People's Decisions Research Articles

Faktor – faktor yang mempengaruhi keputusan investasi mahasiswa

The study examines how financial literacy, financial inclusion, and financial efficacy impact the investment decisions of economics and business students in Jakarta. It used a quantitative approach and collected data from 105 respondents through questionnaires. The multiple linear regression analysis with Eviews 12 revealed that the three independent variables positively and significantly affect investment decisions, explaining 89.09% of the variation. The findings highlight the importance of enhancing knowledge, access, and confidence in financial management to improve the investment decisions of college students. This study enhances our understanding of the financial behavior of young adults. It has implications for developing financial education programs and policies that promote responsible investment practices among college students. Public interest statements This research offers valuable insights into the factors influencing young people's investment decisions. Understanding the impact of financial knowledge, access to financial services, and confidence in managing money can assist college students in making wiser investment decisions.

Using smartphones to study vaccination decisions in the wild.

One of the most important tools available to limit the spread and impact of infectious diseases is vaccination. It is therefore important to understand what factors determine people's vaccination decisions. To this end, previous behavioural research made use of, (i) controlled but often abstract or hypothetical studies (e.g., vignettes) or, (ii) realistic but typically less flexible studies that make it difficult to understand individual decision processes (e.g., clinical trials). Combining the best of these approaches, we propose integrating real-world Bluetooth contacts via smartphones in several rounds of a game scenario, as a novel methodology to study vaccination decisions and disease spread. In our 12-week proof-of-concept study conducted with N = 494 students, we found that participants strongly responded to some of the information provided to them during or after each decision round, particularly those related to their individual health outcomes. In contrast, information related to others' decisions and outcomes (e.g., the number of vaccinated or infected individuals) appeared to be less important. We discuss the potential of this novel method and point to fruitful areas for future research.

Motif Penggunaan Modem Orbit Telkomsel Pada Masyarakat di Kabupaten Karawang : Studi Fenomenologi Tentang Kebutuhan Internet

This research aims to explore the motives and experiences of using the PT Orbit Modem. Telkom Indonesia Tbk. by the people of Karawang Regency in meeting internet needs. By using a qualitative approach and phenomenological study methods, this research identifies the factors that influence people's decisions in using the Telkomsel Orbit modem. Data was collected through in-depth interviews with ten informants who are Telkomsel Orbit modem users in Karawang Regency. The research results show that the motive for using the Telkomsel Orbit modem is influenced by previous positive experiences with Telkomsel products, trust in stable network quality, affordable prices, ease of use, and internet stability. The motives for using it include cost savings, efficiency of use, ease of installation, payment via the MyOrbit application, and the experience of internet stability for daily needs. Therefore, it can be concluded that the decision to use the Telkomsel Orbit modem by the people of Karawang Regency was driven by a combination of positive experiences and the desire to create better conditions in the future, with a focus on trust, efficiency and stability in internet use.

Impact Analysis of COVID-19 Pandemic on Hospital Reviews on Dianping Website in Shanghai, China: Empirical Study.

