Examining the success factors for mobile work in healthcare: A deductive study

Chatterjee, Sutirtha; Chakraborty, Suranjan; Sarker, Saonee; Sarker, Suprateek; Lau, Francis

doi:10.1016/j.dss.2008.11.003

Cited by 166 publications

(124 citation statements)

References 50 publications

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“…Varshney [7] Chatterjee et al [4] Akter et al [1] System quality, content quality, and information quality Platform quality , interaction quality, and outcome quality Given that mHealth implementation is in its infancy, a review of the literature revealed that there were few studies which directly explored service quality in this domain. However, some researchers examined the predominant factors that influence quality perception in mobile health care (see Table 3).…”

Section: Mobile Health Carementioning

confidence: 99%

“…Mobile phone-based healthcare monitoring for the elderly Chatterjee et al [4] 2009 Success factors for mobile work in health care Ahluwalia & Varshney [3] 2009…”

Section: Mhealth Servicementioning

confidence: 99%

“…Despite the profound importance of service quality, there is a paucity of research which has developed and applied metrics to analyze this relationship [1]. A review of the literature (see Table 2) reveals that this area has been under-researched and most of the literature remains largely fragmented and anecdotal [1,4,15]. Therefore, it is necessary to explore 'service quality in mHealth' in order to develop a comprehensive and parsimonious scale for such ubiquitous health services.…”

Section: Mhealth Servicementioning

confidence: 99%

“…, Chatterjee et al [4] There is widespread evidence that mHealth can scale well to combat the evolving healthcare challenges by ensuring lower cost, wider access and better solutions [16]. It is expected that mHealth will soon transform the face and context of healthcare delivery around the world by improving overall patient care and the provision of personalized health services [17].…”

Section: Mhealth Servicementioning

confidence: 99%

“…The term 'mHealth' implies the use of mobile communications-such as personal digital assistants (PDAs) and mobile phones-for health information services [2]. mHealth has inherently provided greater flexibility and mobility by ensuring right-time information services to the right person at the right place [3][4][5][6][7]. It is seen as an enabler of change in the healthcare sector shifting the care paradigm from crisis intervention to promoting wellness, prevention, and self-management [1,2].…”

Section: Introductionmentioning

confidence: 99%

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Development and validation of an instrument to measure user perceived service quality of mHealth

Akter

D’Ambra

Ray

2013

Information & Management

222

157

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Ray, P. (2013). Development and validation of an instrument to measure user perceived service quality of mHealth. Information and Management, 50 (4), 181-195. Development and validation of an instrument to measure user perceived service quality of mHealth AbstractThe role of service quality in fostering the growth of mHealth services has gained much attention in the academic and practitioner communities. However, empirical research in this area has been beset by inadequate conceptualization and the lack of a validated scale. This study addresses these limitations by theoretically conceptualizing and empirically validating a multidimensional service quality scale in the mHealth context. The findings show that mHealth service quality is a hierarchical, multidimensional, and reflective construct, which consists of three primary dimensions and eight subdimensions. The results also confirm that the mHealth service quality scale is more effective at predicting satisfaction and continuance in a nomological network. Development and Validation of an Instrument to MeasureUser Perceived Service Quality of mHealth Abstract: The role of service quality in fostering the growth of mHealth services has gained much attention in academic and practitioner communities. However, empirical research in this area has been beset by inadequate conceptualization and the lack of a validated scale. This study addresses these limitations by theoretically conceptualizing and empirically validating a multidimensional service quality scale in the mHealth context. The findings show that the mHealth service quality is a hierarchical, multidimensional, and reflective scale, which consists of three primary dimensions and eight subdimensions. The results also confirm that the mHealth service quality scale can better predict satisfaction and continuance in a nomological network.

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Section: Mobile Health Carementioning

confidence: 99%

“…Mobile phone-based healthcare monitoring for the elderly Chatterjee et al [4] 2009 Success factors for mobile work in health care Ahluwalia & Varshney [3] 2009…”

Section: Mhealth Servicementioning

confidence: 99%

Section: Mhealth Servicementioning

confidence: 99%

Section: Mhealth Servicementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Development and validation of an instrument to measure user perceived service quality of mHealth

Akter

D’Ambra

Ray

2013

Information & Management

222

157

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Trustworthiness in mHealth information services: An assessment of a hierarchical model with mediating and moderating effects using partial least squares (PLS)

Akter

D’Ambra

Ray

2010

J. Am. Soc. Inf. Sci.

323

191

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The aim of this research is to advance both the theoretical conceptualization and the empirical validation of trustworthiness in mHealth (mobile health) information services research. Conceptually, it extends this line of research by reframing trustworthiness as a hierarchical, reflective construct, incorporating ability, benevolence, integrity, and predictability. Empirically, it confirms that partial least squares path modeling can be used to estimate the parameters of a hierarchical, reflective model with moderating and mediating effects in a nomological network. The model shows that trustworthiness is a second-order, reflective construct that has a significant direct and indirect impact on continuance intentions in the context of mHealth information services. It also confirms that consumer trust plays the key, mediating role between trustworthiness and continuance intentions, while trustworthiness does not have any moderating influence in the relationship between consumer trust and continuance intentions. Overall, the authors conclude by discussing conceptual contributions, methodological implications, limitations, and future research directions of the study.

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Patient empowerment through mobile health: Case study with a Brazilian application for pregnancy support

Delgado

Carvalho

Choo

et al. 2020

Proc Assoc Inf Sci Technol

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This paper analyzes how mobile health applications contribute to the empowerment of health service users. The theoretical foundation includes m‐health, user empowerment, and value co‐creation. Quantitative and qualitative methods were used to investigate the Kangaroo application (Canguru, in Portuguese), which targets Brazilian pregnant women and seeks to make women empowered for a healthy pregnancy. The free app is a healthcare social network designed by a health‐tech startup and a reference Brazilian hospital. It has already supported 350,000 pregnant women, and more than 200 health professionals. The data collection effort comprised application log analysis of 6 months of records of 99,709 users, mobile‐based survey with 429 women and 16 interviews. The results showed that the functionalities of the personal and social dimensions mapped in the application explain 85.5% of the user empowerment. The app social features impacted 2.4 more than the personal functionalities. The quantitative analysis concluded that there was no moderating effect of styles of value co‐creation practices on the relationship between empowerment and its dimensions. The theoretical contribution is associated with the discussion of the influence of personal and social dimensions of m‐health to the user empowerment.

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Examining the success factors for mobile work in healthcare: A deductive study

Cited by 166 publications

References 50 publications

Development and validation of an instrument to measure user perceived service quality of mHealth

Development and validation of an instrument to measure user perceived service quality of mHealth

Trustworthiness in mHealth information services: An assessment of a hierarchical model with mediating and moderating effects using partial least squares (PLS)

Patient empowerment through mobile health: Case study with a Brazilian application for pregnancy support

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