Smartphone Evolution and Reuse: Establishing a More Sustainable Model

Li, Xun; Ortiz, Pablo; Browne, Jeffrey; Franklin, Diana; Oliver, John; Geyer, Roland; Zhou, Yuanyuan; Chong, Frederic T.

doi:10.1109/icppw.2010.70

Cited by 29 publications

(21 citation statements)

References 3 publications

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“…Consumers also switched when the manufacturer/marketer concerned failed to provide the consumer with perceived product quality and customer satisfaction. Several authors [40,41,42] ascertained that, reference group or social factors is considered as a factors that influence consumer switching most in the mobile phone market.…”

Section: Reasons For Brand Switching Behaviourmentioning

confidence: 99%

Factors Influencing Brand Switching Behaviour of Mobile Phone Users and the Mediating Effect of Customer Satisfaction: A Literature Review

Garga

Maiyaki

Sagagi

2019

JESBS

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Mobile phone market is one of the most turbulent market environments today due to increased competition and change. Thus, it is of growing concern to look at consumer brand switching behaviour and shade light on the factors that influence the consumer switching between different brands of mobile phones. On this basis, this paper deals with consumers' brand switching behaviour of mobile phone by studying factors that influence consumers to change their mobile phones brand and the mediating effects of customer satisfaction. Using literature review, it was found that although the purchase of a mobile phone is subjective, there are some general factors that seem to influence the switching behaviour of consumers among brands. The studies further show that among other things that influence consumer switching behaviour in the purchase of mobile phones includes reference group and product quality. The study further reveals that customer satisfaction has positive effects on customer switching. Thus, customer satisfaction is considered a positive Garga et al.; JESBS, 29(1): 1-11, 2019; Article no.JESBS.47545 2 determinant of how strong is the relationship between the customer and the product provider. The study therefore, recommends that mobile phone marketers should shift focus on building corporate image and analyze more carefully the reason for customers to switch brands in their industries in order to increase loyalty among these customers. Review Article

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Section: Reasons For Brand Switching Behaviourmentioning

confidence: 99%

Factors Influencing Brand Switching Behaviour of Mobile Phone Users and the Mediating Effect of Customer Satisfaction: A Literature Review

Garga

Maiyaki

Sagagi

2019

JESBS

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“…In 2009, smartphones accounted for 15.4% of the general pool of mobile phones (Li et al, 2010); by 2014, it surpassed 35%, with over 175 billion units (eMarketer, 2014). In the USA, it rose from 44% in 2011 to 65% in 2013 (The Nielsen Company, 2014).…”

Section: Research Focused On Gps Datamentioning

confidence: 99%

Big Data and Cycling

et al. 2015

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Big Data has begun to create significant impacts in urban and transport planning. This paper covers the explosion in data-driven research on cycling, most of which has occurred in the last ten years. We review the techniques, objectives and findings of a growing number of studies we have classified into three groups according to the nature of the data they are based on: GPS data (spatio-temporal data collected using the global positioning system (GPS)), live point data and journey data. We discuss the movement from small-scale GPS studies to the 'Big GPS' data sets held by fitness and leisure apps or specific cycling initiatives, the impact of Bike Share Programmes (BSP) on the availability of timely point data and the potential of historical journey data for trend analysis and pattern recognition. We conclude by pointing towards the possible new insights through combining these data sets with each other -and with more conventional health, socio-demographic or transport data.

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“…By investigating various features of HTC and Apple, Li et al [25] pointed out that the most significant challenge of reuse in smartphones is the design of software to accommodate heterogeneity of these devices. However, our work focuses on using a dynamic programming task scheduling technique to reduce energy consumption for smartphones with DVS enabled.…”

Section: Related Workmentioning

confidence: 99%

Energy Optimization With Dynamic Task Scheduling Mobile Cloud Computing

Li¹,

Chen

Dai

et al. 2017

IEEE Systems Journal

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The smartphone is a typical cyberphysical system (CPS). It must be low energy consuming and highly reliable to deal with the simple but frequent interactions with the cloud, which constitutes the cloud-integrated CPS. Dynamic voltage scaling (DVS) has emerged as a critical technique to leverage power management by lowering the supply voltage and frequency of processors. In this paper, based on the DVS technique, we propose a novel Energy-aware Dynamic Task Scheduling (EDTS) algorithm to minimize the total energy consumption for smartphones, while satisfying stringent time constraints and the probability constraint for applications. Experimental results indicate that the EDTS algorithm can significantly reduce energy consumption for CPS, as compared to the critical path scheduling method and the parallelism-based scheduling algorithm. Index Terms-Cloud-integrated cyberphysical system (CPS), CPS, dynamic scheduling, dynamic voltage scaling (DVS). 1932-8184

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Smartphone Evolution and Reuse: Establishing a More Sustainable Model

Cited by 29 publications

References 3 publications

Factors Influencing Brand Switching Behaviour of Mobile Phone Users and the Mediating Effect of Customer Satisfaction: A Literature Review

Factors Influencing Brand Switching Behaviour of Mobile Phone Users and the Mediating Effect of Customer Satisfaction: A Literature Review

Big Data and Cycling

Energy Optimization With Dynamic Task Scheduling Mobile Cloud Computing

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