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Handbook of Principles of Organizational Behavior - Soltanieh ...

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60 E DUARDO S ALAS AND K EVIN C. STAGL<br />

Fortunately, the science <strong>of</strong> training has benefi ted from an explosion <strong>of</strong> research activity<br />

since the late 1990s and has much to contribute to ensuring the vitality <strong>of</strong> organizations<br />

and the domestic and global economies they fuel. For example, Salas and Cannon - Bowers<br />

( 2000 ) tapped the science <strong>of</strong> training to extract fundamental principles and advance targeted<br />

guidance for designing systematic training in the fi rst edition <strong>of</strong> this book series.<br />

Almost a decade later, this chapter continues the tradition by providing a translation<br />

mechanism for stakeholders charged with fostering more effective individuals, teams, and<br />

organizations via systematic training initiatives. Specifically, we advance a set <strong>of</strong> theories,<br />

principles, guidelines, best practice specifications, and lessons learned that address some<br />

<strong>of</strong> the many linkages among training problems, theories, techniques, and tools.<br />

Our discussion follows a four phase process to designing blended training solutions.<br />

We use our own experiences facilitating learning, and draw heavily upon the science <strong>of</strong><br />

training, to advance phase - specific guidelines for designing, developing, delivering, and<br />

evaluating training solutions (Table 4.1 ). We cannot overstate the contribution <strong>of</strong> colleagues,<br />

who represent many disciplines, to shaping our thinking on training issues. Next, we describe<br />

the success <strong>of</strong> team training in the aviation industry and discuss the lessons learned from<br />

a failure to develop a sales force. We conclude by presenting two scenario - based exercises<br />

crafted to impart knowledge about designing and evaluating learning solutions.<br />

ANALYZE TRAINING NEEDS<br />

Training needs analysis can be the most important phase <strong>of</strong> training design because its<br />

success depends on an intensive collaborative partnership between key stakeholders. The<br />

charge <strong>of</strong> this partnership is to clarify the purposes <strong>of</strong> training, illuminate the organizational<br />

context, define effective performance and its drivers, and begin to cultivate a climate<br />

<strong>of</strong> learning. Essential activities conducted during the needs analysis phase include:<br />

(a) conducting training due diligence, (b) defining performance functions and processes,<br />

(c) defining affective and cognitive states, (d) defining an attribute model, and (e) delineating<br />

learning objectives. When executed with care, these activities can help ensure remaining<br />

phases yield a meaningful learning solution.<br />

Conduct due diligence<br />

Training methods and techniques are not interchangeable or universally applicable, as<br />

evidenced by recent meta - analytic findings (Klein, Stagl, Salas, Burke, DiazGranados,<br />

Goodwin, and Halpin, 2007 ). For example, the same learning solution may be differentially<br />

effective if it is implemented to address short - , mid - and/or long - term business<br />

objectives. Hence, effective instruction in one setting may prove counterproductive elsewhere.<br />

This is why it is critical to describe the specific challenges and opportunities training<br />

will address; and thereby defi ning what, and for whom, benefi ts will accrue.<br />

Due diligence is a process for clarifying and quantifying the expected benefi ts from<br />

training for individuals, teams, and higher- level units (division, organization, society). The<br />

purpose <strong>of</strong> the process is to gather the information required to have an objective and dispassionate<br />

dialog about whether or when a particular solution should be institutionalized.<br />

And the conversation must encompass more than just performance, productivity, and

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