bluuebunny/crossref_metadata_2025_split huggingface dataset:
The role of inter-organisational communication in the performance of strategic alliances: a relational perspective
Authors: Franco Mário , Haase Heiko , Rodrigues Margarida 
Published: July 2024

PurposeThis study aims to determine whether inter-organisational communication, based on four communicational dimensions (willingness, behaviour, commitment and quality), influences the performance of strategic alliances.Design/methodology/approachTo achieve this objective, from a relational perspective, a qualitative approach was adopted, resorting to five small and medium-sized enterprises (SME)/cases in Portugal. Interviews with the key informants of these SMEs and documentary analysis were used to collect data.FindingsBased on the cases analysed, the results show that communication is fundamental, valued and implemented in the SMEs studied. However, this is informal communication, reflecting the cooperation established and not based on contracts. In these SMEs, communication is the basis for understanding the alliance’s objectives and their fulfilment, which creates satisfaction in the partners and the alliance’s success. Communication also allows an alliance to be maintained and develop continuously, creating bonds between the partners.Practical implicationsWithout that communication, alliance performance will not be possible. The study is relevant as it indicates management practices in strategic alliances based on inter-organisational communication, aiming for good performance. Therefore, it contributes to advancing knowledge about strategic alliances through the innovative link with inter-organisational communication and its applicability.Originality/valueThis study is new and innovative because it contributes to the literature in the area of strategic management, as it presents phenomena to do with inter-organisational communication and its relation with strategic alliances in SMEs, as well as advancing knowledge about the relational perspective. In addition, the application and development of inter-organisational communication, in all its communicational dimensions, are the basis for maintaining alliances over time and their performance.
Factors influencing tourists' technology adoption in Saudi Arabia: examining determinants for effective use of mobile apps in tourism
Authors: Asif Muhammad , Fazel Hesham 
Published: July 2024

PurposeThe use of smartphone applications is the primary means by which modern technology improves the experiences of tourists in the tourism industry by bringing novel and superior features. The purpose of this study is to look into and examine the factors that affect tourists’ intention to use technology when looking for information in areas of tourism.Design/methodology/approachThis study quantitatively uses online surveys. A total number of 315 questionnaires were collected from the tourism industry in Saudi Arabia. Partial least squares-structural equations model is used to analyze the data to evaluate the measurement and structural models.FindingsResults of this study reveal that attitude, perceived usefulness, perceived ease of use and perceived enjoyment significantly and positively influence the intention of tourists, while customer relationship management and personal innovativeness in technology are insignificant. Furthermore, customer relationship management and personal innovativeness in technology indirectly impact tourists’ intentions.Originality/valueThis study offers novel insights by comprehensively analyzing the factors that influence tourists' intention to adopt technology in the context of destination information searches. Finding new avenues, the research emphasizes the distinct functions of customer relationship management, personal innovativeness in technology and enjoyment, offering insightful viewpoints for improving technology integration in the tourism industry.
Entrepreneurial working-class masculinities and curating the corporeal: social media influencers, porntrepreneurs and the case of OnlyFans
Authors: Stahl Garth , Zhao Yang 
Published: July 2024

PurposeFor the most part, the majority of the research on entrepreneurial masculinities has focused on the traditional business and finance sector, capturing a masculinity infused with notions of dominance, a cut-throat disposition and corporate acumen. There has been relatively less attention focused on the reproduction of masculinities and monetized body work in digital forms of entrepreneurship.Design/methodology/approachThis conceptual article explores some of the entrepreneurial and performative skills utilized by male OnlyFans creators as they curate not only their bodies but also their sexualities in order to attract subscribers and maximize profits.FindingsMapping the relationship between entrepreneurialism and masculinity on OnlyFans is significant considering the platform’s popularity and the changing nature of digital entrepreneurship. Drawing connections to previous research on working-class entrepreneurial masculinities, we highlight how male OnlyFans creators, who are largely from working-class backgrounds, are actively practicing entrepreneurial skills.Originality/valueWe foreground the work of social media creators as sexualized and aesthetic labour, making connections between digital entrepreneurship, working-class masculinity, sexuality, and (idealized) bodies. Our article concludes with making recommendations for future research on the study of gender and sexuality within for-profit digital entrepreneurship.
Rethinking resilience: a regression analysis study of the experiences of refugee and immigrant youth in Montreal
Authors: Gyan Charles , Chireh Batholomew , Oyinlola Oluwagbemiga 
Published: July 2024

Purpose
Refugee and immigrant youth (RIY) experience multifaceted challenges, but also have the potential to become resilient. Most of the existing literature focuses on the challenges these RIY face with limited attention to their agency and resilience. This study aims to assess the factors that predict RIY’s resilience among refugee and immigrant youth in Montreal, Canada.

