bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modulational instability and collapse of internal gravity waves in the atmosphere
Authors: Lashkin Volodymyr M. , Cheremnykh Oleg K. 
Published: August 2024

Nonlinear two-dimensional (IGWs) in the atmospheres of the Earth and the Sun are studied. The resulting two-dimensional nonlinear equation has the form of a generalized nonlinear Schrödinger equation with nonlocal nonlinearity, that is, when the nonlinear response depends on the wave intensity at some spatial domain. The modulation instability of IGWs is predicted, and specific cases for the Earth's atmosphere are considered. In a number of particular cases, the instability thresholds and instability growth rates are analytically found. Despite the nonlocal nonlinearity, we demonstrate the possibility of critical collapse of IGWs due to the scale homogeneity of the nonlinear term in spatial variables.

Published by the American Physical Society
2024
Multi-UAV path planning using DMGWO ensuring 4D collision avoidance and simultaneous arrival
Authors: Shahid Sami , Zhen Ziyang , Javaid Umair 
Published: August 2024

Purpose
Multi-unmanned aerial vehicle (UAV) systems have succeeded in gaining the attention of researchers in diversified fields, especially in the past decade, owing to their capability to operate in complex scenarios in a coordinated manner. Path planning for UAV swarms is a challenging task depending upon the environmental conditions, the limitations of fixed-wing UAVs and the swarm constraints. Multiple optimization techniques have been studied for path-planning problems. However, there are local optimum and convergence rate problems. This study aims to propose a multi-UAV cooperative path planning (CoPP) scheme with four-dimensional collision avoidance and simultaneous arrival time.

Design/methodology/approach
A new two-step optimization algorithm is developed based on multiple populations (MP) of disturbance-based modified grey-wolf optimizer (DMGWO). The optimization is performed based on the objective function subject to multi constraints, including collision avoidance, same minimum time of flight and threat and obstacle avoidance in the terrain while meeting the UAV constraints. Comparative simulations using two different algorithms are performed to authenticate the proposed DMGWO.

Findings
The critical features of the proposed MP-DMGWO-based CoPP algorithm are local optimum avoidance and rapid convergence of the solution, i.e. fewer iterations as compared to the comparative algorithms. The efficiency of the proposed method is evident from the comparative simulation results.

Originality/value
A new algorithm DMGWO is proposed for the CoPP problem of UAV swarm. The local best position of each wolf is used in addition to GWO. Besides, a disturbance is introduced in the best solutions for faster convergence and local optimum avoidance. The path optimization is performed based on a newly designed objective function that depends upon multiple constraints.
Regional analysis of agricultural bank liquidity
Authors: Cowley Cortney , Kreitman Ty , Kauffman Nathan 
Published: August 2024

PurposeThe purpose of this article is to determine the regional economic factors and bank characteristics that significantly contribute to changes in bank liquidity. We also seek to identify regions that may be most susceptible to liquidity tightening.Design/methodology/approachFor this article we use data on deposits from commercial banks, Federal Reserve survey data and indicators of regional and agricultural economic conditions. We specify a panel regression with fixed effects to model how liquidity at agricultural banks has changed and to identify the most significant drivers.FindingsOur results suggest that small banks and banks with branch networks located in areas more concentrated in agricultural production bear the greatest risk of reduced liquidity.Practical implicationsPrior to the pandemic and more recently, lower deposit growth, combined with strong demand for agricultural loans, has led to reductions in liquidity at agricultural banks. Lower liquidity could reduce credit availability for farm borrowers and increase risks for banks that must rely on alternative sources of funding to meet loan demand.Originality/valuePrevious research has shown that exogenous shocks from other economic sectors, such as energy, can significantly affect bank liquidity, but research is limited on how agricultural bank liquidity is affected by downturns in the agricultural economy and other regional economic factors. Another contribution is this paper’s analysis of regional disparities in bank liquidity.
Impacts of work-related rumination on employee’s innovative performance: based on the conservation of resources theory
Authors: Qian Si , Zhang Xiaoyan , Liu Jiaxin 
Published: August 2024

