Entrepreneurial cognition and premature scaling of startups: a qualitative analysis of determinants of start-up failures

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
George C. Joseph ◽  
Nimitha Aboobaker ◽  
Zakkariya K.A.
Keyword(s):  
Decision Making ◽  
Cognitive Biases ◽  
Early Stage ◽  
Self Regulation ◽  
Behavioral Patterns ◽  
Content Type ◽  
Attitude Theory ◽  
Start Up ◽  
Entrepreneurial Cognition ◽  
Start Ups

Purpose This study aims to explore the behavioral patterns of entrepreneurs, their cognitive styles and personality characteristics that can lead to a self-destructive chain of events during the transition from a fledgling business to one capable of long-term, profitable growth. This study adopts the self-regulation attitude theory to uncover the reasons for premature start-up scaling, which will help founders to study on their cognitive biases, emotions and behaviors and make efforts to do what does not come naturally to them. Design/methodology/approach The respondents for this qualitative study were selected from a group of entrepreneurs with extensive experience with technology start-ups that have either failed or succeeded during their development stages. In-depth semi-structured interviews were conducted with eight participants, who were selected through snowball sampling, on the theme of understanding “How do premature scaling mistakes happen?”. Thematic analysis was used to unearth common themes. Findings The results of this study identified the following themes, “comparison,” “emotional over-reaction,” “impatience,” “mistaken customer priorities,” “overestimation” and “overconfidence,” which eventually leads to premature scaling. The underlying decision-making heuristics of entrepreneurs can be identified as engulfed in different cognitive biases and emotions resulting in negative behavioral patterns, as in the case of premature scaling. Of the six themes, “comparison,” “mistaken customer priorities,” “overestimation” and “overconfidence relates to cognitive bias” and “emotional over-reaction” and “impatience” relate to emotional factors. Research limitations/implications The study was made possible with the support of the voluntary participants chosen by purposive and snowballing data sampling. The interviewee and interviewer biases could have also crept in as part of this qualitative approach. The study pertains only to start-ups in the information technology sector and further studies need to be done to generalize the results across industries as well. Practical implications This early-stage underestimation of unexpected obstacles in the entrepreneurship journey necessitates a focus on the entrepreneur too, as much as the concept. In these hectic and fast-paced circumstances, aspiring entrepreneurs must be taught how to deal objectively with themselves and others, as well as think strategically. Leaders who scale do so because they take purposeful measures to overcome their weaknesses through self-discipline, soliciting advice from others and using their right to change their attitude and points of view. Originality/value The study frames the new approach into the entrepreneurial literature, linking it to self-regulation attitude theory and adds to the nascent literature on neuroentrepreneurship which discuss entrepreneurial cognition, decision-making, and entrepreneurial behavior. This study attempted to explore the reasons behind the premature scaling of startups on an individual level. This study is pioneering in exploring the cognitive factors underlying an entrepreneur’s decision that results in premature scaling. This study provides insights for academicians, entrepreneurs and policymakers and helps understand the cognitive journey that leads to premature scaling.

scholarly journals The early growth of start-ups: innovation matters. Evidence from Italy

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Raffaele Fiorentino ◽  
Sergio Longobardi ◽  
Alessandro Scaletti
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Firm Growth ◽  
Ad Hoc ◽  
Early Stage ◽  
New Ventures ◽  
Objective Measure ◽  
Content Type ◽  
Start Up ◽  
Start Ups

PurposeDespite the relevance of innovation in entrepreneurship literature, empirical research on the innovation-performance relationship in start-ups is underdeveloped and shows controversial results. To bridge this gap, the aim of this paper is to investigate the role of innovativeness on new venture performance in the early stage of the life cycle.Design/methodology/approachRegression modelling and propensity score matching are used to reveal systematic differences in growth between innovative start-ups (ISUPs) and non-innovative start-ups. We use an ad hoc dataset obtained through merging the financial database AIDA with data from administrative sources (Italian Chambers of Commerce and the Italian Ministry for Economic Development).FindingsThe results show that differences in growth can be explained by the different levels of innovativeness in new ventures. Moreover, unlike in prior studies, the innovation inputs matter more than innovation outputs. Indeed, the results support the idea that innovation policies can contribute to maximising the potential of start-ups.Practical implicationsThe findings provide suggestions for policy makers and entrepreneurs to help firms configure ex ante appropriate actions to support the growth of new ventures in the start-up stage.Originality/valueThis study is the first to use the new objective measure of start-up innovation, available from the Italian LD 221 register. Second, different types of innovation are investigated as antecedents of firm growth. Third, we employ propensity score matching, which favours revealing systematic differences in growth between ISUPs and non-innovative start-ups. Fourth, the results of our study are the first to offer evidence on the effectiveness of the new Italian sustaining ISUPs policy.

