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This study was designed to specifically explore confirmation and perceived usefulness associated with mobile food ordering apps (MFOAs) in consideration of their impacts upon attitudes, satisfaction and intention to continuously use.

The research utilized the convenience sampling to gather data from 250 respondents having prior experience with MFOAs during COVID-19 pandemic period in Bangladesh. The Structural Equation Modeling technique was applied to analyze the data using SmartPLS 3 software.

This study's results showed that customers' perceived confirmation and usefulness were significant in determining their dinning attitudes. Besides, customers' dining attitudes were positively related to e-satisfaction. Finally, the customers’ continuance intention to use MFOAs was significantly influenced by their e-satisfaction.

Restaurants managers should focus on online sales through MFOAs during the pandemic period since social distancing is a key strategy to manage COVID-19. Customers should be assured that the safety measures are undertaken while delivering the food.

This study incorporated the expectation-confirmation theory and technology acceptance model and tested it in the context of MFOAs.

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.

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.

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 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.

Application of appropriate shading device strategies in buildings can reduce direct solar heat gain through windows as well as optimize cooling and artificial lighting load. This study investigates the impact of common shading devices such as overhangs, fins, horizontal blinds, vertical blinds and drapes on energy consumption of an office building and suggests energy efficient shading device strategies in the contexts of unique Bangladeshi subtropical monsoon climate.

This research was performed through the energy simulation perspective of a prototype office building using a validated building energy simulation tool eQUEST. Around 100 simulation patterns were created considering various types of shading devices and building orientations. The simulation results were analysed comprehensively to find out energy-efficient shading device strategies.

Optimum overhang and fin height is equal to half of the window height in the context of the subtropical climate of Bangladesh. South and West are the most vulnerable orientations, and application of shading devices on these two orientations shows the highest reduction of cooling load and the lowest increment of lighting load. An existing building was able to save approximately 7.05% annual energy consumption by applying the shading device strategies that were suggested by this study.

The shading device strategies of this study can be incorporated into the Bangladesh National Building Code (BNBC) as new energy-efficient building design strategies because the BNBC does not have any codes or regulations regarding energy-efficient shading device. It can also be used as energy-efficient shading device strategies to other Southeast Asian countries with similar climatic contexts of Bangladesh.

Data envelopment analysis (DEA) calculates the efficiency of a business unit if all the inputs are creating outputs within a “black box.” Under traditional DEA, the detailed process of that business unit is ignored. However, a network DEA can explain the black box structure and provide efficiency results for sub-sections within any business process. This study aims to propose a network DEA model that explains a bank's total operation.

Earlier studies have focused only on bank efficiency ignoring this breakdown. This study departs from them by using a slack-based two-stage network DEA under a novel banking business perspective.

The results reveal that network DEA provides better benchmarking insights than the traditional DEA. As such, better benchmarking can guide both the banking industry managers and policy makers in Bangladesh.

The major contribution of this study includes dividing a bank's total operation efficiency into two sub-operations: “core operations – collecting deposits and giving loans” and “additional operations – fees, commissions and other services.”

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.

This study investigates the impact and economic viability of energy-efficient building envelope and orientation for contributing net zero energy building (NZEB) and suggests optimum thermal insulation thickness, optimum wall thickness, appropriate orientation and glazing types of window in the contexts of unique Bangladeshi subtropical monsoon climate.

The whole study was conducted through energy simulation perspective of an existing office building using building information modeling (BIM) and building energy modeling (BEM) tools which are Autodesk Revit 2017, Autodesk Green Building Studio (GBS) and eQUEST. Numerous simulation patterns were created for energy simulation considering building envelope parameters and orientations. A comprehensive data analysis of simulation results was conducted to sort out efficient passive design strategies.

The optimum thermal mass and thermal insulation thickness are 6.5 and 0.5 inches, respectively, considering energy performance and economic viability. This study highly recommends that a building should be designed with a small window-to-wall ratio in the south and west face. The window should be constructed with double glazing Low-E materials to reduce solar heat gain. The studied building saves 9.14% annual energy consumption by incorporating the suggested passive design strategies of this study.

The output of this work can add some new energy-efficient design strategies to Bangladesh National Building Code (BNBC) because BNBC has not suggested any codes or regulations regarding energy-efficient passive design strategies. It will also be useful to designers of Bangladesh and other countries with similar subtropical climatic contexts which are located in Southeast Asia and Northern Hemisphere of Earth.