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Relevant bibliographies by topics / Job analysis

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Academic literature on the topic 'Job analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 July 2024

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Journal articles on the topic "Job analysis"

1

Schumacher, Sandra, Martin Kleinmann, and Cornelius J. König. "Job Analysis by Incumbents and Laypersons." Journal of Personnel Psychology 11, no. 2 (January 2012): 69–76. http://dx.doi.org/10.1027/1866-5888/a000050.

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Although research has tried to lessen the cognitive burden for job analysts by decomposing the decision process, findings have been ambiguous. This ambiguity may stem from overlooking the idea that analyzing jobs involves intuitive processes that decomposing hinders, at least if the job analysts have much job experience (i.e., job incumbents). Furthermore, job incumbents’ intuition might be particularly advantageous if complex items are used. Focusing on the job of paramedics, we found that incumbents’ ratings were more accurate than laypersons’ ratings if the job was presented holistically, whereas laypersons were more accurate when the job was decomposed. Results also showed an analogous Job Experience × Item Complexity interaction. These findings indicate that the role of intuition for analyzing jobs deserves more attention.

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Sfiligoi, I. "Estimating job runtime for CMS analysis jobs." Journal of Physics: Conference Series 513, no. 3 (June 11, 2014): 032087. http://dx.doi.org/10.1088/1742-6596/513/3/032087.

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Schneider, Benjamin, and Andrea Marcus Konz. "Strategic job analysis." Human Resource Management 28, no. 1 (1989): 51–63. http://dx.doi.org/10.1002/hrm.3930280104.

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Dwivedi, Sheema. "Industrial Psychology: Job Analysis and Job Evaluation." International Journal for Research in Applied Science and Engineering Technology 9, no. 10 (October 31, 2021): 1708–11. http://dx.doi.org/10.22214/ijraset.2021.38674.

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Lee, Sikyoon, Jinhee Park, and Soohyun Kim. "Determinants of Job-to-Job Transitions Analysis." Korean Development Economics Association 26, no. 3 (September 30, 2020): 67–92. http://dx.doi.org/10.20464/kdea.2020.26.3.3.

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D., Mhamdi. "Job Recommendation System based on Text Analysis." Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (March 31, 2020): 1025–30. http://dx.doi.org/10.5373/jardcs/v12sp4/20201575.

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Downs, Clive G. "Representing the structure of jobs in job analysis." International Journal of Man-Machine Studies 28, no. 4 (April 1988): 363–90. http://dx.doi.org/10.1016/s0020-7373(88)80018-x.

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Song, Kyungho, Hyun Kim, Jisoo Cha, and Taedong Lee. "Matching and Mismatching of Green Jobs: A Big Data Analysis of Job Recruiting and Searching." Sustainability 13, no. 7 (April 6, 2021): 4074. http://dx.doi.org/10.3390/su13074074.

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Creating green jobs tackles two crises: the economic downturn and environmental degradation. Responding to the economic downturn, some governments have declared a “green new deal” to remedy unemployment and the economic crisis. Job creation has been suggested as a driving force for sustainable economic development and climate change action. However, the question of how many and what types of green jobs are required has not been systematically examined. Are green job openings and searches matching each other in terms of timing, sectors, regions, and salary? This study aims to explore the degree of matching between green job supply and demand using a big data analysis (BDA) of online job market recruiting services in South Korea from 2009 to 2020. The BDA of the Ecojob website reveals that green jobs are concentrated in Seoul and Gyeounggi-do metropolitan areas. The number of water- and air-quality-related jobs is high within these sectors. Job searches in the water quality sector outnumbered job openings. The findings imply that green job creation policy should reflect timing, regional, and sectoral demand and supply data. Creating and matching green jobs is expected to reduce environmental harm, enhance environmental quality, and reduce unemployment.

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Foley, Marcia, Julie Lee, Lori Wilson, Virginia Young Cureton, and Daryl Canham. "A Multi-Factor Analysis of Job Satisfaction Among School Nurses." Journal of School Nursing 20, no. 2 (April 2004): 94–100. http://dx.doi.org/10.1177/10598405040200020701.