PurposeThis paper aims to examine the double-edged sword effects of work-related rumination on employees’ innovative performance. Drawing upon Conservation of Resources (COR) theory, this study developed a model to reveal the mechanism through which work-related rumination affects employees’ innovative performance.Design/methodology/approachData were collected from a sample of employees and their managers at an information technology services firm in China. A two-wave data collection method with a one-month interval was employed. The analysis was conducted using structural equation modeling on 482 paired manager-subordinate responses.FindingsOur findings highlight the complex interplay between work-related rumination and innovative performance. Specifically, affective rumination was found to detract from employees’ innovative performance, whereas problem-solving pondering had a positive effect. Notably, creative self-efficacy emerged as a key mediator in these relationships. Furthermore, employees’ perceived organizational support moderated the impact of rumination on creative self-efficacy and, consequently, on innovative performance, buffering the negative effects of affective rumination and enhancing the positive effects of problem-solving pondering.Originality/valueFirstly, it enriches the existing literature on work-related rumination by exploring its nuanced influence on employees’ innovative performance. Secondly, it illuminates the underlying mechanism through which work-related rumination affects innovative performance, mediated by creative self-efficacy. Lastly, it highlights the crucial role of perceived organizational support in moderating these relationships, offering valuable insights for practitioners seeking to foster a more innovative work environment.
Research on the influence of the digital economy on the development of China’s small household appliance industry and enhancement countermeasures
Authors: Sheng Gang , Wu Huabin , Xu Xiangdong 
Published: August 2024

Purpose
The implementation of the digital economy has had a considerable influence on the manufacturing industry, and this paper aims to address the important issues of how to capture the opportunities presented by digital innovation and promote the transformation and upgrading of the manufacturing industry, as well as the improvement of quality and efficiency.

Design/methodology/approach
Using panel data from 30 Chinese provinces and cities between 2010 and 2021, this study establishes the panel vector autoregression (PVAR) model and uses impulse response function analysis to evaluate the influence of the digital economy on the high-quality transformation and upgrading of China's small home appliance industry across five dimensions under the digital economy.

Findings
The development of digital infrastructure has not demonstrated a noteworthy capacity for advancing the transformation and upgrading of the small home appliance industry. Furthermore, digital industrialization has exerted a minimal restraining influence on this process. Nevertheless, digital governance has consistently exhibited a substantial impact on facilitating the transformation and upgrading of the small home appliance industry. While both industrial digitization and digital innovation hold significant potential for promoting the transformation and upgrading of the small home appliance industry, their sustainability remains limited.

Practical implications
The organization should logically join independent innovation and open innovation, construct an industrial ecosystem for the profound convergence of the digital economy and compact household appliances, use digital-wise science and technology to empower the establishment of brand effects, strengthen the portrayal of the digital standard framework for the intelligent compact household appliance industry, advance the development of a public stage for computerized administrations in the compact household appliance industry and develop a strategy ecosystem for computerized assets in the compact household appliance industry.

Originality/value
This study offers systematic evidence of the relationship between the digital economy and the development of the small home appliance industry. The results of this research contribute to the literature on the impact of the digital economy on the manufacturing sector and provide a logical explanation for the transformation and upgrading of the small home appliance industry within the context of the digital economy.
The impact of psychological capital, cognitive diversity and temporal ambidexterity on adaptive performance through innovative work behaviour among IT employees in India
Authors: Devassy Shiny , Jindal Priya 
Published: August 2024

Purpose
This study aims to examine how the Information Technology (IT) sector in India is changing sporadically to be relevant to be able to meet the changing demands. Companies are striving hard to be able to leverage any such factor that adds to the competitive advantage needed to survive in this dynamic market. Therefore, an organization has to be able to keep innovation as its primary objective.

Design/methodology/approach
This study used a cross-sectional research design and the data from 303 IT professionals were used to validate the relationships among psychological capital (PSC), cognitive diversity (COD), temporal ambidexterity (TEA), innovative work behaviour (IWB) and adaptive performance (ADP). Hypotheses testing was done through the SEM and mediation analysis was conducted using bootstrap estimation in SPSS AMOS.

Findings
The results suggest that PSC significantly affects both IWB and ADP. COD has a significant effect only on IWB. In addition, directly impacts ADP. Mediation analysis indicates that COD has full mediation between the relationship of IWB and ADP, whereas PSC has a partial mediation. However, TEA has no mediation indicating that an employee needs to have support from his organization to be ambidextrous.

Originality/value
This study shows how significant innovation and IWBs are in the context of the IT sector and how positive thinking, a diverse set of people and the balance between short-term and long-term goals could promote IWBs in an individual leading to better ADP.
Adoption of new banking models from a consumer perspective: the case of Iran
Authors: Salmasi Soroush Dehghan , Sedighi Mohammadbashir , Sharif Hossein , Shah Mahmood Hussain 
Published: August 2024

