Search results

This paper explores the mechanism of organizational Pao culture in an Oriental cultural context and its impact on CSR implementation and outcomes.

Three short cases are presented to reveal how the traditional Chinese Pao culture influences CSR implementation and outcomes in Chinese firms.

The findings suggest that the traditional Chinese Pao culture is the driver behind the value orientation of the norms of passing on favors and doing good deeds will be rewarded. Knowing this can help leaders in such organizations to incentivize member participation in building organizational Pao culture.

Through the collaborative construction of the core of Pao culture and external evaluation standards of corporate social responsibility, enterprises can thus achieve the dual goals of self-development and social benefits.

Enterprises and managers can be encouraged to draw management wisdom from the essence of cultural norms, so as to achieve the goal of realizing the interests of all CSR participants.

This paper emphasizes the dynamics and outcomes of CSR implementation in the context of the traditional Chinese Pao culture and expands the boundary of CSR research beyond a Western cultural setting.

Risk response decisions (RRDs) are vital for project risk mitigation. Although past research has focused on RRDs for independent single projects, it has scarcely explored how to make RRDs for single projects in project portfolios (SPPPs). Consequently, this study aims to bridge the gap in extant literature by developing an integrated approach to select risk response strategies (RRSs) for SPPPs considering objective adjustments and project interdependencies (PIs).

An integrated quality function deployment (QFD) method was used throughout this study. More so, a balanced score card (BSC) and stratified-Z-numbers-full consistency method (SZFUCOM) was applied to identify SPPP success criteria (SP3SC) to determine their weights. In addition, a spherical fuzzy set-design structure matrix (SFDSM) was used to quantify the correlation between the risks and the relationship between the risks and the predecessor projects. Consequently, the relationships between the risks and SP3SC and RRSs were described by the spherical fuzzy set (SFS) and Z-numbers, respectively. Besides, the results are weaved into QFD to transform SP3SC into risks and then into RRSs, while a linear optimization model is used to obtain the optimal RRSs. Lastly, a construction project portfolio (PP) was used to test the veracity of the results to prove their validity.

The approach to RRDs for single projects is observed to be different from that of SPPPs. In addition, this study finds that project portfolio objective adjustments (PPOAs) and PIs have significant impacts on RRDs given that they influence the risk priorities of independent single projects and SPPPs. Moreover, the application of an integrated QFD effectively synthesized the results from the findings of this study, as well as enabled companies to determine robust RRSs. Finally, the consistency results of the SZFUCOM were better than those of the triangular fuzzy number-full consistency method.

The study innovatively explores the method of RRDs for SPPP, which has been ignored by past research. SP3SC highly compatible with PP success is determined. Z-numbers are first used to evaluate the effect of RRSs to enhance the robustness of RRDs. The study proposes a method of RRDs comprehensively considering PPOAs and PIs, which provides robust methodological guidance for SPPP managers to control risks.

In the realm of construction education, the investigation of immersive learning and extended reality (XR) technologies has experienced a surge in recent times. Nevertheless, there remains a notable lack of comprehension surrounding the most efficient ways to integrate these technologies into tailored teaching approaches for vocational construction training. This research study aims to pinpoint the key factors that construction vocational education and training (VET) providers must consider when introducing XR technologies into their training schemes.

This study conducted an in-depth literature review to develop an initial framework to summarise training, technology and institutional factors influencing the educational-technology integration of XR technologies in VET. In addition, this study utilised a Delphi technique, including semi-structured group discussions and two rounds of online follow-up questionnaires, to capture VET experts’ judgements on the importance of decision-making criteria.

This study has identified the critical factors to be considered in the VET sector when adopting XR technologies. Findings revealed institutional factors were the most important criteria for participants, followed by training and technology factors.

The current decision-making process focuses on selecting XR technologies rather than evaluating their performance after implementation. Therefore, more research is needed to monitor the implementation of this technology in curricula from a senior management perspective. This will help to understand the cost and value factors related to the value proposition of XR technologies in courses.

To ensure the success and long-term viability of the technology-curriculum interface, it is important to consider factors such as the availability of technical and educational support, data security and cost-effectiveness. It is also crucial to focus on ease of use and content development that emphasises instruction to create engaging content for learners.

The potential impact of this study is underpinned by two facts: (1) it constitutes the first effort made in the field to comprehensively elicit VET expert judgements in relation to XR technologies, and (2) it offers decision-making criteria that are at play in seeking to take advantage of high-cost technologies that are rapidly evolving. While there is no simple checklist for XR implementation, this study takes a step further to identify significant factors influencing XR integration in vocational construction training.

