"The Good News about Bad News": Information about Past Organisational Failure and its Impact on Worker Productivity
Sabrina Jeworrek, Vanessa Mertins, Michael Vlassopoulos
Abstract
Failure in organisations is a very common phenomenon. Little is known about whether past failure affects workers’ subsequent performance. We conduct a field experiment in which we follow up a failed mail campaign to attract new volunteers with a phone campaign pursuing the same goal. We recruit temporary workers to carry out the phone campaign and randomly assign them to either receive or not receive information about the previous failure and measure their performance. We find that informed workers perform better – in terms of both numbers dialed (about 14% improvement) and completed interviews (about 20% improvement) – regardless of whether they had previously worked on the failed mail campaign. Evidence from a second experiment with student volunteers asked to support a campaign to reduce food waste suggests that the mechanism behind our finding relates to contextual inference: Informing workers/volunteers that they are pursuing a goal that is hard to attain seems to add meaning to the work involved, leading them to exert more effort.
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Meaningless Work Threatens Job Performance
Adrian Chadi, Sabrina Jeworrek, Vanessa Mertins
LSE Business Review,
2017
Abstract
Open, transparent communication across the organisation is generally associated with improved employee motivation and organisational outcomes. For supervisors, the question arises how to deal with rather inconvenient information, such as in the case of a project failure. Informing employees after significant investments of time and effort might lead to negative effects on subsequent work motivation, one could argue. To identify a causal relationship between the meaning of previously completed work and workers’ subsequent work performance, we exploited a natural working environment in which the loss of the job’s meaning occurred as a matter of fact. At the same time, it was possible to credibly guide only part of the workforce to believe in the sudden loss of meaning by conducting a controlled experiment.
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Immigration and the Rise of American Ingenuity
Ufuk Akcigit, John Grigsby, Tom Nicholas
American Economic Review,
No. 5,
2017
Abstract
We build on the analysis in Akcigit, Grigsby, and Nicholas (2017) by using US patent and census data to examine the relationship between immigration and innovation. We construct a measure of foreign born expertise and show that technology areas where immigrant inventors were prevalent between 1880 and 1940 experienced more patenting and citations between 1940 and 2000. The contribution of immigrant inventors to US innovation was substantial. We also show that immigrant inventors were more productive than native born inventors; however, they received significantly lower levels of labor income. The immigrant inventor wage-gap cannot be explained by differentials in productivity.
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05.01.2017 • 3/2017
Secretariat for research network CompNet gets new home at IWH
The Halle Institute for Economic Research (IWH) – Member of the Leibniz Association is pleased to announce that it will be hosting the Secretariat for the Competitiveness Research Network (CompNet), an international network of scholars and practitioners, who share interest for top-notch research and policy analysis on competitiveness and productivity.
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Buy, Keep, or Sell: Economic Growth and the Market for Ideas
Ufuk Akcigit, Murat Alp Celik, Jeremy Greenwood
Econometrica,
No. 3,
2016
Abstract
An endogenous growth model is developed where each period firms invest in researching and developing new ideas. An idea increases a firm's productivity. By how much depends on the technological propinquity between an idea and the firm's line of business. Ideas can be bought and sold on a market for patents. A firm can sell an idea that is not relevant to its business or buy one if it fails to innovate. The developed model is matched up with stylized facts about the market for patents in the United States. The analysis gauges how efficiency in the patent market affects growth.
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Does the Technological Content of Government Demand Matter for Private R&D? Evidence from US States
Viktor Slavtchev, Simon Wiederhold
American Economic Journal: Macroeconomics,
No. 2,
2016
Abstract
Governments purchase everything from airplanes to zucchini. This paper investigates the role of the technological content of government procurement in innovation. In a theoretical model, we first show that a shift in the composition of public purchases toward high-tech products translates into higher economy-wide returns to innovation, leading to an increase in the aggregate level of private R&D. Using unique data on federal procurement in US states and performing panel fixed-effects estimations, we find support for the model's prediction of a positive R&D effect of the technological content of government procurement. Instrumental-variable estimations suggest a causal interpretation of our findings.
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Transition to Clean Technology
Daron Acemoglu, Ufuk Akcigit, Douglas Hanley, William R. Kerr
Journal of Political Economy,
No. 1,
2016
Abstract
We develop an endogenous growth model in which clean and dirty technologies compete in production. Research can be directed to either technology. If dirty technologies are more advanced, the transition to clean technology can be difficult. Carbon taxes and research subsidies may encourage production and innovation in clean technologies, though the transition will typically be slow. We estimate the model using microdata from the US energy sector. We then characterize the optimal policy path that heavily relies on both subsidies and taxes. Finally, we evaluate various alternative policies. Relying only on carbon taxes or delaying intervention has significant welfare costs.
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Types of Cooperation Partners as Determinants of Innovation Failures
Walter Hyll, Gunnar Pippel
Technology Analysis and Strategic Management,
No. 4,
2016
Abstract
In this paper we analyse if specific R&D cooperation partners are related to an increase in the probability of innovation failures in terms discontinuing innovation projects. We distinguish between seven different R&D cooperation partner types, and we discriminate between product innovation failures and process innovation failures. Using German Community Innovation Survey data we find that, firstly, each type of R&D cooperation partner has a different effect on innovation failures. Secondly, we show that product innovation failures and process innovation failures are not affected in equal measure by the same type of R&D cooperation partner. Our results suggest that while R&D cooperation with public research institutes is significantly and negatively related to the probability to cancel a process innovation project, the coefficient is positive but insignificant for product innovation failures. Firms conducting partnerships with suppliers, however, run the risk of both product and process innovation failures. In turn, cooperation with competitors is positively correlated only to process innovation failures.
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