Creating and capturing value from Big Data: A multiple-case study analysis of provider companies

TLDR: This paper explores the question of how provider companies create and capture value from Big Data, drawing on a multiple-case study analysis of provider companies that offer solutions and services based on Big Data.

About: This article is published in Technovation.The article was published on 2019-06-01 and is currently open access. It has received 131 citations till now. The article focuses on the topics: Service design & Big data.

Figures

Table 4: Creation and capture of value in companies B, E and G.

Table 1: The role of Big Data in a context of digital transformation.

Table 3: Creation and capture of value in companies A, D and H.

Figure 1: Sampled companies in relation to the offer’s characteristics.

Table 2: Sample of companies.

Table 5: The role of the stakeholders’ network for each sampled company.

Frequently asked questions

Q1. What are the contributions mentioned in the paper "Creating and capturing value from big data: a multiple-case study analysis of provider companies" ?

However, while these have resulted in the emergence of a rich research domain focusing on the managerial and practical implications typically addressed from the user perspective, there is still a lack of complete understanding of how companies that provide Big Data solutions can create and capture value from them. This paper explores the question of how provider companies create and capture value from Big Data, drawing on a multiple-case study analysis of provider companies that offer solutions and services based on Big Data. The results illustrate a theoretical framework on value creation and capture by relying on Big Data and identify two main innovation service strategies based on Big Data used by provider companies. In addition, this paper provides valuable insights as to how the network of involved stakeholders influences the design and implementation of the innovation service strategy by the provider companies. 

Q2. What are the future works mentioned in the paper "Creating and capturing value from big data: a multiple-case study analysis of provider companies" ?

Despite its contributions, this paper has some limitations that open up avenues for further research. From a theoretical perspective, the proposed framework could be also enriched, refined or modified in accordance with how service innovation will evolve in the future through digital technologies, in terms of new strategies, new actors, new competitive environments, and new contextual factors. In addition, the paper invites future research to expand the number of provider companies to be involved in order to improve the generalisability of the findings ; this represents a typical limitation of qualitative research, as in the present case. In addition, the present paper invites scholars to study how managers, who adopt a process-driven strategy, can improve their service level by shifting to the use case-driven strategy ; this strategy, indeed, conceives a high degree of involvement of customers throughout the all phases of the project, thus it can potentially avoid asymmetries – which may occur more likely through the process-driven strategy – between the initial request and the outcome. 

Q3. How can the author facilitate quality management?

In addition, the author explains that quality management can be facilitated thanks to the quality records collected from the manufacturing processes. 

Q4. What is the author's suggestion for collaborative design?

Another enabler for collaborative design, suggested by Yan et al. (2009), is a data-mining approach for product conceptualisation in a web-based architecture. 

Q5. What is the role of the end users in the value creation process?

In doing so, it also discusses the role of customer involvement and interactions, as the end users represent a key stakeholder that shapes the development and implementation of the service innovations pursued by the provider companies. 

Q6. How many hours of interviews were conducted?

Each manager was interviewed at least twice in order to obtain complete answers, reaching in total around 40 hours of interviews (see Appendix II, “Final sample of companies and key respondents involved”). 

Q7. What are the two strategies used to cluster the sample of provider companies?

These two strategies – which can be used to cluster the sample of provider companies – were called (i) use case-driven, and (ii) process-driven. 

Q8. What is the difference between perceived use value and exchange value?

Bowman and Ambrosini (2000) argue that new perceived use value is created by the actions of organisational members and that each stage of the value chain contributes a proportion of the overall value created, whereas exchange value is realised at the time of sale. 

Q9. What is the role of Big Data in the development of new value propositions?

In today’s business environment companies supported by business intelligence systems can apply the knowledge maturity models for effective decision-making in new value propositions (Yang, 2015; Maine et al., 2015; Ricondo et al., 2009). 

Q10. What are the two innovation strategies that provider companies pursue?

The results allow identifying two innovation strategies through Big Data that provider companies pursue in order to innovate their value propositions, allowing the creation of a favourable environment for themselves and user companies for an effective implementation of Big Data.