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Based on previous literature on big data analytics (BDA) and supply chain (SC) management, the purpose of this paper is to address the factors determining firms’ intention to adopt BDA in their daily operations. Specifically, this study classifies potential factors into four categories: technological, organizational, environmental factors, and SC characteristics.

Drawing on the innovation diffusion theory, a model consisted of direct technological and organizational factors as well as moderators was proposed. Subsequently, survey data was collected from 210 organizations. Then we used SPSS and SmartPLS to analyze the collected data.

The empirical results revealed that perceived benefits and top management support can significantly influence the adoption intention. And environmental factors, such as competitors’ adoption, government policy, and SC connectivity, can significantly moderate the direct relationships between driving factors and the adoption intention.

Given the fact that big data (BD) usage in logistics and SC management is still in the start-up stage, the interpretations toward BDA might vary from different perspectives, thus causing some ambiguity in understanding the meaning and potential BD has. In addition, we collected data through questionnaires completed by IT managers, whose viewpoint may not fully represent that of an organization.

This paper tests the organizational adoption intention of BDA and extends the literature streams of BD and SC management simultaneously.

This research helps top managers assess the benefits of BDA as well as how to adjust their business strategy along the changes of environment and SC maturity.

This paper contributes to the literature of organizational adoption intention of BDA and extends the literature streams of BD and SC management simultaneously.

Prior studies on the impact of incentives on physicians’ online participation mainly focused on different incentives while ignoring the difficulty of setting monetary incentives efficiently. Based on goal-setting theory, the current research examines the relationship between incentives with goals of varying difficulty and professional health knowledge sharing (PHKS) in online health knowledge-sharing platforms (OHKSPs).

Four field experiments with different monetary incentives were conducted by one of China’s largest OHKSPs, with whom the researchers cooperated in data collection. Monthly panel data on 10,584 physicians were collected from September 2018 to December 2019. There were 9,376 physicians in the treatment group and 1,208 in the control group. The authors used a difference-in-difference (DID) model to explore the research question based on the same control group and the Chow test with seemingly unrelated estimation (sureg) to compare regression coefficients between four groups. Several robustness checks were performed to validate the main results, including a relative time model, multiple falsification tests and a DID estimation using the propensity score matching method.

The results show that the monetary incentive significantly positively affected the volume of physicians’ PHKS directly with negative spillover to the duration of physicians’ PHKS. Moreover, the positive effect of incentives with higher difficulty on the volume of physicians’ PHKS was significantly smaller than that of incentives with low difficulty. Finally, professional title had a positive moderating effect on the volume of goal difficulty setting and did not significantly moderate the effect on the duration of physicians’ PHKS.

Some limitations of this study are: firstly, because the field experiments were enterprise benefit oriented, the treatment and control groups were not balanced. Secondly, the experiments for different incentive measures were relatively similar, making it challenging to validate a causal effect. Finally, more consideration should be given to the strategy for setting hierarchical incentives in future research.

The research indicates that monetary incentives have a bilateral effect on PHKS, i.e. a positive direct effect on the volume of physicians’ contributions and a negative spillover effect on the duration of physicians’ PHKS. The professional titles of physicians also moderate such bilateral switches of PHKS. Furthermore, when a physician’s energy is limited, the goal difficulty setting of the incentive mechanism tends to be low. The more difficult the incentives are, the more inefficient the effects on physicians’ PHKS will be.

This study aims to investigate whether firms purchase directors' and officers' liability (D&O) insurance when the country-level economic policy uncertainty (EPU) is high.

This study uses D&O insurance data from Chinese listed firms between 2003 and 2019 to conduct regression analyses to examine the association between D&O insurance and EPU.

The results show that government EPU, despite being an exogenous factor, increases the likelihood of firms' purchasing D&O insurance, and this effect is more pronounced when firms are exposed to great share price crash risk and high litigation risk, suggesting that firms intend to purchase D&O insurance possibly due to the accentuated stock price crash risk and litigation risk associated with EPU. In addition, the results indicate that the effect of EPU on the D&O insurance purchase decision is moderated by the provincial capital market development and internal control quality.

The study highlights the role of uncertain economic policies in shareholder approval of D&O insurance purchases.

The study enriches the literature on the determinants of D&O insurance purchases by documenting novel evidence that country-level EPU is a key institutional factor shaping firms' decisions to purchase D&O insurance.

Drawing upon affective events theory (AET), this study aims to explore the relationship between tourists’ perceived deception and moral emotions, dissatisfaction, revisit intention and negative word of mouth.

