Although numerous behavioral variables (e.g., personality traits, incentives, nature of supervision) have documented relationships with quantity and quality of output, i.e., performance, in production systems, existing production and operations management models are dominated by technological variables. The article addresses three questions: 1. Which technological and behavioral variables influence productive system performance? 2. How do behavioral and technological variables interact? 3. Which variables are most important under different circumstances in determining performance?An expectancy‐equity model, patterned on research by Lawler [22], presents proposed relationships among variables in production systems, which are classified along a continuum from high to low process predictability. Predominant determinants of performance in various types of systems (e.g., continuous process, job shop, R&D project) are considered in light of the model. Implications for designers and analysts of productive systems and for future research are discussed.
We investigated disclosure decisions by identifying a circumstance, the spin-off of a segment, where the benefits of disclosure should outweigh the costs. We compared the valuation revisions associated with spin-off announcements of firms with previous line of business disclosures to valuation revisions of firms making spin-off announcements without these disclosures. We found significant stock price increases associated with the spin-off announcement regardless of prior segment disclosure history. We also found, however, that the stock price increases were temporary for firms without prior segment disclosures, while the valuation revisions for firms with previous line-of-business disclosure information persisted. Copyright Springer Science + Business Media, Inc. 2005disclosure, divestiture, spin-off, segment, valuation, returns,
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