bluuebunny/crossref_metadata_2025_split huggingface dataset:
Benchmarking the operational efficiency of Mexican hospitals – a longitudinal study
Authors: Pimentel Victor , Mora-Monge Carlo A. 
Published: February 2023

PurposeThis study aims to benchmark the operational efficiency of fifty-eight public hospitals across Mexico between 2015 and 2018 and identifies the most critical inputs affecting their efficiency. In doing so, the study analyzes the impact of policy changes in the Mexican healthcare system introduced in recent years.Design/methodology/approachTo measure the operational efficiency of Mexican public hospitals, data envelopment analysis (DEA) window analysis variable returns to scale (VRS) methodology using longitudinal data collected from the National Institute for Transparency and Access to Information (IFAI). Hospital groups are developed and compared using a categorization approach according to their average and most recent efficiency.FindingsResults show that most of the hospitals in the study fall in the moving ahead category. The hospitals in the losing momentum or falling behind categories are mostly large units. Hospitals with initially low efficiency scores have either increased their efficiency or at least maintained a steady improvement. Finally, the findings indicate that most hospitals classified as moving ahead focused on a single care area (cancer, orthopedic care, child care and trauma).Research limitations/implicationsThis study examined the technical efficiency of the Mexican healthcare system over a four-year period. Contrary to conventional belief, results indicate that most public Mexican hospitals are managed efficiently. However, recent changes in public and economic policies that came into effect in the current administration (2018) will likely have long-lasting effects on the hospitals' operational efficiency, which could impact the results of this study.Originality/valueTo the best of authors’ knowledge, this is the first study that examines the efficiency of the complex Mexican healthcare system using longitudinal data.
Endorsement on Instagram and cultural dimensions: an analysis of digital influencers
Authors: Silva Marianny Jessica de Brito , Farias Salomão Alencar de , Silva Claudine Julia 
Published: February 2023

Purpose
The purpose of this study is to understand the individualism/collectivism and masculine/feminine cultural aspects presented in the endorsement content made and shared by digital influencers on Instagram.

Design/methodology/approach
The authors conducted a cross-cultural qualitative study, collecting endorsement posts published by six fitness mega-influencers from Brazil and the USA. A total of 147 posts were assessed through the semiotic analysis of still images.

Findings
The authors identified that, in collectivist and feminine cultures, endorsements focus on the emotional competence of the digital influencer and the content aims at interaction, whereas in individualistic and masculine cultures, the posts highlight the informational competence of the influencer and the content focuses on the endorser's self-promotion.

Research limitations/implications
This study examined only two of the Hofstede's six cultural dimensions, limiting its scope. However, this study established a model that shows that the appeal of content posted by the influencer depends on individualism–collectivism dimension and the post symbolism is a result of the masculinity–femininity dimension. This study also identified the spectrum of appeal in messages and the role of advertising in building the influencer's narrative.

Practical implications
The authors identified cultural traits as an important criterion of congruence when choosing a brand endorser and as an element that impacts the marketing communication strategy in a social media environment. Therefore, this study suggests that organizations consider the influencer's culture as a criterion for choosing endorsers, which will guide the digital content strategy suited to the campaign's target audience.

Social implications
This study emphasizes the illusory effectiveness of the internet in the search for convergence, establishing that the digital environment still requires socialization that brings feelings of cultural engagement, especially through new social actors arising from virtual media. Still on the social side, this study suggests the reflection of the economic characteristics of a country together with its cultural dimensions.

Originality/value
This study fills a research gap from previous studies that provide empirical evidence on the impacts of cultural differences on social media behaviors. This research adds the impact of the influencer in this virtual environment to restructure the communication and information model, mold it according to the culture, acting as indicators of social transformation resulting from technological advances. This research still innovates by proposing a new methodological approach for semiotic analysis in digital media.
Insights on NGO brand equity: a donor-based brand equity model
Authors: Rios Romero Maria Jesus , Abril Carmen , Urquia-Grande Elena 
Published: February 2023

