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Green innovations (GI) is an emerging field that presents an opportunity to thrive in the competitive market. Nevertheless, in the field of green innovation, there is no clear and complete picture. To fill this gap the current study was conducted with the following objectives. (1) To identify existing knowledge on green innovation and offer bibliographic insights through a systematic literature review (SLR), (2) To comprehend the areas in which research is lacking within the territory of green innovation.

The SLR methodology was employed in this study, following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. A total of 381 articles published between 2015 and 2023 were extracted from Lens org. database for review. Additionally, a bibliometric analysis was conducted to fulfill the research objectives.

The findings revealed that the field of green innovation lacks sufficient scholarly attention, despite being an emerging area. As a result, several gaps have been identified, encompassing various aspects of green innovation. These gaps include areas such as green innovation behavior, green finance, barriers to green innovation, green product innovation, green technological innovation and more.

This study adds to the existing body of knowledge on green innovation by addressing identified knowledge gaps. In particular, this knowledge contributes to future researchers aiming to design and conduct studies that target these identified research gaps.

By applying a systematic literature review, this paper aims to identify the major healthcare problem domains (i.e. target areas) for lean supply chain management (LSCM) and to provide a list of the most common techniques for implementing LSCM in healthcare. Moreover, this study intends to investigate various contingency factors that may have influenced the selection of LSCM target areas or the application of LSCM techniques by healthcare organizations.

A systematic literature review was carried out following the method presented by Tranfield et al. (2003). Thereby, 280 peer-reviewed journal articles, published between 1995 and 2018, were selected, profiled and reviewed. In total, 75 papers were also selected for a qualitative analysis, known as meta-study, on the basis of high relevancy to the research objectives.

This work extracts, from previous research, a set of target areas for improving supply chain in healthcare by applying lean approaches. The work also unifies the language of lean thinking and supply chain in healthcare by defining metaphors in circumstances under which healthcare organizations pursue similar objectives from their supply chain management and lean programs (Schmitt, 2005). This paper also outlines a list of applications of lean for supply chain improvement in healthcare. Finally, a set of contingency factors in the field of lean supply chain in healthcare is found via the published literature.

This paper provides insights for decision-makers in the healthcare industry regarding the benefits of implementing LSCM, and it identifies contingency factors affecting the implementation of LSCM principles for healthcare. Implementing LSCM can help healthcare organizations improve the following domains: internal interaction between employees, supply chain cost management, medication distribution systems, patient safety and instrument utilization.

The research shows potential synthesis of LSCM with the healthcare industry’s objectives, and, thus, the outcome of this research is likely to have positive influence on the quality and cost of healthcare services. The objectives of the healthcare industry are cost reduction and providing better service quality, and LSCM implementation could be an effective solution to help healthcare to achieve these objectives.

The prime value of this paper lies in conducting a systematic literature review using a meta-study to identify the major factors of implementing LSCM in healthcare. Only a few other studies have been published in the literature about LSCM in healthcare.

This paper aims to review the healthcare supply chain (HSC) literature along various areas and to find out the gap in it.

In total, 143 research papers were reviewed during 1996-2017. A critical review was carried out in various dimensions such as research methodologies/data collection method (empirical, case study and literature review) and inquiry mode of research methodology (qualitative, quantitative and mixed), country-specific, targeted area, research aim and year of publication.

Supply chain (SC) operations, performance measurement, inventory management, lean and agile operation, and use of information technology were well studied and analyzed, however, employee and customer training, tracking and visibility of medicines, cold chain management, human resource practices, risk management and waste management are felt to be important areas but not much attention were made in this direction.

Mainly drug and vaccine SC were considered in current study of HSC while SC along healthcare equipment and machine, hospitality and drug manufacturing related papers were excluded in this study.

This literature review has recognized and analyzed various issues relevant to HSC and shows the direction for future research to develop an efficient and effective HSC.

