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This paper uses data from 349 employee involvement (EI) team projects to explore the relationships between process type, operational performance, employee involvement, and environmental performance. We investigate the stated goals and outcomes of EI team projects and relationships among these. For repetitive manufacturing processes in particular, we find strong relationships between the operational goals and outcomes of teams and the positive environmental impact outcome. To the extent that environmental performance results from operational systems, this paper suggests that the continuous improvement efforts of operations managers, including EI team projects, can be a key source of environmental improvements. Managers who understand this will take overt steps to leverage their operational improvement systems for environmental gains. From a theory development standpoint, questions are raised regarding the areas of potential synergy between operational and environmental improvement.

The purpose of this paper is to analyse the importance of specific, quality-related employees’ attributes to the enhancement of product quality in food companies. The main goal is to examine the synergistic relationships between specific employees’ attributes, which have been related in literature to ISO 9000 successful implementation, to continuous improvement, operational performance and product quality.

The analysis includes an initial exploratory factor analysis, followed by confirmatory factor analysis and structural equation modelling, in order to investigate the relations between the constructs of the proposed model.

The findings reveal that although the examined quality-related “employees’ attributes” do not directly contribute to “product quality”, they influence both “continuous improvement” and “operational performance” of food firms. The results also confirm the impact of both “continuous improvement” and “operational performance” on “product quality” and also that “continuous improvement” helps explain “operational performance”.

The domain in which the model has been validated, the restricted use of moderators in the model and lack of empirical validation of the model in non-food sector companies, based on various respondents from each company, are a number of limitations associated with this study which suggest future research proposals.

The findings of this study can motivate managers of food companies to focus on certain quality-related employees’ attributes in order to boost continuous improvement of ISO 9001 systems and operational performance of their companies, leading to product quality enhancement.

This study finds particular relevance in emphasizing that although specific quality-related employees’ attributes, as these are detected in literature, have a significant contribution towards continuous improvement and operational performance, they are not the only critical factor leading to product quality. More complex relationships need to be considered by integrating other constructs as major antecedents of food product quality.

Micro-enterprises have a vital role in the development of a nation by creating employment, encouraging entrepreneurship, balancing social income and educating the workforce. Yet, micro-enterprises face significant operational challenges such as low productivity, high production costs and long changeover times. These challenges are often overlooked by researchers and practitioners but have a drastic impact on micro-enterprises' operational performance. With over 95% of the economy consisting of micro-enterprises, it is vital to improve operational performance and competitiveness of the micro-enterprises.

Considering the data availability and practical challenges of gathering data from micro-enterprises, an action research methodology was selected as a suitable research method. Following the initial diagnostic visits, planned interventions were prepared and results were observed to gather data and draw conclusions.

Findings suggest that commonly adapted performance improvement initiatives by large enterprises cannot be directly applied in micro-enterprises to enhance operational performance. Micro-enterprises lack the critical resources and company culture to easily adapt these initiatives. On the other hand, when these performance improvement initiatives are filtered according to specific needs of micro-enterprises, continuous improvement initiatives were often found to be effective in improving operational performance. Specifically, 5S, single-minute exchange of dies (SMED), suggestion schemes, layout improvements, management coaching, visual management, empowerment were found to be useful and suitable to address command and control culture, low productivity, unorganised workspace, undelegated authority, low skilled employees and unwillingness to take responsibility problems.

Further research is required to investigate the specific factors that affect the adaptation of continuous improvement initiatives such as culture and industry type.

This research extends and contributes the current literature on continuous improvement initiatives by revealing how performance improvement initiatives need to be filtered according to the specific needs of micro-enterprises, and how these initiatives can be used to address specific problems to improve operational efficiency. It provides a conceptual framework to guide the decision-making process on operational performance improvement in micro-enterprises.

This study aims to investigate how to identify and address production levelling problems in assembly lines utilising an intensive manual workforce when higher productivity levels are urgently requested to meet market demands.

A mixed-methods approach was used in the research design, integrating case study analysis, interviews and qualitative/quantitative data collection and analysis. The methodology implemented also introduces to the literature on operational performance a novel combination of data analysis methods by introducing the use of the Natural Language Understanding (NLU) methods.

