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The role of higher education institutions is paramount in creating social and cultural conditions for sustainability. Several studies show universities play an important role in promoting public understanding and awareness about sustainability. The purpose of this study is to analyze the application of university social responsibility (USR) on green and nongreen campuses and how it affects the corporate social responsibility (CSR) of students' self-consciousness (SSC), especially in accounting undergraduate programs by looking at how the undergraduate programs shape their curriculum and can build student awareness related to CSR.

A total of 704 accounting undergraduate programs students from eight different universities in Indonesia were surveyed to test the CSR SSC. Eight participating universities were included in the green campus based on Universitas Indonesia Green Metric (UI GreenMetric) and nongreen campus. Each university was analyzed regarding the application of USR.

The results of this study show that universities included in the green campus at the UI GreenMetric do not necessarily have a higher USR than the nongreen campus. Overall, there is evidence that graduates from universities with high USR implementation have better CSR SSC than graduates from universities with low USR implementation. Furthermore, the findings of this study show that there is a high value of ethic and CSR knowledge coming from university students with high USR implementation but not so with character. The findings show the same results from students between the two university groups.

To the best of the authors’ knowledge, this study is the first attempt to examine the effect of USR implementation on CSR SSC in Indonesia, by putting students’ CSR knowledge as a part of CSR SSC.

This study aims to understand the antecedent of trust towards government-to-business (G2B) service in Indonesia. Trust will be viewed through four aspects, namely, cognition-based trust, personality-oriented trust, affect-based trust and experience–based trust. Then, these antecedents of trust were examined as the factors of continuance intention by extending the expected confirmation theory (ECT).

Data were collected through a quantitative approach, and 389 respondents were involved in the study. The respondents are the investors who represent their organization which uses e-government service to report their investment activities to the Investment Coordinating Board of Indonesia. Data were analyzed using partial least square structural equation modelling approach with WarpPLS 4.0.

The result shows that factors that determine a user’s trust in government online service are service quality, trust towards government entity, recommendation to use the service and user’s habit of using the service. Factors that do not determine a user’s trust in government online service is a disposition to trust. Another finding is that a user’s trust on an online service does not directly influence his/her continuance of use. Trust will impact the continuance of use through perceptions of benefits and perceived satisfaction of using the online service.

ECT is applicable in G2B process. Organizations have a perception of benefit while using a public e-service and confirm the perception through their experience while using an e-service to gain satisfaction, and this will encourage them to continue using the service.

To improve organizations’ trust on the e-service, the government needs to improve the e-service quality (by evaluating the efficiency, privacy, user support, reliability and information quality), investor familiarity of the system (training or socialization), investor trust on the government entity (improve the employee competence) and recommendation on using the system.

Trust dimension has also been studied to be a factor that influences the intention or continuance of use of technology; however, it has rarely been studied towards its effect in the ECT’s context. In e-government study, there are various studies related to government-to-citizen (G2C) concept. However, the research in government-to-business (G2B) area that has not been explored much.

This study aims to identify factors behind the intention to sign e-petitions, focusing on three aspects, i.e. information (argument quality), the source of information (source credibility) and personal perspective (personal relevance and altruism).

Data collection is done by using a quantitative approach through an online questionnaire. This study involved 211 respondents who were internet users in Indonesia who had signed an e-petition. The data were analyzed using structural equation modeling approach with IBM Amos version 22.0.

The findings revealed that there are three factors shaping internet users’ attitudes toward e-petitions, namely, altruism, AQ and personal relevance, of which altruism was the strongest factor. Those who have a positive attitude toward e-petitions seemed to have higher intention to sign e-petitions. Additionally, we discovered that internet users believe credible e-petition initiators deliver better arguments, which drive them to sign e-petitions.

The finding related to elaboration likelihood model has revealed that not only the dual processing of central routes and peripheral routes but also the possibility of peripheral routes influencing the factors in the central route. Hence, future studies need to include the examination of this relation. Finally, altruism is identified as the major factor that influences people to sign e-petitions. Therefore, people should be aware of this factor while examining the environment that likely has voluntary aspects.

To improve the adoption of the e-petition system, it is important for the e-petition websites to maintain attitude factors to achieve the e-petition goals. It is also important that e-petition websites provide credibility information of the e-petition initiators and make it visible to everyone. The e-petition sites must be able to be personalized so that users can be categorized based on their profiles or interests. Finally, as altruism is the most influencing factor in shaping internet users’ attitude toward e-petitions, e-petition initiators need to write a persuasive and arousing information and images for their e-petition. Some templates, tips or even online training to persuasive public petitions also need to be provided.

This study attempts to fill the research gap by examining factors from three domains, i.e. information source (the e-petitioners), information/AQ and personal perspective (personal motivation) of the e-petition signers. The authors enrich the research model with altruism factors that influence attitude in signing petitions. This study illustrates the characteristic of Indonesian internet user’s and provides important implications for how the e-petitions site should improve the functionality of the sites.

