bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genuine small talk in hospitality services encounter
Authors: Saragih Harriman Samuel 
Published: May 2024

Purpose
This study proposes “genuine small talk” in hospitality settings, particularly in coffee shops and its impact on enhancing guest experiences. This study aims to delineate how genuine small talk, characterized by sincerity, mutual respect, truthfulness and empathy, differs from traditional conversational engagements and influences service outcomes.

Design/methodology/approach
The study adopts a case research approach, focusing on the global coffee shop industry, particularly in high-context cultural settings. Using an abductive research paradigm, it intertwines theoretical concepts with empirical data gathered from face-to-face interviews with coffee shop visitors and managers. Data analysis involved qualitative coding techniques to synthesize and interpret findings related to genuine small talk.

Findings
Genuine small talk in hospitality, marked by sincerity, mutual respect, truthfulness and empathy, significantly enhances customer experiences. It transforms service encounters, turning negative experiences into positive ones and fostering customer loyalty. The study finds that genuine small talk is a strategic tool for emotional resonance and repeat patronage, yet its effectiveness depends on the staff’s ability to discern and adapt to customer moods and preferences.

Social implications
This study highlights that genuine interpersonal interactions are key to enhancing customer experiences in hospitality. These genuine exchanges, characterized by sincerity, mutual respect, truthfulness and empathy, not only improve the immediate service encounter but also foster long-term customer loyalty. By transforming transactional interactions into meaningful connections, genuine small talk serves as a strategic tool in the hospitality industry, potentially reshaping service dynamics and elevating the perceived value of customer service. This research underscores the importance of staff training in emotional intelligence and adaptability to customer preferences, crucial for implementing genuine small talk effectively.

Originality/value
This research contributes to the hospitality literature by elucidating the nuanced role of genuine small talk in service encounters. It extends existing discourses of service interactions by highlighting the potential of genuine small talk in fostering connections and enhancing guest experiences.
Equivalence class of complete correlation determination of several gray incidence degrees
Authors: Wei Yong , Xi Shasha 
Published: May 2024

PurposeThis paper sets out to solve a common and crucial fundamental theoretical problem of gray incidence cluster analysis: to [X]={X|ρ(X,Y)≥1−ε0} constitute an approximate classification, it must first be proven that [X]={X|ρ(X,Y)=1} constitutes a rigorous classification.Design/methodology/approachThis paper does not study the concrete expressions of various incidence degrees but rather the perfect correlation essence of such incidence degrees, that is, sufficient and necessary conditions.FindingsFor any order difference incidence degree, the similarity incidence degree, the direct proportion incidence degree, the parallel incidence degree and the nearness incidence degree, it is proven that the perfect correlation relation is an equivalence relation. The set composed of all sequences Y that are equivalent to sequences X is studied, that is, the equivalence class of X. The structure and mutual relations of these equivalence classes are discussed, and the topological homeomorphism concept of incidence degree is introduced. The conclusion is obtained that the equivalence classes of the two incidence degrees must be the same when the topological homeomorphism is obtained.Research limitations/implicationsIn this paper, only the perfect correlation relation of any order difference incidence degree, the similarity incidence degree, the direct proportion incidence degree, the parallel incidence degree and the nearness incidence degree are studied as equivalent relations.Originality/valueNot only are the research results of several incidence degrees involved in this paper original but also many other effective incidence degrees have not done this basic research, so this paper opens up a research direction with theoretical significance.
Hyperspectral estimation model of soil organic matter content based on principal gradient grey information
Authors: Xu Lu , Cao Shuang , Li Xican 
Published: May 2024

