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In a fast-paced and hypercompetitive environment, organizational members are awash with paradoxes where they are forced to accomplish opposing goals simultaneously (“both/and”) instead of choosing one over the other (“either/or”). The literature has acknowledged paradox as a common type of contradiction in managing information and information technology (IT), but few studies have investigated how individuals can leverage paradoxical tensions. Drawing upon paradox theory, this study develops a research model that embodies a “both/and” paradigm in paradoxical tensions via analytical alignment, a paradox mindset and resilience under environmental dynamism.

This study examines the research model using hierarchical regression analysis with 308 analytics experts.

Empirical results find that the alignment of analytical technology and data-driven culture (AT-2DC) has a positive effect on a paradox mindset. Results also show that a paradox mindset has a positive influence on resilience. AT-2DC alignment also mediates the relationship between paradox mindset and resilience. In addition, AT-2DC alignment is more critical to a paradox mindset under a high level of environmental dynamism.

This study sheds light on how individuals can leverage paradoxical tensions with a “both/and” perspective and stay resilient when managing opposing demands and changes.

This research aimed to conceptualize organizations as open and purposeful systems to study how organizational culture (OC) influences firms' Innovative Performance (IP). The authors proposed goal setting and internal integration/external adaptation paradox as central to explaining OC's mediating and suppressing effects on IP.

The authors collected data from 372 Costa Rican organizations and analyzed them with structural equations. This research used the Denison Model instead of the usual typology-based approaches.

The mission had a direct and high impact on IP. The mediated effect via adaptability was also elevated, as well as the suppressor effect through consistency. There was no effect on IP of involvement. According to these results, the Open and Rational Systems Framework emerge as the main theoretical explanatory concepts.

Disaggregating the OC through a performance-oriented dimensional model makes it possible to study the dynamics between the elements that compound it and facilitate integrating these findings with other research streams.

The fresh food supply chain industry faces significant challenges in risk management because of the complexity, immature development and unpredictable external environment of imported fresh food supply chains (IFFSCs). This study aims to identify specific risk factors in IFFSCs, demonstrate how these risks are transmitted within the system and provide an analytical framework for managing these risks.

A total of 15 risk factors for IFFSCs through extensive literature review and expert consultation are identified and classified into seven levels using interpretive structural modeling (ISM) to demonstrate the risk transmission path. Fuzzy Matrice d’Impacts Croises-Multiplication Appliance Classement (MICMAC) analysis is then used to analyze the role of each factor.

The interactions of the 15 identified risk factors of IFFSCs, classified into seven levels, are visualized using ISM. The fuzzy MICMAC analysis classifies the factors into four groups, namely, dependent, independent, linkage and autonomous factors, and identifies the relatively critical risk factors in the system.

The findings of this research provide a clear framework for enterprises operating in IFFSCs to understand the specific risks they may face and how these risks interact within the system. The fuzzy MICMAC analysis also classifies and highlights critical risk factors in the system to facilitate the formulation of appropriate mitigation measures.

This study provides enterprises in IFFSCs with a comprehensive understanding of how the risks can be effectively managed and a basis for further exploration. The theoretical model constructed is also a new effort to address the issues of risk in IFFSCs. The ISM and the fuzzy MICMAC analysis offer clear insights for researchers and enterprises to grasp complex concepts.