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The existing gaps and knowing about the truth inspired the researchers to select this area and to know more about various initiatives taken for their liberation by an individual self-propagating effort, the faith-based communities, the government, the organizations dealing with educationalists as researchers, banking, media and the revealing role of women in handling poverty concerns.

The current study is compiled after the review of seventy-seven research articles. This study adopted a descriptive research design essentially because it appears more appropriate for the study. Data were collected mainly through the secondary sources such as electronic databases like Scopus, Web of Science, EBSCO, Google Scholars. The study is conducted through a qualitative approach.

Hence based on the extensive literature review and its synthesis, this research work explores the meaning of poverty, its effects, root cause, measurement tools, associated theories and models and stakeholders' role in poverty alleviation.

This study reflects that there is a huge gap in designing standardized tools that can bring more income equality, ethics in operations, cooperation and environmental sustainability.

For poverty alleviation, individuals need to work towards perfection and improving their own skill sets. Leading Faith groups encouraging individuals about their divine duties to help the poor community and promote debt forgiveness. Government provides funds to develop certain tools and app that can help in checking the distribution of wealth. Banks to introduce flexible microcredit scheme education sector need to develop more financial literacy and innovative thinking courses. Social media and Information communications technology (ICT) provide connectivity services with high affordability.

Poverty will remain be an ongoing societal challenge if not handled by various stakeholders strategically by contributing in their own fields with their unique ideas.

The proposed idea explained through qualitative inquiry promotes compassion and hope needed for poverty alleviation through various stake holders.

We argue this method of inquiry better represents the participants' learning, lives and experiences in the formal neoliberal education system prioritising performativity, categorising and ranking students.

The paper explores using poetry as a research method to reveal the learning experiences of adult learners, who have often had disruptive experiences of the formal schooling system and return to study in community-based education spaces. Inspired by Laurel Richardson’s transgressive technique of presenting sociological data through poetry as method, we use poetic representations of these learners' lives alongside case study research methodology. The research was conducted in conjunction with Neighbourhood Houses in Victoria, Australia. Qualitative data were generated through conducting multiple case studies of learners across various adult community education (ACE) sites. In this research, some case studies were presented in the traditional method of writing biography, others were written in the form of found poetry, which we refer to as data as poetry and text. The paper uses found poetry through participant-voiced poems written from interview transcripts. We argue this method of inquiry better represents the participants' learning, lives and experiences in the formal neoliberal education system prioritising performativity, categorising and ranking students. Our findings highlight the benefits of using poetry to communicate data in case study research as it effectively represents the experiences of adult learners' lives in a creative and concise form, transgressing normative practices of writing education research. These poetic representations of data reveal learner experiences in an embodied and agentic way while providing readers with a deep and rich understanding of these crucial adult learning spaces.

Our findings highlight the benefits of using poetry to communicate data in case study research as it effectively represents the experiences of adult learners' lives in a creative and concise form, transgressing normative practices of writing education research.

This research paper is empirical research and has not been submitted elsewhere for publication.

The study aims to understand the phenomenon of workplace ostracism from multiple perspectives (target, perpetrator and observer). The understanding of the phenomenon is used to thematically analyse the antecedents of workplace ostracism and identify appropriate strategies for each antecedent.

The study findings are based on face-to-face semi-structured interviews with thirty-three senior and medium-level employees from various public and private sector organizations in India. The interview transcripts were systematically analyzed to identify antecedents of ostracism, which were inductively grouped together based on similarity.

The antecedents of workplace ostracism were grouped into four major heads: perceived non-alignment with organizational needs; emotional reaction; unconscious social processes and structural and demographic differences. Based on interview transcripts, strategies to reduce the effect of each of the broad antecedents of ostracism were identified.

Workplace ostracism has been linked with multiple negative outcomes including increased stress and turnover intention. The study provides managers with a framework that enables them to evaluate and understand incidences of ostracism among their subordinates. The study also equips managers with the knowledge of specific strategies for dealing with specific antecedents of ostracism.

The study answers the need to look at the phenomenon of ostracism through multiple perspectives. It identifies multiple potentially new antecedents and strategies to deal with workplace ostracism and groups them in a coherent manner. It is among the few studies on ostracism in India and extends the generalizability of the construct.

This paper contributes to a dialogue about the psychoanalytic concept of free association and its application in the context of qualitative research interviewing. In doing so, it also adds to wider discussion regarding the relationship between clinical psychoanalysis, psychoanalytic psychotherapy and qualitative research.

Critical consideration of different perspectives on the application of free association in the qualitative research interview, extending earlier work addressing this issue. Differences and similarities in the way the concept of free association is articulated are examined regarding its framing in psychoanalysis and psychoanalytically oriented psychotherapy.

Whether researchers see themselves as borrowing, applying or drawing inspiration from free association, there is scope for muddling distinct ways of viewing it as it is conceived in psychoanalysis.

Considerations are outlined for researchers interested in psychoanalytically informed methods to be mindful of.

The study aims to examine the relationship between telework conditions and employees' job satisfaction (JS) within knowledge-intensive public organizations (KIPOs). Additionally, it aims to unfold the mediating role played by both organizational and job characteristics, namely supervisory support (SS) and job autonomy (JA).

The analysis adopts a simultaneous qualitative-quantitative design, starting with a preliminary inductive analysis of qualitative data, followed by a deductive quantitative analysis using structural equation modeling (SEM). The data were retrieved from a survey completed by some 700 employees of a regional environmental protection agency in Italy.

Findings show that the positive association between conditions for telework (CT) and JS is partially mediated by both SS and JA. Moreover, the results of the study suggest a sequential nature of such mediational patterns.

