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Intrapreneurship (IP) and Strategic Human Resource Management (SHRM) are a paradigm in which the current global scenario of increased homeoffice and professional globalization can have the capacity to stimulate professionals’ autonomy and new business orientations able to re-invent new strategies, services, technologies and even leadership development. This study, of an exploratory nature, aims to analyze the synchronicities between IP and SHRM, raised by relational dynamics translated into leadership, organizational culture and individual practices having as a facilitating factor technology as an agent of change for continuous improvement (based on the Kaizen philosophy). It is supported by a qualitative analysis through a case study of a leading Portuguese group, Grupo Salvador Caetano, which has been in existence for 75 years.

The results demonstrate that dynamic relations are the synchronicities of IP and SHRM as long as stimulated and transmitted to collaborators, and that technology, facilitated these processes. The flexibility of SHRM, the sequence of delegation and implementation of relational dynamics must be the key for the synchronicities of SHRM and IP to be two phenomena that go side by side and contribute to more effective performance and evolution among collaborators, as they support each other in creating firms’ value for customers. Some contributions to theory and practice, raised through a logic of “in-house entrepreneurship,” are also presented at the end of the study.

The purpose of this study was to explore the innovative and proactive practices adopted by subsistence businesses under the COVID-19 health contingency. Evidence of the current situation and the contingency practices that businesses have implemented in dealing with the economic crisis caused by the COVID-19 pandemic was collected through a literature review of secondary information sources: bibliographic and hemerographic, as well as in-depth interviews with five owners of artisanal and agricultural subsistence businesses.

Faced with uncertainty, artisanal and agricultural subsistence businesses have adopted innovative and proactive survival practices. The closure of markets, the absence of tourism, the suspension of non-essential activities, the lack of mobility and transportation, and the closure of access in rural communities are some of the realities these businesses are experiencing. Subsistence businesses in marginalised areas are a long way from accessing information technologies for online sales and home deliveries, which are implemented by most businesses in urban areas. In contrast, they revert to ancestral marketing practices such as bartering and low prices to earn an income for family food. Despite the loss of over 50% of subsistence businesses in urban and semi-urban areas, online sales through social media and websites, socially responsible initiatives, along with government support programmes, have helped others stay in business.

This study aims to provide data on substance use amongst young people in Scotland to inform policy and practice for an age group who generally do not access specialist alcohol and drug services. The main objectives of the study were to assess the problem severity scores of items from a modified version of the DAST-10 brief screening instrument among respondents; examine correlations between a range of variables in relation to DAST-10 problem severity scores; and explore respondent knowledge of how and where to seek help.

A fixed quantitative design methodology recruited a non-probability sample of 4,501 respondents from an online survey made available by “We are With you” Scotland.

The survey was ethically approved by the School of Education and Social Sciences, University of the West of Scotland. It consisted of 32 questions exploring substances used within the past 12 months, and 12 weeks, and included the DAST-10. We further explored help seeking, and knowledge of support available to respondents.

Substance use patterns were markedly different from people currently known to specialist alcohol and drug services. Over half of respondents were under 25, and 62% report being employed. The most commonly used substances were cannabis and cocaine. One third of respondents recorded substantial or severe problem severity scores and reside in Scottish Local Authorities with high concentrations of socio-economic inequality.

Secure accommodation, stable relationships and being employed are protective factors in relation to reported negative health consequences associated with problem substance use.

Just under one third (27%) of respondents report knowing where to seek help for substance use problems; however, they are unwilling to attend existing specialist alcohol and drug services.

A non-probability sample of the Scottish population has a potential for response bias due to how and what way the survey was made available to respondents. It is acknowledged that while useful as a method of generating drug use data, there are limitations in how recently the substance use occurred, and in relation to the types of substances reported (cannabis, cocaine and ecstasy).

The study provides data to inform wider public health measures in relation to accessing support and addressing societal discrimination associated with the use of substances. The study provides data on service design for young people who do not access specialist alcohol and drug services.

The study informs substance use policy in the Scottish context in relation to a population of young people who use licit and illicit substances. Data contributes to evidence supporting correlations between problematic substance use and socio-economic inequality. Data indicates that existing specialist services require redesign.

The study is the first to be conducted within a Scottish context.

This study used a qualitative approach on five case studies in Brazilian industrial companies. The research used interviews, document analysis and on-site visits to collect and analyze data. The companies were selected based on the following criteria: operating in the industrial sector, updating their quality management system (QMS) process to ISO 9001: 2015 and agreeing to participate in this study.

