scholarly journals The Analysis of the Factors Affecting the Implementation of Virtual R&D in Iranian Tile and Ceramic Companies Using Structural Equation Modeling Approach

2019 ◽  
Vol 3 (4) ◽  
pp. 86-96
Author(s):  
Abolfazl Akhondzadeh
Keyword(s):  
Research And Development ◽  
Virtual Teams ◽  
Structural Equation ◽  
Structural Modeling ◽  
Research Strategy ◽  
International Standards ◽  
Equation Modeling ◽  
Interpretive Structural Modeling ◽  
The Past ◽  
Modeling Approach

Authors: Abolfazl Akhondzadeh, ORCID: https://orcid.org/0000-0001-8160-3425 Master of Science, PhD Candidate, Researcher, Yazd University of Science and Art, Iran Pages: 86-96 DOI: http://doi.org/10.21272/sec.3(4).86-96.2019 Download: Views: Downloads: 43 6 Abstract The final goal of this study is to provide a model with structural modeling approach of virtual R & D implementation in Iranian ceramic tile companies and small and medium-sized industries and services are one of the broadest fields of activity of manufacturing and economic enterprises that are of great importance. Accordingly, the establishment and expansion of research and development systems in order to infuse new sciences and technologies into this industry is of great importance. Over the past few decades, in a highly competitive market, the development of new products has long been considered as a major contributing factor to the survival and growth of SMEs and manufacturing units and economic enterprises have a great desire to create and develop R & D and investment systems for their efficiency so the necessity of conducting this research was created for Iranian companies because SMEs are considered as engines of economic growth, particularly in developing countries and in a day-to-day market for freedom, the survival and continuity of SMEs depend on their ability to enhance their performance and production that are in accordance with international standards. The questionnaires and interviews used to examine the research questions. It was distributed among 114 experts after ensuring the reliability and validity. The research strategy is a survey-correlation questionnaire that has been compiled by a researcher-made questionnaire. The results of this study showed that the technology structure in virtual teams does not directly affect the implementation of virtual R & D. The knowledge structure of the individuals and the process structure can have a direct effect on the implementation of virtual R & D in the other hand this paper acknowledges the progress made over the past several decades, it focuses on the challenges and limits of Iranian Tile and Ceramic Companies. Keywords: virtual research and development, small and medium-sized industries, interpretive structural modeling, virtual teams.

Analysis of interaction among the barriers to 5S implementation using interpretive structural modeling approach

2017 ◽  
Vol 24 (7) ◽  
pp. 1834-1853 ◽  
Author(s):  
Rajesh Attri ◽  
Bhupender Singh ◽  
Sunil Mehra
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Structural Modeling ◽  
Equation Modeling ◽  
Successful Implementation ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Modeling Approach ◽  
Manufacturing Organizations ◽  
Top Management Commitment

Purpose The purpose of this paper is to ascertain and analyze the interactions among different barriers of 5S implementation in manufacturing organizations. Design/methodology/approach In this paper, 15 barriers affecting the implementation of 5S in manufacturing organizations have been identified from literature analysis and discussion with academic and industrial experts. Afterwards, identified barriers were validated by using nation-wide questionnaire-based survey. Then, interpretive structural modeling (ISM) approach has been utilized to find out the interaction among the identified barriers in order to develop hierarchy-based model. Findings The research identifies several key barriers which have high driving power and weak dependence power. In this concern, these barriers entail extreme care and handling for successful implementation of 5S. Financial constraints, lack of top management commitment, and no proper vision and mission are found to be the key barriers. Research limitations/implications The developed ISM model is based on experts’ opinion. This developed hierarchy-based model requires further validation by using structural equation modeling approach or by performing detailed case studies. Originality/value In this paper, ISM-based structural model has been recommended for Indian manufacturing organizations, which is a novel exertion in the area of 5S implementation.

