Relevant bibliographies by topics / Perceived risk

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Perceived risk'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "Perceived risk"

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Ost, David H. "Perceived Risk." American Biology Teacher 57, no. 4 (April 1, 1995): 235–38. http://dx.doi.org/10.2307/4449976.

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Barron, Gregory. "Perceived risk." New Scientist 200, no. 2676 (October 2008): 20. http://dx.doi.org/10.1016/s0262-4079(08)62483-5.

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Tingchi Liu, Matthew, James L. Brock, Gui Cheng Shi, Rongwei Chu, and Ting‐Hsiang Tseng. "Perceived benefits, perceived risk, and trust." Asia Pacific Journal of Marketing and Logistics 25, no. 2 (March 29, 2013): 225–48. http://dx.doi.org/10.1108/13555851311314031.

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Dubosson, Magali, and Emmanuel Fragnière. "Perceived Risk Management." International Journal of Applied Logistics 1, no. 2 (April 2010): 37–52. http://dx.doi.org/10.4018/jal.2010040103.

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The purpose of this paper is to contribute to the theoretical work on service-perceived risk management of knowledge-based services (i.e., intangible and heterogeneous) and experience-based services and to suggest a framework that helps to formalize these risks and the value associated with their management, by arguing that this risk management relies on a sequence of risks (Threat, Event, Ignorance and Damage, called the TEID model) and on three categories of control measures (preventative, detective and protective). By categorizing customer-perceived risks, and by integrating control measures and assurances into their offer, providers can design new and valuable services. Service value-chains involve various providers (implicitly or otherwise) who may engender annoyance and damages as risks are a sequence of events. This paper holds the potential to contribute to extending an understanding and management capacity of customer-perceived risks of knowledge-based services. It brings into play a new framework and new risk management process. It also helps with formalizing and making tangible customer added-value.
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Weber, Elke U., and Richard A. Milliman. "Perceived Risk Attitudes: Relating Risk Perception to Risky Choice." Management Science 43, no. 2 (February 1997): 123–44. http://dx.doi.org/10.1287/mnsc.43.2.123.

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Agarwal, Sanjeev, and R. Kenneth Teas. "Perceived Value: Mediating Role of Perceived Risk." Journal of Marketing Theory and Practice 9, no. 4 (October 2001): 1–14. http://dx.doi.org/10.1080/10696679.2001.11501899.

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Markiewicz, Łukasz, Rafał Muda, Elżbieta Kubińska, and Paweł Augustynowicz. "An explanatory analysis of perceived risk decision weights (perceived-risk attitudes) and perceived benefit decision weights (perceived-benefit attitudes) in risk-value models." Journal of Risk Research 23, no. 6 (July 2, 2019): 739–61. http://dx.doi.org/10.1080/13669877.2019.1628089.

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Alkhadim, Mohammed, Kassim Gidado, and Noel Painting. "Perceived Crowd Safety in Large Space Buildings: The Confirmatory Factor Analysis of Perceived Risk Variables." Journal of Engineering, Project, and Production Management 8, no. 1 (January 31, 2018): 22–39. http://dx.doi.org/10.32738/jeppm.201801.0004.

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Kim, Seung Hwan, and Framarz Byramjee. "Effects Of Risks On Online Consumers Purchasing Behavior: Are They Risk-Averse Or Risk-Taking?" Journal of Applied Business Research (JABR) 30, no. 1 (December 30, 2013): 161. http://dx.doi.org/10.19030/jabr.v30i1.8291.

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Since the beginning of e-commerce, trustworthiness of commercial web sites has been a constant issue, and, very likely, it will continue to be. When an online shopper cannot trust a web site where he or she intends to make a purchase, the online shopper would perceive a risk of transactional security and a risk of privacy of personal information. In regard to this perceived risk in online transactions, this study is set out to find the change in the level of perceived risk in Business-to-Consumer (B2C) e-commerce and to test whether or not consumers trust a web-centric company at their first visit to the companys web site. Two major findings of this study are that about one third of those surveyed for the study feel an increased risk in B2C online transactions over the previous year, and that absolute majority of them have never or rarely shopped on a web site they are not familiar with. It is further found that even an attractive deal cannot affect the risk-averse behavior of online shopping. From the findings of the study, it is concluded that risk-averse online shopping behavior is a manifestation of increased perceived risk in B2C online transactions.
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Jia, Jianmin, James S. Dyer, and John C. Butler. "Measures of Perceived Risk." Management Science 45, no. 4 (April 1999): 519–32. http://dx.doi.org/10.1287/mnsc.45.4.519.

