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European food manufacturers are switching to pan‐European marketing and rationalizing manufacturing operations to achieve economies of scale as margins are squeezed by retailers and brand loyalty wanes. The US multinational CPC International appears to epitomize this trend. However, its focus on manufacturing efficiencies cannot compensate for long‐standing marketing inefficiencies. It needs to recognize that although it has a pan‐European approach to the Knorr brand name, it cannot expect this brand to achieve sales levels in the UK comparable with those gained on the Continent.

European food manufacturers are switching to pan‐European marketing and rationalizing manufacturing operations to achieve economies of scale as margins are squeezed by retailers and brand loyalty wanes. The US multinational CPC International appears to epitomize this trend. However, its focus on manufacturing efficiencies cannot compensate for long‐standing marketing inefficiencies. It needs to recognize that although it has a pan‐European approach to the Knorr brand name, it cannot expect this brand to achieve sales levels in the UK comparable with those gained on the Continent.

The Korean auto industry of less than ten years ago was quite different from today. Then it relied heavily on technology and one company, selling one model in one export market. Today, the market concentration strategy has been abandoned and the international business strategy is in a period of transition. Once overlooked, Europe is now a priority market. Explains why and considers the implications.

1996 marks the centenary of car production in the UK. Once a by‐word for inefficiency, contends that the UK car industry has been revitalized. The political environment of the 1980s rendered the UK an attractive location for Japanese “transplants”. Explains how Japanese producers have transferred their highly competitive manufacturing processes and management techniques to their UK facilities, prompting other producers to emulate these practices. The UK automobile industry is world‐class once again.

This study investigates the readiness for and understanding of Industry 4.0 in a pharmaceutical manufacturer.

Utilising qualitative interviews within a single-site case study in a pharmaceutical organisation, the understanding of Industry 4.0 and the challenges, benefits and critical success factors for Industry 4.0 readiness therein and applications of Industry 4.0 are assessed.

The research findings found that Industry 4.0 implementation has implications for regulatory compliance and enhancing operational excellence on the site. The Pharma site is embracing Industry 4.0 technologies, particularly for paperless systems and data collation and analytics, but the site is somewhat of a late adaptor of Industry 4.0 implementation and is on a path towards increased digitalisation.

A limitation of the study is that it is a single-site case study, but the results can be generalisable in demonstrating how Industry 4.0 is being deployed and its challenges and benefits.

This study is unique and novel because to the authors knowledge, it is one of the first studies on Industry 4.0 readiness and status in an Irish Pharma site within a single pharmaceutical organisation. This study can be leveraged and benchmarked by all pharmaceutical organisations as it demonstrates the complexity of Industry 4.0 deployment from a highly regulated and complex pharmaceutical manufacturing and processing viewpoint.

The study here responds to the view that the crucial problem in strategic management (research) is firm heterogeneity – why firms adopt different strategies and structures, why heterogeneity persists, and why competitors perform differently. The present study applies complexity theory tenets and a “neo-configurational perspective” of Misangyi et al. (2016) in proposing complex antecedent conditions affecting complex outcome conditions. Rather than examining variable directional relationships using null hypotheses statistical tests, the study examines case-based conditions using somewhat precise outcome tests (SPOT). The complex outcome conditions include firms with high financial performances in declining markets and firms with low financial performances in growing markets – the study focuses on seemingly paradoxical outcomes. The study here examines firm strategies and outcomes for separate samples of cross-sectional data of manufacturing firms with headquarters in one of two nations: Finland (n = 820) and Hungary (n = 300). The study includes examining the predictive validities of the models. The study contributes conceptual advances of complex firm orientation configurations and complex firm performance capabilities configurations as mediating conditions between firmographics, firm resources, and the two final complex outcome conditions (high performance in declining markets and low performance in growing markets). The study contributes by showing how fuzzy-logic computing with words (Zadeh, 1966) advances strategic management research toward achieving requisite variety to overcome the theory-analytic mismatch pervasive currently in the discipline (Fiss, 2007, 2011) – thus, this study is a useful step toward solving the crucial problem of how to explain firm heterogeneity.

The study aims to investigate the impact of additive manufacturing (AM) on the performance of a spare parts supply chain with a particular focus on underlying spare part demand patterns.

This work evaluates various AM-enabled supply chain configurations through Monte Carlo simulation. Historical demand simulation and intermittent demand forecasting are used in conjunction with a mixed integer linear program to determine optimal network nodal inventory policies. By varying demand characteristics and AM capacity this work assesses how to best employ AM capability within the network.

