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Article
Publication date: 8 January 2024

Walter Leal Filho, Maria Alzira Pimenta Dinis, Maria F. Morales, María Semitiel-García, Pedro Noguera-Méndez, Salvador Ruiz de Maya, María-del-Carmen Alarcón-del-Amo, Nuria Esteban-Lloret and María Pemartín

Higher education institutions (HEIs) offer courses and programmes focusing on sustainability in economics, as courses on sustainable development (SD), which examine the economic…

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Abstract

Purpose

Higher education institutions (HEIs) offer courses and programmes focusing on sustainability in economics, as courses on sustainable development (SD), which examine the economic, social and environmental dimensions of SD. This paper aims to examine sustainability integration in economics degree programmes.

Design/methodology/approach

Through an extensive literature review in Web of Science (WoS) and information search in Google, conducting to 28 relevant case studies, this paper elucidates the emphasis given to sustainability as part of economics degree programmes in HEIs.

Findings

The results suggest that, whereas the inclusion of sustainability components in this field is a growing trend, much still needs to be done to ensure that matters related to SD are part of the routine of university students studying economics.

Research limitations/implications

It is worth noting that the literature review conducted in WoS was primarily aimed at assisting in the selection of university case studies. The 28 university case studies scrutinised in this study may lack sufficient representation from numerous developing countries.

Practical implications

This study highlights challenges in integrating the SD into economics degree programmes, suggesting the need for curriculum adjustments as underscoring operational issues, acting as barriers. The inclusion of sustainability in economics programmes must navigate operational issues stemming from packed timetables and busy schedules, requiring innovative solutions.

Social implications

As far as the authors are aware, this study holds substantial importance in its emphasis on implementing sustainability within HEIs’ economics programmes, assisting in pursuing SD.

Originality/value

The novelty of this study lies in addressing sustainability with the specific economics focus programmes within the HEIs context.

Details

International Journal of Sustainability in Higher Education, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1467-6370

Keywords

Article
Publication date: 4 July 2023

Korhan Arun and Saniye Yildirim Ozmutlu

Customer orientation (CO) means meeting customers’ needs better than competitors. Competitor orientation means using and acting upon the knowledge of competitors. Thus, the main…

Abstract

Purpose

Customer orientation (CO) means meeting customers’ needs better than competitors. Competitor orientation means using and acting upon the knowledge of competitors. Thus, the main aim of this study is to analyze the effects of environmental competitiveness on export performance by examining the moderating roles of these variables.

Design/methodology/approach

Based on data from 5,000 firms from a survey run in 2021 in Turkey facilitated by the Chamber of Commerce, the authors tested their hypotheses using partial least squares structural equation modeling and correlation analysis.

Findings

The results show that competitor orientation positively affects the relationship between a competitive environment and export performance. However, the authors do not find evidence of a significant effect on CO.

Practical implications

Service sector managers should sacrifice customers to gain export market share in favor of superiority with competitors.

Originality/value

Prior research has yet to emphasize the importance of competition intensity in export performance for service-logistics firms. However, the environmental competitiveness–performance relationship is better explained with the help of these test results and the two additional moderators suggested in this work. Moreover, the export performance indicators were gathered from an independent source.

Details

Journal of Business & Industrial Marketing, vol. 39 no. 2
Type: Research Article
ISSN: 0885-8624

Keywords

Article
Publication date: 6 November 2023

John Fernando Macías-Prada, Yamila Silva and Ángela María Zapata

This study examines the role of universities in the social entrepreneurship ecosystems (SEEs) in Latin America from the perspective of female academic staff, administrators and…

Abstract

Purpose

This study examines the role of universities in the social entrepreneurship ecosystems (SEEs) in Latin America from the perspective of female academic staff, administrators and outreach workers of universities in the region.

Design/methodology/approach

Using a qualitative approach, the study scrutinises in-depth interviews conducted with 24 women from eight Latin American universities.

Findings

The findings underscore the pivotal role of universities in promoting social entrepreneurship through knowledge generation, entrepreneur training, network enhancement and the promotion of equity. They also highlight the importance of incorporating a gender perspective into university programmes and practices.

