Serial entrepreneurship: impact of human capital on time to re-entry

This study uses a longitudinal matched employer–employee database to examine how ex-entrepreneurs’ levels of general and specific human capital influence their likelihood of re-entering entrepreneurship over time, in a different firm, thereby becoming serial entrepreneurs. The results reveal a negative effect of general human capital on the hazard of becoming a serial entrepreneur; the impact of entrepreneurial-specific human capital on the hazard of re-entering entrepreneurship is in general positive. This research provides a dynamic approach to serial entrepreneurship revealing that specific types of human capital play distinct roles on individuals’ entrepreneurial behavior.     

Overcoming data barriers in spatial agri-food systems analysis: A flexible imputation framework

Suppressions in public data severely limit the usefulness of spatial data and hinder research applications. In this context, data imputation is necessary to deal with suppressed values. We present and validate a flexible data imputation method that can aid in the completion of under-determined data systems. The validations use Monte Carlo and optimisation modelling techniques to recover suppressed data tables from the 2017 US Census of Agriculture. We then use econometric models to evaluate the accuracy of imputations from alternative models. Various metrics of forecast accuracy (i.e., MAPE, BIC, etc.) show the flexibility and capacity of this approach to accurately recover suppressed data. To illustrate the value of our method, we compare the livestock water withdrawal estimations with imputed data and suppressed data to show the bias in research applications when suppressions are simply dropped from analysis.     

Cross-border private equity syndication: Institutional context and learning

Private equity (PE) has become an increasingly international phenomenon but there is a lack of research that looks at the process by which PE firms invest across borders. We aim to fill this gap in the literature by examining the role of institutional context and organizational learning as determinants of cross-border PE syndication. We examine these issues by studying the international expansion by later-stage UK PE investors into continental Europe over the period 1990 to 2006. Our results indicate that institutional context (in terms of the number of PE firms in the local environment and the presence of investment bankers in the local market) and organizational learning (in terms of the PE firm's experience in the host country; the PE firm's multinational experience; and the number of investment managers per portfolio company; but not the presence of local offices) are significantly related to the use of cross-border syndicates. Implications for theory and practice are suggested.     

Empirical and Heuristic-Based Evaluation of Collaborative Modeling Systems: An Evaluation Framework

Within the field of groupware systems, collaborative modeling systems play an important role. They are useful and promising tools for many fields of application. In this paper we begin with the evaluation of the usefulness of one of these tools, SPACE-DESIGN, by applying it to a specific domain and by comparing it to a single-user tool which is shared by means of a shared window system. We have performed a study in two phases in order to evaluate usability aspects and the awareness support of both software tools. The first phase is an empirical study with users who have worked with both software tools, whilst the second is a heuristic study with some heuristic models that are well known in the context of the research work. Taking into account this study, we propose a complete evaluation framework, to be used as a theoretical lab which could be used to evaluate interactive and usability aspects of any collaborative modeling tool. This is based on a comparison strategy and proposes a specific sequence of phases: selection of collaborative modeling tools, empirical evaluation, heuristic evaluation, analysis of results, and obtaining of conclusions.     

Leading and Following (Un)ethically in <Emphasis Type=Italic>Limen</Emphasis>

We propose a liminality-based analysis of the process of ethical leadership/followership in organizations. A liminal view presents ethical leadership as a process taking place in organizational contexts that are often characterized by high levels of ambiguity, which render the usual rules and preferences dubious or inadequate. In these relational spaces, involving leaders, followers, and their context, old frames may be questioned and new ones introduced in an emergent way, through subtle processes whose evolution and implications may not be easy to grasp even by those participating in them.     

Larry Page on Google北大核心CSSCISSCI

Last month, Larry Page sat down with Fortune Senior Writer Miguel Helft for a lengthy interview for a forthcoming Fortune magazine article. It was only Page’s second wide-ranging conversation with a print publication since becoming CEO of Google in April 2011. Fortune: When you’re thinking about the next bet you’re going to make, how do you pick? Larry Page:     

Product Innovation in Resource‐Poor Environments: Three Research Streams

We explore the role and relevance of resource scarcity in product innovation. The literature tends to assume that the development of new products requires resource sufficiency for the process to be conducted systematically. But we are also taught that necessity is the mother of invention and that resource scarcity may be a trigger of innovation in adverse contexts. In this discussion, we organize the literature on product innovation in resource‐poor contexts in three streams. The paper contributes to a finer‐grained understanding of the role of scarcity in product innovation and suggests that creative approaches to scarcity may contribute to knowledge enrichment of product innovation theory and practice.     

Current account sustainability in the US: What did we really know about it?

We analyze the sustainability of the US current account (CA) deficit by means of unit-root tests. First, we argue that there are several reasons to believe that the CA may follow a non-linear mean-reversion behavior under the null of stationarity. Using a non-linear ESTAR model we can reject the null of non-stationarity favoring the sustainability hypothesis. Second, we ask whether unit-root tests are a useful indicator of sustainability by comparing in-sample results for the 1960–2004 period to the developments observed up to the end of 2008. We find that the non-linear model outperforms the linear and random walk models in terms of forecast performance. The large shocks to the CA observed in the last five years induced a faster speed of mean reversion, ensuring the necessary adjustment to meet the inter-temporal budget constraint.