Denn sie wissen was sie tun!

Information and communication technologies (IT) permeate both the business and the private world. They cause profound changes for companies in terms of structure, leadership, culture, education and the position of individuals within the context of the company. Established structures, decision making habits and methods of communication are being called into question. This means that communication is neither explicitly controllable nor in some cases even specified, but it also should not be viewed as arbitrary. Structures which are treated as contingent require meta-management, reflection and determination. Leaders are forced to act within a constellation of tensions between the reduction and the expansion of complexity as basic functions of structuring. Ideally this type of steering takes place consciously and with a view toward the future, taking into account the increasing complexity and dynamics of the environment and the corporate culture. Empirical studies of our four intervention research projects show that the situation for many companies is sobering. Companies cannot always entirely interpret the rapid development of communication technologies and the consequences it brings with it, nor can they completely make use of its potential advantages. Companies and individuals are forced to think actively within the networked economy. The demand for further education shifts between the company (expertise, employee loyalty) on the one hand and the responsibility of the individual for his or her own development on the other. Agreements are the key to bringing harmony and new solutions to the conflicts among the differing interests of individuals, subsystems and the company as a whole. Considering the complex requirements for companies and management caused by IT, this article shows that reflective observation of intervention research, guided by theory and with a focus on targeted change of management practice, is a process which provides new opportunities for action in both theory and practice. In this process, focusing (systemization) and reflection (enhancement of perspectives) are fundamental keys for dealing with complexity.     

Model-Based Classification via Mixtures of Multivariate t-Factor Analyzers

A model-based classification technique is developed, based on mixtures of multivariate t-factor analyzers. Specifically, two related mixture models are developed and their classification efficacy studied. An AECM algorithm is used for parameter estimation, and convergence of these algorithms is determined using Aitken's acceleration. Two different techniques are proposed for model selection: the BIC and the ICL. Our classification technique is applied to data on red wine samples from Italy and to fatty acid measurements on Italian olive oils. These results are discussed and compared to more established classification techniques; under this comparison, our mixture models give excellent classification performance.     

The servant identity: Influences on the cognition and behavior of servant leaders

This paper approaches the study of servant leadership by concentrating on the identity of servant leaders. An identity is important to one's sense of self and it influences the way a leader cognitively processes socially relevant information and exercises a particular leadership behavior in response to a situation. Unlike existing studies, which typically approach servant leadership as one of a number of possible leadership styles, and which merely describe its characteristics, this paper serves to explain the basis for individuals enacting this mode of leadership. This paper defines and elaborates on the servant identity by showing the psychological factors constituting it. Taking a socio-cognitive approach, the paper offers a theoretical framework for the servant identity. The framework encompasses the cognitive and behavioral disposition of leaders with servant identity and the organizational contexts that influence it. This new angle on servant leadership opens avenues for future research and practice.     

An Improved Boxplot for Univariate Data

The boxplot is an effective data-visualization tool useful in diverse applications and disciplines. Although more sophisticated graphical methods exist, the boxplot remains relevant due to its simplicity, interpretability, and usefulness, even in the age of big data. This article highlights the origins and developments of the boxplot that is now widely viewed as an industry standard as well as its inherent limitations when dealing with data from skewed distributions, particularly when detecting outliers. The proposed Ratio-Skewed boxplot is shown to be practical and suitable for outlier labeling across several parametric distributions.     

Clinton and the playing-the-gender-card metaphor in campaign news

This article offers a critical discourse analysis of the use of the playing-the-gender-card metaphor in US campaign coverage, with a focus on its use in Senator Hillary Clinton's campaign for president in 2007. I argue that the media use the gender-card metaphor to stand in for a variety of complex arguments about women in politics. The essay serves as a case study to validate how political metaphors can be used to obscure socially unacceptable and empirically unsupportable arguments. It also reveals that it is taboo for women candidates to talk about sex discrimination on the campaign trail and that the culture operates to silence its legacy of proscribing women from the political field. Finally, the essay encourages future women candidates to plan rhetorical responses to the gender-card metaphor by understanding the latent arguments and connotations buried in it.     

