bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of robots service quality on customers' acceptance in restaurants
Authors: Shah Tejas R. , Kautish Pradeep , Mehmood Khalid 
Published: July 2023

PurposeThis study aims to examine the impact of AI service robots on restaurant customers' engagement and acceptance and the moderating role of robot anthropomorphism on the relationship between AI robot service quality and customer engagement.Design/methodology/approachUsing a three-wave time-lagged design, 416 customers of service robots-enabled restaurants participated in the study. Mplus was used to examine the hypotheses.FindingsThe results confirmed that customers' perception regarding automation, personalization, efficiency and precision of robot service quality determine customer engagement, which further influences customer acceptance of AI service robots. Additionally, robot anthropomorphism moderates the relationships between AI robot service quality in terms of automation, personalization, efficiency and precision and customer engagement. This study confirms that AI service robots-customer engagement contributes to better acceptance of AI service robots.Practical implicationsThe proposed framework can be used as a diagnostic tool to enhance customer acceptance of AI service robots in restaurant settings. This research provides guidelines to restaurant owners to employ AI service robots in front-line services that provide better quality, ultimately enhancing customer engagement and acceptance.Originality/valueThis study fills the gap in the literature by investigating the influence of AI robot service quality on customer engagement and customer acceptance with the moderating effect of robot anthropomorphism in an emerging market context.
The multilevel intelligent career framework: an exploration and application to skilled migrants
Authors: Crowley–Henry Marian , Almeida Shamika , Bertone Santina , Gunasekara Asanka 
Published: July 2023

PurposeSkilled migrants' careers are heterogeneous, with existing theories capturing only some of their diversity and dynamic development over time and circumstance. This paper aims to draw out the multilevel (macro, meso and micro levels) influences impacting skilled migrants' careers by using the lens of the intelligent career framework. Furthermore, structuration theory captures the agency of skilled migrants facing different social structures at and across levels and explains the idiosyncratic nature of skilled migrants' careers.Design/methodology/approachFollowing an abductive approach, this paper examines the career influences for a sample of 41 skilled migrants in three different host countries. Individual career stories were collected through qualitative interviews. Important career influences from these narratives are categorised across the intelligent career competencies (knowing why, how and whom) at the macro, meso and micro levels.FindingsFindings illustrate the lived reality for skilled migrants of these interrelated multilevel career influences and go some way in elucidating the heterogeneity of skilled migrants' careers and outcomes. The interplay of individual agency in responding to both facilitating and challenging social structures across the multilevels further explains the idiosyncratic nature of skilled migrants' careers and how/whether they achieve satisfying career outcomes. Some potential policy implications and options arising from these findings are suggested.Originality/valueBy considering multilevel themes that influence skilled migrants' career capital, the authors were able to better explain the complex, relational and idiosyncratic shaping of their individual careers. As such, the framework informs and guides individuals, practitioners and organisations seeking to facilitate skilled migrants' careers.
A generalized CAS wavelet method for solving ψ-Caputo fractional differential equations
Authors: Saeed Umer 
Published: July 2023

PurposeThe purpose of the present work is to introduce a wavelet method for the solution of linear and nonlinear psi-Caputo fractional initial and boundary value problem.Design/methodology/approachThe authors have introduced the new generalized operational matrices for the psi-CAS (Cosine and Sine) wavelets, and these matrices are successfully utilized for the solution of linear and nonlinear psi-Caputo fractional initial and boundary value problem. For the nonlinear problems, the authors merge the present method with the quasilinearization technique.FindingsThe authors have drived the orthogonality condition for the psi-CAS wavelets. The authors have derived and constructed the psi-CAS wavelets matrix, psi-CAS wavelets operational matrix of psi-fractional order integral and psi-CAS wavelets operational matrix of psi-fractional order integration for psi-fractional boundary value problem. These matrices are successfully utilized for the solutions of psi-Caputo fractional differential equations. The purpose of these operational matrices is to make the calculations faster. Furthermore, the authors have derived the convergence analysis of the method. The procedure of implementation for the proposed method is also given. For the accuracy and applicability of the method, the authors implemented the method on some linear and nonlinear psi-Caputo fractional initial and boundary value problems and compare the obtained results with exact solutions.Originality/valueSince psi-Caputo fractional differential equation is a new and emerging field, many engineers can utilize the present technique for the numerical simulations of their linear/non-linear psi-Caputo fractional differential models. To the best of the authors’ knowledge, the present work has never been introduced and implemented for psi-Caputo fractional differential equations.
The role of social media marketing and social support in developing value co-creation intentions: a Couchsurfing community perspective
Authors: Rafi Arslan , Rehman Mohsin Abdur , Sharif Shahbaz , Lodhi Rab Nawaz 
Published: July 2023

Purpose
This study aims to empirically investigate the pathway to value co-creation intentions through social media marketing, social support and COVID-19 perception in the tourism context with a specific focus on Couchsurfing community.

