This research intends to evaluate the effect on the performance of small and medium enterprises (SMEs) of technological developments, including digital marketing, and to determine the variables that affect the relationship. Because these businesses are essential to driving local economies, boosting local economic growth, and creating job opportunities, this is a very important question, and figuring out how to best help them succeed through digital marketing is critical. The data were generated from a sample of 190 marketing companies, and each of the managers of these companies was surveyed for the information needed. This research focuses on the impact of SMEs’ performance through digital marketing strategies, including online advertising, social media marketing, search engine optimization (SEO), and customer engagement through digital channels. A further analysis was performed looking at the mediating effect of digital transformation on the relationship between digital marketing and firm performance. The theoretical lens in the current study is the Technology Acceptance Model (TAM), which argues that technology use depends on perceived use and perceived usefulness. The results revealed that digital marketing is essential for SME effectiveness, as a driver of digital transformation, leading to stronger economic results and an enlarged market presence. Engagement with customers on digital channels to understand their behavior and preferences helps organizations create better experiences and products, and sell smarter as well. This offers application insights to the practitioners and proves the empirical data telling the SMEs how to plan the adoption of digital marketing. It also offers policy recommendations to authorities on how to promote digital innovation and provide financial and technical assistance to SMEs in this vital area.

Using adaptive learning technologies, personalized feedback, and interactive AI tools, this study investigates how these tools affect student engagement and what the mediating role of individuals’ digital literacy is at the same time. The study will target 500 students from different faculties such as science, engineering, humanities, and social sciences. With the changing trends in educational technology, it is important to know if these tools allow students to interact with learning materials. Through this study, we explore how adaptive learning technologies, which adapt content to students’ progress, are influenced by student motivation and participation during the learning process using AI tools that provide real-time feedback and interaction. Also, digital literacy is presented as a moderating factor that may either accelerate or impede the effectiveness of these tools. These findings demonstrate that more adaptive learning technologies, which have organized feedback, and interactive AI tools help improve student engagement. Additionally, students with higher levels of digital literacy are more involved with digital tools. This research recognizes that teachers should incorporate these technologies into their courses in such a manner as it synergizes with student’s digital capabilities to reap the benefits of technology on students’ engagement and learning outcomes.

This research aims to explore the complex interplay between supply chain resilience (SCR), digital supply chain (DSC), and sustainability, focusing on the moderating influence of supply chain dynamism. The goal is to understand how these elements interact within the framework of contemporary supply chain management and how they collectively contribute to enhancing sustainability outcomes. The sample size is 300 CEOs and managers. The study approach integrates quantitative research methods. Structural equation modeling (SEM) is utilized to quantitatively analyze the direct and indirect effects of SCR and DSC on sustainability. The numerous surveys we conduct among supply chain ecosystem stakeholders provide a rich picture of practical implications and contextual nuances. In sum, our early findings generally support a positive relationship between SCR and sustainability in and of itself, declaring the need for more resilient supply networks for sustainability. We further find the beneficial impact of digital technologies in promoting sustainability via enhancing environmental control and controlling for efficiency in supply chains. We also offer evidence to show that supply chain dynamism compounds the positive logic between SCR and DSC and sustainability. As a final word, it must be noted that our work speaks to the burgeoning literature on supply chain dynamism as a moderator by examining the direct and contingent effects of SCR and DSC not only on performance but sustainability. By shedding light on the moderating role of dynamism, the study provides fresh insights into the multifaceted nature of supply chain management and sustainability practices. The study’s findings enhance theoretical understanding by elucidating the synergistic effects of SCR, DSC, and sustainability in dynamic supply chain settings. The study augments the existing theoretical frameworks by integrating the concepts of resilience, digitalization, and sustainability into a comprehensive model. Practical and economical, the research offers actionable guidance for organizations aiming to improve sustainability performance through resilient and digitally advanced supply chains. By acknowledging the role of supply chain dynamism, managers can tailor strategies to manage disruptions effectively and leverage digital innovations. Economically, adopting sustainable practices can result in cost savings and competitive advantages. The research emphasizes the importance of aligning supply chain strategies with sustainability goals to drive long-term value and societal impact.

Background: This study investigates digital transformation as a moderating variable in determining the effect of digital technologies, automation, and data integration of upstream and downstream providers on supply chain performance. By filling the existing research gap, the study reveals that more research regarding how digital transformation interventions impact the effectiveness of these technologies for industrial supply chains must be understood. Methods: A structured survey was applied to 181 supply chain managers in manufacturing firms scattered across Jordan. Results: The findings using SmartPLS for statistical analysis indicated that automation has the strongest positive effect on supply chain performance, followed by data integration. But digital technology did not have a significant direct effect, unless it was accompanied by broader digital transformation initiatives. Conclusions: Theoretically, this study reinforces digital transformation theory as a vital framework, whereas in practice, it invokes the strategic deployment of automation and integrated data application designs to underpin supply chain efficiency and competitiveness. Finally, this study offers practical guidance for practitioners who seek to employ the use of digital transformation in the current dynamic business environment.

The study focuses on understanding the moderation effect of organizational agility in the impact of digital HRM system and digital transformation on HR efficiency in organizations intending to excel in the digital era. This study examines the association between digital HRM systems, digital transformation, and HR efficiency, considering the moderating role of organizational agility. Based on the study model, the authors proposed five hypotheses to be tested in this study. They adapted the study instrument based on quantitative descriptive approach and distributed 500 questioners to collect 385 responses. The study’s findings reveal that both digital HRM systems and digital transformation impact HR efficiency. The significant findings were that digital HRM systems (β = 0.456, p < 0.001) and digital transformation (β = 0.194, p = 0.006) have a positive and significant impact on HR efficiency. In addition, organizational agility serves as a moderator in the relationship between digital HRM systems and HR efficiency (β = 0.154, p = 0.025) but has no effect on the relationship with digital transformation (β = − 0.075, p = 0.248). This study contributes to the literature by demonstrating the role of digital HRM systems and digital transformation as key organizational resources that enhance HR efficiency. It also highlights how organizational agility and digital capabilities serve as dynamic resources, contributing to an organization’s adaptability and sustained competitive advantage. The future research directions and limitations are presented at the end.

This research enters deeply into the critical dynamics of characteristics within digital supply chains and their collective eventual influence on inventory management efficiency. The study uses an exhaustive survey of 350 engineering company representatives to reveal the complex interactions between different qualities of supply chain systems-on-time data and inventory practice efficiency. By applying advanced techniques of regression analysis, the authors worked out three hypotheses and exhaustively tested them to find out the impact of digital adaptivity, dynamism and flexibility on both the visibility of information and inventory management effectiveness. This study has many interesting findings. First, this paper found strong positive connections between Digital Adaptability Supply Chain and Digital Flexibility Supply Chain in terms of both information visibility and inventory management effectiveness. These results argue that to effectively manage inventory levels with optimal information transparency across its network of links, companies must establish supply chain systems that can adapt to change and embrace flexibility. Digital Agility Supply Chain did not show any significant relationships with these variables, but it could be important. We need to study its nuances until we know how it is going to affect supply chain performance indices. This paper encourages investment in new supply chain technologies that will help all the engineering companies in Jordan be more adaptable and flexible. It also calls for adding data analysis capabilities across the company directly into supply chain processes through real-time tracking solutions. These solutions will make it easier to see and give decision-makers quick, reliable information about inventory management practices and agreement practices. By incorporating these recommendations, all Jordanian engineering companies can enhance their supply capacity and appropriate inventory management procedures to compete in the evolving marketplace now finally taking effect.