Search results

1 – 10 of 30
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 31 October 2008

Emad Mohammad and Siva Nathan

The purpose of this paper is to examine the factors leading to turnover among sell‐side financial analysts and the consequences of turnover.

2172

Abstract

Purpose

The purpose of this paper is to examine the factors leading to turnover among sell‐side financial analysts and the consequences of turnover.

Design/methodology/approach

The paper identifies two types of turnover, voluntary and involuntary, and defines voluntary (involuntary) as when analysts leave their employment at one brokerage firm and find (do not find) employment at another brokerage firm. Logistic models are estimated relating the probability of turnover to factors that explain turnover for both voluntary and involuntary turnover.

Findings

The paper finds that job performance is positively (negatively) related to voluntary (involuntary) turnover. This finding is consistent with Jackofsky's theory predicting U‐shaped relationship between performance and turnover. For voluntary turnover, analysts' performance and job conditions at the new brokerage firm are examined and related to the factors leading to turnover. It was found that turnover analysts move to smaller brokerage firms and become more accurate. They have lighter workload and enjoy more prestige at the new brokerage firm as they follow larger firms and fewer firms and industries.

Originality/value

This is the first study to apply Jackofsky's theory to the financial analysts' profession. Also, it is the first study to document the consequences to voluntary analyst turnover.

Details

Review of Accounting and Finance, vol. 7 no. 4
Type: Research Article
ISSN: 1475-7702

Keywords

Access Restricted. View access options
Book part
Publication date: 10 February 2010

Hassan R. HassabElnaby, Emad Mohammad and Amal A. Said

We examine the earnings management implications of using nonfinancial performance measures (NFPM) in executive compensation contracts. We argue and test that when a manager's…

Abstract

We examine the earnings management implications of using nonfinancial performance measures (NFPM) in executive compensation contracts. We argue and test that when a manager's compensation is based on financial and NFPM, he/she has less incentive to manipulate earnings to maximize compensation. Using panel data covering the period 1992–2005, we compare earnings management behavior for a sample of firms that used both financial and nonfinancial measures to a matched sample of firms that based their performance measurement solely on financial measures. The results are mainly consistent with a reduction in earnings management behavior for those firms that rely on NFPM in their compensation contracts.

Details

Advances in Management Accounting
Type: Book
ISBN: 978-1-84950-755-4

Available. Content available
Book part
Publication date: 10 February 2010

Abstract

Details

Advances in Management Accounting
Type: Book
ISBN: 978-1-84950-755-4

Access Restricted. View access options
Article
Publication date: 10 April 2019

Mohammad Amin Jarrahi, Emad Roshandel, Mehdi Allahbakhshi and Mohammad Ahmadi

This paper aims to achieve an optimal design for distribution transformers considering cost and power losses. Particle swarm optimization (PSO) algorithm is used as an…

102

Abstract

Purpose

This paper aims to achieve an optimal design for distribution transformers considering cost and power losses. Particle swarm optimization (PSO) algorithm is used as an optimization tool for minimizing the objective functions of design procedure which are cost and electrical and iron losses.

Design/methodology/approach

In this paper, distribution transformer losses are considered as operating costs. Also, transformer construction cost which depends on the amount of iron and copper in the structure is assumed as its initial cost. In addition, some other important constraints such as appropriate ranges of transformer efficiency, voltage regulation, temperature rise, no-load current, and winding fill factor are investigated in the design procedure. The PSO algorithm is applied to find optimum amount of needed copper and iron for a typical distribution transformer. Moreover, transformer impedance considered as a constraint to achieve an acceptable voltage regulation in the design process.

Findings

It is shown that the proposed design procedure provides a simple and effective approach to estimate the flux and current densities for minimizing the active part cost and active power losses which means reduction in amount of transformer total owning cost (TOC).

Originality/value

The methodology advances a proposal for reducing distribution transformers costs using PSO algorithm. The approach considers the aforementioned constraints and TOC to minimize the active part cost and maximize the efficiency. It is demonstrated that a designed transformer will not be optimum when the transformer losses over years are not considered in design procedure. Finally, the results prove the effectiveness of the proposed procedure in designing cost-effective distribution transformers from its initial cost until its whole life.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering , vol. 38 no. 2
Type: Research Article
ISSN: 0332-1649

Keywords

Access Restricted. View access options
Article
Publication date: 23 November 2018

Mahmoud Salari, Emad Hasani Malekshah, Mohammad Reza Sarlak, Masoud Hasani Malekshah and Mohammad Pilfoush

The purpose of this paper is to investigate the three-dimensional natural convection and entropy generation in a cuboid enclosure filled with two immiscible fluids of nanofluid…

53

Abstract

Purpose

The purpose of this paper is to investigate the three-dimensional natural convection and entropy generation in a cuboid enclosure filled with two immiscible fluids of nanofluid and air.

