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Research management has evolved significantly in Malaysia from being part of generic administration into a more specialised yet diverse field. The importance of research and innovation in the government’s agenda is reflected in the five-year Malaysia Plans and policies. The GERD percentage of GDP has grown steadily each year since 1996. Business enterprises and non-profit organisations are important players in the R&D ecosystem. Universities record the highest percentage of R&D personnel, including contracted staff and seconded academics for research management. Recognising the importance of professional RMAs led to the formation of the Malaysia Association of Research Managers and Administrators (MyRMA). It provides a platform for the community of practice to develop professionalisation pathways.

One important strategy Multinational Enterprises (MNEs) employ to compete in the global market is to engage in foreign investment, but firms must know how they can perform better in the host country market. International subsidiaries’ performances play a chief role for MNEs’ globalization strategy. The purpose of this paper is to construct multi-level research with parent-level data at the higher level and subsidiary-level data at the lower level.

This study helps capture the rapid growing trend in emerging markets and uses a sample of Taiwanese enterprises and their subsidiaries in China. The data come from the Taiwan Economic Journal database. Precisely, the authors obtain 711 Taiwanese MNEs and 4,458 of their subsidiaries in China.

This study finds among the parent company’s attributes that firm size, firm total performance, depth of internationalization and foreign shareholding have significant impacts on subsidiary performance, while within the subsidiary’s attributes, subsidiary size, subsidiary-owned capital and total investment fund significantly affect subsidiary performance.

In order to capture subsidiary performance, this study uses a multi-level analysis approach with the Hierarchical Linear Model statistic method to separate parent company attributes and subsidiary-owned attributes as two distinct levels. This method fills the gap in the literature by analyzing subsidiary performance and clarifying that foreign direct investment is a multi-level phenomenon that cannot be analyzed using a one-level analysis method.

The surging entrance of new mobile payment merchants into the growing market has prompted the need for an in-depth understanding of loyalty formation to retain customers. This study examines customers' loyalty generation process in mobile payment services by exploring the serial effect of cognitive drivers (i.e. brand awareness, perceived quality, brand image, perceived value and layout) on affective response, satisfaction and loyalty.

A survey using self-administered questionnaires was conducted. The data was collected from 370 consumers who have experience using mobile payment services in Vietnam. The data were submitted to partial least square structural equation modeling (PLS-SEM) and artificial neural networks (ANN) analysis.

The results indicated that all the proposed cognitive drivers show significant impacts on affective response, which, in turn, translates into satisfaction and loyalty. The post-hoc analysis revealed enjoyment as the vital affective response in determining satisfaction. Moreover, the multigroup analysis indicated that the relationship between affective response and satisfaction is stronger for the female group. In addition, the ANN's nonlinear result revealed complementary insight into the importance of cognitive drivers.

The current study revealed both linear and nonlinear mechanisms that explicate the roles of cognitive drivers and affective responses in fostering loyalty toward mobile payment merchants. The findings add to the existing literature that emphasizes consumers' initial mobile payment adoption.

This study investigates the way in which acquisition-related human factors affect knowledge transfer in the context of Chinese cross-border M&A for strategic assets. The authors find that the process of knowledge transfer is reciprocal for revenue and cost synergies, including explicit and tacit knowledge. The establishment of joint ventures (JV) in China after the takeover boosts product-oriented knowledge transfer from overseas-acquired firms in mature markets to Chinese acquirers. The promotion of overseas synergies stimulates complementary knowledge transfer flow, which is reversely transferred from Chinese acquirers to overseas-acquired subsidiaries such as low-saving sourcing and new market applications. This study identifies three acquisition-related human factors that impact overseas knowledge senders for knowledge transfer. These human factors are implemented by Chinese strategic investors as new shareholders during the loosen integration phase. The first facilitator is all-round communication programs with top management involvement, aiming to build up constructive communication channels to boost knowledge transfer. The second facilitator is competence-based trust, which stimulates cooperation and application based on similar professional competence between Chinese acquirers and their overseas-acquired subsidiaries. The impeder is a high turnover of key skilled workers at Chinese acquirers to undermine the effectiveness of knowledge transfer.

Can mobile instant messaging (MIM) make people entering into the state of cognitive absorption (CA)? The purpose of this paper is to investigate whether CA can help explain users’ satisfaction during the process of MIM, while interactivity and interest are operated as determinants of CA as well as directly associated with satisfaction.

