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Attempts to highlight the important areas involved in the organization of non‐print resources. Areas covered include arrangement by subject content and format. Highlights the advantages of conventional classification schemes such as Library of Congress (LC) and Dewey Decimal Classification (DDC) in arranging non‐print resources by subject content. They facilitate an integrated approach and are not difficult to understand where they are already in use. Close classification is preferred in order to derive the full benefits of conventional schemes. Home‐made schemes are confusing since they are completely new schemes or adulterations of existing ones. Compares and contrasts the practice in two university libraries in Nigeria.

This study aims to construct models to classify independent smallholder farmers’ (ISFs) plantation suitability and its competitiveness index. It proposes the models with the objective to accommodate ISFs as the main source of raw material for the palm oil industry. It was predicted that the supply of oil palm fresh fruit bunch would depend on ISFs’ plantations due to the government policy that restricts the expansion of the plantations.

The study was designed using a geographic information system approach and analytical hierarchy process for mapping the suitability of smallholder farmers’ oil palm plantation in the Kampar Regency. The competitiveness index was measured using a modified Diamond Porter framework and competitiveness index quantification. The model was conducted on 177 respondents from five districts in Kampar Regency.

The results indicated that it mapped 128,936.759 hectares area of ISFs’ oil palm plantation in the Kampar Regency. The results of plantation suitability showed that only 13.88% of plantations owned by ISFs were potential, 71.21% of them were in the developing category and 14.91% of plantations were non-potential. The competitiveness index showed there were only 7.91% of them at the developed competitive position, 73.45% at developing a competitive position and 18.64% at the least-developed position.

The paper includes implications for developing ISFs’ capacity building and best practice management for oil palm optimization, resulting in bargaining positions and social well-being.

The study had succeeded to visualize ISFs’ plantation area suitability and competitiveness at Kampar Regency, Riau Province. The model provides a brisk understanding and valuable information about ISFs’ conditions spatially. It offers specific outcomes and becomes important in optimize and develop the existing plantations at the right time and exact location.

In this paper, we studied the steady flow of a radiative magnetohydrodynamics viscoelastic fluid over an exponentially stretching sheet. This present work incorporated the effects of Soret, Dufour, thermal radiation and chemical reaction.

An appropriate semi-analytical technique called homotopy analysis method (HAM) was used to solve the resulting nonlinear dimensionless boundary value problem, and the method was validated numerically using a finite difference scheme implemented on Maple software.

It was observed that apart from excellence agreement with the results in literature, the results obtained gave further insights into the behaviour of the system.

The purpose of this research is to investigate heat and mass transfer profiles of a MHD viscoelastic fluid flow over an exponentially stretching sheet in the influence of chemical reaction, thermal radiation and cross-diffusion which are hitherto neglected in previous studies.

This paper aims to provide an introductory overview and selected annotated bibliography of recent resources on library instruction and information literacy across all library types.

It introduces and annotates English-language periodical articles, monographs, dissertations and other materials on library instruction and information literacy published in 2014.

It provides information about each source, discusses the characteristics of current scholarship and highlights sources that contain unique or significant scholarly contributions.

The information may be used by librarians and interested parties as a quick reference to literature on library instruction and information literacy.

The purpose of this paper is to examine the linkage between Islamic financing principles and economic growth (EG) by taking into consideration two Islamic Financing Principles: Risk Sharing and non-risk sharing separately.

The data for this study are obtained from the annual reports of all Islamic banks from Bangladesh using Bank scope database and annual report for the period 1984-2014. The research uses an Autoregressive Distributive Lags (ARDL) approach. For robustness, this study also employs a continuous wavelet transform approach.

The empirical findings reveal that the risk sharing instruments are positively related to the EG of the country. On the other hand, non-risk sharing instruments are negatively related to the EG of the country.

The dominant use of non-risk sharing-based financing has undermined the greater possibility of Islamic banking to contribute more to the EG of the country. Banks and other financial institutions need to pay greater attention to systemic risk created by risk transfer and apply risk sharing methods of financing more vigorously to achieve greater equity, efficient allocation of resources, stability and growth of the financial system and welfare of the society as a whole.

This study has advanced the knowledge by examining the issue of Islamic financing principles and EG. This is probably one of the first attempts to find the linkage between Islamic financing principles and EG by taking into consideration two portfolios: risk sharing and non-risk sharing separately and provide significant insights for policy makers, market players and academicians.

