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A gap between research and practice is commonly perceived throughout accounting academia. However, empirical evidence on the magnitude of this detachment remains scarce. The authors provide new evidence to the ongoing debate by introducing a novel topic-based approach to capture the research-practice gap and quantify its extent. They also explore regional differences in the research-practice gap.

The authors apply the unsupervised machine learning approach Latent Dirichlet allocation (LDA) to compare the topical composition of 2,251 articles from six premier research, practice and bridging journals from the USA and Europe between 2009 and 2019. The authors extend the existing methods of summarizing literature and develop metrics that allow researchers to evaluate the research-practice gap. The authors conduct a plethora of additional analyses to corroborate the findings.

The results substantiate a pronounced topic-related research-practice gap in accounting literature and document its statistical significance. Moreover, the authors uncover that this gap is more pronounced in the USA than in Europe, highlighting the importance of institutional differences between academic communities.

The authors objectify the debate about the extent of a research-practice gap and stimulate further discussions about explanations and consequences.

To the best of the authors' knowledge, this is the first paper to deploy a rigorous machine learning approach to measure a topic-based research-practice gap in the accounting literature. Additionally, the authors provide theoretical rationales for the extent and regional differences in the research-practice gap.

The academic–practitioner gap has been a widely discussed and well-established issue. Despite numerous studies conducted in this area, empirical evidence reveals that the gap is widening and also emphasizes the exigency to bridge this gap. Hence, the purpose of this study is to propose an acceptable solution that will fill this lacuna.

The study adopts the qualitative research methodology and was based on the system theory (ST) and the institutional theory (IT). Interviews, based on a semi-structured questionnaire, were conducted, focusing on three categories, namely individuals with solely academic experience, individuals with both academic and industrial exposure and business leaders. The unit of analysis was the individual.

The study, which unearthed some rich and challenging evidence from the respondents, reveals that gaining industrial exposure and working on continuous professional development are vital for academics to narrow or even close this gap. In addition, serving as apex members at board level or in professional bodies, serving global organizations as lead consultants and working on research collaborations are other important dimensions for academics.

This study introduces an emerging model named the “Pentagon Model” and develops a corporate index (C-index) for academics to earn, similar to the h-index. The study also explains the operationalization of the C-index based on the proposed algorithm. Hence, it is the envisaged that this study will change the landscape of the academic sphere in practical terms.

This study was carried out with the sole intention of bridging the gap between academics and practitioners. The proposed model and the index, which were developed by the author purely based on the outcome of this study, pave the way for many future research studies, not only to further improve the C-index but also to minimize disparities in transdisciplinary work between academics and practitioners.

This study's main goal is to explore how small and medium-sized enterprises (SMEs) in the food as well as beverage (F&B) area should evolve to survive in a bustled post-pandemic future.

Drawing on the knowledge-practice gap in the field of Entrepreneurial Orientation (EO) as well as Business Model Innovation (BMI), this study examines an integrated framework using the F&B sector as an empirical field of research. This study uses an empirical quantitative approach using the main information aggregated from a questionnaire administered during the study. The sample had 467 valid responses (71.08% response rate). This paper uses the Partial-Least Squares Structural Equation Model (PLS-SEM) to examine structural relationships because this technique is usually proposed for models with complex relations.

According to the research EO is directly and indirectly, correlated with BMI. The correlation is positive and significant. Simultaneously, corporate social responsibility (CSR) is partially mediated in the stated relation between EO as well as BMI, and CETA where it shows a positive moderation part in EO's influence on CSR. In particular, it elucidates how EO promotes CSR and BMI, alongside moderating part of circular economy principles adoption (CEPA).

These research findings suggest that SMEs in the F&B sector should transform the way they traditionally manage their businesses by applying circular economic principles into entrepreneurial orientation to promote CSR-based practices and acquire the resources obtained from internal and external stakeholders. Hence, their business can recover from post-pandemic effects and become resilient to future disruptions. Furthermore, this study suggests that adopting circular economy principles provides a key source of knowledge and insights that allows firms to sharpen their entrepreneurial orientation toward incorporating stakeholders and social environmental concerns into business models for sustainability, especially in the uncertain and drastic changing environment.

This study proposes a novel approach by which BMI is formed and evolved based on circular economy principles-oriented entrepreneurship and the synergies of stakeholders through undertaking corporate social responsibility practices. Drawing from the knowledge-practice gap, this research adds to the existing knowledge about EO as well as BMI with a conceptualized and operationalized empirical framework in a novel context that was not covered in current literature, especially in the context of uncertainties and disruptions experienced during COVID-19 outbreaks. The F&B sector was hit and how it should evolve to recover and build resilience is perceived as an urgent issue.

