Trust Issues Research Articles

Impact of blockchain technology on information disclosure of competing platforms

The information regarding agricultural products is crucial to consumers. Blockchain technology theoretically offers a solution to the trust issues surrounding agricultural products by ensuring the credibility of information sources, facilitating trust transmission, and improving information management. Consequently, information plays a pivotal role in consumers’ purchasing decisions. This paper investigates strategies for adopting blockchain technology within an agricultural supply chain comprising two competing platforms. Additionally, it analyzes the level of consumer trust in disclosed information and the influence of blockchain adoption costs on strategy implementation.

Examining Trust Issues in Romantic Relationships: The Interplay between Anxious and Avoidant Attachment Styles

Examining Trust Issues in Romantic Relationships: The Interplay between Anxious and Avoidant Attachment Styles

Unending War: Combat Trauma in Joss Whedon’s "Firefly"

The article discusses the long-term effects of combat trauma as portrayed in Joss Whedon’s Firefly series, focusing on the issues of trust, identity, and belonging. In doing so, it highlights the image of warrior and war in popular culture.

Consumer Behavior Analysis: Factors that Influence Online Buying Decisions

Online shopping’s rise in popularity in Nepal is due to its multiple advantages like 24/7 availability, ease of use, and extensive product options. However, this comes with certain risks including financial loss and security concerns. This study, drawing from contemporary literature and data from 385 respondents from varied backgrounds, aims to identify these risks and psychological factors that affect buying decisions. Key findings indicate a notable influence of financial risks, while delivery and trust issues have a moderate impact, suggesting that e-retailers should focus on addressing these aspects to bolster online sales.

FINTECH FOR SDGS: DRIVING ECONOMIC DEVELOPMENT THROUGH FINANCIAL INNOVATION

This research delves into the pivotal role of Financial Technology (FinTech) in advancing the financial sector, sustainable development, and financial inclusion. Employing a descriptive-qualitative approach and the systematic literature review (SLR) method, the study investigates FinTech's interplay with Sustainable Development, Financial Inclusion, and Economic Development globally. A meticulous Scopus search utilizing keywords like "Fintech," "SDGs," "Financial Inclusion," and "Economic Development" ensures a thorough review of pertinent literature. The results underscore FinTech's substantial impact on Sustainable Development, Financial Inclusion, and Economic Development, acting as a crucial catalyst for financial inclusion and mediating sustainable growth through financial literacy. Furthermore, FinTech exhibits the potential to underpin sustainable economic growth, financial inclusion, and Economic Development by enhancing financial service accessibility, reducing poverty, and fostering gender equality. Challenges persist, particularly in the Pacific region, where issues of accessibility, awareness, literacy, and trust impede FinTech adoption. The study advocates for awareness campaigns, financial education, and infrastructure development to surmount these obstacles. In conclusion, while FinTech significantly influences financial inclusion and economic growth, its broader impact on Sustainable Development, Financial Inclusion, and Economic Development necessitates careful consideration. The research emphasizes the imperative for interdisciplinary collaboration, global cooperation, and vigilant strategies to address challenges and leverage opportunities arising from the rapid integration of digital financial services for inclusive and sustainable Economic Development.

Review of lithium-ion, fuel cell, sodium-beta, nickel-based and metal-air battery technologies used in electric vehicles

Interest in electric vehicles (EV) or hybrid electric vehicles (HEV) is increasing day by day. These vehicles have many advantages as they operate more efficiently and do not cause noise or environmental pollution compared with conventional vehicles. However, it has some disadvantages. For some, it is the most important trust issue. An important criterion is that the daily vehicle cannot go to a sufficient range. Therefore, vehicle designs and applications continue to be made with high energy and power distribution, low performance, and high efficiency ESSs using two or more energy storage systems (ESS). In addition, lithium-ion batteries are widely used in EVs and HEVs. Although they have high power and energy estimations, their high duration, short freezing life or service life, and insufficient efficiency are the guides for executing different alternative solutions. The aim of this article is to create a different perspective by including unusual battery types and fuel consumption technology known as clean energy sources. The Zero Emlu Battery Research (ZEBRA) battery, which is seen as a future technology in EVs and HEVs in this article, features such as the operating principle of the nickel-based battery structure (Nickel-Cadmium, Nickel-Iron, Nickel-Zinc), operating temperature ranges, cycle lifetimes, and service lives. In addition to the lithium-air battery, which is a metal-air battery technology and is seen as a source of hope with its high energy densities in the future, it is also included. Comparisons between these batteries were made, and their applicability in HEVs and EVs was examined.

