Search results

1 – 10 of 126
Open Access
Article
Publication date: 19 December 2023

Qinxu Ding, Ding Ding, Yue Wang, Chong Guan and Bosheng Ding

The rapid rise of large language models (LLMs) has propelled them to the forefront of applications in natural language processing (NLP). This paper aims to present a comprehensive…

1041

Abstract

Purpose

The rapid rise of large language models (LLMs) has propelled them to the forefront of applications in natural language processing (NLP). This paper aims to present a comprehensive examination of the research landscape in LLMs, providing an overview of the prevailing themes and topics within this dynamic domain.

Design/methodology/approach

Drawing from an extensive corpus of 198 records published between 1996 to 2023 from the relevant academic database encompassing journal articles, books, book chapters, conference papers and selected working papers, this study delves deep into the multifaceted world of LLM research. In this study, the authors employed the BERTopic algorithm, a recent advancement in topic modeling, to conduct a comprehensive analysis of the data after it had been meticulously cleaned and preprocessed. BERTopic leverages the power of transformer-based language models like bidirectional encoder representations from transformers (BERT) to generate more meaningful and coherent topics. This approach facilitates the identification of hidden patterns within the data, enabling authors to uncover valuable insights that might otherwise have remained obscure. The analysis revealed four distinct clusters of topics in LLM research: “language and NLP”, “education and teaching”, “clinical and medical applications” and “speech and recognition techniques”. Each cluster embodies a unique aspect of LLM application and showcases the breadth of possibilities that LLM technology has to offer. In addition to presenting the research findings, this paper identifies key challenges and opportunities in the realm of LLMs. It underscores the necessity for further investigation in specific areas, including the paramount importance of addressing potential biases, transparency and explainability, data privacy and security, and responsible deployment of LLM technology.

Findings

The analysis revealed four distinct clusters of topics in LLM research: “language and NLP”, “education and teaching”, “clinical and medical applications” and “speech and recognition techniques”. Each cluster embodies a unique aspect of LLM application and showcases the breadth of possibilities that LLM technology has to offer. In addition to presenting the research findings, this paper identifies key challenges and opportunities in the realm of LLMs. It underscores the necessity for further investigation in specific areas, including the paramount importance of addressing potential biases, transparency and explainability, data privacy and security, and responsible deployment of LLM technology.

Practical implications

This classification offers practical guidance for researchers, developers, educators, and policymakers to focus efforts and resources. The study underscores the importance of addressing challenges in LLMs, including potential biases, transparency, data privacy, and responsible deployment. Policymakers can utilize this information to shape regulations, while developers can tailor technology development based on the diverse applications identified. The findings also emphasize the need for interdisciplinary collaboration and highlight ethical considerations, providing a roadmap for navigating the complex landscape of LLM research and applications.

Originality/value

This study stands out as the first to examine the evolution of LLMs across such a long time frame and across such diversified disciplines. It provides a unique perspective on the key areas of LLM research, highlighting the breadth and depth of LLM’s evolution.

Details

Journal of Electronic Business & Digital Economics, vol. 3 no. 1
Type: Research Article
ISSN: 2754-4214

Keywords

Open Access
Article
Publication date: 11 April 2023

Wenhao Yi, Mingnian Wang, Jianjun Tong, Siguang Zhao, Jiawang Li, Dengbin Gui and Xiao Zhang

The purpose of the study is to quickly identify significant heterogeneity of surrounding rock of tunnel face that generally occurs during the construction of large-section rock…

Abstract

Purpose

The purpose of the study is to quickly identify significant heterogeneity of surrounding rock of tunnel face that generally occurs during the construction of large-section rock tunnels of high-speed railways.

Design/methodology/approach

Relying on the support vector machine (SVM)-based classification model, the nominal classification of blastholes and nominal zoning and classification terms were used to demonstrate the heterogeneity identification method for the surrounding rock of tunnel face, and the identification calculation was carried out for the five test tunnels. Then, the suggestions for local optimization of the support structures of large-section rock tunnels were put forward.

