A Study on Success Factors for Business Model Innovation in the 4th Industrial Revolution

2018 ◽  
pp. 105-127 ◽  
Author(s):  
Sung-Hwan Yoon ◽  
Nguyen Si Thin ◽  
Vo Thi Thanh Thao ◽  
Eun-Tak Im ◽  
Gwang-Yong Gim
Keyword(s):  
Business Model ◽  
Success Factors ◽  
Industrial Revolution ◽  
Business Model Innovation

scholarly journals Pushing the Limits using Business Model Innovation a Three Pronged Approach and Lessons Learned

2021 ◽  
Vol 2 (1) ◽  
pp. 24-35
Author(s):  
Ignitia Motjolopane
Keyword(s):  
Business Model ◽  
Value Creation ◽  
Business Models ◽  
Industrial Revolution ◽  
Business Environment ◽  
Business Model Innovation ◽  
Lessons Learned ◽  
Revenue Streams ◽  
Reducing Costs ◽  
Model Components

In a constantly changing business environment, with increasing digitisation and fourth industrial revolution blurring the traditional value creation boundaries, companies need to explore ways to push the limits to remain competitive. Business model innovation offers companies the dynamic capability to differentiate business models and find innovative revenue streams while reducing costs. As such, the question arises as to how company may use business model innovation to remain competitive as the world digitises. Based on a literature review and empirical research involving six case studies, a three pronged approach in support of business model innovation is proposed. Business model innovation has the potential to push the limits when company executives and academia focus on the interrelation between drivers, process and components. Moreover, both effective and ineffective practices based on the research are presented. In conclusion, for companies to use business model innovation in pushing the limits, there is need to respond to the business model innovation drivers, adopt a systematic process and change at least one or more business model components and taking into account the interactions between these three concepts. This article may contribute to existing theory in the field of business model innovation and lessons learned from executives that have pushed the limits using business model innovation. Doi: 10.28991/HEF-2021-02-01-03 Full Text: PDF

scholarly journals A framework for digital transformation and business model innovation

2020 ◽  
Vol 25 (2) ◽  
pp. 111-132
Author(s):  
Chanté van Tonder ◽  
Chris Schachtebeck ◽  
Cecile Nieuwenhuizen ◽  
Bart Bossink
Keyword(s):  
Conceptual Framework ◽  
Business Model ◽  
Business Models ◽  
Industrial Revolution ◽  
Business Model Innovation ◽  
Digital Transformation ◽  
Bibliographic Databases ◽  
The Third ◽  
Fourth Industrial Revolution ◽  
Customer Centricity

With the advent of the Fourth Industrial Revolution, businesses are adapting to the use of digitalisation which requires the digital transformation of their existing business models. However, there is limited empirical research on this phenomenon. The purpose of this study is twofold: (i) to develop a framework for businesses to digitally transform their business models and (ii) to examine literature in order to identify and analyse the constructs underlying the three concepts of Digitalisation, Digital Transformation and Business Model Innovation. The study is qualitative in nature and is based on a narrative review. Relevant articles were identified by using international bibliographic databases and scrutinised using thematic analysis. The findings reveal that the first two constructs require digital capabilities and a digital strategy. The third construct requires digital transformation in the realm of customer-centricity, resources, processes and profit. A set of propositions was formulated and the commonalities were mapped. Based upon this map, a conceptual framework was developed. The findings will assist in the development of future instruments that can guide businesses to digitally transform existing business model elements. This study aims to fill the gap on how business model innovation should be pursued through digital transformation by developing a conceptual framework.

Success factors for agricultural biogas production in Sweden: A case study of business model innovation

2017 ◽  
Vol 142 ◽  
pp. 2925-2934 ◽  
Author(s):  
Niklas P.E. Karlsson ◽  
Fawzi Halila ◽  
Marie Mattsson ◽  
Maya Hoveskog
Keyword(s):  
Business Model ◽  
Success Factors ◽  
Biogas Production ◽  
Business Model Innovation

scholarly journals Business Model Innovation Through the Lens of Time: An Empirical Study of Performance Implications Across Venture Life Cycles

