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The aim of the present paper is to study the combined influence of textured surface and micropolar lubricant behaviour on the performance of two-lobe hole-entry hybrid journal bearing system. The bearing performance parameters of the textured circular/two-lobe hole-entry hybrid journal bearing system have been computed against the constant vertical external load supported by the bearing.

In this work, Eringen’s micropolar fluid theory has been used to derive the governing Reynolds equation. The consequent solution of the governing Reynolds equation has been obtained by using finite element method (FEM) numerical technique.

The present study indicates that the use of the textured surface, two-lobe profile of bearing and micropolar lubricant, significantly enhances the bearing performance as compared to non-textured circular journal bearing.

The present study concerning the influence of surface texturing on the behaviour of the two-lobe hole-entry hybrid journal bearing lubricated with micropolar lubricant is original. The theoretically simulated results of the present study will be useful to design an efficient journal bearing system.

Artificial intelligence (AI) has a significant impact on value co-creation (VCC). However, a study providing a comprehensive summary of the current state of the art and common ground of the two fields is missing. The current study aims to fill this gap by conceptualizing the role of AI in VCC and customer decision-making.

The study reviews literature on VCC and AI together, including a total of 108 articles. To bring the literature together, the authors adopted the antecedents-mediators-outcomes framework and narrative approach that helped them develop a framework by integrating the antecedents, mediators and outcomes of AI-facilitated VCC. Furthermore, the authors also operationalized existing literature to facilitate an understanding of the role of AI in customer decision-making.

The study, in addition to identifying the common theoretical grounds of VCC and AI (human behavior, cognition and social interactions), operationalizes AI functionality, its characteristics and customer characteristics as the antecedents of AI-facilitated VCC. Moreover, based on literature, on the continuum of low-to-high involvement, four types of decision-making were identified as mediator of the relationship between AI characteristics, customer characteristics and VCC. Additionally, the authors found different categorizations of AI in literature as archetypes to support various forms of VCC.

The study contributes to the literature of VCC and AI by construing a comprehensive framework for analyzing AI's impact on VCC, envisioning customer–AI interaction as continual exchange of advantages in which characteristics of AI and customers play a critical role in customer decision-making and shaping VCC.

The purpose of this paper is to study formability, tensile properties, dislocation density and surface roughness of incrementally deformed Ti–6Al–4V alloy sheets during single-point incremental forming (SPIF) and multi-point incremental forming (MPIF) process. The development of corrosion pits in 3.5% NaCl solution has also been studied during SPIF and MPIF processes.

In this study, the formability, tensile properties, dislocation density, surface roughness and corrosion behaviour of deformed Ti–6Al–4V alloy sheets were studied. A potentio-dynamic polarization (PDP) study was conducted to study the corrosion behaviour of Ti–6Al–4V alloy samples during SPIF and MPIF processes and the results were also compared with base material (BM) in 3.5% NaCl solution. Scanning electron microscopy (SEM) and transmission electron microscopy (TEM) analyses were carried out to study the corrosion morphology and dislocation densities of deformed samples.

The deformed Ti–6Al–4V alloy sheets obtained higher plastic deformation, high tensile strength, good surface roughness and good corrosion resistance during MPIF process when compared with SPIF process.

It has been concluded that the maximum strain and good corrosion resistance have been achieved with MPIF process, which in turn increases the plastic deformation as compared with BM.

This study discussed the formability, tensile properties, surface roughness and corrosion behaviour of deformed Ti–6Al –4V alloy sheets during incremental sheet forming (ISF) process.

This study is useful in the field of medical, industrial and automobile applications.

The Ti–6Al–4V alloy is deformed using MPIF process, achieving better formability, tensile strength, good surface roughness and corrosion rate, and the same is evidenced in forming limit diagrams (FLDs) and PDP curves.

In response to scholarly calls, the study aims to extend and magnify the existing understanding by unravelling the differential impact of anticipated emotions on green practice adoption intention through a proposed model by integrating anticipated pride and guilt in the same continuum along with values (altruistic, biospheric and egoistic) on an employee's attitude.

A self-administered questionnaire was used to collect data randomly from 307 employees and middle-level executives of three subsidiaries of CIL through the simple random sampling (SRS) technique. Data were analysed using structural equation modelling (SEM).

Results demonstrate that anticipated guilt influences individual cognitions and future ecological decision-making through improved attitude and higher concern for the environment while pride influences only through improved attitude. Other than biospheric and altruistic values, anticipated guilt is a direct and important antecedent of concern. Altruistic values are more influential predictors of environmental intentions in comparison to biospheric values. At the same time, environmental concern is more robust in predicting eco-intentions than attitude.

