bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing the impact of perceptions of hygiene on tourists' attitudinal loyalty to ethnic food
Authors: Zhang Yang , Xu Xiao-Hui , Lee Timothy J. , Li Zhi-Xuan 
Published: March 2022

PurposeExamining the influence of ethnic food tourists' perception of hygiene on their attitudinal loyalty formation is the purpose of this study. Specifically, How to demonstrate touristsʼ perception of ethnic food hygiene is the key question, and moreover, the study also investigates whether and how the stages of attitudinal loyalty in this study, which are perceived authenticity, positive emotion, and perceived value, are illustrated in this mechanism and are affected by tourist perceptions of hygiene?Design/methodology/approachBy engaging in the critical debate around the topic of hygiene perception, this study explores the influence of this factor on tourist's attitudinal loyalty, including the cognitive, affective and conative aspects, to ethnic food through the adoption of perceived authenticity, positive emotion and perceived value. A survey was conducted at the Xijiang Miao Village, a very popular ethnic tourism destination in China.FindingsThis study reveals that ethnic food tourists' perceptions of hygiene have five dimensions. One of these plays a direct predictor role in developing effective conative loyalty (perceived value). Tourists' perceptions of authenticity and positive emotion representing cognitive and affective loyalty are confirmed in their direct effect on conative loyalty as well. The five dimensions of perceptions of hygiene identified have varying degrees of influence on the three stages of attitudinal loyalty.Originality/valueThe unique contribution of this study lies in two points: (1) it has discovered the way that tourists' perceptions of the hygienic preparation of ethnic food in the ethnic destination is constructed, and (2) it investigated the relationship between tourists' perceptions of hygiene and the three stages of attitudinal loyalty.
Characterizing Chinese online public opinions towards the COVID-19 recovery policy
Authors: Yu Wei , Chen Nan , Chen Junpeng 
Published: March 2022

Purpose
The online users’ characteristic information can provide decision support for policy-designing and construction of public strategies. Hence, this paper aims to conduct online public opinion mining on the recovery policy stimulating the economies stroked by COVID-19 epidemic. Also, sentimental analysis is performed to uncover the posters’ emotion towards the target policy.

Design/methodology/approach
This paper adopts bidirectional encoder representations from transformers (BERT) as classifier in classification tasks, including misinformation detection, subject analysis and sentimental analysis. Meanwhile, latent Dirichlet allocation method and sentiment formulations are implemented in topic modelling and sentiment analysis.

Findings
The experimental results indicate that public opinion is mainly non-negative to the target policy. The positive emotions mainly focus on the benefits that the recovery policy might bring to stimulate economy. On the other hand, some negative opinions concerned about the shortcomings and inconvenience of the target policy.

Originality/value
The authors figured out the key factors focused by the public opinion on the target recovery policy. Also, the authors indicated pros and cons of the recovery policy by analysing the emotion and the corresponding topics of the public opinion on social media. The findings of the paper can be generalized in other countries theoretically to help them design recovery policy against COVID-19.
Is game-based pedagogy just a fad? A self-determination theory approach to gamification in higher education
Authors: Gupta Poornima , Goyal Preeti 
Published: March 2022

PurposeThe purpose of this paper is to design and incorporate gamebased pedagogy grounded in self-determination theory (SDT) for a higher education course in a business school program.Design/methodology/approachThe study evaluates the learning outcomes of students from higher education in gamified and non-gamified contexts. The study was conducted over a period of two years in a management institute in the National Capital Region of India. The participants of the gamification study were the students in the age group 22–25 years with 0–3 years of work experience.FindingsIn general, findings of this study suggest that the group that underwent the course with the game-based pedagogy had better learning outcomes. In the game design, this study found that the addition of “meaningfulness” to the game elements improved the engagement with the gamification process for the learners. Consequently, this study found that “meaningfulness” played an important role in engaging the students, thereby, leading to improved learning outcomes.Research limitations/implicationsThe study suggests that when the game design is rooted in theory, it is likely that the desired results from gamification will be achieved. The evaluation of the courses was done by the researcher themselves. An external evaluation is required to confirm the results of the gamification elements used in the course as enumerated in the paper.Practical implicationsAll the game elements used in the game design were underpinned by SDT which suggests that if the three innate needs of competence, relatedness and autonomy in individuals are met, the desired learning outcomes is likely to follow.Social implicationsDue to the use of an online environment for the conduct of the evaluations, the study permitted the students to receive and have access to constant feedback enabling them to improve and enhance their learning.Originality/valueExisting research shows inconsistent results with the use of gamification in the learning process. This study suggests that by grounding the gamification design in learning theory is more likely to achieve favourable results. In addition, if the game elements provide meaningfulness to the participants, the gamification process is more likely to succeed.
The significance of employee behaviours and soft management practices to avoid digital waste during a digital transformation
Authors: Alieva Jamila , Powell Daryl John 
Published: March 2022

Purpose
The purpose of this study is to investigate the perceived effects between soft management practices, employee behaviours and the implementation of digital technologies in manufacturing plants, as well as how these relate to the emergence of digital waste.

