scholarly journals Market Orientation and Marketing Innovation Activities in the Czech Manufacturing Sector

2020 ◽  
Vol 8 (1) ◽  
pp. 10
Author(s):  
Marek Vokoun ◽  
Romana Píchová

Market competition drives organizations to higher efficiency. This paper analyses the relationship between the prevailing organization’s market orientation and marketing innovation activities. The sample of organizations consists of business enterprises from the manufacturing sector in the Czech economy. Data come from the Community Innovation Survey in 2014 and are analyzed using the innovation process econometric modeling. This innovation survey covers the period of a 3 year J-curve of real GDP growth. Czechia is one of the most open economies in the world and has one of the largest shares of exports and imports to GDP. This paper evaluates four types of marketing innovation activities (design, pricing, placing and promotion methods) at the enterprise level as a factor of marketing capability. The analyzed sample consists of observations about new-to-the-market innovators and enterprises that did not engage in new-to-the-market innovation activities in the last three years. The second group are considered to be lower-level innovators, i.e., adaptors to technological change. This paper explores the relationship between local, national, European and World market orientation in addition to an enterprise’s marketing innovation activities. The results suggest that not all types of marketing innovations are dependent on market orientation, while some have indirect positive and negative effects. Feedback and the future effects of marketing innovation activities are present at the enterprise level. Results also suggest that the marketing innovations of innovators form the manufacturing sector while they are dependent upon the strategies of enterprises to enter new geographical markets and gain the motivation to unlock new (hidden) demand.

Author(s):  
Ovidiu-Iulian Bunea

Abstract The main purpose of this paper was to analyze the relationship between the company’s sales activity, innovation and competitive advantage using a representative sample of firms analyzed in dynamics in 2014-2018 time period. Scientific literature on the determinants of innovation has shown that large firms are more likely to innovate when compared to small firms and that innovation inputs significantly increase innovation output. The types of innovation to which this work refers are process, product, organizational and marketing innovation. Thus, looking at the history and evolution of companies, in terms of financial statement and, more specifically, sales, we can reveal relevant information about their innovation activities and potential sustainable competitive advantage emerging from innovation. Sales can be considered input into the innovation process through the information gathered from customers, thus contributing to the innovation process. For example, when it comes to launching a new product or improving the existing one, sales feedback could be of great help because the salesperson has the ability to collect important customer feedback such as: what are the issues with the present product, what could be improved and how etc. So, we ask: Does sales contribute to the innovation process and gaining sustainable competitive advantage? If so, what happens with the degree of innovation according to the volume of sales, the size of the company, the number of employees? To highlight the relationship between sales, innovation and competitive advantage, and to estimate the predictability of the model, multiple linear regression was used. Thus, the analysis has shown that sales activity positively and significantly influences innovation when it comes to the information that sales can make available, contributing in some cases as a source of sustainable competitive advantage. Research also identified a significant but negative influence between sales, innovation and sustainable competitive advantage when we talk about sales in terms of their volume.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Franz Barjak ◽  
Fabian Heimsch

PurposeThe relationship between corporate culture and inbound open innovation (OI) has been limited to two sub-constructs: a culture for openness and an innovation culture, but until now a richer conceptualization of corporate culture is missing.Design/methodology/approachThe authors apply Quinn and Rohrbaugh's (1983) competing values framework and regress these together with company internal and external control variables on five measures of inbound OI, reflecting product innovation, process innovation and the sourcing of innovation activities. The authors use data from a survey of more than 250 Swiss companies, primarily SMEs.FindingsThe importance of the firms' market environments suggests that the results are affected by the specific situation in which the firms found themselves at the time of the survey: after a strong currency shock, inbound OI activities seem to be a reaction to external pressure that favored planning and rule-oriented (formal) cultures to implement cost-cutting process innovations.Practical implicationsCompanies should develop a vision and a strategy, ensure open and transparent communication, have suitable reward and support mechanisms in place, adjust structures and processes, and institutionalize and formalize any change whenever they are confronted with a situation that requires a quick reaction and an adjustment to their degree of openness.Originality/valueThe paper clarifies the relationship between cultural traits and inbound OI, using a well-established understanding of corporate culture and differentiating between innovation types. It points to the importance of the external environment in order to understand the role of culture.


