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This study aims to understand the factors affecting the continuance usage intention (CUI) of mHealth among the rural elderly.

An integrated model was proposed with the constructs derived from multiple models such as the unified theory of acceptance and use of technology, information system success model and expectation confirmation model. Data were collected from 400 participants who had prior experiences with mHealth services in Bangladesh. The research model was tested using the partial least squares method based upon structural equation modelling.

The findings indicated that system quality, performance expectancy, facilitating conditions and social influence were significant to the degree of confirmation and ultimately affect satisfaction and CUI. Surprisingly, service quality and information quality were insignificant.

This study has added in the field of knowledge by contributing some new thoughts and interpretations of continuance usage modelling for mHealth services. The findings may become beneficial for the government agencies, policymakers, mHealth systems developers and service providers.

As limited research was found on CUI of mHealth in the integrated view of rural elderly’s value, this research contributes to the extant literature by categorizing key factors that might support to proliferate the continuance usage of this service. Moreover, the contextualization of the related variables and integration of the existing model is theoretically original. Furthermore, because of a generic approach, the findings could be easily modified to assist other developing countries in the planning and up-take of mHealth.

The purpose of this paper is to measure the impact of open government data (OGD) on citizen empowerment.

This study advances the body of knowledge on OGD by proposing an integrated research model based on transparency, accountability, participation and collaboration dimensions. The research model was empirically tested using 275 responses using the on-paper survey from the university students and professionals in Bangladesh. Data were analyzed using the structured equation modeling technique.

Findings revealed that transparency and participation have a positive and significant direct and indirect influence on citizen empowerment through accountability and collaboration. Overall, the four basic pillars of OGD such as transparency, participation, accountability and collaboration interrelated with each other and have the impact on citizen empowerment.

This study has proposed an instrument that sums the dimensions of open government, which avoids tautology and redundancy among OGD dimensions. More research should be done to validate the proposed model and the instruments used in this study.

For the researchers, this study provides a basis for further refinement of individual models of empowerment. For practitioners, understanding the key constructs is crucial to design, refine and implement OGD systems and applications that empower citizens, create public values and strengthen the democratic process.

This research is the first step that empirically investigates the impact of OGD on citizen empowerment which is the ultimate goals of any democratic government.

The purpose of this study is to explain predictors that discriminate users’ preferences for online health services, focusing on a downtown area in a developing country.

Drawing on rational choice theory (RCT), the authors test a model that links the frequency of online health service usage to access-activators and access-inhibitors. Multivariate analysis of variance (MANOVA) and the discriminant analysis model were used to analyze data from a sample of 215 internet users.

Results confirm the significance of responsiveness, user’s attitude, accessibility and perceived ease of use, indicating their discriminating role in the usage of online health services.

The study demonstrates the relevance of RCT in measuring perceived online health service quality in an emerging context. Future research should consider the influence of electronic health (eHealth) literacy, norms and trustworthiness to increase the generalizability of the findings.

The findings of this study can help enhance the eHealth service quality by encouraging service providers to improve the interactivity and ease of use of their platforms, thus delivering value to both consumers and firms and improving the well-being of the society at large.

Few existing studies draw attention to access-activators and access-inhibitors to predict users’ preferences for online health services. This study shows the applicability of RCT in preparing the instrumental dimensions of online health service quality.

The purpose of this paper was to explore the comparative influential factors affecting the behavioral intention and actual usage of mHealth services in two distinct national environments, i.e. China and Bangladesh, in relation to the international expansion of mHealth services.

In this study, widely accepted Unified Theory of Acceptance and Use of Technology (UTAUT) with two additional variables, i.e. Perceived Reliability and Price Value have been selected as a theoretical framework. Primary data were collected from existing mHealth users among generation Y in both China and Bangladesh. A total of 296 and 250 questionnaires were deemed as usable for data analysis for Bangladesh and China, respectively.

Performance expectancy and social influence had significant impact on the adoption intention of mHealth services for both countries. Effort expectancy and price value were insignificant factors for Bangladesh, whereas facilitating condition and perceived reliability were insignificant for China.

The insights from this study could benefit mHealth services providers and those policymakers who seek to enter the Chinese and the Bangladeshi healthcare market. The dimensions identified in the study are based on a full assessment of mHealth usages experiences. Global service providers can use the dimensions identified by the paper to better assess their service performance on an international level.

The paper is unique in that it is one of the first cross-country examinations of influential factors affecting the adoption of mHealth services in two different countries. This study confirms the applicability of extended UTAUT model in the context of mHealth services among the generation Y in developing countries such as China and Bangladesh.

This paper aims to investigate the role of business intelligence systems (BIS) in the relationship between organizational learning culture and organizational performance in the health-care context.

A quantitative approach was applied to identify the hypothesized relationships. Data were obtained from a survey of 217 mid- and top-level managers of health-care organizations in Bangladesh. Structural equation modeling was used to analyze the data.

The findings attest to the effectiveness of the mediating role of BIS in the relationship between organizational learning culture and organizational performance within health-care organizations. The theoretical and practical implications of the findings are also discussed.

The study data were collected from a single country, which made generalization difficult. Further research should be carried out to replicate the present study with different organizational cultural variables and organizational outcomes, such as patient satisfaction.

