Technological Innovation Capability Research Articles

Exploring the Impact of Financial Development on Water–Energy Efficiency in Western China

The western region of China is a fundamental ecological protection barrier for China. The conflict between regional economic development and ecological environmental protection has always existed in the region. This study first evaluated the water–energy efficiency (WEE) of 11 provinces in western China from 2011 to 2019 using the super-slacks-based model with undesirable outputs and analyzed their spatiotemporal characteristics. It then investigated the influence of financial development level on WEE. The results indicate that (a) the WEE in Western China was at a relatively low level, showing an upward trend from 2011 to 2016 and fluctuating after 2016; (b) financial development levels had U-shaped impacts on the WEE of Western China, which reduced at first and then rose; (c) increasing technological innovation capabilities and trade openness had positive impacts on WEE in Western China, while urbanization level had a negative effect on WEE; and (d) an examination of robustness using two different methods showed that the test results are consistent with the above conclusions. Therefore, this study has robustness. We also put forward corresponding policy suggestions, such as increasing financial support for clean and low-carbon industries, increasing input in science and technology, vigorously developing cleaner and environmentally friendly foreign trade, and implementing a new type of urbanization strategy, to promote the WEE of Western China.

Mapping research in the Journal of Innovation & Knowledge to sustainable development goals

This study critically evaluates the contributions of the Journal of Innovation & Knowledge (JIK) toward advancing research aligned with the Sustainable Development Goals (SDGs), employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol for systematic literature review. We meticulously examine JIK’s interdisciplinary research patterns, thematic focuses, and topic evolution, emphasizing the journal’s engagement with SDG 9 (Industry, Innovation, and Infrastructure), SDG 8 (Decent Work and Economic Growth), and SDG 4 (Quality Education). By utilizing advanced techniques such as co-citation mapping and BERTopic modeling, this study identifies six major topics within the JIK, aligning with specific SDGs: “EcoTech Revolution” highlights ‘green technology,’ “Entrepreneurial Innovation” focuses on ‘innovation management,’ “Economy 4.0” centers on ‘digital transformation,’ “Effectual Innovation” involves ‘technological innovation capability,’ “Collaborative Economy” addresses ‘sharing economy sustainability,’ and “Green Innovation” explores ‘eco-innovation.’ These topics underscore JIK’s role in advancing interdisciplinary research across key areas such as technology, entrepreneurship, the digital economy, practical innovation applications, collaborative consumption models, and environmental sustainability. Our findings highlight gaps, particularly in addressing SDG 5 (Gender Equality) and SDG 15 (Life on Land), presenting opportunities for JIK to diversify its research agenda toward a more inclusive sustainability discourse. Contributions from a global array of authors underscore JIK’s international impact and its role in fostering diverse sustainability perspectives.

The Policy of Cross Border E-Commerce Comprehensive Pilot Zone and the Growth of Urban Total Factor Productivity — Empirical Testing Based on Double Difference Method

Since the establishment of the first pilot zone in 2015, China’s cross border e-commerce has rapidly developed, becoming a new engine driving international trade. This paper delves into the impact of China’s cross border e-commerce comprehensive pilot zones on urban total factor productivity. The paper first provides an overview of the development trajectory and current status of cross border e-commerce comprehensive pilot zones and analyzes the potential mechanisms through which these pilot zones might affect urban TFP. Utilizing data from 70 major cities between 2011 and 2019, the study employs a Difference-in-Differences approach to evaluate the impact of the pilot zone policies on urban TFP growth. The results indicate that the establishment of pilot zones significantly enhances urban TFP growth rates, with more pronounced effects in the eastern regions. The regional heterogeneity test reveals that the pilot zones positively influence TFP growth in the eastern and central regions, while the impact on the western and northeastern regions is not significant. Robustness checks further confirm the significance of the policy effects. Based on the findings, the paper proposes policy recommendations, including strengthening policy support, enhancing infrastructure development, reinforcing technological innovation capabilities, and promoting regional coordinated development to fully leverage the role of cross border e-commerce comprehensive pilot zones in boosting urban TFP and driving high-quality economic development. Overall, this paper provides empirical evidence for understanding how cross border e-commerce comprehensive pilot zones enhance urban TFP through technological innovation and policy support, offering important insights for optimizing relevant policies and promoting regional economic development.

