Search results

This study investigates the impact of network positions on inter-team conflicts and project success in megaprojects.

Network position is measured with centrality and structural holes. Substantive conflict and affective conflict reflect inter-team conflicts. A questionnaire survey was implemented in Chinese megaprojects, and 309 valid questionnaires were collected. The data were analyzed using structural equation modeling and bootstrapping methods.

The results show that centrality negatively impacts project success, while the presence of a team in a structural hole has no significant impact on project success. Centrality is negatively related to substantive conflict and is positively related to affective conflict. The team in a structural hole has a positive effect on substantive conflict and a negative effect on affective conflict. Substantive conflict and affective conflict have positive and negative effects on project success, respectively. The effect of network position on project success is mediated by inter-team conflict.

This research provides a reference for megaproject managers to better conduct network governance, manage inter-team conflict, and successfully manage projects. The study did not investigate the effects of changes in teams' network positions on project success. Future research should explore this facet of megaprojects.

This research adds to existing research on network position, and reveals that project network governance is important for megaproject success. This provides a new direction for megaproject management. Furthermore, the results validate constructive and non-constructive roles and the mediating role of inter-team conflict. This complements the literature on conflict management, providing a reference for megaproject managers when managing inter-team conflict.

Frequent renegotiations within public-private partnership (PPP) have been recognised and affect project efficiency. Literature has focussed on diverse issues associated with renegotiation within PPP, especially in Latin America and Europe. However, a systematic summary what they have already provided appears lacking. Thus, the paper aims to conduct a critical review of publications concerning PPP renegotiation and explore the status quo, future interests and gaps in research.

This study carried out a four-phase literature review research framework to identify the quality PPP-renegotiation articles published from 2003 to 2020. Assessing the full articles for eligibility by providing a structured summary including: background; objectives; data sources; study appraisal; results; limitations; conclusions and implications of key findings. After that, filtering papers associated with PPP renegotiation in terms of the structured summary, and a total of 60 research papers were selected in the database of web of science and Scopus for review.

Methods adopted by researchers, research topics and theoretical foundations of PPP renegotiation research in different disciplines were identified through content analysis. Amongst the popular research topics identified were renegotiation factors, the outcomes with renegotiations, the framework to deal with renegotiations and contract design dealing with renegotiation based on rigid or flexible contracts.

This study contributes to the current body of PPP knowledge by revealing the research trend in the past 20 years. It also points out the directions that the renegotiations of PPP research may go towards in the future. Moreover, this study is very valuable in understanding how governments and concessionaires effectively handle renegotiations.

China’s rapid pace of urbanization has resulted in millions of rural residents migrating from rural areas to urban areas for better job opportunities. Due to economic pressures and the nature of China’s demographic policies, many of these migrants have been forced to leave their children with relatives – typically paternal grandparents – at home in the countryside. Thus, while income for most migrant families has risen, a major unintended consequence of this labor movement has been the emergence of a potentially vulnerable sub-population of left-behind children (LBCs). The purpose of this paper is to examine the impacts of parental migration on both the academic performance and mental health of LBCs.

Longitudinal data were drawn from three waves of a panel survey that followed the same students and their families – including their migration behavior (i.e. whether both parents, one parent, no parent migrated) – between 2015 and 2016. The survey covers more than 33,000 students in one province of central China. The authors apply a student fixed-effects model that controls for both observable and unobservable confounding variables to explicate the causal effects of parental migration on the academic and mental health outcomes for LBC. The authors also employ these methods to test whether these effects differ by the type of migration or by gender of the child.

The authors found no overall impact of parental migration on either academic performance or mental health of LBCs, regardless of the type of migration behavior. The authors did find, however, that when the authors examined heterogeneous effects by gender (which was possible due to the large sample size), parental migration resulted in significantly higher anxiety levels for left-behind girls. The results suggest that parental migration affects left-behind boys and girls differently and that policymakers should take a more tailored approach to addressing the problems faced by LBCs.

