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This study used phenomenological narrative methodology to get insights into lived experiences of 10 Asian immigrant woman scholars in science, technology, engineering, and mathematics (STEM) in US institutions of higher learning. A feminist research approach overall guided the study. The concepts and theories of intersectionality, cultures of the academy, mindset, and mind tools framed the examination of the impacts of gender and work–family–community environments on the career pipeline of this group of women. The data were from two sources: (1) 48 documents on the participants and their institutions and (2) in-depth semi-structured interviews with these 10 participants. The findings show that gender and environment impacted the Asian women scholars’ career pipeline and advancement differently. On the negative side, barriers separately or jointly rooted in gender-based, racial, and hierarchical biases at stages of their career pipeline, from professional education to faculty appointment and leadership, challenged them. On the positive side, other gender-based and environmental agents and interventions supported them to overcome obstacles to their upward career mobility. This chapter has implications for how higher education institutions can improve their gender-based and environmental policies and praxis and facilitate the advancement of Asian immigrant women in STEM. It also has implications for how Asian women can prepare themselves to be successful in academic STEM careers.

Challenges related to sustainability have increasingly become pivotal in the realm of business strategy and innovation. Nevertheless, the incorporation of sustainability principles into business strategies and innovative practices remains a subject of ongoing scholarly debate. This paper aims to undertake a thematic literature review on this theme.

Data were gathered from the Scopus, Web of Science and Science Direct databases. The final sample comprised 85 papers. For analytical purposes, this study adopted topic modeling using Latent Dirichlet Allocation (LDA) methodology.

The authors identified five dominant topics concerning the relationship between sustainability, innovation and business strategy. Through a cross-analysis of these topics, the authors theorize that a sustainable innovation strategy encompasses three complementary and interdependent dimensions: capabilities, management and firm. Building on this analysis, the authors outline a research agenda aimed at further exploration and advancement of this theme.

This review enhances the synthesis of research on the theme, prompting reflections on how companies can initiate innovative sustainable actions that align with their business strategy. Additionally, the authors identify specific elements that require improvement to enhance each of the three dimensions of sustainable innovation strategies, such as eco-efficiency, circular economy and the adoption of innovative business models oriented toward services/servitization.

By interweaving sustainability with innovation and business strategy, this study underscores the critical topics that companies and public policymakers should address to support sustainable development at the national level.

While previous literature reviews have focused on the dyadic relationships between sustainability and strategy, or sustainability and innovation, this study extends the boundaries of knowledge by integrating these three concepts into a hybrid theoretical stream.

This study aims to examine how dynamic pricing impacts customer perceptions of restaurants and sentiment toward prices via online reputation metrics. In addition, to deepen the debate on dynamic pricing, a novel definition is drawn by exploring the specific forms of discrimination that can manifest in different industries.

Leveraging a comprehensive data set of restaurant reviews sourced from TripAdvisor, the study focuses on restaurants affiliated with one of the largest groups of restaurants in Spain. We used a quasi-experimental method (difference-in-differences), to study how dynamic pricing strategies influence customers’ perceptions of value based on numerical ratings. Meanwhile, we used a Bidirectional Encoder Representations from Transformers model on the textual component of reviews to dissect the emotional nuances of dynamic pricing.

Results did not reveal a causal impact of dynamic pricing strategies on customers’ perceptions. Moreover, the sentiment analysis shows no heightened negative view after introducing dynamic pricing in restaurants compared to the control group. Contrary to what previous literature suggests, our findings indicate that implementing dynamic pricing does not adversely affect customers’ perceptions or sentiments regarding prices in restaurants.

The quasi-experimental setting of the study presents inherent challenges in establishing causality that require further investigation using controlled experimental settings. Nevertheless, our study reveals that restaurant customers do not perceive dynamic pricing as unfair. This finding is critical for restaurant managers when considering the implementation of dynamic pricing and revenue management strategies. In addition, our study highlights the importance of considering not only numerical ratings but customer sentiment analysis as well. This more holistic approach to assessing the impact of pricing strategies can give restaurant managers a deeper understanding of customer reactions. In addition, a more rigorous definition of dynamic pricing is provided, clarifying its nature and its distinction in using different price discrimination.

This study contributes to the evolving understanding of dynamic pricing strategies’ impact on customers’ perceptions and sentiments in the restaurant industry. It aims to fill the gap in understanding customer reactions to algorithmically determined prices (via revenue management systems such as DynamEat) in this industry. The combination of causal inference and sentiment analysis offers a novel perspective, shedding light on the nuanced connections between dynamic pricing implementation and customers’ emotions.

