bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modeling the nexus between perceived fit and work engagement: an empirical investigation
Authors: Sharma Komal , Sood Sarita 
Published: April 2024

PurposeDespite a variety of theoretical and empirical studies on work engagement (WE), few have explored the role of individual-level factors. Underpinned by person-environment fit (PEF) and self-determination theory (SDT), the present study aims to pinpoint the fundamental process driving the relationship between WE and perceived fit (PF).Design/methodology/approachUsing the survey method, data were collected from 263 college teachers. Confirmatory factor analysis (CFA) and structural equation modeling were applied to test the serial mediation paradigm.FindingsThe results of the study accentuate crafting as an important mediator between PF and WE. The current study does not support the mediating role of authentic living between PF and WE. Both authentic living and job crafting (JC) mediate the PF and WE relationship. Employees’ sense of congruence promotes living authentically and JC, resulting in WE.Practical implicationsThe WE of employees is harnessed if they get an opportunity to practice authenticity. Authentic employees feel compelled to bring change to the job so that it is in alignment with their core values, thus resulting in WE. The organizations that create a culture in which the administrators allow the practice of individual-factors, namely authentic living, and JC successfully fosters WE.Originality/valueThe variables presented in the serial mediation model explain the underlying mechanisms between PF and WE. This is among the very few studies that explore the individual-level factors that boost individual levels of WE among teachers. Therefore, it adds to the literature on WE.
Integrating GIS and BIM with MCDM for infrastructure planning: a comprehensive framework
Authors: Santos Paulo Alberto Sampaio , Cortez Breno , Carvalho Michele Tereza Marques 
Published: April 2024

PurposePresent study aimed to integrate Geographic Information Systems (GIS) and Building Information Modeling (BIM) in conjunction with multicriteria decision-making (MCDM) to enhance infrastructure investment planning.Design/methodology/approachThis analysis combines GIS databases with BIM simulations for a novel highway project. Around 150 potential alternatives were simulated, narrowed to 25 more effective routes and 3 options underwent in-depth analysis using PROMETHEE method for decision-making, based on environmental, cost and safety criteria, allowing for comprehensive cross-perspective comparisons.FindingsA comprehensive framework proposed was validated through a case study. Demonstrating its adaptability with customizable parameters. It aids decision-making, cost estimation, environmental impact analysis and outcome prediction. Considering these critical factors, this study holds the potential to advance new techniques for assessment and planning railways, power lines, gas and water.Research limitations/implicationsThe study acknowledges limitations in GIS data quality, particularly in underdeveloped areas or regions with limited technology access. It also overlooks other pertinent variables, like social, economic, political and cultural issues. Thus, conclusions from these simulations may not entirely represent reality or diverse potential scenarios.Practical implicationsThe proposed method automates decision-making, reducing subjectivity, aids in selecting effective alternatives and considers environmental criteria to mitigate negative impacts. Additionally, it minimizes costs and risks while demonstrating adaptability for assessing diverse infrastructures.Originality/valueBy integrating GIS and BIM data to support a MCDM workflow, this study proposes to fill the existing research gap in decision-making prioritization and mitigate subjective biases.
Feeling ostracized? Exploring the hidden triggers, impact on silence behavior and the pivotal role of ethical leadership
Authors: Al-Dhuhouri Fatima Saeed , Mohd-Shamsudin Faridahwati , Bani-Melhem Shaker 
Published: April 2024

PurposeThe literature on workplace ostracism lacks the integration of the antecedents and consequences of ostracism in a single study, hindering a holistic picture of how perceived workplace ostracism (PWO) emerges and subsequently hampering theoretical development and practical intervention. Based on this critical gap, we examine the effect of person-organization unfit and interpersonal distrust as potential antecedents of PWO, which we propose to affect employee silence. Furthermore, we highlight PWO as a mediator linking interpersonal distrust and person-organization unfit to employee silence. In addition, we further investigate the boundary condition of ethical leadership to address when the effect of PWO on employee silence can be potentially mitigated.Design/methodology/approachSurvey data were collected from 242 service industry employees in the United Arab Emirates, and analyzed using PLS-SEM.FindingsBoth person-organization unfit and interpersonal distrust lead to PWO, increasing employee silence. Feeling ostracized serves as a mediator, linking interpersonal distrust and person-organization unfit to employee silence. Ethical leadership moderates this, reducing the ostracism’s impact on silence, showcasing its value in mitigating harmful workplace dynamics.Practical implicationsThe study is useful for organizations and managers as it illustrates the causes and consequence of PWO and provides practical solutions.Originality/valueThis study is one of the scarce endeavors to holistically investigate workplace ostracism by testing its antecedents and consequence in a single model. Furthermore, it explores person-organization unfit as a novel antecedent of PWO.
Dynamics of household welfare change and analysis of coping strategies during floods: an empirical investigation
Authors: Senapati Sibananda 
Published: April 2024

