bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of living wall systems’ variables on the energy consumption of buildings
Authors: Yanardag Erdener Hatice Merve , Edis Ecem 
Published: March 2024

PurposeLiving walls (LWs), vegetated walls with an integrated growth layer behind, are being increasingly incorporated in buildings. Examining plant characteristics’ comparative impacts on LWs’ energy efficiency-related thermal behavior was aimed, considering that studies on their relative effects are limited. LWs of varying leaf albedo, leaf transmittance and leaf area index (LAI) were studied for Antalya, Turkey for typical days of four seasons.Design/methodology/approachDynamic simulations run by Envi-met were used to assess the plant characteristics’ influence on seasonal and orientation-based heat fluxes. After model calibration, a sensitivity analysis was conducted through 112 simulations. The minimum, mean and maximum values were investigated for each plant characteristic. Energy need (regardless of orientation), temperature and heat flux results were compared among different scenarios, including a building without LW, to evaluate energy efficiency and variables’ impacts.FindingsLWs reduced annual energy consumption in Antalya, despite increasing energy needs in winter. South and west facades were particularly advantageous for energy efficiency. The impacts of leaf albedo and transmittance were more significant (44–46%) than LAI (10%) in determining LWs’ effectiveness. The changes in plant characteristics changed the energy needs up to ca 1%.Research limitations/implicationsThis study can potentially contribute to generating guiding principles for architects considering LW use in their designs in hot-humid climates.Originality/valueThe plant characteristics’ relative impacts on energy efficiency, which cannot be easily determined by experimental studies, were examined using parametric simulation results regarding three plant characteristics.
A novel time-varying grey Fourier model for variable amplitude seasonal fluctuation sequences
Authors: Liu Xiaomei , Ma Bin , Gao Meina , Chen Lin 
Published: March 2024

PurposeA time-varying grey Fourier model (TVGFM(1,1,N)) is proposed for the simulation of variable amplitude seasonal fluctuation time series, as the performance of traditional grey models can't catch the time-varying trend well.Design/methodology/approachThe proposed model couples Fourier series and linear time-varying terms as the grey action, to describe the characteristics of variable amplitude and seasonality. The truncated Fourier order N is preselected from the alternative order set by Nyquist-Shannon sampling theorem and the principle of simplicity, then the optimal Fourier order is determined by hold-out method to improve the robustness of the proposed model. Initial value correction and the multiple transformation are also studied to improve the precision.FindingsThe new model has a broader applicability range as a result of the new grey action, attaining higher fitting and forecasting accuracy. The numerical experiment of a generated monthly time series indicates the proposed model can accurately fit the variable amplitude seasonal sequence, in which the mean absolute percentage error (MAPE) is only 0.01%, and the complex simulations based on Monte-Carlo method testify the validity of the proposed model. The results of monthly electricity consumption in China's primary industry, demonstrate the proposed model catches the time-varying trend and has good performances, where MAPEF and MAPET are below 5%. Moreover, the proposed TVGFM(1,1,N) model is superior to the benchmark models, grey polynomial model (GMP(1,1,N)), grey Fourier model (GFM(1,1,N)), seasonal grey model (SGM(1,1)), seasonal ARIMA model seasonal autoregressive integrated moving average model (SARIMA) and support vector regression (SVR).Originality/valueThe parameter estimates and forecasting of the new proposed TVGFM are studied, and the good fitting and forecasting accuracy of time-varying amplitude seasonal fluctuation series are testified by numerical simulations and a case study.
Religion, personality traits and the nature of entrepreneurial activities: insights from Scottish Muslim entrepreneurs
Authors: Rahman Md Zillur , Ullah Farid , Thompson Piers 
Published: March 2024

