Search results

To predict the price of battery-grade lithium carbonate accurately and provide proper guidance to investors, a method called MFTBGAM is proposed in this study. This method integrates textual and numerical information using TCN-BiGRU–Attention.

The Word2Vec model is initially employed to process the gathered textual data concerning battery-grade lithium carbonate. Subsequently, a dual-channel text-numerical extraction model, integrating TCN and BiGRU, is constructed to extract textual and numerical features separately. Following this, the attention mechanism is applied to extract fusion features from the textual and numerical data. Finally, the market price prediction results for battery-grade lithium carbonate are calculated and outputted using the fully connected layer.

Experiments in this study are carried out using datasets consisting of news and investor commentary. The findings reveal that the MFTBGAM model exhibits superior performance compared to alternative models, showing its efficacy in precisely forecasting the future market price of battery-grade lithium carbonate.

The dataset analyzed in this study spans from 2020 to 2023, and thus, the forecast results are specifically relevant to this timeframe. Altering the sample data would necessitate repetition of the experimental process, resulting in different outcomes. Furthermore, recognizing that raw data might include noise and irrelevant information, future endeavors will explore efficient data preprocessing techniques to mitigate such issues, thereby enhancing the model’s predictive capabilities in long-term forecasting tasks.

The price prediction model serves as a valuable tool for investors in the battery-grade lithium carbonate industry, facilitating informed investment decisions. By using the results of price prediction, investors can discern opportune moments for investment. Moreover, this study utilizes two distinct types of text information – news and investor comments – as independent sources of textual data input. This approach provides investors with a more precise and comprehensive understanding of market dynamics.

We propose a novel price prediction method based on TCN-BiGRU Attention for “text-numerical” information fusion. We separately use two types of textual information, news and investor comments, for prediction to enhance the model's effectiveness and generalization ability. Additionally, we utilize news datasets including both titles and content to improve the accuracy of battery-grade lithium carbonate market price predictions.

The study aims to construct a model that illustrates the relationship between receiving and sharing negative electronic word-of-mouth (e-WOM), consumer resistance to innovation (CRI), and customer loyalty.

Utilizing questionnaire surveys and regression model analysis, this study examines the case of smartphones to explore the impact of customer loyalty and CRI on the spread of negative e-WOM.

The results show that when consumers receive negative e-WOM, it increases their resistance to innovation, consequently raising the probability of them sharing this negative feedback. However, strong customer loyalty mitigates this interaction. Interestingly, customer loyalty increases the likelihood of consumers sharing negative e-WOM upon receiving it. This suggests that loyal consumers tend to be more inclined to share information, regardless of its positivity or negativity.

The paper contributes by examining the mechanisms linking the receipt and dissemination of e-WOM, CRI, and customer loyalty, along with the moderating impact of customer loyalty.

Organic coatings are widely used for protecting metal equipment and structures from corrosion. Accurate detection and evaluation of the protective performance and service life of coatings are of great importance. This paper aims to review the research progress on performance evaluation and lifetime prediction of organic coatings.

First, the failure forms and aging testing methods of organic coatings are briefly introduced. Then, the technical status and the progress in the detection and evaluation of coating protective performance and the prediction of service life are mainly reviewed.

There are some key challenges and difficulties in this field, which are described in the end.

The progress is summarized from a variety of technical perspectives. Performance evaluation and lifetime prediction include both single-parameter and multi-parameter methods.

The purpose of this study is to present an exploration of green intrinsic motivation’s mediating role in the relationship between socially responsible human resource management (SRHRM) and employee workplace green behaviour. Additionally, green leadership behaviour’s moderating role within this relationship is investigated.

Data were collected via a survey using a convenience sampling approach with a sample of 300 employees in Vietnam. A path analysis and the bootstrapping technique in the SPSS Process macro were used to test the hypotheses.

The results demonstrate that employee green intrinsic motivation mediates the association between SRHRM and workplace green behaviour. Furthermore, the findings indicate that green leadership behaviour attenuates the mediation.

