bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of consumer cosmopolitanism on purchase intention of foreign vs local brands: a developing country perspective
Authors: Srivastava Ankur , Gupta Nitin , Rana Nripendra P. 
Published: July 2021

PurposeThis study investigates the role of consumer cosmopolitanism on consumer attitudes and purchase intentions (PIs) towards foreign and local brands.Design/methodology/approachThe responses were collected on a structured questionnaire through a consumer survey. The data were then analysed through structural equation modelling (SEM).FindingsThe results depict the positive influence of consumer cosmopolitanism on consumer attitudes towards foreign brands, which positively influences PIs towards foreign brands and negatively influences the PIs of local brands. Further, the mediating role of perceived quality was observed in explaining the consumer preference towards foreign and domestic brands.Practical implicationsFinally, the study concludes by providing implications for marketing scholars and managers of global and local brands.Originality/valueThe paper examines the underlying mechanisms related to consumer cosmopolitanism and its role in influencing the foreign and local brand purchase.
Exploring the usage of social media in extant campus sustainability assessment frameworks for sustainable campus development
Authors: Adenle Yusuf A. , Abdul-Rahman Mohammed , Soyinka Oluwole A. 
Published: July 2021

Purpose
As one of the buzzwords in the present age with considerable impacts in tertiary institutions, social media use in online teaching, learning and information dissemination have been extensively discussed in extant literature. This paper aims to explore the existing campus sustainability appraisal (CSA) tools to identify the length at which social media has been used, especially in environmental sustainability indicators’ selection and empirical verification.

Design/methodology/approach
The methodology is mainly based on a desktop study involving comprehensive review and content analysis of existing CSA tools’ documents. Webpage content analysis of selected sustainability monitoring and tracking system in higher education institutions was also conducted.

Findings
The tools' content analysis reveals insufficient utilization of social media data and platforms in campus sustainability environmental-dimension indicators selection. To bridge this identified research gap, social media user-generated content for appraising the campus-wide environmental sustainability indicators preference in tertiary institutions was proposed.

Practical implications
The adoption and modification of this study’s proposed approach by tertiary institutions, especially in sub-Saharan African countries, could help address most campus-wide environmental challenges raised, commented on and discussed on social media.

Originality/value
This study contributes to knowledge gaps by revealing the extent of social media utilization in extant tools. With the expanding utilization of different social media platforms by various tertiary institutions worldwide, their administrators' responsibility is to put these social media data into fair use.
Immersion positively affects learning in virtual reality games compared to equally interactive 2d games
Authors: Thompson Meredith , Uz-Bilgin Cigdem , Tutwiler M. Shane , Anteneh Melat , Meija Josephine Camille , Wang Annie , Tan Philip , Eberhardt Richard , Roy Dan , Perry Judy , Klopfer Eric 
Published: July 2021

Purpose
This study isolates the effect of immersion on players’ learning in a virtual reality (VR)-based game about cellular biology by comparing two versions of the game with the same level of interactivityand different levels of immersion. The authors identify immersion and additional interactivity as two key affordances of VR as a learning tool. A number of research studies compare VR with two-dimensional or minimally interactive media; this study focuses on the effect of immersion as a result of the head mounted display (HMD).

Design/methodology/approach
In the game, players diagnose a cell by exploring a virtual cell and search for clues that indicate one of five possible types of cystic fibrosis. Fifty-one adults completed all aspects of the study. Players took pre and post assessments and drew pictures of cells and translation before and after the game. Players were randomly assigned to play the game with the HMD (stereoscopic view) or without the headset (non-stereoscopic view). Players were interviewed about their drawings and experiences at the end of the session.

Findings
Players in both groups improved in their knowledge of the cell environment and the process of translation. Players who experienced the immersive stereoscopic view had a more positive learning effect in the content assessment, and stronger improvement in their mental models of the process of translation between pre- and post-drawings compared to players who played the two-dimensional game.

Originality/value
This study suggests that immersion alone has a positive effect on conceptual understanding, especially in helping learners understand spatial environments and processes. These findings set the stage for a new wave of research on learning in immersive environments; research that moves beyond determining whether immersive media correlate with more learning, toward a focus on the types of learning outcomes that are best supported by immersive media.
Opening the black box of leadership coaching: an examination of coaching behaviors
Authors: Patrick Susan Kemper , Rogers Laura K. , Goldring Ellen , Neumerski Christine M. , Robinson Viviane 
Published: July 2021