本研究考察动态定价如何通过在线声誉指标影响顾客对餐厅的感知和对价格的情绪。此外, 为了深化对动态定价的讨论, 通过探索不同行业中可能表现出的具体歧视形式, 提出了一个新的定义。

利用从TripAdvisor获取的餐厅评论的全面数据集, 研究聚焦于与西班牙最大的餐厅集团之一相关联的餐厅。我们采用了准实验方法（差异中的差异）, 研究动态定价策略如何根据数值评分影响顾客对价值的感知。同时, 我们运用BERT模型对评论的文本成分进行分析, 以解析动态定价的情感细微差别。

结果没有揭示动态定价策略对顾客感知产生因果影响。此外, 情绪分析显示, 在餐厅引入动态定价后, 与对照组相比, 没有增加消极观点。与以往文献所述相反, 我们的发现表明, 实施动态定价并不会对顾客对价格的感知或情绪产生负面影响。

研究的准实验设置存在确立因果关系的固有挑战, 需要通过控制实验设置进一步调查。尽管如此, 我们的研究揭示了餐厅顾客不认为动态定价不公平。这一发现对餐厅经理在考虑实施动态定价和收入管理策略时至关重要。此外, 我们的研究强调, 考虑顾客情绪分析和数值评分的重要性。这种更全面的方法评估定价策略的影响, 可以让餐厅经理更深入地理解顾客反应。此外, 提供了一个更严格的动态定价定义, 澄清了其性质及其在使用不同价格歧视中的区别。

本研究对于理解动态定价策略对餐厅行业顾客感知和情绪影响的不断发展有所贡献。它旨在填补对客户对算法确定的价格（通过收入管理系统（RMS）例如DynamEat）在此行业中反应的理解空白。因果推断与情绪分析的结合提供了新的视角, 揭示了动态定价实施与顾客情绪之间微妙的联系。

Este estudio examina cómo la fijación dinámica de precios impacta en las percepciones de los clientes de los restaurantes y en el sentimiento hacia los precios a través de métricas de reputación en línea. Además, para profundizar en el debate sobre la fijación dinámica de precios, se propone una definición novedosa explorando las formas específicas de discriminación que pueden manifestarse en diferentes industrias.

Utilizando un conjunto de datos exhaustivo de reseñas de restaurantes obtenidas de TripAdvisor, el estudio se centra en los restaurantes afiliados a uno de los mayores grupos de restaurantes en España. Empleamos un método cuasiexperimental (diferencias en diferencias) para estudiar cómo las estrategias de precios dinámicos influyen en las percepciones de valor de los clientes basándonos en las calificaciones numéricas. Mientras tanto, empleamos un modelo BERT en el componente textual de las reseñas para desentrañar los matices emocionales de la fijación dinámica de precios.

Los resultados no revelaron un impacto causal de las estrategias de precios dinámicos en las percepciones de los clientes. Además, el análisis de sentimiento no muestra una visión negativa aumentada después de introducir la fijación dinámica de precios en los restaurantes en comparación con el grupo de control. Contrariamente a lo que sugiere la literatura previa, nuestros hallazgos indican que la implementación de precios dinámicos no afecta negativamente las percepciones o los sentimientos de los clientes respecto a los precios en los restaurantes.

La configuración cuasiexperimental del estudio presenta desafíos inherentes para establecer la causalidad que requieren una investigación más profunda utilizando entornos experimentales controlados. Sin embargo, nuestro estudio revela que los clientes de restaurantes no perciben la fijación de precios dinámica como injusta. Este hallazgo es crítico para los gerentes de restaurantes al considerar la implementación de la fijación de precios dinámica y estrategias de gestión de ingresos. Además, nuestro estudio resalta la importancia de considerar no solo las calificaciones numéricas sino también el análisis del sentimiento del cliente. Este enfoque más holístico para evaluar el impacto de las estrategias de precios puede dar a los gerentes de restaurantes una comprensión más profunda de las reacciones de los clientes. Además, se proporciona una definición de fijación de precios dinámica más rigurosa, aclarando su naturaleza y su distinción en el uso de diferentes discriminaciones de precios.

Este estudio contribuye a la comprensión en evolución del impacto de las estrategias de fijación de precios dinámicos en las percepciones y sentimientos de los clientes en la industria restaurantera. Su objetivo es llenar el vacío en la comprensión de las reacciones de los clientes a los precios determinados algorítmicamente (a través de sistemas de gestión de ingresos (RMS) como DynamEat) en esta industria. La combinación de inferencia causal y análisis de sentimientos ofrece una perspectiva novedosa, arrojando luz sobre las conexiones matizadas entre la implementación de la fijación de precios dinámicos y las emociones de los clientes.

Given the growing significance of contemporary socio-economic and infrastructural conversations of Public-Private Partnerships (PPP), this research seeks to provide a general overview of the academic landscape concerning PPP.

To offer a nuanced perspective, the study adopts the Latent Dirichlet Allocation (LDA) methodology to meticulously analyse 3,057 journal articles, mapping out the thematic contours within the PPP domain.

