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This paper aims to present a framework that includes six essential factors and four strategic intervention points that provide the necessary context to sustain and support innovation.

Based on our academic and consulting experience, this article summarizes our knowledge of what it takes to be a top innovator and how organizations should best pursue innovation agendas. The model presented is supported by our research which considers assessments from 3,642 employee responses assessing the innovation cultures of organizations.

We find that companies need to ask six questions to assess their innovation cultures. These questions relate to creativity, incentives, processes, leadership, knowledge management and resources. Our framework presents four intervention points to support implementing and sustaining an innovation culture including objectives, behaviors and actions, context and management for execution.

Our framework is effective, but we acknowledge that there are other means to creating and sustaining an innovation culture.

We present six questions that companies need to ask themselves to assess their innovation culture and offer strategies to enhance it.

Given the contribution of innovation culture to competitiveness and performance, our recommendations will allow managers to set themselves apart from their competition and further their financial and nonfinancial corporate objectives.

Everyone likes the idea of change, but it is the process of change that is difficult. We offer strategies that put such intentions to work.

The purpose of this study is to describe latent classes explaining the innovation logic in the Finnish construction companies. Innovativeness is a driver of competitive performance and vital to the long-term success of any organisation and company.

Using finite mixture structural equation modelling (FMSEM), the authors have classified innovation logic into latent classes. The method analyses and recognises classes for companies that have similar logic in innovation activities based on the collected data.

Through FMSEM analysis, the authors have identified three latent classes that explain the innovation logic in the Finnish construction companies – LC1: the internal innovators; LC2: the non-innovation-oriented introverts; and LC3: the innovation-oriented extroverts. These three latent classes clearly capture the perceptions within the industry as well as the different characteristics and variables.

The presented latent classes explain innovation logic but is limited to analysing Finnish companies. Also, the research is quantitative by nature and does not increase the understanding in the same manner as qualitative research might capture on more specific aspects.

This paper presents starting points for construction industry companies to intensify innovation activities. It may also indicate more fundamental changes for the structure of construction industry organisations, especially by enabling innovation friendly culture.

This study describes innovation logic in Finnish construction companies through three models (LC1–LC3) by using quantitative data analysed with the FMSEM method. The fundamental innovation challenges in the Finnish construction companies are clarified via the identified latent classes.

This book chapter focuses on firstly social innovation and tools used to address the social needs and foster social innovation initiatives. Looking at the world economic forum and how it supports the social innovations, currency swings, low paying jobs growing rapidly, rapid change and growth as a result of high volatility and high returns, respectively. Secondly looking at the emerging market brought about by the social innovations and how they interconnect. Leading innovation emerging market has three main industries semiconductors, fin-tech, and electric cars. It also looks at the significance of technology in the development of business emerging markets, the role of technology in the emerging market and activities over the decades. Small firms in emerging areas face three major challenges which technology might help overcome. The challenges are trust, sustainability, and network. The role of technology replacing analog chip used for power supply, sensors, wideband signal make up the large semiconductors in the United States replaced with digital chip such as logical operations, data storage, computer information management all this have given birth to artificial intelligence, autonomous machines, self-driving cars, supply-chain management, cloud computing, and software-as-a-service (SaaS) applications are all made possible by digital chips. These are also used for e-commerce, mobile payment, fine-tech, 5G telecom, health-care advancement, remote learning, online entertainment, and cloud computing. Technical advancements that has sparked a revolution that would be especially advantageous for emerging market and small-cap enterprises are the causes of these benefits of how it has affected countries such as Europe, the United States, China, and India to mention a few.

The purpose of this study is to measure and analyze the national innovation efficiency of organisation for economic co-operation and development (OECD) countries. This is to determine to what extent OECD countries efficiently use the elements that enable innovation activities possible in generating innovation outputs.

An input–output model was constructed to measure efficiency. The inputs and outputs in the research model are the input and output sub-indices of the Global Innovation Index. Data envelopment analysis was used to measure the national innovation efficiency levels of OECD countries.

