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The purpose of this paper is to investigate the most recurrent variables characterizing the collaborative relationships of industrial symbiosis (IS) (hereinafter also referred to as “anatomic” variables) established in the attempt to adopt circular economy (CE) by collecting evidence from a rich empirical set of implementation cases in Italy.

The current literature on IS was reviewed, and a content analysis was performed to identify and define the “anatomic” variables affecting its adoption in the circular economy. We followed a multiple-case study methodology investigating 50 cases of IS in Italy and performed a content analysis of the “anatomic” variables characterizing each case.

This research proposes the “anatomic” variables (i.e. industrial sectors involved, public actors involvement, governmental support, facilitator involvement and geographical proximity) explaining the cases of IS in the circular economy. Each “anatomic” variable is discussed at length based on the empirical evidence collected, with a particular reference to the impact on the different development strategies (i.e. “bottom-up” and “top-down”) in the cases observed.

Current literature on IS focuses on a sub-set of variables characterizing collaboration in IS. This research builds on extant literature to define a new framework of five purposeful “anatomic” variables defining IS in the circular economy. Moreover, we also collect and discuss a broad variety of empirical evidence in what is a still under-investigated context (i.e. Italy).

Besides the widespread harm and dreadful impact COVID-19 has caused, it brought about change. Interpreting the pandemic as a ‘change agent’, it is possible to observe how it accelerated the use of digital technologies, facilitating the migration of many activities to the virtual sphere and thus changing the interaction between the physical and virtual worlds. Although the pandemic accelerated the diffusion and adoption of digital technologies, allowing many to avoid or reduce the harms caused by the pandemic, not everyone benefitted to the same extent. The pandemic exacerbated existing digital divides while creating new ones, simultaneously elevating important policy debates regarding digital infrastructure and inclusion policies.

The paper offers a comprehensive understanding of how digital transformation affects business models and how firms operate and compete effectively and successfully in a digital economy.

The research adopted an abductive approach (Dubois and Gadde, 2002) through constant movement between theory and empirical evidence. A systematic literature review led the first conceptual development and examples of practices from cultural heritage sectors were used in the theorizing process.

This paper depicts a digital model framework through a set of assumptions about how an organization creates and delivers value in an interconnected way by orchestrating new interactive processes, and providing experience propositions to customers, and about how value is framed in terms of economic, social and cultural outcomes.

The study contributes to the scientific debate by discussing the role of digital business models as enhancements more rather than replacements of traditional business models; it frames a digital business model as consisting of three main pillars: value orchestration, experience propositions and value sharing.

The purpose of this study is to examine how companies integrate cyber risk into their enterprise risk management practices. Data breaches have become commonplace, with thousands occurring each year, and some costing hundreds of millions of dollars. Consequently, cyber risk has become one of the gravest risks facing organizations, and has attracted boardroom-level attention. On the other hand, companies already manage many kinds of difficult and growing risks, and that firms lose less than 1% of annual revenues as a result of cyber incidents. Therefore, how should firms appropriately address cyber risk? Is it indeed a materially different kind of risk area, or is it simply just one more risk that can seamlessly be integrated into existing enterprise risk management (ERM) practices?

The authors performed thematic analysis based on semi-structured interviews, with non-probabilistic, purposive sampling, to answer two main questions. First, how do firms manage enterprise risks, generally? And second, how are they integrating cyber risk into these existing processes?

The authors find that there is considerable variation in the approach and sophistication in ERM practices, such as whether they are driven more like an auditing function, or as a risk champion. The authors also find that despite the novelty of cyber risk, it can be integrated like other enterprise risks, and that cyber risk is most often seen as an operational risk (similar to workplace accidents or fraud), rather than a strategic risk, emerging from, for example, technology innovation and R&D.

The generalization of the results is limited by the sample size and variation of firms interviewed. While the authors attempted to interview enterprise risk managers across a wide variation of firms, there were clear limitations in the scope. That being said, the authors were fortunate to be able to examine ERM and cyber risk practices across small and large, private and publicly traded companies, from a variety of business sectors.

The authors believe these finding are important because they present evidence that while cyber risk may be new, it does not require specialized handling or processes to track it at the enterprise level. While some firms may choose to provide special accommodations or attention because of their data collection or business practices, this approach is neither necessary nor required of all firms in all situations.

This research is one of the only papers that, to the best of the authors’ knowledge, examines how cyber risk is integrated at an enterprise level.

The purpose of this paper is to develop Delphi methodology toward a holistic method for forecasting market change. Delphi methodology experienced its culmination in marketing research during the 1970s–1980s, but still has much to offer to both marketing scholars and practitioners in contexts where future market changes are associated with ambiguity and uncertainty.

This study revives the Delphi methodology by exemplifying how a recently developed framework on market change can be combined with the Delphi technique for data collection to support forecasting activities and research. The authors demonstrate the benefits of the improved methodology in an empirical study on the impact of the fifth generation of wireless communications technologies (5G) on the Finnish media market.

