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The integration of the digital economy and the real economy has been a key focus in promoting digital economic development. It denotes a comprehensive digital transformation of national economic activities regarding technological infrastructure and production modes, which is crucial for establishing a modern economic system, advancing industrial infrastructure and modernizing industrial chains.

Firstly, the study delves into the internal logic behind the emergence of the new development dynamic resulting from digital technology's evolution. Secondly, it explores the mechanism of mutual promotion and support between the new development dynamic and the digital economy based on China's shift in focus from international engagement to the domestic economy during different stages of industrialization. Subsequently, it analyzes the characteristics and critical factors of digital economy development and examines the macro-, meso- and micro-level constraints on these factors. Finally, the paper explores approaches to promoting digital economy development while constructing the new development dynamic and provides relevant policy suggestions.

The construction of the new development dynamic and the development of the digital economy are inextricably linked, and only by mutually reinforcing each other can they provide an inexhaustible impetus for China's high-quality economic development.

The new development dynamic and the digital economy development form an indivisible whole. The new development dynamic creates the necessary conditions for digital economy development and promotes the formation of digital production modes. In turn, the development of the digital economy should strive to improve the mainstay position of the domestic economy, enhance the synergy between the domestic economy and international engagement, upgrade value chains while improving the supply and the industrial chains in China and ensure a parallel increase in labor income alongside improved productivity.

This study aims to explore whether the working parents' perception about the necessity of childcare centres for their work efficiency is associated with their anxieties and concerns related to their dual responsibilities, i.e. providing proper parental childcare and maintaining work efficiency.

A sample of 100 employed parents, from the Jashore region of Bangladesh, was surveyed, and descriptive and inferential statistics were used to analyze the data.

It was revealed that there is a strong association between the perceived negative impact on job performance, childcare, child development, work efficiency and perceived need for a childcare centre.

The limitation of this study is that it was confined to Jashore University of Science and Technology. The results may differ from those of the study conducted outside this study area and the methodology used here.

This study has significant practical implications for employers, childcare service providers and policy makers, especially in Bangladesh. The employers will be able to understand the demand for childcare services centres among the employed parents in respective organizations. It will draw attention of employers of knowledge intensive industries and grants commission to the issue of conflict of work and childcare-related responsibilities of employed parents. This will also make employers conscious about the dilemma that is undergone by employed parents motivating them to take actions for minimizing such conflicts to ensure better job performance of working parents.

Based on this study, childcare providers and other policy makers will be able to ascertain the potential size of the childcare market and determine the requirement for investment in childcare-related human resources development. As the work and childcare responsibilities compete for limited time of working parents, either childcare or job performance suffers. This causes concerns, anxieties or remorse, which again hampers the job performance further. Therefore, this study may motivate the university authority around the world, specifically those in Bangladesh, to provide childcare facilities for its faculties, students and other employees.

This study contributes to the literature on growing demand for centre-based childcare services in an emerging economy context. It provides evidence of high demand for on- and off-site childcare centres to enhance work efficiency of working parents.

The purpose of this paper is to explore the internal interaction mechanism of marine scientific research and education, industrial structure upgrading and marine economic growth from a systematic perspective, based on which this work forecasts their future development trends.

In this study, a multivariate grey model is applied to the prediction of marine scientific research and education, industrial structure upgrading and marine economic growth. Considering the impact of the COVID-19 on marine development, this paper introduces the weakening buffer operator into MGM(1,m) and constructs the AWBO-MGM(1,m) model. To verify the validity and accuracy of the new model, this paper uses AWBO-MGM(1,m), MGM(1,m), GM(1,N), GM(1,1), back propagation neural network and linear regression models for simulation and prediction based on the data from 2010 to 2021, respectively.

