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This article aims to understand the challenges and key takeaways of implementing total quality management (TQM) in a virtual organisation.

An interventionist research (IVR) methodology combined with a qualitative critical event analysis was used to evaluate the challenges and concerns faced during the company’s adoption of TQM and understand the roles of the key players involved.

Standard process tools such as desktop procedures (DTP), focused teams, and service-level agreements (SLAs) were fundamental to implementing TQM in the company. These processes require the right leaders, but external agents may also be influential, acting as accelerators of change in adopting and using management practices in small companies. Indeed, the researcher acted as a problem solver, bringing innovative solutions to the firm using a hands-on iterative approach.

This research underscores the importance of critical success factors (CSF), such as employee engagement, training, and project management tools. These factors are not just important but crucial for the success of TQM in organisations seeking to adopt the industry’s best practices.

This study, conducted as a virtual IVR for TQM implementation, provides novel insights for practitioners and academics. It elucidates the pivotal role of some quality management tools in the journey towards TQM and the role of both internal and external critical players in the process, particularly in small virtual organisations based on innovative business models.

This study’s main objective is to explore the ISO 9001 implementation model and identify a future research agenda. This is important because not all organizations find it easy to implement ISO 9001, and not all organizations get positive benefits after implementing it.

The paper presents a comprehensive review of the literature on ISO 9001 implementation models using the preferred reporting items for systematic reviews (PRISMA) methodology to systematically review the existing literature on ISO 9001 implementation models. Relevant studies published from 2003 to early 2023 are explored to reveal the research landscape, gaps and trends.

Many ISO 9001 implementation methods have been developed for actual implementation in organizations, including models, frameworks, special variable considerations, application uses and integration. These methods were developed and applied to cover gaps regarding constraints, unbeneficial, special conditions, implementation objectives and organization types in ISO 9001 implementation. Current issues and future research on ISO 9001 implementation models were found, namely ISO 9001 implementation models specific to SMEs, ISO 9001 implementation levels, ISO 9001 implementation models that are agile to change, and affordable certification models.

Only a few researchers have systematically reviewed the literature or taken a bibliometric approach in their analyses to provide an overview of the current trends and links to ISO 9001 implementation models. The ISO 9001 standard is a general standard and can be applied by all organizations with the implementation method left to the implementer. Many implementation methods have been developed, but several implementation obstacles and disadvantages are still found. It is important to know the extent of current research and discover future research gaps regarding methods of implementing the ISO 9001 standard.

In this study, we investigate the effects of an extended ternary hybrid Tiwari and Das nanofluid model on ethylene glycol flow, with a focus on heat transfer. Using the Cross non-Newtonian fluid model, we explore the heat transfer characteristics of this unique fluid in various applications such as pharmaceutical solvents, vaccine preservatives, and medical imaging techniques.

Our investigation reveals that the flow of this ternary hybrid nanofluid follows a laminar Cross model flow pattern, influenced by heat radiation and occurring around a stretched cylinder in a porous medium. We apply a non-similarity transformation to the nonlinear partial differential equations, converting them into non-dimensional PDEs. These equations are subsequently solved as ordinary differential equations (ODEs) using MATLAB’s bvp4c tools. In addition, the magnetic number in this study spans from 0 to 5, volume fraction of nanoparticles varies from 5% to 10%, and Prandtl number for EG as 204. This approach allows us to examine the impact of temperature on heat transfer and distribution within the fluid.

Graphical depictions illustrate the effects of parameters such as the Weissenberg number, porous parameter, Schmidt number, thermal conductivity parameter, Soret number, magnetic parameter, Eckert number, Lewis number, and Peclet number on velocity, temperature, concentration, and microorganism profiles. Our results highlight the significant influence of thermal radiation and ohmic heating on heat transmission, particularly in relation to magnetic and Darcy parameters. A higher Lewis number corresponds to faster heat diffusion compared to mass diffusion, while increases in the Soret number are associated with higher concentration profiles. Additionally, rapid temperature dissipation inhibits microbial development, reducing the microbial profile.

The numerical analysis of skin friction coefficients and Nusselt numbers in tabular form further validates our approach. Overall, our findings demonstrate the effectiveness of our numerical technique in providing a comprehensive understanding of flow and heat transfer processes in ternary hybrid nanofluids, offering valuable insights for various practical applications.

The purpose of the study is to analytically as well as numerically investigate the weight of throughflow on the onset of Casson nanofluid layer in a permeable matrix. This study examines both the marginal and over stable kind of convective movement in the system.

A double-phase model is used for Casson nanofluid, which integrates the impacts of thermophoresis and Brownian wave, whereas for flow in the porous matrix the altered Darcy model is occupied under the statement that nanoparticle flux is disappear on the boundaries. The resultant eigenvalue problem is resolved analytically as well as numerically with the help of Galerkin process with the Casson nanofluid Rayleigh–Darcy number as the eigenvalue.

