If at first you don't adopt - Investigating determinants of new product leapfrogging behavior
Bibliographic Data
| ID | 21401143 |
|---|---|
| Authors | Sven Heidenreich (0000-0003-2278-0610, Saarland University), Jan F Killmer (Saarland University), Jan A Millemann (0000-0002-5806-0263, Eindhoven University of Technology, corresponding author) |
| Year | 2022 |
| Volume | 176 |
| Pages | 121437 |
| Publication date | 2022-03-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technological Forecasting and Social Change (JOURNAL) |
| Journal identifiers | ISSN: 0040-1625 • E-ISSN: 1873-5509 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techfore.2021.121437 |
| OpenAlex | W4205865761 |
| Language | EN |
| Citations received | 6 |
| References cited | 60 |
In times of rapid technological advancements, consumers often reject new products as they intentionally postpone their adoption until significant technology improvements are available. This phenomenon is commonly called consumer leapfrogging behavior. While previous studies have found vast empirical evidence for the occurrence and detrimental effects of such behavior, only a few studies have focused on investigating the nature and determinants of consumer leapfrogging. Hence, this article systematically explores and empirically validates potential determinants of consumer leapfrogging behavior by applying a multimethod approach. First, we conducted a systematic literature review to summarize the current research. Second, we applied a qualitative study to identify potential reasons for consumer leapfrogging behavior. The results show that known theoretical rationales for innovation rejection behavior tied to active and passive innovation resistance do not comprehensively account for the complex psychological processes of this behavior. Consequently, we introduce a new construct called “leap disposition” to explain consumers’ disposition to reject a new product and instead wait for a superior subsequent product generation. Third, we empirically validate and quantify the relative importance of both established constructs (i.e., active and passive innovation resistance), as well as the newly introduced leap disposition, for leapfrogging behavior within a large-scale study
Business · Construct (python library) · Consumer behaviour · Economics · Industrial organization · Leapfrogging · Product (mathematics) · Scale (ratio) · Computer Science · Environmental Sustainability in Business · Innovation Diffusion and Forecasting · Marketing · Mathematics · Technology Adoption and User Behaviour
Deciphering the resistance behaviours towards mobile commerce applications
Technology-enabled cure and care
Institutional forces, leapfrogging effects, and innovation status
Customer agility and big data analytics in new product context
Drivers of pro-environmental behaviour
Why I wouldn't own an electric vehicle yet
Consumer Resistance to Innovations
Consumer adoption versus rejection decisions in seemingly similar service innovations
Resistance to change
Consumer resistance to innovation—a behavioral reasoning perspective
Innovation diffusion and new product growth models
Catch-up cycles and changes in industrial leadership
Market Orientation
On the evaluation of structural equation models
Common methods variance detection in business research
Common method biases in behavioral research
Common Method Bias in PLS-SEM
Structural Equation Models with Unobservable Variables and Measurement Error
Passive innovation resistance
Analysis and Interpretation of Qualitative Data in Consumer Research
Normative Influences on Impulsive Buying Behavior
Truly, Madly, Deeply
| Citations per year | 1.5 |
|---|---|
| Citation span | 2022 - 2026 (5) |
| Highly cited | No |