Resumo

Título do Artigo

INNOVATIVE BEHAVIORS CREATING BETTER RESPONSES TO CHANGE: A PERSPECTIVE OF BEHAVIORAL INFLUENCES
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Palavras Chave

Collaboration
Experimentation
Innovative Behaviors Performance

Área

Gestão da Inovação

Tema

Dimensões Criativas, Comportamentais e Culturais da Inovação

Autores

Nome
1 - Angelica Pigola
UNIVERSIDADE NOVE DE JULHO (UNINOVE) - Memorial - Barra Funda
2 - Eliane Martins de Paiva
UNIVERSIDADE FEDERAL DA PARAÍBA (UFPB) - Departamento de Ciências Sociais Aplicadas
3 - Priscila Rezende da Costa
UNIVERSIDADE NOVE DE JULHO (UNINOVE) - PPGA

Reumo

Innovative behavior refers to pioneering behaviors and initiatives to discover opportunities for innovation (Rauch et al., 2009; Segarra-Ciprés et al., 2019), particularly in dynamic technological environments, where pressures for innovative ideas are crucial for business development. According to (Segarra-Ciprés et al., 2019), despite of innovative behaviors benefits for both individuals and firms, several questions still remain unanswered regarding behaviors that affect positively on innovations.
An interconnection among innovative behaviors is a promise field, not explored yet, for the sake of understanding innovation within firms and delve deeper into the role of employees' innovative behaviors (Rigtering & Weitzel, 2013) that lead to a better contribution to innovation performance (Segarra-Ciprés et al., 2019). Therefore, this study concerns the literature about innovative behaviors and their relationships, perspectives, and influences
Prior research has investigated how numerous factors shaped innovative behavior. For example, one stream has investigated individual factors such as self-efficacy (Nisula & Kianto, 2016), motivations (Chiu, 2018), work ethics (Mussner et al., 2017), and employees attitudes (Arshad et al., 2020; Lichtenthaler, 2020). Others have investigated intra-organizational or contextual factors such as job design (Dorenbosch et al., 2005), leadership style (Norouzinik et al., 2021; Schiuma et al., 2021), organizational conflicts (Schweisfurth & Raasch, 2020), culture ((Tsegaye et al., 2019) among others.
Based on the conceptual model and hypotheses proposals, the analysis identified a relationship among the constructs to improve the explanation and predictive power of the proposed model by a structural equation modeling (PLS-SEM) adoption (Hair et al., 2009), as it is the most appropriate method to deal with formative variables. This study explores as of a sample of 106 leaders from a Brazilian e-commerce firm in merger process, how innovative behaviors affect an environment of technologies integration, considered as innovative by the firm.
Findings reveal that only collaboration-oriented behaviors have a positive mediation impact between innovative ideas and innovation-performance oriented behaviors. Experimentation-oriented behaviors have no significant impact as mediators on innovation-performance oriented behaviors neither as influencers on collaboration-oriented behaviors. Innovative ideas have positive direct impact on innovation-performance oriented behaviors, but not significantly.
Collaboration and experimentation-oriented behaviors have explored separately, and this distinction is also important for innovation theory and for firms by showing how two specific types of behaviors differently correlated are related to innovation-performance oriented behaviors.
Abstein, A., & Spieth, P. (2014). Exploring HRM Meta-Features that Foster Employees’ Innovative Work Behaviour in Times of Increasing Work-Life Conflict: Innovative Work Behaviour and Work-Life Conflict. Creativity and Innovation Management, 23(2), 211–225. https://doi.org/10.1111/caim.12053 Aguirre-Urreta, M. I., & Hu, J. (2019). Detecting Common Method Bias: Performance of the Harman’s Single-Factor Test. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 50(2), 45–70. https://doi.org/10.1145/3330472.3330477