scholarly journals Would credit scoring work for Islamic finance? A neural network approach

2014 ◽  
Vol 7 (1) ◽  
pp. 112-125 ◽  
Author(s):  
Hussein A. Abdou ◽  
Shaair T. Alam ◽  
James Mulkeen
Keyword(s):  
Neural Network ◽  
Decision Making ◽  
Credit Scoring ◽  
Islamic Finance ◽  
Decision Making Process ◽  
Data Set ◽  
Content Type ◽  
Modeling Techniques ◽  
The Uk ◽  
Training Subset

Purpose – This paper aims to distinguish whether the decision-making process of the Islamic financial houses in the UK can be improved through the use of credit scoring modeling techniques as opposed to the currently used judgmental approaches. Subsidiary aims are to identify how scoring models can reclassify accepted applicants who later are considered as having bad credit and how many of the rejected applicants are later considered as having good credit, and highlight significant variables that are crucial in terms of accepting and rejecting applicants, which can further aid the decision-making process. Design/methodology/approach – A real data set of 487 applicants is used consisting of 336 accepted credit applications and 151 rejected credit applications made to an Islamic finance house in the UK. To build the proposed scoring models, the data set is divided into training and hold-out subsets. The training subset is used to build the scoring models, and the hold-out subset is used to test the predictive capabilities of the scoring models. Seventy per cent of the overall applicants will be used for the training subset, and 30 per cent will be used for the testing subset. Three statistical modeling techniques, namely, discriminant analysis, logistic regression (LR) and multilayer perceptron (MP) neural network, are used to build the proposed scoring models. Findings – The findings reveal that the LR model has the highest correct classification (CC) rate in the training subset, whereas MP outperforms other techniques and has the highest CC rate in the hold-out subset. MP also outperforms other techniques in terms of predicting the rejected credit applications and has the lowest misclassification cost above other techniques. In addition, results from MP models show that monthly expenses, age and marital status are identified as the key factors affecting the decision-making process. Originality/value – This contribution is the first to apply credit scoring modeling techniques in Islamic finance. Also in building a scoring model, the authors' application applies a different approach by using accepted and rejected credit applications instead of good and bad credit histories. This identifies opportunity costs of misclassifying credit applications as rejected.

Reducing construction material cost by optimizing buy-in decision that accounts the flexibility of non-critical activities

2018 ◽  
Vol 25 (8) ◽  
pp. 1092-1108 ◽  
Author(s):  
Junna Meng ◽  
Jinghong Yan ◽  
Bin Xue ◽  
Jing Fu ◽  
Ning He
Keyword(s):  
Neural Network ◽  
Decision Making ◽  
Design Methodology ◽  
Construction Material ◽  
Decision Making Process ◽  
Content Type ◽  
Material Cost ◽  
Starting Date ◽  
The Right ◽  
Start Dates

Purpose The goal of making buy-in decisions is to purchase materials at the right time with the required quantity and a minimum material cost (MC). To help achieve this goal, the purpose of this paper is to find a way of optimizing the buy-in decision with the consideration of flexible starting date of non-critical activities which makes daily demand adjustable. Design/methodology/approach First, a specific algorithm is developed to calculate a series of demand combinations modeling daily material demand for all the possible start dates. Second, future material prices are predicted by applying artificial neural network. Third, the demand combinations and predicted prices are used to generate an optimal buy-in decision. Findings By comparing MC in situation when non-critical activities always start at the earliest date to that in situations when the starting date is flexible, it is found that making material buy-in decision with the consideration of the flexibility usually helps reduce MC. Originality/value In this paper, a material buy-in decision-making method that accounts non-critical activities’ flexible starting date is proposed. A ternary cycle algorithm is developed to calculate demand combinations. The results that making material buy-in decision considering non-critical activities’ flexible starting date can reduce MC in most times indicates that contractors may consider non-critical activities’ flexibility a part of the buy-in decision-making process, so as to achieve an MC decrease and profit increase.

scholarly journals Supply chain resilience and business responses to disruptions of the COVID-19 pandemic