Findings

The results show that compared with the two classification models based on neural networks, the SVM-based classification model has a higher classification accuracy when the sample size is small, and the average accuracy can reach 87.9%. After the samples are replaced, the SVM-based classification model can still reach the same accuracy, whose generalization ability is stronger.

Originality/value

By applying the identification method described in this paper, the significant heterogeneity characteristics of the surrounding rock in the process of two times of blasting were identified, and the identification results are basically consistent with the actual situation of the tunnel face at the end of blasting, and can provide a basis for local optimization of support parameters.

Details

Railway Sciences, vol. 2 no. 1
Type: Research Article
ISSN: 2755-0907

Keywords

Open Access
Article
Publication date: 4 April 2023

Xiaojie Xu and Yun Zhang

Forecasts of commodity prices are vital issues to market participants and policy makers. Those of corn are of no exception, considering its strategic importance. In the present…

Abstract

Purpose

Forecasts of commodity prices are vital issues to market participants and policy makers. Those of corn are of no exception, considering its strategic importance. In the present study, the authors assess the forecast problem for the weekly wholesale price index of yellow corn in China during January 1, 2010–January 10, 2020 period.

Design/methodology/approach

The authors employ the nonlinear auto-regressive neural network as the forecast tool and evaluate forecast performance of different model settings over algorithms, delays, hidden neurons and data splitting ratios in arriving at the final model.

Findings

The final model is relatively simple and leads to accurate and stable results. Particularly, it generates relative root mean square errors of 1.05%, 1.08% and 1.03% for training, validation and testing, respectively.

Originality/value

Through the analysis, the study shows usefulness of the neural network technique for commodity price forecasts. The results might serve as technical forecasts on a standalone basis or be combined with other fundamental forecasts for perspectives of price trends and corresponding policy analysis.

Details

EconomiA, vol. 24 no. 1
Type: Research Article
ISSN: 1517-7580

Keywords

Open Access
Article
Publication date: 28 March 2023

Tianliang Wang, Ya-Meng He, Zhen Wu and Jun-jun Li

This paper aims to study the impacts of groundwater seepage on artificial freezing process of gravel strata, the temperature field characteristics of the strata, and the strata…

Abstract

Purpose

This paper aims to study the impacts of groundwater seepage on artificial freezing process of gravel strata, the temperature field characteristics of the strata, and the strata process, closure time and thickness evolution mechanism of the frozen wall.

Design/methodology/approach

In this paper several laboratory model tests were conducted, considering different groundwater seepage rate.

Findings

The results show that there is a significant coupling effect between the cold diffusion of artificial freezing pipes and groundwater seepage; when there is no seepage, temperature fields upstream and downstream of the gravel strata are symmetrically distributed, and the thickness of the frozen soil column/frozen wall is consistent during artificial freezing; groundwater seepage causes significant asymmetry in the temperature fields upstream and downstream of the gravel strata, and the greater the seepage rate, the more obvious the asymmetry; the frozen wall closure time increases linearly with the increase in the groundwater seepage rate, and specifically, the time length under seepage rate of 5.00 m d−1 is 3.2 times longer than that under no seepage; due to the erosion from groundwater seepage, the thickness of the upstream frozen wall decreases linearly with the seepage velocity, while that of the downstream frozen wall increases linearly, resulting in a saddle-shaped frozen wall.

Originality/value

The research results are beneficial to the optimum design and risk control of artificial freezing process in gravel strata.

Details

Railway Sciences, vol. 2 no. 1
Type: Research Article
ISSN: 2755-0907

Keywords

Open Access
Article
Publication date: 25 May 2023

Suchismita Swain, Kamalakanta Muduli, Anil Kumar and Sunil Luthra

The goal of this research is to analyse the obstacles to the implementation of mobile health (mHealth) in India and to gain an understanding of the contextual inter-relationships…

Abstract

Purpose

The goal of this research is to analyse the obstacles to the implementation of mobile health (mHealth) in India and to gain an understanding of the contextual inter-relationships that exist amongst those obstacles.

Design/methodology/approach

Potential barriers and their interrelationships in their respective contexts have been uncovered. Using MICMAC analysis, the categorization of these barriers was done based on their degree of reliance and driving power (DP). Furthermore, an interpretive structural modeling (ISM) framework for the barriers to mHealth activities in India has been proposed.