This research provides an empirical contribution to a relatively under-investigated area: the role of job characteristics in explaining the nexus between telework and JS. Furthermore, the study takes place within the context of a KIPO, adding particular significance to the emerging insights due to the distinct nature of the work conducted in such settings.

This paper aims to answer questions pertinent to whether or not services provided by smart hotels are really what customers are looking for, as well as to ascertain what are some unintended experiences guests may encounter. In essence, to the best of the authors’ knowledge, this research is the first in the field to acknowledge the paradox of smart service.

This inquiry adopts a qualitative approach with data-driven from online customer reviews and semistructured interviews. Thematic analysis was undertaken to interpret review comments.

Results point to a new phenomenon, which is coined as the smartness paradox. In particular, customers on one hand enjoy an array of smart-infused experiences that jointly offer patrons a sense of a futuristic lifestyle. On the other hand, smart devices superimpose a number of hindrances that bring guests dismay and annoyance.

This investigation brings smart service failure to the fore to highlight several key failure themes that could jeopardize the entire operation with debased customers’ satisfaction and loyalty inclination.

The smartness-paradox framework used in the present inquiry entails both approach and avoidance consequences customers enact depending on their smart experiences.

The lack of a definite standard for determining the sample size in qualitative research leaves the research process to the initiative of the researcher, and this situation overshadows the scientificity of the research. The primary purpose of this research is to propose a model by questioning the problem of determining the sample size, which is one of the essential issues in qualitative research. The fuzzy logic model is proposed to determine the sample size in qualitative research.

Considering the structure of the problem in the present study, the proposed fuzzy logic model will benefit and contribute to the literature and practical applications. In this context, ten variables, namely scope of research, data quality, participant genuineness, duration of the interview, number of interviews, homogeneity, information strength, drilling ability, triangulation and research design, are used as inputs. A total of 20 different scenarios were created to demonstrate the applicability of the model proposed in the research and how the model works.

The authors reflected the results of each scenario in the table and showed the values for the sample size in qualitative studies in Table 4. The research results show that the proposed model's results are of a quality that will support the literature. The research findings show that it is possible to develop a model using the laws of fuzzy logic to determine the sample size in qualitative research.

The model developed in this research can contribute to the literature, and in any case, it can be argued that determining the sample volume is a much more effective and functional model than leaving it to the initiative of the researcher.

There is a growing need for methodological plurality in advancing operations management (OM), especially with the emergence of machine learning (ML) techniques for analysing extensive textual data. To bridge this knowledge gap, this paper introduces a new methodology that combines ML techniques with traditional qualitative approaches, aiming to reconstruct knowledge from existing publications.

In this pragmatist-rooted abductive method where human-machine interactions analyse big data, the authors employ topic modelling (TM), an ML technique, to enable constructivist grounded theory (CGT). A four-step coding process (Raw coding, expert coding, focused coding and theory building) is deployed to strive for procedural and interpretive rigour. To demonstrate the approach, the authors collected data from an open-source professional project management (PM) website and illustrated their research design and data analysis leading to theory development.

The results show that TM significantly improves the ability of researchers to systematically investigate and interpret codes generated from large textual data, thus contributing to theory building.

This paper presents a novel approach that integrates an ML-based technique with human hermeneutic methods for empirical studies in OM. Using grounded theory, this method reconstructs latent knowledge from massive textual data and uncovers management phenomena hidden from published data, offering a new way for academics to develop potential theories for business and management studies.

The present study, drawing on boundary theory, attempts to investigate entrepreneurs’ work–life balance (WLB) in terms of how they manage and construct the borders between their non-work and work lives.

The current qualitative study is grounded on in-depth interviews with 30 entrepreneurs currently living and working in the United Arab Emirates (UAE). When selecting the interviewees, the authors used purposeful sampling to ensure a diverse sample of interviewees with respect to nationality, age, gender and the nature of their business.

The findings suggest that most interviewees believe an entrepreneurial career can contribute positively to their lives. However, some individuals question whether it is possible to have some level of WLB while managing entrepreneurial businesses in the UAE’s competitive environment. Further, some entrepreneurs prioritize “work” over “family life,” indicating a love for their work and a lack of desire for any boundaries. Working long hours and managing a successful business over a longer period of time is also found to be negatively related to WLB.

Entrepreneurship has become a desirable career option, thus stimulating much research attention. However, little is known about entrepreneurs’ WLB challenges, especially regarding whether entrepreneurship improves individuals’ WLB. The present study uses boundary theory to understand how subjective insights regarding WLB and effective boundary management might address this gap.

The complex world in which we reside is calling for more critical approaches to address the precarity experienced by the most marginalized in social systems. However, human resource development (HRD) lacks empirical data to describe, define and project the objectives and future directions of Critical HRD in today’s turbulent and volatile times. Therefore, the purpose of this study is to examine the historical and contemporary progression of Critical HRD, as described by nine of its most well-known scholars.

Data were collected through semistructured interviews, and a constructivist grounded theory coding approach was applied during analysis to identify themes and patterns.

The findings of this study highlight the persistent scholarship versus practice divide among Critical HRD scholars, suggesting that Critical HRD may merely be an academic undertaking and something not practiced within the public domain. The authors call for an evolution of Critical HRD toward more practice- and action-oriented approaches to scholarship and teaching so that meaningful changes can take place in actual organizations and workplaces.

To the best of the authors’ knowledge, this study was the first to empirically show that there is a real research–practice gap, particularly among Critical HRD scholars. Critical HRD scholars need to take these findings seriously as an opportunity to reflect on how they can take Critical HRD to the next level beyond academic discourse.