bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adaptation and validation of the Polish version of the team boosting behaviors scale
Authors: Haffer Joanna 
Published: March 2024

PurposeThe article aims to present the results of adapting the team boosting behaviors (TBB) scale to Polish cultural conditions and validating it.Design/methodology/approachThe research methodology consisted of three steps. In the first step, I translated the TBB scale into Polish using a rigorous back-translation method. Next, to assess content validity, nine domain experts reviewed the initial version of the instrument for clarity and relevance. Finally, I applied the scale to a sample of 532 team members and underwent thorough psychometric testing to assess construct validity. I employed structural equation modeling (SEM) with the partial least squares (PLS) factor-based algorithm technique for confirmatory factor analysis to assess the scale’s reliability and validity.FindingsAfter development, the Polish version of the TBB scale kept its three sub-scale structures. However, the validation process led to a slight reduction in the number of test items compared to the original scale.Research limitations/implicationsThe findings imply that the Polish version of the scale is a valid and reliable tool for assessing TBB. However, I recommend additional studies to confirm this instrument’s structure.Originality/valueThe results confirmed the reliability and relevance of the tool for measuring TBBs in Polish cultural conditions. The tool provides the basis for implementing further research with the TBB construct in Poland and internationally.
Cryptocurrencies as a means of payment in online shopping
Authors: Al Reshaid Faisal , Tosun Petek , Yanar Gürce Merve 
Published: March 2024

Purpose
Cryptocurrencies are becoming increasingly attractive as alternatives to traditional currencies. Although many retailers accept cryptocurrencies as a means of payment in online shopping, consumers’ cryptocurrency adoption intention in online shopping (CCAI) is still low. This study aims to investigate the influence of attitudes, subjective norms, consumer trust, financial literacy and fear of missing out (FOMO) on CCAI.

Design/methodology/approach
A quantitative research approach was followed using a consumer survey. Hypothesized relationships were tested through regression and mediation analyses.

Findings
The results revealed that consumers could accept cryptocurrencies as a means of payment in online shopping. Attitudes, subjective norms, consumer trust and financial literacy directly and positively influence CCAI, while they indirectly affect CCAI through the mediating impact of FOMO.

Practical implications
Marketing managers should improve consumers’ knowledge about cryptocurrencies and trust in online shopping to increase CCAI. Social media marketing can be appropriate, while the advertising content can address keeping up with others and staying connected.

Originality/value
This study addresses a critical gap in the literature by empirically examining the antecedents of CCAI within an original conceptual model based on the theoretical framework provided by the theory of planned behavior. Attitudes, subjective norms, trust and financial literacy influence CCAI, where FOMO plays a significant role as a mediator.
The status of digital and information literacies in South Africa from 2016 to 2022: a literature review
Authors: Shibambu Amos , Mojapelo Samuel Maredi 
Published: March 2024

Purpose
In today’s information and knowledge society, it is indispensable for citizens to acquire the requisite digital and information literacy (IL) skills to search information independently to meet their multiple and diverse information needs. As a result of digitalisation in the world, development and acquisition of digital and information skills is critical even for students and learners to retrieve digitised and online information to meet or achieve their curriculum-related accomplishments. The purpose of this study is to investigate the status of the digital and information literacies in South Africa from 2016 to 2022.

Design/methodology/approach
This qualitative study used a scoping review approach to collect data from research articles, conference articles and textbooks on digital literacy and IL – published in the years ranging between 2016 and 2022 from Google Scholar.

Findings
The major findings revealed that majority of the citizens especially students and learners lack digital and IL skills to recognise when information is needed, to find, locate, evaluate and use the retrieved information to meet an information need in a particular situation or context. Practical implications of this study include the alignment of curricula towards information and communication technologies to face the everchanging digital information technologies.

Originality/value
The study used scoping literature review research where empirical studies were retrieved and selected to address the objectives. This study provided significant approaches regarding promoting information and digital literacies in developing countries such as South Africa.
The cryptocurrency conundrum: the emerging role of digital currencies in geopolitical conflicts
Authors: Tiwari Milind , Lupton Cayle , Bernot Ausma , Halteh Khaled 
Published: March 2024

Purpose
This paper aims to investigate technological innovations within the crypto space that have engendered novel financial crime risks and their potential utilization amidst geopolitical conflicts.

Design/methodology/approach
The theoretical paper uses an analysis of recent geopolitical events, with a key focus on using cryptocurrencies to undertake illicit activities.

Findings
The study found that cryptocurrencies and the innovations made within the crypto domain are used for both legitimate and illicit purposes, including money laundering, terrorism financing and sanction evasion.

