bluuebunny/crossref_metadata_2025_split huggingface dataset:
Epidemic patterns of emerging variants with dynamical social distancing
Authors: Sayyar Golsa , Röst Gergely 
Published: February 2023

AbstractMotivated by the emergence of new variants during the COVID-19 pandemic, we consider an epidemiological model of disease transmission dynamics, where novel strains appear by mutations of the virus. In the considered scenarios, disease prevalence in the population is modulated by social distancing. We study the various patterns that are generated under different assumptions of cross-immunity. If recovery from a given strain provides immunity against all previous strains, but not against more novel strains, then we observe a very regular sequential pattern of strain replacement where newer strains predominate over older strains. However, if protection upon recovery holds only against that particular strain and none of the others, we find much more complicated dynamics with potential recurrence of earlier strains, and co-circulation of various strains. We compare the observed patterns with genomic analysis we have seen during the COVID-19 pandemic.
Omega 3 fish oil suppress radiation induced hepato and renal toxicity in mice through modulation in Wnt canonical pathway combined with NHEJ and Intrinsic Apoptotic pathway
Authors: Kumar Shashank , Malini Suttur S 
Published: February 2023

AbstractRadiation is associated with inflammation and oxidative stress, the latter of which contributes to activation of DNA damage and apoptosis. Omega 3 polyunsaturated fatty acids (PUFAs) have been reported to limit oxidative stress and DNA damage. The aim of this study was to evaluate the effect of the Omega 3 PUFA on antioxidant defence in male physiology on mice model. Liver and kidney tissues were obtained from whole body irradiated mice divided under 9 groups (Weight-10mg, 6-8 months old, n=5) and age-matched male controls (6-8 months old, n=5). 6 groups have been orally intubated with (50, 100 and 150) mg/kg BW with Omega 3 fish oil 1hr prior to the radiation exposure. Liver and kidney were surgically obtained after 24 hours and 30 days of radiation exposure. Omega 3 fish oil supplementation increased the level of mRNA expression of Lef1, Axin2, Survivin, Ku70, SOD1, SOD2, Cat, iNOS and decresed the level of Bax and Bcl2 in irradiated with omega 3 fish oil supplementation compare to irradiated alone. Omega 3 fish oil increased SOD scavenging, Catalase, Nitric oxide scavenging activity, Total antioxidant capacity and decrease the lipid peroxidation. The improvements in mRNA level of candidate genes of Wnt canonical pathway, NHEJ pathway, oxidative stress status serve as a stimulus for further investigation of Omega 3 fish oil as supplementation for patients undergo radiation therapy.
Qualitative properties and approximate solutions of thermostat fractional dynamics system via a nonsingular kernel operator
Authors: Ayari M. Iadh , Thabet Sabri T.M. 
Published: February 2023

PurposeThis paper aims to study qualitative properties and approximate solutions of a thermostat dynamics system with three-point boundary value conditions involving a nonsingular kernel operator which is called Atangana-Baleanu-Caputo (ABC) derivative for the first time. The results of the existence and uniqueness of the solution for such a system are investigated with minimum hypotheses by employing Banach and Schauder's fixed point theorems. Furthermore, Ulam-Hyers (UH) stability, Ulam-Hyers-Rassias UHR stability and their generalizations are discussed by using some topics concerning the nonlinear functional analysis. An efficiency of Adomian decomposition method (ADM) is established in order to estimate approximate solutions of our problem and convergence theorem is proved. Finally, four examples are exhibited to illustrate the validity of the theoretical and numerical results.Design/methodology/approachThis paper considered theoretical and numerical methodologies.FindingsThis paper contains the following findings: (1) Thermostat fractional dynamics system is studied under ABC operator. (2) Qualitative properties such as existence, uniqueness and Ulam–Hyers–Rassias stability are established by fixed point theorems and nonlinear analysis topics. (3) Approximate solution of the problem is investigated by Adomain decomposition method. (4) Convergence analysis of ADM is proved. (5) Examples are provided to illustrate theoretical and numerical results. (6) Numerical results are compared with exact solution in tables and figures.Originality/valueThe novelty and contributions of this paper is to use a nonsingular kernel operator for the first time in order to study the qualitative properties and approximate solution of a thermostat dynamics system.
Gender benders and job contenders: cosmetics in selection contexts for women and men
Authors: Bernard Liana , Park Lauren S. , Martinez Larry R. , Kulason Kay 
Published: February 2023

