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By using ethnographic data and family interviews from eight families in Taipei, Taiwan, this paper aims to delineate how multigenerational families implement parents’ child-rearing values, and how these strategies vary by social class. The primary focus is the child’s mother and her relationship with other family members. I ask the following question: How does a mother in a three-generation family implement her ideal parenting values for her child while being encumbered by the constraints of her parents-in-law? Additionally, how does this intergenerational dynamic vary with family socioeconomic status? To conceptualize this process in such a complex context, I argue that we must understand parenting behaviors as acts of “doing family” and “intensive mothering.”

From 2008 to 2009, I conducted a pilot survey in two public elementary schools to recruit the parents of sixth-grade students. All eight cases of multigenerational families in this paper were selected randomly after being clustered by the parent’s highest education level and family income levels. This paper utilized the mothers’ interviews as the major source to analyze, while the interviews of other family members served as supplementary data.

Two cases, Mrs Lee and Mrs Su’s stories, were selected here to illustrate two distinctive approaches toward childrearing in multi-generational families. Results indicate that white-collar mothers in Taiwan hold the value of concerted cultivation and usually picture the concept of intensive mothering as their ideal image of parenthood. Yet, such an ideal and more westernized child-rearing philosophy often leads to tensions at home, particularly between the mother and the mother-in-law. Meanwhile, blue-collar mothers tend to collaborate with grandparents in sharing childcare responsibilities, and oftentimes experience friction over child discipline in terms of doing homework and material consumption.

Via this analysis of three-generation families in Taiwan, we are able to witness the struggle of contemporary motherhood in East Asia. This paper foregrounds the negotiations that these mothers undertake in defining ideal parenting and the ideal family. On the one hand, these mothers must encounter the new parenting culture, given that the cultural ideal of concerted cultivation has become a popular ideology. On the other hand, by playing the role of daughter-in-law, they must negotiate within the conventional, patriarchal family norms.

This study aims to identify how perceived destination social responsibility (DSR) drives destination brand loyalty through a jointly and independently mediated mechanism of cognitive and affective components (e.g. tourist-destination identification, cognitive image, affective image and tourist satisfaction) and to examine the moderating role of individual-level collectivist values in linking perceived DSR and tourist behaviors.

An online survey is conducted to collect the data of 351 domestic tourists visiting an urban tourism destination (e.g. Danang City) in Vietnam. A serial multiple mediation model and moderation model were examined by applying covariance-based structural equation modeling.

This research’s results highlight the leading factors of perceived DSR in the process of forming destination brand loyalty and confirm the vital role of the intermediary mechanism of tourists' cognition and affect during this process. The chain of causal relationships DSR → TDI → CI → AI → TS → DBL confirms the role of perceived DSR as an essential prerequisite factor of DBL, creating a close connection to tourists' cognition and affect and contributing to improving destination brand loyalty. Individual-level collectivist values were found to positively moderate the links between perceived DSR and tourist-destination identification, affective image and destination brand loyalty.

Future research would provide insights into the links between perceived DSR and tourist behaviors by considering moderating variables (e.g. cultural distance and tourist types) and uncovering specific insights into each destination stakeholder's DSR activities.

A new integrated model of destination brand loyalty development is proposed to explore a new path for destination brand loyalty formation through cognitive, affective and cognitive-affective pathways. This moderating stream of examining individual-level collectivist values can make a significant contribution to the extant tourism literature by promoting a more positive tourist perception of DSR, thereby increasing tourists' knowledge, beliefs and emotions and enhancing destination brand loyalty.

As responsibilities of high school principals continue to expand, their workweeks become longer, and their attention is stretched in multiple directions. How principals from various school types use their time is influenced by their organizational structures and external policies. To gain deeper insights into the workload, priorities and constraints faced by high school principals, this study examines principal time use (PTU) patterns across different school types, including traditional public schools (TPSs), charter schools, Catholic schools and non-Catholic private schools.

Drawing on the national representative data from the High School Longitudinal Study of 2009 in the USA, this study examines and compares PTU in various leadership tasks across different school types, controlling for school and principal characteristics.

Among various high school types, principals in TPS had the longest workweeks. However, the extended workweek did not necessarily result in significantly more hours or a larger proportion of their time dedicated to instructional leadership. Instead, TPS principals allocated more time to administrative tasks and student affairs than principals in other school types.

By examining PTU of different school types, this study adds new evidence on the influence of contextual factors on leadership behavior. It also offers policy implications to enhance principals’ capacities, alleviate their workload and to prioritize time use in different leadership domains.

