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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.

The explosion of data due to the sophistication of information and communication technology makes it simple for prospective tourists to learn about previous hotel guests' experiences. They prioritize the rating score when selecting a hotel. However, rating scores are less reliable for suggesting a personalized preference for each aspect, especially when they are in a limited number. This study aims to recommend ratings and personalized preference hotels using cross-domain and aspect-based features.

We propose an aspect-based cross-domain personalized recommendation (AsCDPR), a novel framework for rating prediction and personalized customer preference recommendations. We incorporate a cross-domain personalized approach and aspect-based features of items from the review text. We extracted aspect-based feature vectors from two domains using bidirectional long short-term memory and then mapped them by a multilayer perceptron (MLP). The cross-domain recommendation module trains MLP to analyze sentiment and predict item ratings and the polarities of the aspect based on user preferences.

Expanded by its synonyms, aspect-based features significantly improve the performance of sentiment analysis on accuracy and the F1-score matrix. With relatively low mean absolute error and root mean square error values, AsCDPR outperforms matrix factorization, collaborative matrix factorization, EMCDPR and Personalized transfer of user preferences for cross-domain recommendation. These values are 1.3657 and 1.6682, respectively.

This study assists users in recommending hotels based on their priority preferences. Users do not need to read other people's reviews to capture the key aspects of items. This model could enhance system reliability in the hospitality industry by providing personalized recommendations.

This study introduces a new approach that embeds aspect-based features of items in a cross-domain personalized recommendation. AsCDPR predicts ratings and provides recommendations based on priority aspects of each user's preferences.

Process mining tools can help discover and improve the business processes of urban community services from historical service event records. However, for the community service domains with small datasets, the effects of process mining are generally limited due to process incompleteness and data noise. In this paper, a cross-domain knowledge transfer method is proposed to help service process discovery with small datasets by making use of rich knowledge in similar domains with large datasets.

First, ontology modeling is used to reduce the effects of cross-domain semantic ambiguity on knowledge transfer. Second, association rules (of the activities in the service processes) are extracted with Bayesian network. Third, applicable association rules are retrieved using an applicability assignment function. Further, the retrieved association rules in domains with large datasets are mapped to those with a small dataset using a linear programming method, with a heuristic miner being adopted to generate the process model.

The proposed method is verified based on the empirical data of 10 service domains from Beidaihe, China. Results show that process discovery performance of all 10 domains were improved with the overall robustness score, precision, recall and F1 score increased by 13%, 13%, 17% and 15%, respectively. For the domains with only small datasets, the cross-domain knowledge transfer method outperforms popular state-of-the art methods.

The limitations of sample sizes are greatly reduced. This scheme can be followed to establish business process management systems of community services with reasonable performance and limited sample sizes.

The purpose of this study is to examine how different disciplines and sectors approach creativity, and how to improve cross-domain collaboration efficiency. Creativity is one of the most important factors that hugely contributes to the growth of economy, and the key to the modern organisation’s survival. There are considerable differences between disciplines regarding how they approach creativity since each discipline has a methodology which is designed to develop new ideas. Specialisation of disciplines can create difficulties when they start to interact in collaborations. Differences between sectors (Industry, Academia, Arts and Public) in definition of creativity, creativity measurement, management and collaboration motivators can hinder cross-sector collaboration efficiency.

A questionnaire was distributed over the Internet, and statistical tests were performed to find differences between groups how they view various dimensions of creativity.

By analysing various disciplines, the study revealed significant differences between the reward system, the creativity measurement, the required management support and the way how various disciplines solve complex problems. Sector analysis revealed significant differences in creativity quantification, personal traits, sensitivity to idea ownership, composition and size of the ideal team, communication and incentives to increase creativity.

In this study, only Internet users were sampled, and the majority of respondent were from Europe working in academic environment.

Misalignment of forces between disciplines causes inefficient cross- and multi-disciplinary collaborations, while inter-sector misalignment results in unproductive inter-disciplinary and trans-disciplinary teamwork. Special emphasis has to be placed on external factor, creativity measurement and collaboration motivator adjustment that were the most misaligned across the analysed groups.

The study indicates that to increase collaboration, efficiency factors that were scrutinised in this project have to be aligned across disciplines and sectors.

This study aims to analyze the structural characteristics of knowledge exchange in Zhihu Lives to provide feasible suggestions for improving the creative enthusiasm of knowledge providers.

This paper uses the domain classification of Zhihu Lives to construct a cross-domain knowledge exchange network.

This research makes the following findings: the small-world effect exists in the sponsorship network and is conducive to enhancing the learning willingness of knowledge providers; significant sponsorships and strong learning willingness exist among knowledge providers; the knowledge exchange is obvious among the fields of education, reading and writing, business and lifestyle and the fields of music, film, games, art, the internet, science and technology, design, financial economy and occupation; and knowledge exchange is obvious among the internal fields of education, reading and writing, and business and life style, between the internal fields of music, film, and games and art and between the internal fields of the internet, science and technology, design, financial economy and occupation.

This study can provide practical suggestions for the following development of the platform by analyzing the special phenomenon of knowledge exchange in the present stage of knowledge exchange.

