Ethical values and social care robots for older people: an international qualitative study

Values such as respect for autonomy, safety, enablement, independence, privacy and social connectedness should be reflected in the design of social robots. The same values should affect the process by which robots are introduced into the homes of older people to support independent living. These values may, however, be in tension. We explored what potential users thought about these values, and how the tensions between them could be resolved. With the help of partners in the ACCOMPANY project, 21 focus groups (123 participants) were convened in France, the Netherlands and the UK. These groups consisted of: (i) older people, (ii) informal carers and (iii) formal carers of older people. The participants were asked to discuss scenarios in which there is a conflict between older people and others over how a robot should be used, these conflicts reflecting tensions between values. Participants favoured compromise, persuasion and negotiation as a means of reaching agreement. Roles and related role-norms for the robot were thought relevant to resolving tensions, as were hypothetical agreements between users and robot-providers before the robot is introduced into the home. Participants’ understanding of each of the values—autonomy, safety, enablement, independence, privacy and social connectedness—is reported. Participants tended to agree that autonomy often has priority over the other values, with the exception in certain cases of safety. The second part of the paper discusses how the values could be incorporated into the design of social robots and operationalised in line with the views expressed by the participants.     

Evaluating R&D investment efficiency in China's high-tech industry

Research and development (R&D) investment activity plays a crucial role in developing high-tech industries. In recent decades, China has made sustained investments in its domestic high-tech industries, with the goal of increasing their productivity. This paper investigates the effect of this investment on relative R&D efficiency across China's high-tech sectors. Data Envelopment Analysis (DEA) was used to generate quantitative indices for sector comparisons. The analysis of this study indicates that overall R&D investment efficiency did not increase from 1998 to 2009, despite R&D expenditure increasing by 2188%. Over the same period, most sectors suffered from decreasing returns to scale (DRS), presumably also reflecting the inefficient R&D investment. Most of the sectors showed significant fluctuation on R&D investment efficiency. This research result indicates that the problem of China's high-tech industry may be from the inefficiency of its technology commercialization processes, and therefore represents a critical parameter for policy makers and managers.     

Analysing intellectual capital management and growth based on dynamic modelling

The management of intellectual capital (IC) resources increases organizational value creation capacities. The aim of this study is to present an algorithm for analysing IC management with an emphasis on the recognition and modelling of growth mechanisms for strategic resources. Intensive interactions among different tangible and intangible assets turn organizations into complex systems of highly interrelated resources; therefore, a systems approach is adopted, and a causal loop diagram is used to model resource interaction feedback structures. The development and analysis of the resource interactions model is explained through a practical algorithm that reveals different dimensions of resource deployment, including the potential value of resources, utilization of resources in key business processes, and mechanisms responsible for the sustained growth of strategic resources. The proposed algorithm was used to examine a telecommunication company. We show that there are no growth mechanisms for certain strategic resources. To activate the growth of such strategic resources, several feedback loops are recognized and related initiatives are proposed.     

Intellectual capital of nations: a comparative analysis of assessment models

Although intellectual capital (IC) is the most important factor determining the economic growth, the literature on country-level IC is not quite enough, and more advances are required to improve the assistance to policy makers in the knowledge era. There are different approaches to measuring and managing intangibles, which opens research opportunities and offers new tools to manage IC. This paper contributes to identify, select, and classify models to evaluate and manage intangibles at the country level. The models were identified through a systematic literature review. They were analyzed and compared using cluster analysis. The results show that the models can be grouped into two main categories according to origin and structure. Despite the differences among the models, the reports tend to converge, because of which the decision about which model to choose can be based on pragmatic issues, such as availability of data, previous knowledge, and complexity of reports.     

Knowledge development and advice networks in professional organizations

In this paper, social network analysis techniques and regression models are used to explain the impact of the level of knowledge development on ego-network redundancy in a community of hospital physicians. Our findings document that the level of knowledge development and the extent to which knowledge is homogeneously distributed amongst collaborating physicians are related to the redundancy of their advice networks, albeit with opposite effects. Our results highlight also that the impact of these relationships on network redundancy is moderated based on whether partnering individuals belong to different professional groups. Our results provide valuable input for the management of knowledge networks within professional organizations.     

