Dynamic managerial capabilities: Scale development and validation

Studies on dynamic managerial capabilities still have a rather theoretical nature, and there is great difficulty in finding a valid, reliable instrument to measure this construct. The present study contributes to solving this problem: It aims to develop and validate a scale to measure dynamic managerial capabilities. In this investigation, we develop a scale for three factors related to dynamic managerial capabilities: human capital, managerial cognition (already described in the literature), and relationship networks. The prominent finding in this research is the factor that is referred to here as relationship networks.     

The Limitations of International Relations Regarding MNCs and the Digital Economy: Evidence from Brazil

ABSTRACT

Multinationals (MNCs) have been considered a relevant research topic for International Relations since the emergence of the field of International Political Economy in the 1970s. Nowadays, MNCs are undergoing deep changes in their business models and global strategies due to the digital economy. This has considerable implications for the international system. For instance, the rise of information and communication technology (ICT) MNCs to the top of market value lists globally. Nonetheless, IR scholars have been slow in grasping the importance of ICT MNCs and the digital economy. In this paper, I justify this statement by evaluating the inclusion of MNCs and ICT MNCs in Brazilian IR scholarship. The method used is a bibliometric mapping of the scientific production of Brazilian IR scholars, supported by a systematic literature review. The results showcase that, in spite of the impact of digitalization on Brazil's economy and politics, IR scholars have conducted few studies on MNCs and practically no studies on ICT MNCs. This case illustrates the emergence of new dynamics in global value chains triggered by digitalization. It also illustrates the challenges for developing countries such as Brazil to engage in global production networks within the highly competitive ICT sector.     

Towards Normative Theories of Social Entrepreneurship. A Review of the Top Publications of the Field

Journal of Business Ethics - In this article, we apply deductive content analysis to the 100 most influential publications in the field of social entrepreneurship (SE) to identify...     

The not-so-generalised effects of the Generalized System of Preferences

We use an empirical gravity equation to study how non-reciprocal trade preferences (NRTPs), enacted mainly through the Generalized System of Preferences, affect the exports of the beneficiary nations. In line with existing studies, the average trade effect stemming from non-reciprocal preferences is highly unstable across specifications. However, once we allow for heterogeneous effects, results become robust and economically important. Specifically, NRTPs have a strong effect on the exports of beneficiaries when they are members of the World Trade Organization and are very poor. Not-so-poor beneficiaries also expand foreign sales, but only if they are not WTO members. For all others, the average export effects of NRTPs are mute.     

Influence of Social Media over the Stock Market

This research analyzes investors’ activity through social media and these media's influence over the Chicago Board Options Exchange Market Volatility Index (VIX) using a logit model and a fuzzy‐set qualitative comparative analysis (fsQCA). The logit results show that social media sentiment influences stock markets. Meanwhile, the fsQCA results show that the investors’ profile is important for explaining how social media influence the stock market. Particularly, holding period combined with experience in technical investors contributes to avoiding a raise in market risk, whereas for nontechnical investors message sentiment and experience form the combination that contributes to avoid a raise in market risk.     

The legal theory of finance and the financial instability hypothesis: Convergences and possible integration

This article presents the legal theory of finance (LTF) and compares it with the financial instability hypothesis (FIH), identifying points of convergence and divergence. The study aims to contribute to the literature by connecting these theories and provides the following main conclusions. First, the LTF incorporates aspects of the FIH, as the theories share several key elements, particularly the presence of fundamental uncertainty, the constraint of liquidity, and the necessity for governments to act as lenders of last resort. Second, the liquidity concept used in the LTF can be better comprehended with the use of Keynesian and post Keynesian literature on the topic. Third, the LTF aims to advance and update certain aspects of Minsky’s theory, particularly with regard to the globalization of markets, power relations, and the interdependencies of the political economy of finance. The study concludes that the theories are more complementary than divergent and future studies should create an analytical framework that integrates the theories’ most insightful aspects.     

The Impact of Frictions in Routine Execution on Economies of Scope

Research summary: Based on a detailed database of a beverages producer‐distributor that expanded its product variety by leveraging its logistic network, we show that product diversification generates economies of scope and also higher operational costs. The result is an inverted‐U relationship between variety and productivity: When the firm offers few additional categories, productivity grows, but as the number of categories rises, the costs of executing the operational routines increase rapidly and productivity falls. The negative effect on productivity increases if the added product category is more dissimilar to previous ones, and decreases with learning from operational experience. Our results highlight how frictions at the operational level can limit the benefits of diversification, even in the absence of other sources of diseconomies, such as increased coordination needs. Managerial summary: One of the prevalent reasons for companies to expand to adjacent product lines is attaining economies of scope. However, such growth strategy also generates operational frictions, even if the day‐to‐day routines do not appear to change at all. Product diversity is disruptive for routine execution, as it requires coordination and exception handling, and may ultimately overcome any efficiency obtained from growth. We estimate the relevance of such operational friction using data from a beverages distribution network. When product variety is low, additional categories do generate efficiency, but after reaching a given threshold, friction prevails. We find that operational friction increases when products are more dissimilar, but is attenuated when workers learn from their own and other's experience. Copyright © 2017 John Wiley & Sons, Ltd.     

Pricing a rural development program: uncertainty,indifference, and protest behaviors

This article presents an econometric approach to modeling uncertainty, unwillingness to pay, and protest behavior in contingent valuation studies. For that purpose, a mixture model with sample selection is developed for a multiple‐bounded uncertainty elicitation format. The proposed theoretical framework is applied to evaluate the social welfare impact of implementing a sustainable rural development program. Results show that a “naive” analytical approach that excludes protesters from the analysis would result in significantly higher willingness to pay estimates for those individuals who favor the implementation of the program and agree to reveal their true reservation prices.     

Technology roadmapping (TRM) and strategic alignment for an applied research centre: a case study with methodological contributions

Technology roadmapping provides a strategic tool to help companies develop an outside‐in view and challenge their current competitive perspectives. In this paper, the authors describe the roadmapping process, which is aligned, with the research and development (R&D) strategy of an applied research centre. This process is based in an adapted combination of state‐of‐the‐art methodologies, and as a result, the case study shows interesting findings in terms of R&D strategy, technology strategy and roadmapping processes and methodology.     

On dichotomous choice contingent valuation data analysis: Semiparametric methods and Genetic Programming

The aim of this paper is twofold. Firstly, we introduce a novel semiparametric technique called Genetic Programming to estimate and explain the willingness to pay to maintain environmental conditions of a specific natural park in Spain. To the authors’ knowledge, this is the first time in which Genetic Programming is employed in contingent valuation. Secondly, we investigate the existence of bias due to the functional rigidity of the traditional parametric techniques commonly employed in a contingent valuation problem. We applied standard parametric methods (logit and probit) and compared with results obtained using semiparametric methods (a proportional hazard model and a genetic program). The parametric and semiparametric methods give similar results in terms of the variables finally chosen in the model. Therefore, the results confirm the internal validity of our contingent valuation exercise.