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Previous studies have empirically examined the positive outcomes organizations can achieve by engaging in environmentally responsible actions, but the underlying mechanism of the reasons why publics engage in supportive behaviors for those organizations has not been examined in light of theoretical foundations. To fill this gap, this paper builds on a foundation of norm activation theory to explore the effect of publics' awareness of environmental consequences on perceived environmental responsibility of organizations and organizational norm, which can have an impact on publics' supportive behavior toward environmentally responsible organizations. The potential relationships between social media use for environmental information and other variables are also explored.

Drawing on norm activation theory, an online survey was conducted among 288 adults in the United States. Participants were recruited from Amazon Mechanical Turk.

Findings indicate the impact of individuals' awareness of environmental consequences on their ascription of responsibility to organizations, which influences organizational norm and supportive behavior intention toward organizations.

This study is one of the first attempts to explore the underlying mechanism of publics' support for environmentally responsible organizations.

The unsustainable practices of hotels have greatly contributed to ecological imbalances, encompassing excessive energy and water consumption, improper waste disposal and inadequate resource management. Information publicity (IP) plays an effective role in influencing tourists' intentions to visit green hotels. Therefore, the current study has incorporated IP into the value-belief norm (VBN) framework to examine tourists' intentions to visit green hotels.

This study is a correlational research design, and the purposive sampling technique was employed for the data collection. The study used 355 valid data and analyzed them via partial least squares structural equation modeling (PLS-SEM).

The study results show that egoistic values have the greatest impact on pro-environmental beliefs (ENBs). In addition, the results indicate the impact of ENB and IP on personal norms (PNs), leading toward the intention to visit green hotels.

This study helps hotel managers devise and execute effective marketing strategies for green hotels. Hospitality marketers should pay more attention to values, orientations and IP, emphasizing the significance of these factors in increasing the visits of customers to green hotels.

IP, an important factor that informs tourists about hotels that are environmentally friendly, has been neglected in the tourism research. This research examines the significance of IP in developing ENBs and influencing the PN of tourists.

This study aims to discuss the influences of surface severe plastic deformation (S²PD) on the electrochemical corrosion, pitting corrosion, intergranular corrosion, stress corrosion cracking of aluminum (Al) alloys and attempt to correlate the microstructural/compositional changes with the performances.

This study provides a novel gradient design of structure/composition caused by S²PD for the purpose of enhancing Al alloys’ corrosion resistance.

S²PD has a significant effect on corrosion behavior of Al alloys through tuning the grain size, residual stress, composition, grain boundary phase and second phase particle distribution.

Although Al alloys are known to form a protective Al₂O₃ film, corrosion is a major challenge for the longevity of Al structures across numerous industries, especially for the infrastructures made of high-strength Al alloys. Traditional strategies of improving corrosion resistance of Al alloys heavily relied on alloying and coatings. In this review, gradient design of structure/composition caused by S²PD provides a novel strategy for corrosion protection of Al alloys, especially in the enhancement of localized corrosion resistance.

This study focused on identifying critical factors governing the fire response of prestressed hollow-core slabs. The hollow-core slabs used as flooring units can be subjected to elevated temperatures during a fire. The fire response of prestressed hollow-core slabs is required to develop slabs with greater fire endurance. The present study aims to determine the extent to which the hollow-core slab can sustain load during a fire without undergoing progressive collapse under extreme fire and heating scenarios.

A finite element model was generated to predict the fire response of prestressed hollow core slabs under elevated temperatures. The accuracy of the model was predicted by examining thermal and structural responses through coupled temperature displacement analysis. A sensitivity analysis was performed to study the effects of concrete properties on prediction of system response. A parametric study was conducted by varying the thickness of the slab, fire and heating scenarios.

Thermal conductivity and specific heat of concrete were determined as sensitive parameters. The thickness of the slab was identified as a critical factor at a higher load level. Asymmetric heating of the slab resulted in higher fire resistance compared with symmetric heating.

This is the first study focused on studying the effect of modeling uncertainties on the system response by sensitivity analysis under elevated temperatures. The developed model with a parametric study helps in identifying critical factors for design purposes.

This study aims to explore the role of green motive (GM) and green dynamic capabilities (GDC) in green innovation (GI) through green value co-creation (GVC). Moreover, this study investigates the moderation of top management support (TMS) to strengthen the mediation of specific constructs; GM, GDC, green value co-creation (GVC) and green innovation (GI).

In total, 337 respondents (executive level/chief executive officer (CEO)) of service organizations were approached using a convenience sampling technique to collect the data through the survey method. Of these, 294 (87% response rate) duly filled responses were used in the final data analysis. In SPSS (Statistical Package for Social Sciences) v-23, the Process Macro-Hayes was used to evaluate the study's conceptual framework empirically.

The study revealed that TMS strengthened the mediation framework of GM, GDC, GVC and GI. Moreover, all hypotheses related to direct and indirect associations of specific constructs used in the theoretical framework were statistically significant and proved.

The comprehensive framework for GI of service organizations, primarily in the context of developing countries like Pakistan, is deficient in literature. This study helps service organizations by providing a comprehensive GI model to put a central focus on the transformation of management philosophy and working approach for achieving GI in the services structure.

This paper aims to develop a new method of fuselage drag optimization that can obtain results faster than the conventional methods based on full computational fluid dynamics (CFD) calculations and can be used to improve the efficiency of preliminary design.

An efficient method for helicopter fuselage shape optimization based on surrogate-based optimization is presented. Two numerical simulation methods are applied in different stages of optimization according to their relative advantages. The fast panel method is used to calculate the sample data to save calculation time for a large number of sample points. The initial solution is obtained by combining the Kriging surrogate model and the multi-island genetic algorithm. Then, the accuracy of the solution is determined by using the infill criteria based on CFD corrections. A parametric model of the fuselage is established by several characteristic sections and guiding curves.