The findings revealed that the throughflow factor postpones the arrival of convective flow and reduces the extent of convective cells, whereas the Casson factor, the Casson nanoparticle Rayleigh–Darcy number and the reformed diffusivity ratio promote convective motion and also decrease the extent of convective cells.

Controlling the convective movement in heat transfer systems that generate high heat flux is a real mechanical challenge. The proposed framework proved that the use of throughflow is one of the most important ways to control the convective movement in Casson nanofluid. To the best of the authors’ knowledge, no inspection has been established in the literature that studies the outcome of throughflow on the Casson nanofluid convective flow in a porous medium layer. However, the convective flow of Casson nanofluid finds many applications in improving heat transmission and energy efficiency in a range of thermal systems, such as the cooling of heat-generating elements in electronic devices, heat exchangers, pharmaceutical practices and hybrid-powered engines, where throughflow can play a significant role in controlling the convective motion.

Scientists have been conducting trials to find ways to reduce fuel consumption and enhance heat transfer rates to make heating systems more efficient and cheaper. Adding solid nanoparticles to conventional liquids may greatly improve their thermal conductivity, according to the available evidence. This study aims to examine the influence of external magnetic flux on the flow of a mixed convective Maxwell hybrid non-Newtonian nanofluid over a linearly extending porous flat plate. The investigation considers the effects of thermal radiation, Dufour and Soret.

The mathematical model is formulated based on the fundamental assumptions of mass, energy and momentum conservation. The implicit models are epitomized by a set of interconnected nonlinear partial differential equations, which include a suitable and comparable adjustment. The numerical solution to these equations is assessed for approximate convergence by the Runge−Kutta−Fehlberg method based on the shooting technique embedded with the MATLAB software.

The findings are presented through graphical representations, offering a visual exploration of the effects of various dynamic parameters on the flow field. These parameters encompass a wide range of factors, including radiation, thermal and Brownian diffusion parameters, Eckert, Lewis and Soret numbers, magnetic parameters, Maxwell fluid parameters, Darcy numbers, thermal and solutal buoyancy factors, Dufour and Prandtl numbers. Notably, the authors observed that nanoparticles with a spherical shape exerted a significant influence on the stream function, highlighting the importance of nanoparticle geometry in fluid dynamics. Furthermore, the analysis revealed that temperature profiles of nanomaterials were notably affected by their shape factor, while concentration profiles exhibited an opposite trend, providing valuable insights into the behavior of nanofluids in porous media.

A distinctive aspect of the research lies in its novel exploration of the impact of external magnetic flux on the flow of a mixed convective Maxwell hybrid non-Newtonian nanofluid over a linearly extending porous flat plate. By considering variables such as solar radiation, external magnetic flux, thermal and Brownian diffusion parameters and nanoparticle shape factor, the authors ventured into uncharted territory within the realm of fluid dynamics. These variables, despite their significant relevance, have not been extensively studied in previous research, thus underscoring the originality and value of the authors’ contribution to the field.

This paper aims to critically examine traditional approaches to paradoxes and propose a new approach and perspective that views “chiasmic” organizing as a intertwining combination of structure and processes that facilitate the handling of multiple interrelations for processing paradoxes and harness their creative potential in organizations.

Employing a cross-disciplinary approach, a literature review and a critical lens, along with conceptual work (typology), are used to identify problems and deficiencies in existing research on paradoxes. Specifically, it draws on Merleau-Ponty's process-oriented phenomenology and post-Cartesian ontology to gain a comprehensive understanding of post-dualistic forms of chiasmic organizing and its relationship with paradoxical phenomena.

The process-oriented phenomenology and post-Cartesian ontology used in this article offer valuable insights and a critical approach to comprehend post-dualistic forms of chiasmic organizing in relation to paradoxes. This understanding can help in tapping into the energizing and creative potential of paradoxes. The paper also highlights the significance of the “in(ter)-between” as a reversible principle in chiasmic organizing and proposes some implications.

Limitations and implications of this study are identified and discussed.

The paper offers practical implications for organizations in processing paradoxes.

This paper contributes to the existing literature by providing a conceptual critique and proposing a novel understanding of chiasmic organizing as an intertwining structure and mediating processes by employing a process-oriented phenomenology and post-Cartesian ontology. It also offers innovative ways to approach paradoxes and tap into their creative potentials, which can bring about change in organizations.

This present study sheds light on how these issues affect police officers’ personal and professional lives. This research looks at how family support (FS) and workplace pressures affect police effectiveness.

