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Online investment platforms offer an environment that may lead some traders into excessive behaviors akin to gambling. Over the last decade, gambling behaviors associated with the stock market have attracted the attention of many researchers but the literature on the subject remains scarce. This study aims to present the results of live interviews with a sample (N = 100) of retail investors trading online, and contrasts trading habits with gambling behaviors.

Participants are divided in three groups according to their score on an adapted version of the Problem Gambling Severity Index (referred to as the PGSI-Trading), and their trading habits and behaviors are compared.

The authors find that traders with higher PGSI-Trading scores are more likely to display gambling-related behaviors such as trading within a short timeframe, being motivated by making money quickly and experiencing high sensations when trading.

The sample is small but the authors proceeded this way in order to gather some qualitative data that would be helpful to clinicians in the Province of Quebec. The questionnaire used to classify traders at risk of being gamblers (PGSI-Trading) has not been validated.

The findings of this study will be helpful to clinicians who hwork with patients suffering from excessive online stock trading habits.

Clinicians observe an increasing number of patients who consult with excessive stock trading habits. This study has brought new information allowing clinicians to better understand how gambling manifests itself on the stock market.

To the authors’ knowledge, this study is the first to investigate the trading habits of individuals classified in terms of their score on an adapted PGSI questionnaire.

The purpose of this paper is twofold. The first is to estimate the correlation between market activity and volatility on an exchange that does not use continuous auctions to find prices. The second is to estimate the sensitivity of that relationship to differences in opinions across traders regarding asset value.

Both objectives are accomplished by using seven years of trader‐level data from the Tokyo Grain Exchange, which uses rapid sequences of Walrasian tâtonnement auctions to discover prices. On the TGE, only one futures contract trades at any given time and all of a commodity's futures contracts are auctioned in a rapid sequence, with only seconds between a sequence's auctions. The results are interpreted under the hypothesis that this design causes traders' beliefs to become more accurate and more uniform as a sequence progresses.

Intraday volume is u‐shaped while intraday volatility is downward sloping. The volume–volatility link is positive and stays constant or strengthens as traders' beliefs about value become more precise. The link is driven by trades originating from small futures commission merchants, especially those trades entered on behalf of customers.

Evidence that accounting for cross‐correlations when estimating volatility can have an important effect on estimates is presented. Researchers are encouraged to further explore the implications of cross‐correlations.

The paper includes implications for existing theory, the measurement of volatility, and the design of central exchanges.

This paper uses the TGE as a natural laboratory to test theory. It is the first such study to use data from an exchange that does not use continuous auctions, and the first to document the simultaneous existence of u‐shape volume and downward‐sloping volatility.

The market for insuring insect damage is far from complete. This study introduces a new type of derivative instrument‐insect derivatives‐that provide growers a market‐based means of transferring insect risk to speculators or others who may profit from higher insect populations. A risk‐neutral valuation model is developed and applied to Bemisia tabaci population data. Economic simulation models show how insect derivatives can improve risk‐return results for a representative cotton farm in the Imperial Valley of California. The results suggest that insect derivatives may become important risk management tools for a wide range of growers.

During the 1990s, the rate of consolidation among agricultural cooperatives, including mergers, acquisitions, strategic alliances, and joint ventures, increased significantly. While post‐merger performance has been examined extensively for investor‐owned firms, this has not been the case for agricultural cooperatives, primarily because these firms do not have an explicit profit motive or publicly traded stock. Results from a two‐stage econometric model reveal that a major motivation for cooperatives to engage in these activities is to circumvent capital constraints. Furthermore, the decision to merge and financial performance are jointly endogenous, with profitability positively influenced and sales growth negatively influenced by the likelihood of merger.

The purpose of this paper is to introduce this special issue, which contains selected papers from the 13th Annual European Learning Styles Information Network (ELSIN) conference held in Ghent, Belgium in June 2008. One of the key aims of ELSIN is to promote understanding of individual learning and cognitive differences through the dissemination of international multidisciplinary research about learning and cognitive styles and strategies of learning and thinking.

