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IHRM identifies career adaptability and cross-cultural adjustment as the central tenants for expatriate career. The present study focuses on; (1) it employs the theoretical framework of career construction theory (CCT) to examine the relationship between adaptive readiness, resources and responses by examining the relationship between protean career orientation, career adaptability and cross-cultural adjustment of self-initiated expatriates (SIE) and (2) it explores the moderating role of frequency of interaction that SIEs possess with HCN.

A total of 278 Indian SIEs engaged in different occupational roles in different sectors, working in six different countries, i.e. United Arab Emirates, Canada, Germany, Singapore, the United Kingdom and the USA responded through primary survey.

Consistent with CCT conceptualization, the study illustrates a positive partial mediating effect of career adaptability on the direct relationship between protean career orientation and cross-cultural adjustment. Furthermore, the findings of the moderation analysis suggest that frequent interaction of the SIE facilitates the enhancing of cross-cultural adjustment.

The study suggests that lack of protean career orientation might result in lowering employee interest in the job or assignment, and affect effectiveness, satisfaction, productivity and cross-cultural adjustment. The study also recommends systematically increasing the interaction frequency with the HCNs to facilitate SIEs employees for facilitating cross-cultural adjustments (CCA).

The study theoretically and empirically contributes to protean career orientation and career adaptability in the context of expatriates, which is an enabling factor for CCA in job contexts. The relevance of interaction frequency is acknowledged for the adaptability and adjustments for the international workforce perspective.

The objectives of the paper were to develop a theoretical framework of the online shopping experiences (OSE) concept, identify its constituent dimensions and subdimensions, and propose and test a comprehensive measurement scale that would incorporate and reconcile existing fragmented approaches to the phenomenon.

This paper utilized a mixed-method approach to conceptualize a complex phenomenon of online shopping experiences (OSE). Study 1 employed the grounded theory approach to understand the phenomenon, propose its comprehensive definition and a conceptual model. Study 2 developed and tested a comprehensive OSE measurement scale.

The study conceptualized OSE as a second-order construct with four mutually-connected constituent dimensions of OSE: practices, context, values and emotions, and their respective 21 subdimensions. It developed and validated a comprehensive scale that is superior to earlier proposed fragmented measures of OSE.

The proposed theoretical framework can serve as a foundation for the OSE research stream and consolidate existing findings by providing a conceptual umbrella for different OSE aspects addressed in earlier research. The OSE measurement scale can be used to assess the impact of each OSE component on satisfaction and loyalty in different shopping situations.

The findings can assist retailers in evaluating usefulness of various tools in eliciting certain experiential effects, devising specific approaches to consumers at different touch points along their dynamic OSEs and developing engagement tactics for various shopping environments.

The study combined qualitative and quantitative approaches to offer a most comprehensive and unifying conceptualization and measurement instrument of OSEs.

Due to land resource scarcity, sustainable urban development in high-density cities has long been challenging. As such, many cities are formulating plans to “dig deep”, resulting in more citizens working and/or staying underground for longer periods of time. However, owing to the particularities of underground space, the factors involved in the creation of a healthy environment are different from those involved in aboveground developments. This study thus aims to investigate the influences of various underground environment factors on users' health through a holistic approach.

To achieve this aim, 12 underground sites and 12 corresponding aboveground sites are selected for a large-scale questionnaire survey, resulting in 651 survey samples. The survey covers post-occupancy evaluation of health (physical and psychosocial), underground environmental quality (visual, thermal, acoustic comfort, indoor air quality and ventilation), space design and greenery. Independent-sample T-test, Pearson correlation, multiple regression modelling and structural equation modelling are used to investigate whether significant differences exist between health of underground and aboveground users, and to develop an underground environment-health model for unveiling the significant associations between underground environment factors and users' health. To cross validate the results, an objective field measurement study is further conducted on six underground sites. The objective measurement results are used to cross validate the survey results.

The questionnaire results provide the following evidence: (1) health of underground users is significantly poorer than that of their aboveground counterparts; (2) underground development users' health is significantly affected by space design, greenery and environmental quality in terms of thermal comfort, indoor air quality, ventilation and acoustic comfort but not visual comfort; and (3) amongst the various identified factors, space design has the strongest predicting effects on human health. The field study echoes the survey findings and further unveils the relationships between different environmental factors and human health.

