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This study aims to tackle control challenges in soft robots by proposing a visually-guided reinforcement learning approach. Precise tip trajectory tracking is achieved for a soft arm manipulator.

A closed-loop control strategy uses deep learning-powered perception and model-free reinforcement learning. Visual feedback detects the arm’s tip while efficient policy search is conducted via interactive sample collection.

Physical experiments demonstrate a soft arm successfully transporting objects by learning coordinated actuation policies guided by visual observations, without analytical models.

Constraints potentially include simulator gaps and dynamical variations. Future work will focus on enhancing adaptation capabilities.

By eliminating assumptions on precise analytical models or instrumentation requirements, the proposed data-driven framework offers a practical solution for real-world control challenges in soft systems.

This research provides an effective methodology integrating robust machine perception and learning for intelligent autonomous control of soft robots with complex morphologies.

By applying the American Customer Satisfaction Index (ACSI) model to virtual art exhibitions, this research aims to reveal insights into the factors impacting visitor satisfaction and electronic word-of-mouth (e-WOM). Furthermore, the investigation of exhibition promotion seeks to understand how external factors contribute to the overall visitor experience in virtual art exhibitions.

With advancements in virtual communication technology and the transformative impact of the COVID-19 pandemic in recent years, there has been a notable surge in the popularity of virtual art exhibitions based on the Internet. This study uses the ACSI model to examine visitor satisfaction and e-WOM in virtual art exhibitions. Additionally, it explores the influence of exhibition promotion on the ACSI model.

Key findings revealed that 1) both promotion efforts and e-WOM exhibited significant relationships with the ACSI model, and 2) most of the relationships within the ACSI model were consistent with previous research outcomes.

This study extends the ACSI model’s application to virtual art exhibitions, enhancing its relevance. Additionally, it addresses the knowledge gap concerning the direct impact of promotion on audience expectations and its relationship with the ACSI model in virtual art exhibitions. Furthermore, the research explores the influence of customer satisfaction on electronic word-of-mouth in exhibitions, offering valuable insights for exhibition evaluation systems. The study serves as a guide, providing data and models for researchers investigating virtual art exhibitions.

In smart cities striving for innovation, development, and prosperity, hydrogen offers a promising path for decarbonization. However, its effective integration into the evolving energy landscape requires understanding regional intricacies and identifying areas for improvement. This chapter examines hydrogen transport from production to utilization, evaluating technologies’ pros, cons, and process equations and using Analytic Hierarchy Process (AHP) as a Multi-Criteria Decision-Making (MCDM) tool to assess these technologies based on multiple criteria. It also explores barriers and opportunities in hydrogen transport within the 21st-century energy transition, providing insights for overcoming challenges. Evaluation criteria for hydrogen transport technologies were ranked by relative importance, with energy efficiency topping the list, followed by energy density, infrastructure requirements, cost, range, and flexibility. Safety, technological maturity, scalability, and compatibility with existing infrastructure received lower weights. Hydrogen transport technologies were categorized into three performance levels: low, medium, and high. Hydrogen tube trailers ranked lowest, while chemical hydrides, hydrail, liquid organic hydrogen carriers, hydrogen pipelines, and hydrogen blending exhibited moderate performance. Compressed hydrogen gas, liquid hydrogen, ammonia carriers, and hydrogen fueling stations demonstrated the highest performance. The proposed framework is crucial for next-gen smart cities, cutting emissions, boosting growth, and speeding up development with a strong hydrogen infrastructure. This makes the region a sustainable tech leader, improving air quality and well-being. Aligned with Gulf Region goals, it is key for smart cities. Policymakers, industries, and researchers can use these insights to overcome barriers and seize hydrogen transport tech opportunities.

In this research, we explore the adverse impact of foreign ownership on operational security, a critical operational implication of the liability of foreignness (LOF).

The empirical analysis is based on a multi-country dataset from the World Bank Enterprises Survey, which contains detailed firm-level information from over 8,902 firms in 82 emerging market countries. We perform a series of robustness checks to further confirm our findings.

