Number Of New Products Research Articles

Development of the bank of russia’s fast payment system in modern conditions

The financial market development in Russia and in the world is currently characterized by a number of processes such as emergence of a large number of new products and new formats implementation for their provision, expansion of the geography of financial institutions presence, national boundaries erasure in acquisition and provision of financial services, sales channels improvement for financial products and services, including remote ones, using modern information technologies. The article studies issues related to the current state and prospects of the fast payment system (hereinafter referred to as FPS) development considering the synergetic impact of payment services digitalization and sanctions restrictions. It analyzes the changes taking place in the FPS service in recent years, focusing on innovative business models, new functions implementation, technological transformations, as well as regulatory and risk aspects. The study pays special attention to the financial technology impact on development and functioning of the system as a key element of the payment industry. The potential of FPS in the context of ensuring the Russian payment infrastructure security represents an important direction for strengthening user confidence and system sustainability. The paper considers a number of promising areas for further development of FPSs, including their applicability to cross-border payments.

The impact of accounting conservatism on enterprise innovation investment

This study investigates the influence of accounting conservatism on corporate innovation investment through the lens of information asymmetry theory. While existing literature acknowledges the importance of accounting conservatism in corporate decision-making, there remains a gap in understanding how it specifically affects innovation investment, particularly in varied market environments and regulatory contexts. Specifically, current research often overlooks the heterogeneity of the impact of accounting conservatism on innovation investment under different market environments and regulatory frameworks. Additionally, there is a lack of specialized studies on the unique group of Chinese listed companies. This study fills this gap by empirically analyzing data from Chinese A-share listed companies, revealing a negative correlation between accounting conservatism and corporate innovation investment. Through empirical analysis of the financial reports and research and development (R&D) investment data of Chinese A-share listed companies from 2015 to 2022, this study finds a significant negative correlation between accounting conservatism and corporate innovation investment. Specifically, as accounting conservatism increases, corporate investment in R&D shows a decreasing trend, with a correlation coefficient of −0.364. This result is further validated by hierarchical regression analysis, where the regression coefficient is −0.465, indicating that accounting conservatism has a significant inhibitory effect on corporate innovation investment. This study is pioneering in its examination of the relationship between accounting conservatism and corporate innovation investment within the unique market environment of China, taking into account its distinctive characteristics and rapidly evolving technological industry background. To quantify accounting conservatism, the research employs the C-Score and G-Score models, while employing a range of indicators to measure corporate innovation investment, including proportions of R&D expenditure, number of new products or services, patent applications, total R&D personnel, capital investments, and progress in innovation projects. This comprehensive evaluation method enhances the accuracy and reliability of the study. The contribution of this study is significant as it offers a fresh perspective on how accounting conservatism influences corporate innovation investment. By providing empirical data support, it assists investors and corporate managers in making informed financial decisions and shaping innovation strategies. Through hierarchical regression analysis, the study substantiates the detrimental impact of accounting conservatism on corporate innovation investment, thereby establishing new theoretical and practical foundations for further research and application in related fields.

A Study on the Marketing Strategy for a New Product Development and Launch in the Market

In today’s market careful planning and a good product strategy are essential to help you succeeding in the market. Companies everywhere are competing more than ever to develop new and unique products or services and gain a higher position in the market. Companies develop a high number of new products every year. Most of these products fail to secure competitive advantages and end up being just another high cost for the company. The aim of this thesis is to develop a product development and launch process for Company X, Finnish supplier of roll handling equipment for the paper industry. The need for this thesis came during the author´s working experience with the company. Company X is a young company that creates innovative products for the industry. Developing new unique products that offer several benefits to the customers is the company mission and at the same time one of the main strengths. As the new product development is a continuous process and Company X is growing its product portfolio continuously, the commissioner felt the need instructuring the product development and launch process in a well-defined step-by-step process that is easy to follow and communicate internally. The author’s knowledge and experience gained during the studies in international business and working with in the paper industry can be utilized to help Company X in building this process. New products are very essential for the corporate success. Innovation is a must if you want to continue competing in the market. However the new product development is one of the riskiest processes that require focus and high investments. Several studies have been done in the successful product launch cases, and success drivers have been discovered. Corporations are using a structured idea-to- launch processes which help them manage implementing these success drivers and reduce the risk of product launch fail.