PurposeThe growth in the number of nongovernmental organizations (NGOs) worldwide has led to increased competition for donations. A stronger NGO brand equity will make donors more attracted to an organization, compelling them to increase both their donations and their commitment. The goal of this study is to propose a novel donor-based brand equity model. The present study takes into consideration the special characteristics that donors confer to NGOs—specific examples of nonprofit organizations (NPOs) that demand higher moral capital. The suggested framework considers the donor's perspective of NGO brand equity and identifies new dimensions: familiarity (recall, brand strength and brand identification), associations (authenticity, reputation and differentiation) and commitment (attitudinal, emotional) by building on previous NPOs and consumer-based brand equity models.Design/methodology/approachBased on the analysis of the literature, the authors propose an NGO donor-based brand equity model, which the authors test with a convenience sample of 137 individuals through partial least squares structural equation modeling.FindingsThe results of this study demonstrate the positive effects of brand reputation, brand differentiation, brand identification and brand commitment on donor-based brand equity.Practical implicationsThe novel proposed model will help NGO managers better understand the sources of brand equity from the donor's perspective and more efficiently manage their resources and activities to strengthen their NGO's brand equity.Originality/valueThis paper provides a novel, multidimensional NGO donor-based brand equity model that is oriented to the specific characteristics of NGOs; this orientation distinguishes it from previous NPOs and commercial brand equity models.
Revisiting the determinants of knowledge-sharing behavior in organizations: a meta-analytic structural equation model application
Authors: Zaremohzzabieh Zeinab , Mohd Rasdi Roziah 
Published: February 2023

Purpose
The existing literature on knowledge-sharing (KS) behavior in the organizational context demonstrates that there is diversity, if not divergence, in understanding KS. Thus, this paper aims to integrate social cognitive theory and social exchange theory to construct a research model for determining the incentive for knowledge sharing among individuals in organizations based on past empirical results.

Design/methodology/approach
Accordingly, the methodology adopted in this study is the meta-analytic structural equation modeling based on the data gathered from 78 studies (80 samples, n = 29,318).

Findings
The most significant predictors of KSB were organizational support and social interaction ties, whereby KS intention and attitude were most optimally predicted by organizational commitment, knowledge self-efficacy, social interaction ties, organizational expectancy and reciprocal benefit. This study carried out a moderation analysis to look into potential causes of inconsistent results.

Originality/value
This meta-analysis shows the most influencing factors that trigger KSB in organizations. Moreover, this study clarifies the possible reasons for the inconsistent findings of the previous studies. Thus, it contributes to the KS literature.
A systematic review of the available literature on the use of social media in brain tumor
Authors: Motahari-Nezhad Hossein 
Published: February 2023

Purpose
The use of social media is one of the new technological options that has been recommended as a potential new strategy for delivering high-quality, high-value cancer prevention and management services. Despite the increasing use of social media, little research has been done on the use of social media in brain tumors. Therefore, this systematic review aims to provide a comprehensive review of the use of social media in brain tumor research.

Design/methodology/approach
A systematic search was performed in PubMed, Scopus and Web of Science from inception to August 1, 2022. English full-text articles evaluating social media use, benefit or content in brain tumor were considered.

Findings
Sixteen documents satisfied the inclusion criteria and were included in the final analysis. Most of the included studies (n = 11/16) were conducted and published by researchers in the USA. In terms of social media platform, most studies focused on Twitter (8/16, 50%) and YouTube (8/16, 50%), followed by Facebook (6/16, 37.5%) and Instagram (4/16, 25%). Most studies (n = 7/12) analyzed the content of brain tumor information provided on social media, followed by patients’ use of social media (n = 3/12) and the quality of information on social media (n = 3/12). The other three articles also examined patient recruitment, crowdfunding and caregiver use of social media.

Practical implications
By identifying the use, benefits and content of social media platforms in different settings, patients, clinicians and policymakers can better benefit from harnessing the power of social media in different ways, leading to improved health-care services.

Originality/value
To the authors knowledge, this is the first study to systematically examine social media use, benefits and content status in brain tumors.
Relational resources for promoting restaurant employees’ thriving at work
Authors: Kim Haemi , Im Jinyoung , Shin Yeon Ho 
Published: February 2023

Purpose
This study aims to investigate the significant role of restaurant employees’ relational resources to promote thriving at work. The mediating effect of heedful relating was focused on as an underlying mechanism. This study also investigated the moderating effect of employees’ perceived COVID-19 impact on the hypothesized relationships.

Design/methodology/approach
The research model was tested with frontline restaurant employees working in full-service restaurants using the convenience sampling method. A self-administered questionnaire was used for an online survey. A total of 361 responses were analyzed with structural equation modeling, bootstrapping analysis and multi-group analysis.

Findings
The results showed the significant relationships not only between relational resources and thriving at work but also between relational resources and heedful relating. Heedful relating was significantly associated with thriving at work. The significant mediating effect of heedful relating was supported. The moderating effect of the perceived COVID-19 impact on the association between leader–member exchange and thriving was significant.

Research limitations/implications
Employees’ relational resources at work leads to thriving at work both directly and indirectly through the impact of heedful relating. The findings contributed to the literature on human resource management and hospitality. Moreover, the study presented implications for the restaurant industry to promote employees’ self-adaptation and development in a post-pandemic era.

