What predicts skill transfer? An exploratory study of goal orientation,training self‐efficacy and organizational supports

Results from a study examining the predictors of skill transfer from an instructional to a work environment are presented. Prior research indicates that skill transfer is a function of both individual and contextual factors. A total of 186 employees from a work organization were surveyed on individual dimensions (goal orientation, training self‐efficacy) and contextual factors (supervisor and peer support). Pre‐training motivation was proposed as proximal training outcome and further connected to the distal outcome, skill transfer. Analyses with structural equation modeling using EQS indicate that individual dimensions, such as mastery‐approach goal orientation and training self‐efficacy, are related to pre‐training motivation. Also, contextual factors, such as peer support, predicted both pre‐training motivation and skill transfer, while supervisor support was unrelated to either pre‐training motivation or skill transfer. Pre‐training motivation, in turn, was related to skill transfer. Implications for theory and practice are discussed.     

Exploring the role of goal theory in understanding training motivation

A model to test conceptions from goal theory within an existing framework of training motivation was developed and tested with employees participating in training in a non‐profit organization. It was hypothesized that goal orientation ('distal factors’) along with self‐efficacy, expectancy and valence (‘proximal factors’) would predict goal intentions as well as training outcomes such as affective responses to training, perceptions of training utility and intention to transfer or use the training provided. Results revealed that goal orientation predicted a significant proportion of variance in the proximal antecedents (valence (33 per cent), expectancy (39 per cent) and self‐efficacy (31 per cent)) whereas the proximal antecedents explained 43 per cent of the variance in goal intentions. In turn, goal intentions were related to training outcomes (affect (b = 0.7), utility (b = 0.6) and transfer intention (b = 0.5)). Goal intentions mediated the relationship between proximal antecedents and training outcomes, providing evidence that goal intentions play a pivotal role in the causal path from proximal factors to training outcomes. Valence alone was found to be a significant mediator of the relationship between goal orientation and goal intentions.     

How gender influences the effect of age on self‐efficacy and training success

Previous research has shown age and gender differences in training, but the results have been mixed and their combined influence is only rarely examined. We fill those gaps by analysing age and gender effects on self‐efficacy and training success. Study participants were trainees in an e‐learning time‐ and self‐management behaviour modelling training programme. We measured self‐efficacy before and after training and time‐ and self‐management behaviour before and 6 weeks after training. We expected the differences between pre‐ and post‐test results to indicate self‐efficacy development and we expected differences between pre‐ and follow‐up tests to indicate training success. A hierarchical regression analysis showed that age and gender interacted in both self‐efficacy development and training success. A structural equation model confirmed that men and women showed different relationships among age, self‐efficacy and training success. Older women showed more positive development compared with older men. We conclude that age and gender should both be considered in future design and training evaluations.     

Public sector training participation: an empirical investigation

This study tests a mediated model of employee participation in training activities in a public sector highway department. Results showed the combined predictor sets accounted for a significant proportion of the variance in an objective measure of training attended, a self‐report measure of training attended, and intentions to participate in future training. Although the proposed mediated model was not supported, the findings suggest that previous transfer success and motivation play a significant role in intentions to participate in training.     

The transfer of training: what really matters

Although organizations invest billions of dollars in training every year, many trained competencies reportedly fail to transfer to the workplace. Researchers have long examined the ‘transfer problem’, uncovering a wealth of information regarding the transfer of training. Inconsistencies remain, however, and organizations may find it difficult to pinpoint exactly which factors are most critical. Using Baldwin and Ford's model of transfer, we identify the factors relating to trainee characteristics (cognitive ability, self‐efficacy, motivation, perceived utility of training), training design (behavioral modeling, error management, realistic training environments) and the work environment (transfer climate, support, opportunity to perform, follow‐up) that have exhibited the strongest, most consistent relationships with the transfer of training. We describe our reasoning for extracting such variables from the literature and conclude by discussing potential implications for practice and future research.     