Preparation of Ultrasound-enhanced Magnetic Materials and Degradation Studies of Dyes

As people’s pursuit of spiritual life and material needs continues to increase, a large number of new products have been invented and manufactured, and the dyeing industry has developed at a high speed. With the rapid development of textile printing and dyeing industry has made the composition of printing and dyeing wastewater has become more and more complex, and the discharge volume has greatly increased, which not only increases the difficulty of the treatment of printing and dyeing wastewater, but also has a great impact on the environment, a very small amount of dyes can make the water produce a large chromaticity, which will cause discomfort to people, so printing and dyeing wastewater has become one of the major threats to China’s water environment.

CURRENT TRENDS IN THE DEVELOPMENT OF THE COSMETIC MARKET

Cosmetics are an important consumer product, whose popularity is confirmed by the huge volume of sales in the global market. On the world market, perfumery and cosmetic products are produced by over 500 enterprises and firms, but about half of all production is concentrated in the hands of only seven largest companies. This article presents key economic indicators related to concentration and dominance in the cosmetics market, as well as major changes in the industry and individual companies. The importance of this problem lies in the fact that in light of growing consumer demand for new products, the development of brands in the cosmetics industry is becoming more intense. In such conditions, strong competition forces manufacturers to continuously introduce new products to the market to expand their range and increase sales volumes. Purpose. The purpose of this article is to study the market of cosmetic products to determine the trend in the development of the cosmetics market. Methods and materials. The article presents the result of a review of the global cosmetics market. To collect information, the method of desk research is used, that is, the processing of information that has been presented on official websites. The result is based on the systematic collection, structuring and analysis of qualitative and quantitative data during the review of the cosmetics market. The Herfindahl-Hirschman index is used to calculate the degree of monopolism in this market. Results. The analysis showed that today there are seven large corporations operating on the world market, owning a total of 182 companies producing a wide variety of goods. One of the leading companies is the French company L’Oreal, whose profit in 2022 amounted to $ 40.3 billion. The general state of the market is growing at different rates every year. For example, in 2019, the state of the market was estimated at $ 450 billion, but in 2020, due to covid-19, these figures decreased to $ 341 billion. But despite this, the cosmetics market will be able to recover, and by 2022 the cosmetics market was estimated at $ 518 billion. Analysis of the German research company GFK cosmetics market revealed several trends in consumer behavior, such as rationality, anti-aging cosmetics, etc.. Conclusion. In recent years, the consumption of perfumes and cosmetics worldwide has grown significantly. A large number of new products with new consumer properties have appeared on the world market, which have oversaturated the market. For several years, there has been a tendency to decrease the market concentration and market influence of individual companies, increasing competition. Advertising plays an important role in the cosmetics market, so most of the investment is invested in advertising products.

Exploring the GMO narrative through labeling: strategies, products, and politics

ABSTRACT Labels are influential signals in the marketplace intended to inform and to eliminate buyer confusion. Despite this, food labels continue to be the subject of debate. None more so than non-GMO (genetically modified organisms) labels. This manuscript provides a timeline of the evolution of GMO labels beginning with the early history of the anti-GMO movement to the current National Bioengineered Food Disclosure Standard in the United States. Using media and market intelligence data collected through Buzzsumo™ and Mintel™, public discourse of GMOs is analyzed in relation to sociopolitical events and the number of new food products with anti-GMO labels, respectively. Policy document and publication data is collected with Overton™ to illustrate the policy landscape for the GMO topic and how it has changed over time. Analysis of the collective data illustrates that while social media and policy engagement around the topic of GMOs has diminished over time, the number of new products with a GMO-free designation continues to grow. While discourse peaked at one point, and has since declined, our results suggest that the legacy of an anti-GMO narrative remains firmly embedded in the social psyche, evidenced by the continuing rise of products with GMO-free designation. Campaigns for GMO food labels to satisfy consumers’ right to know were successful and the perceived need for this information now appears to be self-sustaining.

