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The recommended public healthcare infrastructure and human resources are essential to deliver healthcare services, particularly in tribal areas, as the country’s tribal population depends mainly on the public healthcare system for their medical needs. India has a substantial share of the tribal population, accounting for approximately 9% of the total population. The paper reviews the state of public healthcare infrastructure and human resources in tribal areas for a period that spreads over a decade.

The paper relied on data from the Government of India’s Rural Health Statistics (RHS) reports (2011–2012 and 2021–2022). From these reports, data on the physical infrastructure and human resources in the tribal areas were extracted. The extracted data were compiled and analyzed using Microsoft Excel.

The analysis showed that the improvement in public healthcare infrastructure and human resource situation in tribal areas of the country was not commensurate with the tribal population growth seen in the last decade. As a result, the average population covered by a health facility was greater than the prescribed norms in the tribal-dominated geographies. The health worker-population ratio at the primary healthcare level was also higher than the national norms. However, there was a substantial improvement in the doctor-population ratio at the primary health center level. In comparison to tribal-lean states, tribal-dominated states faced the concurrent challenge of a growing population and strained healthcare facilities and human resources. As a result, the healthcare infrastructure and human resource gap continued in the tribal-dominated states of the country. The gaps in health infrastructure and human resources in tribal-dominated states must be addressed as a priority under the health infrastructure strengthening efforts to ensure that the tribal population receives and has access to quality health care from publicly funded health facilities, leading to improved health outcomes in the tribal population and the achievement of the sustainable development goals (SDGs).

We have not come across any paper that has carried out pancountry analysis of healthcare infrastructure and human resources in tribal areas.

This study aims to examine the characteristics of pregnant women who used methamphetamine to determine the differences in characteristics between teenagers (aged under 20 or 20–25 years) and adult women who used methamphetamine during this period.

This retrospective study extracted data from the medical records of obstetric patients who gave birth between 2011 and 2015 in a tertiary hospital in Thailand. All included patients were diagnosed with amphetamine use disorder. Demographic data, history of antenatal care, history of substance use and psychiatric evaluations were recorded.

Four hundred and twelve patients were recruited for analysis. Of these, 194 (53.4%) did not attend regular antenatal care, 326 (92.1%) had unplanned pregnancies and 42 (12.5%) had a history of abortions. Socially, 47 patients (21.7%) reported drug use in their families and 160 (49.5%) reported a history of parental separation. Compared with the adult and 20–25 years groups, the < 20 years group tended to have a lower educational level, have experienced parental separation and had more regular antenatal care.

Pregnant teenagers with methamphetamine use had psychosocial difficulties. Physicians should be aware of these psychosocial issues, including education and family planning.

These findings showed that pregnant women who used methamphetamine faced psychosocial difficulties, unplanned pregnancies and inadequate antenatal care. Adult and teenage pregnant women who used methamphetamine differed in some ways. For example, teenage pregnant women tended to be of a lower education level, experienced parental separation and had a history of more frequent antenatal care. Further longitudinal research exploring the outcomes of mothers who used methamphetamine and their children is needed to build on the existing evidence.

Diabetes is one of the most prevailed chronic diseases in the world. Pro-inflammatory cytokines play a key role in the type 2 diabetes mellitus. Pomegranate seed oil (PSO) has potential anti-inflammatory properties. The purpose of this study is to evaluate the antidiabetic effects of the use of PSO on the expression of peroxisome proliferator-activated receptor-gamma (PPAR-γ), pro-inflammatory biomarkers and lipid profile levels in obese type 2 diabetic patients.

In total, 52 patients were randomly assigned to the PSO (n = 26) and placebo (n = 26) groups. Subjects received daily PSO 3 g placebo (paraffin) in 1 g soft-gel capsules (along with breakfast, lunch and dinner meals) for eight weeks.

Serum levels of fasting blood sugar (FBS) decreased from 161.46 ± 34.44 to 143.50 ± 24.2 mg/dL (p = 0.008), IL-6 decreased from 5.17 ± 2.25 to 4.52 ± 1.90 (p = 0.049) and tumor necrosis factor alpha (TNF-α) significantly decreased from 9.17 ± 4.13 to 7.74 ± 2.44 pmol/mL in PSO group (p = 0.030). However, changes in the expression of PPAR-γ gene, serum levels of hs-CRP and lipid profile levels were not significant.