Online data from Questionnaire Star were used to examine the proposed research model. A total of 437 valid questionnaires were collected.

The results suggest that tourist scams as “affective events” could trigger tourists’ moral emotions and dissatisfaction, thereby decreasing their revisit intention and generating negative word of mouth. Additionally, moral emotions were found to act as a mediator between perceived deception and dissatisfaction.

The insights uncovered in this study reveal the mechanisms behind tourists’ reactions to scams and provide implications for tourism destinations, suggesting ways to alleviate the adverse impact of tourist scams.

To the best of the authors’ knowledge, this is the very first study to investigate tourists’ reactions to tourist scams.

旅游欺诈, 道德情感和游后行为：对道德情感, 不满, 重游意向和负面口碑的影响

研究基于情感事件理论 (AET), 旨在探究游客的感知欺骗与道德情绪、不满、重游意向和负面口碑之间的关系。

通过问卷星收集的线上数据对研究模型进行了检验。共回收有效问卷437份。

本研究的结果表明, 作为“情感事件”的旅游欺诈可能会引发游客的道德情绪和不满, 从而降低他们的重游意向, 并产生负面口碑。此外, 研究发现道德情绪在感知欺骗和不满之间发挥了中介作用。

本研究揭示了游客对旅游欺诈的反应及其内在机制, 并提出了降低旅游欺诈负面影响的方法, 为旅游目的地提供了启示。

这是探索游客如何应对旅游欺诈事件的首批研究之一。

Estafas turísticas, emociones morales y comportamientos: impactos en las emociones morales, la insatisfacción, la intención de volver a visitar y el boca a boca negativo

Resumen

Basándose en la teoría de eventos afectivos (AET), este estudio buscó explorar la relación entre el engaño percibido por los turistas y las emociones morales, la insatisfacción, la intención de volver a visitar y el boca a boca negativo.

Para probar el modelo de investigación propuesto se utilizaron datos en línea procedentes de un cuestionario. Se recogieron un total de 437 cuestionarios válidos.

Los resultados sugieren que las estafas turísticas como “eventos afectivos” podrían desencadenar emociones morales e insatisfacción en los turistas, disminuyendo así su intención de volver a visitar y generando un boca a boca negativo. Además, se encontró que las emociones morales actúan como mediadoras entre el engaño percibido y la insatisfacción.

Los conocimientos descubiertos en este estudio revelan los mecanismos detrás de las reacciones de los turistas a las estafas y brindan implicaciones para los destinos turísticos, sugiriendo formas de mitigar el impacto adverso de las estafas turísticas.

Este es el primer estudio que examina las reacciones de los turistas a las estafas turísticas.

The screw extruder is applied in cement-three-dimensional (3D) printing. The cement paste flow in 3D printing is the typical Herschel–Bulkley fluid. To understand the flow in the channel, the improved lattice Boltzmann method (LBM) is proposed.

For Herschel–Bulkley flow, an improved LBM is presented to avoid the poor stability and accuracy. The non-Newtonian effect is regard as a special forcing term. The Poiseuille flow is taken to discuss the detailed process of the method. With the method, the analytical solution and numerical solution are obtained and compared. Then, the effect of the initial yield stress on the numerical solution is both explored by the shear-thickening fluid and the shear-thinning fluid. Moreover, the variations of the relative errors under different lattice nodes and different power-law indexes are analyzed. Finally, the method is applied into the simulation of the flow in the extruder of cement-3D printing.

The results show that the improved method is effective for Herschel–Bulkley fluids, which can simulate the flow in the extruder stably and accurately.

The simulation can contribute to understand the cement paste flow in the screw extruder, which helps to optimize the structure of the extruder in the following periods.

The improve method provide a new way to analyze the flow in the extruder of cement-3D printing. Also, in the past research, LBM for Herschel–Bulkley fluid is ignored, whereas the study can provide the reference for the numerical simulation.

Taking a dynamic endogenous perspective, this study aims to examine neglected endogeneity issues in the relationship between corporate social responsibility (CSR) and brand value and the relationship’s moderation by corporate governance.

The study uses the three-stage least squares (3SLS) method on 990 samples of the 110 most valuable listed companies published by the World Brand Lab for 2013–2021 to empirically test the two-way interactive endogenous relationship between CSR and brand value.