PurposeThe aim of the present study was to contribute to the workplace diversity literature by experimentally manipulating gender expression through the use of makeup among women and men to determine makeup's impact on interpersonal discrimination in a real-world job selection context.Design/methodology/approachIn an experimental field study, we applied either real (i.e. tinted) or placebo (i.e. transparent) cosmetic products to women and men confederate applicants. The women and men engaged in job inquiry and pre-interview conversations with store personnel in 136 retail stores across 3 shopping malls that were randomly assigned to one of 4 conditions in a 2 (confederate gender: women versus men) by 2 (cosmetic usage: real versus placebo) experimental design. The confederate applicants were accompanied by confederate observers and recorded interactions were later analyzed by naïve coders. The applicants, observers, and naïve coders rated interpersonal discrimination from store personnel in each interaction.FindingsAs hypothesized, women who enhanced their femininity through the use of makeup experienced significantly less interpersonal discrimination than women who did not. In contrast, there was no significant difference in interpersonal discrimination for men as a function of visual gender expression.Originality/valueThese findings highlight the pervasive gender norm expectations for women at work by examining gender non-conformity of women and men.
Workplace isolation during COVID-19 and work–family conflict among academicians: interplay of psychological stress and organizational identification
Authors: Shagirbasha Shameem , Iqbal Juman , Madhan Kumar , Chaudhary Swati , Dhall Rosy 
Published: February 2023

PurposeCOVID-19 pandemic has overturned the work and family life challenging the world in unpredictable ways that were previously unimaginable. With universities shutting down and emergence of online classes, this phenomenon is prevalent among academicians as well. With this background, the current study aims to investigate the direct relationships between workplace isolation (WPI) during COVID-19 and work–family conflict (WFC) with psychological stress (PS) mediating and organizational identification (OI) moderating the relationship between the two.Design/methodology/approachThe authors employed time lagged survey and collected data at three different time intervals (T1, T2, T3) from 203 academicians working across various universities and colleges in India. The data were analyzed quantitatively using SPSS PROCESS Macro and AMOS.FindingsThe results indicated that WPI during COVID-19 has a significant positive relationship with PS and WFC . It was also found that PS partially mediated the relationship between WPI during COVID-19 and WFC. Further, OI emerged as a potential moderator.Originality/valueBased on the current empirical studies, it remains unclear if WPI during COVID-19 is associated with WFC. Therefore, drawing upon stress–strain–outcome (SSO) model and the conservation of resource theory, this study makes a significant contribution to the existing body of literature by exploring the unexplored associations. To the best of the authors’ knowledge, such an association has not received much scholarly attention before.
Digitalization and artificial knowledge for accountability in SCM: a systematic literature review
Authors: Di Vaio Assunta , Latif Badar , Gunarathne Nuwan , Gupta Manjul , D'Adamo Idiano 
Published: February 2023

PurposeIn this study, the authors examine artificial knowledge as a fundamental stream of knowledge management for sustainable and resilient business models in supply chain management (SCM). The study aims to provide a comprehensive overview of artificial knowledge and digitalization as key enablers of the improvement of SCM accountability and sustainable performance towards the UN 2030 Agenda.Design/methodology/approachUsing the SCOPUS database and Google Scholar, the authors analyzed 135 English-language publications from 1990 to 2022 to chart the pattern of knowledge production and dissemination in the literature. The data were collected, reviewed and peer-reviewed before conducting bibliometric analysis and a systematic literature review to support future research agenda.FindingsThe results highlight that artificial knowledge and digitalization are linked to the UN 2030 Agenda. The analysis further identifies the main issues in achieving sustainable and resilient SCM business models. Based on the results, the authors develop a conceptual framework for artificial knowledge and digitalization in SCM to increase accountability and sustainable performance, especially in times of sudden crises when business resilience is imperative.Research limitations/implicationsThe study results add to the extant literature by examining artificial knowledge and digitalization from the resilience theory perspective. The authors suggest that different strategic perspectives significantly promote resilience for SCM digitization and sustainable development. Notably, fostering diverse peer exchange relationships can help stimulate peer knowledge and act as a palliative mechanism that builds digital knowledge to strengthen and drive future possibilities.Practical implicationsThis research offers valuable guidance to supply chain practitioners, managers and policymakers in re-thinking, re-formulating and re-shaping organizational processes to meet the UN 2030 Agenda, mainly by introducing artificial knowledge in digital transformation training and education programs. In doing so, firms should focus not simply on digital transformation but also on cultural transformation to enhance SCM accountability and sustainable performance in resilient business models.Originality/valueThis study is, to the authors' best knowledge, among the first to conceptualize artificial knowledge and digitalization issues in SCM. It further integrates resilience theory with institutional theory, legitimacy theory and stakeholder theory as the theoretical foundations of artificial knowledge in SCM, based on firms' responsibility to fulfill the sustainable development goals under the UN's 2030 Agenda.
Predictable by publication: discovery of early highly cited academic papers based on their own features
Authors: Tang Xiaobo , Zhou Heshen , Li Shixuan 
Published: February 2023

