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Academic Journal
Management

“Time after Time: A daily diary examination of leadership’s sequential impact on flow experiences”

We examine the nexus of leadership and flow through the lens of two inherently positive psychological leadership approaches. In so doing, we examine how leaders can craft conditions to make work more conducive to followers’ flow, and the beneficial effects this has on well-being and performance. Data were collected from 40 employees who completed an initial survey and subsequent daily surveys over two weeks (273 data points). Results from hierarchical linear modeling (level-1 days; level-2 persons) suggest that transformational leaders and leader-member exchange (LMX) relationships impact employees’ work characteristics, subsequently impacting daily flow. In turn, followers’ daily flow predicted daily psychological well-being and performance on subsequent days, further evidencing the downstream importance of flow-facilitative leader behaviors. Both transformational leadership and LMX were also found to predict psychological well-being through leaders’ impact on flow preconditions and flow itself in a full multi-stage mediation model.
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M Mills, M Simmons, Satoris Howes, S Riforgiate and M. Braun "Time after Time: A daily diary examination of leadership’s sequential impact on flow experiences" Journal of Positive Psychology 2024 View on: Google Scholar

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Academic Journal
Finance

“Time variability in market risk aversion”

We adopt realized covariances to estimate the coefficient of risk aversion across portfolios and through time. Our approach yields second moments that are free from measurement error and not influenced by a specified model for expected returns. Supporting the permanent income hypothesis, we find risk aversion responds to consumption smoothing behavior. As income increases, or as the ratio of consumption-to-income falls, relative risk aversion decreases. We also document variation in risk aversion across portfolios: risk aversion is highest for small and value portfolios.
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David Berger and Harry Turtle "Time variability in market risk aversion" Journal of Financial Research 285-307 pages 2009 View on: Google Scholar

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Academic Journal
Management

“Top Management Team Compensation in High Growth Technology Ventures”

We examine the key compensation issues pertaining to the top management team that occur during the early stages of growth in new ventures, specifically those anticipating rapid growth such as in technology-intensive markets. Similar to other new ventures, high-growth technology ventures are small in size but they have a goal of rapid growth giving rise to a need for resources and managerial talent to sustain the growth. New ventures are likely to compete in the market with larger organizations for top management team members. As a result, new ventures in rapid growth technology markets experience some unique compensation challenges. Critical for these firms is the issue of distributing equity among members of the founding team and structuring compensation to attract and retain non-founder executives. Drawing from the human resource management and entrepreneurship literatures, this paper develops a set of propositions predicting top management team compensation strategies for rapidly growing new ventures. Directions for future research are also discussed.
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D. Balkin and Michele Swift "Top Management Team Compensation in High Growth Technology Ventures" Human Resource Management Review 1-11 pages 2006

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Academic Journal
BIS

“Topological Analysis of Criminal Activity Networks: Enhancing Transportation Security”

The security of border and transportation systems is a critical component of the national strategy for homeland security. The security concerns at the border are not independent of law enforcement in border-area jurisdictions because the information known by local law enforcement agencies may provide valuable leads that are useful for securing the border and transportation infrastructure. The combined analysis of law enforcement information and data generated by vehicle license plate readers at international borders can be used to identify suspicious vehicles and people at ports of entry. This not only generates better quality leads for border protection agents but may also serve to reduce wait times for commerce, vehicles, and people as they cross the border. This paper explores the use of criminal activity networks (CANs) to analyze information from law enforcement and other sources to provide value for transportation and border security. We analyze the topological characteristics of CAN of individuals and vehicles in a multiple jurisdiction scenario. The advantages of exploring the relationships of individuals and vehicles are shown. We find that large narcotic networks are small world with short average path lengths ranging from 4.5 to 8.5 and have scale-free degree distributions with power law exponents of 0.85–1.3. In addition, we find that utilizing information from multiple jurisdictions provides higher quality leads by reducing the average shortest-path lengths. The inclusion of vehicular relationships and border-crossing information generates more investigative leads that can aid in securing the border and transportation infrastructure.
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Siddharth Kaza, Jennifer Xu, Byron Marshall and Hsinchun Chen "Topological Analysis of Criminal Activity Networks: Enhancing Transportation Security" IEEE Transactions on Intelligent Transportation Systems IEEE Transactions on Intelligent Transportation Systems (IEEE-ITS) 83 - 91 pages 2009 View on: Google Scholar

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