Organizations invest sizable amounts of financial and human capital toward developing and implementing innovative technology solutions that will help them achieve organizational objectives. Professionals are now able to use online social networking technology to maintain and grow their network of business contacts virtually, resulting in increased efficiency and the ability to foster relationships with colleagues who otherwise would not be accessible. Organizations can use the benefits of online social networking to their strategic advantage if they understand the nature of the technology and how it is used. The Technology Acceptance Model is often used to explain the acceptance of new technology at work, and can predict which workers are likely to adopt a newly-implemented technology as it was intended to be used. It is not clear, however, if the model can predict the acceptance of social networking technology, and it does not account for experience the user might have had with similar systems. Five hundred students completed a questionnaire about their prior usage of online social networking systems as well as an assessment of their perceptions of the technology in terms of ease of use and usefulness, and the social forces influencing usage decisions. Findings suggest the Technology Acceptance Model is a reasonable model of the acceptance of online social networking systems, but the subjective norm component was not predictive of acceptance.

End of life hospice services have consistently been underused by African Americans. This disproportionate use of hospice has contributed to poor quality of life and a lack of cost-effective care for patients with terminal illness. Driven by the theory of reasoned action, the purpose of this quantitative study was to test associations between African Americans' perceptions of hospice, decisions to use hospice, and religiosity. A convenience sample of 154 African American adults was surveyed online. The survey instrument combined the AARP End of Life survey, Perception of Hospice survey, and the Religiousness Measure survey. The results of a multiple linear regression showed a significant relationship between religiosity and perception of hospice where those who reported a higher level of religiosity had a more favorable perception of hospice (B = .174, p = .041), whereas there was no support of a relationship in which religiosity was a predictor of intent to use hospice (B = -.019, p = .816). Findings also showed the more positive the perception of hospice the lower the rate of intent to use hospice (B = -.181, p = .002). This research could benefit health care providers, researchers, and community members by increasing public awareness and education of hospice. Focus on the underuse of hospice by African Americans may promote positive social change through discussion within communities and hospice agencies about the barriers to service; these results may also foster implementation of interventions and initiatives that improve service to underserved populations. Such efforts could improve quality of life for individuals, their families, and communities.

The central question was how the relationship between trust-in-technology and intent-to-use Big Data Analytics in an organization is mediated by both Perceived Risk and Perceived Usefulness. Big Data Analytics is quickly becoming a critically important driver for business success. Many organizations are increasing their Information Technology budgets on Big Data Analytics capabilities. Technology Acceptance Model stands out as a critical theoretical lens primarily due to its assessment approach and predictive explanatory capacity to explain individual behaviors in the adoption of technology. Big Data Analytics use in this study was considered a voluntary act, therefore, well aligned with the Theory of Reasoned Action and the Technology Acceptance Model. Both theories have validated the relationships between beliefs, attitudes, intentions and usage behavior. Predicting intent-to-use Big Data Analytics is a broad phenomenon covering multiple disciplines in literature. Therefore, a robust methodology was employed to explore the richness of the topic. A deterministic philosophical approach was applied using a survey method approach as an exploratory study which is a variant of the mixed methods sequential exploratory design. The research approach consisted of two phases: instrument development and quantitative. The instrument development phase was anchored with a systemic literature review to develop an instrument and ended with a pilot study. The pilot study was instrumental in improving the tool and switching from a planned covariance-based SEM approach to PLS-SEM for data analysis. A total of 277 valid observations were collected. PLS-SEM was leveraged for data analysis because of the prediction focus of the study and the requirement to assess both reflective and formative measures in the same research model. The measurement and structural models were tested using the PLS algorithm. R2, f2, and Q2 were used as the basis for the acceptable fit measurement. Based on the valid structural model and after running the bootstrapping procedure, Perceived Risk has no mediating effect on Trust-in-Technology on Intent-to-Use. Perceived Usefulness has a full mediating effect. Level of education, training, experience and the perceived capability of analytics within an organization are good predictors of Trust-in-Technology.

El propósito de este estudio es investigar los factores que determinan la intención de uso en las Aplicaciones de entrega de comida en Lima, durante la pandemia del Covid -19. Asimismo, esta está basada en tres hipótesis respecto a las variables antes mencionadas. Por lo cual, esta propuesta estará elaborada bajo el concepto de concluyente, cuantitativo transversal con alcance correlacional. Cabe resaltar que el muestreo será “no probabilístico'' a 400 encuestados y las variables serán medidas mediante la escala de Likert de 5 niveles. Por último, las hipótesis planteadas sostienen análisis estadísticos de ecuaciones estructurales a través de SPSS AMOS. / The purpose of this study is to investigate the factors that determine the intention of use in Food Delivery Applications in Lima, during the Covid -19 pandemic. Likewise, it is based on three hypotheses regarding the aforementioned variables. Therefore, this proposal will be elaborated under the concept of conclusive, transversal quantitative with correlational scope. It should be noted that the sampling will be "non-probabilistic" to 400 respondents and the variables will be measured using the 5-level Likert scale. Finally, the hypotheses raised support statistical analysis of structural equations through SPSS AMOS. / Trabajo de investigación

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La presente investigación busca conocer la relación entre la expectativa de rendimiento, expectativa de esfuerzo, influencia social, costo percibido y riesgo percibido con la intención de uso de la banca móvil en usuarios que están en proceso de desarrollo y transformación digital. El perfil del usuario en estudio es la persona bancarizada y digital que tiene acceso a internet y a un dispositivo móvil. Sin embargo, este no utiliza las aplicaciones de pago por factores como desconocimiento, miedo y desconfianza. Por ese motivo, aún presenta altos niveles de uso de dinero en efectivo. El objetivo principal del estudio es identificar si las variables anteriormente mencionadas, utilizando como base el modelo UTAUT, tienen relación con la intención de uso de aplicativos móviles para realizar transacciones bancarias; con la finalidad de proponer estrategias de marketing que puedan impulsar el uso de la banca móvil y permitir al sector bancario seguir creciendo de forma inclusiva en el país. La metodología que se utilizó fueron dos entrevistas a profundidad a expertos en el rubro a fin de recaudar información sobre lo que acontece actualmente en el sector y la postura de la banca con respecto al perfilamiento de los usuarios ante los canales digitales. Finalmente, se aplicaron 200 encuestas efectivas con preguntas descriptivas para determinar la relación entre las variables en estudio y la intención de uso de aplicativos móviles para transacciones bancarias en usuarios bancarizados entre 36-55 años que residan en las zonas 1 y 9 de Lima Metropolitana. / The present study seeks to know the relationship between performance expectation, effort expectation, social influence, perceived cost and perceived risk, with the intention to use mobile banking in users who are in a process of digital development and transformation. The profiles of the users under study are banked and digital people who have access to the internet and a mobile device. However, they do not use payment applications due to factors such as ignorance, fear and mistrust. For that reason, they still show high levels of use of cash. The main objective of the study is to identify whether the aforementioned variables, using the UTAUT model as a basis, are related to the intention to use mobile applications to carry out banking transactions, in order to propose marketing strategies that can promote the use of mobile banking and allow the bank sector to grow in an inclusive way in the country. The methodology that was used was two in-depth interviews with experts in the field so as to gather information on what is currently happening in the sector and the position of the bank regarding the profiling of users in digital channels. Finally, 200 effective surveys with descriptive questions were conducted to determine the relationship between the variables under study and the intention to use mobile applications for banking transactions in bank users between the ages of 36-55 residing in zone 1 and zone 9 in Metropolitan Lima. / Tesis