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The purpose of this paper was to ascertain how social entrepreneurs were required to recognize their new ventures’ scope and scale of operations. The firm boundary was based upon two dimensions, namely, the scope of the offering and its scale. The objective of this research was to ascertain the thinking regarding this of social entrepreneurs engaged through technology-based social entrepreneurship (TBSE).

This study conducted an in-depth interview of 26 technology entrepreneurs engaged in social entrepreneurship ventures in India. The interview was carried out based upon a semi-structured open-ended questionnaire. This study undertook thematic and relational content analysis to develop a model of technology-based social entrepreneurs’ venture scoping and scaling.

This study found that the antecedent variables were the level of support perceived by social entrepreneur from government and at the industry level. Furthermore, the variables’ entrepreneurial and market orientation of social entrepreneurs were found to be the independent variables. These four variables in turn determined the explorative and exploitative horizon of the technology-based social entrepreneurs. Finally, an interplay of these variables ascertained the perspectives of social entrepreneurs engaged in TBSE regarding the notion of their firm’s scope and scale.

The theoretical insights developed in this research study provided an integrated theoretical perspective accommodating both environmental perspectives (industry support and government support) and organizational perspectives (entrepreneurial and market aspects). This was in context of TBSE.

The insights from this research study could provide a robust and comprehensive understanding to social entrepreneurs regarding the strategic thinking towards scale and scope for a technology-based social venture.

To the best of the author’s knowledge, this study was one of the first theoretical works in TBSE towards scaling versus scoping perspectives.

Digital business models are often designed for rapid growth, and some relatively young companies have indeed achieved global scale. However, despite the visibility and importance of this phenomenon, analysis of scale and scalability remains underdeveloped in management literature. When it is addressed, analysis of this phenomenon is often over-influenced by arguments about economies of scale in production and distribution. To redress this omission, this paper draws on economic, organization, and technology management literature to provide a detailed examination of the sources of scaling in digital businesses. We propose three mechanisms by which digital business models attempt to gain scale: engaging both non-paying users and paying customers; organizing customer engagement to allow self-customization; and orchestrating networked value chains, such as platforms or multi-sided business models. Scaling conditions are discussed, and propositions developed and illustrated with examples of big data entrepreneurial firms.

The complexity of contemporary societal challenges in emerging countries reanimates the necessity of collective action to resolve them. What is required is system change, namely, transformations in policy, practice, power relationships, market dynamics and social customs that underlie social and environmental issues. Technological innovations, paired with intentional social changes, might play a transformative role in this effort. This paper aims to investigate the relationship between the adoption of technologies in social enterprises (SEs) and their contribution to achieving system change. It also addresses the effects of their hybrid nature on this relationship.

The analysis relied on data collected through a survey of the global population of Ashoka fellows, which is largely based in emerging economies. Three models were developed concerning different pathways to achieve system change identified in the theoretical framework. These were tested using Probit regressions.

The investigation confirms that technology can support SEs in navigating complex pathways to achieve system change rather than merely enabling linear scaling operational strategies. The pursuit of economic value creation, in conjunction with a social mission, decreases the ability of SEs to achieve system change. This is because the scaling paths which hardly create revenues are neglected.

The study conceptualises a multifaceted model of system change. It tests the framework empirically to show that SEs can adopt technologies to unleash complex system change processes to generate societal impact, on top of merely demonstrating linear approaches to scaling or replication. The paper questions the capacity of SEs to facilitate system change without appropriate financial support and the inherent tensions between hybridity and the depth of system change dynamics.

The repercussions of the COVID-19 pandemic and the organizational scaling strategies of the social impact are still under-researched and remain one of the most significant issues in the social entrepreneurship field, with scarce empirical research so far. This paper aims to present the organizational growth strategies that Greek social enterprises have used to scale their social impact during the COVID-19 pandemic.

Building on development studies, organization theory and social movement research, this study addresses how Greek social enterprises scale their social impact following organizational growth strategies during the pandemic, based on a sample of ten social enterprises and following a qualitative method approach through a multiple case study.

Results highlight that during the COVID-19 pandemic, the organizational scaling of social enterprises has supported social impact through expanding services, building new interorganizational collaborations and serving additional beneficiaries. Furthermore, new and viable growth strategies include advocacy-oriented scaling for resources and local and remote markets through prompt digitalization.

To the best of the authors’ knowledge, this paper is the first systematic attempt to explore the organizational scaling strategies undertaken by Greek social enterprises in the context of the difficulties placed by the COVID-19 crisis. What emerged from this study was a new prominent organizational scaling strategy of the social enterprises’ social impact called strategic organizational change.

This paper extends organizational ecology by making an attempt to disentangle the consequences of scale and scope economies for organizational survival under different product market configurations. We test our hypotheses by analyzing the mortality rates of 643 UK motorcycle producers during the 1899–1993 period. The findings obtained offer two specific contributions. First, by separating the performance impact of scale from scope economies we clarify the complex mechanisms behind the survival consequences of different organizational strategies. Second, we show how the intensity of both scale and scope forces is relative to the aggregate market-level product configuration. The implications of these findings for organizational ecology and strategic management, and their cross-fertilization, are further discussed.