From the theoretical perspective, the development of marine scientific research and education can accelerate industrial upgrading and promote marine economic growth by providing high-quality talents, promoting marine science and technology progress and reducing transaction costs; while the upgrading of marine industrial structure and marine economic growth can promote the development of marine scientific research and education by guiding social capital, enhancing talent demand and stimulating market vitality. From the empirical analysis, the AWBO-MGM(1,m) model can effectively deal with epidemic shocks and has higher fitting and prediction accuracy than the other five comparative models.

The government should pay attention to the construction of marine scientific research and education, so as to provide high-quality talents and advanced scientific research results for the high-quality development of marine economy. On the basis of using science and technology to firmly build the primary and secondary marine industries, the government should actively guide the labor, capital and other factors of production to the tertiary industry, thereby promoting the optimization and upgrading of marine industrial structure.

On the one hand, the interplay mechanism of marine scientific research and education, industrial structure upgrading and marine economic growth is analyzed from a systematic perspective; on the other hand, the enhanced AWBO-MGM(1,m) possesses higher forecasting performance and is applicable to the systemic multivariate forecasting problem in the presence of outstanding external shocks.

A major part of knowledge management for knowledge-intensive firms such as professional service firms is the increasing focus on thought leadership. Despite being a well-known term, it is poorly defined and analysed in the academic and practitioner literature. The aim of this article is to answer three questions. First, what is thought leadership? Second, what tensions exist when seeking to create thought leadership in knowledge-based organisations? Third, what further research is needed about thought leadership? The authors call for cross-disciplinary and academic–practitioner approaches to understanding the field of thought leadership.

The authors review the academic and practitioner literature on thought leadership to provide a rich oversight of how it is defined and can be understood by separating inputs, creation processes and outcomes. The authors also draw on qualitative data from 12 in-depth interviews with senior leaders of professional service firms.

Through analysing and building on previous understandings of the concept, the authors redefine thought leadership as follows: “Knowledge from a trusted, eminent and authoritative source that is actionable and provides valuable solutions for stakeholders”. The authors find and explore nine tensions that developing thought leadership creates and propose a framework for understanding how to engage with thought leadership at the industry/macro, organisational/meso and individual/micro levels. The authors propose a research agenda based on testing propositions derived from new theories to explain thought leadership, including leadership, reducing risk, signalling quality and managing social networks, as well as examining the suggested ways to resolve different tensions.

To the best of the authors’ knowledge, they are the first to separate out thought leadership from its inputs, creation processes and outcomes. The authors show new organisational paradoxes within thought leadership and show how they can play out at different levels of analysis when implementing a thought leadership strategy. This work on thought leadership is set in a relatively under-explored context for knowledge management researchers, namely, knowledge-intensive professional service firms.

With new hybrid working models in place post COVID-19, it is requisite that knowledge workers (KWs) stay agile. Knowledge-oriented leadership (KOL) can help employees with essential knowledge acquisition (KA) facilitating the journey toward hybrid work agility (HWA). This study, thus, aims to explore the impact of KOL and KA on HWA and reveal whether this effect stems uniformly from a single homogenous population or if there is unobserved heterogeneity leading to identifiable segments of agile KWs.

Data was collected through stratified sampling from 416 employees from 20 information technology enabled services companies involved in knowledge-intensive tasks. Partial least squares (PLS) structural equation modeling approach, using SMART PLS 4.0, has been applied to examine the effect of KOL and KA on HWA. Finite mixture PLS, PLS prediction-oriented segmentation and multigroup analysis have been used to identify segments, test segment-specific path models and analyze the significance of the differences in the path coefficients for unobserved heterogeneity. Predictive relevance of the model has been determined using PLS Predict.

Results indicate that KOL contributes to employees’ KA and HWA. A significant positive relationship is also reported between KA and HWA. The model has medium predictive relevance. A two-segment solution has been delineated, wherein independent agile KWs (who value autonomy and personal agency over leadership for KA) and dependent agile KWs (who depend on leaders for relational and structural support for KA) have been identified. Thus, KOL and KA play a differential role in determining HWA.

