首页> 外文期刊>Operations Research >'Cargo cult' science in traditional organization information systems survey research: A case for using nontraditional methods of data collection, including Mechanical Turk and online panels
【24h】

'Cargo cult' science in traditional organization information systems survey research: A case for using nontraditional methods of data collection, including Mechanical Turk and online panels

机译:传统组织信息系统调查研究中的“货运邪教”科学:使用非传统数据收集方法(包括机械土耳其人和在线小组)的案例

获取原文
获取原文并翻译 | 示例
       

摘要

This paper evaluates information technology (IT) employees on service christened as internal IT service perceptions. The article uses MTurk as an online source of data to access many IT employees. Three contentions are set forth that lie beyond contradistinction between shared and individual cognition. First is that MTurk samples are spread geographically and on backgrounds compared to a sample within an organization. These differences make the data biased and not applicable in the context of the organization. Third due to broad variability, the outcomes can be generalized, but are not specific. These criticisms are not standing since many traditional researchers reject new approaches and support traditional paper-based data collection simply because they are used to it. It is worth mentioning that the drawbacks highlighted by traditionalists are valid for paper-based data collection also. Just because one practice is accepted in the past doesn't mean improvements cannot be considered. Researchers should adopt more scientific methods in data collection. Many arguments are similar to ones faced by online surveys when first introduced. The article refutes criticisms against MTurk and provides scientific guidelines for using it. (52 refs.)
机译:本文对信息技术(IT)员工的服务进行了评估,这些员工被称为内部IT服务感知。本文使用MTurk作为在线数据源来访问许多IT员工。提出了三个争论,超越了共享认知和个人认知之间的矛盾。首先,与组织内的样本相比,MTurk样本在地理上和背景上分布。这些差异使数据存在偏差,并且不适用于组织环境。第三,由于广泛的可变性,结果可以被概括,但不是特定的。这些批评并不成立,因为许多传统研究人员拒绝新方法,仅因为习惯了基于纸张的数据收集而支持传统的基于纸张的数据收集。值得一提的是,传统主义者强调的缺点也适用于基于纸张的数据收集。仅仅因为过去接受一种实践并不意味着就不能考虑改进。研究人员应在数据收集中采用更科学的方法。许多论点与首次引入时在线调查所面临的论点相似。这篇文章驳斥了对MTurk的批评,并提供了使用它的科学指导。 (52参考)

著录项

  • 来源
    《Operations Research》 |2018年第6期|567-568|共2页
  • 作者单位

    Innovation and Information Management, School of Business, Faculty of Business and Economics, K. K. Leung Building, University of Hong Kong, China;

    Accounting And MIS, University of Delaware, 220 Purnell Hall, Newark, DE 19716;

    Management Science and Information Systems, 222 Business Bdg., Stillwater Campus, Spears School of Business, Oklahoma State University, Stillwater, OK 74078;

    Department of Management Information Systems, 329, BEH, Lee Business School, University of Nevada-Los Vegas, Las Vegas, NV 89154;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 03:54:14

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号