scholarly journals Environmental uncertainty, resource orchestration and digital transformation: A fuzzy-set QCA approach

2022 ◽  
Vol 139 ◽  
pp. 184-193
Author(s):  
Hansong Chen ◽  
Zhen Tian
Keyword(s):  
Fuzzy Set ◽  
Environmental Uncertainty ◽  
Digital Transformation ◽  
Resource Orchestration

scholarly journals The Relationship between Environmental Uncertainty and Enterprise Performance. A Fuzzy-Set Analysis

2018 ◽  
Vol 1 (1) ◽  
pp. 809-816
Author(s):  
Anna Kwiotkowska ◽  
Magdalena Gębczyńska
Keyword(s):  
Comparative Analysis ◽  
Firm Performance ◽  
Fuzzy Set ◽  
Small And Medium Enterprises ◽  
Qualitative Comparative Analysis ◽  
Environmental Uncertainty ◽  
Business Environment ◽  
Market Demand ◽  
General Business ◽  
The Relationship

Abstract The purpose of this paper is to explore causal complexity in the relationship between environmental uncertainty and firm’s performance. Due to complexity in the external and internal environment, the relationship between environment and firm performance rests not only on a single attribute but on the interrelation and complementarities between multiple characteristics such as firm features and external factors. This study examines the influence of a firm’s specific characteristics and the dimensions of environmental uncertainty on the company’s performance. Fuzzy-set qualitative comparative analysis is used to analyze data collected via questionnaires from 58 Polish small and medium enterprises (SMEs). The results suggest that characteristics of the general business environment, as well as the firm-specific characteristics all matter to firm performance. In addition, our findings clearly demonstrate that the determination of high firm performance is underpinned by substantial interdependence among the selected conditions and complexity. Therefore, any particular condition may have a different or even opposite effect on the outcome depending on the presence or absence of other conditions. Based on this, we conclude that external environmental uncertainty characteristics, with the dimensions of competitive intensity, technological turbulence and market/demand turbulence, are not as important as the other conditions for high-performing firms. The study offers a new perspective on the relationship between environmental uncertainty and firm performance with its systematic comparative analysis of complex cases. It identifies different combinations of conditions (paths) leading to a high firm performance.

scholarly journals A framework of digitalization: Insights based on resource orchestration theory for digital transformation of traditional retailers

2020 ◽  
Vol 16 (1) ◽  
pp. 2260-2271
Author(s):  
Huang Qiu Bo ◽  
Dong Zi Guang ◽  
Jiang Yun Feng
Keyword(s):  
Organizational Structure ◽  
Human Resource ◽  
Digital Transformation ◽  
Store Brand ◽  
Resource Orchestration ◽  
Ecological Relationship ◽  
Home Appliance ◽  
Procedural Strategy ◽  
Retail Enterprise

The purpose of this article is to explore how traditional retailers implement overall organization digitalization. A cross-case study based on grounded theory was conducted across four traditional retail enterprise cases, respectively from comprehensive supermarket, department store, brand exclusive chain and home appliance chain. Four digitalization tactics dimensions were obtained: physical resource orchestration, human resource orchestration, organizational structure orchestration and ecological relationship orchestration; two digital competition strategies were distinguished: conservative and offensive strategy. Thereby, based on the resource orchestration theory, a procedural strategy framework was developed, which can be used to guide the implementation of digitalization.

scholarly journals The Impact of Information Technology Capabilities of Manufacturing Enterprises on Innovation Performance: Evidences from SEM and fsQCA

2019 ◽  
Vol 11 (21) ◽  
pp. 5946 ◽  
Author(s):  
Yizhou Chu ◽  
Maomao Chi ◽  
Weijun Wang ◽  
Bo Luo
Keyword(s):  
Information Technology ◽  
Comparative Analysis ◽  
Fuzzy Set ◽  
Product Innovation ◽  
Qualitative Comparative Analysis ◽  
Process Innovation ◽  
Digital Transformation ◽  
Innovation Performance ◽  
Manufacturing Enterprises ◽  
It Capabilities

With the development of national strategies (such as Industrial 4.0 and Made in China 2025), how to build digital enterprises and cultivate innovation capabilities of enterprises has become a critical problem to Chinese manufacturing enterprises. However, the literature on the specific path of information technology (IT) capabilities to the innovation of enterprises is still lacking a body of relevant empirical research. In particular, it has not yet thought to explore the information technology capabilities, digital transformation, and then innovation performance of manufacturing enterprises. By performing a questionnaire investigation for 138 Chinese manufacturing enterprises, this study adopted both a fuzzy-set qualitative comparative analysis (fsQCA) and structural equation modeling (SEM) to explore the set relations of the conjunctions and conditions and the statistical associations by studying the relationships among information technology capabilities, digital transformation and innovation performance. The results show that the positive impacts of information technology capabilities on the process innovation performance and the digital transformation, as well as the positive impacts of digital transformation on both process innovation performance and product innovation performance. Specifically, digital transformation takes on a new function of partial mediation of IT capabilities and process innovation performance, and digital transformation functions as a complete mediator for IT capabilities and product innovation performance. The combinations of causal recipes related to innovation performance are provided by a fuzzy-set qualitative comparative analysis (fsQCA). Through the analyses of SEM and fsQCA, this research develops the formation mechanisms of both process innovation performance and product innovation performance, and provides guidance for both IT and innovation management of manufacturing enterprises in China.

