Determinants of individuals’ intention to use mobile health: insights from India

Pai, Rajesh R.; Alathur, Sreejith

doi:10.1108/tg-04-2019-0027

Cited by 32 publications

(26 citation statements)

References 76 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Aplikasi yang menyediakan layanan kesehatan menjadi jawaban dari keinginan masyarakat di era globalisasi dimana masyarakat dunia terutama di Indonesia menginginkan semuanya serba cepat dan praktis. Perpaduan antara smartphone dengan aplikasi ini, membuat gaya hidup individu telah berubah (Pai & Alathur, 2019). Jumlah pengguna layanan kesehatan digital (mHealth) yang meningkat secara signifikan membuktikan bahwa mHealth digemari masyarakat (Ulya, 2019).…”

Section: Latar Belakangunclassified

“…Modifikasi dilakukan karena ada research gap yang ingin dijawab melalui penelitian ini berupa research limitation dari penelitian Peprah et al (2019) untuk meneliti tentang informasi kesehatan seperti apa yang dicari oleh pengguna aplikasi mHealth. Kemudian penelitian ini juga akan menjawab keterbatasan penelitian dari Pai & Alathur (2019) untuk menggunakan variabel perceived ease of use dan trust untuk mengukur signifikansi dan varians dalam niat penggunaan. Dan yang terakhir karena adanya inkonsistensi hasil dari pengaruh variabel perceived usefulness dan ease of use yang saling mempengaruhi.…”

Section: Latar Belakangunclassified

“…Data primer yang telah diperoleh akan diolah dan dianalisis menggunakan teknik Structural Equation Model (SEM). (Kaium et al, 2019;Pai & Alathur, 2019;Zagita et al, 2019)…”

Section: Metode Penelitianunclassified

See 2 more Smart Citations

Faktor Yang Mempengaruhi Keberlanjutan Minat Pengguna Dalam Menggunakan Aplikasi Mhealth Melalui Variabel Satisfaction

Hermawan

Paramita

2021

JBM UNMERMLG

View full text Add to dashboard Cite

The use of internet and smartphone has evolved. The rapid growth of innovation in technology allows them to become a high-functioning service provider through many of the applications available to help out humans fulfilling their needs. People demand quick and instant service provision, including health service. Applications based on mHealth technology are made to serve that demand. This research aims to examine the effects of intervening variables such as perceived usefulness, perceived ease of use, trust in application, and satisfaction on consumers’ continuance intention to use mHealth technology. This research employs a quantitative method to assess primary data samples taken from the users of Halodoc health service application in Java. The results of this research show that the trust and perceived usefulness variables do not significantly affect consumers’ continuance usage intention. Only the perceived ease of use and satisfaction variables yield a significant impact on consumers’ continuance usage intention. Hopefully, these results can be a valuable insight for PT Media Dokter Investama to enhance their service to attract more mHealth technology users to use Halodoc.

show abstract

Section: Latar Belakangunclassified

See 1 more Smart Citation

Faktor Yang Mempengaruhi Keberlanjutan Minat Pengguna Dalam Menggunakan Aplikasi Mhealth Melalui Variabel Satisfaction

Hermawan

Paramita

2021

JBM UNMERMLG

View full text Add to dashboard Cite

show abstract

“…The above macro numbers notwithstanding, health being a state subject and education being in the concurrent list in India, there exist substantial differences at the sub-national level when it comes to social sector spending as a share of the gross state domestic product (GSDP). The wide disparity in social sector expenditure patterns has resulted in different outcomes for states with high and low focus, as reflected in the relative rankings of states according to the health and education parameters (Pai and Alathur, 2019).…”

Section: Theoretical Framework and Hypothesesmentioning

confidence: 99%

Managing the COVID-19 pandemic: does social infrastructure matter? Evidence from India

Nandy

Tiwari

Kundu

2021

View full text Add to dashboard Cite

Purpose The COVID-19 pandemic educed extraordinary policy responses globally, including in India, to flatten the infection-growth curve. The trajectories of infections, recovery, and deaths vastly differed across Indian states. The purpose of this study is to investigate whether persistent investments by states in critical social sectors, such as health and education, explain their preparedness and hence better management of the pandemic. Design/methodology/approach This study uses secondary data on the number of infected, recovered and deceased due to COVID-19, along with data on population and income across 302 districts in 11 major states in India. Data on health and education indices are collected at the state-level. Linear regression models that also control for heteroskedasticity are applied. Findings This study finds that higher investments in health care and education reduce the propensity of the infection spread. Further, states with persistent investments in health care and education exhibit a higher rate of recovery. This study also finds that death rates are significantly lower in states with higher investments in education. Research limitations/implications The findings support the conjecture that states that have consistently invested in social sectors benefited from the associated positive externalities during the crisis that helped them manage the pandemic better. Originality/value This study will help policymakers understand the underlying social forces critical to the success in the fight against pandemics. Apart from improving preparedness for future pandemics, the evidence provided in the paper may help give better direction and purpose to tax-financed public spending in states where social sector development has hitherto received low priority.