In the era of the internet, individuals have increasingly accustomed themselves to gathering necessary information and expressing their opinions on public web-based platforms. The health care sector is no exception, as these comments, to a certain extent, influence people's health care decisions. During the onset of the COVID-19 pandemic, how the medical experience of Chinese patients and their evaluations of hospitals have changed remains to be studied. Therefore, we plan to collect patient medical visit data from the internet to reflect the current status of medical relationships under specific circumstances. This study aims to explore the differences in patient comments across various stages (during, before, and after) of the COVID-19 pandemic, as well as among different types of hospitals (children's hospitals, maternity hospitals, and tumor hospitals). Additionally, by leveraging ChatGPT (OpenAI), the study categorizes the elements of negative hospital evaluations. An analysis is conducted on the acquired data, and potential solutions that could improve patient satisfaction are proposed. This study is intended to assist hospital managers in providing a better experience for patients who are seeking care amid an emergent public health crisis. Selecting the top 50 comprehensive hospitals nationwide and the top specialized hospitals (children's hospitals, tumor hospitals, and maternity hospitals), we collected patient reviews from these hospitals on the Dianping website. Using ChatGPT, we classified the content of negative reviews. Additionally, we conducted statistical analysis using SPSS (IBM Corp) to examine the scoring and composition of negative evaluations. A total of 30,317 pieces of effective comment information were collected from January 1, 2018, to August 15, 2023, including 7696 pieces of negative comment information. Manual inspection results indicated that ChatGPT had an accuracy rate of 92.05%. The F1-score was 0.914. The analysis of this data revealed a significant correlation between the comments and ratings received by hospitals during the pandemic. Overall, there was a significant increase in average comment scores during the outbreak (P<.001). Furthermore, there were notable differences in the composition of negative comments among different types of hospitals (P<.001). Children's hospitals received sensitive feedback regarding waiting times and treatment effectiveness, while patients at maternity hospitals showed a greater concern for the attitude of health care providers. Patients at tumor hospitals expressed a desire for timely examinations and treatments, especially during the pandemic period. The COVID-19 pandemic had some association with patient comment scores. There were variations in the scores and content of comments among different types of specialized hospitals. Using ChatGPT to analyze patient comment content represents an innovative approach for statistically assessing factors contributing to patient dissatisfaction. The findings of this study could provide valuable insights for hospital administrators to foster more harmonious physician-patient relationships and enhance hospital performance during public health emergencies.

The impact of digital finance on young People's health insurance participation decisions in China.

The digital finance era has reshaped young people's lifestyles, risk perceptions and insurance participation decisions. Modern youth have to constantly seek for rational social security support and construct individual protection barriers to adapt to new lifestyles and social structures. China's multi-tiered, universal health insurance system is urgently needed to satisfy young people's flexible needs and rational decision-making. Based on the micro data from 2011 ~ 2021 Chinese General Social Survey (CGSS), this paper uses macro data from Digital Inclusive Finance Index (DIFI) matching to construct probit and m-logit model to assess the impact of the development of digital finance on Chinese youth whether or not to participate in health insurance, and how they choose the concrete type of health insurance. (1) Baseline regression results shows that digital finance has a significant positive effect on Chinese youth's health insurance participation decisions, and has different effects on choices within health insurance types. Strong support for the conclusions is provided by endogeneity and robustness tests. (2) The results of the heterogeneity analysis reveal that the marginal effect of digital finance on young people's health insurance decisions shows urban-rural differences, divergence in levels of self-rated health. (3) The mechanism analysis results suggest that there are two mechanism paths of digital finance on youth health insurance decisions: the household income effect and the subjective well-being effect, and two moderating effects: employment type and family structure. Highlighting the positive value that digital finance brings to the perception of youth insurance participation and the construction of social security systems, it needs to pay close attention to the dynamic changes in employment security and family structure through data, and explore the socio-psychological fluctuation and demand for social security among modern youth. To provide a way forward to achieve the integration of the health insurance system in China and solve the current problem of health insurance equity.

The Influence of Religious, Social Environment, and Motivation on Savings Decision

Sharia aspects have become an important topic that determines people's decisions, including in the financial sector. The aim of this research is to partially determine the influence of religiosity, social environment, and motivation on the decision to save at a sharia bank. This research uses a quantitative approach, the data collection method used is a questionnaire. The population in this study were sharia bank customers in Bone Regency. The number of samples used was 100 samples. The data that has been collected will go through the stages of validity testing, reliability testing, classical assumption testing, and hypothesis testing. Data processing was carried out with the help of SPSS analysis tools. The results of the research show that religiosity has a positive and significant effect on the decision to save in sharia banks with a t value of 7.241 t table 1.660, the social environment has no effect on the decision to save in sharia banks with a t value of -0.672 t table 1.660, and motivation has a positive effect and significant for the decision to save in Islamic banks with a t value of 5.643 t table 1.660.

