bluuebunny/crossref_metadata_2025_split huggingface dataset:
The role of positive online reviews in risk-based consumer behaviours: an information processing perspective
Authors: Lam Tri , Heales Jon , Hartley Nicole 
Published: October 2023

PurposeThe continuing development of digital technologies creates expanding opportunities for information transparency. Consumers use social media to provide online reviews that are focused on changing levels of consumer trust. This study examines the effect of perceived risk that prompts consumers to search for online reviews in the context of food safety.Design/methodology/approachCommitment-trust theory forms the theoretical lens to model changes in consumer trust resulting from online reviews. Consumer-based questionnaire surveys collected data to test the structural model, using structural equation modelling (SEM).FindingsThe findings show when consumers perceive high levels of risk, they use social media to obtain additional product-related information. The objective, unanimous, evidential and noticeable online reviews are perceived as informative to consumers. Perceived informativeness of positive online reviews is found to increase consumers trust and, in turn, increase their purchase intentions.Originality/valueThe findings contribute to the knowledge of online review-based trust literature and provide far-reaching implications for information system (IS)-practitioners in business.
Where have the ethical and moral standards landed? Consumer self-congruency and psychological distance in the context of AI-based services
Authors: Jin Dan 
Published: October 2023

PurposeThe purpose of this study is to provide insights and guidance for practitioners in terms of ensuring rigorous ethical and moral conduct in artificial intelligence (AI) hiring and implementation.Design/methodology/approachThe research employed two experimental designs and one pilot study to investigate the ethical and moral implications of different levels of AI implementation in the hospitality industry, the intersection of self-congruency and ethical considerations when AI replaces human service providers and the impact of psychological distance associated with AI on individuals' ethical and moral considerations. These research methods included surveys and experimental manipulations to gather and analyze relevant data.FindingsFindings provide valuable insights into the ethical and moral dimensions of AI implementation, the influence of self-congruency on ethical considerations and the role of psychological distance in individuals’ ethical evaluations. They contribute to the development of guidelines and practices for the responsible and ethical implementation of AI in various industries, including the hospitality sector.Practical implicationsThe study highlights the importance of exercising rigorous ethical-moral AI hiring and implementation practices to ensure AI principles and enforcement operations in the restaurant industry. It provides practitioners with useful insights into how AI-robotization can improve ethical and moral standards.Originality/valueThe study contributes to the literature by providing insights into the ethical and moral implications of AI service robots in the hospitality industry. Additionally, the study explores the relationship between psychological distance and acceptance of AI-intervened service, which has not been extensively studied in the literature.
Times of crisis and new entrepreneurial opportunities in highly regulated environments: the case of mRNA-biotechs during COVID-19 pandemic
Authors: Truong Yann , Tahar Yosr Ben 
Published: October 2023

PurposeCrises, such as COVID-19 pandemic, are critical events that provoke important changes in organizational practices, regulations and actors' roles. The pharmaceutical sector has been strongly affected because of the urgency to produce drugs that are effective and safe. However, the validation process and regulations are historically restrictive in this sector. This study aims to study how biotechnology firms, small companies lacking resources, have undertaken strategic actions during crisis time to induce important changes to their advantage within such a highly regulated environment.Design/methodology/approachInterviews were conducted with 21 managers in four mRNA-based biotechnology firms.FindingsResults showed that rhetorical strategies and institutional actions are used in order to manage change opportunities. Media attention, greater openness of state agencies and public willingness to accept new ways of treatment illustrated this opportunity of change in favor of biotechnology firms.Originality/valueHighly regulated environments tend to be unfavorable to smaller firms with limited resources to overcome these constraints. The authors show that times of crisis can reverse this assumption through the provision of new opportunities as long as the smaller firms skillfully use strategic actions to exploit the institutional changes at play.
Combating corruption based on Al-Siyasah al-Syar’iyyah perspective: a literature review
Authors: Din Salah Ud , Syed Ismail Sharifah Hayaati , Raja Sulong Raja Hisyamudin 
Published: October 2023

Purpose
The purpose of this study is to present an analysis of the Islamic good governance concept and means known as Al-Siyasah Al-Syar’iyyah as a principle and approach for combating corruption. This literature review aims to synthesize extant literature that discusses the determinants of integrity and how to prevent and combat corruption based on the Al-Siyasah Al-Syar’iyyah perspective.

Design/methodology/approach
A systematic search was conducted on a literature review based on Scopus and referred journals from Google Scholar databases. A manual search on Google Scholar was performed to identify additional relevant studies. Studies were selected based on the predetermined criteria. They were thematically examined using content analysis.

Findings
The study found that most of the 45 works of the literature, (41 studies and four chapters) suggested that corruption should be considered a sin and that education of Al-Siyasah Al-Syar’iyyah’s perspective against corruption, emphasizing the principle of piety, the institutionalization of justice and accountability, good governance performance with an emphasis on its belief in self-accountability and justice, is the means to combat corruption.