The findings suggest that managers should be aware of green intrinsic motivation’s role in encouraging employee workplace green behaviour that results from SRHRM implementation. Organisations should provide resources and enact policies to promote green intrinsic motivation and foster employees’ engagement in workplace environmental activities. Additionally, organisations must be aware of the potentially negative impact of green leadership behaviour and proactively ensure that such actions are authentic, aligned with SRHRM practices, applicable to employees’ work and administered carefully to prevent the perception of micromanagement.

This is the first study to examine green intrinsic motivation as the underlying psychological mechanism and green leadership behaviour as the boundary condition that affects the relationship between SRHRM and employee workplace green behaviour.

This article intends to explore how organizational learning affects innovation in public library services, and the role of public librarians in innovation in library services.

This study collected 375 valid questionnaires from 19 public libraries in Shanghai and Zhejiang based on organizational learning, organizational innovation and employee psychological empowerment theory. Additionally, SPSS and HLM are used to analyze the relationship among the three processes of organizational learning: knowledge acquisition, knowledge sharing and knowledge application, and public library service innovation.

Results show that organizational learning has a significant positive effect on the service innovation of public libraries. Knowledge acquisition and knowledge application in the process of organizational learning have a significant positive influence on the service innovation of public libraries, but the impact of knowledge sharing on service innovation is weak. Employee psychological empowerment has a negative regulating influence on knowledge sharing–public library service innovation, but no significant influence on knowledge application–public library service innovation and knowledge acquisition–public library service innovation.

This research explores the effectiveness of the theory of organizational learning in the field of public libraries and also confirms the role of librarians in the work of public libraries. Together, they promote the innovation of public libraries.

This study examines how street food affects urban culture, economics and sustainable tourism. It examines how street food stands, as a cultural and economic phenomenon, influence consumer behaviour and local traditions, particularly in Oman’s evolving street food scene.

Adopting a quantitative research design, this study utilises an integrated model combining the Stimulus-Organism-Response (S-O-R) and Attitude-Social-Influence-Efficacy (ASE) models. This approach facilitates a comprehensive analysis of the factors influencing consumer behaviour towards street food consumption. The methodology includes surveys and structured interviews with consumers and vendors to assess perceptions, attitudes and behaviours linked to street food in Oman.

The research identifies key sociocultural, economic and marketing factors that significantly influence consumer engagement with street food. It highlights how traditional elements, such as local customs and societal norms, interplay with contemporary marketing strategies to shape consumer preferences and experiences. The findings suggest that street food not only enhances the culinary experience for travellers but also plays a crucial role in the sustainable development of local tourism economies.

This study contributes to the existing literature by providing a novel empirical exploration of street food consumption in Oman, a relatively underexplored area within tourism research. It offers valuable insights into how street food can be leveraged to bolster local economies and enrich the tourist experience through sustainable practices. By integrating the S-O-R and ASE models, this research provides a unique framework for understanding the dynamic relationship between street food culture and consumer behaviour in a Middle Eastern context.

The current business environment is characterized by high levels of uncertainty that affect the global economic system and have the greatest impact on small and medium-sized enterprises (SMEs). With an elevated degree of perceived uncertainty, Chief executive officers' (CEOs) of SMEs find themselves in a situation where the old approaches to decision-making are irrelevant and the time to create new ones is limited. The purpose of this study is to examine whether appealing to personal values helps CEOs cope with a high level of perceived uncertainty and make decisions about the further development of the firm by undertaking business model innovations (BMI).

This study follows a multiple case study research design drawing on data collected from 10 Russian SMEs.

The authors show that CEOs’ communion values lead to innovations in the revenue model and value architecture dimensions of the business model. CEOs who are inclined to agentic values introduce innovations in the revenue model and value offering dimensions. Those executives who balance between the two types of values tend to also balance between different types of innovations in the elements of the business model.

