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The purpose of this paper is twofold. The first is to explore the convergence of corporate governance (CG) codes of 11 Asian emerging economies with the United Nations (UN) CG guidelines (United Nations Conference on Trade and Development ISAR benchmark). The second is to find the compliance level of firms in each country with the UN CG guidelines.

Based on the 2017 GDP growth rate, the top 11 emerging economies were selected. CG codes of each country were then analyzed by using content analysis to find the convergence level with the UN CG guidelines. To find the compliance level of individual firms in each sample country, a sample of the top 15 non-financial listed firms were selected from each country, and their annual reports were analyzed. The binary scoring method was used.

After analyzing the 11 national CG codes, 1 UN CG guidelines and 150 annual reports, this study found that Pakistan and Philippines CG codes have the highest level of convergence toward the outsider model recommended by UN CG guidelines, whereas China and India have the lowest compliance score. The Indian, Chinese, Malaysian and Indonesian listed firms showed more compliance toward the UN CG guidelines than their respective national CG codes.

By analyzing the top 11 emerging economies, and top 15 listed enterprises in each country, this study offered a combined convergence and compliance evidence at two different levels, i.e. country and firm-level. This study’s findings would be equally helpful for regulators, policymakers and investors in assessing their country’s CG codes against the international recommended best practices.

The purpose of this paper is to explore the contending role of important external inflows on the economic growth of Pakistan economy. The main purpose behind focusing on Pakistan is that it is receiving significant inflows from different international sources such as International Monetary Fund, World Bank and Asian Development Bank.

The study adopted the autoregressive distributed lag cointegration approach for the purpose of exploring the long-run cointegrating relationship among the variables. As Pakistan Government had been implementing some major liberalization policies during 1990s, data from 1976 to 2018 is used to estimate the specified models to reflect the impact of the surge of foreign inflows occurring from that time. In addition, error correction model is estimated for examining the short-run relationships.

The findings revealed the significant role played by different inflows in accelerating the economic growth. According to results, in the long run, all inflows, for example, Foreign direct investment (FDI), debt, official developdment assistance and remittances, have influenced significantly and positively the economic growth. The two control variables such as inflation and employment level included in the model have also played their expected role in the growth process. In the short run, some of the variables such as remittances, FDI and inflation rate have lost their significance level while for debt, aid and employment level, the signs of their coefficients become reversed.

Based on the findings, the study suggests the policymakers of Pakistan economy to liberalize the economy and attract more inflows from the external sources to accelerate economic growth.

To the best of the authors’ knowledge, this is the first comprehensive empirical study on the role of foreign inflows in the process of economic growth in the context of Pakistan economy.

This study aims to estimate the magnitude of capital flight from Pakistan. Furthermore, it analyzes the impact of capital flight on the economic growth of Pakistan in the short and long run.

This study uses the World Bank’s residual method to estimate the magnitude of capital flight from Pakistan during 1976–2018. This study used the autoregressive distributed lag (ARDL) approach to estimate the effect of capital flight on the economic growth of Pakistan.

ARDL results revealed a negative and statistically significant relationship between different measures of capital flight and economic growth in the long run. However, this relationship is not statistically significant in the short run. After correction for external borrowing and trade misinvoicing, this study finds that the total capital flight from Pakistan during the study period amounted to US$333bn (in 2010 dollars). With accrued interest earnings, the stock of capital amounted to US$124,768bn, significantly higher than the accumulated stock of long-term debt, which amounted to US$1,231bn during the study period indicating that Pakistan faces a severe challenge of capital flight.

This study calculates the magnitude of capital flight from Pakistan for the first time. Furthermore, this study also calculates the magnitude of capital flight for military and democratic regimes. This study suggests many policy proposals to deal with the challenge of capital flight.

This study aims to examine the influence of social media usage (SMU) on minimalist consumption and how the fear of missing out (FoMO) underlies this effect.

Four preregistered correlational/experimental studies (n = 1,763) are used. A pilot study (n = 436) examines the correlations between SMU, FoMO and minimalism. Studies 1 (n = 409), 2 (n = 415) and 3 (n = 503) further investigate the influence of SMU on minimalist consumption intentions, including mindful purchase, forgoing free products and decluttering, and test for evidence of mediation via FoMO by measuring or manipulating FoMO.

The results show that a high SMU makes consumers susceptible to FoMO, leading to impulsive purchases and careless product acquisition. However, when campaigners promote minimalism as a social media movement, they can activate FoMO, persuading consumers to practice decluttering.

Future research might examine how subjective age affects FoMO and minimalist consumption tendencies. Could campaigners use young social cues to make older consumers more susceptible to FoMO appeals? Could old social cues cause younger consumers to perceive greater social responsibility and to embrace minimalist consumption?

Minimalist lifestyles can promote sustainable consumption. This research provides insights into how SMU is a double-edged sword – it can cause FoMO users to disdain minimalism. However, it can promote minimalism if a minimalist campaign is strategically positioned as a social media movement using a FoMO-laden appeal.

Extant consumer behavior research on minimalism has just begun to investigate the antecedents of minimalist consumption. FoMO is conceptually related to minimalism, but the relationship between FoMO and minimalist consumption has not yet been empirically tested. This research fills these gaps by examining SMU and the associated FoMO as antecedents of minimalist consumption. Empirical evidence for the impact of SMU on various minimalist consumption behaviors and the mediating role of FoMO is provided.

This paper aims to address the pressing challenges in research data management within institutional repositories, focusing on the escalating volume, heterogeneity and multi-source nature of research data. The aim is to enhance the data services provided by institutional repositories and modernise their role in the research ecosystem.

The authors analyse the evolution of data management architectures through literature review, emphasising the advantages of data lakehouses. Using the design science research methodology, the authors develop an end-to-end data lakehouse architecture tailored to the needs of institutional repositories. This design is refined through interviews with data management professionals, institutional repository administrators and researchers.

The authors present a comprehensive framework for data lakehouse architecture, comprising five fundamental layers: data collection, data storage, data processing, data management and data services. Each layer articulates the implementation steps, delineates the dependencies between them and identifies potential obstacles with corresponding mitigation strategies.

The proposed data lakehouse architecture provides a practical and scalable solution for institutional repositories to manage research data. It offers a range of benefits, including enhanced data management capabilities, expanded data services, improved researcher experience and a modernised institutional repository ecosystem. The paper also identifies and addresses potential implementation obstacles and provides valuable guidance for institutions embarking on the adoption of this architecture. The implementation in a university library showcases how the architecture enhances data sharing among researchers and empowers institutional repository administrators with comprehensive oversight and control of the university’s research data landscape.

This paper enriches the theoretical knowledge and provides a comprehensive research framework and paradigm for scholars in research data management. It details a pioneering application of the data lakehouse architecture in an academic setting, highlighting its practical benefits and adaptability to meet the specific needs of institutional repositories.