Search results

This study aims to investigate the outcomes of customers’ co-creation experience in a realistic and routinely performed co-creation setting, a restaurant. To fulfill this purpose, the current study links the branding literature to hospitality research and offers a novel framework by incorporating customers’ co-creation experience, customer brand engagement, emotional brand attachment and customer satisfaction in an integrated research model.

Data were collected from 421 diners at Chinese hotpot restaurants via a self-administered questionnaire. The reliability and convergent and discriminant validities were established through confirmatory factor analysis, and then hypotheses were tested through structural equation modeling.

This study demonstrates that customers’ co-creation experience with a restaurant brand positively impacts customer brand engagement, emotional brand attachment and customer satisfaction. In addition, current study examines these relational paths at the dimensional level by taking the co-creation experience and customer brand engagement as multidimensional constructs. The resulting in-depth investigation reveals that the hedonic, social and economic experience dimensions of co-creation experience positively influence customer satisfaction, emotional brand attachment and customer brand engagement’s buying, referring, influencing and feedback dimensions.

This study helps relationship and brand managers better understand customer experience in co-creation settings and paves the way for managers to devise engagement strategies.

The current study marks an initial attempt to delineate the outcomes of customers’ co-creation experience in a realistic co-creation setting. Furthermore, the study is first of its kind that investigates the relationship of co-creation experience and customer brand engagement at the dimensional level.

This study aims to investigate the impact of liquidity creation (LC) on the profitability and stability of banks while considering the moderating role of corruption.

Panel data from 23 conventional banks and five Islamic banks in Pakistan spanning from 2008 to 2021 were used for analysis. The study used fixed effect and random effect models, along with the generalized method of moments estimation to ensure robustness of the results.

The study reveals a negative relationship between LC and banking profitability, but a positive association with banking stability. Additionally, corruption is found to play a moderating role in the relationship between LC, profitability and stability in the banking sector of Pakistan.

The findings have practical implications for bank managers and investors, emphasizing the negative relationship between LC and profitability in Pakistan. Moreover, the study highlights the significant impact of corruption on bank performance, which can guide policymakers in formulating strategies to strengthen the banking sector and prevent financial turmoil in the future.

This study makes a significant contribution to the existing literature by examining the moderating role of corruption in the relationship between LC, profitability and stability in both conventional and Islamic banks.

The paper aims to test the effect of liquidity creation on profitability and stability with the moderating role of political instability and its level of implication on the overall banking sector of Pakistan.

This study uses the panel data estimation technique, including fixed- and random-effect model, by taking sample data of 28 banks of Pakistan that are providing their services from 2006 to 2019. Moreover, this study uses the Genreralized Method of Moments (GMM) estimation technique to check the robustness of the results.

The empirical outcomes of this study found a negative relationship of liquidity creation with profitability meanwhile positive relation with banking stability. However, this study shows a negative relation of political instability with liquidity creation, profitability and stability of overall banks of Pakistan.

The findings of this paper recommended the vital role of liquidity creation in the profitability and stability of banks, especially in the decision-making process of the investors and bank managers, and how it is affected strongly in the presence of an unstable political situation. These findings may be helpful for policymakers to devise appropriate policies to maintain a fair field between state authority and financial institutions and also assist in formulating strategies to strengthen the banking sector of Pakistan to avoid financial turmoil in the future.

As per the knowledge of the authors, this study is the first contribution to examine the moderating effect of political instability on liquidity creation, profitability and stability of the overall banking sector of Pakistan.

This paper aims to provide a review of Anti-Money-Laundering (AML) after the latest amendments, i.e. Anti-Money Laundering Act of 2020 in Pakistan.

This paper performs a detailed review of AML and related laws and amendments to record notable changes and improvements in the recent amendments and drew a comparison among these legal amendments.

This paper finds that recent amendments are essential and judiciously crafted to cover the legal clinches, ensuring effective implementation of AML laws and positive expected outcomes for Pakistan.

This paper is unique in the context of the ongoing struggle against money laundering (ML) in Pakistan; covering the legal progress of Pakistan regarding ML, corruption and terrorism financing.

This paper aims to examine the impact of corruption and money laundering (ML) on the profitability and stability of Islamic banks.

This study used the data of 53 conventional and 19 Islamic banks of Pakistan and Malaysia to have comparative insights. The empirical methods include the fixed effect and random effect regression and generalized methods of moment for robust results.

The results indicate that Islamic banks gain from corruption and ML. Corruption and ML affect bank profitability and stability positively in a less corrupt environment, i.e. Malaysia; however, corruption hurts Islamic banks’ performance, and ML favours Islamic banking profitability and stability in a more corrupt environment, i.e. Pakistan.

The present study pioneers the debate on corruption and ML related to Islamic banking profitability and stability. This study provides important insights to regulators and Shariah advisors to build a real model of Islamic banking.

The purpose of this paper is to address the effect of corruption and money laundering (ML) on banking profitability and stability.

This study uses the panel data of 72 banks of Pakistan and Malaysia from 2012–2018. This paper uses fixed effect (FE) and random effect (RE) regression techniques for empirical testing and generalized methods of moment (GMM) technique for robustness tests.

