Creative Industries and Big Data: A Business Model for Service Innovation

Author(s):  
Giovanna Morelli ◽  
Francesca Spagnoli
Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Wei Yang ◽  
Junkai Zhou

With the advent of the era of big data, great changes have taken place in the insurance industry, gradually entering the field of Internet insurance, and a large amount of insurance data has been accumulated. How to realize the innovation of insurance services through insurance data is crucial to the development of the insurance industry. Therefore, this paper proposes a ciphertext retrieval technology based on attribute encryption (HP-CPABKS) to realize the rapid retrieval and update of insurance data on the premise of ensuring the privacy of insurance information and puts forward an innovative insurance service based on cloud computing. The results show that 97.35% of users are successfully identified in test set A and 98.77% of users are successfully identified in test set B, and the recognition success rate of the four test sets is higher than 97.00%; when the number of challenges is 720, the modified data block is less than 9%; the total number of complaints is reduced from 1300 to 249; 99.19% of users are satisfied with the innovative insurance service; the number of the insured is increased significantly. To sum up, the insurance innovation service based on cloud computing insurance data can improve customer satisfaction, increase the number of policyholders, reduce the number of complaints, and achieve a more successful insurance service innovation. This study provides a reference for the precision marketing of insurance services.


Author(s):  
Anna Bon ◽  
Jaap Gordijn ◽  
Hans Akkermans

E-Services have great potential, even in resource-poor environments such as in sub-Saharan Africa. However, contextual factors pose significant challenges for development, feasibility, deployment and sustainability of e-services. This chapter presents a case of e-service value co-creation in a rural context, with targeted end users in regions characterized by limited electricity infrastructure and poor or absent internet, strong diversity in languages spoken, high illiteracy rates and limited purchasing power. It offers a methodology to upfront analyze business model sustainability for e-service innovation in severely resource-constrained contexts. This is illustrated by an extensive case study in which a voice-based microblogging e-service was developed and deployed with local stakeholders in rural Mali.


Data and analytics is the heart of a digital business platform. Today, big data (BD) becomes useful when it enriches decision making that is enhanced by application of analytical techniques and some element of human interaction. With the merging of data and information vs. knowledge and intelligence, this chapter investigates an opportunity for cross-fertilization between BD and the field of digital business with related disciplines. Primary BD and analytics platform is a set of business capabilities. This chapter aims to investigate the potential relationship of BD and analytics platform and digital business platform. In doing so, it develops a BD value chain framework, BD business model pattern (BDBMP) with related levels of BD maturity improvement. This framework could be used to find answers on the basic BD and digital business relationship questions.


Author(s):  
Soraya Sedkaoui ◽  
Mounia Khelfaoui

This chapter treats the movement that marks, affects, and transforms any part of business and society. It is about big data that is creating, and the value generating that companies, startups, and entrepreneurs have to derive through sophisticated methods and advanced tools. This chapter suggests that analytics can be of crucial importance for business and entrepreneurial practices if correctly aligned with business process needs and can also lead to significant improvement of their performance and quality of the decisions they make. So, the main purpose of this chapter are exploring why small business, entrepreneur, and startups have to use data analytics and how they can integrate, operationally, analytics methods to extract value and create new opportunities.


Author(s):  
Hakikur Rahman

While talking about successful entrepreneurship and value addition within an enterprise through innovation, one could comprehend that the innovation paradigm has been shifted from simple introduction of new thoughts and products to accumulation of diversified actions, actors, and agents along the process. Furthermore, when the innovation process is not being constrained within the closed nature of it, the process takes many forms during its evolution. Innovations have been seen as closed innovation or open innovation, depending on its nature of action, but contemporary world may have seen many forms of innovation, such as technological innovation, products/service innovation, process/production innovation, operational/management/organizational innovation, business model innovation, or disruptive innovation, though often they are robustly interrelated.


Author(s):  
Ossi Ylijoki ◽  
Jukka Sirkiä ◽  
Jari Porras ◽  
Vesa Harmaakorpi
Keyword(s):  
Big Data ◽  

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