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Open innovation is regarded as the driven factor for organizational resilience, but open innovation's role and effect mechanism in leveraging organizational resilience has been limited explored. The purpose of this paper is to investigate the relationships between two types of open innovation and organizational resilience and the mediating effect of intellectual capital on open innovation and organizational resilience.

After a literature review, a research model including open innovation, intellectual capital and organizational resilience is proposed. Survey data are collected from information and communication technologies (ICT) sector in China and analyzed by using partial least squares–structural equation modeling (PLS-SEM) and Bootstrapping procedure to present results of each hypothesis test.

Results indicate that inbound open innovation has a significant and direct impact on organizational resilience, while outbound open innovation has not. In addition, all three dimensions of intellectual capital were significantly correlated with organizational resilience and had mediating roles in the indirect effect of inbound open innovation and organizational resilience. Nevertheless, only social capital played a mediating role in the relationship between outbound open innovation and organizational resilience.

The study explores the relationships among open innovation, intellectual capital and organizational resilience in a comprehensive model, which is the first known study to highlight that open innovation can enhance organizational resilience through intellectual capital, and provides valuable suggestions for improving organizational resilience.

Security is one of the major challenges in the design and implementation of protocols for mobile ad hoc networks (MANETs). In such systems, the cooperation between nodes is one of the important principles being followed in the current research works to formulate various security protocols. Many existing works assume that mobile nodes will follow prescribed protocols without deviation. However, this is not always the case, because these networks are subjected to a variety of malicious attacks. Since there are various models of attack, trust routing scheme can guarantee security and trust of the network. The purpose of this paper is to propose a novel trusted routing model for mitigating attacks in MANETs.

The proposed model incorporates the concept of trust into the MANETs and applies grey relational analysis theory combined with fuzzy sets to calculate a node’s trust level based on observations from neighbour nodes’ trust level, these trust levels are then used in the routing decision-making process.

In order to prove the applicability of the proposed solution, extensive experiments were conducted to evaluate the efficiency of the proposed model, aiming at improving the network interaction quality, malicious node mitigation and enhancements of the system’s security.

The proposed solution in this paper is a new approach combining the fundamental basics of fuzzy sets with the grey theory, where establishment of trust relationships among participating nodes is critical in order to enable collaborative optimisation of system metrics. Experimental results indicate that the proposed method is useful for reducing the effects of malicious nodes and for the enhancements of system’s security.

This study aims to report business preferences for achieving net-zero power production emissions in Saskatchewan, Canada as well as business perceptions of the most preferable power production sources, barriers to change and suggestions for improvement. Mixed methods included focus groups and a survey with experimental design. This research demonstrates that this method of advancing academic and business knowledge systems can engender a paradigmatic shift to decarbonization.

The study is a mixed-methods study using five focus groups and a survey which included a 15-min information video providing more information on power production sources (small modular reactors and biomass). Participants requested more information on these topics in the initial three focus groups.

There is a significant gap in Canadian Government targets for net-zero emissions by 2050 and businesses’ plans. Communications, knowledge and capacity gaps identified include lack of regulatory requirements, institutional barriers (including a capacity charge in the event a business chooses to self-generate with a cleaner source) and multi-level governance dissonance. More cooperation between provincial governments and the federal government was identified by participants as a requirement for achieving targets. Providing information to survey respondents increased support for clean and renewable sources, but gender and knowledge are still important characteristics contributing to support for different power production sources. Scientists and teachers were the most trusted sources of information. Power generated from small modular nuclear reactors was identified as the primary future source of power production followed by solar, wind and natural gas. Research results also confirmed the high level of support for hydropower generated in Saskatchewan versus import from Manitoba based on high values of energy solidarity and security within the province.

This study is original, as it concerns upstream system power production portfolios and not failed projects; the mixed-method research design including a focus group and an experimental survey is novel. This research partially addresses a gap in knowledge surrounding which knowledge systems advance paradigmatic shifts and how and whether involving business people in upstream power production decisions can inform decarbonization.

The purpose of this paper is to systematically unpack whether and how WeChat network size is correlated with perceived social capital and life satisfaction among Chinese overseas students in Germany.

