Consumer optimization problem solving:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New Jersey
World Scientific
[2015]
2015 |
| Schlagworte: | |
| Online-Zugang: | FLA01 |
| Beschreibung: | Print version record |
| Beschreibung: | 1 online resource |
| ISBN: | 9789814635295 9814635294 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV045358053 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 181212s2015 |||| o||u| ||||||eng d | ||
| 020 | |a 9789814635295 |9 978-981-4635-29-5 | ||
| 020 | |a 9814635294 |9 981-4635-29-4 | ||
| 035 | |a (ZDB-4-EBU)ocn900633243 | ||
| 035 | |a (OCoLC)900633243 | ||
| 035 | |a (DE-599)BVBBV045358053 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 082 | 0 | |a 658.4/03 |2 23 | |
| 100 | 1 | |a Norman, A. L. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Consumer optimization problem solving |c Alfred L Norman, the University of Texas at Austin, USA. |
| 264 | 1 | |a New Jersey |b World Scientific |c [2015] | |
| 264 | 1 | |c 2015 | |
| 300 | |a 1 online resource | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Print version record | ||
| 505 | 8 | |a What algorithms are tractable depends on the speed of the processor. Given the speed of digital computers, polynomial algorithms are considered tractable. But, a human can take several seconds to make one binary comparison between two pens. Given this slow speed, sublinear algorithms are considered tractable for an unaided human and this defines Simon's concept of bounded rationality. Humans make simplifications to solve the intractable consumer optimization problem. Consumers search for goods and services item-by-item, which greatly reduces the number of alternatives to consider. In addition, consumers have operators that can process a set in a single operation. Also, consumers budget by incremental adjustment. In considering consumer performance the question to ask is how close to optimal is consumer performance and not whether consumers optimize as a yes/no question. Given the ordinal nature of utility theory this creates a basic measurement problem. The book presents a review of the literature on consumer performance. This is an opportune time to study consumer procedures because the Internet provides a media to make substantial improvements in consumer performance. The book includes a case study comparing the performance of a digital camera selection code with the advice of sales people. A field experiment demonstrates that the software code provides better advice | |
| 650 | 7 | |a BUSINESS & ECONOMICS / Industrial Management |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS / Management |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS / Management Science |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS / Organizational Behavior |2 bisacsh | |
| 650 | 7 | |a Consumer behavior / Econometric models |2 fast | |
| 650 | 7 | |a Consumption (Economics) / Econometric models |2 fast | |
| 650 | 4 | |a Consumer behavior |x Econometric models |a Consumption (Economics) |x Econometric models | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Norman, A. L. (Alfred L.) |t Consumer optimization problem solving |z 9789814635288 |
| 912 | |a ZDB-4-EBU | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-030744645 | ||
| 966 | e | |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=942161 |l FLA01 |p ZDB-4-EBU |q FLA_PDA_EBU |x Aggregator |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804179189082882048 |
|---|---|
| any_adam_object | |
| author | Norman, A. L. |
| author_facet | Norman, A. L. |
| author_role | aut |
| author_sort | Norman, A. L. |
| author_variant | a l n al aln |
| building | Verbundindex |
| bvnumber | BV045358053 |
| collection | ZDB-4-EBU |
| contents | What algorithms are tractable depends on the speed of the processor. Given the speed of digital computers, polynomial algorithms are considered tractable. But, a human can take several seconds to make one binary comparison between two pens. Given this slow speed, sublinear algorithms are considered tractable for an unaided human and this defines Simon's concept of bounded rationality. Humans make simplifications to solve the intractable consumer optimization problem. Consumers search for goods and services item-by-item, which greatly reduces the number of alternatives to consider. In addition, consumers have operators that can process a set in a single operation. Also, consumers budget by incremental adjustment. In considering consumer performance the question to ask is how close to optimal is consumer performance and not whether consumers optimize as a yes/no question. Given the ordinal nature of utility theory this creates a basic measurement problem. The book presents a review of the literature on consumer performance. This is an opportune time to study consumer procedures because the Internet provides a media to make substantial improvements in consumer performance. The book includes a case study comparing the performance of a digital camera selection code with the advice of sales people. A field experiment demonstrates that the software code provides better advice |
