Internet Incidence on SMÉs Sales : A Propensity Score Matching Analysis
The purpose of this paper is to determine how much is the ́ʺbonuś or ́ʺprizé to the sales per worker of Internet-using firms compared to not Internet-using firms. The author employs matching techniques based on an Argentinean database. The author first presents a binary logit model, in which the dep...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Alderete, Mari§a Vero§nica [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2013 |
|---|
| Umfang: |
1 Online-Ressource |
|---|
| Übergeordnetes Werk: |
Enthalten in: Information resources management journal - Hershey, Pa : Idea Group Publ, 1988, 26(2013), 3, Seite 40-54 |
|---|---|
| Übergeordnetes Werk: |
volume:26 ; year:2013 ; number:3 ; pages:40-54 |
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|---|
| DOI / URN: |
10.4018/irmj.2013070103 |
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NLEJ251840670 |
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10.4018/irmj.2013070103 doi (DE-627)NLEJ251840670 (VZGNL)10.4018/irmj.2013070103 DE-627 ger DE-627 rakwb eng Alderete, Mari§a Vero§nica verfasserin aut Internet Incidence on SMÉs Sales A Propensity Score Matching Analysis 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The purpose of this paper is to determine how much is the ́ʺbonuś or ́ʺprizé to the sales per worker of Internet-using firms compared to not Internet-using firms. The author employs matching techniques based on an Argentinean database. The author first presents a binary logit model, in which the dependent variable is a dichotomous variable equal to 1 if the firm adopted Internet and 0 otherwise, to evaluate the factors that influence a firḿs probability of adopting Internet. A propensity score matching (PSM) model is then used to assess the impact of using Internet on the sales per worker. The author finds statically significant differences in the sales average between firms that are similar in many dimensions such as location, size, and sales market except for the Internet adoption decision. By probing that Internet access improves SMÉs sales, the author is validating the Public Sector ICT modernization programs for SME. The contribution of this paper consists of using a well known technique as PSM to analyze a recent field of research which is the contribution of Internet adoption to the firḿs sales per worker Information and Communication Technologies (ICT) Internet Adoption Productivity Propensity Score Matching (PSM) Small and Medium Enterprises (SME) Enthalten in Information resources management journal Hershey, Pa : Idea Group Publ, 1988 26(2013), 3, Seite 40-54 Online-Ressource (DE-627)NLEJ244419922 (DE-600)2069584-6 1533-7979 nnns volume:26 year:2013 number:3 pages:40-54 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/irmj.2013070103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/irmj.2013070103&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 26 2013 3 40-54 |
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10.4018/irmj.2013070103 doi (DE-627)NLEJ251840670 (VZGNL)10.4018/irmj.2013070103 DE-627 ger DE-627 rakwb eng Alderete, Mari§a Vero§nica verfasserin aut Internet Incidence on SMÉs Sales A Propensity Score Matching Analysis 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The purpose of this paper is to determine how much is the ́ʺbonuś or ́ʺprizé to the sales per worker of Internet-using firms compared to not Internet-using firms. The author employs matching techniques based on an Argentinean database. The author first presents a binary logit model, in which the dependent variable is a dichotomous variable equal to 1 if the firm adopted Internet and 0 otherwise, to evaluate the factors that influence a firḿs probability of adopting Internet. A propensity score matching (PSM) model is then used to assess the impact of using Internet on the sales per worker. The author finds statically significant differences in the sales average between firms that are similar in many dimensions such as location, size, and sales market except for the Internet adoption decision. By probing that Internet access improves SMÉs sales, the author is validating the Public Sector ICT modernization programs for SME. The contribution of this paper consists of using a well known technique as PSM to analyze a recent field of research which is the contribution of Internet adoption to the firḿs sales per worker Information and Communication Technologies (ICT) Internet Adoption Productivity Propensity Score Matching (PSM) Small and Medium Enterprises (SME) Enthalten in Information resources management journal Hershey, Pa : Idea Group Publ, 1988 26(2013), 3, Seite 40-54 Online-Ressource (DE-627)NLEJ244419922 (DE-600)2069584-6 1533-7979 nnns volume:26 year:2013 number:3 pages:40-54 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/irmj.2013070103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/irmj.2013070103&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 26 2013 3 40-54 |
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10.4018/irmj.2013070103 doi (DE-627)NLEJ251840670 (VZGNL)10.4018/irmj.2013070103 DE-627 ger DE-627 rakwb eng Alderete, Mari§a Vero§nica verfasserin aut Internet Incidence on SMÉs Sales A Propensity Score Matching Analysis 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The purpose of this paper is to determine how much is the ́ʺbonuś or ́ʺprizé to the sales per worker of Internet-using firms compared to not Internet-using firms. The author employs matching techniques based on an Argentinean database. The author first presents a binary logit model, in which the dependent variable is a dichotomous variable equal to 1 if the firm adopted Internet and 0 otherwise, to evaluate the factors that influence a firḿs probability of adopting Internet. A propensity score matching (PSM) model is then used to assess the impact of using Internet on the sales per worker. The author finds statically significant differences in the sales