Consumer adoption of technological innovations

Sääksjärvi, Maria

doi:10.1108/14601060310475246

Cited by 89 publications

(61 citation statements)

References 48 publications

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“…Rogers (1976) has provided a classification of adopters in terms of innovators, early adopters, early majority, late majority and laggards. But now consumers are also looking into the compatibility of the new products to their self-image and life style (Saaksjarvi, 2003). Funk and Ndubisi (2006) observed a considerable association between color and the choice of an automobile.…”

Section: Literature Reviewmentioning

confidence: 99%

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Mobile Handset Buying Behavior of Different Age and Gender Groups

Singh¹,

Goyal²

2009

IJBM

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The prime objective of the study was to understand the variation in the importance given by different age and gender groups to the select factors while buying mobile handsets in India. The study concludes that the mobile handset users of age group of 18-30 years are less price sensitive than consumers of other groups; rather they consider 'physical appearance', 'brand', 'value added features', and 'core technical features' more important than users of any other age groups. On the contrary, the consumers of age group 50 years and above have given greater importance to 'price' than consumers of other age groups. There were significant differences between different age groups as regards to the importance given to all the factors except 'post -purchase services'. The difference was highest for the 'brand' closely followed by 'core technical features' of the handset. Gender differences have also existed for these factors.

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Section: Literature Reviewmentioning

confidence: 99%

“…Technological innovations such as cellular phones and digital televisions have attracted the attention of marketing researchers as regards to their adoption process (Saaksjarvi, 2003). Rogers (1976) has provided a classification of adopters in terms of innovators, early adopters, early majority, late majority and laggards.…”

Section: Literature Reviewmentioning

confidence: 99%

Mobile Handset Buying Behavior of Different Age and Gender Groups

Singh¹,

Goyal²

2009

IJBM

View full text Add to dashboard Cite

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“…Based on the effect on behavior and social structure, Saaksjarvi (2003) categorizes innovations into continuous (a slight modifications to current products and/or services), dynamically continuous (the creation of a new product or service or modifications to existing ones), and discontinuous (the creation of previously unknown products that typically require a significant amount of new learning). Avermaete, Viaene, Morgan and Crawford (2003) on the other hand, categorize innovation into various classifications, which include: product innovation (good, service and idea); process innovation (technology and infrastructure); organizational innovation (marketing, purchasing and sales, administration, management and staff policy); and lastly market innovation (exploitation of territorial areas and penetration of market segments).…”

Section: Innovationmentioning

confidence: 99%

Innovation in Realizing Quality of Production in Malaysia

Sidin¹,

Sham²

2014

ASS

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This study is about Malaysia, innovation in its manufacturing industry. The purpose of this paper is to explore the relationship between innovation practices and quality of production in Malaysia's manufacturing companies based on a questionnaire survey sent via mail. The relationships theoretical model among the constructs of innovation practices and quality of production were proposed and tested using multi-regression analysis. Analysis of the data in this study supports a strong positive relationship between innovation practices and quality of production which was consistent as claimed in the previous studies. The findings of the study will further contribute and strengthen to previous literature in several ways.

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“…Robertson (1976) classifies innovations based on their impact on behavior and social structure into or mobile phones (2.5G/3G Mobile phone). The innovation classification scheme is of importance when considering adoption behavior since the innovation type will directly affect the level of consumer or society's interest and the kind of knowledge that is transferred to the new products/services (Saaksjarvi, 2003). Hirschman (1980) suggests that consumers have difficulty in following changes when innovation is introduced before consumers are ready.…”

Section: Research Backgroundmentioning

confidence: 99%

“…Among them, prior experience with the Internet had the strongest influence. Saaksjarvi (2003), by studying the interaction between consumers' knowledge and compatibility, found four adopter groups: technovators, supplemental experts, novices, and core experts.…”

Section: Rogers' Theorymentioning

confidence: 99%

Consumer's adoption of the technology innovations : the role of coping strategies

Bao¹

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Consumer's Adoption of Technology Innovations:The Role of Coping Strategies by BAO Wenjing Master of PhilosophyGiven the accelerated technology innovations and shorter product lifecycles, explaining and predicting consumers' adoption of technology innovations have been increasingly difficult. With new generations of the same products emerging every few years or less, consumers often face the dilemma of choosing between continuing to use the existing product and upgrading to a new version, and have increasingly experienced a certain level of technology fatigue. They may delay the adoption, frog-leap the new product, and simply ignore its existence. Thus, the traditional models of adoption based on product attributes and consumer innovativeness can no longer accommodate these new realities. Based on the concepts of uncertainty and paradoxes associated with new technologies, this study proposes a modified technology adoption model (TAM) by incorporating the concept of coping strategies, which include ignoring, rejecting, delaying, extended decision making, and pretesting.First, this study defines the concept of coping strategies and their measurements and specifies a revised TAM. Based on a survey of 219 consumers regarding the adoption of 3G mobile services in Hong Kong, the construct validity and external validity of coping is tested using confirmatory factor analysis and multiple regression. Using structural equation modeling, the study finds that consumer' coping strategy is a significant predictor of their perceptions of product, which in turn affect consumer's adoption decision. Moreover, the profiles of consumers enacting different coping strategies are delineated. The proposed model in this research provides more coherent explanations of consumers' adoption decision process, can help build more accurate forecasting models, and furnish meaningful implications of marketing technology products to today's tech-savvy and tech-weary consumers.I declare that this is an original work based primarily on my own research, and I warrant that all citations of previous research, published or unpublished, have been duly acknowledged. In my thesis, I first articulated the paradoxes caused by uncertainties of technology innovation, and these paradoxes would cause stress to consumers. Then, I brought the "techno-stress" proposed by Brod, (1984) into my research, and explained why consumers feel "techno-stress" from two perspectives: in their working settings and personal settings. There are mainly three reasons why new technology products would cause stress: 1) most technology products are complex and require a lot of consumer learning; 2) social influences such as peers and influx of advertisements influences propel consumers to adopt, regardless of their own willingness. 3) consumers' inability to adapt to technology innovations.Following your suggestions, I added an example (p29, para. 2) to discuss new technology products would cause stress in the working place. Also, consumers not only have to face compulsory i...

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Consumer adoption of technological innovations

Cited by 89 publications

References 48 publications

Mobile Handset Buying Behavior of Different Age and Gender Groups

Mobile Handset Buying Behavior of Different Age and Gender Groups

Innovation in Realizing Quality of Production in Malaysia

Consumer's adoption of the technology innovations : the role of coping strategies

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