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Inefficiency dilemmas in project governance are caused by various risks arising from the characteristic of construction supply chain projects, such as poor project performance, conflicts between stakeholders and cost overrun. This research aims to establish a fuzzy synthetic evaluation (FSE) model to analyze construction supply chain risk factors. Corresponding risk mitigation strategies are provided to facilitate the improvement performance of ongoing construction supply chain projects.

A literature review is utilized to reveal the deficiencies of construction supply chain risk management. Thus, a total of five hundred (500) questionnaires are distributed to construction professionals, and four hundred and thirty-five (435) questionnaires are recovered to obtain the evaluation data of construction professionals on critical risk factors. Additionally, the FSE is used to analyze and rank the significance of critical risk factors. Finally, this research discusses nine critical risk factors with high weight in the model, and explains the reason for the significance of critical risk factors in the construction supply chain.

The questionnaire results show that the thirty-one (31) identified critical risk factors are verified by related practitioners (government departments, universities and research institutions, owners, construction units, financial institutions, design units, consulting firms). Thirty-one (31) identified critical risk factors are divided into common risks, risks from contractors and risks from owners. The most significant factors in the three categories, respectively, are “political risks,” “owner's unprofessional” approach and “cash flow.” Managing these risks can facilitate the development of the construction supply chain.

This paper expands the research perspective of construction supply chain risk management and complements the risks in the construction supply chain. For practitioners, the research result provides some corresponding measures to deal with these risks. For researchers, the research result provides the direction of construction supply chain risk treatment.

This research aims to use meta-analytical structural equation modeling to look into how hospitality employees use technology at work. It further investigates if the relationship between the constructs of the technology acceptance model (TAM) is moderated by job level (supervisory versus non-supervisory) and different cultures (eastern versus western).

In total, 140 relationships from 30 empirical studies (N = 6,728) were used in this study’s data analysis in accordance with the preferred reporting items for systematic reviews and meta-analysis.

The findings demonstrated that perceived usefulness had a greater influence on “user attitudes” and “acceptance intention” than perceived ease of use. This study also identified that the effect sizes of relationships among TAM constructs appeared to be greater for supervisory employees or in eastern cultures than for those in non-supervisory roles or western cultures.

The findings provide valuable information for practitioners to increase the adoption of employee technology. Practitioners need to focus on the identification of hospitality employee attitudes, social norms and perceived ease of use. Moreover, hospitality practitioners should be cautious when promoting the adoption of new technologies to employees, as those at different levels may respond differently.

This is the very first empirical investigation to meta-analyze the predictive power of the TAM in the context of hospitality staff technology adoption at the workplace. The findings also demonstrated differences in the predictive power of TAM constructs according to job level and cultural differences.

With the growing concern of various sectors of society regarding environmental issues and the promotion of sustainable development, green technology innovation is generally considered to be conducive to the long-term development of enterprises. However, because of the existence of agency problems, managers may have shortsighted behaviors. Then how will managers' shortsighted behaviors affect enterprises' green technology innovation?

This paper uses machine learning-based text analysis methods to construct a manager myopia index based on the data from A-share listed companies on the Shanghai and Shenzhen Stock Exchanges from 2015 to 2020. We examine the impact of manager myopia on green technology innovation in companies.

Our study finds that manager myopia significantly inhibits green technology innovation in companies. However, when multiple large shareholders coexist and the proportion of institutional investors' holdings is high, it can alleviate the inhibitory effect of manager myopia on green innovation. Heterogeneity tests show that the impact of manager myopia on green technology innovation is relatively significant in non-state-owned and manufacturing companies, as well as in the electricity industry. Robustness tests demonstrate that our conclusions remain valid after using propensity score matching to eliminate endogeneity problems.

From the perspective of corporate governance, this paper incorporates managers' shortsightedness, multiple large shareholders and institutional investors' shareholding ratios into the same logical framework, analyzes their internal mechanisms, helps improve corporate governance, enhances green innovation capabilities and has strong implications for the implementation of national innovation-driven development strategies and the achievement of “carbon peak” and “carbon neutrality” targets.

There are two objectives in this study. First, testing the relationship between person-organization fit (P-O fit) and person-job fit (P-J fit) on turnover intentions. Second, examining the moderating role of kinship on the relationship between P-O fit and P-J fit on turnover intentions.

This research was conducted at private universities in Lampung with a total of 282 respondents. The analytical method used to test the research hypothesis was moderated regression analysis (MRA)

There are five proposed hypotheses, and all of them are supported. The findings of this study reveal that P-O fit and P-J fit are predictors that are negatively related to turnover intentions. Furthermore, kinship moderates the relationship between P-O fit and P-J fit on turnover intentions.

