Determinants of User Acceptance of a Local eGovernment Electronic Document Management System (EDMS)

On numerous occasions the significant value of the investments involved in the development of eGovernment and the expectations of governmental information systems use do not correspond to the rate of effective use. This scenario makes it difficult to justify the development of electronic government by governments and local authorities among its citizens. It is therefore important to understand the factors that influence the employees' intention of using governmental information systems. With the aim of understanding the determining factors of using an Electronic Document Management System (EDMS) in the context of Portuguese municipalities, this study develops an empirical analysis using the Unified Theory of Acceptance and Use of Technology (UTAUT) model, (Venkatesh et al., 2003). This model's application for information systems research in the governmental context has a weak expression and is unique in EDMS research. This empirical research follows a realist and positivist approach. Data was collected from a survey answered by 2,175 employees of Portuguese municipalities (EDMS users). Partial Least Squares (PLS) was used to test the model proposed. The results showed that Intention to Use is positively affected by Performance Expectancy, Effort Expectancy, Social Influence and Facilitating Conditions. With respect to the EDMS Use, the results showed that it is positively influenced by Intention to Use and Facilitating Conditions. The main result indicates that EDMS users believe that the use of this information system will help them to obtain performance benefits in their work. However, the increasing use of EDMS is not very influenced by the system's perceived ease of use. In short, this study provides a contribution to the Information Systems Acceptance and Adoption literature in local eGovernmental contexts. In addition, our contribution empirically tests the model for implementation in governmental organizations and provides a better understanding of the adoption and use of an EDM

Investigating the adoption and use of smartphones in the UK : a silver-surfers perspective

Copyright and all rights therein are retained by the authors. All persons copying this information are expected to adhere to the terms and conditions invoked by each author's copyright. These works may not be re-posted without the explicit permission of the copyright holdersSmart phones are innovations that currently provide immense benefits and convenience to users in society. However, not all members of society are accepting and using smart phones; more specifically, for this research study silver-surfers or older adults (50+) are a demographic group displaying such an attitude. Currently, there is minimal knowledge of the reasons for older adults adopting and using smartphones. Bearing this in mind, this research study aims to investigate the adoption and usage behaviours of silver-surfers. For this purpose, the conceptual framework applied to this research draws factors from the following theories: Unified Theory of Acceptance and Use of Technology (UTAUT), the Diffusion of Innovations theory (DoI), and TAM3 (Technology Acceptance Model). From the online survey of 204 completed replies it was found that observability, compatibility, social influence, facilitating conditions, effort expectancy and enjoyment are important to the adoption and use of smartphones within silver-surfers. The contributions of this research are an identification and understanding of the factors that encourage or inhibit smartphone use within the older adult population. Second, this research can inform the design of computing devices and applications used for silver-surfers. Finally, this research can enlighten policy makers when forming decisions that encourage adoption and use of smartphones among silver surfersFinal Published versio

An Investigation into Domestic Violence Victims\u27 Adoption of Chatbots for Help-seeking: Based on the UTAUT2 and Health Belief Models

Domestic violence cases have increased during and post COVID-19 pandemic, which significantly jeopardizes victims\u27 health. However, victims rarely seek help due to the associated stigma. One of the strategies to encourage them to seek help is through the use of digital communication tools for achieving confidentiality and anonymity. Thus, this study aims to investigate their adoption intention of chatbots for help-seeking. A review of the related literature is conducted, leading to the development of a conceptual framework within the theoretical background of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and Health Belief Model (HBM) for better exploring domestic violence victims\u27 adoption intention of chatbots. This study will provide insights into the impacts of information communication technology on domestic violence victims\u27 adoption of relevant chatbots, and offer insightful information to domestic violence organizations and healthcare providers in the development and implementation of chatbots for help-seeking

Exploring the Adoption of Blended Learning in Physical Education: A Study in Southwest China's Higher Education Institutions

This study delves into the adoption of Blended Learning in Physical Education (BLPE) within higher education institutions in Southwest China. Employing structural equation modeling (SEM) on data from 654 respondents, which are higher education students major in physical education in southwest China. The research comprehensively examines both direct and indirect effects among the Information Quality (IQB), System Quality (SQB), Satisfaction (SAB), Perceived Ease of Use (PEB), Perceived Usefulness (PUB), Attitude Towards BLPE (ATB), Hedonic Motivation (HM), Price Value (PV), Habit (HT), Intention to Use BLPE (IUB), Facilitating Conditions (FC), Performance Expectance (PE), Effort Expectance (EE), and Social Influence (SI). Significant direct relationships were identified, including IQB's and SQB's positive effects on SAB (? = 0.358 and ? = 0.505, respectively), and SAB’s influence on PEB (? = 0.597) and PUB (? = 0.384). Additionally, mediation analysis revealed key indirect effects, such as SAB mediating the relationship between IQB and PEB (effect size = 0.206), and between SQB and PUB (effect size = 0.185). Notably, HM and PV did not significantly impact IUB, suggesting unique contextual differences in BLPE adoption in Southwest China. Other variables like HT, FC, PE, EE, and SI also showed significant impacts on IUB, reflecting the multifaceted nature of BLPE adoption. The study concludes that quality of content and system, along with user satisfaction, play pivotal roles in determining the success of BLPE. Contrasting with some global trends, cultural and contextual factors significantly influence BLPE adoption in Southwest China. These findings provide essential insights for educators and policymakers, emphasizing the need for contextually tailored BLPE strategies and highlighting the critical interplay of various factors in the successful implementation of blended learning in physical education

To BYOD or not to BYOD: factors affecting academic acceptance of student mobile devices in the classroom