Originality/value
This research contributes to understanding the critical role cryptocurrencies play amidst geopolitical conflicts and emphasizes the need for regulatory considerations to prevent their misuse. To the best of the authors’ knowledge, this paper is the first scholarly contribution that considers the evolving mechanisms afforded by cryptocurrencies amidst geopolitical conflicts in undertaking illicit activities.
How do gastronomic festivals trigger behavioral intentions? The role of hedonic and eudaimonic well-being
Authors: Keskin Emrah , Yayla Ozgur , Sezen Nevres , Dedeoğlu Bekir Bora 
Published: March 2024

PurposeGastronomic festivals are important events to bring people together around food-themed activities. This study aimed at determining the relationships between festival quality, memorable food experience, loyalty, behavioral intention, hedonic well-being, and eudaimonic well-being. In this study, festival quality is the independent variable that affects the memorable food experience, the memorable food experience is the independent variable that affects loyalty, and loyalty is the independent variable that affects behavioral intent. Hedonic well-being and eudaimonic well-being are moderating variables. Behavioral intention is the dependent variable, while memorable food experience and loyalty are both dependent and independent variables.Design/methodology/approachThe population consisted of local tourists visiting Orange Blossom Carnival held in Adana, Turkey. The survey technique and the convenience sampling method were preferred and 545 data were obtained.FindingsThe analysis results showed that all dimensions of the memorable food experience are strongly affected by festival quality. Plus, superior service approach and high value perception dimensions of the memorable food experience have significant effects on loyalty. Furthermore, destination loyalty was found to have a strong effect on behavioral intentions. Moreover, higher levels of Hedonic well-being (HWB) and Eudomenic well-being (EWB) were found to increase the effect of loyalty on behavioral intention; accordingly, the moderator roles of HWB and EWB were determined.Practical implicationsThis article provides information that the memorable dining experiences of festival visitors who attend the Orange Blossom Carnival in Adana affect the quality of the festival and their intentions to loyalty. In addition, in the study, it was found that the well-being of carnival visitors had a moderating role in the effect of their loyalty on their behavioral intentions. Therefore, this article provides information on how the food experiences and well-being of the visitors at the gastronomy festival will affect which factors.Originality/valueAccording to the findings, gastronomy-based events may affect tourists’ experiences, and tourists’ psychological well-being affects loyalty and behavioral intentions. Destination management organizations can learn about gastronomy-based festivals. The results of the study include a number of theoretical and practical findings for destination management organizations, festival managers, policy makers and academics working in the literature.
Aligning restaurants and artificial intelligence computing of food delivery service with product development
Authors: Wu Shu-Hua , Ku Edward C.S. 
Published: March 2024

Purpose
This study aims to analyze how restaurants' collaboration with mobile food delivery applications (MFDAs) affects product development efficiency and argues that technological capabilities moderate relational ties impact the joint decision-making and development efficiency of restaurant products.

Design/methodology/approach
A product development efficiency model was formulated using a resource-based view and real options theory. In all, 472 samples were collected from restaurants collaborating with MFDAs, and partial least squares structural equation modeling was applied to the proposed model.

Findings
The findings of this study indicate three factors are critical to the product development efficiency between restaurants and MFDAs; restaurants must develop a strong connection with the latter to ensure meals are consistently served promptly. Developers of MFDAs should use artificial intelligence analysis, such as order records of different genders and ages or various consumption attributes, to collaborate with restaurants.

Originality/value
To the best of the authors’ knowledge, this study is one of the few that considers the role of MFDAs as a product strategy for restaurant operations, and the factors the authors found can enhance restaurants’ product development efficiency. Second, as strategic artificial intelligence adaptation changes, collaborating firms and restaurants use such applications for product development to help consumers identify products.
Impact of the assertive and advisory role of internal auditing on proactive measures to enhance cybersecurity: evidence from GCC
Authors: Elmaasrawy Hamada Elsaid , Tawfik Omar Ikbal 
Published: March 2024

Purpose
This paper aims to examine the impact of the assurance and advisory role of internal audit (ADRIA) on organisational, human and technical proactive measures to enhance cybersecurity (CS).

Design/methodology/approach
The questionnaire was used to collect data for 97 internal auditors (IAu) from the Gulf Cooperation Council countries. The authors used partial least squares (PLS) to test the hypotheses.

Findings
The results show a positive effect of the ADRIA on each of the organisational proactive measures, human proactive measures and technical proactive measures to enhance CS. The study also found a positive effect of the confirmatory role of IA on both human proactive measures and technical proactive measures to enhance CS. No effect of the confirmatory role of IA on the organisational proactive measures is found.

