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The purpose of this study is to investigate the role of top management support and organizational capabilities in achieving e-business entrepreneurship.

Data were collected through a self-administered questionnaire from 26 manufacturing firms with a sample of 282 respondents. Data were analyzed using SmartPLS.

The results show a significant impact of top management support on e-business entrepreneurship. The findings also show a direct impact of organizational capabilities, involving organizational agility and organizational learning on the e-business entrepreneurship. Moreover, the results of the study highlight the pivotal role of top management in preparing an organizational environment that fosters organizational learning and organizational agility capabilities to establish e-business entrepreneurship.

This study contributes to the body of knowledge and understanding of e-business entrepreneurship and the pivotal role of top management support in today’s very dynamic environment. Furthermore, the present study offers new insights into the impact of organizational capabilities on establishing e-business entrepreneurship.

This study explores the role of institutional pressures and top management support in digital corporate social responsibility (CSR) adoption. It also investigates the impact of digital CSR on social trust and corporate sustainability.

Data were collected from 279 managers of Jordanian companies. Smart PLS was utilized to analyze the research model and test hypotheses.

The results reveal that coercive pressures, normative pressures, memetic pressures and top management support significantly impact digital CSR adoption. The results also show that digital CSR significantly impacts social trust and corporate sustainability.

This study provides worthwhile insights into the literature on drivers of digital CSR, social trust and corporate sustainability in unprecedented crises. This study enriches the literature on the relationship between institutional theory and innovative IT solutions adoption theories. The review of prior research confirms an absence of empirical examinations of the causal relations among institutional forces, digital CSR, social trust and corporate sustainability.

The purpose of this paper is to investigate the drivers of e-banking entrepreneurship. The impact of e-banking entrepreneurship on banks’ performance in the banking industry is also investigated.

A questionnaire was developed to collect data from 16 banks with a sample of 214 respondents. Structural equation modeling using PLS was conducted to analyze the data.

The results reveal a significant impact of top management support, organizational context, technological context and social capital on the degree of e-business entrepreneurship. The findings also reveal a direct impact of e-banking entrepreneurship on achieving a competitive advantage, financial performance and customer performance.

The present empirical study contributes to a better understanding of the existing theories and practices of banking entrepreneurship and e-innovations in today’s banking industry. This study also provides insights into the drivers and the role of e-entrepreneurship in this industry for improving the opportunities of competitiveness and growth. The findings of the present study are of importance to both academic and practitioner audiences. The present study provides empirical evidence to bolster e-banking technology as an enabler of banking entrepreneurship and improving performance. Additionally, these findings provide directives to managers regarding the untapped opportunities and potential that innovative e-banking technology can offer in a highly volatile and rapidly changing environment.

This study aims to explore the potential role of supply chain digital transformation on collaborative knowledge creation, supply chain innovation, and value co-creation in new norms. It also examines the impact of collaborative knowledge creation and supply chain innovation on value co-creation. Furthermore, the study examines the impact of collaborative knowledge creation on supply chain innovation. Finally, it investigates the possible mediating role of knowledge absorptive capacity and relationship quality in shaping these interactions.

To establish the empirical part of this study, the collection of data involved distributing a questionnaire to 247 managers working in manufacturing companies. The measurement model assessment and hypothesis testing were performed employing the PLS-SEM approach.

The findings indicate that supply chain digital transformation significantly impacts collaborative knowledge creation, supply chain innovation, and value co-creation. This study also confirms the significant impact of collaborative knowledge creation on supply chain innovation and value co-creation. Furthermore, it reveals that knowledge absorptive capacity mediates the impact of supply chain digital transformation on collaborative knowledge creation. It also shows that the impact of collaborative knowledge creation on supply chain innovation and value co-creation is mediated by relationship quality among participants.

The findings of this study make significant contributions to academic theory, existing literature, and the scholarly community within the realms of supply chain management, innovation, knowledge management, and value co-creation. It also offers practical implications for managers to strategically navigate the evolving norms of supply chain management. Companies can use these insights to improve their innovation processes and knowledge management, while policymakers can consider the study's findings when developing supportive frameworks for the manufacturing sector.

This study investigates the influence of the wisdom of the crowd (WSC), trust and perceived value on consumer purchase intentions within social commerce (s-commerce) platforms. By constructing a novel theoretical model, the research aims to delineate the interrelationships among these variables, addressing an emerging area in social interactions and information technology.

To empirically test and validate the proposed model, the study collected data from 442 Facebook users familiar with online shopping. The analysis employed Structural Equation Modeling – Partial Least Squares (SEM-PLS) to test the hypotheses and examine the relationships between WSC, trust, perceived value and purchase intentions.

The findings confirm that WSC significantly influences trust, perceived value and the intention to purchase on s-commerce platforms. Both perceived value and trust are substantial determinants of purchase intentions. Notably, the PLS analysis revealed that WSC accounts for 36.8% of the variance in trust and 33.1% of the variance in perceived value related to purchasing decisions on s-commerce platforms.