Research limitations/implications

The qualitative nature and small, diverse sample of this research inherently limit its scope. However, these limitations arise from the exploratory approach adopted, which was confined to eight Latin American countries. Further comparative studies in different contexts are needed to deepen the understanding of the dynamics involved.

Practical implications

Universities should offer more tangible support and training in social entrepreneurship with a gender focus. Governments can create incentives for universities to prioritise their contribution in this area.

Social implications

The study emphasises the potential of women-led social entrepreneurship initiatives to generate positive impact, underscoring the need for inclusive supportive environments.

Originality/value

By providing insights on the role of Latin American universities in SEEs from a gender perspective, this study contributes to limited literature on the intersection of social entrepreneurship, gender, higher education and geographic context in the region. The research underscores the need to further explore how gender and regional dynamics influence social entrepreneurial ecosystems.

Details

International Journal of Gender and Entrepreneurship, vol. 16 no. 1
Type: Research Article
ISSN: 1756-6266

Keywords

Abstract

Details

International Journal of Manpower, vol. 45 no. 1
Type: Research Article
ISSN: 0143-7720

Article
Publication date: 14 November 2023

Rodolfo Canelón, Christian Carrasco and Felipe Rivera

It is well known in the mining industry that the increase in failures and breakdowns is due mainly to a poor maintenance policy for the equipment, in addition to the difficult…

Abstract

Purpose

It is well known in the mining industry that the increase in failures and breakdowns is due mainly to a poor maintenance policy for the equipment, in addition to the difficult access that specialized personnel have to combat the breakdown, which translates into more machine downtime. For this reason, this study aims to propose a remote assistance model for diagnosing and repairing critical breakdowns in mining industry trucks using augmented reality techniques and data analytics with a quality approach that considerably reduces response times, thus optimizing human resources.

Design/methodology/approach

In this work, the six-phase CRIPS-DM methodology is used. Initially, the problem of fault diagnosis in trucks used in the extraction of material in the mining industry is addressed. The authors then propose a model under study that seeks a real-time connection between a service technician attending the truck at the mine site and a specialist located at a remote location, considering the data transmission requirements and the machine's characterization.

Findings

It is considered that the theoretical results obtained in the development of this study are satisfactory from the business point of view since, in the first instance, it fulfills specific objectives related to the telecare process. On the other hand, from the data mining point of view, the results manage to comply with the theoretical aspects of the establishment of failure prediction models through the application of the CRISP-DM methodology. All of the above opens the possibility of developing prediction models through machine learning and establishing the best model for the objective of failure prediction.

Originality/value

The original contribution of this work is the proposal of the design of a remote assistance model for diagnosing and repairing critical failures in the mining industry, considering augmented reality and data analytics. Furthermore, the integration of remote assistance, the characterization of the CAEX, their maintenance information and the failure prediction models allow the establishment of a quality-based model since the database with which the learning machine will work is constantly updated.

Details

Journal of Quality in Maintenance Engineering, vol. 30 no. 1
Type: Research Article
ISSN: 1355-2511

Keywords

Article
Publication date: 17 July 2023

Anaile Rabelo, Marcos W. Rodrigues, Cristiane Nobre, Seiji Isotani and Luis Zárate

The purpose of this study is to identify the main perspectives and trends in educational data mining (EDM) in the e-learning environment from a managerial perspective.

Abstract

Purpose

The purpose of this study is to identify the main perspectives and trends in educational data mining (EDM) in the e-learning environment from a managerial perspective.

Design/methodology/approach

This paper proposes a systematic literature review to identify the main perspectives and trends in EDM in the e-learning environment from a managerial perspective. The study domain of this review is restricted by the educational concepts of e-learning and management. The search for bibliographic material considered articles published in journals and papers published in conferences from 1994 to 2023, totaling 30 years of research in EDM.

