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Loan default risk or credit risk evaluation is important to financial institutions which provide loans to businesses and individuals. Loans carry the risk of being defaulted. To understand the risk levels of credit users (corporations and individuals), credit providers (bankers) normally collect vast amounts of information on borrowers. Statistical predictive analytic techniques can be used to analyse or to determine the risk levels involved in loans. This paper aims to address the question of default prediction of short-term loans for a Tunisian commercial bank.

The authors have used a database of 924 files of credits granted to industrial Tunisian companies by a commercial bank in the years 2003, 2004, 2005 and 2006. The naive Bayesian classifier algorithm was used, and the results show that the good classification rate is of the order of 63.85 per cent. The default probability is explained by the variables measuring working capital, leverage, solvency, profitability and cash flow indicators.

The results of the validation test show that the good classification rate is of the order of 58.66 per cent; nevertheless, the error types I and II remain relatively high at 42.42 and 40.47 per cent, respectively. A receiver operating characteristic curve is plotted to evaluate the performance of the model. The result shows that the area under the curve criterion is of the order of 69 per cent.

The paper highlights the fact that the Tunisian central bank obliged all commercial banks to conduct a survey study to collect qualitative data for better credit notation of the borrowers.

El riesgo de incumplimiento de préstamos o la evaluación del riesgo de crédito es importante para las instituciones financieras que otorgan préstamos a empresas e individuos. Existe el riesgo de que el pago de préstamos no se cumpla. Para entender los niveles de riesgo de los usuarios de crédito (corporaciones e individuos), los proveedores de crédito (banqueros) normalmente recogen gran cantidad de información sobre los prestatarios. Las técnicas analíticas predictivas estadísticas pueden utilizarse para analizar o determinar los niveles de riesgo involucrados en los préstamos. En este artículo abordamos la cuestión de la predicción por defecto de los préstamos a corto plazo para un banco comercial tunecino.

Utilizamos una base de datos de 924 archivos de créditos concedidos a empresas industriales tunecinas por un banco comercial en 2003, 2004, 2005 y 2006. El algoritmo bayesiano de clasificadores se llevó a cabo y los resultados muestran que la tasa de clasificación buena es del orden del 63.85%. La probabilidad de incumplimiento se explica por las variables que miden el capital de trabajo, el apalancamiento, la solvencia, la rentabilidad y los indicadores de flujo de efectivo.

Los resultados de la prueba de validación muestran que la buena tasa de clasificación es del orden de 58.66% ; sin embargo, los errores tipo I y II permanecen relativamente altos, siendo de 42.42% y 40.47%, respectivamente. Se traza una curva ROC para evaluar el rendimiento del modelo. El resultado muestra que el criterio de área bajo curva (AUC, por sus siglas en inglés) es del orden del 69%.

El documento destaca el hecho de que el Banco Central tunecino obligó a todas las entidades del sector llevar a cabo un estudio de encuesta para recopilar datos cualitativos para un mejor registro de crédito de los prestatarios.

Curva ROC, Evaluación de riesgos, Riesgo de incumplimiento, Sector bancario, Algoritmo clasificador bayesiano.

Artículo de investigación

Using the lens of crisis innovation and strategic alignment, this study explores how a segment of the restaurant sector that may be less agile than others—Michelin-starred restaurants—perceives and aligns with the challenges brought about by the COVID-19-pandemic.

The study collected data from 19 Michelin-starred restaurants in Spain using a qualitative interview method. The data were analyzed qualitatively and organized thematically.

Four key categories of strategic challenges were identified: human resources, uncertainty, control and economic challenges. In response, chefs displayed both behavioral and organizational strategies. Those organizational strategies were new human resource management, reorganization, product and service innovation and marketing. While the new human resource management actions adopted to align with the human resource challenges identified, a misalignment remains between some of the other strategic actions, such as product and service innovation, marketing and economic and uncertainty challenges.

The findings offer new insight into Michelin-starred restaurant chefs' challenges and (mis)alignment strategies, an area that has been understudied in the current literature on innovative responses in the hospitality sector post-pandemic.

The purpose of this paper is to examine the current state of corporate entrepreneurship (CE) of emerging market firms (EMFs) and provide direction for future research on the topic.

The authors specifically review the recent literature between the years 2000 and 2019 on CE with the keywords “corporate entrepreneurship,” “emerging economies” and “emerging countries” published in the Australian Business Deans Council list journals. The authors review the existing literature about CE in emerging markets, summarize current achievements and present an agenda for future research.

