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Due to the eruption of the COVID-19 pandemic, many universities were forced to shift from the traditional learning practices to digital learning. Hence, the purpose of this study is to evaluate the factors that affect the university student's adoption of mobile technologies for mobile learning (m-learning) in their learning process.

Technology acceptance model (TAM) is incorporated to study the adoption of mobile learning by university students. Quantitative research technique is used as core research approach in this study. Structural equation modelling (SEM), which is a part of quantitative research method, was employed on the congregated data via a set of questionnaire from 268 University students. SEM is used to explore the relationships among the hypothesized constructs. SPSS and AMOS software were used for the analysis of data.

This study validated the updated TAM model and assessed the students' adoption of mobile technologies for m-learning during COVID-19. All the constructs of proposed model were found to be significant with more than 50% average variance extracted. It was found that two external constructs mobile system efficacy and mobile service efficacy appended in technology acceptance model show the direct positive effect on perceived usefulness and perceived ease of use constructs. However, hypothesized relationships were found to be unsupported among perceived usefulness and perceived ease of use. Furthermore, perceived usefulness and ease of use during m-learning impact the students' usage attitude which consequently impact the students' adoption behaviour towards adoption of mobile technology.

Six constructs were considered for this study; however, mobile information quality for mobile learning was not included which could affect students' adoption criteria. Additionally, this study is limited to a country where future study needs validation of propose constructs in different demographic settings.

No study allied to the students' adoption of mobile technology for m-learning has accomplished in the context of India during COVID-19. Furthermore, TAM model has been updated with regard to the students' adoption of mobile learning during COVID-19 in Indian higher education setting.

The main purpose of this research study is to investigate and examine the factors that might influence the intention to adopt and use mobile payment and their relationships during the COVID-19 pandemic.

This research study used both mobile payment adoption literature, The Technology Adoption Model and Unified Theory of Acceptance and Use of Technology, to propose a conceptual framework for mobile payment adoption. Quantitative method is used in which 306 participants responded to an online survey to validate the proposed conceptual framework.

The introduced integrated model embraced perceived risk, transaction transparency, mobile payment usefulness, social influence, performance expectation as independent variables and usage continuation intention to adopt mobile payment as the dependent variable. The results from data analysis have statistically revealed significant relationships and a positive impact of perceived risk, mobile payment usefulness, social influence and performance expectation. Also, the results identified a negative impact for the transaction transparency factor. As this research study is conducted at a later stage of the COVID-19 pandemic, it adds value to the existing literature by providing insights to business managers on the factors influencing mobile payment usage and other implications related to increasing the market potential for businesses in the new normality of the coronavirus pandemic.

This paper offers a combination conceptual framework of mobile payment adoption based on a literature review on mobile payment adoption from information systems perspective. It adapts integrated model to establish a more comprehensive innovation adoption framework for mobile payment.

The purpose of this study was to examine the influence of digital government innovation on transformational government. Digital government innovation is ordinarily implemented as means for the creation of public value. However, realisation of benefits from the digital government platforms has proved to be a challenge, and great discrepancy has been observed in the extent of public value generated, pointing to lack of innovativeness in resource-constrained environments. This research investigates the influence of digital government ambidexterity as an innovation strategy in enhancing transformational government (T-Gov). The authors develop hypotheses relating to digital government ambidexterity with two factors of innovation for enhancing T-Gov: exploitation incremental digital innovation and exploration radical digital innovation.

The hypotheses are tested using a sample size of 690 citizens interacting through digital government platforms. The authors identify exploitation incremental digital innovation and exploration radical digital innovation as factors, and how these factors of digital government ambidexterity influence information quality for public value creation. The success of T-Gov is associated to the implementation of digital government policy which moderate the relationship between digital government ambidexterity and information quality.

The empirical outcomes suggest that exploitation incremental digital innovation and exploration radical digital innovation positively influence information quality, thereby leading to public value, and this result become successful if there is implementation of digital government policy. Treating the two factors of digital government innovation as complementary leads to public value creation.

Limited time and funds to conduct a country comparative study. The study only focused on urban municipalities, of which it would be interesting to explore rural municipalities.

Adoption of MunINFORQUAL model for promoting digital government platform utilisation by citizens.

The utilisation of digital government platforms would improve citizens’ lives in a number of ways. For instance, citizen municipal interaction for service delivery and social benefits through instant notifications of developmental projects.

This paper contributes to the research literature on digital government innovation particularly from resource-constrained environments. Also, the study provides new empirical test using a data set of 690 citizens interacting through digital government platforms.