Based on a web-based survey data collected from 218 sojourners, zero-order correlation analyses and structural equation modeling were separately implemented to tackle the complicated research questions.

Findings demonstrate that an individual’s WeChat network size significantly and directly influences bridging, bonding and maintained social capital. Importantly, a path model demonstrates that these distinct dimensions of social capital are all significant predictors of life satisfaction. Furthermore, the empirical evidence reveals that bridging, bonding and maintained social capital can mediate the association between network size and well-being outcome.

Theoretically, the paper is an initial attempt contributing to the previous studies on estimating the influence of WeChat friendships on social capital and life satisfaction. Practically, these findings will contribute to a more nuanced understanding of effect of personal network characteristics derived from the dominant media interaction on social connectedness and life quality.

Despite WeChat is immensely prevalent in Mainland China, only few studies have concentrated on the role of WeChat network size in fostering individuals’ social and psychological development. The work provides unique evidence that number of friends on the emerging technology could indirectly benefit sojourners’ satisfaction with life through processes involving diverse categories of social capital in a trans-cultural environment.

The paper aims to contribute to the current research on China's Belt and Road Initiative (BRI) from a historical point of view. The paper investigates why the history of the Silk Roads is important to the BRI, what is in the guiding thought underpinning China's Silk Roads narrative and how this narrative is presented transnationally, through an insightful analysis of the Communist Party of China's (CPC) view of the Silk Roads history, as well as its perception of the connections between the Silk Roads history and the BRI.

The paper sits in the interface between history, heritage and state power. The argument is framed in concepts of historical constructionism and soft power. It is based on the discourse analysis of China's official narrative of Silk Roads and a case study of the planning for the World Heritage nomination of the Maritime Silk Routes (MSR) (China section). The case study is conducted through a qualitative analysis of academic publications, media reports and programs, official speeches and documents that are available to the public in hardcopy or on the Internet.

The paper reveals the relationship between the state-endorsed Silk Roads narrative and the BRI. The paper argues that the state-backed Silk Roads narrative as well as the planning for the World Heritage nomination of the MSR (China section) is guided by the Chinese Communist Party's perception of the BRI. In this respect, the Silk Roads-associated history, heritage and memory are shaped and deployed to serve as a convenient platform for the promotion of the BRI. The Party leaders' perception of the BRI is in large part about the revival of China's past glory, its national rejuvenation and the demonstration of China's soft power.

The paper contributes to the existing literature on the BRI through its enquiries into how the CPC reconcile nationalist ambitions with notions of peace, harmony and cosmopolitanism and how CPC's view of the Silk Roads history shapes its vision of the BRI. The paper examines the role of the state in the construction and articulation of the Silk Roads-associated history, heritage and memory. It investigates how China's official interpretation of the Silk Road heritage serves China's BRI.

Habraken points out that the architectural studio failed to bring students to basic questions in the architecture of everyday environments. Till criticizes that in a studio, it is only the professional value represented by the teachers that prevails. To investigate the reasons of the allegation, this paper introduces a learning model defined by David A. Kolb, in which a learning process consists of two dimensional movements: i.e., prehension (concrete experiences vs. abstract conceptualization) and transformation (reflection and experiment). The paper then inquires into Schön's observation in the studio learning mode characterized as reflection-in-action. It is found that this studio is mainly dealing with the transformation dimension, and prehension dimension is either suppressed or represented by the teacher's experiences and conceptions. The paper discovers that the cause of problems raised by Habraken and Till is the inherent lack of substance in the prehension dimension.

The paper assesses a studio programme in which the basic questions of built environment were systematically introduced. It analyzes the students' reactions and performance in line with students' learning styles found using Kolb's Learning Style Inventory (LSI). It suggests that the students' learning activities are more diversified than what Schön could perceive. There is a possibility to adapt students' personal experience and abstract conceptualization which may play into the studio. By enhancing diversity of learning styles rather than letting one's learning style (reflection-in-action) prevail, the studio may become a platform in which students may learn from each other.

