Towards a Process Model for Data-Driven Business Model Innovation

Hunke, Fabian; Seebacher, Stefan; Schüritz, Ronny; Illi, Alexander

doi:10.1109/cbi.2017.43

Cited by 28 publications

(22 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Prior work recognizes that there is a lack of shared understanding of what makes a business model "digital" [6]. However, multiple streams of literature emerge thematizing digital business models using different terminology, for example, data-driven business models [15,24,25,29,50,57] or platform business models [2,28,51]. The lowest common denominator across terms is the use of digital technologies in the business logic and the extraction of value and revenue from data [24,40,51].…”

Section: Data-driven Business Modelsmentioning

confidence: 99%

Data-driven Business Models in Logistics: A Taxonomy of Optimization and Visibility Services

Möller¹,

Stachon²,

Hoffmann³

et al. 2020

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

The nature of business conduct is changing due to emerging digital technologies and the ever-increasing role of data as a critical resource. Traditional industry branches such as logistics need to adapt accordingly to keep up with change through digitization and to design adequate business models using data. The present article focuses on investigating the anatomy of these data-driven business models in the logistics sector. In order to achieve this goal, the study develops a taxonomy of data-driven business models in logistics. Start-ups serve as the frame of reference, as they are particularly suitable for deriving explicitly novel and vital business models. The study focuses on two particular types of data-driven business models, namely those offering visibility or optimization services in logistics. The goal of the taxonomy is to uncover the structural composition of such business models and to make the results usable as a morphology for innovation.

show abstract

Section: Data-driven Business Modelsmentioning

confidence: 99%

Data-driven Business Models in Logistics: A Taxonomy of Optimization and Visibility Services

Möller¹,

Stachon²,

Hoffmann³

et al. 2020

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

show abstract

“…Seven relevant and representative contributions in this field without an explicit focus on SME but a rather general applicability could be identified. These gave a good overview of relevant process steps [7,14,27,28,41,55,57,60]. The idea of systematically tackling the DT with procedure models has become a common way in the respective research domain (see below).…”

Section: Models For Digital Transformation In Smesmentioning

confidence: 99%

“…For example, Van Goolen et al [19] emphasize the importance of congruency between digital innovations and company goals and the focus is put on high-level strategic goals and company visions. Others have a mixed focus including both strategic and tactical/operational elements [25,27]. While all three levels exist in the literature, there is a tendency towards a strategic level.…”

Section: Models For Digital Transformation In Smesmentioning

confidence: 99%

“…Second, a majority of the identified contributions reflect a similar underlying logic. As the term "transformation" inherently suggests, most of the contributions cover the following abstract phases in one way or another: Analysis of a current as-is state, definition of the desired to-be state, an alignment/synthesize of the as-is and to-be states and an actual implementation and monitoring phase [23,25,27,41,42,46,49,57,58,60].…”

Section: Models For Digital Transformation In Smesmentioning

confidence: 99%

“…These models cover steps that help to position a company within the digitalization by understanding the current BM and identifying digitalization potentials. In contrast, other models support both the orientation and the (iterative) implementation of innovation [18,27,33,55,58]. Covering both phases is important as digitalization requires a business-and an IT-perspective [23].…”

Section: A Procedures Model To Enable Digital Transformation In Smesmentioning

confidence: 99%

See 2 more Smart Citations

Supporting Digital Transformation in Small and Medium-sized Enterprises: A Procedure Model Involving Publicly Funded Support Units

Barann¹,

Hermann²,

Cordes³

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

Digital Transformation (DT) considers the continuous digitalization process of a company, which uses digital and data-driven innovation to improve existing processes, change distinct business model (BM) elements, or reinvent its BM entirely. Large companies position themselves at the frontline of the DT, while small and medium-sized enterprises (SMEs) are challenged by resource constraints and missing guidance on realizing benefits of DT. This situation threatens SMEs as big players increasingly utilize DT to enter markets that have been traditionally reserved to SMEs. Extant research on the ways SMEs can effectively participate in DT is limited. Against this background, this article builds upon prior research and a focus group discussion to propose a procedure model, which enables DT in SME by involving publicly funded support units. These units help SMEs in understanding and structuring the potentials of digital and data-driven innovation.

show abstract

Utilizing Data and Analytics to Advance Service

Hunke

Engel

2018

Exploring Service Science

View full text Add to dashboard Cite

Towards a Process Model for Data-Driven Business Model Innovation

Cited by 28 publications

References 12 publications

Data-driven Business Models in Logistics: A Taxonomy of Optimization and Visibility Services

Data-driven Business Models in Logistics: A Taxonomy of Optimization and Visibility Services

Supporting Digital Transformation in Small and Medium-sized Enterprises: A Procedure Model Involving Publicly Funded Support Units

Utilizing Data and Analytics to Advance Service

Contact Info

Product

Resources

About