Internal marketing and internal communication are essential tools to align em-ployees’ mindsets with the necessary tasks which bring about employee satis-faction and organisational prosperity. Electronic newsletters serve as an internal marketing communication medium which can convey the necessary information to employees regarding the organisation’s goals and objectives. They also act as a medium to build relationships with employees and encourage improved service delivery and customer-oriented employee mindsets. Employees’ willingness to make use of electronic newsletters for the purpose of disseminating organisational information is an indication of employees’ acceptance of the organisational information and use thereof in performing organisational tasks successfully as the organisation intends. The purpose of the current study was to determine employees’ acceptance of electronic newsletters, as an internal marketing communication medium, in order to disseminate organisational information which contributes to the attainment of organisational goals, objectives and success. An empirical study was conducted to determine employees’ acceptance of elec-tronic newsletters by means of an adapted technology acceptance model, self-administered, e-mail survey disseminated to employees of a higher education institution. The study followed a quantitative research approach, utilising re-gression in the analysis of the data. Based on the research results, employees do accept the electronic newsletter for the dissemination of organisational information, albeit with suggestions on how it can be better utilised in future. / Business Management / M. Com (Business Management)

Problem: Due to the promises of retailer benefits, self-service technologies (SSTs) are becoming a common sight in the Swedish grocery retail setting. The mere installation of SSTs is yet not enough to make the consumer adopt them.  Purpose: By asking, “how is the consumer’s attitude towards technology affecting his/her acceptance of the grocery retail self-scanning system”, the purpose of this thesis is to explore the effect of the technology readiness theory on the technology acceptance model. Thus, practically investigate how and why some consumers accept, whereas other consumers reject SSTs.  Theory: The direct mediating effect of four consumer-specific technology adoption predictors: optimism, innovativeness, insecurity and discomfort, are investigated in relation to two system-specific technology adoption predictors: perceived usefulness and perceived ease of use. Throughout the theoretical framework, and in combination with SST literature, eight hypotheses are constructed.  Method: A positivist research approach with a deductive reasoning is adopted. To answer the hypotheses, a quantitative method implemented through a survey strategy is chosen. Statistical testing of the 192 collected answers follows the quantitative data gathering.  Conclusion: The results show that multiple consumer-specific characteristics have a direct mediating effect on perceived usefulness and perceived ease of use. Thus, the consumer’s attitude towards technology plays a significant role in the consumer’s propensity to accept SSTs, such as the grocery retail self- scanning system. This implies that retailers aiming at developing efficient and competitive self-service strategies should pro-actively consider the “techno-ready” consumer attributes. In particular: optimism and discomfort.

Radio frequency identification (RFID) technology allows for the scanning of RFID-tagged objects and individuals without line-of-sight requirements. Healthcare organizations use RFID to ensure the health and safety of patients and medical personnel and to uncover inefficiencies in operations. The successful implementation of a system incorporating RFID technologies requires acceptance and use of the technology. Nurses are a group of employees who must use RFID in hospitals throughout the United States. However, due to their being tracked by RFID technology, some of these nurses feel like "big brother" is watching them. This predictive study used a theoretical model that assessed the effect of five independent variables, namely, privacy concerns, attitudes, subjective norms, controllability, and self-efficacy, on a dependent variable, nurses' behavioral intention to use RFID. A total of 106 U.S. registered nurses answered a Web-based questionnaire containing previously validated and adapted questions that were answered through a five-point Likert scale. Two statistical methods, linear regression and multiple linear regression, were used to investigate the survey results. The results of the linear regression analysis showed that privacy concerns, attitudes, subjective norms, and self-efficacy were each a significant predictor of nurses' behavioral intention to use RFID. The results of the multiple linear regression analysis showed that all the constructs together accounted for 60% of the variance in nurses' intention to use RFID. Of the five predictors in the model, attitudes provided the largest unique contribution when the other predictors in the model were held constant. Subject norms also provided a unique contribution. The other predictors in the model (privacy concerns, controllability, and self-efficacy) were not statistically significant and did not provide a significant unique contribution to nurses' behavioral intention to use RFID. The outcomes of this study constitute a significant original contribution to the body of knowledge in the area of information systems by enhancing understanding of the factors affecting RFID acceptance among nurses. The results of this research also provide hospitals and medical centers that require their nurses to use RFID technology with information that they can use to address barriers to their nurses' acceptance and use of RFID technology.