This research assesses the preferred AM-enabled supply chain configuration for varying levels of intermittent demand patterns and AM production capacity. The research shows that variation in demand patterns alone directly affects the preferred network configuration. The relationship between the demand volume and relative AM production capacity affects the regions of superior network configuration performance.

This research makes several simplifying assumptions regarding AM technical capabilities. AM production time is assumed to be deterministic and does not consider build failure probability, build chamber capacity, part size, part complexity and post-processing requirements.

This research is the first study to link realistic spare part demand characterization to AM supply chain design using quantitative modeling.

This study aims to investigate how early and late adopters of Quality 4.0 (Q4.0) differ in terms of organizational performance.

The authors employed a grounded theory approach for interviewing 15 senior managers from diverse organizational contexts throughout the globe as part of their qualitative research methodology.

The research's findings were analyzed based on four types of performance: operational, financial, environmental and social. It was clear that early adopters of Q4.0 were sustaining superior performance in quality over time, even though their investment was significantly higher than that of late adopters. From a financial viewpoint, it was evident that early adopters had a competitive edge over their rivals compared to late adopters. Late adopters have utilized the notion of the circular economy (CE) more effectively than many early adopters in the context of environmental performance in order to establish a green economy and sustainable development.

Although the results of the interview indicate that Q4.0 is having some positive effects on social performance, in the authors' view, it is still least understood from an empirical standpoint.

The study's findings assist organizations in comprehending the performance differences between Q4.0 early adopters and late adopters.

The main purpose of this study is to investigate Ishikawa’s statement that “95% of problems in processes can be accomplished using the 7 Quality Control (QC) tools” and explore its validity within the health-care sector. The study will analyze the usage of the 7 QC tools in the health-care service sector and the benefits, challenges and critical success factors (CSFs) for the application of the 7 QC tools in this sector.

In order to evaluate Ishikawa’s statement and how valid his statement is for the health-care sector, an online survey instrument was developed, and data collection was performed utilizing a stratified random sampling strategy. The main strata/clusters were formed by health-care professionals working in all aspects of health-care organizations and functions. A total of 168 participants from European health-care facilities responded to the survey.

The main finding of this study is that 62% of respondents were trained in the 7 QC tools. Only 3% of participants in the health-care sector perceived that the seven tools of QC can solve above 90% of quality problems as originally claimed by Dr Ishikawa. Another relevant finding presented in this paper is that Histograms, Cause and Effect diagrams and check sheets are the most used tools in the health-care sector. The least used tools are Stratification and Scatter diagrams. This paper also revealed that the 7 QC tools proposed by Dr Ishikawa were most used in hospital wards and in administration functions. This work also presents a list of CSFs required for the proper application of the 7 QC tools in healthcare.

This research was carried out in European health-care facilities – and there is an opportunity to expand the study across global health-care facilities. There is also an opportunity to study the use of the tools and their impact on hospital performance using the Action Research methodology in a health-care organization.

To the best of the authors’ knowledge, this is the very first research within the health-care sector that focused on investigating the usage of all the 7 basic tools and challenging Dr Ishikawa’s statement: “95% of problems in processes can be accomplished using the 7 Quality Control (QC) tools” from his book “What is Quality Control?” The results of this study represent an important first step toward a full understanding of the applicability of these tools in the health-care sector.

This study investigates the challenges and opportunities that organisations face in implementing Quality 4.0 as an approach to quality management and investigate the current state of Quality 4.0 implementation.

This study uses a qualitative research methodology to interview senior managers from globally based manufacturing and service industries.

The study explicates that most organisations implemented Quality 4.0 to improve their flexibility, efficiency, transparency and productivity while focusing on improving service quality, customer satisfaction and reducing cost. In terms of sustainability of Quality 4.0 the key factors found were a consistent effort from the top management, continuous training to employees, building leadership quality and creating a habit of using Quality 4.0.

The findings of this study offer useful guidance to organisations desirous of implementing Quality 4.0. In addition, the findings have identified key sustainability factors, helping organisations ensure a successful implementation and long-term returns from Quality 4.0.

The findings of this study contribute to the body of knowledge related to Quality 4.0 and help organisations in their digital transformation journey. In addition, it is one of the first studies to investigate the key factors for Quality 4.0 sustainability.