Influencing Factors Analysis in Railway Engineering Technological Innovation under Complex and Difficult Areas: A System Dynamics Approach

The geological complexity, environmental sensitivity, and ecological fragility inherent in complex and difficult areas (CDAs) present new opportunities and challenges for technological innovation in railway engineering development in China. At the current stage in China, the process of technological innovation in railway engineering within CDAs still faces a series of pressing issues that need addressing. The paper identifies and determines 22 influencing factors for technological innovation in railway engineering within CDAs across five dimensions. Subsequently, a technological innovation model for railway engineering in such areas is constructed based on system dynamics (SD), which is followed by simulation and sensitivity analysis to identify the key influencing factors. The results indicate that key influencing factors for technological innovation in railway engineering within CDAs include technological innovation capability, the adaptability of technology to the environment, R&D funding investment, technological product requirements, technological innovation incentive mechanisms, and the level of technological development. The importance ranking of each dimension is as follows: technological factors > technical factors > management factors > resource factors > environmental factors. The paper provides new insights for promoting technological innovation and management development in complex and challenging railway engineering projects. It offers a fresh perspective to enhance the technological innovation efficiency of railway projects in complex and challenging areas.

How does environmental regulations affect digital green innovation of high-pollution enterprises? Empirical evidence from China

Digital green innovation (DGI) is crucial for high-pollution enterprises to improve green performance. However, there is a paradox regarding the impact of environmental regulations on DGI, primarily due to the varied effects of diverse regulatory tools. To resolve this paradox, based on Neoclassical Economics and the Porter Hypothesis, we empirically examine the influence of heterogeneous environmental regulations on DGI using a sample of high-pollution enterprises in China. The conclusions indicate that environmental protection tax has a pushing-forward effect on DGI, while environmental protection subsidy has a crowding-out effect. Moreover, enterprises' resource base and technological innovation capability positively moderate the impact of environmental protection tax. External pressure, internal incentives, pandering to governments, and managerial opportunism have mediating effects. Our research offers a new perspective to resolve the paradox of the effect of environmental regulations on DGI, explores potential mechanism as well as boundary condition, and proposes a new way of measuring DGI of enterprises with patents. Accordingly, we offer valuable policy recommendations about the formulation of environmental regulations, the facilitation of DGI, and the advancement of China's ecological civilization.

The nexus of technology orientation and green innovation performance: The potential mediating role of innovation capability

This investigation explores the influence of technology orientation and innovation capability on the green innovation performance among small and medium-sized enterprises (SMEs) in Pakistan, utilizing a quantitative research method. Data were gathered from a variety of demographic databases, and structural equation modeling was employed to examine the impact of these factors on SMEs' business performance. Central to this study is the development of a research model that elucidates the interconnections between technology orientation, innovation capability, and green innovation performance. Through a survey conducted among 298 owners and managers of manufacturing firms, the study leverages Partial Least Squares Structural Equation Modeling (PLS-SEM) for its analysis. Findings indicate that technology orientation and innovation capability significantly contribute to enhancing green innovation performance in SMEs, thereby facilitating a competitive advantage. The investigation underscores the importance of bolstering innovation capabilities to fortify SMEs' competitive positioning.

The Influence of Technological Innovation Capability on Sustainable Supply Chain Management Implementation—Evidence from Patent-Intensive Industries

The technological innovation capability of enterprises has many functions and many influences on the implementation of sustainable supply chain management. The study aims to shed light on how technological innovation capabilities (TICs) affect the implementation of sustainable supply chain management (SSCM) and how they can help organizations overcome internal barriers to SSCM implementation. This descriptive survey was conducted in the context of Iran. The survey was carried out with 27 responses, which were analyzed by one-sample t-test to determine the relationships between variables, and the Friedman test to rank the results. This study employs SPSS for statistical analysis. The study reveals that all TICs have a substantial effect on SSCM implementation in general, especially the learning capability, resource allocation capability, and manufacturing capability, which all have an almost identical positive and significant effect on SSCM implementation. Interestingly, organizing capability had the least influence on SSCM implementation. In addition, the results demonstrating improved TICs could assist firms in overcoming internal barriers to SSCM implementation. From a practical standpoint, the relationship between TICs and SSCM implementation and its barriers may give insight into how organizations can enhance their SSCM implementation by improving TICs. Moreover, policymakers and sustainable supply chain managers in Iran can benefit from the identified relationships in this study. This study is one of the first to analyze the impact of TICs on SSCM implementation, and the findings provide a novel paradigm for understanding how TICs influence the implementation of SSCM.

