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We investigated the association of COVID-19 indicators and economic uncertainty indices on payment-based system cryptocurrency (i.e. Bitcoin, Ripple and Dogecoin) returns.

We used an autoregressive distributed lag (ARDL) model for panel data and performed robustness checks by utilizing a random effect model (REM) and generalized method of moments (GMM). There are 25 most adopted cryptocurrency’s countries and the data spans from 22 March 2021 to 6 May 2022.

This research discovered four findings: (1) the index of COVID-19 vaccine confidence (VCI) recovers the economic and Bitcoin has become more attractive, causing investors to shift their investment from Dogecoin to Bitcoin. However, the VCI was revealed to be insignificant to Ripple; (2) during uncertain times, Bitcoin could perform as a diversifier, while Ripple could behave as a diversifier, safe haven or hedge. Meanwhile, the movement of Dogecoin prices tended to be influenced by public figures’ actions; (3) public opinion on Twitter and government policy changes regarding COVID-19 and economy had a crucial role in investment decision making; and (4) the COVID-19 variants revealed insignificant results to payment-based system cryptocurrency returns.

This study contributed to verifying the vaccine confidence index effect on payment-based system cryptocurrency returns. Also, we further investigated the uncertainty indicators impacting on cryptocurrency returns during the COVID-19 pandemic. Lastly, we utilized the COVID-19 variants as a cryptocurrency returns’ new determinant.

This paper aims to study the anti-diabetes activity of the Kombucha prepared from different snake fruit cultivars.

The juices of snake fruits of Suwaru, Madura, Pondoh and Bali cultivars were fermented for 14 days. Anti-diabetes activity of the products was analyzed. Twenty-four male albino Wistar rats were used and randomly divided into six experimental groups, i.e. four groups of the diabetic rats treated with the Kombucha, plus the normal group and diabetic control group. The Kombucha were orally administered to the streptozotocin induced-diabetic rats at 5 mL/kg body weight per day during the 28-day experiment. The fasting plasma glucose (FPG), oxidative stress indices (superoxide dismutase [SOD] activity and Malondialdehyde [MDA] level) and lipid profile of the blood plasma were measured. The pancreas was used for immunohistochemical study and β-cells quantification. Data were analysed by ANOVA followed by Fisher test using Minitab version 16.0.

FPG of the diabetic rats treated with the Kombucha (110.3-189.3 mg/dL) was significantly lower (p = 0.000) than the diabetic control group (413.3 mg/dL). Those were in line with the number of pancreatic β-cells of 42.1 in diabetic rats that lower (p = 006) than those in treated the diabetic rats (61.2-73.5). The treated diabetic rats had lower oxidative stress (SOD activity: 20.9-44.6 unit/100 µL with p = 0.000; MDA level: 0.37-0.48 ng/100 µL with p = 0.000) than those in the diabetic rats (SOD activity: 18.7 unit/100µL; MDA level: 0.84 ng/100 µL). The treated diabetic rats also showed better lipid profile than those in the diabetic control rats. There were cultivar differences, and the Suwaru and Madura snake fruit Kombucha demonstrated the most potential for diabetes management.

This is the first study on in vivo anti-diabetes activity of snake fruit Kombucha prepared from different snake fruit cultivars.

The growth of web emerging technology and data visual demand from the World Wide Web (WWW) makes the need for information repositories become vital. Proper database development will assure the repository managing web content effectively aligns with web archive metadata standards. This paper aims to present the database design process for web archive content repository specifically to maintain social and cultural heritage values upon Malaysians as Mfigures.

The empirical process start with literature review and validation from expert on the elements and scopes of research. Then, structured database design guideline which part of database life cycle (DBLC) was applied and combined with the step of comparative and mapping the conceptual model with metadata standard that is relevant with web archive content. The paper focuses on the first three stages: Database Initial Study, web archiving and Metadata standard mapping; and conceptual design to focus on data modelling. Another two stages of database design are logical design and physical design will be exposed later.

The empirical process has produced initial conceptual data model, database structure that can be a basis of web archiving repository. The data model had also been verified with metadata data standards to assure the database structure implementation cater the need of web archiving repository features especially web information discovery.

