Predicting determinants of Internet banking adoption

Sharma, Sujeet Kumar; Govindaluri, Srikrishna Madhumohan; Balushi, Shahid M. Al

doi:10.1108/mrr-06-2014-0139

Cited by 57 publications

(17 citation statements)

References 48 publications

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“…Our findings demonstrated minimal or no differences between train and test errors (see Table 16), confirming a non-overfitting and non-underfitting model [108]. The neural network's efficiency and prediction accuracy is measured by the root mean square error (RMSE) PLOS ONE [114]. The findings (see Table 16) confirmed that the values of RMSE with minimal training and testing errors (see Table 16), indicating an optimal fit DNN model.…”

Section: Plos Onesupporting

confidence: 65%

Forecasting care seekers satisfaction with telemedicine using machine learning and structural equation modeling

et al. 2021

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Many individuals visit rural telemedicine centres to obtain safe and effective health remedies for their physical and emotional illnesses. This study investigates the antecedents of patients’ satisfaction relating to telemedicine adoption in rural public hospitals settings in Bangladesh through the adaptation of Expectation Disconfirmation Theory extended by Social Cognitive Theory. This research advances a theoretically sustained prediction model forecasting patients’ satisfaction with telemedicine to enable informed decision making. A research model explores four potential antecedents: expectations, performance, disconfirmation, and enjoyment; that significantly contribute to predicting patients’ satisfaction concerning telemedicine adoption in Bangladesh. This model is validated using two-staged structural equation modeling and artificial neural network approaches. The findings demonstrate the determinants of patients’ satisfaction with telemedicine. The presented model will assist medical practitioners, academics, and information systems practitioners to develop high-quality decisions in the future application of telemedicine. Pertinent implications, limitations and future research directions are endorsed securing long-term telemedicine sustainability.

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Section: Plos Onesupporting

confidence: 65%

Forecasting care seekers satisfaction with telemedicine using machine learning and structural equation modeling

et al. 2021

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“…Over the past few years the growth of information and communication technology in the global banking industry is accelerating (Sharma et al, 2017). The banking industry implements technology to achieve competitive advantage through a larger customer base and personalized banking services for reduced operational costs (Sharma, Govindaluri, & Al Balushi, 2015;Laukkanen, 2016). Consistent with resources-based theory, the company's resources can be a key driver in the performance and competitiveness of enterprises (Riahi- Belkaoui, 2003).…”

Section: Hypotheses Developmentmentioning

confidence: 99%

Digital Banking, Corporate Governance, Ownership Structure, and Intellectual Capital Performance: Evidence from Indonesia

Tjendani

Widagdo

Muthmainah

2018

Jurnal Keuangan Dan Perbankan

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The base of the company's growth has changed, from tangible assets to intangible assets. Many companies recognize the importance of IC as performance drivers. This research aimed to examine the effect of the implementation of digital banking, corporate governance, family ownership, foreign ownership, and government ownership on Intellectual Capital (IC) performance; and examined the effect of interactions between corporate governance and ownership structure on IC performance in banking companies listed on the Indonesia Stock Exchange (IDX) during 2012-2016. This research used a regression method with panel data. The total observations were 130 cases. In this research, IC performance used Value Added Intellectual Coefficient (VAIC). We proved that the implementation of digital banking did no significant implications for IC performance in the same year because it was still in the process of developing. Family ownership, foreign ownership, government ownership, and the interaction between corporate governance and ownership structure did not affect IC performance. On the contrary, this research proved that corporate governance had significant implications for improving IC performance.

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“…Bandura (1982) suggested the concept of self-efficacy as “the degree of power of an individual's trust in one's own ability to ask for completion.” Computer self-efficacy measures the trust level an individual has regarding the use of computer-based technologies to perform the required tasks (Bao et al , 2013). Computer self-efficacy is considered a major factor affecting consumers' choice to implement computer-related technologies (Sharma et al , 2015). In the cloud computing field, Yang and Lin (2015) noted that computer self-efficacy impacts consumers' expectations on the implementation and ongoing utilization of cloud storage resources in the future.…”

Section: Proposed Model and Hypothesesmentioning

confidence: 99%

Assessing the impact of cloud-based services on the talent management of employees

Liú

Darbandi²

2021

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PurposeFundamental literature exists on the employment of diverse information technology (IT) innovations relied on utility computing, a little experimental literature exists on cloud computing adoption by medium enterprises. So, this essay aims to analyze the determinants of the acceptance of cloud computing in medium-sized organizations. It also targets the impact of cloud-depended services on employers' talent management in the analysis areas of research reports, hypotheses and frameworks used by them.Design/methodology/approachCloud computing is a novel and notable development in the network application field with a novel IT viewpoint. The present investigation aims to assist and enrich the scientific argument regarding the phenomenon nominated cloud computing from a managerial perspective. A quantitative study design was utilized to gather and analyze the data. In total, 345 employees from different medium enterprises reported their perspectives via an online survey. Partial least squares was used to evaluate the model of the study. The investigation was performed from April 2020 to November 2020.FindingsAs expected, the empirical analysis results revealed that cloud computing adaption drivers positively and significantly associated with talent management. The results showed that organizational level is the most important factor in the effectiveness of talent management. Further, this study established a cloud strategy that moderates the relationships between cloud computing adaption drivers and talent management. As a general result, organization managers must implement cloud computing to improve organizational performance, reduce costs, enhance organizational innovation and reduce repetitive work. So, international trade facilitates and helps the country's economy.Research limitations/implicationsThere are still some drawbacks of this analysis that require addressing the findings. Initially, the authors gathered a country's data. Second, by considering multiple significant structures from four aspects, they established the study model. Third, utilizing one-time cross-sectional data, the suggested model was evaluated. As a proposal, future researchers could investigate cloud computing adoption drivers' outcomes within other organizations.Originality/valueThis research presents a straightforward and easy model for understanding the cloud's effect on employee talent management. By systematizing the unrelated studies on the subject and organizing those contributions into strong managerial literature paradigms, such an aim has been accomplished.

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Predicting determinants of Internet banking adoption

Cited by 57 publications

References 48 publications

Forecasting care seekers satisfaction with telemedicine using machine learning and structural equation modeling

Forecasting care seekers satisfaction with telemedicine using machine learning and structural equation modeling

Digital Banking, Corporate Governance, Ownership Structure, and Intellectual Capital Performance: Evidence from Indonesia

Assessing the impact of cloud-based services on the talent management of employees

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