International Marketing Ethics from an Islamic Perspective: A Value-Maximization Approach

International marketing practices, embedded in a strong ethical doctrine, can play a vital role in raising the standards of business conduct worldwide, while in no way compromising the quality of services or products offered to customers, or surrendering the profit margins of businesses. Adherence to such ethical practices can help to elevate the standards of behavior and thus of living, of traders and consumers alike. Against this background, this paper endeavors to identify the salient features of the Islamic framework of International Marketing Ethics. In particular, it highlights the capabilities and strengths of this framework in creating and sustaining a strong ethical international marketing culture. At the heart of Islamic marketing is the principle of value-maximization based on equity and justice (constituting just dealing and fair play) for the wider welfare of the society. Selected key international marketing issues are examined from an Islamic perspective which, it is argued, if adhered to, can help to create a value-loaded global ethical marketing framework for MNCs in general, and establish harmony and meaningful cooperation between international marketers and Muslim target markets in particular.     

Exogenous information and input-output updating: An evaluation

Input-output coefficients' intertemporal instability, costs, and time lags involved in the construction of survey-based tables necessitate employment of nonsurvey updating techniques. Analysts, however, may want to include exogenous information in the updating process. The issue, then, is whether this inclusion ameliorates or aggravates the results. This paper attempts to assess the wisdom of incorporating exogenous information into the updating procedure. First, using the naive, RAS, and LaGrangian techniques, the 1966 table of the former Soviet Union was updated to 1972. Next, treating the top 10 percent largest 1972 coefficients as exogenous estimates, the remaining coefficients were updated via the same three methods. Comparison of the results indicates that exogenous determination of the largest coefficients does not change the methods' rankings while yielding substantial improvements in the forecasts. This paper was presented at the Forty-Sixth International Atlantic Economic Conference, Boston, MA, October 8–11, 1998.     

Dynamic lot sizing problem with continuous-time Markovian production cost

This paper develops a polynomial algorithm for obtaining dynamic economic lot sizes in a single product multiperiod production system with the objective of minimizing total production and inventory costs over T periods. It is assumed that production costs are linear, inventory costs are concave, setup costs are zero and backlogging is not permitted in all periods. Moreover, the unit production cost is a stochastic variable, which is evolved according to a continuous-time Markov process over the planning horizon. The model is formulated as a stochastic dynamic programming (DP) optimization with the state variable being unit production cost. Then, it is solved using the backward dynamic programming approach. To justify the application of the proposed model, two practical cases are presented.     

A hybrid clustering and classification approach for predicting crash injury severity on rural roads

As a threat for transportation system, traffic crashes have a wide range of social consequences for governments. Traffic crashes are increasing in developing countries and Iran as a developing country is not immune from this risk. There are several researches in the literature to predict traffic crash severity based on artificial neural networks (ANNs), support vector machines and decision trees. This paper attempts to investigate the crash injury severity of rural roads by using a hybrid clustering and classification approach to compare the performance of classification algorithms before and after applying the clustering. In this paper, a novel rule-based genetic algorithm (GA) is proposed to predict crash injury severity, which is evaluated by performance criteria in comparison with classification algorithms like ANN. The results obtained from analysis of 13,673 crashes (5600 property damage, 778 fatal crashes, 4690 slight injuries and 2605 severe injuries) on rural roads in Tehran Province of Iran during 2011–2013 revealed that the proposed GA method outperforms other classification algorithms based on classification metrics like precision (86%), recall (88%) and accuracy (87%). Moreover, the proposed GA method has the highest level of interpretation, is easy to understand and provides feedback to analysts.     

Conceptualization of the real economy and Islamic finance: Transformation beyond the asset‐link rhetoric

A key factor behind the chronic crises in modern economies is the growing dominance of financialization and the resulting disconnect between the real economy and the financial sector, to which conventional financial industry is a key contributor. In contrast, Islamic finance claims to be real‐economy‐oriented, as all transactions must be asset‐linked (asset‐backed or asset‐based). However, is Islamic Finance based on proper conceptualization of the real economy? What is the real economy and its dynamics? How Islamic finance is interfaced with the real economy? In this article, the claimed real‐economy‐orientation is examined by presenting a conceptualization of the real economy and then evaluating the related discourse accordingly. The analysis presented, especially for noneconomists, exposes a serious gap between the claims about Islamic finance and the real economy it is supposed to advance. Appropriate conceptualization of the real economy can help the industry to be relevant and effective for broader socioeconomic transformation.     

