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This paper aims to propose a model for democratization of Islamic home financing to tackle the issue of sustainability of homeownership affordability.

A conceptual framework and fractional equity model (FEM) are developed to incorporate big data analytics, artificial intelligence and blockchain technology in an ecosystem for affordability and sustainability of homeownership via the proposed financing model. In addition, the FEM adopts the simulation approach to show its validity in terms of liquidity when compared with traditional home financing. In this regard, this paper is focused on developing and demonstrating the feasibility of a new financing model, rather than testing specific hypotheses or relationships. This is to propose the democratization model for Islamic Home Financing that will not benefit the prospective home buyers without compromising the profitability of the financial institutions.

The findings indicate that the proposed end-to-end solution within the financing ecosystem can lead to more efficient matching market between the buyers and sellers of houses, reduced transaction costs, greater transparency and enhanced efficiency which in the end could lead to lower costs of owning homes and sustained financial resilience among house owners. The findings indicate that the FEM model is able to increase homeownership with more elements of liquidity, marketability and sustainability for homebuyers.

This research highlights the potential of big data and blockchain technology in democratizing Islamic home financing and evidence that the transfer of ownership is possible through tokenization. However, this will require a mature financing environment to adapt the technology for practical application.

The model proposes a solution to propagate shared prosperity among stakeholders such as the house buyers/owners, sellers, investors as well the government agencies. The proposed FEM model provides alternative home financing that is more marketable, flexible and sustainable for households/buyers and financiers.

It is hoped that with the proposed financing ecosystem to promote affordability and sustainability of homeownership via big data analytics, artificial intelligence and blockchain technology can lead to greater financial resilience for homeowners which can then be translated to enhanced well-being, increased productivity and can further promote economic growth.

This research is a concept paper based on academic research and industry collaboration with a technology provider.

This study aims to design appropriate micro-fintech models for Islamic microfinance institutions (IMFIs), especially Baitul Maal wat Tamwil (BMT) in Indonesia, thus enabling BMT to combine Islamic social and commercial microfinance optimally.

This study uses the analytic network process and Delphi methods, with three groups of experts as the respondents, namely, academician-regulators, BMT practitioners and Fintech practitioners.

The first results show that the micro-fintech tools needed by IMFI/BMT are digital banking, payment, peer-to-peer (P2P) financing, P2P social and e-commerce. These could be developed by a BMT alone or with an APEX or Association, which could also collaborate with an existing fintech company that specialises in micro-fintech, applying the offline to online approach. This means that commercial funding, as well as social fundraising of zakat and waqf, would be conducted online, whereas commercial financing for micro and small enterprise customers and the disbursement of zakat and waqf would be conducted offline. The second results show that the limited open ecosystem and hybrid ecosystem are the most appropriate micro-fintech ecosystems for IMFIs/BMT, with various alternative models. In addition, the private closed ecosystem preferred by BMT would be feasible if all criteria show improvement in the future.

This study is qualitative in nature. The methods used have limitations, meaning the models could be improved by incorporating other methods. Moreover, the case and respondents are all Indonesian, which means that the results may only be applicable to BMTs in Indonesia.

A BMT and/or BMT association could immediately apply micro-fintech with a limited open ecosystem, while in the future, they could apply micro-fintech with a private closed ecosystem.

The micro-fintech model could be used to optimise the collections of zakat, infaq and waqf, meaning BMT could provide more social programmes for those in need.

The growth of fintech in Islamic microfinance has occurred only recently, while only a limited number of studies have been conducted; therefore, no study exists on the development of a micro-fintech model appropriate for IMFIs, especially BMT.

In industrial and business-to-business (B2B) marketing research, a business network ecosystem is an important antecedent of small- and medium-sized enterprises’ (SMEs’) performance. The purpose of this study is to clarify the direct and indirect effects of ecosystem network health on SMEs’ credit quality.

The data is collected from a survey of operations managers and financial managers of 282 SMEs in China. Structural equation modeling is used to test the hypotheses, and latent moderated structural equations are used to estimate the moderating effect model.

This research indicates that ecosystem network health can directly affect SMEs’ credit quality and have an indirect impact on credit quality through value co-creation capability. In addition, better informal institutional arrangements in the ecosystem can amplify the positive effects of network health and value co-creation capability on SMEs’ credit quality.

From an ecosystem perspective, it is necessary to bring the ecosystem characteristics into business scenario and explore their impacts on SMEs’ financing behaviors. This study contributes to B2B marketing research in terms of investigating the role played by ecosystem characteristics and value co-creation capability.

The study aims to identify the dynamic complexities and development points of the entrepreneurial ecosystem (EE) in the agricultural sector of Iran to improve production factors' productivity, including arable land, water resources and human capital.

