bluuebunny/crossref_metadata_2025_split huggingface dataset:
Formation of TMT strategic consensus: the effects of collective team identification and information elaboration
Authors: Liu Yi , Yi Yaqun 
Published: April 2022

Purpose
How is strategic consensus formed in top management team (TMT)? Prior literature provides inadequate evidence. A few scholars explore its antecedents from some perspectives (e.g. organizational or team structure) to address this gap but yield confusing results. This study aims to clarify the mechanism to reach TMT strategic consensus and explore both the effect of collective team identification and information elaboration.

Design/methodology/approach
Stepwise regression analysis is applied to explore the formation process of strategic consensus by using data collected from 126 TMTs of Chinese firms.

Findings
Results show that collective team identification has a positive effect on TMT strategic consensus, whereas information elaboration has a U-shaped effect. Further, the U-shaped relationship between information elaboration and TMT strategic consensus is strengthened by collective team identification.

Originality/value
This study provides a nuanced explanation of the antecedents of strategic consensus in TMT by exploring the effects of collective team identification and information elaboration. Particularly, this study proposes a U-shaped relationship between information elaboration and strategic consensus, which enriches TMT decision-making literature and consensus research. Moreover, by examining the moderating effect of collective team identification, this study articulates why TMT members fail to achieve strategic consensus even when they have sufficiently discussed the task-relevant information.
Organisational and environmental indicators of B2B sellers’ sales performance in services firms
Authors: Rodriguez Rocio , Roberts-Lombard Mornay , Høgevold Nils M. , Svensson Göran 
Published: April 2022

Purpose
This study aims to propose a conceptual framework based on organisational and environmental indicators of business-to-business sellers’ sales performance in services firms.

Design/methodology/approach
A descriptive research design was applied and data was gathered from 389 respondents across industries and different-sized services firms in Norway using a self-administered questionnaire.

Findings
Results show that the proposed six-dimensional framework of organisational and environmental indicators can be applied to manage seller–customer relationships in a business-to-business environment.

Research limitations/implications
A six-dimensional framework of organisational and environmental indicators is tested successfully in services firms.

Practical implications
Increasingly, services firms will need to work closely with business-to-business sellers to proactively adapt to market changes through a co-creation approach to build long-term seller–customer relationships.

Originality/value
To the best of the authors’ knowledge, no previous study has focused on relationship marketing in business-to-business relationships that proposes a conceptual framework based on organisational and environmental indicators of business-to-business sellers’ sales performance in services firms.
Disentangling effects of subjective and objective characteristics of advertising music
Authors: Liu Gordon , Abolhasani Morteza , Hang Haiming 
Published: April 2022

Purpose
Drawing on information processing theory, this paper aims to study how consumers’ liking of background music in advertising affects their purchase intention and explore the roles of positive brand attitudes, music mode and music tempo within such a relationship.

Design/methodology/approach
We created several radio advertisements that promote two fictitious products: an electric car (EcoCar) and a reusable coffee mug (EcoMug). We study the role of music in these advertisements and examine how it affects purchase intention across multiple experiments.

Findings
We confirm the prediction that positive brand attitudes mediate the relationship between music liking and purchase intention. We also show that music moderates such an indirect relationship because major mode music strengthens the effect of positive brand attitudes on purchase intention. Additionally, we find that major mode music with a fast tempo can further strengthen the effect of positive brand attitudes on purchase intention. As a result, the indirect effect of music liking upon purchase intention via positive brand attitudes will be moderated jointly by the music mode and the music tempo.