This study adds to the literature on turnover intentions in universities and underscores some important advances and contributions in developing a human resource management theory related to social capital. Based on the findings of this study, organizations are expected to pay more attention to P-O fit, P-J fit and kinship to reduce the level of turnover intentions. Employers are expected to choose people who match the organization's values and work and create interpersonal relationships between them to reduce turnover intentions, which mean the findings extend the theory of attraction-selection-attrition (ASA), social exchange and social capital. These findings provide theoretical and pragmatic insights for human resource management practitioners and relevant stakeholders.

Practically, the concepts of P-O fit and P-J fit are important to be considered by the leadership because creating a suitable environment for employees will trigger positive behaviors. Leaders must find the right people for the environment and the right environment for the employees. Furthermore, this study has implications for a relational approach to overcoming turnover intentions in the workplace. The relational approach is in the form of kinship. Organizations that encourage opportunities for social interaction among members can reduce employee turnover and tend to create positive social capital.

In social practice, kinship connects people in an organization. The existence of kinship in an organization helps academicians get relational and emotional support from coworkers and superiors so that they will feel a family relationship that may not be found in other organizations, which eventually reduces turnover intentions.

The originality of this study lies in investigating the moderating role of kinship on the relationship between P-O fit and turnover intentions. Kinship in this study is different from research in general. “Kinship” here is based on a kinship perspective because of the peculiarities of Asian culture, especially in Indonesia, namely kinship without blood relations and marriage.

With the rapid development of the sharing economy in manufacturing industries, manufacturers and the equipment suppliers frequently share capacity through the third-party platform. This paper aims to study influences of manufacturers sharing capacity on the supplier and to analyze whether the supplier shares capacity as well as its influences.

This paper deals with conditions that the supplier and manufacturers share capacity through the third-party platform, and the third-party platform competes with the supplier in equipment sales. Considering the heterogeneity of the manufacturer's earning of unit capacity usage and the production efficiency of manufacturer's usage strategies, this paper constructs capacity sharing game models. Then, model equilibrium results under different sharing scenarios are compared.

The results show that when the production or maintenance cost is high, manufacturers sharing capacity simultaneously benefits the supplier, the third-party platform and manufacturers with high earnings of unit capacity usage. When both the rental efficiency and the production cost are low, or both the rental efficiency and the production cost are high, the supplier simultaneously sells equipment and shares capacity. The supplier only sells equipment in other cases. When both the rental efficiency and the production cost are low, the supplier’s sharing capacity realizes the win-win-win situation for the supplier, the third-party platform and manufacturers with moderate earnings of unit capacity usage.

This paper innovatively examines supplier's selling and sharing decisions considering manufacturers sharing capacity. It extends the research on capacity sharing and is important to supplier's operational decisions.

This study aims to highlight the influence of co-creation experience (CCE) on tourists’ citizenship behavior (TCB), emphasizing the Indonesian ecotourism sector during the post-COVID pandemic.

By using a judgmental sampling, data were collected from 150 visitors who visits Indonesian ecotourism resort and acquired the wildlife experience through co-creation process. To evaluate the relationship model, partial least squares-structural equation modeling by SmartPLS 3rd version was used in this study.

The result indicated that CCE in terms of Indonesian ecotourism had an effect on involvement (INV) and satisfaction (SAT). Result ascertain INV and SAT direct effect on TCB. Multigroup analysis indicated that perceived risk of COVID-19 could moderate insignificantly the relationship among INV, SAT on TCB.

This study focuses on CCE, INV, SAT and TCB in Indonesian ecotourism with wildlife attraction and contributes an insight for tourism research; thus, the results cannot be generalized for other ecotourism worldwide.

The proposed model of this study suggests the need to review the current condition of citizenship behavior at destination level, especially regarding to cleanliness and crowd controlling on post-COVID pandemic to maintain tourists’ health and safety while traveling.

Achieving TCB in different types of destination (ecotourism) requires specific development models concerning environmental conditions.

Though CCE, INV, SAT and TCB have identified as main topics for tourism research especially in ecotourism sector, the related factors of TCB in post-COVID-19 era are remain limited.

本研究旨在强调共创体验（CCE）对游客公民行为（TCB）的影响, 重点是后疫情期间印尼生态旅游中的游客公民行为（TCB）。

通过判断抽样, 从访问印尼生态旅游胜地的 150 名游客收集了数据, 并通过共创过程获得了其野生动物体验。 为了评估关系模型, 本研究使用了 SmartPLS 第三版的偏最小二乘结构方程建模 (PLS-SEM)。

结果表明, 印尼生态旅游的 CCE 对参与度（INV）和满意度（SAT）有影响。 结果确定了INV和SAT对TCB的直接影响。 多组分析表明, covid-19 的感知风险对 INV 和 SAT 与 TCB 的关系影响不大。 本研究还描述了中介作用。

