The number of positive words in scientific papers has exhibited a notable upwards trend over the past few decades. However, there remains a gap in our comprehensive understanding of the relationship ...between positive words and research impact. In this study, we conduct a multifaceted exploration of the citation advantage associated with positive words based on social cognitive theory, examining its predictability, temporal evolution, and universality across journals of varying quality grades. Drawing from a corpus encompassing 124,144 papers published in the management field between 2001 and 2020, our regression results provide compelling evidence suggesting that positive words can serve as a significant predictor of the citation counts of academic papers, supporting the citation advantage of positive words. However, it is essential to recognize that over time, the citation advantage attributed to positive words is experiencing a conspicuous decline. The universality of the above phenomenon has been further verified in the analysis of journals of different quality. Our findings prompt a discussion regarding the need to pay more attention to the overuse and misuse of positive words, as well as practical considerations for enhancing scientific communication within the academic community.
•We study fixed common revenue or fixed cost allocation problems.•We propose a two-step incentives allocation method.•We provide equations to obtain the global optimal solution of nonlinear ...allocation models.•We prove several interesting properties of the allocation method.•Several important practical insights are also obtained.
In practice, the concept of incentives is extensively applied in the allocation process for guiding the behaviours of an organization's units to satisfy the goals of the organization. However, this concept is rarely considered in data envelopment analysis (DEA)-based allocation research. This paper proposes a two-step incentive approach for allocating common revenues or fixed costs. The first step is performance evaluation. Considering the noncooperative game relationship of decision-making units (DMUs), a DEA game cross-efficiency method is selected to measure the efficiency scores of DMUs in this paper. The second step is incentive allocation. Based on the performance evaluation, we propose our incentive method for allocating revenues or fixed costs. We further provide simple equations to calculate the global optimal solution for our nonlinear programme allocation models. Several properties are explored, and we i) obtain the allocation interval rule of DMUs with the incentives, ii) investigate the quantitative relationship between the allocation gap and the optimal allocation plan, and iii) prove that the optimal allocation plan obtained by our allocation model is unique. The results of an empirical application highlight the applicability of our allocation method and solution approach. In this study, we obtain several important practical insights, including that (i) our method has positive effects on performance improvement and (ii) our method can work well even in an information asymmetric decision-making environment.
In academic communication, editors exert a significant influence on a journal’s mission and content. We examined how the composition of editorial board members, in particular diversity in terms of ...institution, is related to journal quality. Our sample comprised 6916 editors who were affiliated with 246 economics journals. Using Stirling Index of Diversity, we provided a single numeric index (DI) to measure the diversity of institutions which is composed of variety, balance, and disparity. Then we related it to journal quality, as reflected in three widely used indices in economics: the five-year impact factor, the association of business schools’ (ABS) journal quality guide, and the eigenfactors. The results show that academic journals in the field of economics are heavily dominated by US institutions, but in terms of geographic distribution, there are more institutions in Europe than in North America. Surprisingly, we found that the diversity of editorial board members in terms of institution is negatively related to ABS ranking, but unrelated to the five-year impact factor and the eigenfactors. While when we removed the US journals from the sample, there was a significant positive impact between institutional diversity and the five-year impact factor. Our study extends the scarce knowledge on the composition of editorial teams and their relevance to journal quality by study the correlation between the institutional diversity index and three different journal quality indices. The implication of this study is that more effort is needed to increase the diversity in the composition of editorial teams in order to ensure transparency and promote equity.
In the new situation of Chinese economic development, how to achieve sustainable development of enterprises has become an important issue concerned by managers and investors. This paper selects the ...listed companies of agriculture, tourism and renewable energy industry as research samples, employs the MVAIC (Modified value-added intellectual coefficient) model and runs the panel data to explore the role of capital employed efficiency, intellectual capital efficiency and its components on corporate sustainable growth. The results show that in the full sample, the capital employed efficiency, intellectual capital efficiency and its components have a significant positive effect on corporate sustainable growth. In the industries samples, the impact of the relationship capital efficiency on corporate sustainable growth of agricultural enterprises is not significant, and the impact of structural capital efficiency on corporate sustainable growth of tourism enterprises is not significant. While there is a significant positive impact of intellectual capital efficiency and its components on corporate sustainable growth of renewable energy enterprises. Based on the conclusions, this paper proposes policy suggestions for promoting the sustainable development of enterprises, aiming to provide theoretical guidance and empirical evidence for managers to invest and develop intellectual capital.
In this paper, a co-word method based on keywords from funded project is proposed to map the research trends. Firstly, the keywords of funded project are used to describe the rsearch topic ...statistically. Then, co-word analysis, including cluster analysis, social network analysis, is adopted to study the relationship of each research topic. The projects of Management Science and Engineering in National Natural Science Foundation of China during 2011-2015 are collected as the empirical data. The data is composed of General Project, Youth Project, and Regional Project. The results show that the focus of researches are Game Theory, Supply Chain Management, Complex Network, Data Mining, Optimize, Risk Management, and Data Envelopment Analysis. Moreover, Game Theory, Supply Chain Management, and Data Mining are hot topics. The research fields in Management Science and Engineering in China are varied, and the well developed and core research fields are fewer.