Originality/value
Limited scholarship explores how the subjective characteristics of music affect consumer buying behaviour in conjunction with the objective characteristics of music. The current research addresses this gap by investigating how music liking (a subjective characteristic of music) and music mode and tempo (objective characteristics of music) affect consumer buying behaviour.
Culture and education with Alice Rigney (1942–2017), Australia's first Aboriginal woman school principal
Authors: MacGill Belinda , Whitehead Kay , Rigney Lester 
Published: April 2022

PurposeThis article explores the childhood, professional life and social activism of Alice Rigney (1942–2017) who became Australia's first Aboriginal woman principal in 1986.Design/methodology/approachThe article draws on interviews with Alice Rigney along with newspapers, education department correspondence and reports of relevant organisations which are read against the grain to elevate Aboriginal people's self-determination and agency.FindingsThe article illuminates Alice/Alitya Rigney's engagement with education and culture from her childhood to her work as an Aboriginal teacher aide, teacher, inaugural principal of Kaurna Plains Aboriginal school in Adelaide, South Australia; and her activism as a Narungga and Kaurna Elder. Furthermore, the article highlights her challenges to racial and gender discrimination in the state school system.Originality/valueWhile there is an expanding body of historical research on Aboriginal students, this article focuses on the experiences of an Aboriginal educator which are also essential to deconstructing histories of Australian education.
A comprehensive evaluation method and application of shield tunnel structure health based on variable weight theory
Authors: Sun Fei , Li Changjun 
Published: April 2022

PurposeIn order to improve the comprehensive evaluation level of shield tunnel structure health, taking a subway tunnel section as an example, and combined with the onsite measured data, such as regular inspection, health monitoring and disease remediation, this paper introduces the variable weight theory to improve the traditional fixed-weight evaluation method from structural deformation, current durability and disease status.Design/methodology/approachConsidering the influence of the fluctuation of each index value on the index weight, a comprehensive structural health evaluation model of shield tunnel based on an improved variable weight matter-element extension model is proposed.FindingsCompared with the traditional fixed-weight evaluation method, this model can correct the evaluation distortion caused by the fluctuation of index value and has optimal effect.Originality/valueThe sensitive analysis shows that several key indicators of the main threats to tunnel structure are obtained to improve the efficiency of operation, maintenance and management of shield tunnel structure.
The Million Farmers School: evaluating its impact on farmers' agricultural knowledge in Uttar Pradesh, India
Authors: Kumar Anjani , Verma Smriti , Saroj Sunil , Prasad Amit Mohan , Kishore Avinash 
Published: April 2022

PurposeThe Million Farmers School (MFS) program—also known as Kisan Pathshala was launched to impart training to the farmers by the government of the state of Uttar Pradesh (India) in December 2017. This study estimates the impact of training on agricultural knowledge of the farmers.Design/methodology/approachThe study is based on household survey conducted in Uttar Pradesh (UP), India, during March–May 2019. The authors employed matching methods, the two-stage least square (2SLS)-residual and endogenous switching regression approaches to control for selection bias and endogeneity.FindingsThe results suggest that knowledge outcomes are significantly better among participants vis-à-vis non-participants. The results are robust to different model specifications. Further, the benefits are observed across different regions and social groups.Research limitations/implicationsThe MFS program can go a long way in enhancing agricultural know-how and the farmers' economic well-being, bringing a transformative change in the agricultural landscape of UP.Originality/valueThis study is based on a field survey data and analyzes various aspects of the program's impact, design and implementation, and offers implementation advice for greater efficacy in future.
Revisiting social workers in schools (SWIS) – making the case for safeguarding in context and the potential for reach
Authors: Rafter Jennifer 
Published: April 2022

