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This paper aims to discuss a foresight study conducted in Singapore’s national R&D agency to help science and technology decision makers identify key capability areas of R&D investment to support the manufacturing industry’s growth in the country and the region.

Using horizon scanning, scenario analysis and expert opinion, nine capabilities are identified as core areas to be developed to support the country’s future growth of product-service systems.

The results of a Delphi survey involving 30 industry and academic thought leaders recommend priorities of these capabilities. This paper concludes with a discussion of the study implications for theory, research and practice in the domain of servitisation and product-service systems.

The foresight study presented here on the future of servitisation in Singapore demonstrates one of the first fully fledged applications of foresight in constructing a coherent vision of future product-service system markets. In this study, the authors applied systemic foresight methodology (SFM) comprising the first six phases: initiation (scoping), intelligence (scanning), imagination (scenarios), integration (priorities), interpretation (strategies) and implementation (action).For future research, an ideal step would be to proceed with the final phase of the SFM, impact, to develop indicators for servitisation and to monitor and evaluate the transition process.

Manufacturing and services are no longer distinct concepts with a clear divide. Manufacturing firms not only become more service dependent but also produce and provide services for their consumers. This transformation towards servitisation implies fundamental re-organisation of the production and management practices. Furthermore, through new business models, new and loyal customers will be gained, which will in turn bring additional income, while making the companies less prone to economic and business fluctuations.

The results of this study have practical implications for policymakers of public and private sectors that are interested in playing a key role in future product-service system innovation. These have implications for developing the human and intellectual capital that are required for supporting the future innovation. Institutes of higher learning and vocational institutes should also consider incorporating new curricula and modules to build the capabilities for knowledge creation and transfer.

The findings of the present study on strategic growth areas and relevant critical capabilities provide new directions for research in the field of servitisation. Among the nine capabilities identified, the top three were advanced customer intelligence capability, socio-physical service quality, traceability and maintainability and integrated strategic decision-making. From the results, it is apparent that advanced customer intelligence capability is both an area of importance to Singapore and the world.

The purpose of this paper is to explore the factors influencing customers’ willingness to participate in virtual brand community’s value co-creation and help companies better operating the virtual brand community.

Based on social cognitive theory and the features of the virtual brand community, this paper constructed a model of factors influencing customers’ willingness to participate in virtual brand community’s value co-creation. Then this paper quantitatively analyzed the mediating effect and the moderating effect.

The empirical analysis came to the following conclusions: first, in virtual brand communities, customers’ willingness to participate in value co-creation would be influenced by subject factors, environment factors, brand factors and perceived value factor. Second, customer involvement is an important moderator. The more involved the customer is, the more he/she will rely on the virtual brand community. Particularly, customer involvement has a positive moderating effect on the influence of subject factors, while it has a negative moderating effect on the influence of community experience and community trust. Third, perceived value plays a significant mediating role between subject factors and customers’ willingness to participate in value co-creation.

The results of this study can help companies better understand the influence of external factors like environment and brand so that they can better operate the virtual brand community and encourage customers to contribute to the development of the community and the brand.

Most of the existing studies focused on the formation of virtual brand communities and customers’ participation behaviors, but there is limited research focusing on what contributes to customers’ participation in value co-creation of virtual brand communities. This study, therefore, attempts to bridge the research gap.

To maintain the well integrity, the strength and sealing ability of premium connection should be in the safe scope. ISO 13679 is widely used for evaluating the ability of tubing and casing connection all over the world. FE is adopted to simulate the ISO 13679 tests.

Because of the disadvantage of experiment such as long period, high cost and high requirement on the facility, considering the convenience and universality of finite element method, as well as the contacting nonlinearity and material nonlinearity, three-dimensional finite element model of a certain type of premium connection is established with the consideration of helix angle. The loads exerted on the premium connection are the loads in series B test and thermal cycle test of ISO 13679. The distributions of Von Mises stress and contact pressure in various cases were studied.

The results showed that the bending load has a great influence on the distribution of Von Mises stress and contact pressure for premium connection. The Von Mises stress and contact pressures on the sealing surface are smaller on the tension side and greater on the compression side. With increasing axial compression load, the contact pressures on the tension side are too small, which may lead to sealing failure. The influence of temperature on the performance of premium connection cannot be ignored when choosing or designing premium connections. Both the Von Mises stress and contact pressure decrease slightly during a period of thermal cycle. Although the performance of the premium connection is good in a period of thermal cycle, its performance in a long period should be evaluated. Finite element simulation can effectively simulate the ISO 13679 test procedure and obtain the stress and contact pressure distribution. It can be used as a reference for evaluating the performance of premium connections.

Considering the convenience and universality of finite element method, as well as the contacting nonlinearity and material nonlinearity, three-dimensional finite element model of a certain type of premium connection is established with the consideration of helix angle.