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Although job satisfaction has been widely studied among registered nurses working in traditional health care settings, little is known about the job-related values and perceptions of nurses working in school systems. Job satisfaction is linked to lower levels of job-related stress, burnout, and career abandonment among nurses. This study evaluated the level of job satisfaction among a convenience sample of school nurses practicing in California. The Index of Work Satisfaction (IWS) was the instrument used. Although the sampled school nurses rated autonomy and interaction as the most important and satisfying factors contributing to job satisfaction, the overall findings indicated that school nurses are relatively dissatisfied with their jobs.

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Iaffaldano, Michelle T., and Paul M. Muchinsky. "Job satisfaction and job performance: A meta-analysis." Psychological Bulletin 97, no. 2 (1985): 251–73. http://dx.doi.org/10.1037/0033-2909.97.2.251.

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Dissertations / Theses on the topic "Job analysis"

1

Cowgill, Marc. "Behavioral specificity and reliability in job analysis and job specification /." This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-08042009-040237/.

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Cowgill, Marc C. "Behavioral specificity and reliability in job analysis and job specification." Thesis, Virginia Tech, 1991. http://hdl.handle.net/10919/44141.

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Job analysis, narrowly defined, refers to the collection of data describing job-related behaviors and the characteristics of the job environment. Job specification refers to the process of inferring required traits or abilities necessary for a desired level of job performance. Differences in the judgmental processes involved in these two functions were explored by (a) investigating the potential schema- or stereotype-based nature of job specification ratings, and (b) assessing the relationship between behavioral specificity and interrater reliability. These concerns were investigated through the use of 3 groups of subject raters: one group possessing extensive job knowledge, one group possessing some degree of job familiarity, and one group possessing little or no job knowledge. All subjects completed a job analysis instrument (the Job Element Inventory) and a job specification instrument (the Threshold Traits Analysis; TTA). Contrary to predictions, little evidence was uncovered to suggest extensive schema-usage on the part of TTA raters. In addition, the 2 instruments achieved similar levels of interrater reliability among the 3 subject groups. However, marginal support was found for the notion that behaviorally specific items generate higher reliability the less-specific items, and in replication of previous findings, job-naive raters were found unable to achieve the reliability of subject matter experts. Suggestions for future research are offered.
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Chicvara, Cindy L. "Job analysis : implications and explorations." FIU Digital Commons, 1990. http://digitalcommons.fiu.edu/etd/2167.

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An overview of job analysis methods and literature review are presented as a basis for the investigation of job analysis data. Item analysis is a sufficient means of reviewing job analysis data but the information provided by item analysis (reliability measures) is limited. An exploration of alternative methods for evaluating the validity of a job analysis instrument is offered. Standard methods for assessing the reliability of the job analysis questionnaire are applied in this study. Interrater agreement and individual item measurement are evaluated using Generalizability theory (Cronbach, Gleser, Nader, & Rajaratnam; 1982) through a generalizability analysis program (Crick & Brennan, 1983). A discussion of the various types of analysis employed concludes each section.

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Morris, David Charles. "Comparing job component validity to observed validity across jobs." CSUSB ScholarWorks, 2002. https://scholarworks.lib.csusb.edu/etd-project/2046.

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Five hundred and eighteen observed validity coefficients based on correlations between commercially available test data and supervisory ratings of overall job performances were collected in 89 different job titles. Using Dictionary of Occupational Title Codes, Job Component Validity (JUV) estimates based on similar job titles residing in the PAQ Service database were collected and averaged across the General Aptitude Test.

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Tross, Stuart A. "Rater job experience and job analysis ratings : Are there effects? Does statistical control make a difference?" Thesis, Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/31034.

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Boyd, Charlotte Friedersdorff. "Effects of Performance Levels of Subject Matter Experts on Job Analysis Outcomes." Thesis, University of North Texas, 1997. https://digital.library.unt.edu/ark:/67531/metadc278910/.

