Data has become a strategic resource and an important productive force in the era of the digital economy.How to release the value of data has become the focus and hotspot of attention in the industry and academia.Data valued process takes data resourcing,data assetizing,data commercializing,and data capitalizing as the core stage,revealing the process of data value creation from a new perspective of dynamic evolution.In general,the number of related studies covers a wide range of areas,but the research vein and focus are not particularly clear,and there is a lack of high-quality literature review in the data valued process research.Therefore,by systematically summarizing 250 English and 117 Chinese literatures on data valued process published in mainstream journals from 2011 to 2022,this paper aims to clarify the research themes,connotations,and characteristics of data valued process,discuss value realization process,and construct an integrated research framework for data valued process. The conclusions of this paper are as follows:First,the focus of data valued process research in China and the West is not exactly the same.English literatures have evolved from the management of data to the application of data in specific scenarios,Chinese literatures have evolved from data value mining to data market circulation,Second,this paper clarifies the connotation of data valued process and finds that the process relies on other traditional elements,is based on a broader ecology,generates economies of scale,has flexibility,and supports new business models.Third,the research framework for the integration of data valued process follows the logic of"antecedent factor-realization process-effect output".Key data behaviors at each stage enable data to flow through the data value chain and create data value,and this process is affected by antecedent factors such as technology,organization,and environment,which can generate data value,economic value,and social value. The future directions of this paper are that:To discuss key data behaviors such as data governance,data value assessment,and data trading;to search for suitable paths for data commercialization and data capitalization for Chinese firms;to deepen the research by combining digital contexts such as digital innovation and digital entrepreneurship;to conduct a scenario-based research on data valued process;to dig out the potential risks or negative impacts in data valued process. The contributions of this paper are that:First,it systematically reviews the existing research,and clarifies the themes of data valued process.Second,it analyzes the connotation of data valued process to identify the research scope and boundary of it.Third,it constructs an integrated research framework to promote the construction of the theoretical system of data valued process.Fourth,it proposes the research topics that need to be deeply explored in the future.
Digital capability is regarded as the prerequisite and core driving capability of enterprise digital transformation,and it is one of the emerging topics that academia and industry have paid attention to in recent years.However,the development history of digital capability research is relatively short,and there are many problems such as unclear evolution,inconsistent connotation of concepts,unsystematic distribution of results,and unclear development directions.Therefore,this paper firstly presents the overall overview and evolution of digital capability research,refines the connotation of digital capability and identifies it with the concepts of IT capability and big data capability,and analyzes the different dimensions of digital capability.Secondly,it discusses the antecedents and consequences of digital capability and the mechanism of its effects from the environmental,organizational,and individual levels.Finally,taking into account the gaps in the current digital capability research,this paper proposes that the future should deepen the conceptual understanding of digital capability,develop mature measurement scales,expand research contexts,explore different theoretical approaches,and explore the impact mechanism research from different theoretical perspectives.The purpose of this paper is to provide ideas and references for subsequent research on digital capabilities based on Chinese contexts.
This paper attempts to re-establish the micro-foundation of the digital economy.At present,many researches on the digital economy have made disturbing deviations.That is,they believe that digital technology itself can bring economic efficiency.The root cause of this problem is that these studies take the search for the optimal data(technology)as the goal,believing that if we find the optimal data and then apply it to the public,the efficiency of society will be improved directly.These studies ignore the basic position of"real people"or people's subjective judgments on the digital economy,resulting in the lack of reliable micro-foundation for these studies.The examination of the digital economy should return to"real people".That is,data cannot be assumed to be given in advance and exist as a human configuration object.Instead,data should be regarded as"human action"itself,and the process of generating data occurs simultaneously to the process of human action or economic activity.In order to introduce"real people"into the research of digital economy,this paper takes Friedrich A.Hayek's thought of Sensory Order and entrepreneurship of Austrian School of Economics as the theoretical perspectives to explain the source,generation and value of data.Among them,corresponding to the physical order,the Sensory Order explains the principle of how the human brain perceives external stimuli and forms information.The Sensory Order includes the two principles of connection and classification,which constitute the psychological basis of the digital economy research.In order to understand data,it is necessary to understand the Sensory Order.Entrepreneurial spirit refers to the use of logic by human mind,which is characterized by Dualism emphasized by Ludwig von Mises.Dualism can be understood as the existence of parts of human action that cannot be explained by external factors.According to Dualism,data do not determine human action.Obviously,for the development of the digital economy and overall economy,what matters is what entrepreneurs"do"or"what they do with data",rather than what the data itself is.Therefore,the value of data is the core of the digital economy,but entrepreneurs need to rely on the market prices to judge the value of data.According to the price,entrepreneurs judge profitable opportunities,and then use data or technology to guide resource allocation to achieve the purpose of meeting consumer demand.Therefore,price and Dualism together constitute the economic basis of the digital economy research.It should also be noted that the judgment reflecting entrepreneurship is realized in the entrepreneur's Sensory Order.Finally,this paper proposes the property rights basis for the development of the digital economy,that is,to protect the private property rights of entrepreneurs.
