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As an increasing number of business organizations around the world are engaged in the value relevance of accounting information, this study aims to assess the field of the accounting value relevance of book value and earnings in share prices of banks and financial institutions listed in the Tunisian stock exchange.

Using a sample of available banks and financial institutions listed in the Tunisian Stock Exchange from 2010 to 2015, this paper accommodates the documented accounting information in an emergent market context by using stock price of three months after year-end as a dependent variable. This study uses the panel regression technique on 24 banks and financial institutions during the study period.

The authors find that earnings and book value are statistically significantly associated with firm value. Also, using these variables together is positively related to the firm stock price share. Comparatively, these obtain evidence that book value is statistically more value-relevant than earning per share models; expectedly, the earnings explain a higher proportion of the stock price for the group of financial institutions than the group of banks.

A Web-based search is performed during the second quarter of 2016, locating the corporate websites of the sample firms, and the official site of the Datastream (worldscope) is identified. The sample period is 2010-2015 (144 firm-year observations).

This research paper aims to identify and measure the contribution of the financial safety act (FSA) regulation in improving the level of financial disclosure of listed Tunisian firms. To answer the problems of the subject, the authors tried to hold accountable several determinants of the level of financial disclosure relating to the particular characteristics of the firm, and the adoption of the recommendations envisaged by the FSA, as likely to have an impact on the level of financial disclosure of Tunisian firms.

With a sample composed by 20 companies during the period from 2003 to 2010 (160 observations), the contribution of the FSA regulation in improving the level of financial disclosure of listed Tunisian firms was identified and measured. After that, the levels of financial disclosure before and after the FSA were compared.

The study results confirm the positive and significant effect of the FSA on the level of financial disclosure. This impact seems to appear through the improvement of the disclosure level during the years which follow the adoption of the new regulation. The results of this study also show that firms with a high level of financial disclosure are those which have an independent board of directors, auditor BIG and joint audit.

This paper is devoted to evaluate the impact of the FSA n°2005-96 and corporate governance on the level of financial disclosure. The empirical study relates to a sample of 20 firms listed on the Tunis Stock Exchange observed over the period 2003-2010.

An increasing number of business organizations around the world are engaged in the accounting reporting on non-financial performance aspects, mainly within the field of environmental responsibility. The purpose of this paper is to assess the association between environmental disclosure and environmental performance and examine the financial attributes of companies using a composite disclosure index to investigate the status of the environmental disclosure practices of the top 40 companies operating in France.

The sample used in this study consists of the 40 largest companies operating in France (index CAC 40).

The findings of the study show that environmental disclosure is positively associated to environmental performance. Financial attributes, such as firm size, the need for capital, profitability and capital spending, are positively associated with environmental disclosure quality. Equally, a high quality of environmental disclosure will reflect the effectiveness of corporate governance and would tend to face fewer difficulties in accessing capital markets. The authors found that firms revealed on healthcare and gas oil business sector disclose more environmental information than other industries.

A web-based search was performed during the fourth quarter of 2014, locating the corporate websites of the sample firms. The sample period is 2011-2013 (108 firm-year observations).

Attitude determination and control subsystem (ADCS) is a vital part of earth observation satellites (EO-Satellites) that governs the satellite’s rotational motion and pointing. In designing such a complicated sub-system, many parameters including mission, system and performance requirements (PRs), as well as system design parameters (DPs), should be considered. Design cycles which prolong the time-duration and consequently increase the cost of the design process are due to the dependence of these parameters to each other. This paper aims to describe a rapid-sizing method based on the design for performance strategy, which could minimize the design cycles imposed by conventional methods.

The proposed technique is an adaptation from that used in the aircraft industries for aircraft design and provides a ball-park figure with little engineering man-hours. The authors have shown how such a design technique could be generalized to cover the EO-satellites platform ADCS. The authors divided the system requirements into five categories, including maneuverability, agility, accuracy, stability and durability. These requirements have been formulated as functions of spatial resolution that is the highest level of EO-missions PRs. To size, the ADCS main components, parametric characteristics of the matching diagram were determined by means of the design drivers.

Integrating the design boundaries based on the PRs in critical phases of the mission allowed selecting the best point in the design space as the baseline design with only two iterations. The ADCS of an operational agile EO-satellite is sized using the proposed method. The results show that the proposed method can significantly reduce the complexity and time duration of the performance sizing process of ADCS in EO-satellites with an acceptable level of accuracy.

Rapid performance sizing of EO-satellites ADCS using matching diagram technique and consequently, a drastic reduction in design time via minimization of design cycles makes this study novel and represents a valuable contribution in this field.