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Much research has been undertaken to determine how Subject Matter Expert characteristics affect job analysis outcomes. The current study seeks to discover if performance levels are related to current incumbents ratings of their positions. A group of 114 corporate associates, from two administrative positions, served as Subject Matter Experts (SME) for this study. Separate job analyses for each position were conducted using the Job Analysis Task Checklist. The results for each job were analyzed to determine if SME performance levels affected job analysis outcomes. The results for both jobs showed that there were very few differences in job analysis results as a function of SME performance levels.

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Liu, Cong. "A Comparison of Job Stressors and Job Strains Among Employees Holding Comarable Jobs in Western and Eastern Societies." Scholar Commons, 2002. https://scholarcommons.usf.edu/etd/7598.

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In this study, comparisons on job stressors and job strains have been made between American and Chinese employees. Data were collected from two jobs differing in social status: university professors and university administrative and support staff. Both quantitative and qualitative methods were used. The quantitative part involved traditional Likert scales for measuring job stressors (e.g., lack of job autonomy, interpersonal conflict, and organizational constraints), and job strains (e.g., turnover intention, frustration, negative emotions, job dissatisfaction, depression, and physical symptoms). The qualitative part was an open-ended questionnaire asking about a stressful job incident. Independent t-tests were used to compare the United States to China on the job stressors and job strains for the quantitative data. Content analyses were applied on the open-ended answers. Finally, I conducted chi-square tests to examine if the frequencies of reported stressors/strains between the U.S. sample and the Chinese sample were significantly different. From the quantitative analyses on job stressors, American employees perceived more job autonomy and organizational constraints than Chinese employees. There was no significant difference between the two samples on interpersonal conflict. The analyses on the qualitative data revealed that heavy workload, interpersonal conflicts, and organizational constraints were the common job stressors for both the U.S. and Chinese samples. However, lack of job control was a unique stressor for American employees, while performance evaluations and work mistakes were specifically stressful for Chinese employees. The Chi-square analysis yielded a significant difference in the nature of reported stressors between the U.S. and Chinese sample. The qualitative analyses on job strain data revealed that, under high pressure, American employees tended to be angry and frustrated, while Chinese employees tended to feel worried and helpless. The most important physical symptom for the U.S. sample was tiredness and exhaust, while sleep problems was serious to Chinese sample. The Chisquare analysis yielded a significant difference in both psychological and physical strains between the U.S. and Chinese samples.

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Gustafson, Sigrid Beda. "Person and situation subgroup membership as predictive of job performance and job perceptions." Diss., Georgia Institute of Technology, 1986. http://hdl.handle.net/1853/28926.

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Black, Gene M. "Job families : an investigation of alternative definitional procedures." Diss., Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/30080.

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Connolly, James J. "Affectivity and job satisfaction: a meta-analysis." FIU Digital Commons, 1998. http://digitalcommons.fiu.edu/etd/2423.

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The goal of this investigation was to examine the affective determinants of job satisfaction. Correlations between affectivity and job satisfaction measures were examined by cumulating research findings across studies. Measurement of affectivity in this study focused on five constructs, (1) negative affectivity, (2) positive affectivity, (3) affective disposition, (4) positive & negative affectivity, (5) all affectivity measures combined. The correlations between these five constructs and job satisfaction were meta-analyzed. The mean correlation corrected for coefficient alpha in both the affectivity and job satisfaction measures were: .49 for positive affectivity (N= 3,326, k= 15), -. 33 for negative affectivity (N= 6,028, k= 25), .36 for affective disposition (N= 1,415, k= 7), .39 for positive & negative affectivity (N= 9,354, k= 40), and .38 for all measures of affectivity combined (N= 10,769, k= 47). Results indicated that 10% - 25% of variance in job satisfaction could be due to individual differences in affectivity. No strong moderator variables were found. Implications for a Dispositional and situational source of job satisfaction are discussed.

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Books on the topic "Job analysis"

1

Prince Edward Island. Dept. of Labour. Pay Equity Bureau. Job analysis. Charlottetown: Department of Labour, 1991.

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Swartz, George. Job hazard analysis. Rockville, MD: Government Institute, 2001.

