The evolution of the internet of things industry and market in China: An interplay of institutions,demands and supply

This paper seeks to provide some explanation as to how demand-, supply- and institutions-related factors in China have affected the creation and diffusion of Internet of Things (IoT)-related products and services. Concerning demand side factors the paper demonstrates how potential market size and existing technology trajectory work in favor of IoT diffusion. As a related demand side factor the paper argues that, in terms of the technological trajectory, China has started farther from the frontier than most industrialized countries. The degree of incremental benefit from the IoT is thus higher in the country. As to the supply side factors, the article promotes an understanding of how Chinese technology companies have capitalized on a huge user base to develop IoT-based applications. It also suggests that technologies and expertise provided by foreign multinationals have also played crucial roles. Regarding formal institutions, the government's proactive policies have been a major factor in the IoT's evolution. It is also in the Chinese government's interest to develop IoT products to make censorship and surveillance more effective. Regarding informal institutions, Chinese consumers are less concerned than Westerners about being tracked and monitored, which provides a favorable condition for the adoption of IoT-enabled devices. Nonetheless, this condition is changing due to increasing abuse of consumer privacy. China and the U.S. are compared in terms of diffusion, key determinants, performance indicators and impacts of the IoT in order to understand the areas that China outperforms—and underperforms—the U.S. Some indicators are proposed to gauge the IoT-related performance and the impacts of the IoT.     

Privacy in AI and the IoT: The privacy concerns of smart speaker users and the Personal Information Protection Law in China

In recent years, the development of Artificial Intelligence (AI) and the Internet of things (IoT) has attracted a lot of attention. One IoT device is the smart speaker that is equipped with an integrated assistant controlled by spoken commands. In the global smart speaker market, Chinese brands account for a significant share. Since smart speakers have a natural advantage when collecting user data in diverse scenarios, privacy and personal information protection have become crucial issues for both smart speaker manufacturers and users in China. This paper applies the socio-technical system (STS) framework to portray the technology subsystem, the industry/market subsystem and the regulators, law/regulation subsystem that are related to smart speakers in China, and how they interact with each other. It also uses focus group discussions to understand the smart speaker users' privacy concerns and the smart speaker industry's implementation of personal information protection. By employing the document analysis method, this study analyzes the laws and regulations related to privacy and personal information protection in the context of AI and the IoT. In particular, the potential impacts of the Personal Information Protection Law (PIPL) on smart speakers are discussed in detail. With its goal of balancing personal information protection and technological development, this paper provides recommendations for the regulatory bodies and the smart speaker industry players in China that can shed light on other countries and regions.     

Privacy and security issues in cloud computing: The role of institutions and institutional evolution

Cloud computing is likened and equated to the Industrial Revolution. Its transformational nature is, however, associated with significant security and privacy risks. This paper investigates how the contexts provided by formal and informal institutions affect the perceptions of privacy and security issues in the cloud. This paper highlights the nature, origin, and implications of institutions and institutional changes in the context of cloud computing. A goal of the present work is also to gain insights into the mechanisms and forces that have brought about institutional changes in the cloud industry. Specifically, they investigate how contradictions generated at various levels by the technology, the formation of dense networks and relationships and the changing power dynamics have triggered institutional changes. Since the current analysis of the causes and consequences of institutions and institutional change is mainly concerned with more established industries and markets, this paper is expected to provide insights into institutions surrounding to this new and emerging technological development.     

The evolution of the Internet of Things (IoT): A computational text analysis

There is increasing interest in the IoT, in both academia and industry. Extant studies have surveyed the topic of IoT using different approaches. This study takes a digital innovation view of IoT as a complex ecosystem of technologies, industry applications, concepts, methodologies, and social institutions, which is temporally dynamic and evolves over time. The study focuses on three research questions: (1) What are the important elements of the IoT ecosystem? (2) How are such IoT elements connected in the ecosystem? And (3) How have such IoT elements been evolving over time? This study adopts a topic modeling approach and extracts hidden trends from social media data. The popular elements in the IoT ecosystem are cloud computing, big data, and cybersecurity, among others. The analysis provides detailed information about popular categories or topics in the IoT ecosystem, the associations among those topics, and their evolution since 2014. Based on the findings, the study offers implications for practice and suggestions for future research.     