The analysis of the measurement and structural model was conducted using AMOS version 26. To ensure the accuracy of the results, a two-stage analysis methodology (Anderson and Gerbing, 1988) was used. The first stage involved testing the measurement model using various validity indicators such as confirmatory factor analysis, comparative fit index, goodness of fit index and Tucker–Lewis index to evaluate the incremental compatibility of the model. Root-mean-square approximation error and CMIN/DF were also used to further assess the model’s validity. In the second stage of the analysis, the structural model was estimated using structural equation modeling technique (Hair et al., 1998). The data obtained from the measurement model was then used to determine the fit indices. Because the values were consistent with the criterion values, the model was deemed to be a good fit.

The study conducted sheds light on the crucial role that work stressors (WS) and FS play in determining job satisfaction (JS) among nongazetted officers (NGOs) and other ranks (ORs) police officials in the state of Punjab, India. The findings suggest that there exists a complex interdependence between WS and FS, and their correlation with regards to work, family and children’s evaluations. The first hypothesis (H1, Table 4) was found to be true (0.440, p = 0.001), indicating that more than 44 % of the job performance of police officials in Punjab is affected by stressors related to work. The study also identified eight WS that have a significant impact on the performance of police officials on the job. On the other hand, FS was found to have no influence on the job performance of police officials in Punjab, and hence, the second hypothesis was rejected. Further analysis showed that FS was more prevalent among NGOs as compared to ORs police personnel, but it did not directly influence their job performance. The benefits of FS may be moderated by the nature of the job; hence, FS may be more critical in stressful jobs such as police work than in less stressful jobs. The study emphasizes the importance of balancing work and family demands and highlights the need for family-friendly policies to achieve this balance. Future research should focus on the types of policies that should be offered to lessen stress and conflict and examine the benefits of merely offering programs versus requiring or encouraging their usage. The findings of this study could be useful for policymakers and organizations in designing policies that promote employee well-being and JS while balancing work and family demands.

As with any research endeavor, it is essential to interpret the findings of this study while considering its limitations. First, the study relied on a convenience sample drawn solely from one nation, namely, India, which may restrict the generalizability of the results to other countries or cultural contexts. Furthermore, it is important to note that this study exclusively explored the causal relationship between monetary compensation, intrinsic motivation and employee performance, without delving into the nuances of various forms or qualities of FS (e.g. emotional support, instrumental support, perceived vs actual support) and their impact on job performance among police officers. Additionally, the research did not investigate whether the influence of FS on job performance varies based on the specific WS encountered by police officers. These limitations highlight potential avenues for future research to explore in greater depth.

To enhance the well-being and JS of police officers and their families, a comprehensive set of tailored interventions and support programs can be implemented. Recognizing the unique stressors faced by officers and introducing critical incident debriefing sessions and counseling services to provide a confidential space for emotional processing. Offering flexible scheduling, exploring remote work options and developing workshops and resource programs to address the needs of officers’ families, including stress management and communication skills. Strengthening parental leave policies, incorporating extended paid leave and clear communication, to alleviate stress during significant family events. Establishing peer support networks within police departments to provide officers with a valuable avenue for sharing experiences and coping strategies. Collectively, these interventions aim to create a supportive and family-friendly environment within the police force, ultimately fostering improved work-family balance and enhanced well-being for police personnel. To enhance the well-being and JS of police officers and their families, a comprehensive set of tailored interventions and support programs can be implemented. Recognizing the unique stressors faced by officers, critical incident debriefing sessions and counseling services should be introduced to provide a confidential space for emotional processing. Given the demanding nature of police work, exploring flexible schedules and remote work options can assist officers in achieving a better work-life balance, particularly when dealing with family-related challenges. Workshops and resource programs specifically addressing the needs of officers’ families, including stress management and communication skills, can be developed to strengthen family connections. Strengthening parental leave policies, incorporating extended paid leave and clear communication, can alleviate stress during significant family events. Establishing peer support networks within police departments provides officers with a valuable avenue for sharing experiences and coping strategies. Regular mental health check-ins and screenings, as well as financial education workshops, acknowledge and address the unique challenges faced by officers and their families. Community engagement and recognition initiatives, along with specialized training on work-family balance, can foster positive morale. Finally, the establishment of a crisis intervention and FS hotline serves as a vital lifeline during critical situations, ensuring immediate assistance and resources for officers and their families in times of need. Collectively, these interventions aim to create a supportive and family-friendly environment within the police force.

