Ahmad Alzubi

• University of Mediterranean Karpasia

The rapidly growing proliferation of digital technology presents unprecedented opportunities to address sustainability challenges in today’s manufacturing sector. This research examines the effects of digital transformation on sustainable corporate performance, focusing on the mediating roles of green knowledge acquisition and innovative performanc...

Return rate prediction involves forecasting the rate at which products or investments are returned, driven by factors such as customer dissatisfaction or financial performance. This predictive capability is crucial for businesses and financial institutions, as it facilitates improved decision-making, optimized inventory management, and enhanced ris...

Demand forecasting is a quite challenging task, which is sensitive to several factors such as endogenous and exogenous parameters. In the context of supply chain management, demand forecasting aids to optimize the resources effectively. In recent years, numerous methods were developed for Supply Chain (SC) demand forecasting, which posed several li...

Forecasting stock market movements is a critical yet challenging endeavor due to the inherent nonlinearity, chaotic behavior, and dynamic nature of financial markets. This study proposes the Autoregressive Integrated Moving Average Ensemble Recurrent Light Gradient Boosting Machine (AR-ERLM), an innovative model designed to enhance the precision an...

In today’s dynamic organizational environments, interpersonal conflict and social exclusion can significantly impact employee behavior and organizational effectiveness. This study explores the complex interplay between interpersonal conflict, workplace ostracism, and interpersonal deviance in Jordan’s public sector, emphasizing the moderating role...

In today’s dynamic organizational environments, interpersonal conflict and social exclusion can significantly impact employee behavior and organizational effectiveness. This study explores the complex interplay between interpersonal conflict, workplace ostracism, and interpersonal deviance in Jordan’s public sector, emphasizing the moderating role...

Workplace hazing remains a critical concern in the hospitality sector, known for its high-pressure environments and hierarchical dynamics. Drawing on transactional stress theory, this study explores the intricate relationships between workplace hazing, emotional exhaustion, and deviant behavior, with a focus on the moderating roles of hope and opti...

Small and medium-sized enterprises (SMEs) are pivotal in driving economic growth and sustainability, necessitating a strategic focus on innovation and knowledge application to navigate dynamic markets effectively. Grounded in the Natural Resource-Based View (NRBV) and Knowledge-Based View (KBV) theories, this study investigates the interplay betwee...

Construction sites are among the most hazardous workplaces, making safety a critical concern in the sector. This study investigates the interplay between safety leadership, employee morale, harmonious safety passion, and safety performance through the lens of the social exchange theory. This research aims to assess how safety leadership impacts saf...

The global push for sustainability has driven firms to adopt green supply chain management (GSCM) practices to mitigate environmental impacts and enhance performance. However, the link between GSCM and environmental performance (EP) remains inconclusive, particularly in developing economies and polluting industries, such as textiles. This study inv...

This study introduces an optimized ensemble deep neural network (Optimized Ensemble Deep-NN) to enhance the accuracy of predicting student grades. This model solves the problem of different and complicated student performance data by using deep neural networks, ensemble learning, and a number of optimization algorithms, such as Adam, SGD, and RMS P...

Ensuring workplace safety in high-risk sectors is critical to achieving sustainable productivity and occupational health, particularly in industries prone to unsafe practices. Drawing on social exchange theory (SET), this study examines the impact of empowerment leadership (EL) on electricity workers’ unsafe behaviors (EWUBs) in Jordan, focusing on...

Modern workplaces increasingly use algorithmic management practices (AMPs), which shape task assignment, monitoring, and evaluation. Despite the potential benefits these practices offer, like increased efficiency and objectivity, their impact on workforce well-being (WFW) has raised concerns. Drawing on self-determination theory (SDT) and conservat...

Although organizational green culture and environmental ethics are increasingly acknowledged as crucial, few studies have comprehensively examined the interconnected relationship between green innovation and sustainable performance, particularly within manufacturing firms. As such, this study empirically examines the relationship between environmen...

In an industry where safety is paramount yet frequently compromised, the transformative impact of safety leadership on workers’ safety behavior illuminates a path to reducing construction hazards and fostering a culture of proactive safety practices. Combining transformational leadership theory, social exchange theory, and the theory of planned beh...

Objectives. Despite extensive regulatory reform, safety research and safety programmes over the past several decades, the construction sector remains notoriously dangerous in different regions across the world. Despite the fact that effective leadership is crucial for improving workplace safety behaviour (SB), there have been insufficient studies o...

The construction industry faces significant challenges in ensuring worker safety, encompassing both physical hazards and mental health concerns. Drawing on Social Exchange Theory (SET), this study explores the impact of perceived leadership support (PLS) on employee safety behavior (ESB) and safety citizenship behavior (SCB), focusing on the mediat...

In today’s rapidly evolving business landscape, non-core firms face increasing pressure to innovate while adhering to sustainable practices. Non-core firms are organizations that operate in peripheral or less central positions within an ecosystem, having limited access to critical resources but playing essential supportive roles in innovation proce...

The growing use of artificial intelligence (AI) for decision-making in smart cities has ignited serious debates on the positive aspects and potential harms of AI in smart cities. However, research on this subject is yet to be comprehensive. While previous studies have examined the direct link between AI and smart decision-making (SDM), extant resul...

The pursuit of sustainable development has become a global priority, with the United Nations Sustainable Development Goals (UN SDGs) serving as a comprehensive framework for addressing various social, economic, and environmental challenges. Employing the stimulus–organization–response (SOR) model, this study examines the impact of customer’s percep...

Strategic entrepreneurship behaviors enhance business performance and sustainability in Turkish SMEs by fostering innovation and leveraging competitive intensity for sustained growth. Employing strategic leadership theory, this study examines the effect of strategic entrepreneurial behaviors on business performance through the mediation role of bus...

