scholarly journals Antecedents to cognitive business model evaluation: a dynamic managerial capabilities perspective

2021 ◽  
Author(s):  
Tim Heubeck ◽  
Reinhard Meckl
Keyword(s):  
Social Capital ◽  
Business Model ◽  
Global Economy ◽  
Business Models ◽  
Strategic Change ◽  
Business Model Innovation ◽  
Data Set ◽  
Dynamic Managerial Capabilities ◽  
Human And Social Capital ◽  
Managerial Capabilities

AbstractThe increasing misalignment between the technological and economic domains in today’s digitalized global economy puts managers under constant pressure to redesign firms’ business models. Business model innovation has thus become a critical managerial challenge to develop and sustain competitive advantages. Building on the dynamic managerial capabilities perspective, we argue that managers are at the heart of strategic change through business model innovation. We hypothesize that decision-making regarding business model innovation is the outcome of how managers cognitively process information. We further reason that while managerial human capital and social capital reinforce each other, they also promote managers’ ability to consciously evaluate options for business model innovation. Our empirical study builds on a sample of firms operating primarily within the Industry 4.0 sector. The results significantly confirm managerial human and social capital as two crucial antecedents to cognitive business model innovation. Contrary to the literature, the data set does not show a significant positive relationship between managerial human and social capital. Our main contributions to the literature are twofold; from a methodological perspective, we are one of the first to construct a multidimensional measurement of dynamic managerial capabilities, while from a theoretical and practical perspective, our findings further underline the relevance of dynamic managerial capabilities for business model innovation. Finally, we discuss theoretical and practical implications and propose future avenues for research.

Knowledge-driven business model innovation through the introduction of equity investment: evidence from China’s primary market

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiali Zheng ◽  
Han Qiao ◽  
Xiumei Zhu ◽  
Shouyang Wang
Keyword(s):  
Business Model ◽  
Business Models ◽  
Learning Algorithm ◽  
Empirical Studies ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Business Model Innovation ◽  
Data Set ◽  
Equity Investment ◽  
Content Type

Purpose This study aims to explore the role of equity investment in knowledge-driven business model innovation (BMI) in context of open modes according to the evidence from China’s primary market. Design/methodology/approach Based on the database of China’s private market and data set of news clouds, the statistic approach is applied to explore and explain whether equity investment promotes knowledge-driven BMI. Machine learning method is also used to prove and predict the performance of such open innovation. Findings The results of logistic regression show that explanatory variables are significant, providing evidence that knowledge management (KM) promotes BMI through equity investment. By further using back propagation neural network, the classification learning algorithm estimates the possibility of BMI, which can be regarded as a score to quantify the performance of knowledge-driven BMI Research limitations/implications The quality of secondhand big data is not very ideal, and future empirical studies should use first-hand survey data. Practical implications This study provides new insights into the link between KM and BMI by highlighting the important roles of external investments in open modes. Social implications From the perspective of investment, the findings of this study suggest the importance for stakeholders to share knowledge and strategies for entrepreneurs to manage innovation. Originality/value The concepts and indicators related to business models are difficult to quantify currently, while this study provides feasible and practical methods to estimate knowledge-driven BMI with secondhand data from the primary market. The mechanism of knowledge and innovation bridged by the experience from investors is introduced and analyzed.

scholarly journals Entrepreneurial lean thinking for sustainable business modeling: a workshop design for incumbent firms

2021 ◽  
Author(s):  
E. J. Schwarz ◽  
P. Gregori ◽  
I. Krajger ◽  
M. A. Wdowiak
Keyword(s):  
Business Model ◽  
Business Models ◽  
Business Model Innovation ◽  
Opportunity Identification ◽  
Sustainable Business ◽  
Lean Thinking ◽  
Business Modeling ◽  
Innovation Research ◽  
Political Debates ◽  
Negative Environmental Impact

AbstractIn times of increasing concerns and extensive political debates about social and environmental problems, incumbent firms are obliged to reduce their negative environmental impact by implementing sustainable business model innovation. Yet, realizing more sustainable business model variants entails several complexities and associated challenges that need to be overcome. To support this task, this article takes an entrepreneurship perspective on sustainable business model innovation and combines literature of business models and entrepreneurial lean thinking (ELT). In doing so, it derives a workshop design grounded in contemporary theory with state-of-the-art tools and methods. The workshop is framed as a stage-gate process facilitating the notions of ELT with iterative cycles of ‘create, test, and improve’ and spans the phases of opportunity identification, opportunity evaluation, opportunity development through sustainable business model design, and decision of opportunity exploitation. The article shows that ELT is an appropriate yet underutilized approach for sustainable business modeling. Further, it discusses how the workshop supports opportunities and mitigate pitfalls of ELT for sustainable business modeling. As such, the findings have theoretical implications for the intersection of sustainability and lean approaches in innovation research as well as implications for practitioners by providing a comprehensive framework to support sustainable business model innovation.

scholarly journals Secondary Business Model Innovation in Emerging Economies

2021 ◽  
pp. 1-30
Author(s):  
Sonia Mehrotra ◽  
S. Ramakrishna Velamuri
Keyword(s):  
Organizational Learning ◽  
Business Model ◽  
Emerging Economies ◽  
Business Models ◽  
Business Model Innovation ◽  
Street Vendors ◽  
China And India ◽  
Successful Business ◽  
Quick Service

