Analyzing the interaction of factors for success of total quality management in SMEs

The influence of the quality criteria on the quality cost of suppliers in SMEs

Purpose

After quality costing, most companies do not know how to invest in supplier quality improvement. This study aims to develop a comprehensive model for the effect of supplier quality criteria on supplier quality costs.

Design/methodology/approach

The independent variable of supplier quality criteria and the dependent variable of supplier quality costs have been identified based on a literature review. Then a model has been developed for the effect of the variables. A questionnaire has been designed and distributed to 158 small and medium enterprises (SMEs) in Jey Industrial Town located in the Isfahan Province. Structural equation modeling and partial least square structural equation modeling (PLS-SEM) have been used for data analysis.

Findings

Supplier quality criteria influenced supplier quality costs (with a value of 0.711). The results also implied that organizational quality had the highest impact. The appraisal costs and the internal failure costs of purchasing received most of the influence. Also, process quality and consequential costs of failure purchasing had the lowest influencing and influenced values.

Practical implications

The findings of this research encourage the managers of SMEs to evaluate and rank the most appropriate quality criteria related to quality costs for selecting a supplier as one of the most fundamental decisions in supply chain management.

Social implications

Appropriate selection of quality criteria influencing quality costs results in reduced quality cost. Quality cost reduction also results in decreased products' fixed prices. Ultimately, the company will have more competitive pricing, and consumers will benefit from such a significant advantage.

Originality/value

Studying the influence of supplier quality criteria on supplier quality costs is relatively new in the manufacturing industry. The comprehensiveness of the investigated variables is also another advantage of the proposed model.

A review and compilation of critical success factors for the implementation of maintenance at Nigerian public universities

Purpose

This paper aims to discuss the existing literature on critical success factors (CSFs) for maintenance implementation in Nigerian universities and compile them in a single format to determine if gaps may exist.

Design/methodology/approach

Many relevant articles were searched using keywords extracted from a preliminary literature review. The second round of articles abstract study resulted in 40 articles been selected for this compilation. Inductive coding technique and content analysis methodology were used to identify the constructs of the CSFs. Subsequently, a critical analysis of the reviewed literature identified some gaps in the literature studied.

Findings

This literature review reveals that lack of maintenance policy, maintenance culture, shortage of building facilities and overpopulation in Nigerian universities are the major problems affecting maintenance implementation success. Additionally, most researchers concentrate on the identification of CSFs without providing the strategies for implementing them.

Research limitations/implications

More in-depth research must be carried out on the study of CSFs to implement maintenance policy and culture in Nigerian universities. Duplication in the frequency analysis of the success factors is a significant limitation in this research work and is attributed to the secondary search used as the primary methodology for many articles cited.

Originality/value

This paper provides an in-depth compilation and analysis of all previously identified success factors for maintenance implementation in Nigerian universities using a structured methodological approach.

Exploring human resource work design, learning mechanism and TQM: through the lens of activity theory and contextual learning theory

Purpose

This research examines the effects of the context on the relationship between work design, learning mechanism and total quality management (TQM). The exploratory study examines the differential effects in context on how human resources and their activities are strategically managed for achieving TQM. Two theoretical frameworks – activity theory and contextual learning theory – are concurrently used for analysis. Specifically, the manufacturing companies, the authors examine are (1) technology-intensive company which has bought technology from a global foreign establishment (MU1), (2) technology-intensive companies having their own technology (MU2) and (3) labor-intensive units (MU3) of varying organizational sizes.

Design/methodology/approach

This case study-based research consists of 27 in-depth interviews with managers and employees of different hierarchies in each manufacturing unit. The authors interviewed them using semi-structured questions that were pre-validated by five senior HR experts from the manufacturing industry. Document analysis, multiple site visits and website content helped triangulation. The data are coded and analyzed using Dedoose software for qualitative research.

Findings

Activity diagrams for each manufacturing unit provides task and interaction analysis. Within and cross-case analysis address complexity and challenges of contextual reality, influences on work design and learning mechanism. HRD executives must recognize that there may be well-differentiated learning behaviors that align with organizational strategy. The learning behaviors may not be well-differentiated and become very dynamic. This dynamism may be characterized by double loop and single-loop learning feeding into each other.

Practical implications

This study provides substantial practical implications for HRD and other managers in the manufacturing sector.

Originality/value

The new theoretical framework adds to organizational behavior studies through multi-level and cross-contextual approach. It informs strategic combinations and interactions between internal and external context, and learning needs implicating work design and TQM.

Factors affecting quality management at the Thai national institute of health

Purpose

The purpose of this paper is to confirm and examine organization-related factors that could affect quality management at the Thai national reference laboratory known as National Institute of Health.

Design/methodology/approach

The authors invited 340 laboratory staff members to complete a questionnaire that enquired about their skills, opinions, perceptions, leadership, work environment, organizational culture and organizational commitment in relation to quality management. Confirmatory factor analysis (CFA) and multiple linear regression were used to analyze the data.

