How Do Recommender Systems Lead to Consumer Purchases? A Causal Mediation Analysis of a Field Experiment

Author(s):  
Xitong Li ◽  
Jörn Grahl ◽  
Oliver Hinz

The findings underscore the important role of consumers’ consideration sets in mediating the positive effects of recommender systems on consumer purchases. Practical strategies can be developed to facilitate the formation of the consideration sets. For example, to reduce consumers’ search costs and cognitive efforts, online retailers can display the recommended products in a descending order according to the predicted closeness of consumers’ preferences. Online retailers can further indicate the predicted closeness scores of consumers’ preferences for the recommended products. Given such a placement arrangement, consumers can quickly screen the recommended products and add the most relevant alternatives to their consideration sets, which should facilitate consumers’ shopping process and increase the shopping satisfaction. The findings also suggest that a larger consideration set due to the use of recommender systems could induce consumers to buy. Yet, it is difficult for consumers to manage many alternatives when the consideration set is very large. To facilitate consumers’ shopping process, online retailers need to consider strategies and tools that help consumers manage the alternatives in the consideration set in a better-organized manner and facilitate the comparison across the alternatives.

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Anne Kavanagh ◽  
Nicola Fortune ◽  
George Disney ◽  
Zoe Aitken ◽  
Samia Badji

Abstract Focus and outcomes for participants The symposium will focus on the role of epidemiologists in building an evidence base to improve the health of the 15% of the world’s population with disability who currently experience vast health inequalities. Participants will be introduced to new ways of conceptualising disability in epidemiology; state of the art approaches to monitoring disability-related socio-economic and health inequalities; methodological challenges and solutions to address the biases due to misclassification, confounding and reverse causation; and the application of causal mediation analysis and natural experiments in identifying potential policy solutions. Participants will gain a greater understanding of how epidemiological methods can be applied to improve the health of people with disability, as well as insights and ideas for their research. A network of epidemiologists interested in this topic will be generated to foster ongoing communication and collaborative opportunities. Rationale for the symposium, including for its inclusion in the Congress The health of disabled people has largely been ignored by epidemiologists. This is despite emerging evidence that people with disability experience poorer health because of factors unrelated to their impairment, including socio-economic disadvantage, discrimination, and violence. However, turning epidemiologists’ efforts to the health of people with disability presents conceptual and methodological challenges, some of which are unique to the content area. Participants will be shown a suite of approaches that can be deployed to address these problems. Participatory methods and innovative graphical and statistical methods for analysing disability-related health inequalities, approaches rarely used in epidemiology, will be covered. The symposium will also concentrate on the application of methods to optimise causal inference in the presence of multiple potential biases, and methods that simulate randomised controlled trial conditions to model policy interventions. Presentation program The presentations are from researchers from the CRE-DH, funded through Australia’s National Health and Medical Research Council organised four themes. Theme 1: Conceptualisation of disability We will present findings from a scoping review of original articles in epidemiology journals and will argue that, while, disability is usually conceptualised in epidemiology as an outcome, reconceiving of disability as an exposure, mediator and/or effect modifier can provide important insights on the determinants of health of people with disability. Theme 2: Monitoring disability-related inequalities We will demonstrate how the CRE-DH has used participatory methods, where people with disability are ‘experts through lived experience’, to develop indicators to monitor disability-related inequalities and design a National Community Attitudes survey. We will demonstrate innovative ways to graphically illustrate prevalence, absolute and relative inequalities simultaneously, and discuss how hierarchical Bayesian methods can be used to overcome inadequate power due to disaggregation and assess inequalities under uncertainty. Theme 3: Approaches to minimising bias We will talk about how biases can affect estimates of disability prevalence and disability-outcome associations, including reverse causation, confounding and misclassification. We will discuss a range of approaches we have used to address these challenges including modelling incident (rather than prevalent) disability, using fixed effects models and propensity score approaches, and approaches to addressing misclassification bias drawing on examples from our program of research. Theme 4: Identification of policy interventions We will discuss methods that can be used to model the impact of policies on the health of people with disability using examples from our research. We will present the results of a causal mediation analysis modelling the impact of different employment policy interventions on mental health outcomes. We will illustrate the value of natural policy experiments for estimating effects of policy changes on employment and health of people with disability using two examples – the 2014 reassessment of Disability Support Pensioners under stricter impairment tables and the introduction of Australia’s National Disability Insurance Scheme. The symposium will conclude with a facilitated discussion focussed on how epidemiologists can come together internationally to grasp the opportunities and address the challenges in research focussed on the health of people with disabilities. Names of presenters Professor Anne Kavanagh, PhD Dr Nicola Fortune, PhD Dr George Disney, PhD Dr Zoe Aitken Dr Samia Badji, PhD


