Search results
1 – 10 of over 32000Siyuan Xu, Yupeng Mou and Zhihua Ding
The continuous impact of the pandemic and the downturn of the global economy have brought new challenges to the tourism industry. In this context, effectively attracting consumers…
Abstract
Purpose
The continuous impact of the pandemic and the downturn of the global economy have brought new challenges to the tourism industry. In this context, effectively attracting consumers and improving user stickiness are the top priorities of tourism platform companies. This study explores the impact of ethical concerns raised by new issues under the multi-governance environment on user stickiness. Based on the trust theory, the authors provide solutions for tourism platforms.
Design/methodology/approach
This study adopted a quantitative approach, gathering survey data via an online platform. A total of 400 participants were investigated, and 356 valid questionnaires were returned, with a recovery rate of 89%. Questionnaires that did not meet the inclusion criteria were excluded, leaving 298 valid responses.
Findings
Studies have found that consumers' ethical concerns about platform companies are key factors affecting user stickiness, and among these, consumer trust plays a mediating role. They have found that corporate social responsibility (CSR) behaviours help alleviate ethical concerns and improve trust in enterprises. At the same time, enterprises should properly control the number of platform collaborators, and excessive platform cooperation negatively moderates the impact of consumer ethical concerns on competence-based trust.
Originality/value
This study complements the deficiency of previous research with regard to ethical concerns in a multi-governance environment. These findings indicate that subject diversity exacerbates the negative impact of ethical concerns on consumer trust; however, CSR alleviates the impact of ethical concerns on consumer trust.
Details
Keywords
Yongqing He, Bo Zou, Jieyi Pan and Zhenxing Bu
For the basic problems on platform innovation, such as platform innovation connotation and characteristics, the driving mechanism and the influence mechanism are less been…
Abstract
Purpose
For the basic problems on platform innovation, such as platform innovation connotation and characteristics, the driving mechanism and the influence mechanism are less been studied. This study aims to explore how to achieve platform innovation in traditional service enterprises.
Design/methodology/approach
Based on the theory of enterprise network and binary learning, respectively, this paper discusses the behavior of binary learning based on network structure and network impact on efficiency and innovative platform innovation, and analyzed the realization of the platform innovation path.
Findings
The research draws the following conclusions: the network structure-based exploitative learning can promote the efficiency platform innovation, while the network behavior-based exploratory learning can promote the novelty platform innovation. The interaction between network structure and network behavior embedded in traditional services is more conducive to exploratory learning so as to promote novelty platform innovation, and the platform innovation of traditional service enterprises is a process from efficiency-oriented to novelty-oriented. The innovation effect generated by exploratory learning based on network behavior is much higher than that generated by exploitative learning based on network structure. The theoretical contributions of this study are as follows: first, this study compares the similarities and differences between service innovation of platform-oriented enterprises and platform innovation of service enterprises. On this basis, it clearly defines the concept of platform innovation and divides it into two categories: efficiency platform innovation and novelty platform innovation. Second, it reveals the two paths for traditional service enterprises to realize platform innovation, and the interaction between these two paths are also explored, which promotes the scenario-based and dynamic study of platform innovation in traditional service enterprise. The conclusion of this study provides theoretical reference for traditional service enterprises to carry out platform innovation.
Originality/value
Theoretical contribution of this paper lies in: first, the concept of platform innovation is clearly defined. Current research about platform innovation is mainly around the innovation of platform enterprise and the platform innovation of traditional enterprise, but there is no document that makes clear distinction; some literature even equates innovation of platform enterprise with platform innovation of traditional enterprise. In this paper, through a detailed literature review and analysis, clearly define the concept of platform innovation and divided into efficiency platform innovation and novel platform innovation, which has made theoretical contribution to the depth of the research. Second, expand the platform innovation research of traditional service industry. In recent years, the platform innovation research of traditional enterprise has become a hot spot, but they focus on the attention of the platform transformation of traditional manufacturing industry, such as Haier; the traditional service industries seem to be “empty,” but, in fact, the traditional service industry platform innovation is of great significance and more worth looking forward to. In this paper, the longitudinal case studies can promote academic concerns focus on the traditional service industry, and also provides the theory instruction practice. Third, it promotes the platform innovation research of traditional enterprise and dynamic analysis. Based on the theory of enterprise network and binary learning, respectively, it discusses the behavior of binary learning based on network structure and network impact on efficiency and innovative platform innovation, and analyzed the realization of the platform innovation path. On the one hand, it enriches the research type of platform innovation; on the other hand, the dynamic evolution mechanism of platform innovation research can make up for the deficiency of the existing literature.
