The aim of this review study is to understand the current state and practice of sustainability innovation in the textile industry. The textile industry is regarded as one of the industries that faces the biggest challenges in incorporating sustainability in its business practices. In this study, we conducted a systematic review to synthesize empirical knowledge relevant to sustainable innovation in the textile industry. From the systematic search process, 41 papers that were identified met the criteria of inclusion and were then analyzed qualitatively using thematic analysis. The findings showed that the attention of researchers toward sustainability innovation has increased in the recent years. Sustainability innovation practices in the textile industry were identified. Sustainability product innovation includes ecodesign, ecolabel, life cycle assessment, materials, and packaging. Sustainability process innovation includes cleaner production, ecoefficiency, waste handling, supply chain management, and enzymatic textile processing in process innovation. Sustainability organizational innovation includes the environmental management system (EMS) and corporate policy, collaboration, business model innovation, culture and knowledge management, and enzymatic textile processing. This study found that the dominant sustainability innovation practice discussed in the textile industry is more related to the ecological innovation aspect compared to social innovation. As consumer demand for ecofriendly products is growing, as are more stringent regulations, it is important for business players and policymakers to develop sustainability innovation in the textile industry together.
An optimization model of allocation of zakat fund and recipients is developed based on the Data Envelopment Analysis - Resource Allocation Model (DEA-RAM). The quantitative method plays an important role in optimal allocation of zakat delivery programs performed by some zakat institutions; that is by reallocation of initial setting of the zakat fund and beneficiaries numbers. It raises the needs of improvements in their recent strategies on the programs by the institutions. Zakat institutions, even the government as regulator, should have a clear focus on the poverty-empowerment-based programs in providing needed capitals for poverty empowerment. They are expected to create certain conditions in order to prevent excessive of fund allocation for the charity-based delivery programs.
Young people make up the majority of online shoppers in Indonesia. The objectives of this study are to characterize the consumer decision-making styles of young internet users and to create a profile of their online shopping styles. A quantitative research approach was used to accomplish the research objectives. The primary data for the study were gathered by sending questionnaires via social media to consumers from Generation Z and millennials who buy goods through e-commerce in Indonesia; 400 people responded. The survey questions were based on the consumer style inventory (CSI). Seven characteristics of Indonesian young consumers’ online shopping styles are identified through factor analysis. According to the findings of this study, young consumers have a hedonic online shopping style in which they prefer high-quality products, seek entertainment when shopping, and are impulsive. Young consumers are obsessed with novelty and branded goods. They frequently have difficulty selecting online stores and products, but they are loyal to specific stores and brands. This study fills the gap by providing a more detailed understanding of the online shopping styles, with the implications of considering shopping styles when promoting the products and designing the user interface and user experience of an e-commerce store.
Millennials and Generation X (Gen-X) are the fastest-growing market segment in Indonesia. The study aims to discover the salient values of those generations and to investigate their value differences. Data were obtained via questionnaires from 200 respondents of each generation. The questionnaires measure the importance of the values of each generation, consisting of nine values from the List of Values established by Kahle (1986), namely Sense of belonging, Excitement, Being well respected, Fun and enjoyment, Security, Self-fulfillment, Self-respect, Warm relationships with others, and Sense of accomplishment. This study employed factor analysis to identify sets of values representing their underlying values. This method resulted in three inherent values of Gen X and two of Millenials. Gen X shows the importance of Achievement, Family enjoyment, and Social relationship. Meanwhile, the Millennials are conspicuous by the values of Social recognition and Self-pleasing. Companies that choose Gen X as their target market can use their above-mentioned values to be expressed in their marketing strategies. Meanwhile, those who choose Millennials may use the two inherent values of this generation. This study fills a research gap on the characters of the emerging young generation segments in the country that can be adopted to generate market segment characters in the country. Acknowledgment This work was funded by a research grant from the Universitas Padjadjaran, Indonesia.
This study aims to identify and reduce waste in the passenger flow process at the Halim Perdanakusuma Airport departure terminal, so that passenger service remains good even with limited terminal capacity. This research used a qualitative method with a case study approach. The method stages are the observation of the departure passenger flow process mapped through current state Value Stream Mapping (VSM), distribution of questionnaires to obtain critical waste with Borda analysis, and fishbone diagrams to find out the rooting causes of critical waste, the proposing process improvements, and the future state of VSM, The results showed that critical waste in the flow of departure passengers is 22.11%, which includes passenger activities waiting for the Security Check Point 1 and Point 2 queue. Furthermore, based on the current state of VSM, the lead time for departure passengers is 33 minutes 47 seconds and VAR is 20.22%. While form the future state of VSM, the lead time is 28 minutes 22 seconds with a VAR of 20.36%, resulting in time efficiency of 5 minutes 24 seconds.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.