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This paper aims to investigate the behaviour determinants towards cash waqf for productive purposes between two different classes of Muslims: the upper-middle class and the lower-middle class.

Under the Theory of Planned Behavior framework, this study modified previous literature to investigate the determinants of two Muslim classes’ behaviour towards cash waqf for productive purposes. A structural equation model was applied to test the hypothesis, and an in-depth interview was conducted to explain the findings further.

The behaviour of participating in cash waqf for productive purposes differs between the two Muslim segments. Upper-middle-class Muslims’ intentions will not necessarily consider subjective norms, even though they will consider religiosity as their deciding factor. Meanwhile, this study found different results on the influence of attitude, religiosity and subjective norms to intention in the lower-middle-income group. Other attributes such as perceived behaviour control, knowledge, trust and perceived benefits show positive and significant effects on the intention for both income classes of Muslims.

The current findings may not accurately reflect ideal conditions due to the low level of waqf literacy and actual participation of Muslims in cash waqf for productive purposes. Researchers can conduct further studies based on other criteria, such as gender, age, education level or area of residence, using experimental or simulation methods to complement the research.

This study’s findings can support policymakers and related waqf stakeholders to set strategies for cash waqf literacy and participation by providing more detailed information about the differences in Muslims characteristics based on the income classes.

This study specifically modifies the behavioural framework to investigate differences in the behaviour of two classes of Muslims towards their participation in cash waqf for productive purposes in Indonesia.

To better understand the characteristics of Indonesian Muslims, this study uses cluster analysis to group upper-middle-class Muslims based on psychographic variables related to participation in cash waqf for productive purposes.

This study used mixed methods to build and analyse the segmentation of upper-middle-class Muslims towards cash waqf and propose scenarios for a cash waqf model based on the findings.

This study identified six clusters for upper-middle-class Muslims related to the participation in cash waqf for productive purposes. All clusters show heterogeneous values of all factors. Although relatively few Muslims perform cash waqf for productive purposes, the high scores for the economic rational, family and community factors indicate great potential for the development of various cash waqf models for investment purposes. The next challenge will lie in reviewing the “one-fits-all strategy” in the development of program, education and socialisation. Based on the findings, this study proposes three scenarios of cash waqf participation: as wakif only (waqf donor), investor only (capital provider) and hybrid participation (waqf donor and capital provider).

The limitation of this study is the location and object of the sample are only Muslims in Indonesia who are categorised as upper-middle class in terms of their monthly income. Based on this study’s findings, other Muslim-majority countries worldwide have the potential to develop a cash waqf model that is integrated with financial instruments and involves the role of Islamic banking and other Islamic commercial institutions in future research development. Researchers can also attempt to include a simulation or experiment method to construct and validate the proposed cash waqf model based on this study’s findings and to explore other factors that have not been addressed.

The findings of this study can contribute as a foundation for the development of a cash waqf model and business-marketing strategy to increase the participation of upper-middle-class Muslims.

The findings of this study will support the acceleration of cash waqf collection for investment initiatives, which in turn will have a broader social and economic impact nationally.

To the best of the authors’ knowledge, this study constitutes the first attempt to specifically investigate upper-middle-class Muslim segmentation toward cash waqf participation for productive purposes. This study’s knowledge is helpful for various stakeholders such as academia, the Islamic banking industry, regulators and the Muslim community about customer segmentation to Islamic banking products and services related to cash waqf.

Investors have done sin stocks exclusion in the portfolio as negative screening of socially responsible investment. The impact of sin stock exclusion has brought different results for an investment portfolio; therefore, the investment manager fully decided on sin stocks investment. This research observes the relationship between sin stock proportion and fund managers’ education background. An investment manager’s educational background influences both financial performance and socially responsible behavior. Equity funds are chosen since they made up most of the Indonesian investment market. Proportion is used as a calculation of investment managers’ characteristics. The fixed effect model is applied in the panel data regression method. The study finds a significant negative relationship between sin stock proportion in asset allocation and investment managers’ education level. The research contributes to the literature on sin stocks in Indonesia concerning investment managers’ education background and among the first that observe all holdings in financial reports.

This chapter shows how to identify the characteristics of borrowers that are part of a credit scoring model. The credit risk scoring model is an important tool for evaluating credit risk associated with customer characteristics that affect defaults. This research was conducted at a financial institution, a subsidiary of a commercial bank in Indonesia, to answer the challenge of determining the feasibility of providing financing quickly and accurately. This model uses a logistic regression method based on customer data with indicators of demographic characteristics, assets, occupations, and financing payments. This study identifies nine variables that meet the goodness of fit criteria, which consist of WOE, IV, and p-value. The nine variables can be used as predictors of default probability: type of work, work experience, net finance value, tenor, car brand, asset price, percentage of down payment (DP), interest, and income. The results of the study form a risk assessment model to identify variables that have a significant effect on the probability of default.