This study provides a clear direction for hospital managers to invest more resources in an effective learning culture, to be positively mediated by BIS and to eventually enhance their hospitals’ performance. In addition, this study also suggests that hospital managers should focus on building a knowledge-based learning culture, to effectively use the information provided by BIS.

Despite the prior study on the applications of BIS and their value to an organization, little is known about the impact of organizational learning culture on BIS in health-care organizations. The findings give support to the argument that organizational learning culture plays an important role in BIS that, in turn, affects business performance.

This paper aims to investigate and comprehend the nature of the relationship between e-government development and the digital economy.

A multidimensional research paradigm is developed on the basis of the technology adoption model and Fountain’s technology enactment theory. The model is empirically examined using a regional study of 20 Asian countries.

A positive two-way relationship between e-government development and the digital economy has been indicated by the findings. Moreover, along with social, economic, political, technological and demographic factors, certain national cultural characteristics have significant effects on the digital economy and e-government development.

One of the key limitations of the study is that it is based on publicly available secondary data. Therefore, some degree of caution should be kept in mind when making generalisations about the findings of this study.

The contribution of this study is that it provides a more accurate and comprehensive understanding of the dynamic association between e-government development and the digital economy by providing aid to policymakers in understanding the nature of dynamic relationships between the digital economy, government organisations and citizens’ adoption of technologies.

The purpose of this study is to understand the mediating role of psychological need and immersive experience on graduates' skill gaps on massive open online courses (MOOCs) adoption intention.

The proposed research model is developed by combining two popular theoretical models, namely, the self-determination theory, network externalities theory along technology adoption theory. Data are collected from 318 respondents to test the model. Structural equation modeling (SEM) is applied to analyze the data.

The study reveals that the sense of psychological needs and immersive experience mediates the influence of skill gap and social interaction on MOOC adaption willingness. However, immersive experience alone cannot influence adoption intention. Similarly, psychological needs cannot have a significant impact on adoption intention without the graduate skill gap.

This study specifically focuses on investigating the mechanism of how psychological needs satisfaction mediates the relationship between graduates' skill gap and MOOC adoption intention. The findings suggest us to develop a course that will increase learners employability skill. This study also contributes by incorporating the idea of immersive experience to facilitate improved virtual social interaction.

Information and communication technologies (ICTs) have received much attention as a tool for development for several decades. One way in which ICTs were introduced in developing countries, particularly prior to the advent of smartphones, was through shared access and information centres. Many of these were established as pilots, but were unable to operate without external funding and were often declared failures. And some of them probably were, particularly those that focussed exclusively on ICT as a technology, rather than on how the centres could contribute to improving livelihoods. The purpose of this paper is to explore how some centres, namely “Bangladesh Rural Advancement Committee (BRAC) Gonokendra” in three villages of Bangladesh, influenced socio-economic development.

This study was informed by the Heeks and Molla’s extended information chain model and Sen’s “development as freedom”. The field study was undertaken in three BRAC Gonokendras located in different villages in rural Bangladesh.

While the authors found that the centres contributed to socio-economic development, this contribution was limited by social constraints, hindering the well-being of individuals and families. Addressing social constraints thus remains a challenge in order for ICTs to contribute to development.

The extended framework to investigate ICT-led socio-economic development implies that ICT as a catalyst can promote development at micro/community level only by simultaneously addressing social constraints.

The purpose of this paper is to examine the HR roles of Bangladesh HR professionals in the public and private firms in Bangladesh using Human Resource Competency Study (HRCS) model (2016). The impact of identified HR competencies on firm performance and moderation of this relationship concerning different stages of organisation life cycle (OLC) is also explored.

This quantitative study uses the HRCS model (RBL, 2015) as its underpinning analytical framework, and explores the impact of identified HR competencies on firm performance and analyses whether this relationship is moderated by different OLC stages. The sample for this study consisted of 202 HR professionals from both public and private organisations in Bangladesh.

Results confirmed that all the nine competencies of HRCS model were demonstrated by the HR professionals in Bangladesh. The “credible activist” competency achieved the top ranking and “paradox navigator competency” recorded the lowest. Minor variation in terms of levels of competencies was observed in the context of private and public firms. HR competencies positively impacted the firm performance and only the maturity and growth stages of a firm’s life cycle moderated this relationship.

There is a deficit of studies which have tested this relationship in terms of the moderating effects of OLC stages in the Asian developing country context. Focusing on this paucity of research concerning the transference of western human resource management models in developing economies and their resultant impact on firm performance, this is the first study set out to explore whether the most cited western HRCS model (RBL, 2015) is useful in understanding HR competencies in Bangladesh.

The purpose of this study was to identify the influence of organizational strategy, structure, process and culture on organizational effectiveness and the possible mediating role of business intelligence (BI) systems among them.

Sample data for this study were collected from 225 organizational units in Bangladesh and analyzed using the partial least squares method, a statistical analysis technique based on the structural equation modeling.

The results revealed that organizational factors, such as organizational strategy, structure, process, and culture positively affect both BI systems’ effectiveness and organizational effectiveness. Furthermore, BI systems’ effectiveness partially mediates the impact of organizational strategy, structure, process and culture on organizational effectiveness.

BI systems are context-specific and can influence organizational effectiveness. Dearth in research on the influence of organizational factors to BI systems motivates this study to contribute in BI systems literature by proposing a theoretical model and investigating the mediating role of BI systems among various organizational factors and organizational effectiveness.