System thinking in single- and double-loop learning on the perceptions of improving ships’ repair performance

Al-Raqadi, Ali M. S.; Rahim, Abdul; Masrom, Maslin; Al-Riyami, B. S. N.

doi:10.1007/s13198-015-0353-7

Cited by 7 publications

(9 citation statements)

References 50 publications

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“…In fact this is where the 'economy' would normally commence and where only necessary maintenance and material are incorporated in the original work-package/specification and not as stipulated by Original Equipment Manufacturers (OEMs) (Maguad, 2006). This is necessary to bring an overall saving in production but it requires consistency in learning, and double-loop learning, involving competency in proficiency and concentration in workplace diversity (Argyris, 1976;Argyris & Schon, 1978;Mintzberg, 1991;Smith, 2004;Al-Raqadi et al, 2015b). This is the time for the QASs to compare the specified or built data from the ship builders and the OEMs with current data and to discover whether the values remain within acceptable economic limits.…”

Section: Quality Management Through Proficiency Concentration and Efmentioning

confidence: 99%

“…As in Al-Raqadi, et al, (2015a, 2015b, data were collected from October to December 2013 using five organisations that collectively share the same objectives. The five organisations used encompass (1) Deciders of Service/Planners, Customer and Platforms Operation Groups, (2) Providers of Service within the Omani dockyard and other organisations including (3) Provider of Material, (4) Operation and drafting and (5) Personnel and Training.…”

Section: Sampling Designmentioning

confidence: 99%

“…The sample size was in accordance with the method for determining sample size and the population was 100% male encompassing logisticians, engineers, technicians, administrators and managers with vast experience (Krejcie & Morgan, 1970). As in Al-Raqadi, et al, (2015a, 2015b sample size was also determined using a method for computing power (sample size) for regression coefficient based on the power value of .8 (7.85) at 95 % CI and alpha value of .05; the effect size measure for regression coefficient used is .15 (Cohen, 1988). Cohen (1988) suggests that smaller effect size yields more sample size; and three predictors (proficiency, concentration and effectiveness of training) were used.…”

Section: Sampling Designmentioning

confidence: 99%

“…Ships' upkeep and repair support organisational learning performance require enforcement of quality superimposed by constancy of proficiency, concentration and effectiveness of training in single-and double-loop learning (Al-Raqadi et al, 2015b). Having critically reviewed the literature, it is reiterated that enhancement of competencies in business is necessary so as to be in a position to meet the needs of organizational learning performance.…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

“…Performance and quality should therefore work together for the purpose of an overall system under maintenance to deliver optimum availability (Yuniarto & Osada, 2009;Raper, 1970). The use of performance requires a good system (single-loop learning) and performance management themselves (double-loop learning) to improve quality of performance (Van Dooren, 2011;Al-Raqadi et al, 2015b). The foregoing and other factors are the processes that require the maintenance of efforts by those involved encompassing the relationship and contribution of proficiency, concentration (Mintzberg, 1991;Jashapara, 2003;King & Zeithaml, 2001;Long & Ismail, 2011) SO1: To investigate proficiency, concentration and the effectiveness of training relationships with ships' upkeep and repair support organisational learning performance.…”

Section: Introductionmentioning

confidence: 99%

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Learning Quality Management for Ships’ Upkeep and Repair Environment

Al-Raqadi¹,

Rahim²,

Masrom³

et al. 2015

ASS

Self Cite

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Ships Quality Management (QM) in a naval disciplined repair environment is under significant demands. The purpose of this paper is to emphasise the requirement for the establishment of quality management. Quality management is essential to support operations, work preparation and formulation, material replenishment, repairs and trial processes to enhance productivity and availability. Quality Assurance (QA) and Quality Control (QC) encompassing Reliability Centred Maintenance (RCM), Condition Based Maintenance (CBM) and Failure Modes, Effectiveness and Criticality Analysis (FMECA) are required to monitor Preventive and Corrective Maintenance with the aim of heading towards ISO. The QA and QC processes should be in line with a complete survey, Pre Upkeep Machinery Assessments (PUMA), Dynamic Machinery Trials (DMT) to predict and formulate the intended refurbishment followed by post upkeep standard trials. The whole process can be boosted when health and safety are integrated. The research instrument was based on the dedicated constructs to predict the 'mindsets/opinions' of employees in their perceptions of future improvement. The variables-hypotheses were inferentially analyzed (correlated and regressed). They were found to be positively related and significantly contributed to the ships' upkeep support performance. The implication of this study is to understand the strength of the research framework and to make proposals for the enhancement of quality management in line with the variables.

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Section: Quality Management Through Proficiency Concentration and Efmentioning

confidence: 99%

Section: Sampling Designmentioning

confidence: 99%

Section: Sampling Designmentioning

confidence: 99%

Section: Conclusion and Recommendationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Learning Quality Management for Ships’ Upkeep and Repair Environment

Al-Raqadi¹,

Rahim²,

Masrom³

et al. 2015

ASS

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Developing ships’ repair OI and OP in the Omani dockyard: co-association of proficiency, efficiency and concentration in the knowledge environment

Al-Raqadi

2019

Int J Syst Assur Eng Manag

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Maintaining knowledge and competencies in a public organization remains a challenging approach. The purpose of this study is to test and engage the organization through continuous 'proficiency' and 'efficiency' as the independent variables (IV), and 'concentration' as the mediating variable (MV), to understand the practitioners for development of organizational innovation (OI) and organizational performance (OP) as the dependent variables (DV). The paper intends to develop an understanding of the constructs' relationships and their contributing effects to ships' OI and OP in the Sultanate of Oman using a dedicated research framework. The mediating role of concentration drove and assisted all the variables. Proficiency, innovation and concentration employ single-and double-loop learning (adaptive and generative learning) to envision the entire process. Statistical methods were used to analyze the opinions of a large population (n = 362) for improvement. The research instrument was adapted/modified to suit the required study, following a ''probabilitysimple random sampling design''. The hypothetical research framework was designed on the perceptions of understanding the practitioners/behaviour of the variables to develop OI and OP and to strengthen the availability of operational ships in a knowledge environment. The positive relation of IV, MV and DV were noted and, using Sobel mediation of MV, the results were found to be directly and indirectly significant leading to rejection of proposed hypotheses. These results were required to learn from the practitioner and to encourage further work on the necessary disciplines of naval ships' repair innovation and performance for the participation and application of distinctive disciplines associated with knowledge and competencies (K&C). The requirements are outlined in both the discussion and conclusion, superimposed by K&C frameworks to contribute and develop improvement of OI and OP in the knowledge environment.

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Progressive evolutionary frameworks: application of ‘a system of forces’ and EoT for OPMP/SURSP

Al-Raqadi

2019

Int J Syst Assur Eng Manag

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System thinking in single- and double-loop learning on the perceptions of improving ships’ repair performance

Cited by 7 publications

References 50 publications

Learning Quality Management for Ships’ Upkeep and Repair Environment

Learning Quality Management for Ships’ Upkeep and Repair Environment

Developing ships’ repair OI and OP in the Omani dockyard: co-association of proficiency, efficiency and concentration in the knowledge environment

Progressive evolutionary frameworks: application of ‘a system of forces’ and EoT for OPMP/SURSP

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