bluuebunny/crossref_metadata_2025_split huggingface dataset:
An adaptive Kriging method based on K-means clustering and sampling in n-ball for structural reliability analysis
Authors: Wang Jinsheng , Cao Zhiyang , Xu Guoji , Yang Jian , Kareem Ahsan 
Published: February 2023

PurposeAssessing the failure probability of engineering structures is still a challenging task in the presence of various uncertainties due to the involvement of expensive-to-evaluate computational models. The traditional simulation-based approaches require tremendous computational effort, especially when the failure probability is small. Thus, the use of more efficient surrogate modeling techniques to emulate the true performance function has gained increasingly more attention and application in recent years. In this paper, an active learning method based on a Kriging model is proposed to estimate the failure probability with high efficiency and accuracy.Design/methodology/approachTo effectively identify informative samples for the enrichment of the design of experiments, a set of new learning functions is proposed. These learning functions are successfully incorporated into a sampling scheme, where the candidate samples for the enrichment are uniformly distributed in the n-dimensional hypersphere with an iteratively updated radius. To further improve the computational efficiency, a parallelization strategy that enables the proposed algorithm to select multiple sample points in each iteration is presented by introducing the K-means clustering algorithm. Hence, the proposed method is referred to as the adaptive Kriging method based on K-means clustering and sampling in n-Ball (AK-KBn).FindingsThe performance of AK-KBn is evaluated through several numerical examples. According to the generated results, all the proposed learning functions are capable of guiding the search toward sample points close to the LSS in the critical region and result in a converged Kriging model that perfectly matches the true one in the regions of interest. The AK-KBn method is demonstrated to be well suited for structural reliability analysis and a very good performance is observed in the investigated examples.Originality/valueIn this study, the statistical information of Kriging prediction, the relative contribution of the sample points to the failure probability and the distances between the candidate samples and the existing ones are all integrated into the proposed learning functions, which enables effective selection of informative samples for updating the Kriging model. Moreover, the number of required iterations is reduced by introducing the parallel computing strategy, which can dramatically alleviate the computation cost when time demanding numerical models are involved in the analysis.
Impact of digital inclusive finance on household tourism consumption: evidence from China
Authors: Wu Xiaojun , Chang Huijia 
Published: February 2023

PurposeThis paper aims to explore the role of digital inclusive finance (DIF) in influencing household tourism consumption, whether this influence differs between households with different characteristics and determining the intermediate mechanisms that influence the relationship.Design/methodology/approachThe conceptual framework of this study was designed on the basis of the research on DIF in residential consumption practices. The China Household Finance Survey (CHFS) and the Peking University DIF Index were used in the study, which included four years of unbalanced panel data from 25 provinces in China. A fixed effects model was used to validate the conceptual framework and hypothesis testing.FindingsBoth hypothesis paths proposed in this study were supported. Results of this study show that DIF has a significant contribution to household tourism consumption and shows a positive impact in terms of both breadth of coverage and depth of use, and that Internet usage is an important mediating mechanism for DIF to promote household tourism consumption. Thus, the use of DIF as a tool can have a positive impact on tourism consumption.Research limitations/implicationsResults of this study will help researchers and tourism businesses understand the relationship and mechanisms at play between DIF and household tourism consumption and leverage financial tools to drive tourism revival. However, the lack of third-country data for comparative analysis may render the conclusions inapplicable to every economy.Originality/valueThis study is the first to examine the relationship between DIF and household tourism consumption, using an “individual + time + region” fixed effects model to conduct specific empirical tests.
Students' perception of environmental sustainability (ES) exercises at higher education institutions (HEIs) in Bangladesh
Authors: Haque Md. Nazmul , Abtahee Muhallil , Islam Afra Anika , Sadiq Md. Ashhab 
Published: February 2023

PurposeEnvironmental sustainability (ES) is a vital issue in recent times as higher education institutions (HEIs) are expected to have significant environmental impacts. This study aims to explore the ES attitudes in three different HEIs in Bangladesh based on student perception.Design/methodology/approachPrimary data from 200 respondents of 3 HEIs through a questionnaire survey has been collected. The questionnaire was designed to collect data on six criteria: awareness, concern, attitude, willingness to participate and recommendations about campus ES. Pearson's chi-square (χ2), Fisher's exact test statistic, one-way analysis of variance and Spearman's correlation have been used to measure difference and correlation in SPSS.FindingsThough students are aware of ES, only 21% are concerned about the issue. In total, 68% of respondents agreed that campus ES is not a responsibility of authority alone and that others have a role to play; 24% of students do not even know about recycling practices; and 73% of the respondents suggested that knowledge-sharing seminars/conferences could be the best way to improve the campus's ES.Practical implicationsA top-down planning approach excludes students from decision-making and direct engagement in Sustainable Campus building. Including student perceptions in planning assists policymakers and smooths the path to a more sustainable campus.Originality/valueThis study contributes to the existing literature by providing insight into students' perceptions of sustainability practices in the campus environment.
Artificial intelligence: the way ahead for employee engagement in corporate India
Authors: Saxena Manisha , Mishra Dharmesh K. 
Published: February 2023