In the modern increasingly competitive milieu of cause marketing activities, both profit and nonprofit organizations expect their advocation of prosocial programs to gain the support of target customers. Previous research shows the effect from adding participant's personal attributes or social influence factors. This study considers the effects of benefit incentives and cost/reward influences to enhance prosocial behaviors.

Three between-subject experiments were conducted and SPSS Statistics ANOVA was employed to analyze the experimental results.

Rewarding time delays and prosocial efforts have no significant impact on the relationship between other-benefit incentives and willingness to engage in prosocial behaviors, but do significantly impact the self-benefit incentives condition. However, the negative effect of self-benefit condition can be mitigated by high rewards.

Since prosocial campaigns proposed by organizations in this study include both profit and nonprofit organizations, perhaps two category organization types should be attentively classified to evaluate the effects.

Under social marketing campaigns with self-benefit incentives conditions, the empirical findings of this study show that profit and nonprofit organizations can provide higher reward values to mitigate the adverse effects of high participating costs.

Social marketing campaigns with other-benefit incentives are less affected by high participating costs and highlight the value of altruism.

This study provides valuable suggestions for both profit and nonprofit organizations to use self-benefit/other-benefit incentives under cost related factors influence to encourage customers' prosocial behaviors.

Trust is one of the main pillars of many communication and interaction domains. Computing is no exception. Fog computing (FC) has emerged as mitigation of several cloud computing limitations. However, selecting a trustworthy node from the fog network still presents serious challenges. This paper aims to propose an algorithm intended to mitigate the trust and the security issues related to selecting a node of a fog network.

The proposed model/algorithm is based on two main concepts, namely, machine learning using fuzzy neural networks (FNNs) and the weighted weakest link (WWL) algorithm. The crux of the proposed model is to be trained, validated and used to classify the fog nodes according to their trust scores. A total of 2,482 certified computing products, in addition to a set of nodes composed of multiple items, are used to train, validate and test the proposed model. A scenario including nodes composed of multiple computing items is designed for applying and evaluating the performance of the proposed model/algorithm.

The results show a well-performing trust model with an accuracy of 0.9996. Thus, the end-users of FC services adopting the proposed approach could be more confident when selecting elected fog nodes. The trained, validated and tested model was able to classify the nodes according to their trust level. The proposed model is a novel approach to fog nodes selection in a fog network.

Certainly, all data could be collected, however, some features are very difficult to have their scores. Available techniques such as regression analysis and the use of the experts have their own limitations. Experts might be subjective, even though the author used the fuzzy group decision-making model to mitigate the subjectivity effect. A methodical evaluation by specialized bodies such as the security certification process is paramount to mitigate these issues. The author recommends the repetition of the same study when data form such bodies is available.

The novel combination of FNN and WWL in a trust model mitigates uncertainty, subjectivity and enables the trust classification of complex FC nodes. Furthermore, the combination also allowed the classification of fog nodes composed of diverse computing items, which is not possible without the WWL. The proposed algorithm will provide the required intelligence for end-users (devices) to make sound decisions when requesting fog services.

Previous studies of e-servicescapes have considered general internet consumers as the main research subjects; however, some studies have argued that heavy users are the main sources of consumption. Understanding heavy user’s consumption traits is crucial for enhancing company profits; hence, the purpose of this paper is to compare the significant attributes of e-servicescapes and clarify their relationship with purchase intention by employing heavy and light internet users as moderators.

An online questionnaire was used to collected data from 342 valid internet users with online shopping experience, and the differences were compared through structural equation modeling.

Aesthetic appeal and interactivity significantly increase general users’ purchase intentions. For heavy users, interactivity was the most crucial factor, followed by esthetic appeal, and then layout and functionality. For light users, Aesthetic appeal was the only crucial factor. The data also reveal that financial security does not have significant positive effects on general, heavy, or light users.

Using the insight gained by integrating purchase intention with e-service quality and segmentation theory in the e-servicescape, the authors display how heavy and light internet users evaluate the e-servicescape for signals of quality attributes and contribute their cognitive response and purchase intention according to different consumption traits. Internet retailers are recommended to segment heavy and light users, redesign their current e-servicescapes, and provide more appropriate marketing strategies to attract and keep heavy and light users and enhance their purchase intentions.