Search results

Research in educational administration is in need of a general theoretical perspective which could be used to guide the development of an empirical base for a comprehensive, ecologically valid, theory of administration. This paper presents a description of Roger Barker's Behavior Setting Theory and attempts to argue its utility as a broad‐based conceptual framework for research on educational administration.

With this number the Library Review enters on its ninth year, and we send greetings to readers at home and abroad. Though the magazine was started just about the time when the depression struck the world, its success was immediate, and we are glad to say that its circulation has increased steadily every year. This is an eminently satisfactory claim to be able to make considering the times through which we have passed.

Although biotechnology is thought to offer enormous potential for the future, it is a science that is steeped in history. Professor S.A. Barker, from the Chemistry Department, University of Birmingham, recently described some biotechnological processes which appeared in books published during the previous century

This study examines the effects of congruence and reliability on cause-brand alliance (CBA) program attitudes—exploring how CBA program attitudes and sport entity attitudes affect attitudes toward a sport-related and sport-unrelated brand in a single CBA.

About 240 survey participants answered questions before and after being exposed to information about the NFL Play 60 program. Consistent partial least squares structural equation modeling is utilized to test the hypotheses.

Results suggest both congruence and reliability positively influence CBA program success; and both sport-related and sport-unrelated brands positively affect consumer attitudes when they participate in a CBA with a high-profile sport entity. This occurs directly through CBA program attitudes for a sport-unrelated brand and indirectly through sport entity attitudes for a sport-related brand.

This study extends the CBA literature in sports by showing (1) the role of reliability on CBA program attitudes, (2) the role of sport entity attitudes on other cause partner attitudes and (3) different paths for sport-related versus sport-unrelated brands that are partnered with a premium sport entity to achieve CBA program brand enhancements.

Purpose: Fear of deportation and its relationship to healthcare access has been less studied among immigrant Latinx men who have sex with men (MSM), a population at risk for HIV and characterized by their multiple minority statuses. The first step is to accurately measure their fear of deportation.

Approach: We used an exploratory sequential mixed methods design. Eligibility criteria were that research participants be ages 18–34 years; Latinx; cisgender male; having had sex with another male; residing in the District of Columbia metro area; and not a US citizen or legal permanent resident. In Study 1, we used in-depth interviews and thematic analysis. Using participants' interview responses, we inductively generated 15 items for a fear of deportation scale. In Study 2, we used survey data to assess the scale's psychometric properties. We conducted independent samples t-test on the associations between scale scores and barriers to healthcare access.

Findings: For the 20 participants in Study 1, fear of deportation resulted in chronic anxiety. Participants managed their fear through vigilance, and behaviors restricting their movement and social network engagement. In Study 2, we used data from 86 mostly undocumented participants. The scale was internally consistent (α = 0.89) and had a single factor. Those with higher fear of deportation scores were significantly more likely to report avoiding healthcare because they were worried about their immigration status (p = 0.007).

Originality: We described how fear of deportation limits healthcare access for immigrant Latinx MSM.

Research implications: Future research should examine fear of deportation and HIV risk among immigrant Latinx MSM.

This paper presents an experimental study that examined the effects of cross‐cultural instruction on the interpersonal job skills of students in secondary vocational programs. The findings indicated that students receiving the cross‐cultural instruction had significantly higher generalizable interpersonal relations skills achievement than students not receiving the instruction. It was recommended that cross‐cultural instruction be integrated into vocational and industrial training curriculum, including instructor training. Trainers should assist trainees in associating cultural awareness to their personal and professional success. A model is offered as a guide for developing generalizable interpersonal skills training materials for a diverse workplace. The model defines culture broadly, including gender and age. Examination of cultures within which the trainees are most familiar may assist in the understanding of more diverse differences between ethnic groups.

Presents a study that examined the effects of cross‐cultural instruction on the interpersonal job skills of students in secondary vocational programs. The population consisted of a treatment and a control group, with 65 students in each group. A pretest and posttest was administered. The experimental group received the intervention during a six‐week period. The dependent variable was generalizable interpersonal relations skills as measured by the generalizable interpersonal relations skills performance assessment. The independent variables included a cross‐cultural instructional intervention, gender, ethnicity, and school. The findings indicated that students receiving the cross‐cultural instructional intervention had significantly higher generalizable interpersonal relations skills achievement than students not receiving the intervention. Recommends that cross‐cultural instruction be integrated into vocational and industrial training curricula, including instructor preservice and inservice training. Also, trainers should closely link the benefits of cultural awareness to learners’ experiences at home and the work place; and to their personal and professional success.

With the help of “self-learning” algorithms and high computing power, companies are transforming Big Data into artificial intelligence (AI)-powered information and gaining economic benefits. AI-powered information and Big Data (simply data henceforth) have quickly become some of the most important strategic resources in the global economy. However, their value is not (yet) formally recognized in financial statements, which leads to a growing gap between book and market values and thus limited decision usefulness of the underlying financial statements. The objective of this paper is to identify ways in which the value of data can be reported to improve decision usefulness.

Based on the authors' experience as both long-term practitioners and theoretical accounting scholars, the authors conceptualize and draw up a potential data value chain and show the transformation from raw Big Data to business-relevant AI-powered information during its process.

Analyzing current International Financial Reporting Standards (IFRS) regulations and their applicability, the authors show that current regulations are insufficient to provide useful information on the value of data. Following this, the authors propose a Framework for AI-powered Information and Big Data (FAIIBD) Reporting. This framework also provides insights on the (good) governance of data with the purpose of increasing decision usefulness and connecting to existing frameworks even further. In the conclusion, the authors raise questions concerning this framework that may be worthy of discussion in the scholarly community.

Scholars and practitioners alike are invited to follow up on the conceptual framework from many perspectives.

The framework can serve as a guide towards a better understanding of how to recognize and report AI-powered information and by that (a) limit the valuation gap between book and market value and (b) enhance decision usefulness of financial reporting.

This article proposes a conceptual framework in IFRS to regulators to better deal with the value of AI-powered information and improve the good governance of (Big)data.