The effects of power on consumers’ evaluation of a luxury brand's corporate social responsibility

This paper examines how power affects consumers’ responses to corporate social responsibility (CSR) initiatives of luxury brands. The results of three studies show that high‐power individuals evaluated a luxury brand's CSR campaign more positively than low‐power individuals. High‐power individuals viewed CSR activities as being more fluent than low‐power individuals. This study further demonstrates that power influences consumers’ responses to nonluxury brand's CSR activities. Low‐power individuals, who are more receptive to warmth, evaluated nonluxury brand's CSR more favorably rather than high‐power individuals.     

Determinants of students’ entrepreneurial intention to compete in a fast-pitch competition

Despite the heightened popularity of entrepreneurship education, there remain open questions regarding best practices in co-curricular programs. Using the theory of planned behavior, the authors examine how students’ intention is shaped to increase the likelihood of participation in entrepreneurship co-curricular programs. To the best of the authors’ knowledge, this study is the first to examine the relation between entrepreneurial identity and entrepreneurial intention theory. They find the popular personality trait, openness, is related to ambition, which reveals the interaction between personal elements (personality/identity) and contextual elements (aspirations to success/intention), a novel finding in the literature. This further illustrates the interconnectedness between the theory of planned behavior and the entrepreneurial event model     

Business ethics,economic development and protection of the environment in the new world order

The end of the cold war has elevated environmental issues to the highest level of concern for humanity while creating a world order dominated by the United States of America and other Western nations. This new power structure may likely lead to increased business activity in many parts of the world, as nations formerly preoccupied with the cold war turn their attention to economic development. This paper examines the linkages among ethics, economic development and protection and restoration of the environment in The New World Order.Emily F. Carasco is Associate Professor at the Faculty of Law of the University of Windsor. Her research focus is on international law and family law.Jang B. Singh is Associate Professor at the Faculty of Business Administration of the University of Windsor. His research focus is on ethical issues involved in the management process.     

Pandemic risk disclosure in integrated reports: after COVID-19 is hindsight 2020?

We examine whether, and to what extent companies disclosed pandemic risk and likely impact as part of their key risks or material matters immediately prior to 2020. The integrated/annual reports of 489 companies from six global regions were examined, finding that despite clear warnings from multiple fronts that highlighted the inevitability and imminence of a global pandemic, only 15.5 percent of companies disclosed anything related to pandemic risk. Of these, 71.1 percent were boilerplate in nature, providing minimal useful information to stakeholders. This study contributes to our understanding of integrated reporting, specifically regarding the adequacy of the disclosure of material risks.     

Traders’ choice between limit and market orders: evidence from NYSE stocks

In this paper, we examine a trader's order choice between market and limit orders using a sample of orders submitted through NYSE SuperDot. We find that traders place more limit orders relative to market orders when: (1) the spread is large, (2) the order size is large, and (3) they expect high transitory price volatility. A rise in informational volatility appears neither to increase nor decrease the placement of limit orders. We also find that a rise in lagged price volatility decreases the size of spread, which is driven by the increase in the placement of limit orders.     

企业组织变革中的冲突管理研究

中国的企业面临前所未有的复杂的市场环境。组织重组,组织流程再造,公司股权体制改革……企业或多或少都在进行这样或那样的组织变革,在变革过程中,冲突的产生是不可避免的。对于变革中的冲突应该怎样进行有效的管理是关系到变革成败的重大问题。本文指出应该区分变革过程中的建设性冲突和破坏性冲突,并针对不同类型的冲突采用与之相适应的冲突管理方式。     

Moments of renewal shot-noise processes and their applications

In this paper, we study the family of renewal shot-noise processes. The Feynmann–Kac formula is obtained based on the piecewise deterministic Markov process theory and the martingale methodology. We then derive the Laplace transforms of the conditional moments and asymptotic moments of the processes. In general, by inverting the Laplace transforms, the asymptotic moments and the first conditional moments can be derived explicitly; however, other conditional moments may need to be estimated numerically. As an example, we develop a very efficient and general algorithm of Monte Carlo exact simulation for estimating the second conditional moments. The results can be then easily transformed to the counterparts of discounted aggregate claims for insurance applications, and we apply the first two conditional moments for the actuarial net premium calculation. Similarly, they can also be applied to credit risk and reliability modelling. Numerical examples with four distribution choices for interarrival times are provided to illustrate how the models can be implemented.     

Why Do People Leave? a Study Of Nonsupervisory Restaurant Employees’ Polychronic Time Use Preference and Turnover Intention

ABSTRACT

The purpose of the study was to present a comprehensive view on the associations among polychronicity, job satisfaction, work engagement, and turnover intention within a restaurant context. Using a sample of 252 servers in full-service restaurants, structural equation modeling results found that polychronicity positively linked with job satisfaction, work engagement, and turnover intention. An indirect effect from polychronicity to job satisfaction to turnover intention was found. Results can assist restaurant managers in selecting candidates that best fit their organization. It will also assist employees in determining which career path best matches their personality traits.     

A Filtering Process to Remove the Stochastic Component from Intraday Seasonal Volatility

The intraday seasonal variance pattern contains stochastic as well as deterministic components. Therefore, the estimation of information arrivals in the associated volatility process requires the proper filtering of both of these seasonal components. However, popular current models remove only the deterministic part of the typical U‐shape volatility. Here, we provide the first empirical results of the importance of the stochastic component, as developed by Cho and Daigler (2012). We show that a highly significant additional 8.5% to 12.9% of the total seasonal variance is explained by the stochastic seasonal variance component for S&P500 futures, live cattle futures, and the Japanese yen‐U.S. dollar spot exchange rate. Moreover, we show that the stochastic seasonal filtering model implemented here does not create any statistical distortions of the filtered series, as occurs with deterministic‐based seasonal adjustment processes, as well as comparing the model examined here with the most popular current deterministic model. As part of our analysis we examine the application of the model to macroeconomic news and out‐of‐sample results for the model. © 2012 Wiley Periodicals, Inc. Jrl Fut Mark 34:479–495, 2014     

Personalized goal-based investing via multi-stage stochastic goal programming

In this paper, we propose a goal-based investment model that is suitable for personalized wealth management. The model only requires a few intuitive inputs such as size of wealth, investment amount, and consumption goals from individual investors. In particular, a priority level can be assigned to each consumption goal and the model provides a holistic solution based on a sequential approach starting with the highest priority. This allows strict prioritization by maximizing the probability of achieving higher priority goals that are not affected by goals with lower priorities. Furthermore, the proposed model is formulated as a linear program that efficiently finds the optimal financial plan. With its simplicity, flexibility, and computational efficiency, the proposed goal-based investment model provides a new framework for automated investment management services.