PurposeThis study aims to understand the socioeconomic impact of flood events on households, especially household welfare in terms of changes in consumption and coping strategies to deal with flood risk. This study is based on Bihar, one of the most frequently flood-affected, most populous and economically backward states in India.Design/methodology/approachPrimary data were collected from 700 households in the seven most frequently flood-affected districts in Bihar. A total of 100 individuals from each district were randomly selected from flood-affected villages. Based on a detailed literature review, an econometric (probit) model was developed to test the null hypothesis of the availability of consumption insurance, and the multivariate probability approach was used to analyze the various coping strategies of these households.FindingsThe results of this study suggest that flood-affected households maintain their consumption by overcoming various losses, including income, house damage and livestock loss. Households depend on financial transfers, borrowings and relief, and migrate to overcome losses. Borrowing could be an extra burden as the government compensates for house damage and crop loss late to the affected households. Again, there is no compensation to overcome livelihood loss and deal with occurrences of post-flood diseases, which further emphasizes the policy implications of strengthening the health infrastructure in the state and generating alternative livelihood opportunities.Originality/valueThis study discusses flood risk in terms of changes in household welfare, identifies the most effective risk-coping capabilities of rural communities and contributes to the shortcomings of the government insurance and relief model.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-07-2023-0569
Automated Dewey Decimal Classification of Swedish library metadata using Annif software
Authors: Golub Koraljka , Suominen Osma , Mohammed Ahmed Taiye , Aagaard Harriet , Osterman Olof 
Published: April 2024

PurposeIn order to estimate the value of semi-automated subject indexing in operative library catalogues, the study aimed to investigate five different automated implementations of an open source software package on a large set of Swedish union catalogue metadata records, with Dewey Decimal Classification (DDC) as the target classification system. It also aimed to contribute to the body of research on aboutness and related challenges in automated subject indexing and evaluation.Design/methodology/approachOn a sample of over 230,000 records with close to 12,000 distinct DDC classes, an open source tool Annif, developed by the National Library of Finland, was applied in the following implementations: lexical algorithm, support vector classifier, fastText, Omikuji Bonsai and an ensemble approach combing the former four. A qualitative study involving two senior catalogue librarians and three students of library and information studies was also conducted to investigate the value and inter-rater agreement of automatically assigned classes, on a sample of 60 records.FindingsThe best results were achieved using the ensemble approach that achieved 66.82% accuracy on the three-digit DDC classification task. The qualitative study confirmed earlier studies reporting low inter-rater agreement but also pointed to the potential value of automatically assigned classes as additional access points in information retrieval.Originality/valueThe paper presents an extensive study of automated classification in an operative library catalogue, accompanied by a qualitative study of automated classes. It demonstrates the value of applying semi-automated indexing in operative information retrieval systems.
Investigating the dynamics of FinTech adoption: an empirical study from the perspective of mobile banking
Authors: Kumar Jitender , Rani Vinki 
Published: April 2024

PurposeFinancial technology (FinTech) is experiencing transformation because artificial intelligence has become the new norm to enrich the experiences of individuals in this modern era of technological advancement. The article utilizes the stimuli-organism-response (SOR) framework to investigate how individual attitudes and behavioral intentions influence the adoption of FinTech, particularly in mobile banking.Design/methodology/approach433 respondents participated in the self-administered survey to answer questions related to demographic profiles and items to assess the variables adopted in the conceptual framework. The study applied “partial least squares structural equation modeling” PLS-SEM to analyze the data.FindingsA structural equation model indicates that perceived usefulness and ease of use significantly affect attitude and behavioral intention. Moreover, the outcomes show that perceived value and social influence significantly influence, while perceived risks and performance expectancy insignificantly affect behavioral intention. Further, the outcomes also confirm that attitude and behavioral intention substantially influence mobile banking adoption.Practical implicationsThe article provides insights for practitioners to improve and assess the quality of mobile banking services by using proposed antecedents that may increase the actual use of FinTech services, which serves as a valuable resource for stakeholders.Originality/valueThe new research model adds to the existing literature by offering empirical evidence of mobile banking adoption by considering three theories. Further, the study builds upon the S-O-R framework that incorporates FinTech attributes to explain the antecedents of the actual use of FinTech towards mobile banking adoption.
E-procurement acceptance in the Ghanaian public sector: an application of an extended technology acceptance model (TAM) in the construction industry
Authors: Addy Michael Nii , Addo Evans Teye , Abdulai Sulemana Fatoama , Kwofie Titus Ebenezer , Aigbavboa Clinton Ohis , Adade-Boateng Anita Odame 
Published: April 2024

Purpose
E-procurement has the advantage of improving the overall performance of construction project delivery. The purose of this study is to uncover the factors influencing e-procurement acceptance in the public sector of Ghana’s construction industry (GCI). Using an extended unified theory of acceptance and use of technology (UTAUT 2), variables that promote the acceptance of e-procurement in GCI were explored.