average between firms that are similar in many dimensions such as location, size, and sales market except for the Internet adoption decision. By probing that Internet access improves SMÉs sales, the author is validating the Public Sector ICT modernization programs for SME. The contribution of this paper consists of using a well known technique as PSM to analyze a recent field of research which is the contribution of Internet adoption to the firḿs sales per worker Information and Communication Technologies (ICT) Internet Adoption Productivity Propensity Score Matching (PSM) Small and Medium Enterprises (SME) Enthalten in Information resources management journal Hershey, Pa : Idea Group Publ, 1988 26(2013), 3, Seite 40-54 Online-Ressource (DE-627)NLEJ244419922 (DE-600)2069584-6 1533-7979 nnns volume:26 year:2013 number:3 pages:40-54 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/irmj.2013070103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/irmj.2013070103&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 26 2013 3 40-54 |
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10.4018/irmj.2013070103 doi (DE-627)NLEJ251840670 (VZGNL)10.4018/irmj.2013070103 DE-627 ger DE-627 rakwb eng Alderete, Mari§a Vero§nica verfasserin aut Internet Incidence on SMÉs Sales A Propensity Score Matching Analysis 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The purpose of this paper is to determine how much is the ́ʺbonuś or ́ʺprizé to the sales per worker of Internet-using firms compared to not Internet-using firms. The author employs matching techniques based on an Argentinean database. The author first presents a binary logit model, in which the dependent variable is a dichotomous variable equal to 1 if the firm adopted Internet and 0 otherwise, to evaluate the factors that influence a firḿs probability of adopting Internet. A propensity score matching (PSM) model is then used to assess the impact of using Internet on the sales per worker. The author finds statically significant differences in the sales average between firms that are similar in many dimensions such as location, size, and sales market except for the Internet adoption decision. By probing that Internet access improves SMÉs sales, the author is validating the Public Sector ICT modernization programs for SME. The contribution of this paper consists of using a well known technique as PSM to analyze a recent field of research which is the contribution of Internet adoption to the firḿs sales per worker Information and Communication Technologies (ICT) Internet Adoption Productivity Propensity Score Matching (PSM) Small and Medium Enterprises (SME) Enthalten in Information resources management journal Hershey, Pa : Idea Group Publ, 1988 26(2013), 3, Seite 40-54 Online-Ressource (DE-627)NLEJ244419922 (DE-600)2069584-6 1533-7979 nnns volume:26 year:2013 number:3 pages:40-54 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/irmj.2013070103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/irmj.2013070103&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 26 2013 3 40-54 |
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10.4018/irmj.2013070103 doi (DE-627)NLEJ251840670 (VZGNL)10.4018/irmj.2013070103 DE-627 ger DE-627 rakwb eng Alderete, Mari§a Vero§nica verfasserin aut Internet Incidence on SMÉs Sales A Propensity Score Matching Analysis 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The purpose of this paper is to determine how much is the ́ʺbonuś or ́ʺprizé to the sales per worker of Internet-using firms compared to not Internet-using firms. The author employs matching techniques based on an Argentinean database. The author first presents a binary logit model, in which the dependent variable is a dichotomous variable equal to 1 if the firm adopted Internet and 0 otherwise, to evaluate the factors that influence a firḿs probability of adopting Internet. A propensity score matching (PSM) model is then used to assess the impact of using Internet on the sales per worker. The author finds statically significant differences in the sales average between firms that are similar in many dimensions such as location, size, and sales market except for the Internet adoption decision. By probing that Internet access improves SMÉs sales, the author is validating the Public Sector ICT modernization programs for SME. The contribution of this paper consists of using a well known technique as PSM to analyze a recent field of research which is the contribution of Internet adoption to the firḿs sales per worker Information and Communication Technologies (ICT) Internet Adoption Productivity Propensity Score Matching (PSM) Small and Medium Enterprises (SME) Enthalten in Information resources management journal Hershey, Pa : Idea Group Publ, 1988 26(2013), 3, Seite 40-54 Online-Ressource (DE-627)NLEJ244419922 (DE-600)2069584-6 1533-7979 nnns volume:26 year:2013 number:3 pages:40-54 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/irmj.2013070103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/irmj.2013070103&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 26 2013 3 40-54 |
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The purpose of this paper is to determine how much is the ́ʺbonuś or ́ʺprizé to the sales per worker of Internet-using firms compared to not Internet-using firms. The author employs matching techniques based on an Argentinean database. The author first presents a binary logit model, in which the dependent variable is a dichotomous variable equal to 1 if the firm adopted Internet and 0 otherwise, to evaluate the factors that influence a firḿs probability of adopting Internet. A propensity score matching (PSM) model is then used to assess the impact of using Internet on the sales per worker. The author finds statically significant differences in the sales average between firms that are similar in many dimensions such as location, size, and sales market except for the Internet adoption decision. By probing that Internet access improves SMÉs sales, the author is validating the Public Sector ICT modernization programs for SME. The contribution of this paper consists of using a well known technique as PSM to analyze a recent field of research which is the contribution of Internet adoption to the firḿs sales per worker |