Blockchain as a cutting-edge technology impacting business: A systematic literature review perspective

As one of the most disruptive technological innovations, blockchain technology has received extensive attention from academia and industry. Although many scholars have reviewed the existing blockchain research, most of the previous review articles focused on the application of technology or blockchain in specific industries or scenarios, and lacked a comprehensive review of the application of blockchain technology in the business field. Based on a systematic literature review approach and cluster analysis, this study quantitatively analyzed 2830 papers obtained from the Web of Science to fill this gap. By constructing a three-layer research framework, this research enumerates the infrastructure and protocols of blockchain technology in detail, and on this basis develops a three-subjects value creation model. The model highlights that business value can be created from transactions, crypto-economic models, and analytical and automated processes in the interaction of organizations, individuals, and technologies. Different blockchain-based applications solve different kinds of economic problems, including information storage/sharing, consensus generation and governance. This study expands the blockchain literature and deepens our understanding of how blockchain technology affects organizations and individuals in the business world. The newly proposed research framework can inspire practitioners and managers to discover opportunities for business model innovation. This work provides a solid research foundation and practical guidance for academics and practitioners who are interested in blockchain-based business.     

Big data׳s impact on privacy,security and consumer welfare

The purpose of this paper is to highlight the costs, benefits, and externalities associated with organizations׳ use of big data. Specifically, it investigates how various inherent characteristics of big data are related to privacy, security and consumer welfare. The relation between characteristics of big data and privacy, security and consumer welfare issues are examined from the standpoints of data collection, storing, sharing and accessibility. The paper also discusses how privacy, security and welfare effects of big data are likely to vary across consumers of different levels of sophistication, vulnerability and technological savviness.     

An evaluation of China's evolving broadband policy: An ecosystem’s perspective

Although it is generally agreed that governments should have some roles in the development of broadband, questions about the specific role of governments remain unanswered, particularly from the perspective of developing countries. This paper evaluates China’s evolving broadband policy by developing a two-dimensional analytical framework, with the different stages of broadband development represented by columns and the four components of broadband ecosystem represented by rows. Generally speaking, China's telecommunications development has been driven by investments from government-allied entities and features a strong industrial policy. However, the Chinese government has chosen a somewhat soft-intervention approach in broadband development and relied on the market itself to grow by creating a competitive market structure. As the market has recently evolved to a certain degree of saturation, there is a seemingly shift of emphasis in China's broadband policy from infrastructure buildup and service provision to application creation and user demand stimulation. However, China’s broadband future is uncertain due to unsettled but important institutional and financial issues. Policy changes appear not to keep up with the broadband ecosystem evolution.     

Cloud Computing: Architectural and Policy Implications

Cloud computing has emerged as perhaps the hottest development in information technology. Despite all of the attention it has garnered, existing analyses focus almost exclusively on the issues surrounding data privacy without exploring cloud computing’s architectural and policy implications. This Article offers an initial exploratory analysis in that direction. It begins by introducing key cloud computing concepts, such as service oriented architectures, thin clients, and virtualization, and discusses the leading delivery models and deployment strategies being pursued by cloud computing providers. It then analyzes the economics of cloud computing in terms of reducing costs, transforming capital expenditures into operating expenditures, aggregating demand, increasing reliability, and reducing latency. It then discusses the architectural implications of cloud computing for access networking (focusing on bandwidth, reliability, quality of service, and ubiquity) and data center interconnectivity (focusing on bandwidth, reliability, security and privacy, control over routing policies, standardization, and metering and payment). It closes by offering a few observations on the impact of cloud computing on the industry structure for data centers, server-related technologies, router-based technologies, and access networks, as well as its implications for regulation.     

Use of blockchain in the agri-food value chain: State of the art in Spain and some lessons from the perspective of public support.

The Common Agricultural Policy (CAP) of the European Union, in effect since January 2023, seeks to differentiate products on quality, provide greater transparency on food origin, and on the transactions and the actors involved in the supply chain. At the same time, in Spain, the adoption of new technologies for the digitization of the agri-food sector has been proposed as a solution to address structural issues such as lack of competitiveness and innovation. In fact, systems using blockchain-related technologies for food control and traceability have seen great progress in recent years and, currently, the use of blockchain in supply chain management is almost doubling year on year. In this context, this paper investigates the level of development of blockchain technology in the agri-food sector in Spain and its applications for certifying food production conditions within the supply chain, and how it is supported by public policies. It identifies several challenges that need to be addressed for a widespread adoption could take place, such as data recorded on the blockchain, lack of standards, limited scope of projects, and integration of data capture automatically or with other technologies like RFID and AI. The document proposes to reorient public development policies to address these challenges, such as reusing data from, already in place, European data collections for production control and food traceability, educating users and stakeholders about the use of blockchain technology, and fostering legal and technical provisions which ensure system transparency to facilitate a successful implementation of blockchain.     