The results show that national innovation efficiency is generally high in OECD countries. However, some countries lag behind in innovation efficiency. OECD countries’ ability to create and provide the elements that enable innovation activities is higher than their ability to create innovation outputs. OECD countries have a good innovation environment and a high level of resources, but they should focus on how to create more innovation outputs.

This study presents a measurement of national innovation efficiency of OECD countries which contributes “Innovation Strategy” agenda. The results empirically show that overall innovation indices cannot be the only indicator of the performance of national innovation systems. In this study, an innovation efficiency/performance matrix is constructed to present the relative positions of the countries to help in examining countries’ strengths, weaknesses and potentials based on innovation efficiency and innovation performance simultaneously. This study contributes to the literature by presenting a broader perspective and measurement of national innovation efficiency by taking an extensive number of indicators into account.

The ongoing paradigm shift in the energy sector holds paramount implications for the realization of the sustainable development goals, encompassing critical domains such as resource optimization, environmental stewardship and workforce opportunities. Concurrently, this transformative trajectory within the power sector possesses a dual-edged nature; it may ameliorate certain challenges while accentuating others. In light of the burgeoning research stream on open innovation, this study aims to examine the intricate dynamics of knowledge-based industry-university-research networking, with an overarching objective to elucidate and calibrate the equilibrium of ambidextrous innovation within power systems.

The authors scrutinize the role of different innovation organizations in three innovation models: ambidextrous, exploitative and exploratory, and use a multiobjective decision analysis method-entropy weight TOPSIS. The research was conducted within the sphere of the power industry, and the authors mined data from the widely used PatSnap database.

Results show that the breadth of knowledge search and the strength of an organization’s direct relationships are crucial for ambidextrous innovation, with research institutions having the highest impact. In contrast, for exploitative innovation, depth of knowledge search, the number of R&D patents and the number of innovative products are paramount, with universities playing the most significant role. For exploratory innovation, the depth of knowledge search and the quality of two-mode network relations are vital, with research institutions yielding the best effect. Regional analysis reveals Beijing as the primary hub for ambidextrous and exploratory innovation organizations, while Jiangsu leads for exploitative innovation.

The study offers valuable implications to cope with the dynamic state of ambidextrous innovation performance of the entire power system. In light of the findings, the dynamic state of ambidextrous innovation performance within the power system can be adeptly managed. By emphasizing a balance between exploratory and exploitative strategies, stakeholders are better positioned to respond to evolving challenges and opportunities. Thus, the study offers pivotal guidance to ensure sustained adaptability and growth in the power sector’s innovation landscape.

The primary originality is to extend and refine the theoretical understanding of ambidextrous innovation within power systems. By integrating several theoretical frameworks, including social network theory, knowledge-based theory and resource-based theory, the authors enrich the theoretical landscape of power system ambidextrous innovation. Also, this inclusive examination of two-mode network structures, including the interplay between knowledge and cooperation networks, unveils the intricate interdependencies between these networks and the ambidextrous innovation of power systems. This approach significantly widens the theoretical parameters of innovation network research.

This study aims to conceptualize and investigate the relationships between halal entrepreneurial success, innovation capability and sustainable innovation in the halal industry.

Both integrative and generative approaches are combined to move forward from the literature to a theoretical contribution. The paper presents a model that relates halal entrepreneurial success to innovation capability and sustainable innovation. A purposive sample of 340 Malaysian halal entrepreneurs is used to test the conceptualized model. The partial least square technique was then used to assess the structural model.

The results disclosed that halal entrepreneurial success is positively related to both innovation capability and sustainable innovation. Also, the innovation capability mediates the relationship between halal entrepreneurial success and sustainable innovation.

This research conceptualized and examined a novel model that assesses the relationships between halal entrepreneurial success, innovation capability and sustainable innovation in the halal industry.

