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This paper aims to introduce a systematic computing and analytical procedure that is applied to the co-author network to identify the temporal evolution and growth of research collaborations in the area of e-governance. The empirical analysis of the temporal co-author network can trace the emerging authors and knowledge bursts over time.

The study applied social network theory to trace the author collaboration patterns in the domain of e-governance. Analysis of the co-author network using micro and macro parameters was done to trace the temporal evolution of the author collaborations.

E-governance is a multi-disciplinary research domain split over streams of management, politics, information technology and electronics. Hence, research collaborations play a significant role in its advancement. The knowledge sharing between individual authors, institutions and groups through research collaborations, resulting in extensive sharing of data, equipment and research methods, has boosted research activities and development in e-governance. In this paper, the authors systematically analyse the current scenario of research collaborations in the area of e-governance using co-author network to estimate its impact on the advancement of the field. The authors also analysed the temporal evolution of the co-author networks, which show remarkable growth of research collaborations in the domain of e-governance from the year 2000.

The co-author network analysis is only a proxy measure for the analysis of research collaborations. The names of the authors and the university affiliations used in the article are as retrieved from the research repository of Scopus. The degree, citations and other parameters related with authors have scope only within the environment of the co-author network used in the analysis. The criteria used in the study is limited to the degree of research collaborations and the number of co-authored publications in the giant component of the co-author network.

Institutions, authors and governments can trace and select suitable topics and choose research groups of co-authors over the world for future research collaborations in e-governance. The knowledge about the emerging and most discussed topics gives an overview of the global research trends of e-governance.

The study identified the evolution of creative collaborations in e-governance in the global perspective. The methodology introduced here is helpful to detect the proficient and productive author collaborations and the spectrum of related e-governance research topics associated with them. As the author collaborations can be mapped to the institutional and country-level collaborations, the information is helpful for researchers, institutions and governments to establish the best collaborations in e-governance research based on the author proficiency, collaboration patterns and research topics as per the requirements.

The paper introduces a novel research methodology using temporal analysis of co-author network to identify the evolution of research patterns and the associated research topics.

This study uses a bibliometric approach to analyze the overall status of e-government research by revealing patterns and trends that would help gain a broad understanding of global developments in the field and future directions.

All documents related to e-government published from 2000 to 2019 were extracted from the Scopus and the Digital Government Reference Library databases. Bibexcel, Biblioshiny, and VOSviewer were used to perform the analyses and visualize the science mapping.

The results showed that 21,320 documents related to e-government research were published and cited 263,179 times. The annual growth rate of e-government research has reached 21.50%. The regression analysis showed that the growth rate is expected to increase gradually over the coming years. Despite the significant role that conference papers play in the e-government literature, the impact of articles far exceeds conference papers. The University of Albany (SUNY) has played an important role in e-government research in terms of production and impact. Furthermore, the study revealed some countries that are expected to play a prominent role in e-government research, as well as several topics that may attract more attention soon.

The results presented in this study and the comprehensive picture obtained about the e-government field make it an effective supplement to the expert evaluation. Thus, researchers, research managers, policymakers, institutions, funding agencies, and governments can rely on it.

The evolution of technology has become the mainstream of the current technological innovation era. Technological change is organized in its unique pattern and a new approach that takes place in a systematic and selective manner. Such change is generally molded with the amalgamation of various factors, namely, economic, social or scientific and technological. This paper aims to focus on identifying technological trajectories in a technological ecosystem with the case of m-payment technology.

This study constructs a patent citation network for mobile payment service technology through patent citation data and identifies the main evolution process using the main path analysis of the network. The scope of this study focuses on key innovation using social network analysis and patent citation network, validated using the case of a mobile payment system and analyzing its technological trajectory.

Analyzing technology evolution provides a greater insight of the overall technology landscape to the researcher and practitioner. Analyzing the m-payment technology landscape gives three main categories of m-payment systems: the mobile financial transaction system), the payee mobile device payment selection system and e-wallet services.

The novelty of this research lies in the process of identifying technological evolution using social network and patent citation network analysis. The case of m-payment technology ecosystem is studied quantitatively which is not explored by previous researchers. This research provides a way to develop the main path technology of innovative products or services to identify technology evolution using the case of m-payment landscape.