Design/methodology/approach
A sample of 93 RIY in Montreal was surveyed. A questionnaire consisting of validated scales was used for data collection.

Findings
The study found a positive correlation between educational level, personal resilience and relational resilience (p < 0.001). However, ethnicity did not have a significant correlation with the participant’s general level of resilience (p > 0.001). Cultural, religious, family, community ties, age and time lived in Montréal were found to be predictors of general resilience, relational resilience and personal resilience of the RIY (p < 0.001).

Originality/value
The study concluded that factors such as cultural, religious and community ties are major predictors of the resilience of RIY in Montreal. Hence, the need for mental health practitioners and resettlement organizations that work with RIY to focus on reconceptualizing resilience to incorporate the cultural, religious and community ties of RIY. This will help in developing services and programs that are culturally sensitive and effective in fostering the resilience of RIY.
Exploring generative AI literacy in higher education: student adoption, interaction, evaluation and ethical perceptions
Authors: Chen Kong , Tallant April C. , Selig Ian 
Published: July 2024

Purpose
Current knowledge and research on students’ utilization and interaction with generative artificial intelligence (AI) tools in their academic work is limited. This study aims to investigate students’ engagement with these tools.

Design/methodology/approach
This research used survey-based research to investigate generative AI literacy (utilization, interaction, evaluation of output and ethics) among students enrolled in a four-year public university in the southeastern USA. This article focuses on the respondents who have used generative AI (218; 47.2%).

Findings
Most respondents used generative AI to generate ideas for papers, projects or assignments, and they also used AI to assist with their original ideas. Despite their use of AI assistance, most students were critical of generative AI output, and this mindset was reflected in their reported interactions with ChatGPT. Respondents expressed a need for explicit guidance from course syllabi and university policies regarding generative AI’s ethical and appropriate use.

Originality/value
Literature related to generative AI use in higher education specific to ChatGPT is predominantly from educators’ viewpoints. This study provides empirical evidence about how university students report using generative AI in the context of generative AI literacy.
How efficient are Indian banks? An application of stochastic frontier analysis
Authors: Khan Ahmad Shadab , Akhtar Shakeb , Alam Mahfooz 
Published: July 2024

Purpose
This study aims to investigate the efficiency of Indian commercial banks from 2002 to 2018 using the stochastic frontier analysis.

Design/methodology/approach
This study uses the parametric approach of the stochastic frontier to examine the technical efficiency of banks acknowledging exogenous shocks, omitted variables and measurement errors, filling a gap in the existing financial literature. The scope of this study was constrained to 71 scheduled commercial banks to make it manageable and productive with 1,036 observations.

Findings
The results show that the mean technical efficiency of new private banks remained constant at 92.7% during the study period because of technology diffusion in banking systems. The technical efficiency of the nationalized, old private and foreign banks has enhanced over the period because of the efficient utilization of various innovative information technology services such as mobile banking, cheque truncation system, magnetic ink character recognition. However, the foreign banks are still laggards with a mean technical efficiency of 81.7%. The empirical findings suggest that new private sector banks depict higher efficiency than nationalized, old private and foreign banks.

Research limitations/implications
This study’s sample represents all categories of banks (public, private and foreign) including the banks that merged or consolidated during the period of study. To achieve the desired results, the authors incorporate the consolidated and merged banks in their data set. Further, the authors excluded all scheduled small finance banks and scheduled payment banks from their analysis, as these entities commenced operations post-2015. Additionally, the authors also excluded regional rural banks because of their distinct mandate aimed at servicing the rural populace and agricultural sector.

