Business & Economics Collected Works - Research Publications
Now showing items 1-12 of 99
The Demand and Supply of Esteem: An experimental analysis
(ELSEVIER SCIENCE INC, 2021-12-01)
We use a laboratory experiment to identify some determinants of variation across individuals in the demand and supply of esteem. Some participants can choose, at a cost, buy ‘credits’ so as to appear to others to have a better performance on a real effort task than they really do: this purchase reflects esteem seeking. The provision of esteem, via a partner's feedback on performance, is also recorded. We find: (i) those with a low willingness to supply effort have a lower probability of purchasing credits, (ii) participants matched with low scoring partners buy more credits (iii) feedback is improved for those purchasing credits.
Projecting innovation in higher education: An Australian study
(Higher Education Research and Development Society of Australasia, 2020)
This paper presents the findings of a preliminary study that reviews the literature detailing the historical trajectory of innovation in higher education. It contextualises this history for the 21st Century university (specifically for its developments in teaching and learning). Against this backdrop, the study interrogates the ontological disconnect of the university serving its community while also being a driver for change. A scoping study and textual analysis of the innovation strategies of all 40 Australian universities is presented. Per conjecturam, the study poses the question; if every university purports to be innovating in teaching and learning, how might a university reconsider its interpretation and representation of innovation in this space so as to become genuinely innovative?
The Evolving Role of Internal Organization Development Offices in Higher Education: Perspectives from Australia and the United States
(Organization Development Network, 2021)
Internal organization development offices, scholars, and practitioners have an important role to play in helping organizations and their leaders navigate the ambiguity, complexity, and disruption posed by the COVID-19 pandemic and in helping them repair, recover, and reinvent for a post-pandemic future. Given the wide range of contemporary challenges and the need for leaders at levels of higher education to engage directly with these challenges, internal organiza¬tion development offices will need to straddle both operational and humanis¬tic imperatives. This article provides an overview of two internal organization development offices—one in Australia and one in the United States—and how these offices have evolved to best meet the short-term and long-term needs of university colleagues.
Stepping up to Teaching in Business: Understanding Teaching Effectiveness for Small Classes
This article provides those teaching in small classes in an Australian tertiary environment with some recommendations on how to get started and tips for effective teaching. The focus of the advice is on small class teaching, which is generally comprised of fewer than 30 students. The tips presented are centred on being organised, understanding your content and your students, generating engagement and norms for participation, as well as investing in adaptable skill development. A seven step process to teaching effectiveness is reviewed. These tips provide teachers with foundational knowledge that can be transferred to teaching large classes.
Academy of Management Journal, 1958-2014: a citation analysis
This paper provides a citation network analysis of publications from the Academy of Management Journal, one of the key US-based journals in the field of Management. Our analysis covers all publications in the journal from 1958–2014. This represents the entire history of the journal until the arbitrary cut-off point of our study. The paper analyses the most published authors, most cited articles, most cited authors, top institutions, and the nationalities of authors that are most represented in the journal. 2304 articles containing 114,550 references were taken from the primary data source, the Web of Science™. An analysis of 114,550 citations was carried out using the Web of Science™ online analytics tool and Excel®. Gephi™, a data visualisation and manipulation software, was used to provide a visual representation of the citation networks. Results indicate that the most published authors within AMJ throughout the journal’s history are Ivancevich, Golembiewski and Hambrick. The three most cited authors within AMJ are Pfeffer, Porter and Thompson. The single most cited article is Pfeffer and Salancik’s 1978 article The external control of organizations: a resource dependence perspective. A keyword analysis revealed that the most important terms used in the journal’s history were ‘Performance’, ‘Organization’ and ‘Work’. Results from this paper extend our previous citation analyses of key journals in the discipline of Higher Education to a new discipline—the field of Management. The paper provides evidence of how visual analyses can help to represent the citation “geography” of a journal over time.
Resilience to Loneliness Amongst Older Adults Living in the Bronx, NY, During the COVID-19 Pandemic
(Oxford University Press, 2020-12-16)
Abstract Older adults may be particularly vulnerable to experiencing loneliness as a result of stay-at-home and social distancing orders during the COVID-19 pandemic. This study evaluated change in loneliness following the COVID-19 outbreak, using a longitudinal design and a validated loneliness measure, in a well-characterized sample who are at heightened risk for COVID-19 due to both age and location. The study included n = 226 older adults aged 70-90 years old, living in the Bronx, New York City, who had completed the 3-item Loneliness Scale prior to and during the peak of the COVID-19 outbreak in New York City. There was no evidence of significant increases in mean loneliness from pre- to post-COVID-19 outbreak. Multiple regression analyses were used to identify risk and protective factors for change in loneliness during the COVID-19 outbreak, adjusting for pre-outbreak loneliness. Living alone, higher levels of education, greater worry about contracting the coronavirus, and limiting of daily exercise activities were risk factors for greater loneliness after the outbreak. In contrast, Black race, older age, greater social support and frequent social interactions via video call, all related to lower levels of loneliness after the outbreak.The outcomes of this study demonstrate substantial resilience among older adults to loneliness in response to the COVID-19 pandemic, and highlight key risk and protective factors that may play an important role in individual differences in loneliness as pandemic-driven isolation continues.
Approaches for Modeling of Intensive Longitudinal Data to Understand Cognitive Aging
(Oxford University Press, 2020-12-16)
Abstract Understanding age-related change in cognition and identification of pathological changes requires sensitive and valid measurement of cognitive performance across time. Technological advances, such as ambulatory assessment of cognition using smartphones, have enabled intensive longitudinal methods where data is collected with many measurements over time. Our research group has developed novel ambulatory assessments that provide reliable, sensitive, and ecologically valid measurement of cognition across multiple timescales; from momentary changes to change across years. This symposium will present a spectrum of approaches to analysis of intensive longitudinal data that can inform models of cognitive aging. All three presentations will draw on data from measurement burst studies that apply our ambulatory cognitive assessment methods in community-based samples (i.e., systematically recruited in the Bronx, New York). For each measurement burst, participants undergo assessment consisting of brief surveys and cognitive tests via smartphone, up to 7 times per day across 14 days. Oravecz et al. will discuss the application of a Bayesian multilevel implementation of the double exponential model to account for retest effects while quantifying change in peak cognitive performance across time. Kang et al., will demonstrate a growth curve modeling approach for assessing the effects of between-person variables (i.e., loneliness) on change in cognition across measurement bursts. Harrington et al., will demonstrate a model-based cluster analysis approach, leveraging ambulatory assessments of subjective and objective cognitive function to unpack latent groups as a function of age and loneliness. Measurement, Statistics, and Research Design Interest Group Sponsored Symposium.