Readily available digital technology;
FsQCA;
IT-enabled organizational capability;
Technology affordance theory;
Born-digital new ventures;
Digital entrepreneurship;
Academic entrepreneurship;
Retroductive theory building approach;
BIG DATA ANALYTICS;
QUALITATIVE COMPARATIVE-ANALYSIS;
SUSTAINED COMPETITIVE ADVANTAGE;
RESOURCE-BASED VIEW;
ENTREPRENEURIAL ORIENTATION;
DYNAMIC CAPABILITIES;
ORGANIZATIONAL AGILITY;
FIRM PERFORMANCE;
BUSINESS INTELLIGENCE;
ORGANIZING LOGIC;
D O I:
10.1016/j.ijinfomgt.2022.102572
中图分类号:
G25 [图书馆学、图书馆事业];
G35 [情报学、情报工作];
学科分类号:
1205 ;
120501 ;
摘要:
Despite significant business opportunities made possible through advancements in technology, readily available digital technologies are often overlooked and not used by new ventures. To address this knowledge gap, this paper looks at the relationships between readily available digital technologies and born-digital new venture capabilities. We use an affordance lens to explore conditions in which born-digital new ventures interact with digital technologies to actualize digital affordances that facilitate the development of important capabilities. First, using the existing literature, we present a research model and its key elements. Then, using data on new ventures in a Canadian university incubator, we conduct fuzzy-set qualitative comparative analysis (fsQCA) and develop seven configurational research propositions as pathways to develop information technology-enabled organizational capabilities in new ventures. Using this retroductive approach, this research builds a context -specific middle-range theory that explains complex interactions between readily available digital technologies and new venture characteristics, where resources are provided by incubators in dynamic environments, to facilitate the development of ITOCs in the new ventures. We close by describing the study's theoretical and practical implications.
机构:
Univ New S Wales, Sch Ind Relat & Organisat Behavior, Sydney, NSW 2052, AustraliaUniv New S Wales, Sch Ind Relat & Organisat Behavior, Sydney, NSW 2052, Australia
Schwarz, GM
Watson, BM
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机构:
Univ New S Wales, Sch Ind Relat & Organisat Behavior, Sydney, NSW 2052, AustraliaUniv New S Wales, Sch Ind Relat & Organisat Behavior, Sydney, NSW 2052, Australia