Adapted Technology Acceptance Model Research Articles

Social Media Acceptance and Usage by Business Communication Faculty

Social media are an ubiquitous, technological phenomenon, permeating both personal and professional lives. Increasingly, business professionals use social media at work, yet it is often omitted from the business curriculum. This qualitative study investigated business communication faculty members’ perceptions and usage of social media in classroom and business contexts. Data were collected via interviews and course syllabi review. Interviews were transcribed and coded using an adapted technology acceptance model. Overall, participants accepted social media’s importance as a business tool but did not reach a consensus about its inclusion in the curriculum. Guidelines for addressing social media in the business communication classroom are presented.

Employees’ Acceptance of E-Newsletters for Organisational Information Transfer

ABSTRACTInternal marketing and internal communication collectively strive to build relationships with, empower, and motivate employees to foster an organisational culture of support for organisational goals and objectives to be met and organisational success achieved. Electronic newsletters support internal marketing and internal communication endeavours as they serve the purpose of transferring organisational information to employees. E-newsletters can be tested to determine whether employees willingly utilise them for their intended purposes. By means of a quantitative research approach, utilising regression to analyse the empirical data, a study was conducted to determine employees’ acceptance of e-newsletters. This was conducted by means of an adapted technology acceptance model (TAM), and a self-administered e-mail survey was disseminated to employees of a higher education institution. Based on the research results, employees perceive TAM differently to what is put forward in literature, which results in the acceptance of e-newsletters for the purpose of transferring organisational information. Results show that respondents perceived two of the factors of TAM as one factor. In addition, the results provide insight into how academic employees perceive e-newsletters and what practical changes can be made to e-newsletters in order to cater to employees’ preferences.

Intention to Use mHealth in Older Adults With Heart Failure.

mHealth, or the use of mobile technology in healthcare, is becoming increasingly common. In heart failure (HF), mHealth has been associated with improved self-management and quality of life. However, it is known that older adults continue to lag behind their younger counterparts when it comes to mobile technology adoption. The primary aim of this study was to examine factors that influence intention to use mHealth among older adults with HF. An adapted Technology Acceptance Model was used to guide this cross-sectional, correlational study. Convenience sampling was used to identify participants from a large university hospital and online. A total of 129 older adults with HF participated in the study. Social influence (β = 0.17, P = .010), perceived ease of use (β = 0.16, P < .001), and perceived usefulness (β = 0.33, P < .001) were significantly associated with intention to use mHealth even after controlling for potential confounders (age, gender, race, education, income, and smartphone use). Perceived financial cost and eHealth literacy were not significantly associated with intention to use mHealth. Researchers should consider using the participatory approach in developing their interventions to ensure that their mHealth-based interventions will not only address the patient's HF self-management needs but also be easy enough to use even for those who are less technology savvy.

Development of a visual e-learning system for supporting the semantic organization and utilization of open learning content

In an open e-learning content management environment, relation metadata is of benefit to improve semantic organization and reusability of learning content. Although the suggested relations defined in the SCORM and the extended relations proposed in the past studies can describe semantic relationships, there are some new requirements of semantic organization and utilization of open learning content. Based on existing models, this paper presents an extended relation metadata model for open knowledge communities. In order to help users to author and utilize the semantic relation, the visual authoring system named web-based visual authoring system for relation metadata (WVAS-RM) in the Learning Cell Knowledge Community is designed and implemented to assist the construction and utilization of semantic relations of Learning Cells. The paper presents an empirical evaluation of the teachers’ and learners’ acceptance and satisfaction of the proposed system using the adapted Technology Acceptance Model and System Usability Scale. The semi-structured interviews are also carried out with participants including teachers and students. It is concluded that students and teachers feel confident and satisfied with the system.

Acceptance of Mobile Technology for Citizen Science in Water Resource Management

AbstractDutch water management is considered highly efficient, but it faces a lack of public awareness and other certain physical challenges. One proposed strategy to deal with these challenges includes increasing citizen participation and citizen science using mobile devices in particular. Such mobile crowd sensing (MCS) can be used to enhance canal operations and model predictive control (MPC) by nonexperts. The data collector often pushes implementations, and little knowledge and experience from the field of product design is used. This can lead to underperformance both with regards to the technology and the volunteer citizens. This study uses an adapted Technology Acceptance Model 3 (TAM3) to survey Dutch citizens’ intentions while operating a mock-up smartphone application to identify key drivers of their acceptance in an early design phase. Included among the important drivers of citizens’ behavioral intentions (BI) are usefulness, relevance to the task, and the demonstrability of benefits. These in...

Family Educators’ Technology Use and Factors Influencing Technology Acceptance Attitudes

The purpose of the study was to examine family educators’ use of information and communication technology and factors that predict attitudes favorable to the adoption of technology in practice. Data were obtained from 210 family educators in the United States. Structural equation modeling tested the validity of an adapted Technology Acceptance Model to predict influences on attitudes. Descriptive statistics showed that Internet searching and cell phones were predominantly used both at work and for personal use while social media such as Facebook was used far less for work. Family educators’ attitudes toward technology use were directly related to perceived ease of use, perceived usefulness of technology, and subjective norms. Perceived ease of use and perceived usefulness mediated the influence of facilitating conditions (availability of training and assistance) and subjective norms, respectively, on attitudes. Suggestions for research and to support technology integration for family educators are offered.

Factors affecting the adoption and use of gene expression profiling by oncologists in clinical practice.

