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This study aims to investigate whether big data enabling (BDE) and empowerment-focused human resource management (EHRM) can effectively promote employee intrapreneurship and their effects on platform enterprises’ innovation performance. The paper also examines the contexts under which employee intrapreneurship may affect business performance.

Data were collected from 155 platform enterprises in China in the form of questionnaires. Participants were mainly middle and senior managers with a comprehensive grasp of the enterprises’ information.

The results indicated that BDE, EHRM and their synergy positively influenced employee intrapreneurship, which could potentially extend to enterprise performance. Specifically, employee intrapreneurship played a partial mediating role between BDE, EHRM and performance, and a whole mediating role between synergy and performance. Finally, platform strategic flexibility played a positive moderating role between employee intrapreneurship and performance.

Platform enterprises should focus on the construction and utilization of big data and EHRM to stimulate organizational vitality. They also need to encourage employees to start businesses and build more flexible strategies to adapt to the dynamic economic environment.

This is an empirical study on the effect mechanism of big data and HRM on employee intrapreneurship and platform enterprises’ performance in China. The paper combined big data, HRM and employee intrapreneurship, which broke through the previous research on enterprise entrepreneurship and social entrepreneurship. The findings guide platform enterprises to stimulate organizational vitality and achieve better performance in the digital era.

Disruptive technology and innovation represent complex conflicts in nature. This paper aims to present an analytical review of the heterogeneity and conflicts that exist in the disruptive technology/innovation between the eastern and western countries using Chinese high-speed railways to illustrate disruptive innovation.

The emerging economy brings about other theoretical and practical conflicts. Qualitative analysis is conducted on Chinese high-speed railways to assess the validity of innovation characteristics using Professor Clayton M. Christensen’s theories of disruptive technology/innovation and conflict. The authors explore the conflicts that can accompany the introduction of disruptive technologies in the current platform and how appropriately this specific context can lessen these conflicts.

The study revealed that Christensen’s theories could be applied 100per cent to the Chinese context if the western disruptive innovation theory can meet the practical requirements of Chinese disruptive technology/innovation. Qualitative analysis showed that Chinese high-speed railways had experienced greater success with disruptive innovation mechanism. The authors conclude that while the Chinese market is critical in shaping the kind of innovations that are emerging there, many disruptive technologies/innovations in China have their roots in the low-end market and new market. Implications for theory and practice are discussed.

There exists a research gap in the literature on the Chinese context. Conflict of disruptive technology and innovation within China and the characteristics of the Chinese high-speed railway prompt further research for scholars and practitioners.

Emerging in recent years, digital transformation has become an effective approach for firms to remain competitive in the digital economy. Although this trend has received increasing interest in the business world, there remains a lack of empirical research on the organizational capacities that facilitate digital transformation. To fill this research gap, we investigate the relationship between adaptive capacity configuration and the performance of digital transformation.

We use fuzzy-set qualitative comparative analysis (fsQCA) to identify the impact of adaptive capacity on the digital transformation performance of 38 firms in the household appliance manufacturing, light manufacturing and clothing manufacturing industries (HAMI, LMI, CMI).

Our analysis reveals a Technology-driven transformation configuration for the HAMI, a Market-driven transformation configuration for the LMI and a Market and Management-driven transformation configuration for the CMI, as well as identifies environment scanning capacity as a common basic adaptive capacity. The first configuration is rooted in the innovation mechanism, and the last two configurations are rooted in the integration mechanism.

Enterprises in different industries with unique technology levels require distinctive capacity configurations to implement digital transformation. Each dimension of adaptive capacity plays a particular role in each industry. Environmental scanning capacity requires firms to be agile in their interactions with the digital world and to collect information about the environment.

This study enriches and expands the dimensions of adaptive capacity, and we provide a perspective for researching the digital transformation of manufacturing enterprises through adaptive capability configuration.

Theoretical and empirical developments in academic literature have not been able to keep pace with the growing industry focus on eco-innovation and green hospitality practices. This paper aims to address this gap and provide an up-to-date review of research on eco-innovative practices in 13 leading hospitality journals over the past two decades, 1998-2018.

A systematic review that incorporates the preferred reporting items for systematic reviews and meta-analyses flow diagram is used to guide the data selection for this paper. The paper analyzes 403 studies published in 13 established hospitality journals to identify homogeneous research themes.

A unified conceptual framework is proposed by identifying seven research domains under eco-innovative practices. Even though research attention on green practices has increased in recent years, the development of conceptual frameworks, appropriate measurement scales and theoretical support for eco-innovative practices is warranted.

Although the paper attempts to include as many environmentally related studies as possible, by being restricted to papers published only in 13 leading hospitality journals, it may not have drawn on all relevant eco-innovation studies in hospitality research.

To the knowledge of the authors, this is the first systematic analysis of hospitality research on eco-innovative practices that reviews such a large number (403) of studies spanning the past two decades (1998-2018). The most recent review by Kim et al. (2017) covered 146 green research studies published between 2000 and 2014; whereas, out of 403 studies reviewed in this study, 231 (57per cent) have been published between 2014 and 2018. This trend is indicative of the fast-evolving nature of sustainability research and the need for an up-to-date systematic review of recent literature in the field.

