Investigating the Relationship between Asymmetric Information and Dividend Policy in Iranian Industrial Companies

2013 ◽  
Author(s):  
Seyedhossein Naslmosavi ◽  
Mohammadghorban Mehri ◽  
Mohammed Sangiru Umar ◽  
Danjuma Shehu Ibrahim
Keyword(s):  
Asymmetric Information ◽  
Dividend Policy ◽  
Industrial Companies ◽  
The Relationship

scholarly journals Investigating the Relationship between Asymmetric Information and Dividend Policy in Iranian Industrial Companies

2013 ◽  
Vol 5 (3) ◽  
pp. 300-305
Author(s):  
Seyedhossein Naslmosavi ◽  
Mohammadghorban Mehri ◽  
Mohammed Sangiru Umar ◽  
Ibrahim Danjuma
Keyword(s):  
Asymmetric Information ◽  
Dividend Policy ◽  
Industrial Companies ◽  
The Relationship

scholarly journals Dividend Policy under Asymmetric Information

1985 ◽  
Vol 40 (4) ◽  
pp. 1031-1051 ◽  
Author(s):  
MERTON H. MILLER ◽  
KEVIN ROCK
Keyword(s):  
Asymmetric Information ◽  
Dividend Policy

scholarly journals The Relationship between Accounting Information Systems and Making Investment Decisions in the Industrial Companies Listed in the Saudi Stock Market

2017 ◽  
Vol 10 (6) ◽  
pp. 199 ◽  
Author(s):  
Qasim Alawaqleh ◽  
Mahmoud Al-Sohaimat
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Investment Decision ◽  
Accounting Information ◽  
Kingdom Of Saudi Arabia ◽  
Policy Makers ◽  
Accounting Information Systems ◽  
Industrial Companies ◽  
Investment Decision Making ◽  
The Relationship

The study aimed to measure the relationship between the investment decision-making in the industrial companies listed in the Saudi Stock Market with the (IVs) characteristics of the accounting information systems (appropriateness and reliability, comparability and understanding), and renovation and maintenance of the hardware and software. The problem in the Kingdom of Saudi Arabia is that the government depends on oil revenues more than on attracting investments, therefore, the importance of this study is constituted by the provision of critical recommendations to policy makers in the Kingdom of Saudi Arabia in order to overcome this issue and improve the investments. In order to achieve the objectives of this study, questionnaires were administered to 194 people representing the study population; a multiple regression (standard regression) was also used to test the study hypotheses. In general, all variables were positively significantly related with the investment decision-making.The findings of this study also showed that the independent variables explained more than 65% of the variance in investment decision-making. The Saudi government and policy makers should issue new regulations to increase the interest in accounting information systems in order to attract the investment. In relation to the practical and theoretical contribution, this study used new variables in the new model, such as renovation and maintenance of the hardware and software. Furthermore, practical contribution will help policy makers and the Saudi government to advance in this area and implement new policies for investors in order to protect the economy and the society stability due to the war in Yemen and Syria.

scholarly journals Profiles of human capital and strategic technological decisions on turbulence environment

2019 ◽  
Vol 7 (1) ◽  
pp. 39
Author(s):  
D. Pérez ◽  
L. Saiz-Bárcena ◽  
M.A. Manzanedo ◽  
A. Pérez
Keyword(s):  
Human Capital ◽  
Business Strategies ◽  
Strategic Decisions ◽  
Organizational Contexts ◽  
Industrial Companies ◽  
Technology Industry ◽  
Development Unit ◽  
Principal Finding ◽  
The Relationship ◽  
Decision Efficiency

<p>The objective of this article is to examine the absorptive capacity in the technology industry and aspires to recognize how firms can manage their strategic decisions in the turbulence contexts. In particular, we examine how organizations can strengthen their organizational contexts in order to absorb knowledge. From the knowledge management literature, this investigation extends our perception of the relationship between the human capital profiles (organization, research and development unit, and recent incorporations) and technological decision-making. Through the SEPI Foundation, a balanced panel of 1,220 Spanish industrial companies has used that answer to the Survey of Business Strategies (SBS) for a threeyear period, which signifies a total of 3,660 cases. The principal finding is the presence of high levels of human resources to understand a decision efficiency process. It also highlights its relationship to the firm’s technological committee. These contributions are notable for both researchers and practitioners. It could be stimulating to expand the study to the association between human capital profiles and other strategic technological decisions, as the preparation of an innovation plan or the measurement of innovation performance.</p>

scholarly journals The ability of cash flows to predict the earning: Evidence from Jordan

2021 ◽  
Vol 18 (4) ◽  
pp. 36-44
Author(s):  
Mohammad Fawzi Shubita
Keyword(s):  
Stock Exchange ◽  
Predictive Ability ◽  
Cash Flows ◽  
Operating Cycle ◽  
Prediction Ability ◽  
Future Earnings ◽  
Industrial Companies ◽  
Amman Stock Exchange ◽  
Great Support ◽  
The Relationship

This study aims to investigate the ability of cash flows components to predict the earning and to know the extent of the relationship between accounting profits and cash flow measures. The study sample consisted of 77 industrial companies listed on the Amman Stock Exchange in Jordan for the period from 2006 to 2019. This study relied on the regression method to test the relationship between the study variables. The study findings showed that the cash flows from operating, investing, and financial activities have a statistically significant impact on predicting future earnings. The study also examined the effect of length of operating cycle and company’s size on the predictive ability of cash flows regarding future earnings. The main results for this aspect are that large companies and short operating cycle companies have higher prediction ability for future earnings than small and long operating cycle companies. This paper provides evidence of the information content of cash flows for future earnings in emerging markets like Jordan and is important for Jordanian shareholders by enabling them to evaluate company’s performance. AcknowledgmentsI would like to thank Amman Arab University for its great support, and for funding this study.

