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Purpose: Based on the resource-based view theory, environmental uncertainty perspective, and causal complexity in firms, this study aims to identify the causal pathways of organizational resources, dynamic capabilities and technological uncertainty leading to digital transformation from a holistic perspective. Design/methodology/approach: Considering the gap in the existing literature on the configuration of internal and external factors affecting digital transformation, this study conducts a set-theoretic analysis using fuzzy-set qualitative comparative analysis (fs/QCA). The fs/QCA focuses on the effects of causal conditions that allow for more detailed discovery and understanding of the causal mechanisms of digital transformation. Thirty-three manufacturing SMEs were selected and fs/QCA was used to explore how companies can engage resources and dynamic capabilities to achieve digital transformation in the face of a highly uncertain external environment. Findings: As the research shows, both high and low levels of digital maturity can be achieved through various pathways of causal conditions. There is synergy between technological uncertainty and relational and portfolio technological resources or between technological uncertainty and sensing and seizing capabilities that can jointly promote digital transformation. Research limitations/implications: The analysis is based on a limited number of cases. In order to generalize the results, a larger sample from multiple industries can be collected and analyzed, thus refining the findings and increasing the level of universality. Future research should also be extended to different levels and theoretical perspectives to analyze the different factors influencing digital transformation. Practical implications: According to the research, managers should avoid "one size fits all" strategies and follow a pathway based on their resources and capabilities, especially dynamic to promote digital transformation or analyze environmental changes, as the digital era is inextricably linked to a high degree of technological uncertainty. Originality/value: This research enhances understanding of the interdependence of causal conditions (i.e. organizational resources, dynamic capabilities and technological uncertainty) in established relationships with the outcome – the level of digital maturity. It also provides implications for the digital transformation of manufacturing SMEs.
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Introduction/background: The issue of employee motivation in project teams is one of the key challenges that arise in the project management process, as the success of a project largely depends on the level of employee engagement. Creating an effective incentive system that increases the level of employee commitment to projects every day is key to the success of the company. However, this is not an easy process, as the recipe for the right motivation methods that employees would be fully satisfied with does not exist. Aim of the paper: The aim of the paper was to identify and evaluate the incentive system in project management carried out on the example of a selected multinational manufacturing company producing industrial automation. Materials and methods: The research tool was a survey questionnaire consisting of six metric questions to clarify the socio-demographic characteristics of the respondents and fifteen closed questions relating to the incentive system of the company under study. The subject of the study was one of the world's largest automation and industrial IT companies. Results and conclusions: The results of the study made it possible to assess the effectiveness of the incentive system in the studied enterprise, to indicate the range of tools that managers can use to motivate members of project teams and to formulate recommendations or recommendations for the studied enterprise.
EN
Introduction/background: Although internationalization is crucial for SMEs' development little research exists on the relationship between the attributes that create corporate global mindset, and their effects on companies’ internationalization. While existing research focuses on the isolated analysis of single factors, this paper introduces a set-theoretic approach, investigating interdependencies of complementarity, efficiency, and novelty among the various factors making up corporate global mindset. Aim of the paper: The study's objectives are to: (1) identify attributes (business postures) relating to corporate global mindset; and (2) identify and evaluate the combinations of corporate global mindset attributes that lead to internationalization behavior. Materials and methods: This study performs a fuzzy-set qualitative comparative analysis (fs/QCA) to analyze how corporate global mindset relates to SMEs internationalization. The sample consists of 73 Polish SMEs. Results and conclusions: This study confirms that four different combinations of corporate global mindset attributes can lead to the same outcome – the high degree of internationalization. This research lies in providing an understanding of how different solutions can lead to the same result. This insight is helpful in gaining a deeper understanding of firms’ internationalization.
EN
Purpose: This study focuses on the causal mechanisms by which a series of organizational factors like commitment, communication, experience, dependence and trust collectively affect on the success of science-industry R&D cooperation. The purpose of this paper is to identify multiple paths of complex causal recipes that can lead to success of science-industry R&D cooperation. Design/methodology/approach: The study uses fuzzy-set qualitative comparative analysis (fsQCA), a technique that provides a holistic view of the examined interrelationships, compared to traditional net effect approaches that assume symmetric and linear relationships among variables. Findings: Results indicate that different causal paths, exactly five configurations, explain success R&D contracts. Particularly, the findings reveal that the availability of commitment and communication are important, sufficient conditions because they appear in at least three of the five configurations that result from the analysis. In this way, a series of conclusions and implications have been obtained that can be very useful, both in the academic world and when trying to lead and manage cooperation agreements. Research implications: A comprehensive theoretical model was developed and tested that identifies the organizational factors of the success of science-industry R&D cooperation. The presented model and comprehensive research using fs/QCA allows to overcome the fragmentation of this specialized literature. Practical implications: The results contain a number of practical recommendations that can be useful in the conduct and management of cooperation agreements. During the establishing and developing contract stages, it is recommended to design managerial and organizational mechanisms that ensure a high degree of commitment and communication in combination with experience (configuration number 1) and/or with dependences (configuration number 4). Originality/value: Vital value of this paper is the use of fs/QCA, a technique that is an important novelty, at least in the field of R&D cooperation relationships between companies and research organizations. This method allows testing the configuration of conditions in relation to a specific outcome (e.g. success of science-industry R&D cooperation) in a way that is not possible using a linear additive approach.
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This study examines the different contextual factors (previous cooperative experiences, the partners’ reputation, attraction capacity, a clear definition of objectives, proximity between partners and institutionalization) that, according to the literature, affect the performance of science-industry R&D partnerships. These factors are the preconditions of the contract that are the reference framework in which future relations between the partners are planned. The purpose of this paper is to discuss these factors and to present a causal model to explain how these contextual factors lead to the success of science-industry R&D cooperation. The analysis uses fs/QCA methodology, which allows identifying a combination of causes that lead to the outcome. Results support the argument that different causal paths (combinations of contextual factors) explain profitable R&D contracts.
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In this study the impact of selected organizational characteristics on R&D projects performance were analyzed. The data for the empirical analysis come from a survey of 131 R&D projects across 53 high-tech business units. This study employs a configurational approach, using fuzzy set Qualitative Comparative Analysis (fs/QCA), to analyze the combination of structural differentiation, innovation strategy, cooperation with stakeholders, and project team autonomy with the performance of R&D projects. The results suggest that no single organizational characteristic is crucial to ensure the success of R&D projects but three causality paths lead to that outcome. Because of significant interdependencies, the main organizational characteristic contributing to the success of R&D projects in the high-tech company concern innovation strategy in connection with either cooperation with stakeholders or project team autonomy or structural differentiation.
EN
The issue of business models is a current and more and more deeply analysed field of scientific research. However, despite the requirements of a solid and comprehensive research approach, capable of capturing the multidimensionality of business models, there is a continuous dissatisfaction with the conducted empirical research in this area. The aim of the article is to present the possibility of using the configurational approach and fuzzy set qualitative comparative analysis (fs/QCA) to business models research, which enables to conduct comprehensive, integrated analyses. The research was conducted on the basis of a group of 53 enterprises classified in the high-tech sector. The research provided an insight into the key and auxiliary elements of the selected business models, and the methods of their mutual interaction in the context of the configuration of these elements were monitored, at the same time providing insight into the equifinality of the configuration. The results may form the basis for a deeper discussion on the definition of business models and their core components.
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