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1 – 10 of 60Vikas Swarnakar, Anil Kr Tiwari and A.R. Singh
The purpose of this study is to identify, evaluate and develop a structured model to measure the interrelation between critical failure factors (CFFs) that affects the…
Abstract
Purpose
The purpose of this study is to identify, evaluate and develop a structured model to measure the interrelation between critical failure factors (CFFs) that affects the implementation of the sustainable Lean Six Sigma (SLSS) framework in a manufacturing organization. Further solution approaches have been provided that inhibit those CFFs and help in successful implementation of the framework.
Design/methodology/approach
To find the interrelation among the selected CFFs and develop a systematic structured model, a total interpretive structural modeling (TISM) approach has been used. A 13-level model for selected CFFs has been formed after the application of the TISM approach. Further classification of CFFs has been performed for a better understanding of their nature through MICMAC analysis.
Findings
A total of 26 SLSS CFFs have been identified through a detailed study of case organization, various literature reviews and experience of panel experts toward developing a systematic model of CFFs. The solution approach has been provided by panel experts based on their industrial experiences after observing the role of CFFs in the developed model. Based on the analysis, it was found that most dependent and dominant CFFs affect the implementation of the SLSS framework in the case organization.
Practical implications
This study helps SLSS practitioners, project managers, decision-makers and academicians of manufacturing industries to a better understanding of the failure factors and their interrelations while implementing the SLSS framework in manufacturing organizations. This study also guides the systematic solution approach which helps in tackling such problems that occurred in manufacturing organizations.
Originality/value
In this study, the TISM-based structural model of CFFs for implementing the SLSS framework in manufacturing organizations has been proposed which is a very new effort in the area of a manufacturing environment.
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Raja Sreedharan V., Gopikumar V., Smitha Nair, Ayon Chakraborty and Jiju Antony
Many projects focus on the reliable operation of the activities in the project. Any failure in the process activities leads to major problems resulting in waste, defects…
Abstract
Purpose
Many projects focus on the reliable operation of the activities in the project. Any failure in the process activities leads to major problems resulting in waste, defects, equipment damage, which has a direct impact on the consumers. In addition, Lean Six Sigma (LSS) is not new to this issue. LSS projects have faced an interruption in the process flow and unforeseen defects. Therefore, the purpose of this paper is to identify the vital failure factors of LSS projects.
Design/methodology/approach
Through extant literature review, the researchers found 44 critical failure factors (CFFs) of LSS. Using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) SIMOS approach, the decision makers’ (DMs) rating and weight for each factor were collected. Moreover, the study was conducted in both the manufacturing and service industries to identify the impact of CFFs in LSS projects.
Findings
CFFs and their evaluation have received little attention in the literature. Most of the previous studies deal only with the identification of the success factors in general. Therefore, the study identified 44 CFFs and ranked them through DMs. In addition, the TOPSIS SIMOS approach ranked the vital failure factors enabling the management to avert the LSS project from failures.
Research limitations/implications
The study focused on project failures due to CFFs of LSS. Nevertheless, it did not consider other failure factors of project and knowledge management. Further, the sample used to test the approach was considerably small. Therefore, the study can be repeated with significant samples and the vital failure factors compared.
Practical implications
In real-life application, all the parameters in the LSS project need to be understood in a better manner. In such a condition, the practitioner needs to know that the project never fails due to the CFFs and TOPSIS SIMOS approach can prevent the LSS project failures.
Originality/value
The study applied TOPSIS SIMOS approach to rank the CFFs in an LSS project, which is first of its kind and aids the practitioners to make the right decisions in the business environment.
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Vikas Swarnakar, A.R. Singh and Anil Kr Tiwari
The purpose of this study is to develop a structured hierarchical interrelationship-based model to evaluate the critical failure factors (CFFs) that affect the sustainable Lean…
Abstract
Purpose
The purpose of this study is to develop a structured hierarchical interrelationship-based model to evaluate the critical failure factors (CFFs) that affect the sustainable Lean Six Sigma (SLSS) framework implementation in a healthcare organization. Further, solution approaches have been provided that guide to eliminate them.
