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.

scholarly journals The influence of ethical judgements on acceptance and non-acceptance of wearables and insideables: Fuzzy set qualitative comparative analysis

2021 ◽  
Vol 67 ◽  
pp. 101689
Author(s):  
Jorge de Andrés-Sánchez ◽  
Mario Arias-Oliva ◽  
Jorge Pelegrín-Borondo ◽  
Ala’ Ali Mohammad Almahameed
Keyword(s):  
Comparative Analysis ◽  
Fuzzy Set ◽  
Qualitative Comparative Analysis

scholarly journals It takes two to tango: the interplay between decision logics, communication strategies and social media engagement in start-ups

2021 ◽  
Author(s):  
Christian Rudeloff ◽  
Stefanie Pakura ◽  
Fabian Eggers ◽  
Thomas Niemand
Keyword(s):  
Social Media ◽  
Comparative Analysis ◽  
Fuzzy Set ◽  
Exploratory Study ◽  
Communication Strategies ◽  
Qualitative Comparative Analysis ◽  
Communication Models ◽  
Social Media Engagement ◽  
Start Ups

AbstractThis manuscript analyzes start-ups’ usage of different communication strategies (information, response, involvement), their underlying decision logics (effectuation, causation, strategy absence) and respective social media success. A multitude of studies have been published on the decision logics of entrepreneurs as well as on different communication strategies. Decision logics and according strategies and actions are closely connected. Still, research on the interplay between the two areas is largely missing. This applies in particular to the effect of different decision logics and communication models on social media success. Through a combination of case studies with fuzzy-set Qualitative Comparative Analysis this exploratory study demonstrates that different combinations of causal and absence of strategy decision logics can be equally successful when it comes to social media engagement, whereas effectuation is detrimental for success. Furthermore, we find that two-way-communication is essential to create engagement, while information strategy alone cannot lead to social media success. This study provides new insights into the role of decision logics and connects effectuation theory with the communication literature, a field that has been dominated by causal approaches.

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