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The dual immersion (DI) model of bilingual education, which focuses on educating language-minority and majority students side by side using the two languages in roughly equal proportions, is gaining popularity. And yet, students with disabilities – even those who are already multilingual – are routinely steered away from such programs in favor of English-only special education options. The paper aims to discuss these issues.

This paper explores the potential benefits and challenges associated with including multilingual students with autism in DI classrooms, beginning with an exploration of literature related to students with autism who are also multilingual learners (MLLs) (irrespective of educational placement), followed by a small body of literature on the inclusion of students with disabilities in general in DI programs, and finally an analysis of the characteristics of DI classrooms to extrapolate about the ways in which this environment might be both supportive of and challenging for students with autism.

The analysis reveals that DI programs are simultaneously well positioned (theoretically) and ill equipped (practically) to effectively support MLLs who are also on the autism spectrum.

In spite of mounting evidence that being multilingual may advantage children with autism, very little scholarship has even raised the question of whether students with autism might benefit from participation in bilingual programs where academic instruction is delivered in two languages (Beauchamp and MacLeod, 2017; Durán et al., 2016; Marinova-Todd et al., 2016; Seung et al., 2006). This paper identifies practical implications related to including students with autism in DI programs and suggests directions for future research.

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.

In many countries that allow unsolicited proposals (USPs) for public–private partnership (PPP) projects, incentives are awarded to the initial proponent of the USP projects during the tendering process as rewards for initially making a proposal. Because of such a reward system, including the bonus system, USPs are commonly known to involve fewer tender participants. This paper aims to investigate the empirical relationship between the number of tender participants and the institutional factors of PPPs. Specifically, two institutional factors are examined: the use of USPs and the bonus system for initial USP proponents.

The ordinary least squares (OLS) and Poisson regression analysis is used in this study to analyze PPP data in South Korea.

This paper demonstrated that USP projects have fewer bidders participating in tenders than solicited projects. Meanwhile, the analysis showed that the bonus system as another component of the institutional framework did not account for the number of bidders in tendering. In the analysis by three different facility types (“Roads,” “Environmental facilities” and “Other” types) of whether the bonus system discouraged participation in the bidding, the authors found heterogeneous responses among the types. For “Roads” and “Other” types of projects, the existence of the bonus system reduced the number of bidders for USP projects, while for “Environmental facilities,” there was no negative relationship between bonus points and the number of bidders. In the analysis of whether there were fewer bidders when no bonus points were awarded, there was no statistically significant difference in the number of bidders for “Roads” and “Environmental facilities.”

This study shows the possibility that other institutional factors apart from bonus points affect competition. The characteristic factors of USPs can affect the decision to participate in the tender from the perspective of potential bidders.

Recent studies on USPs have mainly focused on the strategies that ensure the effective management of USPs for PPP implementation. However, quantitative effects of USPs on the tendering process have not yet been addressed. The quantitative effect refers to something that may be estimated by quantity or that relates to the describing or measuring of quantity, such as the present attempt to account for the number of bidders.

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.

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.

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.

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 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.

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.

The purpose of this study is to gain a better understanding of the employment figures in the labour market after the two Korean financial crises (1997 and 2008), focusing on the gender gap across different characteristics. Based on several data points, a general trend becomes evident whereby, as companies retrenched, they shifted the demographics of their employees to those perceived as most valuable, i.e. workers with university educations. However, when distinguished by gender, it is evident that their priorities changed. This discovery suggests that as the world faces another global health crisis (COVID-19) with its associated impact on organisational retrenchment, the gender gap in Korea could widen further.

The analysis was conducted by applying a simple compounded average growth rate (CAGR) analysis to determine the impact of the two crises on employment by the educational level.

A general trend becomes evident whereby, as companies retrenched, they shifted the demographics of their employees to those perceived as most valuable, i.e. workers with university educations. However, when distinguished by gender, it is evident that their priorities changed.

Secondary data were used for the analysis as data for unemployed, who had given up looking for work, were not available.

Managers can use the findings when making decisions about laying-off staff during times of financial/economic crisis.

There is a perceived negative impact upon highly educated Korean women.

The paper advances the pay gap literature by providing evidence from Korea. CAGR analysis has never been used previously in analysing the pattern of labour market data to reveal gender discrimination. With a global health crisis (COVID-19) with its associated impact on organisational retrenchment, the gender gap in Korea could widen further.