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Dissertations / Theses on the topic "Perceived risk"

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Kocak, Ozge. "Risk Taking Behaviors Among Turkish University Students: Perceived Risk, Perceived Benefit, And Impulsivity." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612568/index.pdf.

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The aims of the current study are to examine the relation of risk taking behaviors (RTBs) with perceived risk, perceived benefit, and impulsivity and also to investigate the moderator role of impulsivity on the relationships between engagement in RTBs and the predictors of the engagement in RTBs (i.e. perceived risk and benefit) after controlling the effects of age, gender, and self esteem. In order to measure engagement in RTBs, perceived risk, and perceived benefit, Modified Risk Involvement and Perception Scale (Ö
zmen, 2006) was adapted to Turkish culture in Study 1 by using Middle East Technical University (METU) students. The sample of Study 2 was composed of 234 METU students and a questionnaire set including demographic information sheet, Modified Risk Involvement and Perception Scale (M-RIPS) (Ö
zmen, 2006), Barratt Impulsiveness Scale version 11 (BIS-11) (Gü
leç
et al., 2008), and Rosenberg Self Esteem Scale (RSES) (Rosenberg, 1965) was administered. Multiple hierarchical regression analysis was conducted with perceived risk, perceived benefit, and impulsivity as independent variables and engagement in RTBs as the dependent variable. The findings suggested that perceived risk was negatively whereas perceived benefit and impulsivity was positively related to risk taking behaviors. Moreover, as compared to perceived risk, perceived benefit was a more powerful predictor of RTB. However, it was not found any moderator role of impulsivity on the relationships between engagement in RTBs and its predictors. The strengths and limitations, as well as implications of the findings were discussed.
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Boksberger, Philipp. "Perceived risk as a determinant of perceived value of services /." St. Gallen : [s.n.], 2006. http://www.gbv.de/dms/zbw/51110717X.pdf.

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Shakeri, Shadi. "Modeling Information Seeking Under Perceived Risk." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1404510/.

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Information seeking and information avoidance are the mechanisms humans natural used for coping with uncertainties and adapting to environmental stressors. Uncertainties are rooted in knowledge gaps. In social sciences, the relationship between knowledge gaps and perceived risk have received little attention. A review of the information science literature suggests that few studies have been devoted to the investigation of the role of this relationship in motivating information-seeking behavior. As an effort to address the lack of theory building in the field of information science, this study attempts to construct a model of information seeking under risk (MISR) by examining the relationships among perceived risk, knowledge gap, fear arousal, risk propensity, personal relevance, and deprivation and interest curiosity as antecedents to motivation to seek information. An experimental approach and a scenario-based survey method are employed to design the study. Partial least square structural equation modeling (PLS-SEM) analysis was conducted to test the relationships in the proposed model. Perceived risk was found to be a highly significant predictor of information seeking in moderately high-risk situations. Similarly, personal relevant has a significant negative effect on perceived risk and its interaction with knowledge gap motivates information seeking.
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McCarthy, Mary Brigid. "Perceived risk and risk reduction strategies : the Irish beef customer." Thesis, University of Reading, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.402605.

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Glover, Steven Charles. "The influence of risk-reducing information technology tools on e-commerce transaction perceived risk." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2362.