Lack of PSO concentration measurements and the short duration of the study were the key limitations. Future randomized clinical trials with a longer period of follow-up are needed to assess the potential anti-diabetic effects of PSO.

Administration of PSO in obese type 2 diabetic patients reduced the levels of FBS, interleukin 6 and TNF-α; nevertheless, changes in the insulin, lipid profiles and hs-CRP were not significant.

This paper aims to present a literature review on the emerging field of employee moonlighting, which refers to holding more than one job at a time. It also attempts to integrate the literature on employee moonlighting and present the related research themes.

This is a systematic literature review (SLR) using the basic guidelines of SLR. A search string is designed, and the prominent database is searched. The results are screened based on self-designed inclusion and exclusion criteria. The qualitative analysis of selected 89 research studies uses inductive thematic analysis and proposes a framework.

The outcome of the present study consists of a conceptual framework, themes and sub-themes related to employee moonlighting, propositions, and the pictorial representation of the overall outcome. The four key themes that emerged are determinants and traits of moonlighting intentions, the impact of moonlighting on employer and employee, policy, and economic implications, respectively.

The study provides insight into the factors that lead to moonlighting intentions and activity. The managers can understand and analyze these factors and can formulate policies to streamline the moonlighting activity with the organizational goals and for the company’s benefit. Academic scholars can adopt some research ideas from the themes and gaps suggested and can work on them in the near future.

This study aims to identify the impact of intellectual capital (IC) on the bank’s performance using a cross-country approach with India and Gulf Cooperation Council (GCC) countries using the Skandia navigator model (SNM).

This study uses a mixed-methods research approach by taking financial and non-financial measures to assess the impact of the IC on the bank’s performance using the SNM. The study implies an analysis of the data from the top ten banks in India and twenty banks in GCC countries. The selection was done based on the volume of the bank’s business for three years (2019–2020, 2020–2021 and 2021–2022).

The research has three main findings: there is a positive impact of IC on the bank’s performance; amongst the factors of SNM, there is a direct impact of human capital and customer focus on the performance of the selected banks in both India and GCC countries; and the other factors of SNM such as structural capital and process focus, renewal and development focus also affect the selected banks.

The outcomes of the research may be useful for policymakers in India and GCC countries, as it identifies IC components that have a significant impact on the bank’s performance. This might enable them to develop policies that foster such factors, which, consequently, will improve the performance of the banks in the selected countries.

This study is an attempt to fill the gap in the existing literature on IC and bank’s performance for two different types of countries using the SNM.

This paper aims to examine how social comparison (SC) and belief in karma (KA) encourage materialism (MAT) and promote consumers’ life satisfaction (LS).

Two studies were conducted with Indian middle class consumers to test the basic premises of the current research. The first one used a survey (N = 247), while the second one used an experimental design (N = 206).

The survey results showed that SC and belief in KA promoted MAT amongst Indian consumers and further enhanced their LS. Findings from the experiment revealed a novel two-way interaction, in that the KA–MAT relationship was moderated by the underlying motivation for MAT.

Future research may validate and extend our findings using different samples to increase external validity.

By explaining the interactive effects of MAT, its underlying motivation and belief in KA, managers will gain a better understanding of why consumers in an emerging market like India purchase conspicuous products.

This is the first paper to study how the KA–MAT relationship influences LS amongst consumers in the world’s fastest-rising economy. Furthermore, no prior research has reported a boundary condition for the KA–MAT relationship studied here. The findings contribute to an extremely limited body of literature on KA and consumption.

The artificial intelligence (AI) based total productive maintenance (TPM) condition based maintenance (CBM) approach through Industry 4.0 transformation can well predict the breakdown in advance to eliminate breakdown.

Meeting the customer requirement as per the delivery schedule with the existing resources are always a big challenge in industries. Any catastrophic breakdown in the equipment leads to increase in production loss, damage to machines, repair cost, time and affects delivery. If these breakdowns are predicted in advance, the breakdown can be addressed before its occurrence and the demand supply chain can be met. TPM is one of the essential operational excellence tool used in industries to utilize the existing resources of a plant in a optimal way. The conventional time based maintenance (TBM) and CBM approach of TPM in Industry 3.0 is time consuming and not accurate enough to achieve zero down time.

