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The establishment of partnerships between companies, government and universities aims to enhance innovation and the technological development of institutions. The biotechnology sector has grown in recent years mainly driven by its cooperative business model. Compared to other countries, this sector is slowly advancing in Brazil, with delays in science, technology and innovation, especially in the private sector. This paper aims to examine, through social network analysis, the collaborative networks between institutions that filed patents in biotechnology – medicinal preparations from plants – whose inventions had Brazil as the priority country.

The study of technological cooperation using patent documents is a reliable approach as they serve as good indicators of the interactions between organizations that focus on innovation and development of new product. Social network analysis of cooperation networks helps to understand the connections between patent assignees, and how they establish relationships.

Results show that public universities are the institutions that most deposit patents, as well as those that co-operate the most, especially Universidade of Campinas. The study also reveals the critical role of Research Support Agencies in stimulating research and technological development, which result in new technologies.

The study applied the social network analysis to provide an overview of the interactions among Brazilian institutions with the purpose of helping in decision-making and inciting public policies to leverage the biotechnology sector.

Purpose: A psychiatric illness called burnout is caused by emotional tiredness, cynicism, and a decreased sense of personal accomplishment. For police officers to handle and adjust to difficult, stressful, and sometimes traumatic events, resilience or recovery during downtime are considered critical capacities. The study aims to investigate the association between resilience or recovery experiences and job burnout among police officers and to ascertain if recovery experiences during off-job time can lessen the harmful impacts of burnout.

Design/methodology: The data were gathered from police officers in the South zone of Kerala state using a structured questionnaire. The police force may have favourable effects on economic development if it embraces resilience-building concepts and develops into a more resilient enterprise. The study used convenience sampling, and the researchers received 300 responses. Karl Pearson correlation and simple regression analysis are used to test hypotheses.

Findings: Findings suggest an association between burnout and resilience or recovery experience measures during off-job time among police officers in Kerala. It is found that recovery experiences can buffer the adverse effects of job stress and burnout.

Practical implications: The results of this study could guide the design of initiatives and programmes that enhance police officers’ performance and satisfaction while also encouraging their general well-being. To further reduce police burnout, implement a programme that aims to improve occupational stress recovery at the organisational level.

Originality/value: It is crucial to evaluate police officers’ burnout and its relationship to resiliency or recovery in their spare time. This study offers unique insights into certain off-the-job behaviours or activities that link to lower levels of burnout; this information could guide programmes or interventions intended to help police personnel.

The purpose of this scoping review is to analyse comparative studies on social-policy measures implemented during the COVID-19 pandemic in Global North welfare states. The authors also consider the potential influence of the regimes on the responses.

The authors conducted a scoping review of six databases including peer-reviewed comparative studies. In an iterative process with exact inclusion criteria, the authors screened 699 titles/abstracts/articles and found 16 comparative research articles to be included in the review and analysis. The review summarises the main themes of the comparative articles and the articles' typical features.

The results show that social-policy measures were directed specifically at working-age people to minimise income loss and to save jobs. The pandemic also increased care-related responsibilities, necessitating the expansion of current policies and the implementation of new instruments. Despite the differences in responses between universalistic and residual welfare states, the influence of welfare regimes on COVID-19 social-policy measures remains unclear. The emergency responses in the different regimes varied widely in terms of coverage.

The results of this review provide a basis on which to conduct future studies, identify new research topics and knowledge gaps and inspire new research questions and hypotheses. Given the accumulation of scientific knowledge in the area of social-policy measures, the need for systematic reviews will grow in the future.

The authors identified three main themes: changes in employment protection, changes in care-related income protection and the potential influence of welfare-state regimes on COVID-19-related measures.

The purpose of this paper is to determine the factors that affect Industry 4.0 applications, the expected impacts of Industry 4.0 applications in companies and to analyze the importance of these factors and the importance of expected impacts correlatively.

This paper provides an empirical analysis of the factors affecting the adoption of Industry 4.0 transformation and its impacts on the companies. The paper is based on 103 valid answers to a questionnaire-survey distributed among companies in Turkey. The Pearson correlation analysis was conducted to determine the correlation between independent variables and dependent variables. Regression analyses were used to test the proposed hypotheses. A multiple regression analysis was used to investigate the causal relationship between independent and dependent variables. Linear regression method and stepwise regression method was employed for regression analyses. The factors that influence Industry 4.0 applications were determined as company size, technological level of products, budget allocation for R&D department, level of lean applications, level of agility/flexibility and level of automation; and the expected impacts of Industry 4.0 applications were determined as traceability of production processes, traceability of supply chain, flexibility of supply chains, communication between the partners of supply chain, productivity, real-time data analysis, integration between companies and integration in the company according to the literature review

The results of this research study revealed that, there is a stronger relationship between level of Industry 4.0 transformation and level of automation than there is between Industry 4.0 transformation and the other independent variables. From the analyses conducted, it can be stated that budget allocation for R&D and level of lean applications and level of automation had greater impacts on Industry 4.0 transformation than company size has. The independent variables included in the regression analysis had a positive effect on Industry 4.0 transformation of companies. However the effects of company size, technological level of products and level of agility/flexibility on Industry 4.0 transformation was weak. When the impacts of Industry 4.0 on companies were analyzed, it can be stated that there is a stronger relationship between Industry 4.0 transformation and real-time data analysis, traceability of production processes, integration in companies and productivity than there is between Industry 4.0 transformation and integration between companies, traceability of supply chains, flexibility of supply chains and communication between the partners of supply chain. It was determined that Industry 4.0 transformation generally impacts internal factors of company, while Industry 4.0 had limited impacts on the supply chains.