2019 ◽  
Author(s):  
Jouni Kuha ◽  
Erzsebet Bukodi ◽  
John H Goldthorpe

We analyse levels and trends of intergenerational social class mobility among three post-war birth cohorts in Britain, and examine how much of the observed mobility or immobility in them could be accounted for by existing differences in educational attainment between people from different class backgrounds. We propose for this purpose a method which quantifies associations between categorical variables when we compare groups which differ only in the distribution of a mediating variable such as education. This is analogous to estimation of indirect effects in causal mediation analysis, but is here developed to define and estimate population associations of variables. We propose estimators for these associations, which depend only on fitted values from models for the mediator and outcome variables, and variance estimators for them. The analysis shows that the part that differences in education play in intergenerational class mobility is by no means so dominant as has been supposed, and that while it varies with gender and with particular mobility transitions, it shows no tendency to increase over time.


2014 ◽  
pp. 53-64 ◽  
Author(s):  
E. Andreyashchenko ◽  
A. Zazdravnykh

This article is an attempt of summarizing key economic approaches to cartel agreements analysis, its stability, ways of estimating social consequences of cartel agreements. It is alleged that the traditional way of understanding the cartels’ role as completely negative is not accurate; this type of inter-corporate agreements may also bring positive effects on industrial markets. Typical limits of analytical apparatus, contradictions that appear while interpreting results of specific economic models are also represented in the article, as well as substantiation of a discrete role of pricing factor within the analysis of anti-competitive agreements.


2020 ◽  
Author(s):  
Muhamad Helmy Sabtu ◽  
◽  
Khairul Azman Mohamad Suhaimy ◽  
Nurul Aimi Razali

This article analyses the role of state in the policy of economic liberalisation in Vietnam. Doi Moi, which was launched in 1986, is a very influential and effective policy in changing the socio-economic landscape of the people in the country. The results of this study prove that there are positive effects on the increase of foreign investment inflows, the eradication of starvation and unruly poverty, the increase of level of education, the improvement of gender equality and women's rights as well as the sustainability of the environment after Doi Moi is implemented. Through Doi Moi, Vietnam is moving towards a developing country status with good economic performance both at the Southeast Asian and global.


2019 ◽  
Author(s):  
Yu-Hsuan Lin ◽  
Kuan-I Lin ◽  
Yuan-Chien Pan ◽  
Sheng-Hsuan Lin

BACKGROUND Phantom vibrations syndrome (PVS) and phantom ringing syndrome (PRS) are prevalent hallucinations during medical internship. Depression and anxiety are probably understudied risk factors of PVS and PRS. OBJECTIVE The aim of this study was to investigate the role of anxiety and depression on the relationship between working stress during medical internship and PVS and PRS. METHODS A prospective longitudinal study of 74 medical interns was carried out using repeated investigations of the severity of phantom vibrations and ringing, as well as accompanying symptoms of anxiety and depression as measured by Beck Anxiety Inventory and the Beck Depression Inventory before, at the 3rd, 6th, and 12th month during internship, and 2 weeks after internship. We conducted a causal mediation analysis to investigate the role of depression and anxiety in the mechanism of working stress during medical internship inducing PVS and PRS. RESULTS The results showed that depression explained 21.9% and 8.4% for stress-induced PRS and PVS, respectively. In addition, anxiety explained 15.0% and 7.8% for stress-induced PRS and PVS, respectively. CONCLUSIONS Our findings showed both depression and anxiety can explain a portion of stress-induced PVS and PRS during medical internship and might be more important in clinical practice and benefit to prevention of work-related burnout.


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