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United States. Mine Safety and Health Administration, ed. Job safety analysis. [Washington, D.C.?]: U.S. Dept. of Labor, Mine Safety and Health Administration, 1999.

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Washington (State). Dept. of Personnel. and Washington State Library. Electronic State Publications., eds. Job analysis guide. [Olympia, Wash.]: Dept. of Personnel, 2005.

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Isernhagen, Susan J. Functional job analysis. Duluth, MN: Isernhagen Work Systems, 1992.

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Great Britain. Army. General staff., ed. Job analysis for training. [s.l.]: Army, 1987.

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Kasper, Juneann. Stapled duplexing job analysis. Little Falls, NJ: Minnella Enterprises, 1994.

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C, Williams Valerie, and WorldatWork (Organization), eds. Documenting job content. Scottsdale, AZ: WorldatWork, 2004.

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Office, International Labour, ed. Job evaluation. Geneva: International Labour Office, 1986.

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Saunders, R. Job analysis and the preparation of job descriptions. Blagdon: The Staff College, 1992.

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Book chapters on the topic "Job analysis"

1

Smith, Mike, and Ivan T. Robertson. "Job Analysis." In The Theory and Practice of Systematic Personnel Selection, 14–34. London: Palgrave Macmillan UK, 1993. http://dx.doi.org/10.1007/978-1-349-22754-9_2.

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Armstrong, Amy J. "Job Analysis." In Encyclopedia of Clinical Neuropsychology, 1879. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_406.

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Armstrong, Amy J. "Job Analysis." In Encyclopedia of Clinical Neuropsychology, 1. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-56782-2_406-2.

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Smith, Mike, and Ivan T. Robertson. "Job Analysis." In The Theory and Practice of Systematic Staff Selection, 8–29. London: Palgrave Macmillan UK, 1986. http://dx.doi.org/10.1007/978-1-349-07132-6_2.

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Wilson, Katy Lynn. "Job Analysis." In The Encyclopedia of Human Resource Management, 284–87. San Francisco, CA: Pfeiffer: A Wiley Imprint, 2012. http://dx.doi.org/10.1002/9781118364741.ch52.

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Truxillo, Donald M., Talya N. Bauer, and Berrin Erdogan. "Job Analysis." In Psychology and Work, 74–110. 2nd ed. New York: Routledge, 2021. http://dx.doi.org/10.4324/9780429055843-5.

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Riggio, Ronald E. "Job Analysis." In Introduction to Industrial/Organizational Psychology, 63–89. Seventh Edition. | New York : Routledge, [2017] | Revised edition of the author’s Introduction to industrial/organizational psychology, 2013.: Routledge, 2017. http://dx.doi.org/10.4324/9781315620589-3.

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Armstrong, Amy J. "Job Analysis." In Encyclopedia of Clinical Neuropsychology, 1369–70. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_406.

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Luong, Alexandra, Justin M. Sprung, and Michael J. Zickar. "Job analysis." In Personnel Psychology, 39–66. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781315731735-3.

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Verma, Alekh, and Sompal Singh. "Job Analysis and Job Evaluation." In Clinical Laboratory Management, 23–28. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-46420-1_5.

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Conference papers on the topic "Job analysis"

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Liu, Feng, and Jon B. Weissman. "Elastic job bundling." In SC15: The International Conference for High Performance Computing, Networking, Storage and Analysis. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2807591.2807610.

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Curry, Roger, Cameron Kiddle, and Rob Simmonds. "Policy Based Job Analysis." In 21st International Symposium on High Performance Computing Systems and Applications (HPCS'07). IEEE, 2007. http://dx.doi.org/10.1109/hpcs.2007.26.

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Muenchen, Tim, Erich Ehses, Torsten Harenberg, Peter Maettig, Markus Mechtel, Martin Rau, Peer Ueberholz, and Nikolaus Wulff. "Job Centric Monitoring for ATLAS jobs in the LHC Computing Grid." In XII Advanced Computing and Analysis Techniques in Physics Research. Trieste, Italy: Sissa Medialab, 2009. http://dx.doi.org/10.22323/1.070.0042.