UNVEILING CONSUMER SENTIMENTS: A STUDY ON FACTORS IMPACTING ONLINE GROCERY AVOIDANCE IN VIJAYAWADA

This research explores the intricate landscape of online grocery shopping, drawing insights from a sample of 100 respondents with diverse demographic characteristics. Through a Likert scale analysis, the study delves into the attitudes, preferences, and concerns that shape individuals' decisions to abstain from online grocery purchases. Findings reveal a nuanced landscape, with respondents expressing strong preferences for hands-on grocery selection and enjoyment of traditional shopping experiences. Trust issues with online vendors and apprehensions about privacy and security emerge as key considerations. The study uncovers the top five drivers of grocery shopping preferences and underscores the robust reliability of the Likert scale employed. In sum, this research contributes valuable insights for both academic research and practical decision-making in the realm of online grocery shopping. KEYWORDS: Online shopping, ecommerce, Factors, barriers, influencing, grocery, Vijayawada.

BETWEEN DOCUMENTARY AND POST-DOCUMENTARY: SEARCH VECTORS OF CONTEMPORARY UKRAINIAN DRAMA

The article discusses modern dramaturgical strategies, which consist in creating a transformative field by means of documentary/post-documentary. The purpose of the article is to demonstrate the search vectors of contemporary Ukrainian drama in the context of the connection between documentary and post-documentary aesthetics. "Post-documentary" becomes such a feature of liminal aesthetics, which manifests itself in its performative, active orientation to the understanding of reality through the document. The main features of post-documentary theater, identified by researchers, are the ability to bring to the fore the subject of the action, which records its own states "here and now" and turns the text into a performative event. With such an artistic strategy, the author realizes an approach to true reality, "preserves" the moment of creation, the fluid phase of "here and now", a unique moment that is valuable for its true imperfection. For a dramatic text, this can be realized in the inclusion of autobiographical material, in the metagenres of diary, notebook, letter, etc., and through the embodiment of a "draft aesthetic". "Draft aesthetics" is a contemporary strategy of "non-finito" as a type of artistic thinking and demonstrates conditional imperfection, incompleteness of the text, an open form that captures the variability, uniqueness, confusion of the subject's state of consciousness and realizes the performative nature of the dramatic text. The fixation of facts, characteristic of a document, becomes in the documentary a fixation of temporary fluid states of the character in the interpretation of events (past or present) in order to preserve and remember this liminal state. In contemporary Ukrainian drama, a field of frontier between documentary and post-documentary is being formed: playwrights, directors, drama and theater researchers raise issues of trust in the document, look for ways to find contemporary attitudes, artistic methods and techniques that would reflect the "truth of the fact", raise questions of artistic ethics regarding involvement of documentary sources. The crisis of the documentary is realized as a means of salvation in the post-documentary: playwrights embody for the recipient the maximum approximation to reality, which reflects the document as an object of artistic research.

On the study of factors of fake news perception by mass audience (case study of student youth)

The article deals with the problem of perception of false (fake) information by mass audience, especially by students. Fake information today is similar to viruses that instantly "infect" the mass of recipients. A separate category of fake information is fake news, the worst consequence of which is real actions of people based on unreliable information that does not correspond to the facts of objective reality. Students are an active social group and the main consumers of information of social networks where fakes are mainly circulated. Fake news is a product of the post-truth era, characterized by the state of society when the truth becomes those facts and situations that the public believes in. The paper analyses the socio-psychological factors that influence the perception of fake information by student youth. Authors highlights the following socio-psychological factors: social attitudes, cognitive distortions, trust issues and emotional intelligence. The structure of social attitudes is considered and the conclusion is made on the basis of cognitive theories that fake news influencing the affective component of social attitudes changes these attitudes. Cognitive distortions such as the Dunning-Kruger effect, affect heuristics, and confirmation bias play a significant role in this process. The authors conclude that the low level of trust actualizes the problem of trust fake news in Russian society. Authers found that students believe false information more than true information, they are unable to distinguish deception. They use the intuition when try to understand if the information is fake. Emotional intelligence does not directly influence competence in recognizing fake news but influences criticality in assessing one's ability to recognize it. Further study of the issue should consider IQ and EQ indicators for developing scientific and practical recommendations to reduce trust in fake news.

