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Fulltext FACTORS INFLUENCING CONSUMERS IN USING SHOPEE FOR ONLINE PURCHASE INTENTION IN EAST COAST MALAYSIA

KIEW CHEE CHING, ZUHA ROSUFILA ABU HASAN, NADIA ABU HASAN

UMT Journal of Undergraduate Research, 2021;3(1):45-56.
MyJurnal

Shopee online has become increasingly popular among consumers for purchasing purposes as compared to brick-and-mortar retail due to the benefits and enjoyment that come with it. However, Shopee has facing intense competitive challenges with other competitors in Malaysia. In addition, it is also difficult for Shopee to compete with major leader of online shopping portal although this platform offers the same function and usage as its contender. Hence, it is important to understand consumer perceptions on the benefit and intention of using Shopee. This study examines consumer perceived usefulness, perceived ease of use, perceived price, perceived convenience and perceived trust adapted from the Technology Acceptance Model (TAM). 208 respondents who have experience online purchasing in East Cost of Malaysia were invited to participate in this study using online survey. Data were analyzed using descriptive, correlation and multiple regression analyses. The findings show that perceived convenience and perceived trust have strong influence towards consumer intention to use Shopee as platform to do online purchase. It is suggested that this study will help practitioners to understand consumer online shopping perception and intention in order to induce visitation and usage of Shopee.

Matched MeSH terms: Trust
Fulltext CONSUMERS’ KNOWLEDGE, PERCEPTION, AND ATTITUDE TOWARDS NUTRITION AND HEALTH CLAIMS ON DAIRY PRODUCTS AND PURCHASE INTENTION IN JOHOR BAHRU

YAP HUI YEE, SITI NUR'AFIFAH JAAFAR

UMT Journal of Undergraduate Research, 2019;1(2):92-102.
MyJurnal

owadays the increasing prevalence of dietary disease has raised consumers’ awareness of healthy diet and lifestyle. The rise in the use of nutrition and health claims to promote health benefits in food products help consumers make effective food choices. There is very limited research regarding nutrition and health claims in Malaysia. This research focused on consumers’ knowledge, perception (i.e. perceived quality, perceived healthiness, perceived value, perceived importance, trust and perceived familiarity), and attitude towards nutrition and health claims on dairy products as well as their purchase intention towards the products, and examinethe relationship between these variables in Johor Bahru, Johor. All responses were collected by distributing questionnaire to convenience and quota sample (n=200). Data was analysed to obtain descriptive statistics and correlation analysis. The results showed that most of the consumers (46%) had moderate knowledge of nutrition and health claims on dairy products. Consumers generally had almost positive perception and attitude towards nutrition and health claims on dairy products and positive purchase intention towards dairy products. Almost all independent variables correlated with purchase intention towards dairy products. Consumer attitude had the strongest positive relationship with purchase intention (r=0.722), followed by moderate positive correlation between consumer perception and purchase intention (r=0.671), while consumer knowledge only had low relationship with purchase intention (r=0.299). This study added new knowledge regarding public purchasing behaviour towards dairy products with nutrition and health claims. This research also provided valuable information for both food manufacturers and companies to help them make effective decisions to improve the presentation of nutrition and health claims for better expression of information as well as the goodness of food products in order to attract the attention of health-conscious consumers.

Matched MeSH terms: Trust
Fulltext Trusted computing strengthens cloud authentication

Ghazizadeh E, Zamani M, Ab Manan JL, Alizadeh M

ScientificWorldJournal, 2014;2014:260187.
PMID: 24701149 DOI: 10.1155/2014/260187

Cloud computing is a new generation of technology which is designed to provide the commercial necessities, solve the IT management issues, and run the appropriate applications. Another entry on the list of cloud functions which has been handled internally is Identity Access Management (IAM). Companies encounter IAM as security challenges while adopting more technologies became apparent. Trust Multi-tenancy and trusted computing based on a Trusted Platform Module (TPM) are great technologies for solving the trust and security concerns in the cloud identity environment. Single sign-on (SSO) and OpenID have been released to solve security and privacy problems for cloud identity. This paper proposes the use of trusted computing, Federated Identity Management, and OpenID Web SSO to solve identity theft in the cloud. Besides, this proposed model has been simulated in .Net environment. Security analyzing, simulation, and BLP confidential model are three ways to evaluate and analyze our proposed model.

