Asymmetric Effects of Policy Uncertainty on Domestic Investment in G7 Countries

Open Economies Review - Few studies in the literature have argued or empirically shown that the link between domestic investment and an uncertainty measure is nonlinear, or that the response of...     

An Analysis of Hong Kong Auditors' Perceptions of the Importance of Selected Red Flag Factors in Risk Assessment

This study examined auditors' perceptions of the relative level of risk of fraud and material irregularities associated with the presence of six red flag factors and also evaluated the quality of auditors' judgements. The study was conducted in two stages. In the first stage, subjects were asked to rank the importance of 15 factors that proxy the existence of material misstatements. Based on the responses to this questionnaire, 6 of the most important factors were identified and included in the second stage, a lens model experiment. In the lens model experiment, 30 experienced auditors from a cross-section of Big 6 firms were used as subjects in a repeated-measures ANOVA design. Results showed that misstatements in prior audits and indicators of going-concern problems were perceived to be the most significant factors in alerting auditors to the risk of fraud and material irregularities. In making these judgements, auditors demonstrated a relatively high level of consensus and consistency. However, the two most important factors in the lens model experiment are not the same as the results of the first survey suggesting that the first group of respondents, faced with a simple questionnaire, used heuristics in their decision making. The results have implications for audit practice.     

Developing effective social media messages: Insights from an exploratory study of industry experts

As consumers are increasingly utilizing the social network and media platforms for prepurchase information, managers are confronted with producing effective social media messages that can favorably influence buyers’ attitudes and behavioral intentions towards brands. A qualitative, in‐depth, elite interview investigation with social media marketing experts was undertaken to develop awareness of the factors influencing the effectiveness of social media marketing. Adopting a thematic analysis approach, this study establishes the three overriding themes of interactivity, credibility, and infotainment as being valuable in determining how social media marketing can enhance brand performance. Attitude theory and the hierarchy‐of‐effects model is utilized to support understanding and explain the decision making of social media users in this context. Overall, this study provides managers with a thorough explanation of the effects of the identified core themes on social media attitudes and intentions. Implications for social media marketing theory and practice are presented based upon the depth and breadth of knowledge attained from the analysis of the expert interview data.     

Investigating the Impacts of Organizational Factors on Employees’ Unethical Behavior Within Organization in the Context of Chinese Firms

Unethical behavior is under-examined in the workplace. To date, few studies have attempted to explore the antecedents of an employee’s ethical decisions, particularly with respect to unethical behavior and its effects. To capture an employee’s psychological perception of unethical behavior in the workplace, this paper integrates organizational factors (codes of conduct, likelihood of detection, and performance pressure) into the Theory of Reasoned Action. By conducting an empirical study in a Chinese firm, we found that codes of conduct and performance pressure have a significant influence on an employee’s attitude toward and social beliefs about unethical behavior. We also demonstrated that employees’ unethical behaviors affect the firm performance of an entrepreneurial venture. The insights gleaned from the findings on this Chinese company have a number of important implications for both research and practice.     

Excess sensitivity and borrowing constraints: Evidence from Iranian households

In contrast to the findings of simple rational expectations permanent income hypothesis models, empirical studies show that income changes can help predict consumption change. This is dubbed as excess sensitivity in the macroeconomic literature. We use Iranian household data to investigate the excess sensitivity using civil servant status as a proxy for borrowing constraints. We observe that the excess sensitivity is different among different panels. Much less excess sensitivity is observed for government employees who have better access to finance due to the structure of the labour market and banking system in Iran. Our proxy variable to divide data, which is the working status of the head of the household, does not suffer from endogeneity problems evident in the previous literature. The results of this study indicate that the actual consumption profile of a constrained household is suboptimal and hence deepening financial access can decrease the welfare loss of this suboptimality.     

A combination of QFD and imprecise DEA with enhanced Russell graph measure: A case study in healthcare

Quality function deployment (QFD) is a proven tool for process and product development, which translates the voice of customer (VoC) into engineering characteristics (EC), and prioritizes the ECs, in terms of customer's requirements. Traditionally, QFD rates the design requirements (DRs) with respect to customer needs, and aggregates the ratings to get relative importance scores of DRs. An increasing number of studies stress on the need to incorporate additional factors, such as cost and environmental impact, while calculating the relative importance of DRs. However, there is a paucity of methodologies for deriving the relative importance of DRs when several additional factors are considered. Ramanathan and Yunfeng [43] proved that the relative importance values computed by data envelopment analysis (DEA) coincide with traditional QFD calculations when only the ratings of DRs with respect to customer needs are considered, and only one additional factor, namely cost, is considered. Also, Kamvysi et al. [27] discussed the combination of QFD with analytic hierarchy process–analytic network process (AHP–ANP) and DEAHP–DEANP methodologies to prioritize selection criteria in a service context. The objective of this paper is to propose a QFD–imprecise enhanced Russell graph measure (QFD–IERGM) for incorporating the criteria such as cost of services and implementation easiness in QFD. Proposed model is applied in an Iranian hospital.     

Some unified characterization results on the generalized Pareto distributions based on generalized order statistics

In the present study we extend and unify some existing results in the literature on characterization of the generalized Pareto distributions based on generalized order statistics.     

The Effect of Normative Expectations on Employees’ Intrinsic Interest in Creativity: Is There also a Mediating Mechanism?

As the core element of a firm’s innovation capabilities and the source of firm growth, increasing employee creativity is a primary goal of organizations. Based on social cognitive theory, role theory, and creativity theory, this paper investigates the relationship between perception of normative expectations and employees’ intrinsic interest in creativity, as well as explores the role of self-efficacy in this relationship. We use data from a survey questionnaire of 2,035 employees from 185 firms in different geographic locations across China. Our empirical findings reveal that when employees perceive a normative expectation coming from leaders, family or customers, coupled with the fear of failing to satisfy the expectations of those referent groups, it positively and significantly affects their intrinsic interest in creativity. In addition, self-efficacy not only positively and significantly affects employees’ intrinsic interest in creativity, but also plays a partially mediating role in the relationship between the perception of expectation and employees’ intrinsic interest in creativity.     

A DEA model for resource allocation

This paper concerns inverse DEA. The aim is to estimate input/output levels of a given Decision Making Unit (DMU) when some or all of its input/output levels are changed, under preserving the efficiency index. We show that in the case of estimating increased required input vector when the output vector is increased, the current method which uses weakly efficient solution of the relevant multiple objective optimization problem may fail. We propose some sufficient conditions for input estimation.