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Prior investigations concerning misalignment resulting from journal deformation typically relied on predefined misaligned angles. Nevertheless, scant attention has been devoted to the determination of these misaligned angles. Furthermore, existing studies commonly treat the journal as rigid under such circumstances. Therefore, the present study aims to introduce a framework for determining misaligned angles and to compare outcomes between rigid and flexible journal configurations.

The bearing forces are considered as an external load leading to journal deformation. This deformation is calculated using the finite element method. The pressure distribution producing the bearing force is solved using the finite difference method. The mesh grids in the finite element and finite difference methods are matched for coupling calculation. By iteration, the pressure distribution of the lubricant film at the equilibrium position is determined.

Results show that the deformation-induced misalignment has a significant influence on the performance of the bearing when the journal flexibility is taken into account. The parametric study reveals that the misalignment relies on system parameters such as bearing length-diameter ratio and static load.

The investigation of this work provides a quantification method of misalignment of hydrodynamic bearings considering the elastic deformation of the journal, which assists in the design of bearing in a rotor-bearing system.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-10-2023-0337/

Importance of corporate social responsibility (CSR) in marketing domain is increasing immensely. The effect of CSR perception on the purchase intention differs on the basis of mediators and contexts. The objective of this study is to examine the consumer behaviour of young consumers. For this, impact of CSR perception on purchase intention, satisfaction and price fairness of Generation Z is studied.

Preliminary data analysis is run to check normality, skewness and common method bias. PLS-SEM is deployed to examine the relationships amongst the research variables. Sequential mediation through PLS bootstrapping helped in exploring new and exciting research results which are supported with literature.

The CSR perception of Generation Z does not have a direct effect on their purchase intention. Interestingly, satisfaction and price fairness fully mediate the relationship between CSR perception and purchase intentions separately, i.e. CSR perception of Generation Z influences purchase intention only through satisfaction and price fairness. Furthermore, satisfaction and price fairness are also found to sequentially mediate the relationship between CSR perception and purchase intentions.

The research will aid not only the fast-food industry but the industries that are looking to focus on what Generation Z consumers expect in emerging markets including India. Understanding consumer expectations out of CSR initiatives will help them to incorporate social considerations into their marketing strategies and increase their profitability. Generation Z is regarded as the most challenging consumer demographic to market due to their proclivity for conducting extensive research and comparison shopping before making a purchase decision. As a result, the companies that want to use CSR as a strategy may find it advantageous to investigate how marketing of their CSR initiatives will lead to competitive edge and influence purchase decisions of this generational cohort.

This study adds to the academic literature by developing and evaluating a research model for consumer responses of a very important generation cohort to CSR in an emerging economy setting. CSR activities alone may not be enough to improve purchase intention of Generation Z adults. Sequential mediation for Generation Z adults' relationship between CSR and price fairness flows through satisfaction and finally to purchase intention is interesting because it clearly establishes a link amongst belief, attitude and actions of the target audience under study in a meaningful way within the framework given by cognitive consistency theory.

This paper examines the different features of China's economic development in different stages of economic globalization. The study finds that the investment- and export-based growth model drove China's high-speed economic growth between 2000 and 2007, which came into existence around 2000 when China plugged into the global production network.

This paper also finds that China slowed down to the New Normal because of the disruption to the socio-economic underpinnings of this growth model. As China adapts to and steers the New Normal, supply-side structural reforms can channel excess capacity to the construction of underground pipe networks in rural areas of central China and fix capital while advance rural revitalization.

At the same time, enterprises must strive to build a key component development platform for key component innovation and the standard-setting power in global manufacturing.

The establishment of a domestic production network integrating the integrated innovation-driven core enterprises and modular producers at different levels can satisfy the dynamic demand structure of China in which standardized demands and personalized demands coexist.

The purpose of this paper is to present a model depicting the relationship between the behavioral intention of tourists in the conditions prevailing during a pandemic and other variables.

