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Although the literature has somewhat discussed social capital and knowledge sharing, the mediating and moderating mechanisms that influence team workers to move from connecting with one another to building social capital and consequently engaging in knowledge sharing still remain largely understudied. For that reason, this study aims to develop a holistic research framework that links social capital to knowledge sharing with positive affective tone as a mediator and hypercompetition as a moderator.

Drawing upon the social capital theory and the affective events theory (AET), this study proposes a research framework to assess how social capital factors influence knowledge sharing with the mediation of positive affective tone and the moderation of hypercompetition in high-tech teams. This study obtains survey data based on 330 questionnaires of working professionals from 66 high-tech teams in Taiwan, in which each team comprises four members and their team leader.

The empirical results of this study show that social interaction, shared vision and trust are positively related to knowledge sharing via the mediation of positive affective tone. Moreover, hypercompetition has positive moderating effects on the relationships between social interaction and positive affective tone as well as between trust and positive affective tone.

This study expands the previous literature to study through what mediating mechanism the effects of different social capital factors on knowledge sharing can be effectively realized and whether there exists any critical moderator that influences these effects.

The purpose of this paper is to provide implementation insights and implications regarding the strategic orientations of servitization by testing its impacts on firm performance, including financial performance and customer service performance.

Empirical research is conducted using an online survey disseminated to manufacturing firms in Southeast China. This research develops and verifies a strategic fit framework to understand the relationship between the strategic orientation of servitization and service innovation (SI), and its resulting impacts on firm performance.

The results show that service orientation (SO) has direct positive impacts on firm performance in the manufacturing sector. Customer orientation (CO) and learning orientation (LO) have no direct impact on firm performance, although they have indirect impacts on it via the mediating role of SI capability. Moreover, SO has a similar indirect impact on firm performance via SI capability.

The survey focuses only on China; future studies should verify whether different cultural backgrounds impact the research results.

The results suggest that firms should build up three strategic orientations (SO, CO and LO) for implementing servitization to facilitate SI capability and, thus, to improve firm performance.

This research contributes to enhancing the theory of servitization by developing a strategic fit model of servitization and revealing the impact mechanism of servitization in the manufacturing sector.

The literature reports inconsistent findings about the effects of social media usage (SMU). Researchers distinguish between active and passive social media usage (ASMU and PSMU), which can generate different effects on users by social support and social comparison mechanisms, respectively. Drawing on social presence theory (SPT), this study integrates an implicit social presence mechanism with the above two mechanisms to explicate the links between SMU and seniors' loneliness.

Data were collected from a field study by interviewing seniors living in eight aging care communities in China. Loneliness, social media activities and experiences with social media in terms of online social support (OSS), upward social comparison (USC) and social presence (SP) were assessed. Factor-based structural equation modeling was used to analyze the data.

OSS can mediate the relationship between ASMU and seniors' loneliness. Moreover, SP mediates between ASMU, PSMU, and seniors' loneliness, and between OSS, USC and seniors' loneliness. OSS mediates the relationship between ASMU and SP, and USC mediates the relationship between PSMU and SP.

This study shows that social media can alleviate seniors' loneliness, which could help relieve the pressures faced by health and social care systems. Social presence features are suggested to help older users interact with social health technologies in socially meaningful ways.

This study not only demonstrates that SP can play a crucial role in the relationship between both ASMU and PSMU and loneliness, but also unravels the links between SP and OSS, as well as USC.

A cross-domain intelligent software-defined network (SDN) routing method based on a proposed multiagent deep reinforcement learning (MDRL) method is developed.

First, the network is divided into multiple subdomains managed by multiple local controllers, and the state information of each subdomain is flexibly obtained by the designed SDN multithreaded network measurement mechanism. Then, a cooperative communication module is designed to realize message transmission and message synchronization between the root and local controllers, and socket technology is used to ensure the reliability and stability of message transmission between multiple controllers to acquire global network state information in real time. Finally, after the optimal intradomain and interdomain routing paths are adaptively generated by the agents in the root and local controllers, a network traffic state prediction mechanism is designed to improve awareness of the cross-domain intelligent routing method and enable the generation of the optimal routing paths in the global network in real time.