The insight of various aspects of HSC was explored in general for better and deeper understanding of it for designing of an efficient and competent HSC. The outcomes of the study may form a basis to decide direction of future research.

The requirement of high-quality government-supported healthcare services has necessitated the significance of recognizing new management practices to enhance patient satisfaction. Hence, the purpose of this study is to address the patient's enhanced custom needs through the implementation of supply chain value stream mapping (SCVSM) in government-supported drug distribution system (DDS) for enhanced patient's satisfaction.

This study elucidates the role of one popular emerging management technique (i.e. SCVSM) in the healthcare sector by an investigative case study. The DDS in Rajasthan (India) was selected for this study. The data for this analysis were gathered in three ways (i.e. direct observation, documentary analysis and semi-structured interviews).

The outcome of this current study reveals that it is possible to apply the tool (SCVSM) to investigate the wastes in DDS to deliver the medicines at right time, right quantity and right quality. The application of SCVSM concluded that the various Kaizens (areas needed to improve) in lead time; transportation and routing should be adopted. The study further implemented kaizen on the current SCVSM and developed future SCVSM.

Although various stages and functions exist in the healthcare supply chain, the current study is focused on the distribution system of drugs. The proposed approach provides a platform for both researchers and academicians to understand the existing DDS and to implement the SCVSM approach in the healthcare environment. The results show that the proposed SCVSM model is able to identify some operational bottlenecks and wastes which interfere in DDS.

It was observed that limited literature related to lean implementation on DDS and implementation of SCVSM on the healthcare environment in general and government-supported or public in specific are available. The current study on the application of SCVSM in DDS is unique in nature and will definitely add value to the existing literature of the application of value stream mapping (VSM) on the healthcare supply chain management field.

This study aims to address the aspects of product and process innovation strategies and their determining factors to understand their characteristics in clothing manufacturing and contribution for a successful and competitive clothing industry.

This general review is based on literature data of previous studies on innovation that transcend and cover the aspects of innovation applicable in the clothing industry. Although the scope of discussion is theoretically broad, it focusses on the context of innovation strategies in clothing manufacturing and the determinant factors indicating the acquisition and implementation of product and process-related innovation activities, simultaneously exploring and linking their implications for adopting, managing and integrating enterprise activities to the values of desired innovation novel models.

Based on theoretical background and pragmatic generalizations, product and process innovation strategies in clothing manufacturing firms tend to incline more towards computer-integrated technologies and concepts meant to promote product development, process optimization and organizational integration. Industry, technological and R&D factors tend to significantly determine innovation capability of a clothing firm.

This review generates integrated conceptual frameworks for product and process innovation strategies applicable in clothing firms and their determinant factors as prelude to empirical validation.

The purpose of this study is to gain a better understanding of the impacts of Logistics 4.0 initiatives (focusing on automated warehousing systems) on the economic, environmental and social dimensions of firms' sustainability performance. To achieve this objective, a new framework for the assessment of sustainable warehousing in the 4.0 era is developed.

The framework, developed via the item-objective congruence index, Q-sort method and interviews with experts, is employed to assess performance changes through management interviews in two warehousing companies after the implementation of automation technologies.

Most aspects of both companies' sustainability performance are considerably improved (e.g. productivity, accuracy, air emission, worker safety and supply chain visibility); however, the outcome for some criteria might be worsened or improved depending on each company's solutions and strategies (e.g. increasing electricity bills, maintenance costs and job losses).

The findings provide insight into the effective implementation of warehousing technologies. The proposed framework is also a valid and reliable instrument for sustainability assessment for warehousing operators, which companies can utilise for self-assessment.

This paper contributes to establishing a body of literature that explores the previously unclarified effects of Logistics 4.0 on firms' sustainability performance. The proposed framework, which captures critical concerns of corporate sustainability and technological adaptation, is also the first of its kind for warehouse performance assessment.