该研究重点关注印尼生态旅游中野生动物吸引力的CCE、INV、SAT, TCB, 为旅游研究提供见解; 因此, 研究结果不能推广到全世界其他生态旅游。

该研究提出的模型表明, 有必要审查目的地层面公民行为的现状, 特别是在新冠大流行后的卫生和人群控制方面, 以维护游客在旅行时的健康和安全。

在不同类型的目的地（生态旅游）中实现游客的公民行为需要针对不同的环境条件而选择开发模式。

尽管 CCE、INV、SAT 和 TCB 是旅游研究中, 特别是在生态旅游领域的重点研究对象, 但在后疫情旅游过程中, 其与目的地公民行为相关的因素研究仍然有限。

Este estudio pretende poner de relieve la influencia de la experiencia de cocreación (CCE) en el comportamiento ciudadano de los turistas (TCB) haciendo hincapié en el sector del ecoturismo indonesio durante el periodo post-pandémico de la COVID-19.

Mediante el uso de un muestreo de juicio, se recopilaron datos de 150 visitantes que visitaron un centro de ecoturismo en Indonesia y adquirieron la experiencia de la vida silvestre a través del proceso de co-creación. Para evaluar el modelo de relación, en este estudio se utilizó el modelo de ecuaciones estructurales de mínimos cuadrados parciales (PLS-SEM) de SmartPLS 3.^a versión.

El resultado indicó que la CCE en términos de ecoturismo indonesio tuvo un efecto sobre la implicación (INV) y la satisfacción (SAT). El resultado determinó que INV y SAT tienen un efecto directo sobre el TCB. El análisis multigrupo indicó que el riesgo percibido del covid-19 modera de forma insignificante la relación INV y SAT con el TCB. Papel mediador también descrito en este estudio.

el estudio se centra en CCE, INV, SAT, TCB en el ecoturismo indonesio con atracción de vida silvestre y aporta información para la investigación turística; por lo tanto, los resultados no pueden generalizarse para otros ecoturismos en todo el mundo.

el modelo propuesto en el estudio sugiere la necesidad de revisar la condición actual del comportamiento ciudadano a nivel de destino, especialmente en lo relativo a la limpieza y el control de multitudes en la etapa poscovid para mantener la salud y la seguridad de los turistas durante el viaje

lograr un comportamiento ciudadano de los turistas en diferentes tipos de destino (ecoturismo) requiere modelos de desarrollo específicos en relación con las condiciones ambientales.

aunque CCE, INV, SAT y TCB se identifican como una prioridad para la investigación turística, especialmente en el sector del ecoturismo, los factores relacionados en el curso del turismo post-covid-19 que se relacionan con la ciudadanía a nivel de destino siguen siendo limitados.

The performance of oil-filled pressure cores is very much affected by the corrugated diaphragm and the oil filling volume. The purpose of this paper is to show the effects of different corrugated diaphragms, different oil filling volumes and different treatments of the corrugated diaphragms on the performance of pressure sensors.

Pressure-sensitive cores with different diaphragm diameters, different diaphragm ripple numbers and different oil filling volumes are produced, and thermal cycling is introduced to improve the diaphragm performance, and finally the performance of each pressure-sensitive core is tested and the test data are analyzed and compared.

The experimental results show that the larger the diameter of the corrugated diaphragm used for encapsulation, the better the performance. For pressure-sensitive cores using smaller diameter corrugated diaphragms, the performance of one corrugation is better than that of two corrugations. When the number of corrugations and the diameter are the same size, the performance of the outer ring of the diaphragm with concave corrugations is better than that with convex corrugations. At the same time, the diaphragm after thermal cycling treatment and appropriate reduction of encapsulated oil filling can improve the performance of the pressure-sensitive core.

By exploring the effects of corrugated diaphragm and oil filling volume on the performance of oil-filled pressure cores, the design of oil-filled pressure sensors can be guided to improve sensor performance.

Flexibility and efficiency are dual attributes of the organizational structure that are crucial for project-driven enterprises to achieve sustainable development in a dynamic environment. However, there is a lack of research on the patterns by which the dual attributes of a project-driven enterprise’s organizational structure affect business model innovation. Employing organizational theory, this study aims to assess the mediating mechanisms and dynamic capabilities through which the dual attributes of the organizational structure influence business model innovation in project-driven enterprises.

Data were collected from 242 employees from four project-driven companies across 26 cities (e.g. Beijing, Tianjin, Guangzhou and Shenzhen) in China. Structural equation modeling revealed the relationship between organizational structure’s dual attributes and business model innovation.

The findings show that the dual attributes (flexibility and efficiency) of the organizational structure have positive impacts on business model innovation. Moreover, dynamic capabilities mediate the relationship between the dual attributes and business model innovation in project-driven enterprises.

This study provides contributions to innovation research in the context of project-driven enterprises by revealing the influence of organizational structure on business model innovation through the firms’ dynamic capabilities. Such knowledge can enable managers of project-driven enterprises to develop effective interventions to promote business model innovation.