Search results

The purpose of this study is to explore how gender influences peer assessment in team-building activities in China.

A nine-player Werewolf game was adopted to conduct the experiment. Nine abilities were defined to evaluate players’ performances. Before the game, players filled out a self-assessment questionnaire (five-point Likert scale). After the game, players evaluated other game members’ performances using the same questionnaire. Data were analyzed using linear regression.

The results showed that gender bias clearly existed in team-building activities, with men more likely to receive better peer assessment than women. In addition, when women presented themselves as actively as men did, they received less favorable evaluations than men, whereas their failures were more likely to be exaggerated.

This study may help build harmonious teams for gender equality, and we give practical suggestions respectively from the perspective of female employees, their managers, and their companies.

Given the importance of team-building activities in teamwork, fair evaluations of team-building performances are essential. However, gender influences on peer assessment in team-building activities in China remain unclear. This study adds new and important knowledge to research on gender bias in teams.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Results showed men were more likely to receive positive peer assessments than women. Even when women presented themselves as “actively” as men, they received less favorable evaluations. The results also showed women’s failures were more likely to be exaggerated.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

The study aims to use DfX to develop a comprehensive database of smart and resilient indicators that assists city administrators and authorities alike. The Smart and Resilient Cities Indicators Bank (SRCIB) will identify the level of smart and resilience determinants that will simultaneously provide ways to improve the city's infrastructure to meet smart and resilient objectives.

Design of excellence (DfX) is adopted in dissecting from four best indicators of established systems, and a database of indicators is developed and specified in diverse ways. A new indicator system is then created for smart and resilient cities.

The proposed indicator bank consists of four layers consisting of dimension, sub-dimension, key issues and the number of indicators resulting from four different indicator systems that the study have analysed.

The proposed indicator bank is an exploratory approach that needs to be tested in a real scenario because the urban systems are complex inter-related systems with too many variables that may influence actual outcomes. Thus, the proposed indicators bank does not attempt to quantify or solve related urban issues commonly address in smart and resilient city concepts but more to enhance the management of attaining towards smart and resilient specifications.

The proposed indicator bank is an exploratory approach that needs to be tested in a real scenario because the urban systems are complex inter-related systems with too many variables that may influence actual outcomes. Thus, the proposed indicators bank does not attempt to quantify or solve related urban issues commonly address smart and resilient city concepts but more to enhance the management of attaining smart and resilient specifications.

The study builds a robust guide for assessing smart and resilient cities that is yet a widely accessible assessment framework. The proposed SRCIB allows local authorities and relevant stakeholders of typical cities to better manage its urban agenda towards smart and resilient city objectives when specific indicators are defined. Besides, a smart city can become resilient; likewise, a resilient city can become smart as the SRCIB is comprehensive.

This paper aims to develop a framework that could establish and further the terminology of smart city/resilient city discourse in that resilience could support urban “smartness”, a term that is widely argued being not easily measured nor quantifiably assessed.

The qualitative approach was employed, and based on selected keywords, a systematic literature review was carried out to understand the main themes within the smart city and resilient city concepts databases. Upon screening, 86 papers were used and synthesised through the meta-synthesis method using both synthesis approach, meta-aggregation and meta-ethnography that systematically identifies both properties and characteristics, to build an innovative framework as an indicator-based smart/resilience quantification model.

Two novel frameworks are proposed, smart resilient city (SRC) and resilient smart city (RSC), as guidelines regulatory that establish a city's smartness and resilience.

The quantitative research phase is not provided as the framework builds on the exploratory approach in which the model is proposed through the postulation of data definitions.

Although the study's scope was limited to the city, proposed frameworks may be interpreted for other contexts that deal with the topic of resilience and smart.

The established framework proposal would encourage further exploration in context, serving as an inspiration for other scholars, decision-makers, as well as municipalities to keep strengthening smart city through resilience factors.

The purpose of this paper is to develop a finite volume approach for the simulation of three-dimensional two-phase (polymer melt and air) flow in plastic injection molding which is capable of robustly handling the mesh non-orthogonality and the discontinuities in fluid properties.

The presented numerical method is based on a cell-centered unstructured finite volume discretization with a volume-of-fluid technique for interface capturing. The over-relaxed approach is adopted to handle the non-orthogonality involved in the discretization of the face normal derivatives to enhance the robustness of the solutions on non-orthogonal meshes. A novel interpolation method for the face pressure is derived to address the numerical stability issues resulting from the density and viscosity discontinuities at the melt–air interface. Various test cases are conducted to evaluate the proposed method.