Matched MeSH terms: Trust*
Trust in physician among patients with type 2 diabetes mellitus in Luyang Health Clinic, Sabah and its association with treatment adherence and glycaemic control

Flecia K, Mohd FA

Med J Malaysia, 2023 May;78(3):329-335.
PMID: 37271842

INTRODUCTION: A patient's trust in their physician is associated with their self-reported health outcome. However, the relationship between trust in physician with therapeutic and health outcome has not been adequately explored. Therefore, this study aims to assess the level of trust in physician among type 2 diabetes mellitus patients and its association with treatment adherence and glycaemic control.
MATERIALS AND METHODS: A cross-sectional study was conducted in Luyang Health Clinic from 1st June 2020 to 3rd September 2020. A self-interviewed questionnaire comprises of three sections; sociodemographic, Wake Forest Physician Trust Scale (WFS) and Adherence to Refills and Medications Scale (ARMS) was completed by 281 respondents. Glycaemic control is based on the latest Hba1c profile of the respondents. Descriptive and nonparametric bivariate analysis were performed using IBM SPSS version 26.
RESULTS: The median (IQR) level of trust in physician was 43(8) out of a possible score range of 10 to 50. Trust in physician was correlated with treatment adherence (r=-0.12, p=0.048). There was no significant association between trust in physician with sociodemographic factors, which include age (p=0.33), gender (p=0.46), ethnicity (p=0.70), education level (p=0.50), and household income (p=0.37). Similarly, there was no significant association between the level of trust in physician with glycaemic control (p=0.709).
CONCLUSION: In conclusion, trust in physician was associated with treatment adherence but not with glycaemic control. In our local context, the glycaemic control could be due to other factors. Further studies should include a multicentre population to assess other potential factors that could contribute to glycaemic control.

Matched MeSH terms: Trust
Trust in Supervisor and Job Engagement: Mediating Effects of Psychological Safety and Felt Obligation

Basit AA

J Psychol, 2017 Nov 17;151(8):701-721.
PMID: 29043913 DOI: 10.1080/00223980.2017.1372350

In the social context of job engagement, the role of trust in supervisor in predicting engagement of employees has received attention in research. Very limited research, however, has investigated the mechanisms mediating this dynamic relationship. To address this important gap in knowledge, the aim of this study was to examine psychological safety and felt obligation as two psychological mechanisms mediating the effect of trust in supervisor on job engagement. Drawing from job engagement and social exchange theories, the mediating roles of psychological safety and felt obligation in the trust-engagement relationship were empirically investigated in the Malaysian context. Using self-report questionnaires, data were collected from 337 nurses employed in a public hospital located near Kuala Lumpur, Malaysia. Results fully supported the proposed serial multiple mediator model. Trust in supervisor was indirectly related to job engagement via psychological safety followed by felt obligation. This study provides empirical evidence that trust in supervisor makes employees feel psychologically safe to employ and express their selves in their job roles. This satisfaction of the psychological safety need is interpreted by employees as an important socioemotional benefit that, in turn, makes them feel obligated to pay back to their organization through their enhanced level of job engagement. Implications for theory and practice were discussed.

