A competitiveness measurement system of Brazilian start-ups

Júnior, Claudio Roberto Silva; Siluk, Julio Cezar Mairesse; Paris, Sabine Ritter De; Francescatto, Matheus; Michelin, Cláudia de Freitas

doi:10.1108/ijppm-02-2022-0098

Cited by 7 publications

(3 citation statements)

References 106 publications

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“…Finally, we provide guidelines for adopting the proposed approach. As such, this research addresses the recognised literature gap and responds to the need of robust SV measurement (Menghwar and Daood, 2021) in IEs (Cobben et al, 2022;Da Silva et al, 2022;Silva et al, 2022) emphasised by scholars and practitioners. Therefore, this paper offers both academic and practical contributions.…”

Section: Discussionmentioning

confidence: 96%

Assessing shared value in innovation ecosystems: a new perspective of scorecard

Piantoni,

Dell'Agostino,

Arena

et al. 2023

IJPPM

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PurposeMeasuring shared value (SV) created in innovation ecosystems (IEs) is increasingly relevant but complex, given the multidimensional and multiactor nature of both concepts, which challenges traditional performance measurement systems (PMSs). Moving from this gap, the authors propose an integrated approach to extend the balanced scorecard (BSC) for measuring and monitoring SV creation at IE level.Design/methodology/approachThe proposed approach combines the most recent contributions on PMS in IEs and SV to define perspectives and dimensions that are better suited to deal with the nature of both IEs and SV. The approach is also applied to the real case (Alpha) of an Italian IE through a step wise method. Starting from the IE vision, the authors identify in the strategy map the specific objectives related to each perspective/dimension combination and then associate a performance indicator with each objective.FindingsThe resulting SV BSC is composed of indicators interconnected along different perspectives and dimensions. The application of the approach to the real case proves its feasibility and highlights characteristics, advantages and disadvantages of the SV BSC when used at IE level. The authors also provide guidelines for its application to other IEs.Originality/valueThe study contributes to the research on PMS by introducing and applying to a real case an integrated approach to assess SV in IEs, overcoming the shortcomings of PMS framed for single firms. It can be of interest for both researchers in the field of ecosystems value creation and practitioners managing or promoting such complex structures.

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Section: Discussionmentioning

confidence: 96%

Assessing shared value in innovation ecosystems: a new perspective of scorecard

Piantoni,

Dell'Agostino,

Arena

et al. 2023

IJPPM

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“…This technique helps to organize and structure complicated, multi-person, and multi-attribute problems hierarchically and determines the relative importance weights of various parameters and decision factors based on pairwise comparisons provided by a group of decision makers. Despite the universality of AHP, it has been criticized by numerous scholars for its deficiency in handling the uncertainty and vagueness of personal subjective judgments and preferences (Belhadi et al, 2017;Kumar, Brar, et al, 2022;Silva Júnior et al, 2022). To address this issue, an integration of fuzzy theory with AHP, known as fuzzy AHP, has been developed as a way of solving the weaknesses of hierarchical fuzzy problems and improving it further to provide a more accurate judgment during the decision-making process (Sharfuddin Ahmed Khan et al, 2019).…”

Section: Fuzzy Ahpmentioning

confidence: 99%

A hybrid multi-criteria decision-making approach for hospitals’ sustainability performance evaluation under fuzzy environment

Regragui

Sefiani

Azzouzi

et al. 2023

IJPPM

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PurposeHospital structures serve to protect and improve public health; however, they are recognized as a major source of environmental degradation. Thus, an effective performance evaluation framework is required to improve hospital sustainability. In this context, this study presents a holistic methodology that integrates the sustainability balanced scorecard (SBSC) with fuzzy Delphi method and fuzzy multi-criteria decision-making approaches for evaluating the sustainability performance of hospitals.Design/methodology/approachInitially, a comprehensive list of relevant sustainability evaluation criteria was considered based on six SBSC-based dimensions, in line with triple-bottom-line sustainability dimensions, and derived from the literature review and experts’ opinions. Then, the weights of perspectives and their respective criteria are computed and ranked utilizing the fuzzy analytic hierarchy process. Subsequently, the hospitals’ sustainable performance values are ranked based on these criteria using the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution.FindingsA numerical application was conducted in six public hospitals to exhibit the proposed model’s applicability. The results of this study revealed that “Patient satisfaction,” “Efficiency,” “Effectiveness,” “Access to care” and “Waste production,” respectively, are the five most important criteria of sustainable performance.Practical implicationsThe new model will provide decision-makers with management tools that may help them identify the relevant factors for upgrading the level of sustainability in their hospitals and thus improve public health and community well-being.Originality/valueThis is the first study that proposes a new hybrid decision-making methodology for evaluating and comparing hospitals’ sustainability performance under a fuzzy environment.

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“…The article's objective is to map and verify the dependence relation between the risks faced by startup investors. Startups are new companies which have competitive advantage on products and services innovation (Freeman and Engel 2007;Silva Júnior et al 2022c), significantly contributing to economic and social development (Audretsch et al 2006;Song et al 2008;Reuther et al 2022). However, despite startups serving as drivers of innovation and competitiveness, they face difficulties surviving the market (Criaco et al 2014;Kaczam et al 2022).…”

Section: Introductionmentioning

confidence: 99%

Mapping Risks Faced by Startup Investors: An Approach Based on the Apriori Algorithm

Silva Júnior,

Siluk,

Neuenfeldt-Júnior

et al. 2023

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This article maps and verifies the dependence relation between risks faced by startup investors. Thus, a systematic review of 33 articles and a meta-analysis using the Apriori algorithm were used. We mapped 14 investment risks faced by startup investors, classifying them into four dimensions: external, internal, human, and capital. Furthermore, by using the Apriori algorithm, dependency relations between nine investment risks were observed. This research fills a gap related to the non-structuring of a holistic approach to the investment risks startup investors face. In addition, a comprehensive review of and a discussion about the relation between investment risks provides a theoretical foundation for startups’ investments based on analyzing the risks inherent to this activity.

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A competitiveness measurement system of Brazilian start-ups

Cited by 7 publications

References 106 publications

Assessing shared value in innovation ecosystems: a new perspective of scorecard

Assessing shared value in innovation ecosystems: a new perspective of scorecard

A hybrid multi-criteria decision-making approach for hospitals’ sustainability performance evaluation under fuzzy environment

Mapping Risks Faced by Startup Investors: An Approach Based on the Apriori Algorithm

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