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The purpose of this paper is to describe the process of designing, developing and evaluating a prototype of an open government data (OGD) platform that provided user-centred experiences.

Based on the OGD lifecycle, an OGD prototype was created, which involved the system functionality, user interface, standard specification and security mechanism. The main functionalities of the system included data acquisition, data processing and data management. A usability test was conducted following the prototype implementation.

The usability test indicated that an OGD platform was desired to help the public to find, access, reuse and share government data effectively and efficiently. Functions, such as visualization, local download and digital watermark should be provided and integrated into the platform.

This paper provided a complete case study on the design of an OGD platform and a reference for information system developers to design such system in the future.

The purpose of this study is to find the multi-factor influence law of stress, strain rate and sulfate-reducing bacteria (SRB) on X70 pipeline steel in a simulated solution of sea mud and the order of influence of the three factors on X70 steel to develop a scientific basis for pipeline corrosion protection.

This paper studied the effects of stress, strain rate and SRB on the X70 pipeline steel corrosion behavior in simulated sea mud solution through orthogonal testing, electrochemical experiments and morphological observations.

The results of this study showed that stress proved to be the most relevant element for corrosion behavior, followed by SRB and strain rate. At high stresses (301 MPa and 576 MPa), stress dominated the corrosion behavior of X70 pipeline steel. However, at low stress (82 MPa), SRB played the most important role.

Subsea pipelines are in a very complex environmental regime that includes stress, strain rates and SRB, which often cause pipeline pitting and perforation. However, most scholars have only looked into the influence of single factors on metal corrosion. So, the single-factor experimental results of previous studies could hardly be applied to actual working conditions. There is an urgent need to understand the multi-factor influence law of stress, strain and SRB acting together on the pipeline corrosion behavior, especially to determine the dominant factor.

The purpose of this research is to examine the role of worry versus sadness in influencing young consumers’ purchase decisions and to clarify the differences across the worry–consumption versus the sadness–consumption relationships.

Three studies were conducted. Study 1 was a 3 (emotion: worry vs sadness vs neutral) × 2 (brand perceptions: conflicting vs consistent) between-subject design. Study 2 was a 3 (emotion: sadness vs worry vs neutral) × 2 (product type: social status associated vs hedonic) mixed design. Study 3 was a questionnaire survey.

The results demonstrate that worry induces young consumers’ identification with peers, and is more related to youth’s purchase intention for social status associated products rather than hedonic products. Sadness induces young consumers to follow their own perceptions, and is more associated with purchase intention for hedonic rather than social status-associated products. The drivers of purchase behavior for expensive products also differ: worried young consumers’ purchase intention is driven by perceptions of social status value associated with these products, whereas sad consumers’ purchase intention is driven by perceptions of hedonic value.

This research has significant implications for marketing practitioners on strategic marketing and communication to young consumers. It also provides important suggestions to young consumers on how to effectively regulate negative emotions via socially accepted behavior (i.e. purchases).

This research contributes to the extant literature on emotion’s impact on consumer behavior by elaborating carryover effects of emotion varying in the overlooked personal- and social-focus dimension. It also extends the literature on peer influence among young consumers.

This paper aims to investigate the links between daily review sentiment and the hotel performance measures of occupancy rate (OR), average daily rate (ADR) and revenue per available room (RevPAR).

The authors conducted review sentiment analyses in three moments (−1, −7 and −14 days) before arrival time using a data set of budget hotel performance and online reviews. The aim was to identify the effect of review sentiment in the budget hotel market on the three performance metrics.

Daily sentiment positively affects ADR and negatively affects OR and RevPAR, but only up to a certain threshold, after which the trend reverses. Prices increase with the level of sentiment, and high prices lead to low OR and RevPAR only when the sentiment scores are low. When they are high, they are associated with low rates, which lead to high OR and RevPAR.

Daily review sentiment can be viewed as a valuable “barometer” indicating a hotel’s daily operational effectiveness. Daily sentiment can thus allow hotel managers to adjust their dynamic pricing strategies more accurately.

This study identifies daily sentiment as an alternative predictor of hotel performance. In addition to the roles of valence and volume in the decision-making process, the authors found that daily review sentiment can be an “in-the-moment” factor with a high impact, encouraging consumers to complete their transactions. This study suggests that aggregated measures such as the total number of reviews and overall ratings of the hotel should not be the sole consideration in reputation management.

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This study aims to evaluate the process of value co-creation within wellness tourism by constructing a structural equation model of customer interactions with the environment, service employees and other customers relating to customer-perceived value and customer engagement.