It makes notable difference from other studies by not only exploring the validity of the relationship between values on attitude and environmental concern but has also considered anticipated emotions of pride and guilt together alongside values on the same continuum as an antecedent of environmental attitude and concern towards employees’ green behavioural intention at the workplace. The findings are believed to provide a common consensus on differential effects of different states of emotions on environmental concern and attitude.

The purpose of this paper is to introduce architecture of an Intelligent Decision Support System to fulfill the emerging responsibilities of law enforcement agencies.

The proposed Intelligent Police System (IPS) is designed to meet the emerging requirements and provide information at all levels of decision making by introducing a multi-level structure of user interface and crime analysis model. The proposed framework of IPS is based on data mining and performance measurement techniques to extract useful information like crime hot spots, predict crime trends and rank police administration units on the basis of crime prevention measures.

IPS has been implemented on actual Indian crime data provided by National Crime Records Bureau (NCRB), which illustrates effectiveness and usefulness of the proposed system. IPS can play a vital role in improving outcome in the crime investigation, criminal detection and other major areas of functioning of police organization by analyzing the crime data and sharing of the information.

The research in intelligent police information system can be enhanced with some important additional features which include web-base management system, geographical information system, mobile adhoc network technology, etc.

IPS can easily be applied to any police system in the world and can equally be useful for any law enforcement agencies for carrying out homeland security effectively.

The research reported in this manuscript is outcome of the research project funded by NCRB. This paper is the first attempt to build framework of IPS for Indian police who deal with large volume and high rate of crimes that are unmatched to any police force of the world.

During the past decade, the green workplace has attracted the attention of academics and industry alike. As a result, new research areas like green human resource management (GHRM) started emerging. Green workplace means greening of traditional business functions, namely, human resource management, marketing, operations and supply chain. GHRM can play a strategic role in enabling organizations to implement and formulate sustainable strategies and help them achieve corporate sustainability. This paper helps understand the GHRM scholarship and provides an up-to-date account of GHRM practices.

In this paper, the authors have adopted the bibliometric analysis method to analyse and draw inferences from 247 articles retrieved from the Web of Science (WoS) database for the time horizon of almost two decades: 2005 to June 2021. The methodology's schematic view comprises four steps: data collection, data analysis, data visualization and interpretation. The present study intends to understand GHRM scholarship using Bibliometric R-package and VOSviewer software.

The study offers some interesting insights that may help scholars, line managers and top management to conceptualize the GHRM practices in their organization, which is currently limited to a few HR practices (hiring, training and reward), geographies, developed countries and industries. These can be extended to other HR practices (e.g. industrial relations). In addition, this paper contributes to the GHRM literature in identifying the keywords, authors, journals, intellectual, conceptual and social structure.

The study underpins the research in the area of GHRM in order to understand the trends on this topic over the past 17 years in terms of prolific authors, most impactful journals, key themes and the field's intellectual and social structure. The study indicates that this field is still in its development stage. Hence, there is a need for more arduous research on the topic to help develop a better understanding of this new field.

The paper helps understand green practices in human resource functions, focusing on corporate sustainability goals. It helps the line managers and top management make GHRM a central function for achieving sustainability goals. In addition, these findings can be a road map for the researchers to investigate the field of GHRM further.

Promoting sustainable consumption is key to global sustainable development. The current study aims to explore the impact of environmental risk perception, environmental knowledge, social pressure and health consciousness on sustainable behavior intention among millennial consumers.

This study used a survey method and a self-administered questionnaire to obtain data from the millennial generation. Smart partial least square (PLS) 4.0 was used to analyze data. This research used judgmental sampling and collected 596 valid responses.

The present study indicates that sustainable consumption is becoming more prevalent among millennials. The authors observed that a high level of environmental risk perception, environmental knowledge, social pressure and health consciousness are the antecedents of sustainable behavioral intention, ultimately leading to sustainable consumption behavior.

The current study highlights the millennial generation's sustainable consumption behavior. Researchers, policymakers, scientists, managers, industry professionals and brand managers can use the research findings to establish a sustainable framework.

This research finds that promoting ecological consumption and environmental consciousness can help developing countries achieve environmental sustainability and ecological balance. The research findings add to the literature by offering new insights into customers' pricing perception for sustainable products and sustainable product availability toward sustainable consumption behavior in developing countries.

