Industrial Transformation Research Articles

Digital Transformation in the Music Industry: Session Musicians Matchmaking Platform Effectiveness Analysis

The music industry has been through a significant digital transformation in recent years, with one interesting development being the rise of matchmaking platforms for session musicians. Despite their potential benefits, the effectiveness and impact of these platforms on the music industry are not well studied. Therefore, this study aims to analyze the effectiveness of session musician matchmaking platforms and their implications for the music industry. Leveraging the architecture capabilities of The Open Group Architecture Framework (TOGAF), specifically the Architecture Development Method (ADM), all the participants with their current processes and pain points are identified. The identified pain points are then validated using the empathy map method through an online questionnaire. From the identified pain points, values are developed as the main targets for pain relievers in the current situation, which are later evaluated against existing platforms of a similar nature. After comprehensive research and data analysis, several key insights emerged. First, the findings reveal that, under the current traditional model, the collaboration process between session musicians and music entertainment continues to function effectively. Second, there is enthusiasm among participants for platforms that offer solutions to common challenges faced in collaboration processes. However, the research data shows low levels of adoption and utilization among participants. This suggests there is a huge opportunity for the development and promotion of matchmaking platforms designed specifically for session musicians and music entertainment to enhance collaboration and improve the music industry.

Research on the Network Communication Strategy of New Energy Vehicle Brand in Xi an China -- Taking NIO as an Example

With the increasing global attention to sustainable development and environmental protection, new energy vehicles have become the main direction of transformation and upgrading of the global automotive industry and green development. As one of the world s largest auto markets, China is also actively promoting the development of the new energy vehicle industry. This project will visit the sales points and service centers of NIO in Xi an market to understand the specific implementation of its network communication strategy. Therefore, this research intends to establish a perceived intention model to analyze the related factors of network communication effect in the light of Technology Acceptance Model (TAM). At the same time, the questionnaire survey method is adopted to collect data on the network communication strategy and consumer feedback of NIO, learn consumers feedback and satisfaction on the network communication strategy of new energy vehicles, provide key market insights, and better understand consumers demands and expectations.

Strategies Management for Mass Customization in the Apparel Industry: Case of Market Demand and Risk in China

With the development and adjustment of the industrial structure, the manufacturing industry, especially the transformation and upgrading of the apparel industry, is crucial for Chinas high-quality economic development. This paper studies the strategies of cooperation, consumer demand response, and risk identification and control in the mass customization market of the Chinese apparel industry. Firstly, it explores the co-creation strategies among enterprises in mass customization, analyzing cases of efficient resource allocation and cooperation in excellent apparel companies. Secondly, from the consumer behavior perspective, it studies how companies meet personalized needs through combined online and offline marketing models and brand positioning strategies. Finally, analyzing the supply chain, consumers, and internal aspects of enterprises, the risk factors in the mass customization market are identified, and corresponding pre-control measures are proposed. This study aims to provide management suggestions for apparel enterprises in the wave of mass customization, helping small to medium-sized enterprises (SMEs) face market challenges and improve operational efficiency and market competitiveness.

Transformation and Development of New Energy Vehicle Industry Based on Social Policy Inquiry

The new energy vehicle industry has drawn the interest of international attention with the growing global demand for sustainability and reduction of carbon footprint. The growth of the New Energy Vehicle (NEV) industry is profoundly influenced by global policies aimed at driving technological innovation, meeting environmental requirements, and facilitating economic transformation. Multiple stakeholders, from policymakers to companies, from consumers to technology developers, are working together to drive the rapid growth of this industry. By analyzing research and practices from various nations and areas, insights can be gained on strategies for successfully advancing the growth of the new energy vehicle sector. From a social point of view more environmentally friendly, reducing the pollution of the traditional class of oil vehicles on the environment; from the consumer point of view, due to the fierce competition in the growth of the automotive new energy sector, the businessman will provide more tempting products to attract consumers, to promote the consumer to pick the price is more suitable for the quality of the product better, and further increase customer satisfaction. The future development of the new energy vehicle industry relies on progress on multiple fronts: policy, technology, and market. The healthy development and environmental sustainability of the industry can be more effectively promoted through international cooperation, technological innovation, and a deeper understanding of consumer needs. Policymakers need to take these factors into account to ensure that policies are both relevant to current market and technological realities and adaptable to future changes.