The main contributions of this paper come from the large and representative sample, as well as the causal effects analysis of being left-behind on both academic performance and mental health. First, the paper uses comprehensive panel data from a representative and populous province in China, and the sample size is the largest one among LBC-related papers to the authors’ knowledge. Second, the paper separately examines the causal effects on the student outcomes of different migration strategies. Third, the paper analyzes the heterogeneous effects of different migration strategies on LBC gender. The authors believe that the paper makes a key contribution to the literature.

This paper aims to explore the intermediary role of marketing dynamic capability (MDC) in the relationship between customer knowledge management (CKM) and product innovation performance (PIP).

A conceptual model is proposed and a survey instrument is developed. The model is tested empirically in an organizational buyer/seller setting using a survey among middle and top management of firms engaged in business-to-business relationships within high-tech industries in China.

Results show that MDC fully mediates the relationship between CKM and PIP. Empirical findings thus demonstrate that CKM is related to improved firm PIP through the deployment of firm-specific MDCs.

The study provides clarification for a unique distinction between organizational learning and dynamic capabilities. Findings suggest that knowledge creation occurs within the scope of CKM, while the analytical and perceptual processes that lead to insights and redeployment of firm resources fall under the umbrella of MDCs.

Dynamic capabilities play an essential role in transforming the firm’s knowledge resources to create new configurations in response to market needs. Hence, this study reinforces the role of marketing decision-makers with appropriate decision-making power who, in an ongoing cooperation with other functional areas, are able to adapt and redeploy resources to reflect environmental changes and implement marketing strategy decisions.

This study contributes to the literature by addressing simultaneously the relationship between CKM, MDC and PIP. Specifically, the study demonstrates the mediating influence of MDCs on the relationship between CKM and firm PIP. The study also clarifies a key distinction between organizational learning and dynamic capabilities, demonstrating that knowledge serves an antecedent role to the deployment of dynamic capabilities.

The purpose of this paper is to explore the dynamics and stability of switched supply system considering the influence of the retailer competition and deteriorating items.

A discrete dynamic switched model is developed to analyze the evolution process of the switched supply chain. The existence and the local stability of the switched supply chain are analyzed using an analytical method and a parameter plot basin.

The author finds the switched supply chain will exhibit stable, periodic, and divergent behaviors with different parameters due to the system’s switching mechanism and the switched supply chain presents complex dynamics when the stable and unstable subsystem coexist.

The originality and value of the research rests on this paper considering the influence of the retailers’ competition and deteriorating items on the supply chain dynamics under stock-dependent demand. The obtained results provide the decision maker with some guidelines on how to make stable designs for the switched supply chain design according to the parameter values.

This study aims to apply legitimacy theory and self-identity theory to the online food delivery (OFD) app service and then to investigate the impact of green brand legitimacy and biospheric value orientation perceived by customers on eco-friendly behavior.

This study focuses on the mediating role of trust in green brands and its perceived benefits (including psychological and environmental benefits). This study involved an online survey of 445 customers who had experienced using OFD services in the past six months.

The platform's green brand legitimacy and consumer perceived biospheric value orientation positively impact trust in green brands. Trust in green products and services significantly affects customers' perceived benefits and has a positive impact on eco-friendly service using behavior. Mediating effect analysis indicated that brand legitimacy and biospheric value have a positive indirect influence on the psychological benefits of supporting green activities and utilitarian environmental benefits.

The convenience sampling method is used, and its purely quantitative nature may limit the generalization of the research results.

The OFD platform should encourage online catering retailers to use more eco-friendly packages for packaging food and minimize the provision of disposable tableware. The platform manager can provide consumers with knowledge and information on lowering related environmental pollution sources when ordering food.

This study innovatively introduces brand legitimacy into the green consumption literature. This is an essential expansion of the content of brand legitimacy and a supplement for the research field of eco-friendly behavior.

