Sales technology usage: Modeling the role of support service, peer usage, perceived usefulness and attitude
PurposeThe purpose of this paper is to model the key influencers or predictors for usage of technology by sales professionals in India.Design/methodology/approachThis study examines the effect of individual, organizational and social factors on the use of technology. The method used for primary rese...
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Veröffentlicht in: | Asia Pacific journal of marketing and logistics 2018-01, Vol.30 (1), p.257-271 |
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creator | Upadhyay, Ashwani Kumar Khandelwal, Komal Nandan, Tanuj Mishra, Prashant |
description | PurposeThe purpose of this paper is to model the key influencers or predictors for usage of technology by sales professionals in India.Design/methodology/approachThis study examines the effect of individual, organizational and social factors on the use of technology. The method used for primary research is survey, and data have been collected from 556 sales professionals from across four industries in India. The empirical analysis consists of confirmatory factor analysis using structural equation modeling.FindingsConfirmatory factor analysis has been used to validate the constructs, namely, peer usage, support service, perceived usefulness, attitude, usage and performance. Based on the results, it has been concluded that attitude and peer usage have a direct effect on the use of technology. Support service affects peer usage and perceived usefulness affects attitude. This model helps us understand the direct and indirect predictors of use of sales technology (ST), and its effect on sales performance.Research limitations/implicationsThe limitation of this study is that data pertain to India only.Practical implicationsThe findings of this paper will help sales managers and organizations develop strategies to increase the acceptance and use of new technologies, and also strengthen their arguments for convincing the various stakeholders about the benefits and relevance of the ST.Originality/valueThe paper attempts to build and validate a parsimonious model taking into account peer usage (social factor) and support service (organizational factor) in addition to perceived usefulness and attitude. |
doi_str_mv | 10.1108/APJML-01-2017-0001 |
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The method used for primary research is survey, and data have been collected from 556 sales professionals from across four industries in India. The empirical analysis consists of confirmatory factor analysis using structural equation modeling.FindingsConfirmatory factor analysis has been used to validate the constructs, namely, peer usage, support service, perceived usefulness, attitude, usage and performance. Based on the results, it has been concluded that attitude and peer usage have a direct effect on the use of technology. Support service affects peer usage and perceived usefulness affects attitude. This model helps us understand the direct and indirect predictors of use of sales technology (ST), and its effect on sales performance.Research limitations/implicationsThe limitation of this study is that data pertain to India only.Practical implicationsThe findings of this paper will help sales managers and organizations develop strategies to increase the acceptance and use of new technologies, and also strengthen their arguments for convincing the various stakeholders about the benefits and relevance of the ST.Originality/valueThe paper attempts to build and validate a parsimonious model taking into account peer usage (social factor) and support service (organizational factor) in addition to perceived usefulness and attitude.</description><identifier>ISSN: 1355-5855</identifier><identifier>EISSN: 1758-4248</identifier><identifier>DOI: 10.1108/APJML-01-2017-0001</identifier><language>eng</language><publisher>Patrington: Emerald Group Publishing Limited</publisher><subject>Employees ; Perceptions ; Personal selling ; Sales management ; Salesforce automation ; Salespeople ; Social networks ; Structural equation modeling ; Studies ; Technology ; Technology Acceptance Model ; Technology adoption ; Theory of planned behavior ; User services</subject><ispartof>Asia Pacific journal of marketing and logistics, 2018-01, Vol.30 (1), p.257-271</ispartof><rights>Emerald Publishing Limited 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c226t-98e00d692d9f52bbd054c59665984be71235dc7e6de288bb0420d0ee680d60483</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,967,27924,27925</link.rule.ids></links><search><creatorcontrib>Upadhyay, Ashwani Kumar</creatorcontrib><creatorcontrib>Khandelwal, Komal</creatorcontrib><creatorcontrib>Nandan, Tanuj</creatorcontrib><creatorcontrib>Mishra, Prashant</creatorcontrib><title>Sales technology usage: Modeling the role of support service, peer usage, perceived usefulness and attitude</title><title>Asia Pacific journal of marketing and logistics</title><description>PurposeThe purpose of this paper is to model the key influencers or predictors for usage of technology by sales professionals in India.Design/methodology/approachThis study examines the effect of individual, organizational and social factors on the use of technology. The method used for primary research is survey, and data have been collected from 556 sales professionals from across four industries in India. The empirical analysis consists of confirmatory factor analysis using structural equation modeling.FindingsConfirmatory factor analysis has been used to validate the constructs, namely, peer usage, support service, perceived