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This study aims to investigate how social capital (e.g. cognitive and relational) influences students’ trust (e.g. cognitive and affective) as mediator variables, affecting students’ information sharing activity on Facebook.

The sample consists of 398 valid participants obtained through an online survey and using structural equation modeling (SEM) to test the research hypotheses.

The empirical results indicate that social capital has significant and positive effects on students’ trust (e.g. cognitive and affective-based trust), also mediator variables. Furthermore, the mediator variables partially mediate social capital and information sharing based on the concept of cognition-affection-behavior (CAB).

This study was limited to Indonesian students. Therefore, future study is needed to analyze across cultures and regions. It can help practitioners, regulators and researchers to observe the dynamic behavior on the impact of social capital on social media users’ activities.

Education stakeholders (e.g. lecturers and teachers) can identify the students’ goal and rational concerns to improve their social capital and trust to share information. The government as a regulator needs to support students’ activities on social media to provide updated information regarding economic and social conditions during and after the COVID-19 pandemic.

This study contributes to the literature on virtual communities. Specifically, it considers how social capital influences trust, which subsequently affects information sharing based on the CAB context among Indonesian student’ Facebook users.

In the case of money laundering (ML) originating from the predicate crime of corruption, law enforcers find it difficult to prove all or the existence of a predicate crime on assets that produce assets. This paper aims to analyze ML in corruption cases in Indonesia.

This research uses qualitative descriptive methods. This research discusses the law enforcement of corruption which coincides with the crime of ML.

New findings were discovered where against the corruption case which was carried out concurrently with the crime of money laundering, the value of which was Rp. 1bn and above and has been handled by investigators from the Corruption Eradication Commission (KPK), so the prosecution process is carried out by the public prosecutor from the KPK to continue the trial to the Corruption Court. With respect to cases of criminal acts of corruption, which were carried out concurrently with ML crimes, the value of which was Rp. 1bn and below and had been handled by the prosecutor’s investigators from the start, the prosecution process was carried out by the public prosecutor from the prosecutor’s office to continue the trial to the corruption court.

To the best of the authors’ knowledge, this is the first study to use normative perspective on ML in corruption cases (white-collar crime). In contrast to previous studies that take fraud in general as an object of research, researchers are now interested in focusing more research on detecting suspected ML crimes: a case study on corruption cases in Indonesia.

The purpose of this paper is to demonstrate the development of an aircraft-type autonomous portable drone suitable for surveillance and disaster management. The drone is capable of flying at a maximum speed of 76 km/h. This portable drone comprises five distinct parts those are easily installable within several minutes and can be fit in a small portable kit. The drone consists of a ballistic recovery system, allowing the drone landing vertically. The integrated high-definition camera sends real-time video stream of desired area to the ground control station. In addition, the drone is capable of carrying ~1.8 kg of payload.

In order to design and develop the portable drone, the authors sub-divided the research activities in six fundamental steps: survey of the current drone technologies, design the system architecture of the drone, simulation and modeling of various modules of the drone, development of various modules of the drone and their performance analysis, integration of various modules of the drone, and real-life performance analysis and finalization.

Experimental results: the cruise speed of the drone was in the range between 45 and 62 km/h. The drone was capable of landing vertically using the ballistic recovery system attached with it. On the contrary, the drone can transmit real-time video to the ground control station and, thus, suitable for surveillance. The audio system of the drone can be used for announcement of emergency messages. The drone can carry 1.8 kg of payload and can be used during disaster management. The drone parts are installed within 10 min and fit in a small carrying box.

The autonomous aircraft-type portable drone has a wide range of applications including surveillance, traffic jam monitoring and disaster management.

The cost of the cost-effective drone is within $700 and creates opportunities for the deployment in the least developed countries.

The autonomous aircraft-type portable drone along with the ballistic recovery system were designed and developed by the authors using their won technology.

This study, rooted in affordance-actualization theory and communication theory, aims to critically examine how ChatGPT influences users’ transition from new adopters to loyal advocates within the context of travel decision-making. It incorporates constructs including communication quality, personalization, anthropomorphism, cognitive and emotional trust (ET), loyalty and intention to adopt into a comprehensive model.

This study used quantitative methods to analyze data from 477 respondents, collected online through a self-administered questionnaire by Embrain, a leading market research company in South Korea. Lavaan package within R studio was used for evaluating the measurement model through confirmatory factor analysis and using structural equation modeling to examine the proposed hypotheses.

