Advances in consumer innovation resistance research: A review and research agenda

Huang, Dan; Jin, Xin; Coghlan, Alexandra

doi:10.1016/j.techfore.2021.120594

Cited by 71 publications

(57 citation statements)

References 163 publications

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“…This study responds to the request for more research to find theoretical links (Magistretti et al , 2021b; Verganti et al , 2021), that support empirically design thinking (Jaskyte and Liedtka, 2022; Roth et al , 2020), a concept that is greatly diffused and relevant in practice, yet receives little scientific support (Dell'Era et al , 2020; Klenner et al , 2021). There is also a call for more studies on innovation resistance (Huang et al , 2021), particularly on passive innovation resistance (Ghazali et al , 2020) and to study cognitive and situational passive resistance separately (Koch et al , 2021).…”

Section: Discussionmentioning

confidence: 99%

Design thinking traits and cognitive passive resistance: mediating effect of linear thinking

Ospina

Sánchez

2022

MRR

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Purpose The purpose of this study is to theoretically link design thinking with behavioural strategy, using empirical results that relate three cognitive dimensions: design thinking personality traits, cognitive passive resistance and linear thinking, and, consequently, determine: if there is a negative relationship between design thinking traits and cognitive passive resistance and if this relationship is mediated by linear thinking. Design/methodology/approach This study used a quantitative methodology of covariance-based structural equation modelling. The data were collected from a three-scale, self-completed questionnaire, which was constructed using the existing modelling of the academic literature. The questionnaire was validated by confirmatory factor analysis and applied to a sample of 342 professional engineering and business graduates in Colombia. Findings The results of the structural equation modelling demonstrate a negative relationship between design thinking traits and cognitive passive resistance, and this relationship is mediated by linear thinking. These findings link design thinking and behavioural strategy and build new foundations for future studies, providing further theoretical support to the academic literature’s discussion of the relationship between design thinking and theories of managerial practices and innovation management. Research limitations/implications The main limitation of this study is the subjectivity of the answers because of potential bias from the respondents in completing the questionnaire. Another limitation is that the research was conducted only in the context of Colombia, so it is recommended that other studies be carried to generalise the results. This study has several theoretical implications. This study contributes to existing research on design thinking, evidencing a promising field of study to support it theoretically, such as the behavioural strategy. This study also contributes to the literature on innovation management deepening into a field of study that has received less attention in the literature, such as passive cognitive resistance to innovation. Likewise, this study presents a theoretical contribution to the dual process of cognition, proposing a new dimension to the construction of the multidimensional concept of nonlinear thinking. This study also contributes to the behavioural strategy field, evidencing a growing area of application in strategic management, such as design thinking. Finally, this research also proposes the development of a new research avenue about the concept of knowledge hiding as a possible source of innovation resistance. Practical implications This research also has implications for business and engineering education and practice. This study’s results suggest that before implementing an organisational initiative such as design thinking, which seeks to change people's behaviour, it is necessary to approach it as a cognitive process and develop strategies to mitigate passive cognitive resistance to change. This research’s results also present implications for business and engineering education, evidencing the need to include other perspectives of thinking that allow non-designers to develop creative thinking. Originality/value To the best of the authors’ knowledge, this is the first quantitative study on design thinking as a business management concept using linear thinking of non-designers to relate design thinking traits with cognitive passive resistance. This research provides theoretical and empirical support for framing design thinking within the field of behavioural strategy.

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Section: Discussionmentioning

confidence: 99%

Design thinking traits and cognitive passive resistance: mediating effect of linear thinking

Ospina

Sánchez

2022

MRR

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“…The software combines information visualization methods, bibliometrics, and data mining algorithms in an interactive visualization tool for pattern extraction in citation data [158,62]. CiteSpace has been used in technological forecasting studies on many topics, from patents [159,160] to consumer innovation resistance [161]…”