The authors’ major contribution to the knowledge body constitutes the determination of antecedents of HWA and a typology of agile KWs. Future researchers may conduct segment-wise qualitative analysis to delineate other variables that contribute to HWA.

Technological advances necessitate that knowledge-intensive industries foster agility in employees for strategic agility of the organization. For effecting agile adaption of an organization to the knowledge economy conditions, it is pertinent that the full potential of this human resource be used. By profiling HWA of KWs on the basis of dimensions of KOL and the level of their KA, organizations will be able to help employees adapt better to rapidly changing work conditions.

HWA is a novel concept and very germane in a hybrid working environment. To the best of the authors’ knowledge, this is the first study to examine the effects of the dimensions of KOL and KA in relation to HWA, along with an empirical examination of unobserved heterogeneity in the aforementioned relationship.

Knowledge-intensive entrepreneurial firms (KIE) strongly rely on scientific and strategic research and development (R&D) capabilities to achieve higher performance levels. Hence, the purpose of this paper is to disentangle the effects of scientific capabilities and strategic R&D on KIE performance; and how the constituent elements of these dimensions can be configured to generate conditions for high performance.

The authors’ empirical setting involves companies that submitted projects to the Innovative Research in Small Businesses (PIPE) program in Brazil. The authors then run partial least square structural equation modeling to verify how scientific and strategic R&D capabilities influence the performance construct. Second, the authors apply fuzzy-set qualitative comparative analysis to identify configurations that are equifinal in terms of generating superior performance.

Findings indicate a strong association between scientific capabilities and KIE performance. The configurational approach outlines the existence of multiple paths to success, but human capital stands as a core condition throughout estimations.

The authors’ assessment has implications for how KIE firms are managed according to their organizational profiles and trajectories. Also, it advances the authors’ comprehension on how entrepreneurship policies can better target these distinct profiles.

The authors’ analysis provides new evidence on the inherent complexity behind the generation of high performance in KIE when addressing their portfolios of knowledge-related capabilities. More than that, the authors were able to identify the existence of heterogeneous profiles that can equally lead to higher levels of performance.

This study aims to elucidate the quantitative and qualitative differences in employment development between German districts. Building on ideas from competitive development and resource-based theory, the paper particularly seeks to explain enduring East-West differences between rural regions by two different forms of competitive advantage: cost leadership and quality differentiation.

This study follows a two-step empirical approach: First, an extended shift-share regression is conducted to analyze employment development in Western and Eastern German districts between 2007 and 2016. Second, the competitive share effect and other individual terms of the shift-share model are further examined in additional regressions using regional economic characteristics as exogenous variables.

The findings suggest that the above-average employment growth of the rural districts in the West is owed to the successful exploitation of experience in manufacturing that has been gathered by firms in the past 100 years or so. While their strategy is largely based on advanced and specialized resources and an innovation-driven differentiation strategy, the relatively weak employment development of Eastern rural districts might be explained by a lack of comparable long-term experiences and the related need to focus on the exploitation of basic and general resources and, accordingly, on the efficiency-based strategy of cost leadership.

This study offers an in-depth empirical analysis of how the competitive share effect, i.e. region-specific resources beyond industry structure, contributes to regional employment development. The analysis reveals that quantitative differences in rural employment development are closely related to qualitatively different levels of input factors and different regimes of competitiveness.

The purpose of this paper is to identify the constituent parts of learning in the manufacturing work context and understand why these parts are key in the learning of the employees.

The data was collected from two sources: a literature review of the Information Systems literature to establish an initial picture of what learning in relation to digital technologies entails and in-depth interviews with engineers in the automotive industry whose knowledge-intensive work is exposed to substantial digital transformation.

