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This chapter examines how implementation of SDG solutions can be improved through adaptive strategies. Many so-called blueprint strategies are inflexible during implementation and underestimate the importance fitting general goals and plans to shifting local needs and contexts. The chapter emphasizes the importance of identifying the specific types of dynamic challenges that will prompt the need for adaptation when implementing sustainability strategies. Adaptive cocreation provides a valuable framework for overcoming traps of various sorts that may block implementation. The problem-driven iterative adaptation (PDIA) model is introduced as one approach to adaptation. PDIA is particularly valuable for achieving bottom-up integration of SDGs and projects. Finally, the chapter considers the importance of social learning as a strategy for collaborative adaptation.

Quality management practitioners have yet to cease the potential of digitalisation. Furthermore, there is a lack of tools such as frameworks guiding practitioners in the digital transformation of their organisations. The purpose of this study is to provide a framework to guide quality practitioners with the implementation of digitalisation in their existing practices.

A review of literature assessed how quality management and digitalisation have been integrated. Findings from the literature review highlighted the success of the integration of Lean manufacturing with digitalisation. A comprehensive list of Lean Six Sigma tools were then reviewed in terms of their effectiveness and relevance for the hybrid digitisation approach to process improvement (HyDAPI) framework.

The implementation of the proposed HyDAPI framework in an industrial case study led to increased efficiency, reduction of waste, standardised work, mistake proofing and the ability to root cause non-conformance products.

The activities and tools in the HyDAPI framework are not inclusive of all techniques from Lean Six Sigma.

The HyDAPI framework is a flexible guide for quality practitioners to digitalise key information from manufacturing processes. The framework allows organisations to select the appropriate tools as needed. This is required because of the varying and complex nature of organisation processes and the challenge of adapting to the continually evolving Industry 4.0.

This research proposes the HyDAPI framework as a flexible and adaptable approach for quality management practitioners to implement digitalisation. This was developed because of the gap in research regarding the lack of procedures guiding organisations in their digital transition to Industry 4.0.

Entrepreneurship is presented as a vehicle for innovation and social development. Given the importance of entrepreneurship, the objective of this study was to analyze the psychological and sociological dimensions by determining the factors that explain individual perceptions and cultural support for entrepreneurship.

Using Global Entrepreneurship Monitor (GEM) data obtained from the Adult Population Survey (APS) (N = 2,500) in the region of Andalusia (Spain), a quantitative analysis was carried out, specifically a multivariate analysis based on four-stage linear regressions.

The variables examined do not explain the psychological and sociological dimensions to the same extent. The results highlight the existence of cultural homogeneity between provinces, the importance of sociodemographic variables and the influence of the entrepreneurial expectations and experiences of the population, especially in shaping individual perceptions towards entrepreneurship.

The replication of the study at the national and international levels is proposed in order to delve deeper into the cultural differences that condition entrepreneurship. Including new variables associated with entrepreneurial human capital could also be of interest.

The results can help to improve the design and implementation of policies and programs aimed at fostering entrepreneurship through the promotion of favorable individual perceptions and entrepreneurial culture.

The originality of this study is the consideration of individual perceptions and cultural support for entrepreneurship as dependent variables, since they are normally incorporated as explanatory factors. The results contribute to the advancement of knowledge of the entrepreneurial phenomenon through two approaches, psychological and sociological.

El emprendimiento se presenta como vehículo de innovación y desarrollo social. Dada la importancia del fenómeno, el objetivo de esta investigación es analizar las dimensiones psicológica y sociológica del emprendimiento a través de los factores que explican las percepciones individuales y la cultura de apoyo al emprendimiento.

A partir de datos GEM obtenidos mediante la Encuesta de Población Adulta (N = 2,500) en Andalucía (España), se desarrolla una metodología cuantitativa, concretamente un análisis multivariante basado en regresiones lineales de cuatro etapas.

Las variables consideradas no explican en la misma medida la dimensión psicológica y la sociológica. Se evidencia la existencia de homogeneidad cultural interprovincial, la importancia de las variables sociodemográficas y la influencia de las expectativas y las experiencias vinculadas al emprendimiento, especialmente en la formación de percepciones individuales.

