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1 – 10 of over 2000
Article
Publication date: 7 August 2023

Irfan Syauqi Beik, Laily Dwi Arsyianti and Novita Permatasari

Digital technology has been widely applied in zakat collection. Millennials, who are now dominating the productive phase and at their peak carrier path, are the potential target…

Abstract

Purpose

Digital technology has been widely applied in zakat collection. Millennials, who are now dominating the productive phase and at their peak carrier path, are the potential target for zakat collection as their number reached 31.3% of the Indonesian population. On the other hand, public and private zakat institutions have attempted to optimize the country’s zakat potential, reaching 233.6tn rupiahs, through development of a digital platform for zakat collection. However, the gap between the actual collection of zakat with its potential is still large. This study aims to analyse the factors affecting millennials in paying zakat through direct payment or through digital platform of private or public zakat institutions.

Design/methodology/approach

Multinomial logistic regression method, which signifies the contribution of this study, is used to analyse factors influencing millennials in their zakat payment. In addition, cross-tabulation is used to classify the characteristics of respondents. Respondents are selected conveniently through a digital questionnaire distributed in February–March 2021. Respondents are also selected purposively based on their experience in paying zakat through direct, private or public zakat institutions, which are consisted of 50 respondents per each category; thus, the total becomes 150 respondents.

Findings

Based on the results, three variables, namely, education, accessibility and age, are found to have a significant influence on zakat payment through online platforms provided by private zakat institutions. Meanwhile, variables that influence zakat payment through online platforms provided by public zakat institutions are education, accessibility and income. This study also finds that millennials have the highest probability to select online platforms provided by private zakat institutions as a channel of their zakat payment. However, the overall result shows that millennials tend to pay directly to the mustahik (zakat recipients) rather than via online platforms, presumably because of their limited zakat literacy.

Research limitations/implications

The purposive sampling technique used to determine the research samples limits the generalization of the study.

Practical implications

This paper establishes a new approach in analysing millennials preference in their zakat payment with digital inclusiveness. The use of a multinomial logistic approach, which has not been widely applied in such research, strengthens the analysis that is relevant to the need of both private and public zakat institutions to analyse determinants of millennials in paying their zakat through online platform. This study can be used as a reference to formulate a more effective marketing strategy for zakat collection. This paper also serves as an estimate of the preference with some selected typical characteristics of millennials by using a multinomial logistic approach.

Social implications

Formal payment through the zakat institution theoretically is more preferable than direct payment to mustahik (zakat recipients) in the zakat campaign. However, based on this research, despite digital marketing and platforms having been well-used by both private and public zakat institutions, the millennials still prefer direct zakat payment than through online platforms. The findings of this research suggest the importance of strengthening zakat literacy through a more effective digital marketing strategy of zakat institutions which target the millennials.

Originality/value

This study fills the gap in the literature on how millennials choose their zakat payment method, whether through digital platforms developed by private and public zakat institutions or directly to the targeted zakat recipients. The use of multinomial logistic regression approach adds the novelty of this research.

Details

Journal of Islamic Marketing, vol. 15 no. 2
Type: Research Article
ISSN: 1759-0833

Keywords

Article
Publication date: 22 December 2023

Asish Saha, Lim Hock-Eam and Siew Goh Yeok

The authors analyse the determinants of loan defaults in micro, small and medium enterprises (MSME) loans in India from the survival duration perspective to draw inferences that…

Abstract

Purpose

The authors analyse the determinants of loan defaults in micro, small and medium enterprises (MSME) loans in India from the survival duration perspective to draw inferences that have implications for lenders and policymakers.

Design/methodology/approach

The authors use the Kaplan–Meier survivor function and the Cox Proportional Hazard model to analyse 4.29 lakhs MSME loan account data originated by a large bank having a national presence from 1st January 2016 to 31st December 2020.

Findings

The estimated Kaplan–Meier survival function by various categories of loan and socio-demographic characteristics reflects heterogeneity and identifies the trigger points for actions. The authors identify the key identified default drivers. The authors find that the subsidy amount is more effective at the lower level and its effectiveness diminishes significantly beyond an optimum level. The simulated values show that the effects of rising interest rates on survival rates vary across industries and types of loans.

Practical implications

The identified points of inflection in the default dynamics would help banks to initiate actions to prevent loan defaults. The default drivers identified would foster more nuanced lending decisions. The study estimation of the survival rate based on the simulated values of interest rate and subsidy provides insight for policymakers.