Matched MeSH terms: Trust*
Fulltext What Influences the Perceived Trust of a Voice-Enabled Smart Home System: An Empirical Study

Liu Y, Gan Y, Song Y, Liu J

Sensors (Basel), 2021 Mar 13;21(6).
PMID: 33805702 DOI: 10.3390/s21062037

Contemporarily, almost all the global IT giants have aimed at the smart home industry and made an active strategic business layout. As the early-stage and entry-level product of the voice-enabled smart home industry, the smart speakers have been going through rapid development and rising fierce market competition globally in recent years. China, one of the most populous and largest markets in the world, has tremendous business potential in the smart home industry. The market sales of smart speakers in China have gone through rapid growth in the past three years. However, the market penetration rate of related smart home devices and equipment still stays extremely low and far from mass adoption. Moreover, the market sales of smart speakers have also entered a significant slowdown and adjustment period since 2020. Chinese consumers have moved from early impulsive consumption to a rational consumption phase about this early-stage smart home product. Trust in the marketing field is considered an indispensable component of all business transactions, which plays a crucial role in adopting new technologies. This study explores the influencing factors of Chinese users' perceived trust in the voice-enabled smart home systems, uses structural equation modeling (SEM) to analyze the interaction mechanism between different variables, and establishes a perceived trust model through 475 valid samples. The model includes six variables: system quality, familiarity, subjective norm, technology optimism, perceived enjoyment, and perceived trust. The result shows that system quality is the essential influence factor that impacts all other variables and could significantly affect the perceived trust. Perceived enjoyment is the most direct influence variable affected by system quality, subjective norm, and technology optimism, and it positively affects the perceived trust in the end. The subjective norm is one of the most distinguishing variables for Chinese users, since China has a collectivist consumption culture. People always expect their behavior to meet social expectations and standards to avoid criticism and acquire social integration. Therefore, policy guidance, authoritative opinions, and people with important reference roles will significantly affect consumers' perceived trust and purchase intention. Familiarity and technology optimism are important influential factors that will have an indirect impact on the perceived trust. The related results of this study can help designers, practitioners, and researchers of the smart home industry produce products and services with higher perceived trust to improve consumers' adoption and acceptance so that the market penetration rate of related products and enterprises could be increased, and the maturity and development of the voice-enabled smart home industry could be promoted.

Matched MeSH terms: Trust
Fulltext Secure Trust-Based Blockchain Architecture to Prevent Attacks in VANET

Khan AS, Balan K, Javed Y, Tarmizi S, Abdullah J

Sensors (Basel), 2019 Nov 14;19(22).
PMID: 31739437 DOI: 10.3390/s19224954

Vehicular ad hoc networks (VANET) are also known as intelligent transportation systems. VANET ensures timely and accurate communications between vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) to improve road safety and enhance the efficiency of traffic flow. Due to its open wireless boundary and high mobility, VANET is vulnerable to malicious nodes that could gain access into the network and carry out serious medium access control (MAC) layer threats, such as denial of service (DoS) attacks, data modification attacks, impersonation attacks, Sybil attacks, and replay attacks. This could affect the network security and privacy, causing harm to the information exchange within the network by genuine nodes and increase fatal impacts on the road. Therefore, a novel secure trust-based architecture that utilizes blockchain technology has been proposed to increase security and privacy to mitigate the aforementioned MAC layer attacks. A series of experiment has been conducted using the Veins simulation tool to assess the performance of the proposed solution in the terms of packet delivery ratio (PDR), end-to-end delay, packet loss, transmission overhead, and computational cost.

Matched MeSH terms: Trust
Fulltext A Trusted Reputation Management Scheme for Cross-Chain Transactions

