Standing in/out

PurposeMany authors have recognised multiple research gaps at empirical and theoretical levels regarding the interplay between the management of intellectual capital (IC) and the development of innovation capabilities from a strategic approach to technological opportunities, especially in knowledge-intensive business services (KIBS). This paper endeavours to provide answers to some of these research questions by relying on empirical observations in the context of an emergent economy.Design/methodology/approachAfter reviewing the literature through the lenses of the IC and knowledge-based view, the paper operationalises IC as a formative construct and explores its relationships with Technological Orientation, Innovativeness and Innovative Performance. This investigation employs structural equation modelling to analyse data collected through a questionnaire from a sample of KIBS members in a cross-sectional study.FindingsThe research confirms the positive influence of human capital on a company’s Technological Orientation, which in turn impacts Innovative Performance in KIBS. Structural and relational capital positively affect Innovativeness and the latter directly impact performance. All other IC components were found to determine the dependent variables through a mediated effect.Research limitations/implicationsThis research has several limitations. Firstly, it has to be stressed that the significance of the statistical findings is dependent on the sample size, and the results’ explanatory power and effect size cannot be extrapolated to other demographics in different regions or sectors. Secondly, it should be observed that the results of the empirical research can be affected by the respondents’ subjectivity in assessing the items and their perception of reality when providing the answers. Thirdly, this is a cross-sectional study, and results concerning, e.g. the Innovative Performance may be subject to change over a longer period of time, though items in this construct have inquired about results obtained over time. Finally, given the purpose of the research, the outcome may be limited to the research model design. Future research could attempt to replicate the results by investigating other demographics and other regions and by employing a longitudinal study.Practical implicationsThe study highlights the value added by adequate management of all IC elements, as they affect the output of organisational business strategies and processes in an integrated manner. An organisational technological strategy that is based on up-to-date technologies, the embeddedness of technology in the organisational processes and the staff’s continuous technical/digital upskilling are conducive to competitive advantage and business success in KIBS. High competencies and skills that are continuously renewed through training as well as the acquisition of digital competencies, play an influential role in generating innovative capabilities that lead to business performance. Flexible and efficient business processes, the company’s support for informal knowledge sharing between employees and its ability to exploit new knowledge to sustain growth are prerequisites for KIBS’ success. Promoting an organisational culture of trust and collaboration, making the staff feel valued and satisfied and effectively using digital technologies for communication are all significant factors in supporting the development of innovation capabilities.Social implicationsThis research proves that IC management, viewed as an integrated construct comprising human, structural and relational capital management, significantly affects Innovativeness through the development of technology-based innovative capabilities. Furthermore, in a context where KIBS (and other companies) nowadays compete in a digital environment, technology and technical knowledge are paramount for a company’s success. The study validates in an aggregated model the role played in innovation by the management of knowledge and technical knowledge embodied in the employees’ competencies and know-how, the management of tacit and explicit knowledge developed by the structural capital and the management of stakeholder knowledge accumulated by the relational capital.Originality/valueThis research takes a fresh and comprehensive perspective to investigate how IC management can impact Innovativeness and Innovative Performance in KIBS by focusing on the nexus with the organisations’ Technological Orientation. The paper makes an original contribution to research concerning IC, KIBS, technology and innovation based on empirical evidence and a new approach to assessing IC as an aggregate rather than by looking at individual components.

In the digital economy context, enterprises’ competitive environment is changing rapidly. Historically, enterprises rely on a solitary fight to occupy the market. Now, enterprises should actively embed into digital technology innovation networks to maximize access to external digital technology knowledge resources through organizational cooperation and achieve the absorption of digital resources and technologies. However, the relationship between digital technology innovation network embedding and innovation performance still needs to be clarified. Therefore, this study adopts the “structure–behavior–performance” research paradigm to extend innovation network research to the digital technology innovation network context, aiming to explore the impact of digital technology innovation network embedding on enterprise innovation performance and to analyze the mediating effect of knowledge acquisition and the moderating effect of digital transformation. This study conducts an empirical study based on Chinese A-share listed firms that undertook digital technology innovation from 2010–2021. The findings show that digital technology innovation networks’ relational and structural embedding positively affects firm innovation performance. Knowledge acquisition mediates digital technology innovation network embedding and innovation performance. Digital transformation has a moderating role between digital technology innovation network embedding and innovation performance, and different levels of digital transformation will have different effects on firms’ innovation performance. Overall, the relational and structural embedding of digital technology innovation networks can encourage enterprises to acquire more social capital and tacit knowledge and reduce R&D costs, thus improving their innovation performance. Firms should focus on building external cooperation networks, actively establishing an excellent corporate image, strengthening communication and cooperation with network members, establishing mutually beneficial cooperation beliefs, and promoting digital transformation. The present results will help companies understand the impact of digital technology innovation networks and provide a reference for companies to utilize in digital transformation to improve their innovation performance.

