Transforming New Ideas into Practice: An Activity Based Perspective on the Institutionalization of Practices

We develop an activity‐focused process model of how new ideas can be transformed into front line practice by reviving attention to the importance of habitualization as a key component of institutionalization. In contrast to established models that explain how ideas diffuse or spread from one organization to another, we employ a micro‐level perspective to study the subsequent intra‐organizational processes through which these ideas are transformed into new workplace practices. We followed efforts to transform the organizationally accepted idea of ‘interdisciplinary teamwork’ into new everyday practices in four cases over a six year time period. We contribute to the literature by focusing on de‐habitualizing and re‐habitualizing behaviours that connect micro‐level actions with organizational level theorizing. Our model illuminates three phases that we propose are essential to creating and sustaining this connection: micro‐level theorizing, encouraging trying the new practices, and facilitating collective meaning‐making.     

A HISTORICAL PERSPECTIVE ON INDIGENOUS SOCIOECONOMIC OUTCOMES IN AUSTRALIA, 1971–2001

Current debate in Indigenous affairs in Australia often involves the assertion that the last 30 years has been a period of policy failure. This article examines trends across a number of socioeconomic outcomes for Indigenous Australians from the 1967 referendum to the present, using census data. Overall, there has been steady, although not spectacular improvement in outcomes over time. These improvements are especially marked for education, which was coming from an exceptionally low base. This finding is somewhat at odds with the common perception of the 'failure' of Indigenous policy.     

The power of online panel paradata to predict unit nonresponse and voluntary attrition in a longitudinal design

The objective of this study is to identify factors affecting participation rates, i.e., nonresponse and voluntary attrition rates, and their predictive power in a probability-based online panel. Participation for this panel had already been investigated in the literature according to the socio-demographic and socio-psychological characteristics of respondents and different types of paradata, such as device type or questionnaire navigation, had also been explored. In this study, the predictive power of online panel participation paradata was instead evaluated, which was expected (at least in theory) to offer even more complex insight into respondents’ behavior over time. This kind of paradata would also enable the derivation of longitudinal variables measuring respondents’ panel activity, such as survey outcome rates and consecutive waves with a particular survey outcome prior to a wave (e.g., response, noncontact, refusal), and could also be used in models controlling for unobserved heterogeneity. Using the Life in Australia? participation data for all recruited members for the first 30 waves, multiple linear, binary logistic and panel random-effect logit regression analyses were carried out to assess socio-demographic and online panel paradata predictors of nonresponse and attrition that were available and contributed to the accuracy of prediction and the best statistical modeling. The proposed approach with the derived paradata predictors and random-effect logistic regression proved to be reasonably accurate for predicting nonresponse—with just 15 waves of online panel paradata (even without sociodemographics) and logit random-effect modeling almost four out of five nonrespondents could be correctly identified in the subsequent wave.