Speed Of Innovation Research Articles

The performance and innovation speed of utility applications in China

Application or 'app' innovation is an important form of innovation in the digital economy. App innovation in China is based on the users and markets. Using 474 utility apps from 217 Chinese companies, we examine the determinants of app innovation. We capture how data are valued in the digital era and find that multilevel factors influence app innovation performance. Specifically, first-mover advantage, firms' experiences in app development and local institutions influence the survival of apps and the quality of app innovation. First-mover advantage, software developing experiences and venture capitalist status influence the product innovation process at the earlier stage of the app life cycle. Whether the company goes public and the marketisation level influence the data-based innovation at the later stage of the app life cycle.

The performance and innovation speed of utility applications in China

The performance and innovation speed of utility applications in China

Frugal Solutions with Innovation Speed to Combat Covid-19

Frugal Solutions with Innovation Speed to Combat Covid-19

Role of diversity management and charismatic leadership on innovation and performance in the globalized era

Objective of the Study: The purpose of this study was to analyze the relationships between the variables of diversity management, charismatic leadership, innovation speed, innovation performance, and company performance.Methodology/Approach: A survey study was conducted with 427 employees (both technicians and engineers) working at companies that operated in the manufacturing industry in the scope of the research purpose. SPSS 25 and SPSS AMOS programs were used incrementally, and the acquired data were evaluated and analyzed.Originality/Relevance: In this research, white-collar workers constituted our sampling group because they play a key role in product innovation. While gathering the analysis data, the first 500 companies registered in Istanbul Chamber of Industry were determined, and manufacturing companies operating in Istanbul constituted the main part of the study.Main Results: As a result of the analysis, it is understood that diversity management and charismatic leadership have a positive influence on innovation and performance.Theoretical/Methodological Contribution: In terms of innovation and company performance, the study revealed the mediation effect of charismatic leadership linked to diversity management.Social/management contributions: In order for organizations to carry out creative and innovative activities, it is very important to effectively manage different ideas and thoughts within organizations. In fact, charismatic leadership positively affects employees, helping them to perform better. Therefore, employees must be actively involved in order to successfully carry out innovation.

Knowledge management orientation and operational performance relationship in medical tourism (overview of the model performance in the COVID-19 pandemic and post-pandemic era).

Despite the considerable growth of interest in medical tourism in the last decade, there is no standard procedure to measure the pivotal factors in medical tourism destinations. Medical tourism is a rising global phenomenon that is strongly dependent on innovation and knowledge management. Being both innovative and systematic in medical tourism requires thought enrichment in knowledge management in hospitals. By applying a quantitative method, "knowledge management-oriented innovation" items have been used in this study to analyze new products or services related to active hospitals in medical tourism in Iran. This study presents the positive effects of the most essential knowledge management areas such as time, cost, and quality management orientation, on operational performance through the mediating role of innovation speed. In the current study, hospitals of Iran that are active in the medical tourism area have been considered as the final destination. Additionaly, because this study coincides with the coronavirus COVID-19 pandemic as the global health crisis which has a considerable effect on medical tourism, the managerial implications have been developed to help managers and decision-makers in order to apply the obtained findings during the pandemic and post-pandemic period.

Managing environmental turbulence through innovation speed and operational flexibility in B2B service organizations

PurposeThe research first and uniquely explores the antecedent relationship among three highly studied environmental forces – competitive intensity (CI), market turbulence (MT) and technological turbulence (TT) – in a service context. Next, given the importance of services to the USA and global gross domestic product (GDP) and the unique characteristics of services versus product firms, the research examines the impact of environmental forces on innovation speed capability, a less studied but critical enabler of service innovation. Finally, this study aims to suggest the importance of the sequential relationship between two dynamic capabilities – innovation speed and operational flexibility – to realize advantage.Design/methodology/approachThis study surveyed 264 US service firms in a business to business context and tested this research model using structural equation modeling.FindingsThe results yielded three major conclusions: in a service context when examining the relationship among the three environmental forces, CI appears to have the driving influence on MT and TT, MT, however, was the only environmental force that this study found to bare positive and significant direct influence on innovation speed. Looking at the zero-order effect of MT and TT on innovation speed this study found each to be positive and significant suggesting a negative suppression effect and innovation speed’s influence on performance relative to competitors is fully mediated by operational flexibility.Originality/valueThe paper contributes to context, as service firms represent the majority of the USA and global GDP. This study extends the literature on the highly studied environmental forces (MT, TT and CI) by examining how they influence each other in an antecedent role and in service context. This study extends service literature by going beyond the influence of environmental forces on innovation to examine the dynamic capability of innovation speed, suggested as uniquely important to service context and distinct from the more highly studied innovation construct. The study also extends prior research in the manufacturing (product) context that suggests the importance of sequential congruence between two critical dynamic capabilities – innovation speed and operational flexibility – necessary to deliver competitive advantage.

