The Gravity Model Analysis of Bangladesh's Trade: A Panel Data Approach

The article applies generalized gravity models to analyze Bangladesh's bilateral trade pattern using the panel data estimation technique. The results reveal that Bangladesh's trade is positively determined by the size of the economies, per capita gross domestic product differential and openness of the trading countries. Bangladesh's exports are positively determined by its income, partner countries' total import demand and openness, but negatively determined by partner countries' income and domestic inflation. Bangladesh's imports are positively determined by income of trading countries and degree of openness of the partner countries and negatively determined by partner countries' inflation. Transportation costs affect Bangladesh's trade negatively.     

Buffett’s alpha: further explanations from a behavioral value investing perspective

Warren Buffett has had extraordinary success as an investor, but there is no agreement as to why. Some academic researchers attribute his performance to mere luck. Frazzini et al. (Financ Anal J 74(4):35–55, 2018), concluded that his alpha is due to leveraging safe, high-quality, and cheap stocks. However, there has been no analysis to date of Buffett’s performance from a behavioral perspective. We argue that Buffett’s success is partly due to qualitative and psychological factors, including tenacity, patience, avoidance of overconfidence, organizational culture, and the reputation effect. Using information from shareholder letters, writings, interviews, and speeches by Buffett and his colleague Charlie Munger, we demonstrate how such psychological factors, together with the quantitative findings of Frazzini et al., render a more complete and satisfying explanation of Buffett’s alpha.

     

Vicarious warfare and dynamic efficiency of companies in the aerospace and defence industry

This study explores the economic performance that vicarious warfare can bring for the aerospace and defence industry. First, this study measures the performance of 22 companies using a nonradial dynamic data envelopment analysis model from 2011 to 2017. Second, this study evaluates whether vicarious warfare can influence the performance. The efficiency analysis suggests rooms for improvements meanwhile, the projection analysis suggests that market value should be significantly increased, and the number of employees should be reduced significantly. The regression analysis suggests that the number of times a country takes a side in wars would positively affect the efficiency of companies.     

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.     

The Industry Determinants of Exchange Rate Pass-Through into Canadian Producer Prices

This paper models and estimates exchange rate pass-through and its determinants in Canadian manufacturing industries. The paper predicts theoretically that the exchange rate pass-through should be between one and zero, where it is positively affected by the share of tradable inputs in production costs and the domestic firms’ market share, and negatively by the elasticity of marginal cost with respect to output. The sign for the degree of product differentiation is not theoretically clear. Results of estimation indicate that pass-through is incomplete and is mostly affected by the share of tradable inputs in production costs (positively) and the elasticity of marginal cost with respect to output (negatively).     

Board Committee Meetings and Firm Financial Performance: An Investigation of Australian Companies

This article examines how the frequency of board committee meetings impacts on Australian firms' financial performance. Data were collected from 118 Australian listed companies – including 26 financial firms and 92 nonfinancial firms – for the period 1999–2007. Analysis of that data shows that the frequencies of audit committee meetings and remuneration committee meetings are positively and significantly associated with return on equity and return on assets. The frequencies of risk committee meetings do not show any significant effects on the financial performance of Australian firms. Estimated results are found to be robust after controlling for internal as well as external governance mechanisms that might affect Australian firm performance.     

Developing a Group Decision Support System for Advertising Media Evaluation: A Case in the Middle East

The importance of advertising media evaluation as a multifaceted problem is well known by both academics and practitioners. Although previous studies tried to optimize media evaluation, there still are some gaps and problems to address, particularly in areas of flexibility of models/frameworks, decision making quality, tension management, and agility of the evaluation process. Most of previous studies are based on inflexible models/frameworks that have limitations on number of criteria/alternatives they can consider and type of data they can process. A great volume of the work used arbitrary decision making; arbitrary decision making regarding criteria and media importance may reduce effectiveness of advertising campaigns. Furthermore, the academic literature offers little guidance on group decision aggregation, and tension management during decision making is neglected. Media evaluation is a time taking process and any acceleration will reduce pre-campaign costs. The main aim of this paper is to illustrate how a group decision support system (GDSS) can assist media planners to overcome mentioned problems more systematically. For this purpose, we developed a GDSS that is an integration of three well-known multi-criteria decision making techniques. With a real world case study, we illustrate the performance of the proposed GDSS. Results of our quantitative assessments indicate that the GDSS is flexible, allows decision makers to express their opinions, reduces tension among decision makers, and saves time.     

A critical appraisal of the reporting quality of published randomized controlled trials in the fall injuries

To evaluate the quality of reporting in published randomized controlled trials (RTCs) in the field of fall injuries. The 188 RTCs published between 2001 and 2011, indexed in EMBASE and Medline databases were extracted through searching by appropriate keywords and EMTree classification terms. The evaluation trustworthiness was assured through parallel evaluations of two experts in epidemiology and biostatistics. About 40%–75% of papers had problems in reporting random allocation method, allocation concealment, random allocation implementation, blinding and similarity among groups, intention to treat and balancing benefits and harms. Moreover, at least 10% of papers inappropriately/not reported the design, protocol violations, sample size justification, subgroup/adjusted analyses, presenting flow diagram, drop outs, recruitment time, baseline data, suitable effect size on outcome, ancillary analyses, limitations and generalizability. Considering the shortcomings found and due to the importance of the RCTs for fall injury prevention programmes, their reporting quality should be improved.     

Bayesian Inference in Auditing: Evidence on the Most Appropriate Assessment Techniques

Interest in the use of the Bayesian statistical method in auditing has been increasing over the past few years. To use this method, however, appropriate prior probability assessment techniques (PPAT) need to be identified. This study uses three evaluation criteria, acceptability, accuracy and concordance, to compare four PPATs in auditing. The four PPATs compared are cumulative distribution function (CDF), probability density function (PDF), equivalent prior sample information (EPS), and hypothetical future samples (HFS). Seventy-three practising auditors were trained to use these four PPATs in their task of compliance error quantification in an audit case study. Results indicate that PDF is the most appropriate PPAT and EPS the least appropriate PPAT for use in practical audit situations. CDF and HFS were in the middle with no clear difference between them. Implications for audit practice and research are discussed.     

PROMETHEE Group Decision Support System and the House of Quality

Quality function deployment (QFD) is a multi-step method that monitors customer needs throughout a product development process. The House of Quality (HOQ) exercise undertaken in the first phase of QFD is considered as the most important, since customer needs must be accurately translated into a set of technical requirements for the final product. This paper provides a PROMETHEE group decision support system (GDSS) approach that integrates the design preferences of the QFD team. We highlight the selection and ranking of the technical requirements in the HOQ exercise, where a group of multidisciplinary decision makers (DMs) in a globally dispersed QFD team is required to input their individual preferences. Our approach advances the HOQ group decision making context in three important areas. First, it treats each criterion and DM as unique in terms of the preference function and threshold levels. Second, it seeks a multi-criteria approach for the HOQ process, where some DMs may play a more important role than others on a certain criterion. Third, sensitivity analysis through the Geometrical Analysis for Interactive Assistance (GAIA) plane provides valuable information about the conflicts, similarities, or independencies between the criterion and the DMs, respectively. A case on an automotive part illustrates the performance of the PROMOTHEE approach with GAIA.