The influence of supply chain quality integration on operational performance through innovation quality integration

Sanitary and product manufacturing companies' care in Indonesia is increasingly challenging to carry out production due to limitations caused by the lockdown during the pandemic. The conditions demanded very high and required fast distribution mobility. The company maintains product quality by established standards according to specifications, but the production process time is limited. To maintain product quality, companies must retain supply chain quality integration and innovation quality integration to support Operational Performance. The research uses manufacturing companies focusing on plastic companies with bottle and tube production related to supply packaging health protocol products. Analysis to answer the research hypothesis uses the software SmartPLS. The study results found that internal supply chain quality integration by integrated manufacturing processes positively and significantly affects supplier and customer quality integration. Supply chain integration, which consists of supplier quality integration, internal quality integration, and customer quality integration, impacts increasing product innovation and the number of new products. Supply chain quality integration and innovation quality integration directly influence operation performance. This research enlightens company managers on improving internal capabilities and establishing synergy with suppliers and customers to create innovation, aiming to increase operational performance to compete with the global market and face market fluctuations. Research makes a theoretical contribution to quality development and supply chain integration.

Display optimization under the multinomial logit choice model: Balancing revenue and customer satisfaction

In this paper, we consider an assortment optimization problem in which a platform must choose pairwise disjoint sets of assortments to offer across a series of T stages. Arriving customers begin their search process in the first stage, and progress sequentially through the stages until their patience expires, at which point they make a multinomial logit–based purchasing decision from among all products they have viewed throughout their search process. The goal is to choose the sequential displays of product offerings to maximize expected revenue. Additionally, we impose stage‐specific constraints that ensure that as each customer progresses farther and farther through the T stages, there is a minimum level of “desirability” met by the collections of displayed products. We consider two related measures of desirability: purchase likelihood and expected utility derived from the offered assortments. In this way, the offered sequence of assortments must be both high earning and well liked, which breaks from the traditional assortment setting, where customer‐centric considerations are generally not explicitly accounted for. We show that our assortment problem of interest is strongly NP‐Hard, thus ruling out the existence of a fully polynomial‐time approximation scheme (FPTAS). From an algorithmic standpoint, as a warm‐up, we develop a simple constant factor approximation scheme in which we carefully stitch together myopically selected assortments for each stage. Our main algorithmic result consists of a polynomial‐time approximation scheme (PTAS), which combines a handful of structural results related to the make‐up of the optimal assortment sequence within an approximate dynamic programming framework. We also provide an additional approximation scheme, which, under mild assumptions, can handle a cardinality constraint that enforces that an exact number of new products are introduced at each stage. Using an extensive set of numerical experiments, we demonstrate that both algorithms exhibit excellent practical performance, producing sequences of assortments that are, on average, always within 2% of optimal.

Machine learning accurately predicts food exchange list and the exchangeable portion.

