Entrepreneurial implementation intention as a tool to moderate the stability of entrepreneurial goal intention: A sensemaking approach

2021 ◽  
Vol 123 ◽  
pp. 97-105
Author(s):  
Dung Pham ◽  
Paul Jones ◽  
Stephen Dobson ◽  
Francisco Liñán ◽  
Céline Viala
Keyword(s):  
Implementation Intention ◽  
The Stability ◽  
Goal Intention

Can implementation intention help to bridge the intention–behaviour gap in the entrepreneurial process? An experimental approach

2016 ◽  
Vol 17 (2) ◽  
pp. 80-88 ◽  
Author(s):  
Anne-Flore Adam ◽  
Alain Fayolle
Keyword(s):  
Experimental Study ◽  
Experimental Approach ◽  
Implementation Intention ◽  
Entrepreneurial Intention ◽  
Complex Behaviour ◽  
The Subject ◽  
The Difference ◽  
Goal Intention ◽  
Variance Explained

In order to understand what triggers action, researchers have studied intention and its determinants for decades. Specifically, entrepreneurship has been widely studied using the intention models. However, only few intended entrepreneurs enact their intentions in the end. As a proof, the variance explained by entrepreneurial intention in actual behaviour is estimated at 37%. So the entrepreneurial intention–behaviour link still has a lot to reveal, leaving a gap in the literature. This article first reminds the difference between goal intention and implementation intention and posits that intention models actually refer to goal intention only. As it has been proven in different contexts that by automatizing individuals’ responses to anticipated cues, implementation intention increases the probability to act, we propose to observe what could be the role of implementation intention in the entrepreneurial intention–behaviour link. The originality and main contribution of this experimental study is that it is the first attempt to operationalize implementation intention on such a complex behaviour. Even if the experiment enables us to make observations more than statistically valid findings, it paves the way for more empirical research on the subject, and it still allows to suggest what could be the benefit of using implementation intention in that field. It should now be tested on a larger scale to be statistically reliable.

Effect of Implementation Intentions to Change Behaviour: Moderation by Intention Stability

2010 ◽  
Vol 106 (1) ◽  
pp. 147-159 ◽  
Author(s):  
Gaston Godin ◽  
Ariane Bélanger-Gravel ◽  
Steve Amireault ◽  
Maria-Cecilia B. J. Gallani ◽  
Marie-Claude Vohl ◽  
...  
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Implementation Intentions ◽  
Implementation Intention ◽  
Baseline Assessment ◽  
The Stability ◽  
Experimental Group ◽  
Intentions To Change

The aim of this study was to assess the effects of implementation intentions on leisure-time physical activity, taking into account the stability of intention. At baseline (T0), 349 participants completed a psychosocial questionnaire and were randomly assigned to implementation intention or control condition. Three months after baseline assessment (T1), participants in the experimental group were asked to plan where, when, and how they would exercise. Leisure-time physical activity was assessed 3 mo. later (i.e., at 6-mo. follow-up; T2). The intervention had no significant effect on physical activity at 6-mo. follow-up. However, a significant interaction of group and intention stability was observed, with the effect of the intervention on behaviour statistically significant only among those with unstable intention. Intention stability thus moderated the effect of the intervention, i.e., the intervention was more successful among individuals who needed support to change (unstable intenders).

scholarly journals Exam Preparation: The Influence of Action Control, Procrastination and Examination Experience on Students’ Goal Intention and Implementation Intention

2017 ◽  
Vol 11 (31) ◽  
Author(s):  
Lutz Sommer
Keyword(s):  
Implementation Intention ◽  
Action Control ◽  
Exam Preparation ◽  
Goal Intention

Introducción. En el marco del análisis de intención de comportamiento de diferencia en relación con la preparación de exámenes, se examinó si la intención - subdividida en objetivo y la intención puesta en práctica - está influenciada directamente por el control de la acción de-terminantes, la dilación y la experiencia de examen, que es incompatible con la Teoría del Comportamiento Planificado, y si su influencia varía en su intensidad. Método. La base para la investigación fue un estudio (N = 204), que investigó los universitarios (participantes en la investigación) la revisión del examen. En 2010, 1.149 estudiantes de ingeniería alemana, con una edad media de 22,5 años de edad recibieron cuestionarios escritos. Un total de 204 se incluyeron en la evaluación global. Se ha utilizado un método de análisis de la trayectoria de modelado de ecuaciones estructurales para analizar las posibles relaciones entre las variables mencionadas. Resultados. Los resultados muestran que la experiencia de examen determinante tiene una influencia significativa y sustancial en la intención de la aplicación, mientras que la intención meta no tiene. Esta influencia también es relevante en cuanto a determinación de la dilación. Discusión. En base a los resultados, que influye en la experiencia de examen de los estudiantes, se debería realizar una revisión amplia de la teoría del modelo de comportamiento planificado. Se llega a la conclusión de que la experiencia de examen podría ser más una oportunidad para reducir la intención que de planificación de conducta. Además, se podría decir que el desarrollo de la intención de la aplicación es promovido por la intención de meta que por la experiencia de examen. Un enfoque unilateral sobre la intención meta no es razonable. La experiencia de examen puede tener un impacto positivo en el comportamiento de la dilación. Además, la falta o menor nivel de habilidades metodológicas o experiencia de examen pueden ser decisivos para el éxito del estudio. Con respecto a la acción determinante de control no se detectó ninguna influencia.

