Browse publications by year: 2023

  1. Chang L, Chong WT, Yau YH, Cui T, Wang XR, Pei F, et al.
    PMID: 37360559 DOI: 10.1007/s13762-023-04994-7
    Air quality in subway systems is crucial as it affects the health of passengers and staff. Although most tests of PM2.5 concentrations in subway stations have taken place in public areas, PM2.5 is less understood in workplaces. Few studies have estimated the cumulative inhaled dose of passengers based on real-time changes in PM2.5 concentrations as they commute. To clarify the above issues, this study first measured PM2.5 concentrations in four subway stations in Changchun, China, where measuring points included five workrooms. Then, passengers' exposure to PM2.5 during the whole subway commute (20-30 min) was measured and segmented inhalation was calculated. The results showed that PM2.5 concentration in public places ranged from 50 to 180 μg/m3, and was strongly correlated with outdoors. While the PM2.5 average concentration in workplaces was 60 µg/m3, and it was less affected by outdoor PM2.5 concentration. Passenger's cumulative inhalations in single commuting were about 42 μg and 100 μg when the outdoor PM2.5 concentrations were 20-30 μg/m3 and 120-180 μg/m3, respectively. The PM2.5 inhalation in carriages accounted for the largest proportion of the entire commuting, about 25-40%, because of the longer exposure time and higher PM2.5 concentrations. It is recommended to improve the tightness of the carriage and filter the fresh air to improve the air quality inside. The average daily PM2.5 inhaled by staff was 513.53 μg, which was 5-12 times higher than that of passengers. Installing air purification devices in workplaces and reminding staff to take personal protection can positively protect their health.
  2. Adeniji AO, Okaiyeto K, Mohammed JN, Mabaleha M, Tanor EB, George MJ
    PMID: 37360561 DOI: 10.1007/s13762-023-04916-7
    Microplastic distribution and pollution as emerging contaminants have become a leading environmental issue globally, owing to their ecological and health implications on biota and humans. Although several bibliometric studies have been reported on microplastics, they are mostly restricted to selected environmental media. As a result, the present study aimed at assessing the literature growth trend of microplastics-related research and their distribution in the environment using a bibliometric approach. The Web of Science Core Collection was explored to retrieve published articles on microplastics from 2006 to 2021, and the data were analysed using the Biblioshiny package of RStudio. This study also highlighted filtration, separation, coagulation, membrane technology, flotation, bionanomaterials, bubble barrier devices, and sedimentation as MP remediation techniques. In the present study, a total of 1118 documents were collected from the literature search; the documents/author and authors/document were 0.308 and 3.25, respectively. A significant growth rate of 65.36% was recorded with notable progress between 2018 and 2021. China, the USA, Germany, the UK, and Italy recorded the highest number of publications within the period under consideration. A collaboration index of 3.32 was also relatively high, with the Netherlands, Malaysia, Iran, France, and Mexico having the highest MCP ratios, respectively. It is anticipated that findings from this study will help the policymakers in addressing issues concerning microplastic pollution assist the researchers in identifying areas to concentrate their studies, and where to seek collaboration in their future research plans.

    SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13762-023-04916-7.

  3. Zhan C, Zhang X, Yuan J, Chen X, Zhang X, Fathollahi-Fard AM, et al.
    PMID: 37360563 DOI: 10.1007/s13762-023-04995-6
    As supply chains, logistics, and transportation activities continue to play a significant role in China's economic and social developments, concerns around energy consumption and carbon emissions are becoming increasingly prevalent. In light of sustainable development goals and the trend toward sustainable or green transportation, there is a need to minimize the environmental impact of these activities. To address this need, the government of China has made efforts to promote low-carbon transportation systems. This study aims to assess the development of low-carbon transportation systems in a case study in China using a hybrid approach based on the Criteria Importance Through Intercriteria Correlation (CRITIC), Decision-Making Trial and Evaluation Laboratory (DEMATEL) and deep learning features. The proposed method provides an accurate quantitative assessment of low-carbon transportation development levels, identifies the key influencing factors, and sorts out the inner connection among the factors. The CRITIC weight matrix is used to obtain the weight ratio, reducing the subjective color of the DEMATEL method. The weighting results are then corrected using an artificial neural network to make the weighting more accurate and objective. To validate our hybrid method, a numerical example in China is applied, and sensitivity analysis is conducted to show the impact of our main parameters and analyze the efficiency of our hybrid method. Overall, the proposed approach offers a novel method for assessing low-carbon transportation development and identifying key factors in China. The results of this study can be used to inform policy and decision-making to promote sustainable transportation systems in China and beyond.
  4. Maniam L, Vellasamy KM, Ong TA, Teh CSJ, Jabar KA, Mariappan V, et al.
    PeerJ, 2023;11:e15305.
    PMID: 37361034 DOI: 10.7717/peerj.15305
    BACKGROUND: Uropathogenic Escherichia coli (UPEC) is the predominant agent causing various categories of complicated urinary tract infections (cUTI). Although existing data reveals that UPEC harboured numerous virulence determinants to aid its survival in the urinary tract, the reason behind the occurrence of differences in the clinical severity of uninary tract infections (UTI) demonstrated by the UPEC infection is poorly understood. Therefore, the present study aims to determine the distribution of virulence determinants and antimicrobial resistance among different phylogroups of UPEC isolated from various clinical categories of cUTI and asymptomatic bacteriuria (ASB) E. coli isolates. The study will also attempt a relational analysis of the genotypic characteristics of cUTI UPEC and ASB E. coli isolates.