The pace of artificial intelligence innovations: Speed, talent, and trial-and-error

• Investigating the pace of AI innovations has thus become increasingly relevant. Yet, few studies have managed to measure or depict this increasing velocity of innovations in AI. • A research framework and three measures, i.e., Average Time Interval (ATI), Innovation Speed (IS), and Update Speed (US), are proposed, to explore the pace of AI from the perspective of AI papers, AI players, and trial and error. The fine-grained analysis of the AI field enabled to portrait the pace of AI innovation and demonstrated that the proposed approach can be adopted to understand other fast-growing fields. • In 2019, more than 3 AI preprints were submitted to arXiv per hour, over 148 times faster than in 1994. Furthermore, there was one deep learning–related preprint submitted to arXiv every 0.87 hours in 2019, over 1,064 times faster than in 1994. • 5.26 new researchers entered into the field of AI each hour in 2019, more than 175 times faster than in the 1990s. • An updated version of the AI preprint was submitted to arXiv every 41 days, with around 33% of arXiv’s AI preprints being updated twice or more in 2019. It took about 0.2 year on average for AI preprints to get their first citations from 2014–2019, around 5 times faster than from 2000–2007. Innovations in artificial intelligence (AI) are occurring at speeds faster than ever witnessed before. However, few studies have managed to measure or depict this increasing velocity of innovations in the field of AI. In this paper, we combine data on AI from arXiv and Semantic Scholar to explore the pace of AI innovations from three perspectives: AI publications, AI players, and AI updates (trial and error). A research framework and three novel indicators, Average Time Interval (ATI), Innovation Speed (IS) and Update Speed (US), are proposed to measure the pace of innovations in the field of AI. The results show that: (1) in 2019, more than 3 AI preprints were submitted to arXiv per hour, over 148 times faster than in 1994. Furthermore, there was one deep learning–related preprint submitted to arXiv every 0.87 h in 2019, over 1064 times faster than in 1994. (2) For AI players, 5.26 new researchers entered into the field of AI each hour in 2019, more than 175 times faster than in the 1990s. (3) As for AI updates (trial and error), one updated AI preprint was submitted to arXiv every 41 days, with around 33 % of AI preprints having been updated at least twice in 2019. In addition, as reported in 2019, it took, on average, only around 0.2 year for AI preprints to receive their first citations, which is 5 times faster than 2000–2007. This swift pace in AI illustrates the increase in popularity of AI innovation. The systematic and fine-grained analysis of the AI field enabled to portrait the pace of AI innovation and demonstrated that the proposed approach can be adopted to understand other fast-growing fields such as cancer research and nano science.

Antecedents and outcomes of the knowledge management process (KMP) in Malaysian SMEs

The purpose of this research was to identify and validate the antecedents and outcomes of the Knowledge Management Process (KMP) in the context of Malaysian SMEs. The antecedents (knowledge management (KM) enablers) in this study were internal collaboration, trust, small and medium enterprise (SME) network, transformational leadership, and information technology (IT) support. The outcomes were innovation speed and organizational performance. Data was collected from 242 SMEs through online surveys and personal visits and analyzed using partial least squares structural equation modeling (PLS-SEM).The salient findings were: (1) among the KM enablers, internal collaboration and IT support significantly influence the KMP; and (2) innovation speed mediates the relationship between the KMP and organizational performance. This study contributes to the literature by: (1) providing a comprehensive framework that links KM enablers, KMP, and performance for SMEs; and (2) establishing innovation speed as a mediator between the KMP and performance.

Steering firm performance through innovative capabilities: A contingency approach to innovation management

Today's business environment is filled with fierce competition, rapid technological changes and market uncertainty. For survival, organizations have no option but to embrace innovation both in their processes and product. Performance of innovative capabilities depends on the speed and quality of new product and processes. Contingent resource-based view is used in this study to understand the effect of innovative capabilities on various functional performances. Data was gathered from 115 senior-level managers working in engineering or marketing department of manufacturing firms. PLS-SEM is used for outer and inner measurement model validation. Results of this study reveal that process innovation and product innovation complements each other for improving innovation speed and quality. Moreover, in the case innovative products, manufacturing performance is a key to enhance marketing performance and firm competitive capabilities. This research provides various new insights for the research and development concerns and marketer for developing a successful case of introducing a new product in the market.