This article reports on factors affecting local academic acceptance of bring your own devices (BYOD). A review of the literature revealed a paucity of studies that have explored the complex factors that affect academic use and intention to use mobile devices in the classroom, with even less exploring truly ubiquitous and varied personal devices as opposed to supplied institutional or research study sets. A detailed qualitative investigation with 14 academics was undertaken, drawing upon and aiming to compliment mature acceptance research. Firstly by employing a focus group to identify initial psychological factors and the relevance of acceptance theories to the local context. Then, secondly by using in-depth semi-structured interviews, shaped by acceptance categories, to identify a breadth of psychological factors affecting faculty use and intention to use BYOD. This small-scale study found clear distinctions in local academic perceptions of BYOD compared with faculty devices and reported a range of factors that appeared to distinctly affect local academic acceptance of BYOD

UTAUT Model in Teaching Biology: Structural Equation Modeling

This study aims to examine the direct effect of the UTAUT model, educational policies and habits on Information and communication use (ICTuse). These dimensions were developed by proposing research indicators that have a partial and simultaneous impact. With a sample of 251 teachers in teaching Biology. This study uses Structural Equation Modeling (SEM) through partial least square approach (PLS). Based on research findings, this study provides implications for policies/programs that aim to promote teachers to adopt ICT-based teaching. From a managerial and institutional perspective, this research has several implications for policies from stakeholders and the government which aims to prepare aspects of facilities and human resources in facing educational challenges that are closely related to the development of internet technology and integrate them into the learning process in Biology subject. &nbsp

Understanding Mobile Shopping Behavior from a Utilitarian Perspective: a New Posteriori Framework

Many previous studies assessed the adoption of mobile shopping by employing technology adoption models such as Technology Adoption Model (TAM), Diffusion of Innovation (DOI) and Unified Theory of Acceptance and Use of Technology (UTAUT). However, there has been a lack of effort in re-assessing the usage of these models for investigating mobile shopping adoption through the aspect of the advantages offered by mobile devices, compared to desktop devices. Furthermore, a new outlook into the aspect of customer behavior on mobile shopping is required as mobile technology continues to advance and progress within the context of the online shopping environment. The objective of this paper is to propose a new aspect to identify mobile shopping behavioral intention where the theoretical foundation of convenience and utilitarian advantages of mobile devices over PCs are taken into consideration. The paper suggests a conceptual framework where these variables will be discussed based on the fundamental variables. The framework will assist in improving the mobile platform to encourage more mobile shoppers in the future

Factors affecting mobile device use at festival attractions

To better comprehend mobile device acceptance and use at attractions and during tourism experiences broadly, we need to know and understand the factors that influence the decision to use technology in varying contexts. This presentation will discuss the Unified Theory of the Acceptance and Use of Technology 2 in relation to mobile device use at festivals. On-site interviews and survey data collection from 9 festivals reveals 5 new items that should be incorporated into this technology use model going forward. The implications will enable attraction staff and mobile device experience designers to ascertain appropriate ways to integrate mobile technology in the visitor’s experience

Consumer Location Based Service Perceptions and Response: a focus on Location Based Services and Emerging Mobile Lifestyles

Location Based Services (LBS) and electronically mediated lifestyles (e-lifestyles) represent emergent new areas with approaches (e.g. apps and e-activities) billed to change customer experiences and responses. Marketers are confronted with a challenge of understanding how consumers engage with mobile services and how to design appropriate strategies towards that (Donovan, 2013). A review of extant literature has indicated that the implementation of marketing strategies based on LBS is still in its infancy, and yet to gain widespread acceptance by consumers. The role of individual differences in consumer response to LBS is not reported in any substantive way in the literature- yet we know that e-lifestyles are now shaping different consumer responses to LBS. This PhD addresses this important area, with a focus on the role of e-lifestyles in consumer response to location-based services. The study relied on a sequential multimethod qualitative method of enquiry. Initially, in the first phase of data collection, relevant LBS websites were observed over a three-month period to explore consumer familiarity, attitudes and experience, offering some rich insights into consumer LBS awareness. In phase two of the research, specialist interviews (thirty-eight in total) were used in conjunction with cartoon tests as an effective way to establish the role of e-lifestyles, situational decision making as well as capturing actual (typical) consumer response in LBS encounters. In phase three, three focus groups were conducted with different user groups (young students, young professionals and older established working participants with families) to examine the role of individual factors in consumer LBS response. Findings in the study point to good experience with LBS with some selective engagement depending on user group profile, which broke down into ‘Involved’, ‘Observer’ or ‘Transaction’ orientations. Phase two (innovative cartoon tests) led to findings that mapped actual consumer response pathways in simulated encounters- four response pathways unique to this study emerged (immediate, delayed/future response, socially-mediated response and indifference). Findings also point towards influential individual factors such as variation on the basis of life stage, distinct patterns of proactivity and reactivity to LBS messages and the importance of situational factors on the nature of LBS response. This study contributes to the body of knowledge on LBS and e-lifestyles theory by providing deeper insights on actual consumer response process in typical LBS encounters (e.g. the UK context). It adds fresh insights into typical response processes by using specialist scenarios reflective of typical LBS encounters to map key response pathways, capturing ‘live’ customer experiences of different forms of LBS and interrogating the rationale behind individual responses using LBS scenarios. Findings also offer a clearer classification of customer response types (e.g. proactive and self-referencing LBS; reactive and cross-referencing LBS). By combining situational context, e-lifestyle and individual attributes influencing individual response to LBS in a single study, this research takes forward the argument of Weiss (2013) on the need for more in-depth examination of consumer response to LBS and takes further previous LBS adoption studies (Zhou, 2012)