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Strategic decision-making (SDM) involves the methods and practices organizations use to interpret opportunities and threats in the environment and then make response decisions (Shrivastava & Grant, 1985). Modern decision-making support system (DMSS) technology is often also needed for complex SDM, with recent research calling for more integrative DMSS approaches (Mora, Forgionne, Cervantes, Garrido, Gupta, & Gelman, 2005; Phillips-Wren, Mora, Forgionne, & Gupta, 2009). Such DMSS technologies offer the type of rich and powerful research technology platforms with a high degree of external and internal validity as well as reliability required for integrated decision support (Mora et al., 2005; Liu, Duffy, Whitfield, Boyle, & McKenna, 2009; Linebarger, De Spain, McDonald, Spencer, & Cloutier, 2009; Mostashari & Sussman, 2009; Phillips-Wren et al., 2009).
Conditions of uncertainty in highly turbulent environments (e.g., crisis response), by nature, further complicate the SDM process, and may limit decision making effectiveness (Ramirez-Marquez & Farr, 2009). At issue is the presumed need for speed of response where logic dictates that a satisfactory decision that is made quickly is superior to an optimal decision made too late. Two of the most commonly accepted, and widely employed decision making processes in these contexts are political behavior and procedural rationality (Fredrickson & Mitchell, 1984; Hart, 1992; Eisenhardt & Zbaracki, 1992; Dean & Sharfman, 1993; Hart & Banbury, 1994; Radner, 2000; Hough & White, 2003; Elbana & Child, 2007). Prior research advocates that ‘political’ processes will be more effective in these contexts, and that ‘rational’ decision processes will be less effective in unstable environments (Fredrickson & Mitchell, 1984). Subsequent research considered the effectiveness of processes in ‘high velocity’ environments and advocated that rational decision-making processes will allow for faster response and will be more effective than political decision-making processes in these contexts (Bourgeois & Eisenhardt, 1988; Eisenhardt, 1989). Hart (1992) later expanded on these arguments to develop a framework for decision-making processes involving a variety of forms stemming from political or rational bases, and also argued that ‘rational’ approaches should relate positively to effectiveness, while more ‘political’ approaches should not.
Collectively, the literature on the effectiveness of these SDM processes across a variety of settings is in conflict as some studies suggest that rational decision-making processes will be positively related to effectiveness (Bourgeois & Eisenhardt, 1988; Eisenhardt, 1989; Hart, 1992) and political decision-making processes will not be effective (Hart, 1992), while others advocate for political decision-making processes and against rational decision-making processes (Fredrickson & Mitchell, 1984). Given this conflict, and the fact that these differences are largely unresolved empirically, one contribution of this study is that we examine the effectiveness implications of political and rational SDM processes. Through doing so, we offer some clarification and resolution of the conflicting predictions and findings of Fredrickson and Mitchell (1984), Bourgeois and Eisenhardt (1988), and Hart (1992). Further, while the inclusion of a mediating role for response choice is well theorized, it is also largely untested empirically in prior work. Therefore a further contribution of this study is that we also seek to take into account this mediating role of choice on decision effectiveness.