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The purpose of this study is to identify the business strategies that entrepreneurs have formulated to establish the business with the intention of scaling up in the information technology (IT) sector in Chile, given that they have managed to scale up sustainably at an average annual rate of 73.3% and an average annual employee growth rate of 37% for four consecutive years after an establishment period of 25 months.

Three methodological steps were used to identify which strategic initiatives are relevant to the establishment of small- and medium-sized enterprises (SMEs) on the path to scaling up. The first part consisted of identifying the literature and defining the research propositions and research questions. The second part was to prepare, collect and analyse the data to conduct the research by applying, transcribing, reviewing and coding the sources of evidence to explore how SMEs are able to develop strategic initiatives for the start-up process. The final stage was to validate the research proposal to identify potential strategic initiatives identified during the multi-case study.

As a result of the data analysis and empirical findings, three deliberate strategic initiatives were identified: staying engaged with customers, delivering successful business solutions and articulating social capital. However, in crisis situations, entrepreneurs readjust their strategies based on their management skills and an emergent strategic initiative was identified as securing the financial structure and revolutionising change. While this research was not designed to identify personal attributes, it did highlight the importance of adaptation and learning as a skill to drive the business model for scaling up during the establishment of their business.

It is clear that the study focused on Chile and cannot be replicated in other regions or sectors due to the characteristics of the sample itself, but it provides empirical evidence that there are cycles prior to scale up that need to be understood. The findings were empirically validated during the establishment phase, but the deliberate and emergent strategic initiatives that consolidated the SME to prepare for its scale-up process are not evident in the theory.

The IT sector will continue to grow and change after the pandemic, and the global economy will use more digital systems, creating new ways of working with the use of IT. This context will impact on SMEs where strategies, whether deliberate or emergent, will need to be part of the new business models, and therefore, caution should be exercised when using the results of this study. Public and private institutions should educate and guide entrepreneurs for the potential scaling up of their SMEs without having to wait 42 months, according to Global Entrepreneurship Monitor 2021-2022 (Hill et al., 2022). Scaling up can begin as early as 25 months after establishment, breaking the paradigm of the theory that the SME must be established in a period of 3.5 years. This period cannot be generalised as business opportunities in the IT sector are faster. The research also contributes by reporting that contingency planning is relevant during the establishment phase.

Educational institutions and the public sector have made efforts to change business cultures regarding the importance of strengthening entrepreneurship, but teaching the emergent strategies that often challenge SME creation is not yet widespread in educational formats. This is a challenge not only for institutions but also for entrepreneurs trying to anticipate the constant changes in the global economy. This research provides an opportunity to create more dynamic business models with more conscious risk planning.

Although the literature has confirmed the findings, this research has provided a pre-scaling picture that links these two important stages on the axis of deliberate and emergent strategies. The findings confirm the importance of correctly embedding five strategic initiatives for the establishment of the SME if it is to continue on its journey towards business scale-up. However, there is a lack of empirical evidence in emerging economies on how entrepreneurs have found the right path to scale-up.

Scale-ups have a crucial role in our society and economy, are known for their fast growth and high performance and undergo significant organizational change. Research on the organizational elements that ensure scale-ups sustaining high performance is limited. This empirical study aims to investigate the organizational culture in scale-ups using the Competing Values Framework, including the clan, adhocracy, the market, hierarchy cultures and its relation to performance.

Quantitative and qualitative data were collected in five scale-ups. Surveys provided data of 116 employees on organizational culture, assessed using the Organizational Culture Assessment Instrument (OCAI) and perceived performance. The aggregate outcomes and performance measures were analyzed using correlation analysis. Interviews were held with ten top managers and mirrored against the quantitative data.

The results show that top managers and employees have different perspectives on the culture scale-ups are supposed to have. Top managers perceive market culture as more and hierarchy culture as less present in their organizations than employees. The clan and adhocracy culture are positively correlated to performance and are preferred by employees. Market and hierarchy culture types are negatively correlated to performance and are least preferred by employees.

It enables scale-up leaders to specifically intervene when cultural elements are experienced by employees that will not drive performance and fit the high performance and fast-growing scale-up environment.

This study is the first that showed that organizational-wide surveys, combined with in-depth interviews, are suitable for top managers of scale-ups to diagnose the organizational culture and the effect on the organization's performance.

The purpose of this paper is to explore why innovative service ecosystems scale up, using a service-dominant logic lens. The focus is on identifying the key drivers of the scaling-up process as the basis for a new conceptual framework on the scaling up of service innovations.

An inductive research design is used to zoom in on two innovative service ecosystems, Eataly and KidZania, to identify the key drivers that can explain why innovations scale up. For both companies, the triangulation of semi-structured interviews, archival sources and in-store observations is used as complementary data sets. Multiple investigators and multiple coders have been involved in the data collection, coding process and analysis.

An extended conceptualization of service innovation is obtained, grounded in a framework of four drivers of scaling up: effectuation as the basis for creating the value proposition; sensing and adapting to local contexts; the reconfiguration and alignment of resources and forms for collaboration between actors; and values’ resonance.

