Semantic Processing Theory Could Help Explain the Effectiveness of Creativity Incentives: A Numerical Experiment
Two seminal accounting studies find that output creativity is insensitive to creative effort: workers simplify creativity-weighted contracts by focusing on increasing creativity, but they cannot increase output creativity enough to compensate for sacrifices they make to output quantity. Other studie...
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Veröffentlicht in: | Journal of management accounting research 2020-10, Vol.32 (3), p.155-178 |
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description | Two seminal accounting studies find that output creativity is insensitive to creative effort: workers simplify creativity-weighted contracts by focusing on increasing creativity, but they cannot increase output creativity enough to compensate for sacrifices they make to output quantity. Other studies, however, find evidence that output creativity is sensitive to creative effort. To examine these differing results, I use a numerical experiment: I model workers in quantity contracts and creativity-weighted contracts, and I proxy creative effort as workers' choice between fine semantic processing (less creative) and coarse semantic processing (more creative). My numerical experiment's results show (1) output creativity's sensitivity to creative effort when the task is less inherently creative and (2) output creativity's insensitivity to creative effort when the task is more inherently creative. More inherently creative tasks effectively require coarse semantic processing in both contracts, limiting workers' ability to give incrementally more creative effort in response to creativity incentives.
Data Availability: Data are available upon request. |
doi_str_mv | 10.2308/jmar-18-051 |
format | Article |
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Data Availability: Data are available upon request.</description><subject>Accounting</subject><subject>Creativity</subject><subject>Dry cleaners</subject><subject>Employment contracts</subject><subject>Experiments</subject><subject>Human resource management</subject><subject>Productivity</subject><subject>Semantics</subject><issn>1049-2127</issn><issn>1558-8033</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNotkFtLAzEQhYMoWKtP_oGAj7I6uexu1reyVFsoKtj3kE0ndsveTLZi_71Z9GnOcM5c-Ai5ZfDABajHQ2t8wlQCKTsjM5amKlEgxHnUIIuEM55fkqsQDgCMZ6BmZPjA1nRjbem77y2GUHefdLvH3p9o2R-bHV1hM9Dlz9CYuqPjHunSObRj_Y1djNPe0dKjiX09nui6s9hNXniiC_p6bNHX1jTTfFRt9K7JhTNNwJv_Oifb5-W2XCWbt5d1udgkVvBsTFJZpRZ3irMKVJUXBqpCOs5yVEyaCp3cWSkLJ5iwpjLAC2lSyJ0zmeVVJubk7m_t4PuvI4ZRH_qj7-JFzWUmWJ6CgJi6_0tZ34fg0ekhfmn8STPQE1E9EdVM6UhU_AJwL2s6</recordid><startdate>20201001</startdate><enddate>20201001</enddate><creator>Knox, Brian D.</creator><general>American Accounting Association</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-0359-7039</orcidid></search><sort><creationdate>20201001</creationdate><title>Semantic Processing Theory Could Help Explain the Effectiveness of Creativity Incentives: A Numerical Experiment</title><author>Knox, Brian D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-54b5ced821b08b79a0b94f217e814abef4dc449f313caba0294a507ffa6c2b63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Accounting</topic><topic>Creativity</topic><topic>Dry cleaners</topic><topic>Employment contracts</topic><topic>Experiments</topic><topic>Human resource management</topic><topic>Productivity</topic><topic>Semantics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Knox, Brian D.</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of management accounting research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Knox, Brian D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Semantic Processing Theory Could Help Explain the Effectiveness of Creativity Incentives: A Numerical Experiment</atitle><jtitle>Journal of management accounting research</jtitle><date>2020-10-01</date><risdate>2020</risdate><volume>32</volume><issue>3</issue><spage>155</spage><epage>178</epage><pages>155-178</pages><issn>1049-2127</issn><eissn>1558-8033</eissn><abstract>Two seminal accounting studies find that output creativity is insensitive to creative effort: workers simplify creativity-weighted contracts by focusing on increasing creativity, but they cannot increase output creativity enough to compensate for sacrifices they make to output quantity. Other studies, however, find evidence that output creativity is sensitive to creative effort. To examine these differing results, I use a numerical experiment: I model workers in quantity contracts and creativity-weighted contracts, and I proxy creative effort as workers' choice between fine semantic processing (less creative) and coarse semantic processing (more creative). My numerical experiment's results show (1) output creativity's sensitivity to creative effort when the task is less inherently creative and (2) output creativity's insensitivity to creative effort when the task is more inherently creative. More inherently creative tasks effectively require coarse semantic processing in both contracts, limiting workers' ability to give incrementally more creative effort in response to creativity incentives.
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subjects | Accounting Creativity Dry cleaners Employment contracts Experiments Human resource management Productivity Semantics |
title | Semantic Processing Theory Could Help Explain the Effectiveness of Creativity Incentives: A Numerical Experiment |
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