In the era of the digital economy,data resources have become a key factor of production.As a new type of core productivity,the assetization process of data has become an inevitable trend,but how to exert the value of data assets has become an urgent problem for enterprises to solve,and it is also a key issue in academic research.Existing literature mainly discusses the value of data assetization from a theoretical perspective,but lacks research on the impact of data assets on enterprise innovation behavior,especially the impact path of data assets on enterprise innovation investment?In this regard,this paper uses data from Chinese A-share listed companies from 2011 to 2020 to quantify enterprise data assets and examine the impact and mechanism of data assets on innovation investment. The conclusions are as follows:First,data assets can significantly increase enterprise innovation investment,and this improvement effect will be reflected in the process of data assetization,but the impact of data assets on enterprise innovation investment will show the dynamic decay characteristics of time series.Second,the role of data assets in improving innovation investment is more significant in small and medium-sized private enterprises,enterprises with high financing dependence,technology-intensive enterprises,and enterprises in areas with a low financial technology level and insufficient innovation.Third,data assets not only improve enterprises'willingness to innovate by alleviating corporate financing constraints,but also expand enterprise innovation resources by strengthening R&D cooperation between enterprises,which are conducive to enhancing enterprise innovation investment. Based on the above conclusions,the following policy recommendations are put forward:First,enterprises should strengthen the top-level design of data assets.Second,while paying attention to the process of data assets,enterprises should fully tap the potential value of data assets.Third,enterprises should pay attention to the integration and development of data assets and traditional production factors. The possible contributions of this paper are that:First,it examines the impact of data assets on enterprise innovation investment from a micro perspective,enriching the research in the micro field of data assets.Second,it quantifies data assets by discussing the process of enterprise data assetization,supplementing the quantitative research of data assets.Third,it reveals the impact path of data assets on enterprise innovation investment from the perspective of innovation willingness and innovation resources,supplementing the theoretical and empirical research of data assets.
As China is deeply integrated into the global economic system and trading system,Chinese enterprises and Chinese brands are going overseas.To integrate into the global economy,Chinese brands usually adopt two kinds of country-of-origin(COO)identity strategy to enter overseas markets:Some traditional Chinese brands adopt the"displaying Chinese identity"strategy;while some emerging Chinese brands adopt the"hiding Chinese identity"strategy.However,consumers in emerging and developed markets process COO messages differently.Therefore,based on the information processing theory,this paper takes Vietnam and Japan as the representatives of emerging markets and developed markets,to explore the impact of COO identity strategies on overseas consumers'brand attitudes,and the differences in consumers'dependence on cognitive paths and emotional paths through cross-country comparative research. Two studies were conducted in this paper.Study 1 adopted a 2(COO identity strategies:displaying Chinese identity vs.hiding Chinese identity)×2(overseas markets:Vietnam vs.Japan)between-group design.The results indicate that:In the Vietnamese market,compared with the"hiding Chinese identity"strategy,the"displaying Chinese identity"strategy leads to a more negative effect on the brand attitude toward Chinese brands.In this process,Vietnamese consumers rely more on their perceived retreat emotions and affinity toward brands rather than their evaluation of brand quality to form brand attitudes.However,in the Japanese market,the"displaying Chinese identity"strategy leads to a more positive effect on the brand attitude toward Chinese brands.In this process,Japanese consumers rely more on their evaluation of brand quality rather than their perceived agonistic emotions and affinity toward brands to form brand attitudes.Study 2 conducted a one-way(countermeasures:control group vs.ownership replacement strategy vs.brand isolation strategy)between-group design.The results show that:These two countermeasures can both effectively reduce retreat emotions and improve affinity and quality evaluation,thus improving Vietnamese consumers'brand attitudes. In terms of theoretical contributions,this paper extends the research on COO effects associated with brands going abroad from emerging markets,revealing the differentiated effects of COO identity strategies adopted by Chinese brands going abroad in different overseas markets,and demonstrating the importance of cross-country comparative research.In addition,this paper enriches the understanding of the information processing theory in the field of international brand research.In terms of practical implications,Chinese brands going abroad can adapt their COO identity strategies to suit the cognitive and emotional needs of overseas consumers to achieve a breakthrough in the market.Finally,for brands that have identified themselves as Chinese,the two market countermeasures proposed and tested in this paper can mitigate the risks encountered by Chinese brands in overseas markets without changing their country of origin.