Design/methodology/approach
The CFFs has been identified through empirical study and clustered into six major categories for their better understanding. The interrelation among CFFs has been developed through total interpretive structural modeling (TISM) and classifies the nature using MICMAC technique. Further, prioritized the CFFs based on its driving and dependents power. The methodology enabled the decision-makers, practitioners to systematically analyze the CFFs and develop a structural model for implementing SLSS in the healthcare environment.
Findings
A total of 14 leading CFFs have been identified, and 7-level structured interrelationship-based model has been formed. The experts have provided the solution approach after careful analysis of the developed model. Based on the analysis, it was observed that the significant CFFs affect the deployment of the SLSS framework in healthcare organizations.
Research limitations/implications
The structured model and methodological approach have been tested in a healthcare organization. In the future, the approach can be applied in the different service sectors.
Practical implications
The present study has been conducted in a real-time industrial problem. The practitioners, decision-makers and academicians expressed the usefulness of methodology for understanding the CFFs interrelation and their effect on SLSS implementation. This study also guides decision-makers to systematically tackle related problems.
Originality/value
The development of a structured CFFs based model for SLSS framework implementation using the integrated TISM-MICMAC with a detailed solution approach is a unique effort in a healthcare environment.
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Eunice Cristyl del Pilar, Irish Alegado and Miriam Fabroa Bongo
The premature closure of microbusinesses has become a prevalent issue that demands to be seriously addressed due to the major economic contribution it provides particularly to…
Abstract
Purpose
The premature closure of microbusinesses has become a prevalent issue that demands to be seriously addressed due to the major economic contribution it provides particularly to developing countries. The purpose of this paper is to establish and further analyze a set of critical failure factors (CFFs) that aid in the systematic decision-making and strategic management of stakeholders.
Design/methodology/approach
A comprehensive literature review is conducted to gather CFFs and an interpretative structural modeling with Matriced’ Impacts Croise’s Multiplication Appliquée a UN Classement (ISM-MICMAC) analysis is applied to investigate the structural relationships among CFFs by extracting its inherent characteristics according to its driving power and dependence power. In order to illustrate the methodology, a case study is conducted in Cebu, the Philippines.
Findings
It is interesting to note that inadequate government programs information is deemed the most crucial for stakeholders to tackle as its impact on the premature closure of microbusinesses is highly significant. Drawing from this key result, directions for potential strategies for getting evidence-based research into policy and practice in the micro-business sector in the Philippines, and other developing countries, are provided.
Originality/value
Lastly, the contribution of this work is two-fold and is aimed at policymakers and managers. For one, this study is the first to establish a set of CFFs specifically aimed at the level of microbusinesses, a seriously under-researched business sector, which can aid and influence domestic policymakers. For another, a framework that will facilitate business managers in carrying out organization’s strategy development process have been provided.
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Surangkana Trangkanont and Chotchai Charoenngam
Numerous studies to date have demonstrated the public-private partnership (PPP) project procurement method's failure to deliver low-cost housing (LCH) to low-income groups (LIGs…
Abstract
Purpose
Numerous studies to date have demonstrated the public-private partnership (PPP) project procurement method's failure to deliver low-cost housing (LCH) to low-income groups (LIGs) in developing countries. The purpose of this paper is to investigate critical failure factors (CFFs), and how they cause the failure of PPP-LCH program.
Design/methodology/approach
Grounded Theory methodology was used to gather and analyze the data in order to identify, categorize, and develop the logically causal relationships among CFFs that cause PPP-LCH program failure.
Findings
Ten CFFs in various phases of PPP-LCH project life cycle caused PPP-LCH program failure. Some CFFs resulted from ineffective PPP policy and strategy, while some were beyond the control of the project/program management team. These CFFs were inter-/intra-related to one another in a particular way.
Originality/value
Despite the increase in PPP-LCH projects/programs for LIGs in practice and the prevalence of failure, the studies of PPP-LCH project/program failure still suffer from insufficient conceptual clarity about the causes of these failures. The lessons learned, to some extent, help decision makers in both public and private sectors to reduce the probability of the PPP-LCH project/program failure by clearly explaining the nature of each CFF.
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Shreeranga Bhat, Jiju Antony, Gijo E.V., Rajesh Koul, Elizabeth A. Cudney and Ayon Chakraborty
While Six Sigma (SS) has been deployed effectively in Indian manufacturing and service sectors as a process improvement methodology, the implementation of Design for Six Sigma…
Abstract
Purpose
While Six Sigma (SS) has been deployed effectively in Indian manufacturing and service sectors as a process improvement methodology, the implementation of Design for Six Sigma (DFSS) for robust product and service development has not shown noticeable results. Therefore, this article aims to determine the critical failure factors (CFFs) of DFSS in the Indian context.