Blockchain technology was once only associated with the financial industry, but it is now being used in a variety of industries, including education. Researchers all over the world take a keen interest in studying the various applications of blockchain technology for the last 4–5 years. The current study is a review of previously published studies on blockchain technology’s applicability in the sector of education. The systematic review was used to conduct the qualitative analysis using the PRISMA Framework (Preferred Reporting Items for Systematic Review and Meta-Analysis). For this comprehensive literature review analysis, 99 publications were chosen in the final stage of selection. Bibliometric analysis is employed to analyse the collected data. Authorship analysis, co-authorship analysis, keyword co-occurrences, and important applications of blockchain in education are the primary parts in which the literature’s findings are organised. Important directions are given for researchers and academicians involved in blockchain-related research who may use the bibliometric analysis of the present study as a reference.

The purpose of this paper is examining how financial inclusion can be enhanced in rural and remote areas in emerging economies through the adoption of Financial technologies. The study examines the direct influence of technological characteristics, facilitating conditions, trust and perceived risk on adoption of FinTech. Furthermore, the study examines the mediating effects of facilitating conditions and moderating effects of education level in adoption of FinTech.

The study employed quantitative research design. Stratified and simple random sampling were employed to identify areas in which respondents will be collected. Drop and Pick method was further employed to collect 275 valid and reliable responses. Structural equation modeling was used to analyze the data and assess the reliability and validity of the measurement model. Structural model analysis was employed to examine the hypothesized relationship.

The results show that compatibility, complexity agent trust, perceived risk and facilitating have significant influence on adoption of FinTech. Furthermore, the findings show that facilitating conditions mediate the relationship between all technological characteristics and FinTech adoption except the relationship between compatibility and FinTech. The study also has found that education level moderates the relationship between observability and FinTech adoption as well as trialability and FinTech adoption.

This study employed cross-sectional research-based techniques in collecting data for analyzing the hypothesized relationship. However, the drawback of cross-sectional may impact the findings of this study over a long time. Therefore, future studies must consider conducting longitudinal studies which may collect data over some time for analysis of the FinTech adoption. Furthermore, the generalization of these findings should be considered carefully by other countries which are not economically similar to Tanzania and developed countries. This also provides room for future studies to examine the same area in countries with different economic development.

This study contributes to knowledge into two folds: First there is limited knowledge on adoption of FinTech in emerging economies; the study addresses the knowledge gap by providing empirical findings which will help scholar. Furthermore, less studies have examined the moderating effects of facilitating condition in adoption of technology. This study addresses the knowledge gap by examining the moderating influence of moderating influence of facilitating conditions. Also, this study provides empirical findings which will help policymakers to implement strategy that will speed-up financial inclusion in rural and isolated areas in emerging economies.

The purpose of this study is to examine the factors influencing the adoption and utilization of the online examination portal (OEP) in Indian universities. This study combines the Unified Theory of Acceptance and Usage of Technology (UTAUT) and Task Technology Fit (TTF) to explain the user's intention to use an OEP at an Indian University.

This study's methodology combines UTAUT as a theoretical framework with TTF. It is conceptualized that TTF has a moderating effect on UTAUT's primary construct. The authors collected the data from 182 graduate students from an Indian university. PLS-SEM is used to identify the causal relationship between the constructs using the structural equation modeling (SEM) technique.

The findings will demonstrate the applicability of the constructs of performance expectancy, effort expectancy and facilitating conditions in influencing the usage intention and behavior of students towards OEP. The outcome will also demonstrate the moderating effect of TTF on the predictors of intention to use OEP at an Indian University.

The sample respondents who participated in the study are students at the Indian University in Pune. The selection of samples was based on convenience sampling. Future research should be conducted at a variety of geographic locations, educational levels, undergraduate and graduate schools, as well as multiple universities. To increase the objectivity of sample selection, the probabilistic sampling method can be used to select samples. For future studies, larger sample sizes (more than 182) can be collected in order to increase the generalizability and applicability of the findings to other developing markets.

The study will aid Indian universities in enhancing the effectiveness of OEP. The study will also demonstrate the users' perception of the portal and their willingness to use it. It will also assist the university administration in finalizing the examination portal's implementation strategy.

Very few studies have been published on the factors influencing the acceptance and utilization of specific online examination systems. To address this underrepresentation, the current article investigates the factors and criteria that influence students' intent to use the OEP. The authors conceptualize the model using UTAUT as a theoretical foundation, which is absent from the published literature on the OEP. The study incorporated UTAUT and TTF to determine the impact on OEP usage and intent. In addition, the study contributes by testing the moderating effect of TTF on the UTAUT variables that influence the intention to use OEP.

The aim of this study is to examine the behavioral intention (BI) to adopt the Coinbase Wallet by Spanish users.