The purpose of this paper is to explore the key factors influencing the service innovation of mobile social networks (MSNs), figure out the mechanism of all factors in different stages of service innovation and help mobile social application developers promote better service innovation.

From previous research, this paper adopted nine initial factors that influence the service innovation of MSNs, and divide the service innovation process into three stages (i.e. demand analysis, service design and innovation implementation). On that basis, the authors constructed a model, and then collected data from 184 managers from 20 leading MSN corporates in China through questionnaires to examine the model. Furthermore, factor analysis was used to extract key factors influencing the service innovation of MSNs, correlation analysis was employed to discuss the relationship among factors and regression analysis was applied to explore their specific roles in different stages in the service innovation process.

The empirical results show that the service innovation of MSNs is mainly influenced by five key factors: user, developer, market environment, social environment and technology. The authors found that different factors played remarkably different roles in the three stages. In specific, all factors but technology are important in the demand analysis stage; all factors but social environment are critical to service design; and all factors but user contribute to the implementation of service innovation.

The results of this study can help mobile social application developers and mobile social service providers in China to better understand the driving force of service innovation and what should be emphasized in different stages, and then find the optimal path to implement service innovation, improve their service quality and user experience and facilitate the development of Chinese MSNs.

This is the first research that comprehensively explores factors influencing the service innovation of Chinese MSNs from multi-dimensional perspectives, which provides profound theoretical guidance to the practice of service innovation in China. Also, it contributes to the development of innovation theory of traditional web services.

The growing focus on socially responsible supply chain management (SRSCM) has made it crucial to extend corporate social responsibility (CSR) to upstream suppliers. Drawing on resource dependence theory, this study aims to examine how supplier dependence upon socially responsible buyers impacts suppliers' CSR performance and how this relationship is moderated by network prominence and demand uncertainty.

The proposed hypotheses are tested using regression analysis with Heckman's two-stage model and a dyadic supply chain dataset constructed based on publicly traded Chinese firms between 2008 and 2016. This time window is selected due to a one-year lag of the dependent variable and the change in evaluation methods of the database providing CSR performance in 2018.

The empirical results indicate that supplier dependence upon socially responsible buyers is positively associated with suppliers' CSR performance. However, this positive relationship is attenuated when suppliers occupy a prominent position in the network or when they face high demand uncertainty.

This study extends knowledge about the role of relationship dependence in implementing SRSCM by highlighting its positive impact on suppliers' CSR. Thus, this study contributes to the buyer–supplier relationship literature and the power and relationship dependence literature. This study further advances the understanding of the factors that influence suppliers' behavior by exploring the moderating roles of network prominence and demand uncertainty. The results have several practical implications for managers and policymakers.

Customer value cocreation (VCC) behavior is gaining increased scholarly attention in the services marketing discipline and has become a top research priority in recent times. Despite the growing interest in studying VCC, less scholarly attention has been paid to study the crucial role of frontline service employees in activating customer participation in the VCC process. Hence, to bridge this research gap, the present research expanded VCC research streams by investigating the mediating effect of frontline service employees' innovative behavior in psychological capital and customer VCC behavior relationship.

Data collected from 255 hotel employee–customer dyads were analyzed through Smart PLS to measure the proposed relationships.

The results suggest the mediating effect of frontline service employees' innovative behavior in psychological capital and customer VCC behavior relationship.

The current research made a significant contribution to the VCC field by identifying driving forces that encourage customers to exhibit VCC behaviors.

The purpose of this study is to investigate the factors that affect students’ behavioral intentions to use virtual classrooms at Princess Sumaya University for Technology (PSUT) in Jordan.

A quantitative research approach was adopted, an online survey method was used and the data were collected among students at PSUT in Jordan. A total of 511 responses were usable for analysis. A structural equation modeling partial least squares technique was used to examine the hypothesized model.

The findings reveal that the proposed factors have direct and indirect relationships with behavioral intentions to use virtual classrooms. They show that students’ satisfaction has a direct influence on behavioral intention, while other variables such as instructor characteristics, virtual classroom quality, perceived self-efficacy, perceived organizational support, perceived ease of use and perceived usefulness have an indirect effect on behavioral intentions to use virtual classrooms.

The study was conducted at PSUT in Jordan, which could limit the generalizability of the findings. Furthermore, the present study measured students’ behavioral intentions to use virtual classrooms and future research should consider the actual use of virtual classrooms.

The findings of this study offer significant and useful information to policymakers, instructors, developers and students regarding the use of virtual classrooms in universities. Based on students’ needs and readiness, the findings identify which factors to consider when developing an e-learning system to enhance learning and teaching performance.

This study extends existing knowledge by developing a conceptual model to identify the key factors of virtual classroom adoption in higher education institutions in Arab countries. This study contributes to the literature in the context of e-learning by validating an extended technology acceptance model from an Arab countries perspective and considering the differences in culture, learning style and physical environment compared to developed countries.