TDLearning: Trusted Distributed Collaborative Learning Based on Blockchain Smart Contracts

Massive amounts of data drive the performance of deep learning models, but in practice, data resources are often highly dispersed and bound by data privacy and security concerns, making it difficult for multiple data sources to share their local data directly. Data resources are difficult to aggregate effectively, resulting in a lack of support for model training. How to collaborate between data sources in order to aggregate the value of data resources is therefore an important research question. However, existing distributed-collaborative-learning architectures still face serious challenges in collaborating between nodes that lack mutual trust, with security and trust issues seriously affecting the confidence and willingness of data sources to participate in collaboration. Blockchain technology provides trusted distributed storage and computing, and combining it with collaboration between data sources to build trusted distributed-collaborative-learning architectures is an extremely valuable research direction for application. We propose a trusted distributed-collaborative-learning mechanism based on blockchain smart contracts. Firstly, the mechanism uses blockchain smart contracts to define and encapsulate collaborative behaviours, relationships and norms between distributed collaborative nodes. Secondly, we propose a model-fusion method based on feature fusion, which replaces the direct sharing of local data resources with distributed-model collaborative training and organises distributed data resources for distributed collaboration to improve model performance. Finally, in order to verify the trustworthiness and usability of the proposed mechanism, on the one hand, we implement formal modelling and verification of the smart contract by using Coloured Petri Net and prove that the mechanism satisfies the expected trustworthiness properties by verifying the formal model of the smart contract associated with the mechanism. On the other hand, the model-fusion method based on feature fusion is evaluated in different datasets and collaboration scenarios, while a typical collaborative-learning case is implemented for a comprehensive analysis and validation of the mechanism. The experimental results show that the proposed mechanism can provide a trusted and fair collaboration infrastructure for distributed-collaboration nodes that lack mutual trust and organise decentralised data resources for collaborative model training to develop effective global models.

Examining students’ intention to use ChatGPT: Does trust matter?

Little knowledge is available on students’ attitudes and behavioural intentions towards using ChatGPT, a breakthrough innovation in recent times. This study bridges this gap by adding two relevant less-explored constructs (i.e., perceived enjoyment and perceived informativeness) to the technology acceptance model and illustrating the moderating effect of trust on the acceptance of ChatGPT. Data was collected from 344 private and public university students from Bangladesh, with the analysis done through structural equation modelling. The results highlight the significance of perceived usefulness, perceived ease of use and perceived informativeness in understanding students’ attitudes towards using ChatGPT for learning, which subsequently predicts their behavioural intention to use it. Interestingly, students’ level of enjoyment was triggered once the trust issue came into play, meaning perceived enjoyment had no substantial impact on attitude unless trust moderates the relationship between perceived enjoyment and attitude towards using ChatGPT. Implications for practice or policy Scholars can get first-hand insights into perceived enjoyment and perceived informativeness with perceived usefulness and perceived ease of use in the context of ChatGPT and education. Practitioners and educators can comprehensively understand the antecedents affecting students’ attitudes in line with their behavioural intention towards ChatGPT. Policymakers can design viable strategies to promote the ethical and sustainable usage of ChatGPT in education.

Access Control, Key Management, and Trust for Emerging Wireless Body Area Networks.

Wireless Body Area Networks (WBANs) are an emerging industrial technology for monitoring physiological data. These networks employ medical wearable and implanted biomedical sensors aimed at improving quality of life by providing body-oriented services through a variety of industrial sensing gadgets. The sensors collect vital data from the body and forward this information to other nodes for further services using short-range wireless communication technology. In this paper, we provide a multi-aspect review of recent advancements made in this field pertaining to cross-domain security, privacy, and trust issues. The aim is to present an overall review of WBAN research and projects based on applications, devices, and communication architecture. We examine current issues and challenges with WBAN communications and technologies, with the aim of providing insights for a future vision of remote healthcare systems. We specifically address the potential and shortcomings of various Wireless Body Area Network (WBAN) architectures and communication schemes that are proposed to maintain security, privacy, and trust within digital healthcare systems. Although current solutions and schemes aim to provide some level of security, several serious challenges remain that need to be understood and addressed. Our aim is to suggest future research directions for establishing best practices in protecting healthcare data. This includes monitoring, access control, key management, and trust management. The distinguishing feature of this survey is the combination of our review with a critical perspective on the future of WBANs.