Design/methodology/approach
A survey was conducted from foreign and domestic travellers who used Couchsurfing platform for their recent travel, and were approached using an online survey (n = 229) and structural equation modelling used for hypothesis testing.

Findings
The findings indicate that value co-creation intentions follow a pathway through social media marketing and social support. Moreover, Couchsurfing community social support mechanisms play a crucial role in value co-creation intentions.

Originality/value
This study significantly contributes by taking Couchsurfing as a social networking application that provides both informational and functional support to the hardcore and active tourism and hospitality community.
Co-design for connected learning at scale: a cross-cultural review of guidance
Authors: Huber Elaine , Lê Ngoc Chi , Nguyen Thi-Huyen , Wall Tony 
Published: July 2023

PurposeDigital technologies can enable engagement online as well as in physical infrastructures like large lecture theatres. Avoiding a tech-first approach to curriculum design, this article reviews a key resource for the use of a pedagogy-first, co-design approach in a specific instance of developing curriculum for connected learning at scale.Design/methodology/approachThis article summarises key guidance for applying a co-design approach to a large educational transformation project (connected learning at scale) and reflects on the application in the UK (a developed economy) and in Vietnam (one of the fastest growing economies).FindingsThe guidance is found to reflect similar co-development processes in the UK and Vietnam, but adds additional layers of infrastructure and support to enable rich co-design processes. These are seen as proportionate given the impact of large-scale curricula.Originality/valueThis is the first time a review has been conducted from the perspective of different countries.
Invisible and yet hypervisible: gendered misconduct and the U.S. military
Authors: Erwin Stephanie K. , Cseh Maria 
Published: July 2023

Purpose
The representation of women throughout all levels of military service and the experiences of women in military service remains a challenge for the U.S. military. The purpose of this qualitative study was to understand the gendered experiences of active-duty senior enlisted women in the U.S. military. In particular, this paper addresses gendered misconduct and its implications for training and human resource development.

Design/methodology/approach
Informed by gendered organizations theory, feminist institutional theory and social learning theory, this interpretive qualitative study used document reviews and in-depth interviews with 12 active-duty senior enlisted women representing various occupational specialties within the four branches of the Department of Defense.

Findings
Findings included compelling stories of the gendered experiences of the participants’ related to organizational structures, institutional culture, gendered misconduct and learning to navigate as a woman. Gendered misconduct, to include sexual assault, sexual harassment and sex-based discrimination, particularly reflected the simultaneous visibility and invisibility of women in military service.

Originality/value
The findings of this study are consistent with extant literature and may be used to inform policy and regulatory efforts regarding gendered misconduct in the military. Otherwise, women in the military will remain invisible and yet hypervisible.
A roadmap focused on customer citizenship behavior for fast-food restaurants during COVID-19
Authors: Akgunduz Yilmaz , Nisari Mehmet Alper , Sungur Serpil 
Published: July 2023

PurposeThis study proposes a model that influences customer citizenship behavior during COVID-19, and empirically tests the effects of fast-food restaurant customers' perceptions of justice (price and procedural justice) on trust; trust on satisfaction and loyalty; and trust, satisfaction and loyalty on customer citizenship behavior. Furthermore, it was questioned whether there was a disparity between customer expectations based on the restaurant's image and consumption experience.Design/methodology/approachThe data were gathered from customers of fast-food restaurants in the shopping centers in Turkey. The data set, which included 437 valid questionnaires, was subjected to CFA for validity and reliability, SEM analysis for hypothesis and paired sample t-Tests for the research questions.FindingsThe findings of the study indicate that perceived justice affects customer trust, which, consequently, affects customer loyalty and satisfaction during the COVID-19 period. Findings also demonstrate that, while customer loyalty and trust increase customer citizenship behavior, customer satisfaction alone is insufficient to increase customer citizenship behavior. The study also shows that during the COVID-19 period, fast-food restaurants should have raised awareness of employees’ fair behaviors toward the customers and provided additional services to differentiate themselves in the market. Also, it indicates that customer expectations related to price, cleanliness and professional appearance of staff are not met after taking service.Originality/valueNo research has been found in the literature focusing on the expectations, justice, trust, satisfaction, loyalty and citizenship behaviors of fast-food restaurant customers in the COVID-19 pandemic process. Therefore, the results can fill the gap in relevant literature by testing the relationships between justice, trust, satisfaction, loyalty and citizenship during the pandemic and provide inferences for fast-food business owners.
Can nudging affect tourists’ low-carbon footprint travel choices?
Authors: Song Haiyan , Wu Hongrun , Zhang Hanyuan 
Published: July 2023

Purpose
This study aims to investigate low-carbon footprint travel choices, considering both destination attributes and climate change perceptions, and examine the impacts of nudging (a communication tool to alter individuals’ choices in a predictable way) on tourists’ preferences for carbon mitigation in destinations.

