Employee readiness for acceptance of decision support systems as a new technology in E-business environments; A proposed research agenda

Ahmed, Fawad; Qin, Yaochen; Aduamoah, Maurice

doi:10.1109/icitm.2018.8333948

Cited by 12 publications

(8 citation statements)

References 14 publications

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“…By grouping their results into the main idea and the determinants that influence the acceptance of digital transformation by employees, the following basic concepts are recorded: change, Technology Acceptance Model (TAM), e-banking, employees' skills and strategy. A key factor in accepting the digital transition, as in any new and different case, is change management [26]. Employers' responsibility is to properly prepare for a culture of change [27] to mitigate possible adverse reactions that will jeopardize the new venture's success [25].…”

Section: Methodsmentioning

confidence: 99%

Digital Transformation and Strategy in the Banking Sector: Evaluating the Acceptance Rate of E-Services

Kitsios

Giatsidis

Kamariotou

2021

Journal of Open Innovation: Technology, Market, and Complexity

140

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Digital transformation in the banking sector is a continuous process that affects both the external and internal environment by redesigning internal processes and existing methods. There are many reasons that digital transformation takes place, such as servicing remote areas without physical branches, differentiation from competitors or reduction of operating costs. In any case, there are a lot of doubts about the acceptance of digital technologies. Thus, this article examines the acceptance rate of digital transformation in the banking sector in Greece. One hundred and sixty-one employees at Greek banks completed the survey. A Multivariate Regression Analysis was implemented to analyze the items of the Technology Acceptance Model. The findings of this paper indicate the perception of bank employees with regard to new technologies. This paper provides a practical contribution for executives of Greek banking organizations to schedule targeted educational programs to facilitate the transition to the new digital era for their employees. Executives are curious if employees are ready to accept and implement digitalization in their daily job routine. Therefore, the Technology Acceptance Model can provide answers to executives in facing these challenges.

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Section: Methodsmentioning

confidence: 99%

Digital Transformation and Strategy in the Banking Sector: Evaluating the Acceptance Rate of E-Services

Kitsios

Giatsidis

Kamariotou

2021

Journal of Open Innovation: Technology, Market, and Complexity

140

View full text Add to dashboard Cite

show abstract

“…Its survey's general population is all employees with in-depth knowledge of e-gov and their services. Since this study was intended to gather information on the e-gov adoption decision-making experience and opinion, it is therefore initially proposed that the study should be carried out at one public sector organization, and the sample size could be expanded in the future by incorporating some similar organizations (Ahmed, Qin, & Aduamoah, 2018).…”

Section: Survey Administrationmentioning

confidence: 99%

“…In a survey designed by Munoz-Leiva et al (2017), the final questionnaire contained 16 items. Three statements PEOU and five PU statements are expected to be measured updated from Ahmed et al, 2018 andVenkatesh &Davis, 2000 were conducted using the TAM model. Three items are used to measure trust (Munoz-Leiva et al, 2017) in the same way as three items are used to measure attitude adapted from Venkatesh and Davis (2000).…”

Section: Proposed Measuresmentioning

confidence: 99%

Public Sector Employee Perspective towards Adoption of E-Government in Pakistan: A Proposed Research Agenda

Ahmad¹,

Waqas²,

Zhang³

2021

Data and Information Management

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Governments across the globe are continually working to improve infrastructure for their people. Today, the precise and accurate understanding of the factors that significantly affect public sector employees is one of the utmost crucial challenges for the adoption of e-government services in Pakistan. Without adequate knowledge of these factors, the level of welcome to new services or technology would not be predictable. The study targets employees in the public sector who provide e-government services in Pakistan. On a theoretical basis, Technology Acceptance Model (TAM) examined the effect of ease of use on attitudes, perceived usefulness, and trust and its effect on the public sector employees intent to adopt an e-government system. This research aimed to identify the factors that influence the adoption of e-government services by public sector employees in Pakistan. Data for this survey can be obtained from public sector employees in Pakistan. The results of this study are projected to show that the proposed framework is useful in evaluating the adoption of the e-government system in public sector employees and that the expanding new factor, trust, and attitude in this model are of essential importance.

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“…This analysis is effective in comparing multiple regression models by evaluating the changes in R 2 and its significance. It determines whether the increment (or decrement) of R 2 value for the dependent variable (e.g., Attitude) is statistically significant after including a new set of independent variables (we called it model 2) into the original set of independent variables (we called it model 1) [102,103]. This analysis was conducted in earlier research by extending TAM [20] with the evaluation of robot characteristics in predicting robot acceptance [104] and extending TRA [63] with a key determinant from TPB [105] in determining the intention to work with a social robot [106].…”

Section: Objectivementioning

confidence: 99%

Persuasive Robots Acceptance Model (PRAM): Roles of Social Responses Within the Acceptance Model of Persuasive Robots

Ghazali

Ham

Barakova

et al. 2020

Int J of Soc Robotics

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In the last years, there have been rapid developments in social robotics, which bring about the prospect of their application as persuasive robots to support behavior change. In order to guide related developments and pave the way for their adoption, it is important to understand the factors that influence the acceptance of social robots as persuasive agents. This study extends the technology acceptance model by including measures of social responses. The social responses include trusting belief, compliance, liking, and psychological reactance. Using the Wizard of Oz method, a laboratory experiment was conducted to evaluate user acceptance and social responses towards a social robot called SociBot. This robot was used as a persuasive agent in making decisions in donating to charities. Using partial least squares method, results showed that trusting beliefs and liking towards the robot significantly add the predictive power of the acceptance model of persuasive robots. However, due to the limitations of the study design, psychological reactance and compliance were not found to contribute to the prediction of persuasive robots' acceptance. Implications for the development of persuasive robots are discussed.

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Employee readiness for acceptance of decision support systems as a new technology in E-business environments; A proposed research agenda

Cited by 12 publications

References 14 publications

Digital Transformation and Strategy in the Banking Sector: Evaluating the Acceptance Rate of E-Services

Digital Transformation and Strategy in the Banking Sector: Evaluating the Acceptance Rate of E-Services

Public Sector Employee Perspective towards Adoption of E-Government in Pakistan: A Proposed Research Agenda

Persuasive Robots Acceptance Model (PRAM): Roles of Social Responses Within the Acceptance Model of Persuasive Robots

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