Formulasi Kebijakan Roadmap Inovasi Daerah di Kabupaten Bekasi

Bekasi Regency is the area with the largest industrial area in Southeast Asia, where there are 16 industrial areas with relatively large land area. In addition, there are also seven large industrial zones or industrial zones on an international scale, in line with this, the problem of public service delivery in the Bekasi District Government must be carried out properly to the public. In optimizing the public services, various innovative ideas and ideas are needed to create synergy and efficiency in the provision of these public services. In this study, the innovation system is a unified component that influences the direction of development and speed of innovation, diffusion, and learning processes in the development, mastery, advancement and application/utilization of science and technology. How sub-subsystems (elements / factors) play their roles, their interrelations (including policy coherence), and the dynamics of their interactions determine or influence the dynamic performance of innovation systems. Strengthening the innovation system means structuring the system (holistic, simultaneous, systemic issues) in a structured way. In a policy perspective, strengthening innovation systems means remedial steps that need to be directed to address systemic failures. Therefore, policy strategies need to be developed as a unified innovation policy framework (KKI) to strengthen the system.

Maladaptive Planning and the Pro-Innovation Bias: Considering the Case of Automated Vehicles

This article argues that a more critical approach to innovation policy within planning is needed and offers recommendations for achieving this. These recommendations entail rethinking the values, focus, speed, and legitimacy of innovations. It takes a critical perspective on how contemporary societies treat rapid innovation as having necessarily positive results in the achievement of objectives such as sustainability and justice. This critical perspective is needed because innovation can both contribute to and drive a form of maladaptive planning: a collective approach to reality that imposes constant and rapid changes to societal configurations due to an obsession with the new and with too little rapport with the problems in place or that it creates. A maladaptive direction for transport planning is used as a sectorial illustration of the broader conceptual ideas presented: for both sustainability and social justice reasons, it would be desirable to see peak car occurring. However, the car industry is presenting driving automation as an innovation with the potential to restore the vitality of the private vehicles market while creating effective means to dismiss alternatives to car dominance.

A Multifaceted Perspective of Pharmaceutical Innovation: A Consideration of the Regulatory Role.

The pace of innovation, the creative engine of the pharmaceutical industry, has been variably described as stagnant, stable, or accelerating depending on the metric used for assessment or the quality of evidence. If the predominant perception holds that the speed of innovation is sluggish, pressure for changes in the regulatory environment intensifies. A systematic evaluation of the course of innovation in this industry was performed by applying a formula derived from economic market share theory to estimate the innovative contribution of each new molecular entity approved since 1938. The total and average innovation scores per year are described based on the therapeutic class, mechanism, and drug target. These data are compared to the number and percent of first-in-class drugs per year. The average annual score based on therapeutic class novelty has been declining; however, the therapeutic class total innovation score has been stable since the mid-1970s with occasional significant peaks of activity. While the average score based on mechanism or target experienced a decline beginning in the 1950s and 1960s, it has begun to rise since the early 1990s. Notably, the total innovation score has steadily increased since the 1970s. These variations closely parallel the number of first-in-class drugs approved on an annual basis. While the reasons underlying these activities are likely complex, there is a temporal association between regulatory efforts to expedite drug development and approval. These findings should be considered when considering future incentivizing regulations and policies.

Innovation speed under uncertainty and competition

Innovation speed is widely considered to be a key factor for a firm's ability to maintain competitive advantage. Primarily, empirical evidence has found contradictory interdependencies regarding the role of innovation speed. The prevailing proposition of “the faster the better” has been challenged by results of empirical studies heavily depending on the methodological setup used. In contrast, we propose a model of the complete innovation process to study innovation speed under uncertainty and competition. We find that higher market uncertainty speeds up innovation and encourages firms to innovate incrementally. Strong competition tends to reduce innovation speed and encourages rather radical innovation.

