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The current coronavirus disease 2019 (COVID-19) pandemic has caused significant strain on medical centers resources. Thus, concerns about the reducing and management of COVID-19 are on the rise, as there is need to provide diagnosis, treatment, monitoring, and follow-ups during the pandemic. Therefore, the COVID-19 pandemic has radically and quickly altered how medical practitioners provide care to patients. Medical centers are now responding to COVID-19 through rapid adoption of digital tools and technologies such as telemedicine and virtual care which refer to the delivery of healthcare services digital or at a distance using Information and Communications Technology (ICT) for treatment of patients. Telemedicine is expected to deliver timely care while minimizing exposure to protect medical practitioners and patients. Accordingly, a rapid literature review was conducted, and 35 research studies published from 2019 to May 2020 were employed to provide theoretical and practical evidence on the significance of using telemedicine and virtual care for remote treatment of patients during the COVID-19 pandemic. This article provides practical guide based on how to use telemedicine and virtual care during the COVID-19 pandemic. This study provides implication on the potentials of consolidating virtual care solutions in the near future towards contributing to integrate digital technologies into healthcare.

PurposeThe purpose of this paper is to develop an eccentric model to examine the factors that influence environmental performance in organizations based on belief–action–outcome framework and natural resource-based view theory.Design/methodology/approachData were collected by employing online survey from respondents in organizations to statistically test the eccentric model and its associated hypotheses. Partial least squares–structural equation modeling and Statistical Package for Social Sciences were utilized to analyze the survey data.FindingsThe results show that information technology (IT) professionals and IT executives’ behavior positively influences environmental performance. Further results suggest that the belief of IT professionals and IT executives is significantly influenced by the action of IT infrastructure, institutional pressure, organizational strategy and information diffusion. In addition, results reveal that the action of IT infrastructure, institutional pressure, organizational strategy and information diffusion in organizations significantly has an impact on the outcome of environmental performance. Moreover, results indicate that green information systems (IS) for pollution prevention, product stewardship and clean development initiatives adopted positively influence the environmental performance of organizations.Research limitations/implicationsThe developed eccentric model further shows how green IS practice integration can improve environmental performance. However, the selected respondents are from a single country as such findings from this study cannot be generalized to other countries.Practical implicationsPractically, this paper has implications for the capability of IS to promote environmental performance in organizations.Social implicationsThis study provides a pertinent contribution in developing and validating an eccentric model for green IS adoption. Besides, a survey instrument is developed that can be used by future studies.Originality/valueThe developed model helps to explore the factors that influence environmental performance and also the outcomes of green IS adoption for environmental performance. Accordingly, IT professionals and IT executives can draw upon the eccentric model in assessing their current environmental-friendly practice for the effective initialization of green IS for corporate value.

PurposeBecause of the use of digital technologies in smart cities, municipalities are increasingly facing issues related to urban data management and are seeking ways to exploit these huge amounts of data for the actualization of data driven services. However, only few studies discuss challenges related to data driven strategies in smart cities. Accordingly, the purpose of this study is to present data driven approaches (architecture and model), for urban data management needed to improve smart city planning and design. The developed approaches depict how data can underpin sustainable urban development.Design/methodology/approachDesign science research is adopted following a qualitative method to evaluate the architecture developed based on top-level design using a case data from workshops and interviews with experts involved in a smart city project.FindingsThe findings of this study from the evaluations indicate that the identified enablers are useful to support data driven services in smart cities and the developed architecture can be used to promote urban data management. More importantly, findings from this study provide guidelines to municipalities to improve data driven services for smart city planning and design.Research limitations/implicationsFeedback as qualitative data from practitioners provided evidence on how data driven strategies can be achieved in smart cities. However, the model is not validated. Hence, quantitative data is needed to further validate the enablers that influence data driven services in smart city planning and design.Practical implicationsFindings from this study offer practical insights and real-life evidence to define data driven enablers in smart cities and suggest research propositions for future studies. Additionally, this study develops a real conceptualization of data driven method for municipalities to foster open data and digital service innovation for smart city development.Social implicationsThe main findings of this study suggest that data governance, interoperability, data security and risk assessment influence data driven services in smart cities. This study derives propositions based on the developed model that identifies enablers for actualization of data driven services for smart cities planning and design.Originality/valueThis study explores the enablers of data driven strategies in smart city and further developed an architecture and model that can be adopted by municipalities to structure their urban data initiatives for improving data driven services to make cities smarter. The developed model supports municipalities to manage data used from different sources to support the design of data driven services provided by different enterprises that collaborate in urban environment.