Chen K, Lee LF, Chiu W, Su C, Yeh KH, Chao HC

Sensors (Basel), 2023 Jun 29;23(13).
PMID: 37447883 DOI: 10.3390/s23136033

Blockchain has become a well-known, secured, decentralized datastore in many domains, including medical, industrial, and especially the financial field. However, to meet the requirements of different fields, platforms that are built on blockchain technology must provide functions and characteristics with a wide variety of options. Although they may share similar technology at the fundamental level, the differences among them make data or transaction exchange challenging. Cross-chain transactions have become a commonly utilized function, while at the same time, some have pointed out its security loopholes. It is evident that a secure transaction scheme is desperately needed. However, what about those nodes that do not behave? It is clear that not only a secure transaction scheme is necessary, but also a system that can gradually eliminate malicious players is of dire need. At the same time, integrating different blockchain systems can be difficult due to their independent architectures, and cross-chain transactions can be at risk if malicious attackers try to control the nodes in the cross-chain system. In this paper, we propose a dynamic reputation management scheme based on the past transaction behaviors of nodes. These behaviors serve as the basis for evaluating a node's reputation to support the decision on malicious behavior and enable the system to intercept it in a timely manner. Furthermore, to establish a reputation index with high precision and flexibility, we integrate Particle Swarm Optimization (PSO) into our proposed scheme. This allows our system to meet the needs of a wide variety of blockchain platforms. Overall, the article highlights the importance of securing cross-chain transactions and proposes a method to prevent misbehavior by evaluating and managing node reputation.

Matched MeSH terms: Trust*
Fulltext Blood biomarkers of Hikikomori, a severe social withdrawal syndrome

Hayakawa K, Kato TA, Watabe M, Teo AR, Horikawa H, Kuwano N, et al.

Sci Rep, 2018 02 13;8(1):2884.
PMID: 29440704 DOI: 10.1038/s41598-018-21260-w

Hikikomori, a severe form of social withdrawal syndrome, is a growing social issue in Japan and internationally. The pathophysiology of hikikomori has not yet been elucidated and an effective treatment remains to be established. Recently, we revealed that avoidant personality disorder is the most common comorbidity of hikikomori. Thus, we have postulated that avoidant personality is the personality underpinning hikikomori. First, we herein show relationships between avoidant personality traits, blood biomarkers, hikikomori-related psychological features, and behavioural characteristics assessed by a trust game in non-hikikomori volunteers. Avoidant personality traits were negatively associated with high-density lipoprotein cholesterol (HDL-C) and uric acid (UA) in men, and positively associated with fibrin degeneration products (FDP) and high sensitivity C-reactive protein (hsCRP) in women. Next, we recruited actual individuals with hikikomori, and compared avoidant personality traits, blood biomarkers, and psychological features between individuals with hikikomori and age-matched healthy controls. Individuals with hikikomori had higher avoidant personality scores in both sexes, and showed lower serum UA levels in men and lower HDL-C levels in women compared with healthy controls. This is the first report showing possible blood biomarkers for hikikomori, and opens the door to clarify the underlying biological pathophysiology of hikikomori.

Matched MeSH terms: Trust
Factors influencing stakeholders attitudes toward genetically modified aedes mosquito

Amin L, Hashim H

Sci Eng Ethics, 2015 Jun;21(3):655-81.
PMID: 24906652 DOI: 10.1007/s11948-014-9557-5

Dengue fever is a debilitating and infectious disease that could be life-threatening. It is caused by the dengue virus which affects millions of people in the tropical area. Currently, there is no cure for the disease as there is no vaccine available. Thus, prevention of the vector population using conventional methods is by far the main strategy but has been found ineffective. A genetically modified (GM) mosquito is among the favoured alternatives to curb dengue fever in Malaysia. Past studies have shown that development and diffusion of gene technology products depends heavily upon public acceptance. The purpose of this study is to identify the relevant factors influencing stakeholders' attitudes toward the GM Aedes mosquito and to analyse the relationships between all the factors using the structural equation model. A survey was carried out on 509 respondents from various stakeholder groups in the Klang Valley region of Malaysia. Results of the survey have confirmed that public perception towards complex issues such as gene technology should be seen as a multi-faceted process. The perceived benefit-perceived risk balance is very important in determining the most predominant predictor of attitudes toward a GM mosquito. In this study the stakeholders perceived the benefit of the GM mosquito as outweighing its risk, translating perceived benefit as the most important direct predictor of attitudes toward the GM mosquito. Trust in key players has a direct influence on attitudes toward the GM mosquito while moral concern exhibited an indirect influence through perceived benefits. Other factors such as attitudes toward technology and nature were also indirect predictors of attitudes toward the GM mosquito while religiosity and engagement did not exhibited any significant roles. The research findings serve as a useful database to understand public acceptance and the social construct of public attitudes towards the GM mosquito to combat dengue.

