Using Personal Data to Advance Preventive Healthcare Services

Huhtala, Tero

doi:10.1007/s12927-018-0003-0

Cited by 6 publications

(10 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…But the rising number of digital touchpoints and smart devices that people interact with [2,32] has led to an increasing number of digital traces of connected people [10]. Personal data have transformed into a design material itself [33][34][35] and new types of data-based services emerge, for example for personal assistants, content personalization or self-monitoring services [10,36,37]. Yet, the use of personal data is associated with certain requirements: First, deriving comprehensive customer understanding mostly requires data aggregation and integration related to multiple customer interactions [31,38].…”

Section: Personal Data For Value Creationmentioning

confidence: 99%

“…Moreover, valuable personal information can also be actively provided by the customer itself [16,17]. Finally, service providers must ensure privacy regulations as well as data security and need to create trust when working with personal data [2,15,36]. Processes for consent management must be defined to ensure compliance with data protection regulations [42].…”

Section: Personal Data For Value Creationmentioning

confidence: 99%

See 1 more Smart Citation

From Personal Data to Service Innovation – Guiding the Design of New Service Opportunities

Blöcher

Hunke

Satzger

et al. 2022

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

Stimulated by an ongoing digital transformation, companies obtain a new source for digital service innovation: The use of personal data has the potential to build deeper customer relationships and to develop individualized services. However, methodological support for the systematic application of personal data in innovation processes is still scarce. This paper suggests a comprehensive approach for service design tools that enable collaborative design activities by participants with different data skills to identify new service opportunities. This approach includes the systematic development of customer understanding as well as a process to match customer needs to existing personal data resources. Following a design science research approach, we develop design principles for service design tools and build and evaluate a service opportunity canvas as a first instantiation.

show abstract

Section: Personal Data For Value Creationmentioning

confidence: 99%

Section: Personal Data For Value Creationmentioning

confidence: 99%

From Personal Data to Service Innovation – Guiding the Design of New Service Opportunities

Blöcher

Hunke

Satzger

et al. 2022

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

show abstract

“…Companies that are part of such networks can better develop their capabilities and utilize resources. Participation in data-driven networks helps companies to i) differentiate themselves from competitors (Wang, 2012), ii) create new end-user value (Huhtala, 2018) and iii) scale their business (with the help of the ecosystem) in a way that a single company could hardly manage on its own (Adner, 2006). In this context Lusch (2004, 2008) use the term competitive advantage and strategic benefit (2016) to capture the beneficial impact of the operant resources.…”

Section: Factors That Enable Changementioning

confidence: 99%

“…At the same time this is a huge business opportunity for many companies. However, access to all that data requires extensive collaboration at a level of several actors (Huhtala, 2018).…”

Section: Introductionmentioning

confidence: 99%

Success factors for data–driven service delivery networks

Pikkarainen¹,

Huhtala²,

Kemppainen³

et al. 2020

jim

Self Cite

View full text Add to dashboard Cite

Data is becoming a more and more important resource for future innovations. Companies are currently considering how to leverage personal data in preventive healthcare and in other sectors. However, there are many challenges hindering the development of data-driven businesses in extant business networks. The purpose of this paper is to explore the success factors of data-driven service delivery networks in the context of preventive healthcare. The results are examples of the benefits and challenges of data availability and usage, based on a qualitative case study, in which a network of actors is integrating resources to solve the needs of their end customers. The results underline the success factors for service delivery networks, creating a baseline for human-centric, personalized and preventive healthcare solutions. The study enriches the theoretical perspective of data, services and service delivery networks by continuing discussion on how big data resources become cooperative assets not only in a firm but also on the network level. This study has multiple implications for practitioners trying to navigate the turbulent waters of the changing business environment and evolving service delivery network of preventive healthcare. Especially small and medium size of firms could use the identified success factors when planning new data-driven services in their networks. Our analysis brings new perspective between a firm and the actors in its network, particularly in the preventive healthcare sector wherein data needs to be shared between actors via consent of the individuals.

show abstract

“…The need for customer orientation and personalized services [1][2][3] has resulted in a rising focus on personal customer data [1,4,5]. A wealth of customer data from connected people [6,7] has emerged and it seems promising to use this data to build up a deep customer understanding as the basis of customer-centered service design [1,8]. With rising importance of data and analytics, data-centric thinking becomes central to successfully leverage this data [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Customer Data Mapping - A Method for data-driven Service Innovation

Blöcher¹,

Wittwer²,

Alt³

2020

WI2020 Zentrale Tracks

View full text Add to dashboard Cite

Service providers nowadays face a complex situation, which is characterized by highly-demanding customers on the one and a plethora of potentially relevant data on the other hand. Data-driven service offerings need to be based on a solid understanding of available data in order to design personal value propositions. This research proposes a visual approach to build up data understanding from a customer perspective and highlights the potential of customer data. Based on the Customer-Dominant Logic, it develops the method "Customer Data Mapping" which supports businesses in establishing customer understanding through a structured process in a collaborative setting. It guides participants from capturing customer data along the customer journey to deriving customer understanding as the foundation for data-driven services.

show abstract

Using Personal Data to Advance Preventive Healthcare Services

Cited by 6 publications

References 40 publications

From Personal Data to Service Innovation – Guiding the Design of New Service Opportunities

From Personal Data to Service Innovation – Guiding the Design of New Service Opportunities

Success factors for data–driven service delivery networks

Customer Data Mapping - A Method for data-driven Service Innovation

Contact Info

Product

Resources

About