Findings

In total, 65 percent of institute members responded to the questionnaire. CFA revealed that all factors were related to quality management. Three factors, leadership, organizational commitment and work environment, significantly affected quality management, but organizational culture did not.

Research limitations/implications

Other data types should be collected for an in-depth understanding, i.e. focus groups or in-depth interviews. A longitudinal study could also enhance quality management understanding to see how each variable changes over time.

Originality/value

Analyzing quality management through confirmatory factor and regression analysis showed that the four analyzed variables are statistically significant in relation to quality management at the laboratory. Managers could apply this information to revise the current policy.

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

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.

Investigation into the hierarchical nature of TQM variables using structural modelling

Purpose

The purpose of this paper is to provide the empirical evidence supporting the existence of a multi-level hierarchical TQM model showing the structural inter-relationships among a total of 16 TQM variables (i.e. drivers, enablers and outcomes).

Design/methodology/approach

The set of identified TQM variables is the product of an in-depth review of the literature, and a robust reiterative process of verification and validation. Inter-relationships among the TQM variables were subjected to the scrutiny of a panel of experts, and were used as a basis for developing a web-based survey to explore the existence as well as strength of the structural relationship between each and every pair of the identified variables using interpretive structural modelling and MICMAC (Impact Matrix Cross-Reference Multiplication Applied to a Classification).

Findings

TQM variables were classified and clustered based on their influence and dependence on each other. Variables such as commitment by top management and customer satisfaction appear to have a strong chance to affect change, whereas variables such suppliers and competitors are very dependent on, and sensitive to, the evolution of the influent variables.

Originality/value

The paper demonstrates a multi-level TQM model encompassing all identified TQM drivers, enablers, and outcomes. The paper not only addresses a gap in the relevant literature (reduces the evidence scarcity about the hierarchical nature of TQM variables), but also gives insights into the variables with most driving power needing greater management attention.

An analysis of the barriers to the proliferation of M-commerce in Qatar

Purpose

– The purpose of this paper is to identify and develop a hierarchical model for the barriers affecting the growth of mobile commerce (M-commerce). Based on the model developed, the authors’ objective is to identify those variables that are of strategic nature and are the root cause of the issue.

Design/methodology/approach

– Variables considered as barriers are identified, and utilizing the interpretive structural model approach, a relationship model is developed. Further, the impact matrix cross-reference multiplication applied to a classification approach is used to analyze the effect and dependence among these factors.

Findings

– The research in the area of M-commerce in the Arab world and related to the strategic aspect is limited in the extant literature. The present study tries to fill this gap by investigating the variables that inhibit the growth of M-commerce in Qatar. The research shows that there exists a group of barriers having a high driving power and low dependence requiring maximum attention and of strategic importance, while another group consists of those variables that have high dependence and are the resultant actions.

Practical implications

– There is a growing concern that although the numbers of mobile subscribers are increasing at a very fast pace in Qatar, actual M-commerce activities in the country remain low. The findings of this study can be used to understand the differences between the independent and dependent variables and their mutual relationships. The study would also help the policy makers to develop suitable strategies to facilitate growth of M-commerce in the country.

Originality/value

– This research was the first attempt to investigate the relationships among the variables inhibiting the growth of M-commerce in a fast-growing economy in a Gulf Cooperation Council (GCC) region. Given that there is limited research on M-commerce in the GCC context, the study can be viewed as an investigation that provides a good understanding of the variables and their interrelationships affecting M-commerce proliferation.

Analyzing the performance of supplier development: a case study

Purpose

– The first objective of this paper is to identify the critical success factors (CSFs) and their corresponding key performance indicators (KPIs) for supplier development (SD) in a manufacturing environment. The second objective is to develop a methodology to analyze and evaluate the performance for SD using CSFs and their KPIs over the time.

Design/methodology/approach

– In all, 13 CSFs and their corresponding KPIs for SD are established through an extensive literature review, discussion held with managers/engineers in different Indian manufacturing companies and conducting brainstorming sessions. A methodology is proposed using analytic hierarchy process (AHP) and performance value analysis to assess and evaluate the performance of SD over the time.

Findings

– From an extensive analysis of the results, under the given circumstances, the growth of SD performance is positive at different progressive points along the time horizon.

Research limitations/implications

– This study has not been statistically validated in manufacturing supply chain for complete acceptability.

Practical implications

– This study provides insights into the performance evaluation of SD using CSFs and their corresponding KPIs. The managers should capture their manufacturing environment which can reflect their own priority considerations to establish the impact of each KPI on its corresponding CSF.

Originality/value

– Although many issues related to SD have been widely researched individually, few studies have been reported with a model to quantify, monitor, analyze, and evaluate the growth of SD performance in manufacturing environment in Indian context. The proposed model has the ability to capture the performance along KPIs and CSFs to draw fruitful conclusions regarding the success of the SD programme.