An alignment between financial and operational measures is an essential element to capture the lean productivity improvements enabling supply chain sustainability. With the aim of supporting small and medium-sized enterprises (SMEs) in addressing corporate sustainability challenges, this study aims to examine the impact of leanness on supply chain sustainability, and the moderating role of sustainability control systems (SCS) on the relationship between leanness and supply chain sustainability.

Drawing on lean manufacturing and the levers of control framework, survey data was collected from 106 manufacturing SMEs in Sri Lanka. Moderated multiple regression analysis was used to test the proposed hypotheses.

The study finds that lean manufacturing practices, such as just-in-time deliveries, quality management, environmental management and employee involvement show a significant positive impact on supply chain sustainability. As proposed, the interactive use of SCS shows a significant, positive moderating impact on the relationship between employee involvement and social supply chain sustainability. The diagnostic use of SCS negatively moderates the relationships between just-in-time deliveries and economic supply chain sustainability, and environmental management and economic supply chain sustainability. However, both interactive and diagnostic uses of SCS do not show any significant moderating impact between lean manufacturing and environmental supply chain sustainability.

The following limitations should be taken into account in interpreting the results and implications of this study. Firstly, the study refers to supply chain sustainability as environmental, social and economic sustainability. As these concepts represent broader perspectives of sustainability, and no consensus on how to measure has yet been agreed, future studies may focus on other variables that might capture different perspectives of supply chain sustainability. Secondy, future researchers may further extend the role of SCS (including all four control systems – belief, boundary, interactive and diagnostic) in examining the impact of leanness on supply chain sustainability. Thirdly, this study has considered a sample of manufacturing SMEs in the Western province in Sri Lanka. The results should be carefully generalised to other manufacturing organisations in Sri Lanka and beyond. Finally, future studies may also investigate the impact of leanness on supply chain sustainability by using alternative methodologies, such as multiple case studies.

SMEs are more likely to focus on diagnostic control systems with the aim of promoting economic supply chain sustainability. However, the findings reveal that manufacturing SMEs in the developing country context lack strong SCS to enable supply chain sustainability.

Purpose: The study aims to explore the wider acceptance of blockchain technology and growing faith in this technology among all business domains to mitigate the chances of fraud in various sectors.

Design/Methodology/Approach: The authors focus on studies conducted during 2015–2022 using keywords such as blockchain, fraud detection and financial domain for Systematic Literature Review (SLR). The SLR approach entails two databases, namely, Scopus and IEEE Xplore, to seek relevant articles covering the effectiveness of blockchain technology in controlling financial fraud.

Findings: The findings of the research explored different types of business domains using blockchains in detecting fraud. They examined their effectiveness in other sectors such as insurance, banks, online transactions, real estate, credit card usage, etc.

Practical Implications: The results of this research highlight (1) the real-life applications of blockchain technology to secure the gateway for online transactions; (2) people from diverse backgrounds with different business objectives can strongly rely on blockchains to prevent fraud.

Originality/Value: The SLR conducted in this study assists in the identification of future avenues with practical implications, making researchers aware of the work so far carried out for checking the effectiveness of blockchain; however, it does not ignore the possibility of zero to less effectiveness in some businesses which is yet to be explored.

This research critically investigates product development in the context of fast fashion online retailers who are developing “own label” fashion clothing. With a focus upon inputs, outputs, planning and management in order to comprehensively map the interplay of people, processes and the procedures of the product development process adopted.

Qualitative research method was employed. Face-to-face semi structured in depth interviews were conducted with key informants from market leading fast fashion online retailers in the UK.

The major findings of this research demonstrate the disruptions in the product development process in contemporary and challenging fashion retailing and a new “circular process” model more appropriate and specific to online fast fashion businesses is presented.

The research has implications for the emerging body of theory relating to fashion product development. The research is limited to UK online fashion retailers, although their operations are global.

The findings from this study may be useful for apparel product development for retailers considering an online and fast fashion business model.

The emergent process model in this study may be used as a baseline for further studies to compare product development processes.