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Usha Ramanathan ◽  
Olu Aluko ◽  
Ramakrishnan Ramanathan
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Exploratory Study ◽  
Mixed Methods Research ◽  
Small And Medium Enterprises ◽  
Retail Sector ◽  
Data Set ◽  
Content Type ◽  
The Uk

PurposeAt its peak, the COVID-19 pandemic has created disruption to food supply chains in the UK and for the entire world. Although societal changes created some resilience within the supply chains, high volatility in demand creates supply, logistics and distribution issues. This is reflected in the economic instability of businesses and small and medium enterprises (SMEs). In this paper, the authors explore factors behind this initial disruption in the supply chains and offer suggestions to businesses based on the established practices and theories.Design/methodology/approachThe authors use mixed methods research. First, the authors conducted an exploratory study by collecting data from published online sources. Then, the authors analysed possible scenarios from the available information using regression. The authors then conducted two interviews with UK retail sector representatives. These scenarios have been compared and contrasted to provide decision-making points to businesses and supply chain players to tackle current and any future potential disruptions.FindingsThe findings from the current exploratory study inform the volatility of supply chains. The authors suggested some possible responses from businesses, during and after the pandemic.Originality/valueThe regression model provides a decision-making approach to help supply chain businesses during the pandemic outbreak. Once a complete data set of COVID-19 is available, the authors can create a resilience model that can help businesses and supply chains.

scholarly journals How lead investors build trust in the specific context of a campaign

2019 ◽  
Vol 26 (2) ◽  
pp. 203-223 ◽  
Author(s):  
Li Xiao
Keyword(s):  
Decision Making ◽  
Interpersonal Trust ◽  
Early Stage ◽  
Relational Trust ◽  
Decision Making Process ◽  
Specific Context ◽  
Data Set ◽  
Content Type ◽  
Extreme Risk

Purpose The purpose of this paper is to explore the role of trust in the unobservable decision-making process of lead investors and follow-on investors in the specific context of equity crowdfunding (ECF) campaigns. Design/methodology/approach This work employs a case study approach. The author conducts a three-year inductive field study of Chinese ECF – AngelCrunch. The author gathered both campaign and platform-level data from the selected case covering a period of seven years from 2011 to 2018. The data set used for this study includes the characteristics of 189 online campaigns, 25 face-to-face interviews with the platform managers, early-stage investors and entrepreneurs, first-hand observations and quarterly reports on online campaigns supplemented with informal interviews with the authors for the reports. Findings The findings from this study provide early insights onto the unobservable decision-making process of ECF investors. It demonstrates that lead investors use both selective signalling information and physical interactions with the entrepreneurs to build competence and relational trust on which they rely for making an early pledge. It also shows that follow-on investors differ from lead investors in the process of building trust for decision-making. Furthermore, this work uncovers the role of ECF platforms in facilitating the process of building interpersonal trust for the decision making, with challenges to maintain the notion of platforms in raising a small amount of capital from a large crowd. Research limitations/implications This study is constrained by the limited scale of qualitative elements available. The findings of the study have implications for platform managers, investors and policy makers. Originality/value Building on entrepreneurial finance and trust theory, this work demonstrates how lead investors build competence and relational trust on which they rely to make an early pledge in the context of ECF. The perception of a lead investor and the commitment together with the selective and formative information by the entrepreneur/s are key in follow-on investors’ decision making. This study uncovers that crowdfunding enables additional and valuable information to be assessed by crowd investors to manage extreme risk and uncertainty occurred in early-stage investments. This work also demonstrates that virtual world has its limitations to build interpersonal trust for managing extreme risk.