With the gradual shift towards the use of electric vehicles (EV), electricity demand is expected to increase especially in energy communities. Therefore, it is important to investigate how energy is generated as the provenance of electricity supply is directly linked to climate change. There are only a few studies that investigated the internet of energy and energy provenance, but this area of research is important to prevent the rebound effect of CO2 emission due to the lack of a transparent approach that verifies the source of electricity consumed for charging EVs. The energy system is a complex network, which results in difficulty verifying the source of electricity as related to the generation of energy. Identifying the provenance of electricity is challenging since electricity is a non-physical element. Moreover, the volatility of a Renewable Energy Source (RES), such as solar and wind power farms, in relation to the complex electricity distribution system makes tracking and tracing challenging. Disruptive technologies, such as Distributed Ledger Technologies (DLT), have been previously adopted to trace the end-to-end stages of products. Likewise, artificial intelligence (AI) can be adopted for the optimization, control, dispatching, and management of energy systems. Therefore, this study develops a decentralized intelligent framework enabled by AI-based DLT and smart contracts deployed to accelerate the development of the internet of energy towards energy provenance in energy communities. The framework supports the tracing and tracking of RES type and source consumed for charging EVs. Findings from this study will help to accelerate the production, trading, distribution, sharing, and consumption of RES in energy communities.

The aim of this study is to integrate knowledge mapping technique by applying information flow analysis to facilitate the collaboration between the university and its alumni by developing a knowledge mapping-based system based on a designed knowledge mapping model. Questionnaire was employed to collect data from respondents in a university to evaluate the applicability of the developed system. The collected data was further analyzed using Statistical Package for Social Sciences (SPSS). Descriptive and exploratory factor analysis was carried out to analyze the collected data by deploying test of normality, reliability, validity, and factor analysis. Results from descriptive analysis reveal that the developed system is applicable in facilitating alumni collaboration. Besides, results indicate that the developed system provides holistic and comprehensive knowledge support among alumni members to improve communication. Moreover, this study offers a methodological and comprehensive procedure to support interaction and provides information to alumni members. Theoretically, this study depicts how the designed knowledge mapping model defines, organizes, and develops procedural knowledge in order to explore and address communication inadequacy among alumni members. Practically, this study utilized knowledge mapping as a technique to visualize the source and flow of tacit and explicit knowledge for university alumni collaboration.

Distributed Ledger technology (DLT) has recently emerged as a disruptive system with a wide range of applicability, with prospect to improve societal interactions at large. In virtual enterprise (VE) context researchers and practitioners have started to investigate the deployment of DLT to automate the processing of data and implementation of decisions to support the provision of digital services. Although academic interest in this domain is growing, a practical analysis of DLT from a governance perspective is still lacking to date. Accordingly, this study aims to fill this gap and provide implications related to decentralized governance of DLT. This article develops an architectural governance-by-design framework that defines the governance of DLT as a combination of architectural layers and governance of DLT dimensions. Design science is employed, and IOTA tangle an open-source DLT which employs a decentralized asynchronous network is deployed to evaluate the applicability of the developed architectural governance-by-design framework through qualitative interviews and literature inquiry. The findings confirm the developed architectural governance-by-design framework and offer a shared discussion and insight surrounding the topic of governance of DLT. The findings also identify limitations associated with governance of DLT solutions and proposes policy recommendations to be used as guidelines for practitioners to improve the adoption of DLT to accelerate VE digitalization.

As the years progresses, higher education has move towards implementing Blended Learning (BL) which is a combination of face-to-face and online mode of teaching and learning which have continued to advance in institutions all over the world. Accordingly, it is important to investigate the factors that may influence lecturers’ perception towards BL approaches. Likewise, there are fewer studies that explored BL in lecturers’ perspective. Therefore, this study proposed a framework based on Model of Personal Computer Utilization (MPCU) theory to examine the factors that influence lecturers’ perception of BL to improve teaching quality in higher education. A total of 413 lecturers across universities, colleges, and polytechnics responded to an online survey questionnaire. Statistical Package for Social Science and Partial Least Square-Structural Equation Modelling was utilized for data analysis. The results suggest that social factors affect towards use, complexity, job fit, long term consequences, facilitating conditions, and Information Technology (IT) experience significantly influences lecturers’ perception towards using BL initiatives to improve academic activities in higher education. Findings from this article support institutions in developing an understanding of the factors that can be considered to improve teaching design, as well as in improving IT for teaching and learning purposes.