PurposeIn order to explore a new estimation approach of hyperspectral estimation, this paper aims to establish a hyperspectral estimation model of soil organic matter content with the principal gradient grey information based on the grey information theory.Design/methodology/approachFirstly, the estimation factors are selected by transforming the spectral data. The eigenvalue matrix of the modelling samples is converted into grey information matrix by using the method of increasing information and taking large, and the principal gradient grey information of modelling samples is calculated by using the method of pro-information interpolation and straight-line interpolation, respectively, and the hyperspectral estimation model of soil organic matter content is established. Then, the positive and inverse grey relational degree are used to identify the principal gradient information quantity of the test samples corresponding to the known patterns, and the cubic polynomial method is used to optimize the principal gradient information quantity for improving estimation accuracy. Finally, the established model is used to estimate the soil organic matter content of Zhangqiu and Jiyang District of Jinan City, Shandong Province.FindingsThe results show that the model has the higher estimation accuracy, among the average relative error of 23 test samples is 5.7524%, and the determination coefficient is 0.9002. Compared with the commonly used methods such as multiple linear regression, support vector machine and BP neural network, the hyperspectral estimation accuracy of soil organic matter content is significantly improved. The application example shows that the estimation model proposed in this paper is feasible and effective.Practical implicationsThe estimation model in this paper not only fully excavates and utilizes the internal grey information of known samples with “insufficient and incomplete information”, but also effectively overcomes the randomness and grey uncertainty in the spectral estimation. The research results not only enrich the grey system theory and methods, but also provide a new approach for hyperspectral estimation of soil properties such as soil organic matter content, water content and so on.Originality/valueThe paper succeeds in realizing both a new hyperspectral estimation model of soil organic matter content based on the principal gradient grey information and effectively dealing with the randomness and grey uncertainty in spectral estimation.
The dynamics of employability capitals for the transition to work: career identity, cultural capital, job interview self-efficacy and self-perceived employability
Authors: Petruzziello Gerardo , Nimmi P.M. , Mariani Marco Giovanni 
Published: May 2024

Purpose This study aims to understand how employability capitals’ dynamics foster self-perceived employability (SPE) among students and graduates, which is still being empirically explored. Building upon the Employability Capital Growth Model and the Social Cognitive Career Theory’s career self-management model, we aimed to understand how different capitals associate by testing a serial mediation model connecting career identity (reflecting career identity capital) and SPE through the serial mediation of cultural capital and job interview self-efficacy (ISE) (an element of psychological capital).Design/methodology/approach We adopted a two-wave design involving 227 Italian University students and graduates. We recruited participants through multi-channel communication. The hypothesised relationships were analysed employing the structural equation modelling approach with the SPSS AMOS statistical package.Findings The results indicated that career identity, cultural capital, ISE and SPE are meaningfully related. In particular, in line with our expectations, we observed that career identity predicts cultural capital, which is positively associated with ISE which, ultimately, impacts SPE.Originality/value Our work adds to existing research by advancing the understanding of employability capitals, explaining how they interact and influence SPE, which is crucial for a sustainable transition into the workforce. At a practical level, our findings call upon, and guide, efforts from various stakeholders in the graduate career ecosystem (i.e. universities and their partners) to offer students and graduates meaningful experiences to form and use their employability capitals.
Comparative study: perceptions of multiple education stakeholders on children with disabilities and goals of special education in Oman and the Philippines
Authors: Lee Young Ah , Francisco Marian Patricia Bea , Al-Said Shariffa Khalid Qais , Al Bulushi Muna Yousuf Abdullah , Wang Ye 
Published: May 2024

PurposeThis comparative study explored the perceptions of educational stakeholders in Oman and the Philippines concerning children with disabilities and the goals of special education. Stakeholders' perspectives can influence their professional behaviours and attitudes, which, in turn, can profoundly impact children with disabilities who already face numerous challenges. Hence, comprehending the viewpoints of these stakeholders is vital for fostering socially just education for individuals with disabilities.Design/methodology/approachThis study employed a qualitative comparative case study approach with a horizontal comparison strategy, and both convenience and purposeful sampling techniques were used for participant selection. The study involved 53 participants from both countries, including policymakers, teacher educators, in-service teachers and student teachers from general and special education domains. Data were gathered through individual interviews and themes were subsequently discerned via data analysis.FindingsDespite the different cultural and historical contexts and distinct roles of stakeholders in both countries, the results indicate more parallels than disparities in their perceptions. The primary congruence underscored in this research was imperative to critically assess the language and ideology surrounding the goals of special education, such as mainstreaming and normalisation.Originality/valueAlthough numerous studies have probed the perceptions of various educational stakeholders concerning children with disabilities and educational goals, there is limited research that encompasses the perspectives of the seven distinct stakeholder groups. The consistency of language usage across both countries and among all stakeholders underscores the need for a rigorous cross-country examination involving all educational participants.
An artificial neural network model for determining stress concentration factors for fatigue design of tubular T-joint under compressive loads
Authors: Rasul Adnan , Karuppanan Saravanan , Perumal Veeradasan , Ovinis Mark , Iqbal Mohsin 
Published: May 2024