Adolescent Physical Activity: Does Implementation Intention Have a Role?

2010 ◽  
Vol 7 (4) ◽  
pp. 497-507 ◽  
Author(s):  
Vaughan Roberts ◽  
Ralph Maddison ◽  
Jane Magnusson ◽  
Harry Prapavessis
Keyword(s):  
Physical Activity ◽  
Social Cognitive ◽  
Behavioral Control ◽  
Implementation Intention ◽  
Integrated Model ◽  
Self Report ◽  
Future Research ◽  
Perceived Behavioral Control ◽  
Objectively Measured ◽  
Goal Intention

Background:The current study tested the utility of an integrated social cognitive model to predict physical activity (PA) intentions and behavior in New Zealand adolescents.Method:Seventy-two adolescents (mean age = 16.92, SD = 0.66) completed measures consistent with the integrated model (attitude, subjective norm, perceived behavioral control [PBC], goal intention, task-efficacy, barrier efficacy, and implementation intention). Pedometer data (Yamax SW200 pedometer) were collected for 7 days, and a self-report 7-day recall questionnaire was administered at the end of this week. A series of hierarchical regression analyses were conducted to examine the contribution of the model to PA goal intention, implementation intention, self-reported and objective PA.Results:The integrated model accounted for 41% of goal intention, 33% of implementation intention, and 41% and 18% of subjectively and objectively measured PA, respectively. PBC had the strongest association with goal intention whereas attitude had the strongest association with implementation intention. Task-efficacy made the greatest contribution to objectively measured PA, whereas implementation intention had the strongest association with subjectively measured PA.Conclusion:These findings have implications regarding PA measurement in adolescent populations, and suggest that social cognitive variables play an important role in adolescent PA. Recommendations for future research are discussed.

Measuring Intention in Language Learning: A Confirmatory Factor Analysis

2011 ◽  
Vol 108 (3) ◽  
pp. 766-778 ◽  
Author(s):  
Mei-Hsia Dai ◽  
Wen-Ta Tseng
Keyword(s):  
Language Learning ◽  
Factor Model ◽  
Reliability And Validity ◽  
Implementation Intention ◽  
Modified Model ◽  
Learning Intention ◽  
Confirmatory Factor ◽  
L2 Learning ◽  
Correlated Components ◽  
Goal Intention

Intention in language learning has not been studied effectively in research on second language (L2) learning. The goal is to fill this gap by designing and testing a measure of L2 learning intention. The scale was differentiated into two distinct but correlated components, goal intention and implementation intention, within the L2 context. The two intention scales were examined for reliability and validity using a series of standard psychometric procedures. A confirmatory factor model was then constructed and tested with a sample of 333 senior high school and college students. The results showed that a modified model had good psychometric characteristics and reasonable fit to the data.

Open discussion

1982 ◽  
Vol 99 ◽  
pp. 605-613
Author(s):  
P. S. Conti
Keyword(s):  
Buenos Aires ◽  
Large Mass ◽  
List Type ◽  
Common Phenomenon ◽  
Open Discussion ◽  
The Stability ◽  
Ring Nebulae

Conti: One of the main conclusions of the Wolf-Rayet symposium in Buenos Aires was that Wolf-Rayet stars are evolutionary products of massive objects. Some questions:–Do hot helium-rich stars, that are not Wolf-Rayet stars, exist?–What about the stability of helium rich stars of large mass? We know a helium rich star of ∼40 MO. Has the stability something to do with the wind?–Ring nebulae and bubbles : this seems to be a much more common phenomenon than we thought of some years age.–What is the origin of the subtypes? This is important to find a possible matching of scenarios to subtypes.

