A Study on Customer Perception Towards Online Shopping, Salem.

Dhanalakshmi., Dr.M.; Sakthivel, M.; Nandhini, M.

doi:10.21474/ijar01/3033

Cited by 4 publications

(4 citation statements)

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“…As a result, previous research has yielded inconsistent results when it comes to whether brand and quality exposure influence online purchase intent. Dhanalakshmi et al, (2017) [11] investigated customer perceptions of online buying. The investigation used 150 repliers as a sample size.…”

Section: Current Status Based On Literature Reviewmentioning

confidence: 99%

Direct to Consumer using Livestream as an Innovative Marketing Medium during COVID-19

Rajasekar

Aithal

2022

IJAEML

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Purpose: Owing to COVID, when many of the physical retail areas were closed and customers were inside, brands were always considering inventive ways to associate with the customers. The accessibility of customers to sellers remained. The live stream was an awesome way to access customers and multiply engagement. Design/Methodology/Application: Establishing a conceptual notion based on model development using the emphasis group - learning method and model analysis using the ABCD listing methodology. Findings/Result: The analyst has recognized that engagement must not be restricted to buyers alone. Livestream is an amazing stage to lock in accomplices as well as internal employees within the company. Livestreaming is long-term of retail and e-commerce. The coronavirus pandemic devastated almost all sectors of the business. Research limitations/implications: Businesses across the country and across the world experienced their supplies, business relations adversely hampered. The demand for most of the products and services reduced to a great extent. The business interruption insurance policy can come to the rescue but unfortunately, if a particular business is not listed on, the policy is not covered. It becomes inevitable to review and reiterate the policies. In many places, in almost all sectors, all spheres, all levels, from the rich to the poor, the losses and damages caused by coronavirus havoc are irreparable. No agency or organization ponders over their compensation of them. Originality/New knowledge/Interpretation/Value: The objective of this paper is to exhibit the most recent patterns and upgrades in live streaming. Moreover, the feasibility of utilizing Livestream as an integrated marketing communication channel is explained. Paper Type: Conceptual research

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Section: Current Status Based On Literature Reviewmentioning

confidence: 99%

Direct to Consumer using Livestream as an Innovative Marketing Medium during COVID-19

Rajasekar

Aithal

2022

IJAEML

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“…It is found that such models often employ apriori mode and frequency growth patterns in the transactional data stream [46]. But, in cases where the model has used association rule miningthey have often assumed transactional data [47] are stationary, which is not the case, and (c) the assumed stationary nature of transactional data does not yield the required flexibility [48], robustness, and adaptiveness needed for association rule method [49] to be used in resolving the inherent issues of both features evolution and concept evolution as rippled across transaction data streams.…”

Section: Introductionmentioning

confidence: 99%

Handling Transactional Data Features via Associative Rule Mining for Mobile Online Shopping Platforms

Akazue,

Okofu,

Ojugo

et al. 2024

IJACSA

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Transactional data processing is often a reflection of a consumer's buying behavior. The relational records if properly mined, helps business managers and owners to improve their sales volume. Transaction datasets are often rippled with the inherent challenges in their manipulation, storage and handling due to their infinite length, evolution of product features, evolution in product concept, and oftentimes, a complete drift away from product feat. The previous studies' inability to resolve many of these challenges as abovementioned, alongside the assumptions that transactional datasets are presumed to be stationary when using the association ruleshave been found to also often hinder their performance. As it deprives the decision support system of the needed flexibility and robust adaptiveness to manage the dynamics of concept drift that characterizes transaction data. Our study proposes an associative rule mining model using four consumer theories with RapidMiner and Hadoop Tableau analytic tools to handle and manage such large data. The dataset was retrieved from Roban Store Asaba and consists of 556,000 transactional records. The model is a 6-layered framework and yields its best result with a 0.1 value for both the confidence and support level(s) at 94% accuracy, 87% sensitivity, 32% specificity, and a 20-second convergence and processing time.

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“…Lesser inventory may result in businesses losing opportunity of sales, loss of potential clients, loyalties and anticipated maximum profits [67]. With over-stocking of inventories, it will increase the cost of maintenance and storage, and thus, reduce the profit margins [68]- [70]. With nation left devastated by the pandemic, the International Monetary Fund reported by 2024 ending, it will cost globally about US$13.8trillion [71], [72] for recovery.…”

Section: Introductionmentioning

confidence: 99%

NiCuSBlockIoT: Sensor-based Cargo Assets Management and Traceability Blockchain Support for Nigerian Custom Services

Obasuyi, D.A.,

Yoro, R.E.,

Okpor, M.D.

et al. 2024

AIMS Research Journal

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As competitive market and globalization continue to ripple a range of issues across the asset chain (i.e. safety, quality, tracing, and overall management efficiency). Pandemics are bound to occur without warning and has revealed the unpreparedness of many nations. Thus, the Nigerian Government aiming to shore up revenue/monetization via customs exercise duties to augment the nosedive in revenue of the oil sector – must formulate policies and adapt technology to harness its inherent benefits therein. Study advances a sensor-based blockchain NiCuSBlockIoT, which will provision a decision-support scheme for cargo goods traceability and asset movement on a value-chain by first ensuring that accurate records of cargo goods are registered, tagged and reported using the sensor-based units. These are then broadcasted on to the NiCuSBlockIoT as record and/or blocks via a P2P chain on the network as a decentralized framework executed on a distributed hyper-ledger fabric via smart-contract transaction logic. Result show model eliminate fraud that often accompanies a centralized scheme via its sensor-layered model that reports all such errors as data on NiCuSBlockIoT supply value chain. Keywords: BlockChain, Food supply chain, Nigerian Customs Service, NISBlockIoT framework CISDI Journal Reference Format Obasuyi, D.A., Yoro, R.E., Okpor, M.D., Ifioki, A.., Brizimor, S.., Ojugo, A.A., Odiakaose, C.C., Emordi, F.U., Ako, R.E., Geteloma, V.C., Abere, R.A., Atuduhor, R.R. & Akiakeme, E. (2024): NiCuSBlockIoT: Sensor-based Cargo Assets Management and Traceability Blockchain Support for Nigerian Custom Services. Computing, Information Systems, Development Informatics & Allied Research Journal. Vol 15 No 2, Pp 45-64. dx.doi.org/10.22624/AIMS/CISDI/V15N2P4. Available online at www.isteams.net/cisdijournal

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A Study on Customer Perception Towards Online Shopping, Salem.

Cited by 4 publications

References 0 publications

Direct to Consumer using Livestream as an Innovative Marketing Medium during COVID-19

Direct to Consumer using Livestream as an Innovative Marketing Medium during COVID-19

Handling Transactional Data Features via Associative Rule Mining for Mobile Online Shopping Platforms

NiCuSBlockIoT: Sensor-based Cargo Assets Management and Traceability Blockchain Support for Nigerian Custom Services

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