bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of leadership gender stereotyping on managing familial conflict, matrimonial strategies, divorce decisions and marital satisfaction in Qatar
Authors: El-Kassem Rima Charbaji , Lari Noora , Al Naimi Maitha , Al-Thani Maryam Fahad , Al Khulaifi Buthaina , Al-Thani Noor Khaled 
Published: February 2022

PurposeThis study aims to investigate the direct and indirect effects of leadership style and gender roles on managing familial conflict (MFC), as well as how such conflict resolution affects divorce decisions and overall marital satisfaction (SF) in Qatar.Design/methodology/approachA 20-item questionnaire, corresponding to 20 indicators for six latent variables, was administered to 550 married couples in Qatar. The Kaiser–Meyer–Olkin measure of sampling adequacy and Bartlett's test of sphericity were calculated. The path analysis was measured using structural equation modeling.FindingsMatrimonial strategies adopted by spouses positively affected familial conflict resolution, and successfully MFC both positively affected marital SF and reduced the inclination to seek a divorce. However, men were not found to be visionary leaders in familial relationships regarding conflict resolution. Leadership gender stereotyping did not positively influence the perception of women's competency (WC). The WC did not positively affect the managing of familial conflict.Research limitations/implicationsThis study provides strategic insights regarding how MFC in Qatar influences marital SF. Understanding the determinants of divorce decisions and marital SF furthers understanding of how married couples can sustain healthy relationships.Originality/valueThis study empirically correlates three fields of family research: gender role; conflict resolution and marital SF. It explains how divorce issues have escalated in Qatar and explores the influence on modern social life of sexism, patriarchal roots and Oriental androcentrism. Many factors must be considered when examining matrimonial strategies (MSs), especially if there is debate over the ideal number of children. Strategizing models can curtail conflict that might lead to divorce.
Stereotype threat and colorblindness
Authors: Pepis Tara Ananda 
Published: February 2022

Purpose
This paper aims to analyze the interviews conducted with preservice teachers. The analysis seeks to surface how colorblindness and stereotype threat may influence preservice teachers’ perceived implicit biases.

Design/methodology/approach
This is a mixed-methods study that used quantitative data from the implicit association test (IAT) over three-time points to determine the implicit bias levels of preservice teachers. This paper reports on the qualitative findings related to the stereotype threat of interview participants.

Findings
The interviews revealed that participation in the study caused a defensive reaction related to stereotype threat. Despite having participated in an intervention that, on average, reduces bias as measured by the IAT participants’ expressed stereotyped beliefs about children of color and minimized the salience of race e.g. saying they did not see color. However, the interviews reveal that the participants believed that the intervention had made them aware of their own implicit biases and that it was within their ability to change these biases. These findings indicate that although considering implicit bias makes teacher candidates uncomfortable, it may also be an effective addition to teacher preparation programs.

Originality/value
This study used the IAT and an intervention to make preservice teachers aware of their own biases. During the interview process, there was significant evidence of stereotype threat among the participants who agreed to participate in the open-ended session.
Above and beyond: helping behaviors among nurses in positive and negative reciprocity relationships
Authors: Leon Matthew R. , Brock Baskin Meagan E. 
Published: February 2022

PurposeThe purpose of this paper is to explore antecedents of helping behaviors among nurses using a social exchange framework. The paper reports an investigation into the effects of reciprocity, perceived coworker efficacy and stress on active and passive helping behaviors.Design/methodology/approachTo test hypotheses, the authors performed random coefficient modeling on Mplus with data from 155 full-time nurses.FindingsNurses were willing to help coworkers regardless of perceived reciprocity levels in the relationship. Rather, their perceptions of the coworker's efficacy and previous behavior predicted helping.Originality/valueThis manuscript contributes to the literature in a number of ways. First, it provides empirical evidence that individuals will suppress or ignore reciprocity norms during an interdependent task. This lends credence to the idea that social exchanges may need to be examined in light of other variables or at other levels of analysis. Second, it demonstrates that investment behaviors (i.e. helping) can and do occur in exchange relationships despite low reciprocity. Overall, the data suggest that individuals are willing to maintain relationships despite a lack of returns.
Living and working with service robots: a TCCM analysis and considerations for future research
Authors: De Keyser Arne , Kunz Werner H. 
Published: February 2022

