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The purpose of this paper is to examine the impact of financial support from non-resident family members (FSNRFM) on the financial performance of newer agribusiness firms in India.

Owners of newer agribusiness firms (five years old or less) from India were surveyed regarding the perceived impact of FSNRFM on the financial performance of newer agribusiness firms.

The results show that newer agribusiness firms with FSNRFM perform better than those without FSNRFM; and build higher levels of internal financing sources relative to the newer agribusiness firms without FSNRFM, which, in turn, improves their performance.

This is a co-relational study that investigated the association between FSNRFM and financial performance of newer agribusiness firms. There is not necessarily a causal relationship between the two. The findings of this study may only be generalized to firms similar to those that were included in this research.

The study enriches the literature concerning newer agribusiness firms and the factors that improve their financial performance. The results of this study can be of great significance for owners of these firms, financial managers, farm management consultants, and other stakeholders to understand the impact of FSNRFM on financial performance of newer agribusiness firms.

The purpose of this paper is to investigate the impact of efficient working capital management (WCM) on a firm’s bond quality ratings (BQR) and debt refinancing risk (RFR).

To fulfill its purpose, this study adopted a co-relational research design. Additionally, the COMPUSTAT of Wharton Research Data Services was used to collect data from American production firms for a period of five years (from 2013 to 2017).

The results of this study suggest that efficient WCM does, in fact, play a role in improving BQR of American production firms. Furthermore, the findings go on to suggest that efficient WCM plays a very little role in reducing RFR for American production firms.

This is a correlational study that investigated the presence of an association between efficient WCM and firms’ BQR and between efficient WCM and RFR. However, the two do not necessarily share a causal relationship. Moreover, the findings of this study may only be generalized to firms that are similar to those that were included in this research.

This study contributes to the literature on financial factors that improve a firm’s BQR. Firms should consider maintaining an optimal net working capital as it improves BQR. Moreover, the findings of this study may prove useful for financial managers, investors, financial management consultants and other stakeholders.

The purpose of this paper is to examine the extent to which corporate board characteristics influence the level of dividend pay-out ratio using a sample of UK small- and medium-sized enterprises from 2010 to 2013 listed on the Alternative Investment Market.

The data are analysed by employing multivariate regression techniques, including estimating fixed effects, lagged effects and two-stage least squares regressions.

The results show that board size, the frequency of board meetings, board gender diversity and audit committee size have a significant relationship with the level of dividend pay-out. Audit committee size and board size have a positive association with the level of dividend pay-out, whilst the frequency of board meetings and board gender diversity have a significant negative relationship with the level of dividend pay-out. By contrast, the findings suggest that board independence and CEO role duality do not have any significant effect on the level of dividend pay-out.

This is one of the first attempts at examining the relationship between corporate governance and dividend policy in the UK’s Alternative Investment Market, with the analysis distinctively informed by agency theoretical insights drawn from the outcome and substitution hypotheses.

The purpose of this paper is to examine the moderating effect of corporate governance on the impact of earnings management on dividend policy.

In this paper, the authors selected French non-financial companies listed on the CAC All Tradable index during the 2008–2015 period. Feasible generalized least square regression method is used to estimate the econometric models.

The empirical results allowed the authors to confirm and/or reject certain hypotheses. First, the ownership concentration seems to positively moderate the impact of earnings management on dividend policy. Another conclusion that the authors have been able to draw is that the effect of earnings management on dividend policy is more favorable in the case of firms with a small director’s board.

Our results have shown that French firms run earnings to inform the market that they can distribute dividends. Therefore, we recommend that the various partners of the firm pay more attention to the governance mechanisms of these types of companies and, in particular, in countries where foreign investors suffer from weak legal protection (Easterbrook, 1984; Gomes, 2000; La Porta et al., 2000 and Athari et al., 2016). In fact, standardization bodies, the Ministry of Finance, external auditors and stock exchange organizer must focus on sophisticated governance mechanisms to ensure better quality of financial reporting.

To our knowledge, no other research has examined whether the impact of earnings management on dividend policy varies significantly with the moderating effect of certain governance mechanisms in France.

This study examines the impact of board composition and ownership structure variables on dividend payout policy in Saudi Arabian firms. In particular, it aims to determine the effect of board size, independence and meeting frequency, in addition to chief executive officer (CEO) duality, and state, institutional, managerial, family, and foreign ownership on both the propensity to pay dividends and dividend per share for Saudi-listed firms over the period 2016–2019.

