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One of the currently debated changes in scientific practice is the implementation of data sharing requirements for peer-reviewed publication to increase transparency and intersubjective verifiability of results. However, it seems that data sharing is a not fully adopted behavior among researchers. The theory of planned behavior was repeatedly applied to explain drivers of data sharing from the perspective of data donors (researchers). However, data sharing can be viewed from another perspective as well: survey participants. The research questions (RQs) for this study were as follows: 1 Does data sharing increase participant's nonresponse? 2 Does data sharing influence participant's response behavior? The purpose of this paper is to address these issues.

To answer the RQs, a mixed methods approach was applied, consisting of a qualitative prestudy and a quantitative survey including an experimental component. The latter was a two-group setup with an intervention group (A) and a control group (B). A list-based recruiting of members of the Medical Faculty of the University of Freiburg was applied for 15 days. For exploratory data analysis of dropouts and nonresponse, we used Fisher's exact tests and binary logistic regressions.

In sum, we recorded 197 cases for Group A and 198 cases for Group B. We found no systematic group differences regarding response bias or dropout. Furthermore, we gained insights into the experiences our sample made with data sharing: half of our sample already requested data of other researchers or shared data on request of other researchers. Data repositories, however, were used less frequently: 28% of our respondents used data from repositories and 19% stored data in a repository.

To the authors’ knowledge, their study is the first study that includes researchers as survey subjects investigating the effect of data sharing on their response patterns.

This study aims to address a systematic literature review (SLR) using bibliometrics on the relationship between academic integrity and artificial intelligence (AI), to bridge the scattering of literature on this topic, given the challenge and opportunity for the educational and academic community.

This review highlights the enormous social influence of COVID-19 by mapping the extensive yet distinct and fragmented literature in AI and academic integrity fields. Based on 163 publications from the Web of Science, this paper offers a framework summarising the balance between AI and academic integrity.

With the rapid advancement of technology, AI tools have exponentially developed that threaten to destroy students' academic integrity in higher education. Despite this significant interest, there is a dearth of academic literature on how AI can help in academic integrity. Therefore, this paper distinguishes two significant thematical patterns: academic integrity and negative predictors of academic integrity.

This study also presents several contributions by showing that tools associated with AI can act as detectors of students who plagiarise. That is, they can be useful in identifying students with fraudulent behaviour. Therefore, it will require a combined effort of public, private academic and educational institutions and the society with affordable policies.

This study proposes a new, innovative framework summarising the balance between AI and academic integrity.

Digital technology has been widely applied in zakat collection. Millennials, who are now dominating the productive phase and at their peak carrier path, are the potential target for zakat collection as their number reached 31.3% of the Indonesian population. On the other hand, public and private zakat institutions have attempted to optimize the country’s zakat potential, reaching 233.6tn rupiahs, through development of a digital platform for zakat collection. However, the gap between the actual collection of zakat with its potential is still large. This study aims to analyse the factors affecting millennials in paying zakat through direct payment or through digital platform of private or public zakat institutions.

Multinomial logistic regression method, which signifies the contribution of this study, is used to analyse factors influencing millennials in their zakat payment. In addition, cross-tabulation is used to classify the characteristics of respondents. Respondents are selected conveniently through a digital questionnaire distributed in February–March 2021. Respondents are also selected purposively based on their experience in paying zakat through direct, private or public zakat institutions, which are consisted of 50 respondents per each category; thus, the total becomes 150 respondents.

Based on the results, three variables, namely, education, accessibility and age, are found to have a significant influence on zakat payment through online platforms provided by private zakat institutions. Meanwhile, variables that influence zakat payment through online platforms provided by public zakat institutions are education, accessibility and income. This study also finds that millennials have the highest probability to select online platforms provided by private zakat institutions as a channel of their zakat payment. However, the overall result shows that millennials tend to pay directly to the mustahik (zakat recipients) rather than via online platforms, presumably because of their limited zakat literacy.