Embedded knowledge management: towards improved managerial relevance

Despite the large volume of research and managerial literature on knowledge management, many practitioners seem to find it difficult to appreciate its added value for their managerial work. This paper aims to understand and elaborate the added value that knowledge management as a managerial approach can bring to the management of knowledge-intensive organizations. This study explores empirically the actual management practices of a knowledge-intensive organization and examines how knowledge-related phenomena are managed as embedded aspects of management. This paper makes a contribution to prior discussions concerning the relevance of knowledge management and the role of knowledge management as an embedded management practice. The findings of this study should be useful in explaining practitioners the nature, relevance and value of knowledge management.     

Knowledge management systems: the hallmark of SMEs

This paper provides an overview of the knowledge management systems (KMSs) adopted by small and medium enterprises (SMEs). KMSs are divided into two categories: knowledge management tools (KM-Tools) and knowledge management practices (KM-Practices). On the basis of the analysis of the literature, two research questions (RQs) were identified and addressed through semi-structured interviews carried out in a sample of 35 SMEs operating in high-tech industries. The first RQ concerns the degree of adoption of KMSs by SMEs. The second RQ regards the relationship between KM-Tools and KM-Practices. As far as the degree of adoption of KMSs, the paper highlights that SMEs are not a homogeneous world but there are a variety of approaches and behaviours. As far as the relationship between the degree of adoption of KM-Tools and KM-Practices, the paper identifies three groups of SMEs that seem to point out the stages of the process of adoption of KMSs: Introduction, SMEs that deal with the process of knowledge management exploiting practices and tools that are already known; Growth, SMEs that adopt specialist practices of knowledge management acquiring new organisational and managerial competence in the field of knowledge management; Maturity, SMEs that invest in new technology and that acquire new technological competence in the field of knowledge management. This categorisation paves the way for further theoretical and practical implications for both managers and policy makers.     

Relationships among organizational culture,knowledge sharing,and innovation capability: a case of the automobile industry in Taiwan

The advancement of automobiles (thereinafter auto) during these decades has not only made great contributions to the economic development, but also significantly changed people’s life. Apparently, the auto industry has entered an innovation race. Among extant literature, organizational culture (OC) has positive impact on innovation capability (INC), whereas little research concerns about how OC influences organization’s capabilities through knowledge management (KM) activities, especially for knowledge sharing (KS) taken in a firm. This study aims to explore the effect of OC and KS on INC in the knowledge-intensive auto industry. Questionnaires are given to 6 whole-car manufacturers, 49 parts suppliers, and 7 car dealers in Taiwan. 449 valid questionnaires are returned, and an empirical analysis through structural equation modeling (SEM) is performed. The result shows that KS is the mediating variable of OC and INC, and OC has a significant positive effect on KS.     

The Emergence of For-Profit E-learning Providers in Asia

ICT International

The Emergence of For-Profit E-learning Providers in Asia     

Efficient sample preparation in immuno-matrix-assisted laser desorption/ionization mass spectrometry using acoustic trapping

Acoustic trapping of minute bead amounts against fluid flow allows for easy automation of multiple assay steps, using a convenient aspirate/dispense format. Here, a method based on acoustic trapping that allows sample preparation for immuno-matrix-assisted laser desorption/ionization mass spectrometry using only half a million 2.8 μm antibody covered beads is presented. The acoustic trapping is done in 200 × 2000 μm² glass capillaries and provides highly efficient binding and washing conditions, as shown by complete removal of detergents and sample processing times of 5-10 min. The versatility of the method is demonstrated using an antibody against Angiotensin I (Ang I), a peptide hormone involved in hypotension. Using this model system, the acoustic trapping was efficient in enriching Angiotensin at 400 pM spiked in plasma samples.