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The purpose of this paper is to determine how much is the ́ʺbonuś or ́ʺprizé to the sales per worker of Internet-using firms compared to not Internet-using firms. The author employs matching techniques based on an Argentinean database. The author first presents a binary logit model, in which the dependent variable is a dichotomous variable equal to 1 if the firm adopted Internet and 0 otherwise, to evaluate the factors that influence a firḿs probability of adopting Internet. A propensity score matching (PSM) model is then used to assess the impact of using Internet on the sales per worker. The author finds statically significant differences in the sales average between firms that are similar in many dimensions such as location, size, and sales market except for the Internet adoption decision. By probing that Internet access improves SMÉs sales, the author is validating the Public Sector ICT modernization programs for SME. The contribution of this paper consists of using a well known technique as PSM to analyze a recent field of research which is the contribution of Internet adoption to the firḿs sales per worker |
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The purpose of this paper is to determine how much is the ́ʺbonuś or ́ʺprizé to the sales per worker of Internet-using firms compared to not Internet-using firms. The author employs matching techniques based on an Argentinean database. The author first presents a binary logit model, in which the dependent variable is a dichotomous variable equal to 1 if the firm adopted Internet and 0 otherwise, to evaluate the factors that influence a firḿs probability of adopting Internet. A propensity score matching (PSM) model is then used to assess the impact of using Internet on the sales per worker. The author finds statically significant differences in the sales average between firms that are similar in many dimensions such as location, size, and sales market except for the Internet adoption decision. By probing that Internet access improves SMÉs sales, the author is validating the Public Sector ICT modernization programs for SME. The contribution of this paper consists of using a well known technique as PSM to analyze a recent field of research which is the contribution of Internet adoption to the firḿs sales per worker |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ251840670</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20231205144034.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">231128s2013 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/irmj.2013070103</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ251840670</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(VZGNL)10.4018/irmj.2013070103</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Alderete, Mari§a Vero§nica</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Internet Incidence on SMÉs Sales</subfield><subfield code="b">A Propensity Score Matching Analysis</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2013</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The purpose of this paper is to determine how much is the ́ʺbonuś or ́ʺprizé to the sales per worker of Internet-using firms compared to not Internet-using firms. The author employs matching techniques based on an Argentinean database. The author first presents a binary logit model, in which the dependent variable is a dichotomous variable equal to 1 if the firm adopted Internet and 0 otherwise, to evaluate the factors that influence a firḿs probability of adopting Internet. A propensity score matching (PSM) model is then used to assess the impact of using Internet on the sales per worker. The author finds statically significant differences in the sales average between firms that are similar in many dimensions such as location, size, and sales market except for the Internet adoption decision. By probing that Internet access improves SMÉs sales, the author is validating the Public Sector ICT modernization programs for SME. The contribution of this paper consists of using a well known technique as PSM to analyze a recent field of research which is the contribution of Internet adoption to the firḿs sales per worker</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Information and Communication Technologies (ICT)</subfield><subfield code="a">Internet Adoption</subfield><subfield code="a">Productivity</subfield><subfield code="a">Propensity Score Matching (PSM)</subfield><subfield code="a">Small and Medium Enterprises (SME)</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Information resources management journal</subfield><subfield code="d">Hershey, Pa : Idea Group Publ, 1988</subfield><subfield code="g">26(2013), 3, Seite 40-54</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ244419922</subfield><subfield code="w">(DE-600)2069584-6</subfield><subfield code="x">1533-7979</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:26</subfield><subfield code="g">year:2013</subfield><subfield code="g">number:3</subfield><subfield code="g">pages:40-54</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/irmj.2013070103</subfield><subfield code="m">X:IGIG</subfield><subfield code="x">Verlag</subfield><subfield code="z">Deutschlandweit zugänglich</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/irmj.2013070103&buylink=true</subfield><subfield code="3">Abstract</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-GIS</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">26</subfield><subfield code="j">2013</subfield><subfield code="e">3</subfield><subfield code="h">40-54</subfield></datafield></record></collection>
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