Suchergebnisse

Purpose: Product Placement is nowadays popular tool of advertisement. It is very difficult to place the product and synchronize it with the natural environment so that the consumer is acknowledged and has positive vibes towards the placed products brand. Objectives of this Research Article are that we have to find relation between Product Placement, Consumer Perception towards ethics of Product Placement, Consumer Recognition with Program Celebrity that leads to Consumer Purchase Intention. Methodology/Sampling: The study is based on 600 consumers who take part in the study and Quantitative Research methods are used to analyze the results. SPSS 20.0 is used for the purpose of data analysis in this study. Findings: The results showed that there is a positive relationship between these variables Product Placement, Consumer Perception towards ethics of Product Placement, Consumer Recognition with Program Celebrity that leads to Consumer Purchase Intention and Consumer Purchase Intention. Practical Implication: This study recommends Brands and their Product Placement strategists to follow the ethical approach in placing their Product in the movie or Television series use the Celebrity attachment with the Product in a way that there is a Positive effect on the Consumer and our goal to enhance Consumer Purchase Intention is accomplished.

Purpose
The purpose of this paper is to describe the application of design and behavior science collectively in refining the government to citizens' (G2C) cognitive-communication by using artificial intelligence (AI) artifacts. It investigates the citizens' behavior intention to use AI cognitive-communication channels in e-government services.


Design/methodology/approach
This study reveals the potential of unification in design and behavior science paradigms when integrated into AI artifacts in measuring the constructive outcome of proposed architecture that embraces the perceived risk and trust in citizens' usage behavior intentions. To evaluate the practical relevance of design science paradigm, action research was incorporated by developing an app as an exemplified scenario.


Findings
The weaknesses of traditional G2C channel communication obliterated by AI virtual agents. This study proposes a five-layer architecture model created with citizens-centered design highlighting the improved relevance for G2C cognitive-communication. The behavior model supports citizens' usage behavior intentions through trust as a positive attribute and negative attribute as a perceived risk.


Research limitations/implications
This study contributes to the knowledge of design science paradigm particularly to AI-based cognitive G2C communication. The architecture serves for deploying virtual agents to automate the public officials for decision-making processes. The authors have constructed a cognitive-communication model and have examined the relationships among the extents of cognitive-communication model. This channel has the potential to significantly transform G2C cognitive and intelligent communication.


Practical implications
This cognitive-communication channel has the potential to significantly transform the communication between government and citizens. Such a model can be an interest of developers, researchers and government policymakers in a holistic approach drawn from theory and methods of both design and behavior science to create a successful communication scenario.


Social implications
Advances in technology are not without social implications. The study results can dramatically improve the efficiencies of government workplaces and can augment the human working. It will help to reduce the government services discriminations among the citizens and contribute to society through social inclusion.


Originality/value
This study addresses the duality in information system research by first defining the theoretical framework for G2C cognitive-communication architecture and then developing a research model drawn upon a citizens' service usage behavioral theory. It will also contribute to providing important perceptions of AI practices in the public sector.