The findings reveal a pivotal need for enhancing ChatGPT’s communication quality, particularly in terms of accuracy, currency and understandability. Personalization emerges as a key driver for cognitive trust, while anthropomorphism significantly impacts ET. Interestingly, the study unveils that in the context of travel recommendations, users’ trust in ChatGPT predominantly operates at the cognitive level, significantly impacting loyalty and subsequent adoption intentions.

The findings of this research provide valuable insights for improving Generative AI (GenAI) technology and management practices in travel recommendations.

As one of the few empirical research papers in the burgeoning field of GenAI, this study proposes a highly explanatory model for the process from affordance to actualization in the context of using ChatGPT for travel recommendations.

This study uses a comprehensive theoretical framework that combines social cognitive theory and neighborhood effect to investigate the influence of neighborhood effects on farmers’ outcome expectations, observational learning and self-efficacy. This study aims is to analyze the mechanisms that underlie the adoption of social media by farmers for knowledge exchange in the agricultural context. Specifically, this research explores the role of neighborhood effects, outcome expectations, observational learning and self-efficacy in shaping farmers’ decision-making process regarding the use of social media platforms for exchanging agricultural knowledge.

The study data was collected through a sample survey conducted among 570 agricultural households residing in the provinces of Thai Nguyen, Cao Bang, Bac Kan and Phu Tho, located in the northern region of Vietnam. To analyze the data, structural equation modeling was used as the statistical technique of choice.

The findings of the study indicate a significant influence of neighborhood effects on outcome expectations, observational learning and self-efficacy. These factors, derived from social cognitive theory, also exhibit a positive association with farmers’ adoption of social media for knowledge exchange. Additionally, the study highlights that neighborhood contribute to a favorable adoption of social media among farmers via outcome expectations, observational learning, and self-efficacy.

The study is limited in examining farmers’ social media adoption for agriculture knowledge exchange in Northern mountainous area of Vietnam. This study could be replicated across various regions or nations, providing comparative insights into the adoption of social media among farmers for knowledge exchange.

The study findings suggest practical and innovative means to promote farmers’ social media adoption for agriculture knowledge exchange.

This study presents a pioneering approach by integrating social cognitive theory and neighborhood effect to elucidate the factors influencing farmers’ adoption of social media for the purpose of agriculture knowledge exchange.

The purpose of this study is to determine the effect of board effectiveness (BE) on financial performance and operational risk (OR) disclosure and the interaction effect of a bank’s Sharia Supervisory Board quality (SSB) with religious and ethical principles.

The data were collected from the annual financial reports of 25 Islamic banks (IBs) in the Gulf Cooperation Council countries over 2008-2017. The OR disclosure, the SSB quality and BE were measured using self-developed indices. The Tawhidi string relation methodology was used to establish the circular causal model. The moderating effect of the SSB quality on the performance, OR disclosure and board structure relationship was examined using the hierarchical regression analysis.

The main finding of this study is related to the positive moderating effect of SSB quality on the relationship between performance, OR disclosure and BE. This result seems to indicate that at a high level of SSB quality, even when the performance increase the IBs engage in complying with OR disclosure to inform the stakeholders on the real situation of the bank.

The finding of this research would be of great support to stakeholders and policymakers to make more pressure on IBs to improve the quality of their SSB structure and show more compliance with the governance recommendations. As an extension to this research, further study can examine other Islamic governance mechanisms such as Sharīʿah-compliant banks.

The present study provides a new addition to the prior literature by investigating the relationship between performance, BE, OR disclosure and the interaction effect of SSB quality. From an Islamic ethical, this research can also contribute to the growing discussion on SSB quality and performance.

This study aims to gain new insight into how a set of maqasid-based consumption intelligence variables mediates exogenous variables (i.e. religiosity, Islamic university role and normative belief) and halal purchase intention as an endogenous variable.

The research model is empirically tested with a data set of 370 responses retrieved from the students of the millennial generation from the cross Islamic state university in Indonesia. Data were analysed with Partial Least Square Structural Equation Modelling (PLS-SEM). The sample size of this study is computed with preliminary power analysis.