Case Study on the Inherent Mechanisms Driving Industrial Innovation through Data Empowerment

In the context of the profound integration of big data, artificial intelligence technologies, and industries, both data resources and digital technologies became crucial pillars supporting the development of industrial innovation. They played key roles in enhancing the innovation capabilities of industries. In this regard, the present study employed the specific case of the intelligent brain of the Taizhou Machine Tool Industry. Utilizing grounded theory, the research integrated relevant data through coding analysis and category extraction to construct a comprehensive theoretical model of the intrinsic mechanisms driving industrial innovation through data empowerment. The study revealed that the realization of data-empowered industrial innovation followed a logical path of 'data resource services data capability spillover industrial innovation achievement.' Specifically, data empowerment operated across three dimensions: industrial resources, production, and ecology, effectively propelling the realization of industrial innovation. From a systematic perspective, this research analyzed the intrinsic mechanisms of data-empowered industrial innovation, deepening the theoretical understanding of industrial innovation. In the context of past industrial digitization transformation, these findings provided valuable insights for guiding industrial innovation development.

On ways to reduce the energy supply costs in Russia

Purpose: is to research of ways to reduce the energy supply costs for Russian consumers.Methods: the analysis of the transformation of the electric power industry was carried out using the tools of tectology and system economic theory.Results: the key reason for the constant increase in the cost of energy supply has been identified, which is the transition from a systematic approach to energy development aimed at increasing general economic efficiency to maximizing the economic performance of independent energy companies. The need to adjust the basic principles laid down in the concept of electric power industry development is substantiated.Conclusions and Relevance: the result of the successful completion of the reform of the Russian electric power industry is a steady influx of significant investments into the industry over the course of decades. But despite the increase in power system capacity, which is outstripping the dynamics of electricity demand, the need for the most expensive peak power sources and energy storage systems is growing, which leads to an increase in electricity prices in addition to the investment component. A positive feedback has been identified that reduces the structural stability of the energy sector, namely: between rising electricity prices; reduction of electricity consumption from the network as a result of the installation of their own generation by some consumers; increasing costs of generating and network companies; more intensive growth in electricity prices and increased motivation to install their own generation for that part of consumers who continue to use grid electricity. The ways are proposed and the solutions are considered aimed at forming new connections between participants in the single technological process of production, transmission and consumption of energy resources, with the aim of reducing the energy supply costs and improving the specific performance indicators of the energy system, and in the future reducing the costs of integrating renewable energy sources into it.

Research on the Mechanism of Digital Economys Impact on Regional Industrial Structure Upgrading: A Case Study of Shenzhen

The digital economy, as an integrated economy, has become the driving force behind economic growth in various regions, fueling economic transformation and upgrading and serving as the focal point of industrial competition. Shenzhen, as a major first-tier city and a pilot demonstration area for socialism with Chinese characteristics, is taken as an example in this study. By exploring the mechanisms through which the digital economy impacts the upgrading of regional industrial structures, this paper analyzes how the digital economy promotes regional industrial transformation and upgrading through technological innovation, industrial integration, and market competition. It also discusses the existing problems and challenges, and proposes corresponding policy recommendations in areas such as talent cultivation, improving social welfare, and supporting enterprises to better leverage the role of the digital economy in upgrading the regional industrial structure. These efforts aim to ensure the sustainable development of Shenzhens economy, making the new engine more powerful in leading development, creating jobs, supporting international competition, and driving Shenzhens economic and social progress toward high quality.