Although there are studies that separately investigated the factors affecting Industry 4.0 transformation and the impacts of Industry 4.0 transformation on companies, the present study provides important contributions to the literature in terms of considering the importance levels of the factors affecting Industry 4.0 transformation and the importance level of impacts of Industry 4.0 transformation on companies as a whole and in relation to each other.

This study aims to explore the resource development process implemented by a small consulting firm, active in a traditional industrial context, pursuing the innovation path to develop solutions within the Industry 4.0 (I4.0) domain.

This study undertakes a single qualitative case study of Sinergia, an Italian innovative small consulting firm. The case study is analyzed through critical events and adopting the 4 R model, developed within the industrial marketing and purchasing (IMP) approach.

The analysis highlights a transition from knowledge broker to solution provider, based on a process of networking, with a relevant strategizing effort, and of assembling internal, external and shared resources. Three patterns in the evolution of the company’s innovation path emerge: resource-oriented networking, hybrid resource development and resource assembly.

The empirical study provides novel empirical evidence over localized innovation processes in I4.0 by exploring the innovation path pursued by a small consulting firm in connection with the local business. The study represents a theoretical development in terms of the 4 R model as it suggests the need to further conceptualize the category of technical resources – including products and facilities – in the increasingly complex I4.0 domain and provides insights on the changing role of actors in networks underpinned by emerging resource structures.

This paper aims to present a grounded and strategic discussion regarding Supply Chain 4.0 as a management system orientation for the post-COVID-19 period as well as propose some research directions thereof.

For the development of this paper, some theoretical insights were provided based on the literature related to Supply Chain and Industry 4.0. A discussion regarding the constructs of Supply Chain 4.0 on the context of the post-COVID-19 outbreak is developed as well.

The discussion, herein, shows that the disruptive technologies might play a crucial role to become supply chains more responsive and resilient to sudden events such as COVID-19. Then a Supply Chain 4.0 is a transformational strategic orientation to be considered on the aspect of supply chain management for the post-pandemic period. Some research questions are proposed at the end of this paper with the aim to further address this subject.

This paper provides timely insights for researchers and practitioners which might imply on the further research deployments and practical applications although it demands future empirical studies to validate the propositions herein presented.

Practitioners can be benefited from this paper on having new insights and a strategic direction on regards supply chain management for the post-pandemic period with focus on a technology-driven strategy for supply chains.

This paper is unique because it brings an unexplored relationship between Supply Chain 4.0 and COVID-19 pandemic. It also significantly contributes to new directions and views for the supply chain management field from these challenging and difficult times of coronavirus global outbreak.

The main purpose of this exploratory study is to investigate the attitude of pharmacists, as small- and medium-sized enterprise (SME) owners, toward new technologies, and more precisely, toward the adoption of mobile apps for mobile health (mHealth). Such apps are generally used to improve customer satisfaction and loyalty. This study measures pharmacists’ subjective experiences of mobile apps for mHealth and aims to understand how these pharmacists make sense of these apps.

The study adopted the narrative inquiry technique combined with critical event analysis. Participants' experiences were categorized based on how they viewed new technology tools. Interpretative inductive analysis identified precise aspects of the sense making illustrative of non-adoption or confused adoption of new technologies by pharmacists.

This study investigates to what extent new technology tools such as mobile apps affect retailers and more precisely the reasons why mobile apps are and are not adopted by retailers, as potential users, in the pharmaceutical industry. We identified four aspects of sense making that illustrated non-adoption or confused adoption of new technologies by pharmacists. These aspects are deeply discussed in the paper and are referred to the dimensions of confusion to confidence; suspicion to trust; frustration to education; mistrust to cooperation.

The main limitation of the present study is the limited number of territories investigated. This limitation arose because of the exploratory nature of the available research, which is generally based on case studies, and the lack of clear operationalization of the research available at the time of data collection. Another limitation is that the sample included only SMEs operating in the Italian pharmacy industry.

Many studies have highlighted the opportunities related to new mobile apps in the business-to-business market. Several have investigated customer interest in such new technology. If some contributions have indirectly investigated the acceptance of information technology tools, to the best of our knowledge, no study has been conducted to investigate directly and precisely the level of pharmacists' acceptance, use, and willingness to adopt information technology (e.g., mobile apps) for customer service in mHealth and mainly the reasons of non-adoption.

This study aims to examine factors that determine the adoption of additive manufacturing by small- and medium-sized industries. It provides insights with regard to benefits, challenges and business factors that influence small- and medium-sized industries when adopting this technology. The study also aims to expand the domain of additive manufacturing by including a broader range of challenges and benefits of additive manufacturing in literature.

Using data collected from 175 small- and medium-sized industries, the study has examined through Mann–Whitney test to understand the difference between owners and design engineers on additive manufacturing technology adoption in small- and medium-sized companies.

This study suggests contribution to academic discussion by providing associated factors that have significant impact on the adoption of additive manufacturing technology. Related advantages of additive manufacturing are reduction in inventory cost, lowering the wastage in production and customization of products. The study also indicates that factors such as cost of machinery, higher level of cost in integrating metal components have a negative impact on the adoption of this technology in small- and medium-sized industries.

Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further in the field of challenges and growth in other areas of application of additive manufacturing, for instance, medical sciences, fabric and aerospace.

The study provides important implications that are of interest for both research and practitioners, related to technology management in small- and medium-sized industries, e.g. foundry and machining industries.

This work/study fulfills an identified need of the small- and medium-sized companies in adopting new technologies and contribute to their growth by understanding the need to accept and implement technology.

This paper fulfills an identified need to study how small- and medium-scale companies accept new technologies and factors associated with implementation in the manufacturing process of the organization.