Purpose: This paper proposes the adoption of Industry 4.0 (I4) technologies and lean techniques for improving operational performance in the healthcare sector.Design/methodology/approach: 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.Findings: 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.Research limitations/implications: 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.Practical implications: 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.Originality/value: 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.

Purpose: This study investigates the enablers and challenges of digital supply chains (DSCs) adoption and develops a digital supply chain maturity (DSCM) model as a basis for developing guidelines for DSC adoption in the digital transformation journey.Design/methodology/approach: The research involves a systematic literature review (SLR) of Industry 4.0 (I4) adoption in supply chain (SC) practices to identify key enablers and associated maturity levels. The literature search of published articles during the 1997–2020 period and subsequent screening resulted in 64 articles. A DSCM model was developed using the categorization of important enablers and associated levels transitioning from the traditional SC to the DSC ecosystem.Findings: Four broader categories of DSC enablers and challenges were identified from the content analysis of SLR. Digital strategy alongside I4 technologies and human capital were prominent in DSC adoption as I4 technologies and human capital depend on other enablers such as dynamic capabilities (DCs). Lack of infrastructure and financial constraints to implementing I4 were significant challenges in the DSC adoption.Research limitations/implications: The proposed DSCM model provides a holistic view of enablers and maturity levels from traditional SC to DSC adoption. However, the DSCM model needs to be empirically validated and streamlined further using inputs from practitioners.Practical implications: The proposed DSCM model can be used as a framework to guide practitioners in assessing maturity and developing implementation plans for successful DSC adoption.Originality/value: This research introduces a novel DSC maturity model through a holistic view of enablers and maturity levels from traditional SC to DSC adoption.

Purpose: This paper explores the challenges of food security from source to consumption of agri-food value chain by considering urban–rural linkages in city region food systems (CRFSs) and proposes a strategic framework for CRFS identifying strategies to promote urban–rural linkages among multiple stakeholders.Design/methodology/approach: A qualitative case study approach to a fruit and vegetable value chain from rural source to consumption in the Colombo City region identifies the challenges of food security. A snowballing sampling method was used to gather information from retailers, wholesalers, commission agent, farmers and consumers. The data were collected through face-to-face interviews, observations and secondary data sources. The data were analysed using thematic analysis.Findings: Challenges in food security in the value chain related to five areas: input and production, infrastructure, public institutional support and policy, finance, and food market. Colombo city is heavily dependent on food sourced from other cities due to limited land and lack of locally situated commercially oriented farmers.Research limitations/implications: This research is limited to a selected number of fruits and vegetables in the Colombo city region and leaves out other food items.Originality/value: This study contributes to informing policy and decision-making processes to promote a more balanced rural to city food value chain in Colombo City that could benefit all stakeholders from rural small-scale producers to urban consumers.

Sustainability is emerging as a main consideration throughout the industrial world due to the environmental pollution and degradation happening in a major scale as a result of industrial wastes while lean management is becoming a popular management tool in minimizing waste. Logistics industry contributes for these issues due to the wastes released in a considerable amount. Experts have highlighted that implementing lean principles in parallel to green concepts is more successful; which could lead to waste and cost reduction. A theoretical gap has been identified in the field of logistics in applying lean and green concepts in the context of Industry 4.0. A comprehensive literature review was conducted to address the identified research gap with the objective of examining the important lean practices and green concepts which are expected to enhance the operational performance of logistics functions. A key word based search, analysis of the topic and abstract, full text review were the steps followed respectively, for selecting the most relevant research papers which have been proven as valid, accepted and published to extract the knowledge for this study. As the major contribution, authors have developed a conceptual framework which focuses on the enhancement of operational performance of logistics operations by applying lean and green concepts with special reference to Industry 4.0 technologies. The results of the study will be beneficial for the LSP as it will suggest the strategies, concepts and techniques to enhance the operational performance of logistics functions.

Purpose: This research aims to identify, examine and evaluate barriers to the adoption of digital servitization in manufacturing firms in the case of the Sri Lankan manufacturing sector and analyze the inter-relationships among digital servitization barriers. Design/methodology/approach: Based on the comprehensive literature review, 13 barriers were identified. The grey decision-making trial and evaluation laboratory (grey-DEMATEL) approach was used to uncover and analyze the relationships among barriers in terms of their overall influence and dependencies. Findings: A prominent barrier to the success of adopting digital servitization in the Sri Lankan manufacturing sector is the lack of digital strategy in developing activities related to the design of digital service packages, organizational structures and processes. Supply chain integration is the most influential factor, which plays an important role in developing a competitive advantage by encouraging innovation process capabilities in servitized companies. Practical implications: Industry practitioners can develop guidelines for adopting digital servitization practices based on the importance and interdependencies of different barriers and thereby prioritize projects within a program of digital servitization adoption in their organizations. Originality/value: Research studies on barriers to digital servitization are limited to exploratory nature and have adopted mainly the qualitative approach, such as in-depth interviews. No empirical study has investigated the inter-relationships among digital servitization adoption barriers in the manufacturing sector. This study provides a holistic view of different barriers to the adoption of digital servitization in the manufacturing sector as a basis for developing comprehensive digital servitization strategies to manage and leverage complexity in digital transformation.

Purpose: Today’s businesses are looking for a circular bioeconomy (CBE) to develop a sustainable manufacturing process as industrial operations result in significant amounts of waste materials and the depletion of natural sources. The industry commonly applies techniques such as lean manufacturing (LM), digital innovations (DI) and green practices (GP) for operational and quality improvement. However, publications explaining how these technologies enable the CBE transition are scarce. This study examines CBE components, common practices of each technology facilitating the CBE transition, problems of solitary technology deployment as well as coupling technologies for the CBE transition.Design/methodology/approach: A scoping review was conducted to analyse previous studies in this new field. The data collection is in a quantitative manner, but the data synthesis process follows a similar method of synthesising data in the grounded theory method, which includes familiarisation with the data, open-coding and finalisation of the themes.Findings: Critical components of CBE were identified as biobased goods, industry symbiosis, material resource efficiency, renewable energy, product lifecycle and sharing economy. GP is the most prominent in moderating the CBE transition. We identify each technology has coupled relationships (Lean-4.0, Green-Lean and Green-4.0) technologies facilitated by the circularity concept, which form the core pillars of enablers and advance the CBE paradigm.Research limitations/implications: This study demonstrates that combining lean principles with green technology and digital technologies can effectively decrease waste and resource usage in biobased manufacturing processes, therefore endorsing the concept of resource efficiency in circular bioeconomy models.Practical implications: The results allow entrepreneurs to strategically incorporate different existing technologies to meet CBE fundamental objectives by initiating it with dual technologies and facilitate industry professionals and regulators to support the improvement of environmental sustainability performance in the manufacturing industry. The management will be able to focus on the common practices across the technologies, which have a dual benefit for both operational and environmental performance.Originality/value: The paper makes the first attempt to present the synergic impact of the three quality management technologies on a new concept of sustainability, CBE.