Self-efficacy’s role in success of quality training programmes

2019 ◽  
Vol 51 (1) ◽  
pp. 24-39 ◽  
Author(s):  
Arvinder P.S. Loomba ◽  
Rex Karsten
Keyword(s):  
Quality Improvement ◽  
Self Efficacy ◽  
Programme Implementation ◽  
Quality Initiatives ◽  
Quality Performance ◽  
Content Type ◽  
Proposed Model ◽  
And Performance ◽  
Training Programmes ◽  
Performance Success

PurposeThe purpose of this paper is to explore why some firms succeed while others flounder or fail to implement quality improvement programmes. It synthesises self-efficacy literature to propose a model of self-efficacy’s role in affecting implementation success of quality improvement programmes in organisations.Design/methodology/approachA review of scholarly articles on the topics of self-efficacy and quality initiatives brings to light self-efficacy’s role in successful quality programme implementation. When considered in the context of organisation barriers, it can lead to organisational success.FindingsIt is determined that quality training programmes play an important role in affecting existing efficacies and leading to “quality self-efficacy” in employees. The proposed model and related propositions suggest that right approaches of implementing quality training among certain types of employees and/or organisations can promote teamwork to achieve performance success.Research limitations/implicationsMoving forward, the proposed model should be empirically tested to improve our understanding of quality self-efficacy construct and its role in aiding organisational success. Furthermore, it would offer guidelines for the implementation of quality programmes in the most optimal way.Practical implicationsIn applying theories on self-efficacy, motivation, empowerment, and quality training, the authors posit that existing efficacy and quality self-efficacy are crucial for quality implementation efforts to overcome organisational barriers and lead to effective teamwork and performance success.Social implicationsThe authors postulate that deciding factors for organisational success originate from employees themselves as existing efficacies. Even though employees can foster quality self-efficacy through the implementation of quality improvement initiatives, existing self-efficacy, and organisation barriers will be moderating forces on eventual effectiveness of quality self-efficacy, teamwork, and organisational performance.Originality/valueThe model and related propositions, linking self- and collective efficacies to quality training, teamwork, and quality performance, offered in this paper will prove useful for organisational decision-makers in selecting quality programmes for implementation in organisation to achieve performance success.

Leader–follower narcissism and subgroup formation in teams: a conceptual model

2019 ◽  
Vol 34 (6) ◽  
pp. 429-442 ◽  
Author(s):  
Manuel London
Keyword(s):  
Team Performance ◽  
Team Identification ◽  
Goal Congruence ◽  
Content Type ◽  
Team Outcomes ◽  
Performance Pressure ◽  
Proposed Model ◽  
Leaders And Followers ◽  
Trait Activation ◽  
And Performance

Purpose Drawing on existing theory, a model is developed to illustrate how the interaction between leaders and followers similarity in narcissism and goal congruence may influence subgroup formation in teams, and how this interaction influences team identification and team performance. Design/methodology/approach The proposed model draws on dominance complementary, similarity attraction, faultline formation and trait activation theories. Findings Leader–follower similarity in narcissism and goal congruence may stimulate subgroup formation, possibly resulting in conformers, conspirators, outsiders and victims, especially when performance pressure on a team is high. Followers who are low in narcissism and share goals with a leader who is narcissistic are likely to become conformers. Followers who are high in narcissism and share goals with a narcissistic leader are likely to become confederates. Followers who do not share goals with a narcissistic leader will be treated by the leader and other members as outsiders if they are high in narcissism, and victimized if they are low in narcissism. In addition, the emergence of these subgroups leads to reduced team identification and lower team performance. Practical implications Higher level managers, coaches and human resource professions can assess and, if necessary, counteract low team identification and performance resulting from the narcissistic personality characteristics of leaders and followers. Originality/value The model addresses how and under what conditions narcissistic leaders and followers may influence subgroup formation and team outcomes.