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This research addressed the question of how information technology (IT) tools influence the perceived risk of consumers in e-commerce transactions in three phases. First, an exposure-driven model of e-commerce transaction perceived risk was developed and tested, providing a theoretical and conceptual basis for this research. Nine salient risk beliefs were modeled as formative dimensions of three risk belief categories based on prior perceived risk research: information misuse risk, performance risk, and functionality inefficiency risk. The model was tested in an online survey of 565 internet users. The results support the proposed construct of e-commerce transaction perceived risk, modeled as formed by the three proposed risk categories, validating the measurement model and finding that the construct was associated as expected with accepted e-commerce constructs in a nomological network. In the second phase, this model was used to examine the ways in which IT tools influence those beliefs. Participants were asked to observe an example of one risk-reducing IT tool (RRIT) and to indicate their willingness to use the tool for reducing the probability of each risk category and risk dimension. This research confirmed that consumers do perceive RRIT as being useful in reducing the probabilities of risk categories, compared to their willingness to adopt a control IT tool or other RRIT for that purpose. The final phase of this research investigates the adoption and influence of RRIT. Participants were shown an example RRIT and were asked to compare a store providing the tool to an identical website that did not provide the tool. This research supported hypotheses that perceived improvements in the probability of one or more of the risk dimensions when an RRIT is provided would lead to an intention to adopt the RRIT, and that the intention to adopt the RRIT would be associated with an improvement in attitude toward buying from a web retailer and the subsequent improvement in intention to buy from a web retailer.
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Harbeck, Emma. "Young novice drivers' perceived risk, risky driving engagement and hazard perception." Thesis, Griffith University, 2017. http://hdl.handle.net/10072/375754.

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Internationally, young novice drivers (aged 17-25 years) are often overrepresented in road-related crash injury and fatality statistics. Compared with older, more experienced drivers, prominent contributors to young driver crash-risk is their lower perceived risk, higher engagement in risky driving behaviours (e.g., speeding), and poorer hazard perception skills. This thesis describes seven studies conducted to address three research aims. The first aim was to model and examine three psychological theories of personality, social–cognitive, and social-learning, to propose a new conceptual framework that explores how young novice drivers perceive driving risk, and whether they choose to engage or not in risky driving behaviours. In studies 1-4, using a sample of 643 young novice drivers (490 females) who held an Australian driver’s licence (Provisional-1, Provisional-2, or Open), models of: i) reinforcement sensitivity, ii) protection motivation, and iii) prototype willingness, were examined. From these models, factors of reward sensitivity, coping appraisal, threat appraisal, driver prototypes, and behavioural willingness predicted young driver perecived risk, and reported risky driving engagement. The second aim was to examine whether a developed and piloted brief hazard perception training session can improve Provisional-1 drivers (aged 17-25years) overall hazard perception knowledge, identification, response and handling to road user related driving hazards using a driving simulator. Educational, passive and active training methods incorporating a number of established behavioural change techniques were employed, while elements of process and product evaluation were undertaken. Also examined was whether any training group differences persisted at 2-3 week follow-up. In Study 5 a sample of 23 drivers (n=7 Provisional-1, n=7 Provisional-2, and n=9 Open licence) piloted and validated the training methods and hazard perception outcome measures. In Study 6, a brief training session was implemented with a sample of 52 (18 male) Provisional-1 licence drivers aged 17-25 years. Participants were equally randomised to four training conditions (pamphlet, passive, active, and no-training). Participants who received training significantly outperformed the no-training participants in hazard perception identification, response, and handling of hazards, in the simulator hazard perception test. When assessed again at a follow-up session (n=40), support was found for participants who received training that was higher in interactivity (passive and active training) outperforming the no-training participants and participants who only received an educational pamphlet in the hazard perception tests (static and simulator). The third aim was to evaluate whether the brief hazard perception training session’s key objectives were met using feedback from participants who completed the training session, and to identify whether factors identified from the new conceptual model (research aim 1) were associated with hazard perception performance. Study 7 evaluated the training session using feedback from drivers who participated in study 5 (N=52), and explored initial associations between protection motivation theory and the prototype willingness model for perceived risk, reported risky driving engagement, and hazard perception. This approach sought to expand the literature by examining factors associated with these three prominent young driver crash risk models to better adjust and address such factors in future training programs targeting safety outcomes. While potential correlates of hazard knowledge were examined, only three were found to share significant relationships: coping appraisal, previous traffic violations, and risky driver prototype similarity. From participant feedback, three key areas of learning were identified by participants: increased knowledge, awareness of new hazards, and greater awareness of driving laws and rules. A majority of participants in the training conditions also indicated that after the training session their understanding of driving hazard perception and driving related hazards had improved. Across training conditions, 91.5% (n=43) of participants who completed the evaluation measure indicated that they would recommend the session for other Provisional-1 drivers. Examining potential underlying influences for why young drivers are overrepresented in international injury and death tolls is important for road safety research and practice (e.g., driver-oriented interventions). Highlighted in this thesis are factors from the conceptual models that could be amenable to change in influencing young driver decision-making, perceived risk, and risky driving engagement, in addition to a brief training session that showed evidence of hazard perception improvement. These results may contribute to improved road safety initiatives, preventive strategies and interventions that focus on this vulnerable driver demographic.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Applied Psychology
Griffith Health
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Jeffers, Akele. "Perceived Risk for HIV among High Risk Individuals: A Comparison of Adolescents and Adults." Digital Archive @ GSU, 2012. http://digitalarchive.gsu.edu/iph_theses/230.