Performance of Shari’ah-compliant and non-Shari’ah-compliant listed firms: a case study of Malaysia

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Irum Saba ◽  
Mohamed Ariff ◽  
Eskandar Shah Mohd Rasid
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Islamic Finance ◽  
Decision Making Process ◽  
Content Type ◽  
Listed Firms ◽  
Finance Industry ◽  
The Impact ◽  
Statistical Results

Purpose Shari’ah provides the basic tenets of the Islamic finance industry and advocates banks to share their profits and losses with investors. But what it means for a firm to be “Shari’ah-compliant” and what form of connections it can have, even in theory, to either the firm’s value or profitability is still an untapped question. This study tries to answer this question. This study aims to find the impact of Shari’ah compliance on firm performance. The results obtained would be useful in helping investors, regulators, companies, government, academicians and practitioners in their decision-making process as to ensure better economic and business gains, both locally and globally. Design/methodology/approach Panel data on 634 Shari’ah-compliant firms have been used in this study for the period of 2000–2014. Findings The results indicate that Shari’ah compliance adds to the value of firms as firms perform transactions according to Shari’ah while avoiding non-permissible activities. Originality/value This study adds value to the existing literature by showing the statistical results for the impact of Shari’ah compliance on the performance of the listed firms on Bursa Malaysia.

An analysis of the religious, social factors and income’s influence on the decision making in Islamic microfinance schemes

2020 ◽  
Vol 11 (2) ◽  
pp. 361-376
Author(s):  
Shaheen Mansori ◽  
Meysam Safari ◽  
Zarina Mizam Mohd Ismail
Keyword(s):  
Decision Making ◽  
Social Influence ◽  
Structural Equation ◽  
Islamic Law ◽  
Peer Pressure ◽  
Primary Data ◽  
Decision Making Process ◽  
Data Set ◽  
Content Type ◽  
Islamic Microfinance

Purpose Islamic microfinance schemes are designed and developed with the primary intention of poverty alleviation and fulfillment of the Islamic law requirements. The purpose of this study is to investigate the effects of religiosity, religious leader’s endorsement, social influence and income on the intention to apply for Islamic microfinance among Muslims in Malaysia. Design/methodology/approach This study is based on a public survey to collect primary data from various states in Malaysia. Then, structural equation modelling (SEM) was used to analyse the data set. Findings The results of SEM indicate significant roles for religiosity and religious leader’s endorsement as religion-based factors on intention to apply for microfinance products. Moreover, social influence (peer-pressure) is influential on the financial decision-making process. The authors also examined the moderation effect of gender on these relations and found that females, in comparison to males, tend to be more influenced by religious leader’s endorsement and social influence. On the other hand, male with higher religiosity tend to favour Islamic microfinance products more than females. Originality/value Findings of this study are new in many aspects, most importantly as it sheds light into the role of religiosity and religious leader’s endorsement on the decision-making process in microfinancing services.

Measuring intellectual capital in a firm belonging to a strategic alliance

2015 ◽  
Vol 16 (1) ◽  
pp. 174-198 ◽  
Author(s):  
Stefania Veltri ◽  
Andrea Venturelli ◽  
Giovanni Mastroleo
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Intellectual Capital ◽  
Strategic Alliances ◽  
Strategic Alliance ◽  
Empirical Work ◽  
Organizational Level ◽  
Decision Making Process ◽  
Content Type ◽  
Scant Attention

Purpose – The purpose of this paper is to propose a method to measure intellectual capital (IC) in firms involved in strategic alliances, an area that has received scant attention in the literature, as existing research is focused mainly on organizational level mainly and increasingly on macro-level unit such as regions or nations. There are very few works at the meso-level (i.e. alliances, clusters), and the paper aims to fill this void, by providing researchers and practitioners with a tool capable of combining measurement and management aims, developed at organizational level with the active participation of the researchers. Design/methodology/approach – The method of analysis is based on a model formalized through a fuzzy expert system (FES). The FES are able to merge the capabilities of an expert system to simulate the decision-making process with the vagueness typical of human reasoning, maintaining the ability to still have a numeric value as a response. Its construction requires the participation of experts, whose knowledge of the problem is accumulated in the form of blocks of rules. These features make it possible to formalize the decision-making process related to the IC valuation, handling qualitative and quantitative variables, and exploring the cognitive mechanisms underlying this process. Findings – The outcome of the application is a system designed to measure the intangible performance deriving from participation in a strategic alliance using FES. This study contributes to the broadening of the research community’s understanding regarding the alternative measurement of IC created within strategic alliances. Research limitations/implications – To the best of the authors’ knowledge, IC literature lacks methods expressly designed to measure the incremental value of IC originating from collaboration among firms. From a measurement perspective, the results may be regarded as valuable proof that IC performance within strategic alliances can be measured quantitatively. Practical implications – On the management side, the possibility of retracing the determinants of different IC intermediate indicators composing the final IC index allows strategic alliances managers to use this information for decision-making purposes. Originality/value – To the best of the authors’ knowledge this is the first study applying FES to measure IC in a firm belonging to a strategic alliance. In the authors’ opinion, fuzzy logic methodology, recently applied in empirical work designed to evaluate IC, represents a reliable methodology because of the “fuzzy” nature of IC.