云制造环境下制造能力共享的动态策略分析

本文在物联网环境下,考虑制造商剩余制造能力共享的动态性及对需求产生的影响,借助微分博弈研究了单个云平台和制造商构成的两级供应链制造能力共享问题。分析了供应链中制造商占主导的Stackelberg博弈、纵向合作以及云平台提出成本分担契约的情形,构建了相应的动态模型,得到反馈均衡策略及利润;发现合作共享能提高供应链整体利润,一定条件下实施的成本分担契约能实现供应链的协调;最后,通过数值分析,验证了结论的有效性。     

Open innovation ecosystem organizing from a process view: a longitudinal study in the making of an innovation hub

This paper uses process theory as a theoretical lens to analyze AstraZeneca's enactment of an open innovation initiative with the purpose of strengthening the firm's surrounding innovation ecosystem. Based on empirical data collected over 7 years, we develop a process model of open innovation enactment and explain how the initiative gradually transformed while maintaining its guiding principles, which were set from the start. In applying a process perspective, we highlight open innovation initiatives as dynamic and evolutionary – but not deterministic – developments. As such, we provide a comprehensive and more nuanced understanding of not only what open innovation is but also how it becomes. This study also contributes to the innovation ecosystem literature by theorizing how firms orchestrate innovation ecosystems through open innovation initiatives over time.     

区块链辅助航天数据分发的可行性分析及方案设计

为了快速准确、安全可信地分发海量航天数据,基于区块链技术的可溯源和不可篡改等特性,提出了一种新的航天数据分发方案.首先,在总结传统航天数据分发服务不足的基础上,分析了区块链技术在航天数据分发领域的优势以及应用过程中可能遇到的重点问题,并给出了可能的解决方法;其次,从技术架构、节点部署、模块划分3个角度设计了基于区块链的...     

Developing logistics value propositions: Drawing Insights from a distributed manufacturing solution

With a focus on supply chains as ecosystems of service exchange, our paper aims to explore how value propositions are developed and evolve via combinations of service innovation. A single longitudinal case study is presented. The units of analysis are different projects along a logistics service provider (LSP)’s innovation journey. The study explores how the case company identified innovation in logistics as a gap and developed a distributed manufacturing strategy with a unique business model involving a reallocation of production functions across a global supply network. Our contribution is two-fold. In terms of theory, we adopt a service-dominant logic perspective to investigate how companies' value propositions evolve over time. In terms of managerial contributions, our paper provides insights into how service providers can strategically integrate their resources with service ecosystem partners to provide competitive business propositions.     

Exploring the roles of university spin-offs in business networks

This paper identifies different university spin-off (USO) roles related to resource interaction among business parties. It does so by mapping how USOs become part of business networks in terms of their roles relative to other parties. The theoretical frame of reference focuses on roles and resource interaction based on an industrial network approach to business markets. The empirical research is based on five cases of USOs representing a variety in terms of technology, degree of newness, sector, and area of application. As a result of the analysis, three different roles are identified: the USO as resource mediator, resource re-combiner and resource renewer. These roles reflect how USOs adapt resources to, or require changes among, business parties' resources. The paper also discusses the main resource interfaces associated with the three roles and related challenges. The paper contributes to previous research through illustrating USOs' roles relative to business parties from a resource interaction point of view, and by pointing to the establishment of new companies in business networks as a way of implementing innovation. Finally, the paper discusses the managerial implications of the research in terms of the USO's need to understand which role to take and how to develop it.     

Regulating Data Privacy and Cybersecurity

This paper studies firms' data privacy and cybersecurity choices. We emphasise the strategic interdependence between these decisions and demonstrate that security in both the market equilibrium and the social optimum tends to be higher when data is shared. We also identify important market failures in the sense that firms tend to under-invest in security and over-share data. Our welfare analysis of a minimum security standard, disclosure and consumer education policies, liability rules and consumer mitigation strategies highlights the need for a co-ordinated approach to regulation.     

