Search results

This study aims to illustrate how organizational support can reduce work-family conflict (WFC) and improve job/life satisfaction by synthesizing the empirical findings among hospitality employees.

Previous empirical papers were searched through tourism and hospitality journals and 54 studies were ultimately selected. The correlation coefficients were coded and examined through meta-analysis, after which they were used to test the hypothesized model via meta-analytic structural equation modeling.

Findings demonstrated that organizational support plays a critical role in helping employees release WFC and improve life satisfaction but not job satisfaction. The number of children is a salient factor at the individual level on predicting WFC, whereas gender relates only to life satisfaction. The asymmetric permeable roles of WFC dimensions among work, family and life domains were also shown.

The findings can help hospitality managers be aware of the critical roles of organizational support in assisting employees to handle WFC and improve job and life satisfaction.

The relationships among organizational support, WFC and job/life satisfaction of frontline employees have been examined for the first time via meta-analytic SEM. In this manner, previous consistent and inconsistent findings can be synthesized for future theoretical development.

The rationality of the selection and application of policy instruments in current policy schemes for promoting the development of low-carbon eco-cities in China is examined and, in view of existing problems, effective suggestions for scientifically and reasonably organizing and designing policy instruments are proposed, which is of great significance to optimize the policy system for the development of low-carbon eco-cities in China and thereby promote sustainable urban development.

In the study, using 117 policy documents focusing on the development of low-carbon eco-cities issued by the Chinese central government as well as the relevant ministries and commissions between 2010 and 2019 and comprehensively adopting bibliometric and content analysis methods, the contents of policy documents are quantitatively analyzed from three dimensions: policy instrument, policy area and policy target.

The study finds the following. Ecological environment and low-carbon development are the focus of policy attention. Policy-promulgating institutions have formed a core subnetwork, that is, an “iron triangle.” There exists a structural imbalance in the use of policy instruments, and the distribution of policy instruments in different policy areas exhibits significant differentiating characteristics. Driven by different policy targets, the proportion of the policy instrument types adopted by the government is constantly changing. According to these findings, suggestions are put forward to optimize China's low-carbon eco-city development policy.

(1) A three-dimensional policy analysis framework is conducted from the perspective of policy instrument, which is innovative in theory. (2) This paper finds the selective utilization rationality and evolution rule of China's low-carbon eco-city development policy instruments. (3) Recommendations on optimizing China's low-carbon eco-city development policies are discussed systematically, which plays a theoretical guiding role in optimizing the development policies of low-carbon eco-cities in China.

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.

Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.

This study aims to examine the acceptance of adaptive learning (AL) amongst construction professionals in Singapore. It seeks to compare their perceptions and attitudes with those of professionals from other industries to assess the rate of AL adoption in the construction sector. Furthermore, the study aims to identify the factors influencing construction professionals’ intention to adopt AL technologies.

A questionnaire survey was conducted with 188 construction professionals and 153 non-construction professionals. By employing the extended unified theory of acceptance and use of technology (UTAUT2) and the general extended technology acceptance model for e-learning (GETAMEL), this study also explored factors influencing construction professionals’ behavioural intention (BI) towards AL adoption. An SEM-machine learning approach facilitated the evaluation of the factors’ influence on BI.

A comparative analysis of the data found that construction professionals’ intention to use AL surpassed 75%, which had no significant difference with professionals from other industries. The findings revealed that learning value (LV) and self-efficacy (SE) were statistically significant predictors of construction professionals’ intentions to use AL. Furthermore, a supervised machine learning analysis identified performance expectancy (PE) as a crucial factor in predicting these intentions.

The study’s focus on self-reported intentions and a specific demographic limits its generalisability; further research should examine actual usage across diverse cultures.

The results offered insights into construction professionals’ perceptions and attitudes towards AL adoption, guiding the integration of AL into construction professional development.

This paper addresses a recognised gap by examining construction professionals’ perceptions and attitudes towards adopting AL.

This paper aims to explore consumer perceptions of Internet‐based e‐retailing in a highly concentrated retail market environment.

The present research incorporates market and social factors to examine consumer attitude and behavioral intention to use internet‐based e‐retailing based on the survey data collected from individuals in Hong Kong.

