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Ben Ruben R, Rajendran C, Saravana Ram R, Kouki F, Alshahrani HM, Assiri M. Analysis of barriers affecting Industry 4.0 implementation: An interpretive analysis using total interpretive structural modeling (TISM) and Fuzzy MICMAC. Heliyon 2023; 9:e22506. [PMID: 38046174 PMCID: PMC10686847 DOI: 10.1016/j.heliyon.2023.e22506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 11/14/2023] [Accepted: 11/14/2023] [Indexed: 12/05/2023] Open
Abstract
The purpose of this study is to build a structural relationship model based on total interpretive structural modeling (TISM) and fuzzy input-based cross-impact matrix multiplication applied to classification (MICMAC) for analysis and prioritization of the barriers influencing the implementation of Industry 4.0 technologies. 10 crucial barriers that affect the deployment of Industry 4.0 techniques are identified in the literature. Also, the Fuzzy MICMAC approach is applied to classify the barriers. The importance of TISM over traditional interpretive structural modeling (ISM) is shown in this work. Results proved that the barriers, namely IT infrastructure, lack of cyber physical systems, and improper communication models, are identified as the most dependent barriers, and the barriers of lack of top management commitment and inadequate training are identified as the most driving barriers. This study makes it easier for decision-makers to take the necessary steps to mitigate the barriers. The bottom level of the TISM hierarchy is occupied by barriers that need more attention from top management in order to be effectively monitored and managed. This study explains the steps to execute TISM in detail, making it easy for researchers and practitioners to comprehend its principles.
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Affiliation(s)
- R. Ben Ruben
- Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, 641008, India
| | - C. Rajendran
- Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, 641008, India
| | - R. Saravana Ram
- Department of Electronics and Communication Engineering Anna University Regional Campus Madurai Tamilnadu, India
| | - Fadoua Kouki
- Department of Financial and Banking Sciences Applied College, Muhail Aseer King Khalid University, Saudi Arabia
| | - Haya Mesfer Alshahrani
- Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O.Box 84428, Riyadh, 11671, Saudi Arabia
| | - Mohammed Assiri
- Department of Computer Science, College of Sciences and Humanities Aflaj, Prince Sattam bin Abdulaziz University, Saudi Arabia
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Rouhani-Tazangi MR, Khoei MA, Pamucar D, Feghhi B. Evaluation of key indicators affecting the performance of healthcare supply chain agility. SUPPLY CHAIN FORUM 2023. [DOI: 10.1080/16258312.2023.2171239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/05/2023]
Affiliation(s)
| | - Mohammad Amin Khoei
- School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
| | - Dragan Pamucar
- Faculty of Organizational Sciences, University of Belgrade, Belgrade, Serbia
| | - Benyamin Feghhi
- Department of Industrial Engineering, Fouman Faculty of Engineering, University of Tehran, Tehran, Iran
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Bai X, Cheng D, Chen Y. Research on factors affecting serial entrepreneurial intention: An interpretive structure model. Front Psychol 2022; 13:992141. [PMID: 36389459 PMCID: PMC9642074 DOI: 10.3389/fpsyg.2022.992141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 09/27/2022] [Indexed: 11/03/2023] Open
Abstract
Serial entrepreneurship is a very common phenomenon in the world. Research on serial entrepreneurs is the core of understanding entrepreneurship and entrepreneurs, such as, why entrepreneurs insist on starting businesses many times? What affects the sustainability of entrepreneurship? Based on the interpretive structure model of systems engineering, this study constructs a hierarchical model of the factors affecting serial entrepreneurial intention, which proposed the basic conditions, key factors, and paths affecting serial entrepreneurial intention. Based on this, the hierarchical model of factors affecting serial entrepreneurial intention is also tested through a typical serial entrepreneurial case. The results show that: (1) there are 16 factors affecting serial entrepreneurial intention, and each factor plays a role at a specific level; (2) entrepreneurial expectations and identification and evaluation of opportunities are the key factors affecting serial entrepreneurial intention. We can improve the ability of the identification and evaluation of opportunities through entrepreneurial failure learning, and form reasonable entrepreneurial expectations; (3) entrepreneurial cognitive schema and behavioral addiction tendency directly affect entrepreneurs' identification and evaluation of opportunities; (4) demographic factors, financial conditions, environmental conditions, and entrepreneurial experience are the basic conditions that affect serial entrepreneurial intention indirectly through emotional perception and motivation factors.
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Affiliation(s)
- Xiuwei Bai
- School of Management, Nanjing University, Nanjing, China
- School of Business, Hebei Normal University for Nationalities, Hebei, China
| | - Dejun Cheng
- School of Management, Nanjing University, Nanjing, China
| | - Yuting Chen
- School of Management, Nanjing University, Nanjing, China
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Kumar V, Verma P, Mangla SK, Mishra A, Chowdhary D, Sung CH, Lai KK. Barriers to Total Quality Management for sustainability in Indian organizations. INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT 2020. [DOI: 10.1108/ijqrm-10-2019-0312] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeThe paper aims to identify key human and operational focused barriers to the implementation of Total Quality Management (TQM). It develops a comprehensive structural relationship between various barriers to successfully implement TQM for sustainability in Indian organizations.Design/methodology/approachWith the help of expert opinions and extant literature review, we identified the case of TQM failure companies and barriers to implement TQM effectively. Interpretive Structural Modeling (ISM) and fuzzy MICMAC techniques are employed to develop a structural model and the identified barriers are categorized based on their dependence and driving power in the various categories.FindingsFrom the intensive case analysis, we identify fourteen barriers that constrain the successful implementation of TQM. The findings also provide a hierarchy of barriers in which the absence of top management involvement and ineffective leadership are the human barriers having the highest dependence.Research limitations/implicationsThe critical inputs show the implementation of TQM in the firms being more proactive and well prepared in the selected five companies. The study's emphasis on barriers will help organizations in implementing TQM for better sustainability in an organizational context.Originality/valueIn the successful implementation of TQM, barriers need to be identified because failure has often eliminated the organizations from the market. Thus, TQM is the source of strength to achieve higher productivity, profitability, and sustainable business performance. The barriers must be identified to improve organizational performance to contribute to sustainable development.
