Abstract

The objective of this panel is to surface opportunities and address recent concerns about the use of the Partial Least Squares (PLS) statistical analysis technique within the Information Systems (IS) research arena. Since the 1990s, various researchers have tested the use of PLS under a variety of conditions with mixed results. In some instances researchers have concluded that advantages hold, and in others questions have been raised about certain advantages. Some argue that while PLS may have limitations under certain conditions, it is still preferable for use in many situations such as structural modeling with the use of secondary data. In summary, it appears the understanding of the IS field with respect to the use of PLS is in need of better insights. Though this panel will probably not resolve the issue, it is hoped that it will answer some questions and clarify other issues that need more attention.

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PLS: New Directions, New Challenges, and New Understandings

The objective of this panel is to surface opportunities and address recent concerns about the use of the Partial Least Squares (PLS) statistical analysis technique within the Information Systems (IS) research arena. Since the 1990s, various researchers have tested the use of PLS under a variety of conditions with mixed results. In some instances researchers have concluded that advantages hold