Adaptive capacity configurations for the digital transformation: a fuzzy-set analysis of Chinese manufacturing firms

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jian Liu ◽  
Wei Yang ◽  
Wan Liu
Keyword(s):  
Adaptive Capacity ◽  
Fuzzy Set ◽  
Qualitative Comparative Analysis ◽  
Digital Transformation ◽  
Environmental Scanning ◽  
Business World ◽  
Content Type ◽  
Manufacturing Enterprises ◽  
Digital World ◽  
The Impact

PurposeEmerging in recent years, digital transformation has become an effective approach for firms to remain competitive in the digital economy. Although this trend has received increasing interest in the business world, there remains a lack of empirical research on the organizational capacities that facilitate digital transformation. To fill this research gap, we investigate the relationship between adaptive capacity configuration and the performance of digital transformation.Design/methodology/approachWe use fuzzy-set qualitative comparative analysis (fsQCA) to identify the impact of adaptive capacity on the digital transformation performance of 38 firms in the household appliance manufacturing, light manufacturing and clothing manufacturing industries (HAMI, LMI, CMI).FindingsOur analysis reveals a Technology-driven transformation configuration for the HAMI, a Market-driven transformation configuration for the LMI and a Market and Management-driven transformation configuration for the CMI, as well as identifies environment scanning capacity as a common basic adaptive capacity. The first configuration is rooted in the innovation mechanism, and the last two configurations are rooted in the integration mechanism.Practical implicationsEnterprises in different industries with unique technology levels require distinctive capacity configurations to implement digital transformation. Each dimension of adaptive capacity plays a particular role in each industry. Environmental scanning capacity requires firms to be agile in their interactions with the digital world and to collect information about the environment.Originality/valueThis study enriches and expands the dimensions of adaptive capacity, and we provide a perspective for researching the digital transformation of manufacturing enterprises through adaptive capability configuration.

Is Psychology a Science or a Fuzzy Set?

1978 ◽  
Vol 23 (5) ◽  
pp. 319-320
Author(s):  
LEWIS WOLFGANG BRANDT
Keyword(s):  
Fuzzy Set

HIMSS Impact18: Leading Digital Transformation und Big Data in Medicine

2018 ◽  
Vol 23 (09) ◽  
pp. 25-25
Author(s):  
Sabine Schützmann
Keyword(s):  
Big Data ◽  
Digital Transformation

Am 17. und 18. Oktober findet im Hasso-Plattner-Institut (HPI) in Potsdam zum zweiten Mal die HIMSS Impact statt: Ein englischsprachiges Symposium, welches aktuelle Trends im Gesundheitswesen, digitale Strategien und jüngste Forschungserkenntnisse beleuchtet.

Methodology of ECG Interpretation in the Padova Program

1990 ◽  
Vol 29 (04) ◽  
pp. 386-392 ◽  
Author(s):  
R. Degani ◽  
G. Bortolan
Keyword(s):  
Decision Making ◽  
Medical School ◽  
Fuzzy Set ◽  
Medical Knowledge ◽  
Main Aspect ◽  
Measurement Evaluation ◽  
Possibility Distributions ◽  
Linguistic Decision Making ◽  
The University ◽  
Ecg Interpretation

AbstractThe main lines ofthe program designed for the interpretation of ECGs, developed in Padova by LADSEB-CNR with the cooperation of the Medical School of the University of Padova are described. In particular, the strategies used for (i) morphology recognition, (ii) measurement evaluation, and (iii) linguistic decision making are illustrated. The main aspect which discerns this program in comparison with other approaches to computerized electrocardiography is its ability of managing the imprecision in both the measurements and the medical knowledge through the use of fuzzy-set methodologies. So-called possibility distributions are used to represent ill-defined parameters as well as threshold limits for diagnostic criteria. In this way, smooth conclusions are derived when the evidence does not support a crisp decision. The influence of the CSE project on the evolution of the Padova program is illustrated.

An old friend is better than two new ones? Approaches to market research in the context of digital transformation for the antitrust laws enforcement

2020 ◽  
pp. 37-55 ◽  
Author(s):  
A. E. Shastitko ◽  
O. A. Markova
Keyword(s):  
Business Models ◽  
Rapid Development ◽  
Digital Transformation ◽  
Market Definition ◽  
Type I ◽  
Type Ii ◽  
Digital Platforms ◽  
Advantages And Disadvantages ◽  
Pass Through ◽  
Type Ii Errors

Digital transformation has led to changes in business models of traditional players in the existing markets. What is more, new entrants and new markets appeared, in particular platforms and multisided markets. The emergence and rapid development of platforms are caused primarily by the existence of so called indirect network externalities. Regarding to this, a question arises of whether the existing instruments of competition law enforcement and market analysis are still relevant when analyzing markets with digital platforms? This paper aims at discussing advantages and disadvantages of using various tools to define markets with platforms. In particular, we define the features of the SSNIP test when being applyed to markets with platforms. Furthermore, we analyze adjustment in tests for platform market definition in terms of possible type I and type II errors. All in all, it turns out that to reduce the likelihood of type I and type II errors while applying market definition technique to markets with platforms one should consider the type of platform analyzed: transaction platforms without pass-through and non-transaction matching platforms should be tackled as players in a multisided market, whereas non-transaction platforms should be analyzed as players in several interrelated markets. However, if the platform is allowed to adjust prices, there emerges additional challenge that the regulator and companies may manipulate the results of SSNIP test by applying different models of competition.

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