PurposeTraditionally, the banking and financial sectors have pioneered adoption of new technologies and business models. One important digital banking model that has proven its efficacy in recent times, is Digital-Only Banking (DOB) where consumers interact with their banks through digital channels only. Having detailed knowledge of what actually happens at the consumer level during the adoption of new digital models and technologies is paramount to the success of these technological initiatives. The present study aims to investigate DOB adoption behavior and possible barriers using a quantitative approach at the consumer level. A conceptual model is developed by extending the Unified Theory of Acceptance and Use of Technology (UTAUT) model, incorporating Trust (TR), Perceived Risk (PR) constructs and cultural moderators of Individualism (IDV) and Uncertainty Avoidance (UA).Design/methodology/approachFor this study, an online survey instrument was created and administered in Iran. The research sample was selected through the application of purposive sampling. Data from 788 respondents were analyzed. The proposed model was tested using Partial Least Square.?.s Structural Equation Modeling (PLS-SEM).FindingsThe results show that DOB adoption is positively influenced by Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC), while PR negatively influences DOB adoption intention. Unexpectedly, the results indicate that TR has no significant impact on DOB usage intention. Additionally, this study demonstrates that with individuals having a low level of IDV, the relationship between PE and BI is stronger, and with individuals having a low level of UA, the impact of SI on BI is stronger. It also reveals that the impact of TR on BI is stronger in low individualistic cultures.Practical implicationsDOB providers should enhance support features of their services or provide facilities that make it simpler for users to accomplish online transactions. Here, in order to improve the UI/UX design of their apps, DOB product managers should carefully observe the technical guidelines of the operating systems of digital devices, such as the Human Interface Guidelines (HIG) for iOS and Material You for Android. Additionally, DOB providers should build partnerships with mega online retailers to provide hassle-free and easy to use payment solutions for consumers.Originality/valueDOB, as a novel and business model, has been investigated in very few studies, especially regarding any which focus on its adoption. To fill this gap, this research investigates DOB adoption through a modified version of the UTAUT model. The findings of this study suggest that future research regarding DOB should consider sources of TR, types of non-adopters, and context. This study, as the first of its kind in DOB literature, also highlights the significant role played by cultural values in customer behavior regarding DOB adoption.
In search of profitable growth in volatile and unpredictable environments: the role of supply chain structural adaptability
Authors: Roh Joseph , Swink Morgan , Whipple Judith M. 
Published: August 2024

PurposeThis research examines the long-held belief in the adaption-related literature that a firm’s ability to adapt organizational structure to changing environments is related to superior performance. We create and test a construct that reflects an organization’s ability to change structure, which we call Supply Chain Structural Adaptability (SCSA), rather than relying on proxies (e.g. structural form or organizational modularity) used in prior studies.Design/methodology/approachQuantitative data was collected from 218 firms to test our conceptual model.FindingsWe find that SCSA has a mixed effect on profitable growth under various environmental conditions.Originality/valueWe find evidence that refutes two widely held assumptions in organization research, namely, that structural form serves as a reasonable proxy for structural adaptability and that the benefits of adaptive capabilities always increase as environmental dynamism increases.
Vertically integrated project: uniting teaching, research, and community in favor of sustainability
Authors: Morini Cristiano , Inacio Junior Edmundo , Azevedo Anibal Tavares de , Sanches Francisco Elíseo Fernandes , Avancci Dionisio Eduardo 
Published: August 2024

Purpose
Higher education institutions (HEIs) are crucial in sustainable development. To this end, they must infuse sustainability into all their endeavors. This study aims to delve into the unique vertically integrated project (VIP), a project-based learning approach and its impact on students’ skills and the surrounding community.

Design/methodology/approach
The research design was collaborative, reflecting the spirit of the VIP. Step 1 involved an action research approach, where students and instructors worked closely with municipal representatives to identify challenges and devise solutions for local economic development. In Step 2, students' voices were heard through a survey. Step 3 encompassed presentations in scientific and nonscientific events, capturing the community’s perception as a valuable feedback loop.

Findings
The authors identified the most effective policies implemented by municipalities that excelled in indices related to the business environment. VIP enhanced students’ soft skills, including critical thinking, teamwork and community spirit. The outcomes of the VIP were effective in identifying public policies aimed at social transformation.

Practical implications
This study’s findings offer significant insights for HEI managers, guiding them in adopting interdisciplinary pedagogical practices. These practices, in turn, foster sustainable development within both internal and external communities. Furthermore, the empirical study’s focus on improving local community governance can potentially enhance the local business environment.