Complex Network-Based Resilience Assessment of the Integrated Circuit Industry Chain

With the improvement of social production efficiency and the enhancement of the supply chain system, the traditional linear supply chain model is gradually evolving into a more complex and dynamic industrial chain network. This article uses complex network theory combined with the basic attributes of the industrial chain and supply chain to conduct a comprehensive and in-depth analysis of the integrated circuit industry chain. Firstly, a cooperative network model of the integrated circuit industry chain in Shaanxi Province is established based on the supply chain relationships of enterprises. Secondly, the study analyzes the basic characteristics of the collaborative network model. Thirdly, this study explores the efficiency, resilience, and innovation capacity of industrial chains using a novel set of indexes: the industry chain efficiency index (ICEI), the industry chain resilience index (ICRI), and the industry chain innovation capability index (ICICI). By employing principal component analysis (PCA), the study provides a comprehensive evaluation of industrial chain performance. The findings reveal that the ICEI highlights the critical importance of average path length and network density, showing that shorter paths and higher density are associated with greater efficiency. The ICRI emphasizes the roles of average degree and standard deviation, indicating that higher connectivity and lower variability contribute to resilience. The ICICI identifies the clustering coefficient and network density as key factors, suggesting that tight-knit networks foster innovation. These results offer significant insights into the dynamics of industrial chain collaboration and provide practical recommendations for enhancing supply chain management. Finally, the effectiveness of the proposed method is demonstrated through a case study. The results of the case study indicate the following: (1) Key Enterprises’ Identification: The analysis identified key enterprises like Samsung Semiconductor and HT-tech with the highest betweenness centrality, highlighting their crucial intermediary roles within the network; (2) Efficiency and Innovation Assessment: Compared with foreign-owned and other immigrant businesses, local businesses generally perform below average in terms of efficiency and resilience, indicating that there is room for improvement in technology adoption and innovation capabilities.

Investigation of thermodynamic, magnetic, structural and electronic properties of full-Heusler Co2TiZ (Z=Si,Ge,Sn) alloys

Our expedition into the domain of materials science was an immersive journey, where we tapped into the dynamic synergy between density functional theory (DFT) and the FP-LAPW method. Guided by the enigmatic allure of full-Heusler Co2TiZ (Z=Si, Ge, Sn) alloys, our inquiry embarked on a quest marked by extensive analysis and profound discovery. Throughout this meticulous odyssey, we meticulously unraveled the complex tapestry woven by the structural, magnetic, and electronic properties inherent in both cubic CuHg2Ti-type and AlCu2Mn-type structures. Among the myriad revelations unearthed in our expedition, none stood as starkly as the remarkable stability exhibited by the ferromagnetic state, a stark departure from its nonmagnetic counterpart. This stability was further underscored by the presence of integer magnetic moments, serving as a defining characteristic of the ferromagnetic state. As our journey into the heart of materials science progressed, we peeled back layers of complexity to reveal a fascinating dichotomy within the density of states and band structure. Here, we witnessed a symphony of contrasting behaviors: while majority spins embraced semiconductor characteristics, minority spins danced to the metallic tune, painting a vivid portrait of the alloys' intrinsic half-metallic essence. Leveraging the GGA-PBE methodology, our investigation meticulously probed both fundamental and half-metallic gaps, thus unveiling a comprehensive portrait of the materials' electronic landscape. Moreover, our inquiry meticulously preserved a direct band gap at the X → X point, an essential facet imbued with profound implications for the materials' optoelectronic attributes. These insights, far from being confined to the realm of academic curiosity, serve as catalysts for transformative progress in materials design and optimization. By unraveling the intricate interplay between structure and electronic behavior, our findings lay a sturdy foundation for pioneering applications across diverse fields such as spintronics, catalysis, and energy conversion. In summation, our odyssey stands as a beacon guiding the way toward a new epoch of functional materials, poised to transcend the boundaries of technological innovation and unleash unprecedented capabilities across multifarious domains.