Design/methodology/approach
Data was collected using a mixed method strategy. In the first stage, a semi-structured interview was used to collect, assess and optimize the UTAUT2 model. Thematic analysis was used on the qualitative data, leading to modification of the proposed UTAUT2 model. The study subsequently used a questionnaire survey using the extended UTAUT2 model. Survey data was analyzed using structural equation modelling (SEM), leading to the identification and validation of factors that facilitate e-procurement acceptance in Ghanaian construction as well as the impact of these factors.

Findings
The findings of the study reveal that five independent constructs of the proposed UTAUT2 model significantly affects the behavioural intention of practitioners to accept and use e-procurement in the construction industry in Ghana.

Practical implications
The study will be of utility to government agencies, contracting organizations and other construction stakeholders in developing policy and programmes to support e-procurement acceptance within the sector.

Originality/value
This is a new extended UTAUT2 model that is applicable to technology acceptance within the public sector in sub-Saharan Africa.
Struggling financially but feeling good? Exploring the well-being of early-stage entrepreneurs
Authors: Lukeš Martin , Zouhar Jan 
Published: March 2024

Purpose
Many individuals start a new firm each year, mainly intending to become independent or improve their financial situation. For most of them, the first years of operations mean a substantial investment of time, effort and money with highly insecure outcomes. This study aims to explore how entrepreneurs running new firms perform financially compared with the established ones and how this situation influences their well-being.

Design/methodology/approach
A questionnaire survey was completed in 2021 and 2022 by a representative sample of N = 1136 solo self-employed and microentrepreneurs in the Czech Republic, with dependent self-employed excluded. This study used multiple regressions for data analysis.

Findings
Early-stage entrepreneurs are less satisfied with their financial situation, have lower disposable income and report more significant financial problems than their established counterparts. The situation is even worse for the subsample of startups. However, this study also finds they do not have lower well-being than established entrepreneurs. While a worse financial situation is generally negatively related to well-being, being a startup founder moderates this link. Startup founders can maintain a good level of well-being even in financial struggles.

Practical implications
The results suggest that policies should focus on reducing the costs related to start-up activities. Further, policy support should not be restricted to new technological firms. Startups from all fields should be eligible to receive support, provided that they meet the milestones of their development. For entrepreneurship education, this study‘s results support action-oriented approaches that help build entrepreneurs’ self-efficacy while making them aware of cognitive biases common in entrepreneurship. This study also underscores that effectuation or lean startup approaches help entrepreneurs develop their startups efficiently and not deprive themselves of resources because of their unjustified overconfidence.

Originality/value
This study contributes to a better understanding of the financial situation and well-being of founders of new firms and, specifically, startups. The personal financial situation of startup founders has been a largely underexplored issue. Compared with other entrepreneurs, this study finds that startup founders are, as individuals, in the worst financial situation. Their well-being remains, however, on a comparable level with that of other entrepreneurs.
Role of school leaders in cultivating professional learning communities and culture in Pakistani schools: an exploratory case study
Authors: Ansari Aisha Naz , Asad Muhammad Mujtaba 
Published: April 2024

PurposeThe purpose of this exploratory case study was to investigate the role of School Leaders (SLs) in building Professional Learning Communities (PLCs) in schools, as well as to expand a literature-driven PLC model within the Pakistani context.Design/methodology/approachThe study involved the purposive selection of two schools affiliated with a university. The sample comprised one school leader, one academic coordinator and five teachers from each school, altogether 14 participants. The participants shared similar demographic characteristics. Semi-structured interviews were conducted to collect data, which were analysed thematically.FindingsThe findings of the study revealed that both schools have created PLCs to some extent and that school goals and culture were contributing factors in building these communities. Additionally, the SLs played a key role in promoting PLCs by encouraging teacher collaboration. The study concludes that SLs have the potential to strategize their actions to foster positive professional relations among teachers and ensure their well-being.Research limitations/implicationsThe study contributes to the literature on professional communities in Pakistan by validating a literature-driven PLC model. The model emphasizes collaboration among teachers, which can be facilitated by SLs. As such, the study implicates SLs in prioritizing the professional development of teachers to enhance student learning and achieve school success.Originality/valueThis study is unique in expanding a literature-driven PLC model within the Pakistani context, with a focus on teacher collaboration as facilitated by SLs. The model has the potential for replication in other contexts and can serve as a useful tool for future research.
Employee recognition giving in crisis: a study of healthcare workers during the COVID-19 pandemic
Authors: Naidoo Loren J. , Scherbaum Charles A. , Saunderson Roy 
Published: March 2024

