An Approach for E-Service Design Using Enterprise Models

Author(s):  
Martin Henkel ◽  
Paul Johannesson ◽  
Erik Perjons

Organisations demand new business models for value creation and innovation that require collaboration with customers and vendors in agile and flexible networks. To realise such networks, organisations are embracing service oriented models and architectures using e-services for business communication. A major issue for a service oriented organisation is to design and offer e-services that are adapted to the needs, wants, and requirements of customers and vendors. This is a challenging task as different customer groups and vendors will have different requirements, which may vary over time, resulting in a large number of e-services. In this paper, the authors suggest enterprise models as being adequate instruments for design and maintenance of e-services. More specifically; an approach for designing e-services based on value and goal models, which will ensure that the constructed e-services will satisfy the needs and wants of customers. A project from the Swedish health care sector is used to demonstrate and evaluate the proposed approach.

Author(s):  
Martin Henkel ◽  
Paul Johannesson ◽  
Erik Perjons

Organisations demand new business models for value creation and innovation that require collaboration with customers and vendors in agile and flexible networks. To realise such networks, organisations are embracing service oriented models and architectures using e-services for business communication. A major issue for a service oriented organisation is to design and offer e-services that are adapted to the needs, wants, and requirements of customers and vendors. This is a challenging task as different customer groups and vendors will have different requirements, which may vary over time, resulting in a large number of e-services. In this paper, the authors suggest enterprise models as being adequate instruments for design and maintenance of e-services. More specifically; an approach for designing e-services based on value and goal models, which will ensure that the constructed e-services will satisfy the needs and wants of customers. A project from the Swedish health care sector is used to demonstrate and evaluate the proposed approach.


2012 ◽  
Vol 61 (3) ◽  
Author(s):  
Jürgen Zerth

AbstractThe German private health insurers (PKV) face different obstacles for a further successful development. On the one hand the PKV system lacks from adequate incentive structures to overcome forms of moral hazard and supplier-induced demand which becomes more relevant with respect to demographic- related care. On the other hand PKV must develop new business models for a demand-driven health care market. The latter challenge also threats the statutory health care insurers but their market powers as well as some governance reforms in the past have strengthened GKV-insurers in order to get more efficient. At least, PKV has to adapt its own business strategy to be prepared for the main topic of future health care: implementation of innovation within a continuous demographic change.


Author(s):  
John V. Cox ◽  
John D. Sprandio ◽  
Ronald Barkley

This paper and the three presentations it supports are drawn from the theme of the 2012 Cancer Center Business Summit (CCBS): “Transitioning to Value-Based Oncology: Strategies to Survive and Thrive.” The CCBS is a forum on oncology business innovation, and the principal question the organizers address each year is “What are the creative, innovative, and best business models and practices that are being conceived or piloted today that may provide a responsible and sustainable platform for the delivery of cancer care tomorrow?” At this moment in health care—when so much is in flux and new business models and solutions abound—the oncology sector has a solemn responsibility: to forge the business models and relationships that will help to define a new cancer care value proposition and a sustainable health care system of tomorrow for the benefit of the patients it serves to get it “right.”


2011 ◽  
pp. 257-269
Author(s):  
Robert Thierauf ◽  
James Hoctor

• To take a last look at creative thinking and problem finding that underlies “what needs to be done” in a typical optimal KM/WM system • To tie in new business models with the ability of a company’s decision makers to judge soundly over time • To review computer software that is useful in optimal KM/WM system applications • To set forth real-world optimal KM/WM system applications in the areas of corporate planning, marketing, finance, and manufacturing


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nirjhar Nigam ◽  
Sondes Mbarek ◽  
Afef Boughanmi

Purpose Financing investments in a knowledge-intensive sector may be more difficult as there is a greater degree of uncertainty and asymmetries of information. This paper aims to examine whether a company’s intellectual capital (human capital, relational capital and structural capital) can serve as a quality signal in the financing of health care startups with new business models. Design/methodology/approach The study constructed a manual database using several paid and unpaid databases. This paper collected random data from 204 startups that obtained funding during the 2014–2017 period and used signaling theory to examine the factors that impact access to external financing for Indian health care technology startups. Findings This paper found that venture capitalists partly base their financing decisions on the relational capital of the startup represented by startups’ age and the average number of website visits, the presence of a syndicate of investors. Human capital variables and structural variables do not show much significant impact. This paper also find some business models show a negative impact on financing implying that investors are reluctant to invest in new technologies that carry more uncertainty and take a longer time to become profitable. Research limitations/implications Before concluding this paper, it is important to acknowledge the limitations of the study and some implications for future research purposes. First, the study is conducted on only 204 startups from India, and as such, it suffers from a small sample size, like many other comparable survey-based studies in entrepreneurship. Second, the results are obtained with respect to data collected from Indian startups and represent the Indian context which limits the generalization on a global level. Practical implications The results suggest that years of experience and prior relevant experience, do not actually impact the financing of a new venture. These results are crucial as India has a unique demographic advantage over other countries in relation to age. If young minds are adequately nurtured, this can result in innovation, entrepreneurship and job creation (which still remains as a foremost challenge for India). Social implications From a policy perspective, a number of implications emerge from the current study. There is a need for ameliorating the capacity of the education system in providing top-quality support including a greater focus on entrepreneurship courses and to replicate the education delivery model from top foreign institutes. The government should take this opportunity to revive the system of education and follow the methodology of elite institutes and to develop entrepreneurship spirit in other colleges and schools. Originality/value Financing the investments of young startups with new business models in knowledge-based sectors may be more difficult. In this paper, this paper demonstrates that startups have to effectively use and manage their intellectual assets to achieve sustainable competitive advantage. The findings of the paper emphasize the role of intellectual capital in securing financing through venture capital.


2020 ◽  
Vol 6 (3) ◽  
pp. 17-20
Author(s):  
Farxod Tursunov ◽  

The article discusses the role of the digital economy in the development of the country, how it becomes the basis of the economy, new business models and management systems. The opinion of scientistsis analyzed, a definition of a digital enterprise is given


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