Implementation of IEQMS model in engineering educational institutions – a structural equation modelling approach

Pandi, A. Pal; Paranitharan, K.P.; Jeyathilagar, D.

doi:10.1080/14783363.2016.1154431

Cited by 15 publications

(13 citation statements)

References 54 publications

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“…14,16,25,27,29 The obtained results in this research corroborate those obtained by previous research in relation to its multidisciplinary conception. 25,31,32,45 They agree on recognizing the importance of the administration function, addressed by the mentioned authors. The validity of García-Fernández's approach 29 is also verified in relation to variables in the discipline of quality management.…”

Section: Discussionmentioning

confidence: 84%

“…The experts corroborated the existence of the variables observed in the literature and added others variables. Examples are as follows: "Sales management" due to the best product will have its success conditioned by the effort and skill of the seller and "Planning of human resources," 31 and Song et al 32 Quality management Planning; leadership; process management; product design information; staff training; technological capabilities Martins et al 27 and Camisó n and Puig-Denia 16 Human resources management Training; selection; motivation Alexander et al, 33 Azizi et al, 34 Guetat and Dakhli, 35 Banerjee, 36 and Karlsson 37…”

Section: Selection Of Variables Related To the Process Of Innovation mentioning

confidence: 99%

“…Variables and perspectives associated with innovation management. Pal Pandi et al31 and Song et al32 Quality management Planning; leadership; process management; product design information; staff training; technological capabilities Martins et al…”

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confidence: 99%

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Structural equations model to analyze the incidence of variables related to innovation management in organizations

Pérez-Campdesuñer

Ruiz

García-Vidal

et al. 2019

International Journal of Engineering Business Management

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Previous works have demonstrated the possibilities to influence the innovation process in organizations. Although the presented initiatives have their merits, they suffer from a lack of integrated perspective. They are focused on the evaluation of the link between the innovation process and only one of the subsystems of the administration, without considering the implications of the other subsystems. The aim of this article is to define a model of structural equations that summarizes the impact of the variables related to innovation management in organizations. This article first presents the identified variables according to the analyzed literature and then shows which variables were selected by consulting experts on the field. To measure the selected variables some questionnaires were elaborated. The questionnaires were applied in 111 entities of different production sectors. A confirmatory factorial analysis was developed with the obtained measures. Thanks to this analysis, it was possible to verify the incidence of the evaluated variables in the innovation management, allowing the elaboration of the model. The proposed model shows the link between the different variables that contribute to the innovation management process. The analysis confirmed that innovation, as a construct, has a multifactorial nature. The information used as input for the elaboration of the model allowed introducing a new sequence of innovation management from the integrated management of the variables that can influence it. This integrated management ensures effective human resources management, production, and marketing. The findings confirm that innovation needs to be managed in an integrated way with the rest of the administrative subsystems rather than as an isolated process. This way of working allows obtaining better results for the organizations. Based on the multisectorial nature of the research sample, it can be assumed that the obtained results can be corroborated in several fields.

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Section: Discussionmentioning

confidence: 84%

Section: Selection Of Variables Related To the Process Of Innovation mentioning

confidence: 99%

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Structural equations model to analyze the incidence of variables related to innovation management in organizations

Pérez-Campdesuñer

Ruiz

García-Vidal

et al. 2019

International Journal of Engineering Business Management

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“…Quality in higher education institute has three principal dimensions; namely the structure (inputs), the process and the outcome (outputs) (Pandi, 2016). Figure 2.3 shows quality dimensions in process related to higher education institute.…”

Section: Eec-he -Education Evaluation Commission For Higher Educationmentioning

confidence: 99%

“…Figure 2.3 shows quality dimensions in process related to higher education institute. In higher education, quality is achieved by performing the core functions and producing the major outcomes or outputs of teaching/learning (graduates), research, and community service (Pandi, 2016 ). Figure 2.3 The quality dimensions in higher education.…”

Section: Eec-he -Education Evaluation Commission For Higher Educationmentioning

confidence: 99%

A Roadmap Towards International Quality Standards for Higher Education Sector in Ksa

Memon¹,

Gangoor²

2017

Proceedings of the 30th International Academic Conference, Venice

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Revisiting Diffusion Models: Portuguese Integrated Management Systems Evolution

Cabecinhas

Domingues

Sampaio

et al. 2019

Studies in Systems, Decision and Control

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Implementation of IEQMS model in engineering educational institutions – a structural equation modelling approach

Cited by 15 publications

References 54 publications

Structural equations model to analyze the incidence of variables related to innovation management in organizations

Structural equations model to analyze the incidence of variables related to innovation management in organizations

A Roadmap Towards International Quality Standards for Higher Education Sector in Ksa

Revisiting Diffusion Models: Portuguese Integrated Management Systems Evolution

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