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This paper aims to investigate the innovation pathway of gerontechnological enterprises under the market-organization-technology (MOT) perspective through configuration analysis.

Based on the analytical framework of technology, organization and market, this paper conducts configuration analysis on the cases of 55 elderly-friendly enterprises in China combined with fuzzy-set qualitative comparative analysis (fsQCA).

First, this study identifies the three first-level preconditions affecting innovation performance: organization's architectural innovation, technology adapting to aging and market environment attention on the innovation pathway of gerontechnological enterprises. These three first-level conditions include six sub-conditions. Second, this study investigates three innovation pathways by analyzing the configuration effects of preconditions: Configuration 1, technology-balanced type; Configuration 2, organization-market linkage type and Configuration, 3 balanced type. Third, there are differences in the distribution of different configuration types in subdivided industries. The technology-balanced configuration is mainly concentrated in design-driven innovative enterprises, the organization-market linkage configuration is mainly concentrated in medical auxiliary equipment enterprises and the balanced configuration is mainly concentrated in smart elderly care service platform enterprises empowered by digital technology. Fourth, there are differences in the innovation impact paths of the same configuration type. However, the essence lies in the high-level innovation performance formed by the coordinated evolution of technology, organization and market factors, reflecting the characteristics of the same goal through different routes.

The authors' study generates new insights for innovation managers of gerontechnological enterprises about the innovation pathway.

This research enriches innovation management by integrating the linkage adaptation relationship among market, organization and technology factors; further research studies on the different configuration types suitable for different types of enterprises, as well as differentiated innovation pathways under the same configuration type, could contribute to the study on the innovation pathway under a premise of MOT.

This article focuses on the continuity and changes in the Productive Welfare Regimes and investigates how the COVID-19 pandemic and population ageing can influence the established systems in Hong Kong, South Korea, Singapore and Taiwan.

Our research is based on document review, investigating intricate situations with numerous aspects and providing an excellent opportunity for innovation and examining theoretical presumptions in welfare regime theory, as well as exploring the complicated policy trajectories that varies among cases.

Our findings reveal that social policy responses to COVID-19 have been characterized by adopting the market-conforming role of social policy for the elderly. This is shown by many policy measures focusing on self-sufficiency and an active labour market, signalling that the COVID-19 pandemic and population ageing pressure here are viewed as an economic issue over social rights. The economic-first was adopted to maintain their proximity to the global economy as key sources of their social policy development. We can conclude by emphasizing that the responses to COVID-19 have exposed deficiencies in certain existing social policies. Yet, they have not been sufficient to catalyse substantial policy changes across domains where such change had not already been initiated, thus allowing welfare regimes to remain within productivist boundaries.

This study responds to the current debate on the welfare regime continuity and adaptation in East Asia and suggests a new perspective of policy process in the times of insecurity.

This study responds to the need in social entrepreneurship research for more empirical studies to clarify the meaning of social value. Specially, it aims to explore the meaning of social value communicated on social media (SoMe) within the local context of a social enterprise (SE).

A multimodal social semiotic approach was applied to several hundred Facebook posts of a Finnish SE providing elderly care solutions, complemented by secondary data from high-quality press sources.

Building on Young’s (2006) dimensions of social value and Hidalgo et al.’s (2021) theorisation of social capital in social entrepreneurship, the authors find that an SE draws on multiple levels of social capital on SoMe to express the meaning of the social value it creates.

Although limited to one case, this study provides a deep contextual understanding of how SEs can give meaning to social value and leverage social capital on SoMe to do so.

The authors offer a contextually embedded framework for SEs to communicate social value through media. This approach enables SEs to engage stakeholders more effectively and improve the quality of support for local initiatives.

Improvements in SEs’ ability to communicate social value will increase their legitimacy, thus enhancing their prospects to survive and create sustained social value.

The authors strengthen the theoretical underpinnings of social value by being among the first to empirically describe its connection to social capital in an SE, thereby deepening previous studies on subjective social value. Methodologically, this study is the first, to the best of the authors’ knowledge, to apply social semiotics to research on SEs.

Resource mobilization has come to dominate contemporary discourse on the making and survival of social enterprises (SEs). Emphasizing the socially constructed nature of idiosyncratic firm resource environments, this study integrates bricolage and social exchange theory to explore the means at hand and the kinds of practices SEs in China employ to mobilize resources to address persistent social problems.