This study aims to evaluate the key factors affecting the behavioural intention of urban tourists towards visiting national parks by integrating the theory of planned behaviour (TPB) and expectancy theory (ET).

Data were collected from urban tourists using an online questionnaire developed through Google forms. A total of 489 valid online questionnaires were considered for this study. The proposed research model was empirically evaluated using the structural equation modelling method.

According to the results of this research, TPB constructs are significantly and positively associated with the behavioural intention of urban tourists towards visiting national parks in India and out of ET constructs, only expectancy and valence are significantly and positively associated with behavioural intention while instrumentality does not.

This study manifests the behaviour of urban tourists towards national parks and contributes to academics by incorporating existing literature. The findings of this study also help policymakers in formulating innovative strategies for national parks. It presents an integrated framework that lays the platform for a new study domain on urban tourists' intentions to visit national parks, which will be useful to urban managers, officials and the tourism sector. Furthermore, as the scope of this study is confined to assessing the intentions of urban tourists toward visiting national parks, it is difficult to generalize the findings.

To the best of the authors' knowledge, this is the first research of its kind to provide an understanding of the behavioural intention of urban tourists towards visiting the national parks in India by optimizing the TPB and ET.

Much has been speculated about the role that Generation Z will play in achieving more sustainable development. The tourism sector gains a special role in this discussion. On the one hand, tourism, due to its growing importance, has had a significant impact on environmental sustainability. On the other hand, Generation Z will be the largest group of travellers ever in the future. In this context, the objective of the present study is to explore the interest of young Portuguese generation Z in sustainable development goals (SDGs), tourism sustainability (TS) and their pro-environmental habits and how these categories influence the choice of sustainable tourism destination.

An online questionnaire was used to collect data from a sample of 305 young Portuguese. The quantitative analysis was performed with the application of the partial least square (PLS) model.

Overall, the authors found that despite our respondents showing an interest in the SDGs the same interest is not true for tourism. Although most respondents are concerned about choosing a sustainable destination, they do not care about keeping destinations sustainable, nor do they have pro-environmental habits.

This study presents the first evidence of the attitudes, beliefs and pro-environmental habits of Portuguese Gen Zers and their potential contribution to TS.

Climate change is the biggest global health threat of the 21st century. Its impacts scatter through every stratum of society placing the marginalized clusters at the highest vulnerability and calling for action at all levels. Adaptation enhances resilience, whereas mitigation minimizes the anthropogenic forces of climate change; these are crucial initiatives for climate-resilient sustainable development. The aim of this study was to determine the knowledge and attitudes on climate change adaptation and mitigation at individual level and assess related factors.

A descriptive study is done to assess the knowledge and attitudes of school teachers in three educational zones of the Kalutara district using random cluster sampling. A self-administered questionnaire including 25 equally weighted questions to assess knowledge and 10 statements to assess attitudes was used.

The response rate was 98.8% [n = 618] and 23% of the study population had poor knowledge of climate change adaptation and mitigation at the individual level. Favorable attitudes were observed among more than 65% of participants for all the statements on climate change adaptation and mitigation. Average family income, working duration, involvement in school environmental societies and highest education qualification showed a significant positive association, whereas age and current grade had a significant negative association with good knowledge. The level of knowledge had no significant variation among male and female teachers.

Overall knowledge was poor among more than 20% of the teachers highlighting the need for school and community-based awareness programs to be implemented to address the issue.

This study aims to investigate the moderating impact of environmental knowledge on the factors influencing individuals’ continuous intention to use e-wallets.

Using a quantitative research design, this study develops and empirically tests a structural model. A purposive sample of 344 e-wallet users in Jordan was analyzed using Smart-PLS software.

The results indicate that perceived usefulness, subjective norms and perceived behavioral control directly influence the intention to continue using e-wallets. Notably, environmental concern and environmental knowledge do not have a direct impact on continuous intention. However, they act as mediators in the relationship between perceived behavioral control and continuous intention. Specifically, environmental knowledge acts as a mediator between perceived behavioral control, subjective norms and continuous intention. Furthermore, environmental knowledge moderates the relationship between perceived behavioral control and subjective norms, significantly impacting users’ continuous intention to use e-wallets.

