Employee post‐training behaviour and performance: evaluating the results of the training process

Despite the fact that firms invest in training, there is considerable evidence to show that training programmes often fail to achieve the intended result of improving worker and organization performance. The purpose of this paper is to examine the medium‐ to long‐term effects of training programmes on firms by means of an integrated research model combining the principal factors that the existing literature has shown to be related to training transfer and also by examining the relationship between training transfer and operational performance. The transfer factors chosen are training design, trainee self‐efficacy and work environment. The validity of this model is tested by applying the structural equation modelling approach to data from 126 employees who have participated in various training programmes in a number of Greek organizations. The results indicate that the design of a training programme has the strongest impact on post‐training job performance, along with trainees' self‐efficacy and post‐training behaviour.     

Green Consumption Behavior Antecedents: Environmental Concern,Knowledge, and Beliefs

The present study adds to the evolving literature on green consumer behavior by examining through statistically robust methods the effect and interrelationships of the key constructs of environmental concern, consumer environmental knowledge, beliefs about biofuels, and behavioral intention (i.e., willingness to use and pay) in the context of biofuels. Data were collected through a survey of 1695 respondents. Hypotheses are based on a literature review and a pilot study, and the conceptual structural model developed is tested through structural equation modeling. Results show that concern for the environment has a positive and direct impact on environmental knowledge, beliefs, and behavioral intention. Also, demographics determine levels of concern for the environment and environmental knowledge. All constructs associate positively with one another delineating that the interdependencies between them are important when accounting for environmental behavior. Future research should validate present results with the use of cross‐cultural samples and investigate whether environmental concern increases due to social desirability response bias.     

Developing a Country‐wide Tourist Loyalty Scheme: A Barren Landscape

Loyalty programs, popular in today's competitive business environment, have been capturing the attention of the tourism industry since the mid 80's. While many segments of the industry have successfully utilized loyalty programs, the development of a country‐wide loyalty scheme still poses major challenges. Reflecting the findings of an extensive mixed methods research, the paper set out to empirically investigate tourists' willingness to participate in a country‐wide loyalty scheme, define the incentives they expect from such a scheme, and, explore the perceptions of hospitality stakeholders towards this potential development. Findings are of interest to both academic scholars and industry stakeholders. Copyright © 2016 John Wiley & Sons, Ltd.     

Broadband business by utilities infrastructure exploitation: A multistage competition model

A promising broadband business opportunity is the exploitation of the physical resources owned by municipalities and utility-based firms. In this study, the new broadband business opportunities owned by these authorities are analyzed through the development of a decision analysis model. The proposed model analyzes the broadband business into stages, integrates real options and game theory and provides business equilibrium in terms of the time of entry in the market, quantity offer and price definition. Finally, a real world case study is discussed showing how the model can be applied.     

Attitudes toward ads portraying women in decorative roles and female competition: an evolutionary psychology perspective

The portrayal of women in advertising is a prolific research topic and extant studies have emphasized the negative attitudes of female consumers toward stereotypic depictions of women in advertising in general. However, empirical evidence regarding female consumers’ responses to specific ads depicting women in decorative roles is scarce and conflicting. Drawing on the principles of evolutionary psychology, the present paper proposes that women's attitudes toward such ads are underlied by the evolved context-sensitive mechanism of intrasexual competition. Relevant hypotheses are tested through two experimental studies. The findings indicate that decorative portrayals in advertising elicit more favorable attitudes when female consumers compete through a self-promotion strategy with regard to a competitor derogation one. Additionally, the temporal orientation of self-referencing during ad processing emerges as a moderator of the influence of the motivational state elicited by the medium context on attitudes.     

Personal values of accountants and accounting trainees in Cyprus

Accountants are neither devoid of ethical dilemmas nor are they immune from financial scandals. In order to improve the credibility of the profession, it is important to study the personal values that qualified and trainee accountants consider important. Using Maccoby's instrument, which measures ‘head’ and ‘heart’ values, qualified accountants (chartered and certified) and trainee accountants were surveyed for the first time in a European Union member country (Cyprus) to ascertain their character ethical traits/personal values. Accountants were found to value ‘head’ more than ‘heart’ traits and there were no gender differences. For male respondents, age and years of professional experience were significant correlates of the importance attributed to head traits, while having religious beliefs was associated with valuing heart traits more. Finally, the implications for accounting education and the professional bodies are considered.     

Model Uncertainty,Ambiguity and the Precautionary Principle: Implications for Biodiversity Management

We analyze ecosystem management under ‘unmeasurable’ Knightian uncertainty or ambiguity which, given the uncertainties characterizing ecosystems, might be a more appropriate framework relative to the classic risk case (measurable uncertainty). This approach is used as a formal way of modelling the precautionary principle in the context of least favorable priors and maxmin criteria. We provide biodiversity management rules which incorporate the precautionary principle. These rules take the form of either safety margins and minimum safety standards or optimal harvesting under precautionary approaches.     

Career satisfaction and future intentions in the hospitality industry: An intrinsic or an extrinsic proposition?

Job satisfaction is probably one of the most researched topics in the hospitality literature and, whereas career satisfaction, defined as the gratification with the accumulation of career-related experiences over time, has received much less attention. With the intention of enhancing our conceptual understanding and adding to this discourse, this study aims to investigate the effects of both intrinsic and extrinsic job traits on the individual's career satisfaction and subsequent intention to remain in the hospitality industry. The study investigates individuals working as full time employees in hotel establishments in Cyprus. Findings, some of which challenge existing theoretical paradigms, are of interest to stakeholders both in the industry and the academic community.     

Towards an early warning system for sovereign defaults leveraging on machine learning methodologies

In this study, we address the topic of credit risk stemming from central governments from a technical point of view. First, we explore various econometric and machine learning techniques to build an enhanced sovereign rating system that effectively differentiates the risk of default among countries. Our empirical results indicate that the machine learning method of XGBOOST has a superior out-of-sample and out-of-time predictive performance. Then, we use the models developed to calibrate a sovereign rating system and provide useful insights into the set-up of a parsimonious early warning system. Our results provide a more concise view of the most robust method for classifying countries’ default risk with significant regulatory implications, given that the efficient assessment of sovereign debt is crucial for effective proactive risk measurement.