there has been considerably less research done concerning marketing on social media for B2B, compared to B2C.  This study explores why social media marketing is less common in B2B than B2C. This was done by conducting eleven one-on-one interviews with people who work at different B2B companies, and who have influence over their respective company’s marketing process. To analyse and evaluate the findings of this study the Technology Acceptance Model (TAM) was used. By identifying the external variables that deter B2B companies from using social media the perceived usefulness and ease of use were analysed in order to explore what affects the difference in social media acceptance for marketing between B2B and B2C companies.  The findings of this study show that the perceived ease of use is the dominant factor that deters B2B companies from using social media for marketing purposes. This is however not the reason for the difference between B2B and B2C. The difference can instead be explained by a more negative perception of the usefulness of marketing on social media. This negative perception is a result of the characteristics of social media, the industry the company is operating within, as well as the company’s products and customers. / Sociala medier är en snabbt växande plattform när det kommer till marknadsföring. Det används dock i större utsträckning av business-to-consumer (B2C) företag än av business-to-business (B2B) företag. På grund av detta har det gjorts betydligt mindre forskning gällande marknadsföring på sociala medier för B2B än vad som har gjorts för B2C. Denna studie utforskar varför marknadsföring på sociala medier är mindre vanligt i B2B än B2C. Detta har gjorts genom att genomföra 11 intervjuer, öga-mot-öga, med personer som arbetar på olika B2B-företag och som har inflytande över sitt respektive företags marknadsföringsprocess. För att analysera och utvärdera resultaten från denna studie användes Technology Acceptance Model (TAM), en modell som mäter acceptansen av olika tekniska plattformar. Genom att identifiera de externa variabler som hindrar B2B-företag från att använda sociala medier analyserades användbarheten och användarvänligheten, som den uppfattas av dem intervjuade, för att undersöka vad som påverkar skillnaden i sociala media acceptans i marknadsföringssyfte mellan B2C- och B2B-företag.  Resultaten av denna studie visar att den upplevda användarvänligheten är den dominerande faktorn som hindrar B2B-företag från att använda sociala medier för marknadsföringssyften. Detta är dock inte orsaken till skillnaden mellan B2B och B2C. Skillnaden kan istället förklaras av en negativare uppfattning av användbarheten av marknadsföring på sociala medier. Denna negativa uppfattning är ett resultat av egenskaperna hos sociala medier, den bransch som företaget är verksam inom, samt företagets produkter och kunder.

The 2009 American Recovery and Reinvestment Act, signed under the Obama administration, mandated physicians to complete certification for electronic medical records (EMRs). Despite these mandates and the increased access to information technology, slow adoption rates persist on the use of EMRs. Guided by the theory of planned behavior and the technology acceptance model, the purpose of this quantitative study was to examine the relationship between the independent variables perceived ease of use, perceived usefulness, perceived behavioral control, perceived social influence, attitudes toward EMR, and the dependent variable user acceptance. This study identified physicians in the United States as end-users of EMRs. In this study, 76 randomly selected physicians in the United States, identified as end-users of EMRs, completed an electronic survey requiring responses to a 5-point Likert Scale model. Standard multiple regression analysis served as the means used to analyze the regression model. Despite the regression model being statistically significant, none of the individual independent variables had statistical significance in predicting user acceptance. Interdependence and homoscedasticity likely contributed to this phenomenon. Social change implications include understanding of physician perceptions and beliefs--how physician perceptions and beliefs affect EMR adoption. Because adoption rates did not achieve 100% certification by end-users, another social change implication includes the necessity of examining how end-user acceptance could decrease medical errors, increase efficiencies in physician workload, and improve communication within the health care industry.