Originality/value
With the study findings, the importance of relational aspects to foster restaurant employees’ thriving at work could be highlighted which reflects the unique nature of the restaurant industry.
A review of multilevel analysis in hospitality management
Authors: Pan Su-Ying 
Published: February 2023

Purpose
The purpose of this paper is twofold. The first is to review the extant literature on hospitality management by tracking past research patterns and critically reviewing the use of multilevel theory and techniques in this stream of research. The second is to suggest potential research opportunities to stimulate a leap forward in the current multilevel research.

Design/methodology/approach
To answer the four main research questions raised by the current review, the author performed a critical analysis of a total of 149 selected articles published between 2011 and 2021 in seven leading hospitality management journals.

Findings
Overall, the number of multilevel studies has increased significantly since 2017. However, some deficiencies remain: a lack of fit between the level of theory and the level of measurement, the revelation of insufficient information, misspecification of the multilevel model and small sample sizes at higher levels. Furthermore, several interesting and understudied topics are also identified as ripe for future investigation.

Research limitations/implications
In addition to encourage the scholars in hospitality management to assess the possibility of using the multilevel research design for their research topics, the current article also provides recommendations and opportunities for the future multilevel research.

Originality/value
This article is a pioneer in providing a critical synthesis of multilevel research in the field of hospitality management. Although reviews of the issues involved in multilevel research are available in the existing literature, none of them focuses on the situation and needs of hospitality management. As multilevel research increases in popularity, this review offers a snapshot of the introductory phase and outlines important issue in conducting such research.
Flood hazard assessment using design rainfall under climate change scenarios in the Kelantan River Basin, Malaysia
Authors: Tam Tze Huey , Abdul Rahman Muhammad Zulkarnain , Harun Sobri , Shahid Shamsuddin , Try Sophal , Jamal Mohamad Hidayat , Ismail Zamri , Razak Khamarrul Azahari , Ghani Mohd Khairolden , Abdul Wahab Yusrin Faiz 
Published: February 2023

Purpose
The present study aims to evaluate the effect of climate change on the flood hazard potential in the Kelantan River Basin using current and future scenarios.

Design/methodology/approach
The intensity-duration-frequency (IDF) was used to estimate the current 50- and 100-year return period 24-h design rainfall, and the climate change factor (CCF) was used to compute the future design rainfall. The CCF was calculated from the rainfall projections of two global climate models, CGCM1 and CCSM3, with different pre-processing steps applied to each. The IDF data were used in the rainfall-runoff-inundation model to simulate current and future flood inundation scenarios.

Findings
The estimated CCF values demonstrate a contrast, whereby each station had a CCF value greater than one for CGCM1, while some stations had a CCF value of less than one for CCSM3. Therefore, CGCM1 projected an aggravation and CCSM3 a reduction of flood hazard for future scenarios. The study reveals that topography plays an essential role in calculating the CCF.

Originality/value
To the best of the author’s knowledge, this is the first study to examine flood projections in the Kelantan River Basin. It is, therefore, hoped that these results could benefit local managers and authorities by enabling them to make informed decisions regarding flood risk mitigation in a climate change scenario.
Measuring teacher innovative behavior: a validated multidimensional inventory for use with public school teachers
Authors: Kuril Samvet , Maun Deepak , Chand Vijaya Sherry 
Published: February 2023

PurposeThe role of Teacher Innovative Behavior (TIB), in responding to systemic problems in educational systems and promoting “intrapreneurial” behavior has been recognized in recent times. A robust instrument that can help administrators and teacher educators gauge the levels of TIB among their teachers will facilitate the promotion of innovative behavior.Design/methodology/approachThis study tested a multidimensional innovative behavior inventory (IBI), innovation support inventory (ISI) and innovation output (IO) in a developing nation (India) context with public school teachers (n = 34,754), for reliability, validity, measurement invariance and structural invariance across caste, gender and subject groups.FindingsThe IBI, ISI and IO showed good reliability and validity along with full measurement invariance at configural, metric and scalar levels. With respect to the structural parameters, the inventories exhibited invariance of factor variance and covariance, but not of factor means.Practical implicationsTeacher innovative behavior (TIB) is seen by developing country education administrators as a tool to address difficult problems. With better measurement, it will be possible to identify teachers who need training in creativity and entrepreneurial behavior, teachers who might have developed innovative practices that could be used for teacher development, and ways of promoting competition among teachers.Originality/valueThe study validates inventories, which were earlier tested in non-educational domains, for use with public school teachers of a developing country across gender, caste and subject groups.
Statistical analysis of factors influencing patient length of stay in emergency departments
Authors: Ba-Aoum Mohammed , Hosseinichimeh Niyousha , Triantis Konstantinos P. , Pasupathy Kalyan , Sir Mustafa , Nestler David 
Published: February 2023