PurposeEmployee recognition systems are ubiquitous in organizations (WorldatWork, 2019) and have positive effects on work outcomes (e.g. Stajkovic and Luthans, 2001). However, psychologically meaningful recognition relies on the recognition giver being motivated to observe and recognize coworkers. Crises such as the COVID-19 pandemic may impact recognition giving in varying ways, yet little research considers this possibility.Design/methodology/approachThis longitudinal field study examined the impact of the COVID-19 crisis on recognition and acknowledgment giving among frontline and nonfrontline healthcare workers at daily and aggregated levels. We tested the relationships between publicly available daily indicators of COVID-19 and objectively measured daily recognition and acknowledgment giving within a web-based platform.FindingsWe found that the amount of daily recognition giving was no different during the crisis compared to the year before, but fewer employees gave recognition, and significantly more recognition was given on days when COVID-19 indicators were relatively high. In contrast, the amount of acknowledgment giving was significantly lower in frontline staff and significantly higher in nonfrontline staff during the pandemic than before, but on a daily-level, acknowledgment was unrelated to COVID-19 indicators.Practical implicationsOur results suggest that organizational crises may at once inhibit and stimulate employee recognition and acknowledgment.Originality/valueOur research is the first to empirically demonstrate that situational factors associated with a crisis can impact recognition giving behavior, and they do so in ways consistent with ostensibly contradictory theories.
A new planar capacitive sensor with high sensitivity for proximity sensing of an approaching conductor
Authors: Wang Meng , Li Yongheng , Shi Yanyan , Huang Fenglan 
Published: April 2024

Purpose
With the development of artificial intelligence, proximity sensors show their great potential in intelligent perception. This paper aims to propose a new planar capacitive sensor for the proximity sensing of a conductor.

Design/methodology/approach
Different from traditional structures, the proposed sensor is characterized by sawtooth-structured electrodes. A series of numerical simulations have been carried out to study the impact of different geometrical parameters such as the width of the main trunk, the width of the sawtooth and the number of sawtooths. In addition, the impact of the lateral offset of the approaching graphite block is investigated.

Findings
It is found that sensitivity is improved with the increase of the main trunk with, sawtooth width and sawtooth number while a larger lateral offset leads to a decrease in sensitivity. The performance of the proposed planar capacitive proximity sensor is also compared with two conventional planar capacitive sensors. The results show that the proposed planar capacitive sensor is obviously more sensitive than the two conventional planar capacitive sensors.

Originality/value
In this paper, a new planar capacitive sensor is proposed for the proximity sensing of a conductor. The results show that the capacitive sensor with the novel structure is obviously more sensitive than the traditional structures in the detection of the proximity conductor.
Reliability, validity, and sensitivity of the Japanese version of the University of California Los Angeles scleroderma clinical trial consortium gastrointestinal tract instrument: Application to efficacy assessment of intravenous immunoglobulin administration
Authors: Matsuda Kazuki M. , Sugimoto Eiki , Ako Yoshiaki , Kitamura Marie , Miyahara Mai , Kotani Hirohito , Norimatsu Yuta , Hisamoto Teruyoshi , Kuzumi Ai , Fukasawa Takemichi , Sato Shinichi , Yoshizaki Ayumi 
Published: April 2024

AbstractThis study aimed to develop and assess the reliability, validity, and sensitivity of the Japanese version of the University of California Los Angeles Scleroderma Clinical Trial Consortium gastrointestinal tract (GIT) Instrument 2.0 (the GIT score), as an evaluation tool for GIT symptoms in systemic sclerosis (SSc). The Japanese version of the GIT score was constructed using the forward‐backward method. The reliability and validity of this instrument were evaluated in a cohort of 38 SSc patients. Correlation analysis was conducted to assess the relationship between the GIT score and existing patient‐reported outcome measures. Additionally, the sensitivity of the GIT score was examined by comparing GIT scores before and after intravenous immunoglobulin (IVIG) administration in 10 SSc‐myositis overlap patients, as IVIG has recently demonstrated effectiveness in alleviating GIT symptoms of SSc. As a result, the Japanese version of the GIT score exhibited internal consistency and a significant association with the Frequency Scale for the Symptoms of Gastroesophageal Reflux Disease. Furthermore, the total GIT score, as well as the reflux and distention/bloating subscales, displayed moderate correlations with the EuroQol 5 dimensions (EQ‐5D) pain/discomfort subscale and the Short Form‐36 body pain subscale. Notably, following IVIG treatment, there was a statistically significant reduction in the total GIT score and multiple subscales. We first validated the Japanese version of the GIT score in Japanese SSc patients in real‐world clinical settings. This instrument holds promise for application in future clinical trials involving this patient population.