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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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]