Based on the review, the authors categorized the macro and micro contexts of CE and summarized the current articles on CE in emerging markets within each macro and micro context. The authors conclude that despite the abundance of research on CE that investigates the three prongs of CE in terms of innovation, strategic renewal and new venturing in developed market contexts, there is a scarcity of literature that focuses on CE in emerging markets from a holistic perspective.

While there is an abundance of literature review on CE in general in terms of the drivers of the construct, the contexts contributing to it and the outcomes, the reviews are lacking about CE specifically within the context of emerging markets. Emerging markets vary from developed markets institutionally, economically, culturally, socially and technologically. However, the questions of how these differences impact the CE activities, as it relates to innovation, venturing and strategic renewal in EMFs, and how these differences provide incentives or hinder the activities that contribute to CE remain mostly unanswered. This paper reviewed the research on CE and emerging market contexts from 2000 to present. It targets to provide a better understanding of the current achievement on this topic and what to be done in the future.

This paper aims to describe the experiences of the Maastricht University Library in The Netherlands with regard to the evaluation of electronic subscriptions. For the evaluation of Big Deals, a tool was built to obtain an overview of the value of the package. For individual subscriptions, ways were investigated to keep rising costs under control.

The paper shows the ways in which the library staff endeavoured to gain more control over the renewal of electronic content. Several options were investigated and tried out in practice.

To use the evaluation tool, the faculties delivered core title lists of journals. After combining these with usage statistics, the titles in the package and the list prices of these titles, the staff are provided with a report. This report is very helpful for making a decision about the renewal. However, it is clear that it is difficult to control something the steep annual price increases of individual journals subscriptions.

This is one of the very few papers published on attempts to control journal price increases. The paper describes a subject that libraries worldwide encounter and thus will help to meet the needs of library staff involved with collection and license management.

This paper aimed to determine the extent to which academic libraries and information services were extended due to the emergence of COVID-19 in the Gauteng Province, South Africa.

Founded on a pragmatism paradigm, the sequential explanatory research design was adopted to engage with participants and respondents on their experience of library services extensions to support users during the COVID-19 pandemic. Data were collected using online questionnaires and interviews. Cluster and purposive sampling were used and data for the quantitative part were analyzed using the Statistical Package for the Social Sciences (SPSS), whilst qualitative data were analyzed manually.

Findings revealed that academic libraries operating in a higher education environment provided extensive support to remote users during the COVID-19 pandemic. This was done through the utilization of a variety of technology utilization, ranging from traditional e-mail support to the use of technology related to Artificial Intelligence such as the BOTsa, which is a Chatbot aimed to assist users in receiving speedy responses to library-related inquiries.

This study is unique in that it focuses on academic libraries that operate in higher education environments where support for achieving academic endeavors becomes imperative to ensure the smooth execution of teaching and learning activities within the restrictions put in place due to the COVID-19 pandemic. Adaptions and improvements to academic library services during and post-COVID-19 era were successful in ensuring that remote users could obtain similar services and access to information as was the case before the outbreak of the COVID-19 pandemic.

This paper aims to present the theoretical and conceptual framework of a new method in public finance called “participation based tax increment financing (P-TIF)” by combining conventional tax increment financing (TIF) within the Sharīʿah-compliance structure.

This study develops a benchmark model for P-TIF, which offers a participative contract between both lender and borrower. With the help of this model, a financing schema in P-TIF is established by incorporating stochastic modelling. Possible implications and alternative options of application are also explored with a discussion of challenges.

The results mainly indicate that P-TIF promises lenders to be a part of increment from tax earnings, in return for a reduced interest rate. They show how a rise in participation of the lender in a given contract lowers the interest rate. Under the base case scenario, the interest rate is reduced to zero when the participation of the lender in tax increment is set at 50%.

With the feature of being interest-free, P-TIF can be implied also within the Sharīʿah-compliance framework, thanks to the model it is based on. Additionally, as the model in this paper is parametric, it can be applicable to various cases in Islamic finance.

To the best of our knowledge, this is the first paper in the literature in the sense that it provides a conceptual idea and respective model for TIF method within a Sharīʿah-compliance framework.

To investigate the consequence of COVID-19 pandemic on the financial reporting and disclosure (FRD) practices, the study has been conducted. Moreover, this paper highlights the significance of FRD practices in any emergency period and its relevance with legitimacy theory in Bangladesh Perspective.

The COVID-19 pandemic has adverse impact on business. Hence, all the business activities have been categorized into five major aspects which are financial factors, business operations, business contracts, business value and stakeholders. These five major activities have been considered as independent variable. By analyzing various policy recommendations and guidelines of global and local accounting bodies, a structured questionnaire was developed in association with related IAS and IFRSs. Then, it was distributed among the accounting professionals of Bangladesh who are currently engaged in financial statement preparation and auditing services. Finally, data was analyzed through structural equation modeling (SEM) to test the hypothetical relationship between dependent variable and independent variable.