PurposeService robots are now an integral part of people's living and working environment, making service robots one of the hot topics for service researchers today. Against that background, the paper reviews the recent service robot literature following a Theory-Context-Characteristics-Methodology (TCCM) approach to capture the state of art of the field. In addition, building on qualitative input from researchers who are active in this field, the authors highlight where opportunities for further development and growth lie.Design/methodology/approachThe paper identifies and analyzes 88 manuscripts (featuring 173 individual studies) published in academic journals featured on the SERVSIG literature alert. In addition, qualitative input gathered from 79 researchers who are active in the service field and doing research on service robots is infused throughout the manuscript.FindingsThe key research foci of the service robot literature to date include comparing service robots with humans, the role of service robots' look and feel, consumer attitudes toward service robots and the role of service robot conversational skills and behaviors. From a TCCM view, the authors discern dominant theories (anthropomorphism theory), contexts (retail/healthcare, USA samples, Business-to-Consumer (B2C) settings and customer focused), study characteristics (robot types: chatbots, not embodied and text/voice-based; outcome focus: customer intentions) and methodologies (experimental, picture-based scenarios).Originality/valueThe current paper is the first to analyze the service robot literature from a TCCM perspective. Doing so, the study gives (1) a comprehensive picture of the field to date and (2) highlights key pathways to inspire future work.
Enhancing consumer online reviews: the role of moral identity
Authors: Adjei Mavis T. , Zhang Nan , Bagherzadeh Ramin , Farhang Maryam , Bhattarai Ashok 
Published: February 2022

PurposeThis research aims to provide a theory-based means for firms to improve customers' likelihood to provide reviews and elicit reviews that are more accurate accounts of customers' consumption experience. The authors also examined the moderating impact of type of review (whether the reviews are anonymous or identified) on the effect of moral identity on the likelihood to provide reviews and accuracy of the reviews.Design/methodology/approachData were collected via two experiments (n = 524) in lab sessions. The authors used convenient samples comprised of college students and administrative staff. Study 1 was used to examine the impact of participants' naturally existing moral identity on the likelihood to provide reviews and the accuracy of the reviews provided. Study 2 was used to investigate whether moral identity can be artificially activated or not. Study 2 was also used to test the moderating impact of the type of review on the effect of moral identity (activated vs not activated/control) on likelihood to provide reviews and the accuracy of the reviews provided.FindingsThe authors found that moral identity positively impacts the likelihood that customers will agree to provide reviews and the accuracy of the reviews. Also, the type of review moderates the effect of moral identity for those whose moral identity was not activated (i.e. uninfluenced). However, the type of review did not moderate the effect of moral identity when participants' moral identity was activated or primed.Originality/valueStrategies currently used to elicit online reviews yield low conversion rates or elicit reviews that potential customers do not trust. This paper provides an empirically tested, theory-driven means for managers of digital platforms to improve customer engagement behaviors such as “liking”, tweeting, sharing and product reviews.
Cloud-based big data analytics integration with ERP platforms
Authors: Romero Jorge A. , Abad Cristina 
Published: February 2022

PurposeThe importance of integrating cloud-based big data analytics software with enterprise resource planning (ERP) platforms is not clearly understood. Specifically, this study aims to look into firms that implemented SAP during the boom of ERP implementations. Further, this study aims to look into the type of cloud-based big data analytics software that those firms installed when cloud-based packages started to be available.Design/methodology/approachThis study specifically looks at productivity and the sources of productivity, such as technical progress and efficiency change, using a non-parametric approach that does not constrain the analysis to any production function.FindingsThis study found that by the time cloud-based big data analytics software started to be available, SAP-adopters already had a competitive advantage over the non-SAP adopters manifested through productivity and specifically through technology and not efficiency. Later, when the same firms decided to integrate their ERP platforms with cloud-based big data analytics software, the firms that had installed SAP already had an initial advantage over the non-SAP-adopters.Research limitations/implicationsIn support of the theory of technology organization environment (Tornatzky and Fleisher, 1990) and Posner's theoretical framework (Posner, 1961), a cloud-based big data analytics software will not change the relative position that firms have in the industry, so a cloud-based big data analytics software by itself will not provide a competitive advantage over competitors. Still, it will ensure that the preliminary technological gap that SAP-adopters already had is not magnified.Practical implicationsKnowing the sources of productivity improvement and technological improvements will give managers greater leverage when negotiating budgets, negotiating long-term contracts in better terms and in the decision process.Originality/valueThis study fills a research gap by looking into the implementation of a cloud-based big data analytics software with ERP.
Bearish conditions and volatility persistence during COVID-19 can microchip stocks weather the storm?
Authors: Marobhe Mutaju Isaack , Dickson Pastory 
Published: February 2022

