bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pharmacogenomic Drug-Gene Interactions in Geriatric Emergency Department Patients That Have Fallen
Authors: Shih Richard D. , Engstrom Gabriella , Pandya Abhijit S. , Fields Gregg B. , Furht Borivoje , Danesh Ali A. , Alter Scott M. , BPharm Humberto Munoz , Clayton Lisa M. , Solano Joshua J. , Buckley Timothy , Hung Olivia , Farag Alexander , Wells Mike 
Published: August 2024

AbstractBackgroundPharmacogenomic assisted prescribing of medications utilizes individual genetic information to identify drug-gene interactions. We aimed to assess potential pharmacogenomic drug-gene interactions in geriatric emergency department (ED) patients that have sustained a fall.MethodsThis was a prospective study involving 25 older adult ED patients with fall related injury. Data collected included current medications, demographics and mechanism of injury. All patients provided a DNA sample for pharmacogenomic testing, MatchMyMeds (DNA Labs, Boca Raton, FL) which assessed genetic data for 23 enzyme systems and reports on potential drug-gene interactions for 134 medications. Each patients’ medications were reviewed against their pharmacogenomic report and categorized as Green (go), Yellow (caution) or Red (stop) based on their genetic information and published interactions by the Clinical Pharmacogenetics Implementation Consortium (CPIC), Dutch Pharmacogenetics Working Group (DPWG) and Food and Drug Administration-approved drug label information. The main study outcome was pharmacogenomic drug-gene interactions.ResultsOf the 25 patients enrolled (median age, 81 years, IQR: 76-85), 68% were female. Patients were taking a median of 8 medications (IQR: 5-11). The most common types were antihypertensives, statins, anticoagulants, and anti-platelet medications. Significant drug-gene interactions (Yellow or Red) were identified in 14/25 (56%) patients. Further, 6/25 (24%) had one or more potentially serious (Red) interactions identified.ConclusionsIn geriatric ED patients with a fall-related injury, a majority have a significant pharmacogenomic drug-gene interactions. DNA testing identifies these interactions and can assist with pharmacogenomic-guided medication prescribing which may decrease ADEs and improve clinical outcomes.Key PointsPolypharmacy is associated with adverse drug events and fall-related injuries.Pharmacogenomic can identify drug-gene interactions in older ED adults that sustain a fall.Significant drug-gene interactions are common in older ED adults that sustain a fall.Pharmacogenomic-guided medication prescribing which may decrease ADEs and improve clinical outcomes
Modelling the enablers of organizational resilience: a modified total interpretive structural modeling (m-TISM) approach
Authors: Sethi Meghna , Sushil  , Gupta M.P. 
Published: August 2024

PurposeGiven the rising complexities around organizational resilience, this study identifies and explains the critical enablers of developing organizational resilience (OR). It offers logical reasoning into the interactions and interdependencies among the identified elements with the help of a hierarchical model of the antecedents of OR.Design/methodology/approachThis paper deployed a mixed methodology research design. Firstly, critical enablers of OR are identified from the literature review. Second, contextual relationships and interactions between the enablers are examined using modified total interpretive structural modeling to derive a hierarchical model among the antecedents that characterize OR. Lastly, a survey study including industry experts is used to statistically verify the model links.FindingsDeveloping resilience lies at the intersection of organization science and strategic management, involving the interaction of factors within an organization’s strategic behaviors, organizational practices, and people processes. The study identifies twelve antecedents of OR. The resultant interpretive hierarchical model helped decipher internal relationships among the antecedents. The proposed model helps determine how organizations move through different phases (before, during, and after) of turbulences and how organizational resilience helps overcome negative spirals.Originality/valueThis research is original and refreshing in its attempt to necessitate resilience as a processual characteristic needed to survive, thrive, and transform amidst business tensions. The hierarchical model of antecedents garners a better understanding of how their interactions and interdependencies help organizations enhance their capacity to adapt and build resilience in organizational systems and processes. It answers questions of “what,” “how,” and “why” relevant to theory building in OR.
Autism Ashram
Authors: Mukherjee Ujjal 
Published: August 2024

Learning outcomes
The primary learning objectives/outcome of case discussion is to apply design thinking principles to design innovative and socially responsible strategies that promote financial sustainability for organizations serving unique societal needs. The secondary learning objectives/outcome of case discussion is to gain a deeper appreciation for the potential social impact of their innovative ideas and understand the complexities and ethical considerations in social entrepreneurship, especially when working with individuals with special needs.