Research limitations/implications
This study focused on only three proactive measures to enhance CS, and this study was limited to the opinions of IAu. In addition, the study was limited to using regression analysis according to the PLS method.

Practical implications
The results of this study show that managers need to consider the influential role of IA as a value-adding activity in reducing CS risks and activating proactive measures. Also, IAu must expand its capabilities, skills and knowledge in CS auditing to provide a bold view of cyber threats. At the same time, the institutions responsible for preparing IA standards should develop standards and guidelines that help IAu to play assurance and advisory roles.

Originality/value
To the best of the authors’ knowledge, this is the first study of its kind that deals with the impact of the assurance and ADRIA on proactive measures to enhance CS. In addition, the study determines the nature of the advisory role and the assurance role of IA to strengthen CS.
Unveiling metaverse sentiments using machine learning approaches
Authors: Natarajan Thamaraiselvan , Pragha P. , Dhalmahapatra Krantiraditya , Veera Raghavan Deepak Ramanan 
Published: March 2024

PurposeThe metaverse, which is now revolutionizing how brands strategize their business needs, necessitates understanding individual opinions. Sentiment analysis deciphers emotions and uncovers a deeper understanding of user opinions and trends within this digital realm. Further, sentiments signify the underlying factor that triggers one’s intent to use technology like the metaverse. Positive sentiments often correlate with positive user experiences, while negative sentiments may signify issues or frustrations. Brands may consider these sentiments and implement them on their metaverse platforms for a seamless user experience.Design/methodology/approachThe current study adopts machine learning sentiment analysis techniques using Support Vector Machine, Doc2Vec, RNN, and CNN to explore the sentiment of individuals toward metaverse in a user-generated context. The topics were discovered using the topic modeling method, and sentiment analysis was performed subsequently.FindingsThe results revealed that the users had a positive notion about the experience and orientation of the metaverse while having a negative attitude towards the economy, data, and cyber security. The accuracy of each model has been analyzed, and it has been concluded that CNN provides better accuracy on an average of 89% compared to the other models.Research limitations/implicationsAnalyzing sentiment can reveal how the general public perceives the metaverse. Positive sentiment may suggest enthusiasm and readiness for adoption, while negative sentiment might indicate skepticism or concerns. Given the positive user notions about the metaverse’s experience and orientation, developers should continue to focus on creating innovative and immersive virtual environments. At the same time, users' concerns about data, cybersecurity and the economy are critical. The negative attitude toward the metaverse’s economy suggests a need for innovation in economic models within the metaverse. Also, developers and platform operators should prioritize robust data security measures. Implementing strong encryption and two-factor authentication and educating users about cybersecurity best practices can address these concerns and enhance user trust.Social implicationsIn terms of societal dynamics, the metaverse could revolutionize communication and relationships by altering traditional notions of proximity and the presence of its users. Further, virtual economies might emerge, with virtual assets having real-world value, presenting both opportunities and challenges for industries and regulators.Originality/valueThe current study contributes to research as it is the first of its kind to explore the sentiments of individuals toward the metaverse using deep learning techniques and evaluate the accuracy of these models.
The bundling sales pricing strategy of the closed-loop supply chain under patent protection
Authors: Cao Xiaogang , Zhang Cuiwei , Liu Jie , Wen Hui , Cao Bowei 
Published: March 2024

PurposeThe purpose of this article is based on the unit patent license fee model in the closed-loop supply chain.Design/methodology/approachThis paper analyzes the impact of the bundling strategy of the retailer selling new products and remanufactured products on the closed-loop supply chain under the condition that the original manufacturer produces new products and the remanufacturer produces remanufacturing products.FindingsThe results show that alternative products can be bundled, and in many cases, the bundling of remanufactured products and new products is better than selling alone.Originality/valueIf the retailer chooses bundling, for the remanufacturer, when certain conditions are met, the benefits of bundling are greater than the separate sales at that time; for the original manufacturer, when the recycling price sensitivity coefficient is high, the bundling is better than separate sales.
Intertwined rural and urban policing in the local communities of the Pomurje region in Slovenia
Authors: Eman Katja , Ivančić Damir , Bagari Dejan 
Published: March 2024