Assessing the relational benefits of logistics services perceived by manufacturers in supply chain

The growing importance of logistics activities that span the boundaries of supply chain firms has put an emphasis on supply chain relationship management. Based on the existing marketing concept on relational benefits and the supply chain management literature on consumer satisfaction, this research evaluates logistics service performance from the eyes of manufacturers. Using data collected from US manufacturing firms, the study has identified the factors that influence manufacturer's satisfaction, as well as the key to understanding the benefits-satisfaction-loyalty triads in supply chain relationships. The contribution of the paper includes developing a conceptual model, adding new theoretical insights into benefits-satisfaction-loyalty triad that has been applied by manufacturers and LSPs, and providing some meaningful perspective on how to strategically assess the use of logistics providers so as to transform a logistics firm from a tactical service provider to a hand-in-glove strategic partner.     

Towards a theory of ecosystems

Research Summary: The recent surge of interest in “ecosystems” in strategy research and practice has mainly focused on what ecosystems are and how they operate. We complement this literature by considering when and why ecosystems emerge, and what makes them distinct from other governance forms. We argue that modularity enables ecosystem emergence as it allows a set of distinct yet interdependent organizations to coordinate without full hierarchical fiat. We show how ecosystems address multilateral dependences based on various types of complementarities—supermodular or unique, unidirectional or bidirectional—which determine the ecosystem's value‐add. We argue that at the core of ecosystems lie nongeneric complementarities, and the creation of sets of roles that face similar rules. We conclude with implications for mainstream strategy and suggestions for future research. Managerial Summary: We consider what makes ecosystems different from other business constellations, including markets, alliances, or hierarchically managed supply chains. Ecosystems, we posit, are interacting organizations, enabled by modularity, not hierarchically managed, bound together by the nonredeployability of their collective investment elsewhere. Ecosystems add value as they allow managers to coordinate their multilateral dependence through sets of roles that face similar rules, thus obviating the need to enter into customized contractual agreements with each partner. We explain how different types of complementarities (unique or supermodular, generic or specific, uni‐ or bi‐directional) shape ecosystems and offer a “theory of ecosystems” that can explain what they are, when they emerge, and why alignment occurs. Finally, we outline the critical factors affecting ecosystem emergence, evolution, and success—or failure.     

Innovation ecosystems theory revisited: The case of artificial intelligence in China

Beyond the mainstream discussion on the key role of China in the global AI landscape, the knowledge about the real performance and future perspectives of the AI ecosystem in China is still limited. This paper evaluates the status and prospects of China's AI innovation ecosystem by developing a Triple Helix framework particularized for this case. Based on an in-depth qualitative study and on interviews with experts, the analysis section summarizes the way in which the AI innovation ecosystem in China is being built, which are the key features of the three spheres of the Triple Helix -governments, industry and academic/research institutions-as well as the dynamic context of the ecosystem through the identification of main aspects related to the flows of skills, knowledge and funding and the interactions among them. Using this approach, the discussion section illustrates the specificities of the AI innovation ecosystem in China, its strengths and its gaps, and which are its prospects. Overall, this revisited ecosystem approach permits the authors to address the complexity of emerging environments of innovation to draw meaningful conclusions which are not possible with mere observation. The results show how a favourable context, the broad adoption rate and the competition for talent and capital among regional-specialized clusters are boosting the advance of AI in China, mainly in the business to customer arena. Finally, the paper highlights the challenges ahead in the current implementation of the ecosystem that will largely determine the potential global leadership of China in this domain.     

Supplier adaptation: A qualitative investigation of customer and supplier perspectives

Differing views and goals in the buyer–supplier dyad can create underlying tension in supply chain relationships. Although research recognizes that adaptation is often expected from both customers and suppliers in exchange relationships, researchers have not adequately explored the long-range relational implications of customer adaptation requests. This research uses data from two qualitative focus groups to examine the interaction of customers and suppliers surrounding adaptation, as prior research has not yet considered how the customer's response to adaptation may change if they are aware of how the supplier actually perceives and evaluates specific adaptation requests. The first focus group included 20 active participants representing both customer and supplier perspectives, while the second focus group included five participants to provide a more in-depth examination of issues that emerged in the first focus group. Results suggest that customers' and suppliers' adaptation expectations differ; each has difficulty recognizing adaptation conflict because of perceived benefits and biases surrounding adaptation. Results suggest several adaptation conflict management behaviors are utilized to minimize its negative impacts on supply chain relationships, including blameshifting, justifying and negotiating techniques. Results suggest that trust can create blind spots in relationships, potentially causing customers and their suppliers to have difficulty recognizing conflict until it deteriorates relationships' foundational trust.