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Managerial Descriptions of Characteristics and Communication Rule Violations of Millennial Employees: Insights into the Hospitality Industry
Title
Managerial Descriptions of Characteristics and Communication Rule Violations of Millennial Employees: Insights into the Hospitality Industry.
Creator
Baker, Nicole, Hastings, Sally, Miller, Ann, Musambira, George, University of Central Florida
Abstract / Description
Millennials are the newest generation to enter the workforce. When Millennials enter organizations, managers construct perceptions about Millennials' communication behaviors, including their characteristics and adherence to organizational rules. These perceptions help managers decide Millennials' organizational fit. A review of literature revealed a scarcity of empirical research in this area with little empirical research from communication scholars who apply communication frameworks,...
Show moreMillennials are the newest generation to enter the workforce. When Millennials enter organizations, managers construct perceptions about Millennials' communication behaviors, including their characteristics and adherence to organizational rules. These perceptions help managers decide Millennials' organizational fit. A review of literature revealed a scarcity of empirical research in this area with little empirical research from communication scholars who apply communication frameworks, theories, and concepts. This research used the lens of social constructionism to understand the membership categorization devices and category-bound activities managers use to characterize Millennials. In order to better understand how Millennials conform to and change organizational culture, data were reviewed for those normative and code rules managers described Millennials violating. In this qualitative, exploratory study, 25 managers who were 31 years of age or older that worked in the hospitality industry and managed Millennial (18 to 30 years old) employees were interviewed through a snowball convenience sample. Interviews were transcribed and patterns were identified. Data analysis indicated that (")kids,(") (")age group,(") and (")Millennials(") and variations of the Millennial term were used to categorize Millennials. Analysis of category-bound activities showed patterns in Millennials' desire for learning and training, mixed preference for teamwork often affected by their liking for peers, and needs for frequent, clear, personalized feedback. With respect to rule violations, data showed that some organizations were adapting their cell phone policies in response to Millennial rules resistance. However, organizations were not willing to accommodate Millennials' rule violations in either the area of time-off requests or uncivil behavior due to organizational codes.
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Date Issued
2013
Identifier
CFE0004649, ucf:49882
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0004649
A mixed-methods approach to understanding the relationship between mental toughness and the effect of music on exercise performance
Title
A mixed-methods approach to understanding the relationship between mental toughness and the effect of music on exercise performance.
Creator
Baker, Kayla, Garcia, Jeanette, Stout, Jeffrey, Fukuda, David, Fisher, Thomas, Dawson, Nicole, University of Central Florida
Abstract / Description
Previous research has investigated the use of music as an ergogenic aid for exercise performance; however, the effect of music on exercise may differ between individuals of varying levels of mental toughness (MT). Purpose: The purpose of this study is to examine the moderating effect of MT on the effect of listening to music during exercise. Methods: The current study used a counter-balanced design, utilizing a mixed-methods approach. Thirty-one recreationally-active individuals (22.13 (&)...
Show morePrevious research has investigated the use of music as an ergogenic aid for exercise performance; however, the effect of music on exercise may differ between individuals of varying levels of mental toughness (MT). Purpose: The purpose of this study is to examine the moderating effect of MT on the effect of listening to music during exercise. Methods: The current study used a counter-balanced design, utilizing a mixed-methods approach. Thirty-one recreationally-active individuals (22.13 (&)#177; 2.11 yrs, 1.73 (&)#177; .10 m, 75.68 (&)#177; 14.67 kg, 42.89 (&)#177; 5.31 mL(&)#183;kg(&)#183;min-1; 65.5% males) were recruited for this study. Participants completed an initial visit to complete a MT questionnaire and create a personalized music playlist of at least 15 songs. Participants completed two familiarization trials and a VO2max test on the treadmill, all on separate days. The experimental trials consisted of two separate conditions: 1) no music (NM); and 2) self-selected music (SSM). For each experimental trial, participants performed a time-to-exhaustion (TTE) run at 80% of their VO2max, separated by at least 48 hours, followed by a post-study interview. Pearson product-moment correlations were used to investigate relationships between performance variables and MT. Moderated regression analysis was used to determine a potential order effect, as well as a potential moderating effect of MT on change in performance between NM and SSM groups. Linear regression analysis was used to determine a potential relationship between MT and change in performance between NM and SSM groups. An alpha level of p ? 0.05 was used to determine statistical significance. All qualitative data from post-study interviews was transcribed, coded, and categorized into primary themes. All statistical analyses was conducted via the Statistical Package for Social Science (SPSS) software for Windows version 21 (SPSS Inc., Chicago, IL). Results: Averages were calculated for MT (156.39 (&)#177; 9.38), TTESSM (14.18 (&)#177; 4.79 minutes), and TTENM (12.23 (&)#177; 5.24 minutes). Correlations were found between VO2max and TTESSM, TTENM, and MT (r = 0.390, p = 0.030; r = 0.519, p = 0.003; r = 0.404, p = 0.024; respectively). Moderated regression analysis revealed a non-significant interaction between MT, music, and order, indicating no order effect (? = -0.416, p = 0.735). Independent samples t-tests revealed no significant difference in MT, performance, or VO2maz between groups of participants who received music first or music second, indicating no effect of order (F = 0.388; p = 0.538; F = 0.537; p = 0.470; F = 0.070; p = 0.794; respectively. Moderated regression analysis, via linear regression, determined no significant moderating effect of MT on the change in performance between trials (?TTE) (F (3, 58) = 0.958, r = 0.217, p = 0.498). Linear regression, however, revealed a significant main effect of MT, indicating an inverse relationship between MT and ?TTE (F (1, 29) = 4.417, r = -0.634, p = 0.044). Discussion: The results from the current study indicate that greater levels of MT were associated with less change between the two performance trials, however, there were no significant relationships between MT or performance with self-selected music. This finding suggests that individuals with greater MT may demonstrate consistent patterns of performance, irrespective of the presence of external factors. Understanding the effects of MT and how external and internal stimuli affect performance may allow exercise professionals to tailor their training or rehabilitation programs to each individual, therefore increasing exercise performance and adherence.
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Date Issued
2019
Identifier
CFE0007428, ucf:52736
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0007428