Nevertheless, database design is the most effective way to develop good information architecture on the Net, but the absence of some important fields on related tables have been identified such as subject, language, coverage, right, publisher and contributor. The MFigures’ database schema will continuously improve for better scope and coverage of web archive content suite with future information demands on the WWW.

The conceptual data model act as a communication tool by the technical team in web application development. It can be revisited to suite with other different database management system or to suite with other similar scope of information repository requirements.

Mfigures was uniquely designed for collecting Malaysian social and cultural heritage, which are rarely design before, and it can be beneficial as Malaysia society future references for excellent motivations roles and successful stories.

The Mfigure conceptual data model was empirically design and gone through a proper validation process by the industrial and academic experts.

This paper aims to identify and classify the parameters that construct the input, processes, output, productivity and outcome variables that affect performance. These parameters are used in the evaluation model to measure research performance in universities so that they can be used as the basis for making leadership policies both at the national and institutional levels.

The design of this research is a quantitative research method using a survey questionnaire that was sent to the heads of research institutions at universities in Indonesia. To obtain these parameters, a test for determining the value of the loading factor was used.

The authors found that input variable parameters consisted of 10 parameters; process variable consisted of 22 parameters; output variable parameters consisted of 8 parameters; productivity variable consisted of 4 parameters; and outcome variable parameters consisted of 10 parameters.

One approach to obtain parameters is through systems theory, where every element that makes up the organization contributes to the achievement of goals. This study attempted to develop parameters in the performance appraisal model of systems theory-based research institutions that are adapted to trends in the direction of research in universities. These parameters are based on aspects of input, process, output, productivity and outcome.

This paper aims to explore the research field of digital transformation in small and medium enterprises (SMEs), considering the importance of SMEs in the economic development of countries.

Considering the contributions of researchers and the challenges of SMEs to transform their business models, in this paper, the authors conducted a scientometric analysis using CiteSpace that included 448 documents indexed in Scopus.

The authors appreciated the growth in the number of publications that have studied the digital transformation process in SMEs, showing a niche of researchers interested in the flourishing research topic. Likewise, the authors identified the intention of SMEs to adopt digital technologies such as artificial intelligence, big data, cloud computing, data analytics, electronic commerce and the Internet of Things.

This paper is a valuable resource for academics and researchers in information systems, decision-makers in digital transformation in SMEs and governmental organisations concerned with digital technologies adoption in SMEs to achieve digital transformation and increase competitiveness and productivity.

This study used CiteSpace to conduct a scientometric analysis to explore how researchers have focused on frameworks and maturity models for measuring SME readiness, the impact of Industry 4.0 on SMEs, guides for helping managers evaluate their Industry 4.0 positioning, the development and implementation of digital business strategies for SMEs, the presentation of cases of SMEs that have driven digital transformation and future research opportunities.

This paper aims to review and summarize the findings of research dedicated to studying the process of building sustainable business models (BM) triggered by development of COVID-19 pandemic.

Bibliometric analysis is performed to identify the papers most relevant to the topic. The authors review the findings of more than 50 papers from Scopus database published between 2020 and 2022 dedicated to studying BM during COVID-19 pandemic, as well as papers dedicated to sustainability phenomenon and most cited BM research.

The paper identifies the gap in defining BM sustainability and contributes to better understanding of this phenomenon by demarcating it from traditional environment-based United Nations agenda. It also describes why network-based approach to BM helps to better address sustainability aspects. The paper demonstrates how representation of a networked BM by three levels of analysis (namely, structure of a BM, interaction mechanism between BM actors and results of their interaction) is organically connected to the key milestones of the value creation process (value definition, value creation, value distribution and value capture) and shows how these three levels can be used to analyze and structure the practical changes proposed in COVID-19-oriented BM. Finally, the paper summarizes key findings of the studies dedicated to BM during the pandemic and structures key insights in relation to building sustainable BM.

The results of the paper contribute to developing theory around BM sustainability as well as provide insights for business practitioners on how to adjust BM during the crisis. At the same time, many insights shown in the paper are industry specific, which limits their generalizability, as well as consequences of the pandemic are still not fully clear. Therefore, the authors argue that future research should be primarily focused on developing generalizable measurement frameworks to evaluate the antecedents, process and results of BM adaptation.

The paper strengthens theoretical foundations for the research focused on BM sustainability and helps businesses to better manage the adaptation in the fast-changing environment.