The results indicate that personal values of CEOs play an important role in managerial processes and the strategic choice of a BMI type. Moreover, personal temporal focus orientation serves as a translation mechanism in the relationship between CEO values and BMI in SME settings.

Employee’s innovative behavior as a team allows the organization to achieve its goals; however, team green creativity requires transformational and entrepreneurial leader support. Therefore, the study explores the impact of green transformational and entrepreneurial leadership on team innovative behavior and green new product development with the mediating role of team green creativity.

A survey was conducted to collect data from 455 employees working in the hospitality industry via a self-administered questionnaire, and hypotheses were analyzed using the partial least squares structural equation modeling PLS-SEM technique using Smart-PLS 4.0.

The results indicate that green transformational and entrepreneurial leadership styles positively and significantly affect team innovative behavior and new green product development performance. Furthermore, findings show that team green creativity partially mediates the relationship between green transformational and entrepreneurial leadership on team innovative behavior, and new green product development performance.

The results of this study provide insights to hospitality professionals pursuing the improvement of team innovative behavior and new green product development performance through team green creativity and leadership styles.

This study is useful for organizations that target new green product development performance and establish higher green innovative behavior cohesively among its team members through these robust leadership styles.

This study is the first attempt to provide a valuable contribution to the growing field of green leadership styles on team innovative behavior and new green product development performance through team green creativity.

We investigate how green transformational leadership (GTL) influences green innovative service behavior (GISB), particularly in the hospitality sector, which faces significant environmental challenges. Drawing from social identity theory (SIT), we introduce green organizational identity (GOI) as a mediating mechanism through which GTL fosters GISB. Furthermore, we propose a moderated mediation model whereby a green knowledge-sharing climate (GKSC) serves as a first-stage moderator to further understand how and when GTL fosters GISB through GOI.

We employed a multi-study design (i.e. two independent studies across China) to test the hypothesized relationships. Study 1 involved full-time employees from the service industry in China, including healthcare, telecommunication, and insurance sectors (N = 313). Study 2 employed a time-lagged dyadic design, collecting responses from employees and their managers at three different time points in the hospitality sector (N = 419).

In Study 1, the simple mediation results demonstrate that GTL positively influences GISB through the mediating role of GOI. Moreover, in Study 2, the moderating effect of GKSC was supported, showing that in organizations with strong green knowledge-sharing climate, the indirect effect of GTL on GISB via GOI is amplified.

In our work, we address a critical gap in the literature by identifying both the mechanisms and contextual factors that explain how GTL influences GISB. By introducing GOI as a mediator and GKSC as a first-stage moderator, the study advances understanding of how leadership, organizational identity, and a green-supportive climate interact to promote eco-friendly innovation in service organizations. This contributes both theoretically and practically to the development of effective strategies for advancing green initiatives in the service sector.

This study aims to explore the impact of green inclusive leadership (GIL) on green creativity (GCRY) within the context of higher education institutions (HEIs) in China. Specifically, it aims to examine the mediating roles of green intrinsic motivation (GIM), environmental knowledge (EK) and green thinking (GT) according to the componential theory of creativity (CTC).

The study employed a series of questionnaire surveys to collect data at three different time points from various sources. A total of 583 leader-faculty matched samples were obtained from two universities in China. The hypothesized relationships were tested using PROCESS macro in SPSS.

The findings indicate a beneficial influence of GIL on GCRY, mediated by GIM, EK and GT. Noteworthy interaction effects were observed, with GIM fostering EK and GT, and EK laying the groundwork for GT.

This research contributes to the existing literature by confirming the implementation of GIL and supporting the CTC, offering insights into the motivational processes driving GCRY and with practical implications discussed for the effective management of GIL and GCRY in higher education settings.

The novelty of this research model lies in its operationalization of environmental sustainability within the CTC. This study is the initial investigation highlighting the role of GIL in fostering GCRY within HEIs. The key contribution of the study is the investigation of GIM, EK and GT as potential mediators in the relationship between GIL and GCRY. This expands the theoretical boundaries of the CTC framework.