Self-efficacy is one's belief in one's ability. In this context, information and communication technology (ICT) self-efficacy is the judgment of one's capability to use ICT – the familiar and effective teaching tools for the 21st century classrooms. The purpose of this empirical study was to investigate the correlation between teachers' ICT self-efficacy and perceived ICT infrastructure in school.

The study employed a descriptive survey method within ex post facto research design by taking 100 purposively selected Indian government run secondary schools and 400 teachers as participants. The data were analyzed descriptively and inferentially. A correlation analysis was conducted between teachers' ICT self-efficacy and their perception of ICT infrastructure to determine the relationship between the two.

Findings revealed that the participant teachers' overall ICT self-efficacy along with its three domains – technological efficacy, pedagogical efficacy, integration efficacy – was moderately low and their perception of ICT infrastructure in their respective schools was also far below the expected level. The investigation finally found a moderately high and positive correlation between teachers' ICT self-efficacy and their overall perception of ICT infrastructure. All three domains of efficacy also found positively correlated with the three selected domains of ICT infrastructure.

This paper reports an original empirical survey conducted in India and the write-up is based strictly on the survey findings only. The authors believe this is a new approach to view ICT integration in school pedagogy and recommendations that enhanced teacher efficacy accelerates strengthening ICT infrastructure, improving apposite culture and understanding of the pedagogical value of ICT integrated teaching.

Coronavirus disease 2019 (COVID-19) pandemic has led education institutions to move all face-to-face (F2F) courses online across the globe. The purpose of this study was to investigate Indian students’ perception of readiness for this sudden shift and at the same time, report a possible approach of good institutional governance to respond to such an unprecedented crisis.

This study followed a mixed approach combining both quantitative (e.g. survey) and qualitative (e.g. interview) methods. A survey was distributed among 100 purposively selected students out of which 50 were college students and 50 were from secondary schools following heterogeneous purposive sampling techniques. In total, 30 participants were interviewed as per a set interview protocol. Data were analyzed descriptively and inferentially based on several demographic differences.

Findings revealed that students were neither satisfied nor ready for this sudden shift toward online education rather they felt fear, uncertainties, and several challenges owing to a deep digital divide to adapt to this unprecedented shift. They were found absorbed in memories of F2F mode before the COVID outbreak and take this online shift as a temporary adjustment owing to respond to the pandemic finding no possible alternate.

This study contributes and extends corporate governance literature by offering new evidence of perception differences between the company and customers as well. Education providers often assume that students desire online courses for their convenience and believe it equivalent to or better than F2F courses. This study challenges these managerial perceptions by examining students’ studies empirically and the findings will help regulators and policymakers to change accordingly.

This research aims to investigate the impact of the collaborative governance mechanism on the implementation of rural governance information systems in developing countries. By integrating institutional logic theory, affordance theory and social identity theory, the authors propose modeling grassroots officials' affordance perception process and exploring the importance of multi-identities’ information technology (IT) goals in affordance perception.

Through an exploratory case study, the authors identified three affordances of rural governance information systems and investigated the mechanisms influencing the perception of these affordances among grassroots officials. Next, the authors established a research model and collected 490 valid questionnaires from grassroots officials in China and analyzed the data using structural equation modeling (SEM).

The authors' study challenges previous assumptions by integrating institutional logic, affordance and social identity theories. The authors establish a perceived affordance path for rural governance information systems, recognize substitute effects among technological affordances and extend the theory to explain social factors influencing IT perception. The authors' findings suggest providing technical training for grassroots officials to enhance IT capabilities, and governments should prioritize essential functionalities in rural governance information systems to optimize resources. Training on collaborative governance mechanisms can improve IT affordance perception, enhancing digital platform utilization in governance processes.

The study was conducted mainly in China, and therefore, the findings may not be universal to other developing countries. Researchers are therefore encouraged to test the proposal in locations with different rural cultures.

The paper includes implications for the development of IT perception in rural governance, the development of affordance perception theory and studying the relationship between IT goals and affordance perception.

Overall, this paper addresses the need to understand how grassroots officials perceive IT affordances in rural governance and study the relationship between multi-identities’ goals and affordance perception.