Empowering human resource functions with data-driven decision-making in start-ups: a narrative inquiry approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Deepkumar Varma ◽  
Pankaj Dutta
Keyword(s):  
Decision Making ◽  
Narrative Inquiry ◽  
Technology Implementation ◽  
Data Driven ◽  
Structured Interviews ◽  
New Paradigm ◽  
Data Driven Decision Making ◽  
Content Type ◽  
Start Up ◽  
Start Ups

Purpose Across industries, firms want to adopt data-driven decision-making (DDDM) in various organizational functions. Although DDDM is not a new paradigm, little is known about how to effectively implement DDDM and which problem areas to focus on in these functions. This study aims to enable start-ups to use DDDM in human resources (HR) by studying five HR domains using a narrative inquiry technique and aims to guide managers and HR practitioners in start-ups to enable data-driven decisions in HR. Design/methodology/approach This study adopts the narrative inquiry technique by conducting semi-structured interviews with HR practitioners and senior members handling HR functions in start-ups. Interview memos are thematically analyzed to identify repeated ideas, concepts or elements that become apparent. Findings The study findings indicate that start-ups need to have canned operational reports with right attributes in each of these HR domains, which members should use when performing HR tasks. Few metrics, like cost-to-hire in recruitment, distinctly surfaced relatively higher in importance that each start-up, should compute and use in decision-making. Practical implications Managers, HR practitioners and information technology implementation teams will be able to consume the findings to effectively design or evaluate HR processes or systems that empower decision-making in a start-up. Originality/value Start-ups have a fast-paced culture where creativity, relationships and nimbleness are valued. Prevalent decision models of larger organizations are not suitable in start-ups’ environments. This study, being cognizant of these nuances, takes a fresh approach to guide start-ups adopt DDDM in HR and identify key problem areas where decision-making should be enabled through data.

Journey's end: a dynamic framework of entrepreneurial processes and capitals relating to early stage business exit

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Richard Hanage ◽  
Pekka Stenholm ◽  
Jonathan M. Scott ◽  
Mark A.P. Davies
Keyword(s):  
Case Studies ◽  
Early Stage ◽  
Theory Building ◽  
Cross Sectional ◽  
Content Type ◽  
Dynamic Framework ◽  
Longitudinal Dynamic ◽  
Start Up ◽  
New Business ◽  
Start Ups

PurposeThe purpose of this paper is to respond to the call by McMullen and Dimov (2013) for a clearer understanding of entrepreneurial journeys by investigating the entrepreneurial capitals and micro-processes of seven young early stage entrepreneurs who all exited their businesses within 3 years of start-up.Design/methodology/approachThe authors analysed empirical data from concurrent in-depth interviews which generated rich longitudinal case studies. Theory-building then led to a proposed “Longitudinal Dynamic Process Framework” of entrepreneurial goals, processes and capitals.FindingsThe framework builds on prior studies by integrating entrepreneurial processes and decisions into two feedback loops based on continuous review and learning. It thereby enhances understanding of the dynamics of new business development and unfolds the early stage ventures entrepreneurs' business exits.Research limitations/implicationsThe findings are based on a small purposive sample. However, the main implication for research and theory is showing how the entrepreneurial capitals are dynamic and influenced by entrepreneurs' environment, and also separating entrepreneurs' personal issues from their business issues.Practical implicationsThe findings challenge some assumptions of policymakers and offer new insights for practitioners and early stage entrepreneurs. These include having more realistic case-studies of the entrepreneurial journey, recognizing the need to be agile and tenacious to cope with challenges, understanding how capitals can interact in complementary ways and that entrepreneurial processes can be used to leverage them at appropriate stages of the start-ups.Originality/valueThe concurrent longitudinal analysis and theory-building complements extant cross-sectional studies by identifying and analysing the detailed processes of actual business start-ups and exits. The proposed framework thereby adds coherence to earlier studies and helps to explain early stage entrepreneurial development, transformation of capitals and business exit.