Transforming Domestic Helper Recruitment and Management with Deep Learning : A Web Application

In our research, we tackle the challenge faced by families in finding reliable household workers like caretakers and gardeners. Many struggles with trust issues when hiring help for their homes. To address this, we've developed a secure web application. Users can connect with background- checked workers, ensuring the safety of their homes. The application consists of modules for different users - Admin, Worker, and User - each serving a specific purpose. What makes our app unique is the integration of Deep learning. The DL verifies uploaded images to ensure they are of human faces, enhancing security. Additionally, it checks the similarity of images of workers to maintain consistency and reliability in their profiles. By implementing these features, our web application aims to provide a trustworthy platform for households seeking reliable help, contributing to a safer and more secure hiring process.

The Use of Modern Technologies to Increase the Level of Trust in Society

One of the pressing issues of the modern world is the problem of trust in government. The election process is a pivotal event in society’s life, influencing a country’s future. Decreased trust in authority, including elections, leads to vulnerability in the voting and result tallying process. Simultaneously, the rapid advancement of information technology, automation, and computerization affecting almost all spheres of life, among other things, has a widespread impact on the functioning of government institutions. One of the key tasks addressed by new technologies is increasing trust levels in society. Blockchain technology, or distributed ledgers, has revolutionized the world of information technology and found applications in various domains, including the organization of elections at different levels. The use of blockchain technology in the electoral process can help address the trust issue by ensuring transparency, reliability, and confidentiality in voting, while minimizing the possibility of result tampering. In a blockchain-based system, voting can occur anonymously without intermediaries and intermediate technologies. This article examines the problem of trust in government institutions, highlights issues in the electoral process, presents a description of the blockchain technology-based solution, and provides examples of existing systems used during the electoral process. It concludes that the implementation of blockchain technology in the electoral process will ensure a more transparent and secure voting process, significantly increasing trust in authority.

Fear and trust in financial institutions

Financial institutions are pillars of the economy and play an important role in consumers’ daily lives. As such, trust between financial institutions and the consumers they serve is of paramount impor- tance. Using an online survey administered during the COVID-19 pandemic, this paper uses a qualitative content analysis methodology to explore consumer fear and trust in financial institutions. Stemming from fear of loss, three themes emerged: (1) history and experience, (2) perceived unfair practices/lack of knowledge of banking, and (3) general trust issues. Implications for financial institu- tions are presented based on these results.

Enhancement the Security by creating ontology-based Trust Management using Semantic Web tools

The most traditional policy models which do not consider dynamic nature of distribute systems and the limitation in addressing issues like adaptability, extensibility, and reasoning over security policies. The main cause of the flexibility and scalability issues in the environments of the Internet and dynamic networks is that there is no central control over the environments, and users are not predetermined. As a result, security and trust issues become critical in the various systems; enhancing the security of these environments would require adding trust to the existing security infrastructures. Few trust models have taken into account the semantic relationship for pervasive elements, despite the fact that numerous models have been proposed to address trust issues in dynamic environments; especially those who related to trust categories. In our work, we solve issues resulted from security and tracking the dynamics of participating communication devices in dynamic distributed networks. Through using ontology for trust management which it is define vocabularies used to described and represented an area of knowledge. For representation, we used semantic web's tools to represent the domain of the dynamic environment and we improv that the reasoning succusses in inference the trusted device and user exactly where we do query.

Enabling joint distribution with blockchain technology in last-mile logistics

Joint distribution is a crucial business model employed to improve courier delivery performance in last-mile logistics (LML). However, the moral hazard of the shared agent related to carrier selection impedes the model’s widespread adoption. Cutting-edge blockchain technology (BT) provides a new way out and allows us to propose a hybrid method by combining coordination contracts with BT. First, we theoretically analyze the behavior of participants in LML. Next, two-part tariff and revenue-sharing contracts are provided to overcome the double marginalization problems in a decentralized business model. Then, BT implementation makes the contracts dynamic and prevents moral hazards during the contract’s execution period. Finally, our method enables trust to be built in the joint distribution even with a relatively loose organizational structure (i.e., courier alliance) with the evidence of the proof-of-concept and numerical experiments. Moreover, the proposed method is highly relevant to the logistics industry and potentially solves a broader array of trust issues in operations and supply chain management.