Starting in March 2020, Indonesia had the COVID-19 pandemic. Furthermore, this situation has decreased the utilization of highways due to complying with the government regulation, including work from home and large-scale social restrictions to reduce the spreading the corona virus. There are three highway companies listed on Indonesia Stock Exchange such as CMNP, META, and JSMR. On the other hand, the research about the financial performance and the financial distress prediction in Highways sector, especially in Indonesia is not available during the COVID-19 pandemic. This research is aimed to evaluate the financial distress by the Zmijewski model with two criterions: bankrupt and non-bankrupt zone and the financial performance by state-owned enterprise (SOE) rating with three criterions: healthy, less healthy, and unhealthy condition. The period of research is Q1 2019 – Q1 2020 as the period before the COVID-19 pandemic and Q2 2020 – Q2 2021 as the period during the COVID-19 pandemic. The study concludes that all highway companies was in non-bankrupt zone by the Zmijewski model for both before and during the COVID-19 pandemic. In addition, based on SOE rating on average for the period before the COVID-19 pandemic, CMNP, META, and JSMR achieved rating consecutively BBB, BBB, and BB. Meanwhile, on average, for the period during the COVID-19 pandemic, CMNP, META, and JSMR achieved ratings consecutively BB, BB, and B.

This study aims to determine the contribution of capital expenditure from industries on the employment rate in West Java, Indonesia. Capital expenditure from the private sector is always assumed to positively affect the employment rate because the number of investment realization signifies workforce requirement; however, with rapid technological advancement and changes in the social and business environment, does it still reflect the real situation? The main source of data is taken from the Investment Activity Report or Laporan Kegiatan Penanaman Modal (LKPM), which is a report on the growth of a company’s investment realization and the issues encountered by businesses that are submitted regularly to Badan Koordinasi Penanaman Modal/Kementerian Investasi (Indonesia Investment Coordinating Board/Ministry of Investment) or BKPM. LKPM submission is regulated by BKPM Regulation 7/2018, and the purpose of this study is to observe investment realization growth and foster communication between BKPM and businesses. This study is carried out by evaluating LKPM data from companies in the manufacturing industry that conduct their business in West Java Province and comparing it against the employment rate in West Java Province to find out the effects of investment realization on the employment rate. This study finds that there is an effect of all independent variables on the dependent variable. If the conclusion is drawn, there is an influence between the workforce on the investment amount in 2018.

This study uses an event study approach which is the development of the efficient market hypothesis theory. First, the random walk test was conducted on the Jakarta Composite Index (JCI) to test the efficiency in the weak form. Furthermore, event study analysis was carried out on JCI and nine sectoral indices to determine the impact of COVID-19 related events on price movements. The study found that JCI prices follow a random walk pattern so that the stock market in Indonesia is efficient, at least in a weak form. In the event study testing, only events related to the first confirmed case of COVID-19 and the implementation of large-scale social restriction in Indonesia affected the composite index. From a sectoral point of view, only the event of Jakarta’s call center had no impact on price changes in the sectoral index. Thus, each index had a different effect throughout the event. The reaction seen from the movement of prices for the composite and sectoral index to the public information explains that the condition of the Indonesian capital market is efficient, at least in semi-strong form.

Capital structure is vital to every company because it has a huge impact on the company’s financial decisions. The ultimate goal of the company is to effectively mix the debt-to-equity ratio (DER) to maximize the shareholder value. When the Covid-19 pandemic was officially announced in early March 2020, widespread negative effects started to affect almost all industries in Indonesia. The hotel, restaurant, and tourism industry is considered to be one of the most severely affected industry categories. It is important to pay attention to the role of this industry in Indonesia’s overall economy as it contributes to Indonesia’s gross domestic product at 6.1% in 2019. The objective of this study was to address the effects on the formation of capital structure of firm-specific characteristics among a sample of 26 active hotels, restaurants, and tourism companies listed on the Indonesia Stock Exchange. The authors used the data from the second and third quarters of 2019 to represent the period before the pandemic. Meanwhile, the period during the pandemic is represented by the data from the second and third quarters of 2020. Using the random-effects model to test the hypotheses, the authors found that asset tangibility, tax shield, and earnings volatility had significant positive correlations with book leverage. Furthermore, tax shield and earnings volatility had significantly positive relationships with DER. The authors also detected that size and earnings volatility had significant negative correlations with net equity. However, the authors found no significant relationship between capital structure and the pandemic dummy. It was inferred from the results that the pandemic had no effect on capital structure within the research period.