A Study of Different Models for Subreddit Recommendation Based on User-Community Interaction

2019 ◽  
pp. 96-108 ◽  
Author(s):  
Andrej Janchevski ◽  
Sonja Gievska
Keyword(s):  
User Community ◽  
Community Interaction

Analisis Kualitas Pelayanan Pada Unit Perijinan Angkutan Dan Kendaraan Wajib Uji Dinas Perhubungan Kabupaten Karanganyar

2020 ◽  
Vol 4 (02) ◽  
Author(s):  
Fachry Prasetyo ◽  
Priyanto Susiloadi
Keyword(s):  
Performance Analysis ◽  
Service Quality ◽  
Sampling Method ◽  
Sampling Technique ◽  
Primary Data ◽  
Good Service ◽  
Analysis Techniques ◽  
User Community ◽  
Customer Perceptions ◽  
Level Of Satisfaction

Good service quality in public services will give an impetus to the user community to give a good assessment. Good service by the State Civil Servants (ASN) in the Transportation Obligatory Licensing Unit (UPAKWU) in the Karanganyar District Transportation Department was apparently still receiving complaints from the service user community. This shows that there are still some shortcomings in the implementation of the service system in the office. The sampling technique uses accidental sampling method. The data used are primary data obtained directly from respondents by providing a list of questions or questionnaires. Data analysis techniques using Importance-Performance Analysis (IPA) are used to measure the level of satisfaction of someone over the performance of other parties, and Cartesian Diagrams to determine service indicators that satisfy or do not satisfy consumers. The results showed that: Service quality in UPAKWU Karanganyar Regency according to customer perceptions has not been satisfactory, despite having good service performance / above average. This is based on the results of the Importance Performance Analysis analysis which gets a result of 94.36% (Total Tki

A Distinct Type of Online Group for Customer Knowledge Innovation: The Virtual Product User Community

Libri ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Xuguang Li ◽  
Andrew Cox
Keyword(s):  
Virtual Communities ◽  
Virtual Community ◽  
Distinct Type ◽  
Technical Problems ◽  
User Community ◽  
Customer Group ◽  
Knowledge Innovation ◽  
Classification Framework ◽  
User Communities ◽  
Virtual Product

Abstract Among online communities of customers there are a number of different types of group that need to be distinguished. One interesting type are virtual product user communities, i.e. company sponsored online forums where product users share usage experience and collaboratively construct new knowledge to solve technical problems. The purpose of this paper is to show that these “virtual product user communities” are a distinct type of customer group with knowledge innovation capability. The research adopts a method combining observation and content analysis of discussion threads where technical problems are solved, complemented by thematic analysis of interviews with forum members to explore its character, especially its knowledge related attributes. The paper confirms empirically that the virtual product user community is a distinct type of virtual community and can be differentiated from other virtual communities of consumers. In addition, an enhanced classification framework, extending Porter’s (2004) classic 5Ps model, is proposed to highlight knowledge-related activities in virtual communities. Of particular interest is that the findings suggest that knowledge-related activities should be considered as an important attribute in defining and classifying virtual communities. In terms of practical implications, it is recommended that the virtual product user community should be given appropriate support from top management in order to fully exploit its knowledge innovation value. Moreover, tailored facilitation strategies to promote knowledge construction activities and community development can be developed in accordance with its unique attributes. The paper precisely distinguishes one specific type of innovative virtual community consisting of product users from other online customer communities. Moreover, it outlines a revised virtual community classification framework, which can be widely applied in analysing features of online groups. Its key attribute of knowledge-related activity redirects attention to virtual communities’ knowledge innovation capabilities.

Research, Extension, and Community Interaction for Economic Decision Making

1983 ◽  
Vol 14 (2) ◽  
pp. 107-113 ◽  
Author(s):  
John A. Kuehn ◽  
Marlys K. Nelson ◽  
Bob McGill
Keyword(s):  
Decision Making ◽  
Economic Decision ◽  
Community Interaction ◽  
Economic Decision Making
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