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Exploring the Role of Social Capital, Digital Transformation, and Entrepreneurial Orientation in the Sustainable Development of Creative Industries

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Abstract

This chapter explores the effect of digital transformation and entrepreneurial orientation on the sustainable development of creative industries with the mediating role of social capital. The study's statistical population includes managers of creative industries during 2022, and the sample size is 221 managers of these companies. The data collected through a questionnaire were analyzed with PLS4 software. Results show that businesses adapt to survive in a competitive market by reducing negative impacts on society and the environment. By focusing on social capital, companies can improve relationships between team members and gain access to resources. Many businesses are investing in digital transformation, which allows creative industries to enhance relationships with the community and boost economic performance.

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Digital Transformation (DT) has become an imperative for most organizations in our world of emergent and continuous changes. The term DT has been so broadly used (and misused) that it becomes very confusing. Consequently, the need to provide some conceptual rigor to DT is urgently needed. The purpose of this article is to develop a unified definition of “digital transformation” based on a vastly rigorous/scientific review and analysis of 134 well-received, published definitions of DT that significantly differentiates from other related terms in the literature. The proposed unified definition will help researchers and practitioners to “advance the theory and practice” of the discipline.
Article
The Sustainable Development Goals (SDGs) within the United Nations 2030 Agenda emerged in 2015, becoming an unprecedented global compass for navigating extant sustainability challenges. Nevertheless, it still represents a nascent field enduring uncertainties and complexities. In this regard, the interplay between digitalization and sustainability unfolds bright opportunities for shaping a greener economy and society, paving the way towards the SDGs. However, little evidence exists so far, about a genuine contribution of digital paradigms to sustainability. Besides, their role to tackle the SDGs research gaps remains unexplored. Thus, a holistic characterization of the aforementioned topics has not been fully explored in the emerging literature, deserving further research. The article endeavors a twofold purpose: (1) categorizing the main SDGs research gaps; (2) coupled with a critical exploration of the potential contribution of digital paradigms, particularly Big Data and Artificial Intelligence, towards overcoming the aforesaid caveats and pursuing the 2030 Agenda. Ultimately, the study seeks to bridge literature gaps by providing a first-of-its-kind overview on the SDGs and their nexus with digitalization, while unraveling policy implications and future research directions. The methodology has consisted of a systematic holistic review and in-depth qualitative analysis of the literature on the realms of the SDGs and digitalization. Our findings evidence that the SDGs present several research gaps, namely: flawed understanding of complexities and interlinkages; design shortcomings and imbalances; implementation and governance hurdles; unsuitable indicators and assessment methodologies; truncated adoption and off-target progress; unclear responsibilities and lacking coordination; untapped role of technological innovation and knowledge management. Moreover, our results show growing expectations about the added value brought by digitalization for pursuing the SDGs, through novel data sources, enhanced analytical capacities and collaborative digital ecosystems. However, current research and practice remains in early-stage, pointing to ethical, social and environmental controversies, along with policy caveats, which merit additional research. In light of the findings, the authors suggest a first-approach exploration of research and policy implications. Results suggest that further multidisciplinary research, dialogue and concerted efforts for transformation are required. Reframing the Agenda, while aligning the sustainable development and digitalization policies, seems advisable to ensure a holistic sustainability. The findings aim at guiding and stimulating further research and science-policy dialogue on the promising nexus amid the SDGs and digitalization.
Article
Purpose This study, an exploratory one, aims to empirically investigate the association of national intellectual capital (NIC) with the national digital transformation readiness of the European Union's (EU’s) member states. Apart from building the conceptual model of NIC, this study explores the role of NIC dimensions in the digital divide between European countries. Design/methodology/approach Based on the literature review and the available EU statistical data and indexes, the theoretical framework and conceptual model for NIC were developed. The model explores the relation of NIC and its dimensions (human, social, structural, relational and renewable/development capital) on the readiness of European countries for digital transformation and the digital divide. Significant differences between EU countries in NIC and digital readiness were tested. Multiple linear regression was used to explore the association of each NIC dimension with digital transformation and digital divide within the EU. Findings Despite a positive association between all dimensions of NIC and digital transformation readiness, the proposed model of NIC was not confirmed in full. Regression analysis proved social capital and working skills, a dimension of human capital, to be the predictors of digital transformation at a national level, able to detect certain elements of digital divide between EU member states. Structural capital, knowledge and education, as dimensions of human capital, were predictors of the digital divide in terms of the integration of digital media in companies. Research limitations/implications This research has a limited propensity for generalisation due to the lack of common measurement models in the field of NIC exploration. Practical implications This research offers policy makers an indication of the relationships between NIC and digital transformation, pointing out which dimensions of NIC should be strengthened to allow the EU to meet the challenges of digital economy and to overcome the digital divide between EU member states. Social implications The use of digital technologies is key in creating active and informed citizens in the public sphere and productive companies and economic growth in the business sphere. Originality/value This study provides an original theoretical framework and conceptual model through which to analyse the relationship between NIC and digital transformation, which has thus far not been explored at the level of the EU. This research makes an original contribution to the empirical exploration of NIC and produces new insights in the fields of digital transformation and intellectual capital.
