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To develop and propose a framework, termed here as the value package prism, for assessing the kinds of management processes and flexibility available in providing a range of value packages (services and goods offering mix).

The literature is examined and a set of highly‐visible Latin‐American examples are presented to support the development of the proposed framework.

Provides an additional perspective to the traditional set of characteristics (intangibility, inseparability, heterogeneity, and perishability) for differentiating services and goods. The proposed framework (stockability, intensity of interaction, simultaneousness of consumption, and ease of performance assessment) and the value prism may be useful to operations managers in developing, planning, organizing, or controlling the production and delivery of services or goods.

Offers a new framework and an applied way to improve operations management by moving away from the extremes of pure services and pure goods to embrace how businesses compete and operate today, by delivering value packages. Provides an approach that facilitates operations managers' understanding and ability to manage substantial changes in the value packages offered to customers.

This study investigates how the degree of internationalization (DOI) affects the financial performance of emerging market companies by making the distinction between export intensity and multinationality (i.e. foreign direct investment). The authors argue that the different DOI-performance patterns in the literature relate to different internationalization approaches, which are moderated in distinct ways by formal institutions in the home country.

Based on data of Brazilian firms in several industries and with different internationalization patterns including 100 exporting firms and 30 multinational companies with varying degrees of multinationality over a period of five consecutive years, the authors test their hypotheses using an unbalanced panel data with 346 firm-year observations. In order to test how the quality of formal institutions moderate the DOI-performance relationships, the authors estimate the changes in the slope of the regression line by adding and subtracting one standard deviation to the Worldwide Governance Indicators (WGI) variables.

A positive and linear association between export intensity-performance (EI-P) highlights the location specific comparative advantages of exporting Brazilian firms, while the multinationality-performance (M-P) relationship points to a horizontal S-shape pattern which conforms to the theoretical assumptions of the three-stage internationalization process. Formal institutions moderate positively the EI-P relationship, but moderate negatively each of the three stages of the M-P relationship.

The findings from this study provide critical insights that contribute to the ongoing debate on how formal institutions in the home country affect the DOI-performance relationship of emerging market companies (EMCs). However, the authors consider that it has limitations as they focused exclusively on formal institutions captured by governance institutions in the Brazilian context.

This study provides relevant insights to managers and policy makers. Findings reveal that strong formal institutions in the home country make it easier (cheaper) for EMCs to invest abroad, and, at the same time, increase the efficiency of exporting firms and positively influence financial performance. Moreover, results show that during downturns in their domestic markets, multinational EMCs outperform domestic firms. In that sense, while policy makers can promote the internationalization and competitiveness of EMCs by implementing more supportive formal institutions, managers should consider a proactive approach and invest abroad when conditions in the home country are favorable.

By making the distinction between export intensity and multinationality this study contributes to the literature on the DOI-performance of EMCs providing a more nuanced view on how formal institutions in the home country moderate the EI-P and M-P relationships in different ways.

This study aims to analyze the performance of four different fuzzy inference system-based forecasting tools using a real case company.

The forecasting tools were tested using 27 products of the nail polish line of a multinational beauty company and the performance of said tools was compared to those of the company’s previous forecasting methods that were basically qualitative (informal and intuition-based).

The performance of the methods analyzed was compared by using mean absolute percentage error. It was possible to determine the characteristics and conditions that make each model the best for each situation. The main takeaways were that low kurtosis, negatively skewed demand time-series and longer horizon forecasts that favor the fuzzy inference system-based models. Besides, the results suggest that the fuzzy forecasting tools should be preferred for longer horizon forecasts over informal qualitative methods.

Notwithstanding the proposed hybrid modeling approach based on fuzzy inference systems, our research offers a relevant contribution to theory and practice by shedding light on the segmentation and selection of forecasting models, both in terms of time-series characteristics and forecasting horizon. The proposed fuzzy inference systems showed to be particularly useful not only when time-series distributions present no clear central tendency (that is, they are platykurtic or dispersed around a large plateau around the median, which is the characteristic of negative kurtosis), but also when mode values are greater than median values, which in turn are greater than mean values. This large tail to the left (negative skewness) is typical of successful products whose sales are ramping up in early stages of their life cycle. For these, fuzzy inference systems may help managers screen out forecast bias and, therefore, lower forecast errors. This behavior also occurs when managers deal with forecasts of longer horizons. The results suggest that further research on fuzzy inference systems hybrid approaches for forecasting should emphasize short-term forecasting by trying to better capture the “tribal” managerial knowledge instead of focusing on less dispersed and slower moving products, where the purely qualitative forecasting methods used by managers tend to perform better in terms of their accuracy.

This paper aims to measure and unveil the relationship between customer satisfaction and efficiency levels in the most relevant Brazilian airports.

The authors utilize a two-stage network DEA (data envelopment analysis) and AHP (analytic hierarchy process) model as the cornerstones of the study. The first stage of the network productive structure focuses on examining the infrastructure efficiency of the selected airports, while the second stage assesses their business efficiency.

Although the results indicate that infrastructure and business efficiency levels are heterogeneous and widely dispersed across airports, controlling the regression results with different contextual variables suggests that the impact of efficiency levels on customer satisfaction is mediated by a set of socio-economic and demographic (endogenous) and regulatory (exogenous) variables. Furthermore, encouraging investment in airports is necessary to achieve higher infrastructural efficiency and scale efficiency, thereby improving customer satisfaction.

