bluuebunny/crossref_metadata_2025_split huggingface dataset:
Does financial anxiety affect job insecurity? Exploring the relationship and moderation by gender, tenure and income in the Indian context during COVID-19
Authors: Bhowmik Priyanka , Padhi Mousumi , Pattnaik Subhra 
Published: January 2022

PurposeExtant literature indicates the influence of anxiety on job insecurity (JI). However, the effect of financial anxiety (FA) on JI has received lesser attention. Further, there is a dearth of literature on this relationship during a global crisis, such as COVID-19, and more so in the Indian context. This study attempts to empirically explore the relationship between FA and JI in presence of moderators, such as gender, tenure and individual annual income.Design/methodology/approachData were collected from 584 employees engaged in remote working in the information technology (IT) sector in India during the COVID-19 crisis. The data were analysed using SPSS 25 and AMOS 24. A hierarchical regression method was followed to test the hypothesis. In step 1, JI was regressed on FA in presence of control variables. In step 2, moderators, such as gender, tenure and individual annual income, were entered along with interaction terms.FindingsFindings revealed a significant positive relation between FA and JI. The moderating effects of gender, tenure and annual income on the relationship between FA and JI were significant and interesting.Originality/valueThe paper empirically studies the role of FA on JI of Indian IT employees during COVID- 19. It is a response to researchers' call to integrate the effect of different moderators on the relationship between FA and JI during a crisis that has direct impacts on both. The influence of moderators on JI was interesting in the reversal effects produced.
A multi-product and multi-period aggregate production plan: a case of automobile component manufacturing firm
Authors: Dohale Vishwas , Ambilkar Priya , Gunasekaran Angappa , Bilolikar Vijay 
Published: January 2022

PurposeThe study attempts to develop a multi-product multi-period (MPMP) aggregate production plan (APP) to fulfill the customers' demand in terms of throughput and lead time for achieving market competence.Design/methodology/approachThis research proposes an integrated Fuzzy analytical hierarchy process (FAHP), multi-objective linear programming (MOLP), and simulation approach. Initially, FAHP is used to select the essential objectives a firm desires to achieve. Adopting the MOLP, an APP is formulated for the firm under study. Later, the simulation model of a firm is created in a discrete-event simulation (DES) software Arena© to evaluate the applicability of the proposed APP. A comparative analysis of the manufacturing performance levels (namely throughput, lead time, and resource utilization) achieved through the implication of an existing production plan and proposed APP is conducted further.FindingsThe findings from the study depict that the proposed MOLP-based APP can satisfy the customers' requirement (namely throughput and lead time) and improve the level of resource utilization compared with the firm's existing production plan.Research limitations/implicationsThe proposed research facilitates researchers and practitioners to understand the process of developing MOLP-based MPMP APP and analyzing its applicability through simulation technique to be utilized for developing APP at their firm.Originality/valueAn integrated FAHP-MOLP-simulation framework is the novel contribution to the literature on production planning. It can be extended to solve strategic, tactical, and operational problems in different domains like service, healthcare, supply chain, logistics, and project management.
Groundwater simulation in Dak Lak province based on MODFLOW model and climate change scenarios
Authors: An Nguyen Ngoc , Nhut Huynh Song , Phuong Tran Anh , Huy Vu Quang , Hanh Nguyen Cao , Thao Giang Thi Phuong , Trinh Pham The , Hoa Pham Viet , Bình Nguyễn An 
Published: January 2022

PurposeGroundwater plays a critical part in both natural and human existence. When surface water is scarce in arid climates, groundwater becomes an immensely valuable resource. Dak Lak is an area that frequently lacks water resources for everyday living and production, and the scarcity of water resources is exacerbated during the dry season. As a result, it is critical to do study and understand about groundwater to meet the region's water demand. This study aims to extend the use of the MODFLOW model for groundwater simulation and assess the overall groundwater reserves and water demand in the highland province Dak Lak.Design/methodology/approachThe MODFLOW model is used in this work to compute and analyze the flow, prospective reserves of groundwater from which to plan extraction and estimate groundwater variation in the future.FindingsThe application of the MODFLOW model to Dak Lak province demonstrates that, despite limited data, particularly drilling hole data for subterranean water research, the model's calculation results have demonstrated its reliability and great potential for use in other similar places. The use of the model in conjunction with other data extraction modules is a useful input for creating underground flow module maps for various time periods. The large impact of recharge and evaporation on groundwater supplies and water balance in the research area is demonstrated by simulations of climate change scenarios RCP4.5 and RCP8.5.Originality/valueNone of the studies has been done previously to analyze water resources of Dak Lak and the scarcity of water resources is exacerbated during the dry season. Therefore, this study will provide useful insights in the water resource management and the conservation of Dak Lak. The groundwater in Dak Lak can meet the area's water demand, according to the results obtained and water balance in the study area. However, the management of water resources and rigorous monitoring of groundwater extraction activities in the area should receive more attention.
Financial stability aspects of monetary policy transmission in developing countries: empirical evidence from Kazakhstan
Authors: Ybrayev Zhandos 
Published: January 2022

Purpose
This study aims to determine whether the transmission of monetary policy to the real economy depends on the structural conditions of financial stability. In particular, the paper shows that the effects of shocks to financial stability on output and inflation is conditional on the state of credit in the economy, measured broadly as a credit-to-GDP.

