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Why information should influence productivity 147increase in the number of widgets produced is typically far more straightforwardthan gauging increases in the value of white-collar labor. Managerialoutput, for example, is often remote from the bottom line. However, the questionof how information technology might contribute to productivity remainscentral to understanding what is significantly different about the informationage.Current literature offers a starting-point. Productivity per information technologydollar varies widely, and may differ with clusters of technology, strategy,and organizational practice. Findings in the literature correspond withmanagers’ conventional wisdom: it is not the presence of the technology itselfthat influences productivity, but how it is used. Our central question followsfrom this insight: specifically: how should information management practicesinfluence white-collar productivity and what theories would explain theseeffects?This analysis differs from earlier work on the relationship between computerizationand productivity by focusing on how information and connectivityinfluence productivity as distinct from computer technology per se. Thecentral question is approached from two distinct theoretical perspectives oninformation: the economics of uncertainty and computational complexitytheory. Both theories are highly abstracted from social context and emphasizethe thorough and rigorous development of results related to information andefficiency. But they ask different questions, use different tools, and, mostimportantly, conceptualize information in different ways. We apply them hereintending to inform organizational theory and with the hope of moving theoryinto practice.In adopting a Bayesian view, neoclassical economists consider only howinformation addresses the probabilistic “truth” of a proposition. Roughlystated, the neoclassical view of information and productivity is that if youcould reduce uncertainty about the state of the world to zero then solutions toproductivity puzzles would be obvious. In contrast, computational complexitytheory asks first whether a problem can be solved, given an algorithm, encodingor heuristic. If so, theoretical interest then centers on determining an upperbound for the time it will take specific procedures to locate a satisfactory solution.As the efficient use of information is unlikely to be independent of efficientstructures for moving it, we combine these models with insights from networkmodeling. Hypotheses are extended such that topology and path length affectsearch and overload. Centrality and holes affect access.The first section of this chapter seeks to develop a common theoreticalunderstanding by posing and addressing three questions: (1) What is productivity?(2) What defines the Bayesian and computational perspectives? (3)What is the relationship between these perspectives and white-collar output?
148 Marshall Van Alstyne and Nathaniel BulkleyThe second section of the chapter develops a dozen broad hypothesesgoverning factors such as information search, coordination, risk, push, sharingincentives, know-how distribution, and network topology. The scope is limitedto the consideration of theories explaining how information management practicesmight influence individual output. For clarity of focus, it does not addressstrategic uses of information in a game theoretic or political sense. 1 Such questionstend toward the distribution of surplus while our interest centers on howsurplus is created. When information serves as an input, how does it connectto output?To breathe life into theory and illustrate each hypothesis, practical examplesare provided from an ongoing empirical study of output in the executivesearch industry. 2 Two firms are providing data that include six months of e-mail communications, one year of accounting data, online surveys, andpersonal interviews. A third firm also provided surveys, interviews, andmodest accounting data but ceased operations as an independent entity duringthis investigation. Survey response rates exceed 85 percent at three firms,while e-mail coverage exceeds 87 percent at two firms. 3 The virtue of executivesearch as a point of inquiry is that recruiting efforts involve complexwhite-collar professional tasks in a context where output is measurable andwhere information networks matter. Output can be measured in terms ofrevenue, duration, completion rate, and ability to multitask. Social networksalso help recruiters ascend industry learning curves as well as identify and vetviable candidates.WHAT IS PRODUCTIVITY?In this chapter, productivity refers to the definition of total factor productivityin economics: the difference between total real output product and total realfactor input (Jorgenson, 1995). Changes in the values of product and factorinput are separated into price and quality components. The definition is consistentwith a summary measure of performance based on the ratio of the totalvalue of output divided by the total value of input.Following the economic theory of production, firms are assumed to possessa means of transforming inputs into outputs. Different combinations of inputscan be used to produce specific levels of output, and the production functionis assumed to adhere to certain basic assumptions: Inputs and outputs arevalued at market prices and investments in fixed factors of production areapportioned as shares of input across time.Productivity increase is defined as an outward shift of feasible production(see figure 6.2b which shows increased production with the same resources).This is the difference between the rate of growth of real product and the rate
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- Page 197 and 198: 176 Chris BennerLABOR AND FLEXIBILI
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148 Marshall Van Alstyne and Nathaniel BulkleyThe second section of the chapter develops a dozen broad hypothesesgoverning factors such as information search, coordination, risk, push, sharingincentives, know-how distribution, and network topology. The scope is limitedto the consideration of theories explaining how information mana<strong>ge</strong>ment practicesmight influence individual output. For clarity of focus, it does not addressstrategic uses of information in a game theoretic or political sense. 1 Such questionstend toward the distribution of surplus while our interest centers on howsurplus is created. When information serves as an input, how does it connectto output?To breathe life into theory and illustrate each hypothesis, practical examplesare provided from an ongoing empirical study of output in the executivesearch industry. 2 Two firms are providing data that include six months of e-mail communications, one year of accounting data, online surveys, andpersonal interviews. A third firm also provided surveys, interviews, andmodest accounting data but ceased operations as an independent entity duringthis investigation. Survey response rates exceed 85 percent at three firms,while e-mail covera<strong>ge</strong> exceeds 87 percent at two firms. 3 The virtue of executivesearch as a point of inquiry is that recruiting efforts involve complexwhite-collar professional tasks in a context where output is measurable andwhere information networks matter. Output can be measured in terms ofrevenue, duration, completion rate, and ability to multitask. Social networksalso help recruiters ascend industry learning curves as well as identify and vetviable candidates.WHAT IS PRODUCTIVITY?In this chapter, productivity refers to the definition of total factor productivityin economics: the difference between total real output product and total realfactor input (Jor<strong>ge</strong>nson, 1995). Chan<strong>ge</strong>s in the values of product and factorinput are separated into price and quality components. The definition is consistentwith a summary measure of performance based on the ratio of the totalvalue of output divided by the total value of input.Following the economic theory of production, firms are assumed to possessa means of transforming inputs into outputs. Different combinations of inputscan be used to produce specific levels of output, and the production functionis assumed to adhere to certain basic assumptions: Inputs and outputs arevalued at market prices and investments in fixed factors of production areapportioned as shares of input across time.Productivity increase is defined as an outward shift of feasible production(see figure 6.2b which shows increased production with the same resources).This is the difference between the rate of growth of real product and the rate