The homogenization of the banking segment has made it difficult for banking institutions to practice the quality of services that are needed in order to retain consumers. Thus, these days, finding ways to increase consumer loyalty—especially green loyalty—has become a challenge for the banking industry around the planet. Research has long acknowledged that corporate social responsibility (CSR) is a strategic concern that could help organizations to increase consumer loyalty. However, the impact of CSR practices on green consumer loyalty is rarely addressed in the extant literature. Hence, the present research investigated the impact of CSR on green consumer loyalty with the mediating effect of co-creation in the banking industry of Pakistan. The study also introduced green banking initiatives as a moderator between the mediated relation of CSR and green consumer loyalty, with the intention that such a moderator would strengthen this indirect relationship. The structural equation modeling technique was used for the data analysis. The results confirm that CSR enhances consumer loyalty, and that co-creation partially mediates this relationship. Furthermore, green banking initiatives further strengthen this relation. The results of the current survey could help banking institutions learn how they can develop core strategic considerations based on the integration of CSR co-creation and green banking initiatives.

One of the latest innovations in business and technology is the use of big data, as daily data are generated by billions of events. The big data issue is now considered in the accountants and finance professionals’ field as one of the most important sources for the analysis of financial products and services. This study is very innovative, with our research aiming to identify the opportunities, challenges, and implications of big data in the finance area. It is our purpose to find competitive advantages in terms of the extent to which big data brings visible benefits, also pointing out the challenges that a company may face in this field, such as cases of customers’ data security or customer satisfaction processes. The identification of this kind of dynamics allows us to draw conclusions on the advantages of big data based on these analyses and big data’s deep impact on finance. In particular, big data is now commonly used by financial institutions and banks for analytical purposes in financial market contexts. We conducted an exploratory survey of the existing literature to highlight such connections. In the last part of our study, we also propose directions for future research.