Search results

In the current recession, cost cutting alone will not enable companies to survive the recession and thrive beyond it. Companies need fresh ideas on how to continue their internal corporate venturing activities, but at lower cost and reduced exposure to risk. This paper aims to investigate this issue.

To provide corporate leaders with guidance on best practices for managing growth ventures, Strategy & Leadership interviewed internationally recognized authority, Rita G. McGrath, co‐author of Discovery‐driven Growth.

McGrath offers many tips and insights – from how to address customers' needs to building an organization capable of routinely producing discovery‐driven growth.

Companies want to be extracting resources from flat, slow‐growth or increasingly irrelevant lines of business in order to redirect them toward more valuable, higher‐growth and higher potential areas. Growth ventures can help companies identify where the future resources should go, as well as create a culture of constant investment in the future.

McGrath discusses important tools and techniques she and her colleagues have developed for assessing and managing discovery‐driven growth projects.

Extant literature on entrepreneurial cognition declares that entrepreneurs who are confident in their ability to design a new business perform better than entrepreneurs who lack such a self-perception of efficacy. This is swagger. A different set of literature, including Discovery-Driven Planning, Design Thinking, and Lean Startup Method, recommends that entrepreneurs create, confirm, or reject hypotheses to design and refine the specific elements of their business model. This is the scientific method.

This article used survey data from 353 participants in an international business pitch competition to connect these two literatures. We found that the number of hypotheses that the entrepreneur elucidated and confirmed were linked to business model performance. Counter-intuitively, the number of hypotheses rejected by the entrepreneur showed the strongest relationship to success. We found no significant relationship between the number of interviews that an entrepreneur conducted and the business model’s performance: more effort was not always helpful.

Although we found no direct connection between an entrepreneur’s self-efficacy in searching for a new idea and the business model’s eventual success, entrepreneurs with high levels of this narrow form of self-­confidence were more likely to perform the constructive actions of elucidating, confirming, and rejecting hypotheses. In summary, swagger leads to science, and science leads to success.

Business model innovation (BMI) constitutes a priority for managers across industries, but it represents a notoriously difficult innovation, with several challenges, many of which are cognitive in nature. The received literature has variously suggested that one way to overcome challenges to BMI, including cognitive ones, and support the cognitive tasks is using visual representations. Against this background, we aim at offering a contribution to the emerging line of inquiry at the nexus between business models (BMs), cognition and visual representations. Specifically, we develop a new method for visual representation of the BM in support of simplification of the cognitive effort and neutralisation of cognitive barriers. The resulting representation – a network-based representation, anchored on the activity-system perspective and offering complementarity and centrality/periphery measures – allows to visually represent an existing BM as a network (nodes and linkages) of interdependent activities and to express information related to the degree of centrality/periphery of single activities (nodes) with respect to the rest of a BM configuration. This information, we argue, is potentially very valuable in supporting the cognitive tasks involved in business model reconfiguration (BMR). We guide the reader to progressively appreciate how the development of the proposed method for visual representation is anchored to two main characteristics of BMR, namely the discovery-driven nature of BMR and the path-dependent nature of BMR. We offer initial insights on the cognitive value of such a type of representation in relationship to the simplification of the cognitive effort and the neutralisation of cognitive barriers in BMR.

This case is written for those people who are interested in entrepreneurship, and to generate discussions on the Lean Start-up methodology, as well as other topics related to entrepreneurship and innovation.

It can be used with senior undergraduates, MBAs, EMBAs and senior executives.

In August 2011, Mars Ren and Gene Deng created a technology-based venture, Shanghai Tianhailu Network Information Technology Ltd. Filled with passion, they aspired to be the first “factory outlet” in China' hotel booking industry. To achieve this goal, they developed the Hotelvp app for mobile users. After 6:00 p.m. every day, users could book accommodation online in hotels above three-star standard for that same night at significant discounts. Hotels also benefited because they could sell their unsold room nights at the last minute and improve their revenue management. Ren and Deng were convinced that this win-win idea would take off. Unfortunately, it failed to fully satisfy either the users or the hotels. In spite of the founders' passion and energy, it was still acquired by a much more powerful player in the online sector, JD.com, in early 2014. This case is designed to stimulate in-depth discussions based on the question: What are the key obstacles when launching a startup and how to overcome them?

Through class discussion, it aims at teaching the student how to define and practice a start-up idea successfully by following the “Lean Start-up” methodology and/or take advantage of a practical tool, discovery-driven planning. Specifically, this case intends to teach students how: To identify and define a good start-up idea; To take actions based on the idea/opportunity, iterate and modify it along the way to create new start-ups, and finally lead the new start-ups to grow and succeed; To understand the key concepts, frameworks and theoretical logics of Lean Start-up methodology, and apply it in practice.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

The primary goal of a startup is to find a viable business model that can generate value for its customers while being effectively captured by the startup itself. This business model, however, is not easily defined, being a consequence of the application of tools involving trials, data analyses and testing. The Lean Startup (LS) methodology proposes a process for agile and iterative validation of business models. Given the popularity and importance of such methodology in professional circles, the purpose of this paper is to conduct a historical literature review of existing academic and professional literature, correlating LS concepts and activities to previous theory and alternative business model validation methods.