PurposeRecently, there have been renewed calls to place social workers in schools. Although these are not unchartered waters, contextual understandings of safeguarding have reaffirmed the centrality of schools in the lives of young people and keeping them safe. Yet, schools can only do so much to support young people. Safeguarding practice reviews continue to highlight the shortcomings of contextless assessment. This paper aims to make the case for a broader approach to safeguarding practice by placing social workers in schools.Design/methodology/approachA scoping review was undertaken to elicit social workers in schools (SWIS) literature from the UK, as well as international examples. Keyword searches revealed a lack of consensus on shared/agreement terminology for SWIS. The literature was organised thematically, as a mechanism to open up the extent, range and nature of research activity in relation to SWIS.FindingsFindings are presented in three themes: misunderstandings of SWIS – what do they actually do?; micro versus macro interventions; and the concept of reach.Research limitations/implicationsThe main implications of this study are to sharpen the focus on the centrality of schools in the lives of children and young people; to expand school-based initiatives as a way to reach young people at risk; to re-centre practice to local, community orientation with an emphasis on early help; and to bring together pockets of good practice and learn from successful partnership models.Originality/valueLittle attempt has been made to contemplate the past and present and rethread school-based initiatives. There is an absence of attention afforded to the theoretical foundations of SWIS. This paper identifies a gap in interest from the early iterations of SWIS, with a recent upsurgence in attention.
Promoting respite for carers of people with dementia: a case study of social marketing effectiveness in hard to reach audiences
Authors: Phillipson Lyn , Hall Danika Valerie , Johnson Keryn Marie , Cridland Elizabeth , Fielding Elaine , Neville Christine , Hasan Helen 
Published: April 2022

Purpose
This study aims to describe the development and approach of a theory-informed social marketing intervention that aimed to promote respite for carers of people with dementia. Despite a high need for respite, carers of people with dementia are often low users of available respite services. The reasons for this are complex, including knowledge, attitudinal, behavioural and systemic barriers. In the context of an aging population, effective strategies to support respite use by carers of people with dementia are needed.

Design/methodology/approach
Via formative research, the authors gained an in-depth understanding of a hard-to-reach and vulnerable group (carers of people with dementia). The resulting intervention informed, persuaded and supported carers to rethink the use of respite addressing specific barriers to service use. The intervention was evaluated using a naturalistic effects model.

Findings
Carers of people with dementia who were exposed to community-level campaign activities and also self-selected to take part in tailored coaching showed improvements to their respite knowledge, attitudes and self-efficacy. Intention to use respite and levels of personal gain from caring also increased. In contrast, carers only exposed to informational activities experienced negative changes to their respite beliefs and their sense of role captivity.

Practical implications
Social marketing can be used to support carer respite knowledge, attitudes and service-use behaviours in carers of people with dementia. The case study highlights an untapped role for social marketers to work in partnership with health professionals to support improvements in aged care services.

Originality/value
To the best of the authors’ knowledge, this is the first known social marketing intervention promoting the use of respite to carers of people with dementia. Findings demonstrate that tailored support services are most effective in helping carers navigate and use respite services.
Exploring the deep neural network model’s potential to estimate abnormal audit fees
Authors: Choi Seung Uk , Lee Kun Chang , Na Hyung Jong 
Published: April 2022

PurposeThe paper aims to estimate abnormal audit fees more precisely than the traditional audit fee model by applying an artificial intelligence (AI) method.Design/methodology/approachThe AI technique employed in this paper is the deep neural network (DNN) model, which has been successfully applied to a wide variety of decision-making tasks. The authors examine the ability of the classic ordinary least squares (OLS) and the DNN models to describe the effects of abnormal audit fees on accounting quality based on recent research that demonstrates a systematic link between accruals-based earnings management and abnormal audit fees. Thus, the authors seek to imply that their new method provides a more precise estimate of abnormal audit fees.FindingsThe findings indicate that abnormal audit fees projected using the DNN model are substantially more accurate than those estimated using the classic OLS model in terms of their association with earnings management. Specifically, when abnormal audit fees predicted using the DNN rather than the OLS are incorporated in the accruals-based earnings management model, the adjusted R2s are larger. Additionally, the DNN-estimated coefficient of abnormal audit fees is more favorably associated to earnings management than the classic OLS-estimated coefficient. Additionally, the authors demonstrate that the DNN outperforms OLS in terms of explanatory power in a negative discretionary accruals subsample and a Big 4 auditor subsample. Finally, abnormal audit fees projected using the DNN method provide a better explanation for audit hours than those estimated using the OLS model.Originality/valueThis is the first approach that utilized a machine learning technology to estimate abnormal audit fees. Because more precise measurement yields more credible research results, the findings of this study imply a significant advancement in calculating unusually higher audit fees.
Assessing the level of food insecurity among cancer patients undergoing active cancer treatment in a low-income community
Authors: Aamazadeh Fatemeh , Alizadeh Mohammad , Farsad-Naeimi Alireza , Tofighi Zahra 
Published: April 2022