Rules of engagement: the joint influence of trainer expressiveness and trainee experiential learning style on engagement and training transfer

We investigated the joint effect of trainer expressiveness and trainee experiential learning style on training transfer intentions. Extending prior research where trainer expressiveness has been established as a positive predictor of transfer, we show that trainer expressiveness is more impactful for trainees with high (vs. low) experiential learning styles. Based on our findings, trainees' experiential styles – also related to one's intuition – emerge as important enhancers of transfer intentions, and should be considered in future research and when assigning trainees to learning. In addition, we found that the effect of trainer expressiveness on transfer intentions is mediated by trainee engagement.     

Effects of proactive personality and conscientiousness on training motivation

Training transfer is a ubiquitous but frequently unmet goal of training initiatives amounting to billions of dollars lost annually and masses of under‐skilled workers due to the lack of application of training content to their job. Although research supports the impact trainee proactive personality, conscientiousness and motivation have on training transfer processes, their interrelationships remain understudied. To fill this gap, we utilized data from a multinational sample of trainees and examined a conditional, indirect process model, where proactive personality interacts with conscientiousness to influence transfer intentions through their effects on motivation to learn. Our results suggest that trainee proactive personality positively influences transfer intentions partially through its influence on motivation to learn and that higher levels of conscientiousness weakens this relationship. Our findings provide further evidence supporting the importance of proactive personality and conscientiousness as factors that need to be accounted for in the design of talent development solutions.     

Self‐regulated learning and training effectiveness

In recent years, training has shifted towards a more learner‐centred perspective. At the same time, rapidly changing workplaces emphasize the importance of self‐regulatory processes in the workplace. In the light of these trends, this research investigates the role of self‐regulated learning in training effectiveness. A theoretical model in which self‐regulated learning plays a central role in training evaluation was developed and validated using the structural equation method with a sample of 137 individuals. The results indicate that self‐regulated learning mediates the relationship between training climate and both transfer motivation and training evaluation. These findings indicate that the concept of self‐regulated learning plays a key role in the relationship between training context variables and organizational outcomes and offer new insights into the way organizations can improve training effectiveness.     

Employee post‐training behaviour and performance: evaluating the results of the training process

Despite the fact that firms invest in training, there is considerable evidence to show that training programmes often fail to achieve the intended result of improving worker and organization performance. The purpose of this paper is to examine the medium‐ to long‐term effects of training programmes on firms by means of an integrated research model combining the principal factors that the existing literature has shown to be related to training transfer and also by examining the relationship between training transfer and operational performance. The transfer factors chosen are training design, trainee self‐efficacy and work environment. The validity of this model is tested by applying the structural equation modelling approach to data from 126 employees who have participated in various training programmes in a number of Greek organizations. The results indicate that the design of a training programme has the strongest impact on post‐training job performance, along with trainees' self‐efficacy and post‐training behaviour.     

Employee participation in non‐mandatory professional development – the role of core proactive motivation processes

With a focus on the self‐initiated efforts of employees, this study examined a model of core proactive motivation processes for participation in non‐mandatory professional development (PD) within a proactive motivation framework using the Self‐Determination Theory perspective. A multi‐group SEM analysis conducted across 439 academic and general employees of an Australian regional University provided initial support for the model. Results indicated that when employees are autonomously motivated to participate in non‐mandatory PD, intrinsic benefits are the most salient aspiration that also mediate the influence of autonomous motivation on transfer implementation intentions. Extrinsic benefits are likely to be a secondary outcome which does not directly relate to transfer implementation intentions. Further research should replicate and extend this core model in other organizational settings where participation in non‐mandatory PD is a critical factor in the effectiveness of the organization.     

Individual influences on knowledge acquisition in a call center training context in Germany

From both a practical and a theoretical point of view, it is important to identify factors that foster knowledge acquisition in organizational training programs. Recent models of training effectiveness have proposed relationships between trainees’ characteristics and subsequent learning. The present study tested the impact of trainees’ pretraining expectations, post‐training reaction to training, expectation fulfillment and commitment on declarative knowledge acquisition, while controlling for education and motivation to learn. Participants were call center agents (N = 84), working in 10 call centers in Germany. Results showed that, in addition to education and motivation to learn, only expectation fulfillment significantly predicted learning. Implications for practice and future research were discussed.     