Findings

The study explores a total of 15 factors that reduce the efficiency of mHealth adoption in India. The findings of the Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC) investigation show that the economic situation of the government, concerns regarding the safety of intellectual technologies and privacy issues are the primary obstacles because of the significant driving power they have in mHealth applications.

Practical implications

Promoters of mHealth practices may be able to make better plans if they understand the social barriers and how they affect each other; this leads to easier adoption of these practices. The findings of this study might be helpful for governments of developing nations to produce standards relating to the deployment of mHealth; this will increase the efficiency with which it is adopted.

Originality/value

At this time, there is no comprehensive analysis of the factors that influence the adoption of mobile health care with social cognitive theory in developing nations like India. In addition, there is a lack of research in investigating how each of these elements affects the success of mHealth activities and how the others interact with them. Because developed nations learnt the value of mHealth practices during the recent pandemic, this study, by investigating the obstacles to the adoption of mHealth and their inter-relationships, makes an important addition to both theory and practice.

Details

International Journal of Industrial Engineering and Operations Management, vol. 6 no. 2
Type: Research Article
ISSN: 2690-6090

Keywords

Open Access
Article
Publication date: 14 April 2020

Joshua Siegel and Willemijn van Dolen

Volunteers at child helplines play an important role in providing support for children, so keeping them satisfied during encounters is crucial to continue helping children. The…

1408

Abstract

Purpose

Volunteers at child helplines play an important role in providing support for children, so keeping them satisfied during encounters is crucial to continue helping children. The purpose of this study is to understand how children’s perceptions of instrumental and emotional support (partner effects) influence volunteer encounter satisfaction, and whether this effect is moderated by a volunteer’s previous encounter experience and levels of interpersonal and service-offering adaptiveness.

Design/methodology/approach

The sample consisted of 377 dyads of 116 volunteers and 377 children from online service encounters at a child helpline. Questionnaires were used to measure satisfaction, support and volunteer adaptiveness. A multilevel model was estimated to test the hypothesized moderation effects.

Findings

This study revealed that the instrumental support partner effect positively influenced volunteer encounter satisfaction. This relationship was stronger when the previous encounter was less satisfying or for volunteers with higher interpersonal, but not higher service-offering, adaptiveness. Negative effects on the relationship between the emotional support partner effect and volunteer encounter satisfaction were found after a less satisfying previous encounter or for volunteers with higher interpersonal adaptiveness.

Originality/value

This study contributes to the services and volunteerism literature by providing a unique perspective on the interpersonal influence between volunteers and children during service encounters. In the context of child helplines, this paper illustrates how volunteer encounter satisfaction is a function of the intricate interplay between children’s perceptions of the service encounter and volunteers’ perceptions of previous experiences and their adaptiveness.

Details

Journal of Services Marketing, vol. 34 no. 5
Type: Research Article
ISSN: 0887-6045

Keywords

Open Access
Article
Publication date: 29 September 2022

Arshad Ahmad Khan, Sufyan Ullah Khan, Muhammad Abu Sufyan Ali, Aftab Khan, Yousaf Hayat and Jianchao Luo

The main aim of this study is to investigate the impact of climate change and water salinity on farmer’s income risk with future outlook mitigation. Salinity and climate change…

Abstract

Purpose

The main aim of this study is to investigate the impact of climate change and water salinity on farmer’s income risk with future outlook mitigation. Salinity and climate change are a threat to agricultural productivity worldwide. However, the combined effects of climate change and salinity impacts on farmers' income are not well understood, particularly in developing countries.

Design/methodology/approach

The response-yield function and general maximum entropy methods were used to predict the impact of temperature, precipitation and salinity on crop yield. The target minimization of total absolute deviations (MOTAD)-positive mathematical programming model was used to simulate the impact of climate change and salinity on socioeconomic and environmental indicators. In the end, a multicriteria decision-making model was used, aiming at the selection of suitable climate scenarios.