PurposeFood insecurity exists when access to nutritionally sufficient and secure foods or the ability to obtain admissible foods in socially acceptable ways is limited or uncertain. Food insecurity is most likely associated with chronic disease. However, research into the possible relationship between food insecurity and cancer, the world’s second leading cause of death, is limited. The purpose of this study was to determine the level of food insecurity as well as the associated socioeconomic characteristics among cancer patients.Design/methodology/approachA cross-sectional study was conducted on 240 cancer patients in Iran. The socioeconomic and 18-item U.S. Department of Agriculture (USDA) Food Security Questionnaires were used to measure general and socioeconomic characteristics, as well as food security status.FindingsThe prevalence of food insecurity was 25.4% in the form of hunger and 52.5% in the form of hidden hunger. Only 22.1% of the patients were food secure. The results of the logistic regression analysis revealed that having children under 18 years old (P= 0.035), economic status (P< 0.001), age of the patient (P= 0.001), educational level of household’s head and his spouse (P= 0.044 andP= 0.045, respectively, had statistically significant relationships with food insecurity.Originality/valueCancer patients have a high rate of food insecurity. Considering the importance of food security for effective cancer treatment, the health system’s attention to this issue, particularly by policymakers, appears to be required.
Effect of selected process parameters on dimensional accuracy in Arburg Plastic Freeforming
Authors: Mele Mattia , Pisaneschi Gregorio , Campana Giampaolo , Zucchelli Andrea , Ciotti Michele 
Published: April 2022

Purpose
The body of the literature on the Arburg Plastic Freeforming process is still very limited despite the increasing industrial importance of this technology. This paper aims to contribute to a better understanding of this technology by investigating relations between characteristic process parameters and part features. Particularly, the effects of nominal dimension, drop aspect ratio, build chamber temperature and part position on accuracy are investigated. The density of manufactured parts is also measured to understand its relation with dimensional error.

Design/methodology/approach
A benchmark part was designed and manufactured in Polycarbonate on an Arburg Plastic Freeformer 2K-3A. The process was repeated with two levels of drop aspect ratio (1.2125 and 1.2150) and two build chamber temperatures (90°C and 120°C). Each build job included five parts in different positions of the chamber. The dimensional accuracy of benchmarks was measured by using a digital caliper, while Archimede’s principle was used for density measurements. All the acquired results were processed through an analysis of variance to investigate the role of experimental factors.

Findings
Results demonstrate that the linear shrinkage occurring at the end of the 3D printing process is the main source of inaccuracy. The higher the building chamber temperature, the most the part accuracy is influenced by the nominal dimension. The drop aspect ratio affects the dimensional error in the XY plane by increasing the overlap of adjacent droplets. On the other hand, this parameter does not influence the accuracy along the Z direction. The position of the parts inside the building chamber exhibited an influence on results, arguably due to the hot airflows.

Research limitations/implications
This research did not allow for a complete understanding of the role of part positioning on part accuracy. Further study is needed to understand the detail of this phenomenon.

Practical implications
The results of this study can aid the users of Arburg Plastic Freeforming technology by uncovering the role of the main process parameters.