The moderating role of self‐efficacy in the organizational culture–training transfer relationship

This paper aims to examine the combined effects of self‐efficacy and organizational culture on employees' transfer of knowledge/skills acquired through training. The questionnaires were distributed to 252 newly hired employees working in a service organization in Greece. Each of the independent variables examined added incrementally to the prediction of training transfer. Moreover, self‐efficacy was found to act as a moderator in the organizational culture–training transfer relationship. High self‐efficacy was found to strengthen both achievement culture–training transfer as well as humanistic culture‐training transfer relationships, whereas low self‐efficacy weakened these relationships. The study has practical implications by providing insights into ways of engaging employees in transferring the skills acquired during training. This investigation extends previous research by demonstrating that self‐efficacy acts as an accentuating factor in the relationship between organizational culture orientations and new hires' transfer of training.     

Transfer of training: a case‐study of outsourced training for staff from Bhutan

The article examines the perceptions of managers, academics and technical staff in relation to the transfer of training resulting from their participation in out‐country training funded by Bhutan's Ministry of Education. Out‐country training refers to in‐service education, training and professional development programs, especially in relation to technical education, higher education and specialization courses undertaken abroad. The objective was to evaluate the effectiveness of out‐country training over a five‐year period to gauge the level of training transfer among three different types of participants. The methodology included surveying 149 Bhutanese out‐country training participants between 1999 and 2003. A representative sampling technique was used to select 58 academics, 46 managers and 45 technical support staff for inclusion in the survey. Semistructured in‐depth interviews were also conducted with 19 of these trainees across the three categories. Results of the study indicate high initial levels of motivation in all trainees, but a change in attitude toward their training once it was underway. On return to the workplace, participants reported even less confidence in their ability to transfer their learning compared to their confidence reported before the program began.     

The effects of training design,individual characteristics and work environment on transfer of training

This study aims to gain insight into some of the factors that determine the transfer of training to the work context. The present research examined the relationship between three types of predictors on transfer of training, including training design, individual characteristics and work environment. Data was collected at two points in time from 182 employees in a large grocery organization. The results indicated that transfer design, performance self‐efficacy, training retention and performance feedback were significantly related to transfer of training. Contrary to expectation, supervisory support was not significantly related to transfer of training. These results suggest that in order to enhance transfer of training, organizations should design training that gives trainees the ability to transfer learning, reinforces the trainee's beliefs in their ability to transfer, ensures the training content is retained over time and provides appropriate feedback regarding employee job performance following training activities.     

Adding Regret to Fear Appeals: When the Going Gets Difficult,Regret Gets Action

In accord with Protection Motivation Theory, this article finds fear appeals ineffective at motivating health protection behaviors perceived to be difficult; when task difficulty is high, there is a decrease in perceptions of self‐efficacy and a reduction in health protection behaviors. This research examines a novel way to motivate health protection when task difficulty is salient by adding regret to fear appeals. The inclusion of regret, an emotion that motivates corrective behavioral change, bolsters self‐efficacy and enhances health protection intentions. In fact, even when task difficulty is made salient, self‐efficacy and behavioral intentions remain strong in the fear plus regret condition. Thus, in contrast to straight fear appeals, adding regret to fear appeals results in a reversal effect enhancing self‐efficacy and behavioral intentions when task difficulty is made salient. This research highlights the independence of task difficulty, self‐efficacy, and the role of regret in motivating difficult health protection behaviors.     

The impact of support at the workplace on transfer of training: a study of an Indian manufacturing unit

This study aims to assess the individual impacts of two components of support at the workplace, namely, support from peers and supervisor, on transfer of training in a post‐training environment. Mediation by motivation to transfer in the relationship of supervisor and peer support with transfer of training has also been examined. Data on 149 respondent employees working in a manufacturing unit owned by a leading player in the power transmission business in India has been subject to hierarchical regression analysis. Results confirm the key role of supervisor support in transfer of learned skills. However, the impact of peers on transfer is found to be greater than that of supervisors. The findings prompt us to recommend that peers should be involved in publicizing post‐training experiences and benefits. Organizations and supervisors should encourage peers to motivate employees in applying training skills to the job by means of rewards and recognition. Overall the results contribute to a better understanding of support at workplace as a predictor of transfer.     

