{"title":"Unlocking data’s potential: navigating the challenges of data-driven innovation for start-ups","authors":"Ingvild Jøranli, Karl Joachim Breunig","doi":"10.1108/mbe-02-2024-0022","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>Data-driven innovation is a key pillar for economic development in the 21st century, accordingly the role and value of data in developing new products, services and business models has gained attention. The study aims to identify three important factors explaining the challenges faced by young entrepreneurial firms when seeking to use public data in their business development.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>This study presents the user journeys of five data-driven start-ups in the capital region of Norway aiming to use public data in their business development process. Multiple methods for data collection were used, such as interviews, observations and secondary data.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>The study reveals how differences in culture, communication and work methods across stakeholders and sectors affect and delay the process of gaining access to data. Moreover, how various forms of knowledge are expressed differently throughout the user journeys of the start-up firms, with stronger dependency on explicit and codified in early phase, and tacit and experience-based knowledge in later stages, each stage relating to the maturity of the entrepreneurial ecosystem for data-driven innovation. Therefore, the ecosystem for data-driven innovation may be further developed through arenas for collaboration that simplify the process for access to – and use of public data.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>The study reveals how young entrepreneurial firms identify opportunities whilst simultaneously facing substantial barriers when they seek to take advantage of publicly available data and transforming them into value creating activities. The study contributes to the theoretical understanding of data-driven innovation by exploring the user journeys of start-up firms and identifying the challenges they face when utilizing public data, highlighting the importance of a mature ecosystem, collaboration for market development and the evolving role of tacit and experience-based knowledge throughout the business development process.</p><!--/ Abstract__block -->","PeriodicalId":18468,"journal":{"name":"Measuring Business Excellence","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measuring Business Excellence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/mbe-02-2024-0022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
Data-driven innovation is a key pillar for economic development in the 21st century, accordingly the role and value of data in developing new products, services and business models has gained attention. The study aims to identify three important factors explaining the challenges faced by young entrepreneurial firms when seeking to use public data in their business development.
Design/methodology/approach
This study presents the user journeys of five data-driven start-ups in the capital region of Norway aiming to use public data in their business development process. Multiple methods for data collection were used, such as interviews, observations and secondary data.
Findings
The study reveals how differences in culture, communication and work methods across stakeholders and sectors affect and delay the process of gaining access to data. Moreover, how various forms of knowledge are expressed differently throughout the user journeys of the start-up firms, with stronger dependency on explicit and codified in early phase, and tacit and experience-based knowledge in later stages, each stage relating to the maturity of the entrepreneurial ecosystem for data-driven innovation. Therefore, the ecosystem for data-driven innovation may be further developed through arenas for collaboration that simplify the process for access to – and use of public data.
Originality/value
The study reveals how young entrepreneurial firms identify opportunities whilst simultaneously facing substantial barriers when they seek to take advantage of publicly available data and transforming them into value creating activities. The study contributes to the theoretical understanding of data-driven innovation by exploring the user journeys of start-up firms and identifying the challenges they face when utilizing public data, highlighting the importance of a mature ecosystem, collaboration for market development and the evolving role of tacit and experience-based knowledge throughout the business development process.
期刊介绍：
Measuring Business Excellence provides international insights into non-financial ways to measure and manage business performance improvements and company’s value creation dynamics. Measuring Business Excellence will enable you to apply best practice, implement innovative thinking and learn how to use different practices. Learn how to use innovative frameworks, approaches and practices for understanding, assessing and managing the strategic value drivers of business excellence. MBE publishes both rigorous academic research and insightful practical experiences about the development and adoption of assessment and management models, tools and approaches to support excellence and value creation of 21st century organizations both private and public.
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