The empirical results suggest that perceived usefulness and perceived ease of use have positive impact on consumer attitude towards e‐retail business. The easily accessible local retail market and the concern about risk in the virtual environment significantly affect consumer attitude and behavioral intention to use e‐retailing. However, consumers may consider using e‐retailing if they are influenced by particular social groups.

Future research can be carried out along similar contextual dimensions to explore consumer behavior and critical success factors of e‐retail business in different geographical environments and social contexts.

The present findings have theoretical and practical implications for managing and developing e‐retail business.

The purpose of this paper is to summarize the advances in grey system theory research and various application achievements in science and engineering. At the same time, it commemorates the 40th anniversary of the birth of grey system theory and the 10th anniversary of Grey Systems–Theory and Application.

Firstly, the innovations of theoretical research in grey system theory were summarized and some of the widely recognized new results are briefly described. By searching and combing the research results of grey system theory in China national knowledge infrastructure (CNKI) database and Web of Science by Institute for Scientific Information (ISI), this paper shows the rapid development trend of grey system theory in the past 40 years, and the successful applications of grey system theory in the fields of social sciences, natural sciences and engineering technologies.

More than 227 thousands literature were found by input 10 phrases such as grey system, grey number and sequence operator etc. in CNKI database. After entering the new century, the number of grey system papers included in CNKI database is increasing rapidly. Since 2008, more than 10 thousands papers have been included per year and more than 15 thousands papers have been included per year since 2014. Grey system method and model are widely used in physics, chemistry, biology and other fields of natural science, as well as transportation, electric power, machinery and other fields of engineering technology, and a large number of valuable results have been achieved.

It can be seen that the grey system theory plays an important role in promoting China’s scientific and technological progress, innovation and development and high-level talent training from tens of thousands of literatures marked with important national science and technology projects and a large number of grey system literatures published by China’s double first-class universities and double first-class discipline construction universities.

Both innovations of theoretical research and practical application play important role in the growth of new theory. The innovations of theoretical research provide methods and tools for practical application, which is conducive to improve application efficiency and broaden application fields. A large number of practical applications needs have become the source of theoretical innovation and the solid background for the birth of theoretical innovation achievements.

Inland shipping has been extensively recognised as a sustainable, efficient and good alternative to rail and road modes of transportation. In recent years, various authorities and academic researchers have advocated shifting from road to other sustainable modes like inland waterway transport (IWT) or rail transport. Academic work on modernisation and technological innovations to enhance the effectiveness and efficiency of waterborne transportation is becoming apparent as a growing body of literature caused by the need to achieve a sustainable transport system. Thus, it became apparent to explore the research trends on IWT.

A systematic and structured literature review study was employed in this paper to identify the challenges and concepts in modernising inland waterways for freight transportation. The review analysed 94 articles published in 54 journals from six well-known databases between 2010 and 2022.

The key findings of this review are that despite various challenges confronting the sector, there have been successful cases of technological advancement in the industry. The main interest among scholars is improving technical and economic performance, digitalisation, and safety and environmental issues. The review revealed that most of the literature is fragmented despite growing interest from practitioners and academic scholars. Academic research to address the strategic objectives, including strengthening competitiveness (shipbuilding, hydrodynamics, incorporating artificial intelligence into the decision-making process, adopting blockchain technology to ensure transparency and security in the transactions, new technologies for fleets adaptation to climate change, more effective handling, maintenance and rehabilitation technologies), matching growth and changing trade patterns (intermodal solutions and new logistics approaches) are major causes of concerns.

By employing the approach of reviewing previously available literature on IWT review papers, this review complements the existing body of literature in the field of IWT by providing in a single paper a consolidation of recent state-of-the-art research on technological developments and challenges for inland waterways freight transport in the intermodal supply chain that can act as a single resource to keep researchers up to date with the most recent advancements in research in the domain of inland waterway freight transport. Additionally, this review identified gaps in the literature that may inspire new research themes in the field of IWT.

The purpose of this paper is to attempt to establish the pattern of multi‐objective and multi‐dimensional grey fuzzy forecasting with feedback based on the theories of grey system and fuzzy recognition.