This study finds that financial factors, business contracts and stakeholders have significant relationship with the financial reporting and disclosure practices during the COVID-19 pandemic period. However, business operation and business value have no significant relationship with financial reporting and disclosure practices.

This study tries to analyze why and how firms should disclose essential information (both financial and non-financial) to the financial statement users during the COVID-19 pandemic. This study can be used as benchmark to issue a separate policy or standard for reporting any kind of adverse event in the financial reporting and disclosure practices.

To our best knowledge, we believe that this is first kind of study undertaken to investigate the consequence of COVID-19 pandemic on the FRD practices in the context of Bangladesh. This study is kind of exploratory in nature. Hence, future studies can explore industry-based financial reporting and disclosure practice in any pandemic period.

Drawing on the literature on professional ignorance, here defined in affirmative terms as the capacity to act regardless of the incompleteness of available information in organizations and professional communities, the article reports empirical material from an urban development project wherein policy makers' instructions are vague and, in certain domains, inconsistent with market conditions.

Urban development projects regularly include uncertainty and risk taking, and policy makers' stated objectives regarding project goals may be incomplete or merely signal a political ambition. In such situations, first-line project participants need to make decisions as if uncertainties regarding policy objectives are manageable and preferably minimal. The purpose of the article is to substantiate the proposition that professional ignorance is a key mechanism in incomplete or imperfect governance systems.

Project participants actively questioned policy but acted on the instructions just the same, which is indicative of how professional ignorance is supportive of governance system that relies on first-line market actors and agencies to implement also incomplete or vaguely stated policy objectives. Incomplete policies derive from challenges in political deliberation and bargaining processes, uncertainty regarding the future and shifting preferences among policy makers and constituencies more widely. In practice, incomplete policies regularly include issues for first-level actors (e.g. on the urban development project level) to handle and to reconcile in their day-to-day work.

On basis of an empirical study of a major urban development project, the study contributes to a growing literature that recognizes the value of professional ignorance in governance systems and in project management practice. The study invites further scholarly research that takes an affirmative of professional ignorance but without overlooking its risks and potential malfunctions.

Debate is growing around the expansion of risk-based regulation. The regulation scholarship provides evidence of regulatory failure of the risk-based approach in different domains, including financial regulation. Therefore, this paper aims to provide cautionary evidence about the risk of regulatory failure of risk-based strategy in the financial regulation while using enterprise risk management (ERM) as a meta-regulatory toolkit.

Based on interview data gathered from 30 risk managers of banks and five regulatory personnel, combined with secondary data, this study mainly explores the challenges for meaningful use of ERM based self-regulation in regulated banks. The evidence helps to assess the risk of regulatory failure of the risk-based regulation while using ERM.

The evidence reflects that regulated banks face diverse challenges arising from both peripheral and internal environments that limit the true internalization of ERM-based self-regulation. Despite this, the regulator uses this self-regulation as a meta-regulatory toolkit under the risk-based regulation to achieve the regulatory aims. However, the lack of true internalization of ERM based self-regulation is likely to raise the risk of regulatory failure of risk-based regulation to achieve the regulatory goals. Risk-based regulation is an evolving strategy in the regulatory regime. Therefore, care should be taken while using ERM as a regulatory toolkit before relying on it substantially.

The paper provides empirical insights about the challenges for effective use of ERM as a meta regulatory toolkit that might be useful practically both to the regulators and regulated firms.

Corporate social responsibility (CSR) aims at upholding socio-economic condition of deprived communities prevailing in society as well as bringing profitability for corporate companies themselves. This study investigates to what extent the CSR initiatives of financial institutions in Bangladesh have been able to reach out to deprived communities and support various dimensions of financial inclusion (FI) in the country.

In this study, both supply-side and demand-side data are included and discussed rigorously as tools to cross-check the result. Both qualitative and quantitative data are incorporated, and graphs and tables are used to represent the critical information better. A triangulation of in-depth interviews with secondary data is used to ensure rigor and trustworthiness. The triangulation approach works as a method to verify secondary data by interviewees in this study.

The result shows a positive geographical and demographical penetration of CSR activities, but it does not necessarily bring FI in all cases. This study identifies some key issues that prevail in the current context of Bangladesh, such as usage, distance, quality and cost of financial products.

This study makes use of both supply-side and demand-side information and thus explain the reasons behind the involuntary exclusion of financial services.