Purpose
Employee engagement (EE) can result in multiple positive impacts not only on the individual and his/her team but also on the organisational and financial outcome of the business. If artificial intelligence (AI) can be used as a tool to facilitate EE, organisations will be more than satisfied to adopt it. The paper aims to study the penetration of AI for EE in corporate India.

Design/methodology/approach
Based on the information gathered through secondary research, a framework of questions was built and sent to some senior people in the area of AI and HR to check for its completeness. Respondents based on inclusion criteria were selected through random purposive sampling to be a part of the study. A total of 23 respondents participated in the study. Qualitative data analysis of the transcripts was conducted using MAXQDA 2022 (Verbi Software, Berlin, Germany), which is a qualitative data analysis software. Multiple readings were undertaken to identify the patterns and relationships in the data.

Findings
The participants described a variety of issues while using or planning to use AI for EE. Some of the issues mentioned were related to cost, challenges, mindsets and attitudes, demography of employees, comfort in the use of technology, size of the organisation, change management strategies, software vendors and vendor support. The most common responses were grouped into headings such as Organisation, Process, Employee and Software Choice Related aspects.

Originality/value
Lately, the overall work environment, work and personal life balance, and quality of life have become more desirable than earning a good salary. AI is becoming a part of various aspects of business but its role in HR is yet to be explored. AI’s capabilities to predict may result in more employee work satisfaction. The paper explores the possibility of using AI as a tool in every aspect of employee life cycle, thereby attempting to make HR processes more productive and enhance EE.
Investigating the impact of servant leadership on service excellence: the mediating role of PsyCap as a personal resource and buffering role of conscientiousness
Authors: Qamar Faisal , Soomro Shuaib Ahmed 
Published: February 2023

Purpose
Applying servant leadership theory, this study aims to investigate whether servant leadership predicts service excellence of bank employees through mediating role of psychological capital (PsyCap). It also tests buffering role of conscientiousness in boosting service excellence.

Design/methodology/approach
The study uses data collected from 224 bank employees. SPSS and jamovi statistics were used for data analysis.

Findings
Study findings suggest a significant relationship between servant leadership, service excellence and PsyCap. PsyCap emerged as a mediator, and conscientiousness moderated the nexus between servant leadership and service excellence.

Practical implications
Findings highlight important implications for organisational practitioners. Because servant leadership leads to service excellence, practitioners should consider adopting servant leadership at every organizational level. Further, servant leaders could enhance followers’ PsyCap for creating service excellence. Organisations should use customized training programs and development interventions to enhance service excellence.

Originality/value
This study is one of the few studies to investigate the mediating role of PsyCap as a personal resource and buffering role of conscientiousness for service sector employees. Study generates new insights on employee experiences working in service sectors.
Nexus between financial inclusion and women empowerment: evidence from developing countries
Authors: Arshad Ameena 
Published: February 2023

Purpose
This paper aims to conduct an empirical investigation of how financial inclusion impacts women empowerment. Then, it examines the overall effect of various dimensions of financial inclusion on women empowerment in developing countries using the panel data for the time period of 2004–2019.

Design/methodology/approach
To overcome the problem of endogeneity, the study has used a fixed-effect model, two-stage least square GMM estimation techniques. Secondary data was collected from various websites such as WDI, UNICEF and UNESCO.

Findings
The results show that generally, the influence of financial inclusion on women empowerment is positive, confirming previous empirical literature results. The study found evidence that if there is more financial inclusion in the country, it will benefit women by enabling them to see their qualities and skills, which make them strong and dominant. Proper development and enhancement of those skills are only possible if proper education, awareness and space are given to express oneself. According to the results, financial development, gender parity index and women's employment positively affects women empowerment, while gender discrimination has a negative impact on women empowerment. The study highlights that to encourage women empowerment in developing countries. Governments and policymakers have to carefully check and reconsider that what are the most optimal financial inclusion programs that will help to improve the women empowerment in the country.

Practical implications
The study highlights that to encourage women empowerment in developing countries, governments and policymakers have to carefully check and reconsider what are the most optimal financial inclusion programs that will help to improve women empowerment in the country.