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The United States continues to be affected by the HIV/AIDS epidemic, and now public health is faced with new challenges in mitigating the spread of the disease. African-Americans are disproportionately affected by HIV and a further understanding about the factors that influence high risk sexual behaviors needs to be continuously examined. The aim of this study was to understand and compare the the perception of HIV risk and factors associated with risk perception in high risk adult and adolescent groups. After multivariate analysis, having multiple partners was the only predictor of an increased risk perception among adults. Among adolescents, no significant relationship was found between HIV risk indicators and having an increased HIV risk perception. Both adults and adolescents appeared to underestimate their HIV risk based on their reported risk sexual behaviors. More work is necessary to help adolescents accurately assess their risk of infection.
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Walpole, Hugh David. "Re-Perceiving Perceived Risk: Examining the Psychological Structure of Risk Perception." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu157469610850242.

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Keown, Leslie-Anne. "Perceived risk of victimization, a Canadian perspective." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/MQ65036.pdf.

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Loescher, Lois Jane. "Perceived risk of inherited susceptibility to cancer." Diss., The University of Arizona, 2001. http://hdl.handle.net/10150/290223.

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Perceived risk of inherited susceptibility to cancer (ISC) historically has been determined by objective measures, which neither emphasize how people with ISC perceive their risk of cancer, nor address the meaning of being at risk. The few studies of perceived risk of ISC provide sparse data regarding the process of perceived risk. Knowledge of this process is important because perceived risk may affect how people act to reduce their cancer risk. This study tested the investigator-developed perceived risk of ISC (PRISC) model to learn about this process. The PRISC model, a latent variable (LV) model, is based on existing literature and a preliminary phenomenological study of women at high risk for breast cancer. LVs (Awareness, Perceived Risk, Fear, Support, and Action) in the PRISC model cannot be measured directly, rather, the score of the LVs is inferred through measurements of associated indicator variables. The purpose of this cross-sectional study was to: (a) estimate psychometric properties of instruments used to measure PRISC model indicator variables; (b) test the fit of the PRISC model with instrument-generated data; and (c) examine relationships among the LVs. The sample of 200 women had no cancer history and met established criteria for hereditary predisposition to breast cancer. Participants completed 12 self-report instruments. Analysis of instruments included descriptive statistics, estimates of internal consistency, and confirmatory factor analysis. Testing of the PRISC model used structural equation modeling (SEM) techniques. Psychometric analysis indicated eight instruments had acceptable standardized alpha coefficients of at least .70. Items in most scales loaded on one factor. SEM resulted in two models: one fit acceptably with the data but did not support relationships between LVs Awareness and Perceived Risk and Perceived Risk and Support. Respecification of the model (deleting Perceived Risk) resulted in poor fit with the data, but significant correlations between Awareness and Fear, Fear and Action, and Support and Action. Instability of the PRISC model indicated the need for theory-driven respecification and reconsideration of some instruments for future analysis. Although instability precludes generalization of findings, the model suggests that fear and support may positively predict action to reduce cancer risk.
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Books on the topic "Perceived risk"

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Mitchell, Vincent-Wayne. Consumer services: A perceived risk analysis. Manchester: Manchester School of Management, 1992.

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Mitchell, Vincent-Wayne. Perceived risk and risk reduction: Establishing reliability, generalizability and cross validation. Manchester: UMIST, Manchester School of Management, 1992.

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Drottz-Sjöberg, Britt-Marie. Trains and transports: Perceived and real risks. Brussels: European Institute for Advanced Studies in Management, 1992.

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Mitchell, Vincent-Wayne. Cross-cultural consumer research: Examining the perceived risk construct. Manchester: UMIST, Manchester School of Management, 1994.

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Mastori, D. M. The perceived risk of banks when purchasing advertising services. Manchester: UMIST, 1995.