First, according to the given weights, the weighting integrated value of samples were computed. Second, the method of fuzzy recognition with single index was employed to calculate the fuzzy classification of the integrated value. According to the cause analysis, the fuzzy classification of the integrated value is used to compute the weights of indexes. In the same way, repeating the above processes, the weighting integrated value and fuzzy classification with given accuracy are retrieved at the same time. Finally, the authors calculate the correlation coefficient between the weighting integrated values and forecasting objects, according to the principle of maximal relativity, optimizing the weighting integrated value of samples, establishing the fuzzy forecasting pattern, and checking the model's precision. A numeric example is also computed in the last part of the paper.

The results are convincing: not only that the pattern of multi‐objective and multi‐dimensional grey fuzzy forecasting with feedback based is valid, but also the model's applied prediction accuracy is higher, where the test samples' mean forecast accuracy of groundwater dynamic levels is 96.50 percent.

The method exposed in the paper can be used to predict groundwater dynamic levels and even for other similar forecast problems.

The paper succeeds in realising both a prediction pattern and application of predicting groundwater dynamic levels by using the newest developed theories of grey system and fuzzy recognition.

The purpose of this paper is to study the criteria of R & D commercialization capability by using the successful cases from government research institutes.

The data were collected from 272 entrepreneurs and researchers with a structured questionnaire. The data analysis was carried out by the structural equation modeling (SEM).

The research results revealed that there are six criteria for R & D project commercialization capability, these are arranged according to the significance; marketing, technology, finance, non-financial impact, intellectual property, and human resource. Moreover, the evaluator’s roles, both researchers and entrepreneurs, effect the level of criteria for consideration.

This research is derived from samples form voluntary participants from the disclosed lists in the governmental research institutes. Although SEM results provide weight for each R & D commercialization capability that would be the first step for developing the R & D evaluation instrument and the longitudinal will need to investigate.

This study provides the holistic R & D commercialization capability criteria to assist entrepreneurs and researchers when faced with R & D commercialization decision. The criteria was developed from successful innovation cases; hence they enhance decision-making potential, provide a guideline of R & D commercialization evaluation process, speed up the decision-making process, and prevent risk of a resource meltdown and increase innovation exploitation.

The roles of the evaluators are important when considering R & D, hence, to use the same criteria for evaluating the researchers and entrepreneurs seems inappropriate since naturally, the researchers usually lack marketing and financial skills while the entrepreneurs usually lack technological skills and human resources. The answer may be in the form of providing specifics about project requirement, establishment of marketing and financial consultants in research institutes, enhancement of research and development division, or doing the business matching before doing the agreement in order to encourage co-research and increase the technology transfer level.

This paper proposes the holistic criteria in order to decrease the ambiguous subjectivity of fuzzy-expert system and to help with effectively funding R & D and to prevent a resource meltdown.

A company’s dividend policy is determined not just by its strategy but also by the qualities of its managers, particularly overconfidence. As a result, the purpose of this study is to explore the impact of CEO overconfidence on dividend policy using the dividend payout ratio and dividend yield ratio.

The study’s sample includes 170 non-financial enterprises listed on the Pakistan Stock Exchange between 2011 and 2022. Furthermore, we used corporate governance and firm-specific factors as control variables. The fixed effect model based on the Hausman test result and dynamic system GMM estimation technique was employed in the analysis. Furthermore, the dividend dummy variable and alternative proxies of dividend payments are used to ensure the results are robust.

The findings indicate that CEOs’ overconfidence positively impacts dividend payout and dividend yield ratios. Further analysis reveals that board size and remuneration committee significantly impact dividend payment among corporate governance control variables, while block holding has a negative effect. Among firm-specific control variables, the results suggest that firm size, profitability, and market-to-book ratio are significantly positively associated. In contrast, the coefficient of variation and debt ratio are inversely associated with dividend payments.

Managerial overconfidence benefits shareholders by increasing dividend payouts, but firms may struggle in the long run if they do not have adequate retained earnings to meet capital requirements. Dividends and retained earnings must be balanced to make enough funds available for long-term investment in capital-intensive projects.

Although little previous research has focused on the managerial overconfidence-dividend policy relationship, the authors believe this is the first study to test this relationship generally in emerging markets, particularly Pakistan.