The presented method was shown to be satisfactorily accurate by comparing simulations with analytical and experimental results. Besides, the effectiveness of the proposed face pressure interpolation method was verified by numerical examples of a two-phase flow problem with various density and viscosity ratios. The proposed method was also successfully applied to the simulation of a practical filling case.

The proposed finite volume approach is more tolerant of non-orthogonal meshes and the discontinuities in fluid properties for two-phase flow simulation; therefore, it is valuable for engineers in engineering computations.

Building on Lambert’s (2001) work on turnover intent in law enforcement, this study examines how organizational characteristics and job attitudes along with job satisfaction, and organizational commitment affect turnover intent among Taiwanese police officers.

Data were collected from the New Taipei City Police Department (NTCPD) in the summer of 2012 via stratified random sampling (N = 1,035). Structural equation modeling was employed to examine factors affecting turnover intent.

Job satisfaction and organizational commitment reduced the risk of turnover, while job stressors and training effectiveness directly increased the risk. Worthy of note, officers with a Central Police University degree and who were married had a lower risk of turnover.

This study applies Lambert’s (2001) turnover intent model in law enforcement agencies developed in the West to a non-western policing setting. The use of SEM assures the robustness of the findings. Some noteworthy contrasts in findings from Western and non-Western settings are presented.

This study proposes integrating the perceived risk and social influence literatures on online group buying (OGB) intentions with the basic TAM variables (perceived usefulness and perceived ease of use).

Based on an empirical survey of 304 online adopters of OGB in Taiwan, the paper uses structural equation modeling to confirm the research model.

The results reveal that perceived critical mass had the largest total effect on intention to use group buying websites. The findings also indicate that perceived usefulness and a sense of virtual community (SOVC) have significant effect on OGB intention. In addition, both perceived ease of use and website quality influence perceived usefulness. As expected, perceived risk has negative effect on OGB intention.

This study only considered buying intention with regard to foodstuffs, and it is unclear whether these analytical results can be generalized to other items. Further research could apply this model to examine group coupons (such as discount vouchers for restaurants).

To sustain a successful group buying website, attention must be paid to enhancing user's SOVC, enlarging the critical mass, and lowering the perceived risk. Practitioners can apply the findings of this study to focus on the determinants of success for their online shopping websites.

Theoretically, while drawing upon TRA studies, this paper provides a model that is capable of lending an understanding of the determinants of OGB intention. From a managerial perspective, the findings indicate that webmasters can improve or manage website members' buying intentions by increasing the sense of virtual community and critical mass.

The leaders of the future will have to lead with intercultural competence and with the ability to facilitate this development of competence in others. The development of skills in undergraduate students to meet this challenge is paramount to the establishment of effective leadership for the future. Within this study, researchers address the challenge by quantitatively examining intercultural competency outcomes students derive from leadership-based study abroad experiences. For five years, researchers utilized a pre-post intercultural competency survey of student participants in a leadership education study abroad program in Zambia, Africa. Using the Intercultural Effectiveness Scale (IES), data was analyzed for seventy-eight students who participated in this five-week study abroad course. The results demonstrate statistically significant growth on students’ intercultural competency across all ten measures of dimensions and sub-scales. Recommendations provide a framework for leadership educators to employ pedagogies that influence intercultural development within study abroad as a means of developing global leadership in their students.

This paper aims to solve the disadvantages of content-based domain ontology (CBDO) and metadata-based domain ontology (MDO) and improve organization and discovery efficiency of library resources by resource ontology (RO).

The paper constructed an RO model. Methods of informetrics are utilized to reveal semantic relationships among library resources. Methods of ontology, ontology-relational database mapping (O-R mapping) and relational database modelling are utilized to construct RO. Take author co-occurrence for example, the paper demonstrated the capability of RO model.

RO not only revealed the deep-level semantic relationships of metadata of library resources but also realized totally computer-automated processing. RO improved the efficiency of knowledge organization and discovery.

Semantic relationships revealed by RO are limited to simple metadata, which makes it difficult to reveal fine-grained semantic relationships. Ongoing research focuses on the revelation of semantic relationships based on the title and abstract.

The paper includes implications for utilizing methods of Informetrics to construct ontology.

This paper proposed a standardized process of ontology construction in library resources. It may be of potential interest for anyone who needs to effectively organize library resources.