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With the development of e-commerce, loyalty programmes (LPs) are gradually being adopted in the online retailing environment to improve consumer loyalty. This article determines the factors that affect consumers' LP participation intention on mobile e-commerce platforms to help these platforms improve their performance.

This article focusses on LP reward types and divides them into self-oriented rewards or altruistic rewards. Two experiments are conducted to test the proposed hypotheses. After online data collection, data analysis is performed.

LP participation intention with altruistic rewards is significantly stronger than that with self-oriented rewards. Perceived value plays a complete mediating role in the impact of reward type on participation intention, while a point leaderboard plays a positive moderating role in the impact of reward type on perceived value.

This study’s findings can improve the design of LPs by mobile e-commerce platforms.

This article focusses on LPs in the online environment, a stream of research that is limited. The results also have implications for prosocial relationship marketing programmes.

The purpose of this study is to develop and empirically test a model that can predict factors affecting student recycling behavior. The theoretical model was based on motivation, place attachment, environmental concern and interpersonal altruism.

A cross-sectional study was conducted with college students in Taiwan using self-report questionnaires. Of the 800 distributed questionnaires, 523 were completed (response rate of 65.4%) and were analyzed using structural equation modeling. Partial least squares (PLS) were used to test the models and hypotheses.

The results showed that environmental concern, motivation, interpersonal altruism and place attachment have significant positive effects on recycling behavior and motivation and place attachment have significant positive effects on interpersonal altruism. This research contributes to the existing literature by discriminating between two sorts of motivation: intrinsic and extrinsic. Based on these findings, suggestions for future research and practical implications are presented.

Few studies have linked motivation, interpersonal altruism, environmental concern and place attachment to recycling behavior. Therefore, this study aimed to explore these relationships, specifically as they affect college students’ behavior. This paper anticipates that increased knowledge about recycling behavior could be used to support the wider adoption of recycling practices.

This study aims to propose an integrated moderated mediation model to examine the process by which hotels obtain competitive advantage from the perspective of hotel managers.

After obtaining the agreement of the participants, a total of 560 candidates, all of whom were hotel managers, completed a survey administered online over a three-month period from November 2020 to January 2021. Ultimately, 257 valid responses were obtained after data screening by research assistants, for a response rate of 45.89%.

By reference to the concepts of big data (BD) and sustainability, the results show that BD management is a foundational attribute with respect to the indirect effects of BD analytics capabilities via proactive market orientation and social media collaboration. Furthermore, sustainability commitments and marketing are found to affect the relationship between such analytics capabilities and competitive advantage. Additionally, information sharing and food services have positive moderating effects that strengthen the changes in critical attributes during the process of obtaining competitive advantage.

To date, despite the proliferation of the concepts of BD, social media and sustainability, there is a lack of adequate empirical evidence and systematic literature reviews to comprehensively synthesize the emerging body of literature in the fields of tourism and hospitality research.

本研究于2020年11月到2021年1月的三个月期间, 在取得560位饭店管理者的同意后, 让他们完成了在线问卷调查。最终, 经过研究助理的数据筛选后, 收集到257份有效问卷, 有效回收率为45.89%。

本研究提出了一个调节式中介模型, 透过酒店管理者的角度来探讨酒店获得竞争优势的过程。

研究结果显示, 大数据管理透过参考大数据和永续的概念, 探讨主动式市场导向和社交媒体协作对大数据分析能力产生间接影响的基本重要归因。此外, 永续承诺和行销会影响分析能力与竞争优势之间的关系。再者, 信息共享和食品服务的关系起着显著的调节作用, 在获得竞争优势的过程中加强了关键属性间的关系。

迄今为止, 尽管大数据、社交媒体和永续的概念逐渐受到重视, 但仍缺乏足够的实证和系统性文献综整来阐逑观光餐旅研究文献缺憾。

Tras obtener el consentimiento de los participantes, un total de 560 candidatos, todos directores de hotel, completaron una encuesta online en un período de tres meses, desde noviembre de 2020 hasta enero de 2021. Finalmente, se obtuvieron 257 respuestas válidas tras un proceso de comprobación por los técnicos de investigación, lo que supone una tasa de respuesta del 45,89%.