Implementing on‐the‐job training: critical success factors

Post Offices Inc. in The Netherlands has developed and implemented a new instruction model for the training of desk employees. The quality of the new instruction model was assessed by means of the evaluation model of Jacobs and Jones for on‐the‐job training. It is concluded that the implementation of the training model has not been completely successful. Critical success factors, such as the performance of the mentors as well as the quality of the self‐study material, have to be improved. Mentors are expected to serve as a behavioural model, to provide feedback, arrange an adequate environment for self‐study, motivate trainees for self‐study and evaluate trainees’ progress on a regular basis. This study shows that mentors must be fully convinced of the benefit of a new instructional model, if not, the implementation will not be successful. Besides, the study shows that the quality of the self‐study material depends very much on the similarity between the knowledge needed in work and the knowledge presented in the self‐study material.     

Competing models of entrepreneurial intentions

Why are intentions interesting to those who care about new venture formation? Entrepreneurship is a way of thinking, a way of thinking that emphasizes opportunities over threats. The opportunity identification process is clearly an intentional process, and, therefore, entrepreneurial intentions clearly merit our attention. Equally important, they offer a means to better explain—and predict—entrepreneurship.We don't start a business as a reflex, do we? We may respond to the conditions around us, such as an intriguing market niche, by starting a new venture. Yet, we think about it first; we process the cues from the environment around us and set about constructing the perceived opportunity into a viable business proposition.In the psychological literature, intentions have proven the best predictor of planned behavior, particularly when that behavior is rare, hard to observe, or involves unpredictable time lags. New businesses emerge over time and involve considerable planning. Thus, entrepreneurship is exactly the type of planned behavior Bird 1988, Katz and Gartner 1988 for which intention models are ideally suited. If intention models prove useful in understanding business venture formation intentions, they offer a coherent, parsimonious, highly-generalizable, and robust theoretical framework for understanding and prediction.Empirically, we have learned that situational (for example, employment status or informational cues) or individual (for example, demographic characteristics or personality traits) variables are poor predictors. That is, predicting entrepreneurial activities by modeling only situational or personal factors usually resulted in disappointingly small explanatory power and even smaller predictive validity. Intentions models offer us a significant opportunity to increase our ability to understand and predict entrepreneurial activity.The current study compares two intention-based models in terms of their ability to predict entrepreneurial intentions: Ajzen's theory of planned behavior (TPB) and Shapero's model of the entrepreneurial event (SEE). Ajzen argues that intentions in general depend on perceptions of personal attractiveness, social norms, and feasibility. Shapero argues that entrepreneurial intentions depend on perceptions of personal desirability, feasibility, and propensity to act. We employed a competing models approach, comparing regression analyses results for the two models. We tested for overall statistical fit and how well the results supported each component of the models. The sample consisted of student subjects facing imminent career decisions. Results offered strong statistical support for both models.(1) Intentions are the single best predictor of any planned behavior, including entrepreneurship. Understanding the antecedents of intentions increases our understanding of the intended behavior. Attitudes influence behavior by their impact on intentions. Intentions and attitudes depend on the situation and person. Accordingly, intentions models will predict behavior better than either individual (for example, personality) or situational (for example, employment status) variables. Predictive power is critical to better post hoc explanations of entrepreneurial behavior; intentions models provide superior predictive validity. (2) Personal and situational variables typically have an indirect influence on entrepreneurship through influencing key attitudes and general motivation to act. For instance, role models will affect entrepreneurial intentions only if they change attitudes and beliefs such as perceived self-efficacy. Intention-based models describe how exogenous influences (for eample, perceptions of resource availability) change intentions and, ultimately, venture creation. (3) The versatility and robustness of intention models support the broader use of comprehensive, theory-driven, testable process models in entrepreneurship research (MacMillan and Katz 1992). Intentional behavior helps explain and model why many entrepreneurs decide to start a business long before they scan for opportunities.Understanding intentions helps researchers and theoreticians to understand related phenomena. These include: what triggers opportunity scanning, the sources of ideas for a business venture, and how the venture ultimately becomes a reality. Intention models can describe how entrepreneurial training molds intentions in subsequent venture creation (for example, how does training in business plan writing change attitudes and intentions?). Past research has extensively explored aspects of new venture plans once written. Intentionality argues instead that we study the planning process itself for determinants of venturing behavior. We can apply intentions models to other strategic decisions such as the decision to grow or exit a business. Researchers can model the intentions of critical stakeholders in the venture, such as venture capitalists' intentions toward investing in a given company. Finally, management researchers can explore the overlaps between venture formation intentions and venture opportunity identification.Entrepreneurs themselves (and those who teach and train them) should benefit from a better understanding of their own motives. The lens provided by intentions affords them the opportunity to understand why they made certain choices in their vision of the new venture.Intentions-based models provide practical insight to any planned behavior. This allows us to better encourage the identification of personally-viable, personally-credible opportunities. Teachers, consultants, advisors, and entrepreneurs should benefit from a better general understanding of how intentions are formed, as well as a specific understanding of how founders' beliefs, perceptions, and motives coalesce into the intent to start a business. This understanding offers sizable diagnostic power, thus entrepreneurship educators can use this model to better understand the motivations and intentions of students and trainees and to help students and trainees understand their own motivations and intentions.Carefully targeted training becomes possible. For example, ethnic and gender differences in career choice are largely explained by self-efficacy differences. Applied work in psychology and sociology tells us that we already know how to remediate self-efficacy differences. Raising entrepreneurial efficacies will raise perceptions of venture feasibility, thus increasing the perception of opportunity.Economic and community development hinges not on chasing smokestacks, but on growing new businesses. To encourage economic development in the form of new enterprises we must first increase perceptions of feasibility and desirability. Policy initiatives will increase business formations if those initiatives positively influence attitudes and thus influence intentions. The growing trends of downsizing and outsourcing make this more than a sterile academic exercise. Even if we successfully increase the quantity and quality of potential entrepreneurs, we must also promote such perceptions among critical stakeholders including suppliers, financiers, neighbors, government officials, and the larger community.The findings of this study argue that promoting entrepreneurial intentions by promoting public perceptions of feasibility and desirability is not just desirable; promoting entrepreneurial intentions is also thoroughly feasible.     

