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This study aims to investigate the factors that determine the customer adoption of Islamic banking in Pakistan.

This paper aims to use a sample of 540 Islamic bank customers located in the biggest city of Pakistan (Karachi). This study is based on the diffusion of innovation (DOI) theory and analyzed the role of five attributes (compatibility, relative advantage, complexity, observability and trialability) along with the consumer awareness about the customer adoption of Islamic banking. Additionally, the present research also considers Islamic banking as a new idea (innovation) in Pakistan under the framework of DOI theoretical assumptions. The exploratory and confirmatory factor analyses are applied to the sample data. The theoretical framework is then tested using structural equation modeling.

The findings of the study revealed that all five attributes of the DOI theory are positively and significantly related to the customer adoption of Islamic banking. The customer awareness also proved its importance in the hypothesized model by representing a positive and significant relationship.

The present study provides a useful guideline for the Islamic bank managers and the academicians to better understand the customer adoption of Islamic banking.

This study’s objectives are twofold; first, this paper aims to explore the determinants of perceived benefit and perceived risk of Islamic Fintech. Second, this study examines the influence of perceived benefit, perceived risk and user trust on the intention to adopt Islamic Fintech.

The sample of 350 was distributed among the respondents, while a usable sample of 321 was retained for the analysis. The study performed a self-administration survey to collect the sample data while the hypothesized model was tested using SmartPLS.

The results revealed that perceived benefit and perceived risk were significant and positively influenced by their factors. Moreover, perceived benefits showed a positive and significant impact on trust. However, perceived risk had a negative and significant impact on trust. The results also found a strong positive and significant relationship between trust and intention to adopt Islamic Fintech.

The outcome of this research may be used to develop strategies for Fintech and enables the financial sector to attain economies of scale in the world.

The purpose of this paper is to investigate whether real estate companies manipulate their earnings through the brokerage fee across ownership expropriation or not.

This study considers Kuala Lumpur Stock Exchange listed real estate firms to investigate how the brokerage fee in the real estate industry might affect the earnings management of firms across its ownership expropriation. Using annual report data, the authors investigate the associations over a panel for the period 2008−2012. Robust panel regression is used to divulge the probability values with reference by probit regression.

Overall, the results show that high brokerage fees would drive more events of earnings management and that, generally, the ownership concentration among Malaysian real estate firms significantly affects the earnings management of the firms.

This study shows that firm profitability and brokerage fees enhance the probability of firm’s earnings management. A low brokerage fee would reflect low revenue to the company. Therefore, management would opt to manipulate earnings in order to overstate earnings, which garners more interest from investors.

Real estate values in Malaysia have climbed steadily over the years due to a combination of reasons giving companies a higher brokerage fee. Earnings management has become a big issue for property investors. The study demonstrates the relationship between earnings management and brokerage fee across ownership expropriation which can be considered by shareholders in their own strategic planning and investors in their own investing.

The purpose of this paper is to investigate the connection between ethics and profitability by examining the association between published reports on white-collar crime and the share-price performance of the Malaysian-listed companies. This study aims to examine the role of white-collar crime in Malaysian-listed companies on its stock-price reaction.

Following prior research, even study methodology is used to exploit the stock-price reaction on the white-collar crime announcement. The daily bases of average abnormal returns (AARs) and cumulative average abnormal returns (CAARs) with an event window of 90 days prior to and after the announcements are determined. This study uses public announcement data of white-collar crimes from Malaysian Securities Commission from 1996 to 2013.

The finding indicates that an announcement of a white-collar crime has a negative abnormal return on the share price. As a result, the market does not react efficiently toward the information released regarding the incidence of a white-collar crime.

This study contributes to the managerial decision theory, where managers should be able to see a definite connection between unethical behavior and their firm’s stock. The stockholders and policymakers should find this information important in pressing for greater corporate and managerial accountability.

Unlike prior research, this paper investigates the stock-price performance due to white-collar crime announcement in the Malaysian context by using complete data set of announcement from 1996 to 2013.

The purpose of this paper is to determine the factors influencing customer adoption toward takaful products in Pakistan.

The study used five attributes of diffusion innovation theory (DOI), namely, relative advantage, compatibility, trialability, observability and complexity. Furthermore, the authors introduced two additional constructs, namely, consumer awareness and religiosity to analyze the adoption behavior of customers. A total of 365 questionnaires were distributed among the participants of the study. The survey was conducted in the Karachi city where the respondents were the existing and potential users of takaful products. The theoretical model of DOI theory was tested using structural equation modeling.

The findings report that complexity has a negative impact on the adoption of takaful, whereas relative advantage, compatibility, trialability, observability, religiosity and consumer awareness shows a positive and significant influence.

