This study investigates the thematic content of Facebook disclosures from small local banks (SLBs) in Poland, their impact on Facebook users' attention, and the economic repercussions for SLBs' growth and performance. Based on the specificity of SLBs and existing empirical evidence, it...

The main research aim is to investigate and test the long-term existence of a balanced relationship (cointegration) between business demographics and economic growth, expressed in terms of real GDP per capita, and to estimate the econometric models expressing relationships between analyzed...

The issue of trust-based personal data disclosure online remains of high importance both in social networking and online purchasing. Additionally, social networking is linked with a controversial factor of conspiracy beliefs that recently received attention because of Covid-19 pandemic....

Energy waste is an emerging issue worldwide, with energy conservation goals, such as conscious energy consumption, playing a crucial role in helping the environment. The rapid growth of smart appliances has led to the development of mobile applications, with an increased interest among...

The purpose of this article is to provide a robust and consistent cross-country measurement of the smart-shopper self-concept. Drawing on existing single-country studies, our work extends research by validating a pioneer cross-country scale that measures the smart-shopping mechanism in a...

Data Envelopment Analysis (DEA) is a relative measure of efficiency applied to a set of decision units and is being used more and more frequently in the supermarket sector. Nonetheless, given how strongly the sector's financials depend on demand, companies need to combine this measurement with...

This study explores the risk-based effects of negative electronic word-of-mouth (neWOM) perception (financial and performance risks) on electronic word-of-mouth (eWOM) credibility and purchase intention for promotion- and prevention-focused consumers. In this experimental study, a survey was...

This study conducts a dynamic rolling comparison between the Pareto/NBD model (parametric model) and machine learning algorithms (observation-driven models) in customer base analysis, which the literature has not comprehensively investigated before. The aim is to find the comparative edge of...

There is a gap in literature as to how multidimensional satisfaction fits into a nomological network with continuity, coordination and cooperation. Furthermore, most studies focusing on these constructs are limited to a buyer perspective. The objective of this study is to fill this gap by...