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This paper aims to facilitate the research and development of resilient navigation approaches, explore the robustness of adversarial training to different interferences and promote their practical applications in real complex environments.

In this paper, the authors first summarize the real accidents of self-driving cars and develop a set of methods to simulate challenging scenarios by introducing simulated disturbances and attacks into the input sensor data. Then a robust and transferable adversarial training approach is proposed to improve the performance and resilience of current navigation models, followed by a multi-modality fusion-based end-to-end navigation network to demonstrate real-world performance of the methods. In addition, an augmented self-driving simulator with designed evaluation metrics is built to evaluate navigation models.

Synthetical experiments in simulator demonstrate the robustness and transferability of the proposed adversarial training strategy. The simulation function flow can also be used for promoting any robust perception or navigation researches. Then a multi-modality fusion-based navigation framework is proposed as a light-weight model to evaluate the adversarial training method in real-world.

The adversarial training approach provides a transferable and robust enhancement for navigation models both in simulation and real-world.

The purpose of this paper is to draw on dynamic capability view and contingency theory to clarify the nature of the effect of environmental turbulence on the relationships between firm’s both product and process innovations and business performance.

The authors developed and empirically tested two structural models using structural equation modeling approach. The first model deals with both product and process innovations as the mediators between environmental turbulence and business performance. The second model considers the moderating effect of environmental turbulence between innovation and business performance.

The findings show that environmental turbulence does not moderate the relationship between innovation and business performance. The authors have found a clear role of environmental turbulence in boosting innovation rather than moderating the relationship between innovation and performance.

The data set is a cross-section of heterogeneous firms regarding the industry.

Managers should be aware of the importance of the innovation for the environmental turbulence and dynamism counteracting. The results imply a negative influence of environmental turbulence on business performance. However, with the innovation in the equation, this influence can be positive, because it boosts firms to innovate and though to achieve better business performance.

It contributes the management and innovation research and practice through offering insights into the role of environmental turbulence in product innovation, process innovation as well as organizational business performance through comprehensive analysis of mediation and moderation effects between the observed constructs.

The aim of this paper is to empirically examine whether environmental turbulence leads to the adoption of high-performance work systems (HPWS) and learning orientation (LO) in organizations and, if so, how these two elements contribute to innovativeness. Past research studies widely demonstrated that HPWS and LO are strong determinants of innovativeness. This study incorporates environmental turbulence as an antecedent and explains the interactions between these concepts.

This paper involves a questionnaire-based survey of 233 firms. For hypothesis testing, structural equation modeling (SEM) was used.

The results revealed the antecedent role of environmental turbulence in HPWS and LO. Additionally, HPWS and LO mediated the relationship between environmental turbulence and organizational innovativeness.

This research has the limitations of a cross-sectional study design. The study draws out some implications for firms facing turbulent conditions and intending to increase their innovativeness by stimulating a learning culture and focusing on human capital through HPWS.

The overarching contribution of this study is to test the assumption that organizations initiate changes in their internal systems as a response to environmental turbulence. By doing so, the study enriches current studies by exploring the mediator role of HPWS and LO between environmental turbulence and innovativeness. This research also contributes to the literature by demonstrating the antecedent role of environmental turbulence in HPWS for the first time. Additionally, it provides evidence for the relationship between environmental turbulence and LO.

Though customer experience (CX) is identified as a key research priority, empirically led insight with tourism consumers' resulting emotional attachment (EA) and customer loyalty (CL) remains scarce, particularly during the COVID-19 crisis. Adopting service-dominant logic, this study develops a model that investigates the impact of customer engagement (CE) and customer co-creation (CC) on CX, which consequently effects EA and CL during the COVID-19 crisis in the tourism industry. First, our results suggest that CE and CC positively affect tourism CX. Second, results revealed the CX's significant positive effect on EA and CL. Third, findings confirmed the CE's and CC's indirect impact on EA and CL, as mediated via CX in pandemic situations. Our study offers key implications for destinations to develop tactics in surviving during a pandemic to rebuild tourism.