Findings

The results revealed that precipitation shows a significantly decreasing trend, while temperature and groundwater salinity (EC) illustrate a significantly increasing trend. Climate change and EC negatively impact the farmer's income and water shadow prices. Maximum reduction in income and water shadow prices was observed for A2 scenario (−12.4% and 19.4%) during 2050. The environmental index was the most important, with priority of 43.4% compared to socioeconomic indicators. Subindex amount of water used was also significant in study area, with 28.1% priority. The technique for order preference by similarity to ideal solution ranking system found that B1 was the best climatic scenario for adopting climate change adaptation in the research region.

Originality/value

In this study, farmers' income threats were assessed with the aspects of different climate scenario (A1, A1B and B1) over the horizons of 2030, 2040 and 2050 and three different indicators (economic, social and environmental) in Northwestern region of Pakistan. Only in arid and semiarid regions has climate change raised temperature and reduced rainfall, which are preliminary symptoms of growing salinity.

Details

International Journal of Climate Change Strategies and Management, vol. 14 no. 5
Type: Research Article
ISSN: 1756-8692

Keywords

Open Access
Article
Publication date: 6 March 2023

María Sicilia and Mariola Palazón

This study aims to understand how integration efforts at both communication and channel levels can foster customer engagement behavior in the retail sector from the perspective of…

2659

Abstract

Purpose

This study aims to understand how integration efforts at both communication and channel levels can foster customer engagement behavior in the retail sector from the perspective of employees.

Design/methodology/approach

Data were collected through 231 face-to-face questionnaires completed by frontline employees in shopping centers. A structural equation modeling approach was applied to test the proposed hypotheses.

Findings

The results highlight the importance of integration efforts as external stimuli for enhancing employees’ perceptions about customer engagement behavior. Findings extend the stimulus-organism-response model by predicting responses that go beyond employees’ behavior to predict customer engagement behavior. Results also confirm the mediating role of attitudes toward marketing communications and synergy realization in the proposed model.

Practical implications

Retailers should integrate their multiple channels and operate consistently and in coordination through them to develop employees’ perceptions about customer engagement behavior. Managers should regularly collect information from their employees as they represent an important touchpoint in omnichannel retailing.

Originality/value

There is a gap in the omnichannel retailing literature regarding how integration efforts at a communication level may complement integration efforts at a channel level for developing customer engagement. This study addresses this gap by adopting a novel perspective using frontline employees as a source of information for assessing customer engagement behavior. It extends knowledge about how customer engagement behavior may be developed and strengthened from the employees’ point of view.

Objetivo

Este estudio analiza, desde la perspectiva del empleado, cómo la integración de la comunicación y la coordinación de los canales de distribución fomenta el engagement de los clientes en el sector minorista.

Metodología

Los datos fueron recogidos a través de 231 cuestionarios personales realizados a empleados de centros comerciales. Las hipótesis se contrastaron mediante un modelo de ecuaciones estructurales.

Resultados

Los resultados destacan la importancia de la integración para fomentar la percepción de los empleados acerca del engagement del cliente. Estos resultados extienden la aplicación del Modelo de Estimulo-Organismo-Respuesta para predecir no sólo el comportamiento de los empleados si no el engagement del cliente. Los resultados también corroboran el rol mediador de la actitud hacia las comunicaciones de marketing y la obtención de sinergias.

Implicaciones prácticas

Los distribuidores deben integrar todos los canales y actuar de forma coordinada y consistente para mejorar la percepción de los empleados acerca del engagement del cliente. Se debe recabar información periódica sobre las percepciones de los empleados ya que constituyen un importante punto de contacto en la gestión omnicanal de los establecimientos comerciales.

Originalidad

Este estudio aborda un gap existente en la literatura acerca de cómo los esfuerzos de integración a nivel de comunicación complementan los esfuerzos a nivel de canal para fomentar el engagement del cliente. La novedad de este estudio reside en estudiar estos aspectos desde la perspectiva de los empleados.