It is demonstrated that this method can greatly reduce the calculation time while ensuring a high accuracy in the XH-59A helicopter example. The drag coefficient of the optimized fuselage is reduced by 13.3%. Because of the use of different calculation methods for samples, this novel method reduces the total calculation time by almost fourfold compared with full CFD calculations.

To the best of the authors’ knowledge, this is the first study to provide a novel method of fuselage drag optimization by combining different numerical simulation methods. Some suggestions on fuselage shape optimization are given for the XH-59A example.

The development of prefabricated buildings has become one of the primary solutions to transform the traditional construction industry around the world. Incentive policy is one of the important driving factors for the development of prefabricated building. The policy system in the field of prefabricated buildings needs to be improved urgently. However, there is still a dearth of research on how incentive policies exert impact on the development of prefabricated buildings. This paper aims to reveal the impact mechanisms of different types of policies on the development system of prefabricated buildings.

This study categorizes prefabricated building policies, constructs a system dynamics model of prefabricated building policies and conducts scenario simulations to examine the impact and sensitivity of different types of policies on the development system of prefabricated buildings.

The results show that compulsory policies play a greater role in the early stage of prefabricated building development and need to be withdrawn at the right time. Preferential and encouraging policies play an incentive role in the middle and later stages of prefabricated building development. Encouraging policies predominate in the later stage of prefabricated building development. Based on the research results, policy recommendations for prefabricated building development are put forward respectively from the government, developers and consumers.

The research results are expected to make up for the lack of clear policies paths in existing research and provide theoretical references for the formulation and optimization of future policies.

The purpose of this research is to explore the influence of the pandemic on manoeuvring consumption decisions towards goods and encouraging the trial of local food goods in a developing country, Jordan; primarily by taking an internal look into country image from a local perspective. Given the lack of studies analysing the impact of crises on consumption decisions, this research highlights the hidden benefits of the pandemic in shifting the perceptions of local food goods among Jordanian consumers.

This study adopts an exploratory approach to obtain rich, descriptive data to aid in the understanding of the shift in country image perceptions after the COVID-19 crisis and associated influences on purchase intentions. Using a qualitative open-ended approach eliminates the boundaries of closed-end methods of experimental research. Due to the nature of the phenomena being explored in this research, this study adopts the approach of responsive interviews with 26 participants.

Findings indicate that participants’ perceptions of country image and local goods and their consumption changed responding to COVID-19 for different reasons, creating new norms and perceptions of country image and local food goods. The findings precisely indicate a shift from negative to positive perceptions of country image and local food goods due to the pandemic. Results reveal that there are inconspicuous benefits associated with the role of the pandemic in shifting perceptions of country image and local food goods in Jordan.

Consumers’ perceptions and consumption decisions continue reciprocally to respond to and reflect on the COVID-19 crisis. Adjusting to the new normal is now the focus of research to understand the variance in consumption decisions across the world, including in emerging markets such as Jordan. Results also extend research on cue theory, as crisis seems to have a moderating role in the extent of influence cue theory has on perceptions of goods.

Assisting local brands in improving their marketing strategies, by identifying the barriers that hinder the “desire to try” phase among Jordanian consumers.

To the best of the authors’ knowledge, this study is unique and first of its kind, as it investigates perceptions of Jordanian consumers of their country’s image and whether the perceptual change in their country image would also stimulate a shift of perceptions in local food goods concerning the COVID-19 crisis. The results provide new insights into understanding consumer behaviour and preferences in crises; and the inconspicuous benefits that a crisis may have on local goods.

The COVID-19 pandemic has created a new normal for international business (IB) activities, leaving them pondering their next steps. The decreasing effectiveness of current vaccines to protect individuals against new variants have created uncertainty on how to respond to the new waves of the COVID-19 infection. This study aims to empirically assesses how IBs perceive the unfolding challenges in the supply chain due to the pandemic and the solutions.

The survey data is obtained from 166 logistics professionals in Hong Kong and India.

The results reveal that returns on investment, logistics, delays and imports are the most affected areas. The most often recommended solutions for supply chain management (SCM) include using local manufacturing capabilities, analytics and automation, offering better customer service, providing more effective transportation means, ensuring diligence around optimization and focusing on sustainability.

The findings of this study help to improve supply chain operations. This study also provides recommendations for changes to SCM in response to the new normal.

This study aims to determine consumer satisfaction dimensions that lead to a willingness to share positive emotions through the study of TripAdvisor users’ reviews on St. Petersburg museums. The explorative study reveals the most significant factors that could predict museum visitors’ behavioral intentions.

The study is based on the theory of planned behavior and the “cognitive-affective-conative” model to analyze TripAdvisor reviews (n = 23020) and understand the relationship between the affective and the conative components of consumer behavior. Quantitative text-mining analysis allowed us to view every lemma of every review as a single factor for a deeper understanding of the phenomenon.

The research has enlarged the literature on museum consumer behavior. Behavioral intentions of museum visitors are affected by satisfaction dimensions, especially emotions felt; the esthetic dimension and museums’ surroundings affect consumers’ overall willingness to share positive emotions, while bad service quality and pricing policy make a visit to the museums less satisfying.

Managers can enhance their offerings and attract new consumers by identifying the satisfaction dimensions that influence their intentions to share positive emotions. The research findings can aid museums, tour agencies and government officials in developing targeted products and strategies to meet consumers’ expectations and promote urban tourism.

The research identified the dimensions that influence visitors’ willingness to share positive emotions through user-generated content in the context of museums. The study applies quantitative text analysis based on logit regression, which is a novel approach in the field of urban tourism research.