Design/methodology/approach
The authors use a threshold vector autoregression model with Bayesian techniques to investigate the impact of private nonfinancial sector credit on the dynamic relationship between financial conditions, monetary policy transmission mechanism and macroeconomic performance in Kazakhstan from 2005:Q1 to 2020:Q1.

Findings
In the modeled threshold vector autoregression (VAR) specification, the authors document that when the credit-to-GDP gap is low or the credit is below its trend, an increase to the interest rate leads to a short-term economic expansion. However, when the credit-to-GDP gap is high or the nonfinancial credit is above its trend, a tightening in monetary policy leads to an economic contraction with domestic financial conditions being weaker compared to a low credit environment.

Originality/value
The outcome is consistent with the related literature, which argues that a more sustained increase in credit is followed by a sharper economic contraction, but only when the economy is in the high credit state. These results highlight that financial stability measures (e.g. credit state) is important to take into account when conducting monetary policy in emerging economies.
Co-teaching as an opportunity for mentor teacher professional growth
Authors: Karathanos-Aguilar Katya , Ervin-Kassab Lara 
Published: January 2022

PurposeA growing body of research has pointed to the potential benefits of a co-teaching clinical residency model in preservice education. Preservice co-teaching research has focused primarily on conditions necessary for effective co-teaching to occur, factors that inhibit successful co-teaching implementation, and teacher candidate development. Researchers have called for further exploration into potential benefits of preservice co-teaching models for the mentor teacher. In this study, the authors explored ways in which mentor teachers who participated in a co-teaching pre-service program experienced professional growth.Design/methodology/approachIn order to gain insights into the perspectives of mentor teachers and ways in which they experienced professional growth through their experiences in the co-teaching program, the authors used a qualitative, descriptive approach. The authors’ primary data source included interviews conducted with 42 mentor teachers from five content-areas. Researcher communication and interactions with co-teachers over time, along with artifacts including field notes, co-teacher reflections on practice, and program documents, served as peripheral data sources.FindingsResults indicated that co-teachers experienced meaningful professional growth in areas represented by the following themes: (1) critical reflection, (2) pedagogical renewal, (3) in situ feedback and refining practice and (4) application of learning to leadership roles.Originality/valueThis study, which is one of only a few studies focusing explicitly on mentor co-teacher professional growth, provided new insights into learning opportunities afforded to mentor teachers through a participation in a blended model of co-teaching and communities of practice.
Lean, sustainability and the triple bottom line performance: a systems perspective-based empirical examination
Authors: Wadood Syeda Ayesha , Sadiq Jajja Muhammad Shakeel , Chatha Kamran Ali , Farooq Sami 
Published: January 2022

PurposeThis study draws on the systems perspective to study the individual and combined interaction effect of lean management (LM) and sustainability management (SM) on the organization's triple bottom line (TBL) performance.Design/methodology/approachThe study employs structural equation modeling to test the proposed hypotheses using data from the sixth version of the International Manufacturing Strategy Survey (IMSS VI).FindingsThe study finds that LM is positively related to all dimensions of the TBL performance. In contrast, SM is positively related to social and environmental performance and negatively related to economic performance. Finally, by finding that the interaction between LM and (SM) is positive for social and environmental performance, this study not only confirms that LM is an enabler for sustainability, but it also supports that the two paradigms are mutually compatible and reinforcing.Practical implicationsThe findings imply that practitioners pursuing both LM and SM should leverage their mutual positive effects and balance the unintended effects of implementing isolated bundles by implementing them together as a complete socio-technical system. Their combined impact on the TBL performance will outweigh the sum of their individual effects in the case of isolated implementations.Originality/valueIn contrast with the extant literature, this study proposes that LM and SM make parts of one system as opposed to one correlated with the other or having a positive causal effect on the other. Taking an integrated systems approach, the study empirically verifies the “mutual compatibility” of the lean and sustainability paradigms argument, with regard to their effect on the TBL performance.
Factors affecting future travel intentions: awareness, image, past visitation and risk perception
Authors: Carvalho Maria Amélia Machado 
Published: January 2022

Purpose
This study aims to examine the influence of destination awareness, cognitive and affective image, risk perception and past visitation on the intention to visit a tourist destination (a medium-sized city) in the next 12 months.

