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This article aims to evaluate the entry and exit of companies from local productive structures, with a specific focus on the sectoral complexity of these activities and the complexity of these portfolios. The study focuses on empirically demonstrating the thesis that related economic diversification exacerbates the development gap between more and less complex regions.

The article uses indicators formulated by the economic complexity approach. They allow a relevant descriptive analysis of the economic diversification process in Brazilian micro-regions and provide the foundation for the econometric tests conducted. Through three distinct estimation strategies (OLS, logit, probit), the influence of complexity and relatedness on the entry and exit events of firms from local portfolios is tested.

In all estimated models, the stronger relationship between an activity and a portfolio significantly increases its probability of entering the productive structure and, at the same time, acts as a significant factor in preventing its exit. Furthermore, the results reveal that the complexity of a sector reduces the probability of its specialization in less complex regions while increasing it in more complex regions. On the other hand, sectoral complexity significantly increases the probability of a sector leaving less complex local structures but has no significant effect in highly complex regions.

Due to the data used, the indicators are calculated considering only formal job numbers. Additionally, the tests do not detect the influence of spatial issues. These limitations should be addressed by future research.

The article characterizes a prevailing process of uneven development among Brazilian regions and brings relevant implications, primarily for policymakers. Specifically, for less complex regions, policies should focus on creating opportunities to improve their diversification capabilities in complex sectors that are not too distant from their portfolios.

The article makes an original contribution by proposing an evaluation of regional diversification in Brazil with a focus on complexity, introducing a more detailed differentiation of regions based on their complexity levels and examining the impact of sectoral complexity on diversification patterns within each group.

The primary purpose of this exploratory paper is to propose a novel analytical framework for examining corruption from a behavioral perspective by highlighting multiple issues associated with quantification culture.

This paper is part of the author’s exploratory study into the complex corruption phenomenon in Indonesia from a variety of viewpoints to obtain a better understanding of its nature and dynamics. By building on previous literature on quantification culture, audit culture and the corruption phenomenon, this paper explores the different issues related to overreliance on numbers and how they may have led to increased corruption, particularly in Indonesia. Using the Fraud Decision Scale framework, this paper also demonstrates how the quantification culture affects the cost-benefit analysis of corruption offenders. To develop the best anticorruption strategy and lay the groundwork for future anticorruption studies, this paper presents a fresh perspective on how to analyze and evaluate the corruption issue.

The author established that despite the benefits that quantification practices – such as indicators, scores, ratings and rankings – bring to societies and organizations, there is evidence that these practices can have unfavorable effects when used excessively or incorrectly. One of the adverse effects of quantification practices is over-quantification, which manifests as various inappropriate behaviors, including an excessive desire to acquire riches and material belongings. Additionally, the worship of ranks and status derived from quantitative evaluation processes has led many people to prioritize short-term objectives above long-term improvements. Eventually, these will cause organizations to lose productivity and make them susceptible to fraud and corruption. Future studies are needed to determine the most effective approach for mitigating over-quantification issues. In this exploratory paper, the author proposes balancing quantitative practices with qualitative knowledge to gradually alter people’s behavior by broadening their perspectives in perceiving various phenomena in the world, not only by describing and explaining them but also by comprehending their underlying meanings.

This exploratory study is self-funded and relies primarily on documentary analysis to explore the corruption phenomenon in Indonesia. Future studies will benefit from in-depth interviews with former corruption offenders and investigators.

This exploratory paper contributes to the development of a sound corruption prevention approach by presenting a novel analytical framework for examining various behavioral problems linked with quantification culture that may lead to the escalation of corruption.

This study emphasizes the significance of understanding the structure and dynamics of quantification culture and their negative behavioral impacts on people to comprehend the corruption phenomenon better.

Numerous attempts at installing six sigma (SS) have faced challenges and fallen short of the desired success. Thus, it becomes vital to identify the critical factors and characteristics that play a pivotal role in achieving successful adoption. In this study the research has aimed to highlight that a considerable number of corporate SS initiatives, around 60%, fail primarily due to the improper incorporation of essential elements and flawed assumptions.

To validate the influence of critical success factors (CSFs) on SS accomplishment, the study employed a research design combining exploratory and mixed-methods approaches. A Likert-scale questionnaire was utilized, and a simple random sampling method was employed to gather data. Out of the 2,325 potential participants approached, 573 responses were received, primarily from Germany, the United Kingdom and Sweden. The analysis focused on 260 completed questionnaires and statistical methods including structural equation modeling (SEM), exploratory factor analysis (EFA) and Confirmatory Factor Analysis (CFA) were utilized for data analysis.

The study acknowledged four essential components of CSFs that are imperative for sustaining the success of SS: (1) Competence of belt System employees; (2) Project management skills; (3) Organizational economic capability and (4) Leadership commitment and engagement. These factors were identified as significant contributors to the maintenance of SS’s success.

The practical implications of this research imply that institutions, practitioners, and researchers can utilize the four identified factors to foster the sustainable deployment of SS initiatives. By incorporating these factors, organizations can enhance the effectiveness and longevity of their SS practices.

The investigation's originality lies in its contribution to assessing CSFs in SS deployment within the European automobile industry, utilizing a mixed-methods research design supplemented by descriptive statistics.

The purpose of this paper is twofold: (1) to map and analyze existing complexity typologies and (2) to develop a framework for characterizing complexity-based approaches.

This study was conducted in three stages: (1) initial identification of typologies related to complexity following a structured procedure based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol; (2) backward and forward review to identify additional relevant typologies and (3) content analysis of the selected typologies, categorization and framework development.

Based on 17 selected typologies, a comprehensive overview of complexity studies is provided. Each typology is described considering key concepts, contributions and convergences and differences between them. The epistemological, theoretical and methodological diversity of complexity studies was explored, allowing the identification of the main schools of thought and authors. A framework for characterizing complexity-based approaches was proposed including the following perspectives: ontology of complexity, epistemology of complexity, purpose and object of interest, methodology and methods and theoretical pillars.

This study examines the main typologies of complexity from an integrated and multidisciplinary perspective and, based on that, proposes a novel framework to understanding and characterizing complexity-based approaches.