i Based on theory from consumer behavior and cognitive psychology, the purpose of this paper is to discuss and test corporate image and customer satisfaction as two routes to customer loyalty. Based on data from 600 individual customers categorized as having high or low service expertise of three companies within the package tour industry, a conceptual model is proposed and tested empirically u...

We analyze the strategic decision of firms to voluntarily certify corporate social responsibility (CSR) practices in a context where other firms can falsely pretend to be socially responsible. Equilibrium outcomes are crucially determined by consumers' beliefs about the credibility of firms' CSR claims, which depend in turn on the (expected) fines for fraud. First, we show that an increase in s...

The increase in the numbers of both public and private higher learning institutions (HLI) in Malaysia has resulted in the industry becoming relatively very competitive. The situation calls for HLIs to focus on establishing a strong corporate image and providing student satisfaction to secure their loyalty. Delivering quality services would lead to student satisfaction and loyalty. This study re...

corporate support for entrepreneurship is the most important element for the development of corporate entrepreneurship and is considered as one of the main corporate entrepreneurial antecedents. it involves trust in corporate staff and training them for promoting recognition of opportunities, exploring new and valuable resources, innovative productions and profit-making processes. corporate sup...

Abstract.
 The Covid-19 has put Indonesia on the verge of an economic recession, causing companies to drastically decline. Therefore, purpose this study is find out activities PT. X Regional III-West Java in improving corporate image through CSR Free Online Learning Program. research method used a qualitative with case approach. By using triangulation source data analysis techniques. resul...

Previously, we proposed an approach for corporate decision making with self-organizing patent maps labeled by technical terms and AHP. First, we extracted keywords by text mining to transform patent documents into feature vectors of the companies. Second, we inputted the feature matrix of technical terms and company names into self-organizing maps to create patent maps labeled by the technical ...