Identifying drivers for continual usage of wireless broadband

Baek, Jongdeuk; Park, Seong-Won; Lee, Choong C.

doi:10.1504/ijmc.2011.041139

Cited by 16 publications

(5 citation statements)

References 17 publications

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“…The technologically updated arterial VMS is obviously more expensive regarding life-cycle costs (e.g. manufacturing, operations, and maintenance) in contrast to the existing arterial VMS, as is in circumstances where new IT technologies are applied in industrial management (Kmieciak et al, 2012;Bae and Chang, 2012;Chang, 2010;Baek et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Why do people change routes? Impact of information services

Gan

Bai

Wei

2013

Industrial Management &Amp; Data Systems

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Purpose -The aim of this study is to identify factors that influence drivers' route choice response to travel time information about both the expressway and local streets provided by variable message signs on arterial roads. Design/methodology/approach -A stated preference questionnaire survey was conducted to collect behavioral data. The generalized estimating equations (GEEs) method with a logit link function was used to model driver response and account for correlations within repeated observations from the same respondent. Four GEEs-based estimations with different working correlation structures were conducted and compared with each other as well as the conventional maximum likelihood estimation. Findings -Driving experiences, expressway delays, causes of delay, and the number of traffic lights on local streets are factors influencing route choice decisions. A new finding is that there exist differences in response behavior among employer-provided car, taxi and private car drivers. On the modeling aspect, the exchangeable structure was the most appropriate in this study. Research limitations/implications -This study indicates the effectiveness and appropriateness of the GEEs method and suggests further examination of GEEs' performance. Practical implications -The route choice probability model established by this study will facilitate better investment, design and assessment of dynamic information services in transportation management. Originality/value -The dynamic information this study concerns has rarely been addressed in the literature. Little literature to date has applied the GEEs method in information response modeling. This study reaches solider conclusions about the GEEs method.

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Section: Introductionmentioning

confidence: 99%

Why do people change routes? Impact of information services

Gan

Bai

Wei

2013

Industrial Management &Amp; Data Systems

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“…Items of perceived security were adopted from Cheung and Lee, ( 2006) and Susanto et al, (2013). Indicators of perceived mobility with the use of m-wallet applications were drawn from Baek et al (2011) and Wang and Li (2012). Finally, items of satisfaction and continuance intention were adopted and further modified from Bhattacharjee (2001).…”

Section: Methodsmentioning

confidence: 99%

An Empirical Model of Continuance Intention toward Mobile Wallet Services in India

Saibaba¹

2022

Indian Journal of Commerce &Amp; Management Studies

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Purpose: A significant increase in smartphone adoption in India has resulted in consumers availing various services through it. Due to the affordable rates of mobile internet, coupled with various other factors, the demand for mobile wallet services for instance, has surged in the past few years, increasing competition. This study aims to investigate some of the important determinants of continuance intention of mobile wallet customers in India. Methodology: We collected 325 responses through an online survey. We adopted all the measurement items of the variables (i.e. both independent dependent) from extant literature, and modified them to suit our study's purpose. We adopted statistical tools, using IBM SPSS, to empirically validate the proposed research model. Findings: Largely, the results revealed that 'consumer satisfaction' was indeed a major determinant of continuance intention. Besides, perceived ease of use, perceived usefulness, and perceived enjoyment had significant influence on continuance intention too. Implications: This study highlights the need for understanding the significant determinants of continuance intention of using mobile wallets, and it also discusses the need for distinguishing mobile wallet users based on their 'usage intensity', which effectively would help practitioners better understand the market segments, and thereby increase profitability through customer loyalty. Originality: This study is unique, as it not only proposes a research model, measuring the post-adoption behavior of mobile wallet users in India, but also confirms its practical applicability through empirical data validation techniques.

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“…Global Positioning System (GPS) is widely used for the Location-Based Service (LBS) of smartphones. However, GPS dramatically increases the energy consumption of a smartphone due to heavy computation overhead [1][2][3][4][5][6][7][8][9][10]. Specifically, a GPS receiver in a smartphone polls signals from multiple satellites continuously and calculates the threedimensional location (latitude, longitude, and altitude), which increases the energy consumption of a smartphone dramatically [12].…”

Section: Introductionmentioning

confidence: 99%

“…Specifically, a GPS receiver in a smartphone polls signals from multiple satellites continuously and calculates the threedimensional location (latitude, longitude, and altitude), which increases the energy consumption of a smartphone dramatically [12]. It is reported that the battery life of a smartphone is less than 12 hours when GPS is turned on although no other activity is performed on the smartphone [1,[3][4][5]13]. This is a serious problem as it prevents smartphone users from continuing their activities when the battery is exhausted.…”

Section: Introductionmentioning

confidence: 99%