B2B Marketing, Value Co-Creation, Value Co-Destruction, Supply Chain Management
58
Scopus Publications
Scopus Publications
Entrepreneurial leadership: key to sustainable innovation and competitiveness in Islamic insurance companies in Jordan Muhammad Turki Alshurideh, Alaa Alsharif, Enass Khalil Alquqa, Samer Hamadneh, Sulieman Al-Hawary, Ala’a Al-Momani, Hasan Khaled AlAwamleh Journal of Islamic Marketing, 2026 Purpose This study delves into the significant impact of entrepreneurial leadership (EL), organizational innovation (OI) and competitive advantage (CA) on the sustainability of organizations in the Jordanian Islamic insurance sector. This study aims to unravel the intricate dynamics among these pivotal factors, highlighting their collective role in the sustained success and resilience of Islamic insurance companies in Jordan. By examining the synergistic interplay between EL, OI and CA, the research seeks to offer invaluable insights into cultivating a sustainable future for these institutions. Design/methodology/approach This study adopts a positivist, quantitative approach to investigate the relationships between EL, OI, CA and organizational sustainability (OS). Data collection was achieved through questionnaires in a cross-sectional analysis of these variables. Convenience sampling yielded 389 valid responses, an 81% response rate, ensuring a thorough understanding of the dynamics within this framework. Findings The findings from the study on Jordanian Islamic insurance companies highlight the critical role of EL in influencing organizational dynamics. The research establishes a positive relationship between EL and both OI and OS. Furthermore, it identifies a significant positive correlation between EL and CA, underscoring the importance of leadership in securing a competitive edge. This study also emphasizes the vital role of OI in bolstering OS and confirms that a strong CA enhances OS, reinforcing the interconnectivity of these essential organizational components. Practical implications This study provides important insights for professionals in the insurance sector, especially those within the Jordanian Islamic insurance industry. It emphasizes the crucial role of EL in fostering innovation, competitiveness and sustainability. By understanding the significance of EL, companies can adopt more dynamic and effective strategies in leadership, organizational development and strategic planning, thereby enhancing their overall performance and resilience. Originality/value By conceptualizing EL and OS as second-order constructs, this study seeks to provide a detailed understanding of how EL catalyzes OI, CA and sustainability in an organizational context. This approach contributes significantly to the broader discussion on EL and OS, particularly within the Arab region and specifically in Jordan, offering nuanced insights into their roles and interrelations in shaping organizational dynamics.
Leveraging animal feed supply chain capabilities through big data analytics: a qualitative study Ismail Abushaikha, Omar M. Bwaliez, Marwa Yaseen, Samer Hamadneh, Tamer K. Darwish International Journal of Quality and Reliability Management, 2025 PurposeAlthough big data analytics (BDA) has gained widespread interest in supply chain management (SCM) literature in recent years, our understanding of how it contributes to improved animal feed supply chains (SCs) is still underexplored. This study provides a greater understanding of the role of BDA in improving animal feed SC capabilities.Design/methodology/approachA qualitative approach was used in this study. Data were collected through 32 semistructured interviews from several actors involved in the production and supply of animal feed concentrates.FindingsThis study provides rich in-description evidence of how BDA enhances performance in the animal feed supply chain through improved logistics capabilities, quality control and information visibility. Our findings also suggest that organizational culture contributes to leveraging BDA capabilities in the feed-processing SCs.Practical implicationsThe research provides an in-depth qualitative investigation of implementing big data in the feed processing SCs. The study provides practical implications for SC managers in the agri-food sector.Originality/valueThe study contributes to the growing body of knowledge by providing field evidence of the relevance of BDA to animal feed SCs. Moreover, this study adds to the existing literature by providing an understanding of the role of the internal culture of the organization in leveraging BDA capabilities in the SC.