A comprehensive evaluation of factors influencing offsite construction and BIM integration in the construction industry

PurposeThe construction industry's transformation of prefabrication into large-scale offsite manufacturing continues to grow. While the Offsite Construction (OSC) transition has brought positive changes to the industry, it also presents various challenges. Literature suggests that to address the challenges, advanced technologies such as Building Information Modeling (BIM) can be applied for effective mitigation. Nonetheless, the combined application of BIM and OSC is in its infancy and faces challenges in many countries. This study aims to investigate the factors influencing OSC and BIM integration, including challenges and strategies within the New Zealand construction industry.Design/methodology/approachThis study explores which specific factors impact integration positively or negatively through a comprehensive literature review and confirmatory survey. Factor Analysis (FA) was used as the data analysis method, resulting in eight groups of underlying factors. Next, three Structural Equation Models (SEM) were developed and tested to analyze the impact of latent and observed variables on OSC and BIM integration.FindingsSignificant underlying factors affecting OSC and BIM integration were identified, and recommendations to enhance integration were provided. Specifically, the findings demonstrated that three underlying factors for challenges, two for strategies and three for integration were identified through EFA and confirmed by CFA. This step was followed by SEM, which employed three different path analysis models for integration variables. It clarified that not all variables have similar impacts on integration; some exhibit significant positive or negative effects, while others are not significant at all.Originality/valueThe identified challenges and strategies for OSC and BIM integration and their impact on integration factors can contribute to developing standardized integration guidelines and frameworks to assist stakeholders in focusing on their specific integration goals.

Temporal insights into mega-events and waterfront industrial heritage transformation: a case study of Shanghai’s Huangpu River industrial zone

This research examines the evolution and renewal of Shanghai’s Huangpu River industrial zone after the 2010 Shanghai Expo, with a temporal focus on the profound changes and development philosophies driven by this mega-event. By investigating emblematic case studies along the Huangpu River, such as the transformative 80,000-ton silo, the Shanghai Museum of Contemporary Art, and the Long Museum, this research articulates how mega-events serve as pivotal moments for reimagining and repurposing industrial heritage. In the wake of the 2010 Shanghai Expo, these industrial relics emerged as focal points of urban regeneration, embodying the tensions and synergies between historical preservation and contemporary urban development. This study explores the temporal layers—from the event’s catalytic role to enduring legacies—and reveals how time influences the trajectory of urban spaces and the community’s connection to them. Through this temporal lens, the paper analyses the redevelopment process, assessing how these initiatives have reconfigured the industrial waterfront into a dynamic cultural landscape. The findings offer a dynamic perspective on the temporal dimensions that underpin the redevelopment of industrial heritage sites, providing insights into how such spaces can be continuously activated and symbiotically integrated into the fabric of the city. This paper aims to contribute to a broader understanding of the complexities involved in harnessing industrial heritage for mega-events, with implications for future urban planning and heritage conservation strategies.

Analysis of disequilibrium and driving factors of carbon emission efficiency: Evidence from five major urban agglomerations in China

Urban agglomerations (UAs) are not only highly integrated economic communities but also communities of shared destiny with integrated environmental protection and ecological construction. Although low-carbon development within UAs has garnered significant attention, a lack of comprehensive analysis remains regarding the imbalances and driving factors influencing carbon emission efficiency (CEE) in these regions. This study investigates the CEE of China's five national UAs from 2006 to 2020 by incorporating the meta-frontier framework into the super slack-based model. The global Malmquist index analyzes dynamic trends in CEE by decomposing the total factor productivity of carbon emissions to examine the catch-up, innovation, and technological leadership effects. In addition, this paper employs the Theil index to explore the disequilibrium of CEE among the five UAs. Outcomes reveal that, first, CEE has regional heterogeneity, with the Pearl River Delta UA (PRDUA) having the highest CEE and the Beijing–Tianjin–Hebei UA (BTHUA) having the lowest CEE. The gap between BTHUA's CEE and that of other UAs is widening. Second, the overall CEE holds improvement room, with its disequilibrium resulting from uneven city growth within the UA. Third, the innovation effect is the key to improving CEE. Fourth, PRDUA serves as the technical leader among all UAs, while the two UAs in the inland area possess the potential for technical leadership. Finally, drawing from the empirical results, this paper provides specific suggestions for advancing industrial transformation, boosting innovation capabilities, and minimizing internal imbalances within UAs. The goal is to steer UAs in China toward low-carbon development.

