The purpose of the current study is to investigate the role of the Islamic financial system in recovery post-COVID-19 and the way Fintech can be utilized to combat the economic reverberations created by COVID-19. The global financial crisis of 2008 has established the credentials of the Islamic financial system as a sustainable financial system which can save the long run interests of the average citizens around the world while adding value to the real economy. The basic ethical tenets available in the Islamic financial system make it more suited and readymade to fight the economic aftershocks of a pandemic like COVID-19. The basic principles of ethical Islamic finance have solid connections to financial stability and corporate social responsibility within the wide-reaching business context. With the emergence of Financial technology (Fintech) it has provided a missing impetus to the Islamic financial system to compete on equal ground with its conventional counterpart and prove its mettle. The study uses discourse analysis along with the content analysis to extract content and draw a conclusion. The findings of the study indicate that COVID-19 pandemic has provided the opportunity for the social and open innovation to grow and finance world have turned to open innovation to provide a speedy, timely, reliable, and sustainable solution to the world. The findings of the study provide significant implications for governments and policy makers in efficient application of Fintech and innovative Islamic financial services to fight the economic consequences of the COVID-19 pandemic.

Exploring the Role of Islamic Fintech in Combating the Aftershocks of COVID-19: The Open Social Innovation of the Islamic Financial System

Prior studies in the contemporary literature have largely ignored the important role of corporate social responsibility (CSR) in shaping employees’ views of self and nature. Although researchers have recently started to pay considerable attention to explore the link between CSR and environmental sustainability, determining how CSR can be effective in shaping the proenvironmental behavior of employees that is missing in the existing literature. The objective of the present research study is to test the impact of microlevel CSR activities to induce environmental performance of an organization with a mediating effect of employees’ pro-environmental behaviors. This study argues that CSR activities of an organization motivate the workers to rethink the relationship between self and nature; hence, they are encouraged to participate in activities that are helpful in terms of preserving the environment, such as participating in pro-environmental activities at the workplace. The proposed model of the study was tested in the banking sector of Pakistan and analyzed by using the structural equation modeling (SEM) technique in AMOS software. The results revealed that microlevel CSR activities, using employee proenvironmental behaviors as a mediator, directly and indirectly influence environmental performance of a bank. The results of the present study are helpful for policymakers of different banking institutions to understand how they can reduce the environmental footprint of their bank by using a well-planned CSR program that can induce transcendent emotions in employees to create a sustainable environment.

https://www.mdpi.com/2071-1050/13/3/1499/pdf

CSR as a Potential Motivator to Shape Employees’ View towards Nature for a Sustainable Workplace Environment

Modern businesses in the present digital age are facing different challenges for survival and growth due to the stiff competitive environment that prevails almost in every sector. Technology, especially digital technology, has changed the way of doing business around the globe. Marketers need to develop new strategies by incorporating the element of digital technology to overrun their competitors, as conventional competitive strategies will not produce extraordinaryresults. The rise of social media, in this regard, is a game-changer in the context of marketing as it provides a strategic touchpoint to the marketers to involve the customers with a brand. Prior research has largely ignored the relationship between corporate social responsibility (CSR) practices of a brand and positive customer experiences. Hence the present study aims to test the relationship of customer-related CSR activities on social media on behavioral consequences of customers, such as their purchase likelihood and electronic word of mouth (E-WOM). The data were collected from the banking customers of a developing economy and were analyzed through structural equation modeling in AMOS software. The results revealed that customer-related CSR activitieson social mediainfluence customer behavioral outcomes like E-WOM and purchase intentions. The result also revealed that brand attitude mediates the relationship between customer-related CSR, E-WOM, and purchase intentions. The findings of the present study can help policymakers to understand the importance of CSRpractices from the perspective of marketing, which is largely ignored by contemporary CSR researchers.

https://www.mdpi.com/0718-1876/16/4/58/pdf

The Relationship between CSR Communication on Social Media, Purchase Intention, and E-WOM in the Banking Sector of an Emerging Economy

With the advent of the Internet and other digital technologies, contemporary businesses from all sectors are using social media for communication with consumers to engage them meaningfully with a brand. However, the use of social media for corporate social responsibility (CSR) communication is relatively new to the existing literature. Likewise, the impact of CSR communication through social media (CSR-S) on consumer emotions and behavior is, to date, underexplored. To address this, the present research aims to test the relationship of CSR-S on brand admiration and consumer purchase intention. The study proposes a direct relationship between CSR-S and purchase intention with a mediating effect of brand admiration. The data were collected from the banking consumers of Pakistan through a self-administered questionnaire. The authors distributed 800 questionnaires and received 463 questionnaires useful for data analysis, so the present research study response rate was around 59%. The data were analyzed using the structural equation modeling (SEM) technique in AMOS. The results revealed that CSR-S is positively related to purchase intention (β = 0.233). The results further showed that brand admiration partially mediates this relationship (β = 0.079). The survey respondents confirmed that their bank’s CSR communication helps enhance their purchase likelihood and their feelings of admiration for their bank. These findings will help policymakers at banking institutions better understand the importance of CSR communication on different social media platforms to achieve consumer-related outcomes.

The Relationship of CSR Communication on Social Media with Consumer Purchase Intention and Brand Admiration

Today, predictive analytics applications became an urgent desire in higher educational institutions. Predictive analytics used advanced analytics that encompasses machine learning implementation to derive high-quality performance and meaningful information for all education levels. Mostly know that student grade is one of the key performance indicators that can help educators monitor their academic performance. During the past decade, researchers have proposed many variants of machine learning techniques in education domains. However, there are severe challenges in handling imbalanced datasets for enhancing the performance of predicting student grades. Therefore, this paper presents a comprehensive analysis of machine learning techniques to predict the final student grades in the first semester courses by improving the performance of predictive accuracy. Two modules will be highlighted in this paper. First, we compare the accuracy performance of six well-known machine learning techniques namely Decision Tree (J48), Support Vector Machine (SVM), Naive Bayes (NB), K-Nearest Neighbor (kNN), Logistic Regression (LR) and Random Forest (RF) using 1282 real student’s course grade dataset. Second, we proposed a multiclass prediction model to reduce the overfitting and misclassification results caused by imbalanced multi-classification based on oversampling Synthetic Minority Oversampling Technique (SMOTE) with two features selection methods. The obtained results show that the proposed model integrates with RF give significant improvement with the highest f-measure of 99.5%. This proposed model indicates the comparable and promising results that can enhance the prediction performance model for imbalanced multi-classification for student grade prediction.

/pdf/multiclass-prediction-model-for-student-grade-prediction-uonni0lhkr.pdf

Multiclass Prediction Model for Student Grade Prediction Using Machine Learning

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.

Csr, co-creation and green consumer loyalty: Are green banking initiatives important? A moderated mediation approach from an emerging economy

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.

https://www.mdpi.com/2227-7390/8/10/1738/pdf

Huidong Sun

Papers

Csr, co-creation and green consumer loyalty: Are green banking initiatives important? A moderated mediation approach from an emerging economy

Identifying big data’s opportunities, challenges, and implications in finance