Design/methodology/approach

One surface of the enclosure is jagged and another one is smooth. The finite volume approach is applied for computation. There are two partially side heaters. Furthermore, the Navier–Stokes equations and entropy generation formulation are solved in the 3D form.

Findings

The effects of different governing parameters, such as the jagged surface (JR=0, 0.02, 0.04, 0.08, 0.12 and 0.16), Rayleigh number (103Ra⩽106) and solid volume fraction of nanofluid (φ=1, 1.5, 2 vol%), on the fluid flow, temperature field, Nusselt number, volumetric entropy generation and Bejan number are presented, comprehensively. The results indicate that the average Nusselt number increases with the increase in the Rayleigh number and solid volume fraction of nanofluid. Moreover, the flow structure is significantly affected by the jagged surface.

Originality/value

The originality of this work is to analyze the natural-convection fluid flow and heat transfer under the influence of jagged surfaces of electrodes in high-current lead–acid batteries.

Details

Multidiscipline Modeling in Materials and Structures, vol. 15 no. 1
Type: Research Article
ISSN: 1573-6105

Keywords

Access Restricted. View access options
Article
Publication date: 29 March 2022

Emad Kazemzadeh, Mohammad Taher Ahmadi Shadmehri, Taghi Ebrahimi Salari, Narges Salehnia and Alireza Pooya

The purpose of this study is to examine oil price shocks on US shale oil supply and energy security during the period 2000q1–2020q4.

195

Abstract

Purpose

The purpose of this study is to examine oil price shocks on US shale oil supply and energy security during the period 2000q1–2020q4.

Design/methodology/approach

In this study, the Shannon–Wiener index was used to calculate energy security, and then a structural vector autoregression (VAR) was applied to measure the effect of oil price shocks.

Findings

The results of the variance decomposition indicate that oil prices account for about 20% of changes in US shale oil production, while it explains only about 3% of changes in energy security. Finally, historical decomposition confirms the results of impulse response functions.

Originality/value

The novelty of this study is that so far, no study has examined the effect of oil price shock on shale oil production and energy security in the USA using the structural VAR model. This study also used the latest Shannon–Wiener index as a measure of energy security in the USA. The reason for selecting this index is that, in addition to considering the share of the total consumption of each primary energy, the share of energy imports from each country as well as the political risk of energy exporting countries to the USA are also included.

Details

International Journal of Development Issues, vol. 21 no. 2
Type: Research Article
ISSN: 1446-8956

Keywords

Access Restricted. View access options
Article
Publication date: 10 May 2022

Emad Kazemzadeh, Mohammad Taher Ahmadi Shadmehri, Taghi Ebrahimi Salari, Narges Salehnia and Alireza Pooya

The USA is one of the largest oil producers in the world. For this purpose, the authors model and predict the US conventional and unconventional oil production during the period…

230

Abstract

Purpose

The USA is one of the largest oil producers in the world. For this purpose, the authors model and predict the US conventional and unconventional oil production during the period 2000–2030.

Design/methodology/approach

In this research, the system dynamics (SD) model has been used. In this model, economic, technical, geopolitical, learning-by-doing and environmental (social costs of carbon) issues are considered.

Findings

The results of the simulation, after successfully passing the validation test, show that the US unconventional oil production rate under the optimistic scenario (high oil prices) in 2030 is about 12.62 million barrels/day (mb/day), under the medium oil price scenario is about 11.4 mb/day and under the pessimistic scenario (low oil price) is about 10.18 mb/day. The results of US conventional oil production forecasting under these three scenarios (high, medium and low oil prices) show oil production of 4.62, 4.26 and 3.91 mb/day, respectively.

Originality/value

The contribution of this study is important in several respects: First, by modeling SD that technical, economic, proven reserves and technology factors are considered, this paper models US conventional and unconventional oil production separately. In this modeling, nonlinear relationships and feedback loops are presented to better understand the relationships between variables. Second, given the importance of environmental issues, the modeling of social costs of CO2 emissions per barrel of oil is also presented and considered as a part of oil production costs. Third, conventional and unconventional US oil production by 2030 is forecast separately, the results of this study could help policymakers to develop unconventional oil and plan for energy self-sufficiency.

Details

International Journal of Energy Sector Management, vol. 17 no. 2
Type: Research Article
ISSN: 1750-6220

Keywords

Access Restricted. View access options
Article
Publication date: 11 August 2022

Emad Kazemzadeh, Mohammad Taher Ahmadi Shadmehri, Taghi Ebrahimi Salari, Narges Salehnia and Alireza Pooya

One of the most important ways to pay attention to sustainable economic development is to invest in green technology and alter the energy consumption structure (ECS) in countries…

127

Abstract

Purpose

One of the most important ways to pay attention to sustainable economic development is to invest in green technology and alter the energy consumption structure (ECS) in countries. Changing the ECS can be important in two ways: first, it increases the diversity of energy consumption and reduces energy dependence on other countries. Second, the use of highly polluted nonrenewable energy sources (such as oil and coal) is reduced, leading to the transfer of energy to natural gas with less carbon emissions or renewable energy. To this end, the authors examined the asymmetric effects of eco-innovation on the US ECS from 1980 to 2019. This paper aims to address this issue.

