Life cycles of growing organizations: A review with implications for knowledge and learning

Conceptualizing growth trajectories of organizations in organismic terms describing transitions through a series of stages, from birth to maturity, has considerable intuitive appeal. Recently, the assumptions underpinning the life‐cycle perspective (growth is linear, sequential, deterministic and invariant) have been argued not to pertain to organizations. This paper reviews the literature on life‐cycle growth models, traces the development of a growing sophistication of conceptualizing growth and highlights some of the limitations of the literature. The authors make a contribution by proposing an alternative conceptual framework for thinking about growing businesses. The framework consists of two dimensions. First, a typology of key issues that are likely to be faced by all growing firms, and the discussion is shaped by M. Gladwell's (The Tipping Point: How Little Things Can Make a Big Difference. Boston: Little Brown, 2000) notion of ‘tipping points’. The second dimension is developed by drawing on the knowledge management literature and the concept of absorptive capacity ( Cohen, W.M. and Levinthal, D.A. (1990 ). Absorptive capacity: a new perspective on learning and innovation. Administrative Science Quarterly, 35 , 128–152). This concept is applied to a discussion of the state of an organization regarding its ability to absorb and use new knowledge. Further, it is suggested that the framework has value for both policy and practice and can be used for the design and specification of interventional support and, to identify and evaluate their impact. If interventions are to help firms to grow, they must provide the right knowledge or support in forms that the firm can utilize. Together, these two dimensions provide a framework to examine firm growth issues and to analyse the effectiveness of different interventions on firms in different states within this framework.     

Die Rolle des Luftverkehrsrechts und der Haftung bei Flugzeugkatastrophen: Eine Finanzmarktanalyse

Zusammenfassung  Rechtsansprüche gegen Fluggesellschaften und Flugzeughersteller in Folge einer Flugzeugkatastrophe richten sich nach einer Flut rechtlicher Bestimmungen, die aus internationalen Abkommen, Vereinbarungen zwischen Fluglinien sowie aus Bundes- und Landesrecht resultieren. Die jeweilige Rechtsgrundlage in einem spezifischen Fall h?ngt von verschiedenen Umst?nden ab, die mit einem Unfall verbunden sind. Es überrascht daher nicht, dass zugesprochene Schadensersatz- und Schmerzensgeldzahlungen an die Angeh?rigen der Opfer von Fall zu Fall erheblich divergieren. In unserer Studie mit U.S.-amerikanischen Daten untersuchen wir, inwieweit der kurz- und langfristige Erfolg von Fluggesellschaften und Flugzeugherstellern durch Flugzeugkatastrophen beeinflusst wird und wir eruieren diejenigen Determinanten, die Performanceunterschiede erkl?ren k?nnen. Verwandte Untersuchungen haben sich weitgehend auf Effekte für Markennamen oder steigende Versicherungspr?mien als Ursachen für Aktienkursverluste konzentriert. Unsere Ergebnisse zeigen darüber hinaus, dass das regulatorische Umfeld einer spezifischen Unglückssituation erheblichen Einfluss darauf hat, wie Finanzm?rkte reagieren. Die Reaktionen der Marktteilnehmer weisen darauf hin, dass die unterschiedlichen Berechnungsgrundlagen für die Opferentsch?digung recht klar erkannt werden.

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The role of aviation laws and legal liability in airplane accidents: A financial market perspective

Summary  Legal liability claims against airlines and airplane manufacturers following an aviation disaster are determined through a myriad of international treaties, intercarrier agreements, and federal and state laws. Which law applies in a specific situation depends on various circumstances surrounding the accident. As a result, pecuniary and non-pecuniary damage awards for the families of the accident victims may vary substantially from case to case. Using U.S. data, our study examines how aviation disasters affect the short and long-term performance of airlines and airplane manufacturers and explores the factors that drive the performance differences. While prior research has largely focused on brand name effects and rising insurance premiums as possible determinants of stock price losses, our results suggest that the regulatory environment that applies to a given aviation accident has a significant impact on how the market reacts to its announcement. Inequities in the valuation of a human life are clearly reflected in stock price reactions. While recent regime changes have helped eliminate some of these imbalances further reform may be necessary.

