How groups learn,continuously

This article examines how groups learn, conditions that affect learning, and interventions to improve the learning process. Adaptive group learning is reacting almost automatically to stimuli to make minor changes in process and outcome. Generative group learning is proactive learning for mastery. Transformative group learning is reconstructing meaning and fundamentally changing the way the group operates. Pressures and opportunities in the environment and group readiness stimulate and support these different types of learning. Group leaders, members, and human resource professionals who facilitate, coach, and provide resources for development can apply this knowledge to diagnose group conditions and encourage continuous learning. © 2007 Wiley Periodicals, Inc.     

‘It's more than who you know’– networks and trade unions in the audio‐visual industries

Many commentators have argued that a shift towards post‐industrial modes of production and employment has progressively undermined the conditions for collective labour organisation and regulation. The capacity of trade unions to respond to these changes and represent the interests of contingent workers has become a key issue in many industries in which employment has become increasingly fragmented. This article examines patterns of interest representation pursued by freelance workers in the UK audio‐visual sector. In particular, it examines three critical cases to explore the potential of networks of freelance workers for representing their interests and to consider the implications for trade unions as traditional collective actors. We conclude that networks can provide forums through which interests can be articulated, but their limitations in representing freelance workers offer trade unions a crucial opportunity to extend collective regulation.     

Prosecuting Insurance Fraud—A Case Study of the Massachusetts Experience in the 1990s

There is widespread agreement that insurance fraud is a major problem in the United States. There is little agreement, however, in what constitutes insurance fraud in the many articles and research papers published on the subject during the past ten years. The term ‘‘fraud’’ carries the connotation that the activity is illegal and, hence, that prosecution and conviction are potential outcomes of a specific fraud. Accepting that premise allows us to adopt the legal definition of fraud in the insurance context and to examine the experience of dealing with insurance fraud in terms of property‐liability insurance lines. Specifically, we examine ten years of data on referrals and disposals of incidents of suspected fraud as processed by the Insurance Fraud Bureau of Massachusetts to provide estimates of the distribution of types of people who perpetrate a variety of insurance frauds. We compile conviction rates, sentencing outcomes, and recidivism rates in detail to illuminate the law enforcement process and to gauge the deterrent effect of prosecuting insurance fraud in the criminal courts. The Massachusetts data lead us to conclude that the number of cases of convictable fraud is much smaller than the prevailing view of the extent of fraud; that the majority of guilty subjects have prior (noninsurance) criminal records; and that sentencing of subjects guilty of insurance fraud appears effective as both a general and specific deterrent for insurance fraud but ineffective as a specific deterrent for other crime types, as the recidivism rate appears no different from the general property criminal's recidivism rate.     

When technological discontinuities and disruptive business models challenge dominant industry logics: Insights from the drugs industry

An industry's dominant logic is the general scheme of value creation and capture shared by its actors. In high technology fields, technological discontinuities are not enough to disrupt an industry's dominant logic. Identifying the factors that might trigger change in that logic can help companies develop strategies to enable them to capture greater value from their innovations by disrupting that logic. Based on analyzing the changes that biotechnologies and bioinformatics have brought to the drug industry, we identify and characterize three triggers of change that can create disruptive business models. We suggest that, in mature industries experiencing strong discontinuities and high technological uncertainty, entrants' business models initially tend to fit into the industry's established dominant logic and its value chains remain unchanged. But as new technologies evolve and uncertainty decreases, disruptive business models emerge, challenging dominant industry logics and reshaping established value chains.     

Dynamic Pricing in Declining Demand: The Case of Duopoly

The purpose of this study is to investigate what theory predicts about price dynamics when firms face a decline in demand for their product due to an arrival of a new substitutable product. To this end, this paper constructs a dynamic duopoly model and simulates price paths. The study demonstrates that the price path is nonmonotonic and could be divided into three stages. The basic mechanism of generating the path is a tradeoff between two counteracting motives to set the price: pricing lower to delay the adoption of the new product, and pricing higher to exploit price‐insensitive consumers.     

The Development of International Industry Clusters: A Complexity Theory Approach

Recent research on networks and clusters as distributive systems of knowledge is drawing on complexity theory as a way of explaining the knowledge processes involved in these organizational forms. It appears that complexity theory and its component concepts, such as coevolution and self-organization, can offer some meaningful insights into, and possible explanations for, knowledge phenomena associated with networks and clusters. Using a case study approach, this paper explores the development of a New Zealand based industry cluster from early formation to international expansion, with a particular focus on the creation and dissemination of knowledge within the cluster. The observations are reported and discussed in the context of complexity theory, drawing particularly on coevolutionary principles. It is suggested that these approaches provide a useful way of understanding the process of industry cluster development and the dynamics associated with international expansion.     

Integration planning for technology intensive acquisitions

Rapid technological change, growing technological complexity and shortening product life cycles increasingly force companies to source technologies externally. One means of building up competencies and fostering innovation based on external resources such as knowledge is through the acquisition of technology-based companies. However as literature and practice have shown, technologically motivated and intensive acquisitions are highly vulnerable to failure. One of the main reasons for this value destruction lies in the miscarried and inappropriate integration of the technology-based company after the acquisition.
Based on eight in-depth case studies on technology intensive acquisitions in multi-national technology-based companies this paper aims to identify the main causes of failure in internalizing external knowledge during the integration of technology intensive acquisitions. It was derived that a lack of integrative decision-making, of systemic processes and of a holistic change of both companies during the integration hinders successful knowledge sourcing through acquisitions. Based on these findings, a concept for integration planning which is tailored towards the specific characteristics of technology intensive acquisitions is proposed. This concept is embedded in the acquisition process and encompasses the development of an appropriate integration strategy and the determination, assessment and planning of the required integration projects thus fostering successful knowledge sourcing.     

Attributional influences on consumers' desires to communicate about products

Three studies examined attributional antecedents of selected consumer communications about products. Study One used the critical incident technique to examine the types of attributions consumers make about product performance when they want to complain to or compliment a firm. Studies Two and Three systematically manipulated causal inferences to determine their effects on consumer desire to complain to a firm, compliment a firm, warn against, or recommend a product to other consumers. Results indicate that attributional locus (buyer-related versus seller-related), controllability (under volitional control versus uncontrolled), and stability (fluctuating versus stable) influence consumers' desires to communicate about products.     

民主化比较研究：一些广泛的和局部性的结论

民主化的比较研究已经产生了两类普遍结论:一类几乎一般的适用,一类则仅适用于一定地区内的某些国家。第一类包括良好的经济发展在保证民主持续稳定发展中的作用、政治精英在建立和毁掉民主制度中的重要作用、法治和国家能力对新生民主的质量和巩固发展的重要性等等。第二类是前东欧社会主义国家与拉丁美洲和南欧的民主化的对比:例如民主化与经济转型的关系、从过去的政治经济体制快速或缓慢转型对于巩固新生民主制度的利与弊等。这两类结论对比较政治学者有两个方法论上的启示:一是怎样理解理论的普遍性,二是如何衡量事件的长期性的和直接性的原因哪个更重要。