We find that a high ratio of foreign ownership is associated with an increased likelihood of security breaches and higher security costs. Our results also indicate that high levels of host countries’ institutional quality and firms’ local embeddedness can mitigate such vulnerability in operational security.

This study is one of the first to uncover the critical operational implication of the LOF, indicating that a high ratio of foreign ownership exposes firms to operational security challenges.

Through empirical research, this study aims to explore the role of competition and cooperation in coupling open innovation (OI).

In this study, the hierarchical regression analysis method was used to test each hypothesis.

Cooperation has an inverted U-shaped moderating effect between coupling OI and innovation performance. Competition negatively moderates the relationship between inbound-oriented coupling OI and innovation performance, and has an inverted U-shaped moderating effect between outbound-oriented coupling OI and innovation performance. When competition and cooperation coexist, competition will passivate the moderating effect of cooperation between inbound-oriented coupling OI and innovation performance, and sharpen the moderating effect of cooperation between outbound-oriented coupling OI and innovation performance.

The role of competition and cooperation on different types of coupled innovation is studied for the first time. This research greatly enriches the theory of the effect of innovation network on innovation performance.

This research aims to enhance understanding of outsourcing dynamics from emerging markets by employing a bibliometric analysis of relevant scholarly articles. The study explores publication patterns, citation networks, author collaborations and contributions by different countries, offering insights for researchers and practitioners investigating outsourcing in these markets.

A comprehensive bibliometric analysis was conducted using 197 articles from the SCOPUS database, spanning January 1999 to June 2023. Established bibliometric techniques were utilized to analyze publication patterns, citation networks, author collaborations and country contributions, identifying key research themes and influential authors and institutions.

The study identified eight distinct research clusters, highlighting interdisciplinary collaborations, influential authors like Thomas Frisanco and Erdener Kaynak, and significant contributions from the United States and the UK. Notable organizational collaborations include the Hong Kong Polytechnic University and the University of Miami. These findings provide valuable insights into outsourcing practices and research trends in emerging markets.

The study acknowledges limitations such as sampling bias, language bias and publication bias, which may affect the generalizability of the findings. Future research should strive for more diverse and representative samples, including non-English publications and studies with non-significant results, to provide a more comprehensive understanding of outsourcing dynamics.

The findings offer practical insights for organizations considering outsourcing from emerging markets, guiding strategic decision-making and policy development. Understanding publication patterns and research themes can help organizations navigate location selection, vendor management, risk mitigation and performance evaluation in these markets.

Outsourcing can significantly impact employment, income generation, skill development and overall economic development in emerging markets. Policymakers can use these insights to foster business growth, infrastructure development and investment incentives, contributing to economic growth and employment opportunities.

This study provides a comprehensive bibliometric analysis of outsourcing from emerging markets, filling a gap in the existing literature. The insights gained can guide future research, inform strategic decision-making and enhance the understanding of outsourcing dynamics in these rapidly evolving markets.

Corporate donation behavior sends two financial-related signals, i.e. sufficient cash flow and self-confidence in future earnings. This paper aims to investigate whether these financial-related signals released by corporate donation drive investors to make more optimistic forecasts about the firm’s future earnings per share (EPS) and whether this effect varies across different historical earnings trends.

This study is based on a controlled online experiment with 553 MBA students.

The results demonstrate that a financial signaling mechanism works, but it is moderated by historical earnings trends. When the earnings trend is always increasing, the more the number of financial signals received, the higher the investors’ EPS forecast; when the earnings trend is fluctuating (down then up or up then down), investors’ EPS forecast is higher when they receive financial signal(s) than when they do not, but no additive effect occurs from receiving one signal to two signals; when the earnings trend is always decreasing, investors’ EPS forecast is irrelevant to the number of financial signals received.

To the best of the authors’ knowledge, this study is the first to experimentally investigate a possible mechanism to explain investors’ positive response to corporate social responsibility (CSR) (specifically, corporate donation) disclosures – the financial signaling mechanism. This study also extends the research on the impact of financial information on investors’ use of nonfinancial information by investigating the moderating role of historical earnings trends on the financial signaling mechanism of the CSR effect.

