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This study aims to examine information (stock return, volatility and extreme risk) spillovers and interconnectedness within dual-banking systems.

Using multilayer information spillover networks, this paper conduct a deep analysis of contagion dynamics among 24 Islamic and 46 conventional banks from 2006 to 2022.

The findings show the network’s rapid response to financial shocks. Through cross-sector analysis, this paper identify information spillovers between and within Islamic and conventional banking systems. Furthermore, this research illustrates distinct roles played by Islamic and conventional banks within the multilayer network structure, contingent upon the nature of the financial shock.

Understanding the differential roles of Islamic and conventional banks in information transmission can aid policymakers and financial institutions in devising more effective risk management strategies, thereby enhancing financial stability within dual-banking systems.

This study contributes to the literature by emphasizing the necessity of examining contagion mechanisms beyond traditional single-layer network structures, shedding light on the shadow dynamics of information transmission in dual-banking systems.

In a globalized economic system, the role of agrifood production is to ensure at the same time both the population's livelihood and environmental resource conservation. The present study aims at expanding the debate on the potentials of the fair-trade in terms of environmental sustainability.

The research presents a methodology divided into three phases: (1) the identification of the water footprint values associated with the production of bananas, cocoa and coffee imported from developing countries to Italy; (2) the calculation of the virtual water volumes used to produce the crops imported from developing countries to Italy through fair-trade; (3) the analysis of the economic water productivity, obtained by the fair-trade premium, for bananas, cocoa and coffee.

The results of this study identified and measured the amount of virtual water flows and water savings or losses deriving from the fair-trade of bananas, cocoa and coffee. The average virtual water flow related to the fair-trade imports in Italy amounts to 7.27 million m³ for bananas, 22,275 m³ for cocoa and 14,334 m³ for coffee. The research findings also highlight that fair-trade and the related premium ensures at the same time the achievement of social and institutional purposes but also the remuneration of virtual water used within the life cycle of the imported crops.

Previous scientific literature showed that fair-trade premium has commonly been used to finance environmental protection. No study has evaluated the environmental impacts associated with fair-trade, nor the monetary value associated with the natural resources exploited to produce crops to be exported. This empirical paper fills a literature gap in terms of identification, measurement and evaluation of virtual water flows along the supply chain processes of some fair-traded crops, also providing, through the economic water productivity approach, a useful tool for decision-makers.

Circular supply chains (CSC) are particularly important for the agri-food sector, which faces strict requirements generated by increased food consumption as a consequence of world population growth, changes in lifestyle, development of consumer society and increasing health awareness. Recent disruptive factors have placed the vulnerability of agri-food supply chains in the spotlight. Therefore, the purpose of this paper was to identify the most manageable groups of risks in order to ensure the smooth operation of agri-food circular supply chains.

Seven main risk groups were evaluated in relation to nine criteria. To solve this multi-criteria decision making (MCDM) problem, a novel MCDM model, which integrates the best-worst method (BWM) and the COmprehensive distance-Based RAnking (COBRA) method in a grey environment, was developed.

Three risks were singled out, namely, product features risks, logistics risks and managerial risks. The obtained risks are those whose management would create the most positive effects for the stakeholders and help them achieve their primary goals regarding the circularity of agri-food supply chains.

This study investigates the main characteristics of the CSC in the agri-food sector, identifies, simultaneously explores and ranks all main risk groups associated with them and expands the possibilities for solving these kinds of problems by developing a novel MCDM model. It also identifies the most significant risks, both for individual stakeholders and for all stakeholder groups together.

This paper aims to explore the role of socioemotional wealth (SEW) in family firms’ (FFs) corporate social responsibility (CSR) engagement and practices. The authors draw on the notion of “Socioemotional endowment” (Gomez-Mejia et al., 2010), to interpret how the different dimensions of the FIBER model impact on the instrumental, moral or relational motives that push companies toward CSR.