Originality/value
This paper expands the body of knowledge on the Arburg Plastic Freeforming process by providing new information on the role of the main process parameters on dimensional accuracy and density. Particularly, the results answer a research question on the role of the drop aspect ratio, demonstrating that its main effect is to vary the droplets overlap, which, in turn, affects the thermal shrinkage.
A review of Industry 4.0 and additive manufacturing synergy
Authors: Khorasani Mahyar , Loy Jennifer , Ghasemi Amir Hossein , Sharabian Elmira , Leary Martin , Mirafzal Hamed , Cochrane Peter , Rolfe Bernard , Gibson Ian 
Published: April 2022

Purpose
This paper reviews the synergy of Industry 4.0 and additive manufacturing (AM) and discusses the integration of data-driven manufacturing systems and product service systems as a key component of the Industry 4.0 revolution. This paper aims to highlight the potential effects of Industry 4.0 on AM via tools such as digitalisation, data transfer, tagging technology, information in Industry 4.0 and intelligent features.

Design/methodology/approach
In successive phases of industrialisation, there has been a rise in the use of, and dependence on, data in manufacturing. In this review of Industry 4.0 and AM, the five pillars of success that could see the Internet of Things (IoT), artificial intelligence, robotics and materials science enabling new levels of interactivity and interdependence between suppliers, producers and users are discussed. The unique effects of AM capabilities, in particular mass customisation and light-weighting, combined with the integration of data and IoT in Industry 4.0, are studied for their potential to support higher efficiencies, greater utility and more ecologically friendly production. This research also illustrates how the digitalisation of manufacturing for Industry 4.0, through the use of IoT and AM, enables new business models and production practices.

Findings
The discussion illustrates the potential of combining IoT and AM to provide an escape from the constraints and limitations of conventional mass production whilst achieving economic and ecological savings. It should also be noted that this extends to the agile design and fabrication of increasingly complex parts enabled by simulations of complex production processes and operating systems. This paper also discusses the relationship between Industry 4.0 and AM with respect to improving the quality and robustness of product outcomes, based on real-time data/feedback.

Originality/value
This research shows how a combined approach to research into IoT and AM can create a step change in practice that alters the production and supply paradigm, potentially reducing the ecological impact of industrial systems and product life cycle. This paper demonstrates how the integration of Industry 4.0 and AM could reshape the future of manufacturing and discusses the challenges involved.
Effects of selective laser melting process parameters on the accuracy of the intaglio surface of maxillary removable partial denture frameworks
Authors: Chen Hu , Ma Kenan , Zhou Yongsheng , Wang Yong , Sun Yuchun 
Published: April 2022

Purpose
This in vitro study aims to explore the effects of selective laser melting (SLM) process parameters on the accuracy of the intaglio surface of cobalt–chromium alloy (Co–Cr), commercially pure titanium (CP Ti) and titanium alloy (Ti–6Al–4V) maxillary removable partial denture (RPD) frameworks and optimize these process parameters.

Design/methodology/approach
Maxillary RPD framework specimens designed on a benchmark model were built. The process parameters, including contour scan speed and laser power, infill scan speed and laser power, hatch space, build orientation and metallic powder type, were arranged through the Taguchi design. Three-dimensional deviations of the clasps area, connector area and overall area of maxillary RPD frameworks were analyzed by using root mean square (RMS) as a metric. One-way analyses of variance with the above RMSs as the dependent variable were carried out (α = 0.05).

Findings
Maxillary RPD frameworks built horizontally had a more accurate intaglio surface than those built at other orientation angles; CP Ti or Ti–6Al–4V maxillary RPD frameworks had a more accurate intaglio surface than Co–Cr ones; the Maxillary RPD framework built with a higher infill scan speed and lower infill laser power had the more accurate intaglio surface than the one built with other levels of these two process parameters.

Originality/value
A novel benchmark model for evaluating the accuracy of the intaglio surface of maxillary RPD frameworks manufactured by SLM is proposed. The accuracy of the intaglio surface of maxillary RPD frameworks can be improved by adjusting SLM process parameters. The optimal setting of process parameters concerning the accuracy of the intaglio surface of maxillary RPD frameworks was given.