就业前工作动机在预测零工经济中自愿销售人员流动中的重要性

IF 2 4区 管理学 Q3 BUSINESS
R. Peterson, Victoria L. Crittenden
{"title":"就业前工作动机在预测零工经济中自愿销售人员流动中的重要性","authors":"R. Peterson, Victoria L. Crittenden","doi":"10.1080/1051712X.2023.2252436","DOIUrl":null,"url":null,"abstract":"ABSTRACT Purpose Given the considerable visible and hidden costs associated with voluntary job turnover and the fact that independent contract workers (“gig workers”) can change jobs with ease, it is imperative for managers and scholars to understand the reasons why someone joins a company in an effort to hire workers who will stay with the company longer. Method A commercial research panel company, Dynata, was used to collect data from current and former independent contract workers. After a rigorous screening protocol, data were collected retrospectively from 495 current and 456 former direct sellers, since direct selling is one of the oldest forms and largest categories of gig work. A binary logistic regression analysis enabled prediction of voluntary job turnover based on the number of reasons for joining the company. Findings Findings from statistical analysis of the reasons for joining a company showed that the greater the number of reasons given for joining, the greater the likelihood of staying with the company. Additionally, statistically significant differences were observed between the current and former direct sellers for nine of the 12 reasons investigated. Importantly, from a predictive modeling perspective, it was possible to predict whether a direct seller would stay with the company or quit the company based on the number of reasons for joining the company. Implications The research has implications for both theory and practice. Utilizing theoretical underpinnings from organizational and behavioral management literatures, pre- and post-employment variables establish the framework for pursuing a better understanding of pre-employment motives for joining a company. Despite calls for more research on individual differences in joining a company, past research efforts may have been hindered by the failure to explore new approaches, new agendas, and new methodologies. Theoretically, the research shows that there is a need to ensure the inclusion of pre-employment motive constructs in examining the construct of voluntary job turnover. Managerially, the cost of turnover is significant, and this is particularly true for salesforce turnover. Reducing the rate of voluntary salesforce turnover even by a small percentage could (1) lead to greater effectiveness, efficiency, and profitability for companies, (2) result in less time invested in a job for which an individual is not necessarily motivated to pursue successfully long-term, and (3) ensure consistent product and service delivery for customers. Originality Little is known about gig workers, and this research project focuses on one of the original gig workforce cadres, direct selling. Additionally, this research is unique in its approach to collecting data retrospectively from current and former independent contract workers as well as in the predictive abilities offered by the data and subsequent statistical modeling.","PeriodicalId":46235,"journal":{"name":"Journal of Business-To-Business Marketing","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Importance of Pre-employment Job Motives in Predicting Voluntary Salesforce Turnover in the Gig Economy\",\"authors\":\"R. Peterson, Victoria L. Crittenden\",\"doi\":\"10.1080/1051712X.2023.2252436\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Purpose Given the considerable visible and hidden costs associated with voluntary job turnover and the fact that independent contract workers (“gig workers”) can change jobs with ease, it is imperative for managers and scholars to understand the reasons why someone joins a company in an effort to hire workers who will stay with the company longer. Method A commercial research panel company, Dynata, was used to collect data from current and former independent contract workers. After a rigorous screening protocol, data were collected retrospectively from 495 current and 456 former direct sellers, since direct selling is one of the oldest forms and largest categories of gig work. A binary logistic regression analysis enabled prediction of voluntary job turnover based on the number of reasons for joining the company. Findings Findings from statistical analysis of the reasons for joining a company showed that the greater the number of reasons given for joining, the greater the likelihood of staying with the company. Additionally, statistically significant differences were observed between the current and former direct sellers for nine of the 12 reasons investigated. Importantly, from a predictive modeling perspective, it was possible to predict whether a direct seller would stay with the company or quit the company based on the number of reasons for joining the company. Implications The research has implications for both theory and practice. Utilizing theoretical underpinnings from organizational and behavioral management literatures, pre- and post-employment variables establish the framework for pursuing a better understanding of pre-employment motives for joining a company. Despite calls for more research on individual differences in joining a company, past research efforts may have been hindered by the failure to explore new approaches, new agendas, and new methodologies. Theoretically, the research shows that there is a need to ensure the inclusion of pre-employment motive constructs in examining the construct of voluntary job turnover. Managerially, the cost of turnover is significant, and this is particularly true for salesforce turnover. Reducing the rate of voluntary salesforce turnover even by a small percentage could (1) lead to greater effectiveness, efficiency, and profitability for companies, (2) result in less time invested in a job for which an individual is not necessarily motivated to pursue successfully long-term, and (3) ensure consistent product and service delivery for customers. Originality Little is known about gig workers, and this research project focuses on one of the original gig workforce cadres, direct selling. Additionally, this research is unique in its approach to collecting data retrospectively from current and former independent contract workers as well as in the predictive abilities offered by the data and subsequent statistical modeling.\",\"PeriodicalId\":46235,\"journal\":{\"name\":\"Journal of Business-To-Business Marketing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2023-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Business-To-Business Marketing\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1080/1051712X.2023.2252436\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Business-To-Business Marketing","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1080/1051712X.2023.2252436","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

