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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 adoption of metaverse in manufacturing holds significant benefits, but there are several barriers to its seamless integration. This paper aims to identify such barriers and prioritize them in a manner that allows industrial leaders to strategize for smooth adoption.

In this study, we applied two-stage methods, first the identification and validation of barriers through an empirical study applied to Exploratory Factor Analysis (EFA). A purposive sampling technique and snowball sampling facilitated data collection from these expert sources. Through snowball sampling, additional contacts working in the metaverse field were reached, resulting in 235 possible respondents; the survey yielded 104 completed responses. Thereafter, the best-worst method (BWM) was used to measure and rank the barriers.

The study results show that the two most critical barriers are “Lack of data security and privacy” and “Lack of integration compatibility with existing systems.” Such findings inform industry leaders of specific recommendations for structural changes, training programs, necessary technological investments and collaborative efforts to overcome these barriers.

This work adds significantly to academic discussion by prioritizing barriers towards integrating metaverse technology in manufacturing. In addition, this strategic methodology aids in critical appraisal and ranking of barriers for successful adoption. This study also identifies key barriers but acknowledges that other unexamined factors might be lurking in the background, such as virtual economy, financial risks and cross-border legal issues.

The study’s conclusions cannot be generalized to the other sectors, thus indicating the necessity of carrying out a comparative multi-sector study in the future.

To the best of the authors’ knowledge, the study on systematic prioritization of barriers to adopting metaverse technology in manufacturing is the original contribution of the authors.