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The purpose of this paper is to frame an empirical model with the priority of implementing soft critical successful factors (CSFs) of total quality management (TQM) in Chinese manufacturing companies.

In total, 23 hypotheses regarding the relationships among TQM factors and business results have been developed through literature review and are tested using the structural equation modelling (SEM). The data used in this study are collected from 228 manufacturing companies in the central area of China.

Of the 23 hypotheses, 11 were statistically significant, and according to the empirical results a conceptual framework complying to Chinese condition is constructed and discussed in the finding parts to group soft CSFs of TQM into different levels of importance.

Researchers can use the framework to further study soft CSFs of TQM in detail, and extend it to explore their impact mechanism for a clearer and deeper understanding of the TQM.

The empirical framework for soft CSFs of TQM provides a new perspective for managers to implement the soft CSFs and optimise the quality management system of their manufacturing companies.

This research uses multiple, distinct indicators for each soft factor to test an elaborate SEM model of the relationships among them, according to the empirical results constructs a holistic framework classifying the importance level of soft CSFs of TQM, which is novel and subjected with Chinese condition and manufacturing characteristics.

The purpose of this paper is to address a perennial question regarding the importance of soft total quality management (TQM) as part of the TQM implementation process – a topic that has been significantly understudied. Specifically, the authors address previous calls in the literature for stressing the soft aspects of TQM and for drawing a critical success factor (CSF) list that is formulated on the basis of empirical research instead of theory.

This is a comparative qualitative case study of three manufacturing SMEs combining empirical data from in-depth, semi-structured interviews with a large variety of stakeholders – from top managers to shop-floor workers, site visits and observations.

The study identifies 12 soft CSFs, and while most of these factors have been well-documented in the literature (e.g. top management involvement and leadership), the authors show evidence for the existence of other soft constructs that have not been considered or have been given little importance previously (i.e. middle management involvement and support, reward and recognition, CSR focus).

The study fills two major gaps in the (T)QM literature. First, it enriches the understanding of TQM implementation among Japanese SMEs. Second, it addresses the importance of soft TQM as part of the TQM implementation process.

This paper provides company owners and managers with valuable knowledge that may assist their organisations in the pursuit of business excellence including higher product quality and employee satisfaction.

To the authors’ knowledge, this is the first (international) study to investigate TQM implementation within the context of Japanese SMEs.

Effective total quality management (TQM) practices rely on the accurate classification of critical success factors (CSFs). The impact matrix cross-reference multiplication technique for classification (MICMAC) or/and fuzzy MICMAC (FMICMAC) can be used to identify key factors in the complex set. However, TQM includes both “hard” and “soft” factors, limiting application of the traditional MICMAC/FMICMAC method.

Previous literature on TQM was reviewed, CSFs were identified, and factors were sorted into soft and hard categories. The combined fuzzy integration and dual-aspect MICMAC (fuzzy dual-aspect MICMAC approach) was then applied to identify, cluster and prioritize the CSFs of TQM.

A total of 20 factors (10 soft and 10 hard) were identified and isolated to assess the manufacturing- and service-related TQM practices of the Pearl River Delta Region of China. Seven driver factors and one linkage factor emerged as the key CSFs that managers should prioritize.

A major limitation of this study is the dependency of the results on the definitions of linguistic labels. If the linguistic definitions of TQM CSFs do not closely correspond to the expert opinion data, then the analysis results may be inaccurate. Additionally, although expert opinions are utilized in the proposed method for comprehensive assessments, these opinions may influence the final results due to their inherent subjectivity.

A novel fuzzy dual-aspect MICMAC approach was developed to identify and classify CSFs for optimal TQM practices. This approach allows clustering of CSFs so that decision-makers can prioritize factors according to their dependence and driving powers. Practitioners should concentrate on the CSFs with higher driving powers for successful TQM.

Using a soft-hard continuum of drivers and barriers, this research seeks to explain wood companies' adoption of circular economy (CE) practices.

Multiple interviews, complemented by secondary documents and site observations were used to investigate three wood-based companies that have adopted CE practices. The 10R framework and soft-hard continuum are used to guide data analysis.

The adoption of 10R practices were explained by soft-factor incentives of leaders' values and vision and openness for innovation, all within a regulatory void, and eventually overcome hard-factor barriers of process development, supply chain capability and customer behaviours at product end-of-life.

Crucial for CE model adoption are leaders' positive attitudes, subsequently grown across the companies. The 10Rs are a prompt for CE practice adoption to capture and retain value and generate revenue. Collaboration across the supply chain, including customers and other value capture companies (e.g. repurposing companies), is essential to maximise value retention. Government should play an increased soft-factor incentive regulatory role and support CE practices to overcome hard-factor barriers.

This study contributes an explanation of CE adoption within a relatively unsupported context. Despite the regulatory void, CE practice adoption was driven by leader values. To achieve their vision and overcome the numerous barriers, suppliers and customers required a large investment in education. Indeed, customer behaviour, previously thought to be an incentive for CE adoption, is also identified as a barrier.

The purpose of this paper is twofold: first, to identify the soft skills of construction project management; and second, to investigate the influence of these soft skills on project success factors in the Vietnamese construction industry.

