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This paper aims to examine dissimilar joints for various applications in chemical, petrochemical, oil, gas, shipbuilding, defense, rail and nuclear industry.

This study examined the effects of cold metal transfer welding on stainless steel welds for 316L austenitic and 430 ferritic dissimilar welds with ER316L, ER309L and without (autogenous) fillers. The microstructural observation was done with an optical microscope. The mechanical test was done to reveal the strength, hardness and toughness of the joint. The electrochemical polarization tests were done to reveal intergranular and pitting corrosion in the dissimilar joints.

This microstructural study shows the presence of austenitic and ferritic phases with vermicular ferrite for ER309L filler weld, and for ER316L filler weld specimen shows predominately martensitic phase in the weld region, whereas the autogenous weld shows lathy ferrite mixed with martensitic phase. Mechanical test results indicated that filler welded specimen (ER316L and ER309L) has relatively higher strength and hardness than the autogenous weld, whereas ER316L filler weld exhibited the highest impact toughness than ER309L filler weld and lowest in autogenous weld. The electrochemical corrosion results displayed the highest degree of sensitization (DOS) in without filler welded specimen (45.62%) and lower in case of filler welded specimen ER309L (4.95%) and least in case of ER316L filler welded specimen (3.51%). The high DOS in non-filler welded specimen is correlated with the chromium carbide formation. The non-filler welded specimen shows the highest pitting corrosion attack as compared to the ER316L filler weld specimen and relatively better in ER309L filler welded specimen. The highest pitting corrosion resistance is related with the high chromium content in ER309L composition.

This experimental study is original and conducted with 316L and 430 stainless steel with ER316L, ER309 and without fillers, which will help the oil, shipbuilding and chemical industries.

A significant increase in the number of private sector banks has intensified the level of competition in the Indian banking industry (IBI). This increase in the number of banks has a considerable impact on the existing players, which calls for prioritizing customer satisfaction (CS) and enhancing bank reputation (BR). Our study seeks to investigate the enablers of CS and BR in the IBI.

The study adopted a cross-sectional design for gathering responses from retail bank customers across the selected banks through a structured questionnaire. Structural equation modeling (SEM) was utilized to evaluate direct and indirect linkages among the identified constructs by examining mediating and moderating effects.

The study puts forward crucial antecedents of CS and BR. The findings exhibit that perceived trust (PT) and relationship commitment (RC) magnify CS and BR, respectively, while CS amplifies repurchase intention (RI). The study advances that BR and CS partially mediate between the underlying constructs. In addition, fairness and risk exhibit moderating effects between CS and customer repurchase intention (CRI) and BR and CRI.

The study illustrates the crucial enablers of BR, CS and CRI that may assist banking professionals in enriching customer experience and holding on to their customers.

There is a shortage of research on RC, service innovation (SI) and BR in the IBI. Accordingly, our study builds on the prior studies by considering these constructs using a comprehensive conceptual framework by extending the application of signaling theory (ST) in the banking domain and scrutinizing the dual moderating effects of fairness and risk.

The meddling of foreign players into the Indian hotel industry has triggered fervent competitiveness, and therefore, consumers' attitude, intention and behavior have been the epicenter of all activities. This study endeavors to explicate enablers of online hotel booking intention (OHBI) in the Indian hospitality industry.

The study examined OHBI of 560 travelers during the first wave of COVID-19 pandemic in India using structural equation modeling and an extended technology acceptance model. Direct and indirect associations were explored using mediation and moderation.

The results manifest that hotel website credibility, perceived website interactivity and perceived ease of use (PEU) aggrandize perceived usefulness (PU), which, in turn, considerably magnifies travelers' OHBI. PEU and PU partially mediate the relationship in the model. Into the bargain, service affordability reinforces the relationship, while perceived pandemic risk enfeebles the relationship between PU and OHBI.

The study unfurls pressing determinants of PEU, PU and OHBI that may facilitate hoteliers to lure travelers and enhance profitability.

There is a paucity of literature on “hotel website credibility” and “perceived pandemic risk” in the hospitality industry. Hence, the study enriches literature by assimilating underlying constructs through an epigrammatic conceptual model. The study is distinctive because it unearths the possibilities of mediation and moderation amongst the aforementioned constructs and posits the calamitous effects of the COVID-19 pandemic on the tourism and hospitality sector.

The purpose of this paper is to examine the automotive product recall risk in terms of social sustainability performance and to evaluate the role of buyer‒supplier relationships in improving social sustainability during product recall crises.