Originality/value

This study is the first to investigate default drivers in MSME loans in India using micro-data. The study findings will act as signposts for the planners to guide the direction of the interest rate to be charged by banks in MSME loans, interest subvention and tailoring subsidy levels to foster sustainable growth.

Details

International Journal of Emerging Markets, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-8809

Keywords

Article
Publication date: 5 April 2022

Mauro Vivaldini

This study discusses the influence of logistical immediacy on logistics service providers' (LSPs’) business. Specifically, its role in the face of the emerging business scenario…

1005

Abstract

Purpose

This study discusses the influence of logistical immediacy on logistics service providers' (LSPs’) business. Specifically, its role in the face of the emerging business scenario (e-commerce, disruptive technologies, and new models of logistical services) is examined.

Design/methodology/approach

As logistical immediacy is a nascent topic, this study utilizes a systematic literature review focusing on academic articles from the last five years related to logistical outsourcing to understand the changes imposed by logistical immediacy on LSPs.

Findings

The impact of transformations arising from an increasingly digital virtual world (DVW) on LSPs is contextualized. A theoretical view of the factors affecting LSPs' shift towards more immediate operations is presented, and how logistical immediacy impacts LSPs is discussed. Finally, a research agenda is presented as the study's main contribution.

Research limitations/implications

Due to the timeframe chosen, the restriction to a single database (Scopus), the specific search terms used related to LSPs, and limiting the search parameters to operations management, some relevant work may have been overlooked.

Practical implications

The article help LSPs' and contracting companies' managers to understand the influence of the immediacy expected in logistics operations. Possible logistics services trends and how they may impact companies are discussed.

Originality/value

This is one of the first articles in the area of operations and supply chains that addresses the issue of logistical immediacy and its impact on LSPs.

Details

Benchmarking: An International Journal, vol. 30 no. 3
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 29 February 2024

Mala Ali Modu, Maimunah Sapri and Zafirah Ab Muin

The provision of facilities management (FM) services, facilitated by a well-suited sourcing strategy, significantly influences the optimization of dwelling unit performance…

Abstract

Purpose

The provision of facilities management (FM) services, facilitated by a well-suited sourcing strategy, significantly influences the optimization of dwelling unit performance, augmentation of occupants’ living experiences and the establishment of a secure and comfortable environment. Consequently, this study aims to examine the sourcing approach used for delivering FM services in social housing within Nigeria’s semi-arid climate and to assess the effectiveness of the chosen sourcing approach in the provision of FM services.

Design/methodology/approach

Data collection involved one-on-one interviews conducted with five principal/senior staff members of the Borno State Housing Corporation in Maiduguri, Northern Nigeria. For data analysis, the NVivo R1 software package and Stata 13.0 were used. Thematic analysis was applied to the data, and the findings were presented through narrations and direct quotes from participants. Logistic regression analysis was subsequently used to assess the effectiveness of the adopted in-house approach in providing FM services in the context of social housing.

Findings

Administrators of social housing in the semi-arid climate of Nigeria exclusively adopted an in-house sourcing approach for providing FM services. Nevertheless, the in-house approach was conclusively determined to be ineffective in delivering FM services within the specific context of social housing in the semi-arid climate of Nigeria.

Originality/value

This investigation centred on examining the sourcing strategy used by social housing administrators for delivering FM services in social housing within a semi-arid climate of Nigeria. Additionally, the study delved into evaluating the efficacy of the chosen sourcing approach in the actual provision of FM services.

Details

Facilities , vol. 42 no. 5/6
Type: Research Article
ISSN: 0263-2772

Keywords

Content available
Article
Publication date: 30 May 2023

Benjamin Leiby and Darryl Ahner

This paper aims to examine how the regional variable in country conflict modeling affects forecast accuracy and identifies a methodology to further improve the predictions.

Abstract

Purpose

This paper aims to examine how the regional variable in country conflict modeling affects forecast accuracy and identifies a methodology to further improve the predictions.

Design/methodology/approach

This paper uses statistical learning methods to both evaluate the quantity of data for clustering countries along with quantifying accuracy according to the number of clusters used.

Findings

This study demonstrates that increasing the number of clusters for modeling improves the ability to predict conflict as long as the models are robust.

Originality/value

This study investigates the quantity of clusters used in conflict modeling, while previous research assumes a specific quantity before modeling.