Experimental results show that the proposed cross-domain intelligent routing method can significantly improve the network throughput and reduce the network delay and packet loss rate compared to those of the Dijkstra and open shortest path first (OSPF) routing methods.

Message transmission and message synchronization for multicontroller interdomain routing in SDN have long adaptation times and slow convergence speeds, coupled with the shortcomings of traditional interdomain routing methods, such as cumbersome configuration and inflexible acquisition of network state information. These drawbacks make it difficult to obtain global state information about the network, and the optimal routing decision cannot be made in real time, affecting network performance. This paper proposes a cross-domain intelligent SDN routing method based on a proposed MDRL method. First, the network is divided into multiple subdomains managed by multiple local controllers, and the state information of each subdomain is flexibly obtained by the designed SDN multithreaded network measurement mechanism. Then, a cooperative communication module is designed to realize message transmission and message synchronization between root and local controllers, and socket technology is used to ensure the reliability and stability of message transmission between multiple controllers to realize the real-time acquisition of global network state information. Finally, after the optimal intradomain and interdomain routing paths are adaptively generated by the agents in the root and local controllers, a prediction mechanism for the network traffic state is designed to improve awareness of the cross-domain intelligent routing method and enable the generation of the optimal routing paths in the global network in real time. Experimental results show that the proposed cross-domain intelligent routing method can significantly improve the network throughput and reduce the network delay and packet loss rate compared to those of the Dijkstra and OSPF routing methods.

This study aims to present an optical alignment and compensation control of die bonder for chips containing through-silicon vias and develop three-dimensional integrated circuit stacked packaging for compact size and multifunction.

The machine vision, optical alignment method and sub-pixel technology in dynamic imaging condition are used. Through a comparison of reference image, the chip alignment calibration can improve machine accuracy and stability.

According to the experimental data and preliminary results of the analysis, accuracy can be achieved within the desired range, and the accuracy is much better than traditional die bonder equipment. The results help further research in die bonder for chips containing through-silicon vias.

In subsequent testing of the chip, the machine can simultaneously test multiple chips to save test time and increase productivity.

The use of social networking sites (SNSs) can promote life satisfaction mainly because of their social relationship benefits. Although prior studies examined the roles of different types of social capital (SC), the association between online and offline SC is ignored. This research addresses this gap by uncovering a mechanism of transformation between online and offline SC in terms of bonding and bridging types when linking SNSs usage and life satisfaction.

Categorizing the concept of SC into four sub-types from bonding/bridging and online/offline dimensions, the paper establishes a theoretical framework based on the transformation mechanism among these four kinds of SC. A component-based approach, partial least square method, is chosen for hypothesis testing with a survey-based sample collected from WeChat users.

First, SNSs usage is positively related to life satisfaction and four types of SC (i.e. online/offline and bonding/bridging SC). Second, both online bonding SC and offline bridging SC are positively related to life satisfaction and can mediate the relationship between SNSs usage and life satisfaction. Third, offline bonding SC is positively related to online bonding SC and can mediate the relationship between SNSs usage and online bonding SC; on the contrary, online bridging SC is positively related to offline bridging SC and can mediate the relationship between SNSs usage and offline bridging SC.

In the environment of SNSs, users can take vigorous strategies to better balance online and offline spaces and improve life satisfaction by adapting to the characteristics of SNSs in developing different types of SC. Specifically, it is encouraged for users to transfer online bridging SC into offline space and offline bonding SC into online space.

To the best of the authors’ knowledge, this is the first study exploring the association between online and offline SC when linking SNSs usage and life satisfaction. Instead of the single transformation direction from online to offline in prior Internet research, this research has revealed different transformation directions between online and offline SC in terms of bonding and bridging types in the context of SNSs.

This study aims to explore the determinants of the green purchase behaviour (GPB) of environment-friendly and energy-efficient electronic products market. It specifically examines the moderating effect of consumers’ moral identity on the relationships between the consumption values and GPB of environment-friendly and energy-efficient electronic products market. It also examines the direct relationship between consumption values and GPB.

In this study, the theory of consumption values is combined with the moral identity of consumers. A structured questionnaire mall-intercept survey was used to collect data from 396 respondents, which was subsequently processed using the smart PLS software for partial least square structural equation modelling analysis.