A Design Communication Framework Based on Structured Knowledge Representation

The global manufacturing industry is entering an era of considerable growth and innovation due to radical developments in advanced technologies. Knowledge remains crucial in improving product design, decision making, productivity, and increasing the speed of innovation. Communication is at the heart of knowledge exchange between stakeholders, especially those with different technical and social backgrounds. However, significant barriers exist when sharing product design knowledge due to the lack of available formalized tools and methods. In this article, to facilitate knowledge exchange and collaboration among stakeholders during product design, a method to systematically improve the understanding of target objects, including the composition of the object, nature of the object, and tools to support its related communication, is proposed. Further, a knowledge representation framework is described which enables parties to clearly understand the characteristics of the object and greatly improve communication efficiency. A case study is presented to validate how the proposed framework provides valuable insights into the improvement of design communication and contributes to global manufacturing development.

THE ROLE OF LEADERSHIP BEHAVIOUR OF PROJECT MANAGER IN MANAGING THE FUZZY FRONT END IN THE DEVELOPMENT OF RADICAL AND INCREMENTAL INNOVATION

Existing theories of organisational behaviour have addressed the relationship between the role of leadership behaviour of project manager and outcomes of subordinates in developing new products (e.g., improving innovation speed and new product performance). However, only a small number of researchers have investigated the impact of leadership behaviour on the fuzzy front end. Specifically, the role of leadership behaviour in reducing uncertainty in the fuzzy front end for each innovation type has been largely overlooked. Apart from employing the path-goal theory and using survey research, this research collects data from the food & beverage, pharmaceutical, and biotechnology industries in Thailand ([Formula: see text]) and analyses the data with structural equation modeling. Our results can contribute how the leadership behaviour of project manager impacts on development of each type of product innovation. The findings reveal that the directive path-goal behaviour of project managers helps to reduce uncertainty in the fuzzy front end during incremental innovation development. In contrast, achievement-oriented behaviour of project managers helps to reduce uncertainty in the fuzzy front end during radical innovation development. Additionally, reducing uncertainty in the fuzzy front end can enhance the new product performance of these two types of innovation.

Does knowledge management enhance or impede innovation speed?

PurposeThe purpose of this study is to develop a theoretical model for examining how innovation speed mediates the relationship between knowledge management (KM) and performance and empirically tests the proposed model using data collected in the USA and China over three years.Design/methodology/approachTo avoid common method bias and increase ability to draw causal effects of KM on performance, data were collected over three years. KM data were collected by survey; innovation speed data were collected in the following year; and sales growth and gross margin data were collected over the next three years. After merging the three data sets, the final empirical data used for this study contained data from 354 USA and 647 Chinese firms. Multiple regression analyses were used to test the research hypotheses. Sobel mediation tests were performed to test the mediating effects of innovation speed on the relationship between KM and performance.FindingsInnovation speed has a U-shaped relationship with performance in both US and Chinese firms. Knowledge generation has an inverted U-shaped relationship with innovation speed in both US and Chinese firms. Knowledge dissemination increases innovation speed in US firms but not in Chinese firms. While knowledge application increases innovation speed in the US firms, it decreases innovation speed in Chinese firms.Originality/valueThis study is among the first to propose and empirically test the KM-innovation speed-performance relationship. This paper advances the KM literature by demonstrating that there is an inverted U-shaped relationship between knowledge generation and innovation speed and that there is a U-shaped relationship between innovation speed and performance. In addition, this study contributed to the cross-national study of KM.

Partner Innovation Collaboration and Management Support Toward Innovation Speed and New Product Performance in Small Manufacturing Firms

The purpose of this study was to examine and analyze the role of partner innovation collaboration and management support on innovation speed, and its implications towards new product performance in small manufacturing firms. This study took samples in the category of small manufacturing firms in the food & beverage sector, shoes & bags sector, craft sector, and diverse sector. Then, this study uses primary data using a questionnaire distributed to 95 owners or managers of small manufacturing firms in the Bandung and surrounding areas. Data analysis uses structural equation modeling based on partial least square with the help of SmartPLS 3.0. The results showed that partner innovation collaboration had a positive and significant effect on innovation speed, then management support had a positive and significant effect on innovation speed, then innovation speed had a positive and significant effect on new product performance, most recently the role of partner innovation collaboration also had a positive effect and significant to new product performance. The R-Square calculation results show that partner innovation collaboration and management support influence 0.432 on innovation speed, then partner innovation collaboration and innovation speed have an effect of 0.637 on new product performance. This study implied that small manufacturing firms to utilize an innovation collaboration with partners and allocate more time, effort, thought, costs in the effort to innovation, and be able to create an atmosphere of work together with employees that support innovation activities. Further research is to include moderation variables that support the improvement of new product performance such as absorptive capacity and technological uncertainty. Keywords: management support, partner innovation collaboration, innovation speed, new product performance