Three papers within this special issue consider how style differences can inform the development of e‐learning opportunities to enhance the learning of all (Vigentini; Kyprianidou, Demetriadis, Pombortsis and Karatasios; Zhu, Valcke and Schellens). The influence of culture on learning is also raised in the paper of Zhu et al. and those of Sulimma and Eaves which both focus more directly on cultural influences on style, learning and teaching.

A number of key themes permeate the studies included in this special edition such as: the nature of styles; the intrinsic difficulty of isolating style variables from other variables impacting on performance; inherent difficulties in choosing the most appropriate style measures; the potential of e‐learning to attend to individual learning differences; the role of culture in informing attitudes and access to learning; the development of constructivist learning environments to support learning through an understanding of individual differences and most importantly how one can apply such insights about individual differences to inform and enhance instruction.

The papers in this special issue contribute to enhanced knowledge about the value of style differences to design constructive learning environments in multicultural and e‐learning contexts.

The 2005 APSR article by John Alford, Carolyn Funk, and John Hibbing presented data from the Virginia 30,000 Health & Lifestyle Questionnaire (VA30K), AARP twin studies, and an Australian twin study (ATR) to test their hypothesis that political attitudes are influenced by genetic as well as environmental factors. Political attitudes, they suggested, were expected to be highly heritable and particularly so on issues most correlated with personality. They employed survey responses from the Wilson–Patterson Attitude Inventory to measure political attitudes. To gauge heritability, they utilize the 2:1 genetic ratio between monozygotic (MZ) and dizygotic (DZ) twins. The authors argued that while previous studies in political attitudes had concentrated on measuring the influence of environmental variables, their test added explanatory power by considering heritability (Alford, Funk, & Hibbing, 2005).

One of the common law duties owed by the employer is his duty to take reasonable care for the safety of his employee. This common law duty is an implied term in the contract of employment and is therefore contractual in nature. Because of the difficulties which may arise in bringing an action in contract for breach of the employer's duty of care, the employee who has sustained injuries during the course of his employment (although he may sue either in contract of tort will normally bring a tort action.

The purpose of this paper is to present details of a study investigating learning styles differences of Thai students in England compared to local students in England and Thailand. It also discusses key issues in using learning styles in multicultural and international education, given their wide availability online.

A mixed methods design is used, including a psychometric approach using Vermunt's Inventory of Learning Styles (ILS) with three postgraduate Business student samples – Thai (in England, n=26), European (in England, n=16) and Thai (in Thailand, n=122) and a qualitative approach using focus groups, interviews and open‐ended questionnaires with the Thai (in England, n=43) sample only.

One‐way independent analysis of variance analyses on ILS scores show that learning styles differ significantly between the three samples on each of the test occasions, particularly in meaning‐directed learning and undirected learning. The qualitative data analysis shows that Thai students in England perceive culturally‐determined differences in teaching and learning behaviour between Thai and English higher education environments that can cause difficulties for them.

The use of mixed methods gives data of greater breadth and depth than a single method; however, the sample sizes are somewhat limited.

Thai students in England require additional support from educators and educational institutions.

This paper provides a valuable insight into the learning styles and needs of Thai students in England, given the paucity of research in this area.

The purpose of this paper is to provide practical knowledge on how to repair trust within inter-organisational relationships (IORs), and to compare that knowledge to present academic research. IORs have an alarming failure rate upwards of 60 per cent. Although the breakdown of trust is a well-documented critical component of their failure, specific research on IOR trust repair is limited.

The research applied a ranked Delphi study utilising UK professionals’ expertise in IOR management.

The results provide two practical frameworks and several new methods for IOR trust repair; furthermore, they demonstrate consistency between professionally adopted IOR trust repair methods and those proposed academically.

The study ' s primary limitations resulted from being conducted at the lower end of its operating window, and only with panellists interested in trust repair. The implications for research are to direct investigations to the new IOR trust repair methods and to test when professionals would undertake trust repair methods.

The IOR trust repair frameworks can be utilised retrospectively as a tool kit to repair damaged relationships. Additionally, they can be proactively embedded in IOR contract documentation, whereby parties agree to enact and abide by the frameworks, should relations deteriorate, before proceeding down legal avenues.

This paper offers the first contribution from the UK professional community on IOR trust repair; they have provided new research areas for academics as well as practicable, pertinent frameworks for professionals.