PurposeThis study is to propose a procedure to support decisions on which enablers should be employed to minimize the impact of barriers to implementing mass customization strategies in food companies.Design/methodology/approachThrough interpretive structural modeling, the authors analyzed the relationships between barriers. Then, with an approach similar to the quality function deployment technique, commonly used in general product and process development, the authors clarified the relationships between barriers and enablers.FindingsThe results revealed 19 barriers and 17 enablers for implementing food mass customization. The analysis indicates that most of the barriers (16) present strong associations with each other. The barrier “products with non-customizable features” depends on the whole chain of associations and causes a minor impact on the other barriers. In turn, the barrier “ingredient incompatibility” causes impact over the whole chain, and its dependence on other barriers is very low.Research limitations/implicationsThe results were tested in a single Brazilian company in the food sector.Practical implicationsThe findings can allow food manufacturing companies to focus their efforts on the improvement of enabling technologies, such as smart packaging, Internet of Things and additive manufacture.Social implicationsThis study would help food companies to improve their business and provide better products to society.Originality/valueThere are few recommendations in the literature to how to implement mass customization strategy in companies from the food sector. This study fills in this gap presenting a procedure to guide managerial staff to develop this promising approach for food companies.
Purpose Previous studies have identified a variety of Internet of Things (IoT) business models and have recognised the complexity related to the application of IoT technologies in business, along with the potential of the modularity concept application in organisational design. The purpose of this paper is to identify the main building blocks for the development of a business model canvas for companies that adopt the IoT in their business. Design/methodology/approach First, the authors carried a systematic literature review to identify theoretical, experimental and practical IoT business model canvas recorded in the literature. Then, the authors identified and analysed the characteristics of the building blocks present in these canvas using a statistical cluster technique. Based on the outcomes, the authors proposed a framework with standard and optional modules to allow flexible arrangements and suit different IoT business goals. Findings The results revealed that the IoT business model canvas recorded in the literature had been grossly designed to attend two drivers: manufacture and service organisations. Therefore, based on the frequency of building blocks present in IoT business model canvas recorded in the literature, it has been proposed two flexible frameworks which can be tailored to accommodate the immense variety of possibilities offered by IoT technologies in manufacture and service business. Practical implications The business model frameworks proposed in this research can support entrepreneurs structuring new IoT businesses or upgrading existing businesses. Originality/value This research offers a comprehensive IoT business model framework with their respective building blocks built from an extensive literature review.
Resumo A lógica de produção habitacional tem excluído os consumidores do processo decisório, atribuindo-lhes o encargo de adequar a moradia às próprias necessidades após o recebimento das chaves. Isso gera desperdício de recursos, prejuízo à segurança dos moradores e às relações de vizinhança, além de reduzir a vida útil dos edifícios. Assim, torna-se indispensável propor estratégias que minimizem a necessidade de reforma de imóveis recém-construídos. Com o objetivo de esclarecer as demandas de customização em edifícios residenciais no Brasil, investigou-se o escopo das adaptações conduzidas por moradores ao longo da ocupação de uma amostra de 62 apartamentos nas cidades de São Paulo e Santos. A partir dos dados obtidos, realizou-se uma análise de agrupamentos, na qual identificaram-se três padrões de demandas de customização: (1) alteração de acabamentos, equipamentos, leiaute e aberturas; (2) adição de equipamentos não previstos originalmente, como banheiras, e condicionadores de ar; e (3) ampliação por incorporação de áreas comuns pouco acessadas, não reclamadas por outros moradores. Como os dois últimos padrões afetam o esqueleto do edifício, requerendo obras geridas por especialistas, consideram-se abordagens técnicas e legais para viabilizá-las a partir dos conceitos da customização em massa.
This study tested two forms of data gathering, three different methods of data registration, and two of modeling for the creation of 3D models of heritage landmarks. The applications on elements of three different scales were tested, a Cathedral, a Monument, and an Art Panel. The open-source Meshroom resulted in the best model in measures of mesh detail, reconstruction capability, and mesh refinement, regardless of the data acquisition method. Results may aid researchers and designers in choosing a workflow that suits their needs developing the best model possible, according to the tools they have at their disposal.
The implementation of Product Development Processes (PDP) is an approach for systematizing the innovation process in companies. Given the trend of autonomous connectivity and information processing, with the controlled performance of products promoted by the Internet of Things, it has become increasingly necessary to study how companies should adapt their PDP to develop smart products. Hence, the purpose of this study is to compare a theoretical IoT product development model to a model currently in practice by a technology company.The results indicate that the company's experience has adherence to the theoretic IoT product development proposals, performing most of the activities recommended by the literature. Among the activities considered critical for IoT Product Development, the results revealed a great difficulty for the company to implement product monitoring actions. Although the literature suggests a large scope of possibilities on monitoring products performance, in this company, the implementation of product monitoring systems is still on an inception stage.
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.