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Quality assessment of textile products is of prime concern to intimately meet consumer demands. The dilemma faced by textile producers is to figure out the stability among quality criteria and efficiently deal with target specifications. Hence, the basic devotion is to attain the optimum value product which entirely satisfies the views and perceptions of consumers. Selection of best fabric among several alternatives in the presence of contradictory measures is a disputing problem in multicriteria decision-making.

In the current study, the analytic hierarchy process (AHP) and preference ranking organization method for enrichment evaluation (PROMETHEE) are proficiently used to solve the problem in selection of branded woven shawls. AHP method verifies comparative weights of the criteria selection, while the ranking of fabric alternatives grounded on specific net-outranking flows is executed through PROMETHEE II method.

The collective AHP and PROMETHEE approaches are applied for the useful accomplishment of grading of branded shawls based on multicriteria weights, used for effective selection of fabric materials in the textile market.

In the apparel industry, fabric and garment manufacturers often rely on hit-and-trial methods, leading to significant wastage of valuable resources and time, in achieving the desirable fabric qualities. The implementation of the findings can assist apparel manufacturers in streamlining their fabric selection processes based on multiple criteria. By adopting this method, industry players can make informed decisions, ensuring a balance between quality standards and consumer expectations, thereby enhancing both product value and market competitiveness.

The methods of Visual PROMETHEE and AHP are assimilated to offer a complete method for the selection and grading of fabrics with reference to multiple selection criteria.

The purpose of the study is to identify the soft skills and abilities that are crucial to success in the fields of operations management (OM) and supply chain management (SCM), using the O*NET database and the classification of a set of professional figures integrating values for task skills and abilities needed to operate successfully in these professions.

The study used the O*NET database to identify the soft skills and abilities required for success in OM and SCM industries. Correlation analysis was conducted to determine the tasks required for the job roles and their characteristics in terms of abilities and soft skills. ANOVA analysis was used to validate the findings. The study aims to help companies define specific assessments and tests for OM and SCM roles to measure individual attitudes and correlate them with the job position.

As a result of the work, a set of soft skills and abilities was defined that allow, through correlation analysis, to explain a large number of activities required to work in the operations and SCM (OSCM) environment.

The work is inherently affected by the database used for the professional figures mapped and the scores that are attributed within O*NET to the analyzed elements.

The information resulting from this study can help companies develop specific assessments and tests for the roles of OM and SCM to measure individual attitudes and correlate them with the requirements of the job position. The study aims to address the need to identify soft skills in the human sphere and determine which of them have the most significant impact on the OM and SCM professions.

The originality of this study lies in its approach to identify the set of soft skills and abilities that determine success in the OM and SCM industries. The study used the O*NET database to correlate the tasks required for specific job roles with their corresponding soft skills and abilities. Furthermore, the study used ANOVA analysis to validate the findings in other sectors mapped by the same database. The identified soft skills and abilities can help companies develop specific assessments and tests for OM and SCM roles to measure individual attitudes and correlate them with the requirements of the job position. In addressing the necessity for enhanced clarity in the domain of human factor, this study contributes to identifying key success factors. Subsequent research can further investigate their practical application within companies to formulate targeted growth strategies and make appropriate resource selections for vacant positions.

Our proposed machine learning model contributes to improving the quality of Hire by providing a more nuanced and comprehensive analysis of candidate attributes. Instead of focusing solely on obvious factors, such as qualifications and experience, our model also considers various dimensions of fit, including person-job fit and person-organization fit. By integrating these dimensions of fit into the model, we can better predict a candidate’s potential contribution to the organization, hence enhancing the Quality of Hire.

Within the scope of the investigation, the competencies of the personnel working in the IT department of one in the largest state banks of the country were used. The entire data collection includes information on 1,850 individual employees as well as 13 different characteristics. For analysis, Python’s “keras” and “seaborn” modules were used. The Gower coefficient was used to determine the distance between different records.

The K-NN method resulted in the formation of five clusters, represented as a scatter plot. The axis illustrates the cohesion that exists between things (employees) that are similar to one another and the separateness that exists between things that have their own individual identities. This shows that the clustering process is effective in improving both the degree of similarity within each cluster and the degree of dissimilarity between clusters.

Employee competencies were evaluated within the scope of the investigation. Additionally, other criteria requested from the employee were not included in the application.

This study will be beneficial for academics, professionals, and researchers in their attempts to overcome the ongoing obstacles and challenges related to the securing the proper talent for an organization. In addition to creating a mechanism to use big data in the form of structured and unstructured data from multiple sources and deriving insights using ML algorithms, it contributes to the debates on the quality of hire in an entire organization. This is done in addition to developing a mechanism for using big data in the form of structured and unstructured data from multiple sources.

The United Nations Convention on the Rights of Persons with Disabilities (2006) recognizes the right of disabled people to access work. Against this legislative backdrop, this study explores the strengths and weaknesses of the Italian system of targeted placement for disabled people, based on Law 68/1999, which delegates to regional authorities the management of the labor market. The examination centers on the perspective of companies, the primary stakeholders in the inclusion of persons with disabilities within organizational structures.