A multi-methodology approach is used to empirically analyse the interrelationship between the proposed constructs and enablers of the buyer‒supplier relationship. Structural equation modelling and interpretive structural modelling are followed to analyse the data gathered thorough a questionnaire survey of 204 executives and interviews with 15 managers from the automotive industry.

The results of the study provide evidence regarding the impact of the responsible buyer‒supplier relationship on customer recall concerns and the social sustainability performance of supply chains (SCs). This study also leads to the development of a conceptual model, providing a relationship between the three key concepts used in this study.

Following social sustainability principles, this study addresses the importance of developing strong, responsible relational ties with suppliers to reduce vehicle recalls or successfully recover from a product recall crisis.

This study contributes to the literature by providing theoretical and empirical insights for developing socially responsible SCs and confirming the role of the buyer‒supplier governance mechanism during product recalls in the context of the automotive industry.

The premise of this research is that the coupling of reinforcement learning algorithms and computational dynamics can be used to design efficient control strategies and to improve the cooling of hot components by quenching, a process that is classically carried out based on professional experience and trial-error methods. Feasibility and relevance are assessed on various 2-D numerical experiments involving boiling problems simulated by a phase change model. The purpose of this study is then to integrate reinforcement learning with boiling modeling involving phase change to optimize the cooling process during quenching.

The proposed approach couples two state-of-the-art in-house models: a single-step proximal policy optimization (PPO) deep reinforcement learning (DRL) algorithm (for data-driven selection of control parameters) and an in-house stabilized finite elements environment combining variational multi-scale (VMS) modeling of the governing equations, immerse volume method and multi-component anisotropic mesh adaptation (to compute the numerical reward used by the DRL agent to learn), that simulates boiling after a phase change model formulated after pseudo-compressible Navier–Stokes and heat equations.

Relevance of the proposed methodology is illustrated by controlling natural convection in a closed cavity with aspect ratio 4:1, for which DRL alleviates the flow-induced enhancement of heat transfer by approximately 20%. Regarding quenching applications, the DRL algorithm finds optimal insertion angles that adequately homogenize the temperature distribution in both simple and complex 2-D workpiece geometries, and improve over simpler trial-and-error strategies classically used in the quenching industry.

To the best of the authors’ knowledge, this constitutes the first attempt to achieve DRL-based control of complex heat and mass transfer processes involving boiling. The obtained results have important implications for the quenching cooling flows widely used to achieve the desired microstructure and material properties of steel, and for which differential cooling in various zones of the quenched component will yield irregular residual stresses that can affect the serviceability of critical machinery in sensitive industries.

Each stage in disaster management faces different challenges concerning information gathering, sharing, interpretation and dissemination. However, a comprehensive understanding of different information and communication technology (ICT) systems utilised for humanitarian disaster management is limited. Therefore, the paper follows a systems thinking approach to examine ten major man-made and/or natural disasters to comprehend the influence of ICT systems on humanitarian relief operations.

A longitudinal, multi-case study captures the use of ICT tools, stakeholders involvement, disaster stages and zones of operations for relief operations over the past two decades. A systems thinking approach is utilised to draw several inferences and develop frameworks.

Multiple ICT tools such as geographic information systems, online webpages/search engines, social media, unmanned aerial vehicles/robots and artificial intelligence are used for rapid disaster response and mitigation. Speed and coordination of relief operations have significantly increased in recent years due to the increased use of ICT systems.

Secondary data on the past ten disasters is utilised to draw inferences. The developed ICT-driven model must be validated during upcoming humanitarian relief operations.

A holistic understanding of a complex inter-relationship between influential variables (stakeholders, disaster stages, zones of operation, ICT systems) is beneficial for effectively managing humanitarian disasters.

Broadly classifying the ICT systems into surveillance, decision support and broadcasting systems, a novel ICT-enabled model for humanitarian relief operations is developed.

This study aims to analyze the available literature on the use of digital marketing in a business-to-business (B2B) context. It identifies gaps in the current research knowledge and proposes a research agenda for scholars and practitioners.

A systematic literature review has been conducted on B2B digital marketing. The various themes have been identified on the basis of the comprehensive analysis of extant literature. Also, semi-structured interviews with B2B marketing experts were also conducted to further refine the emerged digital marketing themes.

