Trust Information Research Articles

The information trust formation process for informal caregivers of people with dementia: a qualitative study

PurposeThis paper provides new insights on trust formation during information-seeking processes of informal caregivers of people with dementia and identifies the sources of information deemed as trustworthy by caregivers.Design/methodology/approachThe study adopts a phenomenological qualitative approach in the form of in-depth, semi-structured interviews with a sample of 20 informal caregivers.FindingsCaregivers trust sources that are perceived as authoritative and particularly value the information and advice provided by other caregivers. Trust in information can be divided into subjective and objective, but both are important precursors to the actual use of the information. The information available to caregivers is sufficient in quantity but inadequate in terms of ease of use, clarity and usefulness. Often, some key information needs remain unsatisfied due to the lack of timeliness, relevance and personalisation of the information.Practical implicationsThis paper provides recommendations for information and healthcare providers on how to improve communication and information relevance for informal caregivers of people with dementia.Originality/valueThis paper contributes to a more comprehensive perspective on caregivers’ information trust formation processes, which takes into account both the characteristics of the information and caregivers’ individual factors.

Ethidium Binding to Salmonella enterica ser. Typhimurium Cells and Salmon Sperm DNA.

Bacterial resistance to antibiotics due to increased efficiency of the efflux is a serious problem in clinics of infectious diseases. Knowledge of the factors affecting the activity of efflux pumps would help to find the solution. For this, fast and trustful methods for efflux analysis are needed. Here, we analyzed how the assay conditions affect the accumulation of efflux indicators ethidium (Et+) and tetraphenylphosphonium in Salmonella enterica ser. Typhimurium cells. An inhibitor phenylalanyl-arginyl-β-naphtylamide was applied to evaluate the input of RND family pumps into the total efflux. In parallel to spectrofluorimetric analysis, we used an electrochemical assessment of Et+ concentration. The results of our experiments indicated that Et+ fluorescence increases immediately after the penetration of this indicator into the cells. However, when cells bind a high amount of Et+, the intensity of the fluorescence reaches the saturation level and stops reacting to the accumulated amount of this indicator. For this reason, electrochemical measurements provide more trustful information about the efficiency of efflux when cells accumulate high amounts of Et+. Measurements of Et+ interaction with the purified DNA demonstrated that the affinity of this lipophilic cation to DNA depends on the medium composition. The capacity of DNA to bind Et+ considerably decreases in the presence of Mg2+, Polymyxin B or when DNA is incubated in high ionic strength media.

Research on System of Data Mining Technology Based on Computer

The existing implicit feedback collaborative algorithm directly uses sparse binary social trust information to assist recommendation, which has serious data sparse problems and does not have the influence of deep integration of social trust information. In response to the above problems, the paper proposes an algorithm that uses a denoising autoencoder to deeply integrate user implicit feedback data and social information. At the same time, a cloud computing-based social trust information data mining system architecture is constructed, and its modules are described. This framework is conducive to solving the problems of high data complexity and large amount of data encountered in current data mining, and can significantly improve the performance of data mining.

Customer’s digital advocacy: the impact of reviews and influencers in building trust for tourism and hospitality services

PurposeMarketers are focusing on the need for customer advocacy to influence other customers and drive consumption. The purpose of this paper is to explore whether online or digital advocacy influences customer decision-making related to the purchase of travel and tourism services. This paper will also identify the categories of influencers that stimulate purchase for travel and tourism. Influencers do want to know the kind of information customers are looking for.Design/methodology/approachThis paper is based on a primary survey of travelers to understand their degree of dependence on online reviews while making hospitality consumption-related decisions.FindingsThis paper looks at both influencer marketing and online reviews by consumers to understand consumption toward advocated brand. Influencers who are perceived as unbiased in their viewpoints are trending on social media. Consumers gain trust in reviews that disclose reviewer information, number of relevant reviews are present over a period and presence of both unbiased positive and negative recommendations related to the establishment and prices versus performance.Practical implicationsMarketers and influencers alike can gain from the factors influencing consumer trust toward online advocacy and reviewed information.Originality/valueResearch is relevant for all stakeholders as it highlights the fact that consumers are looking at online reviews and one does not have to be a famous personality to influence purchase. It is relevant for influencers, as it highlights reasons for trust and various information cues that consumers are looking for. Research also gives perspective to influencers to refine online strategy and gain trust of more followers.