This article aims to investigate the strategies of industrial companies adopted for ISO-9001:2015 certification in light of the six major advances concerning the previous version. Thus, QMS of other organizations can incorporate identified lessons learned, whether certified or not.

The main finding of the research is the systematization of a set of lessons learned in the experiences of implementing the six significant advances of ISO 9001 concerning the previous version by industrial companies in the State of São Paulo in Brazil. These lessons can and should be used by other organizations to improve their QMSs.

The practices identified in this empirical research can serve as benchmarking to assist quality managers from other companies in QMS certification based on ISO 9001: 2015 or even those not certified but interested in updating their QMSs. Therefore, lessons learned can significantly minimize efforts to improve your projects, processes, products and services. These findings can also help industrial companies improve their production efficiency and effectiveness through quality improvement.

The main novelty of the research is the consolidation of theoretical and practical analysis of the main changes in the latest version of the ISO 9001 standards. The efforts to fulfill those changes result in lessons learned. The “lessons learned” will form a new block of knowledge that will subsidize theoretical (new research) and practical (formulation of a new ISO 9001 standard and helps quality managers improve their systems).

The coronavirus (COVID-19) pandemic has led to a surge in demand for health-care facilities, medicines, vaccines and other health-care items. The purpose of this study is to investigate different facets of integrated Green Lean Six Sigma and Industry 4.0 approach in the context of COVID-19 for better healthcare management. Integrating Green Lean Six Sigma (GLSS) and Industry 4.0 (I4.0) has the potential to meet the modern demand of health-care units and also leads to improving the quality of inpatient care with better safety, hygiene and real-time diagnoses. A systematic review has been conducted to determine the tools/techniques, challenges, application areas and potential benefits for the adoption of an integrated GLSS-I4.0 approach within health-care facilities from the perspective of COVID management. Further, a conceptual framework of integrated GLSS-I4.0 has been proposed for better COVID management.

To conduct the literature review, the authors used the preferred reporting items for systematic reviews and meta-analysis and covers relevant papers from the arrival of COVID-19. Based on the systematic understanding of the different facets of the integrated GLSS-I4.0 approach and through insights of experts (academicians and health-care personnel), a conceptual framework is proposed to combat COVID-19 for better detection, prevention and cure.

The systematic review presented here provides different avenues to comprehend the different facets of the integrated GLSS-I4.0 approach in different areas of COVID health-care management. In this study, the proposed framework reveals that the Internet of Things, big data and artificial intelligence are the major constituents of I4.0 technologies that lead to better COVID management. Moreover, integration of I4.0 with GLSS aids during different stages of the COVID management, right from diagnosis, manufacture of items and inpatient and outpatient care of the affected person.

This study provides a significant knowledge database to the practitioners by understanding different tools and techniques of an integrated approach for better COVID management. Moreover, the proposed framework aids to grab day-to-day information from the affected people and ensures reduced hospital stay with better space utilization and the creation of a healthy environment around the patient. This inclusive implementation of the proposed framework will enhance knowledge base in medical areas and provides different novel prospects to combat other medical urgencies.

To the best of the authors’ knowledge, this study is the first of its kind to review different facets of the integrated GLSS-I4.0 approach with a view of the COVID health-care perspective and provides a conceptual framework.

China’s national carbon market will be officially launched in 2020, when it will become the world’s largest carbon market. However, China’s carbon market is faced with various major challenges. One of the most important challenges is its impact on the social and economic development of arid and semi-arid regions. By simulating the carbon price trends under different economic development and energy consumption levels, this study aims to help the government can plan ahead to formulate various countermeasures to promote the integration of arid and semi-arid regions into the national carbon market.

To achieve this goal, this paper builds a back propagation neural network model, takes the third phase of the European Union Emissions Trading System (EU ETS) as the research object and uses the mean impact value method to screen out the important driving variables of European Union Allowance (EUA) price, including economic development (Stoxx600, Stoxx50, FTSE, CAC40 and DAX), black energy (coal and Brent), clean energy (gas, PV Crystalox Solar and Nordex) and carbon price alternatives Certification Emission Reduction (CER). Finally, this paper sets up six scenarios by combining the above variables to simulate the impact of different economic development and energy consumption levels on carbon price trends.