The authors develop an integrated framework that analyzes motives of CSR practices (distinguishing between moral, instrumental and relational ones) and dimensions of FF’ SEW. The idea is that it is not possible to analyze the CSR attitude of FFs without distinguishing among the five dimensions of SEW (family control and influence; identification of family members with the firm; binding social ties; emotional attachment; and renewal of family bonds to the firm through dynastic succession).

The authors posit that FFs are particularly likely to engage in instrumental, moral or relational CSR practices depending on the FIBER dimension that they consider as primary reference point to achieve the goal of preserving SEW. In particular, out of the five FIBER dimensions, relational and instrumental motives appear to be more present in firms’ priority, when they deal with CSR activities.

Most of the literature on CSR and FFs concentrates on the differences between family and non-family firms (non-FFs) in approaching social responsible practices. Instead of debating whether FFs are more or less socially responsible than non-family organizations, the authors add to this literature by arguing that it is much more relevant to analyze which approach family firms (as an heterogeneous group) are more likely to adopt in relation to CSR. In so doing, they contribute to FFs studies on sustainability, by demonstrating that CSR engagement can be differently influenced and interpreted through the five dimensions of the FIBER model.

The purpose of this paper is to deepen the web marketing strategies used by wine family businesses (FBs) with the aim to identify the role assigned to websites, the online models and the competitive strategies implemented through them.

In order to examine the content and structure of the information found on the website of selected FBs, an ad hoc analysis model was designed and validated with the support of marketing and industry experts through an inspecting focus group (Mich, 2007).

The subsequent observation of the websites of the businesses studied showed that family-run Italian wineries use their websites mainly to present information about the business and as a relational tool through edutainment activities; FBs yet neglect the potential of e-commerce.

The study highlights the importance and the attention that FBs, among others, should dedicate to the role of web communications within their communications strategy. Although this path has allowed the traits essential to launch effective online communications for FBs, the small number of businesses surveyed (ten) does not permit a theoretical generalisation of the results. Thus, we expect to integrate the information obtained from this preliminary study with in-depth interviews with the digital strategists for the companies examined or by increasing the number of FBs studied.

The paper provides an evaluation model to effectively organise the websites’ contents; wine businesses should consider and customise these essential elements with the brand’s specific details.

Recent socioeconomic events, not least the Covid-19 pandemic, have led farms to rethink their traditional production methods. Innovation, new technologies and the establishment of relationships could be crucial for farms to remain competitive and sustainable over time. These factors can be assumed as structural and relational capital, two of intellectual capital's components. In this stream, the aim of this paper is to analyze how structural and relational capital could contribute to farm's sustainability in terms of competitiveness during its normal life cycle and in terms of resilience during an uncertain period, such as the coronavirus emergency.

The paper is supported by the qualitative methodology of a single case study. To reach the declared goal, the paper applies the C.A.O.S. (Characteristics, Ambience, Organizations, Start-up) model, an interpretative model for analyzing the small and medium enterprise dimension. In this way, the main aspects that allowed the farm to be competitive and to react at the emergency period were described.

The findings show that innovation technology involved the farm's internal processes, improving execution, control and feedback phases. Thanks to the two main introduced innovations, the farm reduced staffing costs and minimized cultivation risk related to climatic factors. These innovations are the main factors allowing the farm to increase its efficiency. Moreover, the proactive and reactive roles of the structural and relational capital to face the emergency period are confirmed.

The paper contributes to the literature in several ways. Regarding innovation literature, the paper shows how technology helps farms to improve their performance and their global competitiveness. Insight into structural and relational capital enhances the knowledge of intangible assets, such as intellectual capital. In the light of the Covid-19 emergency, the work demonstrates how the main resilience factors (proactive, i.e. structural capital, and reactive, i.e. relational capital) ensure the farm's survival.

Firms strive to find new ways of boosting value creation through integrating knowledge for innovation. Open innovation has altered this quest for excellence and, accordingly, this study aims to investigate the antecedents and enablers of innovation performance in firms belonging to a knowledge-intensive service sector of a developing country.

As such, data were gathered through a survey approach, targeting telecom service firms in Pakistan. Hypotheses were tested using the partial least squares technique. Measurement and structural models were assessed following the recommended two-stage procedure.

