Building an organizational change communication theory

The difficulty of communicating during organizational change has intensified with the prevalence of continuously changing organizations (Buchanan, Claydon & Doyle, 1999). The difficulty faced by managers is compounded by the lack of studies examining organizational communication within a context of organizational change (Eisenberg, Andrews, Murphy, & Laine-Timmerman, 1999; Lewis & Seibold, 1996). Not surprisingly then, is there a paucity of organizational change theory to guide further research and practitioners. This paper addresses the lack of organizational change communication research and contributes to theoretical development of communication during organizational change. A model of change communication during continuous change is presented from the analysis of two longitudinal empirical studies. Central constructs of the model are the monologic change communication, the dialogic change communication and the background talk of change. Further Van de Ven and Poole's (1995) Process Theories of Change are extended to consider the sequencing of the three constructs. The findings suggest that the sequencing of the dominant change communication approaches is informed by an alignment of individual communication competences and organizational change communication expectations.

A Method of Preparing Future Hourly Weather Data for the Study of Global Warming Impact on the Built Environment

The dynamic interaction between building systems and external climate is extremely complex, involving a large number of difficult-to-predict variables. In order to study the impact of global warming on the built environment, the use of building simulation techniques together with forecast weather data are often necessary. Since all building simulation programs require hourly meteorological input data for their thermal comfort and energy evaluation, the provision of suitable weather data becomes critical. Based on a review of the existing weather data generation models, this paper presents an effective method to generate approximate future hourly weather data suitable for the study of the impact of global warming. Depending on the level of information available for the prediction of future weather condition, it is shown that either the method of retaining to current level, constant offset method or diurnal modelling method may be used to generate the future hourly variation of an individual weather parameter. An example of the application of this method to the different global warming scenarios in Australia is presented. Since there is no reliable projection of possible change in air humidity, solar radiation or wind characters, as a first approximation, these parameters have been assumed to remain at the current level. A sensitivity test of their impact on the building energy performance shows that there is generally a good linear relationship between building cooling load and the changes of weather variables of solar radiation, relative humidity or wind speed.