The authors first identified three constituent parts for learning: change, reflection and deliberation. When the authors cross-checked the initial findings through in-depth interviews with the engineers, it was found that these three themes trigger learning through three different mechanisms, that is, balancing newness, finding point of reference and organizing actively. Thus, the findings of this paper extend beyond a categorical identification of what constitutes learning to also illustrate why learning entails these constituent parts.

This paper implies that progressive learning requires active organizing of learning stages. The data is limited to the review of the Information Systems field. The authors have also only focused on the automotive industry as the representative sector in the manufacturing industry.

Applying the model of progressive learning can be a primary way to actively plan and organize learning opportunities for employees. This is key for supporting learning culture in organizations that are exposed to continuous and disruptive changes.

A significant part of social sustainability is based on sustainable employability and feelings of contentment at work. This paper is an attempt to highlight how sustainable employability can be achieved by providing effective learning opportunities at work.

The originality of this paper emerges from two sources. First, the authors conducted the literature review and in-depth interviews by devising innovative methods because of the challenges of identifying when (informal) learning has occurred at work. Second, the authors owe the in-depth interviews to the first author’s extensive familiarity with the automotive industry and the knowledge and rapport acquired through her prior longitudinal research on the engineers’ work. It was this background that allowed the authors to find out when these engineers were about to leave the firm because of discontent about their competence development.

The purpose of this study is to identify the practices used by service providers to manage the customer service experience (CSE) across multiple phases of the customer journey in a business-to-business (B2B) setting.

This study comprises an ethnography that investigates in real time, from a dyadic perspective, and the CSE management practices at two service providers operating in knowledge-intensive service industries over a period of eight months. Analytically, the study concentrates on critical events that occurred in phases of the customer journey that in some way alter CSE, thus making it necessary for service providers to act to keep their customers satisfied.

The study uncovers four types of service provider practices that vary based on the mode of organization (ad hoc or regular) and the mode of engagement (reactive or proactive) and based on whether they restore or bolster CSE, including the recurrence of these practices in the customer journey. These practices are conveniently presented in a circumplex typology of CSE management across five phases in the customer journey.

This paper advances the research in CSE management throughout the customer journey in the B2B context by showing that CSE management is dynamic, recurrent and multifaceted in the sense that it requires different modes of organization and engagement, notably during interaction with customers, in different phases of the customer journey.

The circumplex typology acts as a tool for service providers, helping them to redesign their CSE management practices in ongoing service and dialogical processes to keep their customers more engaged and satisfied.

This paper is the first to infuse a dyadic stance into the ongoing discussion of CSE management practices in B2B, in which studies to date have deployed only provider or customer perspectives. In proposing a microlevel view, the study identifies service providers' CSE management practices in multiple customer journey phases, especially when the situation becomes critical.

This paper analyzes how information systems (IS) can serve as tools of neo-colonial control in offshore outsourcing of research and development work. It draws on critical work examining business and knowledge process outsourcing.

The paper reports an empirical study of how laboratory information management systems (LIMS) shape offshore outsourcing practices involving Western client firms and Indian contract research organizations (CROs) in the pharmaceutical industry. The study adopted a multi-actor perspective, involving interviews with representatives of Western clients, Indian CROs, system validation auditors, and software vendors. The analysis was iterative and interpretative, guided by postcolonial sensitivity to themes of power and control.

The study found that LIMS act as tools of neo-colonial control at three levels. As Western clients specify particular brands of LIMS, they create a hierarchy among local CROs and impact the development of the local LIMS industry. At inter-organizational level, LIMS shape relationships by allowing remote, real-time and retrospective surveillance of CROs’ work. At individual level, the ability of LIMS to support micro-modularizing of research leads to routinization of scientific discovery, negatively impacting scientists’ work satisfaction.

By examining multiple actors’ perceptions of IS, this paper looks beyond the rhetoric of system efficiency characteristic of most international business research. As it explores dynamics of power and control surrounding IS, it also questions the proposition that outsourcing of high-end work will move emerging economies upstream in the value chain.