In constructing the research procedure, two measurements of tourist behavioral intention were taken into account, which were taken far apart in time. In verifying the developed model, the results of surveys of 1,615 people carried out in June 2021 and 917 people carried out in December 2021 were considered.

As a result of the habituation process, tourists show greater acceptance of the restrictions.

Information on the basis of which companies make management decisions plays a significant role in the creation of company value. In the tourism sector, the information concerns primarily consumer behavior.

Changes over time in risk perception, health protection motivation, and reactance due to perceived pandemic-related restrictions were taken into account in the context of behavioral intention towards tourism.

This study aims to analyse the influence of perceived corporate social responsibility (CSR) on purchase intention; this study also examines the mediating effect of generation Y’s attitude towards the brand and the moderating effect of their attitude towards CSR.

This study tested the model with a sample of 392 generation Y consumers using Smart partial least squares (PLS)-structural equation modelling.

Brand attitude partially mediates the positive influence of perceived CSR (PCSR) on purchase intention. Gen Y’s attitude towards CSR increases the impact of PCSR on brand attitude and purchase intention.

To multiply the effects of CSR and brand attitude, retail marketing managers can develop strategies that strengthen the links between awareness, knowledge, brand affection and purchase intent by encouraging Gen Y consumers to engage with the brand’s CSR strategy.

This study advances the literature on CSR and consumer behaviour by providing an integrated view of the hierarchy of effects model and a generational cohort perspective in predicting purchase intention.

sponsabilidad social corporativa y la actitud hacia la marca en la intención de compra

el estudio analiza la influencia de la responsabilidad social corporativa (RSC) percibida sobre la intención de compra. De igual forma, se analizan el efecto mediador de la actitud hacia la marca y el efecto moderador de la actitud hacia la RSC de la Generación Y.

el modelo se contrastó con una muestra de 392 consumidores de la generación Y utilizando SMART PLS-SEM.

la actitud hacia la marca media parcialmente la influencia positiva entre la RSC percibida y la intención de compra. La actitud de la Gen Y hacia la RSC multiplica el impacto de la RSC percibida sobre la actitud hacia la marca y sobre la intención de compra.

con la finalidad de multiplicar los efectos de la RSC y de la actitud hacia la marca, los directivos del marketing minorista pueden desarrollar estrategias que refuercen los vínculos entre concienciación, conocimiento, afecto por la marca e intención de compra fomentando la implicación de los consumidores de la generación Y con la estrategia de RSC de la marca.

El estudio avanza en la literatura sobre RSC y comportamiento del consumidor al ofrecer una perspectiva integrada del modelo de jerarquía de efectos (HOE) y la perspectiva de cohortes generacionales en la predicción de la intención de compra.

本研究分析了感知到的企业社会责任对购买意向的影响。同样, 我们也分析了Y世代的品牌态度的中介效应和企业社会责任态度的调节效应。

使用SMART PLS-SEM对392名Y世代消费者的样本进行了模型测试。

品牌态度部分调解了感知的企业社会责任和购买意向之间的积极影响。Y一代对企业社会责任的态度使感知到的企业社会责任对品牌态度和购买意向的影响倍增。

为了使企业社会责任和品牌态度的效果倍增, 零售业营销人员可以制定战略, 通过鼓励Y一代消费者参与品牌的企业社会责任战略, 加强意识、知识、品牌喜爱和购买意向之间的联系。

Projecting the population distribution in geographical regions is important for many applications such as launching marketing campaigns or enhancing the public safety in certain densely populated areas. Conventional studies require the collection of people’s trajectory data through offline means, which is limited in terms of cost and data availability. The wide use of online social network (OSN) apps over smartphones has provided the opportunities of devising a lightweight approach of conducting the study using the online data of smartphone apps. This paper aims to reveal the relationship between the online social networks and the offline communities, as well as to project the population distribution by modeling geo-homophily in the online social networks.

In this paper, the authors propose the concept of geo-homophily in OSNs to determine how much the data of an OSN can help project the population distribution in a given division of geographical regions. Specifically, the authors establish a three-layered theoretic framework that first maps the online message diffusion among friends in the OSN to the offline population distribution over a given division of regions via a Dirichlet process and then projects the floating population across the regions.