Originality/value
Literature emphasizing the social dimension of sustainability in HEIs is scarce, particularly those practices related to teaching, research and extension linked to projects aimed at community sustainability. This study introduces interdisciplinary practices encouraging student involvement in addressing tangible issues and searching for solutions to community problems.
Adapting online wine education to China: a two-study multimethod approach
Authors: Pelet Jean-Eric , Canziani Bonnie , Terblanche Nic 
Published: August 2024

Purpose
Teaching wine tasting online is challenging, even given the curated digital tools of the Wine and Spirit Education Trust, a highly renowned online wine certification system is used. This paper aims to initially explore wine experts’ opinions about online wine education and subsequently examine the feasibility of customizing wine appreciation lexicons for Chinese learners.

Design/methodology/approach
A two-study multimethod approach was adopted. Study 1, a two-stage Delphi study, was conducted with 17 wine experts representing a number of countries, using a mix of closed/open-ended questions in an online survey. Data was collected in a market study in Study 2, conducted at agricultural markets in Thailand (pilot test) and China. Dialogues with market sellers were undertaken, evoking mental imagery of wine descriptors to explore the relevance of traditional versus local aromas and flavors in describing wine.

Findings
Findings concentrate on three main areas: general advantages/disadvantages of online wine education, reactions toward asynchronous/synchronous methods of wine tasting and, finally, the feasibility of customizing a wine appreciation lexicon for Chinese learners.

Originality/value
The study presents novel insights into the role of online wine education in China.
Spatiotemporal context transition model based on graph convolutional network and its implementation
Authors: Zhao Jingyi , Xin Mingjun 
Published: August 2024

Purpose
The purpose of this paper is to present a method that addresses the data sparsity problem in points of interest (POI) recommendation by introducing spatiotemporal context features based on location-based social network (LBSN) data. The objective is to improve the accuracy and effectiveness of POI recommendations by considering both spatial and temporal aspects.

Design/methodology/approach
To achieve this, the paper introduces a model that integrates the spatiotemporal context of POI records and spatiotemporal transition learning. The model uses graph convolutional embedding to embed spatiotemporal context information into feature vectors. Additionally, a recurrent neural network is used to represent the transitions of spatiotemporal context, effectively capturing the user’s spatiotemporal context and its changing trends. The proposed method combines long-term user preferences modeling with spatiotemporal context modeling to achieve POI recommendations based on a joint representation and transition of spatiotemporal context.

Findings
Experimental results demonstrate that the proposed method outperforms existing methods. By incorporating spatiotemporal context features, the approach addresses the issue of incomplete modeling of spatiotemporal context features in POI recommendations. This leads to improved recommendation accuracy and alleviation of the data sparsity problem.

Practical implications
The research has practical implications for enhancing the recommendation systems used in various location-based applications. By incorporating spatiotemporal context, the proposed method can provide more relevant and personalized recommendations, improving the user experience and satisfaction.

Originality/value
The paper’s contribution lies in the incorporation of spatiotemporal context features into POI records, considering the joint representation and transition of spatiotemporal context. This novel approach fills the gap left by existing methods that typically separate spatial and temporal modeling. The research provides valuable insights into improving the effectiveness of POI recommendation systems by leveraging spatiotemporal information.
Does green productivity promote agricultural productivity in Vietnamese market?
Authors: Phuong Nguyen Thi Minh , Song Nguyen Van , Bach Tran Quang , Thanh Đinh Trung , Tiep Nguyen Cong , Tien Dinh Van , Ha Thai Van , Luong Nguyen Thi 
Published: August 2024

PurposeThe research aims to assess the relationship between ecological innovation, green productivity, sustainable development and agricultural productivity in Vietnam. The agricultural sector of Vietnam has been observed with new opportunities which have fostered its productivity and growth.Design/methodology/approachThe study uses a range of methods where initially, the researcher used descriptive analysis, cointegration and unit root tests. Secondly, Quantile Autoregressive Distributed Lag (QARDL) is used to assess the short and long run effects. The QARDL methodology is employed to capture the relationship between variables. Through this approach, the researcher is able to examine the scale of the interaction between dependent and independent variables.FindingsThe unique findings drawn through statistical techniques are also a great addition to the context of literature related to Vietnam’s agricultural productivity. Practical insights can also not be denied as the study provides beneficial guidelines for Vietnam’s agricultural sector to refine agricultural productivity.Research limitations/implicationsScholars are advised to use strong literary techniques to overcome these limitations and give a more thorough investigation into the same ideas. The availability and dependability of data was one of the primary challenges in carrying out this study. Vietnam has made significant advances in the collection and documentation of agricultural data, but there might still be gaps in the availability of thorough and current data on ecological innovation, green production and sustainable development.Originality/valueVietnam’s unique socioeconomic, cultural and environmental features influence how ecological innovation, green productivity, sustainable development and agricultural production are interconnected. Consequently, consideration should be taken when applying the results to various scenarios.