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Automation and the new buzzword, “Industry 4.0”, have dominated the media headlines in recent months. In this scenario, apparel manufacturers should not only install automatic machines but also standardise them based on specific industry requirements, and precise measures are required for daily target demands.

This study demonstrates the application of Predetermined Motion and Time System (PMTS) tools in various automatic and semiautomatic machines to obtain higher productivity and the highest utilisation percentage of operator and automats between the 1:1 and 1:2 man vs machine configuration models. In this study, timeSSD® was used to calculate the micro motions of humans. In addition, a video annotation and modelling software Tracker was used to calculate high-speed machine movements with loading frames of 30 FPS.

After the implementation of PMTS tools, it was found that for a 1:1 man vs machine configuration, the operator utilisation is 75% per shift and the operator idle time is 50% per cycle time, and the operator is sitting idle for 2 h per 8 h of shift. So, there is scope to improve the utilisation and idle time of operator.

With the PMTS software, an industrial engineer professional with knowledge of the micromotion economy can only calculate micromotion.

Exploring the first time in the world to establish standard allowed minute (SAM) of a partly automated single-unit sewing machine with partial human intervention and a semiautomatic machine. Theoretical underpinnings indicate that manufacturers use the experience to determine the SAM of any operation over time, necessitating this work to calculate standard minutes automatically.

This study is designed to examine the dynamic interrelationships between four cryptocurrencies (Bitcoin, Ethereum, Dogecoin and Cardano) and the Indian equity market. Additionally, the study seeks to investigate the potential safe haven, hedge and diversification uses of these digital currencies within the Indian equity market.

This study employs the wavelet approach to examine the time-varying volatility of the studied assets and the lead-lag relationship between stocks and cryptocurrencies. The authors execute the entire analysis using daily data from 1st October 2017 to 30th September 2023.

The result of the study shows that financial distress due to the pandemic and the Russian invasion of Ukraine have a negative effect on the Indian equities and cryptocurrency markets, escalating their price volatility. Also, the connectedness between the returns of stock and digital currency exhibits a strong positive relationship during periods of financial distress. Additionally, cryptocurrencies serve as a tool of diversification or hedging in the Indian equities markets during normal financial circumstances, but they do not serve as a diversifier or safe haven during periods of financial turmoil.

This study contributes to understanding the relationship between the Indian equity market and four cryptocurrencies using wavelet techniques in the time and frequency domains, considering both normal and crisis times. This can offer valuable insights into the potential of cryptocurrencies inside the Indian equities markets, mainly with respect to varying financial conditions and investment horizons.

Owing to highly volatile and chaotic external events, predicting future movements of cryptocurrencies is a challenging task. This paper advances a granular hybrid predictive modeling framework for predicting the future figures of Bitcoin (BTC), Litecoin (LTC), Ethereum (ETH), Stellar (XLM) and Tether (USDT) during normal and pandemic regimes.

Initially, the major temporal characteristics of the price series are examined. In the second stage, ensemble empirical mode decomposition (EEMD) and maximal overlap discrete wavelet transformation (MODWT) are used to decompose the original time series into two distinct sets of granular subseries. In the third stage, long- and short-term memory network (LSTM) and extreme gradient boosting (XGB) are applied to the decomposed subseries to estimate the initial forecasts. Lastly, sequential quadratic programming (SQP) is used to fetch the forecast by combining the initial forecasts.

Rigorous performance assessment and the outcome of the Diebold-Mariano’s pairwise statistical test demonstrate the efficacy of the suggested predictive framework. The framework yields commendable predictive performance during the COVID-19 pandemic timeline explicitly as well. Future trends of BTC and ETH are found to be relatively easier to predict, while USDT is relatively difficult to predict.

The robustness of the proposed framework can be leveraged for practical trading and managing investment in crypto market. Empirical properties of the temporal dynamics of chosen cryptocurrencies provide deeper insights.

This study aims to provide empirical evidence on two research questions: firstly, whether green finance is positively related to electricity access, and, secondly, if the domestic economic environment moderates the relationship between green finance and electricity access? This paper pays particular attention to the regional disparities in Africa.