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Berengueres, Jose, Guillem Duran, and Dani Castro. "Happiness, an inside job?" In ASONAM '17: Advances in Social Networks Analysis and Mining 2017. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3110025.3110132.

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Eyerman, Stijn, Pierre Michaud, and Wouter Rogiest. "Revisiting symbiotic job scheduling." In 2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS). IEEE, 2015. http://dx.doi.org/10.1109/ispass.2015.7095791.

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Abadi, Ferryal, and Didin Hikmah Perkasa. "Analysis of Job Training, Compensation and Engagement on Job Effectiveness." In Proceedings of the 4th International Conference on Management, Economics and Business (ICMEB 2019). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.200205.035.

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Mankawade, Amruta, Vithika Pungliya, Roshita Bhonsle, Samruddhi Pate, Atharva Purohit, and Ankur Raut. "Resume Analysis and Job Recommendation." In 2023 IEEE 8th International Conference for Convergence in Technology (I2CT). IEEE, 2023. http://dx.doi.org/10.1109/i2ct57861.2023.10126171.

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Carlos, M. C., and H. J. Lucero. "Risk assessment of the job tasks for heavy equipment operators." In RISK ANALYSIS 2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/risk120111.

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Liu, Jiao. "Examining the Effects of Job Resources, Job Demands, and Job Self-Efficacy on STEM Teachers' Job Satisfaction: A Commonality Analysis." In 2021 AERA Annual Meeting. Washington DC: AERA, 2021. http://dx.doi.org/10.3102/1682991.

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Muralidhar, Skanda, Laurent Son Nguyen, Denise Frauendorfer, Jean-Marc Odobez, Marianne Schmid Mast, and Daniel Gatica-Perez. "Training on the job: behavioral analysis of job interviews in hospitality." In ICMI '16: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2993148.2993191.

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Reports on the topic "Job analysis"

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Gardner, Jaap. TSQP: Job Task Analysis. Office of Scientific and Technical Information (OSTI), October 2022. http://dx.doi.org/10.2172/1894818.

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Kubisiak, Chris, and Lawrence Katz. U.S. Army Aviator Job Analysis. Fort Belvoir, VA: Defense Technical Information Center, August 2006. http://dx.doi.org/10.21236/ada457239.

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Statman, Mary A., Monica Gribben, Dick A. Harris, and Gene R. Hoffman. Occupational Analysis and Job Structures. Fort Belvoir, VA: Defense Technical Information Center, February 1996. http://dx.doi.org/10.21236/ada309141.

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Desai, Jal, and Cory Chovanec. Energy Auditor Job Task Analysis. Office of Scientific and Technical Information (OSTI), September 2023. http://dx.doi.org/10.2172/2005572.

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Kurnik, C., and C. Woodley. NREL Job Task Analysis: Energy Auditor. Office of Scientific and Technical Information (OSTI), May 2011. http://dx.doi.org/10.2172/1016433.

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Kurnik, C., and C. Woodley. NREL Job Task Analysis: Crew Leader. Office of Scientific and Technical Information (OSTI), May 2011. http://dx.doi.org/10.2172/1016436.

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Wolfe, Randy P. Course 25158, TSQP: Job Task Analysis. Office of Scientific and Technical Information (OSTI), November 2017. http://dx.doi.org/10.2172/1408856.

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Kurnik, Charles W., and Sean Gasperson. Weatherization Crew Leader Job Task Analysis. Office of Scientific and Technical Information (OSTI), June 2019. http://dx.doi.org/10.2172/1529219.

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Desai, Jal, and Cory Chovanec. Quality Control Inspector Job Task Analysis. Office of Scientific and Technical Information (OSTI), September 2023. http://dx.doi.org/10.2172/2005573.

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Alhawarin, Ibrahim, and Mamdouh Al Salamat. Job quality in Jordan: An analysis based on a Job Quality Index (JQI). Population Council, 2009. http://dx.doi.org/10.31899/pgy15.1048.

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