Managing authenticity: the paradox of great leadership

Leaders and followers both associate authenticity with sincerity, honesty, and integrity. It's the real thing--the attribute that uniquely defines great managers. But while the expression of a genuine self is necessary for great leadership, the concept of authenticity is often misunderstood, not least by leaders themselves. They often assume that authenticity is an innate quality--that a person is either genuine or not. In fact, the authors say, authenticity is largely defined by what other people see in you and, as such, can to a great extent be controlled by you. In this article, the authors explore the qualities of authentic leadership. To illustrate their points, they recount the experiences of some of the authentic leaders they have known and studied, including the BBC's Greg Dyke, Nestlé's Peter Brabeck-Letmathe, and Marks & Spencer's Jean Tomlin. Establishing your authenticity as a leader is a two-part challenge. You have to consistently match your words and deeds; otherwise, followers will never accept you as authentic. But it is not enough just to practice what you preach. To get people to follow you, you also have to get them to relate to you. This means presenting different faces to different audiences--a requirement that many people find hard to square with authenticity. But authenticity is not the product of manipulation. It accurately reflects aspects of the leader's inner self, so it can't be an act. Authentic leaders seem to know which personality traits they should reveal to whom, and when. Highly attuned to their environments, authentic leaders rely on an intuition born of formative, sometimes harsh experiences to understand the expectations and concerns of the people they seek to influence. They retain their distinctiveness as individuals, yet they know how to win acceptance in strong corporate and social cultures and how to use elements of those cultures as a basis for radical change.     

INCOME AND WEALTH OVER THE LIFE CYCLE EVIDENCE FROM PANEL DATA

In this paper we examine household wealth and income in the Netherlands using data from the Socio Economic Panel (SEP) in the period 1987–89. We provide an evaluation of the quality of the data and some simple statistics which describe the behavior of wealth, saving, and income over the life cycle. We find there is substantial heterogeneity in the behavior of households, and wealth holdings vary substantially even among the same age group. By exploiting the panel feature of the SEP, we derive saving from first differencing wealth. We find that a sizeable fraction of households do not dissave when old and we find some evidence in favor of the bequest motive.     

Delphi in a future scenario study on mental health and mental health care

The article highlights methodological issues of futures research on mental health (care). In particular the limited relevance of quantitative psychiatric epidemiology is emphasized. The mental health sector in the Netherlands is characterized as a balance of power between professionals, institutions, insurance companies, patient organizations and local and national governments. To value shifts in this balance and to assess future interventions and policies, opinions of people who know the sector well are indispensable. Delphi with its main characteristics of anonymity, iteration and feedback to the participants and being a predominantly qualitative method for data collection was chosen to gather this type of information. Finally the Delphi method as a tool in policy-oriented futures research is discussed. The strength of Delphi must be found in its capacity to generate new options for intervention and to enhance consciousness of the future in order to reinforce rationality of decision processes. Clarifying dissensus on the issues under study proved to be as relevant as the elucidation of consensus.     

The Method of Purging Applied to Repeated Cross-Sectional Data

In cross-sectional survey research, it is quite common to estimate the(standardized) effect of independent variable(s) on a dependent variable. However, if repeated cross-sectional data are available, much is to be gained if the consequences of these effects on longitudinal social change are considered.To assess these consequences, we describe a type of simulation in whichlongitudinal shifts in the independent variable's distribution, and longitudinal variation in effect on the dependent variable are `purged' from the data. Although the method of purging is known for many years, we add new practical features by relating the method to logistic and linear regression analysis. Because both logistic and linear regression analysis can be found in all majorstatistical packages, the method of purging is made available to a wider group of social scientists. With the use of repeated cross-sectional data, gathered in the Netherlands between 1970 and 1998, the new practical features of the purging method are shown, using the SPSS package.     

Politics, economics, and nursing shortages: a critical look at United States government policies

The economic concept that the independent actions of buyers and sellers tend to move the market toward equilibrium where there is no shortage or surplus is basic in the classic and current literature of economics. The problem with subsidies is that nurses who receive subsidized educations are able to provide nursing services for less compensation because they paid less or nothing for their educations. Subsidies may be politically appealing, but they override market forces of supply and demand. The demand for nurses and nursing instructors can be met and maintained for generations to come with policies that expand roles and reimbursement for APNs and encourage the nurse and nursing instructor labor markets to correct themselves by providing fair compensation under Magnet status working conditions. Politics and policies meant to correct the nursing shortage should focus less on how to reduce the cost of producing nurses, and more on how to afford to compensate nurses with wages and benefits that achieve market equilibrium.     

Social exclusion and labour market transitions: a multi-state multi-spell analysis using the BHPS

In this empirical paper, we assess how social exclusion arises in the context of labour market transition behaviour. We estimate a multi-state multi-spell competing risks model and identify five states: high skilled employment, intermediate skilled employment, low skilled employment, unemployment and out-of-the-labour market. Using data from the first seven waves of the British Household Panel Survey, we show that a substantial number of workers were trapped in a vicious circle of low-skilled employment, unemployment and inactivity in the 1990s. Workers who are part of the so-called flexible workforce are more likely to suffer social exclusion.     

Forecast reconciliation: A geometric view with new insights on bias correction

A geometric interpretation is developed for so-called reconciliation methodologies used to forecast time series that adhere to known linear constraints. In particular, a general framework is established that nests many existing popular reconciliation methods within the class of projections. This interpretation facilitates the derivation of novel theoretical results. First, reconciliation via projection is guaranteed to improve forecast accuracy with respect to a class of loss functions based on a generalised distance metric. Second, the Minimum Trace (MinT) method minimises expected loss for this same class of loss functions. Third, the geometric interpretation provides a new proof that forecast reconciliation using projections results in unbiased forecasts, provided that the initial base forecasts are also unbiased. Approaches for dealing with biased base forecasts are proposed. An extensive empirical study of Australian tourism flows demonstrates the theoretical results of the paper and shows that bias correction prior to reconciliation outperforms alternatives that only bias-correct or only reconcile forecasts.