Management of Community Resource Persons under National Rural Livelihood Mission with Reference to Bhopal District of Madhya Pradesh

The National Rural Livelihood Mission (NRLM) is a flagship program of the Ministry of Rural Development, Government of India, started in 2011 to reduce rural poverty by promoting livelihood opportunities and empowering women. Under NRLM, Community Resource Persons (CRPs) are appointed to facilitate the mobilization and organization of rural poor households into Self-Help Groups (SHGs) and their federations. The objective of this study is to assess the role of CRP management under NRLM in Bhopal district. This study is a primary study and conducted in Bhopal district with a sample size of 40 CRPs. The study developed a structured questionnaire and did pilot testing before final administering in the field. CRPs have a critical role in implementing programs at the grass root level. Initially, NRLM and various other organizations, tried to work with the unreached rural poor but faced several challenges, including trust issues; to tackle this issue, Community Resource Persons play a significant role in the community rapport building and institutionalize them. In Madhya Pradesh, the management of CRPs under NRLM is carried out by the Madhya Pradesh State Rural Livelihoods Mission (MPSRLM), which is responsible for implementing NRLM in the state. The SRLM has developed a comprehensive system for identification, selection, capacity building, task assignment, payment procedures and management of the activities of CRPs who are strengthening the community institutions like SHGs, Village Organizations (VOs) and Cluster Level Federations (CLFs). The findings of the study will help in enhancing the effectiveness of government initiatives, promotes sustainable development, and empowers communities to address their unique challenges.

“Lebih Banyak Dramanya Daripada Nyatanya”: Makna, Motif, dan Keberlanjutan Hubungan Pacaran Virtual di Twitter

In the era of digital technology, which is increasingly rapid and developing with the creation of various social media applications, this opens a space for people to get to know each other through these media without meeting in person and building an intimate relationship, known as virtual dating. This virtual dating has become a trend among social media account users and one of the most common social media that is used for virtual dating is Twitter. While the existing literatures related to virtual dating is focused more on how social media is used to find virtual partners, this article explores virtual dating to gain an understanding of the meaning, motives, and sustainability of virtual dating relationships through Twitter.
 This qualitative research was carried out using social media Twitter. Those who participated in this research were ten Twitter account users who have experience virtual dating. They are varied based on their initial place of meeting in the application with their virtual partners (via Twitter, Facebook, and Instagram, and online game Hago) and age (between 18 and 28). Data was collected using in-depth interview and observation techniques via Twitter.
 The study shows that the meaning of virtual dating is broadly categorised into two: positive and negative meanings. The positive meaning is not only related to expressing love like in conventional dating, but also virtual dating is meant as romantic relationship that trains one’s patience, loyalty, and independence. Virtual dating is interpreted negatively since it is considered as a wasting time relationship, is prone to being cheated, and is an ineffective relationship. The underlying motives for someone to have a virtual dating is classified into three, namely (1) interest (such as pampered with gifts by virtual friends and interesting typing style); (2) feelings {such as too carried away by the treatment of virtual friends and high curiosity (kepo) about virtual dating, feelings of insecurity, trust issues}; and (3) real life condition {such as feelings boredom (gabut), not having a circle of friends in the real world (nolep), and having strict parents}. The continuity of virtual dating varies from failed relationships to successful relationship. The former is marked by the end of a relationship (ghosting) due to lost contact, feelings of boredom, not having the effort to meet each other, and having high expectations to the partner. The latter means having a meeting in the real world, even to the point of getting marriage. It is argued in this article that while the feeling and expectation in virtual dating are relatively the same as in real life dating, the former is not real, not until the romantic couple is met in a real life.

Investigating risk of public–private partnerships (PPPs) for smart transportation infrastructure project development

PurposeThe purpose of this paper is to rank critical risks and determine major categories of risks to be considered by public–private partnerships (PPPs) investors when investing in “smart” transportation infrastructure. Such investment is sorely needed in many mega cities around the world currently suffering from serious impacts of traffic congestion, pollution and lack of usability of transport systems.Design/methodology/approachThe study used literature review focused upon smart transportation infrastructure projects financed by PPP arrangements to create a questionnaire which was refined by subject matter experts and then completed by 126 experienced respondents. Exploratory factor analysis was used to create major categories emerging from the collected data. Interviews with ten experts were used to validate the findings.FindingsThe most highly major ranked risks shared by these participants were lack of expertise in complex project implementation, political interference, lack of PPP project data and lack of a collaboration mechanism between government and private sectors. Factor analysis showed that in terms of risk likelihood, stakeholder engagement, implementation process issues, the natural environment, data-sharing and technology complexity emerged. In terms of risk impact, major factors were stakeholder engagement, trust versus resistance issues, the natural environment and factors concerning uncertainty.Originality/valueThis paper addresses a somewhat unexplored area, the risks involved in investing in PPP smart transportation infrastructure. Such infrastructure projects are embedded in their environments, and approaches using a complexity lens can emerge overriding risk concerns for investors when undertaking such projects.