PurposePatient length of stay (LOS) is an important indicator of emergency department (ED) performance. Investigating factors that influence LOS could thus improve healthcare delivery and patient safety. Previous studies have focused on patient-level factors to explain LOS variation, with little research into service-related factors. This study examined the association between LOS and multi-level factors including patient-, service- and organization-level factors.Design/methodology/approachThis study uses a retrospective observational design to identify a cohort of patients from arrival to discharge from ED. A year-long data regarding patients flow trhoguh ED were analyzed using analytics techniques and multi-regression models. The response variable was patient LOS, and the independent variables were patient characteristics, service-related factors and organizational variables.FindingsThe findings of this study showed that older patients, middle triage and hospitalization were all associated with longer LOS. Service-related factors such as complexity of care provided, initial ward designation and ward transfer had a significant impact as well. Finally, prolonged LOS was associated with a higher ratio of patients per medical doctor and per nurse. In contrast, a higher number of residents in the ED were associated with longer patient LOS.Originality/valuePrevious studies on patient LOS have focused on patient-level factors, with little research on service-related factors. This study has addressed that gap by examining the association between LOS and multi-level factors including patient-, service- and organization-level factors. Patient-level factors included demographics, acuity, arrival shift, arrival mode and discharge type. Service-level factors consisted of first ward, ward transfer and complexity of care provided. Organizational factors consisted of three ratios: patients per MD, patients per nurse and patients per resident. The results add to the current understanding of factors that increase patient LOS in EDs and contribute to the body of knowledge on ED performance, operation management and quality of care. The study also provides practical and managerial insights that could be used to improve patient flow in EDs and reduce LOS.
Analyzing the enablers of circular supply chain using Neutrosophic-ISM method: lessons from the Indian apparel industry
Authors: Dohale Vishwas , Ambilkar Priya , Kumar Ashwani , Mangla Sachin Kumar , Bilolikar Vijay 
Published: February 2023

PurposeThis research identifies the enablers for implementing circular supply chains (CSCEs) and analyzes interrelationships between them to quantify their driving and dependence power to understand the critical CSCEs.Design/methodology/approachInitially, 10 CSCEs are identified for the Indian apparel industries through an extant literature review and validated using the Delphi method by seeking experts' opinions. The identified CSCEs are subjected to a novel neutrosophic interpretive structural modeling (N-ISM) method to capture the interrelationships between CSCEs and compute the driving and dependence power of CSCEs.FindingsThe findings of the present research work revealed that “supportive legislative framework, awareness of circular economy's potential for revenue gain and availability of trained research and development (R&D) team” are the critical CSCEs that need to be considered while implementing a circular supply chain in apparel industries.Research limitations/implicationsThis study offers insightful implications to guide practitioners in implementing the circular economy in apparel supply chains.Originality/valueThis research work is one of the earlier studies to analyze the enablers for implementing circular supply chains. This study has explored CSCEs in the context of apparel industries. From a methodological perspective, the novel N-ISM method is worth highlighting as the originality of the work.
From supply chain risk to system-wide disruptions: research opportunities in forecasting, risk management and product design
Authors: Browning Tyson , Kumar Maneesh , Sanders Nada , Sodhi ManMohan S. , Thürer Matthias , Tortorella Guilherme L. 
Published: February 2023

PurposeSupply chains must rebuild for resilience to respond to challenges posed by systemwide disruptions. Unlike past disruptions that were narrow in impact and short-term in duration, the Covid pandemic presented a systemic disruption and revealed shortcomings in responses. This study outlines an approach to rebuilding supply chains for resilience, integrating innovation in areas critical to supply chain management.Design/methodology/approachThe study is based on extensive debates among the authors and their peers. The authors focus on three areas deemed fundamental to supply chain resilience: (1) forecasting, the starting point of supply chain planning, (2) the practices of supply chain risk management and (3) product design, the starting point of supply chain design. The authors’ debated and pooled their viewpoints to outline key changes to these areas in response to systemwide disruptions, supported by a narrative literature review of the evolving research, to identify research opportunities.FindingsAll three areas have evolved in response to the changed perspective on supply chain risk instigated by the pandemic and resulting in systemwide disruptions. Forecasting, or prediction generally, is evolving from statistical and time-series methods to human-augmented forecasting supplemented with visual analytics. Risk management has transitioned from enterprise to supply chain risk management to tackling systemic risk. Finally, product design principles have evolved from design-for-manufacturability to design-for-adaptability. All three approaches must work together.Originality/valueThe authors outline the evolution in research directions for forecasting, risk management and product design and present innovative research opportunities for building supply chain resilience against systemwide disruptions.