PurposeLeadership coaching is an increasingly popular development tool for school principals. However, specific coaching behaviors are rarely conceptualized or examined in prior research. This study presents a coaching behavior framework and then analyzes actual coaching conversations between principals and coaches to illustrate how specific coaching behaviors create opportunities for principals to reflect and think critically about their leadership.Design/methodology/approachBuilding on theories of interpersonal learning, the authors develop a framework of coaching behaviors to distinguish coaching inquiries and assertions that facilitate critique and reflection and, therefore, activate opportunities for learning. The authors use this framework to code transcripts of 55 principal coaching sessions. The authors analyze the prevalence of certain coaching behaviors and then examine qualitative patterns in how the use of certain behaviors shapes the nature of coaching conversations.FindingsOnly about one-third of coded coaching behaviors in the analytic sample are categorized as coaching inquiries and assertions that activate opportunities for learning. In the qualitative comparisons of extracts from coaching conversations, the authors find coaches' use of these behaviors produced richer, more meaningful dialogue.Originality/valueUnlike much of the past research on leadership coaching, this analysis examines what happens in conversations between coaches and principals. This framework could be applied to a broad range of coaching programs intended to promote professional learning.
Impact of conspiracy beliefs on Covid-19 fear and health protective behavior: a case of university students
Authors: Naveed Muhammad Asif , Malik Amara , Mahmood Khalid 
Published: July 2021

PurposeThis study investigated the impact of conspiracy beliefs on fear of Covid-19 and health protective behavior of university students in Pakistan.Design/methodology/approachA cross-sectional survey using an online questionnaire was conducted at three universities in Punjab (e.g. two public sectors and one private sector) with permission from concerned authorities for data collection. A total of 374 responses were received that were analyzed by applying both descriptive and inferential statistics.FindingsThe results indicated the prevalence of conspiracy beliefs and fear of Covid-19 among university students of two public sector universities and one private sector university. Furthermore, the conspiracy beliefs of university students predicted their fear of Covid-19. However, conspiracy beliefs did not predict the health protective behavior of university students.Research limitations/implicationsThese results had serious implications for public health in Pakistan demonstrating the critical need for health education and promotion as individual preparedness along with system preparedness is essential to combat Covid-19 pandemic and infodemic. These results are useful for policymakers, healthcare professionals, university administration and library staff for making evidence-based decisions toward health education and promotion related to the Covid-19 pandemic.Originality/valueIt is hoped that the present study would make an invaluable contribution to existing research on promotional health in general and the role of conspiracy beliefs in putting public health at risk in particular as limited studies have been published so far.
Immersive construction detailing education: building information modeling (BIM)–based virtual reality (VR)
Authors: Elgewely Maha Hosny , Nadim Wafaa , ElKassed Ahmad , Yehiah Mohamed , Talaat Mostafa Alaa , Abdennadher Slim 
Published: July 2021

PurposeThis research proposes a virtual reality (VR) platform for construction detailing that provides experiential learning in a zero-risk environment. It builds on integrating VR technology as a medium and building information modeling (BIM) as a repository of information and a learning tool.Design/methodology/approachThis work discusses the proposed environment curricular unit prototype design, implementation and validation. The validation of the VR environment was conducted in three phases, namely, piloting, testing (system usability and immersion) and learning gain validation, each of which has its aim and outcomes and has been assessed both qualitatively and quantitatively.FindingsAfter considering the feedback, the VR environment prototype is then validated on the level of learning outcomes, providing the evidence that it would enhance students' engagement, motivation and achievement accordingly. The results indicated 30% learning progress after experiencing the VR environment vs. 13.8% for paper-based studying.Originality/valueIn reference to building construction education, construction site visits provide students with real-life practical experience which are considered an extension for classroom. Nevertheless, it is challenging to integrate construction site visits regularly during the academic semester with respect to the class specific needs. The research at hand adopts integrating VR and BIM in AEC (Architecture, Engineering and Construction) education by proposing a system that can work as a mainstream complementary construction detailing learning method for architecture students. The proposed VR system facilitates a virtual construction site that meets the learning needs where students can explore and build in a real scale environment.
Let's talk about risks: a pillar framework for social media risk management in memory institutions
Authors: Liew Chern Li 
Published: July 2021