Recommendation algorithm of probabilistic matrix factorization based on directed trust

This paper focuses on improving the performance of recommender systems by the use of social trust information. Probabilistic matrix factorization is a classic algorithm for recommender systems. However, both the rating matrix and trust matrix become sparser, which makes the recommended results inaccurate. We propose a hybrid method based on probabilistic matrix factorization and directed trust. First, we apply the probabilistic matrix factorization approach to break down the trust matrix. Thus, the potential preferences of users, considering trusters and trustees, are obtained. This approach alleviates the problem of the sparsity of the trust matrix. Second, to capture the trust relations among users, we modify undirected trust to directed trust, since a user has different preferences when he is treated as a truster or trustee. Last, the two algorithms are combined to predict ratings. Experiments involving two datasets show that the proposed algorithm is superior to existing benchmark algorithms.

Trust me, trust me not: A nuanced view of influencer marketing on social media

Social media influencers are widely employed as a marketing strategy as they successfully attain trust from followers. Applying the social exchange theory and its principle of reciprocity, this study investigated whether the source characteristics of an influencer (i.e., expertise, authenticity, physical attractiveness, homophily) can function as relational resources in the formation of follower trust. Whether followers’ trust in the influencer leads to their loyalty to the influencer and desirable marketing outcomes (i.e., product attitude, purchase intention) was also examined. Results revealed that trust mediated the impacts of expertise, authenticity, and homophily on loyalty and marketing outcomes. However, physical attractiveness was not significant in building relational trust. Also, the moderating role of relationship strength was confirmed in authenticity-trust and trust-loyalty linkages. The findings suggest implications for the strategic use of influencer marketing and provide a better understanding of persuasion mechanisms manifested in influencer-follower relationships.

A comparative analysis on risk communication between international and Chinese literature from the perspective of\xa0knowledge domain visualization

BackgroundThe outbreak of coronavirus disease (COVID-19) severely damaged and endangered people’s lives at the end of 2019. Risk communication plays an important role in the response to it successfully, which has been appreciated by the World Health Organization. Therefore, a comprehensive analysis of risk communication research is necessary, which can understand current research hotspots and reveal new trends.MethodsIn this study, we collected 1134 international articles from the Web of Science database and 3983 Chinese articles from the China National Knowledge Infrastructure database. Bibliometric and mapping knowledge domain analysis methods were used for temporal distribution analysis, cooperation network analysis, co-word network analysis, and burst detection analysis.ResultsThe first article in this field was published by western scholars earlier, while the first Chinese article in 2002. Research institutions mainly come from universities. The USA plays a key role in this field. Chinese scholars had a closer cooperation network, but there was less cooperation among domestic institutions. Risk perception, trust, risk management, and risk information had always been the research hotspots in this academic. Trust, sentiment research, and public risk events were essential directions for the future. There are 25 burst words for international articles, while 11 burst words for Chinese articles from 2000 to 2020.ConclusionsIn summary, both domestic and international researchers are concerned about risk communication, risk perception, trust, and risk information. International research on risk communication is systematic and comprehensive relatively. However, Chinese scholars take severe acute respiratory syndrome as the research background and reviewing foreign knowledge as the research starting point. With the purpose of practical and applied research based on a public emergency, the risk communication research lacks continuity in Chinese academy in the past years.