Case overview/synopsis
The case study describes the challenge facing Anil Kumar Kundra, the founder and trustee of Autism Ashram and Autism Guardian Village in Hyderabad and Gujarat, an organization that provides shelter and care for individuals with autism and residential facilities for their parents. Autistic individuals often lack social skills and may face challenges in reading, writing and communicating. In addition, they may experience behavioral issues, making it difficult for them to obtain employment or run their own ventures, resulting in a lifetime financial dependency on their guardians. In August 2023, Kundra, in pursuit of sustainability, aims to empower autistic individuals in the ashram to attain financial independence. He envisions Autism Ashrama as a self-sustaining entity, no longer dependent on contributions from parents. The dilemma facing Kundra is the need to identify innovative ideas that will enable these autistic individuals to contribute to revenue generation. The challenges faced by autistic individuals in their day-to-day lives make Kundra’s decision-making complex. While he acknowledges the challenge, he firmly believes that a handful of transformative ideas can bring about a revolutionary shift in the ecosystem for autistic individuals, rendering this business model truly sustainable. The case study invites students to help Kundra identify innovative ideas using design idea techniques, such as the Stanford d.school model.

Complexity academic level
This take-home assignment is suitable for both undergraduate and postgraduate students and is designed to explore the integration of sustainable business practices and design thinking in a real-world context.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS 7: Management science.
Hey “CSIRI”, should I report this? Investigating the factors that influence employees to report cyber security incidents in the workplace
Authors: Ahola Kristiina , Butavicius Marcus , McCormac Agata , Sturman Daniel 
Published: August 2024

Purpose
Cyber security incidents pose a major threat to organisations. Reporting cyber security incidents and providing organisations with information about their true nature, type and volume, is crucial to inform risk-based decisions. Despite the importance of reporting cyber security incidents, little research has addressed employees’ motivations to do so. Therefore, the purpose of this study is to investigate the factors that influence employees to report cyber security incidents using the theory of planned behaviour as a theoretical framework.

Design/methodology/approach
Survey data were collected from a sample of 549 working Australian adults. Demographics were gathered, in addition to data using the Cyber Security Incident Reporting Inventory (CSIRI; pronounced, “Siri”).

Findings
Attitude towards reporting, subjective norms and perceived behavioural control each significantly predicted intention-to-report cyber security incidents. Perceived behavioural control also significantly predicted actual reporting behaviour.

Research limitations/implications
The results of this study validate the application of the theory of planned behaviour to the cyber security incident reporting context, also indicating that the relationship between intention to report a cyber security incident and actual reporting behaviour may be facilitated by perceived behavioural control.

Practical implications
These findings can be applied to inform the development of strategies that increase employees’ cyber security incident reporting behaviour.

Originality/value
This study outlines the development of a new tool to measure attitudes, subjective norms and perceived behavioural control in relation to the reporting of cyber security incidents. To the best of the authors’ knowledge, this is the first study of its kind to identify the relationship between these factors and intentions to report cyber security incidents.
AI-enabled FinTech for innovative sustainability: promoting organizational sustainability practices in digital accounting and finance
Authors: J. Nair Arjun , Manohar Sridhar , Mittal Amit 
Published: August 2024

Purpose
The purpose of this study is to delve into the intricate terrain of assimilating sustainability practices into digital accounting and finance, centring on the transformative dynamics introduced by artificial intelligence (AI)-enabled FinTech. The primary objective is to scrutinize critical lacunae in existing literature, exploring how organizations can meticulously construct comprehensive sustainability frameworks. Simultaneously, the study investigates the protracted repercussions of AI-enabled FinTech on the enduring sustainability paradigms.

Design/methodology/approach
Executing a systematic literature review, the research engaged in the meticulous identification and assessment of a voluminous pool of 1,158 articles. Using a judicious two-phase strategy, the scrutiny distilled a mere 64 pertinent articles, subjecting them to rigorous evaluation encompassing methodologies, contributions and overall quality. The Fuzzy Delphi method was used to elicit expert opinions and facilitate consensus-building, leveraging fuzzy logic to accommodate uncertainties in the data.

Findings
The review navigates the convoluted impact of AI across diverse sectors, accentuating its transformative imprint on realms such as health care, finance and transportation. Specifically, in the financial domain, the discerning eye of AI-enabled FinTech optimizes investment portfolios, augments risk assessment, propels financial inclusion and streamlines the intricate landscape of sustainability reporting. The study meticulously pinpoints research gaps encompassing investment optimization, risk management, financial inclusion, sustainability reporting and ethical considerations within the intricate milieu of AI-enabled FinTech. This research contributes to the existing body of knowledge by synthesizing intricate thematic strands, discerning overarching trends and spotlighting critical voids in the synthesis of sustainability practices and AI-enabled FinTech. The findings resonate with far-reaching implications, emphasizing the exigency of comprehensive investigations into the longitudinal sustainability ramifications instigated by AI-enabled FinTech.