The article discusses the results of focus groups conducted with 28 managers of large, medium and small enterprises in Lombardy (Italy). Qualitative analysis was employed, and the results were structured using a simplified strengths, weaknesses, opportunities and threats (SWOT) analysis, incorporating practical recommendations.

The analysis leads to practical suggestions to improve the entire targeted placement process at the regional level, from selection and accompaniment to evaluation, such as improving the networking of local stakeholders who deal with the inclusion of disabled people, homogeneity of the procedures in different regions, making all employees aware of diversity management, etc. The territorial network and the welfare environment are particularly important in achieving a successful targeted placement and to promote an inclusive corporate culture.

This study is not representative of Italy as a whole, as it remains a qualitative investigation focused on a single region.

This contribution accomplishes an in-depth study of the law of labor inclusion of people with disabilities observed from the point of view of companies, which are still usually reluctant to integrate people with disabilities into their organizations or encounter difficulties in doing so.

This study aims to explore the unique and synergistic effects of green human resource management (GHRM) and corporate environmental ethics (CEE) on the environmental performance (EP) of manufacturing small and medium-sized enterprises (SMEs) in Yemen, a less developed country (LDC).

Through a cross-sectional survey design, data were collected from 262 manufacturing SMEs in Yemen and analyzed using “hierarchical regression analysis” via PROCESS Macro.

The empirical results showed that GHRM and CEE positively affect EP and, more importantly, that CEE and GHRM have a synergistic effect on EP.

This study makes a theoretical contribution by integrating GHRM, CEE and EP into a single framework, taking into account the perspectives of the resource-based view and the ethical theory of organizing. The results corroborate the unique and synergistic effects of GHRM and CEE on EP of SMEs in the manufacturing sector.

The results of this study offer valuable insights for SME managers/decision-makers, who are anticipated to become more interested in integrating environmental ethics into their companies. This has implications that with the consideration of CEE, SMEs can benefit from GHRM practices to improve their EP.

The study highlights the positive economic and social impact of SMEs adopting eco-friendly practices like GRHM. In today’s economy, it is not sufficient to simply strive for economic growth. It is possible for SMEs to achieve well-rounded performance by implementing the recommended framework that emphasizes the importance of social and environmental well-being.

This study advances the existing work on the impact of GHRM on EP by demonstrating the crucial role of CEE in predicting EP of manufacturing SMEs in LDCs like Yemen. Previous research on GHRM has mainly been conducted on SMEs in developed nations, which may not be entirely applicable to LDCs. It is crucial to understand this aspect in the context of LDCs so that SMEs can adopt environmental practices effectively in the future: how SMEs conserve the environment through their environmental practices.

This study aims to facilitate access to vascular disease screening for low-income individuals living in remote and conflict areas based on the results of a pilot trial in Colombia. Also, to increase the amount of diagnosis training of vascular surgery (VS) in civilians.

The operation method includes five stages: strategy development and adjustment; translation of the strategy into a real-world setting; operation logistics planning; strategy analysis and adoption. The operation plan worked efficiently in this study’s sample. It demonstrated high sensibility, efficiency and safety in a real-world setting.

The authors developed and implemented a flow model operating plan for screening vascular pathologies in low-income patients pro bono without proper access to vascular health care. A total of 140 patients from rural areas in Colombia were recruited to a controlled screening session where they underwent serial noninvasive ultrasound assessments conducted by health professionals of different training stages in VS.

The plan was designed to be implemented in remote, conflict areas with limited access to VS care. Vascular injuries are critically important and common among civilians and military forces in regions with active armed conflicts. As this strategy can be modified and adapted to different medical specialties and geographic areas, the authors recommend checking the related legislation and legal aspects of the intended areas where we will implement this tool.

Different sub-specialties can implement the described method to be translated into significant areas of medicine, as the authors can adjust the deployment and execution for the assessment in peripheral areas, conflict zones and other public health crises that require a faster response. This is necessary, as the amount of training to which VS trainees are exposed is low. A simulated exercise offers a novel opportunity to enhance their current diagnostic skills using ultrasound in a controlled environment.

Evaluating and assessing patients with limited access to vascular medicine and other specialties can decrease the burden of vascular disease and related complications and increase the number of treatments available for remote communities.

It is essential to assess the most significant number of patients and treat them according to their triage designation. This management is similar to assessment in remote areas without access to a proper VS consult. The authors were able to determine, classify and redirect to therapeutic interventions the patients with positive findings in remote areas with a fast deployment methodology in VS.

Access to health care is limited due to multiple barriers and the assessment and response, especially in peripheral areas that require a highly skilled team of medical professionals and related equipment. The authors tested a novel mobile assessment tool for remote and conflict areas in a rural zone of Colombia.

This study develops a measure of anticipated chilly climate for women and provides initial evidence of its validity.