One of the problems that urbanization creates on the ecosystem is the increase of heavy metal accumulation of the urban lands. Due to constant urbanization and industrialization in many parts of the world, metals are constantly spreading to the environment and pose a great threat to human health. The purpose of the study is to determine the effect of heavy metal accumulation values of the lands located in Bingöl city center on the urban ecosystem by examining them in terms of zonal and land-use classification.

The research was conducted on 30 samples taken from five zones and six land-use classes (traffic area-TA, school area-SA, commercial-industry area-CA, green space-GS, residential area-RA and open space-OS). Heavy metal deposits of soil samples were determined in accredited laboratories using the Inductively Coupled Plasma – Mass Spectrometer (ICP-MS) and Atomic Absorption Spectrometer (AAS) device. The study employed the SPSS program for statistical analysis of laboratory results, and ArcGIS Pro programs were used to determine spatial pollution distribution.

Although the heavy metal contents of soil samples pose no problems in terms of national and international standards, a number of zones carry risks for the future. In the analyzes, traffic and settlement area soils in terms of land-use classifications and Zone 5 soils in terms of zonal distribution were determined as ecologically risky areas.

The study provided suggestions on what should be done to use the results of the research in planning the physical development of the city.

Recently, increasing importance has been given to electronic records in China, despite the lack of understanding that institutions and organizations have regarding the security status of electronic records preservation. Wuhan, the largest city in central China, serves as a case to investigate the preservation security of electronic records. Challenges to security are summarized, and solutions are proposed to support policy-developing and operational guidance. The paper aims to discuss these issues.

The Delphi method is applied to analyze the advice of nine experts, select survey items and design questionnaires. Data are collected from 34 archives in Wuhan through field surveys, oral interviews and e-mails, which are analyzed and illustrated with three representative cases.

Main achievements of electronic records preservation are concluded in the electronic records management system, carrier types and storage formats, and data backup. Problems are summarized as a lack of awareness and capability of defending against security risks, disaster recovery capability, and understanding of electronic record characteristics. Solutions are proposed as follows: carrying out regular security risk evaluation, adopting new technologies, implementing application-level backup, strengthening technology-related education and attracting more IT talent to join the archive discipline. In addition, it is critical to promote an understanding of the characteristics of electronic records.

This paper investigates the security status of electronic records in central China by surveys and case studies. Critical problems and corresponding solutions are raised to support policy-developing and operational guidance for the research and practice of all kinds of institutions that implement electronic records preservation.

This study aims to investigate how business-to-business (B2B) companies use message strategies on social media platform and how these strategies are effective in improving customer perceived value and encouraging customer engagement, as well as how B2B companies differ from business-to-customer (B2C) counterparts in terms of utilization and effectiveness of social media message strategy.

Based on content analysis of Sina Weibo brand pages and survey of website visitors, this paper examines the differences of social media message strategies and their impacts upon customer perceived value and customer engagement between B2B and B2C companies.

B2B companies use more rational appeals and less emotional appeals, have lower degree of informativeness and perform better in interactivity and variety than B2C companies. These five dimensions of message strategy have different roles in engaging customers via perceived value across B2B and B2C settings.

The research makes significant contributions to B2B social media marketing literature by answering two interrelated questions, namely, “What companies are doing?” and “What companies should do?” on social media websites. Besides, it provides insightful implications for B2B companies on how to implement appropriate message strategies in their social media marketing efforts by conducting Importance-Performance Analysis.

This study aims to unveil the pivotal components and implementation pathways in the digital innovation of smart tourism destinations, while constructing a theoretical framework from a holistic perspective.

The research focuses on 31 significant urban smart tourism destinations in China. Secondary data was collected through manual search supplemented by big data scraping, whereas primary data was obtained from interviews with municipal tourism authorities. Grounded theory was used to theoretically construct the phenomenon of digital innovation in smart tourism destinations.