Collaboration with universities is an important innovation strategy for enterprises. However, currently very little research has focused on how such university-industry collaborative innovation activities should be managed. The paper aims to discuss this issue.

This paper introduces the university-industry collaborative innovation practices of Zhejiang NHU Company in China. By using a case study as the method, this paper aims to illustrate the mechanism of university-industry collaborative innovation and how to manage the collaborative innovation activities efficiently.

Zhejiang NHU Company established a university-industry collaborative innovation link through three innovation platforms: the technology R&D center, the ZJU-NHU joint-research center, and the national engineer center. Zhejiang NHU Company manages its collaborative relationships with universities through this innovation network.

NHU Company managed the collaborative relationship efficiently with the institutions, representing an effective degree of university-industry collaborative innovation management.

Innovation ecosystem is an emerging and popular concept in both academic and industrial circles. It offers a new perspective for enterprise strategy positioning. A business can create more value through a healthy innovation ecosystem. The paper aims to discuss these issues.

In this paper, the authors utilize a new triple-layer core-periphery framework to analyze Insigma Group’s multi-platform collaboration innovation ecosystem, in order to explore the architecture and heterogeneous functions inside an innovation ecosystem.

The authors illustrate the components and working mechanisms of the four platforms, which function as ideation, entrepreneurship, financing and investment, and innovation, inside Insigma’s innovation ecosystem in detail, and explain how they interact and collaborate toward a shared aim of the whole innovation ecosystem.

The innovation ecosystem is an emerging concept. In this study, the authors combined two existing analytical frameworks of innovation ecosystem, and proposed a triple-layer core-periphery framework, which enable us to analyze the heterogeneity inside an innovation ecosystem.

The authors discussed the role of government and its policies in shaping the innovation ecosystem at the enterprise level.

The authors believe that this paper provides a holistic study of Insigma’s innovation ecosystem. The triple-layer core-periphery framework can be used to study other enterprise innovation ecosystem in the future.

This paper aims to propose the practice of urban resilience to flooding in a vulnerable Asian city, Taipei. It conducts Geographic Information System (GIS)-based simulations to assess Taipei’s vulnerability under a set of varying flooding scenarios and likelihoods. This research concludes by proposing remedies to fill the gaps these flood simulations reveal and, in doing so, promotes urban resilience in Taipei. This paper provides an example of urban resilience to flooding for other cities in Asia.

The paper undertakes a case study of Taipei to survey current practices and historic analyses as a tool to evaluate a chronology of policies implemented to make Taipei resilient to flooding. It also conducts flood simulation and scenario analysis through the technology of GIS by using ArcMap 10.2.2 software to gauge the vulnerabilities in Taipei. These GIS-based data sets are collected from Taiwan’s central and local governments. This paper analyzes the vulnerability of population, land value, residential properties, GDP and critical facilities, such as major subway stations, medical centers, public schools, major public buildings, electric power substations and gas/oil stations. Additionally, it analyzes the likelihood and cost and benefit of different flooding scenarios based on typhoon and rainfall data sets in 1975-2014 period. After a thorough analysis of vulnerability, likelihood of flooding and cost–benefit analyses, this research develops Taipei resilience policies to address the vulnerabilities.

The findings indicate that Taipei case study, a chronology of policies implemented to prevent flooding, explains that costly engineering structures, rebuilding and fortification against floods eventually created a false sense of security, which has encouraged more intensive residential and commercial developments in flood-prone areas, and led to a higher level of vulnerability. Additionally, flooding simulations indicate that 40 per cent of Taipei City is located in flood risk areas in an extreme weather scenario. This percentage is higher than other global cities such as London’s 15 per cent, Tokyo’s 10 per cent and New York City’s 25 per cent. Based on the 10 per cent of total flooding areas above 0.5 m, the vulnerable population is estimated at 200,000 people, or 7 per cent of the total population. The GDP impact will be more than $28bn. More than $67bn of land value is vulnerable. A least one million subway passengers will be affected each day. Further, there is little evidence that the urban poor are particularly vulnerable to floods. On the contrary, some neighborhoods with high-income households face a higher risk of floods. Very few medical centers, oil and gas stations and electrical power substations are located in flood-prone areas, but a large number of public schools, administrative buildings and major subway stations are susceptible. Additionally, the likelihood analysis of flooding in an extreme rainfall scenario concludes that the possibility will be five times that of the existing assumption with a flood in every 200 years. Thus, Taipei City’s infrequent once-in-two-century floods are likely to occur more frequently.