Originality/value
This study contributes to the literature on the performance of conventional banks in general and emerging markets, in particular, using the most recent data and covering a relatively long period using the stochastic frontier approach.
Exploring team collaboration in the metaverse from a human capital perspective
Authors: Hendriks Patrick , Olt Christian M. , Sturm Timo , Moos Clara C. 
Published: July 2024

PurposeWe aim to help better understand how organizations can develop their human capital in virtual teams through technological advances in the metaverse. To this end, we examine how virtual team collaboration with virtual reality technologies in the metaverse compares to traditional videoconferencing. Our study demonstrates how the metaverse can facilitate collaboration in virtual teams and examines the factors that are critical to successful team collaboration in the metaverse.Design/methodology/approachWe conduct a lab experiment comparing Meta Horizon Workrooms with Zoom. Using a between-subjects design, we observe virtual team collaboration in five teams. All teams solved the Lost on the Moon Exercise used by NASA to train teamwork. We collected data during and after the experiment to explore emerging collaborative behaviors based on audio and video recordings, a quantitative survey, and qualitative feedback.FindingsWe find higher levels of immersion, social presence, and collaboration among team members in the metaverse. We further identify new opportunities for social interaction and greater focus on team members and shared tasks. Our study suggests that the metaverse can enable effective collaboration in virtual teams and uncovers related guidance for organizations.Originality/valueWe connect the research streams on the metaverse, team collaboration, and human capital. We add empirical evidence to the largely theoretical discussion on the metaverse and explore collaboration tools for virtual teams, helping to enable effective collaboration of organizations’ virtual teams. We hope to stimulate further research to unlock the full collaborative potential of the metaverse and establish the metaverse for effective development of human capital.
Discovering public attitudes and emotions toward educational robots through online reviews: a comparative analysis of Weibo and Twitter
Authors: Wang Qian , Wan Yan , Feng Feng , Peng Ziqing , Luo Jing 
Published: July 2024

PurposePublic reviews on educational robots are of great importance for the design, development and management of the most advanced robots with an educational purpose. This study explores the public attitudes and emotions toward educational robots through online reviews on Weibo and Twitter by using text mining methods.Design/methodology/approachOur study applied topic modeling to reveal latent topics about educational robots through online reviews on Weibo and Twitter. The similarities and differences in preferences for educational robots among public on different platforms were analyzed. An enhanced sentiment classification model based on three-way decision was designed to evaluate the public emotions about educational robots.FindingsFor Weibo users, positive topics tend to the characteristics, functions and globalization of educational robots. In contrast, negative topics are professional quality, social crisis and emotion experience. For Twitter users, positive topics are education curricula, social interaction and education supporting. The negative topics are teaching ability, humanistic care and emotion experience. The proposed sentiment classification model combines the advantages of deep learning and traditional machine learning, which improves the classification performance with the help of the three-way decision. The experiments show that the performance of the proposed sentiment classification model is better than other six well-known models.Originality/valueDifferent from previous studies about attitudes analysis of educational robots, our study enriched this research field in the perspective of data-driven. Our findings also provide reliable insights and tools for the design, development and management of educational robots, which is of great significance for facilitating artificial intelligence in education.
Residents’ preferences for tourism development in a protected area: a choice experiment
Authors: Ojijo Cynthia Richter , Steiger Robert 
Published: July 2024

Purpose
This study aims to reveal residents’ individual perceptions of nature-based destination development and preferences for infrastructure and tourism superstructure development among communities that rely heavily on wildlife tourism.

Design/methodology/approach
A discrete choice experiment (DCE) was used among the Maasai community based in the villages and towns near the Maasai Mara National Reserve in Kenya. The attributes included type of tourism accommodation, location of tourism accommodations, types of access roads (tarmac or marram), tourist numbers and desired land-use options (between tourism development, livestock grazing and agriculture). A DCE analysis with hierarchical Bayes estimation was performed.

Findings
It revealed that the introduction to land-use restrictions and the location of tourism accommodations were the most important attributes for the respondents, with average importance values of 30.36% and 24.02%, respectively. A significant less important attribute was the types of access roads with an average importance of just 8.38%. Cluster analysis revealed widespread heterogeneity in preferences.

Research limitations/implications
The survey-based DCE was conducted in the Maasai Mara National Reserve, Kenya, and therefore may not be relevant in other contexts. The focus was also only on the residents’ preferences. The findings broaden the knowledge on tourism developments and residents’ support for development and management of protected areas.

Practical implications
For policymakers, conservation practitioners and tourism businesses, this study provides a source of reference for understanding the development preferences of the Maasai community. In general, the study contributes to a better understanding of local communities in relations to tourism development and residents’ support for developments and management of protected areas (PAs).