Exploring the development of an innovation metric \u2014 from hypothesis to initial use

PurposeThe challenge to improving innovation in an organisation is limited by the metrics used to measure it. Dimensions related to where an organisation is on an innovation spectrum, how fast is that organisation innovating and what is holding it back are key elements that could be used to adequately measure innovation. The objective of this work is to explore the development of an innovation metric based on a pipe flow analogy that has the potential to provide insights into these key elements describing innovation.MethodologyThis work follows three steps: establishing a hypothesis, testing the hypothesis and applying the hypothesis. The proposed hypothesis suggests that an innovation metric, Ri, can be developed based on a pipe flow analogy. This hypothesis is tested qualitatively and quantitatively. The quantitative assessment is accomplished by populating the innovation metric, Ri, with data mainly from the World Bank, comparing the results with established innovation and competitiveness metrics and examining if the metric confirms the trends suggested by the qualitative assessment. Using an illustrative case drawn from the quantitative assessment, the resulting innovation metric is used to indicate possible avenues for innovation performance improvement. Statistical analysis is limited to describing the goodness of fit of different trend line relationships.ResultsA qualitative assessment indicates that the innovation metric (Ri) behaves as illustrated in the literature. The quantitative assessment confirms the qualitative assessment results. The illustrative case demonstrates how the innovation metric can be used to potentially orient innovation performance improvement. The paper closes with a discussion addressing issues and limitations of the metric.Research limitations/implicationsThe validity of this innovation metric is limited by the variables defining it and the quality of the data input. Consequently, the variables used are limited to the analogous versions of fluid mechanics variables used to describe fluid flow in a pipe. The variables used require both hard and soft data which was obtained from the data sources cited as related to nations. On the other hand, the subsequent challenge is related to applying this model to ever smaller organisations especially with respect to gathering soft data related to trust and ease of communication.Practical implicationsKeeping in mind the limitations mentioned, the innovation metric, as it stands, can be used to describe an organisation’s innovation performance, the speed of innovation and resistance to innovation with the data available from the sites indicated. As a result, the model also can be used to see how an organisation’s innovation performance evolves over time as well as indicate possible avenues to improve innovation performance.Originality/valueThis is the first application of the fluid mechanics analogy to describe innovation performance. Its main value is related to contributing to the global conversation on innovation.

Ad hoc efforts for advancing data science education.

With increasing demand for training in data science, extracurricular or “ad hoc” education efforts have emerged to help individuals acquire relevant skills and expertise. Although extracurricular efforts already exist for many computationally intensive disciplines, their support of data science education has significantly helped in coping with the speed of innovation in data science practice and formal curricula. While the proliferation of ad hoc efforts is an indication of their popularity, less has been documented about the needs that they are designed to meet, the limitations that they face, and practical suggestions for holding successful efforts. To holistically understand the role of different ad hoc formats for data science, we surveyed organizers of ad hoc data science education efforts to understand how organizers perceived the events to have gone—including areas of strength and areas requiring growth. We also gathered recommendations from these past events for future organizers. Our results suggest that the perceived benefits of ad hoc efforts go beyond developing technical skills and may provide continued benefit in conjunction with formal curricula, which warrants further investigation. As increasing numbers of researchers from computational fields with a history of complex data become involved with ad hoc efforts to share their skills, the lessons learned that we extract from the surveys will provide concrete suggestions for the practitioner-leaders interested in creating, improving, and sustaining future efforts.

A paradoxical view of speed and quality on operational outcome: An empirical investigation of innovation in high-tech small and medium-sized enterprises

Recently, there has been increasing attention on the speed versus quality paradox in operations and innovation management literature. This study examines the innovation speed-quality paradox on operational performance in small and medium-sized enterprises (SMEs) from high-tech industries. Specifically, we seek to understand how R&D investment with organizational risk influences the innovation speed-quality paradox and how this paradox further influences a firm's operational performance. Based on a panel data of 247 firms (1782 firm-year observations), the empirical results show that R&D investment positively affects innovation speed and quality, and organizational risk positively moderates the relationship between R&D investment and innovation quality. Also, both the innovation speed and quality are positively related to firm's operational performance, while the interaction of speed and quality is negatively related to firm's operational performance. The theoretical and practical implications of our research are also discussed.