Management and forecast of dynamic customer needs: An artificial immune and neural system approach

Chong, Yih Tng; Chen, Chun‐Hsien

doi:10.1016/j.aei.2009.06.003

Cited by 40 publications

(18 citation statements)

References 53 publications

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“…In addition, service firms are constantly seeking to provide better quality services and to create new markets by relying on innovation (Berry et al 2006). Recent changes in service innovation have arisen for reasons related to the diversification of customer needs, trends in convergence services, and the increased competition and international specialization caused by globalization (Chong and Chen 2010;Redondo-Cano and Canet-Giner 2010). Thus, service firms should focus on the interactions with their external environments as a critical factor for the access, acquisition, and development of new ideas (Caloghirou et al 2004).…”

Section: Introductionmentioning

confidence: 99%

The impact of diversity of innovation channels on innovation performance in service firms

2011

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This study empirically analyzes the impact of the diversity of three channel types (the information search, technology acquisition, and collaboration channels) on four types of innovation (service, process, organization, and marketing) performance using data from a sample of service firms of the Korean innovation survey. The results of this study indicate that innovative service firms tend to rely heavily on the diversity of information search channels for all four types of innovation performance, while their reliance on the diversity of the technology acquisition channel and collaboration channel is considerably low. The results contribute to a deeper understanding of channel management strategies for better service performance.

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Section: Introductionmentioning

confidence: 99%

The impact of diversity of innovation channels on innovation performance in service firms

2011

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“…Service innovation plays a critical role in bringing competitive advantage under the severe competition circumstance with dynamic customer requirements in the services sector [34,6]. How enterprises develop new services is an important research topic in service innovation and service design [21,23,5].…”

Section: Introductionmentioning

confidence: 99%

Service design for intelligent parking based on theory of inventive problem solving and service blueprint

Lee

Wang

Trappey

2015

Advanced Engineering Informatics

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“…Many analytical models have been employed to forecast the dynamics of quality attributes. Some commonly adopted methods include statistical models, such as compositional double exponential smoothing method [11], fuzzy trend analysis [12] and artificial intelligence (AI) models [13]. Different models have different requirements on the amount of historical data to be used, and the prediction accuracy depends on the property of the data.…”

Section: Introductionmentioning

confidence: 99%

Forecasting Service Quality Dynamics Based on Integrated Method with GM(1,1) Model and Markov Chain

2018

Teh. vjesn.

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Dynamics of quality attributes derived from Kano model has been recognized as one of the most interesting and fruitful developments of attractive quality theory. The purpose of this study is to propose an integrated method with GM(1,1) model and Markov chain to forecast the dynamics of service quality attributes with limited data and explore the existence of the alternative life cycles. Further, an empirical study of the express delivery industry in China is conducted at four points of time (the year of 2008, 2010, 2012, and 2013) to verify the feasibility of the method. This study not only provides a quantitative method for forecasting the dynamics of service quality attributes with limited information, but also gives evidence for the existence of alternative life cycles of service quality attributes.

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Management and forecast of dynamic customer needs: An artificial immune and neural system approach

Cited by 40 publications

References 53 publications

The impact of diversity of innovation channels on innovation performance in service firms

The impact of diversity of innovation channels on innovation performance in service firms

Service design for intelligent parking based on theory of inventive problem solving and service blueprint

Forecasting Service Quality Dynamics Based on Integrated Method with GM(1,1) Model and Markov Chain

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