Design/methodology/approach
Partial least squares structural equation modeling was adopted to examine the data collected from 714 domestic holidaymakers.

Findings
Results demonstrate that awareness, cognitive and affective image, past visitation, perceived risk of traveling and perceived risk in international versus domestic travel are key factors; safety concerns enhance the cognitive image and perceived safety of the destination, but increase the perceived risk of traveling; and perceived social risk increases the perceived risk of traveling.

Research limitations/implications
Data collection from only one country limits the generalizability of the conclusions.

Practical implications
Conclusions allow gaining new insights regarding communication strategies in general, during and post-pandemic times.

Originality/value
Using a consolidated and empirical approach, this study provides a better understanding of the role of perceived risk and its effects on cognitive and affective image and travel intention. For instance, to the best of the author’s knowledge, it is the first study to consider the effects of social risk in the pandemic context. It also offers insights into the mediating effect of destination image and the moderating effects of perceived risk and past visitation.
Losing compassion for patients? The implications of COVID-19 on compassion fatigue and event-related post-traumatic stress disorder in nurses
Authors: Hochwarter Wayne , Jordan Samantha , Kiewitz Christian , Liborius Patrick , Lampaki Antonia , Franczak Jennifer , Deng Yufan , Babalola Mayowa T. , Khan Abdul Karim 
Published: January 2022

PurposeThe authors investigated a psychological process that links characteristics of events related to the coronavirus disease (2019) COVID-19 pandemic (i.e. perceived novelty, disruptiveness and criticality) to compassion fatigue [(CF), a form of caregiver burnout] and subsequent post-traumatic stress disorder (PTSD) in nurses.Design/methodology/approachAdministering two online surveys (October and November 2020) resulted in matched data from 175 nurses responsible for patient care during the COVID-19 pandemic.FindingsPerceived disruptiveness and criticality of COVID-19 events were positively associated with nurses' CF, which also mediated those characteristics' effects on PTSD instigated by COVID-19. Contrary to the authors' hypothesis, the perceived novelty of COVID-19 events was not significantly associated with CF nor was the indirect effect of perceived novelty on PTSD mediated by CF.Originality/valueThe authors extend event system theory by investigating the psychological processes linking event features and resultant outcomes while providing practical implications on preparations for future unexpected and potentially life-altering events.
Decision-maker's overconfidence and international performance: the role of the adoption of intuitive practices
Authors: Musso Fabio , Francioni Barbara , Curina Ilaria , Tramontana Fabio , Polidori Paolo , Pediconi Maria Gabriella 
Published: January 2022

PurposeThe paper analyses the influence of the decision-makers' overconfidence on the intuitive practices' adoption, as well as on the international performance during international strategic decision-making processes (SDMPs) of small- and medium-sized enterprises (SMEs). Moreover, the study investigates the possible mediating effect of intuition on the relationship between overconfidence and international performance.Design/methodology/approachA semi-structured questionnaire based on a sample of 160 SMEs and a regression analysis have been employed.FindingsResults show a negative relationship between intuition and international performance and a positive one between overconfidence and international performance. Furthermore, a negative relation between overconfidence and intuition has been identified. Findings also highlight the mediating role of intuition in the relationship between overconfidence and international performance.Practical implicationsThe paper provides valuable implications related to the analysis of overconfidence as a critical decision-maker's character and intuition as a feature of the decision-making methodology. Moreover, the study offers indications for SMEs facing complex strategic decisions.Originality/valueThe paper adopts an original perspective by combining the SDMP analysis with that of international strategy within the SMEs context. Additionally, the study enriches the existing literature by (1) investigating overconfidence in the decision-making; (2) enhancing the examination of overconfidence and intuitive practices in the international SDMP; (3) deepening the research field focused on the identification of the intuitive processes' predictors that is still in its infancy.
Collective reputation cognition, network competence and enterprise innovation performance
Authors: Yu Chao , Wang Tao , Gu Xin 
Published: January 2022