This research has formulated a data-driven knowledge framework for digital innovation in smart tourism destinations. Core components include digital organizational innovation, smart data platforms, multi-stakeholder digital collaborative ecosystem and smart tourism scenario systems. Destinations can achieve smart tourism scene innovation through closed innovation driven by smart data platforms or open innovation propelled by a multi-stakeholder digital collaborative ecosystem.

Based on insights from digital innovation practices, this study proposes a series of concrete recommendations aimed at assisting Destination Management Organizations in formulating and implementing more effective digital innovation strategies to enhance the sustainable digital competitiveness of destinations.

This study advances smart tourism destination innovation research from localized thinking to systemic thinking; extends digital innovation theory into the realm of smart tourism destination innovation; repositions the significance of knowledge in smart tourism destination innovation; and constructs a comprehensive framework for digital innovation in smart tourism destinations.

本研究致力于揭示智能旅游目的地数字创新中的核心组件及实施路径, 并创建一个整体视角下的理论框架。

研究选定中国31座重要城市型智能旅游目的地为研究对象。通过人工检索结合大数据抓取的方式收集二手资料, 以各市旅游主管部门为访谈对象收集一手资料。运用扎根理论对智能旅游目的地的数字创新现象进行理论构建。

本研究构建了一个数据型知识驱动的智能旅游目的地数字创新框架。其中, 核心组件包括数字组织创新、智慧数据平台、多主体数字协同生态和智慧旅游场景体系。目的地可通过智慧数据平台驱动的内生型创新或多主体数字协同生态推动的开放式创新, 实现智能旅游场景创新。

本研究将智能旅游目的地创新相关研究由局部思考推向系统思考; 将数字创新理论扩展到智能旅游目的地创新的研究中; 重新定位知识在智能旅游目的地创新中的重要地位; 以及构建了一个智能旅游目的地数字创新整体框架。

本研究基于数字创新实践洞察, 提出了一系列具体建议。旨在帮助目的地管理组织更有效地制定和实施数字创新策略, 以增强旅游目的地可持竞争力。

La investigación se centra en 31 destacados destinos turísticos urbanos inteligentes de China. Los datos secundarios se recopilaron mediante una búsqueda manual complementada con técnicas de big data, mientras que los datos primarios se obtuvieron a partir de entrevistas con las autoridades turísticas municipales. Se empleó la teoría fundamentada para construir teóricamente el fenómeno de la innovación digital en los destinos turísticos inteligentes.

Esta investigación tiene como objetivo identificar los componentes esenciales y las rutas de implementación de la innovación digital en destinos turísticos inteligentes, y construir un marco teórico desde una perspectiva holística.

Este estudio ha desarrollado un marco de conocimiento basado en datos para la innovación digital en destinos turísticos inteligentes. Los componentes centrales incluyen la innovación organizativa digital, la plataforma de datos inteligentes, el ecosistema digital colaborativo de múltiples actores y el sistema de escenarios turísticos inteligentes. Además, tanto la innovación endógena impulsada por la plataforma de datos inteligentes como la innovación abierta impulsada por el ecosistema digital colaborativo de múltiples actores contribuyen a la innovación por escenarios en destinos turísticos inteligentes.

A partir de las prácticas de innovación digital, este estudio ofrece una serie de recomendaciones dirigidas a las Organizaciones de Gestión de Destinos (DMOs) para la formulación e implementación de estrategias de innovación digital de manera más efectiva, y mejorar la competitividad digital sostenible de los destinos turísticos.

Este estudio avanza la investigación sobre innovación en destinos turísticos inteligentes desde el pensamiento localizado hasta el pensamiento sistémico; extiende la teoría de la innovación digital al ámbito de la innovación en destinos turísticos inteligentes; reposiciona la importancia del conocimiento en la innovación de destinos turísticos inteligentes; y construye un marco integral para la innovación digital en destinos turísticos inteligentes.