This research presents a uni-regression deep approximate forecasting model for predicting future demand in supply chains, tackling issues like complex patterns, external factors, and nonlinear relationships. It diverges from traditional models by employing a deep learning strategy through recurrent bidirectional long short-term memory (BiLSTM) and...

Firms are increasingly expected to exhibit social responsibility and contribute to sustainability goals. Emerging studies have highlighted the importance of responsible leaders who stimulate their employees, which then results in employee voluntary behavior toward the environmental practices, referred to as organizational citizenship behavior for t...

Out-of-stock prediction refers to the activity of forecasting the time when a product will not be available for purchase because of an inventory deficiency. Due to difficulties, out-of-stock forecasting models now face certain challenges. Incorrect demand forecasting may result in a lack or excess of goods in stock, a factor that affects client sat...

Inventory prediction is concerned with the forecasting of future demand for products in order to optimize inventory levels and supply chain management. The challenges include demand volatility, data quality, multi-dimensional interactions, lead time variability, seasonal trends, and dynamic pricing. Nevertheless, these models suffer from numerous s...

At the crossroads of innovation and responsibility, our study delves into CSR’s pivotal role in steering organizations toward sustainable value creation. Combining the frameworks of stakeholder theory, the resource-based view, and dynamic capabilities theory, this study examines the influence of corporate social responsibility (CSR) in enhancing su...

With the appearance of rising environmental challenges, businesses are increasingly recognizing the imperative of adopting sustainable practices. Within this context, the concept of green entrepreneurship has emerged as a pivotal force driving environmentally responsible innovation and economic growth. Employing Green Theory, this study examines th...

Purpose The purpose of this study is to investigate the relationship between the absorptive capacity (AC) of a firm and project success (PS), with particular attention to the mediating role of customer knowledge management capability (CKMC) and the moderating role of environmental complexity (EC). By using data collected from Turkish SMEs across di...

At the heart of supply chain innovation lies the challenge of complexity, a pivotal force shaping the pathways to resilience and sustainable success in today’s business environment. Drawing from the resource-based view, dynamic capabilities, and contingency theories, this study examines the impact of green innovation strategies on supply chain resi...

In an era where digital transformation (DGT) is pivotal for organizational resilience and competitiveness, integrating sustainability into the digitalization process has emerged as a strategic imperative. By employing the resource-based view (RBV) and the dynamic capability theory (DCT), this study delves into the micro-foundations of DGT in medium...

The modern business world is confronted with growing social and environmental issues, which pose a serious challenge to pursuing sustainable growth. Drawing from the natural resource base view and stakeholder theory, this study examines the effect of humane entrepreneurship on sustainable corporate performance through the mediating mechanism of gre...

The COVID-19 crisis has notably impacted global supply chains as it has disrupted manufacturing operations. To recover from the aforementioned disruptions, supply chain digitalization [SCD] is increasingly being acknowledged to help the recovery process. Based on this, scholars have called for additional research on how SCD can enhance supply chain...

Maintaining the integrity of products and processes in a multi-party supply chain is a complex task. Consequently, companies are employing data-driven technology to gain the capacity to overcome these challenges. Numerous existing solutions suffer from various protocol regulations across multiple distributions and processes, data fragmentation, and...

In the context of the rapidly evolving landscape shaped by the increased prevalence of digital technologies and the transformative dynamics of supply chains in the post-COVID-19 era, this research seeks to address a crucial gap by examining the mediating role played by supply chain integration and efficiency. The primary aim is to provide a more co...

Recently, firms have adopted sustainable supply chain practices (SSCPs) to reduce the social and environmental impacts in their supply chain network. The primary objective is to reduce adversarial negative impacts on the environment, particularly those stemming from consumption of energy and water. Embracing sustainable business practices is increa...

Objective: this study proposes the development of a wireless graphical interface with a monitoring system that allows for extensive integration with a variety of non-invasive devices. Method: an evaluation framework was created using ISO/IEC25012 parameters to evaluate each of the physiological parameters. Using an ISO standard as a framework to ev...

Academics and practitioners have shown growing interests in big data analytics and artificial intelligence (BDA-AI) in recent years. Despite this, research on the application of BDA-AI for green supply chain collaboration (GSCC) and its influence on environmental performance (EP) is still limited. The current research addresses this gap and extends...

With the rapid development of artificial intelligence (AI), AI for smart decision-making is attracting a lot of attention, but research on this topic in smart cities is not yet comprehensive. Thus, the current research aimed to examine the direct and indirect (via technology anxiety) relationships between artificial intelligence (AI), technology an...

A century after the Spanish Flu, the world has again witnessed a new pandemic that affected the whole globe and stopped life for a long time. This book brings together studies on the impact of the COVID-19 pandemic authored by distinguished, examining its effect in various fields, including education, the economy, international capital markets, ban...

E-government began by addressing the challenges of new technologies by delivering e-services to its citizens and has since evolved to include a growing number of areas, such as citizen communication, macroeconomic projections, budget management, and e-healthcare services. E-government is known as the use of information technology to provide adminis...

The e-learning platform gains significant attraction in the current scenario due to the outbreak of the epidemic COVID-19 as e-learning ensures the students continue their studies in the safest environment while maintaining the educational standard. The performance prediction is one of the significant tasks to be carried out in the e-learning platf...

The study investigates asymmetries in energy use, real output growth, FDI, energy intensity and CO2 emission in Kazakhstan. The linear ARDL approach of Pesaran et al. (2001. Journal of Applied Econometrics, 16(3), 289–326) was adopted following Aslan (2014. Energy Sources, Part B: Economics, Planning, and Policy, 9, 25–31) to examine the causality...