PurposePrevious studies have shown how the nature of businesses and the strategies pursued by their owners are affected by the personality traits of their owners. These personality traits can be formed in the early stages of life due to experiences and the surrounding context, where religion is a particularly important aspect of this context. This study aims to explore how religion affects entrepreneurial activities through the personality traits created.Design/methodology/approachThis study uses interviews with 43 Muslim entrepreneurs in Scotland to examine the role played by religion. This ensures that the national institutional context is kept consistent but also allows an in-depth examination of relationships, which are likely to be interlinked and recursive.FindingsThe traits created influence the nature of the entrepreneurial activities undertaken with the potential to harm and support the entrepreneurial endeavours. It is the combination of personality traits that are formed which have the greatest effect. As such, it is found that Muslim entrepreneurs display less openness and creativity associated with new ideas, but this does not reflect risk aversion rather hard work in itself is valued, and patience combined with an external locus of control mean entrepreneurial behaviours are not altered to boost poorly performing business activities.Originality/valueFor Muslim entrepreneurs in Scotland, their traits explain why growth may not be a foremost consideration of these entrepreneurs rather they may value hard work and meeting the ideals of formal and informal institutions associated with religion. For those seeking to support minority groups through the promotion of entrepreneurship, either they must seek to overcome these ingrained traits or alter support to complement the different objectives held by Muslim entrepreneurs.
Exploring the impact of family and organisational values on competence diversity reluctance in rural family SMEs
Authors: Sabel Kristin , Kallmuenzer Andreas , Von Friedrichs Yvonne 
Published: March 2024

PurposeThis paper aims to examine how organisational values affect diversity in terms of different competencies in rural family Small and Medium-sized Enterprises (SMEs). Recruiting a diverse workforce in rural family SMEs can be particularly difficult due to the prevalence of internal family values and the lack of available local specialised competencies. A deficiency of diversity in employment and competence acquisition and development can create problems, as it often prevents rural family SMEs from recruiting employees with a wide variety of qualifications and skills.Design/methodology/approachThe study takes on a multi-case method of Swedish rural family SMEs, applying a qualitative content analysis approach. In total, 20 in-depth structured interviews are conducted with rural family SME owners and 2 industries were investigated and compared – the tourism and the manufacturing industries.FindingsRural family SMEs lack long-term employment strategies, and competence diversity does not appear to be a priority for rural family SMEs, as they often have prematurely decided who they will hire rather than what competencies are needed for their long-term business development. It is more important to keep the team of employees tight and the family spirit present than to include competence diversity and mixed qualifications in the employment acquisition and development.Originality/valueContrary to prior research, our findings indicate that rural family SMEs apply short-term competence diversity strategies rather than long-term prospects regarding competence acquisition and management, due to their family values and rural setting, which strictly narrows the selection of employees and competencies. Also, a general reluctance towards competence diversity is identified, which originates from the very same family values and rural context.
Application of fuzzy failure mode and effect analysis to investigate lean wastes in the sewing section
Authors: Agazhie Temesgen , Hailemariam Shalemu Sharew 
Published: March 2024

PurposeThis study aims to quantify and prioritize the main causes of lean wastes and to apply reduction methods by employing better waste cause identification methodologies.Design/methodology/approachWe employed fuzzy techniques for order preference by similarity to the ideal solution (FTOPSIS), fuzzy analytical hierarchy process (FAHP), and failure mode effect analysis (FMEA) to determine the causes of defects. To determine the current defect cause identification procedures, time studies, checklists, and process flow charts were employed. The study focuses on the sewing department of a clothing industry in Addis Ababa, Ethiopia.FindingsThese techniques outperform conventional techniques and offer a better solution for challenging decision-making situations. Each lean waste’s FMEA criteria, such as severity, occurrence, and detectability, were examined. A pairwise comparison revealed that defect has a larger effect than other lean wastes. Defects were mostly caused by inadequate operator training. To minimize lean waste, prioritizing their causes is crucial.Research limitations/implicationsThe research focuses on a case company and the result could not be generalized for the whole industry.Practical implicationsThe study used quantitative approaches to quantify and prioritize the causes of lean waste in the garment industry and provides insight for industrialists to focus on the waste causes to improve their quality performance.Originality/valueThe methodology of integrating FMEA with FAHP and FTOPSIS was the new contribution to have a better solution to decision variables by considering the severity, occurrence, and detectability of the causes of wastes. The data collection approach was based on experts’ focus group discussion to rate the main causes of defects which could provide optimal values of defect cause prioritization.
A cultural theory perspective to service expectations in restaurants and food services
Authors: Liao Yingying , Soltani Ebrahim , Li Fangrong , Ting Chih-Wen 
Published: March 2024

Purpose
Prior research examining cultural effects on customer service expectations has primarily used more generic Western cultural theory on an aggregate scale or with only a single variable to draw conclusions on a customer’s underlying reasoning for buying a service. This study aims to focus on culturally distinct clusters within non-Western nations, specifically exploring within-cluster differences in service expectations within the Confucian Asia cluster.

