Search results

This study investigates the influence of e-marketing risks on a Corporation’s Reputation (CR) resulting from its online marketing of products and services.

A comprehensive analysis was conducted to enhance the company’s e-marketing strategies and bolster its reputation in the market. This involved an investigation into key factors of e-marketing risks, such as customer confidence, product quality, marketing fraud, credibility and customer knowledge and proficiency in using online platforms. These factors have directly impacted the company’s reputation, including aspects such as product/service quality, attractiveness, performance and commitment to social responsibility.

Its finding indicates that customers' lack of confidence in e-marketing has a strong impact on CR, followed by product quality and credibility. The absence of consumer awareness about e-marketing websites and e-fraud frequently negatively affects the organizational reputation.

To enhance the corporation’s reputation, it is recommended that companies provide educational resources on online shopping, including guidance on using the company’s website, comparing prices and other services that facilitate online purchases. This will help to support the credibility of e-marketing and enhance customer trust.

This research is an exploration of how e-marketing has affected a Corporation’s Reputation. It provides modern knowledge about the dynamic interplay between digital strategies and brand perception. Investigating this relationship provides valuable insights into the evolving landscape of consumer trust in the digital age. By analysing the various ways in which e-marketing influences a company’s reputation, innovative approaches can be developed to enhance its online presence and build lasting customer trust.

This paper aims to assess the impact of credit risk on the market values of private banks during the corona pandemic.

This study is identifying critical issues of credit risk at six great private banks. A conceptual framework is designed based on the Tobin Q model for investigating study hypotheses. Quantitative financial analysis methods have been used for processing data, such as financial ratios, arithmetic mean and multiple linear regression.

The most important result of this study is the lack of influence of credit risk on the market value of selected banks. Because the dimensions of credit risk have critical importance in increasing or decreasing the market value, these banks must continue to adopt quantitative financial analysis to measure credit risks to avoid their risk.

This study elaborates the need for financial indicators to help assess the market value of banks during the economic crises caused by the closure of commercial institutions during the corona pandemic. There is continued increase in bank credit to support these institutions, borrowers and cash withdrawals, which may affect their market reputation.