Performance measurement and resource sharing among business sub-units in the presence of non-discretionary factors

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rita Shakouri ◽  
Maziar Salahi
Keyword(s):  
Resource Sharing ◽  
Content Type ◽  
Development Level ◽  
Proposed Model ◽  
Decision Making Unit ◽  
Efficiency Estimation ◽  
Overall Efficiency ◽  
And Performance ◽  
The Right ◽  
The Impact

Purpose This paper aims to apply a new approach for resource sharing and efficiency estimation of subunits in the presence of non-discretionary factors and partial impacts among inputs and outputs in the data envelopment analysis (DEA) framework. Design/methodology/approach First, inspired by the Imanirad et al.’s model (2013), the authors consider that each decision-making unit (DMU) may consist of several subunits, that each of which can be affected by non-discretionary inputs. After that, the Banker and Morey’s model (1996) is used for modeling non-discretionary factors. For measuring performance of several subunits, which can be considered as DMUs, the aggregate efficiency is suggested. At last, the overall efficiency is computed and compared with each other. Findings One of the important features of proposed model is that each output in this model applies discretionary input according to its need; therefore, the result of this study will make it easier for the managers to make better decisions. Also, it indicates that significant predictions of the development of the overall efficiency of DMUs can be based on observing the development level of subunits because of the influence of non-discretionary input. Therefore, the proposed model provides a more reasonable and encompassing measure of performance in participating non-discretionary and discretionary inputs to better efficiency. An application of the proposed model for gaining efficiency of 17 road patrols is provided. Research limitations/implications More non-discretionary and discretionary inputs can be taken into consideration for a better analysis. This study provides us with a framework for performance measures along with useful managerial insights. Focusing upon the right scope of operations may help out the management in improving their overall efficiency and performance. In the recent highway maintenance management systems, the environmental differences exist among patrols and other geotechnical services under the climate diverse. Further, in some cases, there might exist more than one non-discretionary factor that can have different effects on the subunits’ performance. Practical implications The purpose of this paper was to measure the performance of a set of the roadway maintenance crews and to analyze the impact of non-discretionary inputs on the efficiency of the roadway maintenance. The application of the proposed model, on the one hand, showed that each output in this model uses discretionary input according to its requirement, and on the other hand, the result showed that meaningful predictions of the development of the overall efficiency of DMUs can be based on observing the development level of subunits because of the impact of non-discretionary input. Originality/value Providing information on resource sharing by taking into account non-discretionary factors for each subunit can help managers to make better decisions to increase the efficiency.

Educational impact of a pilot paediatric simulation-based training course in Botswana

2019 ◽  
Vol 6 (5) ◽  
pp. 279-283
Author(s):  
Nicolaus W Glomb ◽  
Manish I Shah ◽  
Adeola A Kosoko ◽  
Cara B Doughty ◽  
Cafen Galapi ◽  
...  
Keyword(s):  
Test Scores ◽  
Self Efficacy ◽  
Limited Resource ◽  
Knowledge And Skills ◽  
Training Course ◽  
Resource Setting ◽  
Simulation Based ◽  
And Performance ◽  
Training Programmes ◽  
The Impact

BackgroundAs emergency medical services (EMS) systems develop globally in resource-limited settings, equipping providers with paediatric training is essential. Low-fidelity simulation-based training is an effective modality for training healthcare workers, though limited data exist on the impact of such training programmes. The objective of this study was to evaluate the paediatric portion of a simulation-based curriculum for prehospital providers in Botswana.MethodsThis was a prospective cohort study of EMS providers from more populated regions of Botswana, who attended a 2-day training that included didactic lectures, hands-on skills stations and low-fidelity simulation training. We collected data on participant self-efficacy with paediatric knowledge and skills and performance on both written and simulation-based tests. Self-efficacy and test data were analysed, and qualitative course feedback was summarised.ResultsThirty-one EMS providers participated in the training. Median self-efficacy levels increased for 13/15 (87%) variables queried. The most notable improvements were observed in airway management, newborn resuscitation and weight estimation. Mean written test scores increased by 10.6%, while mean simulation test scores increased by 21.5% (p<0.0001). One hundred per cent of the participants rated the course as extremely useful or very useful.Discussion/ConclusionWe have demonstrated that a low-fidelity simulation-based training course based on a rigorous needs assessment may enhance short-term paediatric knowledge and skills for providers in a developing EMS system in a limited-resource setting. Future studies should focus on studying larger groups of learners in similar settings, especially with respect to the impact of educational programmes like these on real-world patient outcomes.