First, the findings unveil the impacts on operational performance that transportation, limited documentation and waiting times play in assembly lines composed of an intensive workforce. Second, the paper unveils the understanding of the role that a limited understanding of how the assembly line functions play in productivity. Finally, the authors provide actionable insights into the levelling problems in manual assembly lines.

This research supports industries operating assembly lines with intensive utilisation of manual workforce to improve operational performance. The paper also proposed a novel conceptual model prescriptively guiding quick and long-term improvements in intensive manual workforce assembly lines. The article assists industrial decision-makers with subsequent turnaround strategies to ensure higher efficiency levels requested by the market.

The paper offers actionable findings relevant to other manual assembly lines utilising an intensive workforce looking to improve operational performance. Some of the methods and strategies examined in this study to improve productivity require minimal capital investments. Lastly, the study contributes to the empirical literature by identifying production levelling problems in a real context.

The purpose of this research is to examine the effect of kaizen culture on innovation and operational performance of electrical and electronic manufacturing companies in Malaysia. A research framework, with underpinning theories of dynamic capabilities and socio-technical systems, was conceptualized to investigate the interplay of these relationships.

Data were collected from 123 manufacturing companies using an online survey and analyzed with IBM SPSS Statistics version 24.0 and the partial least squares structural equation modeling (PLS-SEM) (SmartPLS) version 3.2.8.

Ultimately, the findings proved that kaizen culture is crucial for organizations to optimize their operational performance and can be nurtured through the implementation of process innovation and organizational innovation.

Unlike past studies, this research examines the concepts of innovation, kaizen culture and operational performance in a single study; thus, provides further opportunities for new discoveries through such relationships. Also, the novelty is identifying that kaizen culture can be nurtured via innovation.

This study is aimed at examining the effect of Total Quality Management (TQM) practices on the operational performance of ISO 9001:2008 certified manufacturing companies in Ethiopia.

A cross-sectional survey was conducted to meet the purpose. Primary data was collected from the managers and senior experts working under the production and quality management units of the surveyed firms. Data was obtained from a survey of 302 participants found in 73 ISO 9001:2008 certified manufacturing organizations. Both EFA and CFA were applied to validate and confirm the instrument, and Structural Equation Modeling (SEM) was used to test the hypotheses.

The results revealed that among the practices of TQM used in the model only supplier quality management, continuous improvement and process management were found to have significant and positive effect on the operational performance of the ISO 9001:2008 certified manufacturing organizations in Ethiopia.

Future studies are suggested to consider some contextual variables such as firm age, scope of operation, firm size and firm strategy while addressing the objective.

The study will encourage managers of manufacturing companies in Ethiopia to utilize a reliable and valid framework of TQM practices for better operational performance results.

The fact that Ethiopian manufacturing organizations are required to improve their product's quality in order to improve their productivity and enhance their competitiveness in a global market is the rationale of this study. Even though several studies have evolved to scrutinize the link between TQM and operational performance across the world, nearly nothing, is known about this linkage in Ethiopia. Thus, the study represents one of the first attempts to empirically investigate this linkage in Ethiopian context.

This paper proposes the adoption of Industry 4.0 (I4) technologies and lean techniques for improving operational performance in the healthcare sector.

The research adopted a systematic literature review and feedback of healthcare professionals to identify the inefficiencies in the current healthcare system. A questionnaire was used to get feedback from the patients and the hospital staff about the current practices and issues, and the expected impact of technology on existing practices. Data were analysed using descriptive statistics, correlation analysis and multiple regression analysis.

The results indicate that I4 technologies lead to the improvement of the operational performance, and the perceptions about I4 technologies are made through the pre-medical diagnosis. However, a weak correlation between lean practices and healthcare operational performance compared to that of I4 technologies and operational performance indicate that lean practices are not fully implemented in the Sri Lankan healthcare sector to their full potential.

This study is limited to two government hospitals, with insights from only the doctors and nurses in Sri Lanka. Furthermore, the study is limited to only selected aspects of I4 technologies (big data, cloud computing and IoT) and lean concepts (value stream mapping and 5S). Therefore, recommendations on the adoption of I4 technologies in the healthcare sector need to be made within the scope of the study investigation.

