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 balanced scorecard approach to enterprise systems performance measurement

A range of influences, both technical and organisational, has encouraged the wide spread adoption of Enterprise Systems (ES). Nevertheless, there is a growing consensus that Enterprise Systems have in many cases failed to provide expected benefits. The increasing role of, and dependency on ES (and IT in general), and the ‘uncertainty’ of these large investments, have created a strong need to monitor and measure ES performance. This paper reports on a research project aimed at deriving an ‘Enterprise Systems benefits measurement instrument’. The research seeks to identify how Enterprise Systems benefits can be usefully measured, with a ‘balance’ between qualitative and quantitative factors.