bluuebunny/crossref_metadata_2025_split huggingface dataset:
A scientometric analysis and critical review of digital twin applications in project operation and maintenance
Authors: Lu Meiqi , Antwi-Afari Maxwell Fordjour 
Published: August 2024

PurposeRecent emerging information technologies like digital twin (DT) provide new concepts and transform information management processes in the architecture, engineering and construction (AEC) industry. Although numerous articles are pertinent to DT applications, existing research areas and potential future directions related to the state-of-the-art DT in project operation and maintenance (O&M) are yet to be studied. Therefore, this paper aims to review the state-of-the-art research on DT applications in project O&M.Design/methodology/approachThe current review adopted four methodological steps, including literature search, literature selection, science mapping analysis and qualitative discussion to gain a deeper understanding of DT in project O&M. The impact and contribution of keywords and documents were examined from a total of 444 journal articles retrieved from the Scopus database.FindingsFive mainstream research topics were identified, including (1) DT-based artificial intelligence technology for project O&M, (2) DT-enabled smart city and sustainability, (3) DT applications for project asset management, (4) Blockchain-integrated DT for project O&M and (5) DT for advanced project management. Subsequently, research gaps and future research directions were proposed.Originality/valueThis study intends to raise awareness of future research by summarizing the current DT development phases and their impact on DT implementation in project O&M among researchers and practitioners.
Artificial intelligence-based droplet size prediction for microfluidic system
Authors: Dubey Sameer , Vishwakarma Pradeep , Ramarao TVS , Dubey Satish Kumar , Goel Sanket , Javed Arshad 
Published: August 2024

Purpose
This study aims to introduce a vision-based model to generate droplets with auto-tuned parameters. The model can auto-adjust the inherent uncertainties and errors involved with the fabrication and operating parameters in microfluidic platform, attaining precise size and frequency of droplet generation.

Design/methodology/approach
The photolithography method is utilized to prepare the microfluidic devices used in this study, and various experiments are conducted at various flow-rate and viscosity ratios. Data for droplet shape is collected to train the artificial intelligence (AI) models.

Findings
Growth phase of droplets demonstrated a unique spring back effect in droplet size. The fully developed droplet sizes in the microchannel were modeled using least absolute shrinkage and selection operators (LASSO) regression model, Gaussian support vector machine (SVM), long short term memory (LSTM) and deep neural network models. Mean absolute percentage error (MAPE) of 0.05 and R2 = 0.93 were obtained with a deep neural network model on untrained flow data. The shape parameters of the droplets are affected by several uncontrolled parameters. These parameters are instinctively captured in the model.

Originality/value
Experimental data set is generated for varying viscosity values and flow rates. The variation of flow rate of continuous phase is observed here instead of dispersed phase. An automated computation routine is developed to read the droplet shape parameters considering the transient growth phase of droplets. The droplet size data is used to build and compare various AI models for predicting droplet sizes. A predictive model is developed, which is ready for automated closed loop control of the droplet generation.
A comparative evaluation of multi-criteria decision-making framework for armed unmanned aerial vehicle
Authors: Keleş Nuh 
Published: August 2024

PurposeThis study focuses on the selection of armed unmanned aerial vehicles (AUAV), which have recently taken an important place on the world agenda, are used effectively in the defense industry and change the war systems of countries. This study aims to select the most suitable armed AUAV by using and comparing multi-criteria decision-making (MCDM) methods.Design/methodology/approachThere are various types of (unmanned aerial vehicles) UAVs, and some of them are Armed UAVs. This study used the criteria obtained from the market and previous UAV studies and ranked/selected various AUAVs produced in line with the determined criteria. The AHP method was used to prioritize the criteria, and the PROMETHEE method, a powerful ranking method, was used to rank/select the alternatives.FindingsBy the expert judgments, the payload capacity (28.2%) criteria took first rank by far as the most important criteria. The AUAV alternatives are listed as 1-6-5-2-7-3-4, respectively.Practical implicationsUAVs around the world have been showing significant and rapid developments recently, and those concerned closely follow developments in this field. Depending on the development of the aviation industry and technology, UAVs provide services to individuals or institutions in various ways for civil or military use.Originality/valueThe difference from similar studies is the research of Armed UAVs. Sensitivity analysis was performed and alternatives were analyzed by their weights. Comparisons were made using the MEREC, LOPCOW, and ELECTRE methods.
Study of the sealing performance of a high-speed deep groove mechanical seal thermodynamic lubrication model
Authors: Zhang Weizheng , Han Dongmin 
Published: August 2024

Purpose
The purpose of this study is to investigate the sealing performance of different deep groove mechanical seals by considering the changing law of dynamic pressure effect and temperature gradient caused by high speed and high pressure.