The proposed AI and IIoT based TPM is achieved in a digitalized data oriented platform to monitor and control the health status of the machine which may reduce the catastrophic breakdown by 95% and also improves the quality rate and machine performance rate. Based on the identified key signature parameters related to major breakdown are measured using the sensors, digitalised by programmable logic controller (PLC) and monitored by supervisory control and data acquisition (SCADA) and predicted in server or cloud.

Long short term memory based deep learning network was developed as a regression forecasting model to predict the remaining useful life RUL of the part or assembly and based on the predictions, corrective action has been implemented before the occurrence of breakdown. The reliability and consistency of the proposed approach are validated and horizontally deployed in similar machines to achieve zero downtime.

Though there is consensus that mindfulness induces mindful consumption (MC), empirical testing is needed to uncover the mechanism underlying temperance behaviour in the MC model proposed by Sheth et al. (2011). The role of mindful advertising in influencing MC needs deeper investigation. The purpose of this research paper is to bridge the gap.

The relationship between mindfulness and temperance in consumption was investigated using an online simulation. Mindful advertising by Patagonia, with a message to buy less yet demand organic, fair-trade and recycled products, was introduced as a moderator in experimental group one. The second group was exposed to an aspirational advertisement of Tommy Hilfiger, symbolic of consumption-driving communication.

Not buying any brands was the uppermost preference by the participants followed by Patagonia, which used a mindful advertisement. Tommy Hilfiger was a distant third despite using an aspirational advertisement. A predictive relationship between mindfulness and temperance in consumption remained elusive.

Consumer purchase decisions favouring mindfully advertised Patagonia make a strong business case for nurturing a mindful mindset and promoting mindful behaviour. The customer-centric sustainability strategy of caring for the people and the planet beforehand should take precedence over corporate social responsibility which is usually an afterthought.

Measuring mindfulness and MC, two constructs combined in one experimental design, using a simulation built around real-life marketing communication distinguishes this research paper.

This paper aims to bring in augmented reality (AR) into navigation systems to rectify the issues mentioned. This paper proposes an AR enhanced navigation system for location automated teller machine (ATM) counters (AR-ATM) and branches of banks based on user’s choice. Upon selecting the ATM, the navigational path to the destination is drawn from the current location, thereby the user can reach the ATM through the optimal path.

Traditional navigation systems require users to map with the real world environment as and when required and also may lead to incorrect path due to minor difference in distance. The traditional navigation systems’ also does not take into consideration the ergonomics and safety of the user.

In this system, a camera lens is used, which is directed down the street at eye level and the application displays the location of ATMs and bank branches and also provides information about the locations like distance and time through the AR superimposed object.

The application also provides indoor navigation, especially in a multi-storeyed building. Experiments are performed on smartphones that support AR, and the results are promising with no lag in time frame of the real object and virtual object. To determine the factors that regulate the suggested AR tracking mechanism, a quantitative evaluation of the experimental data is also performed. The testing of implemented AR-ATM from the standpoint of end-users is undertaken to evaluate real-time usage comfortability, and the results have been determined to be extremely satisfactory.

The service sector is the key driver of a country’s economic growth. The quality of service is more important for the survival of any organization. It is the interactive process by which the organization understands the customer and satisfies their needs. The main purpose of this study is to identify the factors influencing service quality in ocean freight forwarding and to study the association between the factors.

This research uses a deductive approach, which understands the theory first and collects the data. A questionnaire is designed to collect the data. The sampling technique used is two-stage sampling. First, the freight forwarders are selected and then the customers, importers and exporters are selected randomly. Likert scales are used to measure quality factors such as tangibility, reliability, responsibility, value, empathy and assurance. The association of factors is empirically evaluated. The SPSS tool is used for the correlation analysis.

An extensive review of the literature has been done to study and identify these service quality factors influencing customer satisfaction and loyalty. The result of this extensive literature review revealed that tangibility, responsiveness, reliability, trust, empathy and value are the service quality. It has been proved that there exists a significant association between the service quality factors and is positively related to the customer satisfaction.

Some studies have examined the freight forwarders’ service quality, but not specifically related to any dimension. This study attempts to bring together the five dimensions of SERVQUAL scale and the value dimension evaluating the cost, freight charges, safety and security criteria in the industry and examines the association between the quality factors and customer satisfaction.