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1 – 3 of 3Mehreen Azam and Khurshid Ahmad
This paper aims to measure the adoption of big data analytics (BDA) to achieve sustainability in services being offered in university libraries in Pakistan.
Abstract
Purpose
This paper aims to measure the adoption of big data analytics (BDA) to achieve sustainability in services being offered in university libraries in Pakistan.
Design/methodology/approach
The study applied a unified theory of acceptance and use of technology (UTAUT) as a framework and used quantitative data collection and analysis method. In total, 246 university library professionals were surveyed using a questionnaire consisting of UTAUT factors. The gathered data were analyzed using partial least structural equation modeling (PLS-SEM).
Findings
The results showed that performance expectancy (PE), effort expectancy (EE) and social influence (SI) significantly impacted the behavioral intention (BI) to adopt BDA. Facilitating conditions (FCs) have a statistically significant influence on the adoption of big data in libraries, while BDA has a statistical influence on the sustainability of library services (SLS).
Practical implications
BDA assists libraries in making better decisions about demand-driven collection creation, library space management, usage tracking, and quality maintenance in routine and repetitive library tasks such as cataloging, indexing, archiving, administration, preservation and representation. BDA supports libraries in making more cost-effective, innovative, user-oriented services, resource transferring, social identity, resource utilization, healthier user experience, strategic planning, informed decision-making and state-of-the-art infrastructure.
Originality/value
The foundation of this study is based on information gathered from various sources and university libraries in Punjab to better understand the challenges associated with using BDA for the SLS in Pakistan.
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Keywords
Lakshmana Padhan and Savita Bhat
The study examines the presence of the pollution haven or pollution halo hypothesis in Brazil, Russia, India, China and South Africa (BRICS) and Next-11 economies. Hence, it…
Abstract
Purpose
The study examines the presence of the pollution haven or pollution halo hypothesis in Brazil, Russia, India, China and South Africa (BRICS) and Next-11 economies. Hence, it empirically tests the direct impact of foreign direct investment (FDI) on the ecological footprint. Further, it explores the moderating role of green innovation on the nexus between FDI and ecological footprint.
Design/methodology/approach
The study uses the Driscoll–Kraay (DK) standard error panel regression technique to examine the long-run elasticities amongst the variables for the group of emerging countries, BRICS and Next-11, during the period of 1992 to 2018. Further, statistical robustness is demonstrated using the fully modified ordinary least squares technique.
Findings
The empirical finding shows that FDI degrades environmental quality by raising the ecological footprint. Thus, it proves that FDI is a source of pollution haven in BRICS and Next-11 countries. However, green innovation negatively moderates the relationship between FDI and ecological footprint. That means the joint impact of green innovation, and FDI proves the presence of the pollution halo hypothesis. Further, renewable energy consumption is reducing the ecological footprint, but economic growth and industrialisation are worsening the environmental quality.
Practical implications
This study offers policy implications for governments and policymakers to promote environmental sustainability by improving green innovation and allowing FDI that encourages clean and advanced technology.
Originality/value
No prior studies examine the moderating role of green innovation on the relationship between FDI and ecological footprint in the context of emerging countries.
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Amer Sohail, Zohaib Butt, Affaf Asghar Butt and Aamer Shahzad
This study examines the effect of business group affiliations on corporate cash holdings and how political connectedness modifies the relationship between business group…
Abstract
Purpose
This study examines the effect of business group affiliations on corporate cash holdings and how political connectedness modifies the relationship between business group affiliations and corporate cash holdings.
Design/methodology/approach
The multiple ordinary least square regression with year dummies is used to estimate the effect of business groups on cash holdings. For moderating, the multiplicative term is used. The data from 252 non-financial firms listed on Pakistan Stock Exchange were collected for the analysis from 2010 to 2018.
Findings
The findings show that business group affiliations negatively affect corporate cash holdings, and political connection positively moderates this relationship. Business group firms that are politically connected hold less cash. The firm-specific factors such as leverage, size, cash flow, and dividend dummy also significantly affect corporate cash holdings.
Practical implications
The results imply that affiliated companies have lessened financing frictions and improved stability in their expected future cash flows. Moreover, the results indicate that political connection minimizes the opportunity and agency costs linked to cash holdings.
Originality/value
This study contributes to the existing literature by examining the moderating role of political affiliations on the relationship between business groups and cash holdings in the emerging market.
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