Suchergebnisse

The objective of this paper is limited to determine the exclusionary effects of poor decisionmaking power of children and variation to their effects among children based on their gender, religion, family background and subjective poverty. A total of 500 children (12-18 years) were selected by systematic sampling technique from seven shopping streets and seven high schools of the District Peshawar, and interviewed. Likert scale was used as a measurement tool. Association of variables was ascertained by using Chi-square test and Kendall's Tau-b tests, at bivariate and multivariate level. At bivariate level relationship of social exclusion was significant and negative with feeling one's self influential in molding family level decision, having membership of any organization, liberty in choice of sport, liberty in choice of dress/shoes and people listen to child's views. At multivariate level, the exclusionary effects of poor decision making power among children varied on the basis of their gender (male and female) and religious affiliations (Muslims and non-Muslims). Contrariwise, result of groups based on sufficiency of family income indicated a nonspurious relationship between power of making decision in children and their social exclusion. Likewise, result of groups based on joint and nuclear family affiliation indicated a non-spurious relationship between power of making decision in children and their social exclusion; conversely, single parent family group had a spurious relationship with above two groups. Ensuring child's constructive social participation at family and community level activities, reintegration of family role in child's physical, social and psychological care and socialization, and overcoming gender and religion based disparities in the society were some of the policy recommendations in light of the study.

The study was formulated to analyse social exclusion and extent of drugs addiction among youth in rural areas of Dir Lower, Khyber Pakhtunkhwa, Pakistan. A sample of 266 was randomly selected for data collection through interview. Statistical tools were used to measure the association between dependent and independent variables. The results show significant associations between drugs' addiction led to severe form of social exclusion, social exclusion limited the access of drugs addict to basic facilities, deprived drugs user from employment and extent of drug's addiction. Similarly, significant associations were depicted between social exclusion prevents the participation of drugs addict in religious/cultural events; restricted the social relationship with family and extent of drug's addiction. Moreover, significant associations were accorded between socially excluded youth shows a greater level of social stigma, social exclusion leads to formation of risky behaviour, drugs addiction changes the life pattern of youth which evoked to social exclusion and extent of drug's addiction. Thus, the government should make strategies for youth pertaining to preventions of drugs addiction with implementation at all institutional were put forward as the recommendation in the light of the current study.

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.