Systematisierung der Erfolgsfaktoren von Wissensmanagement auf Basis der bisherigen empirischen Forschung

Zusammenfassung  Der vorliegende Beitrag leitet aus einer umfassenden Bestandsaufnahme der empirischen Forschung zum Wissensmanagement einen Bezugsrahmen der Erfolgsfaktoren ab. Ziel ist die Zuordnung der identifizierten Erfolgsfaktoren zu übergeordneten Aggregationsniveaus (Untersuchungsfelder, Kategorien und Dimensionen) und damit die Reduzierung von Komplexit?t und Systematisierung der bisherigen Befunde. Weiterhin sollen aus den Ergebnissen der vorliegenden Analyse Implikationen für die weitere Forschung im Wissensmanagement abgeleitet werden. Als Ergebnis resultiert ein Modell, welches die Inhalte als auch die hypothetischen Beziehungen zwischen den identifizierten Aggregationsebenen veranschaulicht. Er bildet damit Grundlage für eine weitere Analyse der Erfolgsfaktoren, ihrer Auspr?gungen und Interdependenzen. Aus der Heterogenit?t der Studien konnten weitere Implikationen für die theoretische Wissensmanagement-Forschung abgeleitet werden.

---

Knowledge management factors of success: A review of empirical findings and a model for future research

Summary  This paper derives a framework of key success-factors from an in-depth review of empirical research in knowledge management. Our first objective was to reduce the complexity of previous findings in the field of knowledge management by developing a model-structure that focuses on the interdependencies of the identified variables and to develop a framework that would allow for further research. We thus iteratively aggregated the identified factors of success to superior fields of analysis (named research fields, categories and dimensions). Our second objective was to extract from the analysis further implications for future research. The derived hypothetical framework maps the identified levels of aggregation and its describing factors, as well as the hypothetical interdependencies among them. Therefore this framework not only structures the findings, but also provides a basis for further analysis that aims at sound confirmation of the knowledge management factors of success, their characteristics and interdependencies. The observed heterogeneity of existing research points towards further research implications for knowledge management theory.

Forschungsschwerpunkte: Mergers & Acquisitions, Projektmanagement, Wissensmanagement     

TRUST,COORDINATION, AND THE INDUSTRIAL ORGANIZATION OF POLITICAL ACTIVISM

We study political activism by several interest groups with private signals. When their ideological distance to the policymaker is small, a “low‐trust” regime prevails: agents frequently lobby even when it is unwarranted, taking advantage of the confirmation provided by others' activism; conversely, the policymaker responds only to generalized pressure. When ideological distance is large, a “high‐trust” regime prevails: lobbying behavior is disciplined by the potential contradiction from abstainers, and the policymaker's response threshold is correspondingly lower. Within some intermediate range, both equilibria coexist. We then study the optimal organization of influence activities, contrasting welfare levels when interest groups act independently and when they coordinate. (JEL: D72, D78, D82)     

Multidimensional Analysis of Water Poverty and Subjective Well-Being: A Case Study on Local Household Variation in Faisalabad,Pakistan

Water poverty is difficult to evaluate because it is multidimensional. It is determined not only by the availability of water sources but also whether communities have adequate access to clean, uncontaminated water. It is also dependent on the resource needs of those using the water. Under the premise that water scarcity is multidimensional, we use a Water Poverty Index approach using Principal Component Analysis to develop an index at the household level in 10 villages in one large farming community to examine each household’s subjective view of well being as a result of water poverty. This paper reviews how water resources endowments and depletion because of indiscriminate disposal of untreated industrial wastewater, household sewage and climate change are posing serious threats to water poverty at the household level in developing agrarian economies like Pakistan. We report from our results that both the perceived level of pollution and the proximity to clean and polluted water sources matter significantly for subjective well-being in rural households of Pakistan. The villages closer to polluted water sources are unhappier while the villages, which have better access to fresh water, have relatively higher subjective well-being. A strong implementation of environmental protection measures and regional strategies are suggested to alleviate water poverty and increase subjective well-being in local communities.     

