Search results

The main objective of this study is to determine the factors that have the greatest impact on travelers' opinions of airports.

11,656 customer reviews for 649 airports around the world were gathered following the COVID-19 outbreak from the website that rates airport quality. The dataset was examined using hierarchical regression, PLS-SEM, and the unsupervised Bayesian algorithm-based PSEM in order to verify the hypothesis.

The results showed that people’s intentions to recommend airports are significantly influenced by their opinions of how well the servicescape, staff, and services are.

By encouraging air travelers to have positive intentions toward recommending the airports, this research offers airport managers decision-support implications for how to improve airport service quality. This will increase the likelihood of retaining more passengers.

This study also suggests a quick-to-implement visual decision-making mechanism based on PSEM that is simple to understand.

This chapter investigates the geographical variations and approaches that shape the implementation of smart city projects on a global scale. Recognizing the significant influence of contextual factors on smart city initiatives, this chapter aims to comprehend the dynamics that drive the objectives and approaches of smart city projects across different countries. This chapter provides an overview of the strategic and geographical factors that impact smart city implementation, considering organizational drivers and practices, such as the Hofstede model in context. It explores the role of citizen-based, technology-based, and decision-making-based development in smart city implementation. Moreover, this chapter examines the strategic, cultural, socioeconomic, and geographical differences that influence smart city projects worldwide. It analyzes the geographical influence and internal drivers of smart city projects, focusing on Europe, North America, Latin America, and East and South Asia. This analysis offers insights into diverse approaches to smart city development, encompassing top-down and bottom-up approaches. By examining various perspectives and experiences from smart city initiatives worldwide, this chapter sheds light on the challenges and opportunities associated with implementing smart city strategies in different contexts.

This chapter focuses on the competitive outcomes of present-day smart cities. It explores how cities can leverage economic and internal advancements to gain a competitive edge over other cities, and attract and retain both internal and external users. In the 21st century, cities engage in a global competition to attract citizens and businesses alike. The attractiveness and competitiveness of cities are directly linked to their ability to offer essential services that support growth opportunities, build economic value, and establish a competitive differentiation. Cities with advanced and innovative environments are more likely to maintain leading positions in an increasingly globalized world. Building upon the previous discussions on urban and economic outcomes, this chapter sheds light on the competitive outcomes of smart cities and the implications of global competition and city attractiveness for internal and external users. This chapter begins by examining the role of marketing innovation and internationalization in driving smart city development and how urban ecosystems and digital technologies can enhance city attractiveness. It emphasizes the importance of being a smart destination for both internal and external users and how it can empower and shape interactions with citizens, talent, companies, and tourists. Additionally, this chapter analyzes the geographical differences in smart city strategies and explores the competitive landscape of smart cities within and across nations. Finally, it discusses the limitations of competitive urbanism, along with the challenges and future prospects of smart city development. This analysis is supported by data and published works from international journals. Overall, this chapter aims to comprehensively understand how cities can leverage smart technology and strategies to enhance their national and global positioning.

This chapter provides an integrated overview of digital implementation in smart city ecosystems, focusing on the data ecosystem, the data value chain, and the digital implementation in smart cities. It acknowledges the opportunities and challenges presented by the growth of big data and its impact on delivering public services and coordinating local ecosystems in smart cities. This chapter introduces the concept of a smart city data ecosystem and explores the implementation of digital solutions, highlighting the role of local management and internal and external providers. It examines the digitalization of processes and services, technological infrastructure, and social media in the context of the smart city, emphasizing the interaction between local and national data ecosystems. This chapter incorporates interviews with smart city managers, policymakers, and technicians involved in the digital development process, offering valuable insights into the practical implementation and usage of data management within smart cities and the potential impact on urban development.

To understand the unique context forming organizational learning, the current study aims to investigate the antecedents of training and development (TD) practices as an indicator of effective organizational learning from the Vietnam hospitality sector, which has not been studied rigorously.

This study adopts a mixed method of quantitative and qualitative data analysis, including a path analysis partial least squares structural equation modeling (PLS-SEM) based on a sample size of 354 responses and a semi-structured interview of 32 participants to test various paths predicting training effectiveness while exploring contextual differences in the Vietnam hospitality sector.

The results show that among the variables investigated, extrinsic motivation, team support and job quality were found to be significant to TD, while intrinsic motivation was found to have no significant predictive power. To explore the reasons behind these findings, the interviews indicate that the motivations of employees in the hospitality sector, most of whom are young and have a limited length of service, are highly rooted in the organization’s cultural context.

This study contributes to understanding the complex context of organizational learning through an investigation of an emerging economy from Southeast Asia by adding new insights into the training and motivational theories. It has practical implications for practitioners in the hospitality sector to develop more effective learning organizations during the uncertain period of this unprecedented pandemic.

With the focus on the context of small and medium-sized enterprises (SMEs), this study aims to investigate the joint effects of entrepreneurial leadership, entrepreneurial orientation and dynamic capabilities and the mechanisms of how these factors influence firm performance.

A survey from 319 managers in information and communications technology SMEs in Vietnam was conducted, and structural equation modeling was adopted to analyze the collected data.

The results confirm that dynamic capabilities directly influence firm performance and serve as a mediator that connects entrepreneurial leadership and entrepreneurial orientation with firm performance. Additionally, entrepreneurial leadership was found to have a significant positive impact on entrepreneurial orientation.

This research augments the understanding of entrepreneurship and dynamic capabilities literature by examining the joint effects and mechanisms of how entrepreneurial leadership, entrepreneurial orientation and dynamic capabilities interact to enhance SMEs' performance. Furthermore, this study provides empirical evidence of the strategies that SMEs should pursue to attain favorable performance outcomes.

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.