There is a scarcity of studies examining the relationships among customer satisfaction, privatization and airport efficiency, particularly in developing countries like Brazil.

This paper investigates the effect of the fit between supply and demand uncertainty (SDU) and supply chain responsiveness (SCR) (SC fit) on business and innovation performance in Brazilian companies.

The study presented an analysis carried out on an empirical study based on a sample of 150 manufacturing companies. Business and innovation performance of companies with different types of SC fit ( high–high and low–low fits) and misfit (positive and negative) are compared and discussed.

The results indicated that SC fit had a positive effect on both business and innovation performance. Further analyses suggested that companies with SC fit present similar business performance, independent of the level of SDU that characterizes the environment where they compete, while companies in environments with higher levels of uncertainty tend to present superior innovation performance. Companies with positive and negative misfit present similar performance.

An analysis of the literature showed that there is no consensus when it comes to the definitions and measurements of SC fit. The paper investigates the effects of SC fit on business and innovation performance, while previous empirical studies have mainly addressed its impact on financial performance. Moreover, this study compares the effects of two types of fit and two types of misfit and assesses SC fit in Brazilian manufacturing companies, analyzing the context of an under-researched reality.

The purpose of this paper is to assess the efficiency determinants of mergers and acquisitions (M&A) in the context of Latin American airlines based on business-related variables commonly found in the literature. The idea is to identify preferable potential airline matches in light of fleet mix, ownership structure and geographical proximity.

In order to achieve the objective, all possible combinations of M&A pairs are considered in the analysis, which is developed in a two-stage approach. First, the M&A Data Envelopment Analysis model efficiency and returns-to-scale estimates are computed. Then, robust regression and multinomial logistic regression are respectively used to discriminate these estimates in terms of such business-related variables.

The results reveal that these different contextual variables significantly impact virtual efficiency and returns-to-scale levels. Private ownership, passenger focus and a better match between aircraft size and demand for flights appear to be key drivers for merged airline efficiency.

The study makes theoretical contributions, though limited to analyzing Latin American airlines only. The use of bootstrapped robust/multinominal logistic regression, compared to the methods adopted by previous literature studies, generates more accurate and robust results related to the efficiency drivers due to its special feature and ability to allow the discrimination of increasing, decreasing, and constant returns to scale in light of a given set of contextual variables.

This study examines the pure effect of the merging activity on efficiency gains. Not only private ownership but also a hybrid public–private ownership has a positive influence on virtual efficiency, suggesting an important governmental role in promoting M&A in the airline industry.

The authors present an original take on the issue of airline mergers by exploring what are the major drivers possibly involved in efficiency gains of potentially merged (virtual) airlines. The authors identify preferable potential airline matches where efficiency gains would be positive in light of business-related variables such as fleet mix, ownership structure and geographical proximity. The analysis also includes an assessment of the impact of contextual variables such as cargo type, ownership structure and geographical proximity in relation to the strategic fit of mergers considering the resulting efficiency and returns-to-scale scores of virtually merged airlines. To the authors’ knowledge, no previous research has addressed these issues in Latin American airlines. Further research directions for this industry are also discussed.

This paper aims to develop a cross-border regional brand management model to help enhance cooperation for developing such localities. It analyzed its applicability in the Brazil–Argentina and Italy–Austria cross-border regions comprising several cities.

A systematic literature review was conducted to obtain a theoretical basis and select elements for creating the cross-border regional brand management (CRBM) model. To apply the model, in-depth interviews were conducted with 19 specialists of different nationalities and distinct expertise on cross-border governance and regional branding. In addition, to validate the proposed model, a focus group was carried out, and specialists were consulted using forms, providing 22 additional opinions.

The results show good managerial practices and gaps that must be overcome to create and manage the brands from the two regions analyzed.

The theoretical contributions consist in extending the literature in place branding by presenting the first CRBM model and the conceptual explanation of each of the model's elements.

The study's practical implications occur through the suggestion of good management practices for the studied localities arising from the applicability of the CRBM model. Furthermore, it is expected that the model developed can be applied in other locations, bringing practical contributions to the management and creation of cross-border regional brands in other countries.

This study presents the first CRBM model and its applicability to two cross-border regions.

Examines two differing manufacturing operations and characterizes their manufacturing planning and control (MPC) systems. The primary concern of this categorization analysis is to examine the similarities and differences between the flexibilities inherent in each operation′s MPC system. One company has a system which is primarily a push‐based system, the other largely a pull‐based system. Examines different categories of flexibility in terms of both range flexibility (how far the system can cope with the change) and response flexibility (how fast the system can cope with change). The major conclusion is that pull‐based systems have flexibility characteristics which are characterized by relatively clearly thought‐out discontinuities in their range response curves.

The objective of the paper is to report research carried out over two years aiming at developing a framework to support the management of manufacturing organizations for whom reducing throughput time is strategically important, either because they compete based on short lead times or because they choose to pursue other objectives such as cost reduction by means of reducing their manufacturing cycle times. A step‐by‐step method is proposed based on the analyses of a number of Brazilian “best practice” cases (all manufacturing companies and all part of large multi‐national corporations) and on the relevant literature.