Design/methodology/approach
The paper presents the results of a pilot survey on the CFFs of DFSS in Indian companies. The survey participants were specialists in DFSS who have been involved in DFSS projects in their past and present companies. Moreover, the pilot study participants were DFSS Champions, Master Black Belts, Black Belts and Green Belts from the manufacturing and service sectors.
Findings
Company-wide applications of DFSS are very limited in India. Most of the DFSS project failures are reported in the Analyse phase of the project. The results indicated that all 18 CFFs used in the survey have a significant impact on project failures. Also, it was determined that all CFFs are positively correlated with each other. Further, a strong correlation was observed between the voice of the customer (VOC) and project selection and prioritisation. In addition, effective training showed a strong correlation with the right selection of tools.
Research limitations/implications
The pilot survey was based on a limited sample size. Moreover, the study is confined to only the Indian context and data were collected through the authors' networks. However, respondents were proficient, certified and involved in DFSS project deployment in the manufacturing and service sectors. Therefore, the study's findings are useful and meaningful to draw robust inferences.
Originality/value
To the best of the authors' knowledge, this is the first empirical study conducted in the Indian context to identify the reasons for DFSS project failures. The study's findings can aid academicians and practitioners in comprehending and critically examining the CFFs of DFSS before executing a project. Moreover, the research outcome motivates policymakers to create an ecosystem to effectively adopt DFSS for start-ups and micro, small and medium enterprises (MSME) to ensure a circular economy and support the “Atmanirbhar Bharat” initiative.
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Jiju Antony, Michael Sony, Raja Jayaraman, Vikas Swarnakar, Guilherme da Luz Tortorella, Jose Arturo Garza-Reyes, Rajeev Rathi, Leopoldo Gutierrez, Olivia McDermott and Bart Alex Lameijer
The purpose of this global study is to investigate the critical failure factors (CFFs) in the deployment of operational excellence (OPEX) programs as well as the key performance…
Abstract
Purpose
The purpose of this global study is to investigate the critical failure factors (CFFs) in the deployment of operational excellence (OPEX) programs as well as the key performance indicators (KPIs) that can be used to measure OPEX failures. The study also empirically analyzes various OPEX methodologies adopted by various organizations at a global level.
Design/methodology/approach
This global study utilized an online survey to collect data. The questionnaire was sent to 800 senior managers, resulting in 249 useful responses.
Findings
The study results suggest that Six Sigma is the most widely utilized across the OPEX methodologies, followed by Lean Six Sigma and Lean. Agile manufacturing is the least utilized OPEX methodology. The top four CFFs were poor project selection and prioritization, poor leadership, a lack of proper communication and resistance to change issues.
Research limitations/implications
This study extends the current body of knowledge on OPEX by first delineating the CFFs for OPEX and identifying the differing effects of these CFFs across various organizational settings. Senior managers and OPEX professionals can use the findings to take remedial actions and improve the sustainability of OPEX initiatives in their respective organizations.
Originality/value
This study uniquely identifies critical factors leading to OPEX initiative failures, providing practical insights for industry professionals and academia and fostering a deeper understanding of potential pitfalls. The research highlights a distinctive focus on social and environmental performance metrics, urging a paradigm shift for sustained OPEX success and differentiating itself in addressing broader sustainability concerns. By recognizing the interconnectedness of 12 CFFs, the study offers a pioneering foundation for future research and the development of a comprehensive management theory on OPEX failures.
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Peyman Akhavan and Amir Pezeshkan
The goal of this paper is to present the main critical failure factors extracted from analyzing ten case studies of failure in knowledge management (KM) systems and projects and…
Abstract
Purpose
The goal of this paper is to present the main critical failure factors extracted from analyzing ten case studies of failure in knowledge management (KM) systems and projects and present a framework in which the failure factors are linked to the different stages in the cycle of KM implementation.
Design/methodology/approach
“Grounded theory” as a qualitative research technique has been applied to explore the main failure factors. Data was collected reviewing scholarly articles containing KM case studies (failure in KM implementation) and after an in-depth study – applying grounded theory method – the results of main critical failure factors categorized and analyzed in specific stages of implementing KM systems.