China is a large country with different regions due to regional differences and project characteristics, and the selection of prefabricated building technology according to local conditions is the key to its sustainable development in China. The purpose of this paper is to develop the suitability evaluation system of prefabricated building technology from the perspective of the suitability concept and to analyze the selection path of prefabricated building technology and to provide a reference for selecting and developing prefabricated building technology schemes that meet regional endowments.

Based on relevant literature, technical specifications, and standards, this paper constructs an index system for analyzing the technical suitability of prefabricated buildings. It includes 23 indicators, 7 dimensions, and 3 aspects through the semantic clustering method. Following this, the comprehensive weight of each index is determined using the order relation method (G1) and the continuous ordered weighted averaging (COWA). The selection of technical schemes is comprehensively evaluated using Visekriterjumska Optimizacija Ikompromisno Resenje (VIKOR) and Fuzzy Comprehensive Evaluation Method.

 (1) The technical suitability of prefabricated buildings is influenced by 7 core factors, such as adaptability of resources and environment, project planning and design level, and economic benefit; (2) When selecting the appropriate technology for prefabricated buildings, economic suitability should be considered first, followed by regional suitability, and then technical characteristic; (3) The prefabricated building technology suitability evaluation model constructed in this paper has high feasibility in the technical suitability selection of the example project.

The comprehensive evaluation model of prefabricated building technology suitability constructed in this paper provides technical selection support for the promotion and development of prefabricated buildings in different regions. In addition, the model can also be widely used in areas related to prefabricated building consulting and decision-making, and provides theoretical support for subsequent research.

This study provides a new decision support tool for prefabricated building technology suitability selection, which helps decision makers to make more rational technology choices.

This study has a positive impact on the advancement of prefabricated building technology, the improvement of construction industry standards, and the promotion of sustainable development.

The contribution of this study is twofold: (1) Theoretically, this paper provides technical evaluation indicators and guidelines for provincial and regional governments to cultivate model cities, plan industrial bases, etc. (2) In practice, it offers project-level appropriate technology system solutions for the technology application of assemblers in various regions.

Although much research has examined sustainable consumption, one key factor that has been rediscovered is religion. This study aims to include religiosity as a background variable to extend the theory of planned behavior in measuring the Pakistani youth’s green purchase intentions (GPI) and green purchase behavior (GPB) of energy-efficient home appliances.

Built on a positivist research philosophy and a deductive approach of a quantitative design, a convenience sample of 317 participants was approached via online forms. Partial least squares structural equation modeling was used to analyze both the measurement model and the structural model.

The results suggest that religiosity impacts consumers’ beliefs to maintain control over green behavior and perceived behavioral control (PBC), followed by sustainable attitudes (SA), beliefs that significant others endorse green behavior subjective norms (SN) and GPI. Besides, PBC, SN and SA impact GPI. Furthermore, GPI and PBC impact GPB. Finally, PBC, SN and SA mediate the religiosity and GPI link. However, the moderation effect of PBC on the link of GPI with GPB was not supported.

The model developed is specific to the Muslim population in Pakistan. Therefore, the model might only be able to be generalized to nations that have a similar culture to the Muslims in Pakistan or in other developing countries.

The current research advances the knowledge on the 2030 Agenda for sustainable development goal (SDGs) (Goal-12) by clarifying the mechanisms whereby religiosity impacts factors of sustainable consumption including SA, PBC and SN.

Green or environmental human resource management (HRM) has in recent years attracted much attention from academia and practitioners all over the world. However, a thorough analysis of green or environmental HRM has not been made so far. To address this gap, the present study provides a systematic and comprehensive literature review. The purpose of this paper is threefold: to review Green HRM literature of various scopes, approaches and contexts; to identify different focus areas in the Green HRM literature; and to propose areas for future research.

The paper follows a systematic literature review approach. The selected journal articles are categorized on the basis of five focus areas in the Green HRM derived from the extant literature.

Research has grown significantly over the past 12 years that has focused on Green HRM. A total of 70 articles were reviewed and most of these articles employed quantitative method and were carried out in developing countries. Based on the five focus areas identified in this literature review, the performance outcome of Green HRM at both the organizational level and individual level received the greatest attention from the researchers.

This paper is limited to a review of academic articles obtainable from online databases, containing the words “Green human resource management”, “Green HRM”, “Green human resource”, “Environmental HRM”, “Green training” and “Environmental training” in the title. Additionally, only papers from high quality, peer-reviewed journals were evaluated. Other academic sources such as books and conference papers were not included in this study.

The paper presents a structural overview of 70 peer-reviewed articles published in leading academic journals from 2007 until early 2019. This review provides an increased understanding of the existing state of current research, trends and future research directions in the Green HRM discipline.