Design/methodology/approach
This paper uses case-based research. Data was collected in two large manufacturing companies based in Norway and Sweden through semi-structured interviews with two management representatives and four shop-floor employees. The data was used to evaluate 29 variables describing lean- and total quality management (TQM)-associated employee behaviours and soft management practices, in light of digital transformation.

Findings
The results suggest that several variables were positively influenced by the digital transformation process. These were top management leadership, middle management involvement, employee education, corporate social responsibility focus, innovation, knowledge sharing, work-family balance, psychological capital, job satisfaction and career commitment. Training employees, creativity, discretionary effort, turnover intention and proactivity appear to be negatively influenced by digital transformation The findings also indicate that several soft management practices and employee behaviours were not only influenced by manufacturing digitalization but also themselves influenced the process. The potential for digital waste creation was also detected in several variables, including reward and recognition and training employees.

Practical implications
Managers, practitioners and academics may learn about the importance of certain managerial practices and employees’ behavioural needs during the digital transformation process. The findings may help in prioritizing TQM and soft lean management practices and certain employee behaviours during the digital transformation and in creating awareness of digital waste.

Originality/value
This study builds on several existing studies discussing the impact of digital transformation on soft management practices and employee behaviours. It provides insights from a lean and TQM angle and offers a means of prioritizing certain practices and behaviours during a digital transformation. This study also highlights the significance of digital waste.
Performance impact of behavioural factors in alliances by SMEs: an empirical analysis
Authors: Prabhudesai Rohit , Pangarkar Nitin , Prasad Ch V.V.S.N.V. , Sinha Abhishek Kumar 
Published: March 2022

PurposeThis paper aims to fill a gap in the authors’ understanding of alliance-level and the partner-level alliance performance by analysing the influence of behavioural factors for alliances formed by SMEs. Prior studies on the topic have arrived at inconclusive results. This study plugs gaps in prior studies' approach such as deployment of inconsistent performance measures, and omission of contingent factors.Design/methodology/approachThe survey method was used to collect responses about 86 alliances of Indian SMEs. The data were analysed using PLS-SEM technique.FindingsTwo relationship capital variables – Trust and Commitment – were found to have differential influence on the two levels of SME alliance performance, and their influence was mediated by the presence of two exchange climate variables – Communication and Conflict.Research limitations/implicationsSince the study employs perceptual measures of performance, it is subject to the limitations of these measures. Similarly, given the relatively small sample size on which analyses were based, the results may need to be replicated in order to generalize the findings.Practical implicationsThe study tested a comprehensive model for alliance and partner performance in the context of SMEs. The study's results may be particularly useful to managers of SMEs for focusing on the key factors that influence alliance performance as well as their performance.Originality/valueThe model tested in the study is comprehensive and also accounts for the subtleties about the impact of the two key types of behavioural factors – Relationship capital and Exchange climate – on alliance and partner performance.
New product development team performance: a historical meta-analytic review of its nomological network
Authors: Durmusoglu Serdar S. , Calantone Roger J. 
Published: March 2022

PurposeThe purpose of this study is to conduct a meta-analytic review based on a theoretical framework developed for investigating new product development (NPD) teams in the first two decades of the research stream.Design/methodology/approachThis study contributes to literature by investigating the presence of publication bias and synthesizing correlation effect sizes of 27 factors influencing three NPD team performance dimensions: overall, market-based (e.g. sales, profitability), process-based (e.g. budget adherence, schedule adherence) outcomes. Further, this study presents a path analytical model that uses the aggregate study effects to identify significant drivers of NPD team performance.FindingsFirst, examination of extant literature shows no publication bias. Next, analyses show that three internal team dynamic variables have the most significant positive effect on overall NPD team performance: team member job satisfaction, cross-functional integration and superordinate identity. For market-based performance, three goal-related contextual factors exert the most positive influence, namely, goal stability, goal clarity and goal support, in respective order. Further, for process-based performance, cross-functional integration’s strong positive effect is followed by team and goal stability. Moreover, physical distance, interpersonal and task conflict have significant negative effects on NPD team performance. Finally, both market- and process-based NPD team performance are significantly influenced by NPD team’s cohesion, which acts a mediator between two contextual factors: physical distance and team tenure.Research limitations/implicationsThis meta-analysis contributes to literature by providing a comprehensive model of NPD team performance predictors, their definitions, along with their corresponding effects in predicting performance. While team cohesion is found to be a strong predictor of both market- and process-based performance, future research can examine if too much cohesion has a detrimental effect, especially on market-based performance.Practical implicationsThe results assist managers in shifting their priorities to ensure optimal support of NPD teams. For example, team leadership competence externally has a larger effect on overall performance compared to team leadership for internal team dynamics. Hence, team leaders should make sure that they manage the team’s relationships with external parties (e.g. other functional units) with more caution.Originality/valueThis study provides a guiding framework for analyzing NPD team performance as well as identifies and then addresses many knowledge gaps on NPD team performance.
Dimensional, moisture, and thermal properties of bi-layered knitted fabric for sportswear application
Authors: Soundri Geetha Margret , S. Kavitha , Kumar B. Senthil 
Published: March 2022