Does Foreign Language Proficiency Help to Enhance Sustainable Online Brand Community Experiences? Modeling the Predictors of Movie Information Sharing Behavior for Young Chinese Students Staying in Korea

Building upon studies on the information diffusion theory of a viral marketing survey, this study aims to understand the effect of young Chinese students’ online information sharing behavior on online brand community and determine the relationship among telepresence, flow-attention focus, flow-perceived enjoyment and electronic word-of-mouth depending on the level of the foreign students’ Korean language proficiency. Here, 178 valid data are obtained from an online survey of social networking service users who live in Korea and are experienced in using online movie brand communities. SmartPLS 2.0 is utilized to determine the relationship between variates. Statistical analysis shows that telepresence is applicable to the Chinese students’ online perceived enjoyment and attention focus, which both positively affect trust and movie information sharing behavior. Language proficiency has a significant moderation effect on the model. This study offers insights toward attaining a better understanding of online communication behaviors and establishing marketing strategies that are extendable to young Chinese students staying in Korea. This finding helps movie distributors to develop effective foreigner-inclined information diffusion strategies. This study contributes to the impact factor on consumer information sharing behavior and adds language proficiency as a moderator to determine consumer behavior.

Knowledge, Perceptions, and Preferred Information Sources Related to COVID-19 Among Central Pennsylvania Adults Early in the Pandemic: A Mixed Methods Cross-Sectional Survey.

To explore public knowledge, understanding of public health recommendations, perceptions, and trust in information sources related to COVID-19. A cross-sectional survey of central Pennsylvanian adults evaluated self-reported knowledge, and a convergent, mixed methods design was used to assess beliefs about recommendations, intended behaviors, perceptions, and concerns related to infectious disease risk, and trust of information sources. The survey was completed by 5,948 adults. The estimated probability of correct response for the basic knowledge score, weighted with confidence, was 0.79 (95% CI, 0.79-0.80). Knowledge was significantly higher in patients with higher education and nonminority race. While the majority of respondents reported that they believed following CDC recommendations would decrease the spread of COVID-19 in their community and intended to adhere to them, only 65.2% rated social isolation with the highest level of belief and adherence. The most trusted information source was federal public health websites (42.8%). Qualitative responses aligned with quantitative data and described concerns about illness, epidemiologic issues, economic and societal disruptions, and distrust of the executive branch's messaging. The survey was limited by a lack of minority representation, potential selection bias, and evolving COVID-19 information that may impact generalizability and interpretability. Knowledge about COVID-19 and intended adherence to behavioral recommendations were high. There was substantial distrust of the executive branch of the federal government, however, and concern about mixed messaging and information overload. These findings highlight the importance of consistent messaging from trusted sources that reaches diverse groups.

Information Privacy, Cultural Values, and Regulatory Preferences

The global nature of e-commerce is complicating privacy issues because perceptions of privacy, trust, risk, and fair information practices vary across cultures, and differences in national regulation create challenges for global information management strategies. Despite the spike in international regulatory attention devoted to privacy issues and the tensions associated with them, there has been very little research on the relationship between information privacy concerns and consumers' regulatory preferences, and even rarer is research that incorporates cultural values into a framework that includes privacy concerns and regulation. This study examines privacy concerns, a full complement of cultural values, trust, risk, and regulation at the individual level in a cohesive manner. Relying on a dataset of consumers gathered in the United States and India, the authors test a model that incorporates these constructs as well as trust and risk beliefs. The model explains 48% of the variance in consumers' regulatory preferences, and all but one of the hypotheses find statistical support.

Reducing uncertainties in innovation projects through intra-organisational collaboration: a systematic literature review

