Food waste (FW) generation from hotel operations have a significant negative impact on the environment, society and economy. Hence, the urgent need to introduce sustainable food management to reduce both FW and operational costs in hotels. The aim of this paper is to identify the drivers of FW generation and barriers to sustainable food waste management (SFWM) in island based hotels. The data were collected using in-depth interview coupled with the observations conducted at 23 selected hoteliers in Langkawi Island, Malaysia. Based on the analysis, using qualitative content analysis (QCA), eight FW drivers were identified and the drivers were classified into three categories of factors, mainly internal, external and intermediate influence. There are four FW drivers identified as internal factors that influenced the implementation of food waste management namely (1) poor hotel management and policies, (2) lack of skills in food preparation, (3) lack of facilities and FW technology and (4) non-implementation of waste audit and waste separation. For external factors, there are two FW drivers, including (5) unsustainable food consumption patterns of the customers and (6) risk of food ingredients spoilage. As for intermediate factors, two FW drivers were identified, which are (7) ineffective communication and (8) inadequate education and awareness. Findings from this study contribute towards a better understanding on the complexity of FW issues, particularly for island-based hotel sector. It was also suggested that a holistic approach with multi-stakeholders is crucial to reduce food wastage towards achieving SFWM.
Researchers have broadly studied textile waste, but the research topics development and performance trends in this study area are still unclear. A bibliometric analysis was conducted to explore the global scientific literature to determine state of the art on textile waste over the past 16 years. Data of publications output are identified based on the Web of Science (from 2015 to 2020). This study used VOSviewer to analyse collaboration networks among authors, countries, institutions, and author's keywords in identifying five main clusters. A total of 3296 papers in textile waste research were identified. In this study, a total of 10451 authors were involved in textile waste research, and 36 authors among them published more than ten research publications in the period of this study. China has been in a top position in textile waste research moving from 3 output publications in 2005 to 91 output publications in 2020. Indian Institute of Technology System IIT System was ranked first in terms of the total publication number (85 publications, 2.45%). Textile wastewater and adsorption are the most commonly used keywords that reflect the current main research direction in this field and received more attention in recent years. Based on keyword cluster analysis outputs, textile waste research can be categorized into five types of clusters, namely (1) pollutant compositions, (2) component of textile wastewater, (3) treatment methods for textile wastewater, (4) effect mechanism of textile wastewater, and (5) recyclability of textile waste.