Originality/value
The study underscores the imperative of crafting robust ethical frameworks for the equitable and transparent deployment of AI solutions within the intricate landscape of FinTech. Moreover, this research stands poised to shape organizational strategies, inform regulatory frameworks and guide investment decisions, thereby catalyzing the cultivation of conscientious and sustainable financial practices.
The application of lean six sigma to improve mining transportation overall vehicle effectiveness (MTOVE): a case study in mining company
Authors: Hia Selamat Walmanto , Singgih Moses Laksono , Gurning Raja Oloan Saut 
Published: August 2024

Purpose
The purpose of this paper is to present a case study the application of lean six sigma combined with mining transportation overall vehicle effectiveness (MTOVE) to improve mining transportation performance. MTOVE is a newly developed model to measure the overall effectiveness of mining transportation.

Design/methodology/approach
The method used is case study combines the MTOVE and LSS methodologies. Data were collected from the hauling operation during a three-month period. Various lean six-sigma tools, such as the Pareto chart, ANOVA, two sample t-tests, one sample t-test, cause-and-effect analysis and time study, have been used.

Findings
The case study resulted in improvement of vehicle overall effectiveness; a 35% increase in MTOVE value, a 17% improvement in productivity and a 9% increment in truck utilization. Statistical tests confirmed the significance of reducing the mean and variation in the hauling process cycle time, which led to productivity improvement.

Research limitations/implications
This study provides practitioners with additional quantitative evidence of the potential benefits of LSS methods in the coal mining industry.

Practical implications
This paper practically and unquestionably has contributed to the LSS body of knowledge focused on the mining sector, which is recently still far behind the manufacturing sector. The study has demonstrated that some challenges in the mining environment can be solved through the effective implementation of LSS tools. Hence, this paper could be used as a reference for both researchers and practitioners.

Social implications
The study contributes in the field of LSS spread in mining industries using a case study. This study shows practical evidence of improving overall vehicle effectiveness using LSS. Practitioners can refer to this study to understand the benefits of LSS in mining sector. Since the mining industry should also adopt the LSS principle into the mining business process due to its ability to improve business performance (Valente et al., 2020; Tupamahu et al., 2019; Zanon et al., 2021).

Originality/value
There has been little scientific study of the LSS implementation in the mining industry. This research provides detailed evidence of LSS implementation in the mining sector. The main contribution is the implementation framework, which shows the combination of newly developed indicators (MTOVE and LSS) to enhance hauling operation effectiveness. This paper demonstrates how LSS tools and methods can be applied in the mining transportation industry.
An empirical study on driving blockchain adoption in Maritime freight: an Asian business perspective
Authors: Singh Suneet , Pratap Saurabh , Dwivedi Ashish , Lakshay Lakshay 
Published: August 2024

Purpose
In the existing era, international trade is boosted by maritime freight movement. The academicians and Government are concerned about environmental contamination caused by maritime goods that transit global growth and development. Digital technologies like blockchain help the maritime freight business to stay competitive in the digital age. This study aims to illuminate blockchain technology (BCT) adoption aspects to alleviate early industry adoption restrictions.

Design/methodology/approach
This study adopts a two-stage approach comprising of structural equation modeling (SEM) with artificial neural networks (ANN) to analyze critical factors influencing the adoption of BCT in the sustainable maritime freight industry.

Findings
The SEM findings from this study illustrate that social, organizational, technological and infrastructual and institutional factors affect BCT execution. Furthermore, the ANN technique uses the SEM data to determine that sustainability enabled digital freight training (S3), initial investment cost (O5) and trust over digital technology (G1) are the most essential blockchain deployment factors.