Convergence between performance and amateur management of a social organisation

2019 ◽  
Vol 68 (8) ◽  
pp. 1493-1509
Author(s):  
Victor Meyer Jr ◽  
Diórgenes Falcão Mamédio ◽  
Alechssandra Ressetti Oliveira ◽  
Natália Brasil Dib
Keyword(s):  
Performance Management ◽  
Social Inclusion ◽  
Participant Observation ◽  
Study Data ◽  
Content Type ◽  
Community Values ◽  
Environmental Care ◽  
Ethnographic Interviews ◽  
Proposed Model ◽  
And Performance

Purpose Understanding social organisations requires considerable effort because of their complex reality. The purpose of this paper is to analyse the performance and amateur form of management of an organisation of scavengers, with significant results for society. Design/methodology/approach This study is a qualitative in-depth case study. Data were collected through ethnographic interviews, non-participant observation and document analysis. The association of scavengers in question was identified as being strongly representative of the 23 similar associations in Curitiba. The city is the first Brazilian capital to create conditions for direct disposal of selective waste collected by waste pickers, as recommended by the National Solid Waste Policy. Findings Three main aspects of evidence are highlighted in the proposed model: unique features, performance management and multiplicity of practices. The findings showed a strong presence of utilitarian behaviour due to the need of the members of the organisation to generate income for survival, forcing social and environmental concerns into the background. The combination of community values, informal practices, collective learning and amateur management has had a positive effect on the social organisation’s performance. Social implications The outcomes were identified for individuals, the community and society by contributing to social inclusion, economic growth and environmental care. Originality/value The differentiated approach lies in the convergence between performance and amateur management in social organisations, with relevant environmental, economic and social results. A model is proposed to demonstrate the complex relationship between unique features, multiplicity of practices and performance with regard to the amateur management analysed in this study.

Enabling continuous learning and quality improvement in health care

2018 ◽  
Vol 31 (6) ◽  
pp. 587-599 ◽  
Author(s):  
Robert William Smith ◽  
Elaina Orlando ◽  
Whitney Berta
Keyword(s):  
Quality Improvement ◽  
Organizational Learning ◽  
Performance Management ◽  
Future Research ◽  
Performance Management System ◽  
Continuous Learning ◽  
Learning Models ◽  
Content Type ◽  
Organizational Learning Theory ◽  
And Performance

Purpose The purpose of this paper is to examine how the design and implementation of learning models for performance management can foster continuous learning and quality improvement within a publicly funded, multi-site community hospital organization. Design/methodology/approach Niagara Health’s patient flow performance management system, a learning model, was studied over a 20-month period. A descriptive case study design guided the analysis of qualitative observational data and its synthesis with organizational learning theory literature. Emerging from this analysis were four propositions to inform the implementation of learning models and future research. Findings This performance management system was observed to enable: ongoing performance-related knowledge exchange by creating opportunities for routine social interaction; collective recognition and understanding of practice and performance patterns; relationship building, learning for improvement, and “higher order” learning through dialogue facilitated using humble inquiry; and, alignment of quality improvement efforts to organizational strategic objectives through a multi-level feedback/feed-forward communication structure. Research limitations/implications The single organization and descriptive study design may limit the generalizability of the findings and introduce confirmation bias. Future research should more comprehensively evaluate the impact of learning models on organizational learning processes and performance outcomes. Practical implications This study offers novel insight which may inform the design and implementation of learning models for performance management within and beyond the study site. Originality/value Few studies have examined the mechanics of performance management systems in relation to organizational learning theory and research. Broader adoption of learning models may be key to the development of continuously learning and improving health systems.

Internet usage, user satisfaction, task-technology fit, and performance impact among public sector employees in Yemen

2017 ◽  
Vol 34 (3) ◽  
pp. 210-241 ◽  
Author(s):  
Osama Isaac ◽  
Zaini Abdullah ◽  
T. Ramayah ◽  
Ahmed M. Mutahar
Keyword(s):  
Factor Analysis ◽  
User Satisfaction ◽  
Positive Impact ◽  
Internet Usage ◽  
Performance Impact ◽  
Content Type ◽  
Actual Usage ◽  
Proposed Model ◽  
Task Technology Fit ◽  
And Performance