This research aims to grasp hotel guests' motives and potential benefits sought when interacting with other guests, service personnel and residents and examines how these benefits can contribute to the total guest experience.

Mixed methods are adopted for the purpose of this study comprising individual interviews and a questionnaire survey.

Five groups of advantages emerge from individual interviews, including friendliness in interaction, social benefits, information acquisition, curiosity gratification and hospitality services. In the survey, which gathers 326 questionnaires, this study reveals that the five types of benefits derived from hotel guests' interactions could be further categorized into two dimensions: civility (e.g. friendliness and social) and utility (e.g. information, curiosity and service). The study confirms that four out of five potential or expected benefits from this personal interaction is significantly associated with the total hotel experience.

Respondents of this study are culturally homogenous; as a result, multi-cultural settings should be considered for future research.

Tourism and hospitality literature on people's interaction is mostly center around social aspects of interaction. The current study comprehensively explores all expected utilities of interaction, occurring in all sorts of interactions (e.g. customer-to-resident and customer-to-service personnel). Specifically, the findings of this study uncover the underlying factors which prompt the tourists to interact with other people in a lodging setting and examine the relative importance of those underlying factors to the total lodging experiences.

This paper aims to innovatively propose to improve the efficiency of satellite observation and avoid the waste of satellite resources, a genetic algorithm with entropy operator (GAE) of synthetic aperture radar (SAR) satellites’ task planning algorithm.

The GAE abbreviated as GAE introduces the entropy value of each orbit task into the fitness calculation of the genetic algorithm, which makes the orbit with higher entropy value more likely to be selected and participate in the remaining process of the genetic algorithm.

The simulation result shows that in a condition of the same calculate ability, 85% of the orbital revisit time is unchanged or decreased and 30% is significantly reduced by using the GAE compared with traditional task planning genetic algorithm, which indicates that the GAE can improve the efficiency of satellites’ task planning.

The GAE is an optimization of the traditional genetic algorithm. It combines entropy in thermodynamics with task planning problems. The algorithm considers the whole lifecycle of task planning and gets the desired results. It can greatly improve the efficiency of task planning in observation satellites and shorten the entire task execution time. Then, using the GAE to complete SAR satellites’ task planning is of great significance in reducing satellite operating costs and emergency rescue, which brings certain economic and social benefits.

The purpose of this study is to connect disruptive innovation and sharing economy by exploring the underlying mechanisms of how a disruptive innovation–based business project creates, delivers and captures value in sharing economy through analyzing the case of bike sharing in China.

An elaborate case study is used to unfold the process as well as the underlying mechanism and relationships among disruptive innovation, business model, bike-sharing business and value creation in sharing economy.

Bike sharing case fits well in disruptive innovation theory. Its low price and great convenience have led to rapid development in China. However, failures to improve their products and services and build an effective business model which can create, deliver and capture value have caused the failure of many bike-sharing companies. Other factors such as strategic decision-making, internal management problems, external conflicts as well as uncivilized consumer behaviors have also inhibited the sustainable development of bike-sharing companies.

The theoretical contributions of this study include the following: to explore how a disruptive innovation–based business creates, delivers and captures value successfully in sharing economy. This study contributes to both research and practice on disruptive innovation and sharing economy.

In the platform era the informal employment in China is tremendously huge in quantities. This paper sets out the changes of traditional regulatory rules status, the new web of rules and, with a particular focus on, the impacts of main actors’ interacts, from an industrial relations ‘web of rule’ perspective. The subjects involved in this paper are multiple, including labour law, collective labour relations institution, enterprise human resources management, CSRs and NGOs in production supply chains. It argues the inappropriate impacts on the perseverance of right and interests of workers are consequences of the current national labour law and collective labour relations institutions. It witnesses the emerging innovative methods, employment relations system in a self-dependent economic transaction, the rule of production supply chain in a multi-stake-holder context and the new intervening method of NGOs. It is in scrutiny of the commence of such a transformation in China, nevertheless, transforming from the authoritarian regime to a more fair market establishing via the intervention of multiple social forces, and consequently the transformation from informal employments to formal ones in a comprehensively complex domestic and global context.

Several different simulation techniques, such as discrete event simulation (DES), system dynamics (SD) and agent-based modelling (ABM), have been used to model complex construction systems such as construction processes and project management practices; however, these techniques do not take into account the subjective uncertainties that exist in many construction systems. Integrating fuzzy logic with simulation techniques enhances the capabilities of those simulation techniques, and the resultant fuzzy simulation models are then capable of handling subjective uncertainties in complex construction systems. The objectives of this chapter are to show how to integrate fuzzy logic and simulation techniques in construction modelling and to provide methodologies for the development of fuzzy simulation models in construction. In this chapter, an overview of simulation techniques that are used in construction is presented. Next, the advancements that have been made by integrating fuzzy logic and simulation techniques are introduced. Methodologies for developing fuzzy simulation models are then proposed. Finally, the process of selecting a suitable simulation technique for each particular aspect of construction modelling is discussed.