The impact of random machine unavailability on inventory policies in a continuous improvement environment

There are production situations where a production facility (e.g. a machine) is used intermittently to produce lot sizes of certain products. Upon completion of production run, the facility may not be available for a random amount of time due to several reasons, such as: the facility needs to be maintained and the maintenance time is random due to unforeseen circumstances; or that the facility is leased by different manufacturers and the demand for the facility is random. As a result of machine unavailability, stock-out situations might arise. This paper extends the work of Abboud et al . (2000, Computers and Operations Research , 27 , 335-351) by assuming learning and forgetting in production. A new mathematical model is developed with numerical examples and sensitivity analysis provided. Furthermore, this paper determines how the overall inventory cost is influenced by the nature of the random variable that represents the unavailability time of the production facility.     

Making quality a fundamental part of strategy

All that is known about strategy and strategic planning indicates that quality is a major factor in gaining competitive advantage. It is cost effective, profitable, promotes corporate longevity and builds an important company value system. The authors argue that is too important a factor to be left solely to quality control personnel or planners and is a fundamental part of the chief executive's responsibility for the development of strategy.     

Market segmentation: an integrated framework

Contrary to the narrow, demand-oriented approach to market segmentation taken in much of the marketing and planning literature, this article illustrates a broader, integrated framework which includes both the demand and supply sides of the competitive equation. The author argues that starting with ‘product’ characteristics is both an easier and more actionable way of segmenting markets than the traditional marketing approach that typically begins with the customer or ‘people’ characteristics. This approach can be employed by a business to make decisions about entering a market segment, differentiating a brand from its competition, positioning it in the market and communicating its quality to the customers. Customers, too, generally rely on product characteristics to perceive and evaluate the quality claims made by different competitors. Thus, the article bridges an important gap between strategy formulation and strategy implementation: an area often neglected in the strategy literature. The proposed approach focuses not only on customer benefits or needs, but also on the resources necessary to satisfy them and demonstrates this with examples from Apple, Church & Dwight and many other companies. To show a practical application, the article presents a price-quality-benefit segmentation profile of the US toothpaste market which revealed three strategic groups.     

Modeling the demand reduction input-output (I-O) inoperability due to terrorism of interconnected infrastructures.

Interdependency analysis in the context of this article is a process of assessing and managing risks inherent in a system of interconnected entities (e.g., infrastructures or industry sectors). Invoking the principles of input-output (I-O) and decomposition analysis, the article offers a framework for describing how terrorism-induced perturbations can propagate due to interconnectedness. Data published by the Bureau of Economic Analysis Division of the U.S. Department of Commerce is utilized to present applications to serve as test beds for the proposed framework. Specifically, a case study estimating the economic impact of airline demand perturbations to national-level U.S. sectors is made possible using I-O matrices. A ranking of the affected sectors according to their vulnerability to perturbations originating from a primary sector (e.g., air transportation) can serve as important input to risk management. For example, limited resources can be prioritized for the "top-n" sectors that are perceived to suffer the greatest economic losses due to terrorism. In addition, regional decomposition via location quotients enables the analysis of local-level terrorism events. The Regional I-O Multiplier System II (RIMS II) Division of the U.S. Department of Commerce is the agency responsible for releasing the regional multipliers for various geographical resolutions (economic areas, states, and counties). A regional-level case study demonstrates a process of estimating the economic impact of transportation-related scenarios on industry sectors within Economic Area 010 (the New York metropolitan region and vicinities).     

Factors influencing middle and high schools' active parental consent return rates

The authors examined factors influencing the return rates for attempting to collect active parental consent forms from 21,123 students in the 7th through 10th grades in 41 middle and high schools. Overall return rates from middle schools were higher than from high schools. Schools that offered high levels of staff support for collecting consent forms had higher return rates. Procedures where the consent form was attached to a school form that parents had to complete and return to the school yielded the highest return rate. Implications for how researchers can obtain a high parent consent form return rate are discussed.