The results shed light on the importance of distinguishing between underground developments and aboveground ones in various guidelines and standards, especially those related to space management.

This work presents the results of a case study aimed at revitalizing an agricultural equipment manufacturing consortium facing prolonged losses. The purpose of this paper is to enhance productivity and profitability by identifying and eliminating waste within the manufacturing processes. The study uses lean principles and tools to achieve this objective.

The study begins with the creation of a questionnaire, administered to the consortium to gather insights. The questionnaire responses serve as a foundation for pinpointing critical areas in need of immediate attention. To tackle the challenge of demand forecasting without customer data, a demand forecasting model is introduced. Value stream mapping (VSM) is used to identify and highlight process inefficiencies and waste. The findings are further analyzed using a Pareto chart to prioritize waste reduction efforts. Based on these insights, the study proposes alternative manufacturing methods and waste elimination strategies. A multiphase lean framework is developed as a step-by-step roadmap for implementing lean manufacturing.

The study identifies a broken process flow within the consortium’s manufacturing processes and highlights areas of waste through VSM. The Pareto chart analysis reveals the most significant waste areas requiring immediate intervention. Recommendations for process improvements and waste reduction strategies are provided to the consortium.

This study contributes to the field by applying lean principles and tools to address the unique challenges faced by an agricultural equipment manufacturing consortium. The integration of a demand forecasting model and the development of a multiphase lean framework offer innovative approaches to enhancing productivity and profitability in this context.

The purpose of this paper is to ensure the anonymity and security of health data and improve the integrity and authenticity among patients, doctors and insurance providers. Simulation and validation algorithms are proposed in this work to ensure the proper implementation of the distributed system to secure and manage healthcare data. The author also aims to examine the methodology of Wireless Body Area Networks and how it contributes to the health monitoring system.

Wireless Body Area Network (WBAN) plays an important role in patient health data monitoring. In this paper, a novel framework is designed and proposed to generate data by the sensor machines and be stored in the cloud, and the transactions can be secured by blockchain. DNA cryptography is used in the framework to encrypt the hashes of the blocks. The proposed framework will ensure the anonymity and security of the health data and improve the integrity and authenticity among the patients, doctors and insurance providers.

Cloud Computing and Distributed Networking have transformed the IT industry and their amalgamation with intelligent systems would revolutionize the Healthcare Industry. The data being generated by devices is huge and storing it in the cloud environment would be a better decision. However, the privacy and security of healthcare data are still a concern because medical data is very confidential and desires to be safe and secure. The blockchain is a promising distributed network that ensures the security aspect of the data and makes the transactions authentic and transparent. In this work, the data is collected using various sensor devices and is transmitted to the cloud through the WBAN via the blockchain network.

In this paper, a framework for securing and managing the healthcare data generated by intelligent systems is proposed. As the data generated by these devices are heterogeneous and huge in nature, the cloud environment is chosen for its storage and analysis. Therefore, the transactions to and from the cloud are secured by using the blockchain-based distributed network.

The target end-users of our system are the patients to keep themselves informed and healthy, healthcare providers to monitor the conditions of their patients virtually, and the health insurance providers to have a track of the history of the patients, so that no fraudulent claims can be made.

The target end-users of our system are the patients for keeping themselves informed and healthy, healthcare providers for monitoring the conditions of their patients virtually and the health insurance providers to have a track of the history of the patients, so that no fraudulent claims can be made.

This study examines how different stacking sequences of bamboo and flax fibers, treated with 5% aqueous sodium hydroxide (NaOH) and filled with 6wt% titanium oxide (TiO₂), affect the physical, mechanical and dry sliding wear resistance properties of a hybrid composite.

Composites with different fiber stacking arrangements were developed and tested per American Society for Testing and Materials (ASTM) standards to evaluate physical, mechanical and wear resistance properties, focusing on the impact of flax fiber mats at intermediate and outer layers.

The hybrid composite significantly outperformed composites reinforced solely with bamboo fibers, showing a 65.95% increase in tensile strength, a 53.29% boost in flexural strength and a 91.01% improvement in impact strength. The configuration with multiple layers of flax fiber mat at intermediate and outer levels also demonstrated superior wear resistance.

This study highlights the critical role of stacking order in optimizing the mechanical properties and wear resistance of hybrid composites. The findings provide valuable insights for the design and application of advanced composite materials, particularly in industries requiring high performance and durability.