Findings
Through review and analysis of ten case studies, two main results were obtained. First, the main critical failure factors of KM projects were identified. Second, identified critical failure factors were traced along the KM implementation cycle. A framework is proposed that shows the critical failure factors' effect in each specific stage of the KM cycle.
Research limitations/implications
The results of this research are generalized based on cases from prior literature. However, the authors have tried to be as inclusive as possible to ensure a representative sample of reported KM failures. In addition, organizations do not provide accurate reports of failure in their projects because of their policies, the image of their organization, and privacy, which could affect the identification of all failure factors.
Practical implications
The findings are incorporated into a framework of failure factors in KM projects and the proposed framework can help practitioners in organizations to avoid factors that lead to the demise of KM systems in each stage of the KM project development cycle. This multi-case study research and its suggested framework are also useful for academics to gain a comprehensive view of KM critical failure factors for future studies.
Originality/value
To the authors' knowledge this study is the first of its kind to provide an integrated perspective of critical failure factors for the implementation of KM through the inspection of ten case studies and maps the failure factors on KM implementation cycle. It provides valuable information and guidelines that will hopefully pave the way for managers to avoid failure in implementation of a KM.
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Mariam Bader, Jiju Antony, Raja Jayaraman, Vikas Swarnakar, Ravindra S. Goonetilleke, Maher Maalouf, Jose Arturo Garza-Reyes and Kevin Linderman
The purpose of this study is to examine the critical failure factors (CFFs) linked to various types of process improvement (PI) projects such as Kaizen, Lean, Six Sigma, Lean Six…
Abstract
Purpose
The purpose of this study is to examine the critical failure factors (CFFs) linked to various types of process improvement (PI) projects such as Kaizen, Lean, Six Sigma, Lean Six Sigma and Agile. Proposing a mitigation framework accordingly is also an aim of this study.
Design/methodology/approach
This research undertakes a systematic literature review of 49 papers that were relevant to the scope of the study and that were published in four prominent databases, including Google Scholar, Scopus, Web of Science and EBSCO.
Findings
Further analysis identifies 39 factors that contribute to the failure of PI projects. Among these factors, significant emphasis is placed on issues such as “resistance to cultural change,” “insufficient support from top management,” “inadequate training and education,” “poor communication” and “lack of resources,” as primary causes of PI project failures. To address and overcome the PI project failures, the authors propose a framework for failure mitigation based on change management models. The authors present future research directions that aim to enhance both the theoretical understanding and practical aspects of PI project failures.
Practical implications
Through this study, researchers and project managers can benefit from well-structured guidelines and invaluable insights that will help them identify and address potential failures, leading to successful implementation and sustainable improvements within organizations.
Originality/value
To the best of the author’s knowledge, this paper is the first study of its kind to examine the CFFs of five PI methodologies and introduces a novel approach derived from change management theory as a solution to minimize the risk associated with PI failure.
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John Israilidis, Evangelia Siachou and Stephen Kelly
This paper explores critical failure factors (CFFs) in the context of knowledge sharing. It provides further insights into what can cause knowledge- sharing failures, inflexible…
Abstract
Purpose
This paper explores critical failure factors (CFFs) in the context of knowledge sharing. It provides further insights into what can cause knowledge- sharing failures, inflexible knowledge-sharing strategies and ineffective knowledge- sharing mechanisms. It also examines how practitioners can reduce or even mitigate such dysfunctions.
Design/methodology/approach
A case-based inductive approach was conducted. Data were collected from two studies applying mixed methods. The first data set included nine in-depth, semi-structured interviews with highly skilled personnel from an aerospace and defense organization. The second data source included 375 successfully completed questionnaires from participants employed at the same organization.
Findings
The paper identifies six CFFs with an impact on knowledge sharing. It also reveals that managing organizational ignorance can play a key role in generating new knowledge and averting failure. Study findings provide insights into the importance of identifying these failures when sharing knowledge and propose relevant mitigation strategies.
Originality/value
This paper identifies a range of empirically validated CFFs that complement the extant work on the complexity of knowledge sharing and have hitherto not been seen in the literature. It also provides a more nuanced understanding of why both organizations and their people often fail to share knowledge by exploring the role of organizational ignorance.
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