Design/methodology/approach

In this research, the nonlinear autoregressive distributed lag (ARDL) (NARDL) model is used and the results are compared with the linear ARDL model.

Findings

The ARDL results also confirm the positive effects of oil prices and GDP per capita in the long run. On the other hand, short-term and long-term Wald test results confirm the nonlinear effects of eco-innovation (LPATENT) on US ECS. These results indicate that 1% positive shock in LPATENTˆ+ increases the ECS by 0.179, while 1% negative fluctuations (LPATENTˆ-) leads to a decrease (−0.085) in the ECS. However, the ARDL results, in general, show the positive effects of LPATENT on the ECS in long run. Evidence suggests that ignoring nonlinear effects can lead to inaccurate results. Policy suggestions for environmental technology innovation are presented in the results.

Originality/value

This research has innovations in various aspects so that the previous studies in this field have examined the effects of environmental innovation on renewable or nonrenewable energy consumption, and so far no study has been done on the ECS. In this research, the Shannon–Wiener index has been used to calculate the ECS.

Details

Management of Environmental Quality: An International Journal, vol. 34 no. 1
Type: Research Article
ISSN: 1477-7835

Keywords

Access Restricted. View access options
Article
Publication date: 2 November 2018

Alireza Rahimi, Abbas Kasaeipoor, Emad Hasani Malekshah, Mohammad Mehdi Rashidi and Abimanyu Purusothaman

This study aims to investigate the three-dimensional natural convection and entropy generation in a cuboid enclosure filled with CuO-water nanofluid.

247

Abstract

Purpose

This study aims to investigate the three-dimensional natural convection and entropy generation in a cuboid enclosure filled with CuO-water nanofluid.

Design/methodology/approach

The lattice Boltzmann method is used to solve the problem numerically. Two different multiple relaxation time (MRT) models are used to solve the problem. The D3Q7–MRT model is used to solve the temperature field, and the D3Q19 is used to solve the fluid flow of natural convection within the enclosure.

Findings

The influences of different Rayleigh numbers (103 < Ra < 106) and solid volume fractions (0 < f < 0.04) on the fluid flow, heat transfer, total entropy generation, local heat transfer irreversibility and local fluid friction irreversibility are presented comprehensively. To predict thermo–physical properties, dynamic viscosity and thermal conductivity, of CuO–water nanofluid, the Koo–Kleinstreuer–Li (KKL) model is applied to consider the effect of Brownian motion on nanofluid properties.

Originality/value

The originality of this work is to analyze the three-dimensional natural convection and entropy generation using a new numerical approach of dual-MRT-based lattice Boltzmann method.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 29 no. 1
Type: Research Article
ISSN: 0961-5539

Keywords

Access Restricted. View access options
Article
Publication date: 8 January 2018

Jamal Mousa Shamieh, Ihab Hanna Sawalha, Amer Z. Salman, Emad K. Al-Karablieh, Mohammad A. Tabieh, Hussain F. Al-Qudah and Osama O. Jaara

The purpose of this paper is twofold: first, to estimate the water demand elasticities using a parametric linear programming (LP) model to provide an insight into the accurate and…

364

Abstract

Purpose

The purpose of this paper is twofold: first, to estimate the water demand elasticities using a parametric linear programming (LP) model to provide an insight into the accurate and flexible pricing policy of irrigation water in the Jordan Valley; and second, to highlight key risk aspects, related to water demand, which are likely to impact the community.

Design/methodology/approach

A parametric LP model was used in this research. Primary and secondary data were collected.

Findings

Results revealed that the demand elasticity is high in Spring and Summer than in Fall and Winter, meaning that during Spring and Summer farmers are willing to forgo larger amounts of water than in other months. This is because of areas planted during Spring seasons are much less than those of Autumn and Winter.

Practical implications

The Jordan Valley suffers from water scarcity risk, and consequently the area to be planted is not fully utilized, leading to lower cropping intensities. Responsible authorities in Jordan need to address these issues and propose proper solutions in order to reduce further escalation of this risk and subsequent impact on local communities. Insight into the value of water demand elasticities is essential to support and mitigate policy decision making under risk conditions, concerning investments in water supply systems; investments in the water distribution and irrigation systems; efficient allocation of water with competing sectors; setting water pricing and tariffs; setting cost recovery mechanisms, and the risks encountered under lack of mitigated policy decision making.

Originality/value

This is one of few studies that addresses in detail using a parametric LP model the issue of water scarcity, related risks and subsequent impact on society in Jordan. It is expected to help policy and decision makers better formulate future estimates and demand which subsequently reduce related risks.

Details

Management of Environmental Quality: An International Journal, vol. 29 no. 1
Type: Research Article
ISSN: 1477-7835

Keywords

1 – 10 of 30
Per page
102050