Este estudio propone un modelo de mediación moderado integrado para examinar el proceso por el cual los hoteles obtienen ventajas competitivas desde la perspectiva de los directores de hotel.

Haciendo referencia a los conceptos de macrodatos y sostenibilidad, los resultados muestran que la gestión de macrodatos es un atributo fundamental para los efectos indirectos de las capacidades analíticas de macrodatos a través de la orientación proactiva al mercado y la colaboración en los medios sociales. Además, se observa que los compromisos de sostenibilidad y el marketing afectan a la relación entre dichas capacidades analíticas y la ventaja competitiva. Asimismo, el intercambio de información y los servicios de alimentación tienen efectos moderadores positivos que fortalecen los cambios en los atributos críticos durante el proceso de obtención de una ventaja competitiva.

Hasta la fecha, a pesar de la proliferación de los conceptos de macrodatos, medios sociales y sostenibilidad, se carece de evidencia empírica adecuada y de revisiones bibliográficas sistemáticas que sinteticen de forma exhaustiva la literatura emergente en los campos de investigación del turismo y la industria hotelera.

This paper aims to study whether the adoption of an entry mode that fits the social trust level contributes to the improvement of foreign subsidiary performance.

The authors used the Probit model, linear regression, strategic fit approach and instrumental variable regression. The sample was made up of 11,095 observations of Chinese multinational enterprises' foreign subsidiaries in 54 countries from 2005 to 2020.

The results suggest that a host country with a high level of social trust results in fewer difficulties for enterprises in gaining legitimacy, thus foreign subsidiaries are more likely to select the wholly owned entry mode. The results also show that the effect is contingent on the formal institutions of host countries. The results of the mechanism test suggest that social trust influences subsidiaries' entry mode choice by reducing information asymmetry, costs and uncertainty risks. This study further finds that selecting a fit entry mode based on social trust level substantially increases foreign subsidiary performance and this effect is more significant when multinational enterprises (MNEs) are state-owned enterprises (SOEs).

The main limitation of this paper is its only focus on foreign subsidiaries of Chinese MNEs, which may limit the generalizability of research findings.

This paper responds to the call for conducting more research on informal institutions. Findings highlight the critical role of informal institutions in helping foreign subsidiaries in gaining legitimacy in host countries and the essentialness of selecting a fit entry mode based on the informal institutions of host countries for the development of foreign subsidiaries.

Based on the principal–agent and stakeholder theories, this study aims to put forward an intermediary model to verify the intermediary role of corporate social responsibility (CSR) in executive equity incentives and corporate innovation performance to improve corporate innovation performance.

The 2012–2018 A-share listed companies’ disclosure of executive equity incentives data was used as the research sample. This study used CSR as an intermediary to explore the relationship between executive equity incentives and corporate innovation performance. A verification analysis was carried out.

The research results show that: a positive correlation exists between executive equity incentives and corporate innovation performance, and executives’ reasonable equity incentives can promote the growth of corporate innovation performance. A positive correlation exists between executive equity incentives and CSR. Implementing equity incentives for executives can stimulate their motivation to assume CSR. A positive correlation exists between CSR and corporate innovation performance. The more a company fulfills its social responsibility, the more it can promote the improvement of corporate innovation performance. CSR plays a mediating role between executive equity incentives and corporate innovation performance. CSR promotes executive equity incentives’ impact on corporate innovation performance and exerts a “complete mediating effect” between the two.

The number of samples and the time span of samples can be expanded in the future. This research has tested the mediating effect of CSR, but other mediating variables may play a role in the process of executive equity incentives in promoting corporate innovation performance. Further research should be conducted to explore the mediating effect of financing constraints and media attention on corporate innovation performance. This study only verifies the influence of equity incentives on CSR and innovation performance of senior executives. In the future, other incentive methods should be explored, such as salary incentives.