Questionnaires, including wellness tourists’ customer-environment interaction, customer-service employee interaction, customer-customer interaction, customer-perceived value, customer engagement and demographic background, were developed and distributed at well-known wellness tourism destinations around Guangzhou City, Guangdong Province, China. This study collected 528 valid questionnaires from hot spring resorts, national forest parks, mountain parks and spa wellness facilities located in Guangdong Province, China. Structural equation modeling (SEM) was used to analyze the obtained data.

The results reveal that all three types of interactions, which include the customer-environment interaction (CEI), the customer-service employee interaction (CSI) and the customer-customer interaction (CCI), have positive effects on customer-perceived value (CPV) and that CPV positively affects customer engagement (CE). Based on these findings, recommendations for the management of wellness tourism service enterprises are given.

The causes and effects of CPV in wellness tourism, from the perspective of value co-creation, is a rather unexplored area of study. It contributes not only to knowledge about factors that foster CPV but also to the understanding of connections between CPV and CE.

本研究通过构建顾客与环境、服务员工和其他顾客之间互动对顾客感知价值和顾客契合的结构方程模型, 探究养生旅游中的价值共创过程。

本研究在中国广东省广州市附近知名的养生旅游目的地发放问卷, 问卷内容包括养生旅游者的顾客-环境互动, 顾客-服务员工互动, 顾客-顾客互动, 顾客感知价值, 顾客契合和人口统计学背景。本研究从广东省温泉度假区、国家森林公园、山脉等旅游目的地收集了有效问卷528份, 使用结构方程模型(Structural Equation Modeling, SEM)对所获得的数据进行分析。

本研究数据分析结果显示, 顾客与环境互动、顾客与服务人员互动和顾客与顾客互动三种互动类型均对顾客感知价值有正向影响, 而顾客感知价值正向影响顾客契合。在此基础上, 本文针对养生旅游服务企业提出了管理建议。

本研究从价值共同创造的角度对养生旅游中顾客感知价值的因果关系进行了一项未被探索的研究, 这不仅有助于我们识别并培育影响顾客感知价值的因素, 而且有助于我们理解顾客感知价值与顾客契合之间的联系。

Este estudio evaluó el proceso de la creación conjunta de valor dentro del turismo de bienestar, mediante la construcción de un modelo de ecuación estructural de las interacciones de los clientes con (1) el medio ambiente, (2) los empleados de servicio y (3) otros clientes relacionados con el valor percibido por el cliente y el compromiso del cliente.

Los cuestionarios fueron distribuidos en destinos de turismo de bienestar conocidos cerca de la ciudad de Guangzhou, provincia de Guangdong, China. El contenido del cuestionario incluye: interacción cliente-medio ambiente, interacción cliente-empleado de servicio, interacción cliente-cliente, valor percibido por el clientes, compromiso del clientes y el contexto demográficos. Este estudio recopiló 528 cuestionarios válidos de centros turísticos de aguas termales, parques forestales nacionales, montañas y spas de bienestar localizados en la provincia de Guangdong,China. Se utilizó el modelo de la ecuación estructural (Structural Equation Modeling, SEM) para analizar los datos obtenidos.

Los resultados revelan que los tres tipos de interacciones, que incluyen la interacción cliente-medio ambiente (ICMA), la interacción cliente-empleados de servicio (ICES), y la interacción cliente-cliente (ICC), tienen efectos positivos en el valor percibido por el cliente (VPC), y que el VPC afecta positivamente el compromiso del cliente (CC). Con base en estos resultados, se dan recomendaciones de gestión para las empresas de servicios de turismo de bienestar.

Este es un estudio bastante inexplorado sobre la causa y el efecto del VPC en el turismo de bienestar, desde la perspectiva de la creación conjunta de valor (CCV). Este estudio no solo contribuye al conocimiento sobre los factores que fomentan el VPC, sino también a la comprensión de las conexiones entre el VPC y el CC.

The purpose of this paper is to provide an overview of the evolution of service supply chain management from a behavioural operations perspective, pointing out future research directions for scholars.

This study searched five databases for relevant literature published between 2009 and 2018, selecting 64 papers for this review. The selected literature was categorised according to two dimensions: a service supply chain link perspective and a behavioural factor perspective. Comparative analysis was used to identify gaps in the literature, and five future research agendas were proposed.