Impact of E-Marketing on Book Purchase Tendencies: An Empirical Study on University Undergraduate Students

Purpose: This study investigates the effects of e-marketing on customer behaviour in book purchases regarding e-mail marketing, social media marketing, and mobile marketing. It also examines the factors influencing the book-purchasing decision and how each e-marketing channel affects customer behaviour. These findings will be essential context for book industry marketers and stakeholders.Methodology: This quantitative analysis was drawn from survey data in which 205 university undergraduate students from 3 public universities were participated. It is designed to determine the customer's level of acceptance of this or that e-marketing strategy. Regression analysis has been employed to test the relationship between e-marketing strategies and book-buying behaviour, and cross-tabulation has been used to detect demographic patterns.Findings: Unlike social media and mobile marketing, e-mail marketing does not affect consumers' intent to purchase books. Regression analysis shows the significance of concentrated marketing campaigns in influencing consumer behaviour.Practical Implication: The study's insights might help those in the book sector improve their online advertising campaigns. Opportunities in the digital book market are increasing, and publishers and merchants may exploit them by targeting specific customer categories with tailored content.Originality: This study contributes to the existing literature by highlighting the different e-marketing strategies that affect people's decisions to buy books and the demographic factors that play a crucial role in creating these effects.

Aberrant decision-making as a risk factor for falls in aging.

Neuromotor impairments resulting from natural aging and aging-related diseases are often accompanied by a heightened prevalence of falls and fall-related injuries. Conventionally, the study of factors contributing to falls focuses on intrinsic characteristics, such as sensorimotor processing delays and weakness, and extrinsic factors, such as environmental obstacles. However, the impact of these factors only becomes evident in response to people's decisions about how and where they will move in their environment. This decision-making process can be considered a behavioral risk factor, and it influences the extent to which a person engages in activities that place them near the limits of their capacity. While there are readily available tools for assessing intrinsic and extrinsic fall risk, our understanding of how to assess behavioral risk is limited. Measuring behavioral risk requires a systematic assessment of how people make decisions when walking in complex environments and how these decisions relate to their functional capacity. We propose that experimental methods and computational models derived from behavioral economics can stimulate the development of such assessments. Behavioral economics relies on theoretical models and empirical studies to characterize the factors that influence how people make decisions under risky conditions where a given decision can have variable outcomes. Applying a behavioral economic approach to walking can provide insight into how internal assessment of one's fall risk influences the tasks that one is willing to perform. Ultimately, these assessments will allow us to identify people who make choices that increase their likelihood of fall-related injuries.

Personality Traits and Insurance Demand.

Personality traits drive people's financial decisions and hence affect their lives. Yet, we know little about the relationship between personality traits and insurance decisions. Do Risk-Taking, the Big Five and Locus of Control predict a variety of personal insurance decisions? Using a sample of 14,624 German adults with the goal of identifying associations between personality and insurance demand, we found that personality traits predict demand for various insurance types. We also found that associations may be mediated by demographic variables and may depend on the statistical modeling approach (e.g., including nonlinear relationships or examining between- and within-person effects). These findings contribute to our understanding of the role of personality in insurance demand and highlight the need for further exploration of this relationship, as our results demonstrate that personality-insurance-demand-associations depend on the examined insurance type.

Modelling the factors that affect the intention to adopt emerging digital technologies for a sustainable smart world city

All over the world, urbanization's problems are forcing governments to look for innovative ways to run contemporary cities and as such, solving urban problems has become a hot topic. The implementation of smart city technology is one of the most sought-after solutions. However, research on the variables that influence individuals' intentions to use smart city services is still in its infancy, particularly in developing countries. This research looked at what influences people's decisions to utilize or embrace smart city services in on Asian country. It extended the Unified Theory of Acceptance and Use of Technology (UTAUT2) model by adding trust in technology, trust in government, perceived security concern and perceived privacy concern. Using a simple random sampling technique, data were collected from 470 participants across three major cities in one Asian country. The biggest predictor of the desire to use smart city services, according to our research, is the facilitating condition. Other elements include social influence, hedonic drive, performance expectancy, effort expectancy, and trust in the government. The inclination to use smart city services was shown to be inversely correlated with privacy and security concerns. Trust in smart city services had nothing to do with its usage intention. Finally, gender and age did not act as moderators of the hypothesized relationships in our model. This outcome established strong theoretical and practical implications as discussed in this article.

