Search Convenience and Access Convenience: The Difference Between Website Shopping and Mobile Shopping

Almarashdeh, Ibrahim; Eldaw, Kamal Eldin; Alsmadi, Mutasem K.; Badawi, Usama A.; Haddad, Firas; Abdelkader, Osama Ahmed; Jaradat, Ghaith M.; Alkhaldi, Ayman N.; Qawqzeh, Yousef

doi:10.1007/978-3-030-17065-3_4

Cited by 24 publications

(22 citation statements)

References 17 publications

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“…Thus, given that this concept is a central concept of the TAM model, we considered it to be the most appropriate tool for assessing the various relationships between behavioral intent and other factors that could influence this behavior in the field of mobile commerce. Based on the literature and previous research in the field [ 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 , 92 , 93 , 94 , 95 , 96 , 97 , 98 , 99 , 100 , 101 , 102 , 103 , 104 , 105 , 106 , 107 , 108 , 109 , 110 , 111 , 112 , 113 , 114 ...…”

Section: Research Design and Methodologymentioning

confidence: 99%

“…These include, among other things, the simple access options (“ease of access”) of mobile devices to the Internet [ 75 , 77 , 79 ] or the ease of use and control. Navigation guidance through (mobile) shopping applications [ 77 , 80 , 81 ] and websites [ 82 , 83 ]. All these points of view agree that complex and user-unfriendly system operations (lack of suitable usability) in particular are seen as a critical key criterion.…”

Section: Theoretical Framework and Hypothesis Developmentmentioning

confidence: 99%

See 1 more Smart Citation

Impact of Digitalization on Customers’ Well-Being in the Pandemic Period: Challenges and Opportunities for the Retail Industry

Akram

Fülöp

Tiron-Tudor

et al. 2021

IJERPH

112

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Order increases, supply chain disruptions, changing customer behavior, store closures, and more that have been caused by the coronavirus epidemic (COVID-19) will undoubtedly affect the online commerce forms of business. The coronavirus pandemic has a significant impact on digitalization and customer experience and well-being in mobile commerce. Since the beginning of the coronavirus pandemic, online sales and the number of online shoppers using wireless internet-enabled devices have increased tremendously. The article develops, an experimental study that captures COVID-19 and digital commerce’s impact in terms of customers’ experience and well-being during the pandemic period. The study explores the synergy between technology evolution and the effects of the COVID-19 pandemic on customers’ behavior based on survey data collection and the technology acceptance model (TAM). The results reveal that, for millennials, digital commerce seems to be the typical way of shopping and paying in the pandemic period since the oldest generations adopted in a smaller proportion the use of mobile devices for shopping and payments. Besides, retailers are confronted with great challenges raised by millennials’ expectations. The result confirms four of the six hypotheses based on the technology acceptance model (TAM). As a result, it shows that the easiness of use, trust, mobility, and customer involvement influences the behavioral intention of the customer to use mobile commerce, and that usefulness and customization does not influence the behavioral intention.

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Section: Research Design and Methodologymentioning

confidence: 99%

Section: Theoretical Framework and Hypothesis Developmentmentioning

confidence: 99%

Impact of Digitalization on Customers’ Well-Being in the Pandemic Period: Challenges and Opportunities for the Retail Industry

Akram

Fülöp

Tiron-Tudor

et al. 2021

IJERPH

112

View full text Add to dashboard Cite

show abstract

“…Considering the existence of various characteristics of quality in product quality determination, this approach is insufficient in terms of practicality. Nonetheless, multivariate control charts (MVCC) with the capacity in identifying the changes in covariance matrix Σ and the mean vector μ in order to achieve optimal performance of the product [1,2].…”

Section: Introductionmentioning

confidence: 99%

“…In order to overcome the impact of outliers on the formed control chart, the application of robust estimators would be an appropriate solution. These robust estimators should be employed in place of the mean vector x and the variance covariance matrix S as in the conventional Hotelling's 2 T chart. Accordingly, a chart is considered robust if it could produce strong reaction to the changes to the production process, and this reaction is compelled by the controlled false alarms and the probabilities values of detection outliers are large enough and tends to 100%.…”

Section: Introductionmentioning

confidence: 99%

Bivariate modified hotelling’s T2 charts using bootstrap data

Haddad¹,

Alsmadi²,

Badawi³

et al. 2019

IJECE

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The conventional Hotelling’s charts are evidently inefficient as it has resulted in disorganized data with outliers, and therefore, this study proposed the application of a novel alternative robust Hotelling’s charts approach. For the robust scale estimator , this approach encompasses the use of the Hodges-Lehmann vector and the covariance matrix in place of the arithmetic mean vector and the covariance matrix, respectively. The proposed chart was examined performance wise. For the purpose, simulated bivariate bootstrap datasets were used in two conditions, namely independent variables and dependent variables. Then, assessment was made to the modified chart in terms of its robustness. For the purpose, the likelihood of outliers’ detection and false alarms were computed. From the outcomes from the computations made, the proposed charts demonstrated superiority over the conventional ones for all the cases tested.

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“…Live Love Recycle Application interface [11].The technological revolution influenced everything [12 management applications for the real world complaint management issues. Today, the use of Artificial Intelligence (AI) algorithms is expansive, particularly in providing challenging problems including patterns recognition and retrieval of information[27,33 image segmentation[12,13,23,50 Management System, nurse rostering problem[87],Healthcar 88], as well as prediction of river flow[89 Artificial Intelligence as an effective tool for environment protection, sustainability and Smart Recycling[92][93][94][95].…”

mentioning

confidence: 99%

Developing and Implementing a Web-Based Recycling System for Protecting the Green Environment

Al-Omairi¹,

WejdanHamadAlNasheri²,

Al-Qarni³

et al. 2019

IJSEA

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Our society suffers a lot from the things that are thrown uselessly; these things may be beneficial to our society. On the other hand, communities suffer a lot of waste especially plastic waste; this has led to environmental pollution and depletion of natural resources. Therefore, this research aims to achieve sustainable development and achieve part of the Saudi Arabia vision 2030. Hence we have distributed a questionnaire to 88 responders, and based on the results of this study, which shows the importance of recycling and its impact on the environment and the extent of community interest in this subject and their supporters, The Let's Recycle site, based on the results of the questionnaire, will improve waste and plastics disposal in an environmentally positive manner.The proposed system was developed using the Unified Modelling Language (UML) and Microsoft Visual Studio2010 programming language.

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Search Convenience and Access Convenience: The Difference Between Website Shopping and Mobile Shopping

Cited by 24 publications

References 17 publications

Impact of Digitalization on Customers’ Well-Being in the Pandemic Period: Challenges and Opportunities for the Retail Industry

Impact of Digitalization on Customers’ Well-Being in the Pandemic Period: Challenges and Opportunities for the Retail Industry

Bivariate modified hotelling’s T2 charts using bootstrap data

Developing and Implementing a Web-Based Recycling System for Protecting the Green Environment

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