Indiana University-Purdue University Indianapolis (IUPUI) / Background: Pulmonary rehabilitation (PR) has the potential to reduce the symptoms and complications of respiratory diseases through an interdisciplinary approach. Providing PR services to the increasing number of patients with chronic respiratory diseases challenges the current health care systems because of the shortages in health care practitioners and PR programs. Using telerehabilitation may improve patients’ participation and compliance with PR programs. The purpose of this study was to examine the applicability of the technology acceptance model (TAM) to explain telerehabilitation acceptance and to determine the demographic variables that can influence acceptance. Methods: A cross-sectional survey-based design was utilized in the data collection. The survey scales were based on the TAM. The first group of participants consisted of health care practitioners working in PR programs. The second group of participants included patients attending traditional PR programs. The data collection process started in January 2017 and lasted until May 2017. Results: A total of 222 health care practitioners and 134 patients completed the survey. The results showed that 79% of the health care practitioners and 61.2% of the patients reported positive intention to use telerehabilitation. Regression analyses showed that the TAM was good at predicting telerehabilitation acceptance. Perceived usefulness was a significant predictor of the positive intentions to use telerehabilitation for health care providers (OR: 17.81, p < .01) and for the patients (OR: 6.46, p = .04). The logistic regression outcomes showed that age, experience in rehabilitation, and type of PR increased the power of the TAM to predict the intention to use telerehabilitation among health care practitioners. Age, duration of the disease, and distance from the PR center increased the power of the TAM to predict the intention to use telerehabilitation among patients. Conclusion: This is the first study to develop and validate a psychometric instrument to measure telerehabilitation acceptance among health care practitioners and patients in PR programs. The outcomes of this study will help in understanding the telerehabilitation acceptance. It will help not only to predict future adoption but also to develop appropriate solutions to address the barriers of using telerehabilitation.

No description available.

No description available.

Livestock farms have recently experienced a significant growth in their size and this is due to the increase in animal products. This has a technical impact on farmers' daily activities. As there are more animals, it becomes more difficult for the farmers to monitor, take care of and ensure the animals are treated in a healthy manner. The purpose of this study is to examine how farmers are affected by the use of the Precision Livestock Farming (PLF) systems and how they have come to accept the technology. The study will take up an important aspect of the impact and effect of PLF. The aim of the study is to find out how farmers are affected by PLF systems in regard to Ease of Use (EOU) and Usefulness. A total of five semi-structured interviews consisting of two researchers, one product advisor, one support worker and one farmer were conducted. An observation was also conducted along with the farmer and support worker. During the interviews, the participants answered our questions regarding PLF and its EOU and Usefulness. The data was analyzed using a thematic analysis and the results showed that PLF systems are important and useful but need further EOU development. Furthermore, the results showed that the poorly designed user interfaces impact the farmers’ attitude and intention towards using the system, which also affects their attitude towards the Usefulness of the PLF systems. The research confirms the importance of including farmers under the development phase of PLF systems. Lastly, this research might be the foundation for further research on how to improve and develop a more user-friendly PLF system.

Predictive AI has huge potential to increase efficiency in taxi networks, improving incomes of drivers and passengers’ time, by calculating passenger demands and making the informationaccessible to drivers. However, to gain these benefits, drivers must accept the technology, and designers must understand how their perceptions govern acceptance. This study evaluates predictive AI applied to taxi fleet management from a user acceptance perspective, in the context of a proposed extended technology acceptance model, with added user experience constructs.Process modelling of a taxi organisation was performed to see how the algorithm fit into that context, and an app was designed to give taxi drivers access to its output. After a period, semistructured interviews were conducted, and thematic analysis was performed to identify what factors were important for their acceptance. The study found that visual design, interactivity, complexity, compatibility, utility, inclusivity, norms, presentation, and trustworthiness were factors that needed to be addressed by designers for successful implementation of predictive AI in the context of taxi fleet management.

Artificial intelligence (AI) has entered the accounting sector, raising both hope and fear among economists worldwide. It is a revolution that challenges our understanding of the workplace and forces us to ask questions about our own role in this new reality. Economists face a development that is filled with various opportunities and obstacles as AI takes over routine tasks and leaves room for creativity and strategic thinking. The idea of being freed from repetitive tasks is enticing, but what opportunities and challenges do economists experience in connection with the introduction of AI? This study highlights the economists' perspectives and experiences when they encounter AI in their work tasks. By examining economists' acceptance of AI and their experiences of working with the technology, the study gains insight into the complex dynamics between man and machine. We delve into the theory and explore the Technology Acceptance Model (TAM) as a guide to understanding how economists accept or reject AI. Through qualitative interviews with eight economists, we take part in their thoughts and reflections. We review previous research and analyze the results along with economists responses to discover patterns and insights. The results show that the economists' perceived benefits regarding AI's implementation are more at the individual level rather than the organizational level, i.e. AI primarily benefits the economists themselves rather than the entire organization. While perceived disadvantages are at both the individual and organizational level, which means that the disadvantages of AI affect both individual economists and the organization. The uncertainty is based on a lack of knowledge, but filling the knowledge gap can facilitate acceptance and ensure success in this revolutionary age.