It is a noteworthy point that past literature is quite limited to investigate the determinants of consumer intentions to adopt takaful products. Based on this argument, the authors build the study to provide a scope and coverage in the field of Islamic insurance. The authors also expect that the research will encourage and provide a venue for forthcoming studies to help policy makers and academicians in this emerging business.

This paper aims to investigate the factors affecting intentions to select Islamic credit cards in Pakistan by using the theory of reasoned action (TRA) model. In general, bank customers are aware of credit card facility, but the leading factors to select Islamic credit cards are particularly unexplored. Due to this fact, the study examined the effect of subjective norm (SN) and attitude (ATT) with the inclusion of new construct, namely, perceived financial cost (PFC) to predict the intention of customers about the Islamic credit card in Pakistan.

Sample data were conveniently drawn from the bank customers with the help of a self-administered survey based questionnaire, which was consisted over five-point Likert scale. The study uses a sample of 492 bank customers located in the biggest city of Pakistan. Out of these responses, only 466 responses were used in the analysis, while the remaining responses were ignored due to missing data and incomplete responses. The data were analyzed through factor and regression analysis.

Findings from regression analysis suggest that SN and ATT show positive and significant impact on intentions to select an Islamic credit card, while PFC has a negative impact on intentions to select Islamic credit cards. Moreover, SN was found to be the most influential factor to predict the selection of Islamic credit card.

This study has some practical implications for the academicians and Islamic bank managers. Through this research, bank managers can educate their customers about Islamic credit and financial products. Not only this, they should develop a strategy for the awareness of Islamic banking products through social networking and other marketing modes. On the other side, this study laid a foundation for future researchers to explore additional predictors of Islamic credit card. Their empirical work will provide a help to benefit and understand customers’ financial knowledge.

Islamic credit facility is entirely new in Pakistan and lacking with empirical support. Therefore, this investigation contributes to the existing body of knowledge by providing a comprehensive explanation on the Islamic credit card service in Pakistan.

This research aims to explain the effect of financial indicators and economic growth on human capital in low-income countries.

We gathered balanced panel data from 1980 to 2016 over a sample of 12 low-income countries categorized by World Development Indicators. The data stationary properties were analyzed by unit root test while the existence of a long-run relationship among the variables was confirmed by cointegration test. We performed Hausman test to differentiate between the fixed effect and random effect model. The sensitivity analysis confirmed the robustness of the results.

Our findings indicated that broad money supply and private sector credit has a positive and significant impact on human capital. Interestingly, bank credit showed a negative and significant effect on human capital. We also found a significant positive relationship between human capital and economic growth in the study sample.

This is a preliminary study using financial development and human capital in low-income countries with panel econometric techniques as an analysis tool. Overall, we suggest a policy to focus on the financial sector development and economic growth to produce sustainable human capital.

This study aims to investigate two primary objectives. First, this study examines the influence of modified service quality dimensions on Islamic bank customer satisfaction using a compliance, reliability, empathy, assurance, tangible, operational efficiency, responsiveness (CREATOR) model. Second, the study explores the relationship between customer satisfaction, trust, loyalty and word of mouth (WOM) in Islamic banking of Pakistan.

The proposed model was analyzed using PLS-SEM-based approach. A total of 312 usable responses were used for data analysis.

The results indicate that all CREATOR dimensions have a significant positive impact on Islamic banks’ customer satisfaction. Similarly, this study also found a significant positive relationship between customer satisfaction, trust, loyalty and WOM. Overall, this study modified a well-established service quality framework by successfully implementing the CREATOR model in Islamic banking.

This study will provide helpful policy guidelines for Islamic bank managers improve their service quality and strengthen their relationships with existing and new customers. The authors are also sure that their proposed model will add value to the ongoing service quality literature by indicating the role of operational effectiveness in increasing customer satisfaction and promoting positive WOM.

This study aims to examine the interconnectedness between investors' perceptions of assets and their behavioral factors with investment decisions during the COVID-19 pandemic in the real estate business in Pakistan. In this regard, this study predicted investment decisions using individuals’ perceptions of the asset (perceived asset quality, perceived asset price and perceived asset value [PAV]),and behavioral biases (overconfidence [OC], herding [HD], disposition effect [DE] and risk aversion [RA]).

This study used a survey-based instrument to gather a total of 189 usable samples. The sample data were analyzed using partial least square structural equation modeling.

The findings of this study indicated that PAV, OC and HD significantly predicted the investment decision, whereas DE and RA had an insignificant impact on investment decisions in the real estate business. In addition, this study found that PAV is the most important factor to predict investment decisions in real estate during the COVID-19 crisis.

The authors are certain that the study findings reinforce policy implications for regulators, policymakers and financial institutions. The study findings are also useful and relevant if the real estate sector experiences a crisis in the future.