HERBERT BLUMER'S CONCEPTUAL IMPACT

Blumer's conceptual development was particularly crucial to the development of sociology. Despite his many talents, Blumer's importance as a sociologist stems from his profound theoretical contributions. He affected the discipline through his insistence on precision of thought in a field that let fuzzy ideas and meaningless numbers take its place. In addition, he offered a serious axiomatic-deductive theory to sociology. Although we do not always recognize his impact, few sociologists are untouched by his work. Ultimately Blumer's impact is what we make it by our own practice.     

Business Interest Group Power and Temporary Assistance to Needy Families*

Objectives. Our aim is to test the influence of business interest groups on Temporary Assistance to Needy Families (TANF) policy at the state level. Methods. We use the state TANF guarantee, the length of time recipients have before they lose their benefits, and the existence of a “family cap” as dependent variables in three models. Each of the models tests business interest group power and several other measures that represent possible influences on the dependent variable. Results. We find that business interest group power is significantly related to both the generosity of the TANF guarantee and to TANF time limits. However, it is not related to the presence of the family cap in state TANF policy. Conclusions. The evidence we found is consistent with the idea that those state TANF policies that are most intimately related to business interests are just those policies that are most affected by business group influence. States' TANF policies regarding maximum benefit and time limits both have a direct impact on wealth redistribution and labor‐market behavior. On the other hand, business interest groups do not seem to have much influence on the presence of TANF family caps, policies that are arguably less the concern of business interest groups, and more connected to public attitudes toward families and children.     

Model-based potential analysis of the distribution logistics: a case study

Abstract

The design of its distribution logistics has a decisive influence on a company’s logistical costs and performance. They therefore make an essential contribution to corporate success. This article describes a method for analysing the potential of distribution logistics in terms of logistical costs and performance. In contrast to previous procedures of business process re-engineering, this method maps distribution logistics holistically under variable distribution structures. The article is focused on the approach and results of a case study in a multinational manufacturer of propulsion and automation technologies for machine construction and systems engineering. The developed method is distinguished by a high degree of practicality and applicability. It will contribute to a more efficient design of distribution logistics.     

Young Adult Carers: The Impact of Caring on Health and Education

Research has shown that young people who care for parents and relatives (young carers and young adult carers) are at greater risk of mental and emotional difficulties and are more likely to do badly at school or college. To explore the difficulties faced by young adult carers (aged 14–25) in the UK, an online survey was conducted. Almost half (45%) of the 295 respondents reported having a mental health problem. The relationship between the extent of caring and perceived mental health problems and the impact of caring responsibilities on work and education were investigated.     

Entrepreneurial Marketing in Online-Netzwerken

A growing number of professionals use online social networks (e.g., Xing or LinkedIn) for business reasons by specifically promoting themselves. Especially executives and entrepreneurs use business social networks as a marketing tool in order to manage their business contacts and, thus, positioning themselves as a brand. Using on Keller’s (1993) customer-based brand equity model, we focus on the special behavior of entrepreneurs in such social networks. Based on the a large data set from a leading social network, we empirically analyze whether entrepreneurs act differently than other users and whether this strategy pays off. Based on a SUR model, we determine what the drivers for entrepreneurs’ profile views and contacts are. The results show that entrepreneurs focus on communicating their intentions and competencies and engage actively in the community. Especially participating in user groups and attending community events are key drivers for success.     

Sampling Weights for Analyses of Couple Data: Example of the Demographic and Health Surveys

In some surveys, women and men are interviewed separately in selected households, allowing matching of partner information and analyses of couples. Although individual sampling weights exist for men and women, sampling weights specific for couples are rarely derived. We present a method of estimating appropriate weights for couples that extends methods currently used in the Demographic and Health Surveys (DHS) for individual weights. To see how results vary, we analyze 1912 estimates (means; proportions; linear regression; and simple and multinomial logistic regression coefficients, and their standard errors) with couple data in each of 11 DHS surveys in which the couple weight could be derived. We used two measures of bias: absolute percentage difference from the value estimated with the couple weight and ratio of the absolute difference to the standard error using the couple weight. The latter shows greater bias for means and proportions, whereas the former and a combination of both measures show greater bias for regression coefficients. Comparing results using couple weights with published results using women’s weights for a logistic regression of couple contraceptive use in Turkey, we found that 6 of 27 coefficients had a bias above 5 %. On the other hand, a simulation of varying response rates (27 simulations) showed that median percentage bias in a logistic regression was less than 3 % for 17 of 18 coefficients. Two proxy couple weights that can be calculated in all DHS surveys perform considerably better than either male or female weights. We recommend that a couple weight be calculated and made available with couple data from such surveys.