We draw on three studies. Study 1 consisted of three focus groups to gain deeper insights into the meaning of the concept for prospective female jobseekers and generate scale items. In Study 2, we pre-tested job post vignettes (N = 203), refined the scale items and explored the factor structure (N = 136). Study 3 aimed to determine the convergent and discriminant validity of the new scale (N = 224) by testing its relationships with organisational attractiveness, person-organisation fit perceptions and gendered language.

The results show that the anticipated chilly climate is an important concept with implications for applicants’ career decision-making and career growth in the technology industry, where women tend to be underrepresented. Perceptions of anticipated chilly climate comprise expectations of devaluation, marginalisation and exclusion from the prospective employment. The masculine stereotypes embedded in the language of the job posts signalled a chilly climate for both genders, negatively affecting perceptions of fit and organisational attractiveness.

Most previous studies have focussed on the actual experiences of chilly climates in organisations. We extend this body of literature to anticipatory climates and draw on social identity threat theory and signalling theory to highlight that job applicants make inferences about the climate they expect to find based on job ads. Specifically, they may anticipate a chilly climate based on cues from job ads signalling masculine stereotypes. Whilst the literature has emphasised women’s perceptions of chilly climates within organisations, our results show that both genders anticipate chilly climates with detrimental consequences for both organisations and prospective job applications.

The aim of this study is to understand the levels (i.e. mild vs intense) of task conflict (TC) expressions between angel investors and entrepreneurs at the post-investment stage and how it affect angel investors’ follow-on investment intentions with the same entrepreneur.

Survey data was gathered from 71 angel investors in China. Mplus was used to test the proposed research model.

This study found that angels perceive affective conflict (AC) when engaged in intense TC, unlike the case for mild TC expressions. Furthermore, the analysis shows that, unlike mild TC expressions, intense TC expressions impede angels’ reinvestment intentions when they perceive ACs. Other results indicate that when angels perceive that entrepreneurs are not open to coaching, the prominence of mild TC expression is sharply mitigated and becomes as detrimental as intense TC expressions.

This study only focused on one specific aspect of the angel–entrepreneur post-investment relationship: The effect of their TC expressions on angels’ reinvestment intentions. By no means do the authors imply that TC expression in the angel–entrepreneur post-investment relationship is the only factor that matters to angel investors in their follow-on investment intentions with the same entrepreneur.

The findings suggest that entrepreneurs should pay careful attention to TC that may arise between them and their financiers. TCs are not entirely detrimental, but their negative effect might depend on how they are expressed. An appropriate level of TC may also improve enterprise performance and collaboration. Thus, angels and entrepreneurs should set clear goals and performance standards, where task interactions mainly focus on the goals and expected outcomes.

Prior to this study, little was known about whether all TCs potentially lead to ACs. By distinguishing between levels (i.e. mild vs intense) of TC expressions between angels and entrepreneurs, this study adds a novel aspect to it by showing that TC, in and of itself, does not necessarily lead to AC but can lead to AC once its intensity grows.

The purpose of this study is to empirically test the intelligent career framework in a public sector setting in a country with a clientelistic culture to inform human resource management strategies.

Based on a qualitative methodology and an interpretivist paradigm, 33 in-depth interviews were conducted with Greek civil servants before the COVID-19 pandemic. The interview recordings were subsequently transcribed and coded via a blend of inductive and deductive approaches.

Outcomes of the study indicate that in a public sector setting in a country with a clientelistic culture, the three dimensions of knowing-whom, knowing-how and knowing-why are less balanced than those reported by findings from private sector settings in countries with an individualistic culture. Instead, knowing-whom is a critical dimension and a necessary condition for career development that affects knowing-how and knowing-why.

The theoretical contribution comes from providing evidence of the dark side of careers and how imbalances between the three dimensions of the intelligent career framework reduce work satisfaction, hinder career success and affect organisational performance. The practical contribution offers recommendations for human resource management practices in the public sector, including training, mentoring, transparency in performance evaluations and fostering trust.

Organizations increasingly use inclusion initiatives to reflect a meaningful involvement of their entire workforce as part of their larger diversity, equity and inclusion (DEI) strategies. However, the conceptualization of inclusion and its impact on larger DEI efforts and the organization remains unclear, coupled with the organizations’ struggles to find ways to embrace and advance inclusion. Hence, the purpose of this study is to synthesize ways of inclusion conceptualizations and review empirical evidence related to inclusion.

The authors conducted a literature review using the method of scoping review coupled with topical cluster mapping techniques.

The authors captured three ways of inclusion conceptualizations and provided an overview of topic clusters related to inclusion and its measurement tools. The authors also proposed a path model of inclusion based on emerging empirical evidence related to inclusion in the workplace.

To the best of the authors’ knowledge, this is one of the pioneering efforts to provide a much-needed review of inclusion in the workplace, which provides guidance for further research and practice to fulfill the goal of inclusion for all in the current workplace.