Due to the growing worries of communities and governments about the depletion of natural resources and environmental contamination, green innovation (GI) is currently receiving much attention on a global scale. This study intends to investigate how Green Innovation Adoption (GIA) influences Sustainable Performance (SNP) in Saudi Arabia’s small- and medium-sized enterprises (SMEs) based on primary research. A conceptual framework model is developed to better comprehend the relationships of Government Support (GS), External Partnership and Cooperation (EPC), Rules and Regulatory Factors (RR), Market and Customer Factors (MC), Organization and Human Factors (OH), Green Innovation Strategy (GIS), and Technology Factors (TF) with GIA. The evaluation of hypotheses is performed using the Partial Least-Squares Structural Equation Modeling (PLS-SEM) method. The study’s findings are obtained using the SPSS 24.0 and AMOS 24.0 software programs. The results of this study reveal that GS, EPC, RR, MC, OH, and TF all have a positive impact on GIA. Furthermore, it has been noted that GIA has a positive impact on the economic, social, and environmental performance of SMEs in the Kingdom of Saudi Arabia. In accordance with the findings, corporate units that use GI would produce more acceptable eco-friendly and long-term performance.

Blockchain technology has disrupted the traditional approaches of marketing and introduced altogether contemporary marketing frameworks using its unique capabilities of decentralization, security and transparency. In recent times, this technology has attracted both academicians and practitioners to study the underlying processes and opportunities of the application of blockchain technology in marketing. Although there is an increasing deliberation in researching the use of blockchain in marketing, there exists an intermittent gap in holistic overview of the current trends and future boundaries. This article is an attempt to present a comprehensive current state and prospects of expansion in the research of the application of blockchain technology in marketing using state of the art bibliometric review analysis. The bibliometric analysis using 161 articles from Scopus database revealed the influential aspects of research such as prolific authors, influential documents, countries, affiliations, sources and keywords. Moreover, emerging research streams about the application of blockchain is identified and enumerated using network synthesis and visualization of co-citation, and keywords co-occurrence networks. These findings pave the ways for future research expansion. The results shows that the research on applications of blockchain technology has been maturing over time. However, the research streams reveal that blockchain based marketing framework is still in its infancy stage.

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Purpose: This article aims to investigate the main drivers of mobile banking among Delhi–NCR consumers. The TAM (technological acceptance model) was used as a framework for this study. Only a few studies have looked at how online banking users in India plan to use other similar services, such as m-banking. In order to do this, a theoretical model was made using the technology acceptance model. This model was then expanded to include the factors that make m-banking users more likely to use mobile banking. These adoption factors include the feeling of being watched, the ability to do things on your own with a mobile device, social dominance, and the role of customer support as a mediator. The use of m-banking is the thing that matters. Scope: In the last two decades, digital mobile devices have become the primary preferred method of consumer communication. Throughout the past year, mobile banking has become increasingly popular. The increasing number of smartphones in use, as well as the government’s push for cashless transactions, provide an opportunity for the Indian banking industry to rapidly expand its usage of mobile and online banking. Methodology: The data were collected through a structured questionnaire distributed to 376 respondents from different sustainable investment classes. The use of convenience sampling was imposed. Structure equation modeling (SEM), reliability, convergence, discriminate validity, and model fitness were achieved through SmartPLS 3. Findings: The study found that the adoption factors had a significant impact on perceived surveillance, mobile self-reliance, and social domination and mediating role of customer support to use mobile banking. These latest findings will inform banks and financial institutions on the rise of m-banking in India, as well as provide insight into digital banking channels and add to the literature on the topic of digital banking adoption.