当前位置: X-MOL 学术J. Strategic Inf. Syst. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Resourcing with data: Unpacking the process of creating data-driven value propositions
The Journal of Strategic Information Systems ( IF 8.7 ) Pub Date : 2022-11-30 , DOI: 10.1016/j.jsis.2022.101744
Wendy Arianne Günther , Mohammad H. Rezazade Mehrizi , Marleen Huysman , Fleur Deken , Frans Feldberg

This paper examines how organizations create data-driven value propositions. Data-driven value propositions define what customer value is created based on data. We study the dynamics underlying this process in a European postal-service organization. We develop a model that shows that the process of creating data-driven value propositions is emergent, consisting of iterative resourcing cycles. We find that creating data-driven value propositions involves the performance of two types of resourcing actions: data reconstructing and data repurposing. The process is shaped by two types of data qualities: apparent qualities, i.e., qualities perceived ex-ante as potentially significant for creating value propositions; and latent qualities, which raise unforeseen consequences en route. We discuss the implications of these findings for the literature on creating data-driven value propositions, for our understanding of data as a strategic resource, and for the literature on resourcing.



中文翻译:

数据资源:解开创建数据驱动价值主张的过程

本文研究了组织如何创建数据驱动的价值主张。数据驱动的价值主张定义了基于数据创造的客户价值。我们研究了欧洲邮政服务组织中这一过程背后的动态。我们开发了一个模型,该模型表明创建数据驱动的价值主张的过程是紧急的,由迭代资源循环组成。我们发现,创建数据驱动的价值主张涉及两种类型的资源配置行为的执行:数据重建和数据再利用。该过程由两种类型的数据质量决定: 表观质量,即事前被认为​​对创建价值主张具有潜在重要性的质量;和潜在的品质,这会在途中引发无法预料的后果。

更新日期:2022-12-01
down
wechat
bug