The paper captures dividend policy with two measures, propensity to pay dividends and dividend per share, and employs a range of regression methods (logistic, probit, ordinary least squares (OLS) and random effects regressions) along with a two-stage least squares (2SLS) model for robustness to account for heteroscedasticity, serial correlation and endogeneity issues. The data set is a large panel of 280 Saudi-listed firms over the period 2016 to 2019.

The results underline the importance of board composition and the ownership structure in explaining variations in dividend policy across Saudi firms. More specifically, there is a positive relationship between the propensity to pay dividends and board-meeting frequency, institutional ownership, firm profitability and firm age, while the degree of board independence, firm size and leverage exhibit a negative relation. Further, dividend per share is positively related to board meeting frequency, institutional ownership, foreign ownership, firm profitability and age, while it is negatively related to CEO duality, managerial ownership, and firm leverage. There is no evidence that family ownership exerts an impact on dividend payout policy in Saudi firms. The findings of this study support agency, signalling, substitute and outcome theories of dividend policy.

This study offers an important insight into the board characteristic and ownership structure drivers of dividend policy in the context of an emerging market. Moreover, the study has important implications for firms, managers, investors, policymakers, and regulators in Saudi Arabia.

This paper contributes to the existing literature by providing evidence on four board and five ownership characteristic drivers of dividend policy in Saudi Arabia as an emerging stock market, thereby improving on less comprehensive previous studies. The study recommends that investors consider board composition and ownership structure characteristics of firms as key drivers of dividend policy when making stock investment decisions to inform them about the propensity of investee firms to pay dividends and maintain a given dividend policy.

This paper aims to highlight recent resources on information literacy (IL) and library instruction, 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 and other materials on library instruction and IL published in 2015.

This paper provides information about each source, describes the characteristics of current scholarship and highlights sources that contain either 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 IL.

This study aims to investigate the moderating role of corporate governance (CG) on the relationship between credit risk (CRs) and financial performance (FP) of banks listed in the Palestine Securities’ Exchange (PEX) and Amman Securities’ Exchange (ASE).

This study used a hypothesis-testing research design to collect data from the annual reports of 21 banks listed on (PEX) and (ASE). Secondary data, annual reports and disclosures were used between from 2009 to 2019. Descriptive and inferential statistics were used, along with correlation analysis to evaluate linear relationships between variables. Data was collected based on panel data, the VIF was used to test multicollinearity and binary logistic regression was used to develop the research model.

The regression results showed the association between CR and firm performance depends on the measurement of each factor applied. The results showed mixed results between loans to total assets (LTA) and nonperforming loans to total loans (NPLs) with FP. LTA has a significant and positive effect on TOBINSQ and return on equity (ROE), but an insignificant and positive effect on return on assets (ROA). On the other hand, NPLs have a significant and negative effect on ROA, whereas NPLs have a weak and positive effect on TOBINSQ. However, there is an insignificant and positive effect of NPLs on ROE. Moreover, the results demonstrated that CG moderated the relationship between CRs and FP of banks. The practical contribution of this paper, for bank policymakers and authorities, the study’s implications are noteworthy. Understanding the varied impacts of different CR measures on FP can help regulators and policymakers design more tailored and effective risk management frameworks for banks.

This study had limitations that future research might be able to address. First, the small size of the sample used in the study included 21 banks listed on the PEX and ASE. Likewise, the ASE and PEX are considered developing stock exchanges, so the results of this study may differ from those of other stock exchanges. Second, only CRs were considered in this study when examining the association between the profitability of Palestinian banks and ASE. Other studies can be undertaken on other nonfinancial risks, such as operational risk, to measure the differences between them and examine their effects on the profitability of Palestinian and Jordanian banks. Other studies might be performed to compare CRs and its impact on profitability in Palestinian and Jordanian banks with those in other Western and Eastern banks. Furthermore, in addition to TOBINSQ, ROA and ROE, researchers can use other financial indicators to measure profitability. This will contribute to substantiating the present study’s findings.

Although several studies have examined the relationship between CRs and FP in developed and developing countries, the results have been mixed. However, this study is one of the few studies that examined the moderating role of CG in association with CRs and FP, especially on Palestinian and Jordanian contexts. Finally, the findings offer policymakers and practitioners of Palestinian and Jordanian contexts.