Food Exchange Lists (FELs) are a user-friendly tool developed to help individuals aid healthy eating habits and follow a specific diet plan. Given the rapidly increasing number of new products or access to new foods, one of the biggest challenges for FELs is being outdated. Supervised machine learning algorithms could be a tool that facilitates this process and allows for updated FELs-the present study aimed to generate an algorithm to predict food classification and calculate the equivalent portion. Data mining techniques were used to generate the algorithm, which consists of processing and analyzing the information to find patterns, trends, or repetitive rules that explain the behavior of the data in a food database after performing this task. It was decided to approach the problem from a vector formulation (through 9 nutrient dimensions) that led to proposals for classifiers such as Spherical K-Means (SKM), and by developing this idea, it was possible to smooth the limits of the classifier with the help of a Multilayer Perceptron (MLP) which were compared with two other algorithms of machine learning, these being Random Forest and XGBoost. The algorithm proposed in this study could classify and calculate the equivalent portion of a single or a list of foods. The algorithm allows the categorization of more than one thousand foods with a confidence level of 97% at the first three places. Also, the algorithm indicates which foods exceed the limits established in sodium, sugar, and/or fat content and show their equivalents. Accurate and robust FELs could improve implementation and adherence to the recommended diet. Compared with manual categorization and calculation, machine learning approaches have several advantages. Machine learning reduces the time needed for manual food categorization and equivalent portion calculation of many food products. Since it is possible to access food composition databases of various populations, our algorithm could be adapted and applied in other databases, offering an even greater diversity of regional products and foods. In conclusion, machine learning is a promising method for automation in generating FELs. This study provides evidence of a large-scale, accurate real-time processing algorithm that can be useful for designing meal plans tailored to the foods consumed by the population. Our model allowed us not only to distinguish and classify foods within a group or subgroup but also to perform the calculation of an equivalent food. As a neural network, this model could be trained with other food bases and thus improve its predictive capacity. Although the performance of the SKM model was lower compared to other types of classifiers, our model allows selecting an equivalent food not from a group previously classified by machine learning but with a fully interpretable algorithm such as cosine similarity for comparing food.

ATR-FTIR spectroscopy combined with chemometrics for quantification of total nicotine in Algerian smokeless tobacco products

Chemma, an oral moist snuff widespread used in Algeria, is prepared from grounded tobacco and inorganic salts or other plant materials. In addition to its adverse health issues, Chemma contains unknown amounts of nicotine and other harmful constituents. Twenty seven samples of commercial products and tobacco leaves varieties were characterized in the aim to quantitatively determine total nicotine by attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy coupled with two regression methods (univariate and multivariate). For this purpose, a highly specific-to-analyte extraction method was applied on calibration and test sets of standards for a wide concentration range. The optimal analytical models were evaluated by selecting the appropriate spectral measurement, spectral pre-processing strategies and critical figures of merit estimated according to the latest approaches. Then, the predictive ability of the method was demonstrated with the elliptical joint confidence region test and with comparing to results in literature.The linear baseline correction and the extended multiplicative scatter correction pre-processing of the combined reduced spectral regions 1333–1299 and 740–690 cm−1 followed by partial least squares regression (PLSR) offered the best analytical outcomes. Using this latter, total nicotine content in the manufactured smokeless tobacco (ST) products have been found ranging from 3.9 to 12.6 mg/g of dry weight; while in the ST leaves, it was between 5.9 and 45.0 mg/g, dry weight basis. The developed method, besides to the high predictive performance, provides advanced statistical tests that can qualitatively assess the target analyte in real sample spectra, allowing more reliable result.With the increasing number of new products containing complex agents and adulterants, the aforementioned method can be successfully adapted to routine analyses for rapid quality control of nicotine in ST and cigarettes.

Anomaly Detection through Grouping of SMD Machine Sounds Using Hierarchical Clustering

Surface-mounted device (SMD) assembly machines refer to production lines that assemble a variety of products that fit their purposes. As the required products become more diverse, models that oversee product anomaly detection are also becoming increasing linearly. In order to efficiently oversee products, the number of models has to be reduced and products with similar characteristics have to be grouped and overseen. In this paper, we show that it is possible to handle a large number of new products using latent vectors obtained from the autoencoder model. By hierarchically clustering latent vectors, the model finds product groups with similar characteristics and oversees them by group. Furthermore, we validate our multi-product operation strategy for anomaly detection with a newly collected SMD dataset. Experimental results show that the anomaly detection method using hierarchical clustering of latent vectors is a practical management method for SMD anomaly detection.