Design/methodology/approach
A thermohydrodynamic lubrication model (THD) of the mechanical seal was constructed and solved using the commercial software FLUENT. The pressure and temperature distributions of the fluid under different groove types, as well as the sealing performance under different pressures, rotational speeds and sealing gaps, are obtained.

Findings
The annular groove (AG) can effectively reduce the temperature, and the T-type spiral groove (STG) can effectively inhibit the leakage. The increase of pressure and rotational speed leads to the enhancement of dynamic pressure effect and the increase of leakage, while the sealing gap increases and the leakage increases while taking away more heat. The choice of groove type is very important to the impact of sealing performance.

Originality/value
In consideration of the beneficial effect of deep grooves on cooling performance, the viscous temperature equation and the impact of the thermodynamic lubrication model are evaluated in conjunction with the sealing performance of four distinct groove types. This approach provides a theoretical basis for the optimal design of mechanical seals.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2024-0184/
Optimization of cutting parameters using response surface methodology (RSM) in milling Inconel 718 superalloy using Borax-added nanofluid in (MQL) system
Authors: Kurşuncu Bilal 
Published: August 2024

Purpose
The need for materials with superior mechanical and physical properties has recently increased. Inconel 718, one of these superalloys, is frequently used in the aviation and space industry. However, during Inconel 718 superalloy machining, cutting tools and cutting fluid were excessively consumed. This study aims to investigate using an innovative and environmentally friendly cutting fluid in milling the Inconel 718 superalloy.

Design/methodology/approach
In this study, a Borax- (BX-)added cutting nanofluid was prepared and used for the first time as a coolant in the minimum quantity lubrication (MQL) system of Inconel 718’s face milling process. Response surface methodology (RSM) was used to determine the effect of the BX element on cutting performance. Face milling operations were carried out by adding BX elements at 1.5% and 3% at two different rates.

Findings
As the BX additive ratio in the cutting fluid used in the MQL system increased, the cutting force values decreased. The lowest cutting force value was measured in the tests with cutting fluid containing 1.5% BX. In addition, a smoother surface was obtained by adding 1.5% BX to the cutting fluid. Furthermore, cutting tool life increased by 20% compared to 0% by 3% BX nanofluid concentration.

Originality/value
The study is innovative regarding the material processed, the cutting fluid used and the method used for the aerospace industry.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2024-0191/
Family business culture: a strategic resource and driver of firm performance
Authors: Alipour Kent K. , Barber Dennis , Batchelor John H. , Peake Whitney , Jones Seth , McIlveene Tim 
Published: August 2024

PurposeThrough a resource-based theoretical lens, we elucidate conditions under which family business culture (FBC) amplifies the positive effects of high-performance work systems (HPWS) intensity and exacerbates the negative effects of low human capital uniqueness (HCU) on firm performance. By doing so, we answer the call for more research on the conditions under which FBC influences firm outcomes.Design/methodology/approachThe present study sampled 226 small business owners across the USA, who provided their responses to online survey questions. Hypotheses were assessed via path analysis in MPlus 8.8, using maximum likelihood estimation.FindingsFBC, HPWS intensity and HCU were positively associated with firm performance. Further, the HPWS intensity – firm performance and HCU – firm performance links were moderated by FBC. Specifically, increased levels of HPWS intensity were associated with greater firm performance when FBC was high, and firms with low levels of HCU tended to have particularly decreased levels of firm performance when FBC was low.Research limitations/implicationsConsistent with the resource-based view, firms' unique resources and competitive advantage may be tied to the extent to which they have an established FBC. High levels of FBC, which are characterized by shared values, loyalty, proud involvement and care toward the organization, can play a significant role in enhancing organizational performance. Family business leaders should prioritize cultivating an enhanced FBC alongside investments in HPWS and unique human capital.Originality/valueThis study contributes to understanding the theoretical underpinnings of FBC and its relationship with firm performance by examining FBC’s interaction with HPWS intensity and HCU. We highlight FBC as a valuable intangible resource that can enhance or diminish the effectiveness of other strategic resources in family firms, further extending the application of resource-based view theory in family business research.
Seeing convergence in battery electric vehicle technology through patents
Authors: Srivastava Madhur , Jain Karuna 
Published: August 2024