Purpose This study aims to explore how the application of digital technology and information technology can help firms improve their innovation performance and examines the mediating mechanisms of supply chain agility and supply chain integration. Design/methodology/approach This study conducted a questionnaire survey of 320 business managers in an automotive cluster in China and analyzed the collected data using structural equations. Findings Digital technology applications (DTA) have a positive impact on innovation performance, while supply chain agility and integration mediate this impact. In addition, information technology applications (ITA) also has a positive impact on innovation performance, while supply chain agility and integration mediate between the two. Supply chain agility (SCA) and supply chain integration (SCI) significantly enhance the positive impact of technology adoption on firms' innovation performance. Originality/value This study confirms the impact of digital technology and information technology applications on innovation performance and explores the mediating role played by supply chain agility and integration.

With the advancement of media technology, the evolution and development of music media have become more prominent; a single listening tool has evolved into an online interactive community. As media platforms adapted, this online comment section evolved into an entire online music communication community where users could interact online in other ways besides the comment section. So, this paper mainly focuses on the QQ music platform as the primary research object, analysing the interactive behaviour of users in the online music community, and obtaining the effects of different interactive modes on users self-expression. The study utilised discourse analysis and data analysis to analyse users self-presentations in online community interactions and to understand their behaviour in different modules. According to research, online social interactions and community development have a significant impact on listeners behaviors. They can guide the development of creative design strategies for digital media, such as music, movies, and video games. It also showed that commenting interactions and fan group interactions in online music communities are the most emotionally engaging modules for users, and that users in the comment section are better at sharing themselves and interacting with each other.

Do digital technologies pay off? A meta-analytic review of the digital technologies/firm performance nexus

The adoption of digital technologies (DTs) in the workplace has emerged as a core driver of organizational effectiveness, and many studies have explored the intrinsic connection between the two. However, due to the wide range of subdivisions of employee performance, existing studies present inconsistent research conclusions on the implementation effects of DTs and lack a systematic review of their impact on employee psychology and behavior for large sample data. To address this issue, employing a random-effects model and a psychometric meta-analysis approach based on subgroup and meta-regression analyses, this study examines 106 empirical studies, comprising 119 effect sizes. The findings reveal that DTs exhibit a “double-edged sword” effect. On the bright side, DTs significantly enhance task performance, innovation performance, employee engagement, job satisfaction, and job efficacy. On the dark side, DTs aggravate service sabotage, withdrawal behavior, job burnout, and work anxiety and have a suppressive effect on job well-being, while their influence on turnover intention is non-significant. Furthermore, this study identifies the moderating effects of industry characteristics, technology usage types, and demographic factors on the relationships between DTs and behavioral and psychological outcomes. The research conclusions help clarify the logical relationship between DTs and employee psychology and behavior and provide explanations for the differentiated research conclusions of previous studies. This study provides information for scientific management decisions regarding DTs in the workplace.

Objective: This research aims to examine the influence of company resources on digital innovation and business performance, as well as the influence of digital innovation on business performance, both directly and as mediation, among members of the Telkom Indonesia MSME Digital Market (PaDi). Theoretical Framework: This research is based on the interconnectedness of company resources, digital innovation, and business performance in the MSME sector. Method: This research is quantitative research through surveys of companies that are members of the Telkom Indonesia UMKM Digital Market (PaDi). The total sample was 400 respondents taken using stratified random sampling technique. The questionnaire is prepared with a rating scale from 1 to 5 points. Data processing and analysis used structural equation modeling with Lisrel 8.5 software. Results and Discussion: The results of this research also provide managerial implications, especially for MSME players who are members of the Telkom Indonesia Digital Market (PaDi) to prioritize the development of digital innovation through continuous learning of user behavior that appears in the market, which needs to be supported by learning about developments in digital technology, as well as supported by an effective coordination mechanism. In developing digital innovation, companies need to prioritize ownershipinformation resources in accordance with market and technology developments, followed bythe ability to build organizational business relationships/networks and HR capabilities to innovate. Research Implications: The results of this research provide theoretical implications in the form of developing knowledge regarding the interconnectedness of company resources, digital innovation, and business performance in the MSME sector. Originality/Value: This study contributes to the literature by highlighting the critical role of company resources in driving digital innovation and improving business performance in MSMEs. The relevance and value of this research are evidenced by its potential impact on guiding MSME players towards effective digital innovation strategies for business success.