PurposeWhile memory institutions' use of social media has proliferated, research and scholarly literature on risks, resulting from social media use, memory institutions' social media risk-aware culture and, in particular, social media risk management remains scant. This study addresses this knowledge gap and identifies aspects of social media risk management from other sectors that could inform the cultural heritage sector.Design/methodology/approachThis research involves a review of the scholarly and professional literature that contribute to social media risk management discourses. These include those that discuss the different categories of social media risks, social media policies, risk-aware culture and social media risk management strategies and processes. Works discussing social media risk management models and frameworks are also included in the review. Based on the insights gained from these reviews, a pillar framework to guide social media risk management in memory institutions is developed.FindingsThe proposed framework outlines the baseline components relevant for the cultural heritage sector and underlines the evolving and continual nature of these components. Elements particularly important to memory institutions are highlighted. Notably, that social risks as a risk category must be recognised. Also noted is that the conventional apolitical stance still taken by many memory institutions need to be reviewed. The importance of memory institutions to be not overly risk-averse to the point of failing to take advantage of the affordances of social media platforms, thereby stifling potential innovations around services and engagement with their users/audience is discussed.Originality/valueThis research offers an extensive review of the social media risk management literature, both scholarly and professional across different domains. The ensuing insights inform the development of a pillar framework to guide social media risk management in memory institutions. The framework outlines a baseline mapping of the governance, processes and systems components. The expectation is that this framework could be extended to account for contextual and situational requirements at more granular levels to reflect the nuances, variances and complexities that exist among different types of memory institutions and to account for varying attributes, mandates and priorities in the cultural heritage sector.
Application of adaptive parameterized S‐transform to delta sandstone reservoir identification
Authors: Fang Yuxia , Chen Hui , Hu Ying , Li Rui , Li Jun 
Published: July 2021

ABSTRACTTime–frequency analysis plays an important role in seismic interpretation and reservoir identification because it reveals the variation of seismic frequency contents over time. The S‐transform is recognized as an efficient method for seismic time–frequency analysis, but its frequency distribution biases the actual Fourier spectrum due to the linear frequency‐dependent term in the analytical window. In this paper, an improved S‐transform, named adaptive parameterized S‐transform, is proposed for identifying delta sandstone reservoirs. In the proposed method, three parameters are introduced into the S‐transform to better adjust the time–frequency resolution in different frequency bands. Then these parameters are selected adaptively by using the concentration measure to provide a highly energy‐concentrated time–frequency representation for seismic signals. Two synthetic examples validate the effectiveness of the proposed method. Analysis of field seismic data illustrates that it can provide a better reservoir interpretation with a high resolution. Comparisons between the wavelet transform, S‐transform, and modified S‐transform prove the superiority of the proposed method in describing reservoir distribution and decreasing the uncertainty of reservoir detection. This paper presents a complementary approach to current methods for reservoir detection and identification.
Ambiguity, Managerial Ability, and Growth Options
Authors: Driouchi Tarik , Chen Mingyu , Lyu Zhuo , Bennett David J. , So Raymond H.Y. 
Published: July 2021

AbstractThis paper studies the role of ambiguity and managerial ability in firm growth options from the perspective of behavioural theory. We argue that managerial ability increases both the identification and exploitation of growth options opportunities, but ambiguity reduces strategic growth options value as a result of information incompleteness and non‐Bayesian behaviour. Using a dataset of all US‐listed firms, we test the joint effects of ambiguity and managerial ability on growth options value after controlling for standard determinants and endogeneity. The results indicate that ambiguity has a negative effect on growth options value, while ability has a positive effect. We also find that the negative association between ambiguity and growth options is less pronounced with higher managerial ability. These findings underscore the importance of firm heterogeneity in the identification, exercise, and management of strategic and innovative real options opportunities. The paper's contribution provides relevant management insights into the behavioural antecedents of real options at the firm level as well as highlights that managerial and behavioural characteristics are important determinants of growth options value.
Whey allergens: Influence of nonthermal processing treatments and their detection methods
Authors: Khan Mati Ullah , Lin Hong , Ahmed Ishfaq , Chen Yan , Zhao Jinlong , Hang Tian , Dasanayaka Binaka Prabashini , Li Zhenxing 
Published: July 2021

AbstractWhey and its components are recognized as value‐added ingredients in infant formulas, beverages, sports nutritious foods, and other food products. Whey offers opportunities for the food industrial sector to develop functional foods with potential health benefits due to its unique physiological and functional attributes. Despite all the above importance, the consumption of whey protein (WP) can trigger hypersensitive reactions and is a constant threat for sensitive individuals. Although avoiding such food products is the most successful approach, there is still a chance of incorrect labeling and cross‐contamination during food processing. As whey allergens in food products are cross‐reactive, the phenomenon of homologous milk proteins of various species may escalate to a more serious problem. In this review, nonthermal processing technologies used to prevent and eliminate WP allergies are presented and discussed in detail. These processing technologies can either enhance or mitigate the impact of potential allergenicity. Therefore, the development of highly precise analytical technologies to detect and quantify the existence of whey allergens is of considerable importance. The present review is an attempt to cover all the updated approaches used for the detection of whey allergens in processed food products. Immunological and DNA‐based assays are generally used for detecting allergenic proteins in processed food products. In addition, mass spectrometry is also employed as a preliminary technique for detection. We also highlighted the latest improvements in allergen detection toward biosensing strategies particularly immunosensors and aptasensors.
The dual mediating roles of impulsivity and emotion regulation of the borderline personality disorder‐violence relationship: A structural equation modeling approach
Authors: Wojciechowski Thomas 
Published: July 2021