The findings reveal that increasing investment in CSR increases brand value in the current period, which prompts companies to reduce investment in social responsibility, resulting in a decline in future brand value. Concerning the moderating effect of corporate governance variables, the size of the board of directors and the board’s proportion of independent directors positively regulate the relationship between CSR and brand value. By contrast, the proportion of executive shareholdings has a negative impact.

This study’s findings complement previous studies on endogeneity in the relationship between CSR and brand value, and enrich the literature on corporate governance, CSR and brand value as a whole. In addition, the study uses the 3SLS method, which avoids endogeneity problems and eliminates the one-sidedness of the subjective selection of instrumental variables.

The purpose of this paper is to propose a framework of value co-creation in platform ecological circle for cold chain logistics enterprises to guide the transformation and development of cold chain logistics industry.

This paper establishes a conceptual framework for the research on the platform ecological circle in cold chain logistics, utilizes a structural equation model to investigate the influencing factors of the value co-creation of the platform ecological circle in the cold chain logistics enterprises and elaborates the internal relations between different influencing factors regarding the value co-creation and enterprises’ performance.

Results show that resource sharing in logistics platform ecological circle can stimulate the interaction among enterprises and this produces a positive influence on their dynamic capabilities, which, in turn, affects the they to work together to plan, implement and solve problems, so as to achieve the goal of improving enterprise performance.

The shared resources and value co-creation activities in the platform ecological circle are very important for the transformation and development of cold chain logistics enterprises. Therefore, enterprises should promote value co-creation through realizing resource sharing and creating a win-win cooperation mechanism.

This paper targets at incorporating the resource sharing in platform ecological circle for cold chain logistics enterprises, explores from an empirical perspective the role of the resource sharing in cold chain logistics enterprises in enhancing the dynamic capabilities of enterprises, thereby encouraging the value co-creation behavior, and ultimately boosts enterprise performance and stimulates business development.

The aim of the current study is to empirically assess the effects of organizational flexibility on project portfolio (PP) performance, with the mediating role of innovation and moderating effects of environmental dynamism (ED) and absorptive capability (AC).

Data were collected from 173 manufacturing firms and analyzed using structural equation modeling (SEM) with the help of a partial least squares (PLS) approach.

Results show that innovation partially mediates the relationship between organizational flexibility and PP performance. Furthermore, the moderating effect of ED between organizational flexibility and innovation was analyzed. Additionally, AC also observed as a moderator between innovation and PP performance.

Based on the resource-based view, this study contributes to the literature by addressing the roles of innovation, ED and AC in the relationship between organizational flexibility and PP performance. Implications for managers also discussed in the end; for example, to be more competitive, they should incorporate flexibility into the firm to encourage innovation. It also emphasizes to select new innovative opportunities that correspondingly have effects on the PP performance.

Despite the extensive academic interest in social media sentiment for financial fields, multimodal data in the stock market has been neglected. The purpose of this paper is to explore the influence of multimodal social media data on stock performance, and investigate the underlying mechanism of two forms of social media data, i.e. text and pictures.

This research employs panel vector autoregressive models to quantify the effect of the sentiment derived from two modalities in social media, i.e. text information and picture information. Through the models, the authors examine the short-term and long-term associations between social media sentiment and stock performance, measured by three metrics. Specifically, the authors design an enhanced sentiment analysis method, integrating random walk and word embeddings through Global Vectors for Word Representation (GloVe), to construct a domain-specific lexicon and apply it to textual sentiment analysis. Secondly, the authors exploit a deep learning framework based on convolutional neural networks to analyze the sentiment in picture data.

The empirical results derived from vector autoregressive models reveal that both measures of the sentiment extracted from textual information and pictorial information in social media are significant leading indicators of stock performance. Moreover, pictorial information and textual information have similar relationships with stock performance.

To the best of the authors’ knowledge, this is the first study that incorporates multimodal social media data for sentiment analysis, which is valuable in understanding pictures of social media data. The study offers significant implications for researchers and practitioners. This research informs researchers on the attention of multimodal social media data. The study’s findings provide some managerial recommendations, e.g. watching not only words but also pictures in social media.

In this paper, a new flexible piezoresistive pressure sensor which uses non-woven fabric as the flexible substrate and sliver nanowires (AgNWs) as the conductive materials was reported.

The compression test of the pressure sensors was carried out at different compression frequencies and found that the sensors had more than 5,000 times reusability at high frequency.

When pressure sensors were applied to different parts of the human body, such as fingers, elbows, knees and throat, the sensors respond differently to different degrees of movement.

The proposed pressure sensor has broad application prospects in the human motion detection.