Details
Keywords
Wenhai Wan, Longjun Liu and Xinxin Wang
The purpose of this study is to investigate the impact of user-driven innovation (UDI) and employee intrapreneurship (EI) on the innovation performance of platform enterprises…
Abstract
Purpose
The purpose of this study is to investigate the impact of user-driven innovation (UDI) and employee intrapreneurship (EI) on the innovation performance of platform enterprises through the mediating role of market intelligence responsiveness (MIR) and the moderating role of knowledge and information resource acquisition (KRA and IRA, respectively) between MIR and innovation performance.
Design/methodology/approach
Data were collected from 167 platform enterprises in northern, eastern and southern China with survey questionnaires. Participants were mainly middle and senior managers with a comprehensive grasp of the enterprises' information.
Findings
The results indicated that both UDI and EI, particularly synergy, positively influenced the innovation performance of platform enterprises. Furthermore, higher innovation performance resulted from high congruence between UDI and EI, and the innovation performance of enterprises increased when UDI and EI shifted from being incongruent to congruent. Lastly, MIR played a mediating role in this relationship, and both KRA and IRA played a positive moderating role between MIR and innovation performance.
Practical implications
Platform enterprises should pay attention to external users and internal employees to achieve their development goals and establish tripartite cooperative relationships involving firms, employees and users. Enabling platform enterprises to develop continually and in a healthy way requires the integration and utilization of all types of resources.
Originality/value
This was an empirical study on the impact mechanism of employees and users on the innovation performance of platform enterprises in China.
Details
Keywords
Xinbo Sun, Donghui Zhao, Dapeng Zhang and Feng Tian
The concept of entrepreneurship in platform enterprises has evolved and developed. The purpose of this paper is to explore how entrepreneurship in platform enterprises can be…
Abstract
Purpose
The concept of entrepreneurship in platform enterprises has evolved and developed. The purpose of this paper is to explore how entrepreneurship in platform enterprises can be transformed into the sustainable innovation capability of enterprises based on knowledge integration.
Design/methodology/approach
This study adopts a questionnaire survey. The research samples are mainly from well-known domestic platform enterprises, EMBA students and professional online websites, 389 valid questionnaires were collected.
Findings
The results show that entrepreneurship has a positive impact on the sustainable innovation capability of platform enterprises, knowledge integration plays a partial mediating role between entrepreneurship and sustainable innovation capability of platform enterprises. Shared leadership plays a moderating role between entrepreneurship and knowledge integration and knowledge-sharing atmosphere plays a moderating role between knowledge integration and sustainable innovation capability of platform enterprises.
Originality/value
This paper emphasizes the key role of entrepreneurship in platform enterprises on the sustainable innovation capability and discusses the realization path of the sustainable innovation capability of platform enterprises from the perspective of knowledge integration, which is of great significance for developing the research system of entrepreneurship and promoting the construction of sustainable innovation capability of platform enterprises.
Details
Keywords
To be more effective, artificial intelligence (AI) requires a broad overall view of the design and transformation of enterprise architecture and capabilities. Maturity models…
Abstract
Purpose
To be more effective, artificial intelligence (AI) requires a broad overall view of the design and transformation of enterprise architecture and capabilities. Maturity models (MMs) are the recognized tools to identify strengths and weaknesses of certain domains of an organization. They consist of multiple, archetypal levels of maturity of a certain domain and can be used for organizational assessment and development. In the case of AI, quite a few numbers of MMs have been proposed. Generally, the links between AI technology, AI usage and organizational performance stay unclear. To address these gaps, this paper aims to introduce the complete details of the AI maturity model (AIMM) for AI-driven platform companies. The associated AI-Driven Platform Enterprise Maturity framework proposed here can help to achieve most of the AI-driven platform companies' objectives.
Design/methodology/approach
Qualitative research is performed in two stages. In the first stage, a review of the existing literature is performed to identify the types, barriers, drivers, challenges and opportunities of MMs in AI, Advanced Analytics and Big Data domains. In the second stage, a research framework is proposed to align company value chain with AI technologies and levels of the platform enterprise maturity.
Findings
The paper proposes a new five level AI-Driven Platform Enterprise Maturity framework by constructing a formal organizational value chain taxonomy model that explains a vast group of MM phenomena related with the AI-Driven Platform Enterprises. In addition, this study proposes a clear and precise description and structuring of the information in the multidimensional Platform, AI, Advanced Analytics and Big Data domains. The AI-Driven Platform Enterprise Maturity framework assists in identification, creation, assessment and disclosure research of AI-driven platform business organizations.