Originality/value
This study fills the gap in the literature on tourism development and residents’ support for developments in PAs by presenting some limits of acceptable and desirable use of PAs among a community that has a complex coexistence with a wildlife tourism destination. It provides an alternative perspective for future research by examining residents’ choice towards destination development and preferences for infrastructure and tourism superstructure development using an experimental approach.
An imaging condition for acoustic reverse time migration with implicit angle‐dependent weighting factors and its extended applications for imaging elastic P–P and S–S data
Authors: Han Bingkai , Mao Weijian , Ouyang Wei , Zhang Qingchen , Lei Tao 
Published: July 2024

AbstractThe imaging condition is a crucial component of the reverse time migration. In its conventional form, it involves cross‐correlating the extrapolated source‐ and receiver‐side wavefields. Effective imaging conditions are usually developed to suppress imaging artefacts (e.g. low‐wavenumber artefacts) and enhance the image quality. For acoustic reverse time migration, not only the scalar pressure but also their spatial and/or time derivatives are used in the imaging condition, similar to the gradient terms of adjoint tomography. These operations implicitly introduce additional angle‐domain weighting factors to the image results. In this study, based on an analysis of angle‐dependent properties of the existing imaging conditions, we propose a new imaging condition tailored for acoustic reverse time migration. It can be implemented efficiently using the variables within the finite‐difference solver. Without explicitly measuring wave propagation directions, the proposed imaging condition can naturally suppress the low‐wavenumber artefacts while maintaining a relatively wider imaging aperture, thereby corresponding to a broader wavenumber sampling range. Additionally, the evolved imaging conditions for imaging elastic P–P and S–S scattering and reflections are also formulated. In the angle domain, we conduct a comparative analysis between existing imaging conditions and the newly proposed ones. Various numerical examples are provided to demonstrate the advantages of the new imaging conditions. A comprehensive understanding of their angle‐domain properties may be further beneficial to constructing reasonable inversion strategies for full waveform inversion.
Using a Centroid‐based approach for a reliable identification of morels (Morchella spp.): A case study for food authentication
Authors: Cravero Melissa , Ruelle Jean , Bindschedler Saskia , Emler Stefan , Junier Pilar 
Published: July 2024

AbstractFood fraud is a problematic yet common phenomenon in the food industry. It impacts numerous sectors, including the market of edible mushrooms. Morel mushrooms are prized worldwide for their culinary and medicinal use. They represent a taxonomically complex group in which food fraud has already been reported. Among the methods to evaluate food fraud, some rely on comparisons of genetic sequences obtained from a sample to existing databases. However, the quality and usefulness of the results are limited by the type of comparison tool and the quality of the database used. The Centroid‐based approach is applied by SmartGene in a proprietary artificial intelligence‐based method for the generation of automatically curated reference databases that can be further expert curated. In this study, using sequences of the ribosomal internal transcribed spacer (ITS) of the genus Morchella (true morels), we compared this approach to the traditional pairwise alignment tool using two other databases: UNITE and Mycobank (MLST). The Centroid‐based approach using an expert‐curated database was more performant for the identification of 53 representative ITS sequences corresponding to validated species (83% accuracy, compared to 36% and 47% accuracy for UNITE and MLST, respectively). The Centroid method also revealed an inaccurate taxonomic annotation for sequences of commercial cultivars submitted to public databases. Combined with the web‐based commercial software IDNS® available at Smartgene, the Centroid‐based approach constitutes a valuable tool to ensure the quality of morel products on the market for actors of the food industry.Practical ApplicationThe Centroid‐based approach can be used by agri‐food actors who need to identify true morels down to the species level without any prior taxonomical knowledge. These include routine laboratories of the food industry, food distributors, and public surveillance agencies. This is a reliable method that requires minimal skills and resources, therefore being particularly adapted for nonspecialists.
The effect of securities litigation risk on firm value and disclosure
Authors: Donelson Dain C. , Hutzler Christian M. , Monsen Brian R. , Yust Christopher G. 
Published: July 2024

AbstractCritics assert that securities class actions are economically burdensome and yield minimal recoveries, whereas proponents claim they deter wrongdoing. We examine key events in the recent Goldman Sachs Supreme Court case to test the net effect of securities litigation risk on shareholder value. We find that investors view securities class actions as value‐increasing. However, the strength of this effect varies based on external monitoring. Investors view securities class actions as more value‐enhancing when institutional ownership is low. We also use this setting to examine the effect of securities litigation risk on mandatory disclosure because the Goldman Sachs case focuses on mandatory disclosure properties. Using a difference‐in‐differences design, we find firm risk factor disclosures become shorter and less similar to industry peers, and they contain more uncertain and weak terms. Overall, our results show nuanced effects of securities litigation risk on shareholder value and firm disclosure.