Findings reveal that functional value, social value, conditional value and epistemic value are the significant predictors of GPB of the environment-friendly and energy-efficient electronic products market. The moral identity of consumers also appears to positively moderate the relationships between functional, emotional and conditional values and the GPB.

The energy efficiency of electronic products is included in this study as an additional feature of functional value, while government support and business promotional initiatives are incorporated as the new elements of conditional value. Therefore, the inclusion and evaluation of the moral identity of consumers, alongside new elements of functional and conditional values in the theory of consumption values, could be considered a significant theoretical addition. The study uncovered certain customer insights that could help accelerate the adoption of green electronic products, which may result in better energy savings, reduced carbon emissions and environmental safety.

Social networking services (SNSs) have been praised for their social capital (SC) benefits. However, the time displacement hypothesis in Internet research may challenge such an optimistic view. In response to this challenge, this study aimed to develop a theoretical model that uncovers the transformation, rather than displacement among online and offline SC in terms of bonding and bridging types during SNSs use.

The concept of SC was divided into the following four types: offline bonding, online bonding, offline bridging and online bridging. A theoretical model grounded in individual ambidexterity theory was developed that uncovered the transformation among these types of SC, and it was tested a sample of WeChat users in China. Furthermore, the theoretical model included the concept of cognitive ambidexterity, which promotes transformation.

As an exploitation process, offline bonding SC mediated the relationship between SNSs use and online bonding SC. As an exploration process, online bridging SC mediated the association between SNSs use and offline bridging SC. In addition, cognitive ambidexterity moderated the exploration and exploitation processes positively.

This study demonstrated that SNSs users strategically and successfully manage SC benefits through exploitation and exploration processes, and ambidextrous individuals can do this more effectively. Accordingly, this study proposed the transformation hypothesis in the SNSs context.

Mobile devices, through their capacity to enable anytime-anywhere learning as well as capture, annotate and share multimedia, offer entirely new ways for students to learn. This chapter provides review of mobile learning with a particular focus on learning design. First various definitions and characteristics of mobile learning are examined in order to establish a common understanding of its boundaries and meaning. Example uses of mobile learning in schools and higher education are described as a way to provide a more concrete understanding of design possibilities. Benefits of mobile learning are unpacked, as distilled from the literature, including the ability to provide flexible, accessible, authentic, personalized, ubiquitous and seamless learning. Mobile learning issues are also examined, including technical problems, cognitive load issues, distraction, equity and safety. A primary school science and a university pre-service teacher education vignette are described so as to offer a more in-depth illustration of what mobile learning can look like and achieve in practice. Finally, mobile learning research findings and observations are synthesized into recommendations, to inform and guide evidence-based mobile learning design practices. Opportunities for future research and investigation are also discussed.

This study aims to use sensing technology to observe the learning status of learners in a teaching and learning environment. In a general instruction environment, teachers often encounter some teaching problems. These are frequently related to the fact that the teacher cannot clearly know the learning status of students, such as their degree of learning concentration and capacity to absorb knowledge. In order to deal with this situation, this study uses a learning concentration detection system (LCDS), combining sensor technology and an artificial intelligence method, to better understand the learning concentration of students in a learning environment.

The proposed system uses sensing technology to collect information about the learning behavior of the students, analyzes their concentration levels, and applies an artificial intelligence method to combine this information for use by the teacher. This system includes a pressure detection sensor and facial detection sensor to detect facial expressions, eye activities and body movements. The system utilizes an artificial bee colony (ABC) algorithm to optimize the system performance to help teachers immediately understand the degree of concentration and learning status of their students. Based on this, instructors can give appropriate guidance to several unfocused students at the same time.

The fitness value and computation time were used to evaluate the LCDS. Comparing the results of the proposed ABC algorithm with those from the random search method, the algorithm was found to obtain better solutions. The experimental results demonstrate that the ABC algorithm can quickly obtain near optimal solutions within a reasonable time.

A learning concentration detection method of integrating context-aware technologies and an ABC algorithm is presented in this paper. Using this learning concentration detection method, teachers can keep abreast of their students' learning status in a teaching environment and thus provide more appropriate instruction.