目的

本研究旨在从员工的角度了解沟通和渠道层面的整合工作如何促进零售部门的顾客参与行为。

方法

数据收集于购物中心一线员工所填写的231份面对面问卷。应用结构方程建模方法来检验所提出的假设。

研究结果

本文结果强调了整合工作作为外部激励对于提高员工对顾客参与行为的认知的重要性。研究结果通过预测超越员工行为的反应来预测客户参与行为, 从而扩展了刺激-机体-反应模型。结果还证实了对营销传播和协同实现的态度在所提出的模型中的中介作用。

实践意义

零售商应该整合其多种渠道, 并通过这些渠道持续协调地运作, 以培养员工对顾客参与行为的认知。管理者应该定期从员工那里收集信息, 因为他们是全渠道零售的一个重要接触点。

原创性

在全渠道零售业的文献中, 关于沟通层面的整合工作如何补充渠道层面的整合工作以发展顾客参与的问题, 存在研究差距。本研究通过采用新颖的视角, 将一线员工作为评估顾客参与行为的信息来源来解决这一差距。它扩展了关于如何从员工的角度发展和加强顾客参与行为的知识。

Open Access
Article
Publication date: 31 December 2010

Anna Eremina and Chan-Hyun Sohn

Recently the route connecting the trans-Korean railway and the trans-Siberian railway has become of particular interest for many academics and policy-makers in East Asian…

Abstract

Recently the route connecting the trans-Korean railway and the trans-Siberian railway has become of particular interest for many academics and policy-makers in East Asian countries. The extensive review of previous studies, however, reveals that literature on the subject is lacking solid analytical framework. Most studies are one-sided, focusing on the political aspects of the issue or paying little attention to the economic aspects of the problem.

This study intends to develop an analytical framework through which the most efficient route among four major alternative routes connecting the trans-Korean and trans-Siberian railways can be identified. It attempts to assign priorities to the four alternative routes according to their level of economic efficiency.

This study utilizes a simple cost-benefit analysis in evaluating the four routes. Cost side, transportation time, effectiveness of customs procedures, and gauge difference are selected as the main economic factors. The volume of cargo, industrial production in adjacent regions, access to natural resources, and market size and foreign investment climate are used to evaluate the benefits of the routes.

The study concludes that Route 3, which connects ‘Busan - Seoul (South Korea) –Pyongyang -Sinuiju (North Korea) –Shenyang –Beijing - Erenhot (China) –Ulaanbaatar (Mongolia) –Ulan-Ude - Moscow (Russia)’ is the most efficient route.

Details

Journal of International Logistics and Trade, vol. 8 no. 2
Type: Research Article
ISSN: 1738-2122

Keywords

Open Access
Article
Publication date: 22 April 2022

Ximena Alejandra Flechas, Carlos Kazunari Takahashi and Júlio César Bastos de Figueiredo

The ongoing business dynamics show two aspects for generating innovation: first, high-impact innovations are developed jointly by several actors, such as universities…

2866

Abstract

Purpose

The ongoing business dynamics show two aspects for generating innovation: first, high-impact innovations are developed jointly by several actors, such as universities, enterprises, and governments. Second, startups are better suited to develop innovation during crises or periods of low growth as experienced at the moment. Based on these aspects and drawing on the constructs of the triple helix, this study analyzes the influence between the characteristics of the actors on the quality of the startup ecosystem from a global view.

Design/methodology/approach

The study examines the cross-section data of 35 countries between 2017 and 2018 and applies the partial least squares structural equation modeling (PLS-SEM) for assessing the relationships between the triple helix on the quality of the startup ecosystem on a country-level.

Findings

The findings suggest that each actor of the triple helix individually does not positively affect the quality of the startup ecosystem. Yet, when analyzing the actors jointly by creating a second-order latent variable (i.e. triple helix), the study found out that in this way, the triple helix construct has a positive effect on the quality of the startup ecosystem.

Originality/value

Although a large body of prior literature indicates the importance of generating interrelationships among the different entities involved in ecosystems, few studies provide empirical evidence from a global perspective of the need for these entities to act in an overlapping manner. The present study supports previous research and reinforces the importance of the triple helix for a more innovative environment.

Details

Revista de Gestão, vol. 30 no. 3
Type: Research Article
ISSN: 1809-2276

Keywords

1 – 10 of 126