While pursuing the study objectives, the authors apply a variety of statistical approaches and tools to assess the robustness of the findings. The authors use panel dataset for analysing data. In order to empirically examine the relationship between green finance and electricity access in the African region, the paper employs static and dynamic panel estimation methods, Poisson method and adopts two-step system generalized method of moments (GMM) approach for dealing with issues relating to endogeneity. The authors also use alternate proxy for the electricity access, which is drawn from the regulatory indicators for sustainable energy (RISE) scores.

The authors find that despite the fact that green funding appears to support job creation, household incomes aren't high enough to drive rising demand for electricity. The study underscores the role and responsibilities of external funding agencies to ensure that funds at the receiving end are effectively routed to encourage access to clean and sustainable energy, which is good to the economic and domestic environment. Further, due to the relatively modest size of some funds, the cost to administer those funds is larger than the funds themselves. This causes inefficiencies, which may temporarily provide jobs but not lasting growth. This means there is no regular need for energy, therefore larger investors have no reason to enter the market. This discourages investors from public-private partnerships or private investments and prevents future investment.

The provide insights into the private-public partnerships and whether the challenges to electricity access are being turned into investment opportunities. The effects of the power Africa project initiatives are revealing, with, sanitation being an impediment to the development of electricity infrastructure, specifically in low-income group countries.

The study confirms the view that trivial amounts of green financing (US-Aid or grants) impose a burden on the absorptive capacity of the recipient government and increases the transaction costs and is likely to be an impediment (Kimura et al., 2012) to initiating projects that enhance electricity access.

The results indicate that although green financing seems to be supporting employment opportunities, income levels are insufficient to create demand for electricity usage. It, therefore, becomes imperative that sanitation (SDG 6) is fully addressed in order to ensure that SDG 7 is attained.

The authors provide insights around the private public partnerships and whether the challenges to electricity access are being turned into investment opportunities. The effects of the power Africa project initiatives are revealing, with, sanitation being an impediment to the development of electricity infrastructure, specifically in low-income group countries.

Postneonatal mortality (PNM), which differs from infant and perinatal mortality, has been observed in the past 25 years with respect to the health outcomes of children. While infant and perinatal mortality have been well-evaluated regarding racial differentials, there are no substantial data on PNM in this perspective. The purpose of this study was to assess whether or not social determinants of health adversely affect racial/ethnic PNM differentials in the USA.

A cross-sectional, nonexperimental epidemiologic study design was used to assess race as an exposure function of PNM using Cohort Linked Birth/Infant Death Data (2013). The outcome variable assessed PNM, while the main independent variables were race, social demographic variables (i.e. sex and age) and social determinants of health (i.e. marital status and maternal education). The chi-square statistic was used to assess the independence of variables by race, while the logistic regression model was used to assess the odds of PNM by race and other confounding variables.

During 2013, there were 4,451 children with PNM experience. The cumulative incidence of PNM was 23.6% (n = 2,795) among white infants, 24.3% (n = 1,298) among Black/African-Americans (AA) and 39.5% (n = 88) were American-Indian infants (AI), while 21.3% (n = 270) were multiracial, χ² (3) = 35.7, p < 0.001. Racial differentials in PNM were observed. Relative to White infants, PNM was two times as likely among AI, odds ratio (OR) 2.11 (95% confidence interval [CI] 1.61, 2.78). After controlling for the confounding variables, the burden of PNM persisted among AI, although slightly marginalized, adjusted odds ratio (aOR) 1.70, (99% CI 1.10, 2.65).

In a representative sample of US children, there were racial disparities in PNM infants who are AI compared to their white counterparts, illustrating excess mortality. These findings suggest the need to allocate social and health resources in transforming health equity in this direction.

The manufacture of polymer composites with a lower environmental footprint requires incorporation of sustainably sourced components. In addition, the incorporation of novel components should not compromise the material properties. The purpose of this paper is to demonstrate the use of a synthetic amine functional toluidine acetaldehyde condensate (AFTAC) as a modifier for fiber-reinforced epoxy composites. One of the fiber components was sourced from agricultural byproducts, and glass fiber was used as the fiber component for comparison.

