Business model evolution and the growth drivers of high-tech new ventures

2016 ◽  
Author(s):  
Andrea Tracogna
Keyword(s):  
Business Model ◽  
New Ventures ◽  
High Tech ◽  
Model Evolution

scholarly journals Capturing Dynamics in Business Model Frameworks

2019 ◽  
Vol 5 (1) ◽  
pp. 8 ◽  
Author(s):  
Hanieh Khodaei ◽  
Roland Ortt
Keyword(s):  
Business Model ◽  
High Tech ◽  
Environmental Aspects ◽  
Model Evolution ◽  
Model Quality ◽  
Important Indicator ◽  
Model Dynamics ◽  
Model Components ◽  
Changes Over Time ◽  
Over Time

Business model dynamics is important, because high-tech companies, the technology that they commercialize, and the market in which they operate all change over time. We build on the dynamic capability view of the firm to explain business model evolution and innovation, looking particularly at the dynamics that are created by interactions between business model components over time. We use the following four criteria to assess the degree of dynamics in business model frameworks: completeness of business model aspects, interrelationships between aspects, interrelationships over time, and framework changes over time and across contexts. Business model completeness involves internal company aspects and external environmental aspects. Interrelationships of business model aspects are required to assess business model coherence, which is an important indicator of business model quality. Interrelationships between the environment and business model aspects are required to assess the fit of a particular business model in its context. Interrelationships of these aspects over time are needed to understand business model evolution. Finally, business model frameworks need to be adapted over time and across contexts to keep frameworks simple and useful yet complete. Our analysis shows that current business model frameworks do not meet all four criteria, and thus only partly incorporate dynamics.

How Do Entrepreneurs Develop Business Models in Small High-Tech Ventures? An Exploratory Model from Australian IT Firms

2016 ◽  
Vol 6 (3) ◽  
Author(s):  
Arash Najmaei
Keyword(s):  
Business Model ◽  
Business Models ◽  
New Ventures ◽  
Future Research ◽  
High Tech ◽  
Second Phase ◽  
Business Modelling ◽  
Strategic Commitment ◽  
New Business ◽  
Managerial Implications

AbstractThe objective of this article is to explore and explain how entrepreneurs develop new business models for new ventures. Though highly topical, there is little solid empirical knowledge of this issue. Findings from multiple case studies of firms operating in the Australian cloud-computing ecosystem reveal that developing a new business model involves three phases. In the first phase (business modelling ideation (BMI)), various ideas for a viable business model are generated and the most viable one is chosen. The strategic consensus and commitment are generated in the second phase, labelled as the “business modelling strategic commitment” (BMSC). The third phase, labelled as the “business model actualization” (BMAC) is the market-testing phase where the business model is reified or actualized. The theoretical and managerial implications of the findings are discussed and several directions for future research are suggested.

THE INFLUENCE OF INITIAL BUSINESS MODELS ON EARLY BUSINESS PERFORMANCE: A STUDY OF 589 NEW HIGH-TECH FIRMS

2021 ◽  
pp. 2150055
Author(s):  
ANDERS ISAKSSON ◽  
HANS LÖFSTEN ◽  
HEIKKI RANNIKKO
Keyword(s):  
Business Model ◽  
Business Performance ◽  
Business Models ◽  
New Technology ◽  
New Ventures ◽  
High Tech ◽  
Sales Growth ◽  
Measurement Framework ◽  
Value Propositions ◽  
Knowledge Intensive

The initial business model of start-ups affects the performance and development of new ventures. Therefore, new technology-based firms (NTBFs) must choose a suitable initial business model to survive, perform, and grow. We propose a measurement framework comprising of nine elements described using 16 variables for NTBFs’ initial business models. We test our framework by surveying 589 young manufacturing and knowledge-intensive high-tech firms established in 2013 in Sweden, Finland, and France. We identify differences between the business models across countries and measure sales growth during 2014–2016. We find significant differences between high-tech manufacturing firms and high-tech knowledge-intensive firms regarding key partners, activities, and resources, as well as value propositions and the ranking of elements. In the second part of the analysis, we apply correlation and regression tests for the nine elements regarding early business performance (sales growth) for the manufacturing and knowledge-intensive high-tech firms.

