دانلود رایگان مقاله انگلیسی معیارهای عملکرد عملیاتی برای شرکت های نوپا - امرالد 2017

Abstract

Purpose: The objective of this study is to investigate the uses of performance measures in startup firms including perceived importance and performance of those measures. Design/methodology/approach: The survey method is used in this study. Data were collected from founders/CEOs/managers of 110 startups in Thailand. The correlation analysis and ANOVA techniques are used as the analysis tool in this study. Findings: The results show that there is a positive relationship between the perceived importance and the performance of each metric. However, no significant differences are found in the importance and performance of each metric among the various stages of startups. Research limitations/implications: Because there are so few startups compared to large corporations, the sample size of this study is relatively small, which is a limitation for some statistical tests. Practical implications: Startup should measure and monitor the correct metrics in a particular stage, instead of trying to perform well in all areas, which will lead them to lose focus, and possibly even fail. Results obtained from this study will aid startups in properly monitoring and managing their performance. Originality/value: Unlike large corporations, the performance measures used by startups vary, and depend on a startup’s stage and type. Due to the fact that there are much fewer startups than large corporations, there are limited number of studies in this area. This research is among the first studies that try to investigate the uses of performance measure for this new type of organizations.

Conclusion

Unlike large corporations, startup companies are still searching for an appropriate business model. Thus, the performance measures used by startups vary and depend on a startup’s stage and type. The findings show that some startup types (media site, usergenerated content, and two-sided marketplace) demonstrate performance that is inconsistent with the importance of a measure, implying that the some startups perform well in less important areas, but poorly in areas that are more important. It can be argued that startups can face four situations based on the importance and performance of each metric. First, when a metric is considered important and performance is excellent, it implies that startups are doing well in the important areas, and thus the startup’s strategy should be to maintain this status. Second, if a metric is considered less important, but the startup is doing very well in this area, this is not a good sign, as many might believe. Rather, this shows that the startup is wasting its limited resources in an unimportant area. Resources should be reallocated to more important areas instead. Third, when the performance of a startup is not very good in an unimportant area, the startup should not become anxious, as that area has low priority. Finally, if the startup is performing poorly in the most important areas, this is a red flag. It is of highest priority for a startup to improve its performance in this area. Thus, the results from this study can help startups allocate resources properly.