Main Determinations of Female Entrepreneurs in the Construction Industry in Malaysia

This paper explores the determination of female entrepreneurs in the construction industry based on masculine and feminine characteristics in the Malaysian construction industry, using the Bem Sex‐Role Inventory (BSRI). The median split method determined that female construction entrepreneurs have masculine traits. The results are not robust because of the limited number of responses; nonetheless, the findings can be used as a platform for future research on female construction entrepreneurs in the construction industry in Malaysia. To enhance the findings’ contributions, this paper also discusses the industry characteristics, which are considered to have significantly contributed to the masculinity of female construction entrepreneurs.     

What we know,what we still need to know: the Asian currency crisis revisited

From the literature on currency crises, it is widely understood that weak economic fundamentals increase tremendously the probability of currency crises, especially in emerging markets. However, what was not known is that an accumulation of small problems interacting with each other can be equally damaging. Using a new technique, a combination of Classification and Regression Tree (CART) and Logit regression, this paper re‐examines the causes of the Asian currency crisis in 1997–98. The results indicate that although weak fundamentals were at the root of the crisis, only self‐fulfilling panic and herd behaviour can explain the severity of the crisis. Contrary to previous empirical research, our results indicate that the Asian crisis was caused by the accumulation of small fragilities rather than large deficiencies in the macroeconomic fundamentals. An important policy implication of such findings is the need for governments not to underestimate small problems, which, when they interact, can create chaos. Another novelty of this paper is the interpretation of the crisis in terms of the concepts of trigger and vulnerability, using an empirical model that captures the magnitude of the self‐fulfilling panic and its contribution to capital reversal and eventually to the collapse of the currencies.     

A new fuzzy multi-criteria framework for measuring sustainability performance of a supply chain

Sustainable supply chain performance measurement is aimed at addressing environmental, social and economic aspects of sustainable supply chain management. It can be argued that it is not easy to reduce all dimensions of sustainable supply chain to a single unit. Then, the issue is that all valuations should somehow be reducible to a single one-dimensional standard. Multi-criteria evaluation introduces a framework to remedy this issue. As a consequence, multi-criteria evaluation seems to supply a proper and adequate assessment framework for sustainable supply chain assessment. In this study, a multi-criteria framework based on fuzzy entropy and fuzzy multi-attribute utility (FMAUT) is proposed in order to evaluate and compare the company performances in terms of sustainable supply chain. However, note that reducing all aspects of sustainable supply chain to a single unit using a multi-criteria framework may not be sufficient to satisfy all the needs of decision makers although it is used to evaluate sustainability performance of supply chains with respect to three aspects. Therefore, in this research, an alert management system is also developed to satisfy further requirements of users. The proposed frameworks are tested using data obtained from one of the middle sized Turkish grocery retailers.     

Truth-telling and trust in sender–receiver games with intervention: an experimental study

Recent experimental studies find excessive truth-telling in sender–receiver games. We show that this phenomenon is robust to the random intervention of a truthful regulator. In addition, intervention significantly increases the excessive trust of receivers while the overall percentage of truthful messages received does not change much with or without intervention. We offer a theoretical explanation for the behavior of senders and receivers, using a logit agent quantal response equilibrium (logit-AQRE) model incorporating a non-monetary lying cost for senders (like Peeters et al. in Scand J Econ 115(2):508–548, 2013). We show that our experimental findings are all consistent with the predictions of this model. Moreover, we find that the lying cost is significantly higher under intervention, implying that truthful intervention is beneficial for receivers and justified as a tool for policy makers acting on behalf of informationally inferior parties.     

Measuring Congruence of Affective Images of Destinations and Their Slogans

This study examines whether consumers' emotive responses to a destination slogan are consistent with their reactions to the destination that the slogan is created for and whether affective image congruence between the two contributes to destination brand awareness. Findings conclude that destinations and their slogans may not evoke similar emotions and that affective similarity between a destination and its slogan significantly improves consumers' ability to correctly identify a destination from its slogan. This study proposes and tests a practical tool to aid destination marketers in their effort to evaluate the effectiveness of their brand slogans. Copyright © 2012 John Wiley & Sons, Ltd.     

Return predictability: The dual signaling hypothesis of stock splits

This paper aims to differentiate between optimistic splits and overoptimistic/opportunistic splits. Although markets do not distinguish between these two groups at the split announcement time, optimistic (overoptimistic/opportunistic) splits precede positive (negative) long‐term buy‐and‐hold abnormal returns. Using the calendar month portfolio approach, we show that the zero‐investment, ex ante identifiable, and fully implementable trading strategy proposed in this paper can generate economically and statistically significant positive abnormal returns. Our findings indicate that pre‐split earnings management and how it relates to managers’ incentives, is an omitted variable in the studies of post‐split long‐term abnormal returns.     

Earnings Differentials Determinants Between Skills in the Malaysian Manufacturing Sector

The Malaysian manufacturing sector has been experiencing a gradual change in its production process as it shifts from labor-intensive to more capital-intensive techniques. This has led to a change in the skills required by the industries where skilled workers are in greater demand and where the wage ratio between skills favors the skilled workers. There are many factors that can influence an indi-vidual's earnings. These include educational attainment, job location, types of industries and sex. This paper attempts to measure the determinants of earnings differentials among skilled, semi-skilled and unskilled workers in the Malaysian manufacturing sector. The analysis is based on a survey of 2065 workers in six major industries conducted in 1999. These are the electrical and electronics, textile, wood-based, transport equipment, food and chemical industries. The determin-ants of earnings differentials are obtained by using the coefficients of the earnings functions. These factors are decomposed into several categories, namely human capital, individual characteristics and the residual. The results reveal that human capital variables, which comprise education, training and experience, play a significant role in determining the earnings differentials, particularly between skilled and semi-skilled workers and between semi-skilled and unskilled workers.     

International Medical Travelers’ Behavioral Intention: An Empirical Study in Iran

A few studies have examined destination image (DI), hospital service quality (HSQ), hospital accreditation (HA), patient attitude (PA) on patient satisfaction (PS), revisit intention (RI) and word of mouth (WOM) in a tourism context. The purpose of this study is to examine the impact of medical travelers’ behavioral intention in Iran. A total of 250 questionnaires were distributed with a response rate of 68%. Quantitative techniques were used to test the hypotheses within the structural equation modelling (SEM) using SmartPLS software. Our statistical results support the positive relationship between DI and PS, HSQ and PA, HSQ and RI, HSQ and WOM, HA and PA, PA and PS, PS and RI, and PS and WOM. However, the relationship between DI and PA, DI and RI, HA and PS, and HA and WOM were not supported. The research contribution, implication, and limitation are discussed.     

Data Mining Approach for Direct Marketing of Banking Products with Profit/Cost Analysis

Nowadays, many businesses, such as banks, use direct marketing methods to reach customers to minimize the campaigning cost and maximize the return rate. To achieve this, huge customer data should be analyzed to determine the most appropriate product offer for each customer and the most effective channel to reach her/him. However, since only a very small amount of responses collected from the customers are positive to the offers, the dataset is very imbalanced. This decreases sensitivity ratio of prediction results and makes it difficult to make a successful product and channel selection for the offer. In this paper, we propose a hybrid system, which first classifies the customers to decide if s/he is interested in the offered product, and then clusters them for product and channel suggestions. Experiments with real life banking data show very promising accuracy results for predicting the proper product and channel for the customers. Moreover, cost-profit analysis is also added to this problem. Our experiment results show that the proposed method decreases a fraction of the total profit, but since the decrease in the total cost is very large, there is a huge increase in the overall profit/cost ratio.