Adopting a qualitative multiple case design, the research contribution is developed in the context of four SEs based in two cities in China selected through a two-stage process. The main data for the inquiry come from 21 face-to-face, semi-structured interviews conducted with key informants in 2018 and 2019. The authors supplemented this with secondary data about each SE curated from social media platforms and publicly available documentary sources, including press statements, reports and popular press video interviews.

The research findings suggest that SEs in China tend to follow a two-step resource mobilization process: fraternize and exchange. Leveraging the means at hand – “social practice know-how” and the practice of “proactiveness,” SEs strategically engage with actors in their environment (fraternize) to understand and explore the possible sources of the resources they require. Nevertheless, fraternization alone is not sufficient; SEs must demonstrate exchange values (social, economic, functional and regulatory) to convince resource owners to either directly release resources (funds, the right of use of empty spaces, technologies, time and efforts) or offer them indirect support (certification, government procurement). The process of fraternizing within the contingencies of organizing, intertwined with social exchange practices, constitutes the success of resource mobilization. The combination and reconfiguration of the expanded repertoire of mobilized resources provide opportunities for the SEs to make do and, in return, help them maintain their status as valued SEs in China.

This study extends the understanding of bricolage through a social exchange lens to unpack the process through which SEs in China mobilize appropriate resources for their businesses. Emphasizing the importance of the social dimension of bricolage in resource mobilization, a two-step model, comprising fraternization exhibited in the form of social practice know-how and proactiveness and social exchange, is presented as an essential mechanism in SEs’ resource mobilization in China.

A wide gap exists between the innovation and development of self-monitoring, analysis and reporting technology (SMART) technologies and the actual adoption by older adults or those caring for them. This paper aims to increase awareness of available technologies and describes their suitability for older adults with different needs. SMART technologies are intelligent devices and systems that enable autonomous monitoring of their status, data analysis or direct feedback provision.

This is a scoping review of SMART technologies used and marketed to older adults or for providing care.

Five categories of SMART technologies were identified: (1) wearable technologies and smart tools of daily living; (2) noninvasive/unobtrusive technology (i.e. passive technologies monitoring the environment, health and behavior); (3) complex SMART systems; (4) interactive technologies; (5) assistive and rehabilitation devices. Technologies were then linked with needs related to everyday practical tasks (mainly applications supporting autonomous, independent living), social and emotional support, health monitoring/managing and compensatory assistance rehabilitation.

When developing, testing or implementing technologies for older adults, researchers should clearly identify concrete needs these technologies help meet to underscore their usefulness.

Older adults and caregivers should weigh the pros and cons of different technologies and consider the key needs of older adults before investing in any tech solution.

SMART technologies meeting older adult needs help support both independent, autonomous life for as long as possible as well as aiding in the transition to assisted or institutionalized care.

This is the first review to explicitly link existing SMART technologies with the concrete needs of older adults, serving as a useful guide for both older adults and caregivers in terms of available technology solutions.

This study aims to analyze the effects of performance expectancy, effort expectancy, social influence and facilitating conditions on the behavioral intention of using mobile health applications, especially during and after the COVID-19 pandemic.

A survey was developed using an online survey platform and distributed to Indonesian consumers for three weeks, and 149 usable responses were obtained. The principal component analysis, linear regression and analysis of variance tests were performed to test the validity and reliability of the measurement model and the hypothesized relationships among constructs.

Surprisingly, unlike previous studies on IT adoption, the findings show that social influence has no significant impact on behavioral intention. Facilitating conditions have a very weak to almost no significant impact on behavioral intention to use mobile health applications.

This research is conducted during pandemic COVID-19 where using mobile health apps is a must. In the future this research can be expanded as comparison study after the pandemic COVID-19 stated.

The result implies that digital technologies adoption intention is strongly affected by performance expectancy and effort expectancy, with performance expectancy as the most significant predictor. Nonetheless, the interaction of performance expectancy, effort expectancy, social influence and facilitating conditions influences behavioral intention significantly. Therefore, social influence and facilitating conditions are still important even with very insignificant effects.

To improve consumers’ behavioral intention to use mobile health applications, application providers should promote mobile health applications as useful telemedicine tools by primarily focusing on the application performance and usage experience.

This study aims to examine the question “How can we understand the dynamics that give rise to multiplicities of overlapping controls (MoOCs)?” and explore the role of local politics in the emergence of such multiplicities.