The differential influence of geographic isolation on environmental migration: a study of internal migration amidst degrading conditions in the central Pacific

Population and Environment - This study investigates how geographic isolation interacts with declining environmental and economic conditions in Kiribati, an island nation wherein which limited...     

Instrumental variable estimation in ordinal probit models with mismeasured predictors

Researchers in the medical, health, and social sciences routinely encounter ordinal variables such as self‐reports of health or happiness. When modelling ordinal outcome variables, it is common to have covariates, for example, attitudes, family income, retrospective variables, measured with error. As is well known, ignoring even random error in covariates can bias coefficients and hence prejudice the estimates of effects. We propose an instrumental variable approach to the estimation of a probit model with an ordinal response and mismeasured predictor variables. We obtain likelihood‐based and method of moments estimators that are consistent and asymptotically normally distributed under general conditions. These estimators are easy to compute, perform well and are robust against the normality assumption for the measurement errors in our simulation studies. The proposed method is applied to both simulated and real data. The Canadian Journal of Statistics 47: 653–667; 2019 © 2019 Statistical Society of Canada     

“It Led to Great Advances in Science”: What Teacher Candidates Know About the Holocaust

A quarter of a century has passed since lawmakers enacted the New Jersey Holocaust education mandate, and it seems responsible and timely to ask if it, the original Holocaust education mandate, actually encouraged substantive learning about the Holocaust. Despite repeated fanfare about the mandate and its inclusion in educational curricula throughout the state, no existing studies have tested its impact. To fill the gap, this article examines the effectiveness of the New Jersey Holocaust education mandate. It does this by reviewing and analyzing a survey of teacher candidates at a large public university in New Jersey to develop data on the knowledge and attitudes about the Holocaust. The teacher candidates comprised a pool whose primary and secondary education took place under the mandate and who intend to teach within the state-mandated framework. After a review of the current state of Holocaust education, the article examines the New Jersey mandate and curriculum more carefully. It then moves on to explore the results of a mixed-methods survey given to teacher candidates at a public university in that state to offer a measure of the mandate’s success. Finally, it ends with implications for revisions of curriculum and instruction.     

Diversity and assemblage filtering in ground-dwelling spiders (Araneae) along an urbanisation gradient in Denmark

Urban Ecosystems - We studied the effects on spiders of a three-step rural-urban urbanisation gradient near a Danish town embedded in a historically forested landscape. Using pitfall traps set in...     

Mapping the global football field: a sociological model of transnational forces within the world game

This paper provides a sociological model of the key transnational political and economic forces that are shaping the 'global football field'. The model draws upon, and significantly extends, the theory of the 'global field' developed previously by Robertson. The model features four quadrants, each of which contains a dominant operating principle, an 'elemental reference point', and an 'elemental theme'. The quadrants contain, first, neo-liberalism, associated with the individual and elite football clubs; second, neo-mercantilism, associated with nation-states and national football systems; third, international relations, associated with international governing bodies; and fourth, global civil society, associated with diverse institutions that pursue human development and/or social justice. We examine some of the interactions and tensions between the major institutional and ideological forces across the four quadrants. We conclude by examining how the weakest quadrant, featuring global civil society, may gain greater prominence within football. In broad terms, we argue that our four-fold model may be utilized to map and to examine other substantive research fields with reference to globalization.     

Explaining Cross-Country Differences in Attitudes Towards Immigration in the EU-15

In this paper, we use data from the first two rounds of the European Social Survey to analyze the extent to which differences in average attitudes towards immigration across the EU-15 countries may be explained by differences in socioeconomic characteristics and individually perceived consequences of immigration, using an extension of a decomposition technique developed by Fairlie (2005). We find that despite the significant effects of socioeconomic characteristics on attitudes, differences in the distributions of these characteristics can only explain a modest share of the cross-country variation in average attitudes. A larger part can be explained by differences in perceived consequences of immigration, but the main part is still left unexplained. Apart from providing useful input for policy makers working in the area of immigration policy, this raises a number of questions for further research for which the ESS data can be successfully applied.