Purpose
The essential properties of active sports fabrics are moisture management, quick-drying, body heat management and thermal regulations. Fibre type, blending nature, yarn and fabric structure and the finishing treatment are the key parameters that influenced the performance of the clothing meant for sportswear. This study aims to investigate the effect of fibre blending and structural tightness factors on bi-layer sport fabric's dimensional, moisture management and thermal properties.

Design/methodology/approach
In this study, 12 different bi-layer inter-lock fabrics were produced. Polyester filament (120 Denier) yarn was fed to form the backside of the fabric, and the face side was varied with cotton, modal, wool and soya spun yarns of 30sNe. Three different types of structural tightness factors were considered, such as low, medium and high were taken for sample development. The assessment towards dimensional, moisture management and thermal properties was carried out on all the samples.

Findings
The polyester-modal blend with a high tightness factor has shown maximum overall moisture management capability (OMMC) values of 0.73 and air permeability of 205.3 cm3/cm2/s. The same sample has shown comparatively higher thermal conductivity of 61.72 × 10–3 W m-1 °C-1(Under compression state) and 58.45 × 10–3 W m-1 °C-1 (under recovery state). In the case of surface roughness is concerned, polyester-modal blends have shown the lowest surface roughness, surface roughness amplitude and surface friction co-efficient. Among the selected fibre combinations, the overall comfort level of polyester-modal bi-layer knitted structure with a higher tightness factor is appreciable. Polyester-modal is more suitable for active sportswear among the four fiber blend combinations.

Research limitations/implications
The outcome of this study will help to gain a better understanding of fibre blends, structural tightness factor and other process specifications for the development of bi-layer fabric for active sportswear applications. The dynamic functional testing methods (Moisture management and Thermal properties) were carried out to simulate the actual wearing environment of the sports clothing. This study will create a new scope of research opportunities in the field of bi-layer sports textiles.

Originality/value
This study was conducted to explore the influence of fibre blend and structural tightness factor on the comfort level of sportswear and to find the suitable fibre blend for active sportswear clothing.
Decoding the sustainable consumer: what yoga psychology tells us about self-control and impulsive buying?
Authors: Kakkar Shiva , Dugar Anurag , Gupta Rajneesh 
Published: March 2022

PurposeThe study approaches the social problem of overconsumption by examining how dispositional characteristics (Trigunas) affect self-control capacity and buying impulsiveness.Design/methodology/approachA survey of 181 Indian students was conducted to collect data onTrigunas, self-control and impulse buying tendency (IBT). Partial least squares-based structure equation modeling package ADANCO was used for data analysis.FindingsThe results indicate that two out of the three gunas were related to impulsive buying tendency. As hypothesized, self-control mediated these relationships. The findings prove thatTrigunascarry differential influence on self-control capacity and impulsive buying behavior of individuals.Practical implicationsThe results of this study offer new insights and ideas to practitioners and researchers pursuing the problem of overconsumption. This study delves into ancient Hindu knowledge of mindfulness and offers fresh psychological constructs that broaden scholarly understanding on personality-related drivers of overconsumption.Originality/valueMost research on overconsumption and related issues has been conducted using western personality models. Additionally, many of these findings are inconsistent. This article broadens this discussion by applying indigenous Indian psychology constructs to the study of consumer behavior and provides empirical support for the same.
A greater effect on clarithromycin resistance of mef(A)‐associated msr(D) than mef(E)‐associated msr(D) in Streptococcus pyogenes
Authors: Tatsuno Ichiro , Isaka Masanori , Hasegawa Tadao 
Published: March 2022