This study represents one of the first empirical investigations of the key drivers of the scaling up process of service innovations. The paper contributes with a conceptualization of service innovation and why scaling-up processes emerge, emphasizing the existence of multiple constellations of four drivers.

Despite increased attention to, and investment in, scaling up of disaster risk reduction (DRR), there has been little detailed discussion of scalability. The purpose of this paper is to respond to this critical gap by proposing a definition of scaling up for DRR, what effective scaling up entails, and how to measure and plan for scalability.

A literature review of debates, case studies and good practices in DRR and parallel sectors (i.e. education, health and the wider development field) unveiled and enabled the weighting of key concepts that inform scalability. The mixed methods research then developed, validated and employed a scalability assessment framework to examine 20 DRR and five non-DRR initiatives for which a minimum set of evidence was accessible.

Support from national, regional and/or local authorities strongly influenced the scalability of all initiatives assessed. Currently, insufficient to support effective scaling up, monitoring and evaluation were also found to be critical to both identify potential for and measure scalability.

The paper ends with a scalability assessment and planning tool to measure and monitor the scalability potential of DRR initiatives, highlighting areas for corrective action that can improve the quality and effectiveness of DRR interventions.

To ensure that more people will benefit from integrated care initiatives, scaling-up of successful initiatives is the way forward. However, new challenges present themselves as knowledge on how to achieve successful large-scale implementation is scarce. The EU-funded project SCIROCCO uses a step-based scaling-up strategy to explore what to scale-up, and how to scale-up integrated care initiatives by matching the complementary strengths and weaknesses of five European regions involved in integrated care. The purpose of this paper is to describe a multi-method evaluation protocol designed to understand what factors influence the implementation of the SCIROCCO strategy to support the scaling-up of integrated care.

The first part of the protocol focuses on the assessment of the implementation fidelity of the SCIROCCO step-based strategy. The objective is to gain insight in whether the step-based strategy is implemented as it was designed to explore what works and does not work when implementing the scaling-up strategy. The second part concerns a realist evaluation to examine what it is about the SCIROCCO’s strategy that works for whom, why, how and in which circumstances when scaling-up integrated care.

The intended study will provide valuable information on the implementation of the scaling-up strategy which will help to explain for what specific reasons the implementation succeeds and will facilitate further improvement of project outcomes.

The expected insights could be useful to guide the development, implementation and evaluation of future scaling-up strategies to advance the change towards more sustainable health and care systems.

This multiple case study research aims to identify the characteristics of scaling up SMEs in Chile for exploring how and why some entrepreneurship in the information technology (IT) sector are able to scale up and develop sustainable strategies, based on three consecutive years. The average sales of the companies during the last period analysed was around US$1,323,579, with an average annual growth rate of 66.7%. Scaling up SMEs may require several attributes to achieve positive revenue and develop effective high growth rates that allow them to succeed over several years.

To discern the phenomenon of entrepreneurship, the methodology of multiple case study research was conducted in three parts. The first was to define and design the research process, in which the study should settle the theory analysis and then show that research propositions and questions. The second part of the research was to prepare, collect and analyse the data through crafting instruments and data collection protocols as a source of evidence to conduct the pilot and multiple case study. In this stage, interviews were scheduled, transcribed, analysed and coded to explore how individual attributes may create a scaling-up entrepreneurial process for maintaining or developing high performance in the IT sector. The last part of the research concludes and validates the research propositions for the identification for potential attributes, which were obtained during the qualitative study.

Attributes were selected when 13 or more SMEs reported the importance of this initiative for the process of scaling up their SMEs. As a result of the data analysis, the empirical findings suggest on the importance of the academic background, budgetary control, negative entrepreneurial experiences, building teams, geographical expansion and first critical experience as key attributes for scaling-up. Additionally, the data propose that constructive entrepreneurial ecosystem and reforms financing markets and programmes are two additional components that could moderate the interaction between the scaling-up process and the achievement of rapid sales results as a key outcome measure.

The first limitation was the lack of consensus on the phenomenon of the scaling up of entrepreneurship. Information in Latin America and emerging countries is scarce, which also represents an opportunity for other researchers to deepen and validate the results reported here. Even though it was an attempt to understand the issue of environmental change, this additional limitation did not allow the evaluation of these adjustments over time that can positively or negatively drive the strategies corresponding to the evolution in each of the moderator variables.

Because of the characteristics of the sample in terms of size of the SMEs, industrial sector, location, culture, socio-economic environment and years of establishment of the company, the study cannot be generalised in terms of other industrial sectors or countries. The results of this research are also limited to SMEs in Chile, and to the extent that it can be applied to emerging countries IT sectors with similar sample characteristics, it must be done so with caution. Yin states that eight cases “are sufficient replications to convince the reader of a general phenomenon”.

Policymakers have the option to identify what skills and knowledge the entrepreneur requires to be trained to scale up their established ventures. In this context, they will also benefit from the empirical contribution of knowing what the restrictions that limit this process are, such as adverse tax systems and public strategies. Additionally, it is of public interest because no national records exist on the presence of theoretical terms.