PurposeCollective reputation cognition is an enterprise's perception of the general rules of reputation evaluation, jointly formed by a network's collective members. It affects the choice of enterprises' innovation behavior and guides enterprises to occupy a dominant position in the innovation network, thus achieving high innovation performance. In this process, it is inseparable from the enterprise's good network competence. This study attempts to bring collective reputation cognition, network competence and innovation performance into the same framework and aims to explore the relationship among them and determine the influential roles of collective reputation perception and network capability on innovation performance.Design/methodology/approachThis study uses 227 Chinese enterprises in the innovation network as samples and applies partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to explore the questions mentioned above.FindingsThe results verify the relationship among collective reputation cognition, network competence and innovation performance. Furthermore, the results yield five paths that lead to high innovation performance, such as “putting ability first” and “both fame and competence”, which are different combinations of collective reputation cognition and network competence.Originality/valueBased on institutional theory, this study considers the network context and identifies “collective reputation cognition” as a key variable. Meanwhile, it opens the “black box” of the mechanism of reputation's influence on innovation performance and finds that the combined paths of collective reputation cognition and network competence achieve high performance in terms of innovation.
The association of body mass index and dietary fat intake with autism in children: a case-control study
Authors: Gholamalizadeh Maryam , Mirsadeghi Narjes Ashouri , Rastgoo Samira , Abbas Torki Saheb , Bourbour Fatemeh , Kalantari Naser , Shafaei Hanieh , Teymoori Zohreh , Alizadeh Atiyeh , Mosavi Jarrahi Alireza , Doaei Saeid 
Published: January 2022

Purpose
Deficiencies or imbalances in dietary fat intake may influence on mental and neurological functions of children with autism spectrum disorders (ASD). This study aims to compare body mass index (BMI) and the amount of fatty acids intake in the autistic patients with the comparison group.

Design/methodology/approach
This case-control was carried out on 200 randomly selected children from 5 to 15 years old (100 autistic patients as the case group and 100 healthy children as the comparison group) in Tehran, Iran. The food frequency questionnaire (FFQ) was used to assess the intake of calorie, macronutrients and different types of dietary fatty acids including saturated fatty acids (SFA), monounsaturated fatty acids (MUFAs), poly unsaturated fatty acids (PUFAs), linoleic acid (LA), α-Linolenic acid (ALA), eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA) and trans fatty acids.

Findings
The autistic patients had higher BMI, birth weight and mother’s BMI compared to the comparison group (All p < 0.01). No significant difference was found in the amount of dietary calorie, protein, carbohydrate and total fat intake between two groups. The risk of ASD was associated with higher intake of MUFAs (OR: 3.18, CI%:1.13–4.56, p = 0.04), PUFAs (OR: 4.12, CI95%: 2.01–6.25, p < 0.01) and LA (OR: 4.76, CI95%: 1.34–14.32, p < 0.01).

Originality/value
The autistic children had higher BMI and higher intake of unsaturated fatty acids except for omega-3 fatty acids. Further longitudinal studies are warranted.
Nestedness interacts with subnetwork structures and interconnection patterns to affect community dynamics in ecological multilayer networks
Authors: Yan Chuan 
Published: January 2022

Abstract

Ecological networks describe ecological interactions among species in ecosystems. In natural ecosystems, plant–mutualist (PM) and plant–herbivore (PH) networks are two of the most documented bipartite ecological networks, which are often interconnected through shared plants to form multilayer networks (here referred to as ecological networks with multiple interaction types). Recent developments in multilayer networks have challenged the effects of topological properties on biodiversity and stability once found in ecological networks with a single interaction type.

In this study, my goal was to theoretically test the effects of the nested topology of subnetworks (i.e. plant–mutualist and plant–herbivore networks) on the local stability and persistence of the entire community and determine how their effect sizes were dependent on subnetwork structures and interconnection patterns.

I used a simple algorithm to construct plant–mutualist or plant–herbivore networks with different levels of nestedness while fixing connectance and network size. By artificially interconnecting plant–mutualist and plant–herbivore networks through shared plants, I also manipulated the inter‐subnetwork connection patterns as positive, negative and no correlations between the number of interacting partners of shared plants of two subnetworks. Community dynamics were simulated to show how subnetwork nestedness interacted with other network properties to affect local stability and persistence of multilayer networks.

I found that low nestedness of both plant–mutualist and plant–herbivore subnetworks promoted stability and persistence. Effect sizes of the focal PM‐ or PH‐subnetwork nestedness were positively associated with the nestedness levels of the interconnected subnetworks. A positive correlation between the mutualistic and herbivory generalism of plants also led to higher (signed) effect sizes of subnetwork nestedness. Further analyses showed that the effect sizes of the subnetwork nestedness also depended on subnetwork complexity and intraguild competition intensity. Finally, the modularity of interconnected subnetworks had little association with the effect sizes of subnetwork nestedness irrespective of interconnection patterns.

The results demonstrate that the effects of topological structures (such as nestedness) on community dynamics in single‐interaction networks may be altered by the architectures of multilayer networks, which highlights the need to study the interactions between the architectures of within‐ and inter‐subnetworks in affecting ecosystem stability and biodiversity.