Pengaruh Pemahaman Etika terhadap Karakter Pemuda Kristen di Era Modern

His research explores how ethical understanding influences the character of Christian youth in the modern era. Through a qualitative approach, data was collected from in-depth interviews with Christian youth aged 18-25 years in various church communities. The research results show that understanding Christian ethics significantly influences young people's decision making, attitudes and daily behavior, even though they are faced with the challenges of modernization and globalization. This study emphasizes the importance of ethics education in strengthening character with integrity among Christian youth.

Stay at home behavior during COVID-19: The role of person-home relationships

Numerous studies investigated the adherence to health behaviors during COVID-19; however, the majority of approaches considered individual factors, while neglecting the importance of people's relationship with their home. The purpose of this contribution is to integrate this aspect into a behavioral model to understand stay at home behavior during COVID-19 lockdowns. More specifically, this study combines a traditional approach employing variables from the Theory of Planned Behavior (TPB) and risk perception with Home place attachment and Past stay at home experience to explain people's decisions to stay at home during the COVID-19 lockdown. Data collection was conducted online during the first Italian lockdown with 794 valid answers. A structural equation model found that the predicted model has a good fit, and all variables are found to significantly predict Stay at home behavior, except for Descriptive norms and Risk perception. Place attachment and Past stay at home experience are found to positively predict Stay at home intention, through Attitude and Perceived behavioral control, respectively. Contrary to the hypotheses, Risk perception is not found to be significant, Findings point to the importance of considering the person-home relationship in adherence to stay at home behavior. Results are discussed for their implication for behavioral coping during future pandemics as well as for their relevance in daily life after the pandemic.

Financial literacy and technological adoption on entrepreneur intention among youth in agriculture sector

This study examines the impact of financial literacy and technological adoption on entrepreneurial intentions among youth in agriculture sector. The study of entrepreneurial intention has been and will continue to be a topic of interest to academics because of its importance to the development of numerous nations. The literature on entrepreneurial intention has examined a wide range of issues, with a focus on the factors that influence entrepreneurial intention. Furthermore, technological advancements in agriculture could potentially resolve the issue of food security. The majority of these investigations in agriculture sector, though, were conducted elsewhere, for example, in Pakistan and Indonesia. The study's focus on agriculture allowed them to examine the relationship between entrepreneurial intent and the sector. This study examines Malaysian youth's desire to start their own businesses. It specifically aims to determine how technological adoption and financial literacy (financial attitude, financial behavior, and financial knowledge) affect entrepreneurial intention. A partial least squares–structural equation modeling (PLS-SEM) data analysis was carried out. The investigation employed purposive sampling. The results demonstrated that technological adoption and financial literacy (financial attitude, financial behavior, and financial knowledge) have a substantial impact on young people's decision to become entrepreneurs. The findings of this study could contribute to the body of knowledge, and help policymakers create programs and policies. Future researchers can use this study to learn more about entrepreneurial intent in a financial context.

Rational or altruistic: the impact of social media information exposure on Chinese youth's willingness to donate blood.

Non-remunerated blood donation is the main approach for various medical institutions to get the source of blood supply, but the blood supply shortage is still a problem in today's society. Social media has become the main approach of information acquisition for youth groups nowadays, and the information on social media will have an impact on people's behavioral decisions. The objective of this study was therefore to investigate the correlation between social media exposure to relevant information about blood donation and the willingness of youths to donate blood. We collected data from 455 questionnaires through an online questionnaire and structural equation modeling was constructed for validation. Data were analyzed for reliability, validity, and demographic differences using IBM-SPSS 26.0, and IBM-SPSS-AMOS 26.0 was used for model fit analysis and path analysis. The results of the study showed that there was a positive correlation between social media exposure to relevant blood donation information and willingness to donate blood (β = 0.262, p < 0.001), altruism (β = 0.203, p < 0.001) and self-efficacy (β = 0.170, p < 0.001). While there was also a positive correlation between attitude toward blood donation and self-efficacy (β = 0.560, p < 0.001), there was no positive correlation between it and willingness to donate blood (β = -0.180, p = 0.786). There was also a positive correlation between altruism and willingness to donate blood (β = 0.150, p < 0.05) and attitude toward blood donation (β = 0.150, p < 0.001). Similarly, there was a positive correlation between self-efficacy and willingness to donate blood (β = 0.371, p < 0.001). Exposure to more information related to blood donation on social media can increase the willingness of the youth population to donate blood, while exposure to information related to altruism and self-efficacy on social media can also enhance young people's attitudes toward blood donation, while further strengthening their willingness to donate.

