De-Fusing Organizational Power Using Anonymity and Cognitive Factions in a Participative Strategic Planning Setting

When an organization is facing disruptive change or the need for new capabilities to fit new conditions, the creation of a democratic strategic plan can be useful. However, strategic plans typically only reflect the beliefs and values of their architects; not all stakeholders. To include the beliefs of all stakeholders requires a participative environment. Due to the potential deleterious effects that organizational power may have in a participative setting, anonymity and cognitive factions is proposed to reduce the possible negative effects associated with power in a participative strategic planning setting. Group support systems have been shown to protect relationships and retain the social order in these settings. In this specific case, through the use of a group support system that supports anonymity and cognitive faction identification, we found that the sources of power typically found and used to drive group decisions in an academic setting did not drive the content of the strategic plan.     

A TEST OF PERFORMANCE SIMILARITY AMONG STRATEGIC GROUP MEMBERS IN CONFORMING AND NON-CONFORMING INDUSTRY STRUCTURES

Empirical tests have produced mixed support for a membership-performance link in strategic groups, perhaps due to incomplete treatment of industry forces. We argue that strategic group concept is more useful for explaining performance differences among firms in some industries (where conditions favour conformity in firm conduct) than others. Using three industry structure constructs as criteria, 47 four-digit SIC industries are classified into ‘conforming’ or ‘non-conforming’ industry samples. Firms are then clustered into strategic groups in a separate treatment for each sample. Performance differences among groups are tested under conforming and non-conforming industry conditions. Tests confirm membership effects on ROA and ROE are significantly stronger in ‘conforming’ industries, where stronger regression relationships between conduct variables and performance also obtain.     

Strategic Planning in an Accounting Department using Causal Maps and Cognitive Factions

Strategic planning can be a time-consuming task for academic departments. As such, an effective and efficient strategic planning approach is paramount. This paper presents a strategic planning approach using causal mapping to uncover the factors which faculty members believed would make their department (in the USA) more successful. The information gathered during the session was used as part of an AACSB accounting maintenance of accreditation process. The approach applied here elicits faculty involvement in ways which bring to the surface perspectives held by subgroups/factions of faculty. Additional perspectives are positive in a strategic planning context as they can contribute to devising strategies that might not have resulted by considering only majority views. Content analysis of the strategic plan suggests the range of views uncovered were integrated into the plan, including both the strategic factors and the relative importance of the factors.     

Doomed from the start: what is the value of selecting a future dominant design?

This study investigates how important it is for a firm to select what turns out to be a dominant design in a technology‐driven industry. Using the personal computer industry as a case study, this research shows that firms are not doomed when their entry design choices turn out to be ‘wrong.’ For early entrants, we found that switching to the dominant design is associated with increased chances of survival and market share. Contrary to our expectations, we found that even later entrants that switched to the dominant design also enjoyed higher survival rates and greater market position. Copyright © 1999 John Wiley & Sons, Ltd.     

Cognitive Factions in a Top Management Team: Surfacing and Analyzing Cognitive Diversity using Causal Maps

Cognitive diversity has been shown to positively affect team performance, especially in the early stages of strategic planning. We report on a process that explicitly identifies cognitive factions; sub-groups of individuals with diverse views and beliefs within a top management team (TMT). Our group-driven causal mapping process provides greater clarity to understanding the underlying belief structures of the cognitive factions through the adoption of givens-means-ends (GME) and casual path analysis. We achieve this clarity by having members of the TMT define and agree on the strategic factors before they construct their individual cause maps. Through this process, based on the relationships shared among the team members, we can readily merge individual cause maps into cognitive faction maps. By employing GME and casual path analysis to the cognitive faction maps, we can surface the differences in beliefs among the different cognitive factions within the TMT. We demonstrate our process using a 13-person TMT from an information technology services firm. The cause maps of the cognitive factions directly represent some of the issues and assumptions that need to be discussed and debated among the members of the TMT, thus increasing the potential for cognitive faction beliefs to enhance decision-making. We also find that cognitive factions relate to task roles of the team members, providing further evidence that different beliefs develop in different areas of the organization.