Findings

From this review, it was observed that managers have been concerned about the effectiveness of the platform used by students as it contains the entire learning process and all the interactions performed, which enable the generation of information. From the data collected on these platforms, there are improvements and inferences that can be made about the actions of educators and human tutors (or automatic tutoring systems), curricular optimization or changes related to course content, proposal of evaluation criteria and also increase the understanding of different learning styles.

Originality/value

This review was conducted from the perspective of the manager, who is responsible for the direction of an institution of higher education, to assist the administration in creating strategies for the use of data mining to improve the learning process. To the best of the authors’ knowledge, this review is original because other contributions do not focus on the manager.

Details

Information Discovery and Delivery, vol. 52 no. 2
Type: Research Article
ISSN: 2398-6247

Keywords

Article
Publication date: 21 June 2023

Bo Wang and Ting Jia

Positive reviews can enrich the favorable impression of peer-to-peer accommodation products, and seizing this impression is vital for hosts. This study aims to focus on hosts’…

Abstract

Purpose

Positive reviews can enrich the favorable impression of peer-to-peer accommodation products, and seizing this impression is vital for hosts. This study aims to focus on hosts’ response strategies to positive reviews and their effects.

Design/methodology/approach

This study categorizes hosts’ response strategies to positive reviews into cordial and tailoring responses. This study empirically analyzes the influence of these response strategies on subsequent review volumes using 1,283 valid listings and zero-inflation negative binomial regression models.

Findings

While hosts use cordial responses more, tailoring responses are more likely to drive subsequent reviews. In addition, when the host chooses entirely shared accommodation or sets a high price, the facilitating effect of the two response strategies on subsequent reviews weakens.

Research limitations/implications

This study enriches the knowledge system on managerial responses by proposing two specific response strategies to positive reviews that can be adopted by peer-to-peer accommodation hosts and by finding the promoting impact of these strategies on subsequent review volumes.

Practical implications

This study recommends that peer-to-peer accommodation hosts adopt cordial and tailoring responses to encourage subsequent consumer reviewing behavior.

Originality/value

As an early attempt to explore hosts’ responses to positive reviews and their impacts on subsequent review volumes, this study provides valuable insights into further research on positive review response strategies in the digital space.

Details

International Journal of Contemporary Hospitality Management, vol. 36 no. 4
Type: Research Article
ISSN: 0959-6119

Keywords

Open Access
Article
Publication date: 1 March 2024

Quoc Duy Nam Nguyen, Hoang Viet Anh Le, Tadashi Nakano and Thi Hong Tran

In the wine industry, maintaining superior quality standards is crucial to meet the expectations of both producers and consumers. Traditional approaches to assessing wine quality…

Abstract

Purpose

In the wine industry, maintaining superior quality standards is crucial to meet the expectations of both producers and consumers. Traditional approaches to assessing wine quality involve labor-intensive processes and rely on the expertise of connoisseurs proficient in identifying taste profiles and key quality factors. In this research, we introduce an innovative and efficient approach centered on the analysis of volatile organic compounds (VOCs) signals using an electronic nose, thereby empowering nonexperts to accurately assess wine quality.

Design/methodology/approach

To devise an optimal algorithm for this purpose, we conducted four computational experiments, culminating in the development of a specialized deep learning network. This network seamlessly integrates 1D-convolutional and long-short-term memory layers, tailor-made for the intricate task at hand. Rigorous validation ensued, employing a leave-one-out cross-validation methodology to scrutinize the efficacy of our design.

Findings

The outcomes of these e-demonstrates were subjected to meticulous evaluation and analysis, which unequivocally demonstrate that our proposed architecture consistently attains promising recognition accuracies, ranging impressively from 87.8% to an astonishing 99.41%. All this is achieved within a remarkably brief timeframe of a mere 4 seconds. These compelling findings have far-reaching implications, promising to revolutionize the assessment and tracking of wine quality, ultimately affording substantial benefits to the wine industry and all its stakeholders, with a particular focus on the critical aspect of VOCs signal analysis.

Originality/value

This research has not been published anywhere else.

Details

Applied Computing and Informatics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2634-1964

Keywords

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