摘要

摘要目的考虑到与自愿离职相关的可观的可见和隐藏成本,以及独立合同工(“零工”)可以轻松跳槽的事实,管理者和学者必须了解为什么有人加入公司是为了雇佣能在公司呆更长时间的工作人员。方法采用商业研究小组公司Dynata对现有和前任独立合同工进行数据收集。经过严格的筛选方案,我们从495名现任和456名前任直销员那里收集了数据,因为直销是最古老的零工形式和最大的类别之一。二元逻辑回归分析能够根据加入公司的原因数量预测自愿离职率。对加入公司原因的统计分析结果表明,加入公司的原因越多,留在公司的可能性就越大。此外,在调查的12个原因中,有9个原因导致现任和前任直销员之间存在统计学上的显著差异。重要的是,从预测建模的角度来看,可以根据加入公司的原因数量来预测直销员是留在公司还是退出公司。启示这项研究对理论和实践都有启示。利用组织和行为管理文献中的理论基础,职前和职后变量建立了一个框架,以更好地理解入职前加入公司的动机。尽管有人呼吁对加入公司的个人差异进行更多的研究,但过去的研究工作可能因未能探索新方法、新议程和新方法而受到阻碍。从理论上讲,研究表明,在考察自愿离职结构时,有必要确保将就业前动机结构纳入其中。从管理角度来说,营业额的成本是巨大的,尤其是对于销售人员的营业额来说。即使将销售人员的自愿离职率降低一小部分,也可以(1)提高公司的效率、效率和盈利能力,(2)减少在个人不一定有动力长期追求成功的工作上投入的时间,(3)确保为客户提供一致的产品和服务。独创性对零工知之甚少,本研究项目的重点是零工干部中的一个,直销。此外,这项研究的独特之处在于其从现任和前任独立合同工中回顾性收集数据的方法,以及数据和随后的统计建模所提供的预测能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Importance of Pre-employment Job Motives in Predicting Voluntary Salesforce Turnover in the Gig Economy
ABSTRACT Purpose Given the considerable visible and hidden costs associated with voluntary job turnover and the fact that independent contract workers (“gig workers”) can change jobs with ease, it is imperative for managers and scholars to understand the reasons why someone joins a company in an effort to hire workers who will stay with the company longer. Method A commercial research panel company, Dynata, was used to collect data from current and former independent contract workers. After a rigorous screening protocol, data were collected retrospectively from 495 current and 456 former direct sellers, since direct selling is one of the oldest forms and largest categories of gig work. A binary logistic regression analysis enabled prediction of voluntary job turnover based on the number of reasons for joining the company. Findings Findings from statistical analysis of the reasons for joining a company showed that the greater the number of reasons given for joining, the greater the likelihood of staying with the company. Additionally, statistically significant differences were observed between the current and former direct sellers for nine of the 12 reasons investigated. Importantly, from a predictive modeling perspective, it was possible to predict whether a direct seller would stay with the company or quit the company based on the number of reasons for joining the company. Implications The research has implications for both theory and practice. Utilizing theoretical underpinnings from organizational and behavioral management literatures, pre- and post-employment variables establish the framework for pursuing a better understanding of pre-employment motives for joining a company. Despite calls for more research on individual differences in joining a company, past research efforts may have been hindered by the failure to explore new approaches, new agendas, and new methodologies. Theoretically, the research shows that there is a need to ensure the inclusion of pre-employment motive constructs in examining the construct of voluntary job turnover. Managerially, the cost of turnover is significant, and this is particularly true for salesforce turnover. Reducing the rate of voluntary salesforce turnover even by a small percentage could (1) lead to greater effectiveness, efficiency, and profitability for companies, (2) result in less time invested in a job for which an individual is not necessarily motivated to pursue successfully long-term, and (3) ensure consistent product and service delivery for customers. Originality Little is known about gig workers, and this research project focuses on one of the original gig workforce cadres, direct selling. Additionally, this research is unique in its approach to collecting data retrospectively from current and former independent contract workers as well as in the predictive abilities offered by the data and subsequent statistical modeling.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.20
自引率
35.70%
发文量
22
期刊介绍: The Journal of Business-to-Business Marketing® encourages diversity in approaches to business marketing theory development, research methods, and managerial problem solving. An editorial board comprised of outstanding, internationally recognized scholars and practitioners ensures that the journal maintains impeccable standards of relevance and rigorous scholarship. The Journal of Business-to-Business Marketing features: •basic and applied research that reflects current business marketing theory, methodology, and practice •articles from leading researchers covering topics of mutual interest for the business and academic communities
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信