The SEM finding revealed that two maqasid-based consumption intelligence variables had mediated the exogenous and endogenous variables, i.e. halal purchase intention. These variables mediating the exogenous and endogenous variables have explained 63.5 R² variances in halal purchase intention. Concerning individual impact size of cognition and motivation as a component of maqasid-based consumption intelligence has shown medium-level effect size (f²) in mediating the halal purchase intention. Interestingly, the exogenous variable does not directly affect halal purchase intention but must be mediated with maqasid-based consumption intelligence variables. However, before including variables of maqasid-based consumption intelligence, the R² was relatively small. It is just 30.4% in R² that explains the variance of halal purchase intention.

This study explores maqasid-based consumption intelligence as a relatively new model to explain the variable halal purchase intention. Therefore, it takes many types of exogenous variables to test how relevant maqasid-based consumption intelligence variables can define endogenous variables. Notwithstanding, this study does not do that because it only limits three exogenous variables (i.e. religiosity, Islamic university role and normative belief). Therefore, in further research, these limitations seem to be perfected by other scholars concerned about halal purchase intention.

The findings of this study allow Islamic universities to mainstream halal issues as a subject of learning, especially concerning consumption ethics. In addition, the empirical results of this study encourage the industry to pay attention to the essential components in determining the halal quality of the products offered because the millennial generation is now very aware of the importance of halal products.

This study contributes to the existing literature on halal purchase intention by testing maqasid-based consumption intelligence variables as mediators. Moreover, this is a pioneer study to consider and construct maqasid-based consumption intelligence as a model that explains halal purchase intention.

The purpose of this paper is to present the results of a research project undertaken by Prosentient Systems and partially funded by the ALIA 2007 research study grant. The focus of the project was a proof‐of‐concept implementation of a Smart Client application for digital archiving of e‐journal subscriptions held by special libraries.

This research comprised a survey of libraries in the area of electronic journal archiving and software development research. The quantitative survey was distributed to 254 member libraries of the GratisNet and GLASS special library networks in Australia. Seven questions explored current practice in e‐journal archiving. In total, 164 responses were received, of which only seven indicated current progress toward e‐journal archiving. Based on the survey results, the second phase of the project comprised software development research.

The research outcomes indicate that a cross‐platform “Smart Client” approach to e‐journal archiving is achievable and the presentation will review architectural design techniques that support cross‐platform deployment and simple installation using open source smart client tools.

The transition to e‐journal subscriptions has not been matched with attention to methods for local archiving of e‐journal subscriptions. This research demonstrates the feasibility of simple solutions suitable for special libraries to implement local e‐journal archives.

This research presents an innovative approach to e‐journal archiving for special libraries. The approach differs from current, peer‐to‐peer approach by implementing a central metadata server and a simple easy to deploy desktop archiving agent. Furthermore, limitations imposed by copyright restrictions are the principal impediment that libraries face in implementing e‐journal archives, and the centralised metadata approach can help libraries distinguish journals for which local archiving is allowed.

The LOCKSS digital preservation technology collects, preserves and disseminates content in peer-to-peer networks. Many such networks are in use. The Global LOCKSS Network (GLN) is an open network with many nodes in which libraries preserve academic journals and books that they purchase. The CLOCKSS network is a closed network, managed by a non-profit consortium of publishers and libraries to form a dark archive of e-journal content. There are also many Private LOCKSS Networks (PLNs) preserving various genres of content. Each of these networks is configured to meet the specific requirements of its community and the content it preserves. This paper seeks to address these issues.

This paper describes these architectural choices and discusses a development that could enable other configurations.

Third-party rights databases would allow hosted LOCKSS networks.

Hosted LOCKSS networks would be cheaper.

Reducing cost of digital preservation is important in a time of strained library budgets.

The purpose of this paper is to answer questions about LOCKSS (Lots of Copies Keep Stuff Safe) that have arisen in the context of the German National Hosting study.

The paper describes what the LOCKSS software can do and how the LOCKSS community is organized. The descriptions come from direct experience with LOCKSS and from comments by the developers.

LOCKSS offers a robust and cost‐effective mechanism to carry digital content undamaged into future centuries. It also offers a distributed network that is robust against natural, social, political or economic catastrophes at one or even several locations. Its financial and organizational philosophy avoids a single point of financial or administrative failure.

Regardless of which national hosting system is selected, the chosen system ought to have qualities similar to these.