Design/methodology/approach
This study developed a measurement model of Chinese cultural values and service expectations, consisting of a three and five-factor structure, respectively. Data from a sample of 351 diners were analysed using SmartPLS software. The data was compared with similar studies within the Confucian Asia cluster to understand the culture effect on service expectations and within-cluster variations.

Findings
The findings underscore the varying importance of cultural values in shaping customer service expectations, emphasizing their relative, rather than equal, significance. The study provides insights into potential within-group differences in customer service expectations within the same cultural cluster – without losing sight of the fundamental cultural heterogeneity of the Confucian culture.

Practical implications
Managers should leverage the distinct cultural values of their operating country to gain insights into diverse customer groups, predict their behaviours and meet their needs and expectations.

Originality/value
This study offers valuable insights to both service management scholars and practitioners by focusing on culturally distinct clusters of non-Western nations and exploring their effects on variation in service expectations within these clusters.
Competitive pressure from peers, firm sizes and firms' risk-taking behaviours: machine learning evidence
Authors: Tian Jinfang , Meng Xiaofan , Li Lee , Cao Wei , Xue Rui 
Published: March 2024

PurposeThis study aims to investigate how firms of different sizes respond to competitive pressure from peers.Design/methodology/approachThis study employs machine learning techniques to measure competitive pressure based on management discussion and analysis (MD&A) documents and then utilises the constructed pressure indicator to explore the relationship between competitive pressure and corporate risk-taking behaviours amongst firms of different sizes.FindingsWe find that firm sizes are positively associated with their risk-taking behaviours when firms respond to competitive pressure. Large firms are inclined to exhibit a high level of risk-taking behaviours, whereas small firms tend to make conservative decisions. Regional growth potential and institutional ownership moderate the relationships.Originality/valueUtilising text mining techniques, this study constructs a novel quantitative indicator to measure competitive pressure perceived by focal firms and demonstrates the heterogeneous behaviour of firms of different sizes in response to competitive pressure from peers, advancing research on competitive market pressures.
Harnessing the power of brand social media marketing on consumer online impulse buying intentions: a stimulus-organism-response framework
Authors: Safeer Asif Ali 
Published: March 2024

Purpose
Social media marketing has become a powerful strategic tool for many brands, but scholarly research in this domain is still in its infancy. This study aims to examine the effects of social media marketing activities on consumer online impulse buying intentions via brand resonance and emotional responses by incorporating the direct and moderating effects of social network proneness toward fashion retail brands.

Design/methodology/approach
By using snowball sampling, this study recruited 441 netizens (who were using fashion retail brands) and obtained their responses through an online survey. Structural equation modeling was applied to 394 responses for analysis.

Findings
The findings discovered that social media marketing activities significantly influenced brand resonance, consumer emotional responses and online impulse buying intentions. Likewise, brand resonance and emotional responses were positively associated with online impulse buying intentions and acted as decisive mediators. Social network proneness’s direct and moderating effects significantly increased consumer online impulse-buying intentions toward fashion retail brands.

Practical implications
This study provides recommendations to retail managers for creating and executing brand positioning, segmenting and targeting strategies to enhance consumers’ intentions for engaging in online impulsive purchases for fashion brands.

Originality/value
This original research contributes to the branding literature and stimulus–organism–response theory by focusing on social media marketing activities, brand resonance, emotional responses, social network proneness and consumer online impulse buying intentions toward fashion retail brands.
Experimental study of a teeth flux sensor for detection, location and severity evaluation of induction machine stator faults
Authors: Saidoune Abdelmalek , Houassine Hamza , Bensaid Samir , Yassa Nacera , Abbas Sadia 
Published: March 2024

Purpose
This paper aims to investigate the efficacy of teeth flux sensors in detecting, locating and assessing the severity of short-circuit faults in the stator windings of induction machines.