scholarly journals NI4 Analysis of Stakeholders Involved in HTA Decision Making Process in the UK

2012 ◽  
Vol 15 (7) ◽  
pp. A278
Author(s):  
A. Kalbasko ◽  
M. Andreykiv ◽  
A. Van Engen ◽  
O. Zorzi
Keyword(s):  
Decision Making ◽  
Decision Making Process ◽  
The Uk

Comparing predictive performance of general regression neural network (GRNN) and hedonic regression model for factors affecting housing prices in “Pune-India”

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abhijat Arun Abhyankar ◽  
Harish Kumar Singla
Keyword(s):  
Neural Network ◽  
Regression Model ◽  
Multivariate Regression ◽  
Housing Prices ◽  
Predictive Performance ◽  
General Regression Neural Network ◽  
Multivariate Regression Model ◽  
Data Set ◽  
Content Type ◽  
General Regression

Purpose The purpose of this study is to compare the predictive performance of the hedonic multivariate regression model with the probabilistic neural network (PNN)-based general regression neural network (GRNN) model of housing prices in “Pune-India.” Design/methodology/approach Data on 211 properties across “Pune city-India” is collected. The price per square feet is considered as a dependent variable whereas distances from important landmarks such as railway station, fort, university, airport, hospital, temple, parks, solid waste site and stadium are considered as independent variables along with a dummy for amenities. The data is analyzed using a hedonic type multivariate regression model and GRNN. The GRNN divides the entire data set into two sets, namely, training set and testing set and establishes a functional relationship between the dependent and target variables based on the probability density function of the training data (Alomair and Garrouch, 2016). Findings While comparing the performance of the hedonic multivariate regression model and PNN-based GRNN, the study finds that the output variable (i.e. price) has been accurately predicted by the GRNN model. All the 42 observations of the testing set are correctly classified giving an accuracy rate of 100%. According to Cortez (2015), a value close to 100% indicates that the model can correctly classify the test data set. Further, the root mean square error (RMSE) value for the final testing for the GRNN model is 0.089 compared to 0.146 for the hedonic multivariate regression model. A lesser value of RMSE indicates that the model contains smaller errors and is a better fit. Therefore, it is concluded that GRNN is a better model to predict the housing price functions. The distance from the solid waste site has the highest degree of variable senstivity impact on the housing prices (22.59%) followed by distance from university (17.78%) and fort (17.73%). Research limitations/implications The study being a “case” is restricted to a particular geographic location hence, the findings of the study cannot be generalized. Further, as the objective of the study is restricted to just to compare the predictive performance of two models, it is felt appropriate to restrict the scope of work by focusing only on “location specific hedonic factors,” as determinants of housing prices. Practical implications The study opens up a new dimension for scholars working in the field of housing prices/valuation. Authors do not rule out the use of traditional statistical techniques such as ordinary least square regression but strongly recommend that it is high time scholars use advanced statistical methods to develop the domain. The application of GRNN, artificial intelligence or other techniques such as auto regressive integrated moving average and vector auto regression modeling helps analyze the data in a much more sophisticated manner and help come up with more robust and conclusive evidence. Originality/value To the best of the author’s knowledge, it is the first case study that compares the predictive performance of the hedonic multivariate regression model with the PNN-based GRNN model for housing prices in India.

