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Academic institutions, for the most part, discontinued face-to-face classes in favor of adopting and deploying online learning modalities that allowed for immediate participation. The pandemic has hastened the pace of implementation as well as the utilization of and reliance on technology. Artificial intelligence (AI) is important for higher education business continuity. Currently, some institutions are utilizing these resources to strengthen their student recruitment and retention efforts. Others use them to make the classroom more accessible or to construct tailored learning programs.

The rapid spread of the deadly COVID-19 pandemic in early 2020 has compelled many countries to enact stringent measures to halt the virus’s spread. The pandemic has hastened the adoption of online teaching and remote work technology. While a combination of online and face-to-face learning is the way of the future, it will necessitate additional resources to support program development and delivery, as well as increased collaboration between IT and subject matter experts.

This successful technological integration, which includes a smooth transition from face-to-face training to digital e-courses, provides a variety of benefits, including money saved on travel expenses. Top technological developments will continue to enhance company innovation and efficiency while also improving service efficiency. The top strategic technology trends for this year fall into three categories: human centricity, location independence, and resilient delivery, and are expected to be significant for the next five to ten years. Higher Education Institutions (HEIs) will need to establish a technological ecosystem that is dependable, cloud-based, data-integrated, and learning-focused to compete successfully in this “new normal.” After the epidemic, when classes resume on campus, a hybrid approach to virtual learning is likely to become the new normal. While it is unlikely that campuses would be totally virtual, they will also be unlikely to be entirely physical.

A blend of actual and virtual classrooms, as well as online learning, is the long-term solution, and strategic decisions made now will be critical in preparing for a post-pandemic world.

The aim of the paper is to rank and analyze the key strategies to sustainable finance adoption in the manufacturing sector using Fuzzy Delphi method (FDM), Interpretive Structural Modeling (ISM) and MICMAC (impact matrix cross-reference multiplication applied to a classification) analysis.

The study develops a novel framework to identify and analyze the mutual relationships among set of sustainable policies using extensive literature survey and experts opinion. Initially, the study found 14 strategies to implement sustainable finance with the help of vast literature. Then, the list of identified factors were screened through Fuzzy Delphi Method (FDM). Based on driving and dependence power, the final list of factors are divided into three categories.

The study findings reveal that “environmental rules and practices”, “financial incentives, tax reduction and subsidy”, have strongest driving power for promoting sustainable financial system in Pakistani manufacturing sector. Furthermore, “environmental awareness” and “long term vision” are found to be highly influenced by other corresponding elements in a system.

The ISM approach assists professionals, academics, and managers in identifying and ranking policies in implementing green business techniques. The hierarchical representation of ISM results provides a roadmap for decision-makers to navigate and prioritize factors effectively, facilitating the implementation of strategies that contribute to sustainable growth within organizations.

The study results provide interesting clues regarding green finance policies that provide the foundations, incentives, protections or other provisions that support the ecological conservancy’s mission. Specifically, the findings guide that government must offer research grants to private enterprises, research and development institutions, and universities to promote environmental protection and develop transformative technologies such as waste recycling, renewable energy, carbon capture, and power consumption.

The exploration of strategies for sustainable finance adoption with the help of mixed methodological approach and classification of these strategies on the basis of importance level is a new attempt in the field of manufacturing sector.

Manufacturers increasingly resort to digital transformation to shape their competitiveness in the digital economy era, while supply chain (SC) collaborative innovation helps them cope with market uncertainties. However, whether and how digital transformation can facilitate SC collaborative innovation remain unclear. To address this gap, we aims to investigate the effects of digital transformation (strategy and capability) on SC collaborative (process and product) innovation and market performance.

We use partial least squares-structural equation modelling (PLS-SEM) with a sample of 210 Chinese manufacturers to investigate the effects of digital transformation (strategy and capability) on SC collaborative (process and product) innovation and market performance.

The results show that digital strategy and capability positively impact SC collaborative process and product innovation, which enhances market performance. In addition, SC collaborative innovation mediates the relationship between digital transformation and market performance.

This study contributes to the literature by identifying how digital transformation drives SC collaborative innovation towards improving market performance and providing practical guidance for enterprises in promoting digital transformation and SC collaborative innovation.