Path of Co-control of Pollution and Carbon Emissions Reduction in Typical Parks of Pharmaceutical and Health Industry in Beijing

The agglomeration of carbon emissions from the pharmaceutical and health industry has been growing gradually in Beijing. Conducting research on the path of co-control of pollution and carbon emission reduction in industrial parks is essential to realize synergy between economic development, pollution reduction, and green low-carbon. Based on the production activity data in 2020 of two typical parks of manufacturing and R&D, we selected six measures for co-control of pollution and carbon emission reduction and set up a synergistic development scenario to explore the collaborative development path of different types of parks. The results showed that： ① The primary carbon emission source in the two parks was energy consumption, such as natural gas and electricity, whereas the major pollution source was from key polluting enterprises. The emissions in the R&D park were significantly lower than those in manufacturing parks, with atmospheric pollutant emissions accounting for 25% of the manufacturing park's emissions. ② Energy structure and intensity, along with pollutant emission reduction measures, contributed 62.6% and 37.4% to pollution and carbon emission reduction for the R&D park and 81.6% and 13.5% for manufacturing park, respectively. ③ Adjusting the energy structure of the park and prioritizing the management of key polluting enterprises could achieve synergistic emission reduction, with the rate of emission reduction primarily reflecting atmospheric pollutants. Reducing energy intensity could also facilitate synergistic emission reduction, with a rapid rate of carbon emission reduction. Optimizing the industrial structure could lead to different degrees of pollution and carbon emissions increasing synergistically or not synergistically, owing to the particularity of the industrial structure of the park. ④ Applying measures to adjust the energy structure and reduce energy intensity and pollutant emissions into the collaborative path should be a priority. The governance scope of key polluting enterprises should be appropriately expanded in manufacturing parks. The synergistic effect of public environmental protection facilities of R&D parks should be focused on, in addition to reducing corporate pollutant emissions. Measures to optimize industrial structure at the park level should be adjusted to local conditions and scientifically guide industrial transformation and the settlement of high-tech enterprises.

Digital Economy and Industrial Structure Transformation: Mechanisms for High-Quality Development in China’s Agriculture and Rural Areas

The digital economy’s transformative impact on agriculture presents both opportunities and challenges for China’s pursuit of high-quality agricultural and rural development. This study investigates the complex interplay between digital economy, industrial structure transformation, and agricultural advancement using panel data from 31 Chinese provinces spanning 2012–2021. We employed mediation analysis and threshold effect models to uncover several key findings: (1) The digital economy influences high-quality agricultural and rural development through the dual-mediating mechanisms of industrial structure intensification and upgrading in China. (2) These mediating effects exhibit heterogeneous patterns: while industrial intensification positively channels the digital economy’s impact, industrial upgrading shows an initial negative indirect effect, suggesting potential short-term disruptions. (3) The relationship between digital economy and agricultural development is nonlinear, characterized by significant threshold effects. The digital economy’s positive impact becomes more pronounced as industrial structure surpasses certain sophistication and advancement thresholds. Our findings reveal the nuanced dynamics of digital-driven agricultural transformation, highlighting the need for targeted policies that leverage industrial-structure changes while mitigating potential adverse effects. This research contributes to a more comprehensive understanding of how digitalization can be harnessed to promote sustainable and high-quality agricultural and rural development in China, with implications for other developing economies navigating similar transitions.