Foreign research on equity incentives has matured, but the experience of foreign countries cannot necessarily produce the expected effect in China. More than ten years have passed since the China A-share market began implementing equity incentives on December 31, 2005. As of December 31, 2017, about one-third of enterprises in the high-tech industry that had introduced equity incentives had stopped implementing the policy. Data from 2012 to 2018 were selected to analyze the relationship between executive equity incentives, CSR and corporate innovation performance to explore the influence mechanism of equity incentives. This study provides a comprehensive theoretical framework to examine the interaction among executive equity incentives, CSR and corporate innovation performance. Because most previous studies have focused on the relationship between executive equity incentives, CSR and corporate innovation performance, they are rarely been used as an intermediary variable to explore the impact of executive equity incentives on corporate innovation performance. This study explores the impact of executive equity incentives on corporate innovation performance under the influence of CSR. Moreover, this study explores the mediating role of CSR in corporate governance, which provides a new perspective for CSR research and verifies relevant literature on the mediating effect model.

Research countermeasures and suggestions: the research results are significant for enterprises implementing executive equity incentives, fulfilling CSR, enhancing corporate reputation, improving corporate innovation performance and ultimately obtaining market competitiveness. Therefore, the following suggestions are proposed: establish and improve the executive equity incentive mechanism and strengthen the promotion effect of executive equity incentives in CSR and corporate innovation performance. Strengthen the awareness of enterprises to actively fulfill CSR and give full play to the role of CSR in promoting corporate innovation performance. Improve the profitability of enterprises and focus on the promotion effect of enterprise profitability on corporate innovation performance.

This study focuses on executive equity incentives and introduces CSR as an intermediary variable to explore the influence path of executive equity incentives on corporate innovation performance. Based on the research results, this study takes targeted measures to improve corporate innovation performance and maintain its healthy growth of corporate innovation performance. This is significant in enhancing enterprises’ core competitiveness and promoting the enterprise economy’s sustainable development. Meanwhile, the enterprise has significant reference value in actively fulfilling its CSR and realizing its stable and healthy development.

This study attempts to fill the research gap by extending sustainability literature and providing empirical evidence that considers sustainability marketing commitment (SMC) as a fundamental attribute of effective marketing strategy that consequently improves tourism service quality, as represented by service attractiveness.

In the current study, data was collected from 313 tourism and hospitality firms. To test the model, this study applied structural equation modeling (SEM) to investigate the relationships among environmental strategy, SMC, supplier trust and service attractiveness in a mediation-moderation setting.

The results indicate that the multiple mediation effects of environmental strategy may indirectly influence tourist attractiveness through SMC and tourism services. The two-way moderating effects reveal that supplier trust and socialization strengthen the service attractiveness development process, while three-way interaction discovered that socialization and supplier trust positively moderate the relationships between tourism services and service attractiveness.

Sustainable strategy is a future trend for tourism business management; however, unknown to most is the role of marketing and environmental strategy in tourism business due to lack of integration with concepts in marketing strategy, with the multidimensionality of tourism services, and with the function of trust and socialization, critically undermining analyses of service attractiveness. This paper combines corporate sustainability and sustainability marketing methods to explore how an environmental strategy can improve tourism services and enhance a destination's attractiveness based on a mediation-moderation mechanism.

Social mediametrics is a subfield of measurement in which the emphasis is placed on social media data. This paper analyzes the trends and patterns of paper comprehensively mentions on Twitter, with a particular focus on Twitter's mention behaviors. It uncovers the dissemination patterns and impact of academic literature on social media. The research has significant theoretical and practical implications.

This paper explores the fundamental attributes of Twitter mentions by means of analyzing 9,476 pieces of scholarly literature (5,097 from Nature and 4,379 from Science), 1,474,898 tweets and 451,567 user information collected from Altmetric.com database and Twitter API. The study uncovers assorted Twitter mention characteristics, mention behavior patterns and data accumulation patterns.