Against the backdrop of the rapidly evolving digital economy, how technology-based small and medium-sized enterprises (SMEs) can effectively configure their digital strategies to enhance innovation performance has become a central concern for both academia and practice. Drawing on Structure-Conduct-Performance (SCP) theory and dynamic capability theory, this paper constructs an analytical framework of “digital orientation–dynamic capabilities–innovation performance” to explore the mediating mechanism through which digital orientation influences innovation performance via dynamic capabilities. Digital orientation is divided into two dimensions: digital business orientation and digital technology orientation. Dynamic capabilities are conceptualized as resource integration capability and organizational reconfiguration capability. Based on 325 survey responses collected from Chinese technology-based SMEs, this study conducts empirical analysis using structural equation modeling (SEM). The findings reveal that (1) digital orientation has a significant positive impact on innovation performance and (2) both resource integration and organizational reconfiguration capabilities mediate the relationship between digital orientation and innovation performance. This study enriches the theoretical foundation of digital strategy and innovation research and sheds light on the internal mechanisms through which technology-based SMEs enhance innovation performance during digital transformation, offering important theoretical and practical implications.

March 01 2007 Image, Engagement, Technological Resource: An Interview with Roger Reynolds David Bithell David Bithell Search for other works by this author on: This Site Google Scholar Author and Article Information David Bithell Online Issn: 1531-5169 Print Issn: 0148-9267 © 2007 Massachusetts Institute of Technology2007 Computer Music Journal (2007) 31 (1): 10–28. https://doi.org/10.1162/comj.2007.31.1.10 Cite Icon Cite Permissions Share Icon Share MailTo Twitter LinkedIn Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation David Bithell; Image, Engagement, Technological Resource: An Interview with Roger Reynolds. Computer Music Journal 2007; 31 (1): 10–28. doi: https://doi.org/10.1162/comj.2007.31.1.10 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsComputer Music Journal Search Advanced Search This content is only available as a PDF. © 2007 Massachusetts Institute of Technology2007 Article PDF first page preview Close Modal You do not currently have access to this content.

Today, innovation performance is an important determinant of competition power and national progress. In the beginning of major innovation, new firms are created to benefit from new digital technologies, and investment and employment in the related industries is increasing. Venture capital (VC) plays an important role in financing venture businesses in the high digital technology sector. The VC market is now accessible at any point in history for ventures. Partly due to the rise of digital entrepreneur incubators, risk capitalists have spread throughout the spectrum. The new digital technology creates an almost constant balloon known as “tech bubble” or “dot com bubble,” which caused economic turmoil in the American stock market in the late '90s. Venture capital companies will be informed about market activity, price bubble history, risk capital, and price bubbles that can have a major impact on their business.

Learning has established itself as a fundamental pillar for the adaptation and continuous growth of organisations. This article analyses the impact of organisational learning on innovation and institutional performance in universities, focusing on five interdependent dimensions: organisational culture, knowledge management, organisational memory, continuous feedback, and dynamic capabilities. Through a narrative review of the specialised literature, a systemic framework is proposed that conceives organisational learning as an integral and strategic process, where each dimension contributes in key ways to institutional strengthening. Organisational culture fosters shared values and readiness for change; knowledge management enables the generation and application of relevant knowledge; organisational memory guarantees the continuity and transfer of learning; constant feedback facilitates adaptation; and dynamic capabilities prepare the university to face complex and changing contexts. As a practical contribution, an operational agenda is designed that links each dimension with a strategic action, a follow-up indicator, a suggested institutional tool, and theoretical references. This proposal seeks to offer an adaptable roadmap for management teams, quality assurance units, and university management training spaces.

