多学科方法
结构方程建模
独创性
价值(数学)
领域(数学)
商业模式
营销
计算机科学
知识管理
业务
社会学
数学
社会科学
纯数学
机器学习
定性研究
作者
Deepika Jhamb,Sukhpreet Kaur,Saurabh Pandey,Amit Mittal
出处
期刊:Benchmarking: An International Journal
[Emerald (MCB UP)]
日期:2023-08-04
卷期号:31 (9): 2821-2838
被引量:4
标识
DOI:10.1108/bij-09-2022-0566
摘要
Purpose Data science industry is a multidisciplinary field that deals with a large amount of data and derives useful information for taking routine and strategic business decisions. The purpose of this article is to examine the relationship between pricing models, engagement models, and firm performance (FP). This study also aims at uncovering the most effective pricing model and engagement model for improving FP. Design/methodology/approach Indian data scientists were the respondents of the study. A total of 213 responses were carefully chosen. The data were analyzed using structural equations on Statistical Package for Social Sciences-Analysis of Moment Structures (SPSS-AMOS) version 25 software. Findings The findings of the study suggested the positive and significant impact of pricing models and engagement models on FP. Value-based pricing strategies have the maximum impact on FP. On the other hand, managed services have a higher influence on FP. Originality/value By developing a multi-faceted framework, this study is a novel contribution to the field of business strategy, especially for the data science industry.
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