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This study aims to provide insight into Library and Information Science (LIS) research in India using scientometric approaches. Web of Science (WoS) and SCOPUS databases were used for data retrieval. The study examines productivity in terms of source types, gender distribution, document formats, authorship and other factors. In addition, this study sought to identify trends or patterns in the research preferences of LIS scientists through text analysis.

Data were downloaded from the WoS and Scopus databases over 22 years and analysed using VOSviewer, Orange, Biblioshiny and CRExplorer softwares.

The findings reveal that 5,692 out of the 9,384 documents in both databases underwent the final examination. In total, 466 different sources produced all of those papers. Author analysis revealed that 6,603 different authors authored 5,692 documents. There were 4,209 male and 1,063 female authors. Furthermore, India shares maximum collaborations with the USA and England. The spectrogram features nine significant peaks corresponding to Lotka’s, Bradford’s and similar laws. Text analysis revealed that Indian LIS researchers have consistently investigated open access and digital or open libraries.

The findings of this study will provide readers with a better understanding of India’s contribution to LIS. In addition, the study will help academics identify research gaps and undiscovered areas in the Indian context that require further investigation.

Not many studies highlight Indian research trends and international collaboration in LIS. This study highlights research trends, collaboration and gender productivity in LIS. The most cited references and trending topics were also identified using reference publication year spectroscopy and text analysis techniques.

In the ever-evolving digital landscape, this study aims to explore which specific personality traits contribute to the innovativeness of startups, with a particular emphasis on understanding how technology adoption mediates this relationship. By doing so, the authors strive to unveil the nuanced dynamics of personality, technology adoption and startup innovativeness in the digital era.

The authors conduct a quantitative empirical analysis using a sample of 1,314 German startups. This study utilizes a mediation analysis to examine the effects of personality traits on the innovativeness of startups, taking technology adoption as a mediator into account.

The empirical results show certain personality traits have direct effects on innovativeness. Also, the results show that technology adoption is a driver of startup innovativeness. In addition, these traits are (partially) mediated by technology adoption.

The results shed new light on the interplay of entrepreneurs' personality and technology adoption in relation to startup innovativeness and therefore underline the importance of technology in this triangular relationship. The authors employ secondary data from startups in Germany, which complicates generalization of the results to other geographical and cultural contexts.

This study contributes to the scientific debate on the role of personality traits in entrepreneurship by providing empirical evidence on the mediating effect of technology adoption in the relationship between personality traits and startup innovativeness. The findings offer valuable insights for researchers, entrepreneurs and policymakers interested in understanding and promoting innovativeness in the context of startups.

This study aims to understand the factors influencing university students’ entrepreneurial intentions in a rapidly developing entrepreneurial country.

A cross-sectional survey of 324 Emirati students was conducted. Using a structural equation analysis, the study identified strong associations between positive attitudes, self-efficacy, perceived university and country-level support for entrepreneurship and entrepreneurial intention. However, the relationship between social norms and intention was not direct, but an indirect relationship was found when coupled with self-efficacy and attitudes.

The findings suggest that increasing public awareness and promoting entrepreneurship as a viable career option will significantly impact students’ entrepreneurial intentions in the UAE. Furthermore, providing practical educational and resource opportunities can facilitate the process of starting a business.

This study contributes to entrepreneurship research by providing a unique perspective on the interrelationships among social, government and economic influences in an entrepreneurial context.

The purpose of the this study is to discover the impact of practices of knowledge management, intellectual property protection and management innovation on entrepreneurial leadership, which in turn leads to sustainable growth in small and medium-sized enterprises.

The data was collected from 292 small and medium-sized businesses (SMEs) in the USA using a cross-sectional survey. To evaluate the study hypotheses and analyse the data, structural equation modelling was used. SMART-PLS software was used for both confirmatory factor analysis and structural analysis.

The work has significantly contributed in revealing that knowledge management practices, management innovation and intellectual property protection have a substantial and constructive impact on entrepreneurial leadership, which in turn leads to sustainable growth in SMEs.

The study findings recommend that SMEs must focus on knowledge management practices, intellectual property protection and management innovation to nurture entrepreneurial leadership, which can lead to sustainable growth. SMEs can benefit from investing in knowledge management practices, protecting their intellectual property and innovating their management practices to achieve sustainable growth. Also, the absorptive capacity of an SME can help it to aggravate the impact of the above factors and lead them to sustainable growth faster.

The current work studies the association between knowledge management practices, intellectual property protection, management innovation, entrepreneurial leadership and sustainable growth in SMEs, thus contributing to the literature. The study provides insights into the factors that can nurture entrepreneurial leadership and contribute to sustainable growth in SMEs, which can inform policy and practice in the field of entrepreneurship.

This study aims to get rid of non-degradable polyvinyl chloride (PVC) waste as well as sunflower seed cake (SSC) waste by preparing eco-friendly composites from both in different proportions to reach good mechanical and insulating properties for antimicrobial and antistatic applications.

Eco-friendly composite films based on waste polyvinylchloride (WPVC) and SSC of concentrations (0, 10, 20, 30 and 40 Wt.%) were prepared using solution casting method. Further, the effect of sunflower seed oil (SSO) on the biophysical properties of the prepared composites is also investigated. Fourier transform infrared spectroscopy, X-ray diffraction (XRD), scanning electron microscope, mechanical, thermal, dielectric properties were assessed. Besides, the antimicrobial and biodegradation tests were also studied.

