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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.

Online food delivery applications (OFDAs) provide an expedient platform, and consumers’ access to food has been drastically altered, especially during and after the COVID-19 pandemic. This study aimed to completely explore the attributes that influence consumers' purchase intention and how an app's aesthetics can evoke feelings that predict continuous usage intentions for OFDAs. The food industry, especially restaurants, heavily relies on mobile technology to facilitate critical online food delivery during the pandemic crisis.

The data for this study are gathered from 477 food consumers located in the federal capital territory (FCT) of Islamabad, Pakistan, through convenient sampling by developing a self-administrated online survey. SmartPLS is used for structural equation modeling to test the proposed research model and perform bootstrapping and algorithmic analysis.

Our findings revealed that perceived value positively predicted consumers’ purchase intentions. Moreover, perceived value mediates the association of information quality, familiarity, time-saving, usability and reputation with purchase intentions and fear of COVID-19 moderates the relationship between perceived value and purchase intention.

This research work has significant implications for researchers, web developers, app designers, delivery services, restaurants and other enterprises as it demonstrates the importance of aesthetically pleasing OFDAs in eliciting positive emotions and bolstering consumers’ intentions to continue using the app for efficient food delivery services.

This study expanded the application of the technology acceptance model (TAM) and attention, interest, desire and action (AIDA) by examining consumers’ purchase intentions in the context of OFDAs. Further, the successful utilization of TAM enhanced the understanding of consumer perceptions and behavioral intentions about the usage of OFDAs.

The purpose of this paper is to provide an empirical evidence concerning the influence of Corporate governance and voluntary disclosures in annual reports: a post-International Financial Reporting Standards adoption evidence from an emerging capital market.

Data were collected from the annual reports of all 22 listed non-financial firms over a five-year period. Using content analysis, the audited annual reports of the firms were scored on the extent of overall and four specific types of voluntary disclosures made. The panel data obtained were analyzed using a generalized ordinary least squares regression model.

The findings of the study show that voluntary disclosures among the firms are low even after the adoption of IFRS. Corporate governance attributes of board size and board leadership structure are significant determinants of the extent of voluntary disclosures made by the firms. However, board independence and auditor type exhibit only a significant positive effect on voluntary financial and forward-looking information disclosures.

Firms’ voluntary information disclosure and governance variables were restricted to those in annual reports, which may partially reflect the reality of firms’ disclosure and governance practices.

The present study offers useful insights to regulators of the capital market to strengthen monitoring of firms to ensure strict adherence to corporate governance best practice guidelines as a means of improving information environment.

This study is one of the very few ones in Africa, especially in the context of Ghana Stock Exchange, to use post-IFRS data and examine a disaggregated voluntary disclosure by firms.

Achieving good sustainability performance requires balancing higher economic profits with better environmental and social performance. Knowledge plays a key role in improving corporate sustainability performance, but this knowledge is becoming increasingly complex, specific and dispersed among many scientific, technological and business actors. Science and technology parks (STPs) are infrastructures designed to host varying types of organizations that can bring together new, disruptive knowledge. Our purpose is to unveil how these spaces can be drivers of sustainability performance for companies.

We test our hypotheses on a longitudinal database of Spanish companies over the period 2009–2016 using structural equation models (SEMs).

This research confirms that a firm’s location in an STP helps improve its sustainability performance, provided that conditions are optimal in the STP. These optimal conditions are based on an abundance of knowledge spillovers available to the firm and the firm’s ability to harness them, especially those of a more disruptive nature, through absorptive capacity.

Results of this study yield implications for academia in the form of future lines of research and practical implications for policymakers and managers of both STPs and the organizations that host them.

若要取得良好的可持續發展績效，我們必須以更佳的環境和社會績效來平衡更高的經濟利潤。知識在改善企業的可持續發展績效上發揮關鍵作用; 但知識對很多科學的、技術性的和商業的參與者來說，變得越來越複雜、特殊和分散。科技園是為集合嶄新而帶有顛覆性知識的各種不同組織提供軟硬體支援而設計的基礎設施。本研究擬顯露這些設施和場地如何能為企業推動其永續發展績效。

我們以結構方程模式、去測試有關涵蓋2009年至2016年期間西班牙企業的縱向數據庫的研究假設。

研究結果確認了只要在科技園內有最優良的環境和條件，企業在園內的位置是有助改善其永續發展績效的。這些最優良環境和條件是基於企業可得到的豐富的知識外溢，以及它們可透過其吸收能力去控制知識外溢的能力，特別是那些具更強顛覆性本質的知識外溢。

研究結果為學術界就未來的研究領域提供了啟示; 研究結果亦為科技園和主辦機構的政策制定者和經理、提供了實務方面的啟示。

The paper aims to present a systematic literature review (SLR) showing the benefits, challenges and future research of blockchain technology (BT) for the supply chain (SC), also suggesting how the features of BT can change the organizational aspects of the SC.

An SLR has been conducted to detect papers that contained the word “Blockchain” in their titles, keywords or abstracts. Consequently, a second filter to analyze BT papers for the SC was applied.

This paper shows through 31 variables classified into positive, negative and future directions of technology for the SC. For instance, BT will reduce time consuming of operations management and payments using smart contracts. In addition, integrating BT with other technologies will allow product tracking and sustainable production management.

The selection of papers is limited to Scopus database and specifically to the Management Journal.

BT creates collaborative peer-to-peer and business-to-business markets. The technology automates several tasks such as order management, payment for goods, waste reduction and process control. Therefore, its use within the SCs will improve the productivity and profits of the participants.

This paper is focused on BT for the SC area with 60 articles analyzed. In addition, 13 variables on benefits, eight variables on challenges and 12 points on future research directions were analyzed. This work will help researchers and entrepreneurs to deepen about the changes that BT offers in SC.