Symmetric Multistep Methods Revisited: II. Numerical Experiments

1999 ◽  
Vol 173 ◽  
pp. 309-314 ◽  
Author(s):  
T. Fukushima
Keyword(s):  
Multistep Methods ◽  
Computational Time ◽  
Integration Time ◽  
Implicit Methods ◽  
Symmetric Methods ◽  
Celestial Bodies ◽  
The Stability ◽  
Predictor Corrector ◽  
Symmetric Multistep Methods ◽  
Integration Errors

AbstractBy using the stability condition and general formulas developed by Fukushima (1998 = Paper I) we discovered that, just as in the case of the explicit symmetric multistep methods (Quinlan and Tremaine, 1990), when integrating orbital motions of celestial bodies, the implicit symmetric multistep methods used in the predictor-corrector manner lead to integration errors in position which grow linearly with the integration time if the stepsizes adopted are sufficiently small and if the number of corrections is sufficiently large, say two or three. We confirmed also that the symmetric methods (explicit or implicit) would produce the stepsize-dependent instabilities/resonances, which was discovered by A. Toomre in 1991 and confirmed by G.D. Quinlan for some high order explicit methods. Although the implicit methods require twice or more computational time for the same stepsize than the explicit symmetric ones do, they seem to be preferable since they reduce these undesirable features significantly.

Uniformity of Magnification from Different Electron Microscopes

1967 ◽  
Vol 25 ◽  
pp. 32-33
Author(s):  
Godfrey C. Hoskins ◽  
V. Williams ◽  
V. Allison
Keyword(s):  
Diffraction Grating ◽  
The Other ◽  
Carbon Replica ◽  
Electron Microscopes ◽  
The Stability

The method demonstrated is an adaptation of a proven procedure for accurately determining the magnification of light photomicrographs. Because of the stability of modern electrical lenses, the method is shown to be directly applicable for providing precise reproducibility of magnification in various models of electron microscopes.A readily recognizable area of a carbon replica of a crossed-line diffraction grating is used as a standard. The same area of the standard was photographed in Phillips EM 200, Hitachi HU-11B2, and RCA EMU 3F electron microscopes at taps representative of the range of magnification of each. Negatives from one microscope were selected as guides and printed at convenient magnifications; then negatives from each of the other microscopes were projected to register with these prints. By deferring measurement to the print rather than comparing negatives, correspondence of magnification of the specimen in the three microscopes could be brought to within 2%.

Effect of Improved ThO2 Particle Dispersion in Nickel on High-Temperature Strength

1970 ◽  
Vol 28 ◽  
pp. 444-445
Author(s):  
E. R. Kimmel ◽  
H. L. Anthony ◽  
W. Scheithauer
Keyword(s):  
High Temperature ◽  
Metal Matrix ◽  
Oxide Particle ◽  
Oxide Phase ◽  
Dislocation Motion ◽  
Particle Dispersion ◽  
High Temperature Strength ◽  
Strengthening Effect ◽  
Oxide Particles ◽  
The Stability

The strengthening effect at high temperature produced by a dispersed oxide phase in a metal matrix is seemingly dependent on at least two major contributors: oxide particle size and spatial distribution, and stability of the worked microstructure. These two are strongly interrelated. The stability of the microstructure is produced by polygonization of the worked structure forming low angle cell boundaries which become anchored by the dispersed oxide particles. The effect of the particles on strength is therefore twofold, in that they stabilize the worked microstructure and also hinder dislocation motion during loading.

An Analysis of Dissociation of Molecules in a High Resolution Electron Microscope

1973 ◽  
Vol 31 ◽  
pp. 486-487
Author(s):  
Mihir Parikh
Keyword(s):  
Electron Microscope ◽  
High Resolution ◽  
Cross Sections ◽  
Resolving Power ◽  
Peak Intensity ◽  
Molecular Film ◽  
Resolution Electron ◽  
Dissociation Cross Section ◽  
High Resolution Electron Microscope ◽  
The Stability

It is well known that the resolution of bio-molecules in a high resolution electron microscope depends not just on the physical resolving power of the instrument, but also on the stability of these molecules under the electron beam. Experimentally, the damage to the bio-molecules is commo ly monitored by the decrease in the intensity of the diffraction pattern, or more quantitatively by the decrease in the peaks of an energy loss spectrum. In the latter case the exposure, EC, to decrease the peak intensity from IO to I’O can be related to the molecular dissociation cross-section, σD, by EC = ℓn(IO /I’O) /ℓD. Qu ntitative data on damage cross-sections are just being reported, However, the microscopist needs to know the explicit dependence of damage on: (1) the molecular properties, (2) the density and characteristics of the molecular film and that of the support film, if any, (3) the temperature of the molecular film and (4) certain characteristics of the electron microscope used

Sign in / Sign up

Export Citation Format

Share Document