Artificial intelligence (AI) might change the communication profession immensely, but the academic discourse is lacking an investigation of the perspective of practitioners on this. This article addresses this research gap. It offers a literature overview and reports about an empirical study on AI in communications, presenting first insights on how professionals in the field assess the technology.

A quantitative cross-national study among 2,689 European communication practitioners investigated four research questions: RQ1 – How much do professionals know about AI and to what extent are they already using AI technologies in their everyday lives? RQ2 – How do professionals rate the impact of AI on communication management? RQ3 – Which challenges do professionals identify for implementing AI in communication management? RQ4 – Which risks do they perceive?

Communication professionals revealed a limited understanding of AI and expected the technology to impact the profession as a whole more than the way their organisations or themselves work. Lack of individual competencies and organisations struggling with different levels of competency and unclear responsibilities were identified as key challenges and risks.

The results highlight the need for communication managers to educate themselves and their teams about the technology and to identify the implementation of AI as a leadership issue.

The article offers the first cross-national quantitative study on AI in communication management. It presents valuable empirical insights on a trending topic in the discipline, highly relevant for both academics and practitioners.

The purpose of this paper is to investigate which exchange structure, direct or generalized exchange, better promotes community solidarity in online communities (OCs). Furthermore, it examines the moderating effects of activity intensity on the relationship between exchange structure and community solidarity in order to resolve the conflicts in extant literature.

The research model is developed based on the social exchange theory (SET). It also accommodates social structures as determinants of exchange structure, such as organizational identity orientation (OIO) and distributive justice norms. Data in this study were collected from 376 OCs through an e-mail survey.

Generalized exchange has stronger effects on community solidarity than direct exchange. Furthermore, there was a significant difference in the impact on community solidarity between generalized exchange and direct exchange at high-activity intensity levels, whereas no significant differences were found at low-activity intensity conditions. OIO significantly influences exchange structure. Additionally, equality norm significantly influences generalized exchange, whereas need norm significantly influences direct exchange.

In information systems research, there have not been any attempts to identify the determinants of exchange structure in OCs. Furthermore, only a couple of studies have empirically investigated the relationship between exchange structure and OC solidarity, and yet they found conflicting results. This research makes contributions to an enhancement of theoretical precision of the SET in two ways: by empirically examining the determinants of exchange structure, and by introducing a third variable, activity intensity, as a moderator of the relationship between exchange structure and OC solidarity.

Artificial intelligence (AI)-based systems can save the lives of many people by assessing the safety of flight paths. Unfortunately, the world witnessed a horrible event in January 2020 with the case of flight 752 of Ukrainian International Airlines from Tehran to Kiev and it has prompted us to ask how AI can prevent such events by warning to flight path planners. This paper aims to propose a framework for assessing the safety of flight paths from a shooting of an airplane by air defense systems installed on the path. Unlike the existing studies, this study takes a new look at pre-flight risk assessment by using textual information in social and news networks. To this end, the authors use existing information retrieval techniques to identify high flight risk areas by examining the news articles, comments, posts, tweets, etc., in social media and then estimate the probability of targeting a passenger aircraft by the air defense systems probably installed on high-risk areas with the help of a statistical model. This estimation can then be used by fight planners to avoid such events.

To design a framework for estimating the probability of a fatal shooting of an airplane by air defense systems installed on its flight path, the authors have used the idea of information retrieval in conjunction with statistical methods. The authors have extracted some significant variables in the shooting of flights and proposed an AI-based framework to estimate the probability of a fatal shooting of an airplane during its flight and sketched a case study for using machine learning approaches to assist with flight path planning. As a case study, the authors covered flight 752 to explain the usefulness of the proposed framework in this context.

Unlike the existing methods, this study investigates flight path safety assessment from the social media and crowdsourcing perspective. In this study, the authors proposed an AI-based framework to avoid aviation hazards by estimating the probability of a shooting of an airplane by air defense systems installed on its flight path. Moreover, this study was designed to show how estimating the safety of flight paths by using AI-based methods can help flight planners to avoid such events and gain further insights into the use of AI-based systems in pre-flight risk assessment.

The idea behind the proposed method is original and as the authors’ best knowledge, there is no similar framework using social media for flight path safety assessment.