usefulness, attitude, usage and performance. Based on the results, it has been concluded that attitude and peer usage have a direct effect on the use of technology. Support service affects peer usage and perceived usefulness affects attitude. This model helps us understand the direct and indirect predictors of use of sales technology (ST), and its effect on sales performance.Research limitations/implicationsThe limitation of this study is that data pertain to India only.Practical implicationsThe findings of this paper will help sales managers and organizations develop strategies to increase the acceptance and use of new technologies, and also strengthen their arguments for convincing the various stakeholders about the benefits and relevance of the ST.Originality/valueThe paper attempts to build and validate a parsimonious model taking into account peer usage (social factor) and support service (organizational factor) in addition to perceived usefulness and attitude.</description><subject>Employees</subject><subject>Perceptions</subject><subject>Personal selling</subject><subject>Sales management</subject><subject>Salesforce automation</subject><subject>Salespeople</subject><subject>Social networks</subject><subject>Structural equation modeling</subject><subject>Studies</subject><subject>Technology</subject><subject>Technology Acceptance Model</subject><subject>Technology adoption</subject><subject>Theory of planned behavior</subject><subject>User services</subject><issn>1355-5855</issn><issn>1758-4248</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNotjzFPwzAQRi0EEqWwMjBVYjbcXWzHHqsKCigIJGC2kvhSqEJT4nTov8ehTPcN7-67J8QVwg0i2Nv569NzIQElAeYSAPBITDDXVipS9jjlTGuprdan4izGdQIQCCfi8q1sOc4Grj83Xdut9rNdLFd8Lk6aso188T-n4uP-7n3xIIuX5eNiXsiayAzSWQYIxlFwjaaqCqBVrZ0x2llVcY6U6VDnbAKTtVUFiiAAs7FpC5TNpuL6cHfbdz87joNfd7t-kyo9uvQtmZyyRNGBqvsuxp4bv-2_vst-7xH86O___D2gH_396J_9Ag3TSyM</recordid><startdate>20180101</startdate><enddate>20180101</enddate><creator>Upadhyay, Ashwani Kumar</creator><creator>Khandelwal, Komal</creator><creator>Nandan, Tanuj</creator><creator>Mishra, Prashant</creator><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>7RO</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>8AO</scope><scope>AFKRA</scope><scope>AXJJW</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F~G</scope><scope>K6~</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20180101</creationdate><title>Sales technology usage</title><author>Upadhyay, Ashwani Kumar ; Khandelwal, Komal ; Nandan, Tanuj ; Mishra, Prashant</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c226t-98e00d692d9f52bbd054c59665984be71235dc7e6de288bb0420d0ee680d60483</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Employees</topic><topic>Perceptions</topic><topic>Personal selling</topic><topic>Sales management</topic><topic>Salesforce automation</topic><topic>Salespeople</topic><topic>Social networks</topic><topic>Structural equation modeling</topic><topic>Studies</topic><topic>Technology</topic><topic>Technology Acceptance Model</topic><topic>Technology adoption</topic><topic>Theory of planned behavior</topic><topic>User services</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Upadhyay, Ashwani Kumar</creatorcontrib><creatorcontrib>Khandelwal, Komal</creatorcontrib><creatorcontrib>Nandan, Tanuj</creatorcontrib><creatorcontrib>Mishra, Prashant</creatorcontrib><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>Asian Business Database</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Asian & European Business Collection</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM Global</collection><collection>ProQuest One Business</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Asia Pacific journal of marketing and logistics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Upadhyay, Ashwani Kumar</au><au>Khandelwal, Komal</au><au>Nandan, Tanuj</au><au>Mishra, Prashant</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sales technology usage: Modeling the role of support service, peer usage, perceived usefulness and attitude</atitle><jtitle>Asia Pacific journal of marketing and logistics</jtitle><date>2018-01-01</date><risdate>2018</risdate><volume>30</volume><issue>1</issue><spage>257</spage><epage>271</epage><pages>257-271</pages><issn>1355-5855</issn><eissn>1758-4248</eissn><abstract>PurposeThe purpose of this paper is to model the key influencers or predictors for usage of technology by sales professionals in India.Design/methodology/approachThis study examines the effect of individual, organizational and social factors on the use of technology. The method used for primary research is survey, and data have been collected from 556 sales professionals from across four industries in India. The empirical analysis consists of confirmatory factor analysis using structural equation modeling.FindingsConfirmatory factor analysis has been used to validate the constructs, namely, peer usage, support service, perceived usefulness, attitude, usage and performance. Based on the results, it has been concluded that attitude and peer usage have a direct effect on the use of technology. Support service affects peer usage and perceived usefulness affects attitude. 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subjects | Employees Perceptions Personal selling Sales management Salesforce automation Salespeople Social networks Structural equation modeling Studies Technology Technology Acceptance Model Technology adoption Theory of planned behavior User services |
title | Sales technology usage: Modeling the role of support service, peer usage, perceived usefulness and attitude |
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