With the growth of the World Wide Web, a large amount of music data is available on the Internet. In addition to searching expected music objects for users, it becomes necessary to develop a recommendation service. In this paper, we design the Music Recommendation System (MRS) to provide a personalized service of music recommendation. The music objects of MIDI format are first analyzed. For each polyphonic music object, the representative track is first determined, and then six features are extracted from this track. According to the features, the music objects are properly grouped. For users, the access histories are analyzed to derive user interests. The content-based, collaborative and statistics-based recommendation methods are proposed, which are based on the favorite degrees of the users to the music groups. A series of experiments are carried out to show that our approach is feasible.

The topic addressed in this article aims to analyze, through a systematic literature review, the influence of learning environments on the development of innovation capacities in educational institutions. Among the main findings from the systematic review using the RAMESES model used to evaluate the quality of literature reviews, the Scopus and Web of Science databases were used during the period 2020-2025. The results identified that flexible spaces promote self-regulation, autonomy, and student well-being through active and collaborative methodologies. They demonstrated improvements in motivation, inclusion, and comfort, but also challenges such as noise and distraction. They concluded that the physical environment significantly impacts learning when integrated with student-centered pedagogies. Furthermore, innovation incentives do not show any direct effect on innovation performance, suggesting that their effect is mediated through innovation capacity. However, the analyses conducted on the literature reviewed did not show that learning environments were explicitly considered a moderating variable. Furthermore, an empirically tested model shows the adoption of new teaching strategies through innovation capabilities, namely, agility, perception, configuration, exploitation, and reconfiguration of opportunities and threats. At the same time, the effective management of innovation processes in higher education is crucial for the sustainable development of educational programs that respond to global knowledge markets, especially in changing contexts.

The digital connectivity view (DCV) represents a distinct strategic framework for understanding how firms leverage interconnected digital technologies to create sustainable competitive advantages in global markets. While digital connectivity promises enhanced innovation performance, organizations face significant challenges in effectively leveraging these capabilities, with outcomes remaining highly uneven across industries. This study examines how different configurations of digital connectivity elements and organizational capabilities drive innovation performance in manufacturing firms through an integrated theoretical framework combining dynamic capabilities theory and DCV. Using fuzzy-set qualitative comparative analysis of 63 Chinese high-tech manufacturing firms, the research identifies multiple distinct pathways to high innovation performance. The findings reveal four key mechanisms that explain how firms effectively leverage digital connectivity, with digital-architecture resources playing a central role. Different capability configurations produce varying levels of radical and incremental innovation outcomes. The research advances innovation management literature by empirically validating configurational patterns, developing a novel theoretical framework bridging DCV with dynamic capabilities theory, and providing practical insights for manufacturing firms in emerging economies navigating global crises while maintaining innovation vitality.

Small- and medium-sized enterprises (SMEs) increasingly rely on digital technologies to sustain innovation, yet limited empirical evidence explains how business intelligence capabilities translate into superior innovation outcomes, particularly in emerging economy contexts. Addressing this gap, this study examines the direct and indirect effects of business intelligence capabilities on innovation performance by unpacking the mediating role of knowledge management capability and the moderating role of data-driven decision making within an integrated Resource-Based View and Knowledge-Based View framework. Conceptually, the study advances prior research by clarifying the complementary roles of these theoretical perspectives: the Resource-Based View explains what strategic digital resources firms possess, the Knowledge-Based View explains how these resources are transformed into organizational knowledge through knowledge management capability, and data-driven decision making explains when these capabilities are effectively converted into innovation outcomes. Data were collected through a survey of 316 owners and senior managers of small- and medium-sized hotels operating in Amman, Jordan, and analyzed using partial least squares structural equation modeling (PLS-SEM) as the primary analytical technique. The results indicate that business intelligence capabilities exert a significant positive effect on innovation performance, with this relationship largely transmitted through knowledge management capability, demonstrating that the value of business intelligence lies in its integration into organizational knowledge processes rather than in data availability alone. Moreover, data-driven decision making strengthens the relationship between business intelligence capabilities and innovation performance, functioning as an execution-level capability that enhances the conversion of digital and knowledge-based resources into innovation outcomes. To further validate the robustness of the findings, a post-hoc moderated mediation analysis using Hayes’ PROCESS macro version 4.2 was conducted as a confirmatory analysis. By conceptualizing business intelligence, knowledge management, and data-driven decision making as an interconnected socio-technical capability system, this study advances digital innovation theory and offers actionable insights for SME managers seeking to orchestrate capabilities for innovation under resource constraints.