| ctrlnum | (ZDB-4-EBU)ocn900633243 (OCoLC)900633243 (DE-599)BVBBV045358053 |
| dewey-full | 658.4/03 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.4/03 |
| dewey-search | 658.4/03 |
| dewey-sort | 3658.4 13 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03120nmm a2200433zc 4500</leader><controlfield tag="001">BV045358053</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">181212s2015 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9789814635295</subfield><subfield code="9">978-981-4635-29-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9814635294</subfield><subfield code="9">981-4635-29-4</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-4-EBU)ocn900633243</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)900633243</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045358053</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">658.4/03</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Norman, A. L.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Consumer optimization problem solving</subfield><subfield code="c">Alfred L Norman, the University of Texas at Austin, USA.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New Jersey</subfield><subfield code="b">World Scientific</subfield><subfield code="c">[2015]</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Print version record</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">What algorithms are tractable depends on the speed of the processor. Given the speed of digital computers, polynomial algorithms are considered tractable. But, a human can take several seconds to make one binary comparison between two pens. Given this slow speed, sublinear algorithms are considered tractable for an unaided human and this defines Simon's concept of bounded rationality. Humans make simplifications to solve the intractable consumer optimization problem. Consumers search for goods and services item-by-item, which greatly reduces the number of alternatives to consider. In addition, consumers have operators that can process a set in a single operation. Also, consumers budget by incremental adjustment. In considering consumer performance the question to ask is how close to optimal is consumer performance and not whether consumers optimize as a yes/no question. Given the ordinal nature of utility theory this creates a basic measurement problem. The book presents a review of the literature on consumer performance. This is an opportune time to study consumer procedures because the Internet provides a media to make substantial improvements in consumer performance. The book includes a case study comparing the performance of a digital camera selection code with the advice of sales people. A field experiment demonstrates that the software code provides better advice</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">BUSINESS & ECONOMICS / Industrial Management</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">BUSINESS & ECONOMICS / Management</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">BUSINESS & ECONOMICS / Management Science</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">BUSINESS & ECONOMICS / Organizational Behavior</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Consumer behavior / Econometric models</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Consumption (Economics) / Econometric models</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Consumer behavior</subfield><subfield code="x">Econometric models</subfield><subfield code="a">Consumption (Economics)</subfield><subfield code="x">Econometric models</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">Norman, A. L. (Alfred L.)</subfield><subfield code="t">Consumer optimization problem solving</subfield><subfield code="z">9789814635288</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-EBU</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030744645</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=942161</subfield><subfield code="l">FLA01</subfield><subfield code="p">ZDB-4-EBU</subfield><subfield code="q">FLA_PDA_EBU</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV045358053 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:15:54Z |
| institution | BVB |
| isbn | 9789814635295 9814635294 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030744645 |
| oclc_num | 900633243 |
| open_access_boolean | |
| physical | 1 online resource |
| psigel | ZDB-4-EBU ZDB-4-EBU FLA_PDA_EBU |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | World Scientific |
| record_format | marc |
