The rise of the programmable web offers new opportunities for the empirically driven sciences. The access to, compilation and preparation of data from the programmable web for statistical analysis can, however, involve substantial up-front costs for the practical researcher. The R-package RWebData provides a high-level framework that allows data to be easily collected from the programmable web in a format that can be used directly for statistical analysis in R without bothering about the data’s initial format and nesting structure. It was developed specifically for users who have no experience with web technologies and merely use R as statistics software. This paper provides an overview of the high-level functions, explains the basic architecture of the package, illustrates the implemented data mapping algorithm, and discusses RWebData’s further development and reuse potential.
In this paper, we provide an introduction to the Special Issue entitled ‘Divide and Rule? The Emergence and Implications of Increasingly Disaggregated and Dispersed Headquarters Activities in Contemporary Firms’. The purpose is two-fold. First, we propose a conceptualization of headquarters activities as a dynamic system in which activities can be distributed organizationally and spatially. We explicitly break with the dominant view of the prior research on ‘the headquarters’ as a single, identifiable unit in one specific location. Second, building on the manuscripts accepted for publication in this Special Issue, we outline research implications and put forward an agenda for research on the emergence and continuous management of disaggregated and dispersed headquarters systems.
Firms have different ways of addressing issues emerging from outside their regular calendar-driven strategy processes. These practices tend to be unstructured, organization specific, and highly dependent on the characteristics of the strategic issues themselves. Building on three dimensions of cognitive load—intrinsic, germane, and extraneous cognitive load—we extend existing research on strategic issue management by showing how different team-level choices in strategic issue processing and organizational congestion interact in their effects on a firm's strategic issue management performance. Based on an in-depth analysis of all 92 strategic issue decisions in a large multinational firm during a three-year period, we find that organizational disturbances influence strategic issue initiation by top management, which in turn influences the quality of strategic issue management practices and subsequent performance outcomes. We conclude by providing recommendations for managers on how they can decrease the sensitivity of their companies' strategic issue systems to external disturbances.
We study the changing explanations of success and failure over the course of a firm’s history, building on a discursive approach that highlights the role of narrative attributions in making sense of corporate performance. Specifically, we analyze how the Nokia Corporation was framed first as a success and later as a failure and how these dimensions of performance were explained in various actors’ narrative accounts. In both the success and failure accounts, our analysis revealed a striking black-and-white picture that resulted in the institutionalization of Nokia’s metanarratives of success and failure. Our findings also reveal a number of discursive attributional tendencies, and thus, warn of the cognitive and politically motivated biases that are likely to characterize management literature.
We provide a comparative analysis of acquirer returns in acquisitions of public firms, private firms, and divested assets. On the basis of a sample of 5,079 acquisitions by U.S. software industry companies during 1988–2008, we find that acquisitions of divested assets outperform acquisitions of privately held firms, which in turn outperform acquisitions of publicly held firms. While the higher returns for acquisitions of divested assets relative to stand-alone acquisition targets can be explained by market efficiency arguments, seller distress and improved asset fit further enhance the positive returns of acquirers of divested assets consistent with the relative bargaining power explanation. Finally, we find that the effects of these buyer bargaining advantages are mutually strengthening and that they also hold for longer-term acquirer Performance.
While there is an extensive body of work on how organizational routines emerge and evolve over time, there is a scarcity of research on what happens when routines are disrupted or disbanded through the elimination of key individuals involved in them. This study is the first to theorize and empirically examine the relationship between the magnitude of workforce downsizing and firm performance applying an organizational routine perspective. Consistent with prior research on organizational routines, we posit that small-scale downsizing leads to efficiency improvements without disrupting the existing routines. While larger routine disruptions occur in both medium- and large-scale downsizing, we further argue and find that large-scale downsizing tends to be more beneficial than medium-scale downsizing. Building on prior research on routines, we reason that in medium-scale downsizing employees try to salvage the impaired, partially functioning routines, while large-scale downsizing requires a more fundamental rethinking and re-creation of routines leading to more positive outcomes. Our study contributes to downsizing research through the application of the organizational routine perspective to explain the financial outcomes of downsizing. In doing so, we depart from the widely held assumption in the downsizing literature that the relationship between the magnitude of downsizing and firm performance is linear. Our study also extends prior research on organizational routines by highlighting the usefulness of conceiving routines as mindful accomplishments where the pressure to engage in path-breaking cognitive effort may lead to better results than path-dependent repairing of routines.
This article contributes to an improved understanding of the effects of subnational regional corruption on the external growth strategies of emerging economy firms. We examine the acquisition activity of firms in their home regions, in other parts of the country, and internationally. We consider four mechanisms through which a corrupt regional home context can affect firms’ acquisition behaviors: (a) corrosive deal deterrence, (b) deal facilitation, (c) corruption escape into less corrupt contexts, and (d) enhanced corruption ability to acquire in similarly corrupt environments. Based on an analysis of the acquisition activity of 2,981 Russian firms established in 40 regions in Russia from 2001 to 2008, we find evidence for the existence of both deal facilitating and escaping effects of home region corruption.
A key issue raised by the rapid growth of computerised algorithmic trading is how it responds in extreme situations. Using data on foreign exchange orders and transactions that includes identification of algorithmic trading, we find that this type of trading contributed to the deterioration of market quality following the removal of the cap on the Swiss franc on 15 January 2015, which was an event that came as a complete surprise to market participants. In particular, we find that algorithmic traders withdrew liquidity and generated uninformative volatility in Swiss franc currency pairs, while human traders did the opposite. However, we find no evidence that algorithmic trading propagated these adverse effects on market quality to other currency pairs.