Modeling lean manufacturing success

2018 ◽  
Vol 13 (4) ◽  
pp. 908-931 ◽  
Author(s):  
Morteza Ghobakhloo ◽  
Masood Fathi ◽  
Dalila Benedita Machado Martins Fontes ◽  
Ng Tan Ching
Keyword(s):  
Structural Equation Modeling ◽  
Lean Manufacturing ◽  
Structural Equation ◽  
Human Resources Management ◽  
Structural Modeling ◽  
Equation Modeling ◽  
Future Research ◽  
Management Support ◽  
Interpretive Structural Modeling ◽  
Content Type

Purpose The purpose of this study is to contribute to the existing knowledge about the process of achieving Lean Manufacturing (LM) success. Design/methodology/approach This study uses interpretive structural modeling and captures the opinions of a group of LM experts from a world-class Japanese automobile manufacturer, to map the interrelationships among potential determinants of LM success. This study further uses the data from a survey of 122 leading automobile part manufacturers by performing structural equation modeling to empirically test the research model proposed. Findings Management support and commitment, financial resources availability, information technology competence for LM, human resources management, production process simplicity, supportive culture and supply chain-wide integration are the key determinants that directly or indirectly determine the level of achievement of LM success. Research limitations/implications The determinants of LM success as experienced by Asian automobile manufacturers might be different from determinants of LM success as experienced by Western automobile manufacturers. An interesting direction for future research would be to capture the experts’ inputs from Western automobile manufacturers to complement the findings of this study. Practical implications The practical contribution of this study lays in the development of linkages among various LM success determinants. Utility of the proposed interpretive structural modeling and structural equation modeling methodologies imposing order, direction and significance of the relationships among elements of LM success assumes considerable value to the decision-makers and LM practitioners. Originality/value Building on opinions of a group of LM experts and a case study of leading auto part manufacturers, the present study strives to model the success of LM, a topic that has received little attention to date.

Modeling the key barriers to lean construction using interpretive structural modeling

2017 ◽  
Vol 12 (4) ◽  
pp. 652-670 ◽  
Author(s):  
Sorokhaibam Khaba ◽  
Chandan Bhar
Keyword(s):  
Structural Equation ◽  
Resistance To Change ◽  
Structural Modeling ◽  
Lean Construction ◽  
Equation Modeling ◽  
Interpretive Structural Modeling ◽  
Lean Implementation ◽  
Content Type ◽  
Micmac Analysis ◽  
Relationship Of

Purpose The purpose of this study is to identify and analyze the key barriers to lean implementation in the construction industry using interpretive structural modeling (ISM) and Matrice d’ Impacts Croisés-Multiplication Appliquée á un Classement (MICMAC) analysis. Design/methodology/approach In this study, 13 barriers to lean construction (LC) have been identified through extensive review of literature and subsequently eliciting expert opinions. A proper hierarchy and contextual relationship of the barriers have been developed using ISM, and based on the driving and dependence power of the barriers, three groups of barriers have been found using MICMAC analysis. Findings Cultural differences are found to be the most important barrier to LC, whereas employees’ resistance to change and lack of performance measurement systems are the least significant barriers. Research limitations/implications The work is limited to literature review and experts’ opinion, and the model may be tested using structural equation modeling to verify the relationship of the barriers. Practical implications This ISM-based model would help the decision-makers, researchers and practitioners to prioritize and manage these barriers by better utilizing their resources for eliminating or minimizing the barriers to lean implementation. Originality/value The study of barriers to LC through an ISM-based model and the classification of barriers is a new attempt in the field of construction.

scholarly journals Virtual R&D Teams: A New Model for Product Development

2015 ◽  
Vol 3 (2) ◽  
pp. 01-27 ◽  
Author(s):  
Nader Ale Ebrahim
Keyword(s):  
Product Development ◽  
Research And Development ◽  
Virtual Teams ◽  
New Product Development ◽  
Structural Equation ◽  
Online Survey ◽  
Small And Medium Enterprises ◽  
New Product ◽  
Equation Modeling ◽  
New Model

Increased global competitions have urged small and medium enterprises (SMEs) to develop new products faster. Virtual research and development (RD) teams in SMEs can offer a solution to speed up time-to-market of new product development (NPD). However, factors that affect the effectiveness of virtual teams for NPD are still not adequately verified. This paper presents the correlations between virtual RD team constructs and virtual team effectiveness by developing a “Virtual Research and Development Team” (ViRDT) model. The items, which may influence the effectiveness of virtual teams, are taken from the literature. Through an online survey and by application of structural equation modeling (SEM) technique, the proposed model (ViRDT) has been tested. The results suggest that the process construct is strongly correlated to the effectiveness of virtual teams. Therefore, NPD managers in virtual RD teams should concentrate on the process of new product development rather than simply equipping the teams with the latest technology or employing highly qualified experts. Further empirical research is recommended to fully explore and appreciate the breadth of application of the ViRDT model.Virtual Ramp;D Teams: A New Model for Product Development

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