What does a start-up need to grow? An empirical approach for Italian innovative start-ups

2019 ◽  
Vol 25 (2) ◽  
pp. 376-393 ◽  
Author(s):  
Niccolò Innocenti ◽  
Vincenzo Zampi
Keyword(s):  
Early Stage ◽  
Empirical Approach ◽  
Strategic Choices ◽  
Content Type ◽  
Public Investments ◽  
Start Up ◽  
Italian Provinces ◽  
Start Ups ◽  
D Investment ◽  
External Characteristics

PurposeThe purpose of this paper is to capture the role of internal and external characteristics in favouring the growth of innovative start-ups at an early stage of their life.Design/methodology/approachThe empirical approach of this paper is based on an econometric analysis applied to all Italian innovative start-ups with four and five years of life. Growth is analysed after four and five years from the constitution, depending on internal investments in research and development (R&D), in tangible assets and on characteristics external to the firm (110 Italian provinces) related to industrial variety, specialisation, public investments in R&D, etc.FindingsThe results achieved in this study reveal the importance of internal R&D investment even though there is missing evidence on the relevance of general and government specific R&D investment in the area. Other interesting results concern the importance of the firm’s involvement in the technological specialisation of the area and the need for general variety in technological diversification in the area to favour the growth of start-ups.Practical implicationsThe results imply that entrepreneurs should evaluate carefully their strategic choices in terms of the location of the start-up and the investment in R&D as these could be important factors for the firm’s growth.Originality/valueThis paper is an original attempt to measure the importance of both internal and external characteristics for the growth of start-ups. Moreover, the analysis covers the overall population of a new interesting category of firm, the innovative start-up.

When startups exit: comparing strategies in Europe and the USA

2018 ◽  
Vol 39 (3) ◽  
pp. 26-33 ◽  
Author(s):  
Alessia Pisoni ◽  
Alberto Onetti
Keyword(s):  
Early Stage ◽  
High Growth ◽  
High Tech ◽  
Venture Capitalists ◽  
Content Type ◽  
Early Exit ◽  
Start Up ◽  
The Usa ◽  
Local Companies ◽  
Start Ups

Purpose The purpose of this paper is to present an overview of trends toward start-up exits. Exits represent the “end phase” of the start-up process, at least for the founders and the early investors. For high-growth venture-capital-backed companies, exits are often considered the ultimate goal of building a profitable venture. These ventures are intended from the beginning to harvest the financial value created by the business at some point in the future, and return capital to early investors. Design/methodology/approach The authors tracked 5,744 merger and acquisition transactions that have occurred between European and US tech start-ups since 2012. Data are drawn from CrunchBase, the most comprehensive database of high-tech companies and investors with information on the companies and investors around the world. The authors then compared the trends of acquisitions between European and US companies. Findings Results show that US companies are far more inclined to make acquisitions than European ones. Acquirers of start-ups, both from Europe and the US, prefer to buy local companies. However, recently, US companies have started to show more interest in European start-ups. Thus, signaling that the European start-up ecosystem is growing and becoming more attractive for US buyers. Furthermore, results show that start-up exits typically happen within a few years after a company’s establishment. Research limitations/implications The research does not take into consideration the price of the transaction, or the amount of capital invested by venture capitalists in the high-tech start-ups that have been acquired. Further research should address this specific problem by helping European start-ups understand how to plan the exit phase within few years from establishment. Practical implications The results have important implications both for entrepreneurs/managers and policymakers. Early exit appears to be a global trend among start-ups. This suggests that the exit phase should be properly planned to happen in the very early stage of the start-up process. On the other hand, the research also shows that there is still a gap to be filled in the European start-up ecosystems’ ability to produce exits and create new large innovative companies (the so-called “unicorns”). Originality/value To date, there has been a little research about exits for young high-tech ventures. This paper will attempt to shed new light on this so far under-explored issue by specifically analyzing exits as financial strategy for investors and entrepreneurs.

scholarly journals Understanding the accelerator from resources-based perspective

2018 ◽  
Vol 12 (3) ◽  
pp. 258-278 ◽  
Author(s):  
Chul Hyun Uhm ◽  
Chang Soo Sung ◽  
Joo Yeon Park
Keyword(s):  
Early Stage ◽  
Point Of View ◽  
Success Rates ◽  
Access To Resources ◽  
Content Type ◽  
Study Approach ◽  
Start Up ◽  
The Usa ◽  
Start Ups

