Investigating E tailer’s perceived Website Quality using Analytical Hierarchy Process Technique

Pathania, Anjali; Rasool, Gowhar

doi:10.1016/j.procs.2017.11.468

Cited by 13 publications

(6 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The presentation is provided in table form for simplicity reasons [12,20]. This study employs five primary criteria, as depicted in Table VIII, illustrating the prioritization of predictive maintenance techniques by multiplying the rating of each main criterion with its corresponding sub-criteria.…”

Section: A Manual Ahp Calculation Examplementioning

confidence: 99%

Selection Criteria for Evaluating Predictive Maintenance Techniques for Rotating Machinery using the Analytic Hierarchical Process (AHP)

Prommachan,

Surin,

Srinoi

et al. 2024

Eng. Technol. Appl. Sci. Res.

View full text Add to dashboard Cite

A primary industry objective is to ensure that machinery remains operational through effective management. Predictive maintenance plays a significant role in monitoring the working condition of machinery. The goal of this study is to establish the criteria for evaluating predictive maintenance techniques for rotating machines utilizing the Analytic Hierarchy Process (AHP). To achieve this target, survey data were collected from questionnaires and interviews with 20 experts, which had at least 20 years of professional experience. The Analytic Hierarchy Process (AHP) was utilized for criteria selection. The findings disclosed that predictive maintenance factors for rotating machines were ranked as follows: vibration analysis (45.5%), acoustic analysis (22.7%), oil analysis (22.4%), infrared thermography (5.8%), and wear particle analysis (3.6%). The Consistency Ratio (CR) was determined to be less than 10%, indicating a high level of consensus among the experts. Given the elevated importance attributed to vibration analysis, it can be concluded that the latter is the primary criterion for selecting predictive maintenance techniques for rotating machines.

show abstract

Section: A Manual Ahp Calculation Examplementioning

confidence: 99%

Selection Criteria for Evaluating Predictive Maintenance Techniques for Rotating Machinery using the Analytic Hierarchical Process (AHP)

Prommachan,

Surin,

Srinoi

et al. 2024

Eng. Technol. Appl. Sci. Res.

View full text Add to dashboard Cite

show abstract

“…Creating and building a superior customer experience can assist businesses in carving a distinct image in the eyes of their customers (Pathania & Rasool, 2017). As evidenced by various studies, the website is widely used and supports many people in obtaining what they need online.…”

Section: Perceived Website Qualitymentioning

confidence: 99%

Building Customer Trust in e-commerce

Gashema

Alain²

2023

IJFBS

View full text Add to dashboard Cite

E-commerce is gaining popularity due to its importance for both merchants and consumers, particularly in light of the COVID-19 pandemic, which restricts mass movement and gathering, as well as the high costs associated with traveling to different markets. Despite mounting evidence demonstrating the importance of internet in retails business, little is known about the potential mechanisms that increase consumer purchasing intentions when using online shopping platforms. In today's high customer sensitivity to service quality, successful entrepreneurs have recently thrived under competitive pressures. Online transactions are more difficult because buyers and sellers do not know each other, yet they must provide financial information to intermediaries. Thus, it is now clear that increasing customer trust is a viable strategy for driving e-business success today. Considering this, a new model demonstrating a potential mechanism that increases customers' trust in intermediaries and thus leads to their online purchasing intentions was developed. This innovative model connects website quality to the online purchasing intentions of the customers, using trust in intermediaries as a mediator and moderating the effect of perceived usefulness. To prove or disprove the assumptions highlighted in this study, a cross-sectional research design was used with data from 568 clients of nine domestic e-commerce platforms operating in Rwanda. To investigate the relationship between the variables hypothesized in this study, a variety of methods and tools were used. To assess the potential effect of each variable in this model, we used CFA in SEM-Amos, mean and standard deviation in SPSS, and Hayes macro process. The overall results obtained using the various techniques specified supported the current hypothesized model. We believe that the current study provided an innovative and useful mechanism as one of the potential solutions for today's merging online businesses.

show abstract

“…The effectiveness is compared with benchmark functions and they proved that MSFOA gives better results than other enhanced versions of FOA. Pathania and Rasool (2017) have taken AHP technique to assess the quality of website service among the e-commerce websites. The proposed work experiments to compute the client decision on the basis of various criteria which will create the impact on website service quality.…”

Section: Related Workmentioning

confidence: 99%

Trust-based fruit fly optimisation algorithm for task scheduling in a cloud environment

Priya

Jaisankar

2020

IJIMS

View full text Add to dashboard Cite

Efficient task scheduling plays a critical role in cloud computing environment. In this paper, we proposed a novel trust-based fruit fly optimisation algorithm (TFOA) for task scheduling. Even though traditional scheduling algorithms, namely first come first serve, round robin, ant colony optimisation and so on are used broadly in cloud computing process but still efficient scheduling is not achieved. In general cloud service provider desires to receive the customer task in a faster rate allocated on the most trustworthy resource by using TFOA. Simulation outcomes show that the proposed algorithm performs better than the existing transitional algorithms like round robin and particle swarm optimisation (PSO) in terms of reduced makespan and turnaround time and efficient resource utilisation.

show abstract

Investigating E tailer’s perceived Website Quality using Analytical Hierarchy Process Technique

Cited by 13 publications

References 16 publications

Selection Criteria for Evaluating Predictive Maintenance Techniques for Rotating Machinery using the Analytic Hierarchical Process (AHP)

Selection Criteria for Evaluating Predictive Maintenance Techniques for Rotating Machinery using the Analytic Hierarchical Process (AHP)

Building Customer Trust in e-commerce

Trust-based fruit fly optimisation algorithm for task scheduling in a cloud environment

Contact Info

Product

Resources

About