Influencer Marketing: Factors Influencing A Customer’s Purchase Intention

Ahnaf Chowdhury NILOY(Ahnaf Chowdhury NILOY ),Jawad Bin ALAM(Jawad Bin ALAM ),Md. Shah ALOM(Md. Shah ALOM ) 한국유통과학회 2023 Asian Journal of Business Environment (AJBE) Vol.13 No.1

Purpose: The study analyzes the impact of attitudes toward food influencers on consumer purchase intention. It also aims to identify factors affecting consumers’ attitudes toward food influencers. Research design, data and methodology: Based on the responses collected from 500 randomly selected consumers, the study analyzes the relationship based on the factors of influencer marketing. The authors test the conceptual model using multivariate linear regression analysis after validating the internal consistency of the data using Cronbach’s Alpha reliability test and exploratory factor analysis (EFA). Results: The study finds that purchase intention is positively correlated and significantly impacted by the attitude towards influencer. The study further finds that attitude towards influencer is positively correlated and significantly impacted by source attractiveness, product match up, and source familiarity. However, source credibility is found to be an insignificant construct impacting attitude towards influencer. Conclusions: The study gives a guided solution to marketers and brand practitioners about the importance of influencer marketing in the food industry and its effectiveness in generating purchase intention. The present paper bridges a gap pertaining to antecedents and factors that impact attitudes toward food influencers and consumer purchase intention. To the authors’ knowledge, this study is the first of its kind to investigate the impact of attitudes toward influencers on purchase intention in the food industry.

In vitro evaluation of nano zinc oxide (nZnO) on mitigation of gaseous emissions

( Niloy Chandra Sarker ),( Faithe Keomanivong ),( Md. Borhan ),( Shafiqur Rahman ),( Kendall Swanson ) 한국축산학회(구 한국동물자원과학회) 2018 한국축산학회지 Vol.60 No.11

Background: Enteric methane (CH₄) accounts for about 70% of total CH₄ emissions from the ruminant animals. Researchers are exploring ways to mitigate enteric CH₄ emissions from ruminants. Recently, nano zinc oxide (nZnO) has shown potential in reducing CH₄ and hydrogen sulfide (H₂S) production from the liquid manure under anaerobic storage conditions. Four different levels of nZnO and two types of feed were mixed with rumen fluid to investigate the efficacy of nZnO in mitigating gaseous production. Methods: All experiments with four replicates were conducted in batches in 250 mL glass bottles paired with the ANKOM^RF wireless gas production monitoring system. Gas production was monitored continuously for 72 h at a constant temperature of 39±1 °C in a water bath. Headspace gas samples were collected using gas-tight syringes from the Tedlar bags connected to the glass bottles and analyzed for greenhouse gases (CH₄ and carbon dioxide-CO₂) and H₂S concentrations. CH₄ and CO₂ gas concentrations were analyzed using an SRI-8610 Gas Chromatograph and H₂S concentrations were measured using a Jerome 631X meter. At the same time, substrate (i.e. mixed rumen fluid+ NP treatment+ feed composite) samples were collected from the glass bottles at the beginning and at the end of an experiment for bacterial counts, and volatile fatty acids (VFAs) analysis. Results: Compared to the control treatment the H₂S and GHGs concentration reduction after 72 h of the tested nZnO levels varied between 4.89 to 53.65%. Additionally, 0.47 to 22.21% microbial population reduction was observed from the applied nZnO treatments. Application of nZnO at a rate of 1000 μg g^{- 1} have exhibited the highest amount of concentration reductions for all three gases and microbial population. Conclusion: Results suggest that both 500 and 1000 μg g^{- 1} nZnO application levels have the potential to reduce GHG and H₂S concentrations.

Causality between Public Investment in Transport and Communication and Economic Growth

Niloy Bose,Emranul Haque 중앙대학교 경제연구소 2005 Journal of Economic Development Vol.30 No.1

This paper aims to provide an explanation for the robust and consistent relationship between public investment in transport and communication and economic growth that has frequently surfaced in recent empirical studies. Using both informal and formal causality tests, the paper finds that, for a set of developing countries, the strong association is the result of the effect running from growth to public investment rather than vice versa.