This study proposes a satisfaction model that is adapted from the CA theory to investigate MIMs users’ satisfaction with two determinants, interactivity and interest. Specifically, CA is operated as a second-order formative construct with four reflective dimensions, including curiosity, focused immersion, heightened enjoyment and temporal dissociation. Partial least square structural equation modeling was applied to evaluate the causal links of the model with the data collected from 472 LINE users who all had long using experience.

The results showed that CA in MIM, fueled by interactivity and interest, is positively related to satisfaction. Interactivity and interest themselves were also significantly associated with satisfaction. Among them, interactivity has the most influence on satisfaction, followed by interest and CA. Surprised, curiosity and focused immersion did not formative CA in MIM.

The present study focuses on user satisfaction of a specific MIM (LINE) and collects data from users within a specific region (Taiwan). Other researchers must take these constrains into consideration when referencing this study.

To the best of the authors’ knowledge, this is the first study which confirmed that people still enter into the state of CA when using MIM on smartphone, even though the using environment is drastically different from that on desktop. It indicates that prior theories in CA with desktop-based software are still applicable and serve as a basis for more studies in the mobile context to a certain extent, but other factors should also be considered. As interactivity and interest are conducive to CA, leading to user satisfaction, an MIM app can be more popular if the two factors are incorporated.

The upsurge of Chinese and Indian outward foreign direct investment (FDI) raises an unanswered question about locational determinants of direct investment from the two countries. Using an unbalanced bilateral FDI database, we find that Chinese and Indian FDI are attracted to countries with large market size, low GDP growth, high volumes of imports from China or India, and low corporate tax rates. We also find important differences between China and India. While Chinese FDI is drawn to countries with open economic regimes, depreciated host currencies, better institutional environments, and English speaking status, none of these factors are important for Indian FDI. Chinese FDI is also deterred by geographic distance and OCED membership. However, neither of these has any impact on Indian FDI.

Knowledge reuse using electronic repositories, while increasingly important, requires more thorough analysis. Service modularity has been recently applied in services research but has not been integrated into knowledge reuse studies. The purpose of this paper is to draw on both service modularity and knowledge reuse to develop and validate a framework that categorises forms of packaged knowledge in an electronic repository.

Drawing on knowledge reuse and service modularity research, a model is proposed. The model is empirically tested using a case study research design.

This research highlighted the value of including both context and process as key dimensions when packaging service knowledge for reuse. This study identifies knowledge types present in modular solutions and how they were configured and reconfigured in the knowledge repository. This research identified five ways modularised services were leveraged. In addition to the traditional scale and stretch approaches, already present, but conflated, in the service literature, three other configurations were identified; shrink, separate and segment.

The findings are based on a single empirical case study which may limit the generalisability of the findings. There is a need for additional research to further validate the model in additional contexts.

This study provides managers with empirical examples of how a modular repository was used in practice and outlines five ways of recombining contextual and processual elements to enable service codification and reuse. It has implications for how knowledge is decomposed and recombined in repositories, suggesting an explicit separation of context and process knowledge while developing modular elements within both.

To the best of the author’s knowledge, this is the first study that explicitly uses context and process as dimensions and draws on service modularity to understand types of knowledge reuse in electronic repositories. In doing so, it adds value by developing and validating a model that identifies five types of reuse.

This study aims to investigate the factors driving viewers' purchase intention in live-streaming by incorporating stimuli–organism–response (S–O–R) framework and extroversion–introversion personality perspectives.

Data collected from 228 users on live-streaming platforms in Taiwan were used to test the proposed model. The partial least squares method was used to test the measurement and the structural models.

Product attractiveness and trust in streamer significantly impacts purchase intention. The results also reveal that interactivity, breadth of information and uniqueness of information significantly impact product attractiveness, whereas social presence, breadth of information and uniqueness of information positively affect trust in streamer. Furthermore, streamer attractiveness has a greater effect on the purchase intention of extroverts.

This study investigates how the features of media, message and streamer impact purchase intention through their reactions to live-streaming. This research is also one of the earliest studies to examine the moderating role of extroversion–introversion personality on purchase intention and its antecedents in live-streaming commerce.