The analysis highlights PPP's pivotal role in harmonising public policy goals with private sector agility, notably in areas like disaster-ready sustainable infrastructure and addressing rapid urbanisation challenges. The emphasis within the literature on financial, risk, and performance aspects accentuates the complexities inherent in financing PPP and the critical need for practical evaluation tools. An emerging focus on healthcare within PPP indicates potential for more insightful research, especially amid ongoing global health crises.

This study pioneers the application of LDA for an all-encompassing examination of PPP-related academic works, presenting unique theoretical and practical insights into the diverse facets of PPP.

This study aims to develop and validate a scale to measure Teacher Entrepreneurial Behavior (TEB), which encapsulates the behaviors teachers employ to identify and amplify innovation in schools. TEB are catalysts for innovation, navigating their peers through risks and building trust, which empowers the collective to transcend structural constraints and pioneer new educational initiatives. Despite the importance of TEB, there is a notable absence of a well-validated measurement instrument.

Drawing on existing empirical TEB studies, this study conducts four interconnected studies following scale-development procedures. The content validity, construct validity, internal consistency, and external validity of the proposed scale were assessed using exploratory factor analysis, confirmatory factor analysis, invariance analysis, and regression analysis.

The result is a multidimensional TEB model featuring 15 items with a good model fit. The TEB scale comprises four factors: Advocating Innovation, Seeking Resources, Cultivating Cohesiveness, and Mitigating Risk.

This study represents a rigorous attempt to develop and validate a reliable instrument for measuring TEB. It provides a validated tool for future research aimed at understanding the nature of TEB as an independent construct and associated dynamics. Accurate measurement is important for the robustness and replicability of research. Furthermore, the insights gained on TEB scale can significantly inform both the preparation and evaluation of teacher leaders by emphasizing the importance of entrepreneurial behaviors in promoting teachers’ collaboration and actualizing innovative initiative.

This study employed the viewer factors of live streamers on Instagram to influence the attachment and flow and then to investigate the impact of live streamer viewers’ relatedness needs satisfaction and entertainment needs satisfaction.

This study emphasized target audiences who followed live streamers on Instagram. We employed quota sampling to dispatch questionnaires on social media platforms. Therefore, 600 valid samples were collected in Taiwan and analyzed using structural equation modeling.

Empirical results show that the major route was from cognitive curiosity positively influencing attachment, then primarily positively affecting followers’ relatedness needs satisfaction. The empirical results also indicate that social media dependency positively influenced attachment, then contributing to viewers’ entertainment needs satisfaction.

Future research should explore various social media platforms (e.g. Line, Twitter, YouTube) to compare differences. Studies could also examine cross-national attitudes toward live-streaming and brands due to cultural or religious factors. With more funding, future research should increase sample sizes beyond 600 to reduce statistical bias. Additionally, incorporating homophily between viewers and live streamers into the viewer model on Instagram is recommended for further investigation.

This study is the novelty to enlarge the influences of emotional connection to two types of needs satisfaction when highlighting that perceived loneliness, cognitive curiosity and social media dependency positively affect needs satisfaction through attachment and flow in live streamer recommendations.

The aim of this research is to gain insight into the emotional impact and cognitive evaluations that these applications have on users from their own perspective.

Sentiment analysis methodology is used to analyze users’ comments and ratings, assess perceived benefits and determine the emotional impact these applications have on them.

The results suggest a benefit for happiness scholars, professionals, users and organizations focused on employee well-being and provide valuable insights into the evolving landscape of happiness applications. While the study relies on publicly available user data, it complements, but does not replace, market research or product evaluation conducted by app developers and companies.

Among the myriad channels disseminating the assumption that the good life is attainable through personal means and psychological know-how, smartphone applications have emerged as accessible, cost-effective and attractive tools to help users become happier and alleviate feelings of distress and discomfort.

Referring to transaction costs theory, resource based view and social exchange theory, this paper examines the interplay between selected dimensions of suppliers’ relationships with foreign buyers, specifically relational trust, contract specificity and relationship-specific investments, as well as analyzes the effects those dimensions have on the suppliers’ product innovation.

This study uses survey data from 179 small- and medium-sized Polish manufacturing suppliers of high-tech products. Information was collected on dyadic relationships with their key foreign buyers and used as an input to a structural model consisting of multiple linear regressions.

It was discovered that trust and investments have a mutual positive impact on each other and individually contribute to the supplier’s product innovation. However, once both trust and investments were included in the model, only the latter showed significant effect. Contracts, on the other hand, showed different impact on innovation depending on how it was measured.

Managers should treat trust only as a mechanism to create supportive environment for investments, which exclusively have the power to improve supplier’s product innovation. Contracts’ role, in turn, should be limited to facilitating business relationships.

Only single quantitative studies analyzed trust, investments and contracts as determinants of supplier’s product innovation. Also, focus was not placed on high-tech SMEs in relationships with foreign buyers. As a result, our study provides unique insights on such relationships and unveils new details on an indirect link between trust and product innovation.