PurposeThis study aims to explore the current Green practices implemented in Malaysia higher education institutions toward sustainability attainment by developing a multi-disciplinary comprehensive policy framework to further extend the collaboration among sustainability practitioners in providing integrated data on Green indicators linked to economic, social and environmental dimensions of sustainability in higher education institutions.Design/methodology/approachPrimary data which comprises of sustainability archival documents from sixteen universities in Malaysia was used to explore the extent of Green practice for sustainability. In addition, this study also used secondary data from existing literature on sustainable development in Malaysia higher education institutional context.FindingsFindings from the examined 16 universities and prior sustainability studies in Malaysia universities suggest that higher education institutions in Malaysia are presently implementing Green practices in their university campuses toward attaining sustainability.Research limitations/implicationsQualitative data is only collected from higher education institutions in Malaysia. Hence, findings from this study cannot be generalized to universities in other countries.Practical implicationsThis study provides insights toward infusing Green campus paradigms from a technological perspective to facilitate the exchange of information between sustainability practitioners to produce innovative solutions for addressing sustainability challenges.Social implicationsThis research developed a policy framework that provides trans-disciplinary approach to be adopted by higher education institutions in Malaysia and further beyond toward attaining sustainability. Socially, this study provides Green indicators that act as a reference manual and road map toward sustainable development in higher education institutions.Originality/valueA novel multi-disciplinary comprehensive policy framework is developed grounded on identified Green indicators integrated to provide information on how sustainability practitioners can implement Green practices paradigms across universities. Furthermore, the Green indicators can be used as metrics to provide data for Green practice measurement and monitoring in higher education institutions.

PurposeDisasters and pandemics pose challenges to health-care provision. Accordingly, the need for adopting innovative approach is required in providing care to patient. Therefore, the purpose of this study is to present telehealth as an innovative approach for providing care to patients and reducing spread of the infection and advocates for the adoption of telehealth for digitalized treatment of patients.Design/methodology/approachAn integrative review methodology of existing evidence was conducted to provide implications for integration of telehealth for digitalized treatment of patients. This paper draws on Technology Organization Environment (TOE) framework to develop a model and propositions to investigate the factors that influence telehealth adoption from the perspective of the supply side and the demand side of medical services.FindingsFindings from this study discuss applications adopted for telehealth and recommendations on how telehealth can be adopted for medical-care delivery. More importantly, the findings and propositions of this study can act as a roadmap to potential research opportunities within and beyond the pandemic. In addition, findings from this study help provide guidelines on how health practitioners can rapidly integrate telehealth into practice for public health emergencies.Originality/valueThis study identifies the social, technological and organizational factors that influence telehealth adoption, and opportunities of adopting telehealth during the public health emergencies. This study concludes that specific policy changes to improve integration of interoperable solutions; data security; better physical infrastructures; broadband access; better transition and workflow balance; availability of funding and remuneration; regulations and reimbursement; awareness; and training will improve telehealth adoption during public health emergencies.

Technological innovations such as blended learning (BL) are rapidly changing teaching and learning in higher education, where BL integrates face to face teaching with web based learning. Thus, as polices related to BL increases, it is required to explore the theoretical foundation of BL studies and how BL were adopted and implemented in relation to students, lecturers and administration. However, only fewer studies have focused on exploring the constructs and factors related to BL adoption by considering the students, lecturers and administration concurrently. Likewise, prior research neglects to explore what practices are involved for BL implementation. Accordingly, this study systematically reviews, synthesizes, and provides meta-analysis of 94 BL research articles published from 2004 to 2020 to present the theoretical foundation of BL adoption and implementation in higher education. The main findings of this study present the constructs and factors that influence students, lecturers and administration towards adopting BL in higher education. Moreover, findings suggest that the BL practices to be implemented comprises of face-to-face, activities, information, resources, assessment, and feedback for students and technology, pedagogy, content, and knowledge for lecturers. Besides, the review reveals that the ad hoc, technology acceptance model, information system success model, the unified theory of acceptance and use of technology, and lastly diffusion of innovations theories are the mostly employed theories employed by prior studies to explore BL adoption. Findings from this study has implications for student, lecturers and administrators by providing insights into the theoretical foundation of BL adoption and implementation in higher education.