    METHODS: A total of 141 UPEC isolates from cUTI and 160 ASB E. coli isolates were obtained from Universiti Malaya Medical Centre (UMMC). Phylogrouping and the occurrence of virulence genes were investigated using polymerase chain reaction (PCR). Antimicrobial susceptibility of the isolates to different classes of antibiotics was determined using the Kirby Bauer Disc Diffusion method.

    RESULTS: The cUTI isolates were distributed differentially among both Extraintestinal Pathogenic E. coli (ExPEC) and non-ExPEC phylogroups. Phylogroup B2 isolates were observed to possess the highest average aggregative virulence score (7.17), a probable representation of the capability to cause severe disease. Approximately 50% of the cUTI isolates tested in this study were multidrug resistant against common antibiotics used to treat UTI. Analysis of the occurrence of virulence genes among different cUTI categories demonstrated that UPEC isolates of pyelonephritis and urosepsis were highly virulent and had the highest average aggregative virulence scores of 7.80 and 6.89 respectively, compared to other clinical categories. Relational analysis of the occurrence of phylogroups and virulence determinants of UPEC and ASB E. coli isolates showed that 46.1% of UPEC and 34.3% of ASB E. coli from both categories were distributed in phylogroup B2 and had the highest average aggregative virulence score of 7.17 and 5.37, respectively. The data suggest that UPEC isolates which carry virulence genes from all four virulence genes groups studied (adhesions, iron uptake systems, toxins and capsule synthesis) and isolates from phylogroup B2 specifically could predispose to severe UTI involving the upper urinary tract. Therefore, specific analysis of the genotypic characteristics of UPEC could be further explored by incorporating the combination of virulence genes as a prognostic marker for predicting disease severity, in an attempt to propose a more evidence driven treatment decision-making for all UTI patients. This will go a long way in enhancing favourable therapeutic outcomes and reducing the antimicrobial resistance burden among UTI patients.

