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The purpose of this article is to help students to move from ICT access to knowledge sharing.

An overview of the literature on information literacy skills and the digital divide, an analysis of information seeking research, as well as experience in teaching a course in advanced information retrieval at the Department of Information Science, University of Pretoria, South Africa, inspired a theoretical model for addressing different layers of the digital divide.

The digital divide concerns more than just ICT access and information skills. Individual commitment, group work, and intellectual and academic support from the institution might contribute to bringing people to higher levels of knowledge generation and communication.

At this stage it is a theoretical model that needs to be tested in practice.

The model should hold possibilities for information literacy programs, programs in information retrieval, collaborative learning, and the developments of communities of practice.

The proposed model allows for higher levels of knowledge sharing and should help society to bridge the digital divide.

Describes the areas of human resource development that come under the administration of the Human Resources Development Bureau of the Ministry of Labour in Japan, and are administered through human resource development councils at the central and prefectural level. The recent rapid changes in industrial and demographic structures necessitated a systematic training for new skills and upgrading of the current ones for people who enter the labour market for the first time as well as those who are changing jobs. The Ministry’s role is to provide the integrated system of training opportunities, evaluation and certification, and the financial support to encourage participation of an increasing number of workers in vocational education, to improve their future prospects in employment. In particular, the establishment of the Business Career Development System is a reflection of a trend from generalist training of managers hitherto carried out in‐company to specialist development now offered outside the company.

The purpose of this paper is to develop a conceptual linkage between life‐work balance and emotional intelligence (EI).

Based on a review of the literature, it is suggested that life experiences contribute to the development of EI, which then moderates the individual's life‐work balance. The effect of emotions in an individual's personal life environment is of primary importance in the development of EI, which influences the work environment. The effects of work experience on one's personal life are influenced significantly by the level of emotional intelligence.

The level of EI is viewed as central to developing an individual's life‐work balance, and the primary effect of one's personal life suggests that it is more appropriate to view work as a component of overall life satisfaction; hence the use of the term “life‐work balance”.

The paper is a theoretical development of a model that emphasizes the role of emotional intelligence in life‐work balance; as such, there is a need for empirical research to examine the propositions generated by this analysis.

Managers should seek to develop emotional intelligence in the work setting to improve employees' abilities to manage life‐work balance.

This paper extends current research on EI and life‐work balance by conceptually integrating these two concepts and provides a framework for future research and investigation.

The ability to manage the COVID-19 pandemic is contingent upon the ability to effectively manage its heterogeneous knowledge resources. Knowledge mapping represents a great opportunity to create value by bringing stakeholders together, facilitating comprehensive collaboration and facilitating broader in-depth knowledge sharing and transfer. However, identifying and analysing critical knowledge areas is one of the most important steps when creating a knowledge map. Therefore, the purpose of this paper is to appraise the critical knowledge areas for managing COVID-19, and thereby enhance decision-making in tackling the consequences of the pandemic.

The methodological approach for this study is a critical literature review, covering publications on knowledge management, knowledge mapping and COVID-19. EBSCOhost, PubMed, Scopus, Science Direct, TRID, Web of Science and Wiley Online Library were searched for full text, peer-reviewed articles written in English that investigated on critical knowledge areas for managing the spread of COVID-19. After full screening, 21 articles met the criteria for inclusion and were analysed and reported.

The study revealed seven critical knowledge areas for managing the COVID-19 pandemic. These are cleaning and disinfection; training, education and communication; reporting guidance and updates; testing; infection control measures, personal protective equipment; and potential COVID-19 transmission in health and other care settings. The study developed a concept knowledge map illustrating areas of critical knowledge which decision-makers need to be aware of.

Providing decision-makers with access to key knowledge during the COVID-19 pandemic seems to be crucial for effective decision-making. This study has provided insights for the professionals and decision-makers identifying the critical knowledge areas for managing the COVID-19 pandemic.

The study advances the literature on knowledge management and builds a theoretical link with the management of public health emergencies. Additionally, the findings support the theoretical position that knowledge maps facilitate decision-making and help users to identify critical knowledge areas easily and effectively.

This study fills gaps in the existing literature by providing an explicit representation of know-how for managing the COVID-19 pandemic. This paper uses an objective and qualitative approach by reviewing related publications, reports and guidelines in the analysis. The concept map illustrates the critical knowledge areas for managing the COVID-19 pandemic.

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.

This paper aims to dynamically analyze the opportunities and challenges of AI in the defense sector in Lebanon or any security agency or any organization with sensitive data through a resource-based view perspective, the adoption of artificial intelligence (AI)/narrow AI applications in the Lebanese Armed Forces (LAF) and to diagnose the current strategic orientation toward innovation and technology within the LAF while avoiding isomorphism.

