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The purpose of this paper is to present an intelligent mobile based emergency response system (MERS) framework, a text information extraction and aggregation algorithm to integrate information from multiple sources in the MERS system, and an ontology‐supported case‐based reasoning system for the MERS system.

The paper explains the components of information extraction and aggregation process, and a CBR‐Ontology approach for the MERS system.

The result of this study will offer a new opportunity to the interaction between government, citizens, responders, and other non‐government agencies in emergency situations, and therefore improve the services of the government in an emergency situation.

The paper indicates the need for usage of mobile technologies to assist the government to get information and make decisions in responding to disasters anytime and anywhere.

Shifting to mobile-based banking transactions from physical banking transactions can be considered as a social distancing mechanism, which helps to prevent the spread of Covid-19 virus. As the spread of Covid-19 is expected to continue for long, the continued usage of mobile-based payment services as a strategy to maintain social distancing has to prevail. Hence, this study aims to propose an integrated framework of mobile payments adoption and its continuance intention by integrating health belief model (HBM) and expectation confirmation model (ECM) of information system continuance.

The subject of the study constitutes new adopters of mobile payments. A total of 654 respondents participated in the survey. The conceptual model was empirically validated using structural equation modeling and serial mediation analysis.

The study found that the HBM constructs, namely, perceived severity, perceived susceptibility and self-efficacy significantly influenced adoption/confirmation of mobile-based payment services. The continuance intention was significantly predicted by perceived usefulness and perceived satisfaction. Furthermore, the perceived health threat (comprising perceived severity and perceived susceptibility) indirectly affects continuance intention through confirmation, perceived usefulness and satisfaction.

There are short-term and long-term implications for the study. Short-term implications include triggering the HBM at policy levels, to adopt mobile payments/banking as a means of social distancing in the wake of the increasing threat of Covid-19 in India. Long-term implication for service providers is to convert adopters into loyal consumers by enhancing usefulness and satisfaction.

The study proposes a novel attempt to explain the adoption and continuance of mobile-based payment as a preventive health behavior to contain the spread of Covid-19 outbreak. The study proposes an integrated framework of HBM and ECM to explain pre-adoption and post-adoption behavior of consumers with respect to mobile-based payment services during Covid-19 context.

This study makes an integrated approach in identifying the factors affecting usage intention of mobile-based payment services. Such services are being marketed aggressively by cellular service providers and are different from usual mobile-based banking. The study incorporates prominent factors like the technical characteristics, technology-specific characteristics, user-specific characteristics, and task-specific characteristics and others from published literature. The purpose of this paper is to highlight those factors which have significant impact on the adoption of such service so that the adoption rate can be increased.

A nationwide primary survey was conducted using validated questionnaire requesting response for the factors obtained from published literature. In total, 196 respondents participated in the survey. Totally, 11 hypotheses were formulated and statistically tested for their significance in context to the study. Confirmatory study was on the significant factors and a model has been proposed.

The study finds that factors like perceived usefulness, perceived ease of use, system quality, connectivity, discomfort, task-technology fit and structural assurance have significant impact on the usage intention of mobile money services whereas factors such as perceived monetary value, absorptive capacity and personal innovativeness have been found to be insignificant.

There have been no studies conducted which reported mobile-based transfer payment adoption issues where-in the transfer mechanism is independent of formal banking. The findings would be beneficial for service providers of mobile-based payment services to understand their subscribers and roll out value added services.

This paper describes the process of creating a retail ordering application and aims to see how to achieve this through an IDE (integrated development environment) and back-end services for smart cities. The main goals are: allow a user to create an account, allow an admin user to edit or delete an order, create a database of products, test the application and replace the current ordering system, such as a desktop-based application, with a mobile-first approach.

Based on the Scrum method, this paper tries to develop the retail ordering application that can be used on an iOS device, such as an iPhone. Before the application design, the issues related to the software design will be researched and justified.

