Dr. Firoz Khan

Waste disposal has always been a challenge for organisations around the world, especially, the widely accepted detrimental consequences to the environment from inefficient waste management. The United Nations Sustainable Development Goals are heavily focused on global sustainability where responsible waste management is heavily embedded in these goals. A review of worldwide studies related to waste management is conducted in this paper to identify the level of development of solutions in improving waste management practices. The research method adopted in the review of studies exhibited characteristics of a systematic review which was based on the steps of (1) Does the research investigate innovations for improving waste management systems? and (2) Was the study conducted during the period 2000–2023? A thematic analysis (TA) method was adopted to analyse the reviewed studies based on the criteria of Year, Geography, Research Method adopted, Problems identified for waste management systems and the solutions/innovations developed to overcome the problems for each reviewed study. For all the reviewed studies, an inability amongst the public or businesses to dispose of waste appropriately in terms of metal, glass, plastic, medical and general waste was highlighted as a major issue in waste management. Machine Learning (ML) and Artificial Intelligence (AI) based waste management programs were identified as common solutions amongst the reviewed studies. It should be noted that the highlighted findings from the reviewed studies on challenges and solutions for waste management were not exclusive to a business context. However, limited/no solutions for waste management were identified amongst studies in the United Arab Emirates (UAE). Therefore, a paucity in literature was identified for studies investigating challenges and solutions related to waste management for businesses based in the UAE. Based on the findings from the literature review, a ML based program was developed and proposed for waste management in the context of the UAE and possibly the rest of the world. The findings from this research make policy based (UN SDGs) and practice based (Waste Management ML program to improve business efficiency) contributions through the development of a Waste Management ML program.

In many developing countries export earnings account for a large amount. The use of technology in travel is demonstrated by the increasing acceptance of augmented reality, which seems promising and provides opportunities for further research. This study uses a systematic strategy to investigate augmented reality research, concentrating solely on travel-related literature. The United Kingdom is examined concerning the adoption of augmented reality. Furthermore, the influence of incredibly captivating visuals and the difficulties presented by technology on the intention of consumer preference are examined. Research is examined using a range of papers from pertinent databases. The results show that consumers’ trip experiences are positively impacted by the immersive photos and visual content produced by augmented reality. However, the risk of sensitive personal data being compromised and the end users’ lack of technology literacy have a detrimental impact on the users’ intentions. Based on the results, future research directions are recommended to further enhance the dynamic travel landscape. Travel agents, tour operators, and other travellers will find these results helpful.

This article aims to deepen understanding of the relationship between COVID-19 and panic buying behavior of consumers. The study investigates how psychological factors, perceived product scarcity, and prevailing social conditions during the pandemic influence consumer purchasing patterns. Using a descriptive and conclusive research design, the study employed cross-sectional quantitative methods and structural equation modeling (SEM) to validate the model. Findings indicate that negative emotions such as stress and anxiety, along with perceived scarcity and social conditions, significantly influence panic buying behavior. Gender was also found to play a moderating role in these relationships. The research provides insights for retail managers and policymakers to better understand consumer purchasing patterns during crises and improve strategic decision-making.

This chapter explores the evolution of organizational culture and structure in teal organizations, highlighting how self-management and entrepreneurial culture influence organizational transformation in the context of Economy 4.0. The study discusses emerging organizational models that emphasize decentralization, employee empowerment, and adaptive management approaches to respond to dynamic economic environments.