The primary objective of this study is to assess the impact of occupational demands and familial support on the overall happiness levels of police officers stationed in Punjab, India. The research underscores the crucial importance of implementing family-friendly policies aimed at achieving a harmonious equilibrium between professional responsibilities and family life commitments. The findings unveil a multifaceted interconnection between occupational stress, familial support systems and individual assessments concerning career fulfillment, domestic life and parental responsibilities. Moreover, the study sheds light on various family-friendly initiatives, such as empowerment strategies and recognition programs, that have the potential to augment JS among police personnel. Furthermore, it suggests that future investigations delve deeper into the efficacy of implementing voluntary programs rather than mandating or promoting their usage in mitigating stress and resolving familial conflicts. The study establishes a clear correlation between JS, overall well-being and the interplay between occupational demands and familial encouragement. Policymakers and corporate entities are urged to take cognizance of these factors while formulating strategies aimed at enhancing the health and contentment levels of employees in the workplace. Additionally, the study underscores the significance of cultural factors, emphasizing the need to consider them in future research endeavors and policy formulations. Cultural factors such as societal norms, values and expectations can influence the way that police personnel perceive and use FS, as well as the impact that FS has on their job performance. By conducting cross-cultural studies, researchers can gain insights into how the relationship between FS and job performance may vary across different cultural contexts. This can help to identify universal factors as well as culturally specific influences on the interplay between FS and job performance among police personnel. Furthermore, investigating the impact of FS on job performance in diverse cultural contexts can contribute to the development of culturally sensitive support programs and policies for police officers. Understanding how cultural factors shape the experiences of police personnel and their families can inform the design of interventions that are tailored to the specific needs and challenges present in different cultural settings. In summary, expanding the research scope to include diverse cultural contexts can enhance the generalizability of the findings and contribute to the development of culturally sensitive support programs and policies for police officers.

The content of this paper is entirely original and has not been derived from any other published or unpublished documents. It has been created solely for the purpose of providing new and unique information for the readers.

This study aims to establish an analytical framework to help investors accommodate their environmental, social, and corporate governance (ESG) preferences. The analytical solutions were complemented by empirical analyses to shed light on their benefits and tractability.

This study proposes an expected multi-attribute utility analysis for ESG investors in which stocks can be treated as more green or less green (brown) than the market, represented by an index, all modeled in a one-factor structure. The solution is found via the Hamilton-Jacobi-Bellman (HJB) equation with proper treatment of various sources of risk. For the empirical analysis, we use the RepRisk Rating of US stocks from 2010 to 2020 to select companies that are representative of various ESG ratings.

This study finds closed-form solutions for optimal allocations, wealth and value functions. Our empirical analysis reveals drastic increases in wealth allocation toward high-rated ESG stocks for ESG-sensitive investors, even as the overall level of pecuniary satisfaction remains unchanged.

This study broadens the existing analytical framework by introducing a market portfolio along with green and brown stocks. As by-products, we first demonstrate that investors do not need to reduce their pecuniary satisfaction to increase green investment. Second, we propose a parameterization to capture investors' preferences for green assets over brown or market assets, independent of asset performance.

Contradictory sustainability priorities and perspectives among supply chain actors in greening transportation can be challenging. Several of these contradictions can be described as paradoxes (i.e. interests that are logical in themselves, but become irrational when perceived together). The aim of this study is to increase the understanding of paradoxical tensions hampering the greening of transportation in transport buyer–supplier dyads.

A case study method targeting greening transportation in two transport buyer–supplier dyads was applied, followed by an analysis with a point-of-departure in paradox theory.

Tensions related to performing, belonging, learning and organizing paradoxes in greening transportation were identified. These tensions arise as a consequence of actions, perspectives and other tensions, within three identified loci in individual companies and in dyads.

By identifying examples of tensions through the lens of paradoxes in a particular setting, this study provides an increased understanding of why the transition toward green transportation goes slow, despite the high ambitions of involved actors. The suggested framework provides a novel contribution to the literature that further increases the understanding of tensions, by providing additional insights into where tensions arise and how actions, perspectives and tensions in one place of a locus spectrum can disseminate along that spectrum.

This study is original because it applies paradox theory and the four categories of performing, belonging, learning and organizing within the field of greening transportation, and in particular as a lens to study interactions between different actors.

This study investigates the coupling effects between temperature, permeability and stress fields during the development of geothermal reservoirs, comparing the impacts of inter-well pressure differentials, reservoir temperature and heat extraction fluid on geothermal extraction.

This study employs theoretical analysis and numerical simulation to explore the coupling mechanisms of temperature, permeability and stress fields in a geothermal reservoir using a thermal-hydrological-mechanical (THM) three-field coupling model.

The results reveal that the pressure differential between wells significantly impacts geothermal extraction capacity, with SC-CO2 achieving 1.83 times the capacity of water. Increasing the aperture of hydraulic and natural fractures effectively enhances geothermal production, with a notable enhancement for natural fractures.

The research provides a critical theoretical foundation for understanding THM coupling mechanisms in geothermal extraction, supporting the optimization of geothermal resource development and utilization.