Purpose The study assesses the most significant architectural core technological system that converges into a Battery Electric Vehicle (BEV).Design/methodology/approach Conceptually grounded in the convergence phenomenon and utilizing the graph theory-based network construction approach, based on the Betweenness Centrality (BC) metric, core International Patent Classifications (IPCs) have been empirically identified. Based on these IPCs, the ownership structure of the patents was established through assignee analysis.Findings Analyzing the networks obtained at different IPC levels, we found that multiple technologies have converged in a BEV, from battery chemistry to electrical engineering and thermal management of electrical machines.Research limitations/implications The outcome of this work has led to the identification of BEV technologies, which can be further developed to assess the trends of technologies and associated gaps and aid technology management for the selection, acquisition, and exploitation of technology.Practical implications The outcome of this work will aid technology management practitioners in better planning the selection, acquisition, and exploitation of technologies associated with BEV.Originality/valueThe paper adds an evidence-based approach to the body of knowledge to identify the built-in technologies that produce a BEV.
Suit up or dress down: exploring the impact of CEO attire on corporate perceptions
Authors: Xu Xiaobing , Huang Wei , Cheng Lanping , Shi Haijiao 
Published: August 2024

Purpose
This study aims to investigate the influence of CEO attire formality on consumers’ perceptions of corporate image, drawing on first impression theory and spillover effect theory.

Design/methodology/approach
Four experimental studies were conducted to test the proposed effect, the underlying mechanism and the boundary condition.

Findings
The formality of CEO attire significantly influences consumers’ perceptions of corporate image. Specifically, formal CEO attire creates a stronger perception of corporate authority among consumers, mediated by perceived rule-following of the CEO. In contrast, informal CEO attire leads to a stronger perception of corporate friendliness, mediated by perceived psychological distance of the CEO. Moreover, a matching effect exists between the type of industry and CEO attire formality, where consumers perceive a greater match between authoritative industries and formally dressed CEOs, and between friendly industries and informally dressed CEOs. This alignment strengthens consumers’ corporate attitudes.

Practical implications
The findings offer valuable insights for CEOs aiming to foster a positive image through their attire, providing strategic guidance for aligning corporate image with industry characteristics.

Originality/value
This research extends the understanding of how consumers’ perceptions of CEO attire can spill over to affect the corporate image, offering a novel perspective on corporate image communication.
The edifying body: the role of embodied practices in the social production of servicescapes
Authors: Chronis Athinodoros 
Published: August 2024

PurposeThis research aims to explore and theorize the role of embodied practices – orchestrated by service providers – in the social production of servicescapes. It is claimed that the social character of the servicescape is shaped not only by narratives and materialities but also through the body. Bodily physical behaviors like physical movements in space, gestures, facial expressions, postures and tactile engagements with the surrounding materiality constitute a body language that conveys information and expresses meanings. In this kinetic capacity, the body becomes a building agent in the social constitution of the servicescape. As the author empirically demonstrates in the context of city tourism with diverse experiential opportunities, it is due to the body’s discriminatory orientation, walking, looking, pointing and acting in selective ways that the city emerges as a servicescape of particular kind.Design/methodology/approachMarket-oriented ethnography was conducted in Saint Petersburg, Russia, where the author observed the guiding practices of tour guides leading international tourists during two-day city excursions.FindingsThis research identifies and unpacks three clusters of embodied practices deployed by service providers as they guide customers at the servicescape: spatializing, emplacing and regulating. The role of the body and its association with narratives and materialities is identified in each cluster.Practical implicationsA number of embodied practices are provided for use by contact employees as they guide customers in the servicescape. Specific guidelines are also offered to service providers for the strategic employment of body language, their training is navigational skills and the coordination of body, narratives and materialities.Originality/valueThis study extends current materialistic and communicative approaches on the construction of servicescapes by claiming that the servicescape in not only a physical and narrative construction but something that is also configured through the body; provides three clusters of embodied practices deployed by service providers; theorizes the intertwined nature of narratives, materiality and the body; defines servicescapes as dynamic socio-spatial entities emerging from the constant {narrative-material-body} arrangements orchestrated by service providers; and sheds light on the mediating role of the body in the social production of servicescapes.
Financial awareness, investment strategies and investor satisfaction: a multilayered empirical model testing in the Indian context
Authors: Saini Shallu , Sharma Tejinder , Parayitam Satyanarayana 
Published: August 2024