AbstractAlthough the past research has indicated that features of borderline personality disorder (BPD) increase the risk for violence, much less research has examined the mediators of this relationship. This study examined the mediating roles that impulsivity and emotion dysregulation may play in explaining the relationship between BPD and violence. The Pathways to Desistance data were used in analyses. Generalized structural equation modeling was used to estimate the direct effect of BPD features on violent offending risk and to examine the mediating roles of emotion dysregulation and impulsivity. Results indicated that the direct effect of BPD symptoms on violence was mediated to non‐significance by key constructs, and the magnitude of the effect was reduced by around 40%. The total indirect effect was significant, and the mediation was attributed mainly to impulsivity. This indicates the importance of structuring treatment programming for BPD patients around impulsivity for reducing violence. Programming focused on improving impulsivity among individuals suffering from BPD may aid in reducing violent offending among this population, particularly those prior histories of involvement with the criminal justice system.
Development and successful real‐world use of a transfer DNA technique to identify species involved in shark bite incidents
Authors: Kraft Derek , Meyer Lauren , Webb Maryann , Scidmore‐Rossing Kaylee , Huveneers Charlie , Clua Eric , Meyer Carl 
Published: July 2021

AbstractIdentifying the species involved in shark bite incidents is an ongoing challenge but is important to mitigate risk. We developed a sampling protocol to identify shark species from DNA transferred to inanimate objects during bite incidents. To develop and refine the technique, we swabbed shark bite impressions on surfboards and wetsuit neoprene collected under semicontrolled conditions. Methods were tested experimentally and then successfully used to identify the species involved in a real‐world shark bite incident. Thirty‐two of 33 bite impressions yielded sufficient DNA sequences for species identification, producing barcodes from five test species, including dusky, Galapagos, bull, tiger, and white shark. The latter three species collectively account for a majority of shark bites worldwide. Our method successfully identified the species (Galeocerdo cuvier) responsible for a fatal shark bite on December 8th, 2020 on the island of Maui, from swab samples collected from the victim's surfboard 49 h after the bite incident. Our experimental results demonstrate that shark species can be accurately identified from transfer DNA recovered from bite impressions on surfboards and wetsuit neoprene. The successful use of our method in the real‐world incident shows great potential for the practicality of this tool. We recommend DNA swabbing as a routine part of the forensic analysis of shark bites to help identify the species involved in human‐shark interactions.
Development, validation, and comparison of FE modeling and ANN model for mixed‐mode solar drying of potato cylinders
Authors: Dhalsamant Kshanaprava 
Published: July 2021

AbstractThis work aims to develop a finite element (FE) model for predicting temperature and moisture ratio of potato cylinders having diameters of 8, 10, 13 mm and 50 mm length during solar drying using COMSOL Multiphysics software. The developed model computed conduction, convection, and radiation with appropriate governing and boundary conditions by coupling heat transfer in solid, laminar flow, transport of diluted species, and moving mesh modules together. Moving mesh module was employed to embrace the effect of inevitable shrinkage parameter all through solar drying. Experimentations and calculations were done based on the requirement of FE model. The developed model showed the increment of product temperature from 299.51–313.73 K, 299.07–313.03 K, and 298.34–314.57 K in case of 8, 10, and 13 mm diameter samples for an effective drying period of 3 h 15 min, 4 h 15 min, and 5 h, respectively. At the same time, the moisture content reduced from 83.57%, 86.57%, and 82.12% (wb) to 9.08%, 9.99%, 10.44% (wb) for the respective samples. To prove the reliability of the FE model predicted results, an attempt was made through the artificial neural network (ANN) model for describing the drying performance of the potato as well. It was found that the FE model better simulated the drying behavior with higher R2 values (R2 = 0.988–0.995). The drying chamber air temperature was also simulated from FE model and validated with experimental data during drying of samples. The prediction capability of FE proposed model based on statistical error analysis showed lower values than ANN model.Practical ApplicationIn the present study, the potential of mixed‐mode solar drying in food processing industries was established showing detailed investigation of transport processes throughout the solar drying process of potato cylinders. The established finite element (FE) model can be considered as a realistic alternative to experimentation. The food processing industries and dryer engineers can achieve better quality dried products by precisely operating the dryers at the optimum condition by help of the proposed FE model and product shrinkage analysis.