A survey was administered to individuals residing in Spain between March and April 2021. There were 301 questionnaires analyzed. This research applies a new predictive model based on technology acceptance model (TAM) 2, the unified theory of acceptance and use of technology (UTAUT) model, the theory of perceived risk and the commitment trust theory. A mixed partial least squares structural equation modeling (PLS-SEM)/fuzzy-set qualitative comparative analysis (fsQCA) methodology was employed for the modeling and data analysis.

The results showed that all the variables proposed have a direct and positive influence on the intention to use a Coinbase Wallet. The findings present clear directions for traders, investors and academics focused on improving their understanding of the characteristics of these markets.

First, this study addresses important concerns relating to the adoption of crypto-wallets during the global pandemic. Second, this research contributes to the existing literature by adding electronic word of mouth (e-WOM), trust, web quality and perceived risk as new drivers of the intention to use the Coinbase Wallet, providing unique and innovative insights. Finally, the study offers a solid methodological contribution by integrating linear (PLS) and nonlinear (fsQCA) techniques, showing that both methodologies provide a better understanding of the problem and a more detailed awareness of the patterns of antecedent factors.

This study aims to examine foreign direct investment (FDI) factors and develops a rational framework for FDI inflow in Western European countries such as France, Germany, the Netherlands, Switzerland, Belgium and Austria.

Data for this study were collected from the World development indicators (WDI) database from 1995 to 2018. Factors such as economic growth, pollution, trade, domestic capital investment, gross value-added and the financial stability of the country that influence FDI decisions were selected through empirical literature. A framework was developed using interpretable machine learning (IML), decision trees and three-stage least squares simultaneous equation methods for FDI inflow in Western Europe.

The findings of this study show that there is a difference between the most important and trusted factors for FDI inflow. Additionally, this study shows that machine learning (ML) models can perform better than conventional linear regression models.

This research has several limitations. Ideally, classification accuracies should be higher, and the current scope of this research is limited to examining the performance of FDI determinants within Western Europe.

Through this framework, the national government can understand how investors make their capital allocation decisions in their country. The framework developed in this study can help policymakers better understand the rationality of FDI inflows.

An IML framework has not been developed in prior studies to analyze FDI inflows. Additionally, the author demonstrates the applicability of the IML framework for estimating FDI inflows in Western Europe.

Traditional payment systems based on cash and bank cards are being replaced by new innovative formats. This research analyzes the success factors in the adoption by customers of Bizum, a peer-to-peer (P2P) mobile payment system widely used in Spain. This study proposes a theoretical framework based on the Stimulus–Organism–Response (S-O-R) model and includes the analysis of the moderating effect of perceived risk and the mediating effect of perceived trust.

To achieve the proposed objectives, an online questionnaire was administered to 701 Spanish smartphone users, potential users of the proposed P2P payment systems.

The results show that perceived usefulness is the most important predictor of intention to use. Additionally, a medium predictive relevance performance of the proposed model is found.

This research contributes to a more holistic understanding of the adoption of P2P payment systems and provides new business opportunities that companies can exploit through the use of this technology.

以現金和銀行卡為基礎的傳統支付系統、正被嶄新而又富創意的模式取代。本研究擬分析驅使消費者使用Bizum的成功因素 (Bizum 是一個在西班牙得到廣泛使用的P2P移動支付系統) 。本研究以刺激-有機體-反應模型為基礎, 建議了一個概念框架;研究亦擬分析感知風險的調節作用, 以及感知信任的中介效應。

為達研究目標, 研究人員處理了701名西班牙智慧型手機使用者回答的網上問卷, 這些使用者是本研究提出的P2P支付系統的潛在用戶。

研究結果顯示、感知有用性是消費者會否使用P2P支付系統最重要的預測因素。研究結果亦顯示、本研究建議的概念框架的預測能力水平屬中等。

本研究使我們對驅使消費者使用P2P支付系統的因素更全面地了解;研究也使企業可透過使用這技術, 為自己創造新的商機。

Amid the COVID-19 contamination, people are bound to use contactless FinTech payment services. Because of restrictions on physical movement and avoidance of touching physical money, people willingly choose mobile payment, resulting in enormous growth in FinTech payment service industries. Because of this, this study aims to examine the effect of factors affecting Gen X and Millennials users to use FinTech payment services.

The authors used 328 responses collected through convenience sampling of Indian users aged between 26 and 57 years in the Delhi-NCR region who are users of FinTech payment services.

The authors’ findings verified that in India, perceived COVID-19 risk, perceived severity for COVID, individual mobility, subjective norms, perceived ease of use and perceived usefulness have statistically significant impacts on FinTech payment services during the COVID-19 pandemic. Structural equation modelling was used to study the proposed research model. Overall, the model predicted 76.9 % of the variation in intention to use FinTech payment services by the abovesaid variables by Indian users during a pandemic.

This study will provide valuable insight to all FinTech service providers and stakeholders in planning and designing the concerned policy. It will be able to draw the attention of users more.

This research added a valuable theory to the existing technology adoption model (TAM) theory. It demonstrated the utility of the above variables in adopting and using FinTech payment services, which will help service providers to develop future strategies because of the COVID-19 pandemic.