Search results

Extant literature on design theory has little empirical evidence about how work characteristics affect team interaction processes. This paper examines the knowledge-sharing process in information systems development (ISD) projects.

Task interdependence from work design theory was used as an antecedent of knowledge sharing for collaboration for the empirical analysis. Data were collected from 203 ISD project teams in South Korea to examine team social capital and knowledge sharing among team members.

The results indicate that task interdependence has a statistically significant impact on the knowledge-sharing process. The mediating roles of social capital and knowledge sharing are critical. Additionally, the effects of social capital change over time as long-term projects have different mechanisms than short-term ones.

The paper introduces a novel perspective (i.e. the adoption of task interdependence from work design theory) and integrates it with the research constructs that play important roles in ISD projects: knowledge sharing and teams’ social capital. In an ISD project team, which represents knowledge-intensive collaboration and has heterogeneous team characteristics, task interdependence has a positive impact on the team as predicted by work design theory. It verifies the mediating effect of social capital, particularly the changing influence of social capital with time.

The purpose of this paper is to empirically investigate the mechanism through which empowering leadership of a team leader might influence the team performance in IT service.

The data of 315 individuals collected from 85 different IT projects through online survey is used to empirically test the hypotheses.

The results confirm that team leader′s empowering leadership raises the level of knowledge sharing among team members and increase the absorptive capacity of the team, and lead to better team performance.

This research theoretically presented and demonstrated the middle- and long-term impacts of empowering leadership resulting from the development of absorptive capacity as the effects of knowledge sharing in an IT project team are produced through absorptive capacity.

The findings indicate that more effective in increasing the performance of IT project teams can be to strengthen empowering leadership than to promote traditional charisma or directive leadership. Knowledge sharing at a team level has the direct effect of improving project performance by providing information and knowledge regarding the related project, but on the other hand it contributes to making stronger the path of associating absorptive capacity with project performance.

The impact of empowering leaderships on team performance of IT project has received less research attention. Little prior research has carried out such an integrated analysis in IT service context. This study contributes to knowledge management research by identifying a key antecedent of knowledge sharing.

This chapter aims to build a systematization of the current theoretical and empirical academic contributions on smart working (SW) in the organization studies domain and to examine which are the main paths that researchers are concerning themselves with, with specific attention being paid to the new meaning that the work itself has acquired in the model proposed by SW. Particular consideration is devoted to an analysis of the characteristics of the present debate on this construct and the meaning of SW, identifying two different – and contrasting – approaches: one considers it as a totally new concept; the other is notable for its continuity with previous arrangements such as telework. Further, some relevant concepts, strictly related to that of SW in working environments are considered. In the last part of the chapter, some key points for further research are proposed to create stimuli for discussion in the community of organization studies and HRM scholars and among practitioners, given from the perspective of deepening the change in progress, the relevance for which there is general consensus.

The focus in ICT development has shifted from performance to maximization of tangibility. In particular, the interests in emotion-based services increase and more attention is paid to improving the quality of service and maximizing tangibility. Hence, it is necessary to model human emotions and utilize inferred emotions for services in order to enhance the quality of emotion-based personalized services. To this end, this study aims to model personalized emotional space by means of V-A emotion model and to suggest a fuzzy-based emotion inference method.

This study takes advantage of V-A emotion model, AHP and fuzzy integral technique to implement an emotion inference based on the quantitative evaluation and systematic expression of human emotions. By means of AHP, the personalized V-A emotion model was established. Fuzzy measure and Choquet integral methods were applied for emotion inference based on the inputs of valence and arousal (V-A) values, with the results evaluated in an experiment.

Thayer's emotion model structures 12 human emotions in reference to V-A values. This structure, however, may differ depending on individuals, and thus a method to measure and express it appropriately is necessary. This study evaluates the relative weight of 12 emotions based on AHP and regularizes them to compose the personalized V-A emotional space by drafting the V-A model. In addition, fuzzy integral-based emotion inference has been tested in reference to the V-A values on the established V-A emotion space.

Fuzzy integral-based emotion inference has been tested in reference to the V-A values on the established personalized emotion space.

Implementation of intelligent electronic needles is presented that can judge the physical conditions of a patient and be applied anytime anywhere with the information of pulse waves sent from a remote place through the web. The paper aims to discuss these issues.

The present research developed a web-based system of electronic acupuncture using fuzzy rules. Anybody can use his or her smart phone and select a file in the menu that automatically calculates optimal points and time of acupuncture.