Matched MeSH terms: Trust
Fulltext Relationship between trusting behaviors and psychometrics associated with social network and depression among young generation: a pilot study

Watabe M, Kato TA, Teo AR, Horikawa H, Tateno M, Hayakawa K, et al.

PLoS One, 2015;10(3):e0120183.
PMID: 25836972 DOI: 10.1371/journal.pone.0120183

Maladaptive social interaction and its related psychopathology have been highlighted in psychiatry especially among younger generations. In Japan, novel expressive forms of psychiatric phenomena such as "modern-type depression" and "hikikomori" (a syndrome of severe social withdrawal lasting for at least six months) have been reported especially among young people. Economic games such as the trust game have been utilized to evaluate real-world interpersonal relationships as a novel candidate for psychiatric evaluations. To investigate the relationship between trusting behaviors and various psychometric scales, we conducted a trust game experiment with eighty-one Japanese university students as a pilot study. Participants made a risky financial decision about whether to trust each of 40 photographed partners. Participants then answered a set of questionnaires with seven scales including the Lubben Social Network Scale (LSNS)-6 and the Patient Health Questionnaire (PHQ)-9. Consistent with previous research, male participants trusted partners more than female participants. Regression analysis revealed that LSNS-family (perceived support from family) for male participants, and item 8 of PHQ-9 (subjective agitation and/or retardation) for female participants were associated with participants' trusting behaviors. Consistent with claims by social scientists, our data suggest that, for males, support from family was negatively associated with cooperative behavior toward non-family members. Females with higher subjective agitation (and/or retardation) gave less money toward males and high attractive females, but not toward low attractive females in interpersonal relationships. We believe that our data indicate the possible impact of economic games in psychiatric research and clinical practice, and validation in clinical samples including modern-type depression and hikikomori should be investigated.

Matched MeSH terms: Trust*
Fulltext Revisiting the Measurement of Anomie

Teymoori A, Jetten J, Bastian B, Ariyanto A, Autin F, Ayub N, et al.

PLoS One, 2016;11(7):e0158370.
PMID: 27383133 DOI: 10.1371/journal.pone.0158370

Sociologists coined the term "anomie" to describe societies that are characterized by disintegration and deregulation. Extending beyond conceptualizations of anomie that conflate the measurements of anomie as 'a state of society' and as a 'state of mind', we disentangle these conceptualizations and develop an analysis and measure of this phenomenon focusing on anomie as a perception of the 'state of society'. We propose that anomie encompasses two dimensions: a perceived breakdown in social fabric (i.e., disintegration as lack of trust and erosion of moral standards) and a perceived breakdown in leadership (i.e., deregulation as lack of legitimacy and effectiveness of leadership). Across six studies we present evidence for the validity of the new measure, the Perception of Anomie Scale (PAS). Studies 1a and 1b provide evidence for the proposed factor structure and internal consistency of PAS. Studies 2a-c provide evidence of convergent and discriminant validity. Finally, assessing PAS in 28 countries, we show that PAS correlates with national indicators of societal functioning and that PAS predicts national identification and well-being (Studies 3a & 3b). The broader implications of the anomie construct for the study of group processes are discussed.

