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The purpose of this research is to assess the existing state of MSW in Kanpur city with the aim of identifying the main obstacles to its efficiency and the prospects for improvisation of the solid waste management system in the city.

The research has been conducted in three stages. The first stage involved collection of background information through various reports, publications of various organizations to understand the state of MSWM in the city, followed by interviews with various heads of the Municipal Corporation involved in SWM, municipal workers and residents of the city. Field studies were conducted in few wards of the city and official dump sites. The third stage involved conducting interviews with planning experts and representatives from NGOs to derive information on various SWM related problems and prospects for improvising the system.

The existing solid waste management system in the city appears to be highly inefficient. Only primary and secondary collection, transportation and open dumping are practiced, that too in a non‐technical manner.

There is a need to establish a detailed database regarding the quantity and quality of the waste generated by various generators category wise. There is a need to find the exact size of the informal waste recycling sector and the economics of waste recycling in the city to integrate it with the formal sector.

This paper systematically assesses the obstacles in the existing solid waste management system in Kanpur city and tries to assess the potentials for its improvisation.

Recently, the concept of the circular economy (CE) has witnessed significant momentum in academic and professional circles. However, there is a dearth of research that studies the enabling factors of the CE in the era of digital transformation. The existing research aimed to identify the impact of Industry 4.0 readiness on the CE in manufacturing firms operating in Jordan, as well as to identify the mediating role of the industrial Internet of things and big data analytics.

For this work objectives, 380 questionnaires were analyzed. Convergent validity and discriminant validity tests were performed through partial least squares-structural equation modelling (PLS-SEM) in the Smart-PLS programme. Data reliability was confirmed. A bootstrapping technique was used to analyze the data and then hypothesis testing was performed.

The results indicate that Industry 4.0 readiness, industrial Internet of things (IIoT) and big data analytics positively enable CE, also the IIoT and big data analytics positively mediate the nexus between Industry 4.0 readiness and CE.

This study promotes the idea of focusing on Industry 4.0 readiness to enhance CE in the Jordanian manufacturing sector and knowing the effect of IIoT and big data analytics in this relationship.

This research developed a theoretical model to understand how Industry 4.0 readiness might enhance the CE in manufacturing firms by invoking the IIoT and big data analytics as mediating constructs in the relationship between Industry 4.0 readiness and CE. This paper offers new theoretical and practical contributions that add value to industry 4.0 and CE literature by testing these constructs' mediation models in the manufacturing sector.

The current advancements in technologies and the internet industry provide users with many innovative digital devices for entertainment, communication and trade. However, simultaneous development and the rising sophistication of cybercrimes bring new challenges. Micro businesses use technology like how people use it at home, but face higher cyber risks during riskier transactions, with human error playing a significant role. Moreover, information security researchers have often studied individuals’ adherence to compliance behaviour in response to cyber threats. The study aims to examine the protection motivation theory (PMT)-based model to understand individuals’ tendency to adopt secure behaviours.

The study focuses on Australian micro businesses since they are more susceptible to cyberattacks due to the least security measures in place. Out of 877 questionnaires distributed online to Australian micro business owners through survey panel provider “Dynata,” 502 (N = 502) complete responses were included. Structural equational modelling was used to analyse the relationships among the variables.

The results indicate that all constructs of the protection motivation, except threat susceptibility, successfully predict the user protective behaviours. Also, increased cybersecurity costs negatively impact users’ safe cyber practices.

The study has critical implications for understanding micro business owners’ cyber security behaviours. The study contributes to the current knowledge of cyber security in micro businesses through the lens of PMT.

This paper aims to investigate the consequence of the combined impacts of an induced magnetic field and thermal radiation on peristaltic transport of a Carreau nanofluid in a vertical tapered asymmetric channel. The model applied for the nanofluid comprises the effects of Brownian motion and thermophoresis.

The governing equations have been simplified under the widespread assumption of long-wavelength and low-Reynolds number approximations. The reduced coupled nonlinear equations of momentum and magnetic force function have also been solved analytically using the regular perturbation method.

The physical features of emerging parameters have been discussed by drawing the graphs of velocity, temperature, nanoparticle concentration profile, magnetic force function, current density, heat transfer coefficient and stream function. It has been realized that the magnetic force function is increased with the increase of Hartmann number, magnetic Reynolds number and mean flow rate.

It may be first paper in which the effect of induced magnetic field on peristaltic flow of non-Newtonian nanofluid in a tapered asymmetric channel has been studied.

Drawing on the resource-based view (RBV) and the dynamic capabilities view (DCV), this study investigates how circular economy entrepreneurship (CEE) drives technical capabilities (TC) in achieving greater circular economy (CE) performance for small and medium-sized enterprises (SMEs) under the moderating influence of environmental dynamism. SMEs, facing resource constraints, need to promote CE due to growing stakeholder pressures. Thus, the authors recommend that SMEs via CEE can identify CE opportunities and then develop specific TC to exploit opportunities in the business environment to achieve CE performance. However, in doing so SMEs should pay attention to the varying degrees of environmental dynamism.