Originality/value
The literature does not clearly show the impact of financial inclusion dimensions on women empowerment in developing countries. Therefore, there is a need to use all the dimensions of financial inclusion to check the overall impact on women empowerment in developing countries. For this purpose, the financial inclusion index is developed. A new dimension of non-life insurance is introduced, which has not been used previously by any researcher to check financial inclusion impact.
Impacts of using discrete and continuous porous layers on the cooling performance of confined multiple slot jet impingement under partially active magnetic field
Authors: Selimefendigil Fatih , Oztop Hakan 
Published: February 2023

PurposeThe purpose of this study is to examine the effects of using discrete and continuous porous layers on the convective heat transfer improvement for multiple slot jet impingement onto a flat surface under magnetic field.Design/methodology/approachIn the domains which are separated by the porous layers, uniform magnetic field with different strengths is used and as the solution technique finite element method is used. The numerical study is conducted considering different values of parameters: Reynolds number (250–1000), strength of magnetic field in different domains (Hartmann number between 0 and 20), permeability of discrete or continuous layers (Darcy number between 105 and 102) and number of layers in discrete case (2–10). Artificial neural network is used for performance estimation of systems equipped with different types of porous layers.FindingsIt is observed that significant differences occur in the local Nu between the discrete and continuous layer case, especially at lower Re, while peak Nu value is 77% higher in discrete layer configurations as compared to continuous one at Re = 250. Upper domain magnetic field results in average Nu enhancement, while the trend is opposite for the lower domain magnetic field strength. The increment amount becomes 10%, while the reduction amount is obtained as 38% at the highest magnetic field strengths. The permeability of layers in both cases and number of layers in discrete porous layer case provide effective solution for the cooling performance control. A modeling approach based on artificial neural networks provides fast thermal performance estimations of multiple impinging jets equipped with discrete and continuous porous layers.Originality/valueOutcomes of the study are useful in development and optimization of new cooling systems in many thermal engineering systems encountered in photovoltaic panels, micro-electro-mechanical systems, metal processing and many others.
Persistent economic inequalities in menstrual hygiene practices in India: a decomposition analysis
Authors: Pradhan Jalandhar , Patra Kshirabdhi Tanaya , Behera Sasmita 
Published: February 2023

Purpose
The purpose of this study is to examine the socio-economic inequalities that exist in the use of unhygienic menstrual practices in India and its states, as well as to identify the contribution of various socio-economic factors that leads to these inequalities.

Design/methodology/approach
Data from the National Family Health Survey-5 (2019–21) for 240,285 menstruating women aged 15–24 years is used to examine the above objectives. The concentration index for unhygienic menstrual practices is calculated to measure the socio-economic inequalities, which are then decomposed into their determining factors.

Findings
The state of Punjab experiencing the highest level of economic inequality, followed by Telangana and Haryana. The results from decomposition analysis suggest that rural residence (13%), illiteracy (7%), poor economic status (53%), not reading newspaper (12%) and not watching TV (14%) contribute 99% to the total socio-economic inequality in using unhygienic menstrual practices in India. The contribution of economic status to total inequalities is more in all the states except for Kerala and Mizoram, where caste and residence play an important role.

Originality/value
This paper signifies the role of economic inequality in the use of unhygienic menstrual practices in India as well as the contribution of various socio-economic factors contributing towards these inequalities. The results from decomposition analysis suggest the need for unique health intervention strategies for different states following the evidence of major contributions to total inequalities in the use of unhygienic menstrual practices.
Shared mental models in multi-team systems: improving enterprise system implementation
Authors: Wu Xiaosong Jason , Jiang Randi , Tsai Jacob Chia-An , Klein Gary 
Published: February 2023

PurposeAn enterprise system (ES) implementation proceeds as a multi-team system (MTS), with multiple project teams spanning time and business functions to meet organization-wide goals. Thus, the focus shifts from the output of a single project team to the outcomes of all ES project teams as part of the larger MTS. This study extends concepts of shared mental models (SMMs) in aspects of goals and plans in both MTS level and project team level and further examines SMMs' interactive impact on the MTS-based project performance.Design/methodology/approachThis study tests the model with survey data from 140 MTS-based ES implementations in China. Partial Least Squares Structural Equation Modeling (PLS SEM) served to test the hypothesized relationships.FindingsSMMs of project team-level goals and plans contribute to the cooperation and coordination in the ES implementation and thereby improve final implementation efficiency either directly or in combination. However, SMMs of MTS-level goal and plans contribute integration only when considered with achievements at the project level.Originality/valuePrior literature suggests a critical role of integration among ES project teams but finds challenges in achieving such integration. By leveraging shared mental model theory, the authors' results show that both common goal and plan understandings in the integration team critically influence integration in ES implementation and, thus, the final ES implementation efficiency, though not in a strictly linear relationship.
A review on fatigue monitoring of structures
Authors: García-Fernández Natalia , Aenlle Manuel , Álvarez-Vázquez Adrián , Muniz-Calvente Miguel , Fernández Pelayo 
Published: February 2023

