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The purpose of this paper is to determine whether students perceive grade inflation as a problem. It questions whether differences exist in perceptions based upon gender and grade point average (GPA).

Previously validated scales were used to assess perceptions. The sample included 108 full-time traditional-aged undergraduate students from a private university.

Students do not believe A grades are given more than deserved; however, they believe some receive higher grades than deserved. Grades are seen as an accurate reflection of achievement. Neither gender nor GPA differences were found on grade inflation perceptions, although women believe faculty give higher grades to receive better student evaluations.

This paper combines student perceptions about grade inflation and analysis by gender and GPA.

The purpose of this paper is to examine whether there is significant evidence that hedge fund managers engage in deceptive manipulation of their reported performance results.

A model of hedge fund performance has been developed using standard regression analysis incorporating dependent lagged variables and an autoregressive process. In addition, the extreme bounds analysis technique has been used to examine the robustness and sensitivity of the explanatory variables. Finally, the conditional influence of the global stock market’s returns on hedge fund performance and the conditional return behavior of the Hedge Fund Index’s performance have been explored.

This paper begins by identifying a model of hedge fund performance using passive index funds that is well specified and robust. Next, the lag structure associated with hedge fund returns has been examined and it has been determined that it seems to take the hedge fund managers two months to integrate the global stock market’s returns into their reported performance; however, the lagged variables were reduced from the final model. The paper continues to explore the smoothing behavior by conditioning the dependent lagged variables on positive and negative returns and find that managers are conservative in their estimates of positive performance events, but, when experiencing a negative result, they seem to attempt to rapidly integrate that effect into the return series. The strength of their integration increases as the magnitude of the negative performance increases. Finally, the performance of returns for both the Hedge Fund Index and the passive indices were examined and no significant differences between the conditional returns were found.

The results of this analysis illustrate that hedge fund performance is not all that different from the performance of passive indices included in this paper, although it does offer investors access to a unique return distribution. From a management perspective, we are reminded that we need to be cautious about hastily arriving at conclusions about something that looks different or feels different from everything else, because, at times, our preconceived notions will cause us to avoid participating in something that may add value to our organizations. From an investment perspective, sometimes having something that looks and behaves differently from everything else, improves our investment experience.

This paper provides a well-specified and robust model of hedge fund performance and uses extreme bounds analysis to test the robustness of this model. This paper also investigates the smoothing behavior of hedge fund performance by segmenting the returns into two cohorts, and it finds that the smoothing behavior is only significant after the hedge funds produce positive performance results, the strength of the relationship between the global stock market and hedge fund performance is more economically significant if the market has generated a negative performance result in the previous period, and that as the previous period’s performance becomes increasingly negative, the strength of the relationship between the Hedge Fund Index and the global stock market increases.

The US apparel industry continues to be a large, mature industry that is intensely competitive. It is also highly fragmented and is undergoing restructuring and operational changes that further accentuate past trends. The principal drivers of change continue to be the increasing levels of low‐cost imports, but also include dramatic changes in retailing following consolidation of the retail sector, new technology, changing work habits and demographic changes (principally the ageing of the baby boomers). In addition, trade and tax legislation that confers special status on firms operating in certain Caribbean countries has resulted in the growth of outward processing that in turn has led to further domestic firm operational restructuring.

Technology for training military teams has evolved through a convergence of advances in simulation technology for individual and collective training, methods for analyzing teamwork and designing training solutions, and intelligent tutoring technologies that adapt training to the student, to accelerate learning. A number of factors have slowed this evolution toward intelligent team tutoring systems (ITTS), including the challenges of processing communications data, which are the currency of teamwork, and the paucity of automated and generalizable measures of team work. Several systems fulfill a subset of the features required of an ITTS, namely the use of team training objectives, teamwork models, measures of teamwork, diagnostic capability, instructional strategies, and adaptation of training to team needs. We describe these systems: the Advanced Embedded Training System (AETS), Synthetic Cognition for Operational Team Training (SCOTT), the AWO Trainer, the Benchmarked Experiential System for Training (BEST), and the Cross-Platform Mission Visualization Tool. We close this chapter with recommendations for future research.

A growing body of research outlines how to best facilitate and ensure methodological rigor when using dictionary-based computerized text analyses (DBCTA) in organizational research. However, these best practices are currently scattered across several methodological and empirical manuscripts, making it difficult for scholars new to the technique to implement DBCTA in their own research. To better equip researchers looking to leverage this technique, this methodological report consolidates current best practices for applying DBCTA into a single, practical guide. In doing so, we provide direction regarding how to make key design decisions and identify valuable resources to help researchers from the beginning of the research process through final publication. Consequently, we advance DBCTA methods research by providing a one-stop reference for novices and experts alike concerning current best practices and available resources.

The purpose of this chapter is to explore whether and how angel investors’ emotions unfold in the investment opportunity evaluation process as they interact with the social environment. Complementing recent research that has emphasized the financial calculations, we add angel investors’ own emotional arousal to the list of tools that may help them to rate investment opportunities.

Drawing on semi-structured qualitative interviews, we develop a phenomenological analysis of the investment opportunity evaluation process at the level of angel investors’ lived experience.

Our findings indicate that when angel investors use their emotional arousal in evaluating investment criteria, they engage in a developmental process characterized by three elements: subjective validation, social validation, and investment decision.

We illuminate how discrete emotions can complement rational considerations in the opportunity evaluation journey. Capturing the nature of emotion as action oriented, embodied, socially situated, and distributed, we embrace its adaptive socially situated dynamics.