This study founds consistent evidence that corruption has a positive and ML has a negative relationship with the banking profitability of Pakistan and Malaysia while the empirical evidence suggests that corruption and ML have a diverse impact on the banking stability of Pakistan and Malaysia. Further, this paper also founds that corruption and ML moderates the relationship between risk and banking profitability and stability.

The results reveal that the banks of the highly corrupt environment are more affected by corruption and ML than the least corrupt environment. Thus, it is recommended that the Government of Pakistan should formulate strong anti-corruption and anti-money laundering policies.

As per the knowledge of the authors, this research contributes to understanding the role of corruption and money laundering on the stability and profitability of Pakistan and, in general, it is the first attempt investigating the moderating role of corruption and ML between risk and banking profitability and stability.

This paper aims to examine the impact of general elections on the stock returns of the politically connected group affiliated firms of Pakistan.

This study uses the market model to assess the impact of political connections (PCs) on abnormal stock returns, before and after election events. We have used share price data of non-financial firms of Pakistan for the years 2008-2013.

It has been found that behavior of cumulative average abnormal returns (CAAR) is significantly different for standalone and politically connected group affiliated firms. The results reveal that CAARs of politically connected group affiliated firms have experienced less deviation as compared to stand alone firms. Therefore, it is argued that politically connected group firms may reduce the impact of political uncertainty on stock returns in comparison to stand alone firms.

This study is helpful for policy regulators of Pakistan to devise appropriate policies to maintain a level playing field for politically connected and standalone firms.

This study provides a new dimension to understand the role and association of PCs and general elections with stock markets returns.

This study examines the moderating effects of low and high levels of voluntary disclosures (VDs) between corporate governance and information asymmetry (IA).

The study used PROCESS macro to construct bootstrap confidence intervals at the 95% level to estimate the model, and “simple slope analysis” to visualize the model.

The better corporate governance provides a monitoring mechanism that disseminates private information and reduces IA. The effect of corporate governance on IA is contingent on the levels of VDs within a firm, and this relationship is strengthened when the level of VDs within a firm is high, and results remain consistent when levels of sub-indices are high. Additional analysis reveals that effective boards and audit committees reduce IA. Increased inside, an associated company, family and foreign ownership exacerbate IA, whereas institutional owners act as effective monitors to overcome informational disadvantages.

The findings provide implications for policymakers to promote corporate governance and more relevant reporting practices as effective mechanisms for protecting shareholders' rights and attenuating IA in capital markets.

The study is valuable to understand the strength of the relationship between corporate governance and information asymmetries based on the moderating role of different VD levels.

This study aims to assess the determinants of corporate debt with a particular focus on bank-affiliated and non-bank-affiliated firms during the global financial crisis.

The authors analyse the data of 395 listed manufacturing firms from Pakistan with 2,370 firm-year observations. The sample is divided into subsamples, namely bank-affiliated, non-bank-affiliated and stand-alone firms. Fixed and panel effect regression models are applied to determine the during, pre-crisis and post-crisis effects on corporate capital structure.

The robust results of the study reveal that non-bank-affiliated firms have different leverage determinant behaviours with a greater reliance on size, tangibility and profitability. However, bank-affiliated firms seemed to show greater immunity from a crisis compared to other firms. Simultaneously, the stand-alone firms remained at a disadvantage subject to internal financial ties of group-affiliated firms and form a base of market imperfection.

This study's findings imply that financial managers should contain better ties with financial institutions to enhance financial immunity in worse time of financial crisis or COVID-19 global calamity. On the regulation front, these findings call for critical policy regulations to govern the internal ties with financial institutions to create a level playing field for the corporate sector.

To the best of the authors’ knowledge, this study is the first to investigate determinants of corporate debt with a particular focus on bank-affiliated and non-bank-affiliated firms. This work is also novel to explore corporate debt of bank-affiliated and non-bank-affiliated firms during the financial crisis.

The purpose of this paper is to examine the debt structure of group affiliated firms in Pakistan for the period of 2009-2011. The study seeks to know the level of debt specialization in group affiliated firms. If they do; then how are they different from stand-alone firms?

The study primarily uses Herfindahl-Hirschman Index and Excl90 as measures of debt specialization, which are further used in cluster, threshold and conditional analysis. Corporate groups are characterized to subsidize their affiliates through internal debt market and loan guarantee. Logistic regression model is used to analyze association among the measures of debt specialization and firm-specific characteristics for group affiliated and stand-alone firms.

The results show that about 85 percent firms use more than 50 percent of debt from one debt type. However, group affiliated firms are more inclined toward debt specialization than stand-alone firms. Tangibility and book leverage are negatively and significantly associated to the measures of debt specialization. Moreover, internal debt market and loan guarantee are suggestive reasons of debt specialization in group affiliated firms.

This study highlights the issue of group affiliation and its significance on firm’s debt structure. It has implications for determination of the optimal financing strategy. In the context of emerging economies, group affiliated firms can create market imperfections as a protection shield. In case of emerging markets, it is recommended to strengthen regulatory mechanism to avoid such market imperfections.

Prior studies have explored the phenomenon of debt specialization for rated and unrated firms. However, firm group affiliation is widely studied in the context of capital structure. This is a pioneer study to establish and analyze a link between firm group affiliation and debt specialization.