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.

The importance of inclusive leadership has been recognized by scholars and practitioners alike. However, the ways in which inclusive leadership can be achieved and implemented in hospitality seem to be unclear. In order to answer how inclusive leadership can be put into practice in hospitality, this paper explores (1) employees' and managers' perceptions of inclusion and (2) diversity practices in hotel organizations.

By espousing a qualitative methodology, semi-structured interviews with management representatives, as well as local and foreign employees of 4- and 5-star hotel organizations, were utilized in order to identify what inclusive leadership looks like in theory and in practice. Data were analyzed via thematic analysis and the utilization of the NVivo software.

Findings suggest that an inclusive leader should be caring and respectful, pursue fair treatment, support employee development, express employee appreciation and recognize their role in social inclusion more widely.

This original work reduces the research-practice gap in the field of diversity management by providing succinct recommendations to hospitality managers in the form of an adaptable best practice framework. The diagrammatic framework includes the values related to inclusive leadership as they emerged, as well as the practices through which each theme could be enacted.

This study aims to investigate the implementation of lean human resource management (HRM) practices in manufacturing small- and medium-sized enterprises (SMEs) and explore how various factors interact to influence their successful adoption. By exploring the interplay among these factors, the research seeks to identify key drivers affecting the adoption of lean HRM in manufacturing SMEs. Ultimately, the research intends to provide insights that can guide organisations, practitioners and policymakers in effectively implementing lean HRM practices to enhance operational efficiency, workforce engagement and competitiveness within the manufacturing SME sector.

The study combined total interpretive structural modelling (TISM) and Matrice d'Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) analysis. TISM helped in understanding the hierarchical relationship among different factors influencing lean HRM implementation, whereas MICMAC analysis provided insights into the level of influence and dependence of each factor on others.

The research revealed that “top management support” emerged as the most independent factor, indicating that strong support from top management is crucial for initiating and sustaining lean HRM practices in manufacturing SMEs. On the other hand, “employee involvement and empowerment” was identified as the most dependent factor, suggesting that fostering a culture of employee engagement and empowerment greatly relies on the successful implementation of lean HRM practices.

While the study provided valuable insights, it has certain limitations. The research was conducted within the specific context of manufacturing SMEs, which might limit the generalizability of the findings to other industries. Expert opinions introduce subjectivity in data collection. Additionally, the study may not cover all critical factors, allowing room for further exploration in future research.

The findings have practical implications for manufacturing SMEs aiming to implement lean HRM practices. Recognising the pivotal role of top management support, organisations should invest in cultivating a strong leadership commitment to lean HRM initiatives. Furthermore, enhancing employee involvement and empowerment can lead to better adoption of lean HRM practices, resulting in improved operational efficiency and overall competitiveness.

This research contributes to the field by offering a comprehensive exploration of the interplay among factors influencing lean HRM implementation. The use of TISM and MICMAC analysis provides a unique perspective on the relationship dynamics between these factors, allowing for a nuanced understanding of their roles in the adoption of lean HRM practices in manufacturing SMEs. The identification of “top management support” as the most independent and “employee involvement and empowerment” as the most dependent factors adds original insights to the existing literature.

Agricultural land loss is a severe issue that Australia faces, along with many other countries. Myriad research studies have discussed the reasons for such land loss, including urban sprawl as the main factor and factor's repercussions. However, there is a knowledge gap in understanding the impact of dwelling type on farming land reduction. Also, there is an application gap, particularly in the local context. The purpose of this study is to discover the effect of differing dwelling types (compact and non-compact) in metropolitan areas with a growing population (such as Craigieburn) toward potentially noticeable agricultural land loss.

This paper aims to fill these research and practice gaps through a case study using a mixed methods approach. A quantitative analysis was conducted of housing types, the types' growth and agricultural land area taken up by those different housing types over 18 years. Thematic analysis of policies, strategies, schemes and codes relevant to the case study enabled a better understanding of practice gaps.

The study revealed a significant loss of agricultural land. Separate housing was found to be the main culprit due to the number of houses and the area the houses require, thus exhibiting the lack of practical guidelines to prevent the houses' overdevelopment. The findings enabled the identification of opportunities for better practice through government intervention and potential industry alterations.

Previous literature has primarily explored the issues associated with urban sprawl and the sprawl's unsustainability. This research paper offers a more targeted insight into one of the key factors leading to urban sprawl: the types of dwellings being constructed.

The research objective was to check the impact of industry 4 (I4) technologies on environmental sustainability (ENS) with the mediating role of green supply chain management (GSCM) of textile companies in Saudi Arabia.