     

Use of Markov Chain Monte Carlo Analysis with a Physiologically-Based Pharmacokinetic Model of Methylmercury to Estimate Exposures in U.S. Women of Childbearing Age

A Bayesian approach, implemented using Markov Chain Monte Carlo (MCMC) analysis, was applied with a physiologically‐based pharmacokinetic (PBPK) model of methylmercury (MeHg) to evaluate the variability of MeHg exposure in women of childbearing age in the U.S. population. The analysis made use of the newly available National Health and Nutrition Survey (NHANES) blood and hair mercury concentration data for women of age 16–49 years (sample size, 1,582). Bayesian analysis was performed to estimate the population variability in MeHg exposure (daily ingestion rate) implied by the variation in blood and hair concentrations of mercury in the NHANES database. The measured variability in the NHANES blood and hair data represents the result of a process that includes interindividual variation in exposure to MeHg and interindividual variation in the pharmacokinetics (distribution, clearance) of MeHg. The PBPK model includes a number of pharmacokinetic parameters (e.g., tissue volumes, partition coefficients, rate constants for metabolism and elimination) that can vary from individual to individual within the subpopulation of interest. Using MCMC analysis, it was possible to combine prior distributions of the PBPK model parameters with the NHANES blood and hair data, as well as with kinetic data from controlled human exposures to MeHg, to derive posterior distributions that refine the estimates of both the population exposure distribution and the pharmacokinetic parameters. In general, based on the populations surveyed by NHANES, the results of the MCMC analysis indicate that a small fraction, less than 1%, of the U.S. population of women of childbearing age may have mercury exposures greater than the EPA RfD for MeHg of 0.1 μg/kgg/day, and that there are few, if any, exposures greater than the ATSDR MRL of 0.3 μgg/kgg/day. The analysis also indicates that typical exposures may be greater than previously estimated from food consumption surveys, but that the variability in exposure within the population of U.S. women of childbearing age may be less than previously assumed.     

Cell-to-switch level planning in mobile wireless networks for efficient management of radio resources

A major step in effectively managing radio resources in a cellular network is to design an appropriate scheme for assigning cells to a location area (LA), serviced by a switch, and allocate resources for individual switches. However, this assignment is already proven in the literature to be an NP-hard problem [Merchant A, Sengupta B. Assignment of cells to switches in PCS networks. IEEE/ACM Transactions on Networking 3(5) (1995) 521–6] that requires efficient heuristic search techniques for obtaining real-time solutions. This work presents a state-space search technique, which is a variant of best first search heuristic technique. The algorithm called the block depth first search (BDFS), allocates cells to switches during switch level resource planning. Under various simulated performance criteria, we compare the performance of the proposed technique with other similar procedures in the literature. Our results indicate that the BDFS outperforms the meta-heuristic procedures in terms of both efficiency and quality of solutions. Hence, we conclude that our proposed technique can be effectively used for switch level planning leading to an efficient management of scarce radio resource in cellular networks.     

The International Crisis of Confidence in Corporations

Journal of Management and Governance -     

Underlying Values and Consequences in Financial Services

The freeing of financial markets has brought with it increasing sophistication in regulatory regimes. Over time, a succession of frauds and financial scandals has emphasised some limitations of these complex regulatory schemes. This paper seeks to address the reasons for the events that have caused concern, and suggests that they are to be found principally in three categories: (1) the underlying values that drive financial services; (2) the assumptions and values of regulatory regimes, and (3) the increased opportunities to break or evade the rules. Some possible ways forward are sketched. This revised version was published online in July 2006 with corrections to the Cover Date.     

Naked reverse: unexpected plays for exceptional results

Following the herd is easy when it comes to business ventures. But if you really want to start something new, you must first carefully think it through. Learn some ways to do that before you set out on a new path.     

Risk Perception in a Developing Country: The Case of Chile

In this work we characterize risk perception in Chile, based on the psychometric paradigm, exploring the difference between perceived social and personal risk. For this purpose, we conducted a survey including 54 hazards, 16 risk attributes, and 3 risk constructs. The survey, divided into four parts, was administered to 508 residents of Santiago, Chile. Using factor analysis, three main factors, which accounted for 80% of the sample's variance, were identified: factor 1, commonly called "Dread Risk" in the literature, explained 37% of variance; factor 2, "Unknown Risk," explained 28%; and factor 3, which we called "Personal Effect," explained 15% of the variance. On average, individuals perceived themselves as less exposed to risk and with more control and knowledge about them than the general population. OLS regression models were used to test the association of perceived risk with the three main factors. For social risk, factor 1 had the greatest explanatory power, while factor 2 had a negative sign. For personal risk, only factors 2 and 3 were significant, with factor 3 having the greatest explanatory power. Risk denial (defined as the difference between perceived personal and social risk) was associated with factors 1 and 2 only, with factor 2 having a negative sign. The difference between desired and actual regulation levels proved positive for all hazards, thus indicating that Chileans are dissatisfied with the current regulation level for all the hazards analyzed. The comparison of data at the aggregate and at the individual subject's level suggests that while the aggregate analysis overestimates the magnitude of the correlations it still reflects the tendency of the individual responses.