Preparation and performance optimization of fly ash- slag- red mud based geopolymer mortar: Simplex-centroid experimental design method

Cement production emits a large amount of CO2 into the atmosphere and consumes significant mineral resources, necessitating urgent green transformation in this traditional industry. To address carbon emissions in the building materials sector and effectively utilize industrial solid waste, this study presents the preparation of geopolymer mortar using a ternary mixture of fly ash (FA), slag (GGBS) and red mud (RM), making full use of the advantages of each component to optimize the mix proportion. The mix proportions are determined using the simplex-centroid experimental design method, with NaOH concentration (8 M, 10 M, 12 M) as the independent variable, aiming to meet multi-objective performance requirements including fluidity, setting time, flexural strength, and compressive strength. The microstructure and composition of hydration products are examined through scanning electron microscopy (SEM) and X-ray diffraction (XRD). Finally, the optimal mix proportion range is proposed. Results indicate that: (1) When the concentration of NaOH increases, the setting time is shortened, and the mechanical properties first increase and then decrease. The optimal alkali concentration is 10 mol/L. (2) RM and FA exhibit similar effects on mechanical properties, suggesting RM can replace FA in geopolymer material preparation. Besides, RM significantly reduces fluidity. (3) GGBS enhances mechanical properties and shortens setting time. The increase of GGBS content provides more CaO for the matrix and generates more compact C-S-H gel, and thus, the flexural strength and compressive strength of the geopolymer mortar are improved. When GGBS blending amount is 50 % and NaOH is 10 M, the flexural strength and compressive strength of mortar can reach 15.66 MPa and 69.06 MPa, respectively. (4) The simplex-centroid experimental design method provides a mix proportion design method that can meet the requirements of multiple properties at the same time.

Analysis of the spatiotemporal coupling coordination relationship between industrial development and water resource security in China

ABSTRACT Industrial development is an important part of economic and social development, and a stable pattern of water resource security can meet the needs of economic and social development. Therefore, correctly handling the relationship between industrial development and water resource security in China is the key to achieving high-quality development. This paper takes 287 prefecture-level cities in China from 2010 to 2019 as the research object, establishes the evaluation index system of industrial development and water resource security, calculates the comprehensive index of industrial development and water resource security by the entropy weight method, and analyzes the spatiotemporal evolution trend of the two by using the coupling coordination degree model. The results show that the degree of coupling coordination between industrial development and water resource security in China shows an overall upward trend from 2010 to 2019. Optimizing the industrial structure and promoting industrial transformation and upgrading can effectively improve the coupling coordination level between industrial development and water resource security, and the degree of industrial development threatening water resource security is stronger than the degree of water resource security restricting industrial development. The research conclusion has important practical significance for optimizing industrial structure and implementing regional differentiation policy.

Smart City Construction, Artificial Intelligence Development, and the Quality of Export Products: A Study Based on Micro-Level Data of Chinese Enterprises

Quality improvement is essential for a nation’s economy to transition from large to strong. In the 21st century, a new wave of quality development has emerged globally, and upgrading the quality of enterprise export products is a key measure for driving exports and supporting high-quality economic development. The development of artificial intelligence, as the new core engine driving technological revolution and industrial transformation, will profoundly alter various aspects of economic activities, including production, distribution, exchange, and consumption. Exploring and cultivating new artificial intelligence-driven momentum to enhance the quality of enterprise export products is inevitably a major theoretical and practical issue of common interest to governments, enterprises, and academia. This paper uses China, a major developing and export-oriented economy, as a case study to explore the policy measures for stimulating new momentum in artificial intelligence development and their effects and transmission mechanisms on improving the quality of enterprise export products. Specifically, it constructs a theoretical model to examine the relationship between smart city construction, artificial intelligence development, and the quality of enterprise export products. By considering the smart city construction projects launched by the Chinese government as a quasi-natural experiment to facilitate artificial intelligence development, the study employs matched city-enterprise data from 2007 to 2015 and utilizes a difference-in-differences (DID) methodology to empirically test the impact of smart city construction on enhancing the quality of enterprise export products. According to the study, the policy-driven nature of smart city construction significantly enhances the quality of enterprise export products. This beneficial impact is particularly evident in the eastern regions, as well as in labor-intensive and capital-intensive industries, and among foreign-invested and private enterprises. Mechanism tests and additional analyses indicate that artificial intelligence development is significantly more advanced in smart cities than in non-smart cities, with the gap between them steadily widening. The construction of smart cities significantly advances artificial intelligence development, which subsequently enhances the quality of enterprise export products. Furthermore, smart cities can substantially contribute to this improvement by facilitating a more efficient, market-oriented allocation of resources.