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Abu Salim T, Sundarakani B, Lasrado F. The relationship between TQM practices and organisational innovation outcomes. TQM JOURNAL 2019. [DOI: 10.1108/tqm-11-2018-0160] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
The purpose of this paper is to study the role of slack (both moderating and mediating) to stimulate the relationship between total quality management (TQM) factors and innovation outcomes relative to gaining competitive industry advantages.
Design/methodology/approach
The research methodology includes a multi-item scale questionnaire completed in three waves between 2016 and 2017, and later analysed in 2018. A final response rate of 29.5 per cent was obtained, representing 190 organisations from both manufacturing and service industries in the United Arab Emirates (UAE). Partial least squares structural equation modelling was used to test the multi-collinearity, moderation and mediation analysis.
Findings
Analysis confirmed that factors such as continuous improvement (CI), human resource management (HRM) and information measurement (IM) were positively linked to innovation. However, when slack was introduced as a moderator, innovation outcomes were stimulated through HRM and IM. The results indicate that slack acts as a full mediator for management leadership but only partially mediates supplier quality, IM, CI, HRM and process management.
Research limitations/implications
In terms of geographical coverage, research was limited to the UAE. Organisations striving for excellence through innovation may benefit from the outcomes, as they help in understanding the relationship between TQM and innovation moderated and/or mediated by slack. This could also lead businesses to develop new strategies that harmonise TQM policies with “rationale” slack policies, thus, promoting innovation.
Originality/value
This study is the first to examine the use of slack to stimulate the relationship between TQM factors and innovation outcomes. Using slack as a mediator can help in understanding when TQM might influence innovation, while slack as a moderator could invert the relationship between the two.
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Resource allocation to strategies of quality management with FANP and Goal Programming approach. TQM JOURNAL 2019. [DOI: 10.1108/tqm-10-2018-0145] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
The purpose of this paper is to explore the relationship between effective strategies to improve the quality and quality management of allocated resources for the successful implementation of the strategies. For this purpose, three quality management resources (human, organizational and technological) and eight different strategies related to quality are considered.
Design/methodology/approach
The paper employs the fuzzy analytic network process (FANP) to prioritize and model the interactions between eight strategies, the three types of resources (human, organizational and technological) needed for effective strategy implementation and the ability to enhance quality. Then, Goal Programming (GP) is formulated by the output of the FANP to identify the extent to which each single strategy is inhibited by a lack of (or overloaded by) resources.
Findings
The first three priorities of strategies identified by the FANP include continuous management of quality system, continuous use of human knowledge and continuous approach toward target, and the order of resources is as follows: human resources, organizational resources and technological resources. The results obtained showed the largest share of human resources and its crucial role in improving the quality of the products. The contribution of organizational resources amounts to half of the contribution of human resources.
Originality/value
The main contribution of this paper is to employ the FANP to prioritize, whereas in prior studies in this area, priorities were conducted as definitive, and uncertainty in the opinion of experts was not considered. In this paper, the FANP–GP combined method is used.
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Wei J, Chen Y, Zhang J, Gong Y. Research on Factors Affecting the Entrepreneurial Learning From Failure: An Interpretive Structure Model. Front Psychol 2019; 10:1304. [PMID: 31214094 PMCID: PMC6558073 DOI: 10.3389/fpsyg.2019.01304] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Accepted: 05/17/2019] [Indexed: 11/13/2022] Open
Abstract
Based on the interpretive structure model of system dynamics, this paper constructs a hierarchical structure model of factors affecting the entrepreneurial learning from failure, which has been also tested through a case of entrepreneurship. The study finds that: (1) there are 15 factors influencing entrepreneurial learning from failure that play different hierarchical roles; (2) the entrepreneurs' self-efficacy, as a key influencing factor of entrepreneurial learning from failure, can be cultivated and improved by enriched the entrepreneurs' successful career experience. In addition, emotion regulation after the entrepreneurial failure is also a key influencing factor of the entrepreneurial learning from failure and the emotion management is deemed as an important part of entrepreneurship education; (3) the entrepreneurial education may affect the entrepreneurship learning from failure indirectly by affecting the entrepreneurs' self-efficacy; (4) the economic conditions, the policy support, the industry characteristics and the cultural sensemaking of failure are the macro factors that may affect the entrepreneurship learning from failure.
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Affiliation(s)
- Jiangru Wei
- School of Management, Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Yuting Chen
- School of Management, Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Jing Zhang
- School of Management, Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Yonghua Gong
- School of Management, Nanjing University of Posts and Telecommunications, Nanjing, China
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Souza MA, Borchardt M, Pereira GM, Viegas CV. TQM at car dealerships with better sales performance: a multiple case study. TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE 2018. [DOI: 10.1080/14783363.2018.1503047] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
- Marcelo A. Souza
- Production Engineering, Vale do Rio dos Sinos University, São Leopoldo, Brazil
| | - Miriam Borchardt
- Production Engineering, Vale do Rio dos Sinos University, São Leopoldo, Brazil
| | | | - Cláudia V. Viegas
- Production Engineering, Vale do Rio dos Sinos University, São Leopoldo, Brazil
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