Elevating Information System Performance: A Deep Dive into Quality Metrics
In today's digital age, information systems (IS) are indispensable tools for organizations of all sizes. The quality of these systems, encompassing system, information, and service dimensions, significantly impacts organizational performance. This study investigates the intricate relationships...
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| creator | Abdullah, Dana A Khidir, Hewir A Maolood, Ismail Y Ameen, Aso K Hamad, Dana Rasul Beitolahi, Hakem Saed Abdullah, Abdulhady Abas Rashid, Tarik Ahmed Shakor, Mohammed Y |
| description | In today's digital age, information systems (IS) are indispensable tools for
organizations of all sizes. The quality of these systems, encompassing system,
information, and service dimensions, significantly impacts organizational
performance. This study investigates the intricate relationships between these
three quality dimensions and their collective influence on key performance
indicators such as customer satisfaction and operational efficiency. By
conducting a comparative analysis of various quality metrics, we aim to
identify the most effective indicators for assessing IS quality. Our research
contributes to the field by providing actionable insights for researchers or
practitioners to develop the implementation, evaluation and design of
information systems. Also, a quantitative study employing a structured
questionnaire survey was conducted to achieve primary data from respondents
across various sectors. Statistical analysis, including Cronbach's Alpha
(0.953) and factor analysis (KMO = 0.965, Bartlett's Test p < 0.000), revealed
strong interdependencies among System Quality (SQ), Information Quality (IQ),
and Service Quality (SerQ). The results demonstrate that high SQ leads to
improved IQ, which in turn contributes to enhanced SerQ and user satisfaction.
While all three qualities are crucial, SerQ emerges as the most relevant
indicator of overall system performance due to its broader representation of
quality dimensions |
| doi_str_mv | 10.48550/arxiv.2412.18512 |
| format | Article |
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organizations of all sizes. The quality of these systems, encompassing system,
information, and service dimensions, significantly impacts organizational
performance. This study investigates the intricate relationships between these
three quality dimensions and their collective influence on key performance
indicators such as customer satisfaction and operational efficiency. By
conducting a comparative analysis of various quality metrics, we aim to
identify the most effective indicators for assessing IS quality. Our research
contributes to the field by providing actionable insights for researchers or
practitioners to develop the implementation, evaluation and design of
information systems. Also, a quantitative study employing a structured
questionnaire survey was conducted to achieve primary data from respondents
across various sectors. Statistical analysis, including Cronbach's Alpha
(0.953) and factor analysis (KMO = 0.965, Bartlett's Test p < 0.000), revealed
strong interdependencies among System Quality (SQ), Information Quality (IQ),
and Service Quality (SerQ). The results demonstrate that high SQ leads to
improved IQ, which in turn contributes to enhanced SerQ and user satisfaction.
While all three qualities are crucial, SerQ emerges as the most relevant
indicator of overall system performance due to its broader representation of
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organizations of all sizes. The quality of these systems, encompassing system,
information, and service dimensions, significantly impacts organizational
performance. This study investigates the intricate relationships between these
three quality dimensions and their collective influence on key performance
indicators such as customer satisfaction and operational efficiency. By
conducting a comparative analysis of various quality metrics, we aim to
identify the most effective indicators for assessing IS quality. Our research
contributes to the field by providing actionable insights for researchers or
practitioners to develop the implementation, evaluation and design of
information systems. Also, a quantitative study employing a structured
questionnaire survey was conducted to achieve primary data from respondents
across various sectors. Statistical analysis, including Cronbach's Alpha
(0.953) and factor analysis (KMO = 0.965, Bartlett's Test p < 0.000), revealed
strong interdependencies among System Quality (SQ), Information Quality (IQ),
and Service Quality (SerQ). The results demonstrate that high SQ leads to
improved IQ, which in turn contributes to enhanced SerQ and user satisfaction.
While all three qualities are crucial, SerQ emerges as the most relevant
indicator of overall system performance due to its broader representation of
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organizations of all sizes. The quality of these systems, encompassing system,
information, and service dimensions, significantly impacts organizational
performance. This study investigates the intricate relationships between these
three quality dimensions and their collective influence on key performance
indicators such as customer satisfaction and operational efficiency. By
conducting a comparative analysis of various quality metrics, we aim to
identify the most effective indicators for assessing IS quality. Our research
contributes to the field by providing actionable insights for researchers or
practitioners to develop the implementation, evaluation and design of
information systems. Also, a quantitative study employing a structured
questionnaire survey was conducted to achieve primary data from respondents
across various sectors. Statistical analysis, including Cronbach's Alpha
(0.953) and factor analysis (KMO = 0.965, Bartlett's Test p < 0.000), revealed
strong interdependencies among System Quality (SQ), Information Quality (IQ),
and Service Quality (SerQ). The results demonstrate that high SQ leads to
improved IQ, which in turn contributes to enhanced SerQ and user satisfaction.
While all three qualities are crucial, SerQ emerges as the most relevant
indicator of overall system performance due to its broader representation of
quality dimensions</abstract><doi>10.48550/arxiv.2412.18512</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Computer Science - Computers and Society Computer Science - Human-Computer Interaction |
| title | Elevating Information System Performance: A Deep Dive into Quality Metrics |
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