The methodology is based on a qualitative interpretive case-study approach collected from several departments of the LAF. In fact, there is a developing convention to use qualitative research approaches among which case studies to study information technology phenomena (Trauth and Jessup, 2000; Benbasat et al., 1987; Klein and Meyers, 1999). Data were collected through centered semi-structured in-depth interviews (two to three hours each) with an interview guide coded abductively between the researchers and the interviewees conducted in numerous departments of the LAF with their top officials and generals (O1, O2, O3…); the anonymity of the interviewees was kept due to the sensitivity of the data collected, which took place between September 2018 and March 2019. Data consolidation and processing were conducted using NVivo.

This paper shows that the LAF is undeniably facing many challenges among which isomorphism caused by the lack of resources; it also shows that narrow AI applications provide new avenues for the LAF to avoid such institutional isomorphism.

The role of narrow AI in limiting isomorphism in the defense sector.

To achieve stable gait planning and enhance the motion performance of quadruped robot, this paper aims to propose a motion control strategy based on central pattern generator (CPG) and back-propagation neural network (BPNN).

First, the Kuramoto phase oscillator is used to construct the CPG network model, and a piecewise continuous phase difference matrix is designed to optimize the duty cycle of walk gait, so as to realize the gait planning and smooth switching. Second, the mapper between CPG output and joint drive is established based on BP neural network, so that the quadruped robot based on CPG control has better foot trajectory to enhance the motion performance. Finally, to obtain better mapping effect, an evaluation function is resigned to evaluate the proximity between the actual foot trajectory and the ideal foot trajectory. Genetic algorithm and particle swarm optimization are used to optimize the initial weights and thresholds of BPNN to obtain more accurate foot trajectory.

The method provides a solution for the smooth gait switching and foot trajectory of the robot. The quintic polynomial trajectory is selected to testify the validity and practicability of the method through simulation and prototype experiment.

The paper solved the incorrect duty cycle under the walk gait of CPG network constructed by Kuramoto phase oscillator, and made the robot have a better foot trajectory by mapper to enhance its motion performance.

The purpose of this paper is to build a System Dynamics model to reveal the structure and dynamics of knowledge coupling affecting firms' innovation results in the digital context.

Drawing on the recombined view of innovation, this paper divides knowledge coupling into two dimensions: component knowledge coupling and architectural knowledge coupling. Then, the authors build a system dynamics model to identify the interaction of knowledge coupling factors and use the professional Vensim PLE to conduct simulation analysis to capture the dynamic interaction of motivation factors in knowledge coupling system.

The results show that both technology resources and digital dynamic capability play positive effects in the mechanism of knowledge coupling influencing firms' innovation results, while organizational inertia negatively affects the process of knowledge coupling to achieve innovation outcomes.

This study develops a holistic system dynamics model to reveal and elaborate on the complex dynamic mechanism of knowledge coupling impacting firms' innovation results in the context of digitization and provides a theoretical reference for companies to effectively adopt digital technology to carry out knowledge coupling strategy.

To explore potential mismatches between stakeholders' perceptions and expectations of key and technical skills needed for an advanced modern apprentice within the UK.

Using data collected from the automotive sector, the template process is used to establish lecturer, student and employee stakeholder group's expectations of a person taking up employment alongside an advanced modern apprenticeship or as an advanced modern apprentice. Perceptions of the extent to which expectations are met and their relative importance are assessed.

All stakeholders acknowledge that a skills gap exists across key and technical skills. However, whilst students focus on technical skills, lecturers and employees place greatest emphasis on key skills and their ability to transfer them.

Although this research is based on the UK automotive sector, the findings emphasise the importance of key skills and understanding as part of students' learning. Research is needed to establish why students appear to undervalue these and establish whether similar patterns exist in other sectors.

The voluntarist approach to UK vocational education and training has, when combined with the need for further education colleges to be economically viable, resulted in courses that appear attractive but do not always meet the automotive sector's needs. Research is needed to establish whether this is occurring across other sectors.

This template process offers a new technique to explore stakeholders' perceptions and expectations. The findings provide new insights into the mismatches between expectations of the stakeholders in vocational education and training.

This study aims to explore the requirements that manufacturing companies must meet when implementing advanced services involving financial solutions.

This study develops a framework to assess the applicability of advanced services from a financial perspective, which is applied in a multi-case study setting.

This study identifies relevant internal and external conditions to the business implementing financialised advanced services – such as the finance function’s level of sophistication, the capacity to assess market potential or the ability to use financial structuring to attract new financial players – that help predict the likelihood of adopting advanced services involving financial solutions. The research suggests planning operations as a “financial product” from the viewpoint of the financer and investor.

The financing culture and market disparities may condition the relative weight of the dimensions analysed in the framework.

Launching services involving financial solutions is a complex process, and hence, the proposed framework can help managers identify the major adjustments needed to embrace those advanced service modalities.

This study investigates the role of financial solutions in advanced services, from both the conceptual and business perspectives.