Originality/value
This study is unique in that it focuses on locating material on battling corruption from the standpoint of Al-Siyasah Al-Syar’iyyah. Based on the al-Quran, the Sunnah and the best practices of Muslim rulership, this notion provides an epistemological, ethical and ontological stance in Islam.
Are consumers willing to co-create value when focal firms' suppliers are proactive in green innovation? A chain liability and green halo effect
Authors: Yao Qi , Liang Yuntong , Feng Mengying , Wang Hao 
Published: October 2023

PurposeBased on the chain liability and green halo effects, this study uses the perspective of multi-tier supply chain management to examine the impact mechanism and boundary conditions of suppliers' green innovation types on consumers' willingness to participate in value co-creation with focal firms from the perspective of multi-tier supply chain management.Design/methodology/approachUsing four situational experiments, 660 participants were recruited in Credamo, and SPSS 23.0 was used for data analysis. Experiments 1a and 1b verify the effect of suppliers' green innovation on consumers' willingness to participate in value co-creation with focal firms; experiment 2 examines the mediating effect of green sincerity perception; and experiment 3 explores the moderating effect of innovation proactiveness.FindingsThe results show that suppliers' green innovation efforts are more sincere when they are substantive (vs. symbolic), thereby generating higher value co-creation intentions. As a driving force, innovation proactiveness moderates the influence of suppliers' green innovation types on consumer's willingness to co-create value with focal firms.Originality/valueThis study enriches the literature on green supply chain management (GSCM) and consumers' willingness to co-create value. Furthermore, this study provides firms with practical guidance to improve marketing performance and green innovation practices through multilevel GSCM.
Show me? Inspire me? Make me? An institutional theory exploration of social and environmental reporting practices
Authors: Wukich Jacqueline Jarosz , Neuman Erica L. , Fogarty Timothy J. 
Published: October 2023

Purpose
Albeit gradual and uneven, the emergence of social and environmental reporting by publicly held corporations has been a major development in the last few decades. This paper aims to explore patterns of the emergence of these disclosures. Using an institutional theory lens, this paper considers mimetic, normative and coercive possibilities.

Design/methodology/approach
US publicly traded company data from 2013 to 2019 is used to test the hypotheses. Mimetic forces are proxied with corporate board interlock frequency. Normative ones use the extent of gender diversity on corporate boards. Measures of business climate and industry regulatory sensitivity proxy coercive potentiality.

Findings
Studied in isolation, each of the three forces through which organizations pursue the heightened legitimacy of enhanced environmental and social disclosures has credibility. The strongest support exists for mimetic and normative mechanisms, perhaps because the US government has been reluctant to make these expanded disclosures mandatory.

Research limitations/implications
In the world of voluntary action, more attention to diffusion is needed. For these purposes, better proxies will be needed to study change. Social and environmental information should be separated for individual analysis.

Practical implications
At least in the USA, companies are attentive to what other companies are doing. There is something to be said for the ethical dimension of corporate transparency.

Social implications
Governmental action in this area has not been effective, at current levels. Corporate leadership is essential. Critical information is shared about disclosure by board members.

Originality/value
Although institutional theory makes several appearances in this area, to the best of the authors’ knowledge, the current study is the first empirical archival study to examine the three forces simultaneously, providing evidence as to the relative magnitude of each institutional force on environmental and social disclosures. Should these disclosures not be mandated by government, this study shows pathways for enhanced disclosures to continue to spread.
Macroeconomic and financial determinants of green growth: an empirical investigation on BRICS-T countries
Authors: Arzova Sabri Burak , Şahin Bertaç Şakir 
Published: October 2023

PurposeThe purposes of this study are to contribute to the limited green growth (GG) literature in emerging markets, to analyze GG from a financial economy perspective and to determine the contribution of financial development and innovation to GG in Brazil, Russian Federation, India, China and South Africa and Türkiye (BRICS-T). BRICS-T countries significantly impact the world population, international politics, energy resources and economy. In addition, BRICS-T countries are one of the leading countries in the world with their sustainability efforts. Investigating the GG model in these countries may contribute to structuring emerging economies around the principles of GG and advancing global green transformation efforts.Design/methodology/approachThe authors applied panel data analysis from 2001 to 2019. GG is economic growth free from environmental depletion in the model. National income, personnel expenditure and foreign direct investments are macroeconomic variables. These variables measure economic development and promote economic and social progress, which is essential for GG. Capital accumulation and innovation are essential tools in GG transformation. Therefore, financial development and patent applications represent the moderating variables. The authors estimate the fixed effect model with Parks-Kmenta robust.FindingsEmpirical results show that national income growth and foreign direct investments positively affect GG. Personnel expenditure negatively affects GG. On the contrary, financial development and patent growth have little moderating role.Originality/valueThis study contributes to the literature on creating a GG model in emerging countries. The study is original in its model and sample.
The Northfield Experiments and the therapeutic community task
Authors: Harrison Tom 
Published: October 2023

Purpose
This study aims to raise awareness of the importance of the sociological aspects of therapeutic community work, including clarity about the nature of the task, the power of informal interactions between participants and the relevance of leadership.