Section: Methodsmentioning

confidence: 99%

Trends in Synthetic Biology in the Bioeconomy of Non-food-Competing Biofuels

Fantinel¹,

Margis²,

Talamini³

et al. 2021

Preprint

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Despite the acknowledged relevance of renewable energy sources, biofuel production supported by food-related agriculture has faced severe criticism. One way to minimize the considered negative impacts is the use of sources of non-food biomass or wastes. Synthetic biology (SB) embraces a promising complex of technologies for biofuel production from non-edible and sustainable raw materials. Therefore, it is pertinent to identify the global evolution of investments, concepts, and techniques underlying the field in support of policy formulations for sustainable bioenergy production. We mapped the SB scientific knowledge related to biofuels using software that combines information visualization methods, bibliometrics, and data mining algorithms. The United States and China have been the leading countries in developing SB technologies. Technical University of Denmark and Tsinghua University are the institutions with higher centrality and have played prominent roles besides UC-Los Angeles and Delft University Technology. We identified six knowledge clusters under the terms: versatile sugar dehydrogenase, redox balance principle, sesquiterpene production, Saccharomyces cerevisiae, recombinant xylose-fermenting strain, and Clostridium saccharoperbutylacetonicum N1-4. The emerging trends refer to specific microorganisms, processes, and products. Yarrowia lipolytica, Oleaginous yeast, E. coli, Klebsiella pneumoniae, Phaeodactylum tricornutum, and Microalgae are the most prominent microorganisms, mainly from the year 2016 onwards. Anaerobic digestion, synthetic promoters, and genetic analysis appear as the most relevant platforms of new processes. Improved biofuels, bioethanol, and N-butanol are at the frontier of the development of SB-derived products. Synthetic biology is a dynamic interdisciplinary field in environmentally friendly bioenergy production pushed by growing social concerns and the emergent bioeconomy.

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“…With the vigorous development of mobile technology, the practical connection between AI and mobile banking has been further strengthened, and research on the relationship between the two has become more valuable. Scholars have pointed out that AI, as a key aspect of mobile banking innovation (Huang et al. , 2021), can better develop users' experience and increase the efficiency of banking services, thereby creating deeper user relationships (Xing, 2017; Wang, 2017; Jiang, 2018; Manser Payne et al.…”

Section: Theoretical Background and Literature Reviewmentioning

confidence: 99%

“…Scholars have shown that resistance to innovation adoption stems mainly from functional and psychological perspectives (Ram and Sheth, 1989; Huang et al. , 2021).…”

Section: Theoretical Background and Literature Reviewmentioning

confidence: 99%

Exploring users' adoption intentions in the evolution of artificial intelligence mobile banking applications: the intelligent and anthropomorphic perspectives

Lee

Chen

2022

IJBM

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PurposeThe development of mobile technology has changed the traditional financial industry and banking sector. While traditional banks have adopted artificial intelligence (AI) techniques to deepen the development of mobile banking applications (apps), the current literature lacks research on the use of AI-based constructs to explore users' mobile banking app adoption intentions. To fill this gap, based on stimulus-organism-response (SOR) theory, two AI feature constructs as stimuli are considered, namely, perceived intelligence and anthropomorphism. This study then develops a research model to investigate how intelligence and anthropomorphism affect task-technology fit (TTF), perceived cost, perceived risk and trust (organism), which in turn influence users' AI mobile banking app adoption (response).Design/methodology/approachThis study used a convenience nonprobability sampling approach; a total of 451 responses were collected to examine the model. The partial least squares technique was utilized for data analysis.FindingsThe results show that intelligence and anthropomorphism increase users' willingness to adopt mobile banking apps through TTF and trust. However, higher levels of anthropomorphism enhance users' perceived cost. In addition, both intelligence and anthropomorphism have insignificant effects on perceived risk. The results provide theoretical contributions for AI-based mobile banking app adoption and offer practical guidance for bank planning to use AI to retain users.Originality/valueBased on SOR theory, this study reveals that as features, AI-enabled intelligence and anthropomorphism help us further understand users' perceptions regarding cost, risk, TTF and trust in the context of AI-enabled app adoption intentions.

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Advances in consumer innovation resistance research: A review and research agenda

Cited by 71 publications

References 163 publications

Design thinking traits and cognitive passive resistance: mediating effect of linear thinking

Design thinking traits and cognitive passive resistance: mediating effect of linear thinking

Trends in Synthetic Biology in the Bioeconomy of Non-food-Competing Biofuels

Exploring users' adoption intentions in the evolution of artificial intelligence mobile banking applications: the intelligent and anthropomorphic perspectives

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