William Ocasio defines organizational attention as the “noticing, encoding, interpreting, and focusing of time and effort by organizational decision makers on issues and answers” (p. 189). Attention is a scarce and critical resource that is distributed in the organization to foster the focus on a diverse set of issues and action alternatives. Organizational strategy acts as a guide to the distribution of the attention effort in the organization, coherent interconnection between pockets of shared attention and development of collective capacity to respond coherently to internal and external stimuli. Changes in the organizational strategy often arise as result of changes in the external environment or when the usual problem solving logic is no longer effective.
Readiness for strategic change requires that attention structures and communication channels are flexible and adaptable to the new needs of collective attention. According to (William Ocasio et al., 2018) there’s “a rather limited understanding of communicative practices in various communication channels and particularly the extent to which they reinforce existing patterns of organizational attention or facilitate the formulation and implementation of strategic change” (p. 159). The talk addresses research carried out with the objective of providing empirical evidence for the role that communicative practices play in facilitating the formulation and implementation of strategic change, with a particular focus on communicative practices supported or enabled by information systems.

With increasing amounts and variety of and access to open data collected in our environment, the distance between those who understand the data observation processes and those who analyse the data increases. This enlarges the risk of carrying out operations that are not meaningful, such as summing temperature values or interpolating coal power plant emissions. To avoid the need for tables with permitted analysis procedure for every phenomenon, we attempt to categorize phenomena first. Combining the ideas of Stevens' (1946) one-dimensional measurement scale types with those of spatial and temporal reference systems, we construct compound reference systems that address how space, time, quality, and entity cohere. What we find formalizes ideas established in spatial statistics over three decades ago, but has not been reflected well in spatial data standardization efforts, or spatial data base design. The talk will discuss the potential of these findings, implementation challenges, and their value for relational and array data bases for spatio-temporal data.