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Mitchell, Vincent-Wayne. Age, sex and social class: Their effect on perceived risk and risk reduction. Manchester: Manchester School of Management, 1993.

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O'Rourke, Brian P. Qualitative insights into perceived risk in the home tourist market. Dublin: UniversityCollege Dublin, 1991.

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Harrell, W. Andrew. Perceived risk of work-related injury and intentions to change employment. Edmonton, Alberta: Department of Sociology, The University of Alberta, 1985.

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Mishra, Hari Govind. Buying impulsive trait: An effective moderator for shopping emotions and perceived risk. Ahmedabad: Indian Institute of Management, 2014.

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Perceived risk: A critical review of applications and use over 30 years. Manchester: Manchester School of Management, UMIST, 1994.

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Book chapters on the topic "Perceived risk"

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Gidron, Yori. "Perceived Risk." In Encyclopedia of Behavioral Medicine, 1645–46. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_1554.

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Gidron, Yori. "Perceived Risk." In Encyclopedia of Behavioral Medicine, 1453. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_1554.

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Gidron, Yori. "Perceived Risk." In Encyclopedia of Behavioral Medicine, 1–2. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4614-6439-6_1554-2.

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Roccato, Michele, Silvia Russo, and Alessio Vieno. "Perceived Risk of Crime." In Encyclopedia of Quality of Life and Well-Being Research, 4707–10. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_4115.

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Roccato, Michele, Silvia Russo, and Alessio Vieno. "Perceived Risk of Crime." In Encyclopedia of Quality of Life and Well-Being Research, 5083–86. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17299-1_4115.

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Raue, Martina, Bernhard Streicher, Eva Lermer, and Dieter Frey. "Perceived Safety While Engaging in Risk Sports." In Risk Engineering, 139–50. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11456-5_9.

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Tian-Que, Liu. "Perceived Risk in Marketing Strategy." In Advances in Intelligent and Soft Computing, 175–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27966-9_25.

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Baird, Thomas R., Inga S. Baird, and Maurice G. Clabaugh. "Perceived Risk and Voting Behavior." In Proceedings of the 1982 Academy of Marketing Science (AMS) Annual Conference, 335–40. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16946-0_79.

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Geller, E. Scott. "Sensation, Perception, and Perceived Risk." In Actively Caring for Safety, 44–55. 3rd ed. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781003438564-7.

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Ackermann, Tobias. "Evaluation of Perceived IT Security Risks." In IT Security Risk Management, 27–84. Wiesbaden: Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-658-01115-4_3.

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Conference papers on the topic "Perceived risk"

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Asnar, Yudistira, and Nicola Zannone. "Perceived risk assessment." In the 4th ACM workshop. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1456362.1456375.

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Mirza, Agus Muhammad, Yudi Fernando, Fineke Mergeresa, Ika Sari Wahyuni-Td, Ridho Bramulya Ikhsan, and Erick Fernando. "Psychological Risk, Security Risk and Perceived Risk of the Cryptocurrency Usage." In 2023 IEEE 9th International Conference on Computing, Engineering and Design (ICCED). IEEE, 2023. http://dx.doi.org/10.1109/icced60214.2023.10425190.

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Sudibyo, Hari, Gabriela Amorita Hartanti, Ridho Bramulya Ikhsan, and Yuniarty. "Perceived Risk in Online Purchase Intention." In 2020 International Conference on Information Management and Technology (ICIMTech). IEEE, 2020. http://dx.doi.org/10.1109/icimtech50083.2020.9211221.

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Ferreira, Fernanda A., Conceição Castro, and Vitória Carvalho. "Tourism, terrorism, perceived risk and media." In CENTRAL EUROPEAN SYMPOSIUM ON THERMOPHYSICS 2019 (CEST). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5114095.

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Dinet, Jérôme. ""Would You be Friends with a Robot?”: The Impact of Perceived Autonomy and Perceived Risk." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002306.