The purposive sampling technique used to determine the research samples limits the generalization of the study.

This paper establishes a new approach in analysing millennials preference in their zakat payment with digital inclusiveness. The use of a multinomial logistic approach, which has not been widely applied in such research, strengthens the analysis that is relevant to the need of both private and public zakat institutions to analyse determinants of millennials in paying their zakat through online platform. This study can be used as a reference to formulate a more effective marketing strategy for zakat collection. This paper also serves as an estimate of the preference with some selected typical characteristics of millennials by using a multinomial logistic approach.

Formal payment through the zakat institution theoretically is more preferable than direct payment to mustahik (zakat recipients) in the zakat campaign. However, based on this research, despite digital marketing and platforms having been well-used by both private and public zakat institutions, the millennials still prefer direct zakat payment than through online platforms. The findings of this research suggest the importance of strengthening zakat literacy through a more effective digital marketing strategy of zakat institutions which target the millennials.

This study fills the gap in the literature on how millennials choose their zakat payment method, whether through digital platforms developed by private and public zakat institutions or directly to the targeted zakat recipients. The use of multinomial logistic regression approach adds the novelty of this research.

With increasing pressure from the government and private sectors to be more environmentally and socially responsible, sustainable supplier selection has gained enormous currency in recent times. Particularly, in the case of the construction industry, owing to a large amount of industrial wastage generated and extreme workplace conditions, it is even more important to devise strategies to mitigate the harmful consequences. The most crucial step in this regard is the selection of sustainable suppliers that acquire a pivotal position in the supply chain ecosystem. This study aims to identify indicators for three criteria such as economic, environmental and social, and prioritize them according to their level of significance for sustainable supplier selection in the Indian construction industry.

In this study, the best-worst method (BWM) is presented for sustainable supplier selection in Indian construction organizations. Total of 27 indicators was identified for the three criteria of the triple bottom line (TBL) approach namely economic, environmental and social. Using BWM, the most important criterion was found and subsequently, all the indicators under each criterion were ranked in order of importance.

The analysis revealed that the environmental criterion was the most important criteria in the sustainable supplier selection followed by the economic criteria. The indicators that were the most influential in the effective selection process were “Usage of recyclable raw materials for production”, “Adoption of clean and green technologies”, “Waste management” and “Periodical environmental audits” under the environmental criteria; “Efficiency”, “Cost” and “Flexibility and Scalability” from the economic criteria; and “Safety programs” and “Information disclosure” in the social criteria.

The study provides a reference framework for the selection of sustainable suppliers in construction organizations. The findings can also be used for the assessment of suppliers' performance in the supply chains.

The novelty of this work lies in its attempt to model the performance of suppliers in the Indian construction supply chains.

This study aims to examine the effects of vocational training programs for people with disabilities on their income.

It conducted a multinomial regression analysis of 10,469 survey responses from 31 provincial administrative areas in mainland China.

It finds the following antecedents all influence the trainees’ self-reported income, including their perception of the quality of the program, the training subject, the degree of consistency between their current job and this subject, their employment sector, their motivation and access to training resources and the geographical location of the program.

The findings are not representative of people with disabilities across mainland China because the respondents were not randomly sampled.

The findings suggest that to increase the income of people with disabilities, the training can be designed according to the needs of employers by teaching subjects relevant to the needs of the labor market, reaching out to motivated trainees and enhancing the quality of training. Training institutions, employers and governments are recommended to work together to integrate class-based learning with workplace-based learning and practices. More training resources can be devoted to the self-employed people with disabilities or those who operate in the informal sector and are in less-developed areas.

The improvement of employment opportunities and income of people with disabilities supports the safeguarding of their social economic rights and the building of an inclusive society.

Few studies have empirically explored and explained the effects of vocational training programs on people with disabilities’ income. This article fills this gap by assessing the performance of China's vocational training programs funded by the Federation of Disabled Persons at all levels.