Market of tissue engineering in Canada from 2011 to 2020.

Tissue engineering aims to produce tissue/organ substitutes to improve upon current treatment approaches, thus providing a permanent solution to damaged tissues/organs. This project aimed to perform a market analysis for understanding and promoting the development and commercialization of tissue engineering in Canada. We searched companies that were established between October 2011 and July 2020 via publicly available information and for these companies, we collected and analyzed the corporate level information, including revenues, and number of employees and founder information. The companies assessed were mainly searched from four different industry segments, i.e., bioprinting, biomaterials, cells and biomaterials, and stem-cells related industry. Our results have demonstrated that there are twenty-five tissue-engineering companies registered in Canada. These companies generated an estimated revenue of USD $67 million in the year 2020, most generated by the tissue engineering and stem-cells related industries. Our results also show that Ontario has the largest number of headquarters of tissue engineering companies among the provinces or territories of Canada. It is expected that the number of new products undergoing clinical trials is increased, based on our results of current clinical trials. Altogether, tissue engineering in Canada has shown a huge growth in the past decade and is forecasted to be an emerging industry in Canada for the years to come.

Development of Sustainable Regional Innovation Towards Gemilang Tangerang Regency: Study in the Tangerang Regency

The development of sustainable regional innovation is a step taken in realizing Tangerang Gemilang Regency. Tangerang Gemilang branding introduces regional potentials, such as tourism, industry, agriculture, and culture. Through sustainable innovation, regional development programs develop the superior potentials in the region more efficiently and effectively to increase regional competitiveness and positively impact society. This research aims to identify sustainable innovations that have been implemented by the Tangerang Regency Government, as well as to analyze the factors that influence the successful development of these innovations. The novelty of the research lies in the discussion of the implementation of regional innovations in the Tangerang Regency that have been carried out sustainably. The research discusses various aspects of sustainable regional innovations, including tourism, technology, infrastructure, and community participation. The research has an explanatory nature with a qualitative approach and a single case study where data is collected through in-depth interviews, observation, document analysis, and descriptive data processing. Then the independent variables (brand awareness, product innovation, number of new products, regional identity) and dependent variables (tourist attraction, industry, trade) were analyzed. The research found that implementing sustainable regional innovation to realize the branding of the Tangerang Gemilang district has been stated in the 2019-2014 RPJMD. Realizing Tangerang Gemilang with a sustainable innovation ecosystem requires a participatory and collaborative approach. Collaboration makes the ecosystem develop and have an impact. The importance of the innovation ecosystem is to reduce progressive programs that are often stopped when there is a change of regional head or mutation of regional apparatus leaders. Sustainability requires technical and policy innovation as well as a philosophical foundation in the form of city branding with careful planning. Tangerang Regency has proven this through policy preparation, mentoring and comprehensive evaluation of innovative programs to realize Tangerang Gemilang.

Marketing activities on the entry stage of new product to the market

The number of commercial transactions in the digital segment, as well as the number of new products on the market, is growing from year to year. The intensification of innovation observed in the market indicates a reduction in the time of the release of a new product, which increases the supply in the market. However, a wide product range does not always allow companies to get their target audience, which leads to a decrease in the efficiency of the company and a reduction in sales. The intensification of the development of new products forces the manufacturer to improve marketing activities at the output stage. The article clarifies the concept of a new product through a terminological analysis of domestic and foreign sources. For a refined definition, marketing tools were identified at the stage of bringing the product to the market and existing marketing models that describe the diffusion of innovations. An attempt was made to combine the model of E. Rogers and F. Bass with the product life cycle model, which made it possible to draw conclusions regarding marketing activities and the tools used when launching a product in relation to the target audience of a new product. The article analyzed the definition of "new product" in the context of bringing a new product to the market. For a refined definition, conclusions were drawn and made regarding the strategies for entering the market and the marketing tools used in their withdrawal. Not only the strategy and consumer orientation are determined, but also the role of the consumer in bringing a new product to the market, taking into account the E. Rogers innovation diffusion model, the F. Bass model and the product life cycle model.

