Airline Travelers' Causal Attribution of Service Failure and Its Impact on Trust and Loyalty Formation: The Moderating Role of Corporate Social Responsibility

This study examines airline travelers' causal attribution (stability and controllability) and its impact on trust and loyalty formation and investigates the moderating role of corporate social responsibility (CSR) in this process. Based on a literature review, theoretical relationships between stability, controllability, CSR, trust, and loyalty were derived, and the moderating effects of CSR on relationships between stability/controllability and trust/loyalty were examined. To empirically test these theoretical relationships, quantitative data were collected from 271 airline passengers who experienced a service failure in the past year. The results provide support for effects of stability and controllability on trust as well as the effect of stability on loyalty. In addition, the perception of CSR had positive effects on trust and loyalty. Finally, a favorable CSR perception weakened the negative effects of a service failure on trust and loyalty, particularly when the failure was attributed to a stable cause. The results highlight the important role of CSR in service failure situations and have important implications for airline managers.     

Explaining the Role of Perceived Risk,Knowledge, Price,and Cost in Dry Fish Consumption Within the Theory of Planned Behavior

ABSTRACT

The general purpose of this study is to explore the influence of perceived risk, knowledge, price, and cost of dry fish consumption in Bangladesh using the general framework from the theory of planned behavior (TPB). The field experiments were performed in Bangladesh with a convenience sample of 558 respondents. Multiple regression analysis was used to investigate the relationship among perceived risk, knowledge, price, and cost and TPB constructs. The findings showed that attitude, norms, and procedural knowledge emerge as the key determinants of intention, whereas intention, attitude, norms, and perceived risk have effects on the dry fish consumption frequency. Perceived behavioral control, price, and cost had no significant effect on intention and consumption behavior. The proposed TPB and the extended model both fit the data well and proved the expectations of this study in a promising way. The study found that people are more concerned about potential long-term risk to their family and others. Therefore, management attention should focus on reducing risks which consumers may face through producing safe and hazard-free dry fish.     

An integrative framework for customer switching behavior

Due to increased intensity of competition, retention of customers has become a major concern in many service industries. Although researchers have investigated customer switching intention and its influential factors, the complex structural mechanisms that reduce the likelihood of switching intention in the field of financial services, especially in the banking context, have remained understudied. This paper addresses the role of customer satisfaction, customer loyalty, customer trust, and customer perceived value within a new conceptual model for customer switching intention in the banking services. In particular, the paper contributes to examine the potential moderating effect of switching barriers on the relationship between customer loyalty and switching intention as well as the relationship between satisfaction and switching intention of customers in the banking services. Data are collected through a questionnaire survey, and partial least squares-structural equation modeling is used for data analysis. Empirical results confirm the proposed model and hypotheses and show that switching barriers strengthen the impact of both customer loyalty and satisfaction on switching intention. The findings of this research offer a unified view of the structural relationships that contribute to reduced switching intention and provide more in-depth insights into the role of switching barriers in the banking context.     

Impact of patient portal behavioral engagement on subsistence consumers' wellbeing

Subsistence consumers, representing almost half the global population, live on low incomes, possess low levels of literacy, and generally experience poor health. Technology is a tool used to facilitate stronger connections between consumers and support services, including for subsistence consumers. Given the unique characterization of subsistence marketplaces, research needs to examine potential associations between subsistence consumers' individual resource integration and wellbeing via their behavioral engagement with technologies. Research is also warranted that investigates the factors that can moderate this association. A 45-day customized patient portal app was delivered via 26 healthcare service providers, resulting in the surveying of 336 subsistence consumers who used the portal. The results indicate positive associations between subsistence consumers' individual resource integration, patient portal behavioral engagement, and wellbeing. They also indicate that these associations are strengthened by service provider's resource support and subjective norms, and weakened by medical mistrust. Theoretical and managerial implications from this study's findings are discussed.     

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.     

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.     

The role of financial investors in determining the commodity futures risk premium

I develop and test a model to study the interaction between the commodity and stock markets. This study attempts to clarify the debate about the effect of financialization on commodity markets. Theoretically, the futures risk premium is determined by hedging pressure, stock market returns, and the commodity–equity correlation. Empirically, the effect of the stock market on the energy market became significantly greater for the futures risk premium in the period following the 2008 crisis. Furthermore, hedging pressure is a strong explanatory variable for the futures risk premium in various circumstances.     

Machine-Part Cell Formation Problem Using a Group Based League Championship Algorithm

This article proposes a new algorithm for grouping problems that is a grouping version of league championship algorithm (GLCA). We compare the performance of GLCA with several well-known algorithms published in the present literature and select a set of 20 most widely used benchmarks of cell formation sample problems posing as a grouping problem. We used a truncated geometric algorithm to find the number of initial cells. Our computations reveal that GLCA can reach the best-known solution for 17 of the 20 benchmark problems, and improve the solution of three others with a 1.4% average gap.     

Islamic Corporate Governance: Risk-Sharing and Islamic Preferred Shares

The recent financial crises (including the Asian and subprime crises) indicated the need to reinforce corporate governance mechanisms in emerging and developing market economies. Corporate governance refers to all the factors that affect firm processes (including, among others, financing strategies). Firms must avoid debt financing instruments and adopt financing instruments that allow for “risk-sharing” rather than “risk-shifting” because all recent financial crises were, in essence, debt crises. The primary objective of this paper is to examine the principles of risk-sharing promoted by Islamic finance and study their implications for corporate governance. The secondary objective of this paper is to propose a pricing model for a new risk-sharing financial instrument (Islamic preferred shares, IPS) that was recently discussed by Zarka and Al-Suhaibani (Shariah-compatible preference shares: The Sharia Basis and Economic Rationale. Working paper, SABIC Chair for Islamic Financial Market Studies, 2012). We study the implications of this new instrument as a powerful tool for corporate governance in the case of Islamic markets. We explain the possible contribution of IPS to agency cost reduction, Sharia screening costs and ethical corporate governance.