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This study aims to endeavour to decode artificial intelligence (AI)-based tokens' complex dynamics and predictability using a comprehensive multivariate framework that integrates technical and macroeconomic indicators.

In this study we used advance machine learning techniques, such as gradient boosting regression (GBR), random forest (RF) and notably long short-term memory (LSTM) networks, this research provides a nuanced understanding of the factors driving the performance of AI tokens. The study’s comparative analysis highlights the superior predictive capabilities of LSTM models, as evidenced by their performance across various AI digital tokens such as AGIX-singularity-NET, Cortex and numeraire NMR.

This study finding shows that through an intricate exploration of feature importance and the impact of speculative behaviour, the research elucidates the long-term patterns and resilience of AI-based tokens against economic shifts. The SHapley Additive exPlanations (SHAP) analysis results show that technical and some macroeconomic factors play a dominant role in price production. It also examines the potential of these models for strategic investment and hedging, underscoring their relevance in an increasingly digital economy.

According to our knowledge, the absence of AI research frameworks for forecasting and modelling current aria-leading AI tokens is apparent. Due to a lack of study on understanding the relationship between the AI token market and other factors, forecasting is outstandingly demanding. This study provides a robust predictive framework to accurately identify the changing trends of AI tokens within a multivariate context and fill the gaps in existing research. We can investigate detailed predictive analytics with the help of modern AI algorithms and correct model interpretation to elaborate on the behaviour patterns of developing decentralised digital AI-based token prices.

Acceptance and use of mobile shopping as the preferred shopping medium is becoming the new normal today. The proliferation of mobile shopping practices follows unsteady growth patterns in different countries. Despite challenges of price, quality and privacy matters, young consumers still lead the race to engage in mobile shopping activity in developing countries. This research investigates the determinants that either support or hinder the mobile shopping intentions of aspirant young consumers in Pakistan.

The present research applies a consumer-centric approach to the technology adoption framework to unearth the behavioral patterns of these young consumers in Pakistan. Employing the structural equation modeling technique, this research examines the significant effect of structural assurance, perceived risk, trust and various unified theory of acceptance and use of technology (UTAUT) model constructs on behavioral intention to engage in mobile shopping.

This research examines the significant effect of structural assurance, perceived risk, trust and various UTAUT model constructs on behavioral intention to engage in mobile shopping. Results also demonstrate a significant moderating effect of structural assurance and prior shopping experience on the relationship between perceived risk, trust and mobile shopping intentions. Further, the mobile shopping patterns for the male and female segment indicate a significant difference for perceived risk, trust structural assurance and social influence. The research contributes to the growing body of knowledge which advocates the application of consumer-centric customized model approach to explore various factors that either facilitate or impede the adoption of mobile shopping in a developing economy.

The study validates the need to enforce structural assurance mechanism for facilitating mobile shopping in a developing country. It also offers practical implications for online businesses and marketers striving to attract and retain more mobile customers.

The study offers practical implications for online businesses and marketers striving to attract and retain more mobile customers.

This study offers fresh insights about driving elements and impediments of mobile shopping behavioral intentions. Structural assurance and prior shopping experience appear to influence the mobile shopping behavior through direct and indirect effect.

The current study aims to investigate the impact of coworker ostracism on coworker-directed knowledge hiding through the mediating role of relational social capital and moderating role of alternate belongingness in Pakistani higher educational settings.

A time-lagged study was carried out in which data from teaching and non-teaching faculty (N = 217) from the higher education sector of Lahore, Pakistan, were collected through multi-stage sampling. The collected data were analysed using moderated mediation analysis (PROCESS model 4 and 7).

The results revealed that ostracism from coworkers has an unfavourable impact on relational social capital that in turn promotes knowledge hiding. Nonetheless, if ostracized employees had sources to fulfil belongingness needs outside the work settings, this negative association was strengthened.

The authors have taken the role of belongingness outside the workplace in explaining the coworker ostracism and knowledge hiding relationship in higher educational settings and identified the explanatory role of relational social capital.

Organizations are facing several challenges in the current challenging business environment. The current study explores how counterproductive work behavior (CWB) affects bio-medical companies' firm performance in Pakistan. The study considers the mediating role of organizational culture and its impact on CWB and a firm's performance.

Data were collected through a self-administered questionnaire. For data collection, 300 questionnaires were distributed among employees working in biomedical companies. Statistical analysis such as descriptive statistics, Pearson moment correlation and structural equation modeling (SEM) techniques was used to analyze the study variable's relationship and its effect on the firm's performance.