<p>Farmers in the digital age require accurate, relevant farm-level data to make sound management decisions for their operations. Mobile applications, or apps, are emerging as a valuable management and decision-making tool for farm operators, but are still in their infancy as a technological innovation. Farmer adoption and use of mobile apps has received relatively little attention in the scholarly literature compared to more established farm management tools and communication media. The researcher examined Indiana farmers’ use and perceptions of mobile apps as tools for management and decision-making. A theoretical perspective was developed from the Diffusion of Innovation Theory and the Technology Acceptance Model to guide the investigation. Data on attitudes, behaviors, and demographic characteristics were collected through interviews with 55 Indiana farmers in late 2018 and early 2019. Quantitative interview items were analyzed through descriptive statistics while open-ended items were coded for emergent themes.</p> <p>Study participants reported a median age of 41 years and an average of 26 years farming. Nearly all study participants (98.2%) considered mobile applications useful to farm operations. A smaller but significant majority (76.4%) of participants rated mobile apps as easy to use. In terms of content, the most common use of apps among study participants was for general purpose utilities such as banking and messaging, followed by weather and agriculture-related apps such as Granular and FieldNet. Ease of use and content of application were among attributes considered most important by study participants when considering adoption of new apps. About three-fourths (76.4%) of the study participants indicated intentions to adopt additional mobile applications in the future. </p> <p>A series of items addressed study participants’ awareness of open source technology. About three-fourths (72%) indicated not previously having heard of the terminology. When asked to share their thoughts on the term open source, a large majority (84%) of participants provided vague or seemingly unrelated responses ranging from cloud-related, to the capability of apps to exchange information, to software being open to all users. </p> <p>As part of the analysis, the researcher categorized study participants into one of three adopter categories – early adopters, early majority, or late majority – based on the length of time participants reported using mobile apps, attitudes toward the technology, and intention to adopt apps in the future. Cross-tabulation analysis revealed that early adopters of mobile app technology did not differ significantly at the .05 level from later adopters in terms of age, years farming, or size of operation.</p> <p>Finally, an empirical test was conducted to assess utility of the Technology Acceptance Model for conceptualizing behavioral intent to adopt mobile agricultural applications. As expected from theory, correlational analysis revealed positive and moderately strong relationships (p < .05) between perceived usefulness and attitude toward mobile applications, and between perceived ease of use and attitude toward mobile applications. The relationship between attitude and behavioral intention to adopt additional mobile applications was statistically non-significant at the .05 level, contrary to theory. The importance of exploring alternative theoretical perspectives in future research is discussed.</p> <p>Results from this research contribute to the growing literature on how farmers assess and use mobile applications as farm management and decision-making tools. Findings have implications for application developers, as well as those involved in education and marketing of mobile agricultural applications. </p>

