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Bearings are critical components used to support loads and facilitate motion for rotating and sliding parts of the machinery. Bearing malfunctions can cause catastrophic failures. Hence, failure analysis and endeavors to improve bearing performance are essential discussions for worldwide designers, manufacturers and end users of vital machinery. This study aims to investigate a type of roller bearing from the railway industry with premature failures. The task arises because locomotives’ maintenance and service life quality are vital to railway operations while providing transportation services for the nation. To assist in maintaining the designated locomotives, the present study scrutinizes the causes of failure of heavy-duty roller bearings from locomotive bogie axleboxes.

It is intended to inspect this bearing service life and statistically scrutinize its design parameters to reveal the failures’ shortcomings and origins. The significant measures include examinations of their failures’ primary and vital factors by comparing them with a real-life service history of 16 roller bearings of the same type. The bearings come from the axleboxes of a locomotive bogie with an axle load of 20 tons. The bearing loads are estimated using the EN13104 standard document and confirmed by the finite element method using ABAQUS engineering software. To validate the finite element modeling results, the bearings’ stress analysis is performed using the Hertzian contact theory that demonstrated perfect conformity. The said methods are also used to search for the areas susceptible to failures in these bearings. With the inclusion and exploitation of the bearing maintenance conditions and the logbook recordings of the locomotives for the past seven years, the critical cause for this type of bearing’s failures is surveyed and discussed.

With the inclusion and exploitation of the bearing maintenance conditions and the logbook recordings of the locomotives for the past seven years, the critical cause for this type of bearing’s failures is surveyed and discussed. As a crucial result, it is found that deprived maintenance and inadequate lubrication are the root causes of the loss of the selected bearings.

For the designated locomotives, the origins of the heavy-duty roller bearing failures and its design shortcomings are revealed by examining and comparing them with a real-life service history of many of the same types of bearings. The novelty of the research is in using the combination of the methods mentioned above and its decent outcome.

This paper seeks to assess the performance levels of BA-GS-LSSVM compared to popular standalone algorithms used to build NO₂ prediction models. The purpose of this paper is to pre-process a relatively large data of NO₂ from Internet of Thing (IoT) sensors with time-corresponding weather and traffic data and to use the data to develop NO₂ prediction models using BA-GS-LSSVM and popular standalone algorithms to allow for a fair comparison.

This research installed and used data from 14 IoT emission sensors to develop machine learning predictive models for NO₂ pollution concentration. The authors used big data analytics infrastructure to retrieve the large volume of data collected in tens of seconds for over 5 months. Weather data from the UK meteorology department and traffic data from the department for transport were collected and merged for the corresponding time and location where the pollution sensors exist.

The results show that the hybrid BA-GS-LSSVM outperforms all other standalone machine learning predictive Model for NO₂ pollution.

This paper's hybrid model provides a basis for giving an informed decision on the NO₂ pollutant avoidance system.

This research installed and used data from 14 IoT emission sensors to develop machine learning predictive models for NO₂ pollution concentration.

Consumers often prefer sustainable goods and services but fail to follow through with purchases that reflect these espoused values. The green intention–outcome gap is studied in many contexts but has yet to inform deathcare decisions. Industry reports suggest that most Americans prefer sustainable deathcare options, yet unsustainable corpse dispositions dominate the market. The purpose of this paper is to understand how history informs this phenonea.

This study looks to the past – using historical narrative analysis of deathcare trends and influential intermediaries – to understand the future of sustainable deathcare and the prospective role that marketers can play in bridging the gap between decedents’ preferences and survivors’ purchase outcomes.

Historical ritualization, medicalization and commercialization have resulted in the monopolization of traditional deathcare services. Mortuary professionals remain unresponsive to consumer preferences for sustainable alternatives.

Socioeconomic shocks can allow humanity to reflect and transition from consumerism to sustainability. COVID-19 has led to greater awareness of self-mortality, and death has become less taboo. The slow market penetration of sustainable deathcare services suggests a lack of communication between a decedent and their survivors. Marketing scholars need to help marketing practitioners bridge the preference-outcome gap.

To the best of the authors’ knowledge, this study is amongst the first to examine how history informs the sustainable action–outcome gap for deathcare preferences in a post-COVID environment and the role that marketers can play in perpetuating change.