Building on assemblage theory, we use an in-depth case study of local government in France where a Socialist and Green coalition (the “Coalition”) replaced a long-standing Communist administration. The Coalition introduced a comprehensive set of new management control systems (MCSs), layered onto pre-existing systems.

The proliferation of new MCSs, together with the persistence of legacy MCSs, gave rise to a MoOC. Linkages between controls constituted potential points of rupture around which the assemblage changed and shifted the nexus of control. Whereas densely populated areas of the assemblage provided sites for conflict in the battle to influence the allocation of resources, some MCSs became isolated or were reterritorialized by political groups seeking autonomy from the new management.

We highlight the material consequences of political contentions around MoOCs that obfuscate, and at times frustrate, the implementation of a programme for government.

We contribute a set of concepts pertaining to the dynamics of MoOCs. We offer an alternative perspective on the disappointment associated with the adoption of new management tools in the public sector, showing how MCSs can become battlegrounds for political contention rather than tools for management improvement. We contribute to literature utilizing assemblage theory for analysing management accounting change.

The elevator installation in old communities (EIOC) can effectively improve the public infrastructure of urban communities. However, differences in the decision-making behaviours of stakeholders lead to frequent conflicts, thereby hindering the implementation of EIOC. The purpose of this study is to explore the decision-making behavior of core stakeholders which are the government, community owners and elevator enterprises at different stages in the EIOC using the evolutionary game method.

A tripartite evolutionary game model involving the government, community owners and elevator enterprises was developed, and their evolutionary stabilisation strategies were explored in different stages. The dynamic change of the stakeholders' decision-making behaviours at different stages of the project and the influencing mechanism of the key factors on the decision-making behaviours of the three stakeholders were analysed through numerical simulation.

The results of this study showed that: Divergent interests led the government, community owners and elevator enterprises to adopt distinct decision-making behaviours at different stages, resulting in diverse attitudes and actions among stakeholders. A dynamic reward and penalty mechanism effectively motivated community owners and elevator enterprises to engage actively, fostering broad participation. However, the high regulatory cost diminished the government's regulatory effectiveness. This imbalance between penalties and incentives posed a challenge, impacting the overall effectiveness and efficiency of implementing the EIOC.

Existing research lacks exploration of the decision-making behaviours of stakeholders in community public infrastructure. This study developed a dynamic tripartite evolutionary game model in the EIOC from the gaming perspective. The results of this study provide a reference for dealing with the stakeholders' interests in the community public infrastructure and contribute to the theoretical basis for establishing an effective supervision mechanism.

Distributed photovoltaic (DPV) projects generally have output risks, and the production effort of the supplier is often private information, so the buyer needs to design the optimal procurement contract to maximise its procurement utility.

Based on the principal-agent theory, we design optimal procurement contracts for DPV projects with fixed payments and incentive factors under three situations, i.e. symmetry information, asymmetry information without monitoring and asymmetry information with monitoring. We obtain the optimal production effort and expected utility of the supplier, the expected output and expected utility of the buyer and analyse the value of the information and monitoring.

The results show that under asymmetric information without monitoring, risk-averse suppliers need to take some risk due to output risk, which reduces the optimal production effort of the supplier and the expected output and expected utility of the buyer. Therefore, when the monitoring cost is below a certain threshold value, the buyer can introduce a procurement contract with monitoring to address the asymmetry information. In addition, under asymmetric information without monitoring, the buyer should choose a supplier with a low-risk aversion.

Considering the output risk of DPV projects, we study the optimal procurement contract design for the buyer under asymmetric information. The results provide some theoretical basis and management insights for the buyer to design optimal procurement contracts in different situations.

This qualitative study aims to explore the experiences of Taiwan’s community-based long-term care service stations.

Semi-structured interviews were conducted with eight managers selected from stations located in the counties with the highest proportion of elderly people.

The results are as follows: the main services offered by the stations include health promotion activities, congregate meal programs, respite care and making house calls; government subsidies constitute a major proportion of the service stations’ funds, followed by user payments and external donations; the adversities encountered include frequent policy revisions, the dwellers’ reluctance to participate in the activities, manpower shortages and subpar service quality; and the effects of the stations on the community include achieving aging in place, providing more options for life after retirement, mitigating caregivers’ burden, expanding the elderly’s social networks and strengthening their health literacy.

The results of this research can understand the benefits and difficulties of Tier C service centers in Taiwan. Also, the practical experiences provide some suggestions for policies and training. Future studies can focus on establishing systematized training programs and standardizing the service personnel’s competence.