Consumer and Economic Influences on Electric Vehicle Adoption: The Mediating Role of Attitudes and the Moderating Effect of Demographics Muhammad Turki Alshurideh, Haitham M. Alzoubi, Barween Al Kurdi, Samer Hamadneh, Gouher Ahmed, Khalid Al-Sulaiti, Abdallah Q. Bataineh, Enass Khalil Alquqa, Ilknur Ozturk International Journal of Energy Economics and Policy, 2025 This study explores economic and consumer factors impacting electric vehicle (EV) adoption through consumer attitude mediation and moderation by demographic factors in the Jordanian context. The study aims to fill an important knowledge gap about EV adoption mechanisms. The study analyzes the insufficient attention given to demographic indicators including age and income and educational level because they affect how economic premiums alongside psychological preferences lead to behavioral electronic vehicle adoption. The study used an online survey with 288 valid EV owner and drivers respondents in Jordan targeted to test the research model using structural equation modeling via SmartPLS. The analysis validates that economic variables relationship with EV adoption rates through consumer attitudes and demographic characteristics play a key role as influencing variables. Study presents actionable implications which policymakers and manufacturers can use to boost EV adoption rates. The results demonstrate that education programs combined with awareness campaigns about EV financial gains and environmental advantages need to become primary factors for developing positive consumer attitudes toward these vehicles. The different consumer segments require targeted marketing strategies because demographic characteristics serve as essential moderators in the adoption process. Older consumers with lower incomes need experiential information about EVs along with financial incentives since younger university-educated consumers already show interest in EV technology. Policy makers should use adjustable financial incentives to encourage adoption among groups that show low interest in electric vehicles because this approach will boost the impact of economic incentives toward wider adoption.
Unveiling the Role of Artificial Intelligence: Navigating Personalized Content Marketing, Customer Engagement, and Commitment with Data Transparency and Security Haitham M. Alzoubi, Beenish Shameem, Saleem Mushtaq, Barween Al Kurdi, Shanmugan Joghee, Samer Hamadneh International Review of Management and Marketing, 2025 This empirical and quantitative study delves into the complex interplay between personalized content marketing, customer engagement, artificial intelligence (AI), data transparency, security, and customer commitment in the healthcare sector. With the proliferation of digital technologies, organizations are increasingly turning to personalized content marketing strategies to enhance customer engagement and foster long-term commitment. This study investigates how AI serves as a mediator between the relationship of personalized content marketing and customer engagement, ultimately impacting customer commitment. Additionally, the moderating role of data transparency and security is explored to understand their potential to reinforce the link between personalized content marketing and customer engagement. Drawing from a sample of 231 respondents within the healthcare sector, data was collected using a structured questionnaire. The analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS SEM) via Smart PLS 4.0, enabling a robust assessment of the hypothesized relationships. The findings of this study offer significant insights into the role of AI in mediating the link between personalized content marketing and customer engagement, thereby influencing customer commitment. The results demonstrate the moderating effect of data transparency and security, indicating their capacity to strengthen the connection between personalized content marketing and customer engagement. These findings hold implications for healthcare organizations seeking to optimize their marketing strategies in the digital age, fostering deeper engagement and commitment among their customer base.
A Mixed-Method Approach on the Evolution of Influencer Marketing and Its Ethical Consideration in UAE Saleem Mushtaq, Beenish Shameem, Haitham M. Alzoubi, Barween Al Kurdi, Shanmugan Joghee, Samer Hamadneh International Review of Management and Marketing, 2025 The paper aims to identify the evolution of influencer marketing along with ethical considerations taken in terms of celebrity endorsement. The research also considers ethical considerations, like “transparency and cultural sensitivity,” as vital to successful influencer collaborations. This literature investigates the “evolution of influencer marketing” in the UAE, emphasising the change from celebrity confirmations to micro-influencers. It discovers the role of social media along with the influencer in determining purchasing decisions for the products. The review also classifies gaps in research regarding the influence of local cultural nuances and regulatory frameworks on “consumer behaviour and brand loyalty” in the influencer marketing scenery. The research study employs a mixed-method approach, mixing “quantitative surveys and qualitative interviews,” to discover personalized influencer marketing’s influence in the UAE. It measures consumer perceptions regarding awareness, data privacy, trust, and ethical practices, pointing to uncover key understandings that inform marketing strategies and regulatory frameworks in the area. Based on the findings from the data collected, customers are attracted to influencer marketing even in the UAE where several ethical considerations and regulations have been used. It is used to maintain data privacy, cultural sensitivity, and even transparency in influencer marketing.