PurposeThe stress concentration factor (SCF) is commonly utilized to assess the fatigue life of a tubular T-joint in offshore structures. Parametric equations derived from experimental testing and finite element analysis (FEA) are utilized to estimate the SCF efficiently. The mathematical equations provide the SCF at the crown and saddle of tubular T-joints for various load scenarios. Offshore structures are subjected to a wide range of stresses from all directions, and the hotspot stress might occur anywhere along the brace. It is critical to incorporate stress distribution since using the single-point SCF equation can lead to inaccurate hotspot stress and fatigue life estimates. As far as we know, there are no equations available to determine the SCF around the axis of the brace.Design/methodology/approachA mathematical model based on the training weights and biases of artificial neural networks (ANNs) is presented to predict SCF. 625 FEA simulations were conducted to obtain SCF data to train the ANN.FindingsUsing real data, this ANN was used to create mathematical formulas for determining the SCF. The equations can calculate the SCF with a percentage error of less than 6%.Practical implicationsEngineers in practice can use the equations to compute the hotspot stress precisely and rapidly, thereby minimizing risks linked to fatigue failure of offshore structures and assuring their longevity and reliability. Our research contributes to enhancing the safety and reliability of offshore structures by facilitating more precise assessments of stress distribution.Originality/valuePrecisely determining the SCF for the fatigue life of offshore structures reduces the potential hazards associated with fatigue failure, thereby guaranteeing their longevity and reliability. The present study offers a systematic approach for using FEA and ANN to calculate the stress distribution along the weld toe and the SCF in T-joints since ANNs are better at approximating complex phenomena than standard data fitting techniques. Once a database of parametric equations is available, it can be used to rapidly approximate the SCF, unlike experimentation, which is costly and FEA, which is time consuming.
What determines public attitudes toward immigration in the Middle East: an analysis at the individual level
Authors: Saleh Deena , Vergil Hasan 
Published: May 2024

PurposeSurveys in Europe show that immigration is more of a challenge than an opportunity for a significant number of people. However, little attention is given to attitudes toward immigration in the Middle East. This paper examines the effects of personal values and religiosity on the anti-immigration attitudes of citizens in the Middle East and North African countries.Design/methodology/approachUtilizing data from the World Values Survey, we analyze how personal values and religiosity affect anti-immigration attitudes in nine Middle Eastern countries. The data covers individual-level data of 9 MENA countries from the WVS Round 7 (2017–2022). Factor analysis is applied as a data reduction method. Afterward, an OLS regression analysis is conducted on the pooled data.FindingsAnti-immigration attitudes increase with age, education, and religiosity. Personal values such as national pride, support for nationals, and belongingness to one’s country significantly affect anti-immigration attitudes. Furthermore, the importance of religion as a measure of religiosity was found to be positively associated with anti-immigration attitudes.Originality/valueThis paper contributes to underexplored literature by investigating how individual-level determinants, such as demographic indicators, personal values, and religious factors, shape anti-immigration attitudes in the MENA context, distinct from European dynamics.
Islamic finance principles and performance of micro, small and medium enterprises (MSMEs) in Makindye Division Kampala District Central Uganda
Authors: Buyondo Hakimu 
Published: May 2024

Purpose
Micro, small and medium-sized enterprises (MSMEs) are vital for economic growth in developing countries. Yet, little research has explored the link between Islamic principles and MSME performance, especially in Uganda. This study aims to investigate the relationship between Islamic financial principles and MSMEs’ performance in Makindye Division Kampala – Uganda.

Design/methodology/approach
This study used a correlational research design involving 86 respondents from 30 MSMEs between January and May 2023. Data collected through questionnaires was analyzed with Statistical Package for Social Sciences, examining three independent variables: ethicality, Halal investment and prohibition of riba, in relation to MSME performance.

Findings
The results revealed significant relationships between these variables and MSME performance. Prohibition of riba (r = 0.296, n = 86, p = 0.006), Halal investments (r = 0.308, n = 86, p = 0.004) and ethical principles (r = 0.283, n = 86, p = 0.008) all exhibited a statistically significant relationship. Regression analysis with R = 0.405, R2 = 0.164 and adjusted R2 = 0.134 indicated that all hypothesized variables were significant predictors of MSME performance. Based on findings, this study rejected the null hypothesis, confirming a moderately positive and significant relationship between Islamic financial principles and MSME performance.

