bluuebunny/crossref_metadata_2025_split huggingface dataset:
Employee’s narrative on quiet quitting – a qualitative analysis
Authors: Nimmi P.M. , Syed Femina , Manjaly Neenet Baby , Harsha G. 
Published: August 2024

PurposeQuiet quitting (QQ) has been around in academic and professional discussions for quite some time. Despite many definitions and reasons for QQ being proposed, no study has systematically undertaken exploratory research on the reasons and behavioral manifestations of employees who QQ.Design/methodology/approachOur study adopted an exploratory qualitative approach to understand the reasons for QQ without any prior judgment. We undertook interviews with 21 employees who have undergone QQ in their careers.FindingsThe qualitative inquiry brought out the reasons behind QQ. The three major reasons for QQ were identified by thematic analysis: personal, organizational politics and people dynamics. Further, overt and covert behaviors that employees undertake while QQ were framed with this study. Findings are discussed in the framework of existence, relatedness and growth (ERG) theory.Research limitations/implicationsThe theoretical implications include understanding QQ within the purview of ERG theory and the frustrated regression model. Practically, measures to be taken by organizations to mitigate the instances are presented, along with employee suggestions on what measures need to be taken to avoid QQ behaviors of employees.Originality/valueThis study is a pioneering work on the exploratory understanding of QQ. Empirically validated theory formulation of QQ is developed here for the first time.
Heat transfer and entropy generation in viscous-joule heating MHD microchannels flow under asymmetric heating
Authors: Tahiri Antar , Ragueb Haroun , Moussaoui Mustafa , Mansouri Kacem , Guerraiche Djemaa , Guerraiche Khelifa 
Published: August 2024

Purpose
This paper aims to present a numerical investigation into heat transfer and entropy generation resulting from magnetohydrodynamic laminar flow through a microchannel under asymmetric boundary conditions. Furthermore, the authors consider the effects of viscous dissipation and Joule heating.

Design/methodology/approach
The finite difference method is used to obtain the numerical solution. Simulations are conducted across a broad range of Hartmann (Ha = 0 ∼ 40) and Brinkman (Br = 0.01 ∼ 1) numbers, along with various asymmetric isothermal boundaries characterized by a heating ratio denoted as ϕ.

Findings
The findings indicate a significant increase in the Nusselt number with increasing Hartmann number, regardless of whether Br equals zero or not. In addition, it is demonstrated that temperature differences between the microchannel walls can lead to substantial distortions in fluid temperature distribution and heat transfer. The results reveal that the maximum entropy generation occurs at the highest values of Ha and η (a dimensionless parameter emerging from the formulation) obtained for ϕ = −1. Moreover, it is observed that local entropy generation rates are highest near the channel wall at the entrance region.

Originality/value
The study provides valuable insights into the complex interactions between magnetic fields, viscous dissipation and Joule heating in microchannel flows, particularly under asymmetric heating conditions. This contributes to a better understanding of heat transfer and entropy generation in advanced microfluidic systems, which is essential for optimizing their design and performance.
Migration fears and housing affordability in France, Germany, the UK and the USA and the mediating role of interest rate
Authors: Salisu Afees Adebare , Olaniran Abeeb Olatunde , Vo Xuan Vinh 
Published: August 2024

Purpose
This study aims to contribute to the literature on migration by examining the nexus between migration-related fears and housing affordability in France, Germany, the UK and the USA using new datasets for migration-related fears.

Design/methodology/approach
This study adopts the feasible quasi-generalized least squares approach wherein a predictor can be isolated in the estimation process. Thus, rather than specifying a multi-predictor model that may also lead to parameter proliferation, a single-predictor model (for the predictor of interest) is formulated while also accounting for other salient features resulting from suppressing other important factors that may not be of interest to the current study. Such salient features include persistence, endogeneity and conditional heteroscedasticity issues.

Findings
Overall, the results show heterogeneous responses of housing affordability to migration fears across the four developed countries, as the latter deteriorates housing affordability in Germany and the USA and improves it in France and the UK. Similarly, the GFC makes housing less affordable in all four countries as low interest rate passes the mediation test in the nexus. The results, especially for low interest rates, are robust to different uncertainty measures.

Research limitations/implications
As is often the case with economic phenomena, no single model can capture all the factors influencing an economic variable. Thus, besides examining the nexus between migration fears and housing affordability, the authors also account for the role of GDP per capita, given the influence of population and income dynamics on housing affordability. However, incorporating GDP per capita alone does not substantially enhance the model’s ability to predict housing affordability. Future research should explore additional macroeconomic and social factors, such as human capital development, to further enhance this subject.