This study aims to analyze the mediating effect of brand love (BRL) on the relationship between service quality and brand addiction (BRA) among Islamic banks. Past studies have noted that customer satisfaction as the primary means of studying customer behaviour needs to be reconsidered because even satisfied customer switch brands, and the dissatisfied customer have repurchasing intentions. Therefore, considering BRL and BRA can be a new way of studying customer behaviour in Islamic banking.

This study used a structured questionnaire administered to 380 customers of Islamic banks. The study used structural equation modelling and Process Macro test in the analysis.

The empirical findings of this study suggest that service quality is positively and significantly related to BRL and that BRL positively and significantly relates to BRA. Furthermore, the findings indicate that BRL mediates the relationship between service quality and BRA.

The findings of this study have revealed that the triangular theory of love and expectation-confirmation theory can be combined to explain the relationship between service quality and loving relationships among customers of Islamic banks.

The study provides ways in which service providers can use service qualities to manage BRL and addiction. Based on the positive and significant relationships, managers of Islamic banks can build service qualities that are vital for creating BRL and BRA.

The link between service quality, BRL and BRA is not adequately established, especially in Islamic banking. This is important to be established because studying consumer psychology is currently considered a vital strategy for customer repurchasing and switching barriers in the modern banking business. Furthermore, integrating two theories, the triangular theory of love and expectation-confirmation theory, provide a new way of combining two theoretical aspects from different disciplines.

The study aims to identify the determinants of customer satisfaction in the electronic commerce (e-commerce) industry in Bangladesh. It also investigates whether acceptance of IT innovation mediates the relationship between the determinants of e-commerce and customer satisfaction.

A survey questionnaire had been designed and distributed among the customers of e-commerce businesses. Data were collected from 408 respondents, who were mostly from urban areas of the country. The collected data had been analysed with the application of the partial least square approach using SmartPLS4. First, the measurement model was applied to determine the validity and reliability of the dataset. Then, the structural model was utilized to justify the hypothesis.

The results showed that customer service, perceived ease of use and customer trust in e-commerce services have a significant positive impact on customer satisfaction. The acceptance of IT innovation, which showed a positive influence on customer satisfaction, enhanced customer satisfaction when accompanied by perceived ease of use and digital literacy.

The results would have valuable insight for the e-commerce business in designing their products and services and taking policies to achieve long-term customer loyalty.

This is the first study that incorporates IT innovation acceptance as a mediating variable. Although a number of factors have been identified as the determinants of customer satisfaction, the specific mechanism of IT innovation acceptance as a mediator between predictors and customer satisfaction is unique in this study.

It is widely evident that trust and commitment are important pillars for strengthening the relationship between financial service firms and their customers. However, it has not been explored how the service quality, perceived cost and role of agents are important for financial service firms. To overcome this gap, this study aims to investigate the role of service quality, perceived cost and the role of agents as the commitment–trust factors in the financial insurance service (Takaful) in Malaysia, enhancing customer satisfaction.

The study follows a quantitative design in which primary data was collected using a survey instrument. The measurement instrument was adapted from the previous research, and data were collected from 264 customers of the Takaful financial service organizations in Malaysia. The data were analyzed using variance-based structural equational modeling in Smart-PLS software.

This research has revealed several useful insights that demonstrate a significant impact on service quality, perceived cost and the agents’ role in forging close relationships with their customers. Corporate image has a moderating role in relationships and has significantly impacted takaful insurance companies. The results imply that regardless of the corporate image of the financial service organizations, customers are concerned about the prices and the quality of the agents’ services.

In this study, only the predictors such as service quality, perceived costs and agents’ roles as trust–commitment factors were examined to determine customer satisfaction. Other investigations are highly recommended, such as value co-creation in takaful, takaful customer experience and takaful trust. This study offers insights to takaful insurance companies on how to keep up a positive corporate image, which will boost their trust–commitment factors and ultimately increase customer satisfaction.

By presenting commitment–trust factors and company image in an identifiable framework, the current study has expanded the discussion on takaful financial insurance services. The methodology is developed and rigorously tested to gauge customer satisfaction in takaful financial service organizations’ context.