First, the EE of the agricultural sector in Iran was designed following Isenberg's framework. Then, the main variables and interrelationships of the variables in each context of the ecosystem, called subsystems, were formulated using the system dynamics (SD) approach. Next, the model was simulated and validated. Afterward, different policy options were identified, embedded into the model structure and simulated. Finally, the best policy group was selected.

According to Isenberg's EE model, three groups of policies were identified and evaluated, including “entrepreneurship development financing and investment policy,” “agricultural ecosystem's supportive services development policy” and “production factors productivity development policy.” According to the simulation results, the best combination of the solution strategies was recognized. The presented SD-EE model has a generic nature in the agricultural sector and could be modified to be applied in different regions for policy-making purposes.

The main contribution of the study is twofold. First, Isenberg's EE framework is applied to structure the main subsystems and interrelationships of the subsystems in the agricultural sector that has previously received limited attention. Second, the research is the first to operationalize the basic theory of Isenberg's EE in practice applying a robust systemic modeling methodology like SD.

Supply chain finance (SCF) has become a vital ingredient that fosters growth and provides flexibility to the global supply chain. Thus, it becomes essential to understand the factors that contribute to the success of the supply chain finance ecosystem (SCFE). This study aims to identify the critical success factors (CSFs) for the development of an efficient and effective SCFE. Based on their characteristics, the study intends to classify the factors into constructs and further establish a hierarchical relationship among the CSFs.

The study is based on empirical data collected from 221 respondents based on administered questionnaires. Exploratory factor analysis (EFA) is carried out on 16 selected factors (out of 21 proposed factors) based on the feedback of the experts and the factors were classified into four constructs. The total interpretive structural modeling (TISM) model was developed by identifying and finalizing CSFs of the SCFE. The model developed a hierarchical relationship between the various factors.

The study identified significant CSFs for the efficient and effective SCF ecosystem. Four constructs were developed by analyzing CSFs using the EFA. The finalized 16 CSFs modeled through the TISM and further hierarchical relationship established between the CSFs concludes that governmental policies and sectoral growth are the strongest driving forces and financial attractiveness is the weakest driving force. Based on the CSFs and the constructs identified, it was found that for the success of the SCF ecosystem, the existence of an economic ecosystem provides a facilitating framework for the overall development of the SCFE. Also, the trustworthiness among the partners fosters better relationships and results in financial feasibility and offers business opportunities for all the stakeholders.

This study will help the SCF partners across the globe understand the CSFs that ensure development of mutually beneficial SCF ecosystems and provide flexibility to the supply chain partners. The CSFs would provide insights to the policymakers and the financial intermediaries for providing a conducive environment for the development of a better SCF ecosystem. Also, the buyers and sellers would understand the CSFs that would develop better relationships among them and ultimately help in development of business across the globe.

The study identifies the CSFs for the SCF ecosystem. The study ascertains the significant factors and classifies them into clusters using EFA. Unlike the literature available, the paper develops the hierarchical relationship between the CSFs and develops a model for an efficient and effective SCF ecosystem.

The purpose of this paper is to set forth a conceptual model describing the actors and roles in ecosystems created to enable productive black entrepreneurship in the USA.

This paper provides a systematic literature review of entrepreneurship ecosystems. It further leverages such literature review by using an autoethnographic approach recommended by Guyotte and Kochacka (2016), drawing on the authors’ practical experience in studying, owning, educating or consulting employer businesses owned by persons of color in the USA and abroad.

Each actor in the ecosystem has practical wisdom and assets that can be shared and leveraged through interacting with the other actors either as role model institutions or capacity development institutions, thus mitigating social inequalities and boosting economic progress by extending entrepreneurial opportunities beyond those that are greatly resourced.

Our literature review is based on selected samples of relevant articles on entrepreneurship ecosystem research and ethnic minority entrepreneurship, and thus, is not exhaustive. The selection was partly influenced by the authors’ opinion of whether a given study was relevant or not to a black entrepreneurship ecosystem. There is the possibility that some relevant studies were excluded. Thus, other actors are encouraged to revise or adapt this model to inform their distinct roles and goals.

The proposed model can help actors involved in the operation or support of a black-owned business make optimal business decisions, enabling each actor to be instrumental in another’s understanding of how to facilitate the success of black American entrepreneurs and business owners and thus, deploy marketing campaigns to boost the visibility and role of each actor. These campaigns play a role in their entrepreneurial marketing efforts.

Responding to Gines and Sampson’s (2020) call, to the best of the authors’ knowledge, this paper is the first to explicitly provide a comprehensive black entrepreneurship ecosystem model that identifies the actors, roles and activities that can help black Americans address social inequalities that limit their ability to become a successful employer business. The proposed model may aid in deepening the theoretical discussion on entrepreneurial ecosystems and be of inspiration for the future works of scholars and practitioners interested in the entrepreneurship and marketing interface.