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This paper is aiming to investigate the impact of perceived autonomy and perceived risk on attitudes and opinion about two assistive robots (Paro© and Asimo©), as factors explaining the probability to become “friend” with a robot. The worldwide population of elderly people is growing rapidly and in the coming decades the proportion of older people in the developed countries will change significantly. This demographic shift will create a huge increase in demand for domestic and health-care robotics systems. But the spread of robots in everyday life particularly for purposes of healthcare already gives rise to questions about acceptability, moral and legal responsibility. A robotics system can be powerful and useful, there is not a reason why this system is usable and/or desirable and in fine, accepted. It is still unclear how well these new “faux-people” will be accepted by society, for they raise fundamental questions about what it means to be human, especially at home or in nursing house.METHOD. In a large online survey conducted in France, 2 783 participants (936 adolescents with a mean-age of 12.2 years; 1077 adults with a mean-age of 33.4 years; and 770 seniors with a mean-age of 71.3 years) were asked to complete three questionnaires: (1) The DOSPERT scale (for Domain-Specific Risk-Taking; Blais & Weber, 2006) to assess risk attitude and perception of risks for our participants; (2) The revised version of the FQUA-R scale (for Friendship Quality- Revised; Thien, Razak & Jamil, 2012) to assess close relationships and potential friendship with a robot; (3) The PAS (for Perception of Autonomy Scale; Lombard & Dinet, 2015) to assess positive and negative attitudes towards autonomy of robots. Each participant was asked to complete the three questionnaires twice: before and after viewing two videos showing two assistive robots (Paro© and Asimo©) interacting with human people: In one of the videos, a young woman interacts with the robotic baby-seal Paro©, and gives many explanations about the interests for elderly people (“Paro© gives kindness”, “its allows to create an attachment”). Moreover, we can see an elderly woman who caresses Paro©. In the other video, several physical characteristics of Asimo© are presented (size, weight) and the robot performs several tasks by interacting with a young woman (Asimo© walks, runs, plays football, opens a bottle, serves a glass, etc.).RESULTS AND DISCUSSION. For the two robots, structural equation modelling was used to determine the relationships between all the variables. Results have mainly showed that (i) Perceived risk is mainly and significantly explained by attitudes about risks in health and social domains whatever the gender and the age, and (ii) Perceived autonomy has a direct and positive effect on Friendship quality. In other words, our results tend to confirm that our three factors (perceived risk, perceived autonomy and friendship) are strongly interrelated and should be integrated in studies investigating the acceptability of assistive robots, and confirm that these three factors have different impact according to the physical appearance of the robot (human-like for Asimo© or animal-like shape for Paro©). Industrial and theoretical perspectives are discussed.
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Handoko, Bambang Leo, Given Name Siswono, and Julyanka Mustika Azani. "Analysis of Perceived Risk, Perceived Trust, Perceived Security Factors on Consumer Intention using E-Payment." In ICEMC 2022: 2022 8th International Conference on E-business and Mobile Commerce. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3543106.3543109.

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Kalburan, Çetin, and Selçuk Burak Haşıloğlu. "Consumers' Perceived Risks and Risk Reduction Efforts in Internet Shopping." In International Conference on Eurasian Economies. Eurasian Economists Association, 2015. http://dx.doi.org/10.36880/c06.01432.

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Becoming widespread of Internet increases share of electronic commerce (E-commerce) in the economy each passing day. Therefore, analysis of the behaviors of consumers who are shopping on the Internet has become more important for companies. Consumers have more or less risk perception because of possible problems they may face in the post-shopping. Usually, consumers make an effort to reduce this risk. These efforts to reduce risk play a key role between perceived risk and perceived benefit. On the other hand, perceived risk and risk reduction methods vary on the Internet in comparison to traditional commerce. From this point of view, in this study, for online shopping, the relationships between perceived risk and risk reduction variables were investigated on the basis of the different products.
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Butler, Ben, Andreas Grossmann, Joe Parlin, and Chet Sekhon. "Overcoming the Perceived Risk of Multilateral Wells." In SPE Offshore Europe Conference and Exhibition. Society of Petroleum Engineers, 2015. http://dx.doi.org/10.2118/175437-ms.

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Ruizhong, Du, Ma Xiaoxue, and Wang Zixian. "Dynamic Trust Model Based on Perceived Risk." In 2010 International Conference on E-Business and E-Government (ICEE). IEEE, 2010. http://dx.doi.org/10.1109/icee.2010.515.