Results showed that knowledge sourcing and customer engagement impact the innovation performance of firms, whereas transformational leadership, knowledge sourcing and customer engagement are linked to innovation with the mediating effect of absorptive capacity.

This research helps to improve the innovation management practices of the firms belonging to this important sector and thus enables them to achieve sustainable competitive advantage through building their absorptive capabilities.

Knowledge-intensive business services are largely excluded from the great debate on open innovation so far, with a few exceptions. This research proposes and tests a model of enablers of open innovation that contributes toward improving the innovation performance of telecom firms in a developing country.

The aim of the study is to explore the genesis of entrepreneurial ecosystems (EE) and highlight the role played by intellectual capital (IC) in that process. Specifically, the paper adopts the collective intelligence approach, and the study shows how human capital (HC), structural capital (SC) and relational capital (RC) interact to create an entrepreneurial ecosystem.

The paper adopts a single case study of an Italian EE. The data analysis is based upon the collection of different sources of data: semi-structured interviews with representatives of each actor of the ecosystem; email correspondence; meetings report; a 24-months period of direct observation. Given the novelty of the topic, the qualitative method seems well suited for studying innovation-based EE since the method offers rich data about a phenomenon in real-life context.

The case is a top-down, innovation-based EE in which all main components of the IC play a crucial role from the initial stage. Findings show how the constant interchange between IC components occurs at two different levels: the micro and the meso level. HC and RC play major roles at both levels, whilst SC only occurs at a meso level, representing the environment in which the whole ecosystem takes place. Additionally, the use case, a new intangible asset integrating all three components of IC, emerged as one of the main outcomes of this innovation-based EE.

The paper contributes to a rather unexplored topic in the existing literature on EE and IC, namely the formation process of EE and the role played by IC within that process. Additionally, through the application of the collective intelligence approach, the authors shed light on the need to manage IC at both micro and meso level in the creation of an EE.

This paper aims to shed light on the risk structure in the presence of Islamic banking. The author concentrates on the relationship between Islamic banking and conventional banking in Turkey. Islamic banking and conventional banking are considered to be different kinds of sources for funding. Returns in the conventional banking are expected to be heavily influenced by the interest rate in the money market. However, Islamic banking returns are interest-free so that interest rate changes are not expected to affect the deposit returns in Islamic banks. Interest rates in the economy are a proxy to highlight the general risk level of the economy. By looking at the causal relationship between the deposit returns of both Islamic banks and conventional banks, it is possible to address the different types of banking in the general risk structure of the economy. This is one of the first studies to address the mentioned difference in banking sector in Turkish economy.

This paper tries to identify the direction of causality between Islamic and conventional banking term deposit rates by means of Granger Causality. Also, Granger Causality test results will guide to explore the Islamic and conventional banking deposit return linkages. The author has extended the study with vector autoregressive analysis to understand the correlation structure between conventional deposit rates and the profit–loss sharing ratio of Islamic Banks. The author has also extended this study with impulse response functions to see whether the shocks hitting into the conventional banking affect Islamic banking and vice versa.

The results suggest that there is no significant clear relationship between both banking sectors. This result can be interpreted, as Islamic banks do not adjust their profit–loss sharing (PLS) ratios pegged to the interest rate offered by conventional banks. Also, conventional banks determine their interest rate without any connection to the Islamic banking PLS ratios. Overall results of this study contradict the findings of studies which conclude that Islamic banking might not be different from the conventional banking. It is reported that inferences from pair-wise Granger causality alone might be spurious, as the analysis based on non-stationary series can be a consequence of time functional characteristics of the time series.

The results can be taken as counter evidence to the hypothesis “Islamic banks determine their PLS ratios based on the interest rates offered by conventional banks”. This address that the Islamic banks may offer alternative financing methodology which has different procedure. Hence, Islamic finance can be taken as an alternative method with its asset-based healthier structure.

This is one of the first studies to address the Islamic versus interest-based banking difference in banking sector in Turkish economy. This paper tries to identify the direction of causality between Islamic and conventional banking term deposit rates by means of Granger causality.