The issues of ineffective accountability have affected the performance of banks, which led the Nigerian government to introduce various reforms and policies. However, despite these attempts, the Nigerian banking sector experiences setbacks due to mismanagement of funds, fraudulent activities and lack of proper accountability, which negatively affects employment and income.

The dynamic least square was employed to investigate the selected indicators of Nigerian banks’ accountability, income and employment. Likewise, the study examined the causal effect using the Granger non-causality approach.

In the income equation, the total amount of fraud, deposit, total bank asset has a negative relationship with the income, while loan advance and operating expense depicted a positive relationship. In the employment equation, demand deposit, operating cost and bank total asset practices negatively affect employment. In contrast, loan advances and saving deposits have a positive relationship with employment in the long run.

Based on the findings, this study suggests, among others, the need for long-term systematic policies and reforms to improve the level of accountability in the Nigerian banking sector.

To the best of our knowledge, empirical studies examining the nexus between employment and accountability in the banking sector remain scarce in the literature. Therefore, this study examines the causality and long-run relationship between accountability and employment in Nigerian Banks.

This paper presents recently published resources on library instruction and information literacy, providing an introductory overview and a selected annotated bibliography of publications covering various library types, study populations and research contexts.

This paper introduces and annotates English-language periodical articles, monographs, dissertations, reports and other materials on library instruction and information literacy published in 2020.

The paper provides a brief description of all 440 sources and highlights sources that contain unique or significant scholarly contributions.

The information may be used by librarians, researchers and anyone interested in a quick and comprehensive reference to literature on library instruction and information literacy.

Recent evidences show that terrorism is becoming frequent in Nigeria, ranging from incessant Boko Haram activities in the North East; Independent People of Biafra (IPOB) activities in the South-East states, kidnapping and vandalizing oil pipes in the South-South, Fulani-herdsmen attacks in the Middle Belt, among others. In an attempt to tackle terrorism, the Federal Government at different times adopted military actions with little or no lasting solution. The Have and Have-nots hypothesis (Shahbaz, 2013) stresses the role of economic phenomenon in determining the causes of terrorism. It is on this note that this chapter investigates the linkages between economic growth proxy by gross domestic product per capita (GDPPC) and other fundamental variables such as inflation, unemployment, and inequality gaps, among others; and terrorism in Nigeria. We intend to know whether cointegration exists between the two constructs; and if it does, is there causality? The study employed both the autoregressive distributed lag (ARDL) and the vector error correction model (VECM) approaches to examine the existence of or otherwise a long-run relationship as well as causality among the constructs. Results reveal that a compelling cointegrating relationship exists among the variables. It is further revealed that unemployment, inequality, poverty, inflation, among others, Granger cause terrorism. It stresses that the Have-not hypothesis explained the causes of terrorism in Nigeria. The study therefore suggests that policy makers should, in order to prevent or combat terrorism, focus on improving the economy by creating job opportunities through provision of conducive environment that supports businesses and reduces inequality gaps.

This study aims to examine the ability of clean energy stocks to provide cover for investors against market risks related to climate change and disturbances in the oil market.

The study adopts the feasible quasi generalized least squares technique to estimate a predictive model based on Westerlund and Narayan’s (2015) approach to evaluating the hedging effectiveness of clean energy stocks. The out-of-sample forecast evaluations of the oil risk-based and climate risk-based clean energy predictive models are explored using Clark and West’s model (2007) and a modified Diebold & Mariano forecast evaluation test for nested and non-nested models, respectively.

The study finds ample evidence that clean energy stocks may hedge against oil market risks. This result is robust to alternative measures of oil risk and holds when applied to data from the COVID-19 pandemic. In contrast, the hedging effectiveness of clean energy against climate risks is limited to 4 of the 6 clean energy indices and restricted to climate risk measured with climate policy uncertainty.

The study contributes to the literature by providing extensive analysis of hedging effectiveness of several clean energy indices (global, the United States (US), Europe and Asia) and sectoral clean energy indices (solar and wind) against oil market and climate risks using various measures of oil risk (WTI (West Texas intermediate) and Brent volatility) and climate risk (climate policy uncertainty and energy and environmental regulation) as predictors. It also conducts forecast evaluations of the clean energy predictive models for nested and non-nested models.