The findings illustrate that the top academic journals on Twitter have a wider range of coverage and display similar distribution patterns to other academic communication platforms. A large number of mentioners remain unidentified, and the distribution of follower counts among the mention users exhibits a significant Pareto effect, indicating a small group of highly influential users who generate numerous mentions. Furthermore, the proportion of sharing and exchange mentions positively correlates with the number of user followers, while the incidence of supportive mentions has a negative correlation. In terms of country-specific mention behavior, Thai scholars tend to utilize supportive mentions more frequently, whereas Korean scholars prefer sharing mentions over communicating mentions. The cumulative pattern of Twitter mentions suggests that these occur before official publication, with a half-life of 6.02 days and a considerable reduction in the number of mentions is observed on the seventh day after publication.

Conducting a multi-dimensional and systematic analysis of Twitter mentions of scholarly articles can aid in comprehending and utilizing social media communication patterns. This analysis can uncover literature's distribution patterns, dissemination effects and social significance in social media.

The primary objective was to develop a user-centered mobile health application (app) tailored to the specific health information needs of among immigrant women from diverse backgrounds in Korea.

In-depth interviews were conducted with 24 immigrant women to gain insights into their health information-seeking behavior. Based on the findings, a mobile app was designed and developed. A beta version of the app underwent validation by an MD and seven expert reviewers who assessed the app for content accuracy and conformance to mobile heuristics. Last, immigrant women (n = 12) evaluated the usability of the app.

The study revealed that the interviewed immigrant women had strong health information needs related to pregnancy and parenting. Most of them used multiple sources to find and verify health information. Language barriers were identified as a major obstacle to accessing and evaluating health information. The results of the user test indicated that the app effectively facilitated study participants' search for reliable health information, meeting their specific needs.

This research extended the literature by addressing the limited availability of mobile apps tailored to the health information needs of immigrant women in Korea.

By incorporating multilingual support and focusing on pregnancy and parenting information, the health app serves as a valuable tool to bridge the gap in health information access and to facilitate the well-being of immigrant women in the country.

This paper investigates the effect of business environment distance on innovation performance of emerging market multinational enterprises (EMNEs) and explores the mediating effect of absorptive capacity between the two, and it further analyzes the moderating effect of skilled migrants in the relationship between business environment distance and absorptive capacity.

An empirical analysis based on a fixed effect model is conducted using data of Chinese MNEs listed on the Shanghai and Shenzhen Stock that expand into developed markets from 2011 to 2018.

The results suggest business environment distance positively affects the innovation performance of EMNEs, and can enhance innovation performance by affecting absorptive capacity of EMNEs. In addition, skilled migrants strengthen the relationship between business environment distance and absorptive capacity of EMNEs.

Chinese MNEs should fully exploit business environment distance to acquire the technology needed for innovation activities, and strengthen absorptive capacity to maximize the benefits from innovation. Chinese government needs to strengthen the construction of skilled migrants to facilitate knowledge and technology transfer.

Combining springboard theory and institutional theory, this paper integrates macro and micro perspectives to explore whether and how business environment distance affects innovation performance of Chinese MNEs. The paper provides a good theoretical basis and important practical reference value for enhancing the technological innovation capability of Chinese MNEs and the overall technological innovation level of China.

This paper aims to propose a new method to derive custom dynamic cyber risk metrics based on the well-known Goal, Question, Metric (GQM) approach. A framework that complements it and makes it much easier to use has been proposed too. Both, the method and the framework, have been validated within two challenging application domains: continuous risk assessment within a smart farm and risk-based adaptive security to reconfigure a Web application firewall.

The authors have identified a problem and provided motivation. They have developed their theory and engineered a new method and a framework to complement it. They have demonstrated the proposed method and framework work, validating them in two real use cases.

The GQM method, often applied within the software quality field, is a good basis for proposing a method to define new tailored cyber risk metrics that meet the requirements of current application domains. A comprehensive framework that formalises possible goals and questions translated to potential measurements can greatly facilitate the use of this method.

The proposed method enables the application of the GQM approach to cyber risk measurement. The proposed framework allows new cyber risk metrics to be inferred by choosing between suggested goals and questions and measuring the relevant elements of probability and impact. The authors’ approach demonstrates to be generic and flexible enough to allow very different organisations with heterogeneous requirements to derive tailored metrics useful for their particular risk management processes.