PurposeThe purpose of this article is to examine the impact of panic and hysteria news on the volatility of microchip stocks during Covid-19.Design/methodology/approachThe authors use the P-GARCH (1,1) and random effects regression to model/examine the impact of Covid-19 panic and hysteria news on the overall microchip sector and individual firms. They further utilize the SVAR model to examine volatility spill-over from the microchip sector to the automobile and main technology sectors. Their time frame ranges from 6th January 2020 to 30th June 2021 to capture the effects of both waves of Covid-19.FindingsThe study results firstly reveal that Covid-19 panic and hysteria news have tremendous potential to model the volatility of microchip sector stock thus confirming the information discovery hypothesis. The authors secondly demonstrate the influence of Covid-19 cases, deaths and policy stringency on stock returns of individual microchip companies in different countries. Finally the authors confirm the presence of volatility spill-over from the microchip sector to other technology sectors.Research limitations/implicationsThe authors provide evidence to support the profundity of bad news in predicting stock behavior. The study results depict how Covid-19 has affected microchip stocks so that policy initiatives can be taken to protect the industry. The presence of volatility spill-over signifies the importance of diversifying portfolios by mixing technology and non-technology stocks.Originality/valueThe research strand on Covid-19 and individual sectoral stocks has received limited scholarly attention despite unparallel effects of the pandemic on different sectors.
Conceptualization of body measurements for 6-8 years kids ready-to-wear apparel based on anthropometric study in Bangalore, India
Authors: Prabhakar Deepasri , Rajagopal Sudhakar 
Published: February 2022

Purpose
The concept of developing clothing sizes has taken importance in recent years due to increasing expectations of consumers for branded clothing and its value in terms of fit and durability. The kids’ ready-to-wear brands are expected to pose the least fit issues, thereby covering a wider population of a particular size. This necessitates the standardization of measurements. The lack of standardized approaches has caused fit issues like mismatching of sizes and alterations, in a heterogenous consumer market, like India. The performance of branded apparel depends on the quality of the measurements considered in developing sizes and the approach for standardization. There is a lacuna in the measurements used by the kids’ apparel domestic brands. This study aims to propose an anthropometric approach for deriving quality measurements that can be used effectively in developing kids’ sizes to fit a wider population of kids, thereby reducing the need for alterations.

Design/methodology/approach
The measurement data was gathered through the quantitative method. An anthropometric survey was conducted by measuring school kids. A total of 544 kids (girls and boys) of age group 6–8 years were measured to obtain prime anthropometric measurements required for ready-to-wear apparel production. WHO manual and ISO 8559, 1998 meant for anthropometry survey for garment industry was referred for accurate measuring following the landmarks for measuring.

Findings
The findings revealed differences in the anthropometric measurements based on gender and age. The anthropometric measurements showed variations within the same body mass index (BMI) range. S, M and L sizes were identified within an age group. The apparel manufacturers and designers need to focus on the discrepancies occurring in the body measurements of an age group to address and control fit issues in kids ready to wear apparel.

Practical implications
The anthropometric approach can be significantly used to control undesired fit and comfort issues in kids’ ready-to-wear apparel.

Originality/value
This study helped to understand the importance of scientific measuring practices to arrive at standardized measurements to develop sizes in ready-to-wear apparel manufacturing.
Optimisation of single contour strategy in selective laser melting of Ti-6Al-4V lattices
Authors: Cao Xue , Carter Luke Nelson , Villapún Victor Manuel , Cantaboni Francesco , De Sio Giulia , Lowther Morgan , Louth Sophie Elizabeth Thompson , Grover Liam , Ginestra Paola , Cox Sophie Constance 
Published: February 2022

Purpose
Selective laser melting (SLM) is increasingly used to manufacture bone implants from titanium alloys with particular interest in porous lattice structures. These complex constructs have been shown to be capable of matching native bone mechanical behaviour leading to improved osseointegration while providing numerous clinical advantages, encouraging their broad use in medical devices. However, producing lattices with a strut diameter similar in scale to a typical SLM melt pool or using the same process parameters and scan strategies intended for bulk solid components may lead to geometric inaccuracies. The purpose of this study is to evaluate and optimise the single contour strategy for the production of Ti-6Al-4V lattices.

Design/methodology/approach
Herein, the potential of an unfilled single contour (SC) scanning strategy to improve the reproducibility of porous lattices when compared with a single contour and fill approach (SC + F) is explored. For this purpose, two parametric analysis were carried out on Ti-6Al-4V diamond unit cell lattices with different strut sizes and scan strategies. Porosity and accuracy measurements were correlated with processing parameters and printing strategy to provide the optimal processing window for lattice manufacturing.

Findings
SC is shown to be a viable strategy for production of Ti-6Al-4V lattices with a strut diameter below 350 µm. Parametric analysis highlights the limits of this method in producing fully dense struts with energy density presented as a useful practical tool to guide some aspects of parameter selection (design strut diameter achieved at approximately 0.1 J/mm in this study). Finally, a process map combining data from both parametric studies is provided to guide, predict and control lattice strut geometry and porosity obtained using the SC strategy.