Purpose This study aims to explore Accelerators and their practices in sustaining start-ups within their innovative programs for these companies based on the resource-based perspective. Moreover, with an ever-increasing demand for Accelerators amongst start-up companies, this study also demonstrates the importance of Accelerators, as it pertains to new venture creation. Design/methodology/approach This research uses an exploratory case study approach to examine a comparative view of leading Accelerator companies in the USA and Korea based on resource support. Findings The results of this study show that there are a number of differences between Accelerators of the two countries in terms of the resources they support for early-stage start-ups. The findings also show some similarities. However, in Korea, the Accelerator landscape is limited, where mentorship, resources and investments are not readily accessible, resulting in low success rates for Korean start-up companies. These limitations have had a negative trickle-down effect when providing entrepreneurs with strong access to resources and investors, which highly affects the success rates of early-stage start-ups. Practical implications In terms of the resource-based theory, this study contributes to the growth of early start-ups by emphasizing the role of the accelerator and suggesting the extent and impact that entrepreneurs have access to resources and investors. Originality/value With significant growth in start-ups around the world, the necessity for start-up funding and mentorship has increased drastically. Start-up companies need various types of assets, systems, knowledge and information to achieve their goals. In Accelerators, start-ups receive all the aforementioned resources while also improving their entrepreneurial skills. Start-up companies have many options in seeking investors who support both tangible and intangible resources to boost growth. While there is a wealth of information on traditional funding methods, there are few studies that shed light on the role of Accelerators from the resource-based point of view.

scholarly journals Making sense of business analytics in project selection and prioritisation: insights from the start-up trenches

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Efpraxia D. Zamani ◽  
Anastasia Griva ◽  
Konstantina Spanaki ◽  
Paidi O'Raghallaigh ◽  
David Sammon
Keyword(s):  
Decision Making ◽  
Business Model ◽  
Project Selection ◽  
Decision Making Process ◽  
Business Analytics ◽  
Multiple Perspectives ◽  
Content Type ◽  
Start Up ◽  
Sensemaking Process ◽  
Start Ups

PurposeThe study aims to provide insights in the sensemaking process and the use of business analytics (BA) for project selection and prioritisation in start-up settings. A major focus is on the various ways start-ups can understand their data through the analytical process of sensemaking.Design/methodology/approachThis is a comparative case study of two start-ups that use BA in their projects. The authors follow an interpretive approach and draw from the constructivist grounded theory method (GTM) for the purpose of data analysis, whereby the theory of sensemaking functions as the sensitising device that supports the interpretation of the data.FindingsThe key findings lie within the scope of project selection and prioritisation, where the sensemaking process is implicitly influenced by each start-up's strategy and business model. BA helps start-ups notice changes within their internal and external environment and focus their attention on the more critical questions along the lines of their processes, operations and business model. However, BA alone cannot support decision-making around less structured problems such as project selection and prioritisation, where intuitive judgement and personal opinion are still heavily used.Originality/valueThis study extends the research on BA applied in organisations as tools for business development. Specifically, the authors draw on the literature of BA tools in support of project management from multiple perspectives. The perspectives include but are not limited to project assessment and prioritisation. The authors view the decision-making process and the path from insight to value, as a sensemaking process, where data become part of the sensemaking roadmap and BA helps start-ups navigate the decision-making process.

Student entrepreneurship ecosystems at Australian higher education institutions

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alex Maritz ◽  
Quan Nguyen ◽  
Sergey Ivanov
Keyword(s):  
Higher Education ◽  
Higher Education Institutions ◽  
Entrepreneurship Education ◽  
University Student ◽  
Content Type ◽  
Student Entrepreneurship ◽  
Start Up ◽  
Entrepreneurship Ecosystems ◽  
Start Ups ◽  
The Impact