A questionnaire survey was conducted with 108 project management professionals from the Vietnamese construction industry. Partial least square structural equation modelling was employed in data analysis.

Four-dimensional structure of project success factors was confirmed in this study. Results also showed that soft skills of project managers significantly contributed to project success factors and hence the project success.

There may be geographical limitation on the conclusions drawn from the findings. Similarly, the sample size was still small, despite a relatively high response rate. In addition, the majority of the respondents were contractors and clients as other project players were reluctant to respond to the survey.

This study provides an understanding of the relationship between soft skills and project success factors.

Although there have been studies focused on soft skills of project management and project success factors, few have attempted to analyse the effects of these soft skills on critical success factors. Thus, this study adds significantly to the existing research on both project management skills and project success factors.

The purpose of this paper is to explore critical success factors (CSFs) in interdisciplinary building design projects from the view point of the project members themselves. While there is a plethora of research on CSFs, there is a paucity of studies that examine CSFs within this unique project context.

Semi‐structured interviews, a survey and facilitated workshops were used to identify factors and their interrelationships within the project context.

Thirty‐one primary CSFs were distilled which were then further grouped into four interdependent group factors: management factors, design team factors, competencies and resources factors and project enablers. It would appear that there are factors that are particularly important in such project environments, which do not figure strongly in other project environments. These factors are related to the socio‐political dynamics of inter‐disciplinary team work such as passion and enthusiasm, shared values, creativity and innovation and represent so‐called “super soft factors” which reflect personal success and its importance in achieving positive project outcomes.

Although there has been significant research on CSFs in construction projects, little attention has been paid to those which are related to the collaborative design phase of such projects.

The results suggest that it is worthwhile for managers in construction related organisations and beyond to recognise the interdependencies which exist between the project context, processes and the project members' experience and affinity to the project and the team itself in project work to achieve desired outcomes.

This paper extends the CSF literature by identifying the nature of the primary factors and their interrelationships which influence project outcomes in collaborative design projects.

This paper aimed to identify critical success factors (CSFs) of building information modeling (BIM) implementation among architectural, engineering and construction (AEC) firms in Malaysia using quantitative statistical methods.

A questionnaire survey was conducted on the population of all AEC firms in Malaysia to rank the relative importance of 15 success factors (SFs) for BIM implementation in the firm on a 5-point Likert scale. The sampling frame consisted of all members registered with the Construction Industry Development Board (CIDB) from which 184 responses were received. The distinction between SFs and CSFs was achieved by a normalized mean cutoff value. Principal component analysis (PCA) was used to determine the relative groupings of the CSFs and structural equation modeling (SEM) were used to examine the underlying relationships between the CSF groupings.

Results of this study validated 11 previously identified CSFs for successful implementation of BIM among Malaysian AEC firms. Non-technical factors such as management, leadership and coordination were found to have higher relevance compared to technical factors such as software and hardware. Ranking analysis of the CSFs found internal coordination factors to have more importance compared to external coordination factors. PCA revealed 4 principal components (PCs) from the 11 CSFs. Together, these four PCs explain 74.3% of the variance in the data. Also, six hypothesized relationships between these groupings were supported using PLS-SEM.

This study found an interaction between internal and external coordination factors for the implementation of BIM. Future research could explore the dynamics of both intra- and inter-firm coordination, which may create an environment suitable for BIM implementation.

This study provides Malaysian AEC firms with a general strategy on how to approach the implementation of BIM within the firm. In addition, government initiatives should focus on increasing BIM competency of graduates entering the workforce. This can be achieved through the development of a national BIM curriculum. Apart from that, the implementation of BIM requires a radical shift in the traditional building delivery process, not just simply acquiring new software and hardware.

This study revealed that the interactions between different firms at the industry level can influence successful implementation of BIM at the firm level. CSFs for BIM implementation at the firm level have been extensively studied. However, few studies exist which explore the inter-firm collaborations at the industry level that facilitate successful BIM implementation.

The purpose of this research is to identify the current reverse logistics practices adopted by soft drink companies and the prominent factors which can decide the efficiency and effectiveness of the entire process of the reverse logistics channel. The paper employs Pareto analysis and the Analytical Hierarchy Process (AHP) method on data collected from logistics professionals involved in the software industry in Sri Lanka using two questionnaires. As the prominent factors, transportation, accidents, packaging, a method of storage, the cleaning process and sorting process was identified and the first four prominent factors have a higher influence on both measures of efficiency and effectiveness. They can also identify the external factors which can emerge inefficiencies due to outsourced dealers. Lack of previous literature on the subject matter and the difficulty to access the filed data were the main limitations of this study. The identified factors will help to identify the correct root causes for the inefficiencies of the current reverse logistics practices and concentrating on these factors will give an opportunity for the soft drink industry players to successfully implement a sustainable green supply chain which reduces waste at each stage of its forwards and reverse logistics process. Transportation, Accidents, Packaging, and Storage have been previously identified as considerations in reverse logistics processes and the current study showed that they have a higher impact on both efficiency and effectiveness on reverse logistics and these factors should be given specific consideration while in the operations.