Details

Journal of Defense Analytics and Logistics, vol. 7 no. 1
Type: Research Article
ISSN: 2399-6439

Keywords

Article
Publication date: 25 September 2023

Laetitia Tosi and Justine Marty

This study aims to propose an analytical tool based on the activities–resources–actors (ARA) model to understand the coordination mechanisms in humanitarian action. The tool…

Abstract

Purpose

This study aims to propose an analytical tool based on the activities–resources–actors (ARA) model to understand the coordination mechanisms in humanitarian action. The tool identifies the phases of humanitarian action and analyzes the underlying mechanisms that facilitate coordination among organizations.

Design/methodology/approach

This study uses a literature review to develop analytical grids and theoretical propositions based on the ARA model.

Findings

The ARA model is a useful tool for understanding coordination mechanisms in humanitarian action. The study identifies key elements of interaction systems and characterizes the phases of humanitarian action. Effective coordination among organizations is essential for successful aid delivery. The study provides four theoretical propositions.

Research limitations/implications

Future research could validate the propositions formulated in this study through case studies.

Practical implications

The analytical grids proposed in this study can be used by humanitarian organizations to improve their coordination mechanisms and aid delivery processes.

Social implications

Effective humanitarian action can help alleviate the suffering of individuals affected by crises and contribute to the overall well-being of communities. The analytical tool proposed in this study can improve the effectiveness of humanitarian action and ultimately benefit society.

Originality/value

This paper presents an original approach by leveraging the ARA model to develop an analytical tool for humanitarian action, which is useful for both practitioners and researchers. In addition, the paper attempts to overcome the siloed vision of humanitarian action by highlighting “emergency-development” aspect.

Details

International Journal of Development Issues, vol. 23 no. 1
Type: Research Article
ISSN: 1446-8956

Keywords

Article
Publication date: 20 December 2023

Muhammad Sholihin, Catur Sugiyanto and Akhmad Akbar Susamto

This research aims to examine the impact of religiosity and other control variables on Muslims’ environmental preservation and economic growth choices in 33 nations.

Abstract

Purpose

This research aims to examine the impact of religiosity and other control variables on Muslims’ environmental preservation and economic growth choices in 33 nations.

Design/methodology/approach

The study uses data from the World Values Survey (Waves 4–7) with a large sample size of 30,242 individuals. Logistic regression analysis is used to analyze the data, and the robustness principle is applied using the marginal effect of interaction variables method to select a viable model.

Findings

This study reveals that different aspects of religiosity – cognitive, affective and behavioral – positively impact the tendency of Muslims in 33 countries to prioritize environmental protection over economic progress. However, these influences vary significantly, as seen through odds ratios. In essence, the degree of religious devotion in these nations affects individuals’ leaning toward environmental preservation. This impact is further shaped by other factors such as politics, governance, economic development, environmental measures and legal frameworks.

Practical implications

The practical implication of this study is the development of an alternative theory that explains the conditions and categories under which religious beliefs and attitudes can influence the preferences of Muslims concerning environmental issues and economic growth.

Originality/value

This study fills a void in the body of literature by examining the nonlinear relationship between religiosity and individual Muslim preferences for environmental preservation and economic growth. It offers a framework for comprehending religion’s impact on Muslims’ redistributive individual preferences in these fields.

Details

International Journal of Energy Sector Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-6220

Keywords

Article
Publication date: 16 October 2023

Maedeh Gholamazad, Jafar Pourmahmoud, Alireza Atashi, Mehdi Farhoudi and Reza Deljavan Anvari

A stroke is a serious, life-threatening condition that occurs when the blood supply to a part of the brain is cut off. The earlier a stroke is treated, the less damage is likely…

Abstract

Purpose

A stroke is a serious, life-threatening condition that occurs when the blood supply to a part of the brain is cut off. The earlier a stroke is treated, the less damage is likely to occur. One of the methods that can lead to faster treatment is timely and accurate prediction and diagnosis. This paper aims to compare the binary integer programming-data envelopment analysis (BIP-DEA) model and the logistic regression (LR) model for diagnosing and predicting the occurrence of stroke in Iran.

Design/methodology/approach

In this study, two algorithms of the BIP-DEA and LR methods were introduced and key risk factors leading to stroke were extracted.

Findings

The study population consisted of 2,100 samples (patients) divided into six subsamples of different sizes. The classification table of each algorithm showed that the BIP-DEA model had more reliable results than the LR for the small data size. After running each algorithm, the BIP-DEA and LR algorithms identified eight and five factors as more effective risk factors and causes of stroke, respectively. Finally, predictive models using the important risk factors were proposed.

