Scale-up modes: Profiling activity configurations in scaling strategies

Piaskowska, Dorota; Tippmann, Esther; Monaghan, Sinéad

doi:10.1016/j.lrp.2021.102101

Cited by 63 publications

(52 citation statements)

References 78 publications

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“…According to Monteiro (2019) and Love (2016), this validated business model characterizes scale-up startups, as this validation enables an expansion of the client base (Reuber, Tippmann, & Monaghan, 2021), generating recurrent revenues and the search for financial equilibrium (Sullivan, 2016). A validated business model also gives these startups the competitiveness needed for sustainable development (Piaskowska, Tippmann, & Monaghan, 2021). Their market gain and scale strategies are different from other companies' as the focus is mainly on increasing capacity to explore the business model that has been proven viable (Zhao, von Delft, Morgan-Thomas, & Buck, 2020).…”

Section: Elements Involved In the Startup Scalability Processmentioning

confidence: 99%

Main elements involved in the startup scalability process: a study on Brazilian agtechs

Ramos

Pedroso

2022

REGE

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PurposeThe study aimsto analyze the main elements associated with the evolution of Brazilian agtechs from the initial conception of the business model to becoming companies in the scale-up stage.Design/methodology/approachThe exploratory research was conducted based on data collected through in-depth interviews. The answers were analyzed quantitatively using descending hierarchical classification (DHC) and correspondence factor analysis (CFA) and qualitatively using content analysis.FindingsFive main elements were identified as responsible for the evolution of the companies up to their entering the scale-up phase: (1) governance, (2) decisions inherent to resource allocation, (3) monitoring of strategic, tactical and operational activities, (4) fostering human capital development and (5) business model validation. Each element presents a set of performance indicators that show the scalability of these companies.Practical implicationsThe model developed can help companies that have not yet advanced from the conception of the business model to the scalability of different sectors, in addition to agribusiness.Social implicationsProposal of a model that presents the main elements that impact on scalability and respective indicators that contributed to the scalability process of Brazilian agtechs.Originality/valueThis study contributed to advancing the knowledge on the organizational life cycle (OLC) of agricultural startups, particularly regarding the factors responsible for their scalability.

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Section: Elements Involved In the Startup Scalability Processmentioning

confidence: 99%

Main elements involved in the startup scalability process: a study on Brazilian agtechs

Ramos

Pedroso

2022

REGE

View full text Add to dashboard Cite

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“…It is necessary to invest more R&D and continuously carry out technological reforms. Therefore, the selection of evaluation indicators of asset quality also needs to be able to reflect the situation of intangible assets of companies [ 19 , 20 ]. According to the characteristics of start-ups, the evaluation indicators of asset quality are formulated, and the specific indicators selected are shown in Figure 3 .…”

Section: Bpnn and Evaluation Model Of Asset Qualitymentioning

confidence: 99%

The Application of Artificial Intelligence Technology in the Asset Management of Start-Ups in the Context of Deep Learning

2022

Computational Intelligence and Neuroscience

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With the coninuous improvement and development of artificial intelligence (AI) technology, this technology has been used in the asset management of companies. To improve the asset management level of Chinese start-ups, firstly, back-propagation neural network (BPNN) has been studied in depth, and an evaluation system of the company’s asset quality has been established. Secondly, the BPNN is integrated with the evaluation indicators of asset quality, and an evaluation model of asset quality based on BPNN is constructed. Next, start-up A is taken as the experimental object; the evaluation score of the asset quality of A company is input into the model, which proves that there is still a certain gap between the asset management level of start-ups and mature companies. Finally, to find out the problems of the company’s asset quality, the traditional financial analysis method is used to carry out a specific microanalysis of the evaluation indicators of its asset quality. In view of the existing problems, suggestions are put forward for prudent investment, improve inventory operation efficiency, increase investment in R&D and innovation, improve the quality of sales outlets, and increase the proportion of high-quality intangible assets. The asset quality evaluation system for start-ups established here includes 19 evaluation indicators. The BPNN-based asset quality evaluation model selects 5 mature companies in the same industry as sample companies. The scores of the evaluation indicators of asset quality of the 5 sample companies in the past three years are normalized and input into the model. The model contains 19 nodes of the input layer, 39 nodes of the hidden layer, and 1 node of the output layer. The target error rate is 0.001, the learning rate is 0.1, the number of training times is 1000, and the training function is the trainlm function. This research has a certain reference for the application of AI technology in the asset management of start-ups.

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“…Recent research has begun to explore the different ways in which technology ventures scale in the Global North (Piaskowska et al, 2021). At the same time, the ideal scaling strategy for ventures in emerging economies is hotly debated (e.g., .…”

Section: Research Opportunity 3: the Effect Of Entrepreneurial Strategies On Scalingmentioning

confidence: 99%

“…Rapid scaling strategies of technology ventures tend to pursue the "unicorn model", seeking to achieve a $1 billion valuation in the shortest time possible. This model is highly contingent on mature risk capital markets and sophisticated intermediaries who can broker investment deals large enough to boost growth without revenue (Piaskowska et al, 2021).…”

Section: Research Opportunity 3: the Effect Of Entrepreneurial Strategies On Scalingmentioning

confidence: 99%

Scaling Technology Ventures in Africa: New Opportunities for Research

Weiss¹,

Perkmann²,

Phillips³

2021

Preprint

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Research on new venture creation in Africa is growing rapidly. This increasing interest reflects both the potential for entrepreneurship to contribute to the economic and social development of Africa, as well as the potential for this research to provide new insights that challenge and extend theories developed primarily from studies of North American and European new ventures. In this editorial essay, we argue for an expansion of this important research stream to include a focus on how technology ventures scale in Africa. We identify seven topics that offer interesting opportunities for research on scaling in Africa: (1) the effect of venture location on scaling; (2) the effect of founding team diversity on scaling; (3) the effect of entrepreneurial strategies on scaling; (4) the effect of nascent ecosystems on scaling; (5) the effect of the institutional environment on scaling; (6) the effect of nascent financial markets on scaling; and (7) the societal effects of scaling. We discuss each of these topics, their potential to contribute to the existing literature, and provide examples of African technology firms that have scaled to illustrate each topic. We conclude with a discussion of how African social, political, and regulatory change, combined with rapidly developing entrepreneurial ecosystems, are creating a context where the successful scaling of technology ventures is becoming increasingly common, and research is therefore increasingly valuable.

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Scale-up modes: Profiling activity configurations in scaling strategies

Cited by 63 publications

References 78 publications

Main elements involved in the startup scalability process: a study on Brazilian agtechs

Main elements involved in the startup scalability process: a study on Brazilian agtechs

The Application of Artificial Intelligence Technology in the Asset Management of Start-Ups in the Context of Deep Learning

Scaling Technology Ventures in Africa: New Opportunities for Research

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