A set of experiments found improvement of the time of acupuncture by 25 percent.

The present research developed a web-based system of electronic acupuncture using fuzzy rules. Anybody can use his or her smart phone and select a file in the menu that automatically calculates optimal points and time of acupuncture. A set of experiments found improvement of the time of acupuncture by 25 percent.

This paper holds a big advantage to enable to recognize faces, regardless of time and place. Also this provides an independent performance of smart phone, because of its process by a computer of third party not by that of the mobile device. In addition, it is desirable to minimize the expensive operations in mobile device with constraint computational power (i.e. battery consumption). Thus, the authors exclude the process of transmission failed from the input device. The paper aims to discuss these issues.

In this paper, the authors have proposed a new face detection and verification algorithm, based on skin color detection to enable extracting the face region from color images of the mobile phone. And then extracted the facial feature as eigenface, verified whether or not the identity of users is right, applied support vector machine to the region of detected face.

The experimental results for two datasets show that the proposed method achieves slightly higher efficiencies at the detection and verification of user identity, compared with other method, where varying lighting conditions with complex backgrounds, according to be fast and accurate than any other previous methods.

The proposed algorithm enables to implement fast and accurate search using triangle-square transformation for detection of human faces in a digital still color images, obtained by the mobile device camera under unconstraint environments, using advanced skin color model and characteristic points in a detected face.

This research can contribute to design and develop wireless sensor network (WSN) routing algorithm based on the comparison data. The paper aims to discuss these issues.

This research is a tree-based routing algorithm in order to reduce routing cost on WSNs.

The approach is more efficient than other cluster-based approach.

Originality is high because there is no other paper about cost effect and energy saving both considering at the same time.

This paper suggested a model for sensing security at the cloud computing environment using the cognitive radio (CR) system. The proposed sensing security technique at the cloud situation enables the authors to estimate the distance of the IT equipment by means of the perceived information, namely the value of interfering temperature from the spectrum sensing. The paper aims to discuss these issues.

In this paper, how IT devices can communicate within the current frequency is studied. Based on this, techniques for CR cloud network system of the sensing security are proposed.

Based on the information of this value of distance, the user of the electric wave cognition could maintain security up to the maximum level within the range beyond intervention influence, deciding the maximum transmission of electricity which is available.

The proposed technique in this paper may lead the user perceiving the electric wave to select the adapted modulation level by considering the transmitted electricity and the interference temperature level of the given channel situation.

The extended TOPSIS approach including the analytical hierarchy process method is used to solve business recovery priority decision problem mixed with interval data and exact data of an insurance company. The paper aims to discuss these issues.

According to the concept of TOPSIS, the authors construct the normalized decision matrix and the weighted normalized decision matrix. Using the vertex method, the authors calculate the distance of each alternative from the positive or negative ideal solution.

The proposed TOPSIS algorithms on interval data provide a useful framework for systematic risk assessment that an incident or disaster manager can use to prioritize recovery during business discontinuity.

As a managerial implication, the proposed method can be applied to any case for providing information for risk management decision-making in industrial and service organizations. As for a future direction, other decision-making methods can be included in the methodology to ensure more integrated and/or comparative study.

The ratings and weights of the criteria in the decision problem are assessed by means of interval data. The use of the interval data in decision problem is highly beneficial when performance values cannot be expressed by means of numerical values. The authors extended the TOPSIS approach for solving MCDM problem with interval data as well as exact data.

The authors have shown how TOPSIS method on interval data can be used to provide priority decision for business recovery of an insurance company. The proposed method provides the authors a useful way to deal with a business recovery problem, where the values of evaluating items are represented by generalized exact numbers or interval-valued numbers.

The proposed approach has the potential to resolve incident and disaster management and can be applied to the implementation of business recovery plan for business continuity.

Applying social commitments theory, this paper aims to study the effect of shared responsibility as a structural characteristic of project teams to foster tacit knowledge sharing with the mediating role of affective bonding. Besides, the moderating effect of normative conformity is also examined.

The quantitative method was applied through surveying senior auditors representing 263 audit teams in Vietnam to examine the model.

This study found that in the joint projects, when team members perceive high shared responsibility for both success and failure, the affective bonding among them are generated. The affective bonding becomes salient to tacit knowledge sharing only when the team members perceive high obligations to conform the general knowledge sharing norms and the serial reciprocity norms.

This study provides the evidence for partial confirmation and expansion of the social commitments theory. The practical takeaways are provided for managers of project-based organizations in the social aspects for facilitating sharing culture.