    MeSH terms: Anti-Bacterial Agents/pharmacology; Humans; Virulence Factors/genetics
  5. Naeem MA, Karim S, Yarovaya L, Lucey BM
    Ann Oper Res, 2023 Apr 18.
    PMID: 37361088 DOI: 10.1007/s10479-023-05330-5
    Financial markets are exposed to extreme uncertain circumstances escalating their tail risk. Sustainable, religious, and conventional markets represent three different markets with various characteristics. Motivated with this, the current study measures the tail connectedness between sustainable, religious, and conventional investments by employing a neural network quantile regression approach from December 1, 2008 to May 10, 2021. The neural network recognized religious and conventional investments with maximum exposure to tail risk following the crisis periods reflecting strong diversification benefits of sustainable assets. The Systematic Network Risk Index spots Global Financial Crisis, European Debt Crisis, and COVID-19 pandemic as intensive events yielding high tail risk. The Systematic Fragility Index ranks the stock market in the pre-COVID period and Islamic stocks during the COVID sample as the most susceptible markets. Conversely, the Systematic Hazard Index nominates Islamic stocks as the chief risk contributor in the system. Given these, we portray various implications for policymakers, regulatory bodies, investors, financial market participants, and portfolio managers to diversify their risk using sustainable/green investments.
  6. Karim S, Naeem MA, Tiwari AK, Ashraf S
    Ann Oper Res, 2023 May 03.
    PMID: 37361090 DOI: 10.1007/s10479-023-05365-8
    The sustainability issues have been surmounted in the last decades. The digital disruption caused by blockchains and other digitally backed currencies has raised several serious concerns for policymakers, governmental agencies, environmentalists, and supply chain managers. Alternatively, sustainable resources are environmentally sustainable and naturally available resources which are employable by several regulation authorities to reduce the carbon footprint and attain energy transition mechanisms to support sustainable supply chains in the ecosystem. Using the asymmetric time-varying parameters vector auto-regressions approach, the current study examines the asymmetric spillovers between blockchain-backed currencies and environmentally supported resources. We find clusters between blockchain-based currencies and resource-efficient metals, highlighting similar-class dominance of spillovers. We portrayed several implications of our study for policymakers, supply chain managers, the blockchain industry, sustainable resources mechanisms, and regulatory bodies to emphasize that natural resources play a significant role in attaining sustainable supply chains servicing the benefits to society at large and to other stakeholders.
  7. Yousaf I, Qureshi S, Qureshi F, Gubareva M
    Ann Oper Res, 2023 Mar 22.
    PMID: 37361093 DOI: 10.1007/s10479-023-05267-9
    We examine the connectedness of the COVID vaccination with the economic policy uncertainty, oil, bonds, and sectoral equity markets in the US within time and frequency domain. The wavelet-based findings show the positive impact of COVID vaccination on the oil and sector indices over various frequency scales and periods. The vaccination is evidenced to lead the oil and sectoral equity markets. More specifically, we document strong connectedness of vaccinations with communication services, financials, health care, industrials, information technology (IT) and real estate equity sectors. However, weak interactions exist within the vaccination-IT-services and vaccination-utilities pairs. Moreover, the effect of vaccination on the Treasury bond index is negative, whereas the economic policy uncertainty shows an interchanging lead and lag relation with vaccination. It is further observed that the interrelation between vaccination and the corporate bond index is insignificant. Overall, the impact of vaccination on the sectoral equity markets and economic policy uncertainty is higher than on oil and corporate bond prices. The study offers several important implications for investors, government regulators, and policymakers.
  8. Vicheet WV, Tan ST
    Z Gesundh Wiss, 2023 May 25.
    PMID: 37361309 DOI: 10.1007/s10389-023-01941-1
    AIM: This cross-sectional study aims to investigate the correlations between food security, diet quality and weight change among working women during the endemic phase of COVID-19 in the Klang Valley of Malaysia.

    METHODS: Working women aged 18-49 years were required to self-report their socio-demographics and pre-pandemic body weight (body weight during February 2020). Body height and current body weight were measured using a SECA stadiometer and TANITA weighing scale. Food security was assessed using the Food Insecurity Experience Scale (FIES); the diet quality was determined with the Diet Quality Questionnaire (DQQ) for Malaysia.

    RESULTS: The prevalence of moderate-to-severe food insecurity was 19.9%. It is noted that 64.3% of working women gained weight throughout the pandemic, with an average weight gain of 4.36 ± 3.19 kg. Concerning diet quality, the majority (82.5%) achieved the Minimum Dietary Diversity for Women (MDD-W). Findings from linear regression revealed that food security was not significantly correlated with weight change. However, working women who failed to achieve the MDD-W gained, on average, 1.853 kg more than those who did (p = 0.040). On the other hand, no significant correlation was observed between food security status and diet quality in weight change of working women.

    CONCLUSION: The current study shall provide an impetus to develop intervention strategies for promoting healthy eating among working women.