2020 ◽  
Vol 12 (3) ◽  
pp. 100-114
Author(s):  
Nuša Erman

Abstract In 2004, the European Commission implemented the Decision No 1608/2003/EC of the European Parliament and of the Council concerning the production and development of Community statistics on innovation. This triggered the awareness of the role of innovation and R&D on national and European level and thus the opportunity to step towards in-depth monitoring innovation performance through various indicators. The paper aims to investigate the trends in the selected innovation indicators (i.e., public funding, expenditures and innovation activities, types of innovation and products introduced, hampered innovation activities) to outline the development direction on the enterprise level using the Community innovation survey data for the 2002–2016 period. Using the basic time series analysis, the paper evaluates the progress according to the European Strategy on research and innovation. Furthermore, using the autocorrelation and autoregression methods, the paper also outlines the future direction in innovation performance on European level.


2013 ◽  
Vol 58 (198) ◽  
pp. 7-34 ◽  
Author(s):  
Iraj Hashi ◽  
Nebojsa Stojcic

The impact of innovation activities on the performance and competitiveness of firms, industries, and nations has been a matter of considerable interest over the past few decades. The existing empirical work has widened our knowledge of the complexity of the innovation process and its impact on the ability of firms to compete. This study investigates how knowledge spillovers generated through firms? innovation activities affect the ability of their industries to compete in terms of quality. The data from the Community Innovation Survey 2006 for several EU member and candidate countries that have recently become available are combined with other EU-wide datasets to create an industry database containing information on innovation activities and performance at industry level. A simultaneous equations framework is used to examine the interdependencies between knowledge spillovers, innovation activities, quality upgrading, and the market share of industries from the selected countries in the single European market. The results of the investigation provide support for the relationship between innovation, quality upgrading, and market share of industries, and point to several types of spillover which are relevant for the competitiveness of national industries in EU member states.


2020 ◽  
Vol 73 ◽  
pp. 02002
Author(s):  
Iveta Kmecová ◽  
Marek Vokoun

Innovative activities of small and medium-size enterprises (SMEs) in rural areas and in Czech economy are relatively unexplored areas. Socioeconomic and environmental contributions of SMEs activities can be gained not only by means of ecological innovative activities of rural SMEs. Rural areas are also a suitable localization strategy for obtaining public money from subsidies, as there is no great direct competition and lower costs. SMEs economic contributions are irreplaceable both for urban and rural areas. Socioeconomic impact of ecological innovations for urban and rural areas is connected with the advantages of circular economy, such as reduced energy consumption, less pollution and waste, and well-organized product recycling options after use. The hypotheses are focused on the localization of businesses into rural areas, size of enterprises introducing innovations in the market, and ecological product and processes innovations. Estimation is based on 4 innovation phases as in the case of the general innovation business process. The 2014 data set is provided by the Czech Statistical Office contains the Community Innovation Survey. The results for 2014 indicate that localization does not affect the first phases of the innovation process, and that the innovative activities increase the costs of the R&D activities.


2019 ◽  
Vol 54 (3) ◽  
pp. 570-593 ◽  
Author(s):  
Sixing Chen ◽  
Jun Kang ◽  
Suchi Liu ◽  
Yifan Sun

Purpose This paper aims to build on the latest advances in cognitive computing techniques to systematically illustrate how unstructured data from users can offer significant value for co-innovation. Design/methodology/approach The paper adopts a general overview approach to understand how unstructured data from users can be analyzed with cognitive computing techniques for innovation. The paper links the computerized techniques with marketing innovation problems with an integrated framework using dynamic capabilities and complexity theory. Findings The paper identifies a suite of methodologies for facilitating company co-innovation via engaging with customers and external data with cognitive computing technologies. It helps to expand marketing researchers and practitioners’ understanding of using unstructured data. Research limitations/implications This paper provides a conceptual framework that divides co-innovation process into three stages, ideas generation, ideas integration and ideas evaluation, and maps cognitive computing methodologies and technologies to each stage. This paper makes the theoretical contributions by developing propositions from both customer and firm perspectives. Practical implications This paper can be used for companies to engage consumers and external data for co-innovation activities by strategically select appropriate cognitive computing techniques to analyze unstructured data for better insights. Originality/value Given the lack of systematic discussion regarding what is possible from using cognitive computing to analyze unstructured data for co-innovation. This paper makes first attempt to summarize how unstructured data can be analyzed with cognitive computing techniques. This paper also integrates complexity theory to the framework from a novel perspective.