PurposeThe purpose of this study is to review the existing fatigue and vibration-based structural health monitoring techniques and highlight the advantages of combining both approaches.Design/methodology/approachFatigue monitoring requires a fatigue model of the material, the stresses at specific points of the structure, a cycle counting technique and a fatigue damage criterion. Firstly, this paper reviews existing structural health monitoring (SHM) techniques, addresses their principal classifications and presents the main characteristics of each technique, with a particular emphasis on modal-based methodologies. Automated modal analysis, damage detection and localisation techniques are also reviewed. Fatigue monitoring is an SHM technique which evaluate the structural fatigue damage in real time. Stress estimation techniques and damage accumulation models based on the S-N field and the Miner rule are also reviewed in this paper.FindingsA vast amount of research has been carried out in the field of SHM. The literature about fatigue calculation, fatigue testing, fatigue modelling and remaining fatigue life is also extensive. However, the number of publications related to monitor the fatigue process is scarce. A methodology to perform real-time structural fatigue monitoring, in both time and frequency domains, is presented.Originality/valueFatigue monitoring can be combined (applied simultaneously) with other vibration-based SHM techniques, which might significantly increase the reliability of the monitoring techniques.
Blockchainembedded supply chain finance solutions for Indian MSMEs: a TISM and MICMAC approach
Authors: Sahoo P.S. Biswa Bhusan , Thakur Vikas 
Published: February 2023

Purpose
To stabilise the financial flow and ensure the smooth operations of the micro, small and medium enterprises (MSMEs), supply chain finance (SCF) is one of the efficient alternative solutions suggested by various researchers and practitioners. The application of blockchain technology (BT) could maximize the capability and performance of the SCF throughout the supply chain. Therefore, this study aims to identify and analyse the factors of implementing BT-embedded SCF solutions for Indian MSMEs.

Design/methodology/approach
The total interpretative structural modeling (TISM) methodology is applied to explore the hierarchical as well as non-hierarchical relationships among the factors of implementing BT-embedded SCF solutions in Indian MSMEs. Thereafter, the fuzzy-cross-impact matrix-multiplication (F-MICMAC) approach is opted to classify all the factors into four groups depending upon their driving and dependence powers in the overall TISM hierarchy.

Findings
The result of this study revealed that “real-time exchange of information” and “transparent platform” are the most influential factors and play important role in the application of blockchain in SCF in Indian MSMEs. The real-time exchange of information ensures the easy and quick access to data by any partner across the supply chain and, also the data and information remain secure.

Practical implications
The findings of this study help the MSMEs and supply chain managers to implement the blockchain-embedded solutions to overcome the traditional SCF challenges and obstructions by setting up short-term as well as long-term policies and will open the door for future research work.

Originality/value
To the best of the author’s/authors’ knowledge, this study is the first of its kind, where the data is collected from field experts to identify the factors influencing the blockchain-embedded SCF adoption in Indian MSMEs’ perspectives, to tackle the flaws of SCF and strengthen the MSMEs.
Approach towards service design process for heritage preservation and sustainability of Bodo Dokhona
Authors: Brahma Chaitali , Saha Bhaskar , Chowdhury Anirban 
Published: February 2023

PurposeThe purpose of this study is to understand the perception of the local weavers amongst the Bodos, a tribe of the North-east (NE) India. Towards this a concept of a service pipeline process in the field of heritage attire preservation of Bodo Dokhona was focused that would endorse the local weavers' community for its wellbeing and sustainability.Design/methodology/approachThe design approaches have been framed after interactions with the local weavers through a survey conducted for understanding the issues pertaining to weavers. Towards sustaining the Bodo heritage attire Dokhona, a service design pipeline for better management system was developed in three phases. Interactions with the local weavers through survey and validation for its feasibility were undertaken.FindingsThis research paper focuses on publishing innovative survey research and practice related to cultural heritage management of the Bodo traditional wear Dokhona and sustainability conservation of the pipeline process. Therefore, developing both skill and knowledge for the weavers' community of the region.Social implicationsThe design pipeline approach in this paper has been shared with the local weavers' for easy understanding of the step-by-step process of weaving a Dokhona made of eri silk. A progressive Bodo weaver will gain skill training which would lead to weavers' empowerment.Originality/valueDeveloping and documenting an innovative service design approach. In this context, an insight for women empowerment leading to preservation of Bodo heritage is valued.