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Based on the survey data of 650 kiwi growers from Shaanxi and Sichuan provinces, this paper used multiple endogenous transformation regression models to explore the effect of the joint adoption of green production technology on farmer’s welfare. The purpose of the study is to analyze the influence of green production technology on the yield, household income and socioeconomic characteristics of Kiwi fruit growers.

In the context of the study, multiple endogenous transformation model (MESR) are adopted, but self-actualization tactics were adopted to deal with the instrumental variables. The empirical data has been collected via a combined hierarchical sampling and random sampling, whereas a well-structured Likert scale questionnaire was adopted as well. The empirical data has been processed with the help of STATA 15.1 version.

The study found a positive impact of adopting green production technology. Moreover, the joint adoption of green production technology by kiwi growers has significantly increased the yield, economic values of Kiwi and household income of kiwi farmers. The households with higher asset value, better land quality, weaker credit constraints, more technical training and stronger government promotion and support from local governments are the most likely to adopt pest control technology and soil management technology jointly.

The prime innovation of the paper is to measure the impact of technology combination adoption on farmer’s welfare is evaluated, rather than the impact of single sub technology on farmer’s’ welfare.

The increasing size of the elderly population is emerging as a primary catalyst for the escalation of healthcare expenditure, and a sense of urgency is manifest. However, the complexity of the health- and elderly care systems provides challenges in improving system efficiency. Hence, the system-level understanding of the main obstacles to integration care needs further exploration. In order to better integrate health- and elderly care, the study needs to identify the actual misalignments underpinning the issue. This study provides the theoretical foundations for resource misalignments and provides empirical examples of these.

Semi-structured interviews with multiple stakeholders on various hierarchical levels were carried out to create a more complete view of the system and resources deployed in health- and elderly care. The application of user-centered design methods and co-creation with employees have also been crucial to the outcomes of the study.

Results show that health- and elderly care is a large-scale complex system. The overlapping and mutually reinforcing misalignments are: (1) regulation and policy differences, (2) stakeholder quantity and variation, (3) external control of health- and elderly care, (3) decreasing collaboration and (4) communication channels and IT development.

This qualitative study builds on institutional theory and resource integration theory and contributes with empirical descriptions of misalignments in the health- and elderly care system. These descriptions will serve as points of departure for systems design to improve the efficiency and effectiveness of health- and elderly care.

As focal firms in supply networks reflect on their experiences of the pandemic and begin to rethink their operations and supply chains, there is a significant opportunity to leverage digital technological advances to enhance socially responsible operations performance (SROP). This paper develops a novel framework for exploring the adoption of Industry 4.0 technologies for improving SROP. It highlights current best-practice examples and presents future research pathways.

This viewpoint paper argues how Industry 4.0 technology adoption can enable effective SROP in the post-COVID-19 era. Academic articles, relevant grey literature, and insights from industry experts are used to support the development of the framework.

Seven technologies are identified that bring transformational capabilities to SROP, i.e. big data analytics, digital twins, augmented reality, blockchain, 3D printing, artificial intelligence, and the Internet of Things. It is demonstrated how these technologies can help to improve three sub-themes of organisational social performance (employment practices, health and safety, and business practices) and three sub-themes of community social performance (quality of life and social welfare, social governance, and economic welfare and growth).

A research agenda is outlined at the intersection of Industry 4.0 and SROP through the six sub-themes of organisational and community social performance. Further, these are connected through three overarching research agendas: “Trust through Technology”, “Responsible Relationships” and “Freedom through Flexibility”.

Organisational agendas for Industry 4.0 and social responsibility can be complementary. The framework provides insights into how Industry 4.0 technologies can help firms achieve long-term post-COVID-19 recovery, with an emphasis on SROP. This can offer firms competitive advantage in the “new normal” by helping them build back better.

People and communities should be at the heart of decisions about rethinking operations and supply chains. This paper expresses a view on what it entails for organisations to be responsible for the supply chain-wide social wellbeing of employees and the wider community they operate in, and how they can use technology to embed social responsibility in their operations and supply chains.

Contributes to the limited understanding of how Industry 4.0 technologies can lead to socially responsible transformations. A novel framework integrating SROP and Industry 4.0 is presented.

This paper aims to explore whether the key drivers identified in digitalization policies are being prioritized by practitioners in health and social care and to what degree the goals of the policies are being enacted.

The investigation comprised two stages. First, the key drivers of digitalization in the national policies were identified. Second, a survey was disseminated to practitioners within health and social care, asking them to indicate their stance on each key driver (using Likert scales).

