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AIS

Pacific Asia Conference on Information Systems (PACIS)

Submission deadline: 4/1/2022

Conference dates: 7/5/2022 - 7/8/2022

Research H-index
5

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 664 23 43 5
Social Sciences and Humanities 43 4 5 2
Business and Management 8 23 44 4

Call for Papers

AI-IS-ASIA (ARTIFICIAL INTELLIGENCE, INFORMATION SYSTEMS, IN PACIFIC ASIA)

The conference theme is “AI-IS-ASIA,” which means that the Pacific Asia region will be the driving force of the global economy by its powerful artificial intelligence capabilities in information systems. AI is viewed as the most advanced technology of information systems, and Pacific Asia is the region that has the greatest potential for leveraging AI to drive the growth of the economy. The first track, “Artificial Intelligence and Business Analytics,” captures this conference theme.

The conference will include a JAIS Author Development Workshop, Doctoral Consortium, Junior Faculty Consortium, and Panels, in addition to 22 tracks covering all areas of IS research.

We invite submissions in current and emerging areas of Information Systems research, especially those related to the conference theme “AI-IS-ASIA,” which reveals that the Pacific Asia region is on the rise of embracing the benefits (also suffering from its dark side) of artificial intelligence (AI), which the information system discipline should play an important role in designing, deploying, and managing.

Overview

The following ranking offers a comprehensive evaluation of scientific conferences in the field of Business and Management. This ranking was meticulously prepared by Research.com, widely regarded as one of the leading websites for science research across all major disciplines. Since 2014, Research.com has been providing trusted and authoritative data on scientific contributions, underlining its commitment to academic rigor and reliability.

Each conference’s position in this ranking is determined using a proprietary bibliometric score developed by Research.com. This score is calculated based on a combination of the estimated h-index and the number of prominent scientists who have participated in the conference over the course of the last three years. The Impact Score values presented in the ranking were collected on 2024-11-27, ensuring that the data reflects the most current and relevant insights available to the research community.

The ranking process entailed a thorough examination of more than 216 scientific conferences. These conferences were selected after a rigorous and detailed assessment of over 727 scientific documents published over the previous three years by 2,177 distinguished and influential scientists active in the domain of Business and Management. This meticulous approach underscores the extensive depth of research and careful analysis conducted by expert evaluators, ensuring only the most significant and impactful conferences are included in the final listing.

For a comprehensive overview and further details regarding the methodology used to compute the ranking scores, please visit our Methodology Page.

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing at Pacific Asia Conference on Information Systems (based on the number of publications) are:

  • Yongqiang Sun (13 papers) published 6 papers at the last edition, 3 more than at the previous edition,
  • Darshana Sedera (10 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Matthew K. O. Lee (9 papers) published 1 paper at the last edition, 4 less than at the previous edition,
  • Ron Chi-Wai Kwok (9 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Sherah Kurnia (9 papers) published 2 papers at the last edition, 1 more than at the previous edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing at Pacific Asia Conference on Information Systems (based on the number of publications) are:

  • National University of Singapore (54 papers) published 13 papers at the last edition, 3 less than at the previous edition,
  • RMIT University (43 papers) published 8 papers at the last edition, 2 more than at the previous edition,
  • Queensland University of Technology (39 papers) published 5 papers at the last edition, 7 less than at the previous edition,
  • University of Science and Technology of China (34 papers) published 10 papers at the last edition, 2 more than at the previous edition,
  • City University of Hong Kong (33 papers) published 8 papers at the last edition, 1 more than at the previous edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2015 edition, 6.25% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 30.42% were posted by at least one author from the top 10 institutions publishing at the conference. Another 13.33% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.92% of all publications and 33.33% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

The Impact of Presented Research on Real-life Business Applications

It is also important to note that the research topics discussed during the Pacific Asia Conference on Information Systems do not exist in a vacuum. They have a tangible impact on real-life business applications and significantly contribute to the shaping of business strategies across various industries. For instance, the knowledge management research can greatly influence business decision-making processes and improve operational efficiency. Marketing research, on the other hand, can steer advertising strategies and boost customer engagement. Similarly, Information Systems research is an integral part of optimizing businesses' IT infrastructure and processes, shaping their digital transformation strategies. These research topics can be particularly beneficial for students pursuing related degrees, such as business or urban planning degrees, where the knowledge acquired can be directly applied in their future professions. Schools that offer these programs, such as the urban planning degree program in North Carolina, often include topics discussed at the Pacific Asia Conference on Information Systems in their curriculum. Overall, the influence of the Pacific Asia Conference on Information Systems extends far beyond academic discourse and is embedded within the core of various industry practices. Its impact further verifies the importance of its existence for both academic and professional development.

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