ABSTRACT

Digital technologies are disrupting the way companies manage business. In today’s society, where a plethora of different digital solutions are booming and the attention of both practitioners and scholars is growing, little is known about how to make the most of such technologies. Given the complexity of the phenomenon, this paper refers to a single digital technology, Big Data. It is commonly recognised that Big Data can represent a competitive advantage source for companies. However, there is still a lack of literature on how to exploit the opportunities provided by this technology, while the amount of data is so vast that their interpretation is complex. The focus on human centricity, iteration, and prototyping of Design Thinking brought the academic world towards the recognition that this approach could be valuable in steering and managing this technology. Thus, the paper investigates how Design Thinking can foster innovation based on Big Data technologies. It leverages three explicative case studies to shed light on a new set of hybrid practices. By comparing and contrasting cases, the four practices of (i) Cropping Big Data Landscapes, (ii) Reframing Big Data applications, (iii) Unveiling Big Data Opportunities, and (iv) Proving Big Data Releases are proposed. These hybrid sets of practices support both practitioners and academics in opening up the black box to interpret and value Big Data.

摘要

数字技术正在颠覆企业管理业务的方式。在当今社会，各种不同的数字解决方案蓬勃发展，从业者和学者的关注度越来越高，但如何充分利用这些技术却知之甚少。鉴于现象的复杂性，本文提到了一种单一的数字技术，即大数据。人们普遍认为，大数据可以代表公司的竞争优势来源。然而，仍然缺乏关于如何利用这项技术提供的机会的文献，而数据量如此之大，以至于它们的解释很复杂。关注以人为本，迭代，设计思维的原型设计使学术界认识到这种方法在指导和管理这项技术方面可能很有价值。因此，本文研究了设计思维如何促进基于大数据技术的创新。它利用三个解释性案例研究来阐明一组新的混合实践。通过对比案例，提出了（i）裁剪大数据景观、（ii）重构大数据应用、（iii）揭示大数据机会、（iv）证明大数据发布的四种实践。这些混合实践支持从业者和学者打开黑匣子来解释和评估大数据。它利用三个解释性案例研究来阐明一组新的混合实践。通过对比案例，提出了（i）裁剪大数据景观、（ii）重构大数据应用、（iii）揭示大数据机会、（iv）证明大数据发布的四种实践。这些混合实践支持从业者和学者打开黑匣子来解释和评估大数据。它利用三个解释性案例研究来阐明一组新的混合实践。通过对比案例，提出了（i）裁剪大数据景观、（ii）重构大数据应用、（iii）揭示大数据机会、（iv）证明大数据发布的四种实践。这些混合实践支持从业者和学者打开黑匣子来解释和评估大数据。