Supply Chain Optimization Using Business Intelligence Radwa Radwan, Mohamed Ahmed Elbadawi, Tamadher Aldabbagh, Thayer Mhd Nadim Marouf, Samer Hamadneh, Sufian Nathmi Al Sheyab, Lama Alsmadi, Ammar Mohammad Al-Ramadan 2025 International Conference on Business Intelligence for Technology Innovation Icbiti 2025, 2025 Supply chain optimization is a vital component for enterprises aspiring to enhance efficiency, curb expenses, and boost customer satisfaction. The traditional methods of addressing supply chain complexities can no longer solve the problems of demand alteration, inventory management, and logistics coordination at a time when modern supply chains become more and more complicated. The primary goal of Business Intelligence (BI) is to facilitate the extraction of actionable insights from data that can be utilized to solve the problems faced by supply chains. This paper investigates the impact of Business Intelligence on supply chain optimization through its power to unveil vast amounts of data, generate product-specific insights, and refine forecasting, stock control, and collaboration with suppliers. The use of advanced BI techniques such as predictive analytics and accurate reporting at the right time, together with data visualization, can help businesses operate more effectively by eliminating redundancies and gaining a competitive edge in the marketplace. Furthermore, the paper accommodates the investigation of case studies of companies which have been able to implement BI successfully in their supply chain processes, therefore, showing the results of such strategies and their likely challenges. The research eventually accentuates the important role of Business Intelligence in the optimization of supply chain management as well as the pivotal role it will play in the future of corporate operations.
Optimizing Logistics in Supply Chains Using AI Haitham M. Alzoubi, Mohamed Ahmed Elbadawi, Samer Hamadneh, Thayer Mhd Nadim Marouf, Naseem Abidi, Sufian Nathmi Al Sheyab, Omar Kanaan, Ammar Mohammad Al-Ramadan 2025 International Conference on Business Intelligence for Technology Innovation Icbiti 2025, 2025 The global supply chain management complexity is growing, and in this regard, it warrants developing innovative solutions for logistics operations optimization. The focus of this study is the use of Artificial Intelligence (AI) for logistics optimization in supply chains, through the analysis of relevant areas like route optimization, demand forecasting, inventory management, and the reduction of costs. This paper will show how advanced AI technologies, such as machine learning, predictive analytics, and deep learning, can help make better use of resources and help get the right information timely and the right decision made. AI case studies along with simulations illustrate the real benefits such as reduced transport costs, shorter delivery times, and better resource allocations. The research, in addition, deals with hurdles restricting the wide adoption of AI solutions in the area of logistics such as the integration of data, scalability issues, and ethical questions on AI use. This paper makes available a structured approach to the implementation of AI-based optimization of logistics, which supports the sustainable advancement of resilient supply chain systems.
Digital Evolution and Smart Governance: Shaping Global Supply Chain Efficiency Muhammad Turki Alshurideh, Wasfi A. Alrawabdeh, Mounir El khatib, Azad Alshurideh, Barween Al Kurdi, Samer Hamadneh, Aram Khalaf Nawaiseh, Khalid Al-Sulaiti, Fanar Shwedeh, Haitham M. Alzoubi Advances in Science Technology and Innovation, 2025
Examining the effect of virtual reality technology on marketing performance of fashion industry in Jordan Muhammad Turki Alshurideh, Suhaib Anagreh, Emad Tariq, Samer Hamadneh, Nidal Alzboun, Barween Al Kurdi, Sulieman Ibraheem Shelash Al-Hawary International Journal of Data and Network Science, 2024 This research examined how virtual reality technology affects the marketing performance of the fashion industry in Jordan. Based on a sample composed of 528 online customers, structural equation modeling (SEM) was utilized as a statistical approach for hypothesis testing. The research findings demonstrated that virtual reality technology had a positive significant impact on marketing performance. This examination provides many implications that managers in the fashion industry in Jordan could recognize, the most notable was encouraging them to focus on increased product demos utilizing virtual reality technology in order to improve customers' comprehension of the product and boost their confidence when making purchase decisions.
Components Determining the Behavior and Psychological impact of Entrepreneurship among Higher Vocational Students Journal for Reattach Therapy and Developmental Diversities, 2022
