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The purpose of this study is to explore the relationship between nonmarket strategy and innovation performance, as well as the boundary factors that influence this relationship in the context of the pharmaceutical industry in emerging markets.

This study analyzed matched data of 227 Chinese pharmaceutical firms and two secondary databases with SPSS to examine the hypotheses.

Nonmarket strategy promotes the innovation performance. High level of firm internal knowledge utilization ability and strategic flexibility strengthens the effect of nonmarket strategy in promoting innovation performance, while information technology (IT) environment weakens the effect of nonmarket strategy in promoting innovation performance.

The research studies the positive impact of nonmarket strategy on innovation performance in the specific context of Chinese pharmaceutical industry, and it introduces the internal capabilities and external IT environment of the firm as moderators of the relationship between nonmarket strategy and innovation performance. More importantly, this research echoes the call for research on moderator of nonmarket strategy and identifies important boundary conditions. To the best of the authors’ knowledge, it also explores the impact of the IT environment on the implementation of nonmarket strategy for the first time, which deepens the research on nonmarket strategy’s effect on innovation.

The study examines tourists' psychological and social risk and shared beliefs – devotion, concerns and entertainment – at a religious and cultural heritage destination. It also examines how shared beliefs impact tourists’ nostalgia. Further, it examines whether nostalgia affects choice deferral and revisit intentions. Finally, it investigates how moderation of place attachment strengthens the link between shared beliefs – devotion, concerns, entertainment and nostalgia.

The data were collected from 439 inbound tourists, with 272 completing online questionnaires and 167 participating in face-to-face survey. Data analysis was performed using Amos 24.0 and SPSS 25.0, employing structural equation modeling (SEM) and the PROCESS macro.

The findings suggest that perceived psychological and social risk negatively impacts tourists' shared beliefs – devotion, concerns and entertainment – which positively impacts nostalgia. Positive nostalgic association boosts revisit intention and hampers choice deferral. The data also show how strong place attachment strengthens the relationship between shared beliefs – devotion, concerns and entertainment – and tourists’ perceived nostalgia.

This work contributes to information behavior using S-O-R theory. It analyzes the psychological and social risks of destination visits and how nostalgia affects shared beliefs and revisit intentions. Management and policymakers at destination enterprises can use the findings to design measures to enhance revisit intentions despite risk considerations.

Pakistan's destination tourism is underutilized amid its religious and cultural heritage significance. The literature has ignored how perceived psychological and social risk affects travelers' shared beliefs and nostalgic feelings. Thus, this study suggests and validates these linkages utilizing stimulus-organism-response (S-O-R) theory in Pakistan's unique environment with inbound tourists.

This study aims to understand consumers' reactions to hospitality corporate social responsibility (CSR) campaigns under different resource scarcity reminders, an important but overlooked contextual factor, and examine how such scarcity reminders interact with message framing, a widely used technique in CSR communication.

Three experimental studies were conducted. Studies 1 and 2 examined the main effect of resource scarcity reminders (environmental vs personal) on consumer engagement via self-other orientation. Study 3 further investigated the interactive effect between resource scarcity reminders (environmental vs personal) and message framing (gain vs loss) with hope as a key mediator.

Studies 1 and 2 show that environmental (vs personal) scarcity activates a more salient other orientation, subsequently increasing consumers' donation and word-of-mouth intentions. Study 3 reveals that environmental (vs personal) scarcity makes people more hopeful with gain-framed messages. Moreover, the elevated hope enhances perceived efficacy (attitude toward the company), leading to higher donation (word-of-mouth) intention.

Hospitality marketers could remind consumers of the harsh environment to elicit other orientation and encourage CSR participation. Using gain-framed messages or other hope-inducing appeals would be particularly advantageous in engaging consumers in CSR campaigns during heightened environmental scarcity.

Focusing on consumer responses to CSR campaigns, to the best of the authors’ knowledge, this research is the first to reveal reminders of resource scarcity as a novel antecedent factor and further uncover how such reminders interact with message framing to affect CSR engagement.

The high-pressure accumulator has been widely used in the hydraulic system. Failure pressure prediction is crucial for the safe design and integrity assessment of the accumulators. The purpose of this study is to accurately predict the burst pressure and location for the accumulator shells due to internal pressure.

This study concentrates the non-linear finite element simulation procedure, which allows determination of the burst pressure and crack location using extensive plastic straining criterion. Meanwhile, the full-scale hydraulic burst test and the analytical solution are conducted for comparative analysis.

A good agreement between predicted and measured the burst pressure that was obtained, and the predicted failure point coincided very well with the fracture location of the actual shell very well. Meanwhile, the burst pressure of the shells increases with wall thickness, independent of the length. It can be said that the non-linear finite element method can be employed to predict the failure behavior of a cylindrical shell with sufficient accuracy.

This paper can provide a designer with additional insight into how the pressurized hollow cylinder might fail, and the failure pressure has been predicted accurately with a minimum error below 1%, comparing the numerical results with experimental data.

The purpose of this review is to comprehensively consider the material properties and processing of additive titanium alloy and provide a new perspective for the robotic grinding and polishing of additive titanium alloy blades to ensure the surface integrity and machining accuracy of the blades.

At present, robot grinding and polishing are mainstream processing methods in blade automatic processing. This review systematically summarizes the processing characteristics and processing methods of additive manufacturing (AM) titanium alloy blades. On the one hand, the unique manufacturing process and thermal effect of AM have created the unique processing characteristics of additive titanium alloy blades. On the other hand, the robot grinding and polishing process needs to incorporate the material removal model into the traditional processing flow according to the processing characteristics of the additive titanium alloy.