A presente pesquisa visa investigar o envolvimento do usuário final no desenvolvimento de um Sistema de Informação (SI) e sua influência na adoção do SI. Para tanto, realizou-se uma revisão sistemática, em que foram analisados 133 artigos e cujo resultado é a proposição de uma modificação do Modelo de Aceitação de Tecnologia (TAM) incluindo variáveis relativas ao envolvimento do usuário: situacional e intrínseco. Em seguida, foi realizado o teste do modelo proposto a partir de uma survey com 114 respondentes, cujos dados foram analisados através de Análise Fatorial Exploratória (EFA), Análise Fatorial Confirmatória (CFA) e Modelagem por Equações Estruturais (SEM). O teste permitiu inferir que as hipóteses suscitadas estavam corretas e que o envolvimento do usuário é significativo dentro do contexto de adoção de um SI. Por fim, realizou-se um projeto de experimentos fatorial (DOE) fracionado para verificar de que forma envolvimento situacional e intrínseco estão relacionados Evidenciou-se que a composição do efeito de fatores principais e de interações duplas das atividades do envolvimento situacional explica até 57% da variação do envolvimento intrínseco. As principais contribuições teóricas da dissertação versam sobre a consistência aportada pelos métodos utilizados. O subsídio teórico aportado pela revisão sistemática permitiu elaborar relações teóricas com segurança. A utilização conjunta de EFA e CFA é indicada para conferir robustez à pesquisa. Da mesma forma, a modelagem por equações estruturais apresentou utilidade no contexto da pesquisa, embora se indique cuidado ao realizar as modificações no modelo para que se adeque aos parâmetros de qualidade da análise. Por fim, a realização de um projeto de experimento fatorial fracionado é algo incomum na literatura de adoção de SI, mas foi útil para verificação da qualidade da interação entre os tipos de envolvimento, bem como a verificação de quais fatores devem ser evitados. / The present research aims to understand the end user involvement in the Information System (IS) development influence in IS adoption by proposing and testing a specific theoretical model. A systematic review was carried out in which 133 articles were analyzed and its result is a Technology Acceptance Model (TAM) modification proposition. This model includes variables related to the user's involvement: situational involvement and intrinsic involvement. Afterwards, the test of the proposed model was carried out from a survey with 114 respondents, whose data were analyzed through Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM). The test allowed inferring that the hypotheses raised were correct and that user involvement is significant within IS adoption context. Finally, a fractional factorial design of experiments (DOE) with seven factors was done to verify how two types of involvement are related. It was evidenced that the composition of the effect of situational involvement major factors and double interactions explains up to 57% of intrinsic involvement variation The main theoretical contributions of the dissertation are about the consistency provided by the methods used. The theoretical subsidy provided by the systematic review allowed development of theoretical relations with safety. The combined EFA and CFA use is strongly indicated to give robustness to the research. Likewise, SEM presented significant utility in research context, although it is indicated caution when making model modifications to fit analysis quality parameters. Finally, fractional factorial DOE with seven factors is uncommon in the literature, but it was extra useful to verify interaction quality between types of involvement.

In a context where technology is increasingly being incorporated into health care practice, many U.S. health care providers and organizations are finding it challenging to connect disparate electronic documentation systems to retrieve patient information when coordinating care across providers and heath care entities. Local and regional health information exchange (HIE) systems were created to facilitate collecting information into one integrated patient record to address information transfer between heath care providers. Yet, adoption and use of HIEs have been low. The purpose of this study was to review the predictive factors accounting for physicians' use of a HIE in the U.S. state of Hawaii. Key factors from the technology acceptance model were evaluated to determine the behavioral intention resulting in actual use of the Hawaii health information exchange (HHIE). Physician characteristics (medical specialty, age, and gender) and location characteristics were also assessed. The total population of the study contained 1034 Hawaii physicians who have signed up to use the HHIE. Linear and logistic regression models were structured to evaluate the predictive nature of (a) use to determine if a physician has ever logged into the HIE and (b) usage to evaluate the extent to which a physician is logging into the HIE. Findings from the study reveal a predictive relationship between the characteristic of medical specialty and HHIE use when comparing primary care and emergency department physicians to physician specialists. Using study results, health care leaders can improve physician outreach and review barriers when using the HIE systems to coordinate care. Policy implications include the possible formulation of future requirements surrounding HIE physician participation.

