Purpose: The purpose of this paper is to investigate the application of Lean Six Sigma (LSS) in the continuous process industry, taking an insight into the food processing industry; and to evaluate the impact of LSS on environmental sustainability. The authors present observations and experiences from the application of LSS at a Norwegian dairy producer, with the aim of bringing out pertinent factors and useful insights that help us to understand how LSS can contribute toward greater environmental sustainability in this industry type, something that is so far lacking in the extant literature.Design/methodology/approach: The authors adopt a single, longitudinal field study approach as we observe an entire cycle of the VSM-DMAIC (value stream mapping-define, measure, analyze, improve and control) LSS process, which evolved over a six-month period at the dairy.Findings: The authors highlight some of the important elements that should be considered when using LSS as a contributor toward greater environmental sustainability in fresh-food supply chains. The authors also present some of the specific outcomes and key success criteria that became apparent to the implementation team following the deployment of the VSM-DMAIC approach.Originality/value: The authors demonstrate how LSS can be applied in the food processing industry as a contributor to greater environmental sustainability. The authors also make useful reflections regarding the success criteria that can be used by researchers and practitioners for the effective deployment of such an approach, particularly in the continuous process industry.

Purpose: This purpose of this study is to provide an overview of the current state of research on Lean Six Sigma (LSS) and Industry 4.0 and the key aspects of the relationships between them. The research analyses LSS's evolution and discusses the future role of LSS 4.0 in an increasingly digitalized world. We present the benefits and motivations of integrating LSS and Industry 4.0 as well as the critical success factors and challenges within this emerging area of research.Design/methodology/approach: A systematic literature review methodology was established to identify, select and evaluate published research.Findings: There is a synergistic nature between LSS and Industry 4.0. Companies having a strong LSS culture can ease the transition to Industry 4.0 while Industry 4.0 technologies can provide superior performance for companies who are using LSS methodology.Research limitations/implications: One limitation of this research was that as this area is a nascent area, the researchers were limited in their literature review and research. A more comprehensive longitudinal study would yield more data. There is an opportunity for further study and analysis.Practical implications: This study reviews the evolution of LSS and its integration with Industry 4.0. Organisations can use this study to understand the benefits and motivating factors for integrating LSS and Industry 4.0, the Critical Success Factors and challenges to such integration.Originality/value: This is the first systematic literature review on LSS 4.0 and can provide insight for practitioners, organisations and future research directions.

It is generally accepted that lean production improves manufacturing processes through the systematic application of lean practices, and equally assumed that present day IT systems, particularly ERP systems, are essential for companies seeking efficiency through organisational integration. Though lean production and ERP co-exist in many companies today, there is an ongoing argument in the scientific literature as to whether or not ERP systems can be used to support lean production principles, particularly pull production. By applying a multiple-case-study approach, we assess the functionality offered by ERP systems to support pull production. We develop and apply a capability maturity model that can be used to assess the extent to which the usage of a company's current ERP system supports pull production practices and to suggest modifications to the ERP system in order to better serve the company's pull system. We focus on the application of lean production and ERP within small- and medium-sized enterprises, as in these companies decisions on lean and ERP are generally made by the same decision maker, which improves construct validity.

Purpose: Lean remains popular in a wide range of private and public sectors and continues to attract a significant amount of research. However, most of this research is not grounded in theory. This paper presents and discusses different expert viewpoints on the role of theory in lean research and practice and provides guidelines for future research.Design/methodology/approach: Seven experienced lean authors independently provide their views to the question “is Lean a theory?” before Rachna Shah summarizes the viewpoints and provides a holistic outlook for lean research.Findings: Authors agree, disagree and sometimes agree to disagree. However, a close look reveals agreement on several key points. The paper concludes that Lean is not a theory but has plenty of theoretical underpinnings. Many lean-related theories provide promising opportunities for future research.Originality/value: As researchers, we are asked to justify our research drawing on “theory,” but what does that mean for a practice-driven phenomenon such as lean? This paper provides answers and directions for future research.

This study aimed to understand the impact of digital culture on companies’ knowledge and constant commitment to digital transformation, as well as its impact on organizations as a whole. Secondly, it aimed to explore the impact of digital technology adoption on organizational performance and competitiveness. Finally, the study investigated the role of knowledge management during digital transformation. A quantitative study was developed using a descriptive design. A questionnaire was developed on pre-test was carried out withon 15 participants and since no doubts or difficulties were detected, it was made available on the internet between January and April 2022. A total of 291 questionnaires were collected and validated. Data were imported from Google Forms for analysis in SPSS, version 25.0, andSmartPLS^® 4.0 software. The questionnaire revealed good internal consistency (α = 0.922). Ten of the twelve hypotheses were confirmed, that is, the existence of positive and significant relationships between digital culture (DC) and knowledge of digital transformation (KDT); DC and adoption of digital technologies (ADT); DC and knowledge management (KM); commitment (C) and KDT; C and productivity (P); KDT and ADT; ADT and KM; ADT and P; ADT and C; and P and C. The results of regression analyses showed that the variables that contributed to the model (“competitiveness of organizations”) were productivity, the adoption of digital technologies, commitment to digital technologies, and knowledge management. The variables CD and KDT (Knowledge of digital transformation) presented lower and non-significant values.