Robot belt grinding can solve the processing problem of additive titanium alloy blades. The complex surface of the blade generates a robot grinding trajectory through trajectory planning. The trajectory planning of the robot profoundly affects the machining accuracy and surface quality of the blade. Subsequent research is needed to solve the problems of high machining accuracy of blade profiles, complex surface material removal models and uneven distribution of blade machining allowance. In the process parameters of the robot, the grinding parameters, trajectory planning and error compensation affect the surface quality of the blade through the material removal method, grinding force and grinding temperature. The machining accuracy of the blade surface is affected by robot vibration and stiffness.

This review systematically summarizes the processing characteristics and processing methods of aviation titanium alloy blades manufactured by AM. Combined with the material properties of additive titanium alloy, it provides a new idea for robot grinding and polishing of aviation titanium alloy blades manufactured by AM.

To identify the risks associated by consumers with renting clothes.

A descriptive research with a quantitative approach was carried out. First, the measurement models of the variables involved in the proposed model were validated. After verifying the existence of the variables, the resulting model was finally estimated through structural equation modelling.

The results obtained establish the six dimensions that make up the problems associated by consumers with the clothing rental business model. These problems encompass various types of risks: financial, physical, performance, psychosocial, inconsistency with values and lifestyle, as well as lack of trust in the service provider. The results obtained show that only inconsistency, financial risk and physical risk have a significant effect on attitude. These performance risks, together with the consumer's attitude towards renting, have a negative effect on the intention to rent.

Factors that have a negative effect on attitude have been studied less than the facilitators of attitude. This is the first study in Spain.

The results will help managers to understand the adoption behaviours of these models.

This study helps understand the social innovation needed to change consumers' relationship to clothing.

Based on the sharp decline in the quantity and quality of natural resources, many organizations are shifting their operations to an eco-friendly system. However, this objective cannot be achieved without capitalizing on green knowledge and innovation. The purpose of this study is to examine whether green knowledge management (GKM) strengthens organizational green innovation capabilities, leading to green performance. Moreover, considering culture as the buffering condition, the authors took it as the conditional boundary between GKM and green innovation and investigated if it impacts their relationship.

The authors focused on the manufacturing and services firms’ managerial and non-managerial staff and collected data following the non-probability convenience sampling technique. The collected data were examined through structural equation modeling.

It is found that GKM is a significant positive predictor of organizational green innovation and green performance and strengthens their abilities in these areas. However, green innovation partially mediates between GKM and corporate green performance. It is also found that green culture strengthens the relationship between GKM and organizational green innovation.

This study’s findings provide confidence to organizational managers and related stakeholders to achieve sustainability goals by capitalizing on GKM and promoting green culture in their setup. This study is also among the pioneer studies investigating GKM as a unified system and linking it with environmental performance domains.

The need for accelerating innovation is exacerbated as organizations struggle to either adapt or perish in this unforgiving condition due to the COVID-19 disruption. To address this issue, many organizations have embraced employee-driven participatory innovation to survive and thrive albeit the uncertainties. This study aims to investigate the role of enterprise social media (ESM) in supporting and facilitating these efforts.

This study first identified the underlying mechanisms that allow ESM use to foster and maintain participatory innovation and then reexamined how these mechanisms played out during the COVID-19 lockdown restrictions. The data was collected through a questionnaire in two phases, before and during work-from-home mandates, and the results were analyzed and compared to capture similarities and differences.

The results revealed that innovation culture and management support mediated the effects of ESM use on three measures of innovation productivity in both conditions. Interestingly, the effect of ESM use was more prominent in driving innovation in the work-from-home condition. This effect was not limited to the direct effect of ESM use on innovation productivity but on innovation culture and management support as well.

The results suggest that ESM offer a potentially useful path to support and enable employees to participate in the innovation processes, especially when they work remotely or in a distributed team. More generally, this paper should be of interest to researchers and practitioners interested in understanding, implementing and evaluating enterprise social software applications and encouraging employee-driven participatory innovation.

Vehicle companion is one of the most common companion patterns in daily life, which has great value to accident investigation, group tracking, carpooling recommendation and road planning. Due to the complexity and large scale of vehicle sensor streaming data, existing work were difficult to ensure the efficiency and effectiveness of real-time vehicle companion discovery (VCD). This paper aims to provide a high-quality and low-cost method to discover vehicle companions in real time.

This paper provides a real-time VCD method based on pro-active data service collaboration. This study makes use of dynamic service collaboration to selectively process data produced by relative sensors, and relax the temporal and spatial constraints of vehicle companion pattern for discovering more potential companion vehicles.

Experiments based on real and simulated data show that the method can discover 67% more companion vehicles, with 62% less response time comparing with centralized method.

To reduce the amount of processing streaming data, this study provides a Service Collaboration-based Vehicle Companion Discovery method based on proactive data service model. And this study provides a new definition of vehicle companion through relaxing the temporal and spatial constraints for discover companion vehicles as many as possible.

In addressing the housing deficits for the less privileged citizens, the South African government began constructing social housing after coming to power in 1994. However, the construction of these houses is bedevilled with many issues; prominent among them are poor quality of the constructed houses. This study seeks to develop a quality management framework for achieving quality and efficiency in public-sector housing construction, a hallmark of the country's procurement goals.

Telephone interviews were conducted with construction professionals involved in constructing government social houses across South Africa, chosen randomly. The data gathered were analysed using the content analysis method.

The study found that the most significant cause of poor quality government-constructed social housing is multifaceted, categorised into project management-related, procurement-related, contractor-related, corruption-related and political-related.

Failure to develop and implement a quality management framework on government-constructed social housing leads to poor quality social housing.

The study has identified quality-related issues and has developed a Quality Management (QM) framework for the stakeholders involved in the construction of the houses to guide them in the project implementation process to ensure project success and quality standards.