PurposeDespite the significance, university student start-ups and student entrepreneurship ecosystems (SEEs) have been subject to little research. This study aims to apply a qualitative emergent enquiry approach to explore best practice SEEs in Australia, complimented by narratives from leading scholars in higher education institutions with the aim of delineating the integrative components of SEEs.Design/methodology/approachAdopting the entrepreneurial ecosystem framework and aligned to the social cognitive theory, this paper explores the components and dynamics of SEEs, contributing to an understanding of how such components can better support the growth, sustainability and success of student start-ups. The authors extend entrepreneurship research on social construction using narrative research.FindingsThe findings provide guidelines for researchers, entrepreneurship scholars and educators, entrepreneurship students, policymakers and practitioners to enhance the impact and success of university student start-ups by adopting a student ecosystem approach.Research limitations/implicationsThe narratives represent a limited number of universities with an opportunity for further research to empirically measure the impact and outcomes of SEEs. The research is exploratory, inherently conceptual and emergent, providing an opportunity for validation of narrative frameworks in future studies.Practical implicationsThe findings may assist university managers to be more aware of their own subconscious preferences to student entrepreneurship and start-up initiatives, which may be useful in refining their impact and offerings regarding a quest toward the entrepreneurial university.Social implicationsFrom social perspectives, the alignment of the components of SEE has the ability to enhance and shift the entrepreneurial mindset of entrepreneurship students, notwithstanding enhancement of intentionality and self-efficacy.Originality/valueThis is the first study of SEEs in Australia, highlighting the importance of the integration of entrepreneurship education programs, entrepreneurship education ecosystems, the entrepreneurial university and specific start-up initiatives such as university accelerators. Furthermore, students may enhance their entrepreneurial mindset by actively engaging in such ecosystems.

An axiological measure of entrepreneurial cognition

2019 ◽  
Vol 25 (2) ◽  
pp. 394-412 ◽  
Author(s):  
Clifford G. Hurst
Keyword(s):  
Early Stage ◽  
Sense Of Self ◽  
Value Theory ◽  
Assessment Instrument ◽  
Empirical Measure ◽  
Senior Managers ◽  
Content Type ◽  
Entrepreneurial Cognition ◽  
Thought Patterns ◽  
Human Function

Purpose The purpose of this paper is to expand the recent lines of inquiry into entrepreneurial cognition by focusing on the structure of values as an important aspect of cognition. Value theory, or axiology, posits that the capacity to value and to make value judgments is a distinctly human function – one that is a higher order process than is pure cognition alone. Design/methodology/approach This study is designed as a quantitative discovery. A well-established assessment instrument from the field of value science is used to measure deep-seated, evaluative thought patterns for a sample of founders of early stage startups and a comparative sample of senior managers. Value structures underlying cognition for individuals across these samples are compared to reveal both similarities and differences between the groups. Findings This study identifies a cognitive process underlying opportunity recognition, evaluation and exploitation, known as integration. This study finds that entrepreneurs have stronger capacities for integrative thinking than do managers. In contrast to other published research, this study finds that early stage entrepreneurs are not characterized by hubris, an inflated sense of self-efficacy, nor an exceptional capacity for action. Originality/value This paper extends the study of entrepreneurial cognition by applying an empirical measure of the foundational levels of cognition. It reveals heretofore unarticulated differences, as well as similarities, between entrepreneurs and managers.

Creating space and time for innovation - a methodology for building adaptation design appraisal using physics-based simulation tools and interactive multi-objective optimization

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sheida Shahi ◽  
Philip Beesley ◽  
Carl Thomas Haas
Keyword(s):  
Decision Making ◽  
Early Stage ◽  
Design Decision ◽  
Stage Design ◽  
Content Type ◽  
Simulation Tools ◽  
Building Adaptation ◽  
Early Stage Design ◽  
Physics Based Simulation ◽  
Practical Implications

PurposeIt is crucial to consider the multitude of possible building adaptation design strategies for improving the existing conditions of building stock as an alternative to demolition.Design/methodology/approachIntegration of physics-based simulation tools and decision-making tools such as Multi-Attribute Utility (MAU) and Interactive Multi-objective Optimization (IMO) in the design process enable optimized design decision-making for high-performing buildings. A methodology is presented for improving building adaptation design decision making, specifically in the early-stage design feasibility analysis. Ten residential building adaptation strategies are selected and applied to one primary building system for eight performance metrics using physics-based simulation tools. These measures include energy use, thermal comfort, daylighting, natural ventilation, systems performance, life cycle, cost-benefit and constructability. The results are processed using MAU and IMO analysis and are validated through sensitivity analysis by testing one design strategy on three building systems.FindingsQuantifiable comparison of building adaptation strategies based on multiple metrics derived from physics-based simulations can assist in the evaluation of overall environmental performance and economic feasibility for building adaptation projects.Research limitations/implicationsThe current methodology presented is limited to the analysis of one decision-maker at a time. It can be improved to include multiple decision-makers and capture varying perspectives to reflect common practices in the industry.Practical implicationsThe methodology presented supports affordable generation and analysis of a large number of design options for early-stage design optimization.Originality/valueGiven the practical implications, more space and time is created for exploration and innovation, resulting in potential for improved benefits.

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