A conceptual framework for wisdom-based decision-making process in audit profession

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hoang To Loan Nguyen
Keyword(s):  
Decision Making ◽  
Grounded Theory ◽  
Conceptual Framework ◽  
Research Process ◽  
Decision Making Process ◽  
Ethical Orientation ◽  
Content Type ◽  
External Auditors ◽  
Wise Decision ◽  
Knowledge Assimilation

PurposeWisdom is considered as crucial in decision-making in both management and auditing practice. This research aims to investigate the concept of wisdom in auditing, thereby empirically exploring the determinants of wisdom in audit decision-making and explaining inter-relations among these determinants.Design/methodology/approachThis study employs grounded theory methodology that is based on in-depth interviews with twenty-seven practicing auditors who are audit partners, managers, seniors and assistants of auditing firms. Guided by the grounded theory, data collection and data analyses were conducted simultaneously to look into the new insights of the research phenomenon. The coding process was constantly compared until the research's theoretical saturation is reached after four rounds. At the end of the research process, the study conducted a survey to confirm the proposed framework as well as examine the inter-relationships between the defined determinants.FindingsResults suggest developing a conceptual framework to interpret wisdom-based decision-making process in auditing. A wise process of audit decision-making is defined as an integrated exercise of multiple determinants including knowledge assimilation, judgmental ability and ethical orientation. The research also explains and examines the potential interrelationships among these determinants in the audit decision-making process.Practical implicationsWisdom is a valuable tacit ability for all external auditors. The development of wise decision-making abilities of auditors should be considered an integral part of multiple virtues including knowledge and judgmental and ethical aspects.Originality/valueThe contributions of this study are original and significant because it proposes a new approach to explain for the audit decision-making process and enhances better understandings of the concept of wisdom in auditing practices and its roles in audit decision-making.

Drawing ethical mentation in Islamic banks; addressing operational lines heterogeneity with special reference to Al-Ghazali’s ethical philosophy

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shinaj Valangattil Shamsudheen ◽  
Saiful Azhar Rosly ◽  
Syed Abdul Hamid Aljunid
Keyword(s):  
Decision Making ◽  
Special Reference ◽  
United Arab Emirates ◽  
Partial Least Square ◽  
Islamic Finance ◽  
Islamic Banking ◽  
Islamic Banks ◽  
Content Type ◽  
Ethical Philosophy ◽  
Divine Knowledge

Purpose This study aims to examine the decision-making behaviour of Islamic banking practitioners of the United Arab Emirates with special reference to the operational line heterogeneity by employing factors that are religious in nature such as intellect, satanic force and divine knowledge as encapsulated in al-Ghazali’s ethical philosophy. Design/methodology/approach A total of 337 samples were collected from the Islamic banking practitioners in the United Arab Emirates using a purposive sampling technique, and the empirical analysis was conducted with the measures of model fit and bootstrapping technique using Partial least square Structural equation modelling and multi-group analysis. Findings The empirical findings reveal that the dedicated use of intellect in making decisions related to ethical issues where desires and emotions tend to overwhelm reason and human choices. While divine knowledge is found ineffective guidance of the intellect, the element of satanic force is found significantly impacting decision-making. As the lack of religious consciousness is evident among respondents, higher exposure to operational risk is expected. These findings were found identical across the Islamic banking practitioners in different lines of operations. Research limitations/implications The span of the study is limited to a single country. Future studies are recommended to replicate the study to more markets where the share of Islamic finance is significant. Practical implications Findings of the study highly suggest respective authorities of Islamic financial institutions to intensify the capacity-building programs on the foundation of faith which includes Islamic thought and worldview, to enhance the corporate ethical decision-making. Moreover, equal importance should be given to all the banking practitioners regardless of line of business operations. Originality/value With undue emphasis is given to the juristic (fiqh) aspects of Shariah compliance in the Islamic banking and finance industry, less has been attempted to explore its ethical dimension (akhlaq) in the compliance parameters that leave a relatively large gap to address prevailing unethical practices in Islamic finance institutions. Findings from this study can be useful as a warning to the Islamic banking firms to enhance the sense of God-fearing and improve existing measures in the organisation in mitigating operational risks that may arise from people or system and consequently ensure the smooth governance of the Islamic banks.

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