PurposePredicting highly cited papers can enable an evaluation of the potential of papers and the early detection and determination of academic achievement value. However, most highly cited paper prediction studies consider early citation information, so predicting highly cited papers by publication is challenging. Therefore, the authors propose a method for predicting early highly cited papers based on their own features.Design/methodology/approachThis research analyzed academic papers published in the Journal of the Association for Computing Machinery (ACM) from 2000 to 2013. Five types of features were extracted: paper features, journal features, author features, reference features and semantic features. Subsequently, the authors applied a deep neural network (DNN), support vector machine (SVM), decision tree (DT) and logistic regression (LGR), and they predicted highly cited papers 1–3 years after publication.FindingsExperimental results showed that early highly cited academic papers are predictable when they are first published. The authors’ prediction models showed considerable performance. This study further confirmed that the features of references and authors play an important role in predicting early highly cited papers. In addition, the proportion of high-quality journal references has a more significant impact on prediction.Originality/valueBased on the available information at the time of publication, this study proposed an effective early highly cited paper prediction model. This study facilitates the early discovery and realization of the value of scientific and technological achievements.
Because I'm happy: exploring the happiness of shopping in social enterprises and its effect on customer satisfaction and loyalty
Authors: Cachero-Martínez Silvia , García-Rodríguez Nuria , Salido-Andrés Noelia 
Published: February 2023

PurposeThis research analyzes the role of happiness associated with sustainable purchases in social enterprises (SEs) as a key precursor of prosocial behavioral responses through satisfaction with such purchases.Design/methodology/approachThis paper studies the relationships between past purchase in a social enterprise, consumer happiness, satisfaction and three indicators of loyalty: repurchase intention, word-of-mouth (WOM) intention and willingness to pay more. In addition, it analyzes the moderating role of altruistic motivation. A survey was designed to collect data from 380 consumers who had bought in a social enterprise.FindingsSustainable consumption is a source of happiness for ethical consumers to the extent that they feel that they meet a personal need or desire, and they contribute to achieving a social objective with their purchasing behavior.Practical implications SEs must appeal to the happiness of consumers as a strategic line to achieve their satisfaction and loyalty. Social enterprise practitioners and marketers should deploy organizational capabilities and resources in key performing areas such as communication, customer service or shopping experience, with the purpose of maximizing the happiness of ethical consumers with whom the firm is interacting for the first time.Originality/valueThis research highlights the importance of the social enterprise in the commercial setting, since it has been proven that purchases in these companies generate happiness and satisfaction in consumers. In addition, satisfaction has a great impact on their loyalty, which is a direct advantage for this type of company and an indirect one for society as a whole.
An image-based visual servo system to operate a flexible wire
Authors: Li Changle , Yao Chong , Xu Shuo , Zhang Leifeng , Fan Yilun , Zhao Jie 
Published: February 2023

PurposeWith the rapid development of the 3C industry, the problem of automated operation of 3C wire is becoming increasingly prominent. However, the 3C wire has high flexibility, and its deformation is difficult to model and control. How to realize the automation operation of flexible wire in 3C products is still an important issue that restricts the development of the 3C industry. Therefore, this paper designs a system that aims to improve the automation level of the 3C industry.Design/methodology/approachThis paper designed a visual servo control system. Based on the perception of the flexible wire, a Jacobi matrix is used to relate the deformation of the wire to the action of the robot end; by building and optimizing the Jacobi matrix, the robot can control the flexible wire.FindingsBy using the visual servo control system, the shape and deformation of the flexible wire are perceived, and based on this, the robot can control the deformation of the flexible wire well. The experimental environment was built to evaluate the accuracy and stability of the system for controlling the deformation of the flexible wire.Originality/valueAn image-based visual servo system is proposed to operate the flexible wire, including the vision system, visual controller and joint velocity controller. It is a scheme suitable for flexible wire operation, which has helped to automate flexible wire-related industries. Its core is to correlate the motion of the robot end with the deformation of the flexible wire through the Jacobian matrix.
How to enter paradise on earth: a case study of Aava
Authors: Haq Zia Ul 
Published: February 2023

Theoretical basis
This case has been tested twice in the classroom of 40 students in two leading Indian institutions, IIM Ahmedabad (among a group of 40 faculty development programme participants) and Central University of Kashmir (among a group of 40 MBA marketing students). The teaching note has been well prepared and all modifications in both the main case as well as teaching note stand updated.