The study results revealed that CWB and organizational culture significantly influence firm performance directly and indirectly. Moreover, organizational culture partially mediates the relationship between CWB and companies' performance.

The current study plays a significant role in the firm's policy directions. There are limited research and information accessible to biomedical firms in Pakistan. Counterproductive job habits wind up becoming something that significantly affects the firm performance. This research adds to human resource management, corporate management and the business strategy literature.

This study aims to present a unique hybrid metaheuristic approach to solving the nonlinear analysis of hall currents and electric double layer (EDL) effects in multiphase wavy flow by merging the firefly algorithm (FA) and the water cycle algorithm (WCA).

Nonlinear Hall currents and EDL effects in multiphase wavy flow are originally described by partial differential equations, which are then translated into an ordinary differential equation model. The hybrid FA-WCA technique is used to take on the optimization challenge and find the best possible design weights for artificial neural networks. The fitness function is efficiently optimized by this hybrid approach, allowing the optimal design weights to be determined.

The proposed strategy is shown to be effective by taking into account multiple variables to arrive at a single answer. The numerical results obtained from the proposed method exhibit good agreement with the reference solution within finite intervals, showcasing the accuracy of the approach used in this study. Furthermore, a comparison is made between the presented results and the reference numerical solutions of the Hall Currents and electroosmotic effects in multiphase wavy flow problem.

This comparative analysis includes various performance indices, providing a statistical assessment of the precision, efficiency and reliability of the proposed approach. Moreover, to the best of the authors’ knowledge, this is a new work which has not been explored in existing literature and will add new directions to the field of fluid flows to predict most accurate results.

This paper aims to provide a valid insight into consumers' minds while considering word of mouth (WOM), brand image and uniqueness as independent variables while considering the tourism industry as the primary stakeholder.

The study adopts qualitative research methods and data collected from 1,033 respondents using convenience sampling methodology. The data are collected from different tourists spots in China and Pakistan. The PROCESS macro was utilized in this study using SPSS version 25.0 to inspect the impacts by using Model 4 and the conditional effects indirectly by utilizing Model 14.

Customer's intimacy, search for novel and unexplored destinations highlight WOM interactions and perceived service value. Service value, interactional justice and professional attitude of hotel management mediated all the given relationships significantly. The brand image does not mediate any significant associations. Perceived service value and brand image predict customer's loyalty, and WOM is the direct measure of their intentions, and these variables are market trend indicators. A tourist's response toward different destinations is described in this study with comparative analysis of Chinese and Pakistani tourists. The study results showed a significantly positive relationship between hotel management professional behavior, customer's loyalty, customer's intimacy and WOM.

The recruited population might not be represented as the broader and larger visitor population, resulting in restricting establishing tactics. Moreover, this study's results provide significant insight into a tourism industry, hence providing a chance to manage customer loyalty better.

This study contributes significantly to the body of knowledge and provides remarkable insight from the managerial perspective. Interactional justice results in significant value for hotel management directors and top management, front desk staff and operatives and front level employees and managers. Consumer sensitivity of fairness in interpersonal dealings calls for behavioral changes in frontline employees, especially those directly dealing with hotel visitors. Hotel staff and management should formulate a system to deal with the demands and needs of visitors. It should describe the rights and obligations of visitors and ensure that each customer is treated equally and with respect. Customers should be motivated to read the survey questionnaires kept in their rooms and offer their views on the services provided. This strategy might increase the customers' sense of empowerment and leading to notions of fairness in individual encounters.

This study provides an insight into the customer's minds while considering essential variables that include WOM, brand image, perceived service value and uniqueness.

This study investigates the mediating role of working capital management (WCM) efficiency between board diversity (based on gender and financial knowledge) and firm performance. The study further examines which WCM approach (conservative, moderate, and aggressive) they employ to increase (decrease) firm performance.

The study employs listed energy firms of Pakistan over the period 2010 to 2019. The system generalized method of moments estimator and logit model are utilized to estimate the underlying relationships.

The results show that WCM efficiency partially mediates the relationship between board financial expertise (BFE) and firm performance. Nonetheless, the presence of female directors is merely symbolic until they reach a certain level as only the quadratic term of board gender diversity (BGD) has a significant effect on firm performance. Female directors do not influence WCM efficiency. The results also demonstrate that BGD encourages a conservative WCM approach, while BFE encourages a moderate WCM approach. Furthermore, both conservative and moderate WCM approaches are significantly associated with firm performance.