Data was collected from those respondents who were linked with management and also have knowledge of I4 technologies. The researchers distributed 500 questionnaires among respondents for data collection, 350 questionnaires were received, and used for analysis. The researchers employed the quantitative research approach and cross-sectional research design.

The results indicate that I4 has a positive effect on ENS and GSCM practices except for green purchasing where I4 has an insignificant impact on green purchasing. On the other hand, GSCM practices also significantly mediate between I4 and ENS except for green purchasing which has an insignificant mediating effect.

This study has a great theoretical contribution to literature as it provides strategic insight to managers as well as policymakers. From the perspective of resource-based view, this study is supportive to use I4 technology practices in GSCM. Furthermore, the current research suggests managers to implement I4 technologies and adopt the GSCM practices. These practices should be part of environmental strategies. The implementation of these practices will assist in building a strong reputation and satisfaction of customers and to fulfill the requisites of stakeholders.

The research was conducted with the extended framework of the mediating effect of GSCM between I4 and ENS of Saudi Arabia textile companies which are considered to be a pioneer study in the extant literature.

Non-verbal communication (NVC) remains largely understudied despite its importance in today's fast-paced and cross-cultural management and research landscape. This article is significant because it reveals valuable insights into NVC, which represents 65–93% (Mehrabian, 1981) of communication and has the potential to considerably increase management effectiveness and efficiency by providing leaders and researchers with the knowledge they need to understand and handle diversity with competence.

This article draws on social identity theory (SIT) (Tajfel and Turner, 1979) and rapport management theory (RMT) (Brown and Levinson, 1987) to analyse illustrative interview extracts of co-occurring verbal and NVC from an interpretative phenomenological analysis (IPA) study focussed on understanding how London-based Romanian migrant entrepreneurs experience acculturation.

Romanian migrant entrepreneurs use a variety of verbal and non-verbal communication approaches in their acculturation narratives, providing depth and occasionally shifting meaning. These tactics include repeating verbal discourse with non-verbal clues, replacing verbal communication with non-verbal gestures, complementing verbal communication and juxtaposing non-verbal cues with verbal descriptions.

This study makes a valuable contribution to the fields of qualitative organisational management and entrepreneurial studies by addressing the lack of methodological tools available for analysing non-verbal language in interpretative research. This study presents a systematic technique for assessing non-verbal language symbols that has been developed through face-to-face interviews. The article utilises the first-hand interview experience of a Romanian co-researcher to demonstrate the significance of NVC in the transmission of meaning and the formation of identities amongst Romanian migrant entrepreneurs. These findings contribute to a better understanding of organisational management and research practices, particularly about this understudied entrepreneurial minority of Romanian businesses in London, by helping researchers and managers better grasp the cultural and contextual meanings communicated non-verbally. The article holds significance in the context of cross-cultural and organisational management practices.

The importance of mental wellbeing and the need for organizations to address it is increasing in the post-pandemic context. Although Artificial Intelligence (AI) is increasingly being adopted in HRM functions, its adoption and utility for enabling mental wellbeing is limited. Building on the Open System Theory (OST) and adopting the technology-in-practice lens, the authors examined the roles of human and technology agencies in enabling mental wellbeing.

The study was conducted in two stages; in Stage 1, the authors adopted a case methodology approach to examine the feasibility of a technology company's offerings to assess mental wellbeing. In Stage 2, the authors followed the grounded theory approach and interviewed 22 key stakeholders and HR leaders of diverse organizations. The authors used Gioia's approach to analyze the data.

The study demonstrates the interdependence and inseparability of human activity, technological capability and structured context. Specifically, the authors observe that AI adoption is pushing the boundaries of how organizations could support employees' mental health and wellbeing. These technological advancements and adoption are likely to facilitate the evolution of agentic practices, routines and structures.

This study carries two important implications. While the advent of cutting-edge technologies appears to affect employees' mental wellbeing, the study findings indicate the assistive role of technology in supporting mental wellbeing and facilitating changes in organizational practices. Second, the ontology of technology-in-practice shows how human–machine agencies gain newer relevance from the interactions that unite them. Specifically, per OST, technology (from an external context) can potentially change how mental wellbeing practices in organizations are managed. The authors extend the existing literature by suggesting that both human agents and internal contexts effectively limit the potential of technology agents to change existing structures significantly.

The authors address the need for more research on the technology-management interface, and the boundaries of technology-enabled wellbeing at work. While AI-HRM scholarship has primarily relied on micro-level psychological theories to examine impact and outcomes, the authors borrow from the macro-level theories, such as the OST and the technology-in-practice to explain how AI is shifting the boundaries of human and machine agencies for enabling mental wellbeing.