Although some B2B firms use digital marketing, most are unable to leverage its full benefits because of the dearth of comprehensive research on the subject. This review provides an insight into the emerging themes by developing a collaborative conceptual framework. The review highlights that few areas such as digital marketing communication and sales management have witnessed steady development while decision support systems, critical success factors, electronic marketing orientation (EMO), etc., were lesser explored. Furthermore, it identifies research gaps and highlights the emerging research themes for future researchers.

The collaborative framework will help organizations to align their digital marketing activities as per the changing market dynamics such as the focus on building social media capability, EMO and value co-creation.

Research on the use of digital marketing by B2B firms is still at the embryonic stage. This study is a pioneering effort to review the use of digital marketing in B2B organizations and identify research priorities for scholars and practitioners.

The purpose of this study is to provide a unique competitive advantage to businesses in providing a wide range of products to prospective customers. To the best of the author’s knowledge, there is no study to discuss the impact of customer-centric retailing on total supply chain profit under price competition between organized and unorganized retailers.

This paper considers a supply chain comprising of organized and unorganized retailers and a single manufacturer. This paper proposes three mathematical models considering a customer-centric approach in a competitive environment. Stackelberg game is used to examine how members of the chain interact, and Nash equilibrium was used to find optimal strategies for players under different customer-centric approaches.

The results show that the total supply chain profit is higher when both organized and unorganized retailers use a customer-centric approach independently instead of collaborating process. The result, in addition, establishes that when the dissatisfying cost exceeds a certain threshold (1.5), the total profit is higher for the organized customer-centric effort model compared to the other two models.

The main contribution of the study is to examine the effect of customer-centric retailing, considering dissatisfying costs on supply chains profit and individual decision-making under price competition between organized retailers and unorganized retailers. The authors developed different mathematical models in the different customer-centric approach.

The purpose of this paper is to empirically test an existing conceptual model from Mak et al. (2012a, 2012b) to discern which factors have the most influence on food choices when travelers visit destinations with different options, i.e. local foods, other than those available in their home environments.

The quantitative study surveyed 330 travelers and used descriptive analyses of all the variables involved. A hierarchical linear regression was calculated to predict for the dependent variable of local cuisine consumption, based on the independent variables of culture and religion, socio-demographic factors, motivational factors, food trait personality and exposure effect/past experience.

Culture, motivational factors and food-related personality traits were consistently significant predictors of local food consumption.

Limitations include using an English-only online questionnaire and self-reported bias. The impacting delimitation relates to data collection from US travelers and thus limiting generalizability findings.

The study explained factors involved in travelers’ decision to consume local foods at a destination. Government, tourism-related organizations, producers and service providers gain information to improve products, increase interest, create additional employment opportunities, increase tax revenues that assist local communities and increase consumption of local foods, products and services.

The limited availability of research on this topic prompted the interest of the researchers. Mak et al. (2012b) provide a conceptual model that was first tested empirically in this study. It presents a five factors impacting tourist food consumption at a destination. Local food consumption of tourists was tested using the aforementioned conceptual model.

The purpose of this paper is to reveal the relationship between personality traits, travel motivations, perceived destination quality, overall destination satisfaction and behavioral intentions of domestic tourists.

The quantitative research method was used in the study. A survey technique was used to collect data. Data were applied to incoming domestic tourist to Gaziantep and Sanliurfa cities in Southeast Anatolia of Turkey. The data obtained were analyzed by structural equation modeling.

The study showed that personal traits “agreeableness” and “conscientiousness” positively affect relaxation motivation. Cultural and relaxation motivations had a positive impact on satisfaction, whereas pleasure-seeking motivation has a negative impact on satisfaction. In addition, overall destination satisfaction is positively affected by destination quality perceptions and affects loyalty in a positive way.

During the literature review phase, no scale was found according to different destination characteristics (cultural, nature and sea destinations). In this regard, developing new scales to measure destination quality in accordance with different destination types would allow comprehending the subject in a more clear and detailed way.

The establishment of relationship between variable examined by this study ensures that product and services provided by the destination reach the correct target audience, which brings along the success to destination. For instance, destination management organizations could get information from travel agencies they work with about the characteristics, and motivations of tourists, and could develop their strategies, and plans, accordingly.

This study has three important contributions. First, revealing the role of personality in tourist behavior; second, their behaviors and attitude before (motivation and personality) during (destination quality and satisfaction) and after visiting (behavioral intentions) were examined; and third, personality, travel motivation, destination quality and satisfaction are discussed together as a model in this study.