By experiments over large-scale OSN data sets, the authors show that the proposed prediction models have a high prediction accuracy in characterizing the process of how the population distribution forms and how the floating population changes over time.

This paper tries to project population distribution by modeling geo-homophily in OSNs.

Corporate-NGO partnerships are gaining increasing importance as part of a company's CSR effort. This study aims to understand which communication tactics (CSR motive, CSR message frame, CSR fit) lead to more positive consumer outcomes in the context of corporate-NGO partnerships, and whether consumer skepticism and consumer trust mediate the proposed relationships.

An online experiment was conducted (N = 298) to examine the theoretical predictions, involving a 2 (CSR motive: firm-serving/public-serving) x 2 (CSR message frame: narrative/expositive) x 2 (CSR fit: high/low) between-subjects design.

The results confirmed that consumer attitudes and electronic Word-of-Mouth (eWOM) can be affected by CSR motives and CSR fit. Also, CSR skepticism and consumer trust both mediate the relationship of CSR motives and consumer outcomes.

The results of this study make a strong case for expressing public-serving CSR motives and refraining from firm-serving CSR motives when communicating about a corporate-NGO partnership to consumers.

Focusing on the communication tactics of corporate-NGO partnerships extends existing literature by uncovering whether and how the factors driving effective communication in other CSR activities can be applied to the context of corporate-NGO partnerships.

China’s national carbon market will be officially launched in 2020, when it will become the world’s largest carbon market. However, China’s carbon market is faced with various major challenges. One of the most important challenges is its impact on the social and economic development of arid and semi-arid regions. By simulating the carbon price trends under different economic development and energy consumption levels, this study aims to help the government can plan ahead to formulate various countermeasures to promote the integration of arid and semi-arid regions into the national carbon market.

To achieve this goal, this paper builds a back propagation neural network model, takes the third phase of the European Union Emissions Trading System (EU ETS) as the research object and uses the mean impact value method to screen out the important driving variables of European Union Allowance (EUA) price, including economic development (Stoxx600, Stoxx50, FTSE, CAC40 and DAX), black energy (coal and Brent), clean energy (gas, PV Crystalox Solar and Nordex) and carbon price alternatives Certification Emission Reduction (CER). Finally, this paper sets up six scenarios by combining the above variables to simulate the impact of different economic development and energy consumption levels on carbon price trends.

Under the control of the unchanged CER price level, economic development, black energy and clean energy development will all have a certain impact on the EUA price trends. When economic development, black energy consumption and clean energy development are on the rise, the EUA price level will increase. When the three types of variables show a downward trend, except for the sluggish development of clean energy, which will cause the EUA price to rise sharply, the EUA price trend will also decline accordingly in the remaining scenarios.

On the one hand, this paper incorporates driving factors of carbon price into the construction of carbon price prediction system, which not only has higher prediction accuracy but also can simulate the long-term price trend. On the other hand, this paper uses scenario simulation to show the size, direction and duration of the impact of economic development, black energy consumption and clean energy development on carbon prices in a more intuitive way.

This paper aims to analyze how nearby property prices are affected by new construction projects in Stockholm. If there is an impact on property prices, the authors endeavor to investigate whether the effects vary among different areas within the municipality, for different groups of inhabitants and for different types of housing (i.e. public versus private housing).

The authors use a difference-in-difference specification in a hedonic model, and the sample consists of more than 90,000 observations over the period 2005-2013.

The results are robust and indicate that house prices in nearby areas increase following the completion of infill development. The results also indicate that infill development has a positive spillover effect on nearby dwelling prices only in areas with lower incomes, more public housing units and more inhabitants born abroad.

It provides an analysis on how nearby property prices are affected by new construction projects by creating a restricted control area, so as to make the treatment group and the control group more homogeneous. Thus, it mitigates any potential problems with spatial dependency, which can cause biased standard errors.