The crystallinity increases by rising SSC concentration as revealed by XRD results. Additionally, the permittivity (ε′) increases by increasing SSC filler and SSO as well. A remarkable increase in dc conductivity was attained after the addition of SSO. While raw WPVC has very low bacterial activity. The composite films are found to be very effective against staphylococcus epidermidis, staphylococcus aureus bacteria and against candida albicans as well. On the other hand, the weight loss of WPVC increases by adding of SSC and SSO, as disclosed by biodegradation studies.

The study aims to reach the optimum method for safe and beneficial disposal of PVC waste as well as SSC for antistatic and antimicrobial application.

This study aims to investigate the relationship between corporate governance characteristics and the financial performance of both Islamic and conventional banks in the context of an emerging market, i.e. Malaysia.

This study includes 300 bank-year observations from Islamic and conventional banks over the period 2010–2021. The dynamic panel model (generalized method of moments [GMM]) was considered the primary estimation model that solves simultaneity, endogeneity and omitted variable problems as most governance variables are endogenous by nature. Hence, static models are considered biased after conducting the DWH test of endogeneity, and considering dynamic panel GMM is valid proven by Sargan and Hensen and first-order (ARI) and second-order (ARII) tests.

Based on the regression results, the authors discovered that board size, female participation in the board and director remuneration have a significant positive impact on bank performance, whereas board meetings have a significant negative impact. Furthermore, the board governance structure of commercial banks is found to be more passive than that of Islamic banks.

The study’s findings added a new dimension to governance research, which could be a valuable source of knowledge for policymakers, investors and regulators looking to improve existing governance mechanisms for better performance of conventional and Islamic banks.

The goal of this study is to add to the existing literature by focusing on the impact of female board participation and other board governance mechanisms in both conventional and Islamic banks on bank performance.

In today’s era, a country’s economy and society are continuously improved by entrepreneurship that utilizes digital technology. The current study, conducted among university students in Pakistan, examines the roles of digital aspects in moving toward digital innovation (DI) and digital entrepreneurship (DE).

The study is based on quantitative and cross-sectional data. A survey questionnaire was used to obtain responses from respondents recruited through the convenience sampling technique.

The results from structural equation modeling (SEM) analysis suggest significant effects of technology orientation (TO), entrepreneurial orientation (EO), and DI on DE. The impact of DI on DE is also significant. On the other hand, digital technology self-efficacy (DTSE) is not found to be a significant predictor of DI and DE. Moreover, DI is found to be a significant mediator, which mediates the relationships of TO and EO with DE. On the contrary, DI did not mediate the significant relationship between DTSE and DE.

The study’s findings would benefit policymakers and planners in developing policies to encourage the usage of digital technologies to provide solutions in entrepreneurship. The findings also support promoting DE to tackle business challenges and achieve organizational and academic goals.

The study emphasizes the roles of digital technology, innovation, and entrepreneurship in a developing context.

This research study aims to examine the effect of the compliance with the Accounting and Auditing Organization for Islamic Financial Institutions (AAOIFI) standards on the performance of Islamic banks.

The sample consists of 628 bank-year observations from eight countries that adopt the AAOIFI standards during the period 2009–2020.

The findings reveal a significant positive relationship between the overall compliance level with AAOIFI standards and the two performance measures in Islamic banks.

The findings are useful for various groups of preparers and users of Islamic banks’ annual reports, such as academics and researchers, accountants, management of Islamic banks and national and international organizations.

This research provides new empirical evidence on the effect of compliance with AAOIFI standards (accounting and governance) on Islamic banks performance. In addition, the findings reveal that the examination of compliance level should not be restricted to an overall compliance index that contains all the AAOIFI standards, but should rather take into consideration the different types of these standards (accounting and governance).

This study aims to explore the possibility of using magnetic biochar composite (MBCC) derived from Heglig tree bark (HTB) powder (agricultural solid waste) and cobalt ferrite (CoFe₂O₄, CFO) for oil spill removal from seawater surface.

One-pot co-precipitation route was used to synthesize MBCC. The prepared materials were characterized by X-ray diffraction, scanning electron microscopy-energy dispersive X-ray spectroscopy, Fourier transform infrared spectroscopy. The densities of the prepared materials were also estimated. Crude, diesel engine and gasoline engine oils were used as seawater pollutant models. The gravimetric oil removal (GOR) method was used for removing oil spills from seawater using MBCC as a sorbent material.

The obtained results revealed that the prepared materials (CFO and MBCC) were able to remove the crude oil and its derivatives from the seawater surface. Besides, when the absorbent amount was 0.01 g, the highest GOR values for crude oil (31.96 ± 1.02 g/g) and diesel engine oil (14.83 ± 0.83 g/g) were obtained using MBCC as an absorbent. For gasoline engine oil, the highest GOR (27.84 ± 0.46 g/g) was attained when CFO was used as an absorbent.

Oil spill removal using MBCC derived from cobalt ferrite and HTB. Using tree bark as biomass (eco-friendly, readily available and low-cost) for magnetic biochar preparation also is a promising method for minimizing agricultural solid wastes (e.g. HTB) and obtaining value-added-products.