| spelling | Norman, A. L. Verfasser aut Consumer optimization problem solving Alfred L Norman, the University of Texas at Austin, USA. New Jersey World Scientific [2015] 2015 1 online resource txt rdacontent c rdamedia cr rdacarrier Print version record What algorithms are tractable depends on the speed of the processor. Given the speed of digital computers, polynomial algorithms are considered tractable. But, a human can take several seconds to make one binary comparison between two pens. Given this slow speed, sublinear algorithms are considered tractable for an unaided human and this defines Simon's concept of bounded rationality. Humans make simplifications to solve the intractable consumer optimization problem. Consumers search for goods and services item-by-item, which greatly reduces the number of alternatives to consider. In addition, consumers have operators that can process a set in a single operation. Also, consumers budget by incremental adjustment. In considering consumer performance the question to ask is how close to optimal is consumer performance and not whether consumers optimize as a yes/no question. Given the ordinal nature of utility theory this creates a basic measurement problem. The book presents a review of the literature on consumer performance. This is an opportune time to study consumer procedures because the Internet provides a media to make substantial improvements in consumer performance. The book includes a case study comparing the performance of a digital camera selection code with the advice of sales people. A field experiment demonstrates that the software code provides better advice BUSINESS & ECONOMICS / Industrial Management bisacsh BUSINESS & ECONOMICS / Management bisacsh BUSINESS & ECONOMICS / Management Science bisacsh BUSINESS & ECONOMICS / Organizational Behavior bisacsh Consumer behavior / Econometric models fast Consumption (Economics) / Econometric models fast Consumer behavior Econometric models Consumption (Economics) Econometric models Erscheint auch als Druck-Ausgabe Norman, A. L. (Alfred L.) Consumer optimization problem solving 9789814635288 |
| spellingShingle | Norman, A. L. Consumer optimization problem solving What algorithms are tractable depends on the speed of the processor. Given the speed of digital computers, polynomial algorithms are considered tractable. But, a human can take several seconds to make one binary comparison between two pens. Given this slow speed, sublinear algorithms are considered tractable for an unaided human and this defines Simon's concept of bounded rationality. Humans make simplifications to solve the intractable consumer optimization problem. Consumers search for goods and services item-by-item, which greatly reduces the number of alternatives to consider. In addition, consumers have operators that can process a set in a single operation. Also, consumers budget by incremental adjustment. In considering consumer performance the question to ask is how close to optimal is consumer performance and not whether consumers optimize as a yes/no question. Given the ordinal nature of utility theory this creates a basic measurement problem. The book presents a review of the literature on consumer performance. This is an opportune time to study consumer procedures because the Internet provides a media to make substantial improvements in consumer performance. The book includes a case study comparing the performance of a digital camera selection code with the advice of sales people. A field experiment demonstrates that the software code provides better advice BUSINESS & ECONOMICS / Industrial Management bisacsh BUSINESS & ECONOMICS / Management bisacsh BUSINESS & ECONOMICS / Management Science bisacsh BUSINESS & ECONOMICS / Organizational Behavior bisacsh Consumer behavior / Econometric models fast Consumption (Economics) / Econometric models fast Consumer behavior Econometric models Consumption (Economics) Econometric models |
| title | Consumer optimization problem solving |
| title_auth | Consumer optimization problem solving |
| title_exact_search | Consumer optimization problem solving |
| title_full | Consumer optimization problem solving Alfred L Norman, the University of Texas at Austin, USA. |
| title_fullStr | Consumer optimization problem solving Alfred L Norman, the University of Texas at Austin, USA. |
| title_full_unstemmed | Consumer optimization problem solving Alfred L Norman, the University of Texas at Austin, USA. |
| title_short | Consumer optimization problem solving |
| title_sort | consumer optimization problem solving |
| topic | BUSINESS & ECONOMICS / Industrial Management bisacsh BUSINESS & ECONOMICS / Management bisacsh BUSINESS & ECONOMICS / Management Science bisacsh BUSINESS & ECONOMICS / Organizational Behavior bisacsh Consumer behavior / Econometric models fast Consumption (Economics) / Econometric models fast Consumer behavior Econometric models Consumption (Economics) Econometric models |
| topic_facet | BUSINESS & ECONOMICS / Industrial Management BUSINESS & ECONOMICS / Management BUSINESS & ECONOMICS / Management Science BUSINESS & ECONOMICS / Organizational Behavior Consumer behavior / Econometric models Consumption (Economics) / Econometric models Consumer behavior Econometric models Consumption (Economics) Econometric models |
| work_keys_str_mv | AT normanal consumeroptimizationproblemsolving |