The Impact of Digital Trade Barriers on Technological Innovation Efficiency and Sustainable Development

The global digitization trend provides a favorable development environment for the efficient acquisition of knowledge and technology. However, restrictions imposed by countries on digital trade have hindered this trend. This study is based on 60 sample countries to study the impact of the digital trade barrier (DTB) on the technology innovation efficiency (TIE) of each country and the pathways from 2014 to 2020. Research finds that DTB significantly inhibits TIE. Among the five different policy fields that form DTB, Infrastructure and Connecting DTB and Other DTB have the greatest negative impact on TIE. A mechanism analysis found that DTB increases the difficulty of acquiring knowledge spillover and the high cost of research and development, leading to the mismatch and low efficiency of innovation resources, ultimately leading to a reduction in technological innovation efficiency in various countries. Participating in international technological innovation networks and improving technological innovation capabilities have a moderating effect on the aforementioned negative impacts that is beneficial for the sustainable development of national technological innovation. Heterogeneity tests indicate that countries with weaker innovation capabilities, low- and middle-income countries, and countries that have not joined the OECD have a more significant negative impact. This study serves as an important reference for the government to adjust digital trade policies and guide the effective use of external resources for sustainable and efficient technological innovation.

Interactive Digital Platforms and Artificial Intelligence Applications to Develop Technological Innovation Skills among Saudi University Students

In this paper, we investigate the efficacy of an edX-based learning technology and learning environment augmented with artificial intelligence (AI) applications in fostering technological innovation skills among university students. A quasi-experimental design was employed, involving two groups of bachelor’s degree students (n = 57) from the College of Education at King Khalid University. The experimental group (n = 28) utilized the edX platform with integrated AI features, while the control group (n = 29) employed the traditional Blackboard platform. Both groups participated in the “Using Computers in Education” course. A pre-post assessment of technological innovation skills was conducted, and the data were analyzed using an independent sample t-test. Results revealed a statistically significant difference in skill development between the groups, favoring the edX platform with AI integration. These findings suggest that using blended learning environments may have the potential to enhance students’ technological innovation capabilities.

Do smart city policies improve energy efficiency? Evidence from China

To address air pollution and offer a convenient and comfortable living environment, the Chinese government launched a smart city pilot (SCP) project in 2012, accompanied by a comprehensive set of environmental and energy-related laws and regulations. Although academic interest in smart cities has surged, there remains a notable gap in empirical research exploring the economic, environmental, and energy effects of such initiatives. Taking 232 prefecture-level cities from 2003 to 2017 as research subjects, this study measures energy efficiency by using energy consumption per unit of GDP and adopts a difference-in-differences (DID) analysis to investigate the impact of SCPs on energy efficiency. The empirical results indicate that SCPs improved energy efficiency by promoting urban technological innovation capabilities and green total factor productivity, and this effect was more pronounced in cities that were more dependent on traditional fossil fuel energy sources and had more developed fiscal and financial levels. Studying the impact of smart city construction on energy utilization efficiency in developing countries, such as China, is not only significantly enlightening for China’s green and low-carbon transition but also provides reference opinions for constructing smart cities and the path to enhancing energy efficiency in other developing countries. The findings provide valuable insights into the global development of smart cities, urban sustainability, and high-quality economic growth.

Does digital infrastructure construction impact urban carbon emission reduction? Evidence from China's smart city construction.

As the cornerstone of the digital economy, the construction of digital infrastructure plays a crucial role in promoting China's high-quality economic growth.. Against the backdrop of the "dual-carbon" goals, the development of digital infrastructure will provide new momentum for carbon emissions reduction in urban areas. This study utilizes unbalanced panel data from 277 prefecture-level cities in China between 2008 and 2019, treating the smart city construction as a quasi-natural experiment, to systematically evaluate the impact of the pilot construction of smart city on urban carbon emissions intensity. The research findings reveal that the construction of the smart city has significantly contributed to the reduction of urban carbon emissions intensity, indicating that digital infrastructure contributes to urban carbon emission reduction. The reduction of carbon emissions resulting from smart city construction is particularly significant in the East and Central regions., as well as regions with high financial development levels, regions with high human capital levels and non resource-based cities. The construction of the smart city primarily achieves the reduction of urban carbon emissions intensity through two main pathways: improving the penetration rate of digital infrastructure and enhancing technological innovation capability. Therefore, this study recommends that local governments strengthen the integration and penetration of digital infrastructure with traditional industries, foster urban innovation vitality, and accelerate the transformation towards green and low-carbon cities.