Design/methodology/approach
Applying insights from historical research to present-day practice.

Findings
The Northfield experiments offer a number of insights into present-day practice of therapeutic communities and enabling environments. These include clarity about the task, the relevance of participant interactions outside of specifically therapeutic work and the importance of leadership.

Social implications
The therapeutic community/enabling environments approach has relevance to a wider sector of society than solely the therapeutic. More attention needs to be paid to leadership issues in the therapeutic community movement, as well as the therapeutic power of the mutual support networks amongst those receiving care.

Originality/value
Through the lens of the Northfield experiments, this paper offers a broadening of the sociological nature of therapeutic community practice, arguing that the purpose is to enable greater social adaptability, thereby enhancing relationships and deepening our awareness of ourselves. Implicit in this perspective is the recognition of the power of non-formal interrelationships in the service as well as the importance of leadership. It is also suggested that our experience in this way of working has a value in other organisations such as work places or schools. However, to achieve this, we need to adapt our language appropriately.
Soil and bark biodiversity forms discrete islands between vineyards that are not affected by distance or management regime
Authors: Jiraska Lucie , Jones Beatrix , Knight Sarah J. , Lennox Jed , Goddard Matthew R. 
Published: October 2023

AbstractWithin geographic regions, the existing data suggest that physical habitat (bark, soil, etc.) is the strongest factor determining agroecosystem microbial community assemblage, followed by geographic location (site), and then management regime (organic, conventional, etc.). The data also suggest community similarities decay with increasing geographic distance. However, integrated hypotheses for these observations have not been developed. We formalized and tested such hypotheses by sequencing 3.8 million bacterial 16S, fungal ITS2 and non‐fungal eukaryotic COI barcodes deriving from 108 samples across two habitats (soil and bark) from six vineyards sites under conventional or conservation management. We found both habitat and site significantly affected community assemblage, with habitat the stronger for bacteria only, but there was no effect of management. There was no evidence for community similarity distance–decay within sites within each habitat. While communities significantly differed between vineyard sites, there was no evidence for between site community similarity distance–decay apart from bark bacterial communities, and no correlations with soil and bark pH apart from soil bacterial communities. Thus, within habitats, vineyard sites represent discrete biodiversity islands, and while bacterial, fungal and non‐fungal eukaryotic biodiversity mostly differs between sites, the distance by which they are separated does not define how different they are.
The molecular structure and function of fibrocystin, the key gene product implicated in autosomal recessive polycystic kidney disease (ARPKD)
Authors: Bannell Travis A K , Cockburn Joseph J B 
Published: October 2023

AbstractAutosomal recessive polycystic kidney disease is an early onset inherited hepatorenal disorder affecting around 1 in 20,000 births with no approved specific therapies. The disease is almost always caused by variations in the polycystic kidney and hepatic disease 1 gene, which encodes fibrocystin (FC), a very large, single‐pass transmembrane glycoprotein found in primary cilia, urine and urinary exosomes. By comparison to proteins involved in autosomal dominant PKD, our structural and molecular understanding of FC has lagged far behind such that there are no published experimentally determined structures of any part of the protein. Bioinformatics analyses predict that the ectodomain contains a long chain of immunoglobulin‐like plexin‐transcription factor domains, a protective antigen 14 domain, a tandem G8‐TMEM2 homology region and a sperm protein, enterokinase and agrin domain. Here we review current knowledge on the molecular function of the protein from a structural perspective.
Prevalence and social determinants of periodontal disease in Colombian pregnant women
Authors: Velosa‐Porras Juliana , Rodríguez Malagón Nelcy 
Published: October 2023