PurposeThis article provides the first systematic review of literature on effective organisational practices for reducing innovation project uncertainties to promote project performance. Innovation is the lifeblood of organisations, while simultaneously being one of the most challenging processes to manage. This systematic review seeks to examine best practice for reducing uncertainties and thus mitigate the high failure rates in innovation projects.Design/methodology/approachThis paper provides a systematic review of the literature on innovation project management and encourages an understanding of how intra-organisational collaboration reduces uncertainty and thus increases project performance.FindingsBased on an analysis of the systematic literature review findings, the impact of intra-organisational collaboration in reducing uncertainties in innovation projects is uncovered. Three types of project uncertainties were found to be dominant in the context of innovation project management: task, technological and market uncertainties. Five dimensions of intra-organisational collaboration are also identified, namely collaborative relationship, collaborative leadership, communicating and sharing information, trust formation and joint decision-making.Originality/valueThe authors situate five intra-organisational collaboration dimensions as key mechanisms that yield organisational learning as an outcome. On the other hand, they also uncovered that organisational learning is a key enabler in the relationship between intra-organisational collaboration and task, market and technological uncertainties reduction. Therefore, intra-organisational collaboration is identified as a critical practice in enhancing the performance of innovation projects. The study proposes a multi-dimensional conceptual model, providing a mechanism for furthering a research agenda for improving the performance of innovation projects.

Pengaruh kualitas Pelayanan, Kepercayaan Nasabah dan Teknologi Sstem Informasi Terhadap Kepuasan Nasabah di PT. TASPEN Cabang Padang

The key competitive advantage in a situation full of competition is the ability of the company in improving customer satisfaction. Customer satisfaction will be the key to success, not only in the short term but sustainable competitive advantage. The purpose of this research is to find out and analyse the influence the service quality, trust and technology information system on customer satisfaction in Taspen (Persero) compayny of Padang. Technique data collecting in this research use the questionnaire. The sample taken by as much 100 people customers at PT. Taspen (Persero) Branch the Padang by using scale likert. Design research is quantitative with the hypothesis. Data analysis techniques using multiple linear regression using SPSS 25. This result indicates that the variable of 1) service quality have an effect on positive to customer satisfaction 2) trust have an effect on positive to customer satisfaction 3) technology information system have an effect on positive to customer satisfaction

Communicating the “Race” for the COVID-19 Vaccine: An Exploratory Study in Newspapers in the United States, the United Kingdom, and Brazil

The search for an effective solution to control the COVID-19 pandemic has mobilized an unprecedented effort by science to develop a vaccine against the disease, in which pharmaceutical companies and scientific institutions from several countries participate. The world closely monitors research in this area, especially through media coverage, which plays a key role in the dissemination of trustful information and in the public’s understanding of science and health. On the other hand, anti-vaccine movements dispute space in this communication environment, which raises concerns of the authorities regarding the willingness of the population to get vaccinated. In this exploratory study, we used computer-assisted content analysis techniques, with WordStat software, to identify the most addressed terms, semantic clusters, actors, institutions, and countries in the texts and titles of 716 articles on the COVID-19 vaccine, published by The New York Times (US), The Guardian (United Kingdom), and Folha de São Paulo (Brazil), from January to October 2020. We sought to analyze similarities and differences of countries that stood out by the science denialism stance of their government leaders, reflecting on the severity of the pandemic in these places. Our results indicate that each newspaper emphasized the potential vaccines developed by laboratories in their countries or that have established partnerships with national institutions, but with a more politicized approach in Brazil and a little more technical-scientific approach in the United States and the United Kingdom. In external issues, the newspapers characterized the search for the discovery of a vaccine as a race in which nations and blocs historically marked by economic, political, and ideological disputes are competing, such as the United States, Europe, China, and Russia. The results lead us to reflect on the responsibility of the media to not only inform correctly but also not to create stigmas related to the origin of the vaccine and combat misinformation.

The influence of the level of citizens' trust in public authorities on the application of public marketing in Ukraine