Even though the literature promotes the present findings, it shows that there is an absence of empirical evidence in emerging economies to better comprehend which factors may affect the development process of scaling up entrepreneurship in the IT sector. Both deliberate and emergent strategic initiatives are necessary for the scaling-up process where six critical factors are the basis of the scaling-up. This empirical contribution for entrepreneurs will support the achievement of rapid and sustained sales results for scaling up their ventures.

The scaling up of promising, innovative integration projects presents challenges to social and health care systems. Evidence that a new service provides (cost) effective care in a (pilot) locality can often leave us some way from understanding how the innovation worked and what was crucial about the context to achieve the goals evidenced when applied to other localities. Even unpacking the “black box” of the innovation can still leave gaps in understanding with regard to scaling it up. Theory-led approaches are increasingly proposed as a means of helping to address this knowledge gap in understanding implementation. Our particular interest here is exploring the potential use of theory to help with understanding scaling up integration models across sites. The theory under consideration is Normalisation Process Theory (NPT).

The article draws on a natural experiment providing a range of data from two sites working to scale up a well-thought-of, innovative integrated, primary care-based dementia service to other primary care sites. This provided an opportunity to use NPT as a means of framing understanding to explore what the theory adds to considering issues contributing to the success or failure of such a scaling up project.

NPT offers a framework to potentially develop greater consistency in understanding the roll out of models of integrated care. The knowledge gained here and through further application of NPT could be applied to inform evaluation and planning of scaling-up programmes in the future.

The research was limited in the data collected from the case study; nevertheless, in the context of an exploration of the use of the theory, the observations provided a practical context in which to begin to examine the usefulness of NPT prior to embarking on its use in more expensive, larger-scale studies.

NPT provides a promising framework to better understand the detail of integrated service models from the point of view of what may contribute to their successful scaling up.

NPT potentially provides a helpful framework to understand and manage efforts to have new integrated service models more widely adopted in practice and to help ensure that models which are effective in the small scale develop effectively when scaled up.

This paper examines the use of NPT as a theory to guide understanding of scaling up promising innovative integration service models.

This paper aims to introduce a new indicative parameter of filling efficiency to quantify the performance and productivity of the flip-chip underfill encapsulation process. Additionally, the variation effect of the bump pitch of flip-chip on the filling efficiency was demonstrated to provide insight for flip-chip design optimization.

The filling efficiency was formulated analytically based on the conceptual spatial and temporal perspectives. Subsequently, the effect of bump pitch on filling efficiency was studied based on the past actual-scaled and current scaled-up underfill experiments. The latter scaled-up experiment was validated with both the finite volume method-based numerical simulation and analytical filling time model. Moreover, the scaling validity of scaled-up experiment was justified based on the similarity analysis of dimensionless number.

Through the scaling analysis, the current scaled-up experimental system is justified to be valid since the adopted scaling factor 40 is less than the theoretical scaling limit of 270. Furthermore, the current experiment was qualitatively well validated with the numerical simulation and analytical filling time model. It is found that the filling efficiency increases with the bump pitch, such that doubling the bump pitch would triple the efficiency.

The new performance indicative index of filling efficiency enables the package designers to justify the variation effect of underfill parameter on the overall underfill process. Moreover, the upper limit of scaling factor for scaled-up package was derived to serve as the guideline for future scaled-up underfill experiments.

The performance of underfill process as highlighted in this paper was never being quantified before in the past literatures. Similarly, the scaling limit that is associated to the scaled-up underfill experiment was never being reported elsewhere too.

The new economies of the twenty‐first century require new approaches to learning and teaching from higher education (HE). Accordingly many universities have gradually scaled‐up learner‐centred approaches, including flexible delivery and technology‐enhanced learning, from the domains of enthusiasts towards the institutional level. This paper seeks to argue that these new economies and styles of learning and teaching bring similar requirements for scaling of assessment practices in HE, in particular, that it is now time for many universities to consider change initiatives to scale‐up the assessment of experiential learning to the institutional level.

The need to scale‐up assessment of experiential learning in the Australian and international higher HE contexts is discussed and a variety of change initiatives to scale‐up assessment of experiential learning at the University of South Australia is described. These initiatives are explored in the wider context of change management in HE.

Assessment of experiential learning is at a tipping point where it needs to transition from the enthusiasts towards the mainstream of academics. Support for this process is a new challenge for academic developers, educational technologists, librarians and other stakeholders, akin to other recent challenges such as mainstreaming flexible learning and technology‐enhanced learning. It is argued that for change to succeed learners and academics require local or regional evidence that experiential learning and its assessment are both beneficial and manageable.

Taking assessment of experiential learning to the institutional level is a challenge that is reminiscent of the need to scale‐up flexible delivery and technology‐enhanced learning over the past decade. Information that can help universities to graduate large numbers of knowledge workers with appropriate graduate attributes developed through experiential learning should be beneficial to the graduates, the institutions and society at large.

The 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.

The 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.

Five 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.

The 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.

Proposal of a model that presents the main elements that impact on scalability and respective indicators that contributed to the scalability process of Brazilian agtechs.

This study contributed to advancing the knowledge on the organizational life cycle (OLC) of agricultural startups, particularly regarding the factors responsible for their scalability.