The RBV and DCV are used as a theoretical lens to investigate the direct and moderation effects between CEE, TC, CE performance and environmental dynamism tested via partial least square structural equation modeling (PLS-SEM) using survey data from 152 managers of SMEs in Nepal.

The study results show that CEE directly has a positive and significant effect on the development of TC and CE performance. Similarly, the development of TC drives SMEs to achieve improved CE performance, as evidenced by the positive and significant effect. Interestingly, the results suggest that environmental dynamism significantly improves the relationship between TC and CE performance, but this effect is strongest at high levels of environmental dynamism rather than at low and moderate levels. Additionally, the findings reveal that while environmental dynamism has a positive effect on the relationship between CEE and TC, this effect is insignificant.

Based on the arguments of the RBV and the DCV, this study explores how environmental dynamism can reduce and amplify SMEs' ability to use CEE to develop TC and improve CEP. First, this study integrates the circular economy and entrepreneurship domains to suggest essential CEP and TC benefits for SMEs via CEE. Second, this study suggests that at low levels of environmental dynamism, CEE has less effect on the SMEs’ development of TC, compared to high levels. Third, this study is conducted in the novel institutional context of Nepal, providing insights regarding how SMEs' CE entrepreneurship impacts TC and CEP.

This study aims to evaluate and compare the quality of work life (QWL) of nurses, in pre- and post-COVID-19 pandemic situations.

The study adopts a descriptive research design. Data were collected during the pre- and post-pandemic periods. The target sampling unit of the study comprises nurses working in Bangalore city, Karnataka, India. The minimum sample size was determined (Bartlett et al., 2001) as 385. The scale validation is carried out. The factors for the present study were explored using exploratory factor analysis and confirmed by confirmatory factor analysis. Model fitness (proposed measurement model) is ensured by using fit indices. The linear regression method was used to measure the level of QWL of nurses.

The present study noted that key factors that affects the QWL of nursing staff are work condition; work environment; work-life balance; compensation and reward; career development; job satisfaction and security; organization culture; relationship among co-workers and stress. Further, it is noticed that QWL of nurses pre-COVID-19 pandemic is 87.2%, while post-COVID-19 pandemic, it is 67%.

Present study can be extended to address the same research question by considering sampling unit such as therapist, technicians and sanitarians who have equally undergone tremendous pressure during pandemic.

The study outcome provides references for organizations engaged in health services to understand the extreme job conditions posed by pandemic. The constructive inspiration (physio-social and organizational support) reinforces the nurses to continue in their professions by decreasing negative impact.

The research paper extends the contributions of Hwang (2002), Nikeghbal et al. (2021), Howie–Esquivel et al. (2022) and Rania et al. (2023) and add to the existing body of the QWL literature. The outcome of the research records the prevailing conditions of pandemic and its effect on changes in work environment with specific reference to health-care sector.

This study aims to assess the nexus between perceived overqualification (POQ), anger, knowledge hiding, cyberloafing and harmonious passion (HP).

The authors obtained 264 responses from two public traded firms in Pakistan using a supervisor-subordinated nested design and a multi-time data collecting strategy using convenience sampling.

The study results indicate that POQ positively affects knowledge hiding and cyberloafing. The authors also found anger as a potential mediator in the direct association between POQ and cyberloafing. In addition, the findings suggest that the association between POQ, knowledge hiding and cyberloafing will be weak when individuals exhibit HP towards their job roles. The results of this research, when considered as a whole, provided support for all of the hypothesised direct and indirect linkages, which has important ramifications for both theory and practise.

This study has both theoretical and practical implications. Grounded on equity theory and relative deprivation theory, this paper asserts that HP should be used to decrease POQ affect. According to the authors, pro-environment employee actions may help build a pro-environment workplace culture as well as a pro-environment sense of responsibility, both of which can help to achieve significant pro-environment results.

This study builds on and fills in the gaps left by earlier research to better aid organisational researchers, practitioners and stakeholders in understanding how POQ, rage, information concealing, cyberloafing and harmonic passion interact with one another.

The social media (SM) engagement framework consists of dimensions of employee privacy expectations and organizations' social media orientation. Further, the social media privacy orientation model provides better understanding of complexities of selection and retention created by the social media landscape.

Organizations are increasingly seeking talent to support burgeoning social media strategies. Qualified employees may be expected to have related professional experience and an active personal social media presence. In contrast to this evolving demand, prevailing guidelines suggest applicants minimize their social media activity altogether. These restrictive guidelines may be better suited for organizations that prefer or require high levels of discretion on social media given the differing engagement expectations across firms and among individuals.

How the congruence between an employee's expectations of privacy on SM and the organization's expectation of employees' SM usage affects applicant attraction to organizations and employee retention is outlined. Propositions are offered to foster research in this area.

Social media congruence is an important consideration for human resource (HR) policies and associated training.

Public policies toward the use of social media in recruitment and privacy should consider social media congruence.

The model advanced in the paper provides organizations and applicants with a stronger understanding of the complexities surrounding the use of SM in selection and retention decisions.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2021-0260