Digital Transformation In The LPG Industry: Leveraging IoT And Data Analytics For Operational Efficiency

This study presents a comprehensive systematic review exploring the transformative impact of Internet of Things (IoT), Supervisory Control and Data Acquisition (SCADA) systems, and automation technologies on the operational efficiency of the Liquefied Petroleum Gas (LPG) industry. Leveraging the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a rigorous review process was conducted to identify, screen, and synthesize existing research. A total of 90 high-quality articles were systematically reviewed to assess how digital technologies are revolutionizing key aspects of LPG operations, including inventory management, predictive maintenance, and fleet optimization. The findings reveal that integrating IoT and SCADA systems enhances real-time monitoring, significantly reduces manual errors, and improves accuracy in inventory tracking, leading to cost reductions of up to 30%. Moreover, predictive maintenance enabled by IoT data analytics was shown to decrease unplanned downtime by 40% and maintenance costs by 25%, further ensuring the reliability of equipment in this high-stakes industry. The review also highlights how automation and digitalization streamline logistics, optimize fuel usage, and improve customer satisfaction by reducing delivery lead times by 20%. Additionally, these technologies support sustainability goals by minimizing carbon emissions through optimized fleet management. By providing a detailed synthesis of current research, this review not only underscores the benefits of digital transformation in the LPG industry but also identifies gaps in the literature, suggesting avenues for future studies to enhance operational excellence, safety, and sustainability in this critical sector.

The haze reduction effect in china under the digital economy

Haze pollution is becoming increasingly serious as it endangers human health and pressurizes economic development. This study incorporates the digital economy and haze pollution management into a unified research framework, and uses the panel data of 285 cities in China from 2011 to 2020 to precisely identify the haze reduction effect of the digital economy, governance mechanisms, and the non-linear and spatial spillover characteristics of the haze reduction effect in China. The findings demonstrate that: First, the digital economy can significantly reduce haze pollution, and this conclusion still holds after considering endogeneity and other robustness tests. Second, the digital economy can inhibit haze pollution by promoting industrial upgrading and improving total factor energy efficiency, and there is a chain mechanism of “industrial green transformation → total factor energy efficiency” and “factor market distortion → total factor energy efficiency.” However, the haze reduction mechanism of digital economy is heterogeneous to cities with different levels of economic development. Independent transmission mechanism plays a complete intermediary role in cities with low level of economic development, while it plays a partial intermediary role in cities with high level of economic development. Chain transmission mechanism only has an impact on cities with high level of economic development. Third, there is an evident threshold effect on the digital economy, and its haze reduction effect has N-type non-linear characteristics. Meanwhile, Digital economy has threshold effect on the mechanism of restraining haze pollution through total factor energy efficiency, industrial green transformation and factor market distortion. With the development of total factor energy efficiency, industrial green transformation and the reduction of factor market distortion, the haze reduction effect of digital economy can produce a qualitative leap. Fourth, Haze pollution in the spatial, temporal, and spatial dimensions has spillover and warning effects, and the haze reduction effect of digital economy shows strong positive externalities. Therefore, the digital economy should be actively developed, and industrial green transformation and factor market reform should be promoted to curb haze pollution by promoting industrial upgrading, improving energy efficiency and strengthening regional joint prevention and control mechanisms.