  9. Nasir AA, Syarif NY, Omar D, Asib N
    J Pestic Sci, 2023 May 20;48(2):54-60.
    PMID: 37361486 DOI: 10.1584/jpestics.D22-072
    Development of mycoinsecticides with Cordyceps fumosorosea as an active ingredient is established as an alternate way to control the Metisa plana population while reducing chemical insecticide dependence. Three mycoinsecticide formulations (SS6, SS7, and SS8) with dispersing and wetting agents were developed as wettable powder formulations in this trial. SS8 demonstrated the best wettability, suspensibility, and dispersibility with viability at 107 (CFU)/mL even after three months of storage. However, SS7 developed with C. fumosorosea as an active ingredient was found to effectively reduce the bagworm population by more than 95%. The application of all mycoinsecticide formulations in the infested oil palm area was able to reduce the M. plana population by more than 95%, 30 DAT. The formulations also show no significant increase in mortality of the oil palm pollinator, Elaeidobius kamerunicus. This finding indicates that the C. fumosorosea tested has potential for managing bagworms without harming pollinators on oil palm plantations.
  10. Welch V, Tanjong Ghogomu E, Dowling S, Choo WY, Yunus RM, Mohd TAMT, et al.
    Campbell Syst Rev, 2023 Sep;19(3):e1340.
    PMID: 37361556 DOI: 10.1002/cl2.1340
    This is the protocol for an evidence and gap map. The objectives are as follows: This EGM aims to map available evidence on the effects of in-person interventions to reduce social isolation and/or loneliness across all age groups in all settings.
  11. AlMeraj Z, Alhuwail D, Qadri R, Shama S, Crabb M
    PMID: 37361678 DOI: 10.1007/s10209-023-00980-5
    The responsibility for creating accessible software within the development of digital services is important for multiple reasons, mainly equity and inclusion. However, adopting and sustaining the development of accessible digital solutions has always been challenging, more so in countries that are relatively new to the concept of universal design, and physical and digital accessibility, and where legal sanctions are not yet established. This work investigates the technology scene in the State of Kuwait and analyses the responses of computing professionals with regard to their skills, best practices and procurement of accessible tech and to their level of awareness toward people with disabilities. The findings reveal a low level of awareness among tech professionals with regard to disabilities and digital accessibility-related standards. The findings also highlight a lack of available guidance for developing inclusive design and accessibility. Additionally, time constraints, lack of training, legal enforcement and fundamentals concepts during undergraduate and higher education contributed to observed weaknesses. Participants were keen to learn more and benefited from flyers and free professional development courses offered as incentives for survey completion.
  12. Rubboli G, Beier CP, Selmer KK, Syvertsen M, Shakeshaft A, Collingwood A, et al.
    Brain Commun, 2023;5(3):fcad182.
    PMID: 37361715 DOI: 10.1093/braincomms/fcad182
    Reliable definitions, classifications and prognostic models are the cornerstones of stratified medicine, but none of the current classifications systems in epilepsy address prognostic or outcome issues. Although heterogeneity is widely acknowledged within epilepsy syndromes, the significance of variation in electroclinical features, comorbidities and treatment response, as they relate to diagnostic and prognostic purposes, has not been explored. In this paper, we aim to provide an evidence-based definition of juvenile myoclonic epilepsy showing that with a predefined and limited set of mandatory features, variation in juvenile myoclonic epilepsy phenotype can be exploited for prognostic purposes. Our study is based on clinical data collected by the Biology of Juvenile Myoclonic Epilepsy Consortium augmented by literature data. We review prognosis research on mortality and seizure remission, predictors of antiseizure medication resistance and selected adverse drug events to valproate, levetiracetam and lamotrigine. Based on our analysis, a simplified set of diagnostic criteria for juvenile myoclonic epilepsy includes the following: (i) myoclonic jerks as mandatory seizure type; (ii) a circadian timing for myoclonia not mandatory for the diagnosis of juvenile myoclonic epilepsy; (iii) age of onset ranging from 6 to 40 years; (iv) generalized EEG abnormalities; and (v) intelligence conforming to population distribution. We find sufficient evidence to propose a predictive model of antiseizure medication resistance that emphasises (i) absence seizures as the strongest stratifying factor with regard to antiseizure medication resistance or seizure freedom for both sexes and (ii) sex as a major stratifying factor, revealing elevated odds of antiseizure medication resistance that correlates to self-report of catamenial and stress-related factors including sleep deprivation. In women, there are reduced odds of antiseizure medication resistance associated with EEG-measured or self-reported photosensitivity. In conclusion, by applying a simplified set of criteria to define phenotypic variations of juvenile myoclonic epilepsy, our paper proposes an evidence-based definition and prognostic stratification of juvenile myoclonic epilepsy. Further studies in existing data sets of individual patient data would be helpful to replicate our findings, and prospective studies in inception cohorts will contribute to validate them in real-world practice for juvenile myoclonic epilepsy management.
  13. Kabilan MK, Annamalai N, Chuah KM
    PMID: 37361777 DOI: 10.1007/s10639-023-11723-7
    Literature emphasizes that gamification significantly enhances students' engagement in learning and their motivation level. Studies have also examined the benefits of gamification in learning across different levels of education. However, the focus on academics' pedagogical understanding, knowledge, and skills and how they utilize these in planning and carrying out their gamified lessons particularly in the context of higher education, are not well researched. A mixed-methods study was conducted at a Malaysian public university with the aim of uncovering the practices, purposes, and challenges of integrating gamification via technology from the academics' perspective. Findings show the academics' practices of gamification could be further enhanced and their pedagogical considerations revolve around five main themes: (i) motivating students' learning; (ii) facilitating thinking skills and solving problems; (ii) engaging students' learning; (iv) facilitating interactions and (v) achieving specific teaching and learning goals. Based on the findings, the researchers proposed two models that would be able to facilitate and enhance academics' pedagogical knowledge and skills in integrating gamification for students' learning.

    SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10639-023-11723-7.

  14. Devisakti A, Muftahu M, Xiaoling H
    PMID: 37361786 DOI: 10.1007/s10639-023-11847-w
    While technological advances have led to digital transformation in many higher education institutions (HEIs), digital divide, especially among students in developing nations, is becoming a growing concern. This study aims to investigate the use of digital technology among B40 students (students from the lower socioeconomic backgrounds) in Malaysian HEIs. Specifically, this study intends to investigate how perceived ease of use, perceived usefulness, subjective norms, perceived behavioural control, as well as gratification constructs significantly affect digital usage among B40 students in Malaysian HEIs. This study used the quantitative research method with an online questionnaire which received 511 responses. SPSS was employed for demographic analysis, while Smart PLS software was used for structural model measurements. This study was based on two theories: planned behaviour theory and uses and gratification theory. The results showed that perceived usefulness and subjective norms significantly influenced the digital usage of the B40 students. In addition, all three gratification constructs indicated a positive effect on the students' digital usage.
  15. Krishnan S, Blebil AQ, Dujaili JA, Chuang S, Lim A
    PMID: 37361790 DOI: 10.1007/s10639-023-11745-1
    As we enter a world of blended learning in higher education, an increased need for adaptation of teaching strategies to enhance engagement has been recognised to amplify learning outcomes online. Gamification has been identified as a creative tool to engage the current cohort of learners who are also characteristically tech-savvy. To this end, escape room games have gained considerable traction in medical and pharmacy education to promote learning, critical thinking and teamwork. In this pilot study we describe the implementation of a 60-minute, web-based hepatitis-themed escape room game within a Year 3 Pharmacotherapy unit at Monash University. A total of 418 students participated in this activity. Students' knowledge gain on the topic was assessed through a pre- and post-intervention assessment, whereby a statistically significant improvement was seen in the knowledge score following implementation of the gaming activity (58.66% pre-intervention vs. 72.05% post-intervention, p 
  16. Al-Adwan AS, Li N, Al-Adwan A, Abbasi GA, Albelbisi NA, Habibi A
    PMID: 37361794 DOI: 10.1007/s10639-023-11816-3
    Metaverse, which combines a number of information technologies, is the Internet of the future. A media for immersive learning, metaverse could set future educational trends and lead to significant reform in education. Although the metaverse has the potential to improve the effectiveness of online learning experiences, metaverse-based educational implementations are still in their infancy. Additionally, what factors impact higher education students' adoption of the educational metaverse remains unclear. Consequently, the aim of this study is to explore the main factors that affect higher education students' behavioral intentions to adopt metaverse technology for education. This study has proposed an extended Technology Acceptance Model (TAM) to achieve this aim. The novelty of this study resides in its conceptual model, which incorporates both technological, personal, and inhibiting/enabling factors. The empirical data were collected via online questionnaires from 574 students in both private and public universities in Jordan. Based on the PLS-SEM analysis, the study identifies perceived usefulness, personal innovativeness in IT, and perceived enjoyment as key enablers of students' behavioral intentions to adopt the metaverse. Additionally, perceived cyber risk is found as the main inhibitor of students' metaverse adoption intentions. Surprisingly, the effect of perceived ease of use on metaverse adoption intentions is found to be insignificant. Furthermore, it is found that self-efficacy, personal innovativeness, and perceived cyber risk are the main determinants of perceived usefulness and perceived ease of use. While the findings of this study contribute to the extension of the TAM model, the practical value of these findings is significant since they will help educational authorities understand each factor's role and enable them to plan their future strategies.
  17. Jiang L, Liang X
    PMID: 37361808 DOI: 10.1007/s10639-023-11734-4
    The online and offline blended learning mode based on SPOC has gradually become a popular teaching mode in higher institutions due to COVID-19 pandemic. However, students of English as a Foreign Language (EFL) in SPOC-based blended learning environments continue facing problems of low participation and persistent intention. In order to explore the influencing factors of EFL students' continuance intentions to learn under the SPOC blended learning environment, this study recruits 48 EFL students from three higher vocational colleges based on the grounded theory. Through the triple coding method of open, axis, and selective coding based on the grounded theory and the used of software Nvivo to conduct a triple coding analysis of the text data obtained from the in-depth interviews and focus group interviews, a theoretical model of the influencing factors of EFL students' continuous learning intention (pre-influencing factors, external situational factors, and continuance intention) is proposed. Besides, a systematic framework based on stakeholders response to improve EFL students' continuance learning intentions in SPOC-based blended learning environments is constructed accordingly. This study can provide reference for basic theory and variable selection for subsequent research on the influencing factors of EFL students' continuance learning intentions in China and elsewhere.