A historically oriented systematic literature review employing snowball sampling was conducted in order to identify academic and professional literature and references for iterative validation of business models. A total of 12 scholarly journals and professional magazines dealing with strategy, innovation, entrepreneurship, startups and management were used as data sources. The extensive literature review resulted in 963 exploratory readings and 118 papers fully analyzed.

The results position the LS as a practical-oriented and up-to-date implementation of strategies based on the Learning School of strategy making and the effectuation approach to entrepreneurship; the authors also identify a number of methods and tools that can complement the LS principles.

This paper identified and synthesized the scientific, academic and professional foundations that precede, support and complement the main concepts, processes and methods advocated by the LS methodology.

An interview with Rita McGrath a pioneer of “discovery-driven planning,” now widely recognized as one of the most effective approaches for strategy development in the face of uncertainty.

Her research and experience interacting with executive teams positions her to offer corporate leaders practical perspectives and advice on how to approach strategically the great opportunities and dangers that lie ahead in this VUCA environment.

Major inflection points that create real change unfold gradually, then suddenly. Because they do take a while to unfold, an astute strategist who was paying attention to the signs could take advantage of the inflection. The future doesn’t happen all at once. It begins to unfold unevenly, and if you can “interview” where it is starting to take place now, you can begin to develop an early point of view about it.

There’s no substitute for watching how customers interact with your product or service and listening to their conversations about their experience.

McGrath’s thesis is when an inflection point does indeed reach a tipping point, it can feel as though it came out of nowhere. Her advice: if you are making a series of small options-style investments that are at the “edges” of your mainstream activities, you are likely to pick up on weak signals that allow you to, in an optimistic scenario, surf along an inflection point so that when the opportunity presents itself, you can move with speed to capture an advantage.

This paper aims at proposing knowledge translation as an element of business model design that can support entrepreneurs in achieving alignment and collaboration between entrepreneurial teams and external stakeholders.

The conceptual model presented in the paper is developed from the literature review and draws mainly on two streams of work as follows: first, the contributions related to the lean start-up methodology initially developed by Blank and Ries and second, the work of Osterwalder and Pigneur on business models and its subsequent developments. In addition, we draw on key insights from the entrepreneurship and organizational learning literature, such as discovery-driven planning and disciplined entrepreneurship.

The continuous validation framework (CVF) is introduced, posing the attention on underlining knowledge-translation mechanisms to decode complex concepts related to new venture creation.

The authors propose a new framework (the CVF) as an effective translational tool because it is a visual diagram that allows entrepreneurs to translate complex and technical ideas into a format that is more understandable for external audiences. Additionally, for each step of the CVF, specific translational mechanisms are defined and discussed, as each stage of the CVF presents specific translational challenges that result in outcomes that differ from stage to stage.

The purpose of this paper is to describe the application of scenario planning methods to: identifying disruptive innovations at an early stage, mapping out potential development paths for such innovations, and building appropriate organizational capabilities.

A combination of scenario planning with technology road‐mapping, expert analysis and creative group processes. The techniques described can be integrated with traditional tools of strategic technology planning. The paper presents a short illustrative case study and examples from practice.

Scenario techniques can be successfully applied to analysing disruptive innovation.

Scenario techniques help guide managers to more effective decision making by preparing for a wide range of uncertainty and by counteracting typical biases of over‐optimism and decision “framing”. The techniques presented can be used in executive development and in strategic planning for innovative and high‐tech industries.

This paper presents a novel way to combine scenario methods with technology road‐mapping and creative group analysis. It also provides an overview of the literature and research related to scenario planning for disruptive innovation.

Although business incubators are widely used support mechanisms for innovative entrepreneurship, the literature still lacks theoretically based explanations of how the incubation process creates value for stakeholders. This study aims to address this gap by developing a conceptual model, and related research propositions, that explains how the entrepreneurial logic in use by an incubator influences the incubation process (selection criteria and service offering) and performance.

Integrating the effectuation and entrepreneurial opportunities literature, which shares common conceptualizations about how the predictability of the future affects entrepreneurial action, the authors posit two archetypes of entrepreneurial logic that are associated with different incubation processes (causal or effectual) and two archetypes of opportunity attributes (discovery- or creation-based) that affect the incubation process needed to support their development.

Juxtaposing these archetypes, the proposed cross-level conceptual model specifies four levels of fit (ideal, surplus, deficit and mismatch) between the incubation process and the opportunity attributes of individual ventures, which directly influence venture performance (high, moderate and low). In turn, an incubator's performance is largely shaped by the overall performance of ventures in its portfolio.

This paper responds to the call for theory-building that links the antecedents and outcomes of the incubation process across levels of analysis. In addition to developing a conceptual model and research agenda at the intersection of entrepreneurship and business incubation, the proposed model also has implications for incubator directors deciding how to allocate limited resources, and for public/private sector administrators interested in leveraging investment in business incubators.