2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Shan Cen ◽  
Lianshui Li ◽  
Weijun Cui

The impacts of FDI (foreign direct investment) on the innovation of Chinese local enterprises have always been the focus of attention, but few studies have explored the impacts of foreign shareholding on enterprise innovation behaviors through the micro level. Based on the survey data regarding the manufacturing sector of China enterprises conducted by the World Bank in 2012, this paper conducts an empirical study on the relationship between foreign shareholding and enterprise innovation behaviors. The research findings include two aspects; that is, (1) foreign shareholding has significantly positive impacts on enterprise innovation behaviors; (2) technology introduction plays a complete mediating effect in foreign shareholding and enterprise innovation behaviors. On the basis of considering sample selective bias and endogenous problems, the propensity score matching (PSM) method is further applied to evaluate the impacts of foreign shareholding on enterprise innovation behaviors. After putting the endogenous problems and sample selective bias under control, the above conclusions are still robust. Thus, under the current complicated international situation, enterprises should be encouraged to attract foreign investment under moderate control, with a view to accelerating the promotion of enterprise innovation activities through the technology introduction brought about by foreign shareholding.


Due to ambiguity in the market orientation and performance relationship, the basic aim of the study to investigate the nature of relationship exists between market orientation and performance of the manufacturing SMEs in India. Data for this study were collected from the 388 managers/owners of SMEs indulged in the manufacturing sector through well-established scales. The utilized scale’s reliability and validity were assessed through CFA, and various hypotheses related to the environmental moderators and innovation mediation was tested. This study is relevant for owners/managers and policymakers responsible for improving the performance of small and medium enterprises, working in the manufacturing sector. The study necessitates the significance of catering express needs of customers to boost up the effect of market orientation on performance. The study tested the relationship between the market orientation and performance relationship at the disaggregated level. The important insight about the direct, indirect, and the moderated relationship was reported in the study.


2020 ◽  
Vol 16 (4) ◽  
pp. 769-789
Author(s):  
Junguo Shi ◽  
Bert Sadowski ◽  
Sihan Li ◽  
Önder Nomaler

ABSTRACTOn the basis of a rich panel data set of large- and medium-sized Chinese manufacturing enterprises, we observe that different types of firms (i.e., state-owned enterprises [SOEs], foreign-funded ownership [FFO] of firms, Hong Kong-Macau-Taiwanese [HMT] companies and privately-owned firms) exploit different stages of the innovation – productivity chain depending on the extent of market concentration. By applying a modified CDM model, this study reveals that SOEs tend to be more active in making innovative decisions and pursuing innovative investments but are less efficient in terms of innovation output and labour productivity, whereas FFO firms have relatively high labour productivity but are less active in the first three stages of the innovation – productivity chain. Market competition favours SOEs in the production of additional innovation products. Foreign firms are efficient in labour productivity if they are operating in a concentrated market. By using the metaphor of DNA, this study explains the heterogeneity among these different forms of ownership and generates several managerial implications.


2017 ◽  
Vol 9 (3) ◽  
pp. 244-264 ◽  
Author(s):  
Filipe AP Duarte ◽  
Maria Jose Madeira ◽  
Dulcineia Catarina Moura ◽  
Joao Carvalho ◽  
Jacinta Raquel Miguel Moreira

Purpose This paper aims to analyses barriers as a determinant of ongoing or abandoned innovation activities. The literature exploits barriers as the nature of innovation and its influence on firm’s. The main focus is the Portuguese SMEs and the impacts that act as barriers in the development of innovation activities. Design/methodology/approach The database was obtained through the Community Innovation Survey 2010 (CIS 2010) that was coordinated by EUROSTAT. In this sense, a logistic regression model is proposed, which makes it possible to analyse the relations between three or more variables, depending on whether the relationship is one of dependence or interdependence, thus allowing the application of distinct statistical techniques, using 6,160 firms Findings There are several sources of information that are associated with the development of innovation projects. Practical implications The importance of barriers to the development of innovation activities, as well as it being a decisive factor in the impediment to and abandon of the same, was noted. Originality/value This study also demonstrated that each case is different and that a barrier in one firm can at the same time be a window of opportunity for another firm.


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