Ecosystem model of development of the unmanned aircraft systems industry

The article analyzes the structural transformations of Russian industry in the context of external constraints and the need to ensure technological sovereignty in high-tech industries. The scientific hypothesis of the work is the assumption of the importance of cross-sectoral coordination of subjects of industrial policy in order to develop the production of critical products. The digital industrial ecosystem of the unmanned aircraft systems (UAS) industry is considered as an object of research. The purpose of the research is to develop the foundations of the structure of the ecosystem model of the development of the UAS industry and substantiate the feasibility of its application in the interests of improving high-tech industries of the Russian Federation. The article offers the author’s interpretations of the concepts of “digital industrial ecosystem” and “cross-industry ecosystem”, substantiates the principles of functioning of the ecosystem model and its architecture. An ecosystem model of the development of the UAS industry was developed, including management bodies, technical infrastructure, organizational and economic tools, technological clusters and a network of participants. The main distinguishing features of the proposed model from the existing ones are: the distribution of ecosystem management bodies that ensure the autonomy of management at all horizontal and hierarchical levels of its organization; the ecosystem is considered as an instrument of the mechanism of strategic development of high-tech industries involved in the creation of civil-purpose UAS, and provides cross-industry interaction of participants in order to accelerate the development of industrial production and the formation of the UAS market. The ecosystem management model will ensure the possession of up-to-date data of actual and planned indicative evaluation indicators of the state and development of the industry on a time scale close to real, based on the principle of digital transparency.

How can local government capacity lift the ‘resource curse’? A study from the perspective of industrial structure transformation

Industrial transformation is crucial for sustainable urban development and economic security. Although more studies have analyzed the relationship between resource endowment and urban industrial transformation, they have failed to include the key factor of local government capacity in the analysis. Based on the panel data from 267 cities in China from 2003 to 2018, the study examines the impact of resource endowment on industrial transformation and the role of local government capacity in it by using linear models and panel threshold models. This study finds that resource endowment promotes the development of the secondary industry in urban, but hinders the development of the tertiary industry. There is a moderating effect of local government capacity that mitigates the lock-in effect of resource endowment on industrial transformation. This moderating effect demonstrates heterogeneity among cities with different levels of resource endowment and geographic locations, and the results are robust. Furthermore, this study concludes that under different local government capacity, the moderating effect of local government capacity on the relationship between resource endowment and industrial transformation is nonlinear, and it also finds that the stronger local government capacity is not the better.

Strategic digital product management: Nine approaches

Context:The role of product management (PM) is key for building, implementing and managing software-intensive systems. Whereas engineering is concerned with how to build systems, PM is concerned with ’what’ to build and ’why’ we should build the product. The role of PM is recognized as critical for the success of any product. However, few studies explore how the role of PM is changing due to recent trends that come with digitalization and digital transformation. Objectives:Although there is prominent research on PM, few studies explore how this role is changing due to the digital transformation of the software-intensive industry. In this paper, we study how trends such as DevOps and short feedback loops, data and artificial intelligence (AI), as well as the emergence of digital ecosystems, are changing current product management practices. Methods:This study employs a qualitative approach using multi-case study research as the method. For our research, we selected five case companies in the software-intensive systems domain. Through workshop sessions, frequent meetings and interviews, we explore how DevOps and short feedback loops, data and artificial intelligence (AI), and digital ecosystems challenge current PM practices. Results:Our study yielded an in-depth understanding of how digital transformation of the software-intensive systems industry is changing current PM practices. We present empirical results from workshops and from interviews in which case company representatives share their insights on how software, data and AI impact current PM practices. Based on these results, we present a framework organized along two dimensions, i.e. a certainty dimension and an approach dimension. The framework helps structure the approaches product managers can employ to select and prioritize development of new functionality. Contributions:The contribution of this paper is a framework for ’Strategic Digital Product Management’ (SDPM). The framework outlines nine approaches that product managers can employ to maximize the return on investment (RoI) of R&D using new digital technologies.