Abstract
The emergence of mega-journals (MJs) has influenced scholarly communication. One concrete manifestation of this impact is that more citations have been generated. Citations are the ...foundation of many evaluation metrics to assess the scientific impact of journals, disciplines, and regions. We focused on searching for citation beneficiaries and quantifying the relative benefit at the journal, discipline and region levels. More specifically, we examined the distribution and contribution to citation-based metrics of citations generated by the five discipline-specific mega-journals (DSMJs) categorized as Environmental Sciences (ES) on Web of Science (WoS) from Clarivate Analytics in 2021:
Sustainability, International Journal of Environmental Research and Public Health, Environmental Science and Pollution Research
,
Journal of Cleaner Production
and
Science of the Total Environment
. Analysis of the distribution of citing data of the five DSMJs shows a pattern with wide coverage but skewness by region and the WoS category; that is, papers in the five DSMJs contributed 26.66% of their citations in 2021 to Mainland China and 22.48% to the ES. Moreover, 15 journals within the ES had their JIFs boosted by more than 20%, benefitting from the high citing rates of the five DSMJs. More importantly, the analysis provides clear evidence that DSMJs can contribute to JIF scores throughout a discipline through their volume of references. Overall, DSMJs can widely impact scholarly evaluation because they contribute citation benefits and improve the evaluation index performance of different scientific entities at different levels. Considering the important application of citation indicators in the academic evaluation system and the increase in citations, it is important to reconsider the real research impact that citations can reflect.
Optimization of oil-imports portfolio has attracted considerable attention from corporate operators as well as government and its strategic planners. This paper proposes a methodology of ...oil-importing portfolio optimization based on the fundamental process of intelligent knowledge management (IKM). Centering on the maritime system, optimal solutions are derived for different risk scenarios. Specifically, three main steps are involved: formulating a multi-objective programming (MOP) model, integrating the composite risk exposure with domain knowledge, as well as knowledge acquisition on risk scenarios and influence of transportation risk. For illustration, optimization of the maritime structure of China’s oil imports is performed to verify the practicability of the novel methodology. Experimental results suggest that the risk-adjusted factors’ augmentation can spread the risk wider and eventually enhance risk optimization capability in the MOP model. With a given risk-adjusted factor, the influence of transportation risk on an optimal plan is simulated and analyzed. The paper uses the fundamental IKM process for transforming the data (rough knowledge) into intelligent knowledge (transformation from T1 to T2) in the empirical study on risk integration and optimization of oil-importing maritime system. It is helpful to explore hidden patterns. What’s more, results suggest that it is necessary to highlight the influence of transportation risk in order to support decision makers from different domains to obtain more reasonable optimal solutions.
Accuracy, complexity and interpretability are very important in credit classification. However, most approaches cannot perform well in all the three aspects simultaneously. The objective of this ...study is to put forward a classification approach named C-TOPSIS that can balance the three aspects well. C-TOPSIS is based on the rationale of TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). TOPSIS is famous for reliable evaluation results and quick computing process and it is easy to understand and use. However, it is a ranking approach and three challenges have to be faced for modifying TOPSIS into a classification approach. C-TOPSIS works out three strategies to overcome the challenges and retains the advantages of TOPSIS. So C-TOPSIS is deduced to have reliable classification results, high computational efficiency and ease of use and understanding. Our findings in the experiment verify the advantages of C-TOPSIS. In comparison with 7 popular approaches on 2 widely used UCI credit datasets, C-TOPSIS ranks 2nd in accuracy, 1st in complexity and is in 1st rank in interpretability. Only C-TOPSIS ranks among the top 3 in all the three aspects, which verifies that C-TOPSIS can balance accuracy, complexity and interpretability well.
The systemic importance of a bank is usually measured by its effect on the banking system, conditional on the insolvency of the bank and solvency of other banks. However, banks encounter different ...kinds of shocks simultaneously in reality. So that, the conditional results give biased estimates of banks’ systemic importance when potential risks are ignored. Researchers like Tarashev et al. proposed the Shapley value method to deal with risk interactions, but it suffers heavy computational costs. This paper proposes an ANOVA-like decomposition method to measure the systemic importance of banks in more complicated and realistic environments, which considers both interactions and individual effects of multiple shocks and provides a more exact estimation of systemic importance. It is found that the method proposed in this paper fits well in the network models. And meanwhile, a discussion between the method proposed in this paper and the Shapley value method is made based on the numerical example, which aims to demonstrate it’s the advantages. The Shapley value method requires 2n subsystems, while the ANOVA-like decomposition method requires only n+1 model runs. In the application part, the proposed method is adopted to measure the systemic importance of 16 Chinese listed banks. With low computational costs, the model outputs the individual effect, interaction, and total effect of each bank. The results confirm that interactions of different shocks play a significant role in the systemic importance of a bank; thus, the total effect considering interactions should be adopted.
Abstract Carbon emission reduction is an important means of achieving climate policy goals. However, the literature has neglected consideration of the carbon emission reduction mechanism from the ...perspective of technology risk spillovers in international trade. To explore this mechanism, this paper expands the classical linear model of foreign trade technology risk spillovers into a nonlinear spatial Durbin model. We construct a novel technology risk spillover index to forecast the magnitude of carbon emissions in agricultural trade across different regions. To validate our model, we consider the dual connotation of the spatial diffusion of disembodied technology communication (DTC) to map the relationships between different geographic and economic regions that are adjacent. The results suggest that disembodied technology risk spillover could promote carbon emission reductions. Specifically, technology risk spillovers from agricultural trade reduce agricultural carbon emissions by 0.79–1.16% in the local region. Disembodied technology risk spillovers also reduce agricultural carbon emissions by 2.85–11.57% in geographically adjacent regions and 4.9% in economically adjacent regions. Based on these conclusions, this paper proposes improving the closed and backward situation of rural areas in China’s central and western regions, promoting the transition toward the high end of the global agricultural industry chain and developing productive agricultural services and the rural cultural tourism industry to expand rural employment channels and stabilize farmers’ income.
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