Matched MeSH terms: Trust*
Fulltext What do men want from a health screening mobile app? A qualitative study

Teo CH, Ng CJ, White A

PLoS One, 2017;12(1):e0169435.
PMID: 28060953 DOI: 10.1371/journal.pone.0169435

There is a lack of mobile app which aims to improve health screening uptake developed for men. As part of the study to develop an effective mobile app to increase health screening uptake in men, we conducted a needs assessment to find out what do men want from a health screening mobile app. In-depth interviews and focus group discussions were conducted with 31 men from a banking institution in Kuala Lumpur. The participants were purposely sampled according to their job position, age, ethnicity and screening status. The recruitment was stopped once data saturation was achieved. The audio-recorded interviews were transcribed verbatim and analyzed using thematic approach. Three themes emerged from the analysis and they were: content, feature and dissemination. In terms of the content, men wanted the app to provide information regarding health screening and functions that can assess their health; which must be personalized to them and are trustable. The app must have user-friendly features in terms of information delivery, ease of use, attention allocation and social connectivity. For dissemination, men proposed that advertisements, recommendations by health professionals, providing incentive and integrating the app as into existing systems may help to increase the dissemination of the app. This study identified important factors that need to be considered when developing a mobile app to improve health screening uptake. Future studies on mobile app development should elicit users' preference and need in terms of its content, features and dissemination strategies to improve the acceptability and the chance of successful implementation.

Matched MeSH terms: Trust
Fulltext The adoption of cryptocurrency as a disruptive force: Deep learning-based dual stage structural equation modelling and artificial neural network analysis

Abbasi GA, Tiew LY, Tang J, Goh YN, Thurasamy R

PLoS One, 2021;16(3):e0247582.
PMID: 33684120 DOI: 10.1371/journal.pone.0247582

In recent years, the growth of cryptocurrency has undergone an enormous increase in cryptocurrency markets all around the world. Sadly, only insignificant heed has been paid to the unveiling of determinants of cryptocurrency adoption globally, particularly in emerging markets like Malaysia. The purpose of the study is to examine whether the application of deep learning-based dual-stage Partial Least Square-Structural Equation Modelling (PLS-SEM) & Artificial Neural Network (ANN) analysis enable better in-depth research results as compared to single-step PLS-SEM approach and to excavate factors which can predict behavioural intention to adopt cryptocurrency. The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model were extended with the inclusion of trust and personnel innovativeness. The model was further validated by introducing a new path model compared to the original UTAUT2 model and the moderating role of personal innovativeness between performance expectancy and price value, with a sample of 314 respondents. Contrary to previous technology adoption studies that used PLS-SEM & ANN as single-stage analysis, this study further enhanced the analysis by applying a deep learning-based dual-stage PLS-SEM and ANN method. The application of deep learning-based dual-stage PLS-SEM & ANN analysis is a novel methodological approach, detecting both linear and non-linear associations among constructs. At the same time, it is regarded as a superior statistical approach as compared to traditional hybrid shallow SEM & ANN single-stage analysis. Also, sensitivity analysis provides normalised importance using multi-layer perceptron with the feed-forward-back-propagation algorithm. Furthermore, the deep learning-based dual-stage PLS-SEM & ANN revealed that trust proved to be the strongest predictor in driving user intention. The introduction of this new methodology and the theoretical contribution opens the vistas of the extant body of knowledge in technology-adoption related literature. This study also provides theoretical, practical and methodological contributions.

Matched MeSH terms: Trust
Fulltext Trust predicts COVID-19 prescribed and discretionary behavioral intentions in 23 countries

Pagliaro S, Sacchi S, Pacilli MG, Brambilla M, Lionetti F, Bettache K, et al.