show abstract

“…Prior research on e-government has examined the perceptions of citizen intentions to adopt e-government services in a number of instances, such as e-participation (Bataineh and Abu-Shanab, 2016), e-petitions (Ulo et al, 2019;Al Athmay, 2015), mobile health (Pai and Alathur, 2019), e-voting (Alomari, 2016), e-payment (Azmi et al, 2016), municipality (Stefanovic et al, 2016), e-excise (Khayun et al, 2012) and investment services (Pinem et al, 2018), or in general e-government services (Nulhusna et al, 2017;Al Athmay, 2015;Sharma, 2015).…”

Section: Hb5mentioning

confidence: 99%

An examination of citizen satisfaction with mandatory e-government services: comparison of two information systems success models

Alkraiji

2020

View full text Add to dashboard Cite

Purpose The purpose of this study is to empirically examine the utility of information systems (IS) success models in mandatory e-government services, as opposed to the volitional ones that have been the focus of previous studies. The models include the technology acceptance model (TAM) (1989) and Seddon’s model (1997), which involve three (ease of use, usefulness and citizens satisfaction) and four variables (system quality, information quality, usefulness and citizen satisfaction). Design/methodology/approach The models were compared based on a survey conducted on 780 foundation year students of government universities in Saudi Arabia. The Saudi Government has launched a mandatory e-government service geared to assist high school graduates in the university academic admission process. The goodness-of-fit and parsimony of fit indices and the explanatory power were used to compare the two models. Findings The structural equation modeling techniques revealed that overall, the two models both exhibited reasonable fit with the collected data, whereas TAM showed the best fit to the sample data and yielded superior goodness-of-fit indices over Seddon’s model. In terms of explanatory power, Seddon’s model predicted 28% (R2 = 0.28) of the variance explained for citizen satisfaction, whereas TAM predicted 21% (R2 = 0.21). All the parsimony of fit indices favored TAM over Seddon’s model. Research limitations/implications This study examined the validity of TAM and Seddon’s model, using citizen satisfaction as the dependent variable to compare them. TAM and Seddon’s model were modified to better fit the current research context of mandatory e-government services; thus, the findings may not hold for their original or other voluntary settings. In addition, the focus on a single survey for a certain time in a certain territory of mandatory e-government service may have limited the generalizability of the results to other mandatory contexts. Future research should make use of large, cross-sectional samples in different mandatory contexts to enhance result generalization. Practical implications This study’s findings can provide e-government practitioners with deeper perceptions of how to address citizen satisfaction with mandatory e-government services. The results exposed usefulness as the common and major construct, having the strongest influence on citizen satisfaction in both TAM and Seddon’s model; thus, maximizing the benefits of e-government services for citizens is crucial to their success. The causal relationship between information quality and citizen satisfaction was not supported. This supports the perspective that e-government services are currently evolving quickly, becoming more integrated and easier-to-use, generally requiring only a few clicks and less information. Originality/value This study has extended the assessment of the validity of IS success models to a mandatory IS usage setting. The comparison study of different IS success models is crucial as it acts as a guide for researchers to determine the trade-off between the models used to conduct research on a particular context. The study concludes that TAM is the most parsimonious and universal model for the study of user satisfaction in mandatory contexts. The findings will provide e-government practitioners with insights into IS success measures suited to enhance the effectiveness of newly and future mandated e-government services.

show abstract

Determinants of individuals’ intention to use mobile health: insights from India

Cited by 32 publications

References 76 publications

Faktor Yang Mempengaruhi Keberlanjutan Minat Pengguna Dalam Menggunakan Aplikasi Mhealth Melalui Variabel Satisfaction

Faktor Yang Mempengaruhi Keberlanjutan Minat Pengguna Dalam Menggunakan Aplikasi Mhealth Melalui Variabel Satisfaction

Managing the COVID-19 pandemic: does social infrastructure matter? Evidence from India

An examination of citizen satisfaction with mandatory e-government services: comparison of two information systems success models

Contact Info

Product

Resources

About