The competitiveness of companies and their capacity to join markets have changed as a result of the digital economy. One of the reasons the European Commission will revise the rules governing block exemptions for R&D agreements and begin consulting stakeholders in March 2022 is the impact of digitalisation on markets. This chapter looks into how digitalisation has impacted the competitive analysis and evaluation that Moldovan businesses and the competition authority must conduct when looking at R&D collaborations.

For the purposes of the research in this chapter, we used methods such as analysis, deduction, induction, and synthesis of conceptual approaches to the digitalization of the competitive assessment, to elucidate the factors influencing competitiveness in R&D agreements. We also assessed the situation in the Republic of Moldova to formulate conclusions and own opinions about how the introduction of new processes and products on the market will stimulate competition among national firms and will strengthen their ability to compete in regional or even international markets. The recommendations and proposals for improving the management of competence to encourage businesses to innovate collaborate and exchange knowledge to produce innovative goods and services, including green economy solutions and initiatives with the security to comply with a competition policy adapted to the requirements of the new economy, as well as to the new changes in the European competition policy.

This case is designed to achieve the following learning objectives: recognize the impact of personality traits on leadership style; identify the key elements in a turnaround strategy; examine leadership best practices from a gender perspective; and assess the role of strategic decision-making on company growth.

The case study describes how Lisa Su (Su), the first woman CEO of Advanced Micro Devices, helped turn around the debt-laden semiconductor firm within a decade through her transformational leadership, vision and values. The case first touches upon Su’s early life and education and the influence of her parents in shaping her personality. It then focuses on the first half of Su’s career, during which she was working on semiconductor projects and was involved in research and product development, and how she made the gradual shift to a people management role in her stint of over a decade at IBM followed by a leadership opportunity at Freescale Semiconductor Inc. The case then describes Su’s move to AMD in 2012 as Senior Vice President and General Manager of the company’s global business divisions at a time when AMD was nearly US$2.5bn in debt and revenues had increased only once in the previous five years. There were also rumors of bankruptcy and spin-offs after the company lost more than US$1bn in the year 2012. The cas

This case is meant for MBA students as part of their Organizational Behavior, Leadership, and Strategic Management curriculum.

Teaching notes Student feedback details.

CCS 11: Strategy.

Many organisations attempt to improve their performance through innovation but innovative activities exert an undefined influence on police performance. Furthermore, studies on determining the role of creative leadership and knowledge sharing on the relationship between service innovation and police performance are scarce. Thus, the aforementioned relationship was empirically analysed in this study using creative leadership and knowledge sharing as moderating variables.

In this quantitative cross-sectional study, data were collected from 435 Ajman police employees using an online questionnaire. The hypothesised associations were tested using partial least squares structural equation modelling.

The statistical findings clearly demonstrated that service innovation favourably influenced the Ajman police performance. Creative leadership positively moderated the relationship between service innovation and police performance while knowledge sharing did not.

The results presented a wide range of theoretical and practical implications. Police performance can be improved by promoting service innovation, which can be enhanced by creative leadership.

Empirical research that examined the connection between innovation and police performance is scarce. Additionally, the role of creative leadership and knowledge sharing in this relationship is unknown. Thus, this research aims to close the knowledge gap and provided data to support the hypotheses. This study is unique as these factors are used in police agencies.

Current literature recognised big data as a digital revolution affecting all organisational processes. To obtain a competitive advantage from the use of big data, an efficient integration in a performance measurement system (PMS) is needed, but it is still a “great challenge” in performance measurement research. This paper aims to review the big data and performance measurement studies to identify the publications’ trends and future research opportunities.

The authors reviewed 873 documents on big data and performance carrying out an extensive bibliometric analysis using two main techniques, i.e. performance analysis and science mapping.

Results point to a significant increase in the number of publications on big data and performance, highlighting a shortage of studies on business, management and accounting areas, and on how big data can improve performance measurement. Future research opportunities are identified. They regard the development of further research to explain how performance measurement field can effectively integrate big data into a PMS and describe the main themes related to big data in performance measurement literature.

This paper gives a holistic view of big data and performance measurement research through the inclusion of numerous contributions on different research streams. It also encourages further study for developing concrete tools.