Nowadays there is an active development of trust marketing, which is designed to form long-term relationships between customers and businesses, providing the latter with significant competitive advantages in the consumer market. Awareness of the importance of trust in the commercial sector and maintaining it at a high level allows companies to increase their profits. If a person trusts the company, he is more likely to buy the product from him than from someone he does not trust at all. Equally important is the trust of citizens in public authorities. After all, it appears as a kind of advance in the relationship regarding future activities. A high credit of public confidence in public authorities allows public administrators to implement reforms, make changes in society and innovate as soon as possible. Distrust leads to resistance to change, increases the instability of the state, ultimately increases the cost of time and money to verify information, documents and so on.The scientific article describes the differences between state and public authorities. Thus, it has been determined that the subjects of state power are the legislative, executive and judicial authorities and the subjects of public authority are public authorities and local governments in Ukraine. The interpretation of the concept of "trust" has been covered, the level of trust of Ukrainian citizens to public authorities has been analysed. Also, a number of factors influencing the formation of trust and distrust in public authorities in Ukraine have been identified and analysed. It has been found that corruption, insufficient level of professionalism and moral values of public managers, opacity and lack of accountability of Ukrainian cities contribute to the formation of distrust to the government among the population. It has been established that the factor of citizens' trust in public authorities also influences the successful implementation of public marketing. After all, the greater the credit of trust held by public authorities, the more convincing it will sound for citizens to present those public ideas and decisions that are promoted through the use of public marketing tools.

Trust in health information sources and its associations with COVID-19 disruptions to social relationships and health services among people living with HIV

BackgroundSARS-CoV-2 infection (COVID-19) is potentially severe for individuals with compromised immune systems, including people living with HIV. Along with the direct health threats of COVID-19, there are disruptions to social relationships and health services resulting from mitigation efforts instituted by public health authorities. This study examined the relationship between trust in the government and trust in COVID-19 health information from the US CDC, state health departments, and social media on the experience of COVID-19 social and health services-related disruptions.MethodsPeople living with HIV (N = 459) recruited through social media advertisements and chain referrals completed confidential surveys delivered through an online platform.ResultsParticipants experienced high-levels of disruptions to social relationships and health services attributable to COVID-19 mitigation efforts. We also observed high-rates of inaccurate information and low-levels of trust in government and sources of COVID-19 information. Greater disruptions to social relationships were predicted by more concern about oneself and others contracting COVID-19, whereas disruptions to health services were predicted by greater concern for oneself contracting COVID-19, greater general medical mistrust, and less trust in information from the CDC.ConclusionsFindings have implications for the necessity of rebuilding public trust in credible sources of health information and stepping up efforts to counter sources of inaccurate information.

Evaluation of an interactive online information service to improve patient care in the field of anticoagulation and antithrombotic therapy

AbstractBackgroundThe ClotCare Online Information Resource (“ClotCare”) was established in 2000 as an interactive patient education service. In 2003, its scope of service was expanded to include clinicians and the general public, and an editorial board was added to facilitate dissemination of new information. By 2008, the site had achieved national and international recognition.MethodsWebsite use statistics and an online survey were used to assess geographic reach and clinical impact in 2010.ResultsThe site experienced an annual growth of over 40% (with the use doubling every 2 years). ClotCare answered over 1000 questions per year, web traffic exceeded 500 000 “hits” per month and more than 5000 individuals subscribed to the email list serve. Of the 826 individuals who responded to the survey, 55% subscribed to the email list serve, 58% were health care professionals, 31% were patients, and 11% were “individuals seeking information on blood clots and related issues”. United States residents comprised 87% of respondents; the others resided in 20 different countries. Data from completed surveys revealed that 367 of 412 health care professionals (89%) and 259 of 298 patients (87%) could identify a specific change in practice that they had made due to information from ClotCare. Among the 295 “frequent users,” 94% to 98% agreed or strongly agreed that ClotCare increased their knowledge, provided valuable information, provided trusted information, provided a valuable service, and is among the top five resources utilized for information on blood clots and related treatments.ConclusionsClotCare substantially altered the actions of both health care professionals and patients. These outcomes have been achieved through web‐based education and information sharing as well as “on demand” responses to questions. ClotCare is a widely used resource that is highly valued.