A Comparative Study on the International Competitiveness of Digital Trade between China and Malaysia: A Diamond Model Approach

This study examines the international competitiveness of digital trade between China and Malaysia using Michael Porter's Diamond Model. The Diamond Model, which focuses on four key determinants—factor conditions, demand conditions, related and supporting industries, and firm strategy, structure, and rivalry—serves as the analytical framework for this comparative analysis. In assessing factor conditions, the study evaluates the digital infrastructure, human capital, and technological innovation capabilities in both countries. Demand conditions are analyzed through consumer behaviors, market size, and the growth rate of the digital economy. The presence and strength of related and supporting industries, such as e-commerce platforms, fintech, and ICT services, are considered to understand their role in enhancing digital trade competitiveness. The study also examines firm strategies, government policies, and the competitive environment that shape the digital trade landscape in China and Malaysia. Findings suggest that China demonstrates a higher level of competitiveness in digital trade, driven by its advanced digital infrastructure, robust innovation ecosystem, and large, tech-savvy consumer base. Malaysia, while showing significant progress, particularly in regulatory frameworks and digital adoption, faces challenges related to scale and innovation intensity. The study highlights the need for Malaysia to invest in digital skills development and innovation to enhance its competitiveness. The comparative insights derived from this study aim to inform policymakers and business leaders on strategic initiatives to bolster digital trade capabilities and foster sustainable economic growth in the digital era.

The Expansion of Central Bank Collateral and Green Innovation of Enterprises

This article takes the policy event of green bonds being included in the MLF (Medium Term Lending Facility) qualified collateral framework in June 2018 as a quasi natural experiment, and analyzes the impact of the expansion of the collateral framework of the new monetary policy on the credit spread of green bonds and the green innovation output of enterprises issuing green bonds based on a two period and multi period double difference model. The research results indicate that, firstly, the expansion of collateral by the central bank will significantly reduce the credit spread of green bonds and lower the financing costs of enterprises. Secondly, the expansion of collateral by the central bank will promote the improvement of green technology innovation capabilities of green enterprises, and alleviate their financing problems by issuing green bonds and green bonds themselves.

The grey decision model and its application based on generalized greyness of interval grey number

PurposeIn order to solve the decision-making problem that the attributive weight and attributive value are both interval grey numbers, this paper tries to construct a multi-attribute grey decision-making model based on generalized greyness of interval grey number.Design/methodology/approachFirstly, according to the nature of the generalized gresness of interval grey number, the generalized weighted greyness distance between interval grey numbers is given, and the transformation relationship between greyness distance and real number distance is analyzed. Then according to the objective function that the square sum of generalized weighted greyness distances from the decision scheme to the best scheme and the worst scheme is the minimum, a multi-attribute grey decision-making model is constructed, and the simplified form of the model is given. Finally, the grey decision-making model proposed in this paper is applied to the evaluation of technological innovation capability of 6 provinces in China to verify the effectiveness of the model.FindingsThe results show that the grey decision-making model proposed in this paper has a strict mathematical foundation, clear physical meaning, simple calculation and easy programming. The application example shows that the grey decision model in this paper is feasible and effective. The research results not only enrich the grey system theory, but also provide a new way for the decision-making problem that the attributive weights and attributive values are interval grey numbers.Practical implicationsThe decision-making model proposed in this paper does not need to seek the optimal solution of the attributive weight and the attributive value, and can save the decision-making labor and capital investment. The model in this paper is also suitable for the decision-making problem that deals with the coexistence of interval grey numbers and real numbers.Originality/valueThe paper succeeds in realizing the multi-attribute grey decision-making model based on generalized gresness and its simplified forms, which provide a new method for grey decision analysis.