2021 ◽  
Author(s):  
Elena Freisinger ◽  
Sven Heidenreich ◽  
Christian Landau ◽  
Patrick Spieth
Keyword(s):  
Life Cycle ◽  
Business Model ◽  
Structural Equation ◽  
Success Factors ◽  
Positive Impact ◽  
Positive Influence ◽  
Life Cycles ◽  
Business Model Innovation ◽  
Early Years ◽  
Equation Modeling

AbstractCurrent literature suggests that the innovation of a business model is among the most important success factors for organizations and has a positive influence on their performance. What is not yet clear, however, is how this relationship unfolds during an organization’s life cycle. We posit that business model innovation strongly contributes to firm performance in earlier phases, but ultimately gets less important. We therefore collected data on 250 organizations in Germany and used structural equation modeling for analytical purposes. We make the following two main contributions to the literature: (1) We confirm recent findings about the positive impact of business model innovation on performance; (2) we provide first empirical evidence for the important role of life cycle stages as moderator with regard to this relationship. With respect to the latter, our findings show that business model innovation is an important pathway of organizations, especially in their early years of existence, yet somewhat diminishing over time. In conclusion, this study opens new research avenues by extending and incorporating explanations for the life cycle theory and business model innovation.

A Digital Economy Model for Talent Prediction Data Analytic

2019 ◽  
Vol 2 (4) ◽  
pp. 260-266
Author(s):  
Haru Purnomo Ipung ◽  
Amin Soetomo
Keyword(s):  
Business Model ◽  
Industrial Revolution ◽  
Technology Innovation ◽  
Cost Effective ◽  
Sharing Economy ◽  
Token Economy ◽  
Economy Model ◽  
New Business ◽  
The Cost ◽  
Data Analytic

This research proposed a model to assist the design of the associated data architecture and data analytic to support talent forecast in the current accelerating changes in economy, industry and business change due to the accelerating pace of technological change. The emerging and re-emerging economy model were available, such as Industrial revolution 4.0, platform economy, sharing economy and token economy. Those were driven by new business model and technology innovation. An increase capability of technology to automate more jobs will cause a shift in talent pool and workforce. New business model emerge as the availabilityand the cost effective emerging technology, and as a result of emerging or re-emerging economic models. Both, new business model and technology innovation, create new jobs and works that have not been existed decades ago. The future workers will be faced by jobs that may not exist today. A dynamics model of inter-correlation of economy, industry, business model and talent forecast were proposed. A collection of literature review were conducted to initially validate the model.

Website Information Security and Privacy Concerns in 4IR: The Moderating Role of Trust in B2C e-Commerce

10.29007/jlq6 ◽  
2019 ◽  
Author(s):  
Thabang Mofokeng
Keyword(s):  
South Africa ◽  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Success Factors ◽  
Industrial Revolution ◽  
Emerging Market ◽  
Security And Privacy ◽  
Future Research ◽  
Privacy And Security ◽  
Customer Trust

The technology devices introduced in recent years are not only vulnerable to Internet risks but are also unable to elevate the growth of B2C e-commerce. These concerns are particularly relevant today, as the world transitions into the Fourth Industrial Revolution. To date, existing research has largely focused on obstacles to customer loyalty. Studies have tested e-commerce models guided by the establishment of trusting, satisfied and loyal consumers in various international contexts. In South Africa, however, as an emerging market, there has been limited research on the success factors of online shopping.This study examines the influence of security and privacy on trust, seen as a moderator of customer satisfaction, which in turn, has an effect on loyalty towards websites. Based on an exhaustive review of literature, a conceptual model is proposed on the relationships between security and privacy on the one hand, and customer trust, satisfaction and loyalty on the other. A total of 250 structured, self-administered questionnaires was distributed to a purposively selected sample of respondents using face-to-face surveys in Johannesburg, South Africa. A multivariate data analysis technique was used to draw inferences from the data. With an 80.1% response rate, the findings showed that privacy and security do influence customer trust; security strongly influences customer trust and weakly influences satisfaction. In South Africa, customer loyalty towards websites is strongly determined by satisfaction and weakly determined by trust. Trust significantly moderates the effect of customer satisfaction on loyalty. The study implications and limitations are presented and future research directions are suggested.

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