Originality/value

The main objective of this study is to provide the integrated BIP-DEA algorithm as a fast, easy and suitable tool for evaluation and prediction. In fact, the BIP-DEA algorithm can be used as an alternative tool to the LR model when the sample size is small. These algorithms can be used in various fields, including the health-care industry, to predict and prevent various diseases before the patient’s condition becomes more dangerous.

Details

Journal of Modelling in Management, vol. 19 no. 2
Type: Research Article
ISSN: 1746-5664

Keywords

Article
Publication date: 15 February 2024

Anmari Viljamaa, Sanna Joensuu-Salo and Elina Varamäki

The purpose is to examine the relationship between entrepreneurs’ exit strategies and modes of entry. The topic of exit strategies in the context of approaching retirement…

Abstract

Purpose

The purpose is to examine the relationship between entrepreneurs’ exit strategies and modes of entry. The topic of exit strategies in the context of approaching retirement warrants further attention.

Design/methodology/approach

We apply logistic regression to analyse 1,192 responses to an online survey of firms with entrepreneurs aged over 55.

Findings

Family successors are more likely to choose family succession and buyers to choose to sell, but the association between founding and exit mode cannot be confirmed. Firm size is also significant. Our findings suggest that entry and exit via a business transfer are linked. Entrepreneurs might be influenced by their form of entry when choosing their exit strategy.

Research limitations/implications

The data were collected from a single European country, limiting generalisation. Future research should incorporate intervening variables not controlled for here, such as, entrepreneurial experience. Future studies should also seek to test the existence of imprinting directly, as it is implied rather than verified here.

Practical implications

If the entry mode has a lasting effect on the entrepreneur as our results suggest, thus influencing the exit strategy selected, entrepreneurs could benefit from greater awareness of the imprinting mechanism. Increasing awareness of imprinted biases could unlock the benefits of exit strategies previously overlooked.

Originality/value

The study is the first to consider sale, family succession and liquidation as exit strategies in relation to the original entry mode of ageing owners. It contributes to the understanding of exit strategies of ageing entrepreneurs and proposes using entrepreneurial learning and imprinting as lenses to clarify the phenomenon.

Details

Journal of Small Business and Enterprise Development, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1462-6004

Keywords

Article
Publication date: 1 July 2022

Jingkuang Liu, Yuqing Li, Ying Li, Chen Zibo, Xiaotong Lian and Yingyi Zhang

The purpose of this study is to discuss the principles and factors that influence the site selection of emergency medical facilities for public health emergencies. This paper…

377

Abstract

Purpose

The purpose of this study is to discuss the principles and factors that influence the site selection of emergency medical facilities for public health emergencies. This paper discusses the selection of the best facilities from the available facilities, proposes the capacity of new facilities, presents a logistic regression model and establishes a site selection model for emergency medical facilities for public health emergencies in megacities.

Design/methodology/approach

Using Guangzhou City as the research object, seven alternative facility points and the points' capacities were preset. Nine demand points were determined, and two facility locations were selected using genetic algorithms (GAs) in MATLAB for programing simulation and operational analysis.

Findings

Comparing the results of the improved GA, the results show that the improved model has fewer evolutionary generations and a faster operation speed, and that the model outperforms the traditional P-center model. The GA provides a theoretical foundation for determining the construction location of emergency medical facilities in megacities in the event of a public health emergency.

Research limitations/implications

First, in this case study, there is no scientific assessment of the establishment of the capacity of the facility point, but that is a subjective method based on the assumption of the capacity of the surrounding existing hospitals. Second, because this is a theoretical analysis, the model developed in this study does not consider the actual driving speed and driving distance, but the speed of the unified average driving distance and the driving distance to take the average of multiple distances.

Practical implications

The results show that the method increases the selection space of decision-makers, provides them with stable technical support, helps them quickly determine the location of emergency medical facilities to respond to disaster relief work and provides better action plans for decision makers.

Social implications

The results show that the algorithm performs well, which verifies the applicability of this model. When the solution results of the improved GA are compared, the results show that the improved model has fewer evolutionary generations, faster operation speed and better model than the intermediate model GA. This model can more successfully find the optimal location decision scheme, making that more suitable for the location problem of megacities in the case of public health emergencies.

Originality/value

The research findings provide a theoretical and decision-making basis for the location of government emergency medical facilities, as well as guidance for enterprises constructing emergency medical facilities.

Details

Engineering, Construction and Architectural Management, vol. 30 no. 8
Type: Research Article
ISSN: 0969-9988

Keywords

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