%0 Conference Paper %1 seipp2017human %A Seipp, Ann-Kathrin %A Schmitt, Antje %A Ohly, Sandra %B Presentation at the 10. Tagung der Fachgruppe Arbeits-, Organisations- und Wirtschaftspsychologie (AOW) der Deutschen Gesellschaft für Psychologie (DGPs) in Dresden %D 2017 %K ohlypub schmittpub seipppub wipsypub %P 453 %T Human energy at work – a meta analytic approach to discover its nomological network %U http://aow2017.de/frontend/converia/media/AOW2017/images/AOW2017_Programm_and_Abstracts_final_25092017.pdf %X Research question: Energy is defined and operationalized by constructs such as vigor, vitality, energetic arousal, and zest which cannot be easily differentiated but seem to measure one construct: human energy. Research showed similar relations to work outcomes such as employee well-being and performance. This study intends to clean up the construct of human energy and aims to answer the question whether different indicators of energy can be differentiated. Study design: To clean up the construct this study applies a meta-analytical approach based on Schmidt and Hunter (1995). We summarize different variables to four main clusters; these are employee well-being, employee illness, performance, and commitment. Employee well-being (17 studies) refers to variables such as satisfaction, well-being, positive affect, and self-esteem. Health problems, depression, exhaustion and negative affect are part of the cluster employee illness (9 studies). Performance (11 studies) includes performance, efficacy, motivation, innovation. Last, commitment (8 studies) refers to goal, organizational, and career commitment. To investigate the relations between the clusters and energy weighted means of the correlations are calculated. Results: First results show the expected relationships between energy and each of the clusters. Employee well-being (r=.45), performance (r=.55) and commitment (r=.40) are positively correlated and employee illness (r=-.31) is negatively correlated with human energy. Limitations: Publication bias and an incomplete set of studies might limit the generalizability of findings. Implications: The results indicate that it is unnecessary to reflect which energy construct to use. The results facilitate the handling of human energy constructs in research and provide reliable and valid information for practitioners. Relevance/Contribution: We reveal the unnecessary use of different energy constructs and further provide a review on relations between human energy and work outcomes.

@inproceedings{seipp2017human, abstract = {Research question: Energy is defined and operationalized by constructs such as vigor, vitality, energetic arousal, and zest which cannot be easily differentiated but seem to measure one construct: human energy. Research showed similar relations to work outcomes such as employee well-being and performance. This study intends to clean up the construct of human energy and aims to answer the question whether different indicators of energy can be differentiated. Study design: To clean up the construct this study applies a meta-analytical approach based on Schmidt and Hunter (1995). We summarize different variables to four main clusters; these are employee well-being, employee illness, performance, and commitment. Employee well-being (17 studies) refers to variables such as satisfaction, well-being, positive affect, and self-esteem. Health problems, depression, exhaustion and negative affect are part of the cluster employee illness (9 studies). Performance (11 studies) includes performance, efficacy, motivation, innovation. Last, commitment (8 studies) refers to goal, organizational, and career commitment. To investigate the relations between the clusters and energy weighted means of the correlations are calculated. Results: First results show the expected relationships between energy and each of the clusters. Employee well-being (r=.45), performance (r=.55) and commitment (r=.40) are positively correlated and employee illness (r=-.31) is negatively correlated with human energy. Limitations: Publication bias and an incomplete set of studies might limit the generalizability of findings. Implications: The results indicate that it is unnecessary to reflect which energy construct to use. The results facilitate the handling of human energy constructs in research and provide reliable and valid information for practitioners. Relevance/Contribution: We reveal the unnecessary use of different energy constructs and further provide a review on relations between human energy and work outcomes.}, added-at = {2017-09-27T11:01:53.000+0200}, author = {Seipp, Ann-Kathrin and Schmitt, Antje and Ohly, Sandra}, biburl = {https://www.bibsonomy.org/bibtex/23514e07fdd1846a44c3c3da423dbdde2/wipsykassel}, booktitle = {Presentation at the 10. Tagung der Fachgruppe Arbeits-, Organisations- und Wirtschaftspsychologie (AOW) der Deutschen Gesellschaft für Psychologie (DGPs) in Dresden}, eventdate = {13. - 15.09.2017}, eventtitle = {Human Performance in Socio-Technical Systems}, interhash = {33a46a6bb90bb2d7bcfd7d7399d9de84}, intrahash = {3514e07fdd1846a44c3c3da423dbdde2}, keywords = {ohlypub schmittpub seipppub wipsypub}, month = {13. - 15. September}, pages = 453, timestamp = {2017-09-27T11:51:31.000+0200}, title = {Human energy at work – a meta analytic approach to discover its nomological network}, url = {http://aow2017.de/frontend/converia/media/AOW2017/images/AOW2017_Programm_and_Abstracts_final_25092017.pdf}, venue = {Dresden}, year = 2017 }