Green consumers and their identities: how identities change the motivation for green consumption

This research aims to fill the gap in green consumption literature from the perspective of values as types of intentions and identity‐based motivation. In two studies, we examine how the salience of personal and social identities can change the relationship between types of intentions and green consumption. The results demonstrate that when personal identity is salient, self‐transcendence intentions influence green consumption more than self‐enhancement intentions. This is because personal identity (compared with social identity) increases the positive effect of congruent intentions (self‐transcendence) on green consumption. However, when social identity is salient, self‐transcendence and self‐enhancement intentions have a similar impact on green consumption. This is because social identity (compared with personal identity) reduces the negative effect of self‐enhancement intentions on green consumption. Finally, we discuss theoretical and managerial implications for values as types of intentions, identity‐based motivation and green consumption.     

Employees' perceptions of the opportunities to utilize their competences: exploring the role of perceived competence mobilization

Perceived competence mobilization is the degree to which employees perceive that they have adequate opportunities to utilize their competences in their current jobs. The findings of the research reported here suggest that employees' perceived competence mobilization is associated with a number of favourable employee attitudes, including intrinsic motivation, organizational commitment and intention to stay with the organization. Findings based on cross‐sectional data from 881 public workers indicate that perceived competence mobilization better predicts relevant employee attitudes than any of the other variables included. The indicated effect of perceived competence mobilization on intrinsic motivation overpowers the effect of self‐efficacy (perceived competence), one of the core variables of self‐determination theory. Perceived competence mobilization also appears to mediate many relationships involving self‐efficacy or perceived training opportunities. Hence, continued research into this construct is of potential value to researchers and organizations.