The proposed application has been created, and the objectives which were proposed have been met in terms of creating a user account and registering it with the database, using this to log in to the application, creating orders by taking the customer and product details and been able to view and edit these through another admin account for smart cities.

For customers, the mobile-based ordering system makes their shopping experience more convenient and easier. For the business, the staff's work can be more efficient, and companies are able to reduce their expenses. For the new software developers, this work demonstrated the process of creating a retail ordering application from scratch.

This work will be of great value to the customers, retail business as well as the new software developers. In order to establish sustainable cities and provide high-quality life to the citizens, the concept of “smart” has been widely used in urban construction. This paper contributes to the smart city area by creating a retail ordering application based on the iOS system.

The purpose of this paper is to make a unified approach in identifying the issues affecting usage intention of mobile-based payment services. The work aims to analyze the reduced factors from data obtained from a survey to highlight the influencers of usage intention mobile-based payment in an integrated manner by incorporating the technical characteristics, technology-specific characteristics, user-specific characteristics and task-specific characteristics.

A nationwide primary survey was conducted using validated questionnaire requesting response for 11 factors obtained from published literature. In all, 196 respondents participated in the survey in India. Valid responses were analyzed using Growing Hierarchical Self-Organizing Map (GHSOM) model. The interactive GHSOM application was applied to automatically determine the filtering rules for clustering.

The hierarchical structure of clusters as obtained by applying GHSOM is mainly influenced by factors like innovativeness, discomfort, system quality, perceived usefulness, perceived ease of use, task-fit, connectivity, absorptive capacity and structural assurance.

Increasing trend of online and mobile-based payment has been observed and reported by several studies in India. The frequency of online transactions by women have shown a steady increase over a short period of time. But the survey obtained higher percentage of data from males. Thus future researchers could focus on this aspect to study the influence of this rising trend on adoption of services like mobile-based payment. Trust and existence of physical institutions seem to affect the perception and usage intention. Future researchers may explore the influence of these two issues in situations where there has been some reported cases of breach of trust.

There has been very few studies conducted which reported mobile-based transfer payment adoption issues where-in the transfer mechanism is independent of formal banking. Also no other study adopted the GHSOM approach to analyze the data. The findings would be beneficial for service providers of mobile-based payment services to understand their subscribers and roll out value-added services.

The purpose of this paper is to explore the impact of selected factors in adopting mobile-based online payment platforms (MOPP) in three Asian countries: China, India and Bangladesh through the application of Technology Acceptance Model (TAM). The factors considered were: perceived trust (PT), perceived risk (PR), social influence (SI), perceived ease of use (PEU) and perceived usefulness (PU).

The authors purposively selected 1,289 individuals from those three countries who regularly use MOPP as the medium of monetary transactions. The authors utilized SPSS 24 for descriptive statistics and structural equation modeling (SEM) technique through AMOS 24 for testing the hypothesized relationships.

The authors found that four factors: PT, SI, PEU and PU have significant positive impact on the intention to adopt MOPP whereas PR has insignificant negative impact on the intention to adopt MOPP.

As per the authors' knowledge, this is the first study ever conducted to identify the factors impacting the adoption of MOPP in more than one country. Such an exploratory study can inspire the scholars to initiate further investigations as well as the service providers to extend their service effectiveness according to the users' opinion.

The latest mobile technology may shape consumers' motivations by allowing them to order a variety of foods using smartphone apps. Following the stimulus–organism–response (SOR) framework and using a mixed methods approach, this study investigates the impacts of different components of mobile dining on customers' perceived value, which leads to actual purchase intentions. Furthermore, this study examines the moderating effect of the restaurant type.

Data were collected via an online questionnaire survey from 351 individuals in the city of Jakarta (Indonesia) who actually used mobile apps to order food online. Data analysis was carried out using structural equation modeling.

