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This study aims to investigate the occurrence of the decoy effect in stock investment decisions based on fundamental analysis.

In this study, the decoy effect was investigated by applying two questionnaires, one of them with the presence of a decoy alternative, to a set of 224 respondents with knowledge of business fundamentals, simulating investment decisions in stocks of companies listed on the Brazilian Stock Exchange. The data analysis was performed using the Fisher's exact test, Student's t-test and ANOVA. The research also aimed to detect a potential relationship between the variables gender, age, degree and professional experience with the type of decision made.

The results pointed to the occurrence of the decoy effect when analysing the general response data. However, such evidence was not confirmed when the sample was analysed by classes (gender, course, age and professional experience). There is no statistical evidence that the decoy effect influences classes.

The recent decoy effect literature is little explored in investment decision-making. This study is unique in examining the decoy effect in investment decisions in the Brazilian context.

The main factor that leads organizations to implement Building Information Modeling (BIM) is customer demand. While this is a frequent topic in the BIM literature, few studies address BIM organizational readiness. Due to this gap in BIM implementation literature, this paper aims to understand what affects organizational BIM readiness and how the BIM readiness process occurs.

The present paper adopts design science research as a methodological approach. A literature review examined 69 journal articles. The analysis focused on multiple theories, such as organizational readiness for change, adoption and diffusion of innovations and project management.

By investigating BIM organizational readiness, this study presents a construct and a conceptual model for driving BIM readiness.

This study can benefit researchers and organizations. The results presented may drive further research and discussions on the topic. But it is important to state that these results must be tested on real situations.

The objective of this article is to discuss how the research on innovation in the small businesses may be operationalized. This paper discusses the field's concepts, typologies, units of analysis and the general basic assumptions pertaining to the operationalization of innovation research in small businesses.

The article is an essay, whose format aims to provide the reader with reflections and multiple questions, by instigating the free thinking, the research as well as the construction of different ideas and/or perceptions in a logical and scientific way (Meneghetti, 2011). Thus, a conceptual approach for the operationalization of the innovation research in small businesses is proposed and discussed.

Most of the innovation literature has ignored the small businesses, so that its core concepts and basic assumptions should be reviewed in an inclusive approach. The authors developed an analytical proposal that consists of a four-step logical approach to researching innovation in small businesses, starting from the innovation's concept as something important and then evolving to discussing how one has to try and see the small business as an object of study.

The value of this paper lies with the attempt to critically bring the small businesses into the spotlight, as study them has practical and theoretical implications that go beyond the field of innovation itself.

There is a great reliance on fiscal incentives to sustain the automotive industry competitiveness due to several structural problems, among them the inefficiency of the supply chain. This paper aims to compare the supply chain structure of traditional automotive industry with the supply chains from South Korea and China. Based on strategic decision and transaction cost theory, this comparison seeks to exploit the factors that led to the inefficiency of automotive supply chains.

The authors used a qualitative approach and applied a multi-method research. They conducted semi-structured interviews with six executives from automakers representing the selected countries, carried individual meetings during one workshop and used secondary data from several sources.

Concepts identified in the research such as reliability, supply chain governance and automaker competencies led the authors to propose that the traditional automakers have higher transaction costs when compared to the new automakers due to the horizontal structure of their supply chain. While new competitors have vertical upstream supply chains, which indicates better profitability, traditional automotive industry is horizontal, depends on fewer Tier 1 suppliers and is disconnected from Tier 2, impacting negatively in the transaction costs and supply chain management.

This study suggests that automotive executives rethink the current upstream supply chain model by identifying the competencies required for their current and future competitiveness and implementing a vertical integration of these competencies.

This research exploited the inefficiency of supply chain as one of the explanations for the low competitiveness of the national automotive industry.