Search results

The purpose of this paper is to explore the link between political perspectives and the adoption of financial technology (fintech) mortgage lending, a new type of mortgage lending facilitated by online platforms.

The authors use fintech mortgage lending and presidential election data for the United States of America (USA) counties from 2010 to 2017. Employing several analysis techniques including ordinary least squares (OLS) regressions and propensity score matching (PSM) methodology, the authors test whether political views are related to fintech mortgage lending, after controlling for other county characteristics including population, unemployment rate, median income, median age, minority ratio and education.

The authors find that a higher tendency toward Republican views is positively associated with adoption rates of fintech mortgages. The empirical results are supported by Republican ideology, which advocates for deregulation and market-driven solutions, as well as an increasing skepticism among Republicans toward traditional banking and financial institutions.

This paper contributes to the growing body of literature on fintech credit. By focusing on political views to explain the adoption of fintech mortgage lending – a recent and potentially disruptive innovation – the authors provide new insights into the dynamics within fintech credit markets.

This study aims to critically analyze existing research on blockchain technology adoption, examining the dominant models and methodologies used, the primary domains where blockchain is applied and the emerging opportunities across various sectors.

Using a methodical systematic review approach, the authors meticulously examined a pool of 1,322 collected articles, subjecting 38 studies to rigorous assessment. Through this comprehensive analysis, the authors unveiled the key models and influential factors that intricately shape the trajectory of blockchain adoption.

The primary models identified for investigating blockchain adoption were the technology acceptance model and technology–organization–environment. Apart from the core variables within these models, the pivotal determinants influencing various blockchain applications include perceived trust, perceived cost and social influence. In addition, this study highlights supply chain management as a prominent domain for blockchain application adoption.

Understanding these influential factors and models can guide practical decisions and aid stakeholders in formulating effective strategies for blockchain adoption in diverse sectors.

This study contributes to advancing the understanding of blockchain adoption dynamics by unveiling the prevalent models and determinants shaping adoption. This study offers valuable insights into the factors influencing the use and adoption of blockchain technologies across diverse sectors.

This study investigates the influence of social media marketing (SMM) functionalities on perceived destination image (DI) and its dimensions, which in turn impact residents’ support for sustainable tourism development (SSTD). The study also examines the moderated mediation effect of the residency length and resident’s income in the indirect relationship between SMM and SSTD through the DI.

The best technique found appropriate for this study was the survey approach. To gather empirical data, people who currently reside in Alexandria completed 351 questionnaires via an online survey. The questionnaire was translated into Arabic while adhering to back-translation guidelines. SPSS and AMOS software were used to analyze the collected data.

It is found that there is a direct effect of SMM and its functionalities on overall DI and its dimensions. In addition, DI mediates the relationship between SMM and SSTD. These results hold valuable insights for academicians and practitioners in the tourism industry, potentially informing SMM strategies to support tourism activities.

This research introduces a novel framework emphasizing the functionalities of the SMM as a tool for enhancing both affective and cognitive DI and supporting sustainable tourism development. It contributes to the SMM and SSTD literature by examining the links between SMM functionalities and sustainable tourism development in emerging countries such as Egypt.