Practical implications
The findings have significant implications for policymakers regarding the use of low interest rates to counteract the adverse effects of migration-related fear on housing affordability. Specifically, to mitigate the potential negative impact of migration and the associated fear on housing affordability, monetary authorities could adopt a more accommodative stance on mortgages. By allowing real estate investors to obtain loans at lower rates, this approach would help increase housing supply and reduce the housing gap exacerbated by migration influx.

Originality/value
The values of this study lie in its examination of housing affordability in relation to migration fears from both the demand and supply sides of the market. Furthermore, the analyses are conducted to cover out-of-sample forecast evaluation as in-sample predictability may not guarantee out-of-sample prediction.
Lean six sigma for health care: multiple case studies in Latin America
Authors: Buestan Marcos , Perez Cinthia C. , Rodríguez-Zurita Denise 
Published: August 2024

Purpose
Health-care organisations face many challenges in delivering safe, high-quality services while experiencing significant pressure to increase productivity and reduce costs. In this context, hospitals have implemented lean six sigma (LSS) programmes to improve their performance. This study aims to explore the application of LSS in three different non-profit Ecuadorian hospitals to comprehend the effectiveness of the methodology under this context.

Design/methodology/approach
A multiple-case analysis was performed in four phases: selecting the cases, defining a data collection protocol, performing a within-case analysis of each case and performing a cross-case analysis.

Findings
This research found that the LSS application positively impacts hospital performance indicators by reducing service time. The most frequently used tools include the supplier input process output customer diagram, value stream mapping, cause-and-effect diagram, five-why analysis, Gemba walk and paired two-sample test. Lastly, the results show that the most common challenges faced were lack of top management engagement, technical training and data availability.

Research limitations/implications
The study is limited by the constraint of a single Latin American country from which the cases were analysed. Collaboration with external partners, like universities, and government policies promoting training in continuous improvement methodologies are crucial for success. Academic implications stress the importance of integrating soft skills in LSS implementation and engineering education.

Originality/value
This study shows a multiple-case analysis of LSS in a Latin American country highlighting the most commonly used tools, their impact on performance and the challenges of implementing LSS in health-care organisations in non-profit Ecuadorian hospitals.
Analysis of the factors determining educational mismatches: evidence from the Catalonian employment insertion surveys
Authors: Cortadas-Guasch Pau 
Published: August 2024

PurposeThe existence of mismatches between training and jobs is relatively common and is accentuated in times of crisis where unemployment is growing. The negative effects that this phenomenon can generate on both workers and the economy makes its study relevant. The objective of this research is to analyse whether graduates of the Catalan university system have jobs according to their educational level.Design/methodology/approachThis paper sees how graduates’ own and acquired characteristics influence the probability of a mismatch from the analysis of the microdata of different waves of the employment insertion survey conducted by the Agència per a la Qualitat del Sistema Universitari de Catalunya (AQU).FindingsThe main conclusions focus on confirming that more humanities-oriented degrees tend to have a higher level of mismatch while technology or medicine approach a perfect fit. Therefore, bringing the education and business systems together is important to reduce this gap. Meanwhile, in terms of activities, services such as hospitality and retail have historically been sectors with a poor fit, and what has happened with Catalan graduates has not been an exception.Originality/valueThe main contribution of the research has been to highlight where there is a greater mismatch from the point of view of training, the type of work and its evolution over time, detecting the need to adjust labour supply and demand.
Does eco-innovation lead to company growth?
Authors: Altuzarra Artola Amaia 
Published: August 2024

PurposeThis study presents new empirical evidence to the relatively scarce number of research papers on the correlation between eco-innovation and company growth. It sheds light on the causal relationship between these two variables.Design/methodology/approachData from the Spanish Technological Innovation Panel from 2008 to 2016. Propensity Score Matching is applied to avoid self-selection problems.FindingsThe study found that engaging eco-innovation has no statistically significant impact on employment and sales growth. Therefore, the main benefits of transitioning to green innovations are in the environmental aspect.Practical implicationsThe research findings provide a clear direction for policymakers. Such directions suggest the design of instruments that make the adoption of eco-innovations mandatory with the firm promise of substantial environmental benefits.Originality/valueThe paper explores an important issue for environmental policy. If being an eco-innovator is positively or at least neutrally related to growth, policymakers could create measures that encourage this type of green innovation. This would benefit the environment, and if the impact is positive, it would also have a positive social effect.
Challenges and opportunities in the digitalization of the B2B customer journey
Authors: Andersson Svante , Aagerup Ulf , Svensson Lisa , Eriksson Sanna 
Published: August 2024

Purpose
This study aims to explore challenges and opportunities in the digitalization of the business-to-business (B2B) customer journey in different buying situations. It also investigates where in the customer journey digital marketing is most efficient.