PurposeThis research explores the relationships between financial awareness and investor satisfaction about retirement planning, particularly in the Indian context. We developed a conceptual model involving double moderation effects of post-retirement objectives and external factors influencing investor satisfaction.Design/methodology/approachA carefully crafted survey instrument was designed to collect data from the 480 employees working in six administrative departments in the northern part of India. After checking the measurement properties of the survey instrument through the Lisrel package of structural equation modeling, the hypotheses were tested using Hayes PROCESS macros.FindingsThe results indicate that financial awareness is positively related to (1) investor satisfaction and (2) investment purpose; investment purpose is positively related to investor satisfaction; post-retirement objectives moderate the relationship between financial awareness and investment purpose; external factors moderate the moderated relationship between financial awareness and post-retirement objectives (first moderator) and investor satisfaction mediated through investment purpose.Practical implicationsThe outcomes of this study have important implications for the employees embarking on making decisions concerning their retirement. The conceptual model provides a simple framework explaining how financial awareness and investor satisfaction are affected by the post-retirement objectives of individuals. This study highlights the importance of considering the effect of external factors influencing financial decisions.Originality/valueThe three-way interactions in this exploratory research contribute to the growing literature on behavioral finance, particularly concerning retirement planning involving pension.
Artificial intelligence and decision-making in government functions: opportunities, challenges and future research
Authors: Alshahrani Albandari , Griva Anastasia , Dennehy Denis , Mäntymäki Matti 
Published: August 2024

Purpose
Artificial intelligence (AI) has received much attention due to its promethean-like powers to transform the management and delivery of public sector services. Due to the proliferation of research articles in this context, research to date is fragmented into research streams based on different types of AI technologies or a specific government function of the public sector (e.g. health, education). The purpose of this study is to synthesize this literature, identify challenges and opportunities, and offer a research agenda that guides future inquiry.

Design/methodology/approach
This paper aggregates this fragmented body of knowledge by conducting a systematic literature review of AI research in public sector organisations in the Chartered Association of Business Schools (CABS)-ranked journals between 2012 and 2023.

Findings
The search strategy resulted in the retrieval of 2,870 papers, of which 61 were identified as primary papers relevant to this research. These primary papers are mapped to the ten classifications of the functions of government as classified by the Organisation for Economic Co-operation and Development (OECD), and the reported challenges and benefits aggregated.

Originality/value
This study advances knowledge by providing a state-of-the-art of AI research based the OECD classifications of government functions, reporting of claimed benefits and challenges and providing a research agenda for future research.
Lingering legacies: Past growth and parental experience influence somatic growth in a fish population
Authors: Almeida L. Zoe , Ludsin Stuart A. , Faust Matthew D. , Marschall Elizabeth A. 
Published: August 2024

Abstract

Body size and growth rate can influence individual and population success by mediating fitness. Understanding the factors that influence growth can be difficult to disentangle, however, because growth can be shaped by environmental conditions recently experienced, as well as legacy effects from conditions experienced earlier in life and by parents (via parental effects).

To improve understanding of growth among annual cohorts (1982–2015) of Lake Erie Walleye (Sander vitreus), a species with life‐history and growth characteristics similar to many other long‐lived, iteroparous fishes, we determined the role of the following hypothesised factors: (H1) recent environmental conditions; (H2) traits and experiences of the cohort, including growth, in the previous year; (H3) early‐life cohort density; (H4) early‐life body size; and (H5) parental composition and environment. We evaluated the relative importance of these hypothesised factors using piecewise structural equation modelling in an information‐theoretic framework.

Our results indicated that cohort‐specific growth of Lake Erie Walleye was most strongly influenced by traits (growth) and experiences of the cohort during the previous year (H2) and parental composition and environment (H5). The observed negative relationship with growth during the previous year may indicate that Walleye exhibit compensatory growth. The relationships with parental sizes and environments may mean that parental contributions to offspring affects cohorts into adulthood, with serious implications for the effects of climate change. Warm winters appear to negatively influence offspring growth performance for many years.

Legacy effects had a stronger influence on cohort growth than recent environmental conditions, providing new understanding of how somatic growth is regulated in Lake Erie's Walleye population. Specifically, the parental composition and environment appear important via epigenetic and/or egg‐provisioning legacies, with carryover effects modifying growth among years. Ultimately, our findings demonstrate that understanding recent growth in animal populations similar to Lake Erie Walleye may require knowledge of past conditions, including those experienced by parents.