In the era of Industrial Revolution (IR) 4.0, the integration of digital technologies, automation and data-driven insights has generated a broad wave of transformation across all industries, including the insurance sector. The study focuses on determining how the adoption of these technologies (InsurTech) is changing the life insurance industry, ultimately enhancing the level of customer satisfaction.

The data analysis has been performed with 304 useable responses from the policyholders of life insurance in the north-west region of India. The methodology adopted for this study is partial least squares (PLS) structural equation modeling (SEM). To investigate the predictive relevance of customer satisfaction, the PLS predict technique has been used. Also, importance performance map analysis (IPMA) has been applied to assess the important and performing dimensions of customer satisfaction.

The outcomes show that the adoption of InsurTech has a positive impact on customer satisfaction. Customer service management and policy management are among the strongest predictors of customer satisfaction, and the predictive relevance is reported to be moderate. IPMA results have suggested that improvements in online distribution of insurance services and customer service management lead to higher customer satisfaction.

The conceptual model can be tested with the moderating effect of different demographic factors (age, gender etc.), and future research can be done to analyze the mediating role of customer satisfaction between InsurTech adoption and customer loyalty.

The study offers valuable contributions to the marketing literature, shedding light on the influence of InsurTech adoption on customer satisfaction within the Indian life insurance sector. The research offers a practical approach that could help marketing professionals and policymakers comprehend the utilization of online insurance services, and this understanding can help industry experts to develop customer-oriented products and services.

This research is the first of its kind to test the association between InsurTech adoption and customer satisfaction in the life insurance sector in the Indian context. Research also provides novel insights for policymakers to enhance the satisfaction of customers towards using online insurance services in the near future in developing countries like India.

This paper seeks to establish design quality indicators (DQIs) that can be utilized for assessing the design of community centers, with an emphasis on the technical, functional, and behavioral performance domains.

A comprehensive literature review resulted in identifying 79 DQIs for community centers. A three round Delphi evaluation approach was utilized to rate the importance of the DQIs through their relative importance index (RII) values. The assessment of the DQIs involved a diverse group of stakeholders including facilities managers, architects/engineers (A/Es), community centers’ staff, and regular visitors of community centers.

The majority of the established DQIs were considered to be either “Very Important” or “Important”.

The established DQIs can be utilized to identify best practices in the design of community centers and benchmark the performance of different community centers.

The design quality of community centers could significantly impact the community's quality of life and user experience. The development of DQIs provides for enhanced accountability and improved service delivery for the communities they serve. This enables community centers to be more effective, efficient, and responsive to the needs of the users they support.

In most Sub-Saharan African countries, a widely adopted policy to increase access to healthcare is the complete or partial removal of health user fees. This paper examines the effect of removing health user fees on the cognitive development of children in Ghana.

The study uses the Ghana Socioeconomic Panel Survey (GSPS) and a difference-in-differences method to analyze the impacts of free healthcare.

The findings show that improved access to healthcare enhances the cognitive ability of children. More importantly, children who received free healthcare in early life experienced significant improvement in their cognitive ability. The benefits are also huge for girls and children from low-income families. The findings further show that maternal health, the timely receipt of vaccinations and regular infant health visits are important operative channels through which improved access to healthcare affects children’s cognitive ability.

There are several studies on the effects of eliminating health user fees on various outcomes, but only a few focus on children’s outcomes. This study contributes to the literature by focusing on a vital child outcome, cognitive ability and exploring the timing and pathways through which abolishing health user fees affect cognitive development in children. Because cognitive ability is crucial for educational and labor market outcomes, the findings are useful for policymakers in determining the population to target and the timing of interventions that yield huge impacts when designing health intervention programs in developing countries.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2022-0739.

This study aims to comprehend the smart city–built environment’s (SCBE) effect on citizens’ quality of life in the smart cities of a developing country such as India. This study also sought to investigate the moderating effect of technological anxiety on the association, as mentioned earlier.

This study’s hypotheses were tested using data from 494 sample respondents who lived in the top five smart cities of India using partial least square-based structural equation modeling.