Design/methodology/approach
This research adopts a single case study approach to examine a B2B company that implemented digitalization in its customer journey in different buying situations. Data were collected through semistructured interviews, complemented by internal documents and information from the company’s website and social media, to identify reasons for and against the decision to digitalize the B2B customer journey.

Findings
Digitalization can offer firms a cost-effective and value-creating way to interact with customers in a B2B context. The B2B buying situation, however, plays a significant role in decisions on how to implement digitalization. Moreover, in the prepurchase phase, digital marketing is more effective in building awareness; in the purchase phase, personal selling is more effective in addressing customers’ needs.

Research limitations/implications
The use of a single case study cannot produce results directly generalizable to other contexts. However, the findings are applicable to the digitalization of B2B customer journeys in similar industrial contexts.

Practical implications
To successfully implement digitalization in the customer journey, B2B firms should choose digital tools according to different buying situations and phases in the customer journey, segment buyers by their needs rather than individual characteristics and integrate the sales and marketing functions.

Originality/value
This study contradicts prior research that claims that digital marketing can be used in a similar way in both B2B and business-to-consumer contexts. It further shows that the relevant demarcation is not between personal sales and digitalization but between automated digital marketing and individualized personal sales, regardless of medium.
Enhancing financial inclusion in India: the impact of socioeconomic and macroeconomic factors
Authors: Khan Imran , Sahu Mrutuyanjaya 
Published: August 2024

Purpose
This paper aims to empirically examine the influence of macroeconomic and socioeconomic factors on improving financial inclusion in India, with a specific focus on two distinct indicators of financial inclusion.

Design/methodology/approach
This study has used a time-series data set covering the years 1996 to 2022, using a nonlinear autoregressive distributed lag methodology. This approach allows for the examination of both short- and long-run effects of key macroeconomic and socio-economic indicators, including GDP per capita growth, remittance inflows and the income share held by the lowest 20% of the population on the growth of two financial inclusion indicators: the number of commercial bank branches and ATMs per 100,000 adults.

Findings
Model-1 investigates how commercial bank branch growth affects financial inclusion. Positive remittance inflow growth and a rise in the income share of the bottom 20% both lead to increased financial inclusion in both the short and long term, with the effects being more pronounced in the long run. Conversely, negative effects of remittance inflow growth and a decline in GDP per capita growth lead to reduced financial inclusion, primarily affecting the long run. Focusing on ATM growth, Model-2 reveals that positive remittance inflow growth has the strongest impact on financial inclusion in the short term. While income share growth for the bottom 20% and GDP growth also positively influence financial inclusion, their effects become significant only in the long run. Conversely, a decline in GDP per capita growth hinders financial inclusion, primarily affecting the short run.

Originality/value
This study fills a gap in research on macroeconomic and socioeconomic factors influencing financial inclusion in India by examining the impact of GDP per capita growth, remittance inflows and the income share held by the lowest 20% of the population, an area relatively unexplored in the Indian context. Second, the study provides comprehensive distinct results for different financial inclusion indicators, offering valuable insights for policymakers. These findings are particularly relevant for policymakers working toward Sustainable Development Goal 8.10.1, as they can use the results to tailor policies that align with SDG objectives. Additionally, policymakers in other developing nations can benefit from this study’s findings to enhance financial inclusion in their respective countries.
In search of superior performance: knowledge management and learning capability of entrepreneurial firms
Authors: Appietu-Ankrah Kwaku , Agyapong Ahmed , Mensah Henry Kofi , Asiedu-Appiah Felicity 
Published: August 2024

PurposeThis study underscores the critical importance of knowledge management (KM) in the context of small and medium entrepreneurial firms (SMEFs) that aim to leverage their organisational learning capability (OLC) to enhance their product innovation performance (PIP). Drawing on the foundations of resource-based and contingency theories, this study delves into the impact of OLC on SMEFs' PIP through the intermediary role of KM, focussing on an emerging economy perspective. Additionally, this investigation explores how market dynamism (MDY) moderates the indirect connection between OLC and PIP via KM.Design/methodology/approachThe study involved 262 SMEFs in Ghana, with data analysis conducted using PROCESS macros in SPSS 23.0 and LISREL 8.50.FindingsThis study's findings underscore the mediating role of KM in shaping the relationship between OLC and PIP. Furthermore, they reveal that, particularly in high MDY environments, the link between KM and PIP through KM is significantly strengthened.Practical implicationsThe study clarifies that responding to MDY's demands is a complementary managerial capability enabling firms to channel their KM activities to improve PIP. Effectively, understanding the relationship between MDY and KM could substantially influence the policies and strategies managers adopt to improve PIP for organisational growth and survival.Originality/valueThis study extends the OLC–PIP research and contributes to the growing literature by offering a strong account of how OLC influences PIP and the prevailing boundary conditions that impact the KM-PIP relationship.
A systematic literature review on the integration of Industry 4.0 technologies in sustainability improvement of transportation construction projects: state-of-the-art and future directions
Authors: Abbasnejad Behzad , Soltani Sahar , Karamoozian Amirhossein , Gu Ning 
Published: August 2024