Under the control of the unchanged CER price level, economic development, black energy and clean energy development will all have a certain impact on the EUA price trends. When economic development, black energy consumption and clean energy development are on the rise, the EUA price level will increase. When the three types of variables show a downward trend, except for the sluggish development of clean energy, which will cause the EUA price to rise sharply, the EUA price trend will also decline accordingly in the remaining scenarios.

On the one hand, this paper incorporates driving factors of carbon price into the construction of carbon price prediction system, which not only has higher prediction accuracy but also can simulate the long-term price trend. On the other hand, this paper uses scenario simulation to show the size, direction and duration of the impact of economic development, black energy consumption and clean energy development on carbon prices in a more intuitive way.

With technology advances, metallic implants claim to improve the quality and durability of human life. In the recent decade, Ti-6Al-4V biomaterial has been additively manufactured via selective laser melting (SLM) for orthopedic applications. This paper aims to provide state-of-the-art on mechanobiology of these fabricated components.

A literature review has been done to explore the potential of SLM fabricated Ti-6Al-4V porous lattice structures (LS) as bone substitutes. The emphasize was on the effect of process parameters and porosity on mechanical and biological properties. The papers published since 2007 were considered here. The keywords used to search were porous Ti-6Al-4V, additive manufacturing, metal three-dimensional printing, osseointegration, porous LS, SLM, in vitro and in vivo.

The properties of SLM porous biomaterials were compared with different human bones, and bulk SLM fabricated Ti-6Al-4V structures. The comparison was also made between LS with different unit cells to find out whether there is any particular design that can mimic the human bone functionality and enhance osseointegration.

The implant porosity plays a crucial role in mechanical and biological characteristics that relies on the optimum controlled process variables and design attributes. It was also indicated that although the mechanical strength (compressive and fatigue) of porous LS is not mostly close to natural cortical bone, elastic modulus can be adjusted to match that of cortical or cancellous bone. Porous Ti-6Al-4V provide favorable bone formation. However, the effect of design variables on biological behavior cannot be fully conclusive as few studies have been dedicated to this.

Grounded in dynamic capability view, this research develops a decision support model, which enables determining consistent and sufficient configurations of resilience strategies to mitigate vaccine operations and distributions (O&D) challenges and thus improve O&D performance (i.e. O&DP).

Through qualitative in-depth interviews, the authors first identified challenges and resilience strategies related to vaccine O&D. Next, using the quality function deployment technique, three quantitative case studies were performed to determine the most important challenges and resilience strategies. Finally, utilising fuzzy set qualitative comparative analysis, the authors determine sufficient conditions of challenges and strategies leading to improve vaccine O&DP.

The findings reveal that strategies alone are not effective instead a combination of strategies and nullification of challenges is needed to enhance vaccine O&DP. Further, the findings revealed that not only the presence of challenges, but also the lack of strategies reduces the vaccine O&DP.

The authors' findings will assist the health service decision-makers for strategizing an effective and efficient vaccination program by selecting the right combination of challenges and resilience strategies.

The authors' study develops a novel decision support model and offers significant learning for the future vaccine O&DP.

The purpose of this research is to examine the nature of consumers' relationships with branded spokescharacters by drawing upon brand personality theory and reader‐response theory, focusing specifically on food trade characters. We aim to show that the persuasive power of these characters resides not only in their appearance, but also in the complex narratives consumers project (sometimes unwittingly) onto the spokescharacter.

The paper reports the results of a survey – blending quantitative and qualitative methodologies – designed to document consumer perceptions, affective responses and spontaneous associations to different characters (i.e. Aunt Jemima, Robin Hood, Betty Crocker, Uncle Ben, Poppin' Fresh the Pillsbury's Doughboy, and M. Felix and Mr Norton, characters created by a Montreal‐based cookie company).

The results revealed that consumers associate spokescharacters with distinct personality profiles. Also, a connection was found between spokescharacters and narrative: a relationship where the characters become part of a larger narrative paradigm and more importantly, a relationship where the consumer is cast in a specific role vis‐à‐vis the spokescharacter.

These results should invite brand managers to stay current with the variety of associations that consumers form and how these associations influence the perception of their brand's personality. The results further underscore the need to understand the role into which consumers are cast vis‐à‐vis a branded character. Future research should examine cross cultural differences in the perception and narratives of branded characters, especially since many multinational companies use branded characters across cultural divides.

The paper shows how consumers play an active role in rendering a spokescharacter likeable, credible, and even memorable and documents the narratives that engage consumers and are both constructed collaboratively with them and propagated by them.