Article
This paper seeks to explore the relationship between Corporate Social Responsibility (CSR) and Social Capital (SC) in the mining industry. The qualitative analysis was complemented by the insights provided by interviews with key informants as well as the emerging literature on the intersection of SC and CSR. The findings revealed a framework with four quadrants to understand how CSR proposed by a mining company impacts SC, as well as the best practices to move from negative CSR to positive CSR that can generate strong SC.
Article
This paper examines how digital transformation can impact the localization and achievement of the Sustainable Development Goals (SDGs). We collect data on the progress made towards SDGs, existing e-governance and big data initiatives, as well as the state of localization in seven countries from different parts of the world. We find that localization allows governments to effectively tailor sustainable development strategies at the local level, which can be boosted with digital transformation. Localization requires local governments’ effective planning by ensuring that budgetary allocations reflect the priorities of local communities. Our main recommendations are that adequate data are necessary to identify and follow-up with decision makers, which requires a review of institutional competence in dealing with information and data and the use of digital transformation for this purpose. Appropriate funding for development programs and projects and effective application at the local level are also important. This requires policy makers to direct and encourage investments in the ‘The Digital Network Architecture’ (DNA) infrastructure and human capital. A key limitation lies in its sample of countries used with their own cultural and population features. However, our findings provide a good basis to analyse further case studies with more heterogeneous compositions as well as other practices of digital transformation.
Article
Artificial intelligence (AI) is rapidly opening up a new frontier in the fields of business, corporate practices, and governmental policy. The intelligence of machines and robotics with deep learning capabilities have created profound disrupting and enabling impacts on business, governments, and society. They are also influencing the larger trends in global sustainability. As the AI revolution transforms our world, it could herald a utopian future where humanity co-exists harmoniously with machines, or portend a dystopian world filled with conflict, poverty and suffering. More immediately, would AI accelerate our progress on the United Nations (UN) Sustainable Development Goals (SDGs) or bring us further down the path toward greater economic uncertainty, environmental collapse, and social upheaval? What are some of the implications for business leadership and the education of future business leaders? This article aims to address these questions by analyzing the impacts of AI in three case studies. It draws some preliminary inferences for management education and the business of leading corporations in the midst of rapid technological and social change. This study combines the perspectives of business strategy and public policy to analyze the impacts of AI on sustainable development with a specific focus on the advancement of the SDGs. It also draws some lessons on managerial learning and leadership development for global sustainability.
Article
In recent years, a special group of elderly migrants emerged in some developing countries, namely “trailing parents,” who migrated with adult children in their later years. Lots of developing countries such as China have an increasing number of old people using mobile social media for social interaction, information, and entertainment. Based on social capital theory, we developed a research model and investigated the relationship between mobile social media use (MSMU) and social capital, social integration, and life satisfaction of trailing parents. We completed an empirical study by collecting 244 valid samples. The results show that MSMU has a positive impact on trailing parents’ life satisfaction, and bonding social capital, bridging social capital and social integration are all important predictors of trailing parents’ life satisfaction. Furthermore, social capital and social integration play an important chain mediation role in the relationship between MSMU and trailing parents’ life satisfaction.