PurposeThis systematic literature review aims to investigate the application and integration of Industry 4.0 (I4.0) technologies in transportation infrastructure construction projects focusing on sustainability pillars.Design/methodology/approachThe study employs a systematic literature review approach, combining qualitative review and quantitative analysis of 142 academic articles published between 2011 and March 2023.FindingsThe findings reveal the dominance of Building Information Modelling (BIM) as a central tool for sustainability assessment, while other technologies such as blockchain and autonomous robotics have received limited attention. The adoption of I4.0 technologies, including Internet of Things (IoT) sensors, Augmented Reality (AR), and Big Data, has been prevalent for data-driven analyses, while Unmanned Aerial Vehicle (UAVs) and 3D printing are mainly being integrated either with BIM or in synergy with Artificial Intelligence (AI). We pinpoint critical challenges including high adoption costs, technical barriers, lack of interoperability, and the absence of standardized sustainability benchmarks.Originality/valueThis research distinguishes itself by not only mapping the current integration of I4.0 technologies but also by advocating for standardization and a synergistic human-technology collaborative approach. It offers tailored strategic pathways for diverse types of transportation infrastructure and different project phases, aiming to significantly enhance operational efficiency and sustainability. The study sets a new agenda for leveraging cutting-edge technologies to meet ambitious future sustainability and efficiency goals, making a compelling case for rethinking how these technologies are applied in the construction sector.
Management of geoheritage conservation and vulnerability in tourism destinations
Authors: Ferdowsi Sajad 
Published: August 2024

Purpose
Due to the nonrenewable nature of most geoheritage sites, restoration and reconstruction can be extremely difficult or even impossible. The purpose of this study is to create a model for the management of geoheritage conservation and vulnerability.

Design/methodology/approach
To develop the initial research model, two steps were taken. First, a systematic review of previous literature was conducted. Second, experts were asked to provide their input through semistructured and structured questionnaires. The statistical population of the research included experts and researchers in geoheritage. To analyze the data, the methods of meta-synthesis, thematic analysis and contextual analysis panels were used.

Findings
Based on research findings, a model for the management of geoheritage conservation and vulnerability has been developed. This model focuses on two key variables vulnerability and intervention, and it is based on three approaches: value-led conservation, preventive conservation and value-led management. The vulnerability variable has two dimensions: antecedents and drivers, while the intervention variable includes a management process with six dimensions: transparency, inclusion, institutionalization, communication, implementation and efficiency.

Originality/value
The management model for geoheritage conservation and vulnerability suggests that if the level of vulnerability of geological values can be controlled or reduced through management interventions, it is possible to achieve geoheritage conservation in three levels: physical, functional and visual.
Conservation triage in action: Planning, governance and knowledge co‐production for biodiversity protection
Authors: Martínez‐Harms Maria José , Estévez Rodrigo A. , Álvarez‐Miranda Eduardo 
Published: August 2024

Abstract

Conservation triage is an evolving strategy designed to allocate limited resources to address pressures that require urgent actions due to their consequences on biodiversity and essential ecosystem services for human well‐being.

This perspective proposes a structured, ethical and inclusive conservation triage‐based framework for efficiently addressing socio‐ecological requirements in biodiversity conservation, leveraging limited resources. Based on three main pillars—conservation planning, policy and governance and co‐production of knowledge—our goal is to promote conservation triage as a pragmatic and comprehensive approach.

We explore the application of conservation triage principles in Chile, following the recent establishment of the Conservation and Human Well‐being programme, a science‐based initiative promoting the conservation of Chile's unique biodiversity and informing the development of conservation policies.

Synthesis and applications. This perspective offers guidance to scientists and practitioners on how to prioritize conservation efforts while taking resource constraints into account when navigating conservation triage. It emphasizes how crucial it is to integrate ethical issues, fostering a decision‐making process enriched by diverse perspectives and collaborative knowledge co‐production. Through the alignment of strategic resource allocation with socio‐ecological aspects, this approach offers insights for developing equitable and well‐balanced conservation outcomes that are transferable to other geographical and environmental settings.