The amount of wood waste from furniture production is increasing. Wood waste is diverse and ranges from wood-splitting residues to leftovers from furniture production. Wood waste occurs in companies, ...household-based industries, and other forms of business where waste accumulates; therefore, an environmental and ethical policy is needed. The aim of this study was to identify products created using wood waste and describe government regulations related to environmental policies. We analyzed the management of wood waste for use as a new product so that it is useful, does not become waste, and complies with policies related to environmental ethics. A case study design using qualitative methods was used. This research focused on managing wood waste in Jepara's furniture and crafts industry for the 2010-2021 period, using 23 sources from primary, secondary, and other supporting documents. Data were collected through observation or gathering information related to research needs, conducting closed-door interviews with research sources, documenting data to strengthen research findings, and using online questionnaires to corroborate information related to wood waste management. This article presents wood waste products designed with optimized environmental ethics and awareness of environmental laws in wood-based industries.
•Green practices based on innovation are relevant for the environmental performance•Innovation plays a prominent role in the furniture industry•The study depicts three types of green innovation•Green ...innovation in product and eco-efficiency support competitive enablers•Green innovation in operation and process reduces cost and promotes differentiation
The purpose of this article is to define how green innovation supports competitive advantage in a cluster of furniture companies located in Southern Brazil. The cluster encompasses 245 companies located in Southern Brazil. The research method is a survey, which returned 98 valid responses from the companies sampled followed by a structural equation modeling by partial least squares executed by the SMART-PLS software. A literature review produced a reference model for green innovation comprising 30 manifest variables. Factor analysis by principal components deleted two manifest variables and classified the others in three factors, operation and process, product and customer, and eco-efficiency. The model includes two endogenous latent constructs. The first is competitive enablers, supported by corporate image, customer satisfaction, and market share. The second is competitive advantage, supported by cost reduction and differentiation. The main results are: green innovation focused on operation and process does not positively influence competitive enablers but influences competitive advantages; green innovation focused on product and customers, and eco-efficiency positively influence the competitive enablers; competitive enablers based only on product and customers and on eco-efficiency positively influences the competitive advantage.
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It is not uncommon to see start-ups suddenly fail. Often, startups try to follow the example of other, successful companies, but they don’t always succeed, so this article looks at KPIs for startups ...in the furniture industry. The furniture industry in the Baltic States is reviewed and their development at different stages of the company’s growth is analyzed. The product factors and interrelationships of a successful furniture company have been identified. The article presents the results of the surveyed companies engaged in the development of products for the furniture industry. The reasons and the main factors influencing the success of the company are given. Based on the results of the study, a model for the development of KPIs for start-ups in the furniture industry is presented and conclusions and suggestions are presented. The model consisted of 10 different spheres (success factors, fail factors, inbound logistics, outbound logistics, marketing & sales, procurement, operation, service, HRM, technology development, sustainability) for 5 different companies size (1–9 employees, 10–49 employees, 50–99 employees, 100–249 employees and 250 and more employees). In the model were overwide main KPIs blocks and suggested considerate of companies size.
O objetivo deste artigo é propor um novo modelo de gestão focado especificamente em micro e pequenas marcenarias do setor moveleiro. Para cumprir este objetivo foi utilizado o método de pesquisa da ...Design Science Research (DSR) na elaboração de um artefato prático que consiga equalizar as dificuldades de subsistência encontradas no segmento e atender às necessidades específicas não contempladas por modelos de gestão genéricos. Além disso, o estudo criado foi amparado na pesquisa bibliográfica de dois marcos teóricos: “Modelos de Gestão” e “Setor moveleiro e suas características” e na análise comparativa de três modelos de gestão selecionados: “Seis Caixas”, “McKinsey 7s” e “Estrela de Galbraith”. O modelo desenvolvido foi chamado de Marcenaria 5A e é composto pela segmentação da empresa em 5 setores: Administrativo, Comercial, PCP, Produção e Execução. O artefato apresenta também os macros processos presentes em cada um dos setores bem como suas relações e fluxos de trabalho e informação.
PurposeSmart furniture is an essential part of research that has been designed to best complement easy and safe human interaction. The purpose of smart furniture is to save the space of the house and ...make the products unique, awesome and safe, functional, strong and also make it works better so the people can live better with it. This research aims to explore the key supply chain strategies implemented by the Indian smart furniture industry to reduce the impact of a post-COVID-19 pandemic.Design/methodology/approachThis work utilized a case study and conducted semi-structured interviews with the top leadership of the smart furniture manufacturing industry to explore key supply chain strategies to reduce the influence of the post-COVID-19 pandemic. Additionally, key supply chain strategies have been analyzed using a multi-criteria decision-making technique known as grey relational analysis (GRA) to determine their ranking significance in the smart furniture industry.FindingsThe results of this study discovered that “Inventory-Categorization” is essential in ensuring business continuity during the COVID-19 pandemic and helps reduce the amount of stock they have on hand. It enhanced the opportunity for employees to properly focus on their work and an opportunity for better work-life balance. The results of the study can also help supply chain stakeholders in their establishment of critical strategies.Research limitations/implicationsThe implications of this research work help the Indian furniture industry to make supply chain investment decisions that benefit the organization to sustain itself.Originality/valueThis is the first study to explore key supply chain strategies for the post-COVID-19 era. This work will assist managers and practitioners in helping the organization decide which supply chain strategies are more critical to the betterment of the organization.
Supply chain security is a major prerequisite for China’s successful industrial modernization, while the digital economy has significantly contributed to industrial transformation and upgrading. This ...study considers China’s wooden furniture industry as its research object, constructing an evaluation index system of the digital economy and supply chain security of the wooden furniture industry. Then, it studies the impact of the digital economy on supply chain security through theoretical analysis and empirical methods using the two-way fixed model of provinces and time. The findings demonstrate that the digital economy effectively enhances the level of supply chain security in China’s wooden furniture industry, further validating the digital economy’s positive externality impact on the traditional real economy. The impact mechanism test shows that inventory turnover capacity is the focal point for the digital economy to improve the supply chain security of the wood furniture industry, specifying the starting point for that industry’s digital transformation. The heterogeneity findings show that the role of the digital economy in improving the wood furniture industry’s level of supply chain security is more significant in inland areas than in coastal areas. Additional analyses found a threshold effect of the digital economy’s impact on supply chain security, indicating its limitations. This study explores the impact of the digital economy on the real economy from a traditional manufacturing industry, enriching research on the positive externalities of the digital economy as well as providing a reference for traditional manufacturing industries, such as that of wooden furniture, to probe the embedding points of the digital economy and appropriate digital transformation.
The Chinese furniture industry is important in the development of not only the furniture industry but also the social economy. From the point of view of the current state of the furniture industry in ...China, this review analyzes the current state of the industry’s regional overall operation, industrial distribution, consumer market, development of industrial technology, and information industry chain in detail. After analyzing the product brand construction and market competition, industry cost, customer demand and consumer protection, industrialization and information integrations, resource and environmental challenges, this article give a detailed interpretation of a new state and challenge that the Chinese furniture industry will meet in the future. Meanwhile, the authors also suggest several measures, including promoting the development of industrial clusters and improvement of the whole industry chain, technological content, and added value of furniture production. The results of this article should have practical significance for sustainable development of the Chinese furniture industry as well as the world furniture industry.
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