The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.
New Developments in Goal Setting and Task Performance
Open accessAbstract
It is normal to pursue multiple goals at work and in our everyday life. Consider the case of college professors, who may set themselves several specifi c, diffi cult goals: publishing three articles in one year in high-impact journals with a high rejection rate, earning course evaluations from students of say 5.0 on a 7-point scale, and serving on two committees. Similarly, CEOs of business organizations have to pursue multiple goals, for example, market share, strategy implementation, innovation, customer service, cost control, ethical actions, the hiring and development of talent, legal issues, the organization’s profi tability, and more. The issue of multiple goals had not been well researched at the time of Latham and Locke’s 1990 book; most goal setting studies at that time concentrated on the effect of single goals on various types of task performance (Latham & Locke, 2007 ). Recently, there has been a growing body of research examining multiple goals. In this chapter, we review the major fi ndings generated from these studies spanning more than 20 years.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Motivational processes affecting learning.
Dweck, C. S. (1986) · American Psychologist · doi:10.1037/0003-066x.41.10.1040 · Cited by 6,971
The precuneus: a review of its functional anatomy and behavioural correlates
Cavanna, A. E., & Trimble, M. R. (2006) · Brain · doi:10.1093/brain/awl004 · Cited by 5,128
Kahn, R. L. (1998) · Cited by 4,295
Baltes, P. B., & Baltes, M. M. (1990) · Successful Aging · doi:10.1017/cbo9780511665684.003 · Cited by 3,739
Goals: An approach to motivation and achievement.
Elliott, E. S., & Dweck, C. S. (1988) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.54.1.5 · Cited by 3,098
Self-referential processing in our brain—A meta-analysis of imaging studies on the self
Northoff, G., Heinzel, A., de Greck, M., Bermpohl, F., Dobrowolny, H., & Panksepp, J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.12.002 · Cited by 2,792
Origins and functions of positive and negative affect: A control-process view.
Carver, C. S., & Scheier, M. F. (1990) · Psychological Review · doi:10.1037/0033-295x.97.1.19 · Cited by 2,726
The Influence of a Sense of Time on Human Development
Carstensen, L. L. (2006) · Science · doi:10.1126/science.1127488 · Cited by 2,554
Goal striving, need satisfaction, and longitudinal well-being: The self-concordance model
Sheldon, K. M., & Elliot, A. J. (1999) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.76.3.482 · Cited by 2,541
Baltes, P. B. (1997) · American Psychologist · doi:10.1037/0003-066x.52.4.366 · Cited by 2,066
Cited by
Sheeran, P., & Webb, T. L. (2016) · Social and Personality Psychology Compass · doi:10.1111/spc3.12265 · Cited by 2,185
Self-Control and Grit: Related but Separable Determinants of Success
Duckworth, A., & Gross, J. J. (2014) · Current Directions in Psychological Science · doi:10.1177/0963721414541462 · Cited by 1,025
Motivation and cognitive control: from behavior to neural mechanism
Botvinick, M., & Braver, T. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015044 · Cited by 909
Unique effects of setting goals on behavior change: Systematic review and meta-analysis.
Epton, T., Currie, S., & Armitage, C. J. (2017) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000260 · Cited by 384
Chang, D. H., Lin, M. P.-C., Hajian, S., & Wang, Q. Q. (2023) · Sustainability · doi:10.3390/su151712921 · Cited by 370
“For instance, Locke and Latham [53] explained that goals may help shape students’ strategies to tackle a learning task, monitor their progress in a studying session, and increase engagement and motivation.”
Background
Metadata
- Authors
- Locke, E. A.
- Venue
- Routledge eBooks
- Publisher
- Routledge
- Published
- 2013-01-03
- OpenAlex
- W624435403
- Cited by
- 1,231
- References
- 90
- FWCI
- 45.82
- Type
- book
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: New Developments in Goal Setting and Task Performance. https://app.cochat.ai/papers/10.4324/9780203082744
- The paper
- Locke, E. A. (2013). New Developments in Goal Setting and Task Performance. Routledge eBooks. https://doi.org/10.4324/9780203082744
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