Design/methodology/approach
A discrete choice experiment questionnaire was administered to a sample of 958 Hong Kong respondents. Hybrid choice modeling was used to examine the respondents’ preferences for destination attributes and to explain preference heterogeneity using tourists’ climate change perceptions. The respondents’ willingness to pay for the destination attributes was also calculated to measure the monetary value of the attributes.

Findings
Destination type, carbon emissions and travel cost had significant effects on tourists’ choices of destination. Nudging increased tourists’ preference for low-carbon footprint choices. Tourists with higher climate change perceptions were more likely than others to select low-carbon destinations with carbon offset projects.

Practical implications
The findings of this study provide an impetus for destination management organizations to support local carbon offset projects, implement policies that mitigate carbon emissions and develop sustainable tourism to fulfill tourists’ demand for low-carbon footprint travel choices. Based on the findings, policymakers could promote sustainable tourism by publishing relevant climate change information on social media.

Originality/value
This study addressed a gap in the literature on tourist travel choice by considering carbon emission-related attributes and climate change perceptions and by confirming the role of nudging in increasing the choice of low-carbon destinations.
Sustainable green logistics and remanufacturing: a bibliometric analysis and future research directions
Authors: Nikseresht Ali , Golmohammadi Davood , Zandieh Mostafa 
Published: July 2023

PurposeThis study reviews scholarly work in sustainable green logistics and remanufacturing (SGLR) and their subdisciplines, in combination with bibliometric, thematic and content analyses that provide a viewpoint on categorization and a future research agenda. This paper provides insight into current research trends in the subjects of interest by examining the most essential and most referenced articles promoting sustainability and climate-neutral logistics.Design/methodology/approachFor the literature review, the authors extracted and sifted 2180 research and review papers for the period 2008–2023 from the Scopus database. The authors performed bibliometric and content analyses using multiple software programs such as Gephi, VOSviewer and R programming.FindingsThe SGLR papers can be grouped into seven clusters: (1) The circular economy facets; (2) Decarbonization of operations to nurture a climate-neutral business; (3) Green sustainable supply chain management; (4) Drivers and barriers of reverse logistics and the circular economy; (5) Business models for sustainable logistics and the circular economy; (6) Transportation problems in sustainable green logistics and (7) Digitalization of logistics and supply chain management.Practical implicationsIn this review, fundamental ideas are established, research gaps are identified and multiple future research subjects are proposed. These propositions are categorized into three main research streams, i.e. (1) Digitalization of SGLR, (2) Enhancing scopes, sectors and industries in the context of SGLR and (3) Developing more efficient and effective climate-neutral and climate change-related solutions and promoting more environmental-related and sustainability research concerning SGLR. In addition, two conceptual models concerning SGLR and climate-neutral strategies are developed and presented for managers and practitioners to consider when adopting green and sustainability principles in supply chains. This review also highlights the need for academics to go beyond frameworks and build new techniques and instruments for monitoring SGLR performance in the real world.Originality/valueThis study provides an overview of the evolution of SGLR; it also clarifies concepts, environmental concerns and climate change practices, particularly those directed to supply chain management.
Assessment of corporate social responsibility performance for Vietnamese construction organizations
Authors: Nguyen Minh Van 
Published: July 2023

Purpose
Corporate social responsibility (CSR) performance is critical to address construction activities’ environmental and social impacts. This study aims to evaluate the level of CSR implementation across various categories within the context of the Vietnamese construction industry.

Design/methodology/approach
The literature review and semi-structured interviews were conducted to determine Vietnamese construction organizations’ most commonly implemented CSR activities. A total of 252 valid responses were then obtained through a questionnaire survey. In addition, the fuzzy synthetic evaluation (FSE) method was used to evaluate the extent to which CSR categories have been implemented in construction companies.

Findings
The findings revealed 31 commonly implemented CSR activities of the Vietnamese construction firms, which were grouped into four categories. Of the four categories, the FSE analysis showed that stakeholder CSR was the most critical category, followed by ethical CSR, philanthropic CSR and environmental CSR.

Originality/value
This research provides valuable CSR activities to construction companies that intend to develop sustainably. Moreover, the proposed prioritization methodology offers practitioners a reliable and easy-to-use evaluation tool that clearly understands CSR performance within their organizations.
The effect of institutional environment on entrepreneurship in emerging economies: female entrepreneurs in Bangladesh
Authors: Sobhan Nawreen , Hassan Abeer 
Published: July 2023

Purpose
Female entrepreneurs have made increasing contributions to entrepreneurial activity and economic development worldwide, especially in emerging economies. It is well acknowledged that Bangladesh is one such South Asian emerging economy with many institutional and sociocultural challenges. This study aims to examine the effect of the institutional environment (formal and informal institutional factors) that influences female entrepreneurs in an emerging country, namely, Bangladesh.