The findings reveal that source credibility, review valence, the navigation system, food quality and service quality significantly impact customers' perceived value. Customers' perceived value, in turn, positively affects their purchase intentions. The findings also reveal that the impacts of review valence, the navigation system, food quality and service quality on customers' perceived value depend on the different levels of restaurants.

This study is among the first in the mobile commerce research that studies the impacts of mobile electronic word-of-mouth (eWOM), system quality and overall restaurant image on dining choices by considering actual mobile shoppers. Second, this study extends the SOR model to examine the impact of the mobile environment-based characteristics on the perceived value that leads to purchase intentions. Third, the current study examines whether the relationships that are discussed early on differ based on the restaurant type. The findings of this study could help practitioners achieve a deeper understanding of diners' behaviors due to the perceived benefits of mobile dining.

The purpose of this paper is to discuss how to integrate secure, open‐source and mobile‐based system with the Moodle learning management system (MLMS) then describe the implementation of a campus‐wide mobile learning environment with short messaging system (SMS) and how this platform is incorporated with the student's learning environment.

This paper discusses how existing mobile‐based systems are currently being used for academic activities and describes current research within the same area. Then, the paper gives the detailed design of secure, open‐source and Moodle integrated mobile learning environment that facilitates sending short messages via an SMS gateway.

Statistical analysis of results during a campus‐wide implementation of the system revealed students’ preference in studying with a group while using mobile technologies for academic activities.

With the advent of mobile technology, integrating an open‐source secure mobile learning environment, coupled with a short message service, into a learning management system (LMS) has been a challenging task in mobile learning platforms during the past few years. Hence, this research project presents a significant importance for both students and teachers by proposing a campus‐wide mobile learning environment with open source software providing unlimited usage.

The purpose of this study is to develop a conceptual framework which takes into account the perceived risk (PR) and the perceived benefits (PB) of using mobile payment systems (MPS) in the context of COVID-19 pandemic.

The study proposes a conceptual framework incorporating the uncertainties/risks associated with MPS like perceived technology uncertainty (PTU), perceived regulatory uncertainty (PRU), perceived service intangibility (PSI) and perceived information asymmetry (PIA), along with the benefits of using MPS such as trust, mobility, health consciousness (HC) and fear of Coronavirus (FOC). A survey comprising 1,253 participants was conducted in India. The proposed model was empirically examined through partial least square structural equation modelling.

The outcomes of the study revealed a significant positive influence of PTU, PRU, PIA and PSI on PR. On the other hand, HC and FOC were identified as the major antecedents having a significant positive influence on PB. Both PR and PB had a significant influence on the intention to adopt MPS, but the influence of PB was greater than the influence of PR.

The enablers and inhibitors play a crucial role in understanding the intention to adopt MPS. HC and fear of acquiring Coronavirus can be aggressively marketed by the government and service providers as a strategy to maintain social distancing. Government should address the regulatory concerns associated with the usage of MPS so as to alleviate any negative perception among the general public.

The current study is a novel attempt to understand the intention to adopt MPS in India as precautionary health behaviour to curb the transmission of Coronavirus pandemic. The study uses two constructs, HC and FOC, to better understand the behaviour of the people and explain the intention to adopt MPS during the COVID-19 pandemic.

Property management companies in residential properties are increasingly using ICT and specific property management software applications to conduct daily property management tasks. However, the benefits of using specific software applications and how it can add value to property management companies are largely unexplored. The present study examines the impact of property management mobile applications usage features on strata property residents' satisfaction in Kuala Lumpur.

A total of 205 residents from 3 strata residential buildings in Kuala Lumpur using property management applications were surveyed. The study employed structural equation modelling using SPSS Amos software.

The findings suggest that visitor management and security management via software applications positively influence the residents' satisfaction. However, facility management via software application was found to be negatively affecting residents' satisfaction.

The study highlighted the benefit of property managers adopting property management software to achieve increased residents' satisfaction in strata residential properties.