Managing and aggregating group evidence under quality and quantity trade-offs

Trade-offs between quality and quantity arise in an abundance of contexts concerning group decision making. With the starting point being that group members provide more accurate evidence when they are involved with fewer tasks, team managers often encounter the following dilemma: Should they assign their group members with many tasks (attempting to gather more evidence with lower quality), or with fewer tasks (aiming at receiving less, but more high-quality evidence)? Secondly, what is the optimal way to aggregate the collected evidence from a group, which may be contrasting and varying in accuracy? Should more weight be given to the more accurate group members, or to the larger number of those who provide the same answer? This topic is already studied within the mathematical framework of Terzopoulou and Endriss (2019). In this paper we complement it experimentally, by investigating to what extent people's decision-making patterns are in accordance with the optimal ones proposed by the normative model. Our findings suggest that people understand the task at hand and generally opt for optimal choices, especially in conflict-free cases. Still, a tendency towards overvaluing the importance of additional evidence, despite their accuracy, is observed; this translates into choosing options that align with the majority rule in aggregation problems.

Seeking help for atrial fibrillation: the role of the body in distributed decision making

We adopt Rapley's (2008) concept of distributed decision making to explore the role of the body in people's decisions to seek medical care. We conducted in-depth interviews with patients diagnosed with atrial fibrillation (AF) who were taking long-term anticoagulants to prevent stroke. We interviewed seventeen patients recruited from English anticoagulant clinics using the biographic-narrative-interpretive method, and conducted thematic, structural and metaphorical analyses. This pluralistic analysis focused on how distributed decision-making was enacted through a range of socio-material, relational and embodied practices. Participants told how they experienced AF-related sensations that fluctuated in intensity and form. Some had no symptoms at all; others experienced sudden incapacitation – these experiences shaped different journeys towards seeking medical help. We draw on work by Mol (2002) to show how the body was differently observed, experienced and done across contexts as the narratives unfolded. We show that as part of a relational assemblage, involving social, material and technological actors over time, a new body-in-need-of-help was enacted and medical help sought. This body-in-need-of-help was collectively discussed, interpreted and experienced through distribution of body parts, fluids and technological representations to shape decisions.RAPLEY T., 2008. Distributed decision making: the anatomy of decisions-in-action. Sociology of Health & Illness, 30, 429–444.MOL A., 2002. The body multiple: ontology in medical practice. Duke University Press: Durham.

A memory-theoretic account of citation propagation.

Despite the common assumption that citations are indicative of an article's scientific merit, increasing evidence indicates that citation counts are largely driven by variables unrelated to quality. In this article, we treat people's decisions of what to cite as an instance of memory retrieval and show that observed citation patterns are well accounted for by a model of memory. The proposed exposure model anticipates that small alterations in factors that affect people's ability to retrieve to-be-cited articles from memory early in their life cycle are magnified over time and can lead to the emergence of highly cited papers. This effect occurs even when there is no variation in the starting point exposure probabilities (i.e. when assuming a level playing field where all articles are treated equally and of equal 'quality'), and is exacerbated by natural variation in retrievability of articles due to encoding. We discuss the implications of the model within the context of research evaluation and hiring, tenure and promotion decisions.

How False Memory and True Memory Affect Decision Making in Older Adults: A Dissociative Account.

