Strategic opportunities: Leveraging decision-making indicators

Politicians tend to use the word opportunity as a catch-all term. This paper is contending that opportunities can be classified as tangible or intangible. Lawmakers do not appear to consider the idea that opportunities are hierarchical or link to a firms’ ability to leverage opportunities. The context for the paper is Brexit and its strategic implications. Furthermore, a hard Brexit will throw up more intangible opportunities than tangible opportunities, which suggests that firms will require different strategies for hard Brexit and soft Brexit environments. This paper suggests that there are two possible dominant strategies available to executives, namely leverage logic and opportunity logic, and the application of the strategies is dependent on the type of Brexit situation. The time horizon to develop and refine the dominant strategies is dependent on the type of Brexit environment, with a hard Brexit requiring the longest time horizon

Performance of commercial corn hybrids in Illinois, 1975, with 1973 and 1974 listings / 1118

Chiefly tables

Studies to detect infection of Lepus californicus melanotis Mearns (black-tailed jack rabbit) with Pasteurella tularensis, Pasteurella pestis, Brucella abortus and Coxiella burnetii

Call number: LD2668 .T4 1960 B6

The Structure and Function of Student Councils in the Elementary Schools of Vancouver, Washington

It was the purpose of this study to compile data concerning the structure and function of student councils in the elementary schools of Vancouver, Washington. This compilation of information will be available to aid educators who are assigned the duties and responsibilities of advising student councils at the elementary level. It will also give the administrators of Vancouver, Washington, who have endorsed elementary councils, an opportunity to ascertain their councils\u27 current structure and function

Development of Dynamic Testing Methods Using Facial Expression Analysis to Evaluate Packaging Design in a Realistic Shopping Environment

80 to 95 percent of all new product launches fail (Dillon, 2011; Copernicus Marketing, Consulting, and Research, 2013). However, businesses can increase the chances of a successful product launch by better understanding consumer preferences and wants. Research done by McKinsey and Company shows that “more than 80 percent of top performers periodically tested and validated customer preferences during the development process, compared to 43 percent of bottom performers” (Gordon et al., 2010). With most purchasing decisions being made at the point of purchase, packaging is the last opportunity for businesses to influence the consumers decision to purchase their product. Packaging evaluation research helps businesses accomplish this goal by assessing packaging design, developing an understanding of the consumer’s perception of the packaged product, and identifying key factors of package design that are underperforming. Biometric devices such as eye tracking, galvanic skin response (GSR), and electroencephalography (EEG), are popular methods that are often used in the packaging industry to quantitatively evaluate the effectiveness of packaging design. However, with the exception of eye tracking, applications for these instruments are limited when it comes too dynamic testing in a shopping environment. Facial expression analysis is another method that has traditionally been limited to static testing environments due to limitations in technology and a lack of methodology developments. This research solves that problem by creating dynamic testing methods that allow for researchers to evaluate packaging design using facial expression analysis in shopping environments. This thesis outlines the step-by-step process of developing dynamic packaging evaluation research methods using facial expression analysis as an analytical tool. The researchers show how to develop the necessary equipment, create a package performance shelf study, integrate software to combine facial expression analysis and eye tracking, and how to statistically analyze and draw conclusions. An example of a shelf performance study is executed that future researchers can use as a reference to develop their own studies using facial expression analysis as a dynamic testing method

Minimal Circuits for Very Incompletely Specified Boolean Functions

In this report, asymptotic upper and lower bounds are given for the minimum number of gates required to compute a function which is only partially specified and for which we allow a certain amount of error. The upper and lower bounds match. Hence, the behavior of these minimum circuit sizes is completely (asymptotically) determined

Dimensions of Motion: Monocular Prediction through Flow Subspaces

We introduce a way to learn to estimate a scene representation from a single image by predicting a low-dimensional subspace of optical flow for each training example, which encompasses the variety of possible camera and object movement. Supervision is provided by a novel loss which measures the distance between this predicted flow subspace and an observed optical flow. This provides a new approach to learning scene representation tasks, such as monocular depth prediction or instance segmentation, in an unsupervised fashion using in-the-wild input videos without requiring camera poses, intrinsics, or an explicit multi-view stereo step. We evaluate our method in multiple settings, including an indoor depth prediction task where it achieves comparable performance to recent methods trained with more supervision.Comment: Project page at https://dimensions-of-motion.github.io

Ethical decision making in a mixed methodological study investigating emotional intelligence and perceived stress amongst Academics

Whereas there appears to be a large body of literature that focuses on ethical concerns within the context of research, there continues to be a feeling of isolation and lack of awareness of ethical guidance and support that leaves researchers to rely on institutional ethical requirements as well as their own ethical principles and previous experience. Consequently, there can be a significant variance in the quality of research. The challenge is that ethical decision making is not a term that can be simply defined, as it appears to include multiple influences such as individual difference, that include personality and environmental factors. As there appears to be no universal consensus, and the definition of ethics is broad, it gives rise to difficulties in defining the term “ethics”. However, it is important that stakeholder rights and dignity are protected. Hence, ethics is an essential component that needs to be addressed when undertaking academic research. The aim of this paper is to discuss the ethical implications associated with the study that investigates the relationship between emotional intelligence and perceived stress amongst 533 academics, helping to add a little more to existing information

Mixed methods - theory and practice. Sequential, explanatory approach

There appears to be a paucity of research undertaken in emotional intelligence in higher education suggesting a gap in which research can be undertaken that can provide new insight and add together with knowledge and understanding. This article discusses a study using sequential, explanatory, mixed methodology, which was undertaken on a sample of 533 academics (those employed by a university full time, part time, and hourly and who may be lecturers, tutors, instructors, researchers). The reason for collecting sequential quantitative and qualitative data into one study brings together two types of information providing greater understanding and insight into the research topics that may not have been obtained analysing and evaluating data separately. The findings from interviews helps explain the findings from quantitative data

The relationship between emotional intelligence and well-being in academic employees

The aim of this study is to investigate the relationships between emotional demands, emotional intelligence and perceived stress in a sample of academic employees. The sample size of 100% (N =533) includes the following: 45.8% (N = 244) are male with a mean age of 48.78 (SD = 10.9) and median of 49; and 54.2% (N = 289) are female with a mean age of 47.29 (SD = 9.78) and median of 48. All academics work for universities in different countries around the world. Instruments associated with managing emotions (Trait emotional intelligence questionnaire- short form, TEIQue-SF) and perceived stress scale (PSS) are used in this study and the findings show that there is an invert relationship between perceived stress scale (PSS) and managing emotions; as PSS reduces managing emotions increases. The findings of this study provide a user-friendly summary that can inform and contribute to theory and future research