IE University

About: IE University is a education organization based out in Segovia, Castilla y León, Spain. It is known for research contribution in the topics: Corporate governance & Context (language use). The organization has 527 authors who have published 1709 publications receiving 64682 citations.

Product-market competition and resource redeployment in multi-business firms

Abstract: Research summary This article investigates how diversified firms reallocate internal non‐scale free resources when one of their product business units (BUs) experiences increased exposure to international competition driven by a sharp decrease in trade tariffs. On average, firms tend to fight, by reallocating resources toward the BU affected by the trade shock and away from other BUs within the same firm. Two variables moderate this first‐order effect with opposite signs. The level of sunk costs of the assets allocated to the BU affected by the shock is a positive moderator of resource reallocation to it. The presence of technological synergies between the BU affected and the rest of BUs instead moderates the relationship negatively. This negative moderation seems to only take place when competition increases the value of technology as a competitive resource. Managerial summary An important question in the strategic decision‐making process of diversified firms is how to react to competitive threats that affect one business unit but not the others. Should managers allocate more resources to the affected business or should they instead reduce their commitment and use the same resources in the remaining operating sectors? In this article, we examine firms’ reallocation decisions following increases in foreign competition due to import tariff cuts. Our results show that firms tend to allocate more resources to the business affected by the tariff cut and less to the businesses unaffected. Furthermore, we find evidence that this behavior is positively associated with performance.

A bibliometric analysis of plagiarism and self-plagiarism through Déjà vu

Abstract: Plagiarism is one of the most important current debates among scientific stakeholders. A separate but related issue is the use of authors' own ideas in different papers (i.e., self-plagiarism). Opinions on this issue are mixed, and there is a lack of consensus. Our goal was to gain deeper insight into plagiarism and self-plagiarism through a citation analysis of documents involved in these situations. The Deja vu database, which comprises around 80,000 duplicate records, was used to select 247 pairs of documents that had been examined by curators on a full text basis following a stringent protocol. We then used the Scopus database to perform a citation analysis of the selected documents. For each document pair, we used specific bibliometric indicators, such as the number of authors, full text similarity, journal impact factor, the Eigenfactor, and article influence. Our results confirm that cases of plagiarism are published in journals with lower visibility and thus tend to receive fewer citations. Moreover, full text similarity was significantly higher in cases of plagiarism than in cases of self-plagiarism. Among pairs of documents with shared authors, duplicates not citing the original document showed higher full text similarity than those citing the original document, and also showed greater overlap in the references cited in the two documents.

Individuals’ Considerations When Responding to Competing Logics: Insights From Identity Control Theory

Abstract: The question how individuals experience and respond to competing logics has recently received intensified attention, but current theories remain incoherent, and research is restricted to situations...

Analysing spatial and temporal variation in colony size: an approach using autoregressive mixed models and information theory

Abstract: The spatial and temporal variation in population sizes of animal colonies are rarely studied simultaneously. I examined factors determining colony size (number of nests) for 23 colonies from the only breeding population of rook Corvus frugilegus in Spain over 7 years. Population sizes within colonies were highly predictable over time, with autocorrelations up to a distance (lag) of 6 years. Autoregressive mixed models were used to explain colony size as a function of environmental factors, while controlling for temporal autocorrelation. These factors included refuse tips, widely used as food resource, and a derived variable that incorporated the two factors most often related to avian colony size (inter-colony competition and foraging habitat around colonies). Autoregressive models provided a better fit to the data than models which did not consider temporal autocorrelation. The information-theoretic (AICc-based) approach revealed uncertainty in the selection of the best model explaining colony-size, but relatively strong support for certain variables. The highest weights of evidence were for year (ω i = 0.90) and the number of competitors per unit of foraging habitat (i.e., derived variable; ω i = 0.63), showing that the size of rook colonies in Spain was negatively affected by inter-colony competition relative to the foraging habitat surrounding the colonies. This variable measured within a 6-km radius from the colonies had ~30 times higher weight of evidence (more plausible) than the same variable measured within 3 km, indicating that food limitation may occur outside the breeding period. Sizes of colonies tended to decrease when distance between the colony and the nearest refuse tip increased. There was some evidence supporting the idea that the effect of the number of competitors per unit of foraging habitat on colony size varied from year to year, but statistical power was weak. These findings suggest that variation in number of rook nests within colonies reflects spatial and temporal heterogeneity of net food via both inter-colony competition and foraging habitat around the colony.