What drives equipment manufacturing enterprises green technology innovation in the Yangtze River Economic Belt? A configuration analysis based on DEA-fsQCA model

Under the dual backdrop of the “dual-carbon” goal and the strategic goal of "Made in China 2025", the equipment manufacturing industry, as the "industrial mother machine", has to undergo a green, low-carbon transformation. Green technology innovation is an essential component of achieving green transformation. Therefore, their green technology innovation efficiency (GTIE) deserves in-depth examination to achieve the "double carbon" goal. The aim of this study is to reveal the possible paths and models for equipment manufacturing enterprises to obtain high GTIE from a configuration perspective. Based on 94 listed equipment manufacturing companies' green technology innovation data in the Yangtze River Economic Belt (YREB) from 2018 to 2021, this paper explores the GTIE and its combination improvement path with a DEA-fsQCA model. The results indicate that: (1) The average efficiency score of the sample was 0.506, only 16 enterprises reached the production frontier, and the overall GTIE in equipment manufacturing industries as a whole showed a "first drop and then a steady upward" trend from 2018 to 2021; (2) The results of heterogeneity analysis revealed that the level of GTIE showed a characteristic of the upstream region > downstream region > midstream region, foreign-invested enterprises > private-owned enterprises> state-owned enterprises, and there is significant industrial heterogeneity, with a GTIE difference of up to 0.478 between the industries with the strongest green technologys innovation ability and those with the weakest. (3) A single conditional variable cannot constitute the necessary condition for high GTIE. There are four combination paths that can produce high GTIE: PCW+ MP-dual driven, PCW+ Fin-dual driven, COCEN-oriented, and COCEN+MP-dual driven. Further analysis shows that there is a substitution effect between the absence of the financing constraint and the existence of market power. This study provides a scientific basis for facilitating the improvement of YREB's equipment manufacturing industry's green technology innovation capabilities.

Digital transformation and enterprise outward foreign direct investment

This research empirically investigates the influence of digital transformation on firms' outward foreign direct investment (OFDI), utilizing data from A-share listed companies in Shanghai and Shenzhen from 2009 to 2022. The results indicate that digital transformation notably enhances OFDI. Robustness tests further confirm the dependability and relevance of the study's findings. This effect is particularly evident in state-owned enterprises, companies operating in fiercely competitive industries, and executives with international backgrounds. Mechanism analysis suggests that digital transformation drives OFDI by reducing overseas operational costs and enhancing technological innovation capabilities.

Phoenix Talent Plan, Digital Economy and Industrial Structure Upgrading: A Difference-in-Differences Estimation

Abstract Based on panel data from cities in Hebei Province from 2009 to 2021, this paper regards the new talent introduction policy in Tangshan, The Phoenix Talent Plan, as a quasi-natural experiment. It establishes an index system for the development efficiency of the digital economy in various cities and constructs a double difference model to empirically examine the impact of The Phoenix Talent plan on industrial structural upgrading in Tangshan and its operating mechanism. The main research conclusions are as follows: (1) The Phoenix Talent plan significantly promotes the upgrading of industrial structure. After a series of robustness tests such as placebo tests, this conclusion still holds. (2) Data envelopment analysis results show that the overall digital economy development efficiency in Hebei Province from 2010 to 2021 is relatively high, with Tangshan's digital economy development efficiency ranking at the forefront within the province. (3) DEA-Malmquist analysis results indicate that the development efficiency of the digital economy in cities plays a significant moderating role between talent policies and the upgrading of industrial structure. Given this, Tangshan should actively attract talents and intellects, enhance technological innovation capabilities, and promote high-quality economic development. Keywords: industrial structure upgrading, Phoenix Talent Plan, digital economy, DID Estimation.

Digital knowledge management effect on enterprise technological innovation: an empirical study from China’s manufacturing industry

ABSTRACT With digital technology permeating across the layers of businesses, digital knowledge management has emerged, transforming the means through which companies acquire, integrate, share, and innovatively apply knowledge. However, the specific impact of digital knowledge management on corporate technological innovation remains unclear. Based on dynamic capabilities theory, this study delves into how digital knowledge management influences corporate technological innovation. Analyzing data from manufacturing companies listed on the Shanghai and Shenzhen stock exchanges from 2007 to 2021, this study confirms that digital knowledge management significantly and positively affects corporate technological innovation by enhancing a company's absorptive capacity, adaptability, and innovation ability. Based on the findings, this study suggests that companies should leverage digital knowledge management to acquire and integrate external innovative resources, seek cooperation opportunities with external stakeholders, and jointly build a mutually beneficial innovation knowledge network, thereby boosting technological innovation capabilities. Additionally, companies should encourage employees to learn digital technologies and create a culture conducive to learning and innovation.