Knowledge that Transforms

Common sense suggests that work is organized in accordance with plans that are created by designers who reflect on the work setting and manipulate representations of the work process in order to de...

This paper illustrates how a learning-curve model can be generalized to investigate potential explanations of organizational learning. The paper examines the hypothesis that knowledge acquired thro...

Recent ethnographic studies of workplace practices indicate that the ways people actually work usually differ fundamentally from the ways organizations describe that work in manuals, training progr...

The objective of this research was to determine if a convergence in understanding between providers and users of a technology would result in greater innovativeness regarding that technology. Two mechanisms were proposed for achieving greater convergence: (1) more frequent communication and (2) the use of richer communication channels. Here, convergence represents the degree of mutual understanding between the technology providers and the other business personnel about the firm's business activities and the importance of the technology in supporting those activities. Frequency of communication indicated the degree to which the technology providers and the business personnel had communication contact, while richness of communication was determined by the type of communication channel used. These means of communication ranged from face to face, computer mediated, to written channels of communication. The convergence construct was operationalized in terms of the value chain framework where 14 business activities (primary and secondary to the value chain) were identified. Convergence thus represents the degree of mutual understanding between the technology providers and the business personnel regarding the importance of these business activities and the importance of the technology in supporting these activities. Innovativeness was determined through expert evaluation of information technology innovativeness. This research was conducted in two United States divisions of a large multinational firm. The units of analyses for the research constructs were the departments in these two divisions. The constructs were measured over five periods of data collection so that longitudinal, causal analysis techniques (cross-lagged correlations and path analysis) were used to investigate the research model. The following results were obtained: (1) convergence was found to be a predictor of innovativeness, (2) communication richness was a predictor of convergence, and (3) communication frequency was a predictor of both convergence and communication richness. This study provided two important extensions to the often-studied relationship between communication behaviors and innovativeness. First, this research showed empirically that the richness of communication influences innovativeness and, in fact, may be the more relevant predictor variable. Secondly, this research showed that convergence is an important intervening construct in the communication activity/innovativeness relationship. Interestingly, the research model only suggested a causal relationship for convergence on the importance of the primary business activities. Thus, the intent of this study to examine the proposition that frequent and rich communication exchanges produce a convergence in understanding among technology providers and users and, that this convergence directly promotes organizational innovativeness was supported.