The AFTAC condensate was synthesized via an acid-catalyzed reaction between o-toluidine and acetaldehyde. To demonstrate its efficacy as a toughening agent for diglycidyl ether bisphenol A resin composites and for the comparison of reinforcing materials of interest, composites were fabricated using a natural fiber (mat stick) and a synthetic glass fiber as the reinforcing material. A matched metal die technique was used to fabricate the composites. Composites were prepared and their mechanical and thermal properties were evaluated.

The inclusion of AFTAC led to an improvement in the mechanical strengths of these composites without any significant deterioration of the thermal stability. It was also observed that the fracture strengths for mat stick fiber-reinforced composites were lower than that of glass fiber-reinforced composites.

To the best of the authors’ knowledge, the use of the AFTAC modifier as well as incorporation of mat stick fibers in epoxy composites has not been demonstrated previously.

Positive experiences with working from home (WFH) during the Corona pandemic (COVID-19) have motivated many employees to continue WFH after the pandemic. However, factors influencing employees' WFH intentions against the backdrop of experiences during pandemic-induced enforced working from home (EWFH) are heterogeneous. This study investigates factors linked to information technology (IT) professionals' WFH intentions.

This mixed-methods study with 92 IT professionals examines the effects of seven predictors for IT professionals' WFH intentions. The predictors are categorized according to the trichotomy of (1) characteristics of the worker, (2) characteristics of the workspace and (3) the work context. Structural equation modeling is used to analyze the quantitative survey data. In addition, IT professionals' responses to six open questions in which they reflect on past experiences and envision future work are examined.

Quantitative results suggest that characteristics of the worker, such as segmentation preference, are influencing WFH intentions stronger than characteristics of the workspace or the work context. Furthermore, perceived productivity during EWFH and gender significantly predict WFH intentions. Contextualizing these quantitative insights, the qualitative data provides a rich yet heterogeneous list of factors why IT professionals prefer (not) to work from home.

Reasons influencing WFH intentions vary due to individual preferences and constraints. Therefore, a differentiated organizational approach is recommended for designing future work arrangements. In addition, the findings suggest that team contracts to formalize working patterns, e.g. to agree on the needed number of physical meetings, can be helpful levers to reduce the complexity of future work that is most likely a mix of WFH and office arrangements.

This study extends literature reflecting on COVID-19-induced changes, specifically the emerging debate about why employees want to continue WFH. It is crucial for researchers and practitioners to understand which factors influence IT professionals' WFH intentions and how they impact the design and implementation of future hybrid work arrangements.

The purpose of this paper is to research the impact of digitalization on employees' future competencies and the conditional role of human resource development (HRD) in the relationship between independent and dependent variables.

Empirical research covered 1209 enterprises from all of Slovakia, Poland and the Czech Republic. The research was conducted from 2019 to 2021. Using structural equation modeling (SEM), a theoretical model was tested and verified.

Confirmatory factor analysis has shown a good fit for the tested model. The purpose and character of our data showed a good alignment with the SEM partial least squares method, as the goal is to predict a construct. The model showed that employee-oriented digitalization positively affected the employees' future competencies, with no impact of customer-oriented digitalization treated as a control variable. Also, the moderating role of HRD has not been shown to be significant for the “digitalization – competencies” relationship.

Previous studies on the development of personnel competencies treated these competencies as antecedents of digital transformation and examined the formal role of HRD in building the competencies. The novelty of this study lies in exploring the pattern of interactions among the impact of an environment built by innovative technologies and HRD on the competencies of the future. Also, the research embedded in the environment of Poland, the Czech Republic and Slovakia has contributed to the complex understanding of the transition to digitalization, as this region has often been omitted in the field of human resource management (HRM) research focused on exploring digital transformation.

Integrating the theory of consumption value into the stimulus-organism-response framework, this study aims to analyse the influence of external and internal factors on the customers’ perceptions of utilitarian, hedonic, social and epistemic values as drivers of the overall perceived value and customers’ continuance use of mobile banking (m-banking).

An online survey was conducted with 252 actual m-banking users, and the partial least squares structural equations modelling was applied to analyse the data.

