Interpreting simultaneous use of an existing technology and its replacement innovation

McNeish, Joanne; Hazra, Ummaha

doi:10.1504/ijtmkt.2014.065380

Cited by 5 publications

(6 citation statements)

References 44 publications

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“…In this situation, the innovation process has been industrialised by assigning more people to the many small steps and project activities (Williamson and Yin, 2014). The total outlays for a given project can nonetheless be reduced, as these people are less highly trained than traditional R&D staff and are generally therefore paid less (McNeish and Hazra, 2014). Big data plays a significant role.…”

Section: Accelerated Processmentioning

confidence: 99%

A big data framework for facilitating product innovation processes

Zhan

Tan

et al. 2017

BPMJ

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Purpose-This paper suggests how firms could use big data to facilitate the product innovation processes, by shortening the time to market, improving customers' product adoption and reducing costs. Design/methodology/approach-Our research is based on a two-step approach. First, this research summarised and identified four potential key success factors for organisations to integrate big data in accelerating their product innovation processes. The proposed factors were further examined and developed by conducting interviews with different organisation experts and academic researchers. Then, a framework was developed based on the interview outputs. The framework sets out the key success factors involved in leveraging big data to reduce lead times and costs in product innovation processes. Findings-The three determined key success factors are: a) Accelerated innovation process; b) Customer connection; and c) Ecosystem of innovation. The developed framework based on big data we believe represents a paradigm shift. It can help firms to make new product development dramatically faster and less costly. Research limitations/implications-The proposed accelerated innovation processes demands a shift in traditional organisational culture and practices. It is, though, meaningful only for products and services with short product life cycles. Moreover, the framework has not yet been widely tested. Practical implications-This paper points to the vital role of big data in helping firms to accelerate product innovation processes. First of all, it allows organisations to launch new products to market as quickly as possible. Secondly, it helps organisations to determine the weaknesses of the product earlier in the development cycle. Thirdly, it allows functionalities to be added to a product that customers are willing to pay a premium for, while eliminating features they don't want. Last but not least, it identifies and then prioritises customer needs for specific markets. Originality/value-The research shows that firms could harvest external knowledge and import ideas across organisational boundaries. An accelerated innovation processes based on Page 1 of 28 Business Process Management Journal 2 big data is characterised by a multidimensional process involving intelligence efforts, relentless data collection and flexible working relationships with team members.

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Section: Accelerated Processmentioning

confidence: 99%

A big data framework for facilitating product innovation processes

Zhan

Tan

et al. 2017

BPMJ

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“…Studies investigating the reluctance of readers and university students to give up paper books even though they had adopted e-books found that the factors that influence resistance to giving up an incumbent technology are different than those that influence adoption or non-adoption. A key conclusion of these studies was that readers want to use both technologies to realize the benefits available in each of them (McNeish et al , 2014; McNeish and Hazra, 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Using the model developed by Rafaeli and Vilnai-Yavetz (2004), paper books were found to be multi-dimensional artefacts with three dimensions (Aesthetic, Symbolism and Instrumentality). However, e-books were limited to being digital objects with only one dimension, Instrumentality (McNeish and Hazra, 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

“…An artefact contributes to the goal of a task through the dimension of Instrumentality (Gibson, 1979). Three factors were useful in explaining simultaneous use of, and differentiating between paper and e-books: Redundancy, Permanence and Facilitates Work Process (McNeish and Hazra, 2014). The authors believe that Redundancy and Permanence will prove useful in this study; however, Facilities Work Process is problematic.…”

Section: Instrumentalitymentioning

confidence: 99%

“…Users expressed an uncertainty about the underlying product in the context of e-books. They were unsure whether it was the format, the device or the content that constituted an e-book (McNeish and Hazra, 2014). Ambiguity about Task-Technology Fit may be a more useful factor in this study, as it has been used to explain the lag in adoption of software applications and hardware devices among non-adopters (Goodhue and Thompson, 1995).…”

Section: Instrumentalitymentioning

confidence: 99%

See 2 more Smart Citations

Investigating consumers’ reluctance to give up local hard drives after adopting the Cloud

McNeish

Francescucci

Hazra

2016

JICES

Self Cite

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Purpose The next phase of hardware technology development is focused on alternative ways to manage and store consumers’ personal content. However, even consumers who have adopted Cloud-based services have demonstrated a reluctance to move all of their personal content into the Cloud and continue to resist giving up local hard drives. This paper aims to investigate the characteristics of local hard drives and the Cloud that lead to simultaneous use. Design/methodology/approach This paper uses content analysis of online comments and ten depth interviews with simultaneous users of local hard drives and the Cloud. Findings Three factors influence the resistance to giving up local hard drives. Simultaneous users utilize local hard drives as a redundancy system and as a way to ensure the permanence of their digital content. They are unsure of the Cloud’s ability to support their content creation, management and storage activities (task-technology fit). Research limitations/implications Study findings are based on qualitative methods and thus the results cannot be considered conclusive. Practical implications The authors speculate that it is unlikely that Cloud-only will fully replace hard drives until these factors are understood and addressed by information technology developers. Cloud service providers may not be aware of how little that users understand the Cloud. In contrast to their certainty and confidence in local hard drives, simultaneous users are confused as to what the Cloud is and how it functions. This uncertainty exacerbates their risk perception and need for control. Originality/value This is the first study exploring simultaneous use of local hard drives and the Cloud with a view to understanding this behaviour in terms of the relative advantage of the incumbent technology over the new technology.

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Integrating Information Technology and Marketing to increase e-Book consumption

Liao

Liu²

2022

Electron Commer Res

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Interpreting simultaneous use of an existing technology and its replacement innovation

Cited by 5 publications

References 44 publications

A big data framework for facilitating product innovation processes

A big data framework for facilitating product innovation processes

Investigating consumers’ reluctance to give up local hard drives after adopting the Cloud

Integrating Information Technology and Marketing to increase e-Book consumption

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