Se propone la réplica del estudio a nivel nacional e internacional para ahondar en las diferencias culturales que condicionan la creación empresarial. Se considera interesante incluir nuevas variables asociadas con el capital humano emprendedor.

Mejora del diseño y la implementación de políticas y programas dirigidos a potenciar el emprendimiento, a través del fomento de las percepciones individuales favorables y la cultura emprendedora.

La originalidad reside en la consideración de las percepciones individuales y la cultura de apoyo al emprendimiento como variables dependientes, ya que normalmente se incorporan como factores explicativos. Se contribuye al avance del conocimiento sobre el fenómeno emprendedor a través de dos enfoques, el psicológico y el sociológico.

The aim of this study is to investigate the relationship between heterogeneous collaborative networks and firm performance, using the resource-based view (RBV) and its extension through the knowledge-based view (KBV) as theoretical lens. Moreover, the authors examine family management and intellectual property rights (IPRs) as contingent factors that enhance the effectiveness of heterogeneous collaborative networks in achieving superior firm performance.

The hypotheses are developed and checked by using a panel data sample of 10,985 firm-year observations from 1,766 Spanish manufacturing firms over the period 2007–2016.

The results indicate that heterogeneous collaborative networks positively influence firm performance. Furthermore, the positive impact of these innovation networks on firm performance is reinforced by high levels of family management, and such effect is even stronger when there exists high levels of IPRs.

This research is the first, to our knowledge, to provide important new insights into the manner in which the effect of both family management and IPRs have the potential to amplify the performance gains attained from heterogenous collaborative networks.

Drawing on an intersectional perspective on racial, migrant and entrepreneurial identities, this paper investigates the identity work of racial minority entrepreneurs with native-born and migrant backgrounds, confronted to experiences of othering in a White entrepreneurial ecosystem.

The study takes a qualitative-interpretivist approach and builds on six cases of racial minority entrepreneurs in nascent stages of venture development within the Dutch technology sector. The dataset comprises 24 in-depth interviews conducted over the course of one and a half year, extensive case descriptions and online sources. The data is thematically and inductively analysed.

Despite strongly self-identifying as entrepreneurs, the research participants feel marginalised and excluded from the entrepreneurial ecosystem, which results in ongoing threats to their existential authenticity as they build a legitimate entrepreneurial identity. Minority entrepreneurs navigate these threats by either downplaying or embracing their marginalised racial and/or migrant identities.

The study contributes to the literature on the identity work of minority entrepreneurs. The paper reveals that, rather than “strategising away” the discrimination and exclusion resulting from othering, racial minority entrepreneurs seek to preserve their sense of existential authenticity and self-worth, irrespective of entrepreneurial outcomes. In so doing, the study challenges the dominant perspective of entrepreneurial identity work among minority entrepreneurs as overly instrumental and market-driven. Moreover, the study also contributes to the literature on authenticity in entrepreneurship by highlighting how racial minority entrepreneurs navigate authenticity threats while building legitimacy in a White ecosystem.

The unprecedented growth in the volume, variety and velocity with which data is generated and collected over the last decade has led to the spread of big data phenomenon. Organizations have become increasingly involved in the collection and analysis of big data to improve their performance. Whereas the focus thus far has mainly been on big data collected from customers, the topic of how to collect data also from those who are not yet customers has been overlooked. A growing means of interacting with non-customers is through crowd-based phenomena, which are therefore examined in this study as a way to further collect big data. Therefore, this study aims to demonstrate the importance of jointly considering these phenomena under the proposed framework.

This study seeks to demonstrate that organizations can collect big data from a crowd of customers and non-customers through crowd-based phenomena such as crowdsourcing, citizen science and crowdfunding. The conceptual analysis conducted in this study produced an integrated framework through which companies can improve their performance.

Grounded in the resource-based view, this paper argues that non-customers can constitute a valuable resource insofar as they can be an additional source of big data when participating in crowd-based phenomena. Companies can, in this way, further improve their performance.

This study advances scientific knowledge of big data and crowd-based phenomena by providing an overview of how they can be jointly applied to further benefit organizations. Moreover, the framework posited in this study is an endeavour to stimulate further analyses of these topics and provide initial suggestions on how organizations can jointly leverage crowd-based phenomena and big data.