Influencer Marketing: Factors Influencing A Customer's Purchase Intention

NILOY, Ahnaf Chowdhury,ALAM, Jawad Bin,ALOM, Md. Shah Korea Distribution Science Association 2023 Asian journal of business environment Vol.13 No.1

Purpose: The study analyzes the impact of attitudes toward food influencers on consumer purchase intention. It also aims to identify factors affecting consumers' attitudes toward food influencers. Research design, data and methodology: Based on the responses collected from 500 randomly selected consumers, the study analyzes the relationship based on the factors of influencer marketing. The authors test the conceptual model using multivariate linear regression analysis after validating the internal consistency of the data using Cronbach's Alpha reliability test and exploratory factor analysis (EFA). Results: The study finds that purchase intention is positively correlated and significantly impacted by the attitude towards influencer. The study further finds that attitude towards influencer is positively correlated and significantly impacted by source attractiveness, product match up, and source familiarity. However, source credibility is found to be an insignificant construct impacting attitude towards influencer. Conclusions: The study gives a guided solution to marketers and brand practitioners about the importance of influencer marketing in the food industry and its effectiveness in generating purchase intention. The present paper bridges a gap pertaining to antecedents and factors that impact attitudes toward food influencers and consumer purchase intention. To the authors' knowledge, this study is the first of its kind to investigate the impact of attitudes toward influencers on purchase intention in the food industry.

Fluorescent carbon nano-materials from coal-based precursors: unveiling structure–function relationship between coal and nano-materials

Kundu Niloy,Sadhukhan Dhrubajyoti,Sarkar Supriya 한국탄소학회 2022 Carbon Letters Vol.32 No.3

Fluorescent carbon nano-materials with quantum confinement and edge effects have recently piqued attention in a variety of applications, including biological imaging, drug delivery, optoelectronics and sensing. These nano-materials can be synthesized from a variety of carbon-based precursors using both top-down and bottom-up methods. Coal and its derivatives typically include a vast crystalline network and condensed aromatic ring cluster, which can be easily exfoliated by chemical, electrochemical, or physical processes to produce nano-materials. As a result, they are regarded as a low-cost, abundant and efficient carbon source for the fabrication of high-yield nano-materials. Nano-materials synthesized from coal-based precursors have outstanding fluorescence, photostability, biocompatibility and low toxicity, among other properties. Their properties in optical sensors, LED devices, bio-imaging, and photo and electro-catalyst applications have already been investigated. In this review, we have highlighted current developments in the synthesis, structural properties and fluorescence properties of nano-materials synthesized from coal-based precursors.

Plastic Behavior of Ferrite–Pearlite, Ferrite–Bainite and Ferrite–Martensite Steels: Experiments and Micromechanical Modelling

Saroj Kumar Basantia,Ankita Bhattacharya,Niloy Khutia,Debdulal Das 대한금속·재료학회 2021 METALS AND MATERIALS International Vol.27 No.5

In this work, low carbon low alloy steel specimens were subjected to suitable heat treatment schedules to develop ferrite–pearlite (FP), ferrite–bainite (FB) and ferrite–martensite (FM) microstructures with nearly equal volume fraction of hardsecond phase or phase mixture. The role of pearlite, bainite and martensite on mechanical properties and flow behaviour wereinvestigated through experiments and finite element simulations considering representative volume elements (RVE) basedon real microstructures. For micromechanical simulation, dislocation based model was implemented to formulate the flowbehaviour of individual phases. The optimum RVE size was identified for accurate estimation of stress–strain characteristicsof all three duplex microstructures. Both experimental and simulation results established that FM structure exhibited superiorstrength and FP structure demonstrated better elongation while FB structure yielded moderate strength and ductility.The von Mises stress and plastic strain distribution of the individual phase was predicted at different stages of deformationand subsequent statistical analyses indicated that hard phases experienced maximum stress whereas, maximum strainingoccurred in soft ferrite phase for all three structures. Micromechanical simulation further revealed that strain accumulationoccurred at the F–P and F–B interfaces while the same was observed within the martensite particles apart from the F–Minterfaces for FM. These observations were further substantiated through the identification of void and crack initiation sitesvia subsurface examinations of failed tensile specimens.

