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This paper investigates the probable differential impact of the confirmed cases of COVID-19 on the equities markets of G7 and Nordic countries to ascertain possible interdependencies, diversification and safe haven prospects in the era of the COVID-19 pandemic over the short-, intermediate- and long-term horizons.

The authors apply a unique methodology in a denoised frequency-domain entropy paradigm to the selected equities markets (Li et al. 2020).

The authors’ findings reinforce the operability of the entrenched market dynamics in the COVID-19 pandemic era. The authors divulge that different approaches to fighting the pandemic do not necessarily drive a change in the deep-rooted fundamentals of the equities market, specifically for the studied markets. Except for an extreme case nearing the end (start) of the short-term (intermediate-term) between Iceland and either Denmark or the US equities, there exists no potential for diversification across the studied markets, which could be ascribed to the degree of integration between these markets.

The authors’ findings suggest that politicians should pay closer attention to stock market fluctuations as well as the count of confirmed COVID-19 cases in their respective countries since these could cause changes to market dynamics in the short-term through investor sentiments.

The authors measure the flow of information from COVID-19 to G7 and Nordic equities using the entropy methodology induced by the Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN), which is a data-driven technique. The authors employ a larger sample period as a result of this, which is required to better comprehend the subtleties of investor behaviour within and among economies – G7 and Nordic geographical blocs – which largely employed different approaches to fighting the COVID-19 pandemic. The authors’ focus is on diverging time horizons, and the ICEEMDAN-based entropy would enable us to measure the amount of information conveyed to account for large tails in these nations' equity returns. Furthermore, the authors use a unique type of entropy known as Rényi entropy, which uses suitable weights to discern tailed distributions. The Shannon entropy does not account for the fact that financial assets have fat tails. In a pandemic like COVID-19, these fat tails are very strong, and they must be accounted for.

The purpose of this paper is to investigate the interdependence between economic policy uncertainty (EPU) and business cycles within and among six emerging market economies (EMEs) from January 1999 to December 2018.

This study adopts the wavelet multiple correlations and wavelet multiple cross-correlation (WMCC) based on the maximal overlap discrete transform estimator. This methodology simultaneously investigates how two or more time series variables move together continuously at both time and frequency domains.

The empirical results show that business cycles comove with EPU for both intra- and inter-country analysis, with the long term showing the greatest degree of interdependence. In intra-country comparisons, EPU has a positive correlation with consumer price index and a negative correlation with share price index. According to the WMCC results, EPU does not have any leading or lagging power within each EME, but rather import has both lead and lag power. The inter-country WMCC results are all significant, with Korea’s EPU leading/following all EMEs across all scales.

This study contributes to the ongoing debate about what causes business cycles to comove by investigating business cycle indicators (leader/follower) using a robust wavelet methodology. The authors propose new variables that can clearly reflect the outcome of economic policy actions and translate information about EPU shocks. The inclusion of the variables has altered the understanding of the relationship between EPU and business cycle fluctuations. Policymakers also gain new insights into the trends and patterns of EPU and business cycles, which will help them formulate and implement fiscal and monetary policies more effectively.

This paper aims to contribute to knowledge by investigating the return behaviour of seven global real estate investment trusts (REITs) with respect to the appropriate distributional fit that captures tail and shape characteristics. The study adds to the knowledge of distributional properties of seven global REITs by using the generalised lambda distribution (GLD), which captures fairly well the higher moments of the returns.

This is an empirical study with GLD through three rival methods of fitting tail and shape properties of seven REIT return data from January 2008 to November 2017. A post-Global Financial Crisis (GFC) (from July 2009) period fits from the same methods are juxtaposed for comparison.

The maximum likelihood estimates outperform the methods of moment matching and quantile matching in terms of goodness-of-fit in line with extant literature; for the post-GFC period as against the full-sample period. All three methods fit better in full-sample period than post-GFC period for all seven countries for the Region 4 support dynamics. Further, USA and Singapore possess the strongest and stronger infinite supports for both time regimes.

The REITs markets, however, developed, are of wide varied sizes. This makes comparison less than ideal. This is mitigated by a univariate analysis rather than multivariate one.

This paper is a reminder of the inadequacy of the normal distribution, as well as the mean, variance, skewness and kurtosis measures, in describing distributions of asset returns. Investors and policymakers may look at the location and scale of GLD for decision-making about REITs.

The novelty of this work lies with the data used and the detailed analysis and for the post-GFC sample.

This paper aims to present recently published resources on library instruction and information literacy providing an introductory overview and a selected annotated bibliography of publications covering all library types.

This paper introduces and annotates English-language periodical articles, monographs, dissertations, reports and other materials on library instruction and information literacy published in 2018.

The paper provides a brief description of all 422 sources, and highlights sources that contain unique or significant scholarly contributions.

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

This article presents an annotated bibliography of literature recently published on the topic of library instruction and information literacy in academic, school, public, special, and all types of libraries. Collaboration was a strong theme, especially among academic and school libraries. Other themes discussed in the articles include the globalism of information literacy, assessment, the use of course management systems, and the use and value of online tutorials.

This paper aims to present recently published resources on information literacy and library instruction through an extensive annotated bibliography of publications covering all library types.