Originality/value
The hybrid approach aims to help decision-makers and policymakers examine their organizational blockchain adoption goals to construct sustainable, efficient and effective maritime freight transportation.
Cynicism, justice and behavioral support for change: a moderated mediation analysis
Authors: Sabar Sabar , Sukoco Badri Munir , Ahlstrom David 
Published: August 2024

PurposeThe purpose of this study is to describe and explain the relationship between organizational justice, as an environment and as a buffer and suppressant for influencing cynicism about organizational change (CAOC), thereby influencing change-supportive behavior (CSB) and its impact on higher education performance (OP). The social cognitive theory was applied to test the moderating role of perceived organizational justice in the relationship between CAOC, CSB, and OP.Design/methodology/approachThe research found support for the proposed model using data collected from 91 faculties at 10 autonomous higher education institutions in Indonesia and a multisource research design with a non-academic staff sample.FindingsThis finding confirms that distributive and interactional justice only influences organizational performance when perceived as moderate or high. The moderated mediation analysis findings were supported by the moderating variable of procedural justice but were supported by the moderating variables of distributive and interactional justice.Originality/valueAs a determinant of CAOC on non-academic staff in Indonesia, a country with a high-power distance, cynicism towards change is difficult to detect due to the prevalence of silent cynicism.
Artificial intelligence-based virtual assistant and employee engagement: an empirical investigation
Authors: Dutta Debolina , Mishra Sushanta Kumar 
Published: August 2024

PurposeScholars have highlighted personal interactions between employees and their leaders in an increasingly distributed and hybrid work environment as an essential mechanism that engages employees toward organizational goals. Enhanced employee engagement significantly contributes to sustained organizational performance and growth. While Artificial Intelligence (AI) applications in the HR domain are increasing, research to understand the implication of AI-based virtual assistants on enabling trust and managing human resources is, at best, limited.Design/methodology/approachDrawing on the social response theory and the social exchange theory, and based on a multi-source, time-lagged field study spanning over ten months, we investigated the impact of AI-based virtual assistants on employee attitudes, namely perception of fairness and employee engagement.FindingsThe usage of AI-based virtual assistants is associated directly with employee engagement and indirectly through employees’ perceptions of fairness. While employees’ past performance moderates the relationship between perceived fairness and employee engagement, the interaction effect becomes non-significant with AI-based virtual assistants.Research limitations/implicationsOur study contributes to the emerging literature on AI-based virtual assistants in HRM and employee engagement. The virtual assistants’ use to enhance employee engagement emerges as an opportunity for task substitution and augmentation. Our study demonstrates that AI-based virtual assistants can enhance employee engagement and help build perceptions of fairness among employees.Originality/valueWith the emerging importance of AI, there is an increasing interest in explaining human-computer interactions and their effect on employee engagement. Our study is among the early empirical studies examining the implications of AI-based virtual assistants on employee outcomes.
Yeast extracts weakened warmed‐over flavor in surimi gels made from silver carp due to the masking effect by high concentrations of pyrazines and esters
Authors: An Yueqi , Li Wenrong , Shen Shuo , Li Ku , Guo Jiangyong , Xiong Shanbai 
Published: August 2024

AbstractWarmed‐over flavor (WOF) is an off‐flavor in surimi gels. Yeast extract (YE) could improve the aroma properties of food. However, the effect of YE on the WOF in surimi gels and its mechanism was still unclear. In this study, aroma profiles, the composition of aroma compounds and aroma precursors, concentrations of WOF compounds, and thiobarbituric acid reactive substances (TBARS) of surimi gels with different amounts of YE were investigated by molecular sensory science and chromatographic techniques. Moreover, the effect of pyrazines and esters introduced by YE on WOF was also tested by sensory analysis. The addition of no less than 1% YE to surimi gels significantly weakened WOF. However, YE did not decrease the concentrations of WOF compounds and did not change the fatty acid composition and TBARS in surimi gels. Conversely, the addition of YE significantly increased the contents of free amino acids, N‐containing compounds, and esters in surimi gels. The contents of total free amino acids, 2,6‐dimethylpyrazine, and ethyl acetate in surimi gels with 2.5% YE were 1.5, 21, and 2.1 times higher than those in the control, respectively. Additionally, the sensory results of the spiked aroma models containing WOF compounds, 2,6‐dimethylpyrazine, and esters showed that more than 9.4 µg/kg of 2,6‐dimethylpyrazine with a baked‐potato note and more than 6.1 µg/kg of ethyl acetate and 11.2 µg/kg of butyl acetate with a fruity note could significantly mask WOF. In conclusion, WOF in surimi gels could be masked by YE due to the high concentrations of pyrazines and esters.Practical Application: Yeast extracts could decrease the warmed‐over flavor (WOF) due to the high concentrations of pyrazines (baked‐potato note) and esters (fruity note). This finding extends the application of yeast extracts in the food industry. On the other hand, this study presents a reasonable solution for the reduction of WOF in surimi products.