AbstractObjectiveThe objective of the study was to identify the prevalence of periodontal disease in pregnant women in the Colombian population and its association with social determinants and medical history based on data from the Fourth National Oral Health Survey (ENSAB IV).MethodsA total of 1012 pregnant women from different areas of Colombia were evaluated. A periodontal evaluation was performed using a North Carolina periodontal probe. The following data were recorded: number of teeth, probing depth (PD), the position of the gingival margin (GM) and clinical attachment level (CAL). An ordinal logistic regression analysis was performed for the association between social determinants and the Centers for Disease Control and Prevention and the American Academy of Periodontology (CDC/AAP) classification and logistic regression between social determinants and the European Federation of Periodontology (EFP) classification.ResultsThe prevalence of periodontitis was 37.1% using the CDC/AAP criteria and 41.2% according to the criteria of EFP distributed in sensitive (40.2%) and specific cases (0.9%). Age, belonging to a subsidized regime, living in a rural area, having an intermittent water supply and bleeding in medical records were found to be positively associated with periodontitis (mild, moderate, severe).ConclusionsThe findings of this national study of pregnant women show a high prevalence of periodontitis—using the CDC/AAP and EFP criteria—associated with age, living in rural areas, subsidized regime, intermittent water supply and bleeding in medical records.
Robust Novel View Synthesis with Color Transform Module
Authors: Kim S. M. , Choi C. , Heo H. , Kim Y. M. 
Published: October 2023

AbstractThe advancements of the Neural Radiance Field (NeRF) and its variants have demonstrated remarkable capabilities in generating photo‐realistic novel views from a small set of input images. While recent works suggest various techniques and model architectures that enhance speed or reconstruction quality, little attention is paid to exploring the RGB color space of input images. In this paper, we propose a universal color transform module that can maximally harness the captured evidence for the neural networks at hand. The color transform module utilizes an encoder‐decoder framework that maps the RGB color space into a new latent space, enhancing the expressiveness of the input domain. We attach the encoder and the decoder at the input and output of a NeRF model of choice, respectively, and jointly optimize them to maintain the cycle consistency of the proposed transform, in addition to minimizing the reconstruction errors in the feature domain. Our comprehensive experiments demonstrate that the learned color space can significantly improve the quality of reconstructions compared to the conventional RGB representation. Its benefits are particularly pronounced in challenging scenarios characterized by low‐light environments and scenes with low‐textured regions. The proposed color transform pushes the boundaries of limitations in the input domain and offers a promising avenue for advancing the reconstruction capabilities of various neural representations. Source code is available at https://github.com/sangminkim-99/ColorTransformModule.
Meso‐Skeleton Guided Hexahedral Mesh Design
Authors: Viville P. , Kraemer P. , Bechmann D. 
Published: October 2023

AbstractWe present a novel approach for the generation of hexahedral meshes in a volume domain given its meso‐skeleton. This compact representation of the topology and geometry, composed of both curve and surface parts, is used to produce a raw decomposition of the domain into hexahedral blocks. Analysis of the different local configurations of the skeleton leads to the construction of a set of connection surfaces that are used as a scaffold onto which the hexahedral blocks are assembled. These local configurations of the skeleton completely determine the singularities of the final mesh, and by following the skeleton, the geometry of the produced mesh naturally follows the geometry of the domain. Depending on the end user needs, the obtained mesh can be further adapted, refined or optimized, for example to better fit the boundary of the domain. Our algorithm does not involve the resolution of any global problem, most decisions are taken locally and it is thus highly suitable for parallel processing. This efficiency allows the user to stay in the loop for the correction or edition of the meso‐skeleton for which a first sketch can be given by an existing automatic extraction algorithm.
A Surface Subdivision Scheme Based on Four‐Directional S13 Non‐Box Splines
Authors: Huang Z. 
Published: October 2023

AbstractIn this paper, we propose a novel surface subdivision scheme called non‐box subdivision, which is generalized from four‐directional S13 non‐box splines. The resulting subdivision surfaces achieve C1 continuity with the convex hull property. This scheme can be regarded as either a four‐directional subdivision or a special quadrilateral subdivision. When used as a quadrilateral subdivision, the proposed scheme can control the shape of the limit surface more flexibly than traditional schemes due to the natural introduction of auxiliary face control vertices.
Reconstructing 3D Human Pose from RGB‐D Data with Occlusions
Authors: Dang Bowen , Zhao Xi , Zhang Bowen , Wang He 
Published: October 2023

AbstractWe propose a new method to reconstruct the 3D human body from RGB‐D images with occlusions. The foremost challenge is the incompleteness of the RGB‐D data due to occlusions between the body and the environment, leading to implausible reconstructions that suffer from severe human‐scene penetration. To reconstruct a semantically and physically plausible human body, we propose to reduce the solution space based on scene information and prior knowledge. Our key idea is to constrain the solution space of the human body by considering the occluded body parts and visible body parts separately: modeling all plausible poses where the occluded body parts do not penetrate the scene, and constraining the visible body parts using depth data. Specifically, the first component is realized by a neural network that estimates the candidate region named the “free zone”, a region carved out of the open space within which it is safe to search for poses of the invisible body parts without concern for penetration. The second component constrains the visible body parts using the “truncated shadow volume” of the scanned body point cloud. Furthermore, we propose to use a volume matching strategy, which yields better performance than surface matching, to match the human body with the confined region. We conducted experiments on the PROX dataset, and the results demonstrate that our method produces more accurate and plausible results compared with other methods.