Research methodology
The data for the case was collected using both primary and secondary sources. The author managed to have a face-to-face interview with the company's Vice President, Mr Sheroy Mehta at Indian Institute of Management, Ahmedabad, and get the preliminary data for the case. The author could also manage to carry out personal interactions with PureMax mineral water owners, a leading brand in Jammu and Kashmir, India. Some of the supplementary data were sourced from secondary sources and properly referenced.

Case overview/synopsis
The discussion questions invite students to consider several environmental challenges often faced by entrepreneurs. Students are encouraged to demonstrate their practical and theoretical knowledge by addressing genuine challenges across a typically broad entrepreneurial management spectrum, including product design, positioning and sustainability. This case was written following extensive interaction with the founding entrepreneurs at Ahmedabad, Gujarat, using a critical marketing perspective and the author's primary research. This case is targeted at postgraduate and undergraduate management students taking a marketing, strategic management or entrepreneurship course.

Complexity academic level
This case study is relevant for marketing management and brand management courses and could also be used for strategic management classes. This case was written to view the general requirement of the MBA marketing syllabus in most Asian universities in general and Indian universities in particular. This case can also be used for undergraduate students of business management and commerce.
Knowledge transfer based on disseminative capacity, absorptive capacity, and learning: a comparative study between Brazil and Germany
Authors: de Sousa Paulo Renato , de Castro José Márcio , Gohr Claudia Fabiana , Barbosa Marcelo Werneck 
Published: February 2023

Purpose
This study aims to assess suppliers’ learning from knowledge transfers with a global truck manufacturer, considering both source and supplier capacity, and the cultural proximity between the parties.

Design/methodology/approach
A case study was conducted between two factories, one in Brazil and one in Germany. This study adopted a mixed-method sequential explanatory approach, which involves a quantitative phase followed by a qualitative one to provide a better understanding of the studied phenomenon. Quantitative data were collected from the automaker’s suppliers in both countries and analyzed using factor and inferential analyses. Qualitative data were obtained from the automaker’s purchasing executives, and from the company’s suppliers in both countries. Content analysis was used to analyze data.

Findings
Results suggest that both the source’s disseminative capacity and suppliers’ absorptive capacity had a positive effect on suppliers’ learning during knowledge transfers. The study also found out that cultural proximity among parties positively moderates the relationship between suppliers’ absorptive capacity and their learning. However, cultural proximity does not moderate the relationship between a source’s disseminative capacity and supplier learning.

Practical implications
This study’s findings are important to foster knowledge transfers by developing absorptive and disseminative capabilities in the automakers industry, in which the implementation of interorganizational learning is quite challenging due to the large number of strategic providers.

Originality/value
This study contributes to theoretical and conceptual consolidation of knowledge transfer, which includes cultural proximity among parties and the source’s and supplier’s disseminative and absorptive capacities, respectively. This study constructs and validates a model of knowledge transfer using a large automaker with a worldwide presence.
An investigation of the impact of interpersonal and institutional trust on knowledge sharing in companies: invisible hands for knowledge sharing
Authors: Sabetzadeh Farzad , Chen Yanzi 
Published: February 2023

Purpose
This study aims to examine the impact of different subtypes of trust on the willingness of companies to share knowledge. To measure improvement in work performance, three perspectives of interpersonal trust, institution-based trust and their combined effect on fostering trust are examined.

Design/methodology/approach
A comparative analysis and quantitative measurement are used in this study (with a sample size of 147) to determine which knowledge-sharing channels need to be established to increase effectiveness and efficiency.

Findings
This study found that both interpersonal and institutional trust can positively influence employees' willingness to share personal knowledge. Despite this, the combination of these two types of trust cannot outperform the scenarios in which one type of trust can reach its maximum. As a result of institutional trust, trustees are more likely to trust others when they feel protected.

Research limitations/implications
Trust may take on multiple dimensions in different business contexts and industries. In this study, the limited sample size and domain may only reveal some of these aspects of trust, which may not be representative of other contexts.

Originality/value
Few researchers have examined the degree of trust and its impact on knowledge dissemination using relevant parameters. Their focus is solely on the interaction between interpersonal trust and knowledge sharing. As a result of this study, the concept of “trust” was quantified, with more tangible metrics to provide better estimates when assessed in different business contexts.