4 research outputs found

    Developing Whole Leaders for the Whole World

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    How do we holistically develop leaders with the capacity and character to tackle the most pressing moral challenges in our modern world? While it may be easier to focus on one thing such as strengths, experiences, or mentors, the reality is that developing a leader’s capacity to lead well includes many interrelated components. Based on our experience and research, the six components of the Holistic Leadership Development Model (HLDM) are presented, along with strategies for creating rich conversations that connect the components in a meaningful way for leaders. The six areas are (1) experiences and learning; (2) strategic networking; (3) developing others; (4) integrated fulfillment; (5) leading under pressure; and (6) calling and purpose. While we are not suggesting that these are the only areas to consider when developing leaders, focusing on these six creates conversations and development plans for leaders that they perceive as capturing the reality of the challenges they face in developing their leadership capacity. Guides for evaluating one’s own leadership development and for having rich development conversations are included

    Building and Sustaining Hope in the Face of Failure: Understanding the Role of Strategic Social Support

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    The research on hope has focused on how individuals build and maintain hopeful emotions through their own successful attempts of achieving their goals using personal agency and pathways. Success in meeting the goal leads to higher levels of hope within an individual and an increased belief that they can achieve more difficult tasks, while failure leads to a decrease in levels of hope (Helland & Winston, 2005; Snyder, Rand, & Sigmon, 2002; Snyder, Shorey, Cheavens, Pulvers, Adams, & Wiklund, 2002; Snyder, Irving, & Anderson, 1991). The purpose of this study was to explore the moderating relationship of strategic social support on levels of hope despite ratings of experience with failure. The sample was sourced from participants in an online leadership development tool. Once outliers were removed and missing data was managed through multiple imputation, the final sample for this study was 573. The age range was 21 to 97 with 56.2% identifying as female. Moderation analyses were conducted using PROCESS macro for SPSS (Model 1 and Model 2). While interaction effects were insignificant, main effects for social support on levels of hope were significant (B = 0.154, p = .007). Furthermore, there was a significant main effect of relational strategic social support (emotional support, advocates, and sources of feedback) on levels of hope (B = 0.141, p = .05). Additional exploratory analyses found that both sources of feedback (B = 0.141, p = .000) and advocates (B = 0.121, p = .0184) had significant main effects on hope when assessed separately. The results of this study indicate that strategic social support may have a key role to play in building and sustaining levels of hope and be worth the investment and effort to connect individuals with the sources of support they need to increase levels of hope

    Building and Sustaining Hope in the Face of Failure: Understanding the Role of Strategic Social Support

    Get PDF
    The research on hope has focused on how individuals build and maintain hopeful emotions through their own successful attempts of achieving their goals using personal agency and pathways. Success in meeting the goal leads to higher levels of hope within an individual and an increased belief that they can achieve more difficult tasks, while failure leads to a decrease in levels of hope (Helland & Winston, 2005; Snyder, Rand, & Sigmon, 2002; Snyder, Shorey, Cheavens, Pulvers, Adams, & Wiklund, 2002; Snyder, Irving, & Anderson, 1991). The purpose of this study was to explore the moderating relationship of strategic social support on levels of hope despite ratings of experience with failure. The sample was sourced from participants in an online leadership development tool. Once outliers were removed and missing data was managed through multiple imputation, the final sample for this study was 573. The age range was 21 to 97 with 56.2% identifying as female. Moderation analyses were conducted using PROCESS macro for SPSS (Model 1 and Model 2). While interaction effects were insignificant, main effects for social support on levels of hope were significant (B = 0.154, p = .007). Furthermore, there was a significant main effect of relational strategic social support (emotional support, advocates, and sources of feedback) on levels of hope (B = 0.141, p = .05). Additional exploratory analyses found that both sources of feedback (B = 0.141, p = .000) and advocates (B = 0.121, p = .0184) had significant main effects on hope when assessed separately. The results of this study indicate that strategic social support may have a key role to play in building and sustaining levels of hope and be worth the investment and effort to connect individuals with the sources of support they need to increase levels of hope

    Complete genome sequence of the myxobacterium Sorangium cellulosum

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    The genus Sorangium synthesizes approximately half of the secondary metabolites isolated from myxobacteria, including the anti-cancer metabolite epothilone. We report the complete genome sequence of the model Sorangium strain S. cellulosum So ce56, which produces several natural products and has morphological and physiological properties typical of the genus. The circular genome, comprising 13,033,779 base pairs, is the largest bacterial genome sequenced to date. No global synteny with the genome of Myxococcus xanthus is apparent, revealing an unanticipated level of divergence between these myxobacteria. A large percentage of the genome is devoted to regulation, particularly post-translational phosphorylation, which probably supports the strain's complex, social lifestyle. This regulatory network includes the highest number of eukaryotic protein kinase-like kinases discovered in any organism. Seventeen secondary metabolite loci are encoded in the genome, as well as many enzymes with potential utility in industry
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