Design/methodology/approach
The experimental study involves inducing short-circuit winding turn variations on the induction machine’s stator and continuously measuring the RMS values across teeth flux sensors. Two crucial steps are taken for machine diagnosis: measurements under load operating conditions for fault detection and measurements under no-load conditions to determine fault location and severity.

Findings
The experimental results demonstrate that the proposed approach using teeth flux sensors is reliable and effective in detecting, locating and evaluating the severity of stator winding faults.

Research limitations/implications
While this study focuses on short-circuit faults, future research could explore other fault types and alternative sensor configurations to enhance the comprehensiveness of fault diagnosis.

Practical implications
The methodology outlined in this paper holds the potential to significantly reduce maintenance time and costs for induction machines, leading to substantial savings for companies.

Originality/value
This research contributes to the field by presenting an innovative approach that uses teeth flux sensors for a comprehensive fault diagnosis in induction machines. The originality lies in the effectiveness of this approach in providing reliable fault detection, location and severity evaluation.
The determinants of corporate social responsibility (CSR) committee: executive compensation, CSR-based incentives and ESG performance
Authors: Aldogan Eklund Mehtap , Pinheiro Pedro 
Published: March 2024

Purpose
This paper aims to investigate whether executive compensation, corporate social responsibility (CSR)-based incentives, environmental social and governance (ESG) performance and firm performance are the significant predictors of CSR committees, in addition to CEO, firm and corporate governance characteristics, from the tenet of stakeholder and managerial power theories.

Design/methodology/approach
Switzerland is an exemplary country from the perspective of corporate governance and executive compensation. This empirical study includes a panel data set of listed Swiss companies, so fixed-effect logistic regression has been used.

Findings
It has been found that the companies that offer CSR-based incentives and higher compensation to their CEOs and have better ESG performance are more likely to have CSR committees.

Practical implications
This empirical paper fills the gap in the literature, guides practitioners about the factors that influence the creation and efficiency of CSR committees, and inspires regulatory bodies to ponder on a mandatory CSR committee to form resilient and sustainable organizations worldwide.

Social implications
COVID-19 has re-emphasized the prominence of sustainability and the stakeholder approach. Thus, this paper indicates that CSR committees require the adaption and implementation of a holistic sustainability policy that integrates both external and internal factors and thereby provides a whole process for sustainability issues.

Originality/value
The impact of CSR committees on corporate social performance (CSP) has already been investigated. However, the predictors of CSR committees have been less scrutinized in the literature.
Exploring the determinants of solo female travel intention among millennials: a comparative study from rural and urban perspectives
Authors: Kumar Jitender , Rani Garima , Rani Manju , Rani Vinki 
Published: March 2024

Purpose
This study aims to investigate the factors that impact the solo travel intentions of millennial women in rural and urban areas. By exploring these factors, this research also sheds light on the similarities and differences in travel behaviors and motivations of women in different geographical contexts within India.
Behaviour, body mass and sex: How intraspecific variation influences seed dispersal by a scatter‐hoarding rodent
Authors: Celebias Paulina , Wróbel Aleksandra , Zduniak Milena , Steele Michael , Bogdziewicz Michał , Zwolak Rafał 
Published: March 2024

Abstract

Intraspecific variation plays a pivotal role in shaping ecological dynamics. As the dispersal of seeds of most woody plants is mediated by animals, individual variation within the animal dispersers holds considerable implications for plant population and ecology.

We explored how individual traits (such as sex, body mass and exploration levels) of yellow‐necked mice (Apodemus flavicollis) impact the dispersal of common oak (Quercus robur) acorns. Over 3 years, we collected data on seed fate and the specific mice responsible for their dispersal.

The relationship between individual traits and seed dispersal was not static, but influenced by yearly environmental conditions. Heavier individuals tended to carry seeds farther, yet contrary to our expectations, sex had no effect on the distance of seed dispersal. Moreover, the exploration rate showed an inconsistent association with seed consumption and dispersal distance, while it positively impacted the distance of dispersal from the nearest tree.

Synthesis. Our findings suggest a more nuanced role of individual traits in seed dispersal than often assumed, with noticeable annual variation significantly influencing these impacts. Consequently, it appears there is no single, universally beneficial individual type to ensure maximal benefits to plants. Rather, the traits conferring advantages in seed dispersal are dynamic, subject to change over time in response to environmental context.

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