Xianmiao Li, William X. Wei, Weiwei Huo, Yi Huang, Manyi Zheng and Jinyi Yan
This study aims to build a research model from the perspectives of knowledge hiding and idea implementation to examine what factors influence idea implementation and the…
Abstract
Purpose
This study aims to build a research model from the perspectives of knowledge hiding and idea implementation to examine what factors influence idea implementation and the cross-level moderating role of team territory climate.
Design/methodology/approach
Data were collected from universities, 52 (R&D) teams in China via a two-wave survey. The final sample contained 209 team members and their immediate supervisors. Hierarchical linear modeling was used to test hypotheses.
Findings
The results indicated that individuals’ knowledge-hiding behavior had a significantly negative impact on idea implementation and creative process engagement, which played a mediating role. Team territorial climate played a cross-level moderating role between knowledge hiding and idea implementation. If team territorial climate was at a high level, then the negative connection between knowledge hiding and idea implementation would be weaker.
Research limitations/implications
Under the perspective of territorial behavior in Chinese cultural, it can help to distinguish territorial behavior and be preventive at individual and team levels. This study not only enables managers to clearly understand the precipitating factors of idea implementation but also provides constructive strategies for alleviating the negative effects of knowledge territoriality on creative process engagement and idea implementation.
Originality/value
This study constructs a cross-level model to explore the relationship among knowledge hiding, creative process engagement and idea implementation at individual and team levels in the context of Chinese R&D enterprises. Additionally, the study analyzes the influence of territoriality on idea implementation under boundary conditions.
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Aiping Jiang, Qingxia Li, Jinyi Yan, Leqing Huang and Haining Wu
The purpose of this paper is to focus on finding the optimal maintenance interval and the minimum maintenance cost for redundant system, considering environment factors.
Abstract
Purpose
The purpose of this paper is to focus on finding the optimal maintenance interval and the minimum maintenance cost for redundant system, considering environment factors.
Design/methodology/approach
The authors propose a decision model with environment-based preventive maintenance for the repairable redundant system. Referring to the k-out-of-n model and Proportional Hazard Model, the reliability analysis is completed for the redundant system affected by internal and external issues. Meanwhile, the maintenance cost for the redundant system is divided into two categories: the fixed maintenance cost involving whole system replacement at the time of system failure, and the cost to replace failure components when the system still functions.
Findings
Upon the required reliability analysis, an optimal maintenance interval that minimizes the average maintenance cost per unit time is identified. The simulation results indicate that the optimal maintenance interval with consideration of environmental factors is significantly shorter than that without consideration of these factors, with the maintenance cost increase within 10 percent.
Practical implications
The redundant systems have widely been used in industries including the aero craft control system and warship power system. The model could be applied in the more real case considering the types of components and the operation environment, and help production managers better maintain machines by increasing the safety and reliability of the redundant model with the more frequent inspection.
Originality/value
Previous research of redundant system always focuses on internal degradation, while ignoring the reliability analysis for a redundant system with various multiple components under the influence of environment. However, this work could fill the theoretical gap, i.e. simultaneously consider both environmental and internal factors for a redundant system with non-homogeneous components. Meanwhile, the proposed superior model increases the reliability and safety of the k-out-of-n model with reasonable cost. Production managers could benefit a lot from this as well.
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Kun Zhang, Jinyi Zhang, Chunlin Li, Yan Jiao and Ying Wang
This study aims to conduct an empirical investigation of differing perceptions of nine types of urban space and nine visual elements among tourists in destination using a computer…
Abstract
Purpose
This study aims to conduct an empirical investigation of differing perceptions of nine types of urban space and nine visual elements among tourists in destination using a computer vision (CV) approach.
Design/methodology/approach
The data for this study was extracted from YFCC 100 M dataset. Nine types of urban space in Beijing were initially identified using a scene recognition model. Subsequently, a semantic segmentation model was applied, which yielded substantial evidence relating to nine visual elements that were used to elicit differing perceptions among tourists from different continents.
Findings
Tourists from three continents had different perceptions about corridors, old buildings, overlooks and traffic spaces, reflecting their cultural convention. Asians, Europeans and North Americans diversely gazed at the landscape element of buildings, foliage, sky and people in urban space. All those provided evidence to contribute to the tourist gaze theory's construction.
Originality/value
This study firstly depicted how tourists perceive the tourism symbol of urban space. The novel approach of employing two CV models offer methodological insights to tourism research relevant to visual perception.
游客对城市空间的感知:计算机视觉途径
目的
本研究采用计算机视觉方法, 探究游客对旅游目的地九种城市空间类型及九种视觉元素的感知差异。
设计/方法/方法
本研究数据提取自YFCC 100M图片数据集。首先, 利用场景识别模型识别了游客图片中的九种城市空间类型。其次, 应用语义分割模型识别了游客图片的九个视觉元素。这些分析结果被用于探究不同大洲游客的视觉感知差异。
研究发现
来自不同大洲的游客对城市空间有不同的感知偏好。亚洲人更喜欢拍摄自己与著名的城市建筑, 欧洲人和北美人更喜欢自然元素, 如水、树叶和天空。不同大洲游客对视觉元素的偏好佐证了旅游凝视理论。
创新点
本研究选取了独特的城市空间为研究对象, 来验证游客凝视理论。此外, 两种计算机视觉模型为旅游研究提供了新的方法论视角。
La percepción de los turistas del espacio urbano: Un enfoque de vision artificial
Resumen
Diseño/metodología/enfoque
Los datos para este estudio se extrajeron del conjunto de datos YFCC 100 M. Inicialmente se identificaron nueve tipos de espacio urbano en Pekín mediante un modelo de reconocimiento de escenas. Posteriormente, se aplicó un modelo de segmentación semántica, que aportó pruebas sustanciales en relación con nueve elementos visuales que se utilizaron para suscitar percepciones diferentes entre turistas de distintos continentes.
Objetivo
El objetivo de este estudio es llevar a cabo una investigación empírica sobre las diferentes percepciones de nueve tipos de espacio urbano y nueve elementos visuales entre los turistas en destino, utilizando un enfoque de visión artificial (CV).
Resultados
Los turistas de tres continentes tenían percepciones diferentes sobre los pasillos, los edificios antiguos, los miradores y los espacios de tráfico, lo que refleja su convención cultural. Los asiáticos, los europeos y los norteamericanos observaron de forma diversa el elemento paisajístico de los edificios, el follaje, el cielo y las personas en el espacio urbano. Todos ellos aportaron pruebas para contribuir a la construcción de la teoría de la mirada turística.
Originalidad/valor
Este estudio describe por primera vez cómo los turistas perciben el símbolo turístico del espacio urbano. El novedoso enfoque de emplear dos modelos de vision artificial ofrece conocimientos metodológicos para la investigación del turismo relacionados con la percepción visual.
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Renhuai Liu, Steven Si, Song Lin, Dean Tjosvold and Richard Posthuma