2019
DOI: 10.14254/2071-8330.2019/12-3/7
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Pricing strategies in the era of digitalisation and the perceived shift in consumer behaviour of youth in Poland

Abstract: 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. Th… Show more

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Cited by 19 publications
(13 citation statements)
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References 51 publications
(49 reference statements)
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“…In order to estimate the model parameters, several discrepancy functions could be used. Publications that concentrate on SEM in social science more frequently use maximum likelihood (Ohunakin et al, 2018), generalised (Ejdys et al, 2019;Indartono & Faraz, 2019;Obidjon et al, 2017), partial (Nor Zainal & Kuppusamy, 2017;Alnsour, 2018;Hu et al, 2019;Victor et al, 2019) and weighted least squares (Suifan, 2019).…”
Section: Empirical Results and Discussionmentioning
confidence: 99%
“…In order to estimate the model parameters, several discrepancy functions could be used. Publications that concentrate on SEM in social science more frequently use maximum likelihood (Ohunakin et al, 2018), generalised (Ejdys et al, 2019;Indartono & Faraz, 2019;Obidjon et al, 2017), partial (Nor Zainal & Kuppusamy, 2017;Alnsour, 2018;Hu et al, 2019;Victor et al, 2019) and weighted least squares (Suifan, 2019).…”
Section: Empirical Results and Discussionmentioning
confidence: 99%
“…Because this issue appears all the more crucial for corporate strategies since attracting and retaining human capital is a key factor in competitiveness, companies should adapt their marketing strategies [20]. In simple words, strategic consumers make purchase decisions based on the information available and might delay their purchase if it does not maximize their utility [21]. They also turn to value-added information, providing preliminary data for more accurate planning, which represents a new approach for proactivity.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The following action of the free parameters estimate entails iterative procedures that ensure minimization of the margin obtained as subtraction of the model implied covariance matrix from the sample covariance matrix. In many empirical studies, the method of generalized least squares, weighted least squares and maximum likelihood have been applied for structural equation models parameters estimation (Alnsour, 2018, Hu et al, 2019, Victor et al, 2019, Indartono et al, 2019, Nazneen et al, 2020. However, the chosen parameter estimation method is not crucial since it produced estimates convergence to the same numerical values in case correctly specified theoretical model and multivariate normal observed variables.…”
Section: Measurement Modelmentioning
confidence: 99%