The generalized bin packing problem

In the Generalized Bin Packing Problem (GBPP), given two sets of compulsory and non-compulsory items characterized by volume and profit and a set of bins with given volume and cost, we want to select the subset of profitable non-compulsory items to be loaded together with the compulsory ones into the appropriate bins in order to minimize the total net cost. Lower and upper bounds to the GBPP are given. The results of extensive computational experiments show that the proposed procedures are efficient and the bounds are tight.     

Analysis of Domestic Factors Affecting Outward Foreign Direct Investment in Brazil

Developing markets have increasingly gained prominence in the world economy, but the domestic factors behind this success are not well established. This uncertainty may interfere with multinational expansion plans. In this article, we examine several macroeconomic and institutional factors affecting Brazilian outward foreign direct investment in 17 destination countries. We applied a pooled ordinary least squares regression over the 2001–2014 period. The findings suggest that macroeconomic factors are still statistically significant to explain investment abroad, but several institutional factors such as corruption have emerged, having a negative effect and political violence having a positive effect on Brazilian outward foreign direct investment.     

Antecedents of Purchase Intention in the Online Context

The understanding of the determinant factors of customer purchase intention is necessary, and it is equally important to study the online purchase context, since this context is disseminated among customers. A theoretical model has been elaborated on and tested, considering the constructs of information quality, distrust, and perceived risk as antecedents of purchase intention, and aiming to analyze the relationship among these constructs in the online purchase context. A quantitative research study has been performed by means of the application of a survey. Multivariate statistics techniques have been applied for data analyses, including structural equation modeling. This study contributes to the evolution of the empirically tested concepts by providing a greater individual understanding of each construct presented in the theoretical model, as well as the relationship among them as determinants of purchase intention; the indication is that meaningful relationships were found which may impact greater profitability and, consequently, greater competition for online retailers.     

Linking Exploration with Exploitation through Relationship Memory*

Companies that are able to help clients make better decisions and enhance their business capabilities to flourish. However, there is often poor rapport between operating personnel who are in touch with end customers and executive personnel who make decisions. Through exploration and exploitation processes, new ideas and actions flow from the individual (i.e., operating personnel) to the organization (i.e., the rest of individuals and groups that form part of the organization). This paper examines the relative importance and significance of “the relationship memory” as a bridge between “exploration” and “exploitation” processes and its effects on the creation of “customer capital” through an empirical investigation of 139 small to medium‐sized enterprises in the Spanish optometry sector using structural equation modeling validated by factor analysis.     

The Innovation Process and the Development of a Sustainability Strategy

ABSTRACT

This article analyzes what influences a firm's choice of strategy—why some firms stick to defensive strategies while others rely on offensive ones. With this in mind a survey was conducted on mineral sector companies associated with the Brazilian Mining Institute. The results show that the majority of companies use an offensive strategy and that some companies use more than one strategy at the same time. That is, they possess a corporate strategy and a sustainability strategy.     

Mergers and Acquisitions and Market Volatility of Brazilian Banking Stocks: An Application of GARCH Models

The main objective of this research was to investigate the impacts caused by announcements of mergers and acquisitions (M&As) on the volatility of the returns of Brazilian bank stocks from 1994 to 2015. In order to achieve the proposed objective, this study applied Generalized Autoregressive Conditional Heteroscedastic (GARCH) class models to the series to model their volatility. Our results confirmed the impact of the announcement of M&As on volatility. They suggest that M&A announcements are expected to cause a negative reaction if related to an expansion or a deal involving a less-well known bank, and a positive reaction if it involves well-known bank with good reputation—a higher level of confidence and a lower level of information asymmetry for investors.     

Discerning competitive strategy through an assessment of competitive methods

This cross-sectional study of Portuguese service organizations seeks to determine the level of alignment of competitive methods with strategy typologies covered in the business literature. Surveyed firms were asked to indicate their level of utilization of several competitive methods. The results of factor analysis of the survey data indicate that 30 of the 33 competitive methods covered in this study represent seven underlying strategy dimensions. Further analysis revealed that there is some congruence between the derived strategy dimensions and established strategy typologies in the literature. Cluster analysis revealed that each of the responding firms could be classified into one of four hybrid or mixed strategy orientations. However, differences in strategy orientation were not statistically significant in explaining differences in the financial performance of these organizations. These findings are discussed in the light of their implications for strategy development, strategy choices and performance evaluation in the Portuguese service sector.     

Many a little makes a mickle: Why do consumers negatively react to sequential price disclosure?

Drip pricing (DP) is distinct from partitioned pricing as it sequentially discloses surcharges to consumers. Critics see DP as a deceptive pricing tactic because it obscures the final price of an offer. We examine the effects of the timing of the final price disclosure and the number of sequentially presented surcharges on consumers' attention to the final price and, ultimately, perceived price fairness. In an eye‐tracking study with 225 participants, we find that the sequential (vs. up‐front) disclosure of the final price lowers perceived price fairness by increasing consumers' attention to the final price, in particular, when the number of surcharges is high. In addition, the sequential disclosure of the final price lowers perceived price fairness because of higher perceived price complexity and lower pricing transparency perceptions. The findings suggest that firms need to be aware of both attentional and cognitive effects of the final price disclosure when designing DP.