This paper annotates English-language periodical articles, monographs, dissertations and other materials on library instruction and information literacy published in 2017 in over 200 journals, magazines, books and other sources.

The paper provides a brief description for all 590 sources.

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

The ethical issues arising at work demand the role of both leader and employees, but how both the levels are linked in determining the ethical responses is an area that has not gained due attention in the past. Against this backdrop, this study aims to address the influence of a leader’s authenticity and ethical voice on ethical culture and the role ethicality of followers.

Survey design has been used, and a questionnaire is used to elicit the responses. In total, 381 filled questionnaires were used for data analysis.

The findings of this study highlight the role of authentic leadership in predicting the role ethicality of followers both directly and through the mediation of ethical culture. Furthermore, a leader’s ethical voice strengthens the authentic leadership and outcome relationships (with ethical culture and followers’ role ethicality). The moderated-mediation mechanism has proved as the leaders’ voice foster the indirect mechanism.

There is a dearth of literature that has focused on leadership traits (authenticity) and behavior (ethical voice) in predicting the followers’ outcomes (perceptions – ethical culture and behaviors – role ethicality). The moderated-mediation mechanism has been unattended in the past.

This paper aims to assess the effect of adaptive selling behavior on customer outcomes, mutual outcomes and salesperson outcomes.

The respondents were salespeople and customers in selected door-to-door cosmetics companies in South Korea. A questionnaire was used to collect the data. Structural equation modeling was used to analyze the data in this study.

Findings show that adaptive selling behavior positively affects customer satisfaction, customer loyalty, sales performance, job satisfaction and relationship quality. These findings suggest that adaptive selling is crucial for the firm's survival depending on the industry and the product. Additionally, unlike previous studies, the authors use salespeople's self-reporting responses and customer-reporting of salespeople, which further enhances the richness and uniqueness of the results.

Studies investigating mutual outcomes of adaptive selling behavior are scarce. The study also emphasizes that adaptive selling behavior enhances salesperson outcomes and customer outcomes and primarily uses dyadic data between door-to-door salespeople and their customers, which is not very common.

This paper examines the antecedents of adaptive selling behavior empirically from the salespeople's, customers', and firms' perspectives.

Survey design was used for this study. Data from 219 salespeople and their visiting customers in selected cosmetics companies in Korea are used to test the conceptual model using structural equation modeling.

Findings show that intrinsic motivation, empathy, and product knowledge are germane to adaptive selling behavior among salesperson-level factors. Similarly, among the customer-level factors, the length of the relationship between salespeople and customers positively affects adaptive selling behavior. Also, while supervisory empowerment among the organizational-level factors significantly predicts adaptive selling behavior, supervisory control has a negative effect on adaptive selling behavior. The study finds that emotional intelligence and customer value demandingness do not significantly affect adaptive selling behavior.

Even though there is extant research on adaptive selling behavior, our research differs from previous research because our research focuses on door-to-door personal selling channels. Furthermore, this study departs from previous research because it uses customer-reporting of the salespeople and salespeople's self-reporting responses.

Drawing on the resource dependence theory (RDT), this paper investigates ownership composition, export intensity, and industry class as moderating factors to investigate the role of imported raw materials in performance of inward foreign direct investment (IFDI) in Ethiopia.

The hypotheses were tested using secondary data obtained from the 2016 Central Statistical Agency (CSA) on Large- and Medium-Scale Manufacturing and Electricity Industries Survey. The data included basic quantitative information on the country's manufacturing industry. The data items for the 2016 manufacturing and electricity industries surveyed are the numbers of proprietors or establishments involved in various sectors. The report did not record small firms that employed fewer than 10 people and did not use power-driven machinery. Two-Stage least squares (2SLS) regression analysis was performed to test the proposed hypotheses.

The results of this study indicate that three moderators (ownership composition, export intensity, and industry classification) interact with the hypothetical relationships between imported raw materials and performance. These findings enrich the knowledge of IFDI firms' operations in Ethiopia and in other least-developed countries (LDCs). The findings could provide information for IFDI firms that are looking to invest in LDCs.

Like all social science research, this study has some limitations. First, the research was conducted with the data found in the Report on Large- and Medium-Scale Manufacturing and Electricity Industries Survey In 2016. This was the first year of the second five-year Growth and Transformation Plan (GTP II), a national development plan for the 2016–2020 period. Continual research on IFDI in Ethiopia in the following years will be needed to get a full picture of the effects of the determinants on IFDIs.

To IFDI investors, the result of this thesis demonstrates several alternatives to overcoming hurdles in manufacturing operation. The results find that J.V. firms make better use of imported raw materials than W.O. subsidiaries in order to achieve better performance. Concerning the choice between focusing on export or domestic markets, the study suggests that domestic market—oriented companies require less imported raw materials to achieve better performance. Concerning the comparative advantage on different industries, this study found the performance of firms in Industry 12 depended on imported raw materials. These findings highlight the challenges and opportunities for potential foreign investors. Ownership composition, market factors, and industry factors should be well considered in making investment decisions.

This is one of few studies on IFDI in Ethiopia, the most populous LDC. Ownership composition, export intensity, and industry class are used as moderating variables to investigate the difference between imported raw materials and the level of expatriate deployment to IFDI performance. For IFDI investors, the results of this study demonstrate several alternatives to overcoming hurdles in manufacturing operation.