The results reveal that ubiquity and gamification positively influence the perceived usefulness and entertainment, that is the utilitarian and hedonic perceived values. Furthermore, users’ self-congruence and innovativeness affect subjective norms and novelty-seeking, representing social and epistemic values. Except for the hedonic value, each value element impacts the overall perceived value, which in turn incites clients’ intention to continue using m-banking services.

By exploring the simultaneous effect of service-related and personal factors (stimuli) on different elements of perceived value (organism), this study contributes to the existing knowledge of consumption reactions (response) in the context of m-banking. The research of the Macedonian m-banking offers a closer insight into Western Balkan mobile commerce.

Integrando la Teoría del Valor de Consumo (TCV) en el marco Estímulo-Organismo-Respuesta (S-O-R), este estudio pretende analizar la influencia de factores externos e internos en las percepciones de valor utilitario, hedónico, social y epistémico de los clientes, como impulsores del valor percibido global y del uso continuado del m-banking por parte de los clientes.

Se realizó una encuesta en línea a 252 usuarios reales de banca móvil y se aplicó el modelo de ecuaciones estructurales por mínimos cuadrados parciales (PLS-SEM) para analizar los datos.

Los resultados revelan que la ubicuidad y la gamificación influyen positivamente en la utilidad y el entretenimiento percibidos, es decir, en los valores utilitarios y hedónicos percibidos. Además, la autocongruencia y la capacidad de innovación de los usuarios afectan a las normas subjetivas y a la búsqueda de novedades, que representan el valor social y epistémico. A excepción del valor hedónico, cada elemento de valor influye en el valor percibido global, que a su vez incita a los clientes a seguir utilizando los servicios de banca móvil.

Al explorar el efecto simultáneo de factores personales y relacionados con el servicio (estímulos) sobre diferentes elementos del valor percibido (organismo), contribuimos al conocimiento existente sobre las reacciones de consumo (respuesta) en el contexto del m-banking. La investigación del m-banking macedonio ofrece una visión más cercana del comercio móvil de los Balcanes Occidentales.

本研究将消费价值理论（TCV）纳入刺激-组织-反应（S-O-R）框架, 旨在分析外部和内部因素对客户感知功利价值、享乐价值、社会价值和认识价值的影响, 这些因素是客户整体感知价值和持续使用移动银行的驱动因素。

对 252 名实际移动银行用户进行了在线调查, 并采用偏最小二乘法结构方程模型（PLS-SEM）分析数据。

结果表明, 普遍性和游戏化对用户的有用性和娱乐性感知, 即功利性和享乐性感知价值有积极影响。此外, 用户的自我一致性和创新性也会影响主观规范和新奇寻求, 这代表了社会价值和认识价值。除享乐价值外, 每个价值要素都会影响整体感知价值, 进而激发客户继续使用移动银行服务的意愿。

通过探索服务相关因素和个人因素（刺激）对感知价值不同要素（有机体）的同时影响, 我们为现有的有关移动银行背景下消费反应（响应）的知识做出了贡献。通过对马其顿移动银行的研究, 我们可以更深入地了解西巴尔干移动商务。

Increasing the need for education for sustainable development in universities requires an understanding of the predictors of students’ environmental concern (EC). In this paper, the authors focus on the EC of business students because of their future responsibility for business operations regarding the exploitation of natural resources. The aim of the study is to examine the predictors of business students’ environmental concern.

Based on the Norm Activation Model as the theoretical framework, this study hypothesizes the model of EC with two main predictors: ascription of responsibility for the environment (AOR), driven by locus of control and self-efficacy (LC/SE), and awareness of positive consequences of consumption reduction on the environment (AOC), driven by perceived environmental knowledge. Structural equation modelling was applied to confirm the conceptual model based on the responses of business students from six countries (Czech Republic, Croatia, Hungary, Poland, Slovakia and Spain) collected through an online survey.

The environmental concern of business students is predicted both by the ascription of responsibility and by awareness of consequences; however, the ascription of responsibility is a stronger predictor of EC. A strong impact was found for internal locus of control and self-efficacy on AOR, as well as a weaker influence of perceived environmental knowledge on AOC.

Sustainability education dedicated to business students should provide environmental knowledge and strengthen their internal locus of control and self-efficacy in an environmental context.