Taking a step toward better understanding of the soft aspects in the relationship development that leads to investments, we hope this study will help not only those entrepreneurs who need funding but also those policymakers who design new incentives that improve the flow of investment into promising new ventures.

We demonstrate how angel investors’ emotions can complement their rational considerations in the investment opportunity evaluation process as they interact with the social environment. Identifying boundary values for the conditions that are necessary and sufficient to advance in the process, we have demonstrated how emotion can serve as a driving or restraining force not only during subjective validation but also during social validation.

Increasing and maintaining the population’s consumption of healthful food may hinder the global obesity pandemic. The purpose of this paper is to empirically test whether it is possible for healthful sub-brands to achieve higher consumer behavioural loyalty than their less healthful counterparts.

The study analysed three years of consumer panel data detailing all purchases from five consumer goods categories for 15,000 UK households. The analysis uses best-practice techniques for measuring behavioural loyalty: double jeopardy, polarisation index, duplication of purchase and user profile comparisons. Each sub-brand’s healthfulness was objectively coded.

Despite the level of healthfulness, all sub-brands have predictable repeat purchase patterns, share customers as expected and have similar user profiles as each other. The size of the customer base, not nutrition content, is, by far, the biggest determinant of loyalty levels.

Consumers do not show higher levels of loyalty to healthful sub-brands, or groups of healthful sub-brands. Nor do they buy less healthful sub-brands less often (as a “treat”). There are also no sub-groups of (health conscious) consumers who would only purchase healthful options.

Sub-brands do not have extraordinarily loyal or disloyal customers because of their healthfulness. Marketers need to focus on growing sub-brands by increasing their customer base, which will then naturally grow consumer loyalty towards them.

This research brings novel evidence-based knowledge to an emerging cross-disciplinary area of health marketing. This is the first study comparing behavioural loyalty and user profiles towards objectively defined healthful/less healthful sub-brands.

This paper aims to examine the effect of new product launch actions and firm reputation on firm performance in the Chinese auto industry.

This analysis adopts empirical data from 66 auto firms in China’s auto market from 2007 to 2012 to explore how new product launch actions undertaken by a firm can contribute to achieving superior performance and to investigate the relationships between new product launch actions and firm performance. Moreover, how firm reputation interacts with new product launch actions to affect firm performance is also investigated. Fixed effects regression model following the Hausman specification test was used to quantitatively examine the relationship.

It was concluded that the focal firm’s new product launch actions, including new product launch breadth, complexity and heterogeneity of its new repertoire of product launch actions, and firm reputation can impact its performance. Firm reputation can impact the signaling process and the capability of firms to enhance their performance via new product launch movements.

This research contributes to new product launch research by providing a more comprehensive view of competitive dynamic actions by which a firm’s performance is strengthened by examining the effects of two factors that affect performance. These factors are as follows: the characteristics in terms of breadth, complexity, and heterogeneity of new product launch actions undertaken by a firm and the characteristic of firm reputation.

The inability to touch products online is the top reason consumers list for preferring to shop in traditional brick and mortar versus e-commerce stores (Havas Worldwide, 2013). Need for touch (NFT) comprises autotelic and instrumental motives, which, respectively, relate to enjoyment and utility. This study aimed to examine how consumers’ NFT motives affect loyalty intentions toward e-commerce websites, both directly and as mediated by consumers’ level of technology acceptance (ease of use, enjoyment and perceived usefulness [PU]). The moderating effect of synchronous versus asynchronous two-way communication with sellers on the relationships among consumers’ NFT, acceptance of technology and loyalty intention was also examined.

An online survey was conducted among consumers who had shopped from popular e-commerce websites chosen by this study within the 12 months prior to data collection.

Both types of NFT motives affected loyalty and technology acceptance. Specifically, autotelic NFT positively impacted perceived ease of use (PEOU) and perceived enjoyment (PE), whereas instrumental NFT negatively impacted PEOU, PE and loyalty intentions. Among the technology acceptance variables, PU had the strongest effect on loyalty intention. Tests of moderation revealed that high-quality, text-based synchronous communication (i.e. live chatting) with sellers can compensate for both autotelic and instrumental NFT.

This research shows how the inherent inability of e-commerce to meet consumers’ NFT stymies consumers’ e-commerce acceptance and affects their loyalty toward online retailers and examines strategies that e-commerce sites can use to compensate for this need.

This study aims to investigate how employee perspectives on the role of business, specifically capitalist beliefs, affect the corporate social responsibility (CSR)–reputation–employee behavior relationship.

A conceptual model was developed, and to test the model empirically, survey data were collected over two phases from 192 working professionals. Data were analyzed in SAS using Hayes’s PROCESS approach.

Results of this study reveal that the positive employee outcomes (i.e. affective commitment and reduced turnover intentions), resulting from CSR, through perceived employer reputation (i.e. an employee’s perception of how others view their firm), are diminished when employees have strong capitalist beliefs.

Building on the signaling and person–organization fit literatures, this study highlights the theoretical and managerial importance of recognizing employees’ ideological differences as well as the value of considering employee perceptions of reputation. Although many stakeholders value social responsibility, not all do, and a firm’s intended outcomes will vary depending on employees’ beliefs.

This study demonstrates that CSR not only affects institutional-level corporate reputation, as previously studied, but also affects employees’ behaviors through “perceived employer reputation”, or employee beliefs about how other stakeholders perceive the firm. Moreover, this study highlights the importance of understanding employee differences, including ideological differences, prior to engaging in certain types of CSR.