Wednesday, May 6, 2020
Consumer Risk for Risk Modeling and Assessment- myassignmenthelp
Question: Discuss about the Consumer Risk for Risk Modeling and Assessment. Answer: Brief summary of the theory and progression in the field. According to (Aven 2015, p 231) consumer risk is a pecuniary concept concerning to the risk consumers are alacritous to take when acquiring goods or services. While risk is habitually unavoidable in trades, consumers try to alleviate risk by enlightening themselves before procuring goods and amenities. Clients also try to avoid intellectual dissention from economic dealings, ordinarily known as "buyer's repentance." Hashing risk in purchases helps purchasers feel better with the transaction. In consumer, risks there are different types of risks and among them is the personal risk. It involves clients who might jeopardize themselves by procuring certain goods or services. Some consumptions might require a convinced level of familiarity to use correctly, accumulating personal risk. The other risk is the social risk that involves a consumer's alleged standing with others grounded on a purchase. This sort of consumer risk may only be associated to the social discernments of the buyer, rather than detained by the entire market. Whichever way, social risk entails of society looking disapprovingly on a consumer who purchases goods or services reckoned extravagant, unnecessary or unsuitable (Mitchell, 2015, p71). Consumers who are normally not willing to facade communal risk avoid acquiring these products or buy them covertly, avoiding negative remarks from other customers. The last risk is the economic risk, which is the traditional financial dangers consumers aspect. Mutual ec onomic risks involve the acquisition of overpriced merchandises, inferior proxies or goods with partial use. Consumers also face the pecuniary theory of prospect costs, which is procuring a good today and preceding the ability to save the money for a greater purchase or as a welfare net for poor financial periods (Mitchell 2015, p 123). The consumer may only observe economic risk since each decent or facility is valued differently by each customer. Common themes available from the aspects The themes that are common in the qualitative and quantitative analysis is that both consumer risks analysis models have resemblance points such as indecision number and values is foremost. In quantitative risk assessment model, when one takes a quick look at the annualized rate of occurrence the price that represents the projected frequency of a precise threat-taking place within a period of twelve months (Wong 2014, p 156). Quantitative and qualitative consumer risk analysis are employed in amalgam approach. Qualitative consumer risk analysis tends to be used in estimating the cost of consumer risk in financial terms and on the other hand quantitative consumer risk examination can be used to opinion likelihood of conciliation from opinion of officers in many organizational areas. The two models are the fragment of complex approaches to wrinkle actual data as much as conceivable, the risk (consumer) specialist team used many plans included the two replicas to address consumer risk f rom many influences (Justyna Grzegorz, 2015, p 234). Amalgamation of the two-consumer risks analysis has to equilibrium cost/benefit of consumer risk and connect with commercial objectives thus maintaining consumer risks philosophies. Different findings across the consumer risks analysis. In qualitative consumer risk analysis, it lines up the identified shopper risks using a predefined assessment scale. In this aspect, perils scoring is always grounded on their probability or possibility of happening and the influence on project objectives ought they to occur. According to (Haimes, 2015, p89) probability is frequently categorized on a zero to one gauge where the impact scale definition is structured. A qualitative consumer risk analysis will also embrace the appropriate risks categorization, any of source-based or effect-based. Unlike qualitative consumer risks analysis, the quantitative risk (consumer) analysis is a supplementary analysis of the uppermost priority risks throughout which an arithmetical or quantitative ranking is assigned to command to develop a probabilistic investigation of the project. According to (Sandstorm 2016, p 155) quantitative analysis enumerates the possible upshots for the project and considers the probability of realizing specific project aims. It delivers a quantitative tactic to making decisions when there is indecision and creates a convincing and achievable price, schedule or scope objectives. Unlike in qualitative consumer risks analysis, here for one to conduct a quantitative risk investigation, one will need high-quality information, a well-developed scheme model, and ranked lists of project dangers. Study limitations and how they differ. There are limitations in each research about consumer risks, and they tend to differ across both. In qualitative consumer risk analysis the time and outlays involved, it does not draw illustrations from large-scale data cliques. In addition, there is passable validity or reliability limitation, which tends to be a vital disparagement. There is a lengthy time limitation of data collection requirement, analysis, and interpretation (McNeil et al. 2015). Limitations of quantitative consumer risk is that experiments do not take residence in natural surroundings. In addition, they do not permit participants to elucidate their choices, or the connotation of the enquiries may have for those contestants (Embrechts et al. 2015). Another limitation is the requirement of large sample sizes for more exact analysis. Small-scale quantitative revisions may be less dependable because of low data magnitude. These limitations tend to differ in the sense that quantitative consumer risk design cases of bias may arise as research emphasis on theory or supposition testing rather than on hypothesis generation, which is the case in qualitative consumer risk design. Proposed future research directions. According to the findings of the both research on consumer risks topic, the risks should be well evaluated to ensure that a particular customer is in position to acquire goods/services are less risky in acquirance. The design to be considered in consumer risk assessment should be one displaying lesser limitations as the probability of getting better results will be favored by the low limitations displayed by that particular design. It is recommended that consumer risk should be well analyzed by marketers and individuals before they purchase any product in the market (Zimmerman Baur, 2016, p23). For future studies, it is also recommended that analysis of consumer risks, carried out both methods should be employed to yield high dependable results to the end user. References Aven, T. (2015). Risk analysis. John Wiley Sons. Haimes, Y. Y. (2015). Risk modeling, assessment, and management. John Wiley Sons. Justyna, B., Grzegorz, M. (2015). Multivariate data in the estimation of consumer risk. Ekonometria, (3 (49)), 20-32. McNeil, A. J., Frey, R., Embrechts, P. (2015). Quantitative risk management: Concepts, techniques and tools. Princeton university press. Mitchell, V. W. (2015). 30 years of perceived risk: Some research issues. In Proceedings of the 1994 Academy of Marketing Science (AMS) Annual Conference (pp. 350-355). Springer, Cham. Sandstrm, A. (2016). Handbook of solvency for actuaries and risk managers: theory and practice. CRC Press. Wong, C. (2014). The Australia-India Nuclear DealA Qualitative Risk Analysis Perspective. Australian Resources and Investment, 8(4), 155-156. Zimmerman, J. M., Baur, S. (2016). Understanding How Consumer Risks in Digital Social Payments Can Erode Their Financial Inclusion Potential.
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