This study aims to determine the effects of lodging infrastructure development (LID) on Cordillera Administrative Region’s (CAR) environmental quality and natural resource management and its implication to globally responsible leadership. Specifically, this study sought to determine the contribution of LID to environmental deterioration and natural resource degradation in the CAR. As a result, a mathematical model is developed, which supports sustainability practices to maintain the environmental quality and natural resource management in CAR, Philippines.

This study used a descriptive research design using a mixed-methods approach. Self-structured interview and survey were used to gather the data. The population of this study involved three groups. There were 6.28% (34) experts in the field for the qualitative data, 70.24% (380) respondents for the quantitative data and 23.47% (127) from the lodging establishments. 120 respondents from the Department of Tourism – CAR (DOT-CAR) accredited hotels. Nonparametric and nonlinear regression analysis was used to process the data.

The effects of LID on the environmental quality and natural resource management in CAR as measured through carbon emission from liquefied petroleum gas (LPG), electricity and water consumption in the occupied guest rooms revealed a direct correlation between the LID. Findings conclude that the increase in tourist arrival is a trigger factor in the increase in LID in the CAR. The increase in LID implies a rise in carbon emission in the lodging infrastructure. Any increase in tourist arrivals increases lodging room occupancy; the increased lodging room occupancy contributes to carbon emissions. Thus, tourism trends contribute to the deterioration of the environmental quality and degradation of the natural resources in the CAR. A log-log model shows the percentage change in the average growth of tourist arrival and the percentage increase in carbon emissions. Establishments should observe standard room capacity to maintain the carbon emission of occupied lodging rooms at a minimum. Responsible leadership is a factor in the implementation of policy on standard room capacity.

The result of the study has some implications for the lodging businesses, the local government unit (LGU), the Department of Tourism (DOT) and the Department of Environment and Natural Resources (DENR) in the CAR. The study highlights the contribution of the lodging establishments to CO₂ emission, which can degrade the quality of the environment, and the implication of responsible leadership in managing natural resources in the CAR. The direct inverse relationship between energy use and CO₂ emission in hotels indicates that increased energy consumption leads to environmental degradation (Ahmad et al., 2018). Therefore, responsible leadership among policymakers in the lodging and government sectors – LGU, DOT and DENR – should abound in the CAR. Benchmarking on the model embarked from this study can help in designing and/or enhancing the policy on room capacity standardization, considering the total area with its maximum capacity to keep the carbon emission at a lower rate. Furthermore, as a responsible leader in the community, one should create programs that regulate the number of tourists visiting the place to decrease the number of overnight stays. Besides, having the political will to implement reduced room occupancy throughout the lodging establishments in CAR can help reduce the carbon emissions from the lodging businesses. After all, one of the aims of the International Environment Protection Organization is to reduce CO₂ emissions in the tourism industry. Hence, responsible leadership in environmental quality preservation and sustainable natural resource management must help prevent and avoid greenhouse gas (GHG) emissions.

Most studies about carbon emission in the environment tackle about carbon dioxide emitted by transportation and factories. This study adds to the insights on the existing information about the carbon emission in the environment from the lodging establishments through the use of LPG, electricity and water consumption in the occupied guest rooms. The findings of the study open an avenue for globally responsible leadership in sustaining environmental quality and preservation of natural resources by revisiting and amending the policies on the number of room occupancy, guidelines and standardization, considering the total lodging area with its maximum capacity to keep the carbon emission at a minimum, thus contributing to the lowering of GHG emissions from the lodging industry.

The purpose of this paper is to explore when and how Korean firms learn from internationalization to develop new competencies to serve an international market.

This study adopted a contingency perspective to examine the relationship between organizational coordination and organizational implementation capabilities. A conceptual framework was tested based on data obtained from Korean firms.

The results suggested a discrepancy between the direct and indirect influences of internationalization. On the one hand, there is an inverted U-shaped pattern in the direct relationship between internationalization and organizational implementation capabilities; that is, high levels of internationalization may reduce organizational implementation capabilities. On the other hand, the evidence for a U-shaped moderation suggests that high levels of internationalization can help a firm become capable of amplifying the value of cross-functional coordination in organizational implementation capabilities. In addition, technological changes weaken the positive impact of organizational coordination on organizational implementation capabilities.

Empirical research on the role of internationalization and dynamic environments in the context of new product development (NPD) affirms the importance of testing the curvilinear moderation beyond a linear two-way interaction.

The present study offers insights into the importance of high levels of internationalization in enabling Korean firms to create effective cross-functional coordination to serve an international market with new products.

This is the first review focusing on the role of internationalization in NPD.

This paper aims to present a new micro‐impact tester developed for characterizing the impact properties of solder joints and micro‐structures at high‐strain rates, for the microelectronic industry, and the results evaluated for different solder ball materials, pad finishes and thermal histories by using this new tester. Knowledge of impact force is essential for quantifying the strength of the interconnection and allows quantitative design against failure. It also allows one‐to‐one comparison with the failure force measured in a standard quasi‐static shear test.

An innovative micro‐impact head has been designed to precisely strike the specimen at high speed and the force and displacements are measured simultaneously and accurately during the impact, from which the failure energy may be calculated.

The paper demonstrates that, peak loads obtained from the impact tests are between 30 and 100 percent higher than those obtained from static shear tests for all combinations of solder alloy and pad finish. The SnPb solder alloy had the maximum energy to failure for all pad finishes. Of all the lead‐free solders, the SnAg solder alloy had the highest energy to failure. Static shearing induces only bulk solder failure for all combinations of solder alloy and pad finish. Impact testing tends to induce bulk solder failure for SnPb solder and a mixture of bulk and intermetallic failure in all the lead‐free solder alloys for all pad finishes. In general, the peak loads obtained for solder mask defined pads are significantly higher than those for non‐SMD (NSMD) pads. The results obtained so far have highlighted the vulnerability of NSMD pads to drop impact.

The work provides a new solution to the microelectronics industry for characterizing the impact properties of materials and micro‐structures and provides an easy‐to‐use tool for research or process quality control.

The new micro‐impact tester developed is able to perform solder ball shear testing at high speeds, of up to 1,000 mm/s, and to obtain fracture characteristics similar to those found in drop impact testing using the JEDEC board level testing method JESD22‐B111 – but without the complexity of preparing specialized boards. This is not achievable using standard low‐speed shear testers.

This study aims to identify and rank the significant determinants of stress among tourism and hospitality employees.

A mixed-method approach is used to identify and rank workplace stressors. Particularly, the synthesis of relative literature and interview with the panel of experts resulted in the preliminary identification of workplace stressors. Underpinned by fuzzy theory, in addition, the fuzzy analytical hierarchy process is used to rank identified criteria and relative sub-criteria.

Results of three-wave investigation lead to an index comprising key components and weighted ranking of workplace stressors in the tourism and hospitality industry with job characteristics as the most important criteria and mental demand as the most salient sub-criteria influencing stress at work.

The pattern of findings enhances the current knowledge regarding significant workplace stressors in the tourism and hospitality industry.

Compositional framework and the weight-based ranking of identified components may act as a source of strategic solution for managers to reduce and manage stress among employees.

Workplace stressors have attracted considerable research attention, however, no general consensus yet exists among scholars and practitioners conferring to the key composition and relative importance of workplace stressors.

There are many different pollution reduction strategies even within different ports in the same country. Every port can learn from these environmental protection strategies. What remains universally key, though, is to select the optimum strategy to reduce pollution. This paper aims to use a fuzzy analytic hierarchy process (FAHP) to prioritize the relative weights of key criteria assessing the port environmental protection and select the best port in Taiwan.

Four criteria and eleven sub-criteria of the FAHP model are developed through expert interviews and relevant literature review. Three alternative ports considered are Kaohsiung, Keelung and Taichung. The expert questionnaire samples (23) include four groups: shipping operators, port operators, governmental officials and academics.

Results indicate that finance is the most important evaluation criteria, followed by port environmental policy, technology and stakeholders. Among the three ports compared, Kaohsiung Port is selected as the best port, followed by Keelung and Taichung port.

The result of this paper can help fill the gap in the existing literature regarding decision analysis techniques for port pollution regulation and expect to present a holistic picture of the important evaluation criteria related to port environmental protection as well as raise issues of public awareness concern and consequently improve green port sustainability.