Research limitations/implications
This research is focused on the basic dimensions of AI value chain. The full reference model of AI consists of much more concepts. In the last few years, AI has achieved a notable drive that, if connected appropriately, may deliver the best of expectations over many application sectors across the field. For this to occur shortly in machine learning, especially in deep neural networks, the entire community stands in front of the barrier of explainability. Paradigms underlying this problem fall within the so-called eXplainable AI (XAI) field, which is widely acknowledged as a crucial feature for the practical deployment of AI models in industry. Our prospects lead toward the concept of a methodology for the large-scale implementation of AI methods in platform organizations with fairness, model explainability and accountability at its core.
Practical implications
AI-driven platform enterprise maturity framework can be used for better communicate to clients the value of AI capabilities through the lens of changing human-machine interactions and in the context of legal, ethical and societal norms.
Social implications
The authors discuss AI in the enterprise platform stack including talent platform, human capital management and recruiting.
Originality/value
The AI value chain and AI-Driven Platform Enterprise Maturity framework are original and represent an effective tools for assessing AI-driven platform enterprises.
Details
Keywords
Benhong Peng, Yuanyuan Wang, Sardar Zahid, Guo Wei and Ehsan Elahi
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
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.
Details
Keywords
This study aims to investigate whether big data enabling (BDE) and empowerment-focused human resource management (EHRM) can effectively promote employee intrapreneurship and their…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
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.
Details
Keywords
Qiongwei Ye and Baojun Ma
Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to…
Abstract
Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.
Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.
Guangsheng Zhang, Xiao Wang, Yanling Wang and Junqian Xu
Although green logistics has become a new focus of cooperation between government and enterprises under environmental constraints, how local governments formulate subsidy policies…
Abstract
Purpose
Although green logistics has become a new focus of cooperation between government and enterprises under environmental constraints, how local governments formulate subsidy policies to effectively guide the green transformation of regional logistics and how to facilitate the reasonable cost-sharing are rather critical. This paper will deeply explore the dynamic process of the tripartite participation (government, platform, and logistics enterprises) in the selection of regional green logistics strategy, and reveal the evolutionary game relationship of the three parties.
Design/methodology/approach
To explore the dynamics involving the government, platform and logistics enterprises for the green logistic transformation, and reveal the evolutionary gaming among the three parties, based on the bounded rationality premise, this study constructs the tripartite asymmetric evolutionary game models, uses the stability theorem of differential equation to explore the evolution and stability strategy of the system in different cases and explicates the paths of influence on the tripartite behaviors via simulations.
Findings
Results of this study indicate that there exist stable equilibrium strategies among the three parties regarding the regional green logistics, and they are affected by different factors. The government's subsidy, subsidy intensity and the platform's cost-sharing proportion can generate positive effects, but the latter two can also impact negatively beyond the effective ranges. The findings provide a theoretical basis for local governments, platforms and logistics enterprises to formulate justifiable subsidy intensity and determine reasonable sharing proportion.
Originality/value
Firstly, considering the significant relevance of local government, it is included in the evolution model, and the tripartite game (among government, platform and enterprises) is explored; Secondly, by comparing the equilibrium results under different game conditions, this paper analyzes the evolution of each party's game strategy to achieve the optimal return under bounded rationality and the important factors determining the strategic selection; Finally, the key factor of platform cost sharing is involved, and to what extent the change of platform cost sharing ratio will influence the systematic stability is explored.
Details
Keywords
Yi Zhang, Renhuai Liu and Haiquan Chen
This paper aims to answer the following two questions: What are the affecting factors of platform leadership? How do the business ecosystem and unique attributes of platform…
Abstract
Purpose
This paper aims to answer the following two questions: What are the affecting factors of platform leadership? How do the business ecosystem and unique attributes of platform enterprises affect the formation of platform leadership?
Design/methodology/approach
Based on the niche theory, this study used the grounded theory research methods to explore the strategic behavior of platform enterprises, analyze the characteristics of platform leadership and systematically explore the influencing factors of platform leadership based on four internet platform enterprises and their business ecosystem.
Findings
The result shows that the acquisition of platform leadership is closely related to the platform enterprises’ Niche, where they are located in the business ecosystem. Platform enterprises play the roles of the founder, coordinator, leader and arranger in the ecosystem, and there are four affecting factors of platform leadership: architecture foundation, connection and coordination, innovation leading and integrated expansion. The architecture foundation consists of four factors: platform architecture, installation base, intellectual property and network coverage; the connection and coordination contain five factors: interactive collaboration, multilateral user connection, information matching, neutral arbitration and mutualism; the innovation leading is composed of four factors: research and development investment, common components, complementary innovation, cross-border search and standard-setting; the integrated expansion includes resource orchestration, modular design, data collaboration, supportive enabling and scenario application.
Originality/value
This research constructs a framework of platform leadership with the influencing factors.
Details