This study contributes to the extended theory of planned behavior model within the banking sector by emphasizing the enhanced explanatory power of environmental factors. It underscores the pivotal role of environmental knowledge as a moderator that connects determinants of e-wallet usage to continuous intention.

The research aims to provide a nuanced understanding of the complex social, psychological and organizational factors that serve as the foundation driving academics' knowledge-sharing behavior (KSB) within an academic enclave.

A cross-sectional research design using the partial least squares structural equation modeling (PLS-SEM) approach was employed to examine the determinants of personality traits among tertiary academics in Malaysia in relation to their KSB. To this end, a self-administered survey was distributed to a sample group of 526 respondents.

It is evident that conscientiousness and agreeableness are the personality traits that play a significant role in promoting KSB among academics in higher learning institutions (HLIs). These personality traits are positively linked with academics' willingness to transfer and receive knowledge. In contrast, the personality trait of openness to experience does not significantly influence KSB.

This study has employed a four-item measurement for evaluating the three distinct personality traits. Despite employing a brief measurement tool, the study has demonstrated significant reliability and validity, particularly in terms of convergent and discriminant validity.

The present study has revealed that conscientiousness in academics is intimately linked with their KSB, which is of paramount importance in the output-based education system. Notably, agreeableness among academics also conveys a positive effect on knowledge sharing (KS) in HLIs, as it cultivates trust and helpfulness among individuals and facilitates the exchange of valuable tacit knowledge.

This research explores the relationship between personality traits and KSB among Malaysian academics in HLIs. The study adopts the theories of planned behavior (TPB) and social capital theory (SCT) as theoretical ground, providing a nuanced understanding of the underlying motivations and mechanisms driving academics' knowledge-sharing behavior within the unique socio-cultural context of Southeast Asia.

Online reviews serve as valuable sources of information, reflecting tourists’ attentions, preferences and sentiments. However, although the existing research has demonstrated that incorporating online review data can enhance the performance of tourism demand forecasting models, the reliability of online review data and consumers’ decision-making process have not been given adequate attention. To address the aforementioned problem, the purpose of this study is to forecast tourism demand using online review data derived from the analysis of review helpfulness.

The authors propose a novel “identification-first, forecasting-second” framework. This framework prioritizes the identification of helpful reviews through a comprehensive analysis of review helpfulness, followed by the integration of helpful online review data into the forecasting system. Using the SARIMAX model with helpful online review data sourced from TripAdvisor, this study forecasts tourist arrivals in Hong Kong during the period from August 2012 to June 2019. The SNAÏVE/SARIMA model was used as the benchmark model. Additionally, artificial intelligence models including long short-term memory, back propagation neural network, extreme learning machine and random forest models were used to assess the robustness of the results.

The results demonstrate that online review data are subject to noise and bias, which can adversely affect the accuracy of predictions when used directly. However, by identifying helpful online reviews beforehand and incorporating them into the forecasting process, a notable enhancement in predictive performance can be realized.

First, to the best of the authors’ knowledge, this study is one of the first to focus on the data issue of online reviews on tourism arrivals forecasting. Second, this study pioneers the integration of the consumer decision-making process into the domain of tourism demand forecasting, marking one of the earliest endeavors in this area. Third, this study makes a novel attempt to identify helpful online reviews based on reviews helpfulness analysis.

This study aims at examining the contentions of the agency theory by exploring the direct relationship between environmental, social and governance (ESG) disclosure score and corporate financial performance (CFP) from the years 2016–2020. It also tests for the adaptability of slack resources theory by testing this relationship in the presence of a moderating variable (financial slack).

The study relies on the data obtained from Bloomberg database of 112 companies belonging to different sectors. It employs the use of partial least square structure equation modelling (PLS-SEM) for carrying out the empirical analysis.

The results obtained show that there exists a negative relationship between ESG and CFP of the sample firms. These results lend support to the propositions of both the agency theory. Further, the financial slack in the organizations does not ensure a firm's responsible behavior.

The paper provides important implications both from the perspective of managers as well as policymakers. The results of this study will aid the managers in reducing the instances of information asymmetry in the market, thereby tackling the issue of principle agent problems within an organization. From the policy marking perspective, the results of this study will help the regulatory authorities in implementing the necessary rules, regulations and laws that will ensure increased participation from the corporate sector in disclosing their sustainability-related information.

This study is one of its kind to explore the impact of a moderating variable on the ESG-CFP relationship in the context of an emerging economy. It also contributes to the present stream of literature by providing both a theoretical and empirical support to the propositions under consideration.