1,573 research outputs found

    Organizational technology acceptance and use: a relational perspective

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    Theoretical background. Hypotesis. Research design. Results. Discussion and conclusions. Appendix 1: Descriptive network statistics. Appendix 2: Questionnaire. Appendix 3: Graphical representation of the networks

    Understanding Mobile Showrooming Based on a Technology Acceptance and Use Model

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    Showrooming is an increasingly popular behaviour in the omnichannel era. The purpose of this paper is to understand the consumer intention to showroom through a technology acceptance and use model based on UTAUT2 that includes value consciousness and purchase involvement as drivers of showrooming intention and mobile dependency as a moderator. Data collected via a survey answered by 659 showroomers were analysed using Partial Least Squares (PLS). Results show that value consciousness, purchase involvement, hedonic motivation and social influence explain mobile showrooming intention and mobile dependency moderates the impact of value consciousness on mobile showrooming intention. Our results offer suggestions for multichannel retailers to deal with showroomers visiting their stores to try to turn them into buyers

    Applicability of the technology acceptance model for widget-based personal learning environments

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    This contribution presents results from two exploratory studies on technology acceptance and use of widget-based personal learning environments. Methodologically, the investigation carried out applies the unified theory of acceptance and use of technology (UTAUT). With the help of this instrument, the study assesses expert judgments about intentions to use and actual use of the emerging technology of flexibly arranged combinations of use-case-sized mini learning tools. This study aims to explore the applicability of the UTAUT model and questionnaire for widget-based personal learning environments and reports back on the experiences gained with the two studies

    Organizational technology acceptance and use: a relational perspective

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    Theoretical background. Hypotesis. Research design. Results. Discussion and conclusions. Appendix 1: Descriptive network statistics. Appendix 2: Questionnaire. Appendix 3: Graphical representation of the networks.Theoretical background. Hypotesis. Research design. Results. Discussion and conclusions. Appendix 1: Descriptive network statistics. Appendix 2: Questionnaire. Appendix 3: Graphical representation of the networks.LUISS PhD Thesi

    Effect of Personal Innovativeness on Technology Acceptance and Use

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    The definition and empirical use of the concept of innovativeness has been a source of disagreement in both the Management Information Systems (MIS) and Marketing literature. Specifically, the MIS field has used a construct called Personal Innovativeness in the Domain of Information Technology (PIIT) in only a few studies, exploring its impact on technology acceptance. This study extends the previous literature by studying the different possible ways that the construct can influence acceptance. Additionally, the present study will serve to validate the Unified Theory of Acceptance and Use of Technology (UTAUT) model, a new composite model of information technology acceptance. To accomplish this, use of class specific software was monitored and constructs measured in an undergraduate Production and Operations Management course for an entire semester.Department of Managemen

    Mobile Payment Adoption in Generation Z Using Extended Unified Technology Acceptance and Use of Technology

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    This study investigates the possible factors determining the success of m-payment adoption in Generation Z using the basic Unified Technology Acceptance and Use of Technology (UTAUT) model based on previous research. A theoretical model derived from previous research that combines factors from the acceptance model of UTAUT with relevant m-payment factors (Trust, Perceived Security, Network Externalities). The sample includes 735 participants from three cities in Indonesia. Structural equation models are used to analyze and develop theoretical models. Only four hypotheses can be accepted based on the analysis of the seven hypotheses proposed. Trust, Perceived Security, Performance Expectancy, and Social Influence positively and significantly impact Behavioral Intention. Meanwhile, Facilitating Conditions, Effort Expectancy, and Network Externalities are insignificant to Behavioral Intention. There are many research models for adopting m-payments, but in developing countries, including Indonesia, the cellular penetration rate is already very high. However, the acceptance of m-payments in various trade transactions is still embryonic, especially in Generation Z. Therefore, this research presents a comprehensive investigation of the factors that influence the adoption of m-payments in Generation Z in Indonesia

    An investigation of factors affecting technology acceptance and use decisions by Australian allied health therapists

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    The research reported in this paper describes the development, empirical validation and analysis of a model of technology acceptance by Australian occupational therapists. The study described involved the collection of quantitative data through a national survey, with over 2000 responses and a longitudinal case study within the community health sector. Results provide qualitative and quantitative support for the proposed model and demonstrate the inadequacy of traditional models of technology acceptance when applied to the health sector. This work extends technology acceptance studies into new realms of the health sector and highlights the need for a broadening of health IT research, and particularly technology acceptance studies, to encompass a more holistic and inclusive view of those who work in healthcare in order to gain a greater understanding of its complexities and how IS implementation success can be enhanced in this arena

    Exploring the Links Between Technology Acceptance and Use and the Attainment of Individual and Organizational Goals: A Case Study in the Community Health Sector

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    This paper examines technology acceptance and use and the associated individual and organisational impacts within a small non-profit, community-based health care organisation. The study described involved a longitudinal multi-method investigation, collecting quantitative and qualitative data over a 7-month period, timed in conjunction with the implementation of a new information system infrastructure. A research model is proposed and explored. The substantial data collected enables comprehensive analysis of the links between technology acceptance and use with the outcomes and impacts of use on individual and organisational goals. Results from this study provide qualitative support for the proposed model, demonstrate the invaluable role of individual commitment to the organisation and to the matching of organisational and individual goals. This work highlights the complexity of the constructs and relationships that influence technology acceptance and outcomes and highlights a need for reconceptualising current models. Results also demonstrate the importance of qualitative methodologies in information systems research. The significance of this work and the implications of the findings are discussed

    Exploring the links between technology acceptance and use and the attainment of individual and organisational goals: A case study in the community health sector

    Get PDF
    This paper examines technology acceptance and use and the associated individual and organisational impacts within a small non-profit, community-based health care organisation. The study described involved a longitudinal multi-method investigation, collecting quantitative and qualitative data over a 7-month period, timed in conjunction with the implementation of a new information system infrastructure. A research model is proposed and explored. The substantial data collected enables comprehensive analysis of the links between technology acceptance and use with the outcomes and impacts of use on individual and organisational goals. Results from this study provide qualitative support for the proposed model, demonstrate the invaluable role of individual commitment to the organisation and to the matching of organisational and individual goals. This work highlights the complexity of the constructs and relationships that influence technology acceptance and outcomes and highlights a need for reconceptualising current models. Results also demonstrate the importance of qualitative methodologies in information systems research. The significance of this work and the implications of the findings are discussed
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