For decades, financing constraints have been a major obstacle to corporate performance. Volumes have been written about the probable factors that can help firms alleviate such financial constraints. Nonetheless, empirical evidence concerning the various perspectives on how inventory control may influence financing constraints has been surprisingly scant. Using the resource- and region-based view as theoretical lenses, this study seeks to estimate the relationship between lean inventory, regional financial technology (fintech) and financing constraints.

Utilizing a large-scale sample of small- and medium-sized enterprises (SMEs) in China's manufacturing sector, the authors empirically test their hypotheses by using hierarchical linear regression models with multiple high-dimensional fixed effects.

Results indicate that firms with higher levels of inventory leanness and those located in more fintech-developed regions are less likely to encounter financing constraints. Furthermore, inventory leanness and regional fintech ecosystem development interact with each other to mitigate financing constraints. Moreover, inventory leanness significantly decreases firms' financing constraints when the regional fintech ecosystem is highly developed.

The present research contributes to the literature on the interface of supply chain management and financial management. It also provides managerial implications for policymakers and SME stakeholders.

This study aims to determine the relationship between the banking industry and home financing by conducting a regression analysis between the mortgage loan interest rates and the number of housing sales, and based on the results of the analysis, this paper proposes a new and alternative interest-free home financing model by directing the savings of the people in pension funds into real estate investment funds (housing fund), specifically established to provide a bank loan-free home financing solution. Diminishing Musharakah (partnership) is also integrated into the model from an interest-free and saving economy perspective. The model developed also provides opportunities to increase the size of the real estate investment funds and provide alternative investment tools to pension funds.

While the global financial crisis resulted from the mortgage crisis in the USA in very recent history, the world has been experiencing the evolution of a new health crisis, COVID-19, a pandemic that has been heavily affecting the global economy in the past two years. The housing sector is among one of the major industries that may be affected by this new global crisis because of the high dependency of the current home financing models on the banking industry, which is carrying the burden of the pandemic. The rapid increase in global debt volume, housing prices, inflation and interest rates are observed as bad signs that may increase the risks of the housing industry. A potential decrease in purchasing power because of high inflation rates may decrease the welfare of people and reduce the income level. While the total debt keeps increasing worldwide, and central banks are considering increasing the interest rates, any potential default in the repayment of the mortgage loans may trigger a new mortgage crisis as the bank loan-dependent financing system of the housing industry lacks alternatives. Thus, a relationship analysis between the banking and housing sectors is required to figure out the dependency of home financing on the banking industry, and a new sustainable home financing model is needed to protect the housing industry and the homebuyers from a negative effect of a new possible financial crisis.

The results of the analysis exhibit that there is a strong negative relationship between the mortgage loan interest rates and the total home sales. As a result, the new model is suggested and this new model is tested in an emerging country, Turkey, with the real housing sector and economic data where the interest rates are high and the home prices are booming. The results exhibit that the new interest-free home financing model provides a more economic financing solution compared with the high financing costs of bank loans.

The model proposed in this study is unique, and there is no such system that has integrated the pension funds, the real estate investment funds and diminishing partnership in one ecosystem. It is expected that the model may decrease the dependency of home financing on the banking industry and decrease the risks of the housing sector in the case a new financial crisis occurs.

While providing a sustainable and alternative interest-free home financing tool, the model also provides individuals who do not prefer to use any bank loan because of religious or other concerns an opportunity to purchase their houses.

The model proposed in this study is a unique and original model that aims to provide a bank loan-free, sustainable home financing solution by integrating the pension funds, real estate investment funds and diminishing partnership in one ecosystem.

Bringing more impact seems to be a real issue for social initiatives and organizations requiring the adoption of new approaches. The paper aims to define an integrated approach for building, maintaining and upgrading Islamic social finance and sustainable ecosystems.

The paper presents a conceptual framework based on case studies and literature review describing the methodology and the necessary steps to build sustainable ecosystems.

The paper shows the impact of building social finance ecosystems on tackling social issues. It emphasizes the idea that solving social issues is everybody’s business – from governments to businesses – and that those initiatives require sufficient Sharīʿah-compliant funding to achieve sustainability goals.

The paper does not focus on the Islamic world experiences in building ecosystems serving social causes.

The paper gives an overview on how collaboration between the different social oriented organisations can enhance the social impact of the different initiatives. The aim is to ensure adequate financing to all the ecosystem components during the whole lifecycle.

The suggested approach of building sustainable ecosystems can serve as a way to assess the existing social initiatives and practices to find relevant combinations targeting more impact.

In the social sphere, the idea of building ecosystems has been explored in different ways but never in a way that gathers all the components including finance providers, coordinators and the different types of initiatives. The paper adapts the ecosystem concept to the Islamic finance specificities.