Decisions concerning IT systems are often made without adequate decision-support. This has led to unnecessary IT costs and failures to realize business benefits. The present thesis presents a framework for analysis of four information systems properties relevant to IT decision-making. The work is founded on enterprise architecture, a model-based IT and business management discipline. Based on the existing ArchiMate framework, a new enterprise architecture framework has been developed and implemented in a software tool. The framework supports modeling and analysis of data accuracy, service performance, service availability and application usage. To analyze data accuracy, data flows are modeled, the service availability analysis uses fault tree analysis, the performance analysis employs queuing networks and the application usage analysis combines the Technology Acceptance Model and Task-Technology Fit model. The accuracy of the framework's estimates was empirically tested. Data accuracy and service performance were evaluated in studies at the same power utility. Service availability was tested in multiple studies at banks and power utilities. Data was collected through interviews with system development or maintenance staff. The application usage model was tested in the maintenance management domain. Here, data was collected by means of a survey answered by 55 respondents from three power utilities, one manufacturing company and one nuclear power plant. The service availability studies provided estimates that were accurate within a few hours of logged yearly downtime. The data accuracy estimate was correct within a percentage point when compared to a sample of data objects. Deviations for four out of five service performance estimates were within 15 % from measured values. The application usage analysis explained a high degree of variation in application usage when applied to the maintenance management domain. During the studies of data accuracy, service performance and service availability, records were kept concerning the required modeling and analysis effort. The estimates were obtained with a total effort of about 20 man-hours per estimate. In summary the framework should be useful for IT decision-makers requiring fairly accurate, but not too expensive, estimates of the four properties. / <p>QC 20120912</p>

Background: Because of the high-speed development of e-commerce, online group          buying has become a new popular pattern of consumption for Chinese consumers. Previous research has studied online group-buying (OGB) purchase intention in some specific areas such as Taiwan, but in mainland China. Purpose:    The purpose of this study is to contribute to the Technology Acceptance Model, incorporating other potential driving factors to address how they influence Chinese consumers' online group-buying purchase intentions. Method:     The study uses two steps to achieve its purpose. The first step is that I use the focus group interview technique to collect primary data. The results combining the Technology Acceptance model help me propose hypotheses. The second step is that the questionnaire method is applied for empirical data collection. The constructs are validated with exploratory factor analysis and reliability analysis, and then the model is tested with Linear multiple regression.  Findings: The results have shown that the adapted research model has been successfully tested in this study. The seven factors (perceived usefulness, perceived ease of use, price, e-trust, Word of Mouth, website quality and perceived risk) have significant effects on Chinese consumers' online group-buying purchase intentions. This study suggests that managers of group-buying websites need to design easy-to-use platform for users. Moreover, group-buying website companies need to propose some rules or regulations to protect consumers' rights. When conflicts occur, e-vendors can follow these rules to provide solutions that are reasonable and satisfying for consumers.

In an era of digital convergence, people in related fields are devoted to activities of digitalization, especially in digital TV. This research is based on the Information System Success Model from Technology Acceptance Model (TAM) and aimed to understand the factors that affect user satisfaction and acceptance behavior. The researcher adopts the methodology of questionnaire survey. After statistical data analyses, the results show the main factor that influences MOD users¡¦ intention to use is perceived usefulness. Furthermore, perceived usefulness is influenced by perceived ease of use and user satisfaction. Three factors related to perceived ease of use and user satisfaction are program content quality, system quality and service quality of MOD. However, the influence of information quality is not significant. This research successfully constructs a technology acceptance model for MOD development and contributes for reference not only to future researches on users concerning innovative technologies but also to specific guidance for MOD operators to improve their services, expediting the development of digital TV in Taiwan.

This research regards internet users with hearing-impairment as the target. The purpose is to investigate the factors which will influence hearing-impaired people use internet. This research is theoretically based on the Technology Acceptance Model (TAM). According to the literatures, join subject norm, media richness, internet self-efficacy and perceived enjoyment. A total of 255 effective samples were collected via internet questionnaire. Through the survey and analysis, we could prove that subject norm, perceived usefulness and perceived ease of use will influence the behavioral intention directly. Subject norm, media richness, perceived enjoyment and perceived ease of use will influence the perceived usefulness directly. And media richness, internet self-efficacy and perceived enjoyment will influence the perceived ease of use. According to the findings of research, there are the following suggestions. (1) Hearing-impaired communities should offer information courses of computer and internet. (2)The government should offer more services through internet, and social welfare organizations should update information as instant as possible. (3)Implement the execution of the regulations of web accessibility.