The implementation of I4 technologies needs careful consideration of process improvement as part of the overall plan for achieving the maximum benefits of technology adoption.

The findings of the research can be used as a benchmark/guide for other hospitals to explore the adoption of I4 technologies, and how process improvement from lean concepts could influence the overall operational performance.

The purpose of this paper is to investigate the impact of hard total quality management (TQM) practices on operational performance dimensions in manufacturing organizations.

The study was designed in the Jordanian manufacturing sector. Organizations that are familiar with hard TQM practices specifically that had already implemented ISO 9001 certificate were randomly surveyed through structured questionnaire, yielded a sample of 40 responding organizations. Principal component factor analysis was used to analyze hard TQM practices implementation and organizations operational performance dimensions. As a result, specific hard TQM practices and operational performance dimensions were extracted. The hard TQM practices that significantly influence operational performance dimensions were tested using simple and multiple linear regression analysis.

The research findings showed that hard TQM practices in manufacturing sector include; continuous improvement, statistical process control (SPC), process management and quality tools and techniques. Meanwhile, operational performance dimensions include; quality and inventory management performance. Also, the findings showed that continuous improvement and SPC practices play a major role in obtaining the desired results of operational performance.

Three limitations can be identified in this research, using subjective measures of TQM practices and operational performance, low response rate and using a sample of organizations from various industries. This paper can help Jordanian manufacturing organizations to foster proper practices and make the right decisions related to operational performance.

This study describes a reliable hard TQM model that can be used by manufacturing organizations to improve their operational performance. Also, the results of this study contribute to prior literature and recommend some best practices for manufacturing organizations.

The purpose of this paper is to explore the role of cross‐functional teams in the alignment between system effectiveness and operational effectiveness after the implementation of enterprise information systems (EIS). In addition, it aims to explore the contribution of cross‐functional teams to improvement in operational performance.

The research uses a combination of qualitative and quantitative methods, in a two‐stage methodological approach, to investigate the influence of cross‐functional teams on the alignment between system effectiveness and operational effectiveness and the impact of the stated alignment on the improvement in operational performance.

Initial findings suggest that factors stemming from system effectiveness and the performance objectives stemming from operational effectiveness are important and significantly well correlated factors that promote the alignment between the effectiveness of technological implementation and the effectiveness of operations. In addition, confirmatory factor analysis has been used to find the structural relationships and provide explanations for the stated alignment and the contribution of cross‐functional teams to the improvement in operational performance.

The principal limitation of this study is its small sample size.

Cross‐functional teams have been used by many organisations as a way of involving expertise from different functional areas in the implementation of innovative technologies. An appropriate use of the dimensions that emerged from this research, in the context of cross‐functional teams, will assist organisations to properly utilise cross‐functional teams with the aim of improving operational performance.

The paper presents a new approach to measure the effectiveness of EIS implementation by adding new dimensions to measure it.

The purpose of this paper is to examine the moderating role of Industry 4.0 technologies on the relationship between lean production (LP) and operational performance improvement within Brazil, a developing economy context.

One representative from each of the 147 studied manufacturing companies filled in a survey on three internally related lean practice bundles and two Industry 4.0 technology bundles, with safety, delivery, quality, productivity and inventory as performance indicators. As this study was grounded on the contingency theory, multivariate data analyses were performed, controlling for four contingencies.

Industry 4.0 moderates the effect of LP practices on operational performance improvement, but in different directions. Process-related technologies negatively moderate the effect of low setup practices on performance, whereas product/service-related technologies positively moderate the effect of flow practices on performance.

With the advent of Industry 4.0, companies have been channelling their efforts to achieve superior performance by advancing levels of automation and interconnectivity. Eventually, widespread and proven manufacturing approaches, like LP, will integrate such technologies which may, in turn, impair or favour operational performance. Contrary to previous studies, the contingencies appeared to have a less extensive effect. The authors point to various options for further study across different socio-economic contexts. This study evidenced that purely technological adoption will not lead to distinguished results. LP practices help in the installation of organisational habits and mindsets that favour systemic process improvements, supporting the design and control of manufacturers’ operations management towards the fourth industrial revolution era.