Purpose The internet technology becomes an essential tool for individuals, organizations, and nations for growth and prosperity. The purpose of this paper is to integrate the DeLone and McLean IS success model with task-technology fit (TTF) to explain the performance impact of Yemeni Government employees. Design/methodology/approach Questionnaire survey method was used to collect primary data from 530 internet users among employees within all 30 government ministries-institutions in Yemen. The four constructs in the proposed model were measured using existing scales. The data analysis starts with initial exploratory factor analysis, then confirmatory factor analysis and lastly structural equation modeling via AMOS. Findings The results showed that the proposed integrated model fits the data well. Findings of the multivariate analysis demonstrate four main results. First, actual usage has a strong positive impact on user satisfaction, TTF, and performance impact. Second, user satisfaction has a great influence on performance impact. Third, TTF has a strong positive impact on user satisfaction and performance impact. Fourth, both user satisfaction and TTF mediate the relationship between the actual usage and performance impact. Research limitations/implications The public sector in Yemen contains three parts: Yemeni prime minister, Yemeni ministries, and government agencies. This study focuses only on the Yemeni employees among Yemeni ministries; hence the results are not necessarily generalizable. Moreover, there are biases when the researcher measures the actual Internet usage variable through asking a participant about their opinion regarding their usage because these are generally found to differ from the true score of system usage. Practical implications The findings should be very useful for the Yemeni Government in presenting the importance of information technology effects on individual efficiency and effectiveness. Therefore, the information from these findings should encourage and support the formation of future policy at the organizational level and national level. If the government utilizes these findings by setting up strategies to promote internet usage, this may, in turn, improve professional practice, personal development, and quality of working life. Originality/value This paper adds to the existing literature of information systems by combining actual technology usage, user satisfaction, and TTF to predict performance impact within the organizations. Furthermore, this study proposed a second-order model of performance impact in order to increase the power of explaining the output by the model, which contains four first-order constructs: process, knowledge acquisition, communication quality, and decision quality. The predictive power of the proposed model has a higher ability to explain and predict performance impact compared to those obtained from some of the previous studies.

scholarly journals Big data, technology capability and construction project quality: a cross-level investigation

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Linhua Sang ◽  
Mingchuan Yu ◽  
Han Lin ◽  
Zixin Zhang ◽  
Ruoyu Jin
Keyword(s):  
Big Data ◽  
Quality Improvement ◽  
Project Management ◽  
Construction Project ◽  
Short Time Interval ◽  
Quality Performance ◽  
Content Type ◽  
Project Quality ◽  
Technology Capability ◽  
The Relationship

PurposeEmbracing big data has been at the forefront of research for project management. Although there is a consensus that the adoption of big data has significantly positive impact on project performance, far less is known about how this innovative information technology becomes an effective driver of construction project quality improvement. This study aims to better understand the mechanism and conditions under which big data can effectively improve project quality performance.Design/methodology/approachAdopting Chinese construction enterprises as samples, the theoretical framework proposed in this paper is verified by the empirical results of the two-level hierarchical linear model. The moderated mediation analysis is also conducted to test the hypotheses. Finally, the empirical findings are validated by a comparative case study.FindingsThe results show that big data facilitates the development of technology capability, which further produces remarkable quality performance. That is, a project team's technology capability acts as a mediator in the relationship between organizational adaptability of big data and predictive analytics and project quality performance. It is also observed that two types of project team interdependence (goal and task interdependence) positively moderate the mediation effect.Research limitations/implicationsThe questionnaire study from China only represents the relationship within a short time interval in the current context. Future studies should apply longitudinal designs to properly test the causality and use multiple data sources to ensure the validity and robustness of the conclusions.Practical implicationsThe value of big data in terms of quality improvement could not be determined in a vacuum; it also depends on the internal capability development and elaborate design of project governance.Originality/valueThis study provides an extension of the existing big data studies and fuels the ongoing debate on its actual outcomes in project management. It not only clarifies the direct effect of big data on project quality improvement but also identifies the mechanism and conditions under which the adoption of big data can play an effective role.