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Cheng, Shuang, Sang-Joon Lee, and Kyeong-Rak Lee. "Perceived Risk of Mobile Banking in China." In Mobile and Wireless 2013. Science & Engineering Research Support soCiety, 2013. http://dx.doi.org/10.14257/astl.2013.42.32.

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Reports on the topic "Perceived risk"

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Allison, T., and F. Calzonetti. How significant is perceived environmental risk to business location decisions? Office of Scientific and Technical Information (OSTI), December 1996. http://dx.doi.org/10.2172/434864.

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Poole, Elizabeth M. Psychosocial Stress and Ovarian Cancer Risk: Metabolomics and Perceived Stress. Fort Belvoir, VA: Defense Technical Information Center, October 2014. http://dx.doi.org/10.21236/ada613203.

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Bennet-Costi, Betsy. Perceived Administrative Support for Teachers of Urban At-risk Students. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1258.

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Schaller, Jessamyn, Lisa Schulkind, and Teny Maghakian Shapiro. The Effects of Perceived Disease Risk and Access Costs on Infant Immunization. Cambridge, MA: National Bureau of Economic Research, October 2017. http://dx.doi.org/10.3386/w23923.

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Hassan, Tarek A., Jesse Schreger, Markus Schwedeler, and Ahmed Tahoun. Country Risk. Institute for New Economic Thinking Working Paper Series, March 2021. http://dx.doi.org/10.36687/inetwp157.

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We construct new measures of country risk and sentiment as perceived by global investors and executives using textual analysis of the quarterly earnings calls of publicly listed firms around the world. Our quarterly measures cover 45 countries from 2002-2020. We use our measures to provide a novel characterization of country risk and to provide a harmonized definition of crises. We demonstrate that elevated perceptions of a country's riskiness are associated with significant falls in local asset prices and capital outflows, even after global financial conditions are controlled for. Increases in country risk are associated with reductions in firm-level investment and employment. We also show direct evidence of a novel type of contagion, where foreign risk is transmitted across borders through firm-level exposures. Exposed firms suffer falling market valuations and significantly retrench their hiring and investment in response to crises abroad. Finally, we provide direct evidence that heterogeneous currency loadings on global risk help explain the cross-country pattern of interest rates and currency risk premia.
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Park, Hyejune, and Cosette Marie Joyner Armstrong. Will "no-ownership" work for apparel? The endowment effect and perceived risk of collaborative consumption. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-1772.

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Slovic, P., M. Layman, N. Kraus, J. Chalmers, G. Gesel, and J. Flynn. Perceived risk, stigma, and potential economic impacts of a high-level nuclear waste repository in Nevada. Office of Scientific and Technical Information (OSTI), July 1989. http://dx.doi.org/10.2172/137579.

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Esserman, Laura, Arash Naeim, Ryan Baxter-King, Neil Wenger, Karen Sepucha, Annette Stanton, Aaron Rudkin, et al. Relationship between Perceived Risk and Preventive Health Behaviors during the COVID-19 Pandemic -- The WISDOM Study. Patient-Centered Outcomes Research Institute (PCORI), May 2023. http://dx.doi.org/10.25302/05.2023.pcs.140210749.

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Esserman, Laura, Arash Naeim, Ryan Baxter-King, Neil Wenger, Karen Sepucha, Annette Stanton, Aaron Rudkin, et al. Relationship between Perceived Risk and Preventive Health Behaviors during the COVID-19 Pandemic -- The WISDOM Study. Patient-Centered Outcomes Research Institute (PCORI), February 2024. http://dx.doi.org/10.25302/05.2023.pcs.140210749_c19.

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Trivelli, Carolina, Sergio Navajas, Mark D. Wenner, and Alvaro Tarazona. Managing Credit Risk in Rural Financial Institutions in Latin America. Inter-American Development Bank, May 2007. http://dx.doi.org/10.18235/0008848.

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The purpose of this report is to review common credit risk management techniques used in a sample of Latin American financial institutions with agricultural portfolios, identify the factors that contribute to successful credit risk management as measured by several key financial performance indicators in order to assist donors, governments, and owners of financial institutions to promote and adopt the most efficient and robust techniques. This report also examines a sample of 42 financial institutions in Latin America that have agricultural portfolios, and identifies their principal perceived risks, how they asses and manage credit risk, and how effective they are in the process as measured by key financial performance indicators (such as asset quality, portfolio growth, and profit margins).
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