Market Orientation,Corporate Social Responsibility,and Business Performance

This study examines the moderating effects of corporate social responsibility (CSR) on the association between market orientation and firm performance in the context of an emerging economy. The results from a sample of firms that operate in Dubai indicate that CSR has a synergistic effect on the impact of market orientation on business performance. The results of our research on the moderating effects of CSR on market orientation subsets reveal that although CSR moderates the association between customer orientation and business performance, it does not moderate the association between competitive orientation and inter-functional coordination and performance. The results of this study are discussed, and implications for practitioners and researchers are presented.     

A profit assessment model for equipment inspection and replacement under renewing free replacement warranty policy

For many types of equipment whose maintenance requires skilled labor or whose random failure may have serious consequences, such as aircraft engines, medical equipment and others, customers generally prefer to entrust maintenance activities to the manufacturer or any of its representatives. The latter must, in turn, provide the customer with a maintenance program that is economically viable for both parties. In this study, the customer and the manufacturer agree on what follows regarding a non-self-announcing failure equipment whose state is only known through inspection: during the warranty period, the manufacturer inspects the equipment according to a specified schedule which he establishes taking into account that the costs incurred for inspections and replacements are supported by him during the warranty period. After the expiration of the warranty, inspections and replacements are performed by the manufacturer and billed to the customer. Moreover, penalties related to inactivity periods between failures and their detection are always supported by the manufacturer. The warranty is applicable to any equipment replaced during the validity period of the service contract. This type of contract generates a profit for the manufacturer. In this paper, an analytical model taking into account the commitments of both parties has been developed. The model allows generating the instants (x₁, x₂,…, x_n) at which the inspections must be performed and the corresponding expected profit for the manufacturer while considering the warranty period offered on the market for similar equipment. An algorithm has also been developed to generate the inspection instants given the costs structure and the lifetime probability distribution of the equipment. In a context where business models argue for a greater implication of suppliers towards their customers, the proposed decision model may be relevant and very useful.     

Big data tools for Islamic financial analysis

Behavioural science states that emotions, principles and the manner of thinking can affect the behaviour of individuals and even investors in their decision making on financial markets. In this paper, we have tried to measure the investor sentiment by three means of big data. The first is based on a search query of a list of words related to Islamic context. The second is inferred from the engagement degree on social media. The last measure of sentiment is built, based on the Twitter API classified into positive and negative directions by a machine learning algorithm based on the naive Bayes method. Then, we investigate whether these sensations and emotions have an impact on the market sentiment and the price fluctuations by means of a vector autoregression model and Granger causality analysis. In the final step, we apply the agent‐based simulation by means of the sequential Monte Carlo method with the control of our Twitter measure on Islamic index returns. We show, then, that the three social media sentiment measures present a remarkable impact on the contemporaneous and lagged returns of the different Islamic assets studied. We also give an estimation of the parameters of the latent variables relative to the agent model studied.     

Share transfer behaviour of newly introduced Tunisian companies and its determinants: An empirical analysis

This study seeks to determine the reasons behind original shareholder sales of particular numbers of shares at the IPO date. It also examines whether share transfer behaviour reveals specific characteristics of blockholders and if a non-linear relationship emerges between the variable representing the shares held by controlling shareholders immediately prior to the transaction and the share transfer variable. The sample consists of 46 Tunisian companies listed on the Tunis Stock Exchange during the period 1992–2012. Results show that the original shareholders sale decision depends significantly on company growth opportunities. Assignee shareholders benefit from favourable stock market conditions when they sell their shares at the IPO time. Share transfer behaviour depends on whether company ownership consists of a family or not, and on whether the shareholders are blockholders or not. Besides, controlling shareholders benefit from IPO to enhance their ownership.     

Labor Market Policies as Instruments of Industry Policy: What Can Europe Learn from Southeast Asia?

Abstract . It seems there is a pessimistic view about the need and effectiveness of industry policy in an era of unprecedented globalization. The discussion about industry policy has been mostly on the fiscal, credit, and tariff measures, which are generally designed to favor particular activities. However, the rationale for industrial policy does not have to be the infant industry argument or market failures and knowledge spillover. In advanced industrial countries, the rationale for industry policy arises from the need to constantly restructure their economies to maintain competitiveness. The lesson that mature democracies can learn from East and Southeast Asia is the importance of consensual policy making, especially in the realm of the labor market. Such policies have not only helped them maintain macroeconomic stability but also accelerated industrial restructuring.     

What factors drive the adoption of digital banking? An empirical study from the perspective of Omani retail banking

This study aims to investigate the factors influencing the adoption of digital banking by retail banking customers. A theoretical model was developed based on an extended technology acceptance model to conceptualize the linkage among the factors impacting digital banking adoption. The primary data were acquired through a structured questionnaire from 200 customers. The multiple linear regression equation was used to analyse the relationship among six independent factors. The study revealed awareness, web features and perceived usefulness have significant positive influence on adoption of digital banking. The study is useful to plan and promote service model to enhance digital banking adoption.     

ROBUST UTILITY MAXIMIZATION IN NONDOMINATED MODELS WITH 2BSDE: THE UNCERTAIN VOLATILITY MODEL

The problem of robust utility maximization in an incomplete market with volatility uncertainty is considered, in the sense that the volatility of the market is only assumed to lie between two given bounds. The set of all possible models (probability measures) considered here is nondominated. We propose studying this problem in the framework of second‐order backward stochastic differential equations (2BSDEs for short) with quadratic growth generators. We show for exponential, power, and logarithmic utilities that the value function of the problem can be written as the initial value of a particular 2BSDE and prove existence of an optimal strategy. Finally, several examples which shed more light on the problem and its links with the classical utility maximization one are provided. In particular, we show that in some cases, the upper bound of the volatility interval plays a central role, exactly as in the option pricing problem with uncertain volatility models.     

The choice of ADRs

We study the determinants of a firm’s decision to issue one of the four available ADR programs (Level I, Level II, Level III, and Rule 144A). We find that the firm’s attributes (size, income, asset growth, leverage, privatization, ownership structure, and country-of-origin) and the firm’s home-country institutional variables (accounting rating and legal protection of minority shareholders) condition this choice. We also examine the issuing activity and the determinants of the ADR choice before and after the enactment of the Sarbanes–Oxley (SOX) Act. Following this structural change, we provide evidence of a reallocation between ADR programs. Compared to the pre-SOX period, firms from emerging markets, and those from countries with weak legal protection of minority shareholders, are more likely after SOX to choose Rule 144A and Level III, respectively.     

Basic Process Capability Indices: An Expository Review

A review of the four basic process capability indices has been made. The interrelationship among these indices has been highlighted. Attention has been drawn to their drawbacks. The relation of these indices to the proportion nonconforming has been dwelt upon and the requirement of the adequate sample size has been emphasized. Cautionary remarks on the use of these indices in the case of nonnormal distributions, skewed distributions, and autocorrelated data are also presented. The effect of measurement error on process capability indices has been dealt with in great detail.