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This paper aims to consider how an organisation can strategically manage its position with regard to suppliers of multiple services and to suggest a strategy for obtaining and protecting optimum multiple contract management and performance.

Literature review of published work along with questionnaires and interviews with a range of people working within the industry from top managerial level to technicians.

Establishes that to innovate is a mindset and not a one‐time event. Innovation management principles should be incorporated as a part of daily schedule for each employee at all levels and is essential for supplier companies to prepare themselves for future that brings extreme competition and increasing customer demands.

Owing to constraint of time, the author has done only limited study in specific areas. The literature reviewed is not exhaustive. Many concepts are mentioned and referenced but not explained fully due to space constraints.

Helps facilities managers to exemplify their knowledge and skill, by apprehending the role of innovation management in facilities management (FM) at operational and strategic levels, and establishes the factors that led to the growth and development of innovation as a field and an important part of the FM world, including relationship with suppliers and multiple contract management.

Determines various factors that would guide innovation in multiple contracts in the future and maintain its role in the ever‐changing business patterns and customer demands and suggests future use of innovative strategies in FM solutions and multiple contract management, thereby enabling more effective FM.

This article seeks to clarify the role of knowledge management in innovation as an aid to addressing this complexity. The article seeks to identify the drivers for application of knowledge management in innovation. It also details the nature of the role of knowledge management in innovation as well as its value proposition.

The methodology used was literature research and some personal experiences and interpretations.

In the fast changing business world of today, innovation has become the mainstay of organizations. The nature of global economic growth has been changed by the speed of innovation, which has been made possible by rapidly evolving technology, shorter product lifecycles and a higher rate of new product development. The complexity of innovation has been increased by growth in the amount of knowledge available to organizations.

Innovation is extremely dependent on the availability of knowledge and therefore the complexity created by the explosion of richness and reach of knowledge has to be recognized and managed to ensure successful innovation.

Many 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.

After 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.

The 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.

This 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.

The 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.

This 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.

This 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.

The main aim of this study was to determine the scope of application for an innovation management assessment framework (IMAF) within innovation management. Two distinct geographical regions: ANZ (Australia and New Zealand) and TMSV (Thailand, Malaysia, Sri Lanka and Vietnam) were chosen to identify and analyse significant comparative differences.

A quantitative research approach was used using empirical data collected through an online questionnaire-based survey. Statistical data analysis, including descriptive statistics, univariate analysis of variance (ANOVA) and Hsu’s MCB (multiple comparisons with/to the best) post-hoc test results, was carried out to identify significant differences and similarities in innovation management capabilities within the two regions.

The descriptive statistics analysis reveals areas for potential enhancement in all the model constructs within both regions under investigation. Significant differences in innovation management capabilities between the two regions are identified, specifically in the design for lean six sigma (DFLSS) and the operation function commercial (COMM). However, when considering the remaining constructs of the IMAF, no significant differences in innovation management capabilities are observed between the regions.

The research is limited by the relatively small size of survey questionnaire responses from the targeted population. Future studies could be conducted on a global scale to increase responses.

The research findings serve as valuable insights into the development of important and useful guidelines for managers and innovation practitioners engaged in innovation planning and management.

The critical analysis conducted in this research, focusing on innovation management capabilities by region, represents a significant advancement in the existing body of work that utilises the IMAF model.

The article analyzes the effects of using management information and knowledge conversion by socialization in process innovation.

A survey was conducted with 133 managers of Brazilian firms that received tax subsidies to develop technological innovation. For data analysis, structural equation modeling was used.

Results show that the use of management information to score keeping and focusing organizational attention triggered higher levels of process innovation. In contrast, improving understanding and improving organizational learning did not show statistical significance, suggesting that these do not have the potential to influence directly process innovation. It was also found that managers’ skill to convert knowledge by socialization precedes process innovation. Furthermore, mediating effect of knowledge conversion by socialization between the use of management information and process innovation was statistically significant only in improving organizational learning.

The finding that the use of management information for score keeping, focusing organizational attention directly and improving organizational learning indirectly reflects in higher levels of innovation can be used as part of the strategy and support organization’s management in process innovation. Furthermore, the organization can emphasize on knowledge conversion by socialization, both explicit and tacit knowledge, to leverage process innovation.

The study addresses recent calls to understand the potential of managers’ skills to convert knowledge through socialization. Evidence shows that, by socializing knowledge, managers expand and disseminate the organization’s tacit knowledge, which can stimulate process innovation. It also adds to the debate about which uses of information managers should emphasize to promote process innovation.

Innovation management in nanotechnology entails the strategic supervision of the entire process of creating and executing novel concepts, technologies and products at the nanoscale. By efficiently overseeing innovation in nanotechnology, organizations can leverage the revolutionary capabilities of nanomaterials and nanodevices to develop state-of-the-art solutions, improve their competitive edge and tackle global issues. Bibliometric studies are scarce related to the field of innovation management and nanotechnology. The purpose of this study is to assess the existing knowledge pertaining to the keywords, innovation management and nanotechnology and identify potential research implications for the future.