Business model evolution, contextual ambidexterity and the growth performance of high-tech start-ups

2019 ◽  
Vol 99 ◽  
pp. 115-124 ◽  
Author(s):  
Bernardo Balboni ◽  
Guido Bortoluzzi ◽  
Roberto Pugliese ◽  
Andrea Tracogna
Keyword(s):  
Growth Performance ◽  
Business Model ◽  
High Tech ◽  
Model Evolution ◽  
Start Ups

Innovation for a (high-tech) nation

2018 ◽  
Vol 34 (12) ◽  
pp. 12-14
Keyword(s):  
Competitive Advantage ◽  
Case Studies ◽  
Design Methodology ◽  
Reading Time ◽  
New Ventures ◽  
Innovation Strategy ◽  
High Tech ◽  
Content Type ◽  
Pertinent Information ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings High-tech new ventures are typically beset by significant challenges in their marketplaces. Using effectuation, innovation strategy and the moderating force of opportunity shaping, they are able to gain competitive advantage. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Bucking the Trend: A Look at Zyme Solutions' Non-linear Business Model for IT Services from India

2011 ◽  
Vol 15 (01) ◽  
pp. 37-62 ◽  
Author(s):  
D.V.R. Seshadri
Keyword(s):  
Business Model ◽  
Service Provider ◽  
Business Models ◽  
Linear Growth ◽  
High Tech ◽  
Data Service ◽  
It Services ◽  
Software Companies ◽  
Non Linear ◽  
Vertical Market

The case describes XGen Technologies (name disguised), an India-based IT Enabled Services (ITES) company having to grapple with the issues of linear growth. The company's headcount had touched a whopping 40,000 and managing such a large setup was becoming a severe challenge, putting immense pressure on Partha Sen, the CEO, to adopt an innovative business model to sustain historical growth rates of revenue and profitability. This situation was similar to what most Indian ITES companies faced: they had been clocking impressive growth, yet there were concerns about the future. The case then describes some of the strategies that software companies have been adopting in order to achieve greater non-linearity in their business. In particular, the case concentrates on Zyme Solutions, Inc., a fully outsourced hosted data service provider to the high-tech vertical market, which has built as a non-linear business from the ground up, without the legacy of the linear business models to contend with. Students are put in the place of Partha Sen, having to decide on an approach that established companies like XGen could adopt to transit to a non-linear model.

Investigate the role of distributed leadership and strategic flexibility in fostering business model innovation

2019 ◽  
Vol 13 (1) ◽  
pp. 93-112 ◽  
Author(s):  
Suqin Liao ◽  
Zhiying Liu ◽  
Lihua Fu ◽  
Peichi Ye
Keyword(s):  
Business Model ◽  
Distributed Leadership ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Business Model Innovation ◽  
Equation Modeling ◽  
High Tech ◽  
Strategic Flexibility ◽  
Environmental Dynamism ◽  
Content Type

PurposeThe purpose of this paper is to examine whether the new distributed leadership patterns is an important driver for innovating business model. By synthesizing insights from the dynamic capabilities perspective, it also explores how and when distributed leadership enhances the business model innovation (BMI) by involving strategic flexibility as a mediator and environmental dynamism as important contingency.Design/methodology/approachA survey via questionnaire was conducted with 262 CEOs and 262 senior managers from Chinese high-tech companies that provided the research data. Structural equation modeling and linear regression analyses were used to test the time-lagged data, and then the main research questions were responded to.FindingsThe analysis reveals that distributed leadership has a significant direct influence on BMI, and that distributed leadership also indirectly affects BMI by enhancing strategic flexibility. Environmental dynamism strengthens the positive effect of distributed leadership on BMI under strategic flexibility.Originality/valueThis paper advances and enriches the emerging stream of BMI research. It presents an innovative conceptual analysis of the antecedents of BMI, and it shows a possible solution for BMI that complements extant research that considers which and how the leadership style of the organizations affects the business model change.

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