Applying the Randomized Response Technique in Business Ethics Research: The Misuse of Information Systems Resources in the Workplace

Mitigating response distortion in answers to sensitive questions is an important issue for business ethics researchers. Sensitive questions may be asked in surveys related to business ethics, and respondents may intend to avoid exposing sensitive aspects of their character by answering such questions dishonestly, resulting in response distortion. Previous studies have provided evidence that a surveying procedure called the randomized response technique (RRT) is useful for mitigating such distortion. However, previous studies have mainly applied the RRT to individual dichotomous questions (e.g., yes/no questions) in face-to-face survey settings. In this study, we focus on behavioral research examining the relationships between latent variables, which are unobserved variables measured by multiple items on Likert or bipolar scales. To demonstrate how the RRT can be applied to obtain valid answers from respondents answering a self-administered online questionnaire with Likert and bipolar scales, we build a behavioral model to study the effect of punishment severity on employees’ attitudes toward misuse of information systems resources in the workplace, which in turn influence misuse behavior. The survey findings meet our expectations. The respondents are generally more willing to disclose sensitive data about their attitudes and actual behavior related to misuse when the RRT is implemented. The RRT’s implications for causal modeling and the advantages and challenges of its use in online environments are also discussed.     

Foreign direct investment in OECD countries: a special focus in the case of Greece

Foreign Direct Investment (FDI) is considered as an important instrument for economic development all over the world. The aim of this paper is to examine the FDI inflows determinants for 24 OECD countries. To this end we employ annual data from 1980 to 2012 for a series of potential FDI determinants that have been identified as the most important by the relevant literature. Our empirical strategy employs both the standard fixed effects panel as well as a dynamic panel approach. The empirical findings highlight the importance of market size, trade openness, unit labor cost, schooling, taxation, gross capital formation, institutional variables, and ROA/ROE as significant FDI determinants. In the case of the dynamic panel model those FDI inflows determinants are not uniform for all country groups. Additionally, the results indicate that corporate tax rates clearly affect FDI attractiveness. This finding is robust when testing different countries subgroups. The present study has important policy implications indicating the factors that host economies should place emphasis on in order to attract FDI inflows. Policy makers should not only pay attention to the corporate tax rate level but they should also design a simple, stable and transparent taxation system that minimizes the relevant business risk.     

BAYESIAN PERSUASION WITH PRIVATE EXPERIMENTATION

This article studies a situation in which a sender tries to persuade a receiver by providing hard evidence that is generated by sequential private experimentation where the sender can design the properties of each experiment contingent on the experimentation history. The sender can selectively reveal as many outcomes as desired. We determine the set of equilibria that are not Pareto‐dominated. In each of these equilibria under private experimentation, the persuasion probability is lower and the receiver obtains access to higher quality information than under public experimentation. The decision quality improves in the sender's stakes.     

Forecasting Intraday Volatility and Value-at-Risk with High-Frequency Data

In this paper, we develop modeling tools to forecast Value-at-Risk and volatility with investment horizons of less than one day. We quantify the market risk based on the study at a 30-min time horizon using modified GARCH models. The evaluation of intraday market risk can be useful to market participants (day traders and market makers) involved in frequent trading. As expected, the volatility features a significant intraday seasonality, which motivates us to include the intraday seasonal indexes in the GARCH models. We also incorporate realized variance (RV) and time-varying degrees of freedom in the GARCH models to capture more intraday information on the volatile market. The intrinsic tail risk index is introduced to assist with understanding the inherent risk level in each trading time interval. The proposed models are evaluated based on their forecasting performance of one-period-ahead volatility and Intraday Value-at-Risk (IVaR) with application to the 30 constituent stocks. We find that models with seasonal indexes generally outperform those without; RV can improve the out-of-sample forecasts of IVaR; student GARCH models with time-varying degrees of freedom perform best at 0.5 and 1 % IVaR, while normal GARCH models excel for 2.5 and 5 % IVaR. The results show that RV and seasonal indexes are useful to forecasting intraday volatility and Intraday VaR.     

Concepts and practices of digital virtual consumption

Despite the popularity of online spaces that simulate aspects of consumption‐like experiences (online virtual worlds, video games and interactive functions on online retailers) conceptual tools that aim to comprehend such consumer practices are yet to emerge. In an effort to better understand them this paper puts forward a taxonomy that may help us capture emerging consumer behavior in the digital virtual terrain in relation to virtual and material consumption. This may be read as a fluid template that considers the movement between what resides in consumer imaginations as ideal or virtual, its actualization in material and now also digital virtual spaces. We then offer examples of the practices that are emerging, specifically the increase in imaginative resources that interactive media provide; practices that actualize probable, everyday commodities and experiences in the digital virtual and practices that actualize fantastic commodities and experiences in the digital virtual. Finally, we discuss the potential for these to produce new consumer subjectivities and new markets, and as a result we conclude with a discussion of the implications of such developments for consumer cultures, noting the potential for both liberatory/celebratory and critical discourse as well as avenues for future research.     

The Case for Accounting Education Research

Pressures on the unit of resources within higher education are noted and the possible implications for assessment practice considered. There is a tension between low-cost and high-quality assessments, yet assessment appears to drive the students' agenda and requires careful thought if the programme design is to lead to high-quality learning outcomes. A theoretical framework is presented with the purpose of developing an assessment strategy which will enhance the quality of learning by the student. A case study of an introductory accounting module is described and issues of teaching, learning and assessment are explored. A message of hope is signalled; it may be possible to foster deep learning through assessments which engage the student actively with the subject, despite the apparent constraints acting upon academics.     

Evaluation of student feedback

We examine a flexible assessment system that allows students to determine the weights allocated to each course component and to re-allocate the weights in response to achieved scores. The flexibility is intended to encourage students’ participation in the learning process, thereby promoting self-regulated learning skills. We compare this assessment system to a traditional system and to another system, in which the students may choose their own weights but cannot change them later in the term. We examine the impact on students’ motivation as measured by the Motivated Strategies for Learning Questionnaire (MSLQ), as well as the impact on grades and students’ attitudes. Our results indicate little improvement in motivation, grades or attitudes when students design and commit to their grading plans early in the term. However, the more flexible system, which allows for re-allocation, appears to improve students’ grades, self-reported motivation and attitudes.     

Matching Temporal Frame,Self-View,and Message Frame Valence: Improving Persuasiveness in Health Communications

This work examines the interplay between temporal frame and one's accessible self-view on consumer response to health communication. We find an independent self-view is more persuasive with a distal temporal frame (versus proximal frame), and an interdependent self-view is more persuasive with a proximal temporal frame (versus distal frame). Message frame valence (gain versus loss) moderates the interplay between temporal frame and self-view. In addition, message concreteness and message persuasiveness are revealed as mediators to the interplay between temporal frame and self-view. Interestingly, the mediating process varies depending on one's accessible self-view. These findings offer guidance for health communication marketers' use of temporal frames and self-view.