scholarly journals The Way of Expanding Technology Acceptance—Open Innovation Dynamics

2020 ◽  
Vol 6 (1) ◽  
pp. 8
Author(s):  
Ma. Nanette Casquejo ◽  
Celbert Himang ◽  
Lanndon Ocampo ◽  
Rosein Ancheta ◽  
Melanie Himang ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Open Innovation ◽  
Electrical Energy ◽  
The Philippines ◽  
Electrical Energy Consumption ◽  
Innovation Dynamics ◽  
Expected Benefits ◽  
Acceptance Model ◽  
And Control

To promote efficient use of electrical energy, technology-based solutions, along with their corresponding user acceptance assessments, have been seen to facilitate goal fulfillment concerning desired functionality and expected benefits, in an open innovation fashion. This paper simultaneously develops an electrical energy consumption monitoring system (EECMS) device that shall monitor and control the use of energy in real-time and assesses its acceptability to users according to the extended technology acceptance model (TAM) approach. This proposed EECMS device is tested in an academic institution in the Philippines, and it is found that the device can function as desired as well as render a significant favor from its users according to additional key constructs. As such, future developments of the device are encouraged to enhance key constructs identified as suitable for future adoption.

scholarly journals PREDICTING BEHAVIOURAL RESISTANCE TO BIM IMPLEMENTATION IN CONSTRUCTION PROJECTS: AN EMPIRICAL STUDY INTEGRATING TECHNOLOGY ACCEPTANCE MODEL AND EQUITY THEORY

2020 ◽  
Vol 26 (7) ◽  
pp. 651-665
Author(s):  
Guangbin Wang ◽  
Pengfei Wang ◽  
Dongping Cao ◽  
Xiaochun Luo
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Construction Projects ◽  
Contextual Factors ◽  
Equity Theory ◽  
Control Factors ◽  
Model Control ◽  
Behavioural Resistance ◽  
Expected Benefits ◽  
Acceptance Model

Despite its great potential to streamline design and construction processes, the implementation of building information modelling (BIM) in many projects has failed to achieve expected benefits due to user resistance. Grounded in the technology acceptance model and equity theory, this study proposes a model of factors predicting resistance behaviours to BIM implementation during the post-adoption stage in construction projects. The model is tested with partial least squares modelling on survey data collected from design engineers in BIM-based construction projects in China. The empirical results provide evidence that after controlling for related individual, organizational and project characteristics, efficiency and equity perceptions play prominent but independent roles in determining behavioural resistance to BIM implementation, and that these perceptions are differently associated with contextual factors at individual, team and project levels. Apart from the independent contextual factors conceptualized in the model, control factors such as individual age and organization nature are also found to be significantly associated with resistance behaviours. As an exploratory effort to examine resistance behaviours to BIM implementation in construction projects, this study contributes to deepened understandings of the complexity of innovation resistance behaviours in the context of construction projects and offer suggestions for how to manage such behaviours.

scholarly journals Factors influencing Community Healthcare Worker’s adoption of mobile health technology (mhealth): A case of sangini supportive supervision (sangini) app, Uttar Pradesh, India

2021 ◽  
Vol 33 (3) ◽  
pp. 519-522
Author(s):  
Sabhya Juneja ◽  
Archna Kumar
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Health Workers ◽  
Uttar Pradesh ◽  
Adoption Of Technology ◽  
Community Healthcare ◽  
Factors Influencing ◽  
Acceptance Model ◽  
And Control ◽  
Experimental Study Design

Background: Community Health Workers (CHWs) are agents in delivering primary healthcare.  mhealth is being used to improve their performance. However, there are little evidences on factors influencing adoption of technology. Henceforth, sangini app was undertaken for analysis. Objective: To investigate factors of adoption of sangini app among users and non-users. Methods & statistical analysis: Constructs from Technology Acceptance Model (TAM) and Theory of Self-Efficacy (SE) were used as tools for study. The study used an experimental study design Kaushambi and Pratapgarh districts of Uttar Pradesh (U.P.), India was selected as intervention and control groups respectively. The study sample consisted of CHWs i.e. 90 Sangini and 270 ASHAs. Two sample t test with equal variances and univariate regression analysis was applied. Results: TA and SE were predicators however; individual characters didn’t impact adoption of mhealth. Conclusion: There is need to comprehend factors influencing adoption of mhealth to improve performance of CHWs.

Developing and Validating a M-Governance Framework Adoption Model of a University for Communication Services to Its Affiliated Institutions

2017 ◽  
Vol 7 (7) ◽  
pp. 484
Author(s):  
E. Ramganesh ◽  
E. Kirubakaran ◽  
D. Ravindran ◽  
R. Gobi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Public Service ◽  
Mobile Applications ◽  
Communication Technologies ◽  
Mobile Technologies ◽  
Communication Services ◽  
Governance Framework ◽  
Social And Economic Development ◽  
Acceptance Model

The m-Governance framework of auniversity aims to utilize the massive reach of mobile phones and harness the potential of mobile applications to enable easy and round the-clock access to the services of its affiliated institutions.  In the current mobile age there is need for transforming e-governance services to m-Governance as m-Governance is not a replacement for e-Governance rather it complements e-Governance. With this unparalleled advancement of mobile communication technologies, universities are turning to m-governance to realize the value of mobile technologies for responsive governance and measurable improvements to academic, social and economic development, public service delivery, operational efficiencies and active stakeholder engagement. In this context the present study, aims to develop and validate a m-governance framework of a university by extending Technology Acceptance Model (TAM) with its prime stakeholders so called the Heads of the affiliated institutions. A survey instrument was developed based on the framework and it was administered with 20 Heads of the affiliated Institutions. The results also showed that the Heads of the affiliated Institutions expressed their favorableness towards m-governance adoption.

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