Информационно-правовые проблемы формирования цифровой среды доверия в финансовой сфере посредством развития механизмов удаленной идентификации

The article is devoted to the study of remote identification mechanisms in the context of the problems of their application and development as a key element of the formation of an environment of trust. The development of the financial industry is currently characterized by a number of processes — the emergence of a large number of new products and the introduction of new formats for their provision, the expansion of the geography and boundaries of the presence of financial organizations, the improvement of sales channels of financial products and services, including remote. In these conditions, the goals and objectives of modern technological transformations determine the need to create high-quality industry solutions for remote identification, which are the basis for the formation of an environment of trust for recipients of remote services. The present study is aimed at a scientific understanding of the dynamics of the development of legislation that forms the mechanisms of remote identification, allowed to identify the features of application and implementation risks, priority development trends.

Proton and Electron Irradiations of CH4:H2O Mixed Ices

The organic chemistry occurring in interstellar environments may lead to the production of complex molecules that are relevant to the emergence of life. Therefore, in order to understand the origins of life itself, it is necessary to probe the chemistry of carbon-bearing molecules under conditions that simulate interstellar space. Several of these regions, such as dense molecular cores, are exposed to ionizing radiation in the form of galactic cosmic rays, which may act as an important driver of molecular destruction and synthesis. In this paper, we report the results of a comparative and systematic study of the irradiation of CH4:H2O ice mixtures by 1 MeV protons and 2 keV electrons at 20 K. We demonstrate that our irradiations result in the formation of a number of new products, including both simple and complex daughter molecules such as C2H6, C3H8, C2H2, CH3OH, CO, CO2, and probably also H2CO. A comparison of the different irradiation regimes has also revealed that proton irradiation resulted in a greater abundance of radiolytic daughter molecules compared to electron irradiation, despite a lower radiation dose having been administered. These results are important in the context of the radiation astrochemistry occurring within the molecular cores of dense interstellar clouds, as well as on outer Solar System objects.

The influence of strategic innovation management on firm innovation performance in the Indonesian mid-size telecommunication industry

Background: The telecommunication industry was one of the Indonesian government's priorities in the national development plan 2015-2035. “Primary Industry” was the term for the priority industries with the central role as the prime mover in the future national economy. Various natural, human, technological, innovative, and creative resources were imperative in supporting the underlining national industry development plan. Strategic innovation management refers to the entire sequence of innovation practices, including competition mechanism analysis, such as creating an innovative vision, business strategy alignment, disseminating strategy at an entire organizational level, market tendency, technology, and competitor’s action. Firm innovation performance refers to the measurement of innovation efficiency (the number of new products, product novelty, new product development speed, and new product success rate) and innovation profitability (new product revenue proportion, quality enhancement, cost reduction, and value improvement) conducted by the firm. This study investigates the effect of Innovation Strategy, Organizational Structure, Innovation Culture, Technological Capability, and Customer-Supplier Relationship (these were the practice of Strategic Innovation Management mentioned in various literature) on Firm Innovation Performance. Methods: A quantitative method, from a practical perspective, was employed to investigate the causal relationship between strategic innovation management and firm innovation performance. Data was gathered through a validated and reliable questionnaire disseminated to 90 respondents. It included a representative from the four sub-sectors of the telecommunication industry, namely fixed networks, wireless networks, telecommunication services, and special telecommunication. Results: The survey found that firms within the telecommunication industry already employed Strategic Innovation Management practices. Moreover, this study also found that Innovation Culture, Technological Capability, and Customer-Suppler Relationship significantly influence Firm Innovation Performance. Conclusion: The implementation of Strategic Innovation Management in the mid-size companies within Indonesia's telecommunication industry appears to be relatively high. It indicates that firms within the industry were able to strategically compete by implementing Strategic Innovation Management.