The developed methodological approach aids marketing scholars in categorizing and analyzing the data collected for capturing market change; and better guiding experts/respondents to provide holistic projections of future market change. The authors show that using a predefined theoretical framework in combination with the Delphi method for data collection and analysis is beneficial for studying future market change.

This paper develops Delphi methodology and contributes with a novel methodological approach to assessing market change.

The eNaira is the central bank digital currency of Nigeria. People who are interested in the eNaira and financial inclusion will seek information about eNaira and financial inclusion. Their interest in information about eNaira and financial inclusion will make it easier for them to adopt the eNaira and embrace other financial inclusion innovations such as FinTech and cryptocurrency. This paper investigates the determinants of interest in eNaira and financial inclusion information.

The data were analyzed using descriptive statistics, correlation analysis and ordinary least squares (OLS) regression. The study also used the GMM and 2SLS regression methods for robustness.

Using interest over time data, the findings of this study reveal that interest in financial technology (FinTech) and eNaira information are significant positive determinants of interest in financial inclusion information. Also, interest in financial inclusion is a significant positive determinant of interest in eNaira information. Furthermore, interest in FinTech information has a positive and significant correlation with interest in financial inclusion information. There is also a significant positive correlation between interest in central bank digital currency information and interest in FinTech information. The implication of the findings is that interest in information about new financial innovations, such as FinTech and eNaira, can stimulate interest in information about financial inclusion.

The literature has not examined the determinants of interest in eNaira and financial inclusion information yet.

This paper aims to assess the impact of digital financial innovation on financial system development in Common Market for eastern and Southern Africa (COMESA). This paper evaluates the dynamic relationship between digital financial innovation measures and financial system development using time series data from COMESA countries for the period 1997–2019.

A dynamic autoregressive distributed lag model (ARDL) was adopted and the mean group (MG), pooled mean group (PMG) and dynamic fixed effect (DFE) of the model were estimated to evaluate the short- and long-run impact. In addition, the dynamic generalized method of moments (DGMM) was adopted for a robustness check. The Hausman test results show PMG to be the most consistent and efficient estimator, while the coefficient of lagged dependent variable of different GMM is less than the fixed effect coefficient, and, as such, suggests system GMM is the most suitable estimator. Data for the study were sourced from World Bank Development Indicator (WDI, 2020), World Governance Indicator (WGI, 2020) and World Bank Global Financial Development Database (GFD, 2020).

The result shows that digital financial innovation significantly impacts financial system development in the long run. As such, the evidence revealed that automated teller machines (ATMs), point of sale (POS), mobile payments (MP) and mobile banking are significant and contribute positively to financial system development in the long run, while mobile money (MM) and Internet banking (INB) are insignificant but exhibit positive and inverse relationship with financial development respectively. Further investigation revealed that institutional quality and a stable macroeconomic environment including their interactive term are significantly imperative in predicting financial system development in the COMESA region.

Researchers recommend a cohesive and conscious policy that would checkmate the divergence in the short run and suggest a common regional innovative financial strategy that could be pursued to incentivize technology transfer needed to promote financial system development in the long run. More so, plausible product and process innovations may be adapted to complement innovative institutions in the different components of the COMESA financial system.

Digital financial innovation services if well managed increase the inherent benefits in financial system development.

To the best of the authors’ knowledge, this paper presents new background information on digital financial innovation that may stimulate the development of the financial system, particularly in the COMESA region. It also exposes the relevance of digital financial innovation, institutional quality and stable macroeconomic environment as well as their interactive effect on COMESA financial system development.

Focusing on the specific context of two European old industrial regions – South Yorkshire (UK) and North Region of Portugal – this paper aims to identify and conceptualise a set of relational capabilities that business leaders perceive to play a key role in industrial rejuvenation.

A qualitative research design operationalised via case studies was followed for the empirical analysis. Data collection was developed through in-depth interviews with managing directors in small and medium-sized enterprises (SMEs) belonging to the metal and engineering industry and the textile and footwear sectors in the two old industrial regions. Data analysis followed the techniques of data categorisation, within case-analysis and cross-case analysis.

The study identifies relational capabilities that firms use to identify, access and leverage new knowledge: frequent meetings with customers; frequent meetings with suppliers; dialogue with government to influence policy that encourages research and technology transfer; partnership actions for the commercialisation of products and services; active membership with sector associations; immersion in science and technological parks; intentionally establishing links with entrepreneurship-supporting entities; human resources development by technical training institutions; and systematic links with the University. The relational capabilities identified require structured communication processes and alliance management practices to enable and support absorptive capacity and learning in inter-organisational networks.

The relational capabilities identified can help position regions in specific markets and value chains, contribute to improving regions’ internal and external connections and assist in combining regions’ strengths to create industrial capability in high-growth-potential areas.

This paper highlights the role of relational capabilities as a way to secure access to knowledge and competencies needed for firms’ innovation and avoidance of competency traps. This is particularly relevant in the context of European smart specialisation policy, where key regional stakeholders collectively engage in the identification of areas of competitive strength, enhanced coordination and strategic alignment of resources. The study is not without limitations, as findings are based on case studies of SMEs operating in the manufacturing industry and the analysis of relational capabilities is focused on knowledge novelty.