Development of quantitative model to investigate the strategic relationship between information quality and e-government benefits

2015 ◽  
Vol 9 (3) ◽  
pp. 324-351 ◽  
Author(s):  
Hussain Alenezi ◽  
Ali Tarhini ◽  
Sujeet Kumar Sharma
Keyword(s):  
Quality Improvement ◽  
Conceptual Model ◽  
Information Quality ◽  
Stepwise Multiple Regression ◽  
Quantitative Methodology ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Content Type ◽  
And Performance ◽  
Government Benefits

Purpose – This paper aims to investigate the relationship between improvements in information quality and the benefits and performance of e-government organizations. As information quality is multi-dimensional measure, it is very crucial to determine what aspects of it are critical to organizations to help them to devise effective information quality improvement strategies. These strategies are potentially capable of changing government organizational structures and business processes. It examines the nature, direction and strength of the connections between information quality and the success of e-government initiatives. A conceptual model by means of which organizations performance and information quality research can be viewed is proposed and validated in Kuwait. Design/methodology/approach – The study used a quantitative methodology to investigate the causal paths. A cross-sectional survey was completed by 268 employees positioned in the Kuwait Government ministries. Each of the main effect hypotheses was analyzed using stepwise multiple regression with stepwise selection. Findings – It was found that the relationships between information quality and strategic benefits along with institutional value were in upright agreement. Our statistical analysis highlighted that improvement in different aspects of information quality can lead to a better organizational image. Specifically, usability and usefulness attributes of information quality came on the top of the key influencers on both strategic benefits and institutional value. Originality/value – This is the first study which adequately covers the relationships between information quality and organizations performance in Kuwait. Based on our evaluation, the authors propose a conceptual model to assist in studying the effects of information quality improvement on e-government benefits and performance.

Training in positive behavioural support: increasing staff self-efficacy and positive outcome expectations

2016 ◽  
Vol 21 (2) ◽  
pp. 95-102 ◽  
Author(s):  
Greg Stocks ◽  
Sean Slater
Keyword(s):  
Self Efficacy ◽  
Repeated Measures ◽  
Outcome Expectations ◽  
Training Model ◽  
Training Programme ◽  
Positive Outcome ◽  
Content Type ◽  
Repeated Measures Design ◽  
Training Programmes ◽  
The Impact

Purpose – The purpose of this paper is to investigate the impact of a six-and-a-half day, Positive Behaviour Support (PBS) informed training course on staff’s self-efficacy and outcome expectations of managing challenging behaviour (CB). Training programmes for other non-psychology staff were deemed necessary due to the high demand for services and the specialist knowledge held by other professionals or carers. Design/methodology/approach – A repeated measures design was used to capture changes in specific self-efficacy and outcome expectations before and after the training programme. A questionnaire methodology was employed. Findings – Staff self-efficacy and positive outcome expectations increased on all four measured variables following training: understanding of CB, working out the functions of CB, developing and implementing a PBS plan, and managing CB for the benefit of the service user. Research limitations/implications – These findings are considered in light of previous research suggesting an impact on staff practice and burnout. Practical implications – The findings suggest that the training model delivers changes in staff cognition and may be useful in other locations where demand for services is likely to increase in the future. Originality/value – This research considers the impact of a medium length PBS training on staff cognition, evidencing the model’s utility in the current service context.

Help chain in companies undergoing a lean implementation

2018 ◽  
Vol 9 (1) ◽  
pp. 113-132 ◽  
Author(s):  
Guilherme Tortorella ◽  
Diego Fettermann
Keyword(s):  
Performance Indicators ◽  
Success Factors ◽  
Operational Performance ◽  
Quality Performance ◽  
Lean Implementation ◽  
Content Type ◽  
Critical Success ◽  
The Subject ◽  
And Performance ◽  
Validated Instrument

Purpose The purpose of this paper is to propose an instrument for assessing the relationships between the critical success factors (CSFs) that promote help chain, providing means to enhance overall equipment effectiveness (OEE) and quality performance in companies undergoing a lean implementation. Design/methodology/approach The aforementioned relationships were determined and validated through a survey carried out with 50 Brazilian manufacturers. The authors, thus, provide an empirically validated instrument for assessing help chain CSFs and their impact on key operational performance indicators with no parallel in the existing literature. Quality (incidence of scrap and rework in manufacturing processes) and OEE (overall equipment effectiveness measured in percentage) were chosen as performance indicators because of their recognized relevance in previous research related to help chain approach. Findings The results of this paper show that the size of the company and CSFs have a significant relationship with quality. However, for OEE, time of lean implementation seems to be significantly important to predict its performance. Originality/value Identifying relevant relationships between CSFs and performance indicators may contribute to specify the context in which problems are expected to occur. With that knowledge, manufacturers will be able to emphasize the development of such factors that tend to improve their operational performance. Therefore, possible correlations are investigated to obtain a clearer comprehension around the subject and enable a better understating over the boundary conditions that surround the problem.

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