Originality/value
This study underscores the importance of active involvement from key stakeholders such as the Uganda Halal Bureau, Uganda Muslim Supreme Council, Islamic financial institutions and government agencies in integrating robust support mechanisms for MSMEs into their strategic frameworks. Such efforts could enhance Uganda’s economic landscape, aligning with the experiences of Malaysia and Indonesia in leveraging Islamic principles for economic growth.
Global logistics and supply chain integration in the digital era: a focus on China's Belt and Road Initiative
Authors: Wang Michael , Childerhouse Paul , Abareshi Ahmad 
Published: May 2024

PurposeTo delve into the integration of global logistics and supply chain networks amidst the digital transformation era. This study aims to investigate the potential role of China’s Belt and Road Initiative (BRI) in facilitating the integration of global flows encompassing both tangible goods and intangibles. Additionally, the study seeks to incorporate third-party logistics activities into a comprehensive global logistics and supply chain integration framework.Design/methodology/approachPrior research is synthesised into a global logistics and supply chain integration framework. A case study was undertaken on Yuan Tong (YTO) express group to investigate the framework, employing qualitative data analysis techniques. The study specifically examined the context of the BRI to enhance comprehension of its impact on global supply chains. Information was collected in particular to two types of supply chain flows, the physical flow of goods, and intangible information and cash flows.FindingsThe proposed framework aligns well with the case study, leading to the identification of global logistics and supply chain integration enablers. The results demonstrate a range of ways BRI promotes global logistics and supply chain integration.Research limitations/implicationsThe case study, with multiple examples, focuses on how third-party logistics firms can embrace global logistics and supply chain integration in line with BRI. The case study approach limits generalisation, further applications in different contexts are required to validate the findings.Originality/valueThe framework holds promise for aiding practitioners and researchers in gaining deeper insights into the role of the BRI in global logistics and supply chain integration within the digital era. The identified enablers underscore the importance of emphasising key factors necessary for success in navigating digital transformation within global supply chains.
Emergence of chambers in the Turkish history: the case of Dersaadet Chamber of Commerce (DCC) as a public-agent meta-organization, 1882–1929
Authors: Doğan Ali , Erçek Mehmet 
Published: May 2024

Purpose
Building on previous historical works, this study aims to develop a framework to represent chambers as meta-organizations and present the case of Dersaadet Chamber of Commerce (DCC), based on this framework, during its emergence and evolution in the late 19th and early 20th centuries.

Design/methodology/approach
In the study, a historical narrative was constructed from primary and secondary data. To complement data collected from the archives a systematic content analysis was used to explore the discourse of the chamber within its serial magazine.

Findings
It was found that the first chamber of the Ottoman Empire, DCC, was established according to the public law model as an extension of the economic context and the guild order, and it was observed that it increasingly conformed to this model between 1882 and 1929.

Originality/value
In this study, chamber models are examined for the first time according to the designated features of meta-organizational forms, built on the historical work on chambers. The case of DCC suggested that it adopted a public law model and displayed much continuity, even when significant transitions were observed during the modernization process from Ottoman Empire to Turkish Republic.
Global research trends in nursing leadership from 1985 to 2022: a bibliometric analysis
Authors: Chen Changchang , Zheng Xutong , Chen Wenjie , Mu Hezi , Zhang Man , Lang Hongjuan , Hu Xuejun 
Published: May 2024

Purpose
Developing nursing leadership has become a key policy priority to achieve universal health coverage. This study aims to explore the current status, developing trends and research frontiers in the field of nursing leadership.

Design/methodology/approach
In total, 1,137 articles and reviews on nursing leadership from 1985 to 2022 were retrieved from the Web of Science Core Collection database. Trends of publications, journals, countries/regions, institutions, documents and keywords were visualized and analyzed using Microsoft Excel and CiteSpace software.

Findings
Nursing leadership research showed an overall increase in number despite slight fluctuations in annual publications. The USA was the leading country in nursing leadership research, and the University of Alberta was the most productive institution. The Journal of Nursing Management was the most widely published journal that focused on nursing leadership, followed by the Journal of Nursing Administration. Keyword analysis showed that the main research hotspots of nursing leadership are improvement, practice and impact of nursing leadership.

Originality/value
This article summarizes the current state and frontiers of nursing leadership for researchers, managers and policy makers, as well as follow-up, development and implementation of nursing leadership. More research is needed that focuses on the improvement, practice and impact of nursing leadership, which are cyclical, complementary and mutually reinforcing. Longitudinal and intervention studies of nursing leadership, especially on patient prognosis, are also particularly needed.