Remembering past rewarding experiences plays a crucial rule in guiding people's decision making in the future. However, as people age, they become less accurate in remembering past events and more susceptible to forming false memories. An important question is how the decline of episodic memory and the increase of false memory may affect older adults' decision-making performance. The current study used a newly developed paradigm in which the Deese-Roediger-McDermott (DRM) false memory paradigm was combined with a reward learning task to create robust false memories of rewarding experiences. Participants learned that some DRM picture lists brought them a monetary reward and some DRM picture lists did not bring reward. Later, their memories were tested and decision-making preferences were measured. We found that older and younger adults had almost equivalent false and true memories under the rewarding context, but older adults showed significantly lower decision-making preferences for lure pictures and rewarded pictures than younger adults. Furthermore, true and false memories were a stronger predictor of decision-making preferences for younger than for older adults. These results together suggest an age-related dissociation between memory and decision making that older adults may be less efficient in using their memory to guide decision making than younger adults. Future research may further investigate its underlying mechanisms and develop potential interventions aiming at strengthening the connection between memory and decision making in older adults to help improve their decision-making performance.

Factors Impacting Chinese Older Adults' Intention to Prevent COVID-19 in the Post-COVID-19 Pandemic Era: Survey Study.

Understanding the factors influencing individuals' health decisions is a dynamic research question. Particularly, after China announced the deregulation of the COVID-19 epidemic, health risks escalated rapidly. The convergence of "no longer controlled" viruses and the infodemic has created a distinctive social period during which multiple factors may have influenced people's decision-making. Among these factors, the precautionary intentions of older individuals, as a susceptible health group, deserve special attention. This study aims to examine the intention of older adults to engage in preventive behaviors and the influencing factors, including social, media, and individual factors, within the context of the postepidemic era. Drawing upon the structural influence model of communication, this study tests the potential mediating roles of 3 different types of media exposure between cognitive and structural social capital and protective behavior intention, as well as the moderating role of negative emotions between social capital and media exposure. In this study, a web survey was used to collect self-reported quantitative data on social capital, media exposure, negative emotions, and the intention to prevent COVID-19 among older adults aged ≥60 years (N=399) in China. The results indicate that cognitive social capital significantly influenced protective behavior intention (P<.001), with cell phone exposure playing an additional impactful role (P<.001). By contrast, newspaper and radio exposure and television exposure mediated the influence of structural social capital on protective behavior intention (P<.001). Furthermore, negative emotions played a moderating role in the relationship between cognitive social capital and cell phone exposure (P<.001). This study suggests that using tailored communication strategies across various media channels can effectively raise health awareness among older adults dealing with major pandemics in China, considering their diverse social capital characteristics and emotional states.

Comparing preferences for skin cancer screening: AI-enabled app vs dermatologist

Background and aimSkin cancer is a major public health issue. While self-examinations and professional screenings are recommended, they are rarely performed. Mobile health (mHealth) apps utilising artificial intelligence (AI) for skin cancer screening offer a potential solution to aid self-examinations; however, their uptake is low. Therefore, the aim of this research was to examine provider and user characteristics influencing people's decisions to seek skin cancer screening performed by a mHealth app or a dermatologist. MethodsTwo forced-choice conjoint experiments with Nmain = 1591 and Nreplication = 308 participants from the United States were conducted online to investigate preferences for screening providers. In addition to the provider type (mHealth app vs dermatologist), the following provider attributes were manipulated: costs, expertise, privacy policy, and result details. Subsequently, a questionnaire assessed various user characteristics, including demographics, attitudes toward AI technology and medical mistrust. ResultsOutcomes were consistent across the two studies. The provider type was the most influential factor, with the dermatologist being selected more often than the mHealth app. Cost, expertise, and privacy policy also significantly impacted decisions. Demographic subgroup analyses showed rather consistent preference trends across various age, gender, and ethnicity groups. Individuals with greater medical mistrust were more inclined to choose the mHealth app. Trust, accuracy, and quality ratings were higher for the dermatologist, whether selected or not. ConclusionOur results offer valuable insights for technology developers, healthcare providers, and policymakers, contributing to unlocking the potential of skin cancer screening apps in bridging healthcare gaps in underserved communities.