Article
Purpose In a world where big data have become crucial to guarantee the success of companies, digital transformation came to help companies transition towards a digital business and accept the changes in the organizational structure as well as the market. Nonetheless, even with the ever-growing importance shed on it, few articles and studies have linked it to the sustainability paradigm. Empirical studies that have linked between the factors of digital transformation and a more sustainable business are still scant. Many efforts are still needed to reduce the knowledge gap between these two concepts. The purpose of this paper is to fill this gap by examining (empirically) the effect of digital transformation on sustainability. Design/methodology/approach The study validates five different hypotheses highlighted by the literature using structural equation model (SEM) analysis from partial least square (PLS) approach. It uses a new conceptual framework using a survey data, answered by 41 small- and medium-sized enterprises (SMEs) in Morocco from different industries. Findings Using PLS-SEM modeling, the results show that customers, data and innovation, which are drivers that companies should work on during a digital transformation, have a significant impact on companies’ quest to reach sustainability. However, and in contrast to the existing literature, authors find that competition did not play a significant role in enhancing the companies’ commitment to sustainability. Practical implications Authors’ findings encourage firms to seize the opportunity of digital transformation to embrace sustainability, because the implementation of these two concepts requires radical changes at the business model level. Authors suggest that the road to achieve sustainability in a digital era should focus on three main axes, enhancing the customer experience and adopting customer centricity, building data analytics capabilities and shifting innovation to the business model level. Originality/value To the best of the authors’ knowledge, this study is one of the first research papers that explain how to reach sustainability during a digital transformation. The originality of this paper lies in the fact that it focuses on SMEs as they remain the backbone of the Moroccan economy. This study is also novel for showing with empirical evidences that working on the axes of customers, data and innovation, during a digital transformation journey, will improve sustainable practices within businesses.
Article
The internationalization of R&D activities has become crucial for small and medium-sized enterprises (SMEs) to create sources of competitive advantage. This research aims to analyze the role of social capital and information technology (IT) in enhancing knowledge sharing and innovation capabilities in the particular context of SMEs with geographically dispersed R&D teams. The study uses structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (FsQCA) to investigate data from an online survey of 265 R&D managers in Italian manufacturing SMEs with responsibility for at least one international R&D team. The results reveal the critical role of structural social capital and IT in enhancing knowledge sharing and innovation capabilities. The research contributes to existing knowledge and provides useful insights for marketers by highlighting how social capital, also in combination with IT, strengthens SMEs' competitiveness even when they operate in a mature industry.
Preprint
The purpose of this paper is to assess stakeholders’ perceptions on the implementation of the smart specialization strategy (RIS3) in the North of Portugal, with a particular focus on technology transfer (TT) activities between 2014 and 2017. A qualitative methodology was followed through semi-structured interviews applied to the actors in the region based on the eight priority domains of RIS3 North of Portugal. Data analysis was performed using Iramuteq software. Our results suggest that the stakeholders’ perception of the fitness of the RIS3 defined for their region does not match with the RIS3 defined by the policy makers. Our results contribute to a better understanding of the real perception of universities and industry on TT in the context of RIS3 and the need for ongoing evaluation and adjustments of RIS3 priority domains by policy makers to address them to the real necessities of the industry/market.
Article
This paper investigates the mediating effect of learning intent in transforming local suppliers’ potential absorptive capacity into realized absorptive capacity and its impact on exploitative and exploratory innovation. Using survey data from 155 auto parts manufacturers in Pakistan, we find that local firms’ realized absorptive capacity enables them to develop both exploitative and exploratory innovations. The findings further suggest that local suppliers’ learning intent mediates the relationship between potential and realized absorptive capacity which in turn lead to both types of innovation. In the context of the emerging economy of Pakistan, local suppliers’ absorptive capacity is found to be critically important in spurring exploitative and exploratory innovation, but learning intent enables realized absorptive capacity and thus in conjunction with realized absorptive capacity supports innovation. Consequently, there would be a strong case for policy intervention to assist emerging economy firms in building their absorptive capacity and strengthening their learning intent as a route for promoting innovation and improving their value added position in the global value chains of multinational enterprises.
Article
Despite the maturing entrepreneurial orientation literature, limited advance has occurred in the theoretical aspect of entrepreneurial orientation–firm performance relationship, and wide‐ranging empirical investigations are few. The authors address these concerns by testing a comprehensive model and by extending the theoretical boundary. Specifically, drawing on dynamic capability theory, core competence perspective, and consumer theories, we argue that technological capability is central for growth and financial performance of an entrepreneurially oriented firm. We introduce a construct called consumer attitude dynamism. We reason that this variable influences the growth of entrepreneurial firms. Our theory and empirical results primarily contribute to the entrepreneurship literature.
Article
Research on the topic of entrepreneurial orientation (EO) continues to proliferate. Nonetheless, the conceptualization and measurement of this construct are matters of ongoing discussion and debate, and construct-specific advice with respect to the generation high value-added EO research is sparse. This editorial is aimed at providing guidance to EO researchers in three areas: (a) EO’s conceptualization(s) and position as they relate to the larger set of corporate entrepreneurship-related constructs, (b) EO’s measurement challenges and possibilities, and (c) suggested guidance and directions for future EO research.