Factors Influencing Consumer Behavior and Prospective Purchase Decisions in a Dynamic Pricing Environment—An Exploratory Factor Analysis Approach

Victor, Vijay; Thoppan, Jose Joy; Nathan, Robert Jeyakumar; Fekete-Farkas, Mária

doi:10.3390/socsci7090153

Cited by 76 publications

(59 citation statements)

References 32 publications

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“…Adapting the technology for specific purposes and improving infrastructure for bringing more services online provide familiarity and comfort for the users [1, 4,5]. However, today there is much uncertainty about the convergence between online and off-line buyer behaviour and how this can increase profitability in both online and offline environments.…”

Section: Introductionmentioning

confidence: 99%

An Analysis of the Impact of Personality Traits towards Augmented Reality in Online Shopping

2021

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The Internet as a shopping and purchasing medium has become an extensively researched topic. Augmented realty, in particular, allows consumers to explore their options and make personalised changes while shopping online. Our study aims to analyse the symmetry between the attitudes towards using the traditional electronic online shopping and the electronic commerce that uses augmented reality. We also investigate the effects of personality traits and the attitudes towards the Internet on the two electronic commerce forms. Our results show that the buying intention in online shopping is significantly higher in the case of augmented reality. Our results also reveal associations between personality traits and online buying behaviours, i.e., neuroticism and the openness to experiences being associated with the willingness to buy online. On the other hand, personality traits are proved to predict buying impulsiveness, the highest weight being represented by low emotional stability and high external locus of control. Further research should also include other dimensions, such as the perceived risks associated with online purchasing, self-efficacy or anxiety towards technology.

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Section: Introductionmentioning

confidence: 99%

An Analysis of the Impact of Personality Traits towards Augmented Reality in Online Shopping

2021

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“…It is quite interesting to note the similarities and the differences in results with the previous researches (Victor et al, 2018a, Victor et al, 2018b) that was carried out in another fast growing E-Commerce market i.e. India.…”

Section: Discussionmentioning

confidence: 61%

“…The construct is used to explain the intentions of a consumer to wait for price mark downs in a personalized dynamic pricing context based on the influence of various other constructs under study. Since intentions do not always necessarily lead to actual decisions (Perugini & Bagozzi, 2004), another construct was used to measure the actual desires of consumers to display a strategic purchase behaviour which was adopted from the previous research (Victor et al, 2018a). Strategic purchase behaviour in this context means the consumers' intentions to track product prices online and wait for price markdowns to make a purchase.…”

Section: Research Background and Theory Buildingmentioning

confidence: 99%

“…Several previous studies (Haws & Bearden, 2006;Dai, 2010;Stefko et al, 2011;Le & Liaw, 2017;Victor et al, 2018a) examined the changes in consumer behaviour in an online dynamic pricing context. This study proposes to extend the results by taking into account of the behaviour of consumers in the E-Commerce segment of one of the fastest growing Central European Countries.…”

Section: Introductionmentioning

confidence: 99%

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Pricing strategies in the era of digitalisation and the perceived shift in consumer behaviour of youth in Poland

Victor¹,

Thoppan²,

Fekete-Farkas³

et al. 2019

Journal of International Studies

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The advent of industry 4.0 along with the spread of Information and Communication Technology has brought about many pivotal changes in the E-Commerce segment. Technology driven pricing strategies like dynamic pricing has become very common across different industries all over the world. Today, online pricing has evolved into a very efficient and sophisticated pricing strategy where product prices are personalised and tailored to the last conceivable individual buying unit possessing similar characteristics. This study examines various traits exhibited by online consumers in a dynamic pricing environment and figure out the reasons for the display of strategic purchase behaviour by the consumers in response to the dynamic pricing strategy adopted by the sellers. The study was conducted among the Polish millennials as Poland has the median online market size and growth rate among the Central and Eastern European

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“…Low copayment had the lowest average rating on the Likert scale when considering the importance of outpatient medical choices among all patients. Changes to the health insurance system (e.g., changing the copayment to a fixed-rate coinsurance) may be the only method to eliminate unnecessary testing and medical waste ( Victor et al, 2018 ).…”

Section: Discussionmentioning

confidence: 99%

Why people select the outpatient clinic of medical centers: a nationwide analysis in Taiwan

Lin

Chang

Chen

et al. 2020

PeerJ

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Introduction In contrast to other countries, Taiwan’s National Health Insurance (NHI) program allows patients to freely select the specialists and tiers of medical care facility without a referral. Some medical centers in Taiwan receive over 10,000 outpatients per day. In the NHI program, the co-payment was increased for high-tier facilities for outpatient visits in 2002, 2005, and 2017. However, the policies only mildly reduced the use of high-tier medical care facilities. The main purpose of this study was to evaluate the factors contributing to the patients’ selection of the outpatient clinic of medical centers without a referral. Methods An online anonymous survey was conducted by using the Google Forms platform utilizing a self-constructed questionnaire from September to October 2018. A nationwide sample in Taiwan was recruited using convenience sampling through social media. Based on a literature review and a focus group, 20 factors that may affect the choice of the outpatient institution were constructed. The associations between items that affect the patients selection of outpatient clinics were assessed using exploratory factor analysis. Principal axis factoring was performed to identify the major factors affecting the decision. Multiple logistic regression was performed to determine which factors satisfactorily explained “visiting the outpatient clinic of the medical center for an illness without a referral.” Results During the survey period, 5,060 people browsed the online survey, and 1,003 responded and completed the online questionnaire. Therefore, the response rate was 19.8%. A total of 987 valid responses was collected. Exploratory factor analysis revealed that three main factors, namely the “physician factor”, “image and reputation factor”, and “facility and medication factor”, affected the selection of outpatient clinics. A series of logistic regressions indicated that patients who reported that hospital facilities, high-quality drugs, and diverse specialties were very important were more likely to select the outpatient clinic of a medical center (OR = 2.218, 95% CI [1.514–3.249]). Patients who reported that physician factors were very important were less likely to select a medical center (OR = 0.717, 95% CI [0.523–0.984]). Patients who were previously satisfied with their experience of the primary clinics or had a regular family doctor were less likely to choose a medical center (OR = 0.509, 95% CI -0.435–0.595] and OR = 0.676, 95% CI [0.471–0.969]). Conclusion In Taiwan, patients with good primary medical experience and regular family physicians had significantly lower rates by selecting the outpatient clinic of a medical center. The results of this study support that the key to establishing graded medical care is to prioritize the strengthening of the primary medical system.

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Factors Influencing Consumer Behavior and Prospective Purchase Decisions in a Dynamic Pricing Environment—An Exploratory Factor Analysis Approach

Cited by 76 publications

References 32 publications

An Analysis of the Impact of Personality Traits towards Augmented Reality in Online Shopping

An Analysis of the Impact of Personality Traits towards Augmented Reality in Online Shopping

Pricing strategies in the era of digitalisation and the perceived shift in consumer behaviour of youth in Poland

Why people select the outpatient clinic of medical centers: a nationwide analysis in Taiwan

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