Mobile edge-enabled trust evaluation for the Internet of Things

The Internet of Things (IoT), including wireless sensors, is one of the highly anticipated contributors to big data; therefore, avoiding misleading or forged data gathering in cases of sensitive and critical data through secure communication is vital. However, due to the relatively long distance between remote cloud and end nodes, cloud computing cannot provide effective and direct management for end nodes, which leads to security vulnerabilities. In this paper, we propose a novel trust evaluation model based on the trust transitivity on a chain assisted by mobile edge nodes, which is used to ensure the reliability of nodes in the Internet of Things and prevent malicious attacks. The mobile edge nodes offer a new solution to solve the above problems with relatively strong computing and storage abilities. Firstly, we design calculation approaches to different trust chains to measure their trust degrees. Secondly, we propose an improved Dijkstra’s algorithm for collecting trust information of sensor nodes by mobile edge nodes. Finally, the experimental results show that our trust model based on mobile edge nodes can evaluate sensor nodes more precisely and enhance the security on the Internet of Things.

Marketing de influencia: educación sanitaria online

Internet y las redes sociales han supuesto un antes y un después en el intercambio de información sanitaria. Este proceso ha generado consecuencias como la pérdida de control sobre la información disponible, así como el riesgo de educar en salud de una manera errónea. En el presente estado de la cuestión se aborda, entre otros temas, el marketing de influencia en la promoción de productos y servicios relacionados con el ámbito de la salud para, a continuación, ofrecer una perspectiva actual de los procesos comunicativos entre la ciudadanía y las figuras influyentes del panorama online. Gracias a una encuesta online, se han podido identificar varios influencers que compartían en Instagram alguna recomendación sobre productos de salud. Con esta muestra, se han analizado diferentes publicaciones y se han obtenido diversas conclusiones. Algunos de los resultados obtenidos en el análisis de estos perfiles es que los influencers obtienen más reconocimiento y repercusión que los perfiles de profesionales y expertos sanitarios. Además, los posts que versan sobre productos relacionados con la salud obtienen grandes datos de engagement a pesar de ser contenido comercial, lo que significa una buena aceptación por parte del público. La clave del éxito de las campañas de marketing de influencia en el sector de la salud reside en la enorme confianza que depositan los seguidores sobre los influencers, lo que supone un verdadero riesgo, pues en la mayoría de los casos no se trata de información veraz y de calidad.

Research on Collaborative Filtering Recommendation Based on Trust Relationship and Rating Trust

In the Internet age, how to dig out useful information from massive data has become a research hotspot. The emergence of recommendation algorithms effectively solves the problem of information overload, but traditional recommendation algorithms face problems such as data sparseness, cold start, and low accuracy. Later social recommendation algorithms usually only use a single social trust information for recommendation, and the integration of multiple trust relationships lacks an efficient model, which greatly affects the accuracy and reliability of recommendation. This paper proposes a trust-based approach. Recommended algorithm. First, use social trust data to calculate user trust relationships, including user local trust and user global trust. Further based on the scoring data, an implicit trust relationship is calculated, called rating trust, which includes scoring local trust and scoring global trust. Then set the recommendation weight, build the preference relationship between users through user trust and rating trust, and form a comprehensive trust relationship. The trust relationship of social networks is integrated into the probability matrix decomposition model to form an efficient and unified trusted recommendation model TR-PMF. This algorithm is compared with related algorithms on the Ciao and FilmTrust datasets, and the results prove that our method is competitive with other recommendation algorithms.

Pengaruh Promosi Online Melalui Sosial Media Instagram Dalam Upaya Meningkatkan Kepercayaan Konsumen Produk Healthy Drink Bogor

This study aims to determine: The effect of online promotion through social media Instagram on consumer confidence in Healthy Drink Bogor products. The design of this study is a survey research. The population in this study were consumers of the Healthy Drink Bogor Beverages. The results showed that online promotion had a significant effect on consumer confidence in Healthy Drink Bogor. This shows that if online promotion is good, it will increase consumer loyalty, on the other hand, if consumer satisfaction is low, consumer confidence will decrease. Judging from the total influence of each variable on online promotion in the formation of consumer trust, the indicators of promotion frequency, promotion quality and promotion quantity are the indicators that most contribute to forming online promotions that affect consumer confidence in Healthy Drink Bogor.