In terms of the perspective of service supply chain link, extant literature primarily focuses on service supply and service co-ordination management, and less on service demand and integration management. In terms of the behavioural factor’s perspective, most focus on classic behaviour factors, with less attention paid to emerging behaviour factors. This paper thus proposes five research agendas: demand-oriented management and integrated supply chain-oriented behavioural research; broadening the understanding of the scope of behavioural operations; integrating the latest backgrounds and trends of service industry into the research; greater attention to behavioural operations in service sub-industries; and multimethod combination is encouraged to be used to dig into the interesting research problems.

This study constitutes the first systematic review of service supply chain research from a behavioural perspective. By categorising the literature into two dimensions, the state of existing research is evaluated with an eye towards future research avenues.

With the rapid development of China’s urbanisation and market economy, municipal solid waste (MSW) generation is increasing dramatically. In response to the threat of environmental pollution and the potential value of converting waste into energy, both the government and the public are now paying more attention to MSW treatment and disposal methods. In 2014, 178.6 million tonnes of MSW was collected at a safe treatment rate of 84.8%. However, the treatment methods and the composition of MSW are influenced by the collection area, its gross domestic product, population, rainfall and living conditions. This chapter analysed the MSW composition properties of Lhasa, Tibet, compared with other cities, such as Beijing, Guangzhou and so forth. The research showed that the moisture content of MSW in Lhasa approaches 31%, which is much lower than the other cities mentioned previously. The proportion of paper and plastics (rubbers) collected was 25.67% and 19.1%, respectively. This was 1.00–3.17 times and 0.75–2.44 times more than those found in Beijing and Guangzhou, respectively. Non-combustibles can reach up to 22.5%, which was 4.03–9.11 times that of Beijing and Guangzhou, respectively. The net heating values could reach up to 6,616 kilojoule/kilogram. The food residue was only half the proportion found in other cities. Moreover, the disposal method applied in each city has also been studied and compared.

With the growing concern of various sectors of society regarding environmental issues and the promotion of sustainable development, green technology innovation is generally considered to be conducive to the long-term development of enterprises. However, because of the existence of agency problems, managers may have shortsighted behaviors. Then how will managers' shortsighted behaviors affect enterprises' green technology innovation?

This paper uses machine learning-based text analysis methods to construct a manager myopia index based on the data from A-share listed companies on the Shanghai and Shenzhen Stock Exchanges from 2015 to 2020. We examine the impact of manager myopia on green technology innovation in companies.

Our study finds that manager myopia significantly inhibits green technology innovation in companies. However, when multiple large shareholders coexist and the proportion of institutional investors' holdings is high, it can alleviate the inhibitory effect of manager myopia on green innovation. Heterogeneity tests show that the impact of manager myopia on green technology innovation is relatively significant in non-state-owned and manufacturing companies, as well as in the electricity industry. Robustness tests demonstrate that our conclusions remain valid after using propensity score matching to eliminate endogeneity problems.

From the perspective of corporate governance, this paper incorporates managers' shortsightedness, multiple large shareholders and institutional investors' shareholding ratios into the same logical framework, analyzes their internal mechanisms, helps improve corporate governance, enhances green innovation capabilities and has strong implications for the implementation of national innovation-driven development strategies and the achievement of “carbon peak” and “carbon neutrality” targets.

Sustainable development is considered a key factor in addressing environmental issues, global inequalities and poverty. This study aims to investigate the impact of stock market indicators on sustainable development across 16 emerging markets from 2003 to 2020.

The research uses causality and cointegration analyses to explore the relationships between stock market indicators and sustainable development.

Univariate causality analysis reveals a bidirectional causal relationship between the stock market turnover ratio and sustainable development, as well as a unidirectional relationship from sustainable development to stock market capitalization and total value traded. Panel-level cointegration analysis suggests that only stock market capitalization has a weak positive influence on sustainable development. However, the impact of stock market indicators on sustainable development varies significantly among countries, as revealed by country-level cointegration analysis.

While this study provides valuable insights, it is not without limitations. The findings are limited to the selected emerging markets and the specified timeframe (2003–2020). The complexity of factors influencing sustainable development suggests the need for further exploration in diverse contexts.

Understanding the nuanced relationships between stock market indicators and sustainable development can offer valuable insights for policymakers, investors and stakeholders.

This research contributes to the existing literature by examining the multifaceted connections between stock market indicators and sustainable development, focusing on country-specific causality relationships. The study highlights the reciprocal nature of this relationship, where financial market development can both influence and be influenced by a country's progress toward sustainability. This approach provides a more nuanced understanding of the complex interaction between stock market maturity and sustainability goals.