The coronavirus (COVID-19) pandemic led education institutions to move all face-to-face (F2F) courses online. The situation is unique in that teachers and students can make a direct comparison of their courses before (F2F) and after COVID-19 (online). This study aims to analyze teachers’ viewpoints for this unprecedented change.

The study followed a mixed-method approach within an ex post facto survey research design. Research tools were distributed among 200 Indian secondary school teachers following a heterogeneous purposive sampling technique. As the study was conducted during the pandemic backdrop researchers used Google forms and telephonic interviews to collect data.

Teachers viewed positively to this shift from F2F to online teaching-learning (OTL). They were found to have an overall moderate level of online teaching efficacy and where good efficacy prevails there found minimal concern for infrastructure, an attitude showing least concern for “what is not” and more concerned with “what they can do with what is having.” A statistically significant effect of teacher efficacy was found on their perception of OTL infrastructure that supports this strong conviction among few teachers. Statistical analysis revealed for every 1 standard unit increase in self-efficacy, the perceived OTL infrastructure was to be increased by 0.997 standard units which support the strong correlation between the two chosen cognitive variables (r = 0.8). Besides, teachers were not found as a homogeneous group concerning their reported readiness for online teaching yet, different subgroups of teachers exist which may require different approaches for support and counseling.

The paper reports an original empirical survey conducted in India and the write-up is based strictly on the survey findings only. An exclusive analysis of teachers’ views of their efficacy and perceived OTL infrastructure. At the same time, path-breaking in analyzing the chemistry between the two variables which will help improving apposite culture, practice and understanding of the digital pedagogy securing quality OTL in the long run.

This study focuses on understanding how channel features can affect people's intention to continue to use an electronic channel in public affairs and their recommendation behaviors. Specifically, three different channels are focused on: email, microblogs and online meetings.

A research model on an e-participation channel based on the channel-disposition framework was developed and an online survey was conducted to collect data from 397 individuals who used three e-participation channels to validate seven hypotheses.

The study found that information quality, channel interaction quality and the social appearance of other citizens all had a significant impact on users' intention to continue to use an electronic channel, which, in turn, affected their recommendation behaviors. However, the impact differed across the three e-participation channels. Information quality had a stronger impact on microblog and online meeting users' intention to continue to use these channels than on email users' intention to continue using email to participate in public affairs. Channel interaction quality had a stronger impact on email users' intention to continue to use email than on microblog and online meeting users' intention to continue to use these channels in public affairs.

This study helps better explain how various channels and their features can affect participants' use intentions and behaviors in e-participation. It also provides practical guidance for government to better manage e-participation channels and effectively engage citizens in public affairs.

This study aims to propose a research framework grounded in the technology acceptance model (TAM) to assess the new service experiences in the medical industry through examining the intention to use online-to-offline (O2O) medical platforms. It focuses on the connections between immediacy of connection, context-based affordability, reliability and perceived convenience and perceived usefulness. This study also looks at how these determinants affect users’ intentions to use O2O medical platforms, with a particular emphasis on the moderating effect of customer online reviews.

This study was a quantitative research endeavour grounded in the TAM model that analysed usage intention of O2O medical platforms. Conducted in Sarawak, within the Borneo region, a total of 251 rows of data were collected by questionnaire and underwent initial analysis using SPSS, followed by a more in-depth two-stage partial least squares structural equation model analysis conducted with SmartPLS4.

According to this study’s findings, perceived usefulness and perceived convenience are significantly impacted by the proposed predictors – immediacy of connection, context-based affordability and reliability. Furthermore, intention to use O2O medical platforms was discovered to have a positive and significant impact from perceived usefulness and perceived convenience. It is noteworthy that the association among perceived convenience and perceived usefulness – which leads to usage intention of O2O medical platforms – did not show the moderating effect of customer online reviews.

The findings suggested that context-based affordability, immediacy of connection and reliability need to be focused on by the information and communication technology developers, policymakers and medical professionals, as these variables can influence perceived convenience and usefulness, which will further impact the intention to use O2O medical platforms.

The formulated research framework holds significance in comprehending the usage intention of O2O medical platforms among consumers in Sarawak. O2O medical platforms have experienced global growth; however, limited studies were found in the Malaysian context. Hence, the objective of this study is to examine the intention to use O2O medical platforms in a relatively understudied area, specifically in Sarawak, an island located in Borneo, Malaysia.