This paper examines the Pakistani state's shift from the accommodation to exclusion of the heterodox Ahmadiyya community, a self-defined minority sect of Islam. In 1953, the Pakistani state rejected demands by a religious movement that Ahmadis be legally declared non-Muslim. In 1974 however, the same demand was accepted. This paper argues that this shift in the state's policy toward Ahmadis was contingent on the distinct political fields in which the two religious movements were embedded. Specifically, it points to conjunctures among two processes that defined state–religious movement relations: intrastate struggles for political power, and the framing strategies of religious movements vis-à-vis core symbolic issues rife in the political field. Consequently, the exclusion of Ahmadis resulted from the transformation of the political field itself, characterized by the increasing hegemony of political discourses referencing Islam, shift toward electoral politics, and the refashioning of the religious movement through positing the “Ahmadi issue” as a national question pertaining to democratic norms.

The main objective of this paper is to investigate the role of information technology (IT) in business process reengineering (BPR) and their interdependency in the organization, and also to provide a framework for facilitating BPR efforts through IT tools for leading the organization towards knowledge‐based organization.

Based on review of recent literature, this is a conceptual paper that examines current perspectives of BPR regarding IT and provides a general framework for the study of BPR and IT.

Provides a conceptual framework that clarifies the interdependency between IT and BPR and also presents the major IT functions in different areas in the organization during the change program.

Suggests further research studies in case‐based studies implementations and analysis

Provides a very helpful guideline for practitioners in implementing IT tools for change programs. They can also understand to take into account both the emergent nature of change itself and the role of IT in BPR efforts through this paper. Meanwhile organization development researchers, knowledge management practitioners, IT consultants and change leaders may benefit this paper very much.

The paper may be of value to researchers in the change management field and to practitioners involved with BPR and IT. This study further opens up new lines of research and highlights implications for process redesign considering IT necessities, including issues associated with leading adoption of change program through IT tools. The paper also provides a synthesis and analysis of the viewpoints as reflected in the literature on various dimensions of BPR efforts and IT.

Stress concentration factors (SCFs) are commonly used to assess the fatigue life of tubular T-joints in offshore structures. SCFs are usually estimated from parametric equations derived from experimental data and finite element analysis (FEA). However, these equations provide the SCF at the crown and saddle points of tubular T-joints only, while peak SCF might occur anywhere along the brace. Using the SCF at the crown and saddle can lead to inaccurate hotspot stress and fatigue life estimates. There are no equations available for calculating the SCF along the T-joint's brace axis under in-plane and out-of-plane bending moments.

In this work, parametric equations for estimating SCFs are developed based on the training weights and biases of an artificial neural network (ANN), as ANNs are capable of representing complex correlations. 1,250 finite element simulations for tubular T-joints with varying dimensions subjected to in-plane bending moments and out-of-plane bending moments were conducted to obtain the corresponding SCFs for training the ANN.

The ANN was subsequently used to obtain equations to calculate the SCFs based on dimensionless parameters (α, β, γ and τ). The equations can predict the SCF around the T-joint's brace axis with an error of less than 8% and a root mean square error (RMSE) of less than 0.05.

Accurate SCF estimation for determining the fatigue life of offshore structures reduces the risks associated with fatigue failure while ensuring their durability and dependability. The current study provides a systematic approach for calculating the stress distribution at the weld toe and SCF in T-joints using FEA and ANN, as ANNs are better at approximating complex phenomena than typical data fitting techniques. Having a database of parametric equations enables fast estimation of SCFs, as opposed to costly testing and time-consuming FEA.

The stress concentration factor (SCF) is commonly utilized to assess the fatigue life of a tubular T-joint in offshore structures. Parametric equations derived from experimental testing and finite element analysis (FEA) are utilized to estimate the SCF efficiently. The mathematical equations provide the SCF at the crown and saddle of tubular T-joints for various load scenarios. Offshore structures are subjected to a wide range of stresses from all directions, and the hotspot stress might occur anywhere along the brace. It is critical to incorporate stress distribution since using the single-point SCF equation can lead to inaccurate hotspot stress and fatigue life estimates. As far as we know, there are no equations available to determine the SCF around the axis of the brace.

A mathematical model based on the training weights and biases of artificial neural networks (ANNs) is presented to predict SCF. 625 FEA simulations were conducted to obtain SCF data to train the ANN.

Using real data, this ANN was used to create mathematical formulas for determining the SCF. The equations can calculate the SCF with a percentage error of less than 6%.

Engineers in practice can use the equations to compute the hotspot stress precisely and rapidly, thereby minimizing risks linked to fatigue failure of offshore structures and assuring their longevity and reliability. Our research contributes to enhancing the safety and reliability of offshore structures by facilitating more precise assessments of stress distribution.

Precisely determining the SCF for the fatigue life of offshore structures reduces the potential hazards associated with fatigue failure, thereby guaranteeing their longevity and reliability. The present study offers a systematic approach for using FEA and ANN to calculate the stress distribution along the weld toe and the SCF in T-joints since ANNs are better at approximating complex phenomena than standard data fitting techniques. Once a database of parametric equations is available, it can be used to rapidly approximate the SCF, unlike experimentation, which is costly and FEA, which is time consuming.