scholarly journals The Indirect Impact of Profitability on Firm Value: Evidence Dividend Policy as Moderators and Capital Structure as Mediator

2020 ◽  
Vol 10 ◽  
pp. 299-311
Author(s):  
Achmad Budi Susetyo ◽  
Agus Eko Sujianto ◽  
Mochamad Arif Faizin ◽  
Kiki Yunita Anjarsari ◽  
Charina Dwi Rivylina Nafisah
Keyword(s):  
Capital Structure ◽  
Capital Market ◽  
Indirect Effect ◽  
Firm Value ◽  
Dividend Policy ◽  
The Other ◽  
Indirect Impact ◽  
Path Analysis Approach ◽  
The Relationship ◽  
The Capital Structure

Firm value is a basis for investors in deciding whether or not to invest in a firm. Therefore, a study on issuer’s strategies to maximize firm value requires special attention, especially in dealing with the Islamic capital market which is growing rapidly from time to time. A particular study is important to be conducted to look at the factors that have a direct or indirect effect on a firm's value, which includes; profitability, capital structure, and dividend policy. The path analysis approach is employed in the current study to reveal the effect of profitability on firm value, both directly and indirectly, with the intermediaries of capital structure and dividend policy. The results of the analysis indicate that profitability has a direct positive and significant effect on firm value and a negative and significant effect on capital structure, while the capital structure has a negative and insignificant effect on firm value. Indirectly, dividend policy moderates and strengthens the effect of profitability on firm value, but on the other hand, the capital structure does not mediate the effect of profitability on firm value. The absence of capital structure role in mediating the relationship between profitability and the firm value indicates that investors can determine the value of the firm directly by simply looking at the level of profitability, regardless of management’s strategy in arranging the capital structure.

Adapting Altman's model to predict the performance of the Palestinian industrial sector

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bahaa Awwad ◽  
Bahaa Razia
Keyword(s):  
Stock Exchange ◽  
Statistical Significance ◽  
Multiple Linear Regression Model ◽  
Industrial Sector ◽  
Main Hypothesis ◽  
Content Type ◽  
Independent Variables ◽  
Industrial Companies ◽  
And Performance ◽  
The Relationship

PurposeThis study aims to adopt the Altman model in order to predict the performance of industrial companies listed on the Palestinian Stock Exchange during the period of time between 2013 and 2017.Design/methodology/approachThe study sample consisted of 12 industrial companies listed on the Palestine Stock Exchange, and their financial disclosure period extended for 5 years. Multiple linear regression model was used in the analysis to determine the relationship between the independent variables and the dependent variable where the independent variables were (X1, X2, X3). This study is based on one basic assumption, which is that the Altman's model cannot predict the performance of the Palestinian industrial sector.FindingsThe results of the analysis proved the negation of the zero main hypothesis. This means that Altman's model can predict the performance of the Palestinian industrial sector at the level of statistical significance (a = 0.05), as well as the existence of a statistically significant relationship between each of the independent variables (X2, X4, X5) and the dependent variable (Log (Z-score)). Hence, the relationship of X1 and X3 with the dependent variable was not statistically significant.Social implicationsThis paper highlights different challenges that face the adaption of Atman's model and performance prediction in the Palestinian industrial sector. The findings of the analysis have the potential to help future researchers in examining and dealing with new challenges.Originality/valueThis paper presents a vital review of adopting Altman's model in the Palestinian industrial sector. A number of recommendations have been made, the most important of which is that most of the companies are located in the red zone. The Altman's model must be adapted in order to fit the Palestinian environment according to the results of statistical analysis and according to a proposed model, which is Log (Z) = −0.653 + 0.72X2 + 0.18X4 + 0.585X5.

scholarly journals Marketing Innovations in Industry 4.0 and Their Impacts on Current Enterprises

2019 ◽  
Vol 9 (18) ◽  
pp. 3685 ◽  
Author(s):  
Otakar Ungerman ◽  
Jaroslava Dědková
Keyword(s):  
Correlation Analysis ◽  
Industry 4.0 ◽  
Marketing Mix ◽  
Descriptive Statistics ◽  
Statistical Hypothesis ◽  
Primary Research ◽  
Strategic Objectives ◽  
Industrial Enterprises ◽  
Industrial Companies ◽  
The Relationship

This paper discussed the marketing innovations associated with Industry 4.0 and the effects that these innovative approaches cause. The main aim of the research was to discover the relationship between marketing innovations and their effects. Knowledge of this relationship can be used for the strategic planning of industrial companies in practice. The research methodology consisted of pilot research followed by primary research in industrial enterprises. The data were evaluated by descriptive statistics, statistical hypothesis, and correlation analysis. Through the research, the authors identified the importance of 17 innovative marketing tools and the strength of the use of 11 effects resulting from the implementation of these tools. The authors identified the relationships between tools and their implications in Industry 4.0 where a correlation was demonstrated. A list of 11 strategic objectives was created and, subsequently, a specific marketing mix proposal for each objective consisting of innovative marketing tools was as well. The results of this work enable enterprises involved in Industry 4.0 to better plan.

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