In this study, we evaluated the association between oncologists' perceptions of and attitudes toward one frequently used gene expression profiling assays, the Oncotype DX® and oncologists' intention to use this assay in making treatment recommendations for breast cancer patients. A nationally representative sample of breast cancer oncologists was surveyed using an adapted technology acceptance model. The survey response rate was 44.1%. The test characteristics `validity of the test' (p = 0.006) and 'use of Oncotype DX by fellow oncologists' (p = 0.0068) were significantly associated with use of the assay by oncologists. Oncologists' intention to use Oncotype DX increased consistently with their perceptions about its usefulness (β = 0.222). Insurance status of the patients was also significantly associated with physicians' use of Oncotype DX (p = 0.008). We report a novel application of an adapted technology acceptance model to understand the adoption of gene expression profiling by oncologists who treat breast cancer patients in making treatment recommendations.

Customer Satisfaction in the Context of Online Gaming Service

Prior research has devoted considerable attention to consumer hedonic experience and customer satisfaction in retailing and e-commerce settings. However, very little effort has been made to investigate the relationship between hedonic experience and customer satisfaction in the context of information system use. To fill this gap, this study investigates the effect of hedonic experience on game player satisfaction using an adapted technology acceptance model. By doing so, this article addresses the core research question: What drives online game player satisfaction? In support of the model and most of the hypotheses, the empirical results not only identify key antecedents of enjoyment and perceived usefulness, but also confirm the significant role of the two constructs in predicting player satisfaction. This study thus helps both information systems and marketing researchers attain a better understanding of customer satisfaction, expand their baseline knowledge of hedonic experience constructs, and conduct more fruitful and illuminating future research on e-commerce service.

PCN196 - Factors Influencing Use of Gene Expression Profiling by Physicians for Breast Cancer Treatment Recommendations

Relatively little is known about physicians’ decisions to adopt and use GEP to aid in treatment recommendations. The objective of this study was to determine the association between specific characteristics of a GEP assay, Oncotype DX and oncologists’ intention to use this assay in making treatment recommendations for breast cancer patients. A nationally representative sample of oncologists treating breast cancer patients was surveyed. Linear regression analysis was performed to establish the association between physicians’ perceptions and intentions to use Oncotype DX. A total of 119 completed surveys were received yielding a response rate of 44.1%. Of the Oncotype DX test characteristics evaluated, ‘validity of the test’ (p= 0.006) and ‘use of Oncotype DX by fellow Oncologists’ (p=0.0068) were significantly associated with oncologists’ use of the assay. Oncologists’ intention to use Oncotype DX increased consistently with their perceptions about its usefulness (β =0.222). Insurance status of the patients was also significantly associated with physicians’ use of Oncotype DX (p=0.008). We report a novel application of an adapted technology acceptance model to understand decision-making by oncologists who treat breast cancer patients surrounding the use of GEP in making treatment recommendations. Our study provides insights into the characteristics and innovation factors of a particular genomic diagnostic that affect decision-making by oncologists who treat breast cancer patients. Our findings have implications for knowledge translation efforts related to molecular genomic diagnostics and to the development of future molecular genomic diagnostics.

Using RPC Block Adjustment models for the accuracy of environmental research, cartography and geomarketing: a new concept of cartography

This paper presents rational polynomial coefficients (RPC) block adjustment model and its application as a new concept for the accuracy of environmental research, cartography and geomarketing. With the influence of information technology (IT) rapid development, Geographic Information Systems and remote sensing, the application of cartography, has gradually evolved from the form of paper into digitized and computerized data, from traditional formats such as vector maps into Satellite Image Maps (SIM). Particularly, remotely sensed images are a major data source to observe the earth and; have been extensively integrated into spatial–temporal analysis in environmental research. To effectively use high resolution satellite images for use in environmental monitor research, cartography and geomarketing, the accuracy of the satellite image photogrammetric process is an important issue. The aim of this paper is to apply the block adjustment of RPC models to evaluate the precision of satellite image for the use of environmental research, cartography and geomarketing, which is not found in previous literature. To verify the effectiveness of RPC Block Adjustment, this study also adapted Technology Acceptance Model (TAM) to develop a questionnaire for conducting the implementation investigation. The results showed the method is useful and powerful for the various applications and research.

Adapted technology acceptance model for mobile policing

Purpose – In light of a growing trend towards mobile information management and a UK governmental drive for police forces to implement mobile technologies and realise significant benefits, it is important to examine the factors affecting officer acceptance. There appears to be little understanding of the key factors, yet this is critical to the success of the initiative. The purpose of this paper is to investigate the main factors that influence the usage of mobile technologies amongst police officers.Design/methodology/approach – A qualitative, partially ethnographic design was followed to allow an in‐depth exploration of this issue. The study was based on a mixed‐methods longitudinal evaluation study of the implementation of mobile technologies within a UK police force over a nine‐month period. The technology acceptance model (TAM) and the subsequent TAM2 and TAM3, were then reengineered to provide a suitable theoretical model for a mobile policing context.Findings – In total, four main categories of of...

Evaluating the Factors Affecting DSS Usage by Senior Managers in Local Authorities in Egypt

The study of factors influencing the adoption and use of information systems in less-developed countries is an important area to address since differences in culture, social structure, and business approaches may have significant effects on the benefits derived from importing Western-influenced IT technology, concepts, and management approaches. This study examines the usage of a decision support system (DSS) in Egyptian local authorities using an adapted Technology Acceptance Model (TAM). The centrally-developed DSS had been rolled out to 27 governorates in Egypt for use by chief executive officers. The results demonstrated that TAM could be applied to a specific system within a developing country. Both perceived ease of use (PEU) and perceived usefulness (PU) had a significant direct effect on DSS usage. PEU dominated over PU whose effect on DSS usage was negative.