ABSTRACT We study two quick-service restaurant (QSR) chains based on regional ethnic foods that were launched in China and India. The products that these QSR ventures offered had hitherto been sold by fragmented street vendors who typically operated single outlets. Inspired by the successful business models of international QSR brands, these entrepreneurs developed business models to popularize their chosen regional ethnic foods in multiple new regions and grew their organizations to 1,400 and 300 outlets in China and India, respectively. We build on the recently coined concept of ‘secondary’ business model innovation (SBMI), which is based on inter-organizational learning, break down its constituents into creative and imitative, specify the mechanisms through which it is achieved, and propose that it is a specific case of the more general construct of creative imitation.

scholarly journals Equipment Maintenance Business Model Innovation for Sustainable Competitive Advantage in the Digitalization Context: Connotation, Types, and Measuring

2018 ◽  
Vol 10 (11) ◽  
pp. 3970 ◽  
Author(s):  
Juhong Chen ◽  
Ruijun Zhang ◽  
Di Wu
Keyword(s):  
Competitive Advantage ◽  
Business Model ◽  
Business Models ◽  
Economic Benefits ◽  
Business Model Innovation ◽  
Equipment Maintenance ◽  
Sustainable Competitive Advantage ◽  
Structured Interviews ◽  
Profit Center ◽  
Manufacturing Enterprises

The equipment maintenance services have become a new profit center and an important way to gain sustainable competitive advantage for manufacturing enterprises. The business model is an important tool for manufacturing enterprises to derive economic benefits from sustainable competitive advantage in the context of digitalization technologies, such as IoT, big data, and cloud computing. At present, the concept of equipment maintenance business model innovation is still vague, and it is rare to report on the innovation behaviors and types of equipment maintenance business models adopted by manufacturing enterprises. Based on literature analysis of equipment maintenance services and business model innovation, following business model gestalt theory, the concept of equipment maintenance business model innovation is analyzed at the business-level, the types are divided into novel and efficient following value sources—“innovation and efficiency”. The initial scale is developed through literature investigation, semi-structured interviews and expert reviews, and tested by exploratory and confirmatory factor analysis by using the data of two independent large-sample questionnaires. The results indicate that the behavior and types of equipment maintenance business model innovation can be described by two types and 19 items.

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 The Green Multi Business Model Innovation Brain

2021 ◽  
Author(s):  
Peter Lindgren
Keyword(s):  
Business Model ◽  
Business Models ◽  
Business Model Innovation ◽  
Green Technologies ◽  
Sustainable Business ◽  
Case Examples ◽  
Innovation Potential ◽  
Business Modelling ◽  
Model Ecosystems ◽  
Green Business

Advanced Green technologies integrated in Business Models and Green Multi Business Model Innovation processes introduce a new leadership and management agenda of Green Business Models. Fast innovation of sensing, persuasive and virtual Business Modelling that can operate autonomously and dynamically primarily lead by machines. Green Multi Business Model Innovation Brains will soon be the state of the art in Business that want to become Green – but also for businesses that want to do circular and/or sustainable business modelling. Businesses will build Green Multi Business Model Innovation competence and advanced Green Multi Business Models Innovation Brains capable to innovated and operate Green Business Models to all kinds of Business Model Ecosystems. This will open up to new Green Multi Business Model Innovation potential and create a new generation or archetypes of Business Models, new practice of Multi Business Model Innovation. The paper is a second articles and extension of a conceptual paper on Multi Business Model Brains. First paper was presented at the BIT Sindri IEEE Conference 2020 conceptualizing on how a Multi Business Model Brain could be constructed and would operate supported by advance sensor technologies, artificial intelligence technologies, deep learning, persuasive technologies, Multi Business Model Innovation pattern analysis and libraries of BM archetypes. In combination they will all be important supporting tools to the Multi Business Model Innovation Brain – but now also to the Green Multi Business Model Innovation Brain. 8 case examples shows how Green Multi Business Model Innovation Brains can work in different contexts – in physical, digital, virtual and combined Business Model ecosystems.

IBM's global CEO report 2006: business model innovation matters

2006 ◽  
Vol 34 (5) ◽  
pp. 34-40 ◽  
Author(s):  
George Pohle ◽  
Marc Chapman
Keyword(s):  
Financial Performance ◽  
Business Model ◽  
Business Models ◽  
Business Model Innovation ◽  
Content Type ◽  
Revenue Growth ◽  
Business Executives ◽  
Operating Margin ◽  
Operational Innovation ◽  
Study Participants

PurposeTo ascertain whether the choices CEOs were making about particular types of innovation and key enablers had any correlation with financial performance, IBM looked at a subset of our sample where publicly reported financial information was available.Design/methodology/approachThe findings in this report are based on in‐depth, consultative interviews on the topic of innovation with 765 CEOs, business executives and public sector leaders from around the world.FindingsFor a subset, the authors compared their financial performance to that of an industry‐accepted list of their nearest competitors (up to ten companies with similar revenue and publicly available information). Some of their competitors were CEO study participants, but most were not. By taking a five‐year view, the researchers were able to identify which companies outperformed and under‐performed the average revenue growth, operating margin growth and historical operating margins of their closest competitors.Research limitations/implicationsThroughout the analysis, IBM used these top‐half and bottom‐half groupings to look for notable financial correlations. In this report, the term outperformers refers to the study participants that are in the top 50 percent based on this competitive comparison, and under‐performers are those that fall in the bottom 50 percent.Practical implicationsThe authors report on how business leaders are seeking and finding new ways to adapt their business models to remain competitive in their current industry – or to seek growth by entering new industries.Originality/valueCompanies focusing on business model innovation have enjoyed significant operating margin growth, while those using products/services/markets and operational innovation have sustained their margins over time.

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