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This study aims to examine research visualization trends in research data management (RDM), analyzing factors such as contributions, publications, document types, authors and research areas, emphasizing the dynamic nature of RDM research in the scholarly landscape.

The study analyzed citation histories for 1,401 publications from 2001 to 2021 in the Web of Science database, extracting no restrictions on document type or language. Literature visualization tools such as Biblioshiny, VOSviewer, ScientoPy and MS Excel were used. The researchers explored institutional collaborations, data-centric trends and RDM frontiers.

The majority of RDM research is conducted by librarians and information scientists. Research on RDM has increased over the past 21 years, peaking in 2019. Among universities, Sheffield and Pittsburgh have the most productivity in RDM research, and the USA is the most productive country. Most productive authors are Aleixandre-Benavent-R and Da Silva Jr. RDM; however, improvement is still needed, especially at academic universities.

This study provides valuable insights into the published literature on RDM and identifies patterns of collaboration among researchers in RDM.

The study aims to identify the prospects and challenges associated with current practices regarding digital data sets management in university libraries in Pakistan.

A cross-sectional survey approach was used to collect the data from library and information science (LIS) professionals working in public sector university libraries in Pakistan. A four-part questionnaire was used to collect the data from the respondents. The collected data from 371 participants were analyzed using a statistical package for social sciences (SPSS-24 version) and analysis of moment structure (AMOS-24).

LIS professionals are better placed to support digital data management practices, such as finding, collecting, assessing and analyzing digital data sets and making digital data publicly discoverable and accessible via open access. In spite of this, a lack of leadership support, interest and cooperation among university departments and the absence of a data management plan, policies and procedures were reported as significant challenges.

To meet the needs of data users, LIS professionals must become knowledgeable about managing and reusing digital data sets. Due to the demands of the information society, university librarians need to learn about data-centric practices that can enhance research outputs and provide new insights.

This research paper is extracted from a PhD dissertation to present a contemporary picture of library data management services and the challenges LIS professionals face to provide possible solutions.

This paper aims to examine the role of corporate governance (CG) in the earnings management (EM) of affiliated companies in family business groups (FBGs) listed on the Pakistan Stock Exchange (PSX), using principal–principal agency theory.

The sample of 327 nonfinancial firms of the PSX, consisting of 187 group-affiliated firms and 140 nonaffiliated firms has been used in this study for the period of 2010 to 2019. The study uses different regression models for analysis, with robustness tests of various alternative measures of EM and FBG affiliation. In addition, endogeneity is controlled with the propensity score matching method.

The findings show that EM is less prevalent in affiliated firms compared to nonaffiliated companies. The results show a negative and significant relationship between FBGs affiliated firms and EM. Moreover, the results also show a positive relationship between EM and the interaction term of the CG index and group affiliation. It refers to the fact that effective governance cannot reduce EM in affiliated companies of FBGs as well as in the nonfinancial companies of the PSX. In addition, the quality of CG is higher in affiliated companies compared to its counterpart in nonaffiliated firms. The findings support the principal–principal agency theory that CG cannot mitigate the expropriating behavior of controlling shareholders against minority shareholders by reducing EM in emerging markets due to the ownership concentration phenomenon.

This research study has implications for small investors, government agencies and regulators. The findings of the study show that CG code should make it mandatory for companies to reveal information about their complex ownership structure and ownership information about affiliated companies and directors. Furthermore, it is suggested to revisit the code of CG in the Pakistani context of principal–principal conflict instead of the agent–principal explanation of agency theory based on Anglo–Saxon countries.

This research study has contributed to the CG and FBG literature in relation to EM in idiosyncratic settings of Pakistan. One of the prime contributions of the paper is the development of a comprehensive CG index. This research study used detailed, manually collected novel data on affiliated firms of FBGs in Pakistan.

The paper examines how individuals can be susceptible to payment biases in the context of digital payment behavior by utilizing the concept of mental accounting. Furthermore, the paper investigates the moderating effects of Digital Financial Literacy (DFL) on the relationship between payment methods and spending behavior.

The study employs a survey-based approach to collect data from 503 individuals who use digital payment methods, utilizing purposive sampling from Pakistan. The collected data is analyzed using Smart-PLS 4 software to assess the direct impact of payment methods on spending behavior and the moderating influence of DFL.

The research findings demonstrate that both digital and cash payments significantly affect spending behavior. However, digital payments have a more substantial impact on spending behavior compared to cash payments. The findings also show that DFL significantly positively moderates individual spending. The study validates the mental accounting perspective by evaluating the direct impact of payment methods on consumers' spending behavior.

The findings have practical implications for policymakers, financial institutions, and educators. Policymakers can leverage the insights to design effective strategies that promote responsible spending behavior and enhance the adoption of digital payment methods. Financial institutions can design user-friendly platforms that cater to users' spending preferences, while educators can develop programs to enhance Digital Financial Literacy (DFL) among the public.

This study’s social implications lie in its potential to contribute to individuals' financial well-being by promoting responsible spending through digital payment methods. Enhanced financial literacy and informed spending decisions can lead to better financial management and ultimately contribute to societal financial stability.

The study enriches the understanding of mental accounting, shedding light on how overspending behavior can manifest through digital payment channels. In addition, this research practically provides valuable insights into enhancing the adoption and financial literacy of digital payments among the public.