This study validated five dimensions of an SCBE, including smart governance, smart economy, smart people, smart transportation, smart environment and smart living, and demonstrated a favorable connection between a SCBE quality of life. This study confirmed that technology anxiety strongly moderates the relationship between the built environment of smart cities and citizens’ quality of life.

This study is a pioneering effort that explores the relationship between SCBE and the quality of life of its residents and the moderating effect of technology anxiety on this relationship.

This study aims to critically examine the implementation of green supply chain management (GSCM) practices in service organizations in Thailand.

This study observed 17 service organizations in the private, government, state and non-profit sectors. The multiple case study method was used, including semi-structured interviews, observations and documentation. The data were analyzed using content and thematic analysis methods. Abductive reasoning was used to explain new findings that do not align with prior theories.

A total of 13 of the 17 cases studied had environmental management systems (EMS). Four were GSCM-proactive and moving toward sustainable sufficiency by involving nearby communities in their service delivery. Although regulations and policies from their head offices were key pressures, leaders with high commitment and eco-awareness achieved outstanding success. Instances of greenwashing and fraud were evident among four non-adopters, one of whom was an environmental regulator.

This study acknowledges that leader commitment and high eco-awareness are the most powerful factors. However, the limited timeframe did not allow a deeper exploration of how to create a socially responsible leader. While the openness of information was evident from the best practitioners, non-adopters did not share any eco-certification or reports. They did not allow the researcher to contact other potential respondents apart from the arranged interview sessions. However, correct data were obtained when the answers were contradictory and one(s) told the truth.

A sustainable and sufficient service supply chain model and new equation were proposed, embracing stakeholders such as society, regulators and employees. Recommended practical strategies include green procurement, reduced utility use and reverse logistics (3Rs and 5Ss).

In the GSCM theory, while the manufacturing sector focuses on economics and the environment, green practices in the service sector address social concerns. This study establishes connections between four concepts: EMS-founded GSCM, leading to repeated use of materials in a circular economy (CE). CE is thus the pathway to reducing consumption and achieving real happiness through a sufficiency economy philosophy (SEP).

The world population over the age of 60 is expected to increase from 900 million in 2015 to two billion by 2050. Retirement homes have emerged as a prominent housing alternative and become a trend for the older adults; however, older population in Malaysia could have a negative view of retirement homes. Different generations could have different perceptions of the value of retirement homes. This study aims to explore the value of retirement homes across diverse age cohorts in Malaysia.

A qualitative approach is adopted for this study. Thematic analysis is used to analyse the interview transcripts obtained from semi-structured interviews.

The results indicated that baby boomers tend to have more negative values towards retirement homes, whereas Generations X and Y demonstrated more favourable and positive values for retirement homes.

This study serves as a useful reference for housing developers, policymakers and the management of retirement homes to better understand how different age cohorts value retirement homes, thereby encouraging relevant housing strategies to enhance the quality and support systems of retirement homes in society.

The idea of value co-creation involves the benefit actors gain from integrating resources through activities and interactions within a service network, with the environment enabling high-quality collaboration. This paradigm highlights customers’ ability to co-create value with service providers and other customers. This idea is gaining traction in health care. These days, patients are no longer passive recipients of health-care services; rather they have started taking proactive roles in their self-health management. This study aims to understand the phenomenon of value co-creation among patients within online health communities (OHCs).

A systematic literature review of papers published from 2003 to 2024 in Web of Science-indexed journals was conducted. The review highlights theories, contexts, characteristics and methodologies in this area, synthesizing insights from previous research and presenting a future research agenda for underexplored and unexplored contexts using emerging theoretical perspectives and analytical methodologies.

The review illuminates theoretical and empirical studies on value co-creation among patients in OHCs. Previous research shows that value co-creation among patients leads to cognitive, affective and physical benefits such as reduced anxiety and stress, increased assurance and self-confidence, improved quality of life, enhanced patient empowerment, acceptance of disease and treatment effectiveness and a sense of self-worth and well-being.

This review synthesizes insights from previous works and outlines a research agenda for future studies in underexplored and unexplored contexts using new theoretical perspectives and methodologies. Considering the role social media plays in an individual’s life, this work will help in deep diving into the role of such online communities in the health-care sector.