PLoS One, 2021;16(3):e0248334.
PMID: 33690672 DOI: 10.1371/journal.pone.0248334

The worldwide spread of a new coronavirus (SARS-CoV-2) since December 2019 has posed a severe threat to individuals' well-being. While the world at large is waiting that the released vaccines immunize most citizens, public health experts suggest that, in the meantime, it is only through behavior change that the spread of COVID-19 can be controlled. Importantly, the required behaviors are aimed not only at safeguarding one's own health. Instead, individuals are asked to adapt their behaviors to protect the community at large. This raises the question of which social concerns and moral principles make people willing to do so. We considered in 23 countries (N = 6948) individuals' willingness to engage in prescribed and discretionary behaviors, as well as country-level and individual-level factors that might drive such behavioral intentions. Results from multilevel multiple regressions, with country as the nesting variable, showed that publicized number of infections were not significantly related to individual intentions to comply with the prescribed measures and intentions to engage in discretionary prosocial behaviors. Instead, psychological differences in terms of trust in government, citizens, and in particular toward science predicted individuals' behavioral intentions across countries. The more people endorsed moral principles of fairness and care (vs. loyalty and authority), the more they were inclined to report trust in science, which, in turn, statistically predicted prescribed and discretionary behavioral intentions. Results have implications for the type of intervention and public communication strategies that should be most effective to induce the behavioral changes that are needed to control the COVID-19 outbreak.

Matched MeSH terms: Trust/psychology*
Fulltext T-DepExp: simulating transitive dependence based coalition formation

Ashutosh, Kumar Singh, Billy, Pik Lik Lau, Terence, Peng Lian Tan

Pertanika Journal of Science & Technology, 2015;23(1):105-117.
MyJurnal

In this paper, we introduce T-DepExp system to simulate the transitive dependence based coalition formation (CF). It is a multi-agent based simulation (MABS) tool that aims to enhance cooperation between agents through transitive dependence. Previously, the transitive dependence was introduced by An and his colleagues for expressing the indirect dependence between agents in their cooperation. However, it did not receive much attention. Although it has a few problems need to be addressed, we try to propose our own mechanism to increase the efficiency of the transitive dependence based CF. To simulate MAS dependence relationship, we have included two fundamental dependence relationships in this MABS tool, which are AND-Dependence and OR-Dependence. In addition, the architecture of the T-DepExp system is presented and discussed. It allows possible integration of other features such as budget mechanism and trust model. Subsequently, hypothesis for the experiments and experimental setup are explained. The overall system will be demonstrated for its functionality and the experimental results will also be discussed.

Matched MeSH terms: Trust
Fulltext State-of-the-art IoV trust management a meta-synthesis systematic literature review (SLR)

Rehman A, Hassan MF, Yew KH, Paputungan I, Tran DC

PeerJ Comput Sci, 2020;6:e334.
PMID: 33816982 DOI: 10.7717/peerj-cs.334

In the near future, the Internet of Vehicles (IoV) is foreseen to become an inviolable part of smart cities. The integration of vehicular ad hoc networks (VANETs) into the IoV is being driven by the advent of the Internet of Things (IoT) and high-speed communication. However, both the technological and non-technical elements of IoV need to be standardized prior to deployment on the road. This study focuses on trust management (TM) in the IoV/VANETs/ITS (intelligent transport system). Trust has always been important in vehicular networks to ensure safety. A variety of techniques for TM and evaluation have been proposed over the years, yet few comprehensive studies that lay the foundation for the development of a "standard" for TM in IoV have been reported. The motivation behind this study is to examine all the TM models available for vehicular networks to bring together all the techniques from previous studies in this review. The study was carried out using a systematic method in which 31 papers out of 256 research publications were screened. An in-depth analysis of all the TM models was conducted and the strengths and weaknesses of each are highlighted. Considering that solutions based on AI are necessary to meet the requirements of a smart city, our second objective is to analyze the implications of incorporating an AI method based on "context awareness" in a vehicular network. It is evident from mobile ad hoc networks (MANETs) that there is potential for context awareness in ad hoc networks. The findings are expected to contribute significantly to the future formulation of IoVITS standards. In addition, gray areas and open questions for new research dimensions are highlighted.