This study aims to investigate students’ satisfaction, self-efficacy and perceived competencies in a ‘technical writing and communication skills’ course after the switch of teaching the course from face to face to fully online during and after COVID-19. The study also measured the Achievement of Accreditation Board for Engineering and Technology course learning outcomes (CLOs).

A descriptive cross-sectional survey design approach was adopted in this study. Students were asked to respond to an online survey after completion of the course to measure the target parameters. The data of 250 respondents, analyzed with IBM SPSS Statistics 28, show high scores on all constructs.

Statistically significant differences among gender, field of study, grade point average (GPA) level, type of school attended and attainment of English proficiency certificate were detected for students in terms of their baseline perceived competencies, achievement of CLOs and self-efficacy scores. In addition, gender, field of study, GPA and holding an international English proficiency certificate had statistically significant effect, whereas the academic level and type of school were insignificant.

First, the data had been collected through survey only. A limitation of this method is that there could be survey fraud. Second, as some respondents found the survey long, their responses might have been less reliable. Moreover, as the survey was entirely conducted online, this may have caused limited sampling, because some respondents are less likely to have internet access/disconnection and respond to online surveys. Furthermore, this research had focused on studying the impact of an online course on university students’ achievement in a Jordanian university, this limits the generalizability of the result to students of other levels and classes, or ones studying in other universities or living in different countries.

Because of its impact on effective teaching and achievement, educators need to pay much attention to self-efficacy when designing new curricula for different environmental contexts. Furthermore, it is apparent that some courses, such as “technical writing” can be taught fully online without affecting students’ performance and achievement. Because educators always look for ways that make teaching effective, they may need to consider online platforms for teaching specific courses, hence save time, effort and resources.

A course on technical writing and communication skills offered to undergraduate engineering and information technology students at Princess Sumaya University for Technology was switched from face to face to fully online modality during the COVID-19 pandemic in the period 2020–2021. The effect of such massive and sudden transformation on students’ achievement and satisfaction called for immediate scrutiny of the prospect and expectancy of online learning.

This study aims to investigate factors that could predict the continued usage of e-learning systems, such as the learning management systems (LMS) at a Technical University in Ghana using machine learning algorithms.

The proposed model for this study adopted a unified theory of acceptance and use of technology as a base model and incorporated the following constructs: availability of resources (AR), computer self-efficacy (CSE), perceived enjoyment (PE) and continuance intention to use (CIU). The study used an online questionnaire to collect data from 280 students of a Technical University in Ghana. The partial least square-structural equation model (PLS-SEM) method was used to determine the measurement model’s reliability and validity. Machine learning algorithms were used to determine the relationships among the constructs in the proposed research model.

The findings from the study confirmed that AR, CSE, PE, performance expectancy, effort expectancy and social influence predicted students’ continuance intention to use the LMS. In addition, CIU and facilitating conditions predicted the continuance use of the LMS.

The use of machine learning algorithms in e-learning systems literature has been rarely used. Thus, this study contributes to the literature on the continuance use of e-learning systems using machine learning algorithms. Furthermore, this study contributes to the literature on the continuance use of e-learning systems in developing countries, especially in a Ghanaian higher education context.

This case study examines the experiences of 20 student teachers at an Indonesian private university in enhancing their self-efficacy in utilizing instructional technology.

The participants of this study had different cultural backgrounds and spoke different indigenous languages. Situated in diverse classroom settings, the participants were interviewed using online platforms to examine their learning experience when learning to integrate technology into teaching. Furthermore, observational data were collected through photographs taken during the learning process to triangulate the findings.

Grounded in case study analysis, the study reveals three emerging themes indicating the development of the preservice teachers' confidence in multilingual classrooms: (1) designing technology-mediated learning activities, (2) using learning technology to foster students' autonomy in learning and (3) promoting peer engagement in diverse classrooms through technology-based learning. Furthermore, the participants demonstrated their ability to develop self-efficacy in overcoming the challenges associated with technology use in education by adapting, innovating, and collaborating.

The study has three limitations. First, the limited number of participants involved in the study restricts the generalizability of the findings and does not allow for testing the potential influence of variables such as age, gender or experience on preservice teachers' beliefs. Second, limitation pertains to the reliability of self-report data provided by the preservice teachers. Given that self-efficacy can fluctuate over time, a longitudinal study is needed to investigate whether preservice teachers' self-efficacy in utilizing technology for learning evolves over time. Third, while the study was conducted in diverse classroom settings, it lacks an in-depth exploration of how cultural diversity impacts the learning outcomes of these preservice teachers.

The findings suggest that nurturing the technological self-efficacy of preservice teachers enhances their competence in technology-mediated pedagogy, both during the pandemic of COVID-19 and in the future.