PurposeThe purpose of the paper is to present the results of research in the region covered by the Murska Sobota Police Directorate based on semi-structured interviews we conducted with community policing officers in the rural and urban areas of Pomurje.Design/methodology/approachCommunity policing is one of the more recent (yet hardly new) ways of ensuring security. It focuses on collaboration between citizens and the police, the joint identification of security issues and resolving them. Not long ago, it was established that policing varies depending on geographical criteria, specifically the urbanisation of the environment since police work in cities is often very narrowly specialised compared to in a rural environment. We were therefore interested in whether the Pomurje region also shows that it is easier to practise community policing in rural areas compared to cities.FindingsThe research results confirm previous findings; namely, that in urban areas approximately two-thirds of the population does not know the community policing officer, leading to the mutual cooperation between residents and the police being poorer than in rural areas. The conclusion describes ways of improving the established situation facing Pomurje.Research limitations/implicationsWe see the limitations of the study in the peculiarities of the Pomurje region; therefore the results cannot be generalised and applied in areas of other police directorates.Originality/valueThe survey offers insight into rural and urban policing in the Pomurje region at the same time, focusing on possibilities for improvements.
Artificial intelligence-based surrogate model for computation of the electric field of high voltage transmission line ceramic insulator with corona ring
Authors: Alipour Bonab Shahin , Sadeghi Alireza , Yazdani-Asrami Mohammad 
Published: March 2024

Purpose
The ionization of the air surrounding the phase conductor in high-voltage transmission lines results in a phenomenon known as the Corona effect. To avoid this, Corona rings are used to dampen the electric field imposed on the insulator. The purpose of this study is to present a fast and intelligent surrogate model for determination of the electric field imposed on the surface of a 120 kV composite insulator, in presence of the Corona ring.

Design/methodology/approach
Usually, the structural design parameters of the Corona ring are selected through an optimization procedure combined with some numerical simulations such as finite element method (FEM). These methods are slow and computationally expensive and thus, extremely reducing the speed of optimization problems. In this paper, a novel surrogate model was proposed that could calculate the maximum electric field imposed on a ceramic insulator in a 120 kV line. The surrogate model was created based on the different scenarios of height, radius and inner radius of the Corona ring, as the inputs of the model, while the maximum electric field on the body of the insulator was considered as the output.

Findings
The proposed model was based on artificial intelligence techniques that have high accuracy and low computational time. Three methods were used here to develop the AI-based surrogate model, namely, Cascade forward neural network (CFNN), support vector regression and K-nearest neighbors regression. The results indicated that the CFNN has the highest accuracy among these methods with 99.81% R-squared and only 0.045468 root mean squared error while the testing time is less than 10 ms.

Originality/value
To the best of the authors’ knowledge, for the first time, a surrogate method is proposed for the prediction of the maximum electric field imposed on the high voltage insulators in the presence Corona ring which is faster than any conventional finite element method.
Telling abortion stories: The life of Florence P. Evans (1913–1935)
Authors: Stamler Hannah M. 
Published: March 2024

AbstractThis short article provides a coda to the special forum on ‘Reproductive Rights Beyond Roe’. It merges the history of abortion with what Stéphane Gerson calls ‘personal family history’ to consider how historians should imagine, remember and narrativise histories of abortions within their own families and networks of kin. The article does this by way of exploring the life of Florence P. Evans, the author's great aunt, who died of abortion‐related complications in 1935 at the age of twenty‐two years.
A study on the estimation of area of origin of swing cast‐off pattern
Authors: Lee Sang‐Yoon , Lim Hwa‐Seon , Yie Ho‐Yong , Rhee Ki‐Jong , Kim Sung‐Min , Seo Young‐Il 
Published: March 2024

AbstractIn bloodstain pattern analysis (BPA), a field of forensic science, there has been active discussion on the estimation of the area of origin of impact spatter. However, there is no established methodology to quantitatively analyze the area of origin of a swing cast‐off pattern. To quantitatively analyze the methodology of previous research on estimation of area of origin, a device for generating uniform swing cast‐off patterns was produced. Using artificial blood, 10 swing cast‐off patterns were generated on porous paper; in each, 10 blood drops were selected for the calculation of the impact angle. Hemospat software was used for individual bloodstain analysis, and an open source code was used for estimation of area of origin. Under the same conditions, an additional 10 swing cast‐off patterns were generated, and quantitative analysis was performed using trigonometric functions and an adjustment formula that minimized errors in calculating the impact angle. The adjustment formula was corrected to calculate the impact angle for the bloodstains on the porous surface. As uncertainty decreases, the error increases, and the point at which both uncertainty and error can be minimized is calculated as 75%. The existing formula included the trajectory in the estimated likelihood range in 75% of samples. When the adjustment formula was applied, the accuracy was improved, with the trajectory included in the area with a 90% likelihood.