Design/methodology/approach
The authors used a quantitative research method using a questionnaire. The authors established the conceptual framework reflecting a model so that they could test their assumptions among female entrepreneurs from an institutional perspective. The conceptual framework was empirically tested and validated. Consequently, this study comprised 324 usable survey responses. To analyse the quantitative data, partial least squares-structural equation modelling was used.

Findings
The findings highlight that social networks, access to finance and non-economic support have negative and insignificant effects on informal female entrepreneurs. Conversely, entrepreneurial attitudes, cultural context, institutional policy, family roles and education were positive and significant and found to be more important for female entrepreneurship in Bangladesh.

Originality/value
The results of this study offer empirical evidence of institutional factors as well as focus on three dimensions, women’s experiences from an institutional perspective, Asian culture and the operation of female entrepreneurial activity in an emerging economy (contextual perspective).
Brexit and the Death of Devolution
Authors: Morgan Kevin , Jones Richard Wyn 
Published: July 2023

AbstractDevolution was almost universally regarded as heralding a fundamental shift in the nature of the United Kingdom of Great Britain and Northern Ireland. But, since the 2016 Brexit referendum, the UK government has become increasingly hostile—not only towards the Labour and SNP‐run administrations in Scotland and Wales, but to the very existence of devolution. Recent legislative changes—particularly the UK Internal Market Act—have given central government carte blanche to intervene in what were previously regarded as areas of devolved competence. The inevitable result has been to render the governance arrangements for the devolved countries more adversarial and less stable than was previously the case. One immediate consequence of ‘the death of devolution’ has been to trigger calls by devolutionists for more far‐reaching changes to the state than were achieved in the late 1990s. It is far from clear, however, that such changes are politically achievable, raising the prospect of an extended period of stasis in which the current arrangements persist, not because they have any real supporters, but rather, because no alternative is possible.
A statistical approach to aid examiners in the forensic analysis of handwriting
Authors: Crawford Amy M. , Ommen Danica M. , Carriquiry Alicia L. 
Published: July 2023

AbstractWe develop a statistical approach to model handwriting that accommodates all styles of writing (cursive, print, connected print). The goal is to compute a posterior probability of writership of a questioned document given a closed set of candidate writers. Such probabilistic statements can support examiner conclusions and enable a quantitative forensic evaluation of handwritten documents. Writing is treated as a sequence of disjoint graphical structures, which are extracted using an automated and open‐source process. The graphs are grouped based on the similarity of their shapes through a K‐means clustering template. A person's writing pattern can be characterized by the rate at which graphs are emitted to each cluster. The cluster memberships serve as data for a Bayesian hierarchical model with a mixture component. The rate of mixing between two parameters in the hierarchy indicates writing style.
Evaluating the performance of genomic prediction accounting for effects of single nucleotide polymorphism markers in reproductive traits of Japanese Black cattle
Authors: Nishio Motohide , Arakawa Aisaku , Inoue Keiichi , Ichinoseki Kasumi , Kobayashi Eiji , Okamura Toshihiro , Fukuzawa Yo , Ogawa Shinichiro , Taniguchi Masaaki , Oe Mika , Takeda Masayuki , Ishii Kazuo 
Published: July 2023

AbstractWe examined the prediction accuracies of genomic best linear unbiased prediction (GBLUP), various weighted GBLUP according to the degrees of marker effects (WGBLUP) and machine learning (ML) methods, and compared them with traditional BLUP for age at first calving (AFC), calving difficulty (CD), and gestation length in Japanese Black cattle. For WGBLUP, firstly, BayesC and FarmCPU were used to estimate marker effects. Then, we constructed three weighted genomic relationship matrices from information of estimated marker effects in the first step: absolute value of the estimated marker‐effect WGBLUP, estimated marker‐variance WGBLUP, and genomic‐feature WGBLUP. For ML, we applied Gaussian kernel, random forest, extreme gradient boost, and support vector regression. We collected a total of 2583 animals having both phenotypic records and genotypes with 30,105 markers and 16,406 pedigree records. For AFC, prediction accuracies of WGBLUP methods using FarmCPU exceeded BLUP by 25.7%–39.5%. For CD, estimated marker‐variance WGBLUP using BayesC achieved the highest prediction accuracy. Among ML methods, extreme gradient boost, support vector regression, and Gaussian kernel increased prediction accuracies by 28.4%, 19.0%, and 36.4% for AFC, CD, and gestation length compared with BLUP, respectively. Thus, prediction performance could be improved using suitable WGBLUP and ML methods according to target reproductive traits for the population used.