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The criteria importance through intercriteria correlation (CRITIC) and range of value (ROV) combined methods were used to determine a single index for all multiple responses.

This paper used cold metal transfer (CMT) and pulse metal-inert gas (MIG) welding processes to study the weld-on-bead geometry of AA2099-T86 alloy. This study used Taguchi's approach to find the optimal setting of the input welding parameters. The welding current, welding speed and contact-tip-to workpiece distance were the input welding parameters for finding the output responses, i.e. weld penetration, dilution and heat input. The L9 orthogonal array of Taguchi's approach was used to find out the optimal setting of the input parameters.

The optimal input welding parameters were determined with combined output responses. The predicted optimum welding input parameters were validated through confirmation tests. Analysis of variance showed that welding speed is the most influential factor in determining the weld bead geometry of the CMT and pulse MIG welding techniques.

The heat input and weld bead geometry are compared in both welding processes. The CMT welding samples show superior defect-free weld beads than pulse MIG welding due to lesser heat input and lesser dilution.

Globally, the governance has shifted from positivist to the regulatory-centric approach, necessitating accurate contouring of regulatory governance framework. The study proposes a novel approach to unravel the regulatory governance framework in the context of the Indian electronics industry – extendable to other sectors in India and other emerging economies.

The research objective has been operationalized through document analysis and thematic analysis of semi-structured interview transcripts in three steps: (1) arrive at parameters of the regulatory governance framework, (2) identify instruments against each parameter and (3) characterize parameters in terms of dominant instruments and their underlying modalities. The authors have adopted a set of 6 Cs modalities (control, communications, competition, consensus, code and collaboration) and regulatory space theory to analyze existing modalities mix in the dominant instruments.

In summary, the study has (1) identified eight macro and twenty micro regulatory governance parameters, (2) mapped regulatory governance parameters with instruments and institutions (3) revealed the top two dominant modalities for each regulatory governance parameter.

The existing modality characteristics of regulatory governance parameters can be used by manufacturers, investors and other stakeholders to make a realistic assessment of regulatory governance and reduce regulatory risk and regulatory burden.

The multidimensional use of parameters, instruments and modalities broadens the understanding of the existing regulatory governance framework and may assist the regulators in optimizing it to meet market requirements.

The purpose of this study is to examine the role of personality traits (PTs) of individual investors on their investment intention (II). Further, to study the mediating role of overconfidence (OC) bias and financial literacy (FL) on the relationship between PTs and II.

The present study uses the quantitative approach for the data collection from the sample of 327 Indian investors investing in the stock market. The questionnaire was divided into segments to assess the investor’s PTs, OC, FL and II. The PT has been measured using the Big Five Personality Traits. Confirmatory factor analysis was used to test the reliability and validity of the constructs. The hypothesis was tested using structural equation modeling.

Findings of the study show that the PTs of an individual investor are associated with FL and II but insignificant with OC bias. Further, the FL and OC bias have a positive and significant influence on II. In addition, the mediation analysis showed that FL partly mediates the relationship between PTs and II.

The present study is helpful for financial companies, government, personal finance advisors and individual investors; they can keep in mind the behavior-related traits that can influence the investment decisions and design the portfolio accordingly. The policy-makers can implement programs on FL to enhance investment decisions in India.

This paper is unique that covers the mediating role of psychological bias, i.e. OC bias and FL, between the PTs and II of an Indian investor.

Customer participation (CP) in service recovery is one of the ways to co-create value with the service provider. Most existing studies assume that customers are willing to participate in service recovery, provided the firm offers them the opportunity. In this study, the authors propose the construct named customer intention to participate in service recovery (CIPSR), develop a scale for it and argue that it is not always implicit but rather is dependent on the consumer's perceived control.

A multi-method approach was used with a combination of qualitative interviews, literature review, unaided dimension identification, correspondence analysis, exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modelling to develop the CIPSR scale. The authors used structural equation modelling to test the proposed effect of perceived control on CIPSR.

The study proposes a four-dimensional scale for CIPSR. The authors also found support for the effect of perceived control on CIPSR, with anxiety and failure controllability attribution as intermediate variables.

This study develops a comprehensive scale to measure CIPSR using a rigorous multi-method technique, as well as establishes its importance in the existing literature.

Although extant literature exists on luxury consumption, limited studies have focused on motivation and values to consume luxury brands among athletes. The study aims to uncover the motivations that guide athletes’ decision-making processes to consume luxury brands.

The study utilized the theory of prestige consumption to develop a model. The model posits that bandwagon, snob and veblen motivations guide athletes to seek social and conspicuous values in their consumption of luxury brands. A survey-based questionnaire approach was used to collect data from 343 athletes from Turkey by considering brands from different product categories.

Findings indicated that bandwagon and veblen motivations are associated with social and conspicuous values. The findings also suggested that bandwagon, snob and veblen motivation are positively associated with luxury consumption intentions. Also, the social and conspicuous values of athletes determine their intentions to consume luxury. The mediating effects of social and conspicuous values are also confirmed.