This study has been conducted systematically using the revolutionary PRISMA methodology. Research articles (46) were retrieved from Scopus and Web of Science databases using the keywords “Nanotechnology” and “Innovation Management” and 22 articles were systematically selected. VOSviewer software was used to conduct keyword co-occurrence analysis to identify under explored research areas.

By integrating the principles of lean production into innovation management practices in nanotechnologies, organizations can enhance their processes, promote continuous improvement, create value for customers and enhance their ability to innovate effectively in a competitive and dynamic environment. Examining the management of innovation in nanotechnology has revealed the potential to alter the future trajectory of technological advancement worldwide.

This research provides a new perspective on the combination of innovation management and nanotechnology, integrating lean production principles. This study uses a systematic bibliometric analysis to discover underexplored research areas and highlights the potential for transformation.

This paper investigates which innovation capabilities are more important for driving technological and non-technological innovations and which of the two innovation types has the greatest impact on the financial performance of manufacturing companies.

Based on a theoretical model of four innovation capabilities – two technological: Technology Development Capability and Operations Capability, and two non-technological: Management Capability and Transaction Capability – a database of 1,331 Brazilian manufacturing companies was analyzed through partial least squares structural equation modelling (PLS-SEM).

The results indicate that technological capabilities (Technology Development and Operations) have a greater impact on technological innovation. However, both technological capabilities also affect non-technological innovation, with the Technology Development Capability being the most influential in this relationship. Results also indicate that non-technological capabilities (Management and Transaction) have a greater impact on non-technological innovation. Nevertheless, both non-technological capabilities also impact technological innovation, especially the Transaction Capability, which is the most influential in this relationship. Furthermore, it was identified that non-technological innovation has a more significant impact on financial performance than technological innovation, presenting a novel finding to the field of innovation in manufacturing.

This manuscript refutes prior discussions and opens new possibilities for the interconnection of dynamic and ordinary innovation capabilities in two different arrangements, each aimed at improving a specific type of innovation. A theoretical framework is proposed to highlight that, depending on the innovation type focused on, ordinary innovation capabilities can be more relevant than dynamic ones for innovation in the manufacturing sector. From these theoretical advancements, practitioners can understand that investments in non-technological resources, skills and routines can also boost technological innovation, as well as sales, profit and market share growth.

This study relies on the lessons learned from the recent pandemic crisis to propose a conceptual framework for organizational crisis management and illustrate its application in an organization that effectively protected its competitive position during the crisis.

Building upon the resource-based view and the dynamic capability theoretical framework, we first conducted a systematic literature review that involves content and bibliographic analysis. Subsequently, we developed a conceptual crisis management framework and applied it to the case of Hyundai Motor Brazil.

The systematic literature review found innovation and knowledge management as prominent response mechanisms to the pandemic crisis whereas the case provided a better understanding on how these mechanisms contributed to crisis navigation.

Managers will find valuable insights into the importance of linking risk management and crisis management, and leveraging innovation and knowledge to enhance resilience, with straightforward operationalization for benchmark.

This paper is original for relating enterprise risk management, innovation and knowledge management to each phase of existing crisis management processes. It enriches the theoretical and practical debate on the dynamic capabilities’ perspective of risk and crisis management.

In this research, we seek to understand the effects of artificial intelligence (AI) and knowledge management (KM) processes in enhancing proactive green innovation (PGI) within oil and gas organizations. It also aims to investigate the moderator role of trust and sustainability in these relationships.

This paper employs a quantitative analysis. Surveys have been gathered from the middle-line managers of twenty-four oil and gas government organizations to evaluate the perceptions of the managers towards AI, KM processes, trust, sustainability measures and proactive measures toward green innovation. Analytical and statistical tools that were employed in this study, including structural equation modeling with SmartPLSv3.9, have been used to analyze the data and to examine the measurement and structural models of this study.

The study results reveal a significant and positive impact of AI utilization, KM processes and PGI within oil and gas organizations. Furthermore, trust and sustainability turn out to be viable moderators affecting, and influencing the strength and direction of AI, KM and PGI relationships. In particular, higher levels of trust and more substantial sustainability commitments enhance the positive impact of AI and KM on green innovation outcomes.

Understanding the impact of AI, KM, trust and sustainability offers valuable insights for organizational leaders and policymakers seeking to promote proactive green innovation within the oil and gas industry. Thus, organizations can increase the efficiency of sustainable product development, process improvement and environmental management by using robust AI technologies and effective KM systems. Furthermore, fostering trust among stakeholders and embedding sustainability principles into organizational culture can amplify the effectiveness of AI and KM initiatives in driving green innovation outcomes.

This study extends the current knowledge by assessing the effect of AI and KM on proactive green innovation while accounting for trust and sustainability as moderators. Utilizing quantitative methods offers a nuanced understanding of the complex interactions between these variables, thereby advancing theoretical knowledge in the fields of innovation management, sustainability and organizational behavior. Additionally, the identification of specific mechanisms and contextual factors enriches practical insights for organizational practitioners striving for a practical understanding of the dynamics of the complexities of sustainable innovation in an AI-driven era.