Even though entrepreneurial firms make substantial contributions to both domestic and global economies and innovations, there is disagreement in the literature regarding how open innovation affects these firms' ability to succeed. The current research is an attempt to address the gaps by analyzing the intricacies and dynamics of entrepreneurial firms’ involvement in Open Innovation. Furthermore, the impact on performance is examined from a knowledge perspective. In Jordanian context, this study analyzed the link between stakeholder interactions, knowledge management, open innovation, and the performance of entrepreneurial firms. The findings demonstrated that open innovation activities are statistically significant to the overall performance of entrepreneurial firms. However, since it has an unintentional detrimental effect over the performance of entrepreneurial firms in Jordan, the moderating effect of stakeholder relations and the mediation effect of knowledge management has been analyzed. The moderating role of stakeholder relationships has been proven statistically which enriched the theoretical foundations of RBV and contingency theory by adding stakeholders’ theory into the combination of the two theories, at the end limitations and guidelines for future research along with practical implications are emphasized.

Diversity, equity, and inclusion (DEI) are crucial for commercial success, fostering innovation, fresh ideas, and mutual respect. Prioritizing DEI is vital for businesses to connect with a broader customer base. A study examined how effective diversity management influences a brand's diverse customer base and DEI policies. It explored the impact of DEI culture, workforce, evaluation practices, product issue resolution, and diversity partnerships on customers. Multinational entities surveyed, with 176 online HR and marketing experts participating. Likert scales, gauged responses, and structured equation modeling analyzed data. The study found that embedding DEI into company culture, maintaining diverse personnel, monitoring DEI performance, addressing DEI challenges with products, and engaging diverse partners positively affect a varied customer base. The research emphasizes that multicultural team leaders must prioritize diversity management for successful implementation, providing a theoretical and statistical framework for effective DEI policies across diverse clienteles.

Failure in digital marketing strategies implementation in building information modeling (BIM) adoption has been observed among some interior design firms. The impact of digital marketing on BIM system adoption among interior design companies was examined in this descriptive analytical research. The research also examined the credibility of BIM system adoption and how the system moderates credibility in the relationship between digital marketing strategies and BIM system adoption. A conceptual model comprising digital marketing strategies (content marketing, social media, and search engines) as independent variables impacting information modeling system adoption as a dependent variable was proposed. The moderating effect of credibility in the relationship between digital marketing strategies and BIM system adoption was examined. Data were gathered through questionnaires delivered online to 300 selected study participants via Google Forms. Usable data from 250 participants and the study hypotheses were analyzed using Structural Equation Modeling (SEM) with Partial Least Square (PLS). The results showed a significant impact of digital marketing strategies (content marketing, social media, and search engines) on BIM system adoption. It also emphasized the moderation of the role of credibility in the relationship between digital marketing strategies (content marketing, social media and search engines). This study can help Jordanian interior design companies to make optimal use of digital marketing strategies (content marketing, social media, and search engines) to adopt the BIM system to increase profits.

Previously, studies reported inconclusive findings while analyzing the influence of factors affecting online purchase intention. Also, most studies were conducted in the context of developed countries, limiting us to a specific context. Hence, for comprehensive understanding, this study aims at examining the factors affecting the online purchase intention in the e-commerce industry of Jordan. The survey was conducted to collect data from university students in Jordan. Structural equation modeling was employed to analyze the data. Findings show that attitude, subjective norms, perceived behavioral control are positively associated with online purchase intention. However, perceived risks are negatively associated with online purchase intention. Although all factors are significantly related to online purchase intention, the attitude has a greater influence. This study adds value to the theory of planned behavior and consumer behavior by examining attitude, subjective norm, perceived behavioral control, and perceived risks as important predictors of online purchase intention. Besides, this study suggests that online retailers must keep their commitments, promises, and customers’ interests in mind while developing e-commerce strategies.

This study aims to examine the influence of brand image as a mediator between social media marketing activity and tourist intentions to visit tourist sites in Jordan. To test the hypotheses, we utilized the partial least square method and distributed a questionnaire survey to 400 visitors, receiving 289 responses for analysis using SMART-PLS4 software. The study made significant contributions to the literature on social media marketing by developing a research model that links social media usage to brand image and shopping intention, and by using statistical techniques to quantitatively assess the effect of social media marketing activity on the brand image as a mediator. The findings exposed that word of mouth, a construct of social media, significantly positively influenced tourists' purchase intention to visit sites in Jordan. This study sheds light on the importance of social media marketing and its impact on the tourism industry in Jordan, providing useful insights for practitioners and policymakers in the field.

The engagement between customers and brands is being transformed by artificial intelligence (AI). However, there has been little study into AI-powered customer experiences; hence, this research aims to examine how the incorporation of AI in purchasing might result in a better AI-powered customer experience. This research will develop a conceptual model based on the service quality model and trust-commitment theory. Further to this, an online questionnaire was distributed to individuals who had utilised an AI-powered service provided by a particular brand, and consequently, a total of 354 responses were analysed using Structural Equation Modelling (SEM). The results that were deduced from the responses demonstrated that relationship commitment has begun to substantially impact AI-powered customer experiences. In addition to this, the results also revealed that perceived sacrifice and trust both play an important role in mediating the impacts of perceived convenience, personalisation, and AI-powered service quality. This finding contributes to the previous literature by highlighting the mediating impacts of perceived sacrifice and trust, as well as the significant influence of relationship commitment on AI-powered customer experience. Furthermore, the research poses significant implications for merchants who use AI in services provided to their customers.

Recently, the credibility of digital reviews has played an essential role in the shopper's buying behaviors and decisions. Since there is a dearth of experimental research about the shoppers' credibility evaluation regarding digital reviews, this study aimed to investigate the factors that affect digital review credibility and its influence on buying choices among Jordanian consumers. With the help of elaboration likelihood theory, a research model has been established that experimentally test it through structural equation modelling from the data gathered from 246 users of the digital review website Amazon. The study's findings suggest factors that consist of the argument quality, like accuracy, completeness and quantity of digital reviews, and the peripheral cues, such as reviewer expertise, rating of goods or services, and website reputation. However, both significantly influence digital review credibility. Thus, they positively impact the buying decisions of shoppers.

Social commerce is a first-generation platform that uses a variety of social attributes to attract the attention of internet users. The impact of platform interactivity components; Content Usefulness, Engaging, Real-time communication, and E-wom on customers' purchase intentions was investigated in this study. A Quantitative research method was applied in this study using an online self-administrative questionnaire that was published using Google Docs to collect data, and 521 consumers participated in an online survey. The research used SPSS and AMOS to validate and test the hypotheses. All platform interactivity components were significantly affecting purchase intention. This study provides insights to marketing managers of how consumers perceive social commerce and what affecting them along with practical and theoretical implications.