The study's findings are first to empirically examine the influence of motivations on social and conspicuous value among athletes. The results show that the luxury consumption motivations of the athletes have a strong role in their intention to purchase luxury products. The findings also offer novel managerial implications.

The purpose of this study is to solve the problem of healthcare waste management in developing countries. The buildup of medical waste has attracted the attention of all spheres of society due to the expanding population and developing economy. Timely collection and processing of medical waste are extremely important due to its potential hazards. Although the problem of planning medical waste management has been addressed in developed countries, it persists in several developing countries. This research is motivated by an example of a city in India characterized by a dense population, abundant health-care facilities and a lack of planning for managing large medical waste generated daily.

The authors address the problem of designing the network of collection and processing facilities for medical waste and optimizing the vehicle route that collects and transfers the waste between facilities. Due to distinct topographic restrictions in the considered city, the collection and transfer process needs to be conducted in two echelons – from hospitals to collection centers using smaller vehicles and then to the processing facilities using trucks. This work addresses these two problems as a two-echelon location-routing problem.

A mixed-integer programming model is developed to minimize the cost of opening the facilities and transporting medical waste. Several managerial insights are drawn up to assist planners and decision-makers.

This study follows a case study approach to provide a descriptive and prescriptive approach to hospital waste management in the ancient city of Varanasi. The city has witnessed unplanned growth over the years and is densely populated. The health-care facilities in the city have a large catchment area and attract patients from neighboring districts. The situation analysis based on secondary data and unstructured interviews of the stakeholders suggests that the ad hoc approach prevails in present hospital waste management in the city.

Some studies have been reported in the past on diaphragmatic hernia (DH) surgery techniques using additive manufacturing (AM) technologies, symptoms of a hernia and post-surgery complications. But hitherto little has been reported on bibliographic analysis (BA) for health monitoring of bovine post-DH surgery for long-term management. Based on BA, this study aims to explore the sensor fabrication integrated with innovative AM technologies for health monitoring assistance of bovines post-DH surgery.

A BA based on the data extracted through the Web of Science database was performed using bibliometric tools (R-Studio and Biblioshiny).

After going through the BA and a case study, this review provides information on various 3D-printed meshes used over the sutured site and available Internet of Things-based solutions to prevent the recurrence of DH.

Research gaps exist for 3D-printed conformal sensors for health monitoring of bovine post-DH surgery.

Despite rapid growth in blockchains, there was limited discussion about non-technical and technical factors on blockchain governance in the extant literature. This study aims to contribute new knowledge to the literature on potential factors affecting the adoption, governance and scale-up of blockchain technologies in the health-care and energy sectors, presented in a holistic framework.

This study adopts the qualitative case study research methodology to research blockchain governance in practice. The authors contacted a national blockchain consortium to conduct their research on the governance issue of blockchain. Two leading case organizations, one from the health-care industry and another from the energy industry, were deliberately selected for their study for their active role and reputation in the consortium and practical experience in blockchain governance.

The developed framework helps identify potential research gaps or concerns on adopting a blockchain as well as assessing blockchain implementation and governance in other industries. Depending on the circumstances, some of the factors can be either drivers or obstacles to further blockchain development. The different forces may also be more or less evident over time as blockchains develop. The two real-world case studies contribute to the information technology governance literature on blockchain governance.

The results of this case studies will be beneficial for developing theories and empirical models to determine antecedents for achieving consensus and trust in blockchain and testing the relationship between these factors and blockchain governance at different levels. As a result, theories related to the governance of blockchain technologies could be further developed.

For a lightweight and accurate description of bearing temperature, this paper aims to present an efficient semi-empirical model with oil–air two-phase flow and gray-box model.

First, the role of lubricant/coolant in bearing temperature was discussed separately, and the gray-box models on the heat convection inside a bearing cavity were also created. Next, the bearing node setting scheme was optimized. Consequently, a novel semi-empirical two-phase flow thermal grid for high-speed angular contact ball bearings was planned. With this model, the thermal network for the selected motored spindle was built, and the numerical solutions for bearing temperature rise were obtained and contrasted with the experimental values for validation. The polynomial interpolation on test data, meanwhile, was also performed to help us observe the temperature change trend. Finally, the simulations based on the current models of bearings were implemented, whose corresponding results were also compared with our research work.

The validation result indicates that the thermal prediction is more accurate and efficient when the developed semi-empirical oil–air two-phase flow model is employed to assess the thermal change of bearings. Clearly, we provide a more proper model for the thermal assessment of bearing and even spindle heating.

To the best of the authors’ knowledge, this paper introduced the oil–air separation and gray-box model for the first time to describe the heat exchange inside bearing cavities and accordingly presents an efficient semi-empirical oil–air two-phase flow model to evaluate the bearing temperature variation by using thermal network method.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-06-2023-0180/