Diversification mechanisms and their effectiveness

The work is devoted to finding effective mechanisms for the implementation of diversification and commercialization in large companies. World practice outlines that big are quite actively use the purchase (mergers and acquisitions) of other companies as a powerful diversification tool. Mergers and acquisitions allow companies - buyers quickly increasing the number of new products and services in their portfolio. This mechanism is used in the military and civilian sectors simultaneously. Boeing, Northrop Grumman, Raytheon Corp., Intel, Google, NEC and others are constantly buying third-party companies and sell their own assets. Based on the analysis of domestic and foreign experience in this area, it is concluded that, among currently used, the most optimal diversification mechanisms are the purchase of innovative companies, the involvement of external teams in the organization. Also among these mechanisms are buying the specialists with innovative technological competencies, the acquisition (purchase) of external innovative technologies and competences.

Pengaruh Ekuitas Merek Terhadap Keputusan Pembelian Konsumen Pada Produk iPhone di Kota Surabaya

People's interest in technology, or brands, has always been very important. Therefore, technological developments increase the number of new products and competitors in the telecommunications industry, placing consumers first and consumers with more choices and information as king. In this era, telecommunications has also become a competitive business field for business actors because of its extraordinary potential. This situation causes competition between companies, and players find themselves needing to maximize their company's wealth to survive from companies that manufacture smartphone products. One way to achieve this state is BRAND. Kotler explains that a brand is very useful in identifying the goods or services of one publisher or group of publishers, distinguishing them from similar products from other publishers. For them, for every company, the 'brand' is everything that makes it up and the most important capital. Because it is the basis of competitive advantage and future source of income. In this study, we adopted the method of using a questionnaire based on the results obtained. Brand loyalty therefore receives the most dominant value in purchasing decisions. iPhone consumer loyalty has a significant effect on consumer purchasing decisions. As a result of this research, we can come to the conclusion that iPhone users often give consumers positive feedback.

The influence of strategic innovation management on firm innovation performance in the Indonesian mid-size telecommunication industry

Background: The telecommunication industry was one of the Indonesian government's priorities in the national development plan 2015-2035. “Primary Industry” was the term for the priority industries with the central role as the prime mover in the future national economy. Various natural, human, technological, innovative, and creative resources were imperative in supporting the underlining national industry development plan. Strategic innovation management refers to the entire sequence of innovation practices, including competition mechanism analysis, such as creating an innovative vision, business strategy alignment, disseminating strategy at an entire organizational level, market tendency, technology, and competitor’s action. Firm innovation performance refers to the measurement of innovation efficiency (the number of new products, product novelty, new product development speed, and new product success rate) and innovation profitability (new product revenue proportion, quality enhancement, cost reduction, and value improvement) conducted by the firm. This study investigates the effect of Innovation Strategy, Organizational Structure, Innovation Culture, Technological Capability, and Customer-Supplier Relationship (these were the practice of Strategic Innovation Management mentioned in various literature) on Firm Innovation Performance. Methods: A quantitative method, from a practical perspective, was employed to investigate the causal relationship between strategic innovation management and firm innovation performance. Data was gathered through a validated and reliable questionnaire disseminated to 90 respondents. It included a representative from the four sub-sectors of the telecommunication industry, namely fixed networks, wireless networks, telecommunication services, and special telecommunication. Results: The survey found that firms within the telecommunication industry already employed Strategic Innovation Management practices. Moreover, this study also found that Innovation Culture, Technological Capability, and Customer-Suppler Relationship significantly influence Firm Innovation Performance. Conclusion: The implementation of Strategic Innovation Management in the mid-size companies within Indonesia's telecommunication industry appears to be relatively high. It indicates that firms within the industry were able to strategically compete by implementing Strategic Innovation Management.