AbstractThe mef(A)‐ and its subclass mef(E) systems had long been considered to constitute one of the primary macrolide‐resistant mechanisms in Streptococcus pyogenes. However, we have previously demonstrated that the msr(D) gene located immediately downstream of the mef(A)/mef(E) genes plays a predominant role in these systems. In previous studies, furthermore, mef(A)‐associated msr(D)10‐85 of an S. pyogenes strain (10‐85) exhibited a greater increase in clarithromycin minimum inhibitory concentration (MIC) than mef(E)‐associated msr(D)13‐O‐10 of another strain (13‐O‐10). Both msr(D) genes encode 487 amino acid residues, 13 amino acid residues of which are different from each other. In this study, we performed mutational analysis of the msr(D) genes and showed that a single‐nucleotide polymorphism to cause a substitution of Asp238 with Gly is mainly associated with the greater increase in clarithromycin MIC by the msr(D)10‐85 than by the msr(D)13‐O‐10 allele. In addition, another substitution of Ser with Arg at codon 194 is partially associated with the greater increase by the msr(D)10‐85 than by the msr(D)13‐O‐10 allele.
Inflation Expectations in Australia
Authors: Beckers Benjamin , Brassil Anthony 
Published: March 2022

AbstractInflation expectations are typically considered a pivotal and causal driver of inflation dynamics over which central banks have a strong influence. Given this influence, it is important for central banks to understand how expectations are formed and how their operations influence these expectations. We describe the various ways inflation expectations are measured and used by the Reserve Bank of Australia (RBA), and then review the evidence on how Australians form their expectations. In contrast to what is assumed in standard macroeconomic models, expectations are generally not formed rationally or with full information. We close by highlighting what these findings imply for the conduct of monetary policy.
Exploring the use of virtual reality to manage distress in adolescent patients in emergency departments: A feasibility study
Authors: Zolfaghari Elham , Ridout Brad , Medlow Sharon , Campbell Andrew , Coggins Andrew , Murphy Margaret , Jani Shefali , Thosar Deepali , Wiederhold Brenda K , Wiederhold Mark , Steinbeck Katharine 
Published: March 2022

AbstractObjectiveThe present study aimed to explore the feasibility and potential benefits of deploying virtual reality (VR) for adolescents in the ED.MethodsThis multi‐centre study was undertaken in paediatric and adult EDs in two university teaching hospitals. Twenty‐six participants who had voluntarily attended the ED received the VR intervention. Pre‐ and post‐measures assessing changes in state anxiety, stress and affect, and physical biomarkers were obtained.ResultsThe use of VR intervention was associated with significant reductions in distress (Short State Stress Questionnaire – Distress Subscale; t = 4.55, P < 0.001) and negative affect (the International Positive and Negative Affect Scale – Short Form version; t = 4.99, P < 0.001). Most participants chose ‘Netflix’ as their content of choice. The technology was well received by the participants with subjective reports indicating that receiving VR intervention was ‘insanely cool’, ‘takes you away from what's actually happening’ and some participants felt ‘privileged to get this experience in a hospital’.ConclusionsVR technology can effectively be used in EDs to assist adolescents and young adults better manage their distress and take steps towards activating more self‐control mechanisms that will in turn allow for more meaningful engagements to be established with health clinicians. This technology has broad implications for reducing distress in adolescents in a variety of clinical contexts.
Gone with the wind: Inferring bird migration with light‐level geolocation, wind and activity measurements
Authors: Werfeli Mike , Ranacher Peter , Liechti Felix 
Published: March 2022

Abstract

To investigate the complex phenomenon of bird migration, researchers rely on sophisticated methods for tracking long‐distant migrants. While large birds can be equipped with satellite tags, these are too heavy for many species. Instead, researchers often use light‐level geolocation for tracking individual small migratory birds. Unfortunately, light‐level geolocation is often coarse and unreliable, with positioning errors of anything up to hundreds of kilometres. Recent Bayesian models try to constrain the route to plausible corridors: they couple light‐level measurements with information about the bird's likely movement. While these models improve inference, they still lack information on weather conditions, specifically the impact of wind. For example, birds might encounter tailwinds—considerably increasing their (ground) speed and making longer routes more likely, or headwinds—having the opposite effect.

Miniaturised multi‐sensor tags allow monitoring not only light but also acceleration and air pressure. These measurements provide essential additional information about the exact timing of flight activity and the corresponding flight altitudes. This article proposes a Bayesian model for inferring bird migration. The model integrates air pressure to estimate flight altitudes and considers wind data to calculate the most likely flight trajectory. The model constrains the migratory routes to those likely given by the winds en route and the observed timing of flight activity.

We apply the model to infer the migration of European Hoopoes Upupa epops. Adding wind data for route inference excludes flight trajectories with unrealistic high airspeeds, decreases the uncertainty of the position estimates and returns more plausible migratory routes.

Faithful reconstruction of migratory routes helps unravel the influence of physiological and environmental factors on bird migration. This is crucial for habitat protection where limited resources need to be allocated to relevant areas.