  18. Wang X, Hassan AB, Pyng HS, Ye H
    PMID: 37361823 DOI: 10.1007/s10639-023-11752-2
    COVID-19 has disrupted education internationalisation around the world, making online learning a necessary means of learning. This study proposes an International Student Satisfaction Index Model (ISSM) on the interaction of online international courses in Chinese universities, aiming to investigate the potential factors that affect international students' online learning interaction. Based on the large-scale online course practice in Chinese universities during the pandemic, this study adopted a stratified random sampling method to select 320 international students participating in online courses as a research sample. The model proposed in this study includes four antecedent variables, one target variable, and one outcome variable. This study is quantitative, using SPSS26.0 and AMOS 21.0 to analyse the collected empirical data, and the results verify the nine research hypotheses proposed and the applicability of the online course international students' satisfaction index model (ISSM) proposed. The research results provide strong theoretical and practical support for international students' satisfaction with online course learning interaction, which is conducive to the reform of online courses and improving international students' retention rate in the online course.
  19. Azar AS, Tan NHI
    PMID: 37361839 DOI: 10.1007/s10639-023-11796-4
    In overcoming the obstacles of online learning with the current Covid-19 pandemic crisis, synchronous and asynchronous learning has been a significant part of teaching strategies applied by educators to construct a collaborative online environment with Malaysian university students. Synchronous learning has always been the most effective strategy for social learning, while asynchronous learning allows students to learn on their own schedule. Moreover, despite having many educational platforms created for higher educational settings, the practicality of selection between two teaching-learning approaches of text-presentation and video is still a debate among teachers/ lecturers with students' learning styles. Therefore, this paper explored Malaysian university students' preferences between synchronous and asynchronous learning modes with text-presentation or video. Qualitative and quantitative data from 178 participants from both public and private universities were collected via open and close-ended questions in the designed questionnaire. The findings indicated that 68% of the students preferred synchronous learning mode compared to asynchronous. Meanwhile, 39% of the students favoured both text-presentation and video learning tools to be implemented in synchronous and asynchronous approaches as it provided them better opportunities to grasp the learning content better. Thus, it can be concluded that the synchronous learning mode is preferred if only one method is provided as the students highly value the teacher's presence for ease of communication, but students prefer a range of delivery methods. Moreover, the students also displayed a strong preference for applying both text-presentation and video to achieve their learning outcomes. Thus, it is suggested that the university lecturers need to explore and apply interactive pedagogical methods in online teaching-learning process, while contributing to the development of motivation, participation, and engagement among the university students in acquiring their subjects. As such, the findings of this study have informed the pedagogical implications, and further studies are mandatory.
  20. Yeoh W, Lee ASH, Ng C, Popovic A, Han Y
    Inf Syst Front, 2023 Jun 01.
    PMID: 37361891 DOI: 10.1007/s10796-023-10411-8
    Buying and selling real estate is time consuming and labor intensive, requires many intermediaries, and incurs high fees. Blockchain technology provides the real estate industry with a reliable means of tracking transactions and increases trust between the parties involved. Despite the benefits of blockchain, its adoption in the real estate industry is still in its infancy. Therefore, we investigate the factors that influence the acceptance of blockchain technology by buyers and sellers of real estate. A research model was designed based on the combined strengths of the unified theory of technology acceptance and use model and the technology readiness index model. Data were collected from 301 real estate buyers and sellers and analyzed using the partial least squares method. The study found that real estate stakeholders should focus on psychological factors rather than technological factors when adopting blockchain. This study adds to the existing body of knowledge and provides valuable insights to real estate stakeholders on how to implement blockchain technology.
External Links