Oil booms and inequality in Iran

We study the response of income inequality to positive per capita oil and gas revenue shocks in Iran. Using historical data from 1973 to 2016 and vector autoregression (VAR) as well as vector error correction (VECM) model‐based impulse‐response functions, we find a positive and statistically significant response of income inequality to oil booms. We also explore possible channels through which oil booms may increase inequality, including private sector credit growth, construction investment, international trade (imports) and real economic output. We find that following an oil boom, higher imports, private sector credit growth, and real economic output can explain the increased income gap to a certain degree in Iran's oil‐based economy. Our analysis can help policymakers evaluate and accommodate the possible positive or negative effects of inequality in Iran resulting from the 2016 lifting of the embargo against the country.     

Why is trait scepticism not consistently reflected in state scepticism? An exploratory study into the role of aesthetic engagement

Where an auditor's sceptical disposition (trait scepticism) is directed toward non-diagnostic information, there is a risk that a sceptical consideration of diagnostic information could be diluted. This may be one reason why trait scepticism is not consistently reflected in sceptical judgments and actions (state scepticism). We develop a scale to measure an individual's predisposition toward engaging with visual elements of the environment (aesthetic engagement) and test, in two experiments employing students and practicing auditors, whether aesthetic engagement moderates the trait – state scepticism relationship. We find that aesthetic engagement attenuates the positive relationship between trait and state scepticism.     

Law‐abiding organizational climates in developing countries: The role of institutional factors and socially responsible organizational practices

The institutional environment of developing countries may lead firms to engage in unlawful firm conduct, which is a pervasive problem in this context. Our paper examines the effectiveness of organizational practices for ensuring that firms adhere to the law in the light of pressures from the institutional environment to be unlawful. Using the lens of anomie theory, we investigate: (a) the negative effect of aspects of the institutional context—regulatory burden and lack of industry munificence—on a law‐abiding climate, a type of organizational climate related to unlawful conduct, and (b) the role of socially responsible organizational practices in combating these negative effects. Survey data were collected from 118 firms and analysed using OLS moderated regression. Our results indicate that a manager's perceptions of regulatory burden and lack of industry munificence are negatively related to the extent to which the firm has a law‐abiding climate. Furthermore, our findings shed light on the ability of socially responsible practices to countervail this effect. While the negative effect of perceived regulatory burden on law‐abiding climate weakens when codes of ethics are used more extensively by a firm, it strengthens when firms hold a CSR certification. The latter finding may be due to the lack of enforcement associated with the specific certification considered in our study.     

Board gender diversity and transparency of environmental,social and governance disclosure: Evidence from Malaysia

This study aims to investigate the effect of board gender diversity on the transparency of environmental, social, and governance (ESG) disclosures in an emerging market such as Malaysia. Dataset is comprised of 568 firm-year observations from 78 firms listed on the Bursa Malaysia. Ordinary least squares regression analysis of the data shows that ESG disclosure scores are significantly improved with the increasing presence of women directors on corporate boards. However, when the individual components are studied, the impact of board gender diversity varies. This study contributes to the limited but growing literature on ESG reporting quality and board gender diversity especially in emerging economies.     

Foreign direct investment and civil violence in Sub-Saharan Africa

Despite the steady growth in foreign direct investment (FDI) flow into Sub-Saharan Africa (SSA), which is facilitated by the United Nations "2030 Agenda for Sustainable Development", economic development in SSA countries remains relatively weak, due in part to frequent incidents of civil violence. The critics of FDI inflow into SSA posit that the cross-border capital flow fuels civil conflict and unrest, whilst the proponents maintain that FDI inflow helps developing countries raise their economies. To reconcile these two views, this paper considers the impact of FDI on civil violence in SSA by distinguishing recipient industries of FDI. The results from a new general equilibrium theory suggest that an increase in resource-directed FDI inflow to countries where the resource sector is skilled labour (unskilled labour) intensive reduces (increases, respectively) the risk of violence. Using a panel data consisting of 34 SSA countries for 1972–2013, the dynamic panel estimates provide support for our theoretical findings. In particular, an increase in FDI inflow reduces the risk of civil violence for skilled labour intensive fuel-resource-rich SSA countries. However, the likelihood of violence can increase in FDI inflow for countries that are rich in unskilled labour intensive non-fuel, ore and other mineral resources.