The findings hold implications for increasing the representation of women and financial experts on board to improve the capital structure decisions of the energy firms in Pakistan.

This study is the first attempt to explore the mediating role of WCM efficiency between board diversity and firm performance. To the best of the authors' knowledge, no previous study has investigated the effect of BGD and BFE on different WCM approaches distinctly.

This study investigated the effects of reward system (RS) and job conditions (JC) on employee retention (ER). In particular, this study addressed the mediating effect of employee engagement (EE) on the relationship between RS, JC and ER.

This paper employed descriptive survey approach and the unit of analysis consisted of public hospital nursing staff. Data were collected using questionnaires with a sample of 370 nurse respondents. Structural equation modelling with Smart-Partial Least Squares (PLS) 3.3.8 was used in a statistical analysis.

The results revealed that RS and JC significantly related to ER. The study also showed the direct effect of RS and JC on EE. These findings indicate that (EE) has a partial mediating role in the relationship between RS, JC and ER.

The study offers important policy insights for public nursing stakeholders who seek to increase retention of skills among their nursing staff. The findings are also crucial because they may help the health sector improve their ER strategies, especially in dynamic and competitive business situations where organisations are challenged to retain personnel from a limited skilled workforce.

The findings of this study contribute to the literature on retention of nursing employees by enhancing the understanding of the influences of EE, RS and JC on ER among public hospitals.

The purpose of this paper was to examine whether or not the sponsor lock-up ratio, lock-up period, regulation changes and interaction variable (oversubscription [OSR]) affected initial public offering (IPO) initial return.

A complete sample of 111 listed IPOs in Pakistan stock exchange from 1996 to 2018 was incorporated. Based on the cross-section data, this paper estimated using ordinary least square and quantile least square for robustness. In addition to that, this paper estimated the data using stepwise least square to inspect the signalling aspect of the lock-up ratio, lock-up period and regulation changes on IPO initial return.

This study showed that the lock-up ratio, lock-up period and regulatory changes had a positive impact on the IPO’s initial return. Furthermore, the assertion of interaction variable (regulation changes × OSR) and (lock-up period × OSR) was a negatively significant factor in influencing the IPO’s initial return. The results of this paper were robust to endogeneity bias.

The finding of this study proposed that sponsors of IPOs can be a strong signal of risk or quality, which was consistent with the signalling theory prediction. Concurrently, investors must be aware of the total proportions of lock-up ratio so that they can estimate the chances of getting the highest initial return on IPOs. From the regulators’ point of view, it is suggested that the lock-up ratio and the lock-up period should be determined with a deeper understanding and incorporated into the equity guidelines as it is evident that these factors are priced by the market.

Studies on the effect of sponsors have always been centred on well-recognized firms. Therefore, using the IPO samples listed in Pakistan, this paper contributes to the IPO literature by investigating the lock-up ratio of the sponsor, the lock-up period and the regulatory changes to the initial IPO return. Additionally, OSR has been introduced as an interaction variable among the sponsors’ lock-up period and regulations changes to explain the ongoing IPO initial return phenomenon.

This paper aims to discuss the salient aspects of the Darcy–Forchheimer flow of viscous liquid in carbon nanotubes (CNTs). CNTs are considered as nanofluid, and water is taken as the continuous phase liquid. The flow features are discussed via curved surface. Water is taken as the base liquid. Flow is generated via nonlinear stretching. Energy expression is modeled subject to heat generation/absorption. Furthermore, convective conditions are considered at the boundary. The Xue model is used in the mathematical modeling which describes the features of nanomaterials. Both types of CNTs are considered, i.e. single-walled CNTs and multi-walled CNTs.

Appropriate transformations are used to convert the flow expressions into dimensionless differential equations. The bvp4c method is used for solution development.

Velocity enhances via higher estimations of nanoparticles volume fraction while decays for higher Forchheimer number, curvature parameter, behavior index and porosity parameter. Furthermore, thermal field is an increasing function of nanoparticle volume fraction, behavior index, Forchheimer number and porosity parameter.

Here, the authors have discussed two-dimensional CNTs-based nanomaterial Darcy–Forchheimer flow of viscous fluid over a curved surface. The authors believe that all the outcomes and numerical techniques are original and have not been published elsewhere.