Originality/value
These results explore the use of non-standard SC scanning strategy as a viable method for producing strut-based lattice structures and compare against the traditional contour and fill approach (SC + F).
Development of novel customized pressure distribution surface for reduction of pressure ulcers using additive manufacturing technology
Authors: Arumugam Sivasankar , Ranganathan Rajesh 
Published: February 2022

Purpose
This research aims to focus on developing a customized support surface using additive manufacturing (AM) for effective pressure relief for patients who are in bed or wheelchair suffering from pressure ulcers (PU).

Design/methodology/approach
A novel customized support surface is developed using AM technology incorporated with magnetic levitation and ball and socket mechanisms. Magnetic levitation provides cushioning effect for the developed cushion to users who are sitting in a wheelchair and increases the rate of healing. The ball and socket mechanism provides the user body's self-adaptive mechanism and reduces shear and friction forces between the surfaces of the additive manufactured cushion and the human buttocks.

Findings
From the results of ISO 16480-6 biomechanical standardized tests, the additive manufactured support surface performed better than, or on par with, the most widely available commercial cushions. It is evident that the developed cushion’s peak pressure values are lower when compared with other cushions. The overall efficiency of the developed cushion was qualitatively reported; 67% of people felt it was excellent and 22% of people responded as good and 11% were satisfactory. Henceforth, the overall effectiveness of the developed support surface provides a better experience to the end-user in the view of PU reduction.

Originality/value
A developed additive manufactured customized support surface will be an alternative approach for the reduction of PU, and it overcomes the drawbacks faced by the currently available cushions.
Embedding and managing blockchain in sustainability reporting: a practical framework
Authors: Pizzi Simone , Caputo Andrea , Venturelli Andrea , Caputo Fabio 
Published: February 2022

Purpose
The purpose of this paper is to evaluate blockchain’s enabling role for sustainability reporting. This study extends the scientific knowledge about the impacts related to the notarisation of mandatory sustainability reports through a publicly available blockchain.

Design/methodology/approach
Building on the idea journey framework, this paper presents the case study of Banca Mediolanum in Italy, a first-mover who notarised its non-financial declaration on a public blockchain to mitigate the information asymmetries that negatively impact stakeholder engagement.

Findings
The analysis reveals that the notarisation of the non-financial reports through a publicly available blockchain can represent a tool useful to mitigate the asymmetric information between organisations and stakeholders.

Practical implications
Although academics and practitioners have observed the benefits of its implementation, only a few companies have adopted blockchain systems to ensure their information’s reliability. The findings underline the opportunity for socially responsible organisations to signal their orientation towards sustainable development through the adoption of an innovative tool.

Social implications
The proliferation of non-financial reports prepared on mandatory basis mitigated the signalling effects related to the disclosure of non-financial information. The case study underlines the opportunity for socially responsible organisations to overcoming this criticism through notarisation.

Originality/value
To the best of the authors’ knowledge, this is the first study about sustainability reporting practices and blockchain. This research contributes to the currently scarce discussion about the role of blockchain in non-financial reporting. In addition, the authors contribute to the scientific conversation about the need to rethink assurance in non-financial reporting practices.
Consumers’ adoption of artificial intelligence and robotics in hospitality and tourism sector: literature review and future research agenda
Authors: Goel Pooja , Kaushik Neeraj , Sivathanu Brijesh , Pillai Rajasshrie , Vikas Jasper 
Published: February 2022

PurposeThe purpose of this study, a current systematic literature review, is to synthesize the extant literature on consumers’ adoption of artificial intelligence and robotics (AIR) in the context of the hospitality and tourism sector (HATS) to gain a comprehensive understanding of it. This study also outlines insights for academia, practitioners, AI marketers, developers, designers and policymakers.Design/methodology/approachThis study used a content analysis approach to conduct a systematic literature review for the period of 10 years (2011–2020) of the various published studies themed around consumer’s adoption of AIR in HATS.FindingsThe synthesis draws upon various factors affecting the adoption of AIR, such as individual factors, service factors, technical and performance factors, social and cultural factors and infrastructural factors. Additionally, the authors identified four major barriers, namely, psychological, social, financial, technical and functional that hinder the consumer’s adoption of artificial intelligence and robots in the hospitality and tourism industry.Originality/valueTo the best of the author’s/authors’ knowledge, this study is a first attempt to synthesize the factors that drive consumers’ adoption of artificial intelligence and robots in the hospitality and tourism industry. The present work also advances the tourism and consumer behavior literature by offering an integrated antecedent-outcome framework.Visual abstractFigure 2 The objective of the current systematic literature review is to synthesize the extant literature on consumer’s adoption of artificial intelligence and robotics (AIR) in the context of the hospitality and tourism sector (HATS) to gain a comprehensive understanding of it. For that purpose, authors conducted content analysis of extant literature on consumer’s adoption of AIR in HATS from 2011 to 2020. Authors presented an integrated antecedent outcome framework of the factors that drive consumer’s adoption of artificial intelligence and robots in the hospitality and tourism industry.