RepFinder : Finding Approximately Repeated Scene Elements for Image Editing

Ming-Ming Cheng,Fang-Lue Zhang,Niloy J. Mitra,Xiaolei Huang,Shi-Min Hu (사)한국CDE학회 2010 한국CAD/CAM학회 국제학술발표 논문집 Vol.2010 No.8

Study of the Effect of Two Separate Tilt Angles of Laser Scanning Lines on the Microstructure and Mechanical Properties in Direct Metal Laser Sintered AlSi10Mg Alloy

Aniket Chakrabarty,Vivek Kumar Sahu,Anindya Das,Shreya Mukherjee,Nilesh Prakash Gurao,Pritam Chakraborty,Himadri Nandan Bar,Niloy Khutia 대한금속·재료학회 2022 METALS AND MATERIALS International Vol.28 No.1

The scanning strategy has a measurable impact on the grain size and growth direction of the produced parts in powder bedfusion. Tilting of the laser scan lines by 67° is a default procedure applicable to PBF machines for obtaining maximumvariability in the direction of melt pools. In this work, AlSi10Mg parts were produced through direct metal laser sinteringwith two diferent scanning strategies. In the frst strategy, the scanning lines were not tilted in between layers while in thesecond strategy, the scanning lines were tilted by 67°. The microstructures of the as-deposited alloys for the two strategieswere evaluated by state-of-art characterization methods like scanning electron microscopy, electron backscatter difraction(EBSD), X-ray computed tomography (X-ray CT), and X-ray difraction. Monotonic tensile tests were hence conducted inboth categories. Greater tensile strength was demonstrated by the specimens with no tilting of the scan lines while the specimens produced with a 67° tilt manifested greater elongation. Grain morphology characterized by EBSD studies suggestedan inhomogeneity in grain size for the specimens with no tilting of the scan lines. This had primarily attributed to the earlyfailure of the same. It was also found out that the preferred growth direction of grains in AlSi10Mg was hindered by tiltingthe scan lines by 67°. X-Ray CT studies and Kocks–Mecking Analysis explained the deformation and hardening behaviorof both the types in the view of porosity and structural defects.

Influence of Scanning and Building Strategies on the Deformation Behavior of Additively Manufactured AlSi10Mg: CPFEM and Finite Element Studies

Aniket Chakrabarty,Pritam Chakraborty,Roopam Jain,Vivek Kr. Sahu,N. P. Gurao,H. N. Bar,Niloy Khutia 대한금속·재료학회 2023 METALS AND MATERIALS International Vol.29 No.10

A novel computational framework has been presented in this work for understanding the mechanical deformation behaviorin additively manufactured parts. AlSi10Mg parts were additively manufactured and investigated for effects on microstructuredue to changes in process parameters. The morphological characteristics of the printed parts were assessed, and 2Dstatistically equivalent representative volume elements (SERVEs) were created and analyzed for deformation under tensioncomputationally with crystal plasticity finite element method (CPFEM) with a combined MATLAB and ABAQUS interactiveframework. For assessing the CPFEM parameters, an interactive ABAQUS and MATLAB environment was implementedusing MATLAB’s genetic algorithm (GA) toolbox. Various results like von Mises stress distribution, maximum in-planestress distribution, and L2-norm of Green Lagrange’s strain were compared, and it was found that the vulnerability of thestructures is related to the change in process or build parameters. CPFEM analyses on 3D microstructures generated throughDREAM. 3D further confirmed the validity of results for CPFEM in 2D. The developed 2D framework also predicted thetexture that correlated well with the tension test findings. Parallely, a finite element framework was developed to study thelocalization effects on AM specimens due to the presence of pores. This work has reported two separate viewpoints in termsof porosity and microstructure.