Supplier diversity has roots in US supply chains going back 50  years. Unfortunately, supplier diversity programs have been hindered by less than wholehearted buyer adoption and stakeholder engagement. The original scoping of supplier diversity also holds limitations when comparing to the multidimensionality of the diversity and inclusion concept. The purpose of this article is to share lessons learned from the development of an innovative supplier diversity program by Moet Hennessy aimed at more sustainably scoping, scaling and stimulating supplier diversity programs.

The development and the design of Moet Hennessy’s supplier diversity program is presented. The design was informed, and partially supported by, a collaboration with the author. Critical reflections on pitfalls and outstanding questions are developed based upon the program design.

Moet Hennessy developed a supplier diversity program that is more comprehensively defined, targets a more global scale and includes innovative stakeholder engagement techniques such as the development of supplier diversity champions in the business. The program also is embedded in existing environmental social and governance initiatives.

Moet Hennessy’s supplier diversity program was not mandated by one of its customers but sourced from an academic collaboration and stimulated by competitive opportunity. The program was designed bottoms up, not top down. The program is sponsored outside of procurement and has champions throughout the business. The program expands beyond the traditional scoping of supplier diversity programs. Pathways and pitfalls for managers are identified based upon insights from Moet Hennessy’s experience. These inform suggestions for further research.

The purpose of this paper is to explore the microfactory model, the elements that enable it and its implications. The authors argue that microfactories reduce the risks and costs of innovation and that they can move various industries toward more local, adaptive and sustainable business ecosystems.

This conceptual paper explores several processes and practices that are relatively new; hence, it uses online secondary sources (e.g. interviews with CEOs, videos, blogs and trade magazine articles) extensively.

Given its versatility and high automation levels, the microfactory model can fill the gap between artisanal and mass production processes, boost the rate of innovation, and enable the local on-demand fabrication of customized products.

Currently, manufacturers generally need to make large investments when launching a new product, despite high uncertainty about customer acceptance, thus risking considerable losses. The microfactory model offers a safer alternative by allowing a firm to develop and fabricate new products and test their acceptance in a local market before mass producing them. Microfactories also enable the local on-demand fabrication of highly customized products.

This paper contributes to the discussion on the economic advantages and disadvantages of scale and scope, which have been insufficiently explored in the digital domain.

In further conceptualizing a novel generative knowledge management system (KM/KMS), this paper aims to focus on identifying and mitigating the risks related to its envisaged scaling from a prototype to an application with a rapidly growing user base.

It follows up on prior publications using design science research (DSR) methodologies in compliance with theory effectiveness, a principle expecting system designs to be purposeful in terms of utility and communication. The KMS perspective taken prioritizes a decentralizing agenda benefiting knowledge workers while also aiming to foster a fruitful co-evolution with conventional organizational KM approaches.

The utilization and further extension of the CKDT and a “scalable innovation” heuristic are assisting the detecting of potential scaling risks related to the logics and logistics, generative interoperability, technological capacitating, knowledge dynamics and value chain which further validates the viability of the proposed KM concept and system.

Although the prototype development is still in progress, the paper conforms to the DSR practice to report on early visions of technology impact on users, organizations and society but also reflects on expectations of viability, desirability and commitment, as well as the system’s prospect as a general-purpose-technology or disruptive innovation.

In addition to the novel KM-related perspectives, the paper’s practical emphasis on the scaling of more complex systems is rarely dealt with in the literature due to the respective projects’ often large-scale collaborative nature, broad methodological scope and diverse stakeholders’ interests. In this case, the task is eased as prior DSR outputs can be referred to.

While scaling is a viable approach to respond to growing demand, service providers in contact-intensive services (CIS) – such as education, healthcare and social services – struggle to innovate their offerings. The reason is that the scaling of CIS – unlike purely digital settings – has resource limitations. To help ease the situation, the purpose of this paper is to identify and describe the practices used in scaling CIS to support ICT-enabled service innovation.

The research draws on an in-depth analysis of three CIS to examine service innovation practices. The analysis informs model development for service scaling.

The analysis uncovers three practices for service scaling – service interaction analysis, service pivoting and service validation – and their related activities that are applied in a cyclic and iterative logic.

While the findings reveal that the scalability of CIS is limited and determined by the formative characteristic of personal interaction, this study and its findings describe how to leverage scalability in CIS.

The insights into the practices enable service providers of CIS to iteratively revise their service offerings and the logic of creating value with the service.

This research identifies and describes for the first time the practices for the scaling of CIS as an operationalisation of ICT-enabled service innovation.

This chapter focuses on accelerating the adoption and promotion of the solution across the organization. The authors define acceleration as achieving the maximum effective and appropriate use of the solution across the organization. This capability is strategic – it ensures that any new intelligence solution or activity is part of its business product line. The initial focus is on internal business products, but organizations are also encouraged to see new solutions as potential external products. To ensure the product is strategically leveraged, business managers, designers, and analysts must work with leaders to socialize solutions and encourage their adoption. It also means being open to adapting and calibrating the solution over time. This chapter also includes practical business stories.