This research contributes uniquely to the ongoing discourse on s-commerce adoption by integrating WSC as a pivotal factor in understanding perceived value and consumer adoption intentions. It provides a fresh perspective on how collective intelligence affects consumer behavior in digital marketplaces, enriching the theoretical and practical understanding of s-commerce dynamics.

This study aims to examine organizational and social capital’s impact on adopting social media analytics (SMA) in the banking sector. It also explores the effects of SMA on competition analysis and Fintech innovation. Moreover, the study investigates the mediating impact of competition analysis on the relationship between SMA and Fintech innovation.

Data were collected from 284 respondents and analyzed using the SEM-PLS path modeling technique.

The findings confirm a significant role of organizational and social capital in adopting SMA. This study also indicates a significant impact of SMA on competition analysis and Fintech innovation. Moreover, it reveals a significant mediating impact of competition analysis on the association between SMA and Fintech innovation.

This study provides invaluable contributions for both academic and banking industry professionals. The study aimed to fill the literature gap, where there is a lack of an integrated framework examining how organizational capital, social capital, SMA and competition analysis interact to create Fintech innovations in the banking sector. It also offers novel implications to banking sector stakeholders, providing them with a thorough understanding of SMA’s importance and pivotal role and the drivers of finding innovative Fintech solutions.

The purpose of this paper is to investigate the determinants of users' intention to continue to invest in cryptocurrencies. The paper also aims to examine the impact of hedonic motivation and the legal environment on perceived value in cryptocurrencies.

A questionnaire was designed to obtain data from 258 respondents in UAE. The Structural Equation Modeling – Partial Least Squares (SEM-PLS) was used to evaluate the research model and test the hypotheses.

The results of smart PLS path analysis showed that perceived value, hedonic motivation, gambling attitude, and price volatility were significant determinants of the continued intention to invest in cryptocurrency. This study also revealed that hedonic motivation enhances perceived value and improves the perception of cryptocurrencies value from user's perspective.

This study provides new insights into the literature on cryptocurrencies adoption, and delivers advanced understanding about the determinants of user's intention to continue investing in cryptocurrencies. In addition, the study provides important practical implications for cryptocurrencies companies to promote this financial technology to users by enhancing the knowledge of policy makers about how investors think and get motivated towards a continued investment of cryptocurrencies.

This study aims to empirically examine the impact of perceived risks, optimism and financial literacy on trust and the perceived value of cryptocurrencies. It will also examine the impact of trust on the perceived value of cryptocurrencies.

A quantitative approach is followed. A questionnaire was designed to collect data from 308 respondents in Jordan. The Structural Equation Modeling – Partial Least Squares (SEM-PLS) method was used to evaluate the research model and test hypotheses.

The results of PLS algorithm analysis showed that perceived risks negatively impact the optimism and trust in cryptocurrencies. This study revealed that while financial literacy minimizes the perceived risks, it serves to enhance optimism and improve the perception of the value of cryptocurrencies. Furthermore, the findings of this study show that optimism plays a significant role in trust and perceived value.

This study provides new insights into the literature on cryptocurrencies adoption, blockchain theory, the theory of trust in financial systems, the role of the optimism factor and the perception of the value of cryptocurrencies. It also provides important practical implications for different stakeholders.

This study explores the impact of intellectual capital on the adoption of supply chain analysis by manufacturing companies. The authors also examine the potential role of supply chain analytics in supply chain innovation and agility.

Data were gathered from 268 managers and directors of Jordanian companies. The hypotheses were tested using the Smart PLS software.

The results reveal that human, structural and social capital significantly impact supply chain analytics. Moreover, the findings show that supply chain analytics significantly affect supply chain innovation and agility. In other words, cultivating intellectual capital is crucial for utilizing supply chain analysis to enhance performance in terms of innovation and agility.

This study adds to the literature on the determinants of the adoption of supply chain analytics and its function in establishing the dynamic capabilities of businesses, including supply chain innovation and agility.

This paper aims to identify and examine the internal and external factors that e-business communities in Iran grapple with within value proposition design.

Although the world and global economy have been vastly affected by the financial crisis and the competitive market, most businesses and trade lines are growing significantly by the power of online marketing and e-trades. However, this process is somehow different in the Iranian market. Using literature review and combining it with the casual-comparative method, this study first reviews the literature on the business model and value proposition design and then shows the main challenges Iranian entrepreneurs face in starting their e-business, especially at the time of severe economic, political sanction.

This paper attests to two categories of external and internal obstacles to entrepreneurs in the country. Some internal challenges point to obstacles and problems such as poor infrastructure in technology and network equipment, the security of personal data exchanges, improper infrastructure, including the speed of the internet and its bandwidth limit and lack of programming expertise. In the case of external barriers, this paper addresses the economic sanctions and restrictions that have been imposed on internet businesses.

In this study, the authors intend to identify the challenges of internet businesses in Iran and provide effective solutions for creating new value propositions resulting in rapid and sustainable economic growth.