five

Effectuation theory application in evaluating distressed ventures

收藏
DataCite Commons2024-06-21 更新2024-07-13 收录
下载链接:
https://researchdata.up.ac.za/articles/dataset/Effectuation_theory_application_in_evaluating_distressed_ventures/26038933
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset is for a study conducted to better understand the application of effectuation theory when evaluating a distressed venture opportunity (DVO). The data presents answers to four main research questions. The dataset presents the principles of effectuation relevant to the DVO and the application of the elements based on the perceptions of the participants and the moderators concerned. In addition, the dataset presents answers to what informs the choice for the three solution choices namely; reorganisation/better return than in liquidation (BriL)/Liquidation and lastly, the principles of effectuation and their relationship with reasonable prospect when evaluating a DVO. A qualitative study was conducted and in total, the study had 20 participants from the Gauteng province via the purposive and snowball sampling methods. Within the group of 15 business rescue practitioners (BRPs), there were 10 turnaround professionals and five BRPs from a liquidation and legal background. Additionally, five business rescue trainees were interviewed and the data were collected through semi-structured interviews.

本数据集关联一项旨在深入理解效果推理理论(effectuation theory)在评估困境创业机会(distressed venture opportunity,下文简称DVO)时应用场景的研究。数据集包含针对四项核心研究问题的解答结果,涵盖了与DVO相关的效果推理理论原则,以及基于受访主体与相关调节变量的认知视角所呈现的各要素应用实践。此外,本数据集还解答了三类解决方案的选择依据问题,三类方案分别为重组、比清算收益更高的方案(better return than in liquidation,下文简称BriL)以及清算;同时还呈现了效果推理理论原则及其在评估DVO时与合理预期之间的关联关系。本研究为质性研究,通过立意抽样与滚雪球抽样法,共招募了来自南非豪登省的20名受访主体。其中15名为企业拯救从业者(business rescue practitioners,下文简称BRPs),包含10名困境企业扭亏专员与5名具备清算与法律从业背景的BRPs。此外,研究还访谈了5名企业拯救受训人员,所有数据均通过半结构化访谈采集获得。
提供机构:
University of Pretoria
创建时间:
2024-06-21
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作