Although an emerging field in work and family literature, organization cross domain intervention managing strategies (CDIMS) is an under-researched area. This study aims to investigate whether organization non-monetary CDIMS (control over work hours and supervisor support) have an impact on employee outcomes via the mediating effect work–family balance (WFB).

Data for the study have been gathered in two distinct surveys from 300 employees working at the managerial level in various manufacturing companies of Pakistan with a seven-week time interval to reduce common method variance. Data were collected during January and March 2020. Confirmatory factor analysis has been performed before testing the mediated model.

Organization non-monetary CDIMS i.e. control over work hours and supervisor support has been associated positively with WFB, which has further mediated the relationship between workplace non-monetary CDIMS and employee professional outcomes.

Both supervisor support and control over work hours improve employee outcomes by experiencing the satisfaction with WFB. It has been recommended that organizations embed cross-domain interventions in their job design to benefit all employees impartially. Thus, all employees can enjoy better WFB and show positive work behaviors.

This study demonstrates the effectiveness of non-monetary organization CDIMS in enhancing the experience of employee’s WFB and improving their professional outcomes.

The growing number of people with multiple problems in different areas of life means that cross-domain interprofessional collaboration is becoming increasingly important. This study aims to focus on interprofessional collaboration between professionals from social work and financial and employment service organizations in The Netherlands. This type of cross-domain collaboration is still mostly superficial, and limited empirical knowledge is available about its beneficial factors.

The interprofessional collaboration model of Mulvale et al. (2016) was used as theoretical background for the research methodology and to reflect on the findings of our study. Data was collected through a qualitative study among professionals (N = 18) from social work and financial and employment service organizations in three different Dutch municipalities.

Similar team-level collaboration mechanisms of Mulvale et al.’s (2016) model were seen within this study. Joint client meetings were very beneficial for the interprofessional collaboration. Further beneficial factors include the decision-making process, team vision, client as an equal member, open communication and the appointment of a coordinator.

Further special attention is needed to determine how best to allocate co-ordinating tasks, and how organizational and policy contexts affect the functioning of interprofessional collaborative teams.

This study offers an empirical view on a cross-domain collaboration between social work and financial and employment service organizations, by using Mulvale et al.’s (2016) model. In addition, this study also offers special attention to the role of the client in interprofessional collaborative teams.

Aims to identify security‐relevant semantics of business processes being defined by WS‐BPEL (Web Services Business Process Execution Language, BPEL for short) scripts, in particular, when such scripts defining collaborative business processes on top of web services are deployed across security domain boundaries.

Analysing potential of BPEL to define behaviour of business processes violating restrictions implied by security policies.

Semantic patterns being combinations of particular BPEL features and web services with specific access restrictions implied by security policies are defined and their implications for analysis of BPEL scripts during compliance assessment of cross‐domain defined business processes are identified.

The results of the research part of which is reported here have been applied in a research prototype to BPEL scripts of limited size and comparatively simple business logic. Real‐world examples of BPEL scripts with respect to size and complexity should be examined for further approving suitability of the algorithms used.

The results can be used to specify security policies in terms of security‐critical semantics of BPEL scripts in order to facilitate compliance assessment. In conjunction with other results of this research, this will help to overcome security issues arising from cross‐domain definition of business processes by enabling automatic compliance assessment prior to execution.

The purpose of this paper is to propose and test a model to examine how the active management of work-family boundary strength acts as behavioral mechanism through which role-based factors – role demands and role identity – influence the conflict experienced by individuals.

Three studies were conducted to examine the proposed model. Studies 1 and 2 used an experimental design to test the causal effects of role demands on the strength of work and family boundaries, whereas Study 3 surveyed 389 working professionals to test the interactional and mediating effects of the model variables on inter-role conflict.

Results suggest that increasing demands in one domain weaken the boundary strength around the cross-domain to make resource drain possible, which, in turn, increases the conflict experienced in that domain; moreover, results show that work identity reinforces the weakening of the boundary strength at home caused by increasing work demands.

The study of boundary management decisions as an underlying mechanism through which individuals’ role-based factors affect work-family conflict (WFC) can offer new insights into how to manage increasing work-family responsibilities.

This study findings can help individuals to cope with role demands and organizations to promote a culture that supports work-family balance.

This paper advances WFC research by examining alternative mechanisms through which role demands influence WFC. Methodologically, the research improves on past studies by bringing together experimental and correlational designs.

The purpose of this study is to examine the relationship between two forms of work‐family conflict – work‐family conflict and family‐work conflict – and individual consequences for Chinese managers.

Participants of this study were 264 managers from Mainland China. The authors tested their hypotheses with structural equation modeling.

Work‐family conflict was positively associated with emotional exhaustion. Family‐work conflict was negatively associated with life satisfaction and affective commitment, as well as positively related to turnover intentions. Contrary to the research with samples of workers from Western countries (e.g. the USA), the study found that work‐family conflict was positively associated with affective commitment and did not associate with turnover intentions for Chinese managers.

Using the perspective of the Chinese prioritizing work for family benefits, the authors are the first to provide a preliminary test of the generalizability of the source attribution and the cross‐domain models to Chinese managers. The paper's findings provide the preliminary evidence that the cross‐domain model works among the Chinese because of its cultural neutrality whereas the source attribution model cannot be used to predict the associations between work‐family conflict and work‐related consequences.