Matched MeSH terms: Trust
Fulltext Stakeholders' attitudes to outdoor residual spraying technique for dengue control in Malaysia: A PLS-SEM approach

Arham AF, Amin L, Mustapa MAC, Mahadi Z, Yaacob M, Ibrahim M

PLoS Negl Trop Dis, 2021 Jun;15(6):e0009493.
PMID: 34185785 DOI: 10.1371/journal.pntd.0009493

Outdoor Residual Spraying (ORS) technique is a complementary preventive measure for dengue. The alarming number of dengue cases in Malaysia requires an alternative method to control dengue besides the traditional method such as fogging. However, the introduction of new technologies depends on social acceptance. Therefore, this study was important to determine the factors that influence stakeholders' attitudes towards the ORS and the moderating factor. A validated instrument was used to randomly interview 399 respondents representing two stakeholder groups which consist of scientists, and the public in Klang Valley, Malaysia. The findings revealed that the stakeholders claimed to have a high degree of religiosity, a high level of trust in the key players, perceived ORS as having high benefits, and displayed highly positive attitudes towards the ORS. The attitudes model towards the ORS model was developed using the SmartPLS software version. The perceived benefit was endorsed as the most important direct predictor of attitudes towards the ORS (ß = 0.618, P<0.001), followed by trust in the key players (ß = 0.151, P<0.001). It is also interesting to note that religiosity served as a moderator for the association between perceived benefit (ß = 0.075, P = 0.024) and perceived risk (ß = 0.114, P = 0.006) with attitudes towards the ORS. The identified predictor factors of stakeholders' attitudes toward the ORS and the moderating factor can serve as indicators for social acceptance of ORS in developing countries. These indicators can help the policymakers in decision making to implement this technique.

Matched MeSH terms: Trust
Fulltext Should doctors apologize and disclose medical errors?

Aimi Nadia Mohd Yusof

Medical Health Reviews, 2009;2009(2):5-16.
MyJurnal

No vaccination is available to provide doctors with the immunity from errors and mistakes. Humans make mistakes everyday and eventually doctors will make mistakes or errors during their practice. Therefore, knowing how to handle the mistakes is crucial in improving patient safety and management. Disclosure of errors can be argued to play a significant role in respecting the patients’ rights and interest. We need to know that in a doctor-patient relationship, trust and vulnerability exist. If errors occur and doctors try to keep patients away from the truth, patients may no longer maintain their trust and this could lead to a negative turn in the relationship. Moreover, if errors are disclosed, doctors then may face a legal and ethical dilemma on whether to apologize for the errors made. This issue of apology has created debates among health professionals and lawyers in searching for the best answer. Apology can be a powerful tool to reconcile relationships but at the same time can also be a tool of deception.

Matched MeSH terms: Trust
Fulltext Trust in Nurse Scale Developed on the Basis of the Standardized Trust in Physician Scale by Anderson and Dedrick

Krajewska-Kułak E, Kułak W, Cybulski M, Kowalczuk K, Guzowski A, Łukaszuk C, et al.

Mater Sociomed, 2019 Mar;31(1):57-61.
PMID: 31213958 DOI: 10.5455/msm.2019.31.57-61

Introduction: Nursing care is one of the most important areas of health services, taking place in direct contact with the patient, constituting a subsystem deciding about the general level of services.
Aim: The aim of the study was to construct the Trust in Nurse Scale on the basis of the standardized Trust in Physician Scale by Anderson and Dedrick.
Methods: The study included a group of 1,200 people selected at random, 600 each from surgical and medical treatment wards. Patients did not report any problems with understanding the statements on the scale.
Results: The internal accuracy scores were excellent, all Cronbach's a values were well above 0.70. The Spearman's rank correlation coefficient values were highly statistically significant (p <0.001), and correlation strength was very high (for most items rs > 0.90).
Conclusion: We suggest that The Trust in Nurse Scale, developed on the basis of the standardized Trust in Physician Scale by Anderson and Dedrick, can be used in studies on patient satisfaction with nursing care.

Matched MeSH terms: Trust

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