The purpose of this paper is to integrate consumer personality to fashion involvement, fashion-oriented impulse buying behavior, consumer emotions and hedonic consumption in the Indian context.

Based on a literature review of personality, fashion involvement, emotions, fashion-oriented impulse buying behavior and hedonic consumption, the authors formulated a conceptual model and subsequent hypotheses. Previously valid and reliable scales were used in the study. The data were collected through mall intercept survey with the sample consisting of respondents in the age group 20-45. Factor analysis and structural equation modeling were used as data analysis tools.

Major findings indicate a positive and significant effect of personality on positive emotions. The findings also confirm a significant and positive relationship between fashion involvement and hedonic consumption and hedonic consumption and fashion-related impulse buying behavior. Interestingly, positive emotions were found to mediate the relation between personality and fashion involvement.

The major implication of the present study is that impulse buying in fashion may be resultant of a complex network of interlinked constructs. One limitation is the restriction to the Indian context.

The findings note the need for creation of an experiential environment for a fashion shopper that could lead to positive emotions and subsequently impulse purchase.

The present study for the first time integrates constructs such as personality, emotions, involvement and impulse buying in the same conceptual model and tests it empirically.

This study aims to investigate the effect of slanted perforation diameter in tabs for the control of Mach 1.4 underexpanded supersonic jet flow characteristics.

Numerical investigation was carried out for NPR 5 to analyze the effect of slanted perforation diameter in tabs to control the Mach 1.4 jet. Four sets of tabs with slanted circular perforation geometries (Φ_p = 1, 1.5, 2 and 2.5 mm) were considered in this study. The inclination angle of 20° (α_P) with reference to the jet axis was maintained constant for all the four tabs considered.

Determined value indicates there is a 68%, 71%, 73% and 75% drop in supersonic core for the Φ_p = 1, 1.5, 2.0 and 2.5 mm, respectively. The results show that the tabs with 2.5 mm perforation diameter were found to be efficient in reducing the supersonic jet core in comparison with other tab cases. The reduction in supersonic core length is due to the extent of miniscule vortices exuviating from slanted small and large diameter perforation in the tabs.

The concept of slanted perforation can be applied in scramjet combustion, which finds its best application in hypersonic vehicles and in noise suppression in fighter aircraft.

Slanted perforation and circular shapes with different diameters have not been studied in the supersonic regime. Examining the effect of circular diameter in slanted perforation is an innovation in this research paper.

Construction projects in Malaysia are often delayed and over budget due to heavy reliance on labor. Linear regression (LR) models have been used in most labor cost (LC) studies, which are less accurate than machine learning (ML) tools. Construction management applications have increasingly used ML tools in recent years and have greatly impacted forecasting. The research aims to identify the most influential LC factors using statistical approaches, collect data and forecast LC models for improved forecasts of LC.

A thorough literature review was completed to identify LC factors. Experienced project managers were administered to rank the factors based on importance and relevance. Then, data were collected for the six highest ranked factors, and five ML models were created. Finally, five categorical indices were used to analyze and measure the effectiveness of models in determining the performance category.

Worker age, construction skills, worker origin, worker training/education, type of work and worker experience were identified as the most influencing factors on LC. SVM provided the best in comparison to other models.

The findings support data-driven regulatory and practice improvements aimed at improving labor issues in Malaysia, with the possibility for replication in other countries facing comparable problems.

This paper aims to propose, the multi-objective method for optimal planning and operation of distributed generators (DGs) on distribution system (DS) using hybrid technique is proposed.

The proposed hybrid technique denotes hybrid wrapper of black widow optimization algorithm (BWOA) and bear smell search algorithm (BSSA). BWOA accelerates the convergence speed with combination of the search strategy of BSSA; hence, it is named as improved black widow-bear smell search algorithm (IBWBSA) technique.

The multiple-objective operation denotes reducing generation cost, power loss, voltage deviation with optimally planning and operating the DS. For setting up the DG units on DS, IBWBSA technique is equipped to simultaneously reconfigure and find the optimal areas.

In this planning model, the constraints are power balance, obvious power flow limit, bus voltage, distribution substation’s capacity and cost. Then, proposed multiple-objective hybrid method to plan electrical distribution scheme is executed in the MATLAB/Simulink work site.