The findings of this paper are twofold. First, they demonstrate that practitioners more readily enact the key drivers centered around their everyday operations, such as improving services and care and increasing efficiency. Second, it shows that key drivers of a more rhetorical nature, such as “becoming the best,” do not yield benefits for practitioners.

This paper shows that for policies to have an effect in practice and to contribute to change, they should be rooted in key drivers centered around practitioners’ everyday operations, promoting specificity over abstraction.

While previous studies have involved policy analysis, few studies investigate the enactment of policies, how they are implemented and whether they contribute to changes in practice.

Technology access, digital skills, and digital services are increasingly prerequisites for public life and accessing public services. The digital divide in contemporary societies matters for efforts to digitalize the welfare state. Research has already mapped individual determinants of digital exclusion and the existence of an age-related digital divide. However, far less attention has been paid to variations in digital inclusion between countries and to their potential explanations related to political systems. This study explores the influence of variations in welfare regimes on the digital divide among seniors (aged 65+) in Europe.

This article presents time-series cross-sectional analyses of the relationship between welfare state regimes and digital inclusion among seniors in European countries. The analyses are based on data from Eurostat, the World Bank, and the UN E-Government Survey.

The authors find extensive variation in the digital inclusion of citizens between welfare regimes and argue that considering regime differences improves the understanding of these variations. The findings indicate that the age-related digital divide seems to be least evident in countries with more universalistic welfare regimes and most evident in countries where seniors rely more on their families.

This is the first comparative study of the association between welfare state regimes and digital inclusion among seniors.

In Ghana, legal and illegal artisanal small-scale mining (ASM) activities have attracted the attention of the general populace and academia with varied opinions. This study examined how adopting the coping strategies for ASM operations affected the welfare of farm households.

Primary data were solicited from respondents using a semi-structured questionnaire. This paper used the endogenous treatment effect model to quantitatively estimate whether or not farmers who adopt coping strategies for activities of ASM have improved or deteriorated welfare.

The results revealed that households adopted coping strategies such as diversification, social networking, land reclamation, borrowing, dependence on the market for food and resettlement in other communities. The endogenous treatment effect model results show that households that adopted land reclamation and social networking had improved welfare regarding consumption expenditure and food security compared to non-adopters. Conversely, diversification was associated with lower consumption expenditures and high food insecurity among adopters.

This paper recommends that farm households in mining communities form cooperatives and farmer-based organizations to ensure improved access to joint resources for enhanced capacity to cope with ASM-induced shocks. There is a need for government and civil society organizations to encourage and support land reclamation measures.

This paper covers a broader perspective and deploys more than one welfare proxy, which has not been considered before in previous studies.

This paper delves into cross-border E-business, unraveling its intricate dynamics and forecasting its future trajectory.

This paper projects the prospective market size of cross-border E-business in China for the year 2023 using the GM (1,1) gray forecasting model. Furthermore, to enhance the analysis, the paper attempts to simulate and forecast the size of China’s cross-border E-business sector using the GM (1,3) gray model. This extended model considers not only the historical trends of cross-border E-business but also the growth patterns of GDP and the digital economy.

The forecast indicates a market size of 18,760 to 18,934 billion RMB in 2023, aligning with the consistent growth observed in previous years. This suggests a sustained positive trajectory for cross-border E-business.

Cross-border e-commerce critically shapes China’s global integration and traditional industry development. The research in this paper provides insights beyond statistical trends, contributing to a nuanced understanding of the pivotal role played by cross-border e-commerce in shaping China’s economic future.

The purpose of this study is to describe primary health-care managers’ perceptions of management competencies at different management levels in digital health services using the management competency assessment program as a framework.

A secondary analysis study involving 21 semi-structured individual interviews was conducted among Finnish primary health-care managers at different management levels (frontline, middle and senior). The deductive framework method was used to analyze the data.

Similarities and differences were found in management competencies between different levels of management. Competencies related to the use of digitalization were highlighted by managers at all management levels. Managers at all management levels were involved in developing digital solutions and supporting employees in using digital solutions in their work. Frontline and middle managers emphasized more issues related to day-to-day management and communication with employees, whereas senior managers highlighted the management of large entities.

In the secondary analysis, data were used for purposes other than originally intended. Therefore, the data are subject to limitations of the methodology applied and should be transferred to other contexts with caution.

Identifying the management competencies needed to manage digital health services is important to target managers’ training according to needs in the future.

The results could be used to develop the management of digital health services, as well as improve digital health services and their deployment.

Previous literature mostly examined managers’ informatics competencies and paid little attention to other management competencies. This study discusses more broadly the management competencies that digital health services require from managers at different levels of management.