Frugal innovation aims to attain significantly cheaper solutions on the market. The literature points out a lack of studies addressing frugal innovation from a process-oriented (ex-ante) perspective, as well as how to structure and leverage the frugal product development process. This paper explores how lean principles and fundamentals, and more particularly lean product development (LPD) can help fill this gap. The incidence of different types of waste has been observed throughout the new product development (NPD) process, and their mitigation could certainly leverage frugal innovation from the process perspective. However, to operationalize waste mitigation, an evaluation of how different types of waste are related to the various existing LPD practices is necessary. We accordingly build a relationship matrix between LPD practices and waste mitigation throughout the NPD process, based on a literature review encompassing 310 studies. By correlating LPD practices and waste, this paper proposes and discusses a conceptual model that brings insights to understanding how LPD can drive frugal innovations from an ex-ante perspective. The contributions of this paper are the categorization and classification of waste within NPD; the assessment and classification of the lean practices most studied in the literature; the association of the categories of waste with the corresponding lean practices; and the discussion of the possible contribution of LPD literature to leverage frugal innovation from a process-oriented perspective.
Purpose The purpose of this paper is to introduce a multi-level framework for semantic modeling (MFSM) based on four signification levels: objects, classes of entities, instances and domains. In addition, four fundamental propositions of the signification process underpin these levels, namely, classification, decomposition, instantiation and contextualization. Design/methodology/approach The deductive approach guided the design of this modeling framework. The authors empirically validated the MFSM in two ways. First, the authors identified the signification processes used in articles that deal with semantic modeling. The authors then applied the MFSM to model the semantic context of the literature about lean manufacturing, a field of management science. Findings The MFSM presents a highly consistent approach about the signification process, integrates the semantic modeling literature in a new and comprehensive view; and permits the modeling of any semantic context, thus facilitating the development of knowledge organization systems based on semantic search. Research limitations/implications The use of MFSM is manual and, thus, requires a considerable effort of the team that decides to model a semantic context. In this paper, the modeling was generated by specialists, and in the future should be applicated to lay users. Practical implications The MFSM opens up avenues to a new form of classification of documents, as well as for the development of tools based on the semantic search, and to investigate how users do their searches. Social implications The MFSM can be used to model archives semantically in public or private settings. In future, it can be incorporated to search engines for more efficient searches of users. Originality/value The MFSM provides a new and comprehensive approach about the elementary levels and activities in the process of signification. In addition, this new framework presents a new form to model semantically any context classifying its objects.
Purpose This study aims to identify supply chain (SC) management practices applied to purchasing capable of improving the resilience of the health-care SC and mitigating the effects of material and service disruption during pandemics. Design/methodology/approach The approach adopted is qualitative and is based on a systematic literature review from the ScienceDirect, Emerald, Wiley and Web of Science databases. After selecting 705 documents, filters are applied, and 52 articles present problems faced by purchasing the health-care SC during the coronavirus disease 2019 (COVID-19) pandemic. Findings This article suggests five propositions of resilient practices that can increase purchasing resilience in the face of pandemics such as COVID-19. The proposed practices are collaboration, flexibility, visibility, agility and information sharing, which suggest a sequence for the adoption of management practices based on the number of occurrences and importance found in the analysed studies. Research limitations/implications This study does not find robust empirical evidence that could categorically state that the results can be replicated in organisations in general. Thus, as a continuation of research, more studies should use an empirical methodology and case analysis to organise different branches. As the human factor was decisive for the results observed in the literature, future research should dedicate part of the studies to the psychological area of professionals. Actions to combat the pandemic were implemented, impacting positively and negatively on the results obtained. Future research on combat actions could indicate which ones should be avoided. Practical implications As a result, disruptions are expected to be reduced, and consequently, the resilience of the SC will increase. Accordingly, purchasing processes and procedures can be redefined to positively influence the resilience of the health-care SC. Resilience is related to maintaining the flow of supply, as well as systems and actions aimed at mitigating the effects of disruptions in the hospital’s core business. Social implications Health systems need to respond to society’s needs even in the face of global crises, such as the one faced during the COVID-19 pandemic. The overload in hospitals and the exponential demand for specific medicines and services in the fight against the crisis caused by the COVID-19 pandemic require enormous coordination in procurement by the purchasing sector. This planning aims to ensure that the care provided by health services maintains the flow of value that serves hospitalised patients. Originality/value This study introduces a new approach to the recurrent problem of disruption of the health-care SC during a pandemic using a combination of five important management practices. This proves useful for mitigating disruptions and their effects on the health-care SC.
This research aims to evaluate the impact of lean product development (LPD) and lean startup (LS) practices on startup performance. A survey with 114 responses from Brazilian startups in the Information Technology sector evaluated the direct effects of LPD and LS on organizational performance, as well as the potential cross-effects between them. The assumptions were validated using a structural equation modeling for data analysis, which confirms that the adoption of these methodologies has a positive significant impact on startup performance, especially the practices involving teamwork and the design of minimum viable products.
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