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.     

Leadership in Islam

Leadership is about knowledge, skills, and abilities for transformation. It is also increasingly about worldviews or visions of life—beliefs, values, and principles. But worldviews are also ways of life, for beliefs direct us, values guide us, and principles motivate us to certain kinds of action and behavior. How, then, do worldviews have an impact on leadership for transformation? If worldviews are glasses or filters by which we view the world, mental models of the bigger picture, frameworks by which we make sense of the world, and narratives by which we orient our lives, then how do they influence human thoughts, ideas, and behaviors when it comes to transformative leadership? This was the subject matter of an International Leadership Association Conference panel discussion held in November 2009 in Prague, entitled Leadership for Transformation: The Impact of Worldviews. It is also the subject matter of this issue's symposium, in which we bring you the four papers and the response presented at the conference. Members of the panel were characterized by gender, disciplinary, religious, and global diversity. Nathan Harter, organizational leadership professor at Purdue University in the United States, begins the discussion with some preliminary remarks about worldviews. Ali Mohammed Mir, medical doctor and director of programs of Population Council, Pakistan, speaks of leadership from an Islamic perspective. Michael Jones, accomplished composer, pianist, and leadership educator, writer, and speaker from Orillia, Canada, reflects on how a “marriage of mythos and logos” can transform leadership today. Lisa Ncube, originally from Zimbabwe and currently assistant professor of organizational leadership at Purdue University, speaks about Ubuntu as an alternative leadership philosophy emerging from Africa. John Valk, associate professor of worldview studies at Renaissance College, University of New Brunswick, Canada, speaks of leadership for transformation from a Christian worldview perspective. Jonathan Reams, associate professor in the Department of Education at the Norwegian University of Science and Technology in Trondheim, responds to all of the papers and opens a venue for further discussion. We hope that you will find this symposium engaging. We hope it will give food for thought and that it might stimulate further thinking regarding the role worldviews play in leadership for transformation.     

The mean residual of record values at the level of previous records

In the study of reliability of the technical systems, records model plays an important role. Suppose that a technical system is subject to shocks, e.g. peaks of voltages or stresses. The successive large shocks may be viewed as realizations of records from a sequence of identically independent voltages. Assume that the lower limit value of the mth record voltage (stress) is v > 0. Under these conditions, we propose a mean residual of records (MRR’s) for the future records. We study several properties of MRR. We show that the proposed MRR uniquely characterizes the distribution function that generated the sequence of records. It is proved that when the model under study has an increasing hazard rate the corresponding MRR is decreasing. We also compare between two record systems based on their MRR’s when these systems are ordered in terms of their hazard rates.     

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.     

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.     

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.     

Examining Organic Food Purchases and Preferences Within Jordan

Continuing economic development in Jordan provides potential food marketing opportunities as a new group of prospective value-added food product consumers emerges. The growing demand for high-value foods such as organically produced items also provides a new potential value-added market for Jordanian farmers. No studies to our knowledge have examined consumer preferences toward organic food items within Jordan. This study provides an initial attempt to fill this knowledge gap by examining the market for organic food items from a demand perspective in order to increase the knowledge available to Jordanian farmers, food processors, and retailers.     

Exchange Rate Regime and Demand for Reserves: Evidence from Kenya,Mexico and Philippines

This paper empirically investigates the demand for international reserves (and foreign exchange reserves) during fixed and floating exchange rates periods in three developing countries: Kenya, Mexico and Philippines. Based on theoretical models, three factors are identified as important for the demand of international reserves and foreign reserves: average propensity to import, volume of imports and variability of reserves. The paper employs the cointegration methodology and error correction method to investigate the relationships. Cointegration tests results indicate a reliable long-run stationary relationship between the international reserves (and foreign exchange reserves) and the stated explanatory variables across countries and sub-periods of fixed and clean float. The error correction results indicate causality from the explanatory variables to the reserves during both the short and long run. This is true during both the fixed and the floating periods.