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Academic Journal
Management

“Is there a dark side of Big Data – point, counterpoint”

Haakonsson and Carroll see two sides to Big Data. In his executive experience, Haakansson finds big data slows the decision making process and the implementation of decisions as well. Executives tend to wait for more data just because it is there. Is there a solution? Haakonsson argues that leadership based upon experience and courage is needed. Carroll sees a different world where we have continually improved tools which can automate the analyses of big data and give us answers quickly. That is, big data is not a problem, but a solution for executives. But there is also a problem; what are the right questions to ask? Without hypotheses, the questions are endless. Leaders must utilize their experience, intuition and insights to ask the right questions – not all the possible questions which big data can address. Is there a synthesis? Big data by itself is not necessarily a good thing; but it can be if leaders have the courage to move on in a timely manner where they ask the right questions – not all the questions possible that big data can address.
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Academic Journal
Management

“Is time the great equalizer? How interpersonal time request processes are shaped by and reproduce disparities”

The pace of work and implications of the global pandemic have heightened many employees’ awareness of the demands on their time, especially demands through interpersonal requests from coworkers. However, little research has examined how interactions involving requests for time—a scarce and valuable resource that influences the generation and consumption of economic and psychological resources—unfold and their implications for individuals and collective climates at work. We work toward a theory that expands and sharpens knowledge of interpersonal time requests—processes of generating, making, interpreting, and responding to requests for time. Integrating perspectives on status, interpersonal interaction, and diversity, we develop a multilevel theory for how status disparity shapes intrapersonal cognition and interpersonal interactions during time requests, and tax employees’ time and other resources regressively. Our theorizing advances understanding of how the joint form of achieved status (i.e., status derived from task-based expertise) and ascribed status (i.e., status derived from demographics) shapes interpersonal interactions between time request initiators and responders, thereby illuminating how and why episodic, dyadic, and collective disparities can emerge in ways that can be costly and dysfunctional to organizations. We conclude by outlining how our theorizing can enable future research and inform practice.
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