This paper provides a thorough analysis of vulnerability, likelihood of flooding and cost–benefit analyses in Taipei. It also develops Taipei resilience policies to address the vulnerabilities. In the future, rather than strengthening and rebuilding costly structures, Taipei should focus on land-use and environmental planning for resilience. Urban policies should include environmentally responsible development in the face of continued population and economic growth, and being resilient regarding natural disasters. Most important is the need for a strong political commitment and leadership to initiate and implement urban policies toward resilience.

Boundary-spanning exploration through establishing alliances is an effective strategy to explore technologies beyond local search in innovating firms. The purpose of this paper is to argue that it is useful to make a distinction in boundary-spanning exploration between what a firm learns from its alliance partners (explorative learning from partners (ELP)) and what it learns from other organisations (explorative learning from non-partners (ELN)).

The authors contend that alliances play a role in both types of exploration. More specifically, the authors discern three types of alliances (inside ties, clique-spanning ties and outside ties) based on their role vis-à-vis existing alliance cliques. Clique members are highly embedded, and breaking out of the cliques through clique-spanning and outside alliances is crucial to improving explorative learning. Thereafter, the authors claim that clique-spanning ties and outside ties have a different effect on ELN and ELP.

The empirical analysis of the “application specific integrated circuits” industry indicates that inside ties have negligible effects on both types of explorative learning. Clique-spanning ties have a positive effect on ELP, but not on ELN. The reverse is true for outside ties. The results show that research on explorative learning should devote greater attention to the various roles alliance partners and types of alliances play in advancing technological exploration.

The literature only emphasises the learning from partners, focussing mainly on accessing their technology. In sum, alliance partners play different roles in exploration, and their network position influences the role they are able to play.

As a key basic component used in machining, high-speed steel (HSS) tools often prone to wear and failure during machining. Therefore, the purpose of this study is to adopt a suitable approach to improve the stability of the cutting force, the service life and the wear resistance.

Laser shock processing (LSP) was used to process the tool rake face and the tribological test was performed with ball-on-disk wear tester.

Experimental results show that cutting force of the LSP-treated tool is lower than untreated tool under the same cutting conditions. Wear rate of the tool nose treated by LSP decreases obviously and the tool life increases by 40 per cent.

HSS is often used in the manufacture of complex cutting tools. The main value of this article is to improve the tool surface wear resistance, thereby extending the service life of cutter. This paper is valuable not only in theory but also with reference value in engineering practice.

Although many universities have begun to provide artificial intelligence (AI)-related courses for students, the influence of the course on students' intention to participate in the development of AI-related products/services needs to be verified. In order to explore the factors that influence students' participation in AI services and system development, this study uses self-efficacy, AI literacy, and the theory of planned behaviour (TPB) to investigate students' intention to engage in AI software development.

The questionnaire was distributed online to collect university students' responses in central Taiwan. The research model and eleven hypotheses are tested using 151 responses. The testing process adopted SmartPLS 3.3 and SPSS 26 software.

AI programming self-efficacy, AI literacy, and course satisfaction directly affected the intention to participate in AI software development. Moreover, course playfulness significantly affected course satisfaction and AI literacy. However, course usefulness positively affected course satisfaction but did not significantly affect AI literacy and AI programming self-efficacy.

The model improves our comprehension of the influence of AI literacy and AI programming self-efficacy on the intention. Moreover, the effects of AI course usefulness and playfulness on literacy and self-efficacy were verified. The findings and insights can help design the AI-related course and encourage university students to participate in AI software development. The study concludes with suggestions for course design for AI course instructors or related educators.

The purpose of this study, we present a robot used in education. Influenced by the epoch of revolutionary digital technology, the methodology of education has gone boundless. The robot programming sustainability and ability to solve problems is one an important skill that coding students require to learn programming. This educational have been integrated into curriculum instruction in clubs.

Robotics education has been regarded as a potential approach to enhance students' Science, technology, engineering, and mathematics learning competencies. The popular platform of robots diversifies educational practices by its advantages of reorganizational and logical forms. In this paper, we focus on the effects of applying blended instructional approaches to robot education on students' programming sustainability and ability.

The students of department of mechanical engineering at the University in Taipei city, who participate elective educational robot courses, prove through surveys that the problem-based leaning method with robot programming can effectively enhance students' interests and learning motivations in learning new knowledge and promote students' designing skills for a sustainable society.

In this paper, the authors focus on the effects of applying blended instructional approaches to robot education on students' programming sustainability and ability.