This study intends to (1) systematically review methodological, theoretical and empirical aspects of dynamic capabilities (DCs) research in international marketing; (2) identify problematic areas and gaps in the reviewed literature and (c) provide directions to address problematic aspects and fill the gaps in future research.

The study applies a systematic literature review methodology and covers 97 articles published between 2001 and 2022 in peer-reviewed journals ranked 2, 3, 4 and 4* in the Academic Journal Guide 2021.

The content analysis shows that (1) methodologically, the literature is dominated by single-country studies conducted mostly in Asia and Europe on a cross-section of industries, mostly adopting survey-based approaches with a cross-sectional time emphasis; (2) theoretically, dynamic capabilities view is mainly accompanied by resource-based view, followed by institutional-, organizational learning- and internationalization theories; and (3) according to the nomological network, DCs are predicted by firm-characteristics, factors related to networks/relationship/partnerships and managerial characteristics, while they act as predictors of performance-related, strategy-related and operational change and renewal-specific outcomes. Several problematic aspects and gaps for each part of the review are diagnosed.

The authors provide a comprehensive assessment of current knowledge on methodological, theoretical and empirical aspects of the relevant literature, map a nomological network of variables surrounding DCs in international marketing research and offer future research directions capitalizing on the problems and gaps identified in the review.

Gen Z, the largest and fastest-growing consumer generation, is transforming the hospitality industry as both customers and employees. By critically synthesizing empirical literature, this study aims to explore how this generation’s distinct behaviors are reshaping customer expectations and workforce trends within the sector.

A critical synthesis of empirical studies was used to examine current research on Gen Z as customers and employees in the hospitality industry.

Gen Z exhibits distinct preferences and expectations in their dual roles as customers and employees, prompting substantial shifts in hospitality industry standards and practices. They rely heavily on digital channels and peer recommendations when making travel decisions and expect highly personalized, tech-enabled experiences. This young cohort of travelers values unique, authentic and sustainable offerings. As employees, Gen Z prioritizes flexible work arrangements, career growth and workplaces aligned with sustainability, diversity and social responsibility. Hospitality providers must adapt their customer experience, marketing and HR strategies to meet these evolving demands.

To engage Gen Z customers and employees in the hospitality industry effectively, businesses must prioritize personalized experiences, leverage technology and adopt sustainable practices aligned with Gen Z’s social and environmental values. Moreover, offering adaptable work environments with remote opportunities and investing in professional development enhances appeal for Gen Z employees. Understanding Gen Z’s values and behaviors can help businesses improve customer satisfaction, attract top talent and remain competitive in a rapidly evolving market.

This study represents a preliminary endeavor to provide a critical assessment of Gen Z in the hospitality and tourism sector, offering novel insights into their travel behaviors, preferences and work values. It explores their expectations, attitudes toward work and career choices, offering guidance on how businesses can meet the evolving demands of this key demographic.

By exploring the halalness and food safety risks from the perspective of technology and the relationship among them, this study aims to make quantitative predictions of such risks in the broiler supply chain to determine the critical control points (CCPs) in Hazard Analysis Critical Control Point (HACCP).

This study integrates Interpretive Structural Modeling (ISM) and Bayesian Network (BN) to achieve the objectives. Data were collected from focus group discussions (FGDs) with experts and direct observations at the broiler supply chain.

This paper identified 19 risks in the Indonesian broiler supply chain. The risk for halalness and food safety reached 30.92%, indicating that assuring halalness and food safety remains improbable or unlikely. The two CCPs of halalness and food safety are the knife’s sharpness and the vehicle’s storage temperature.

This study quantifies the halalness and food safety risks in the Indonesian broiler supply chain, but it only involves one step forward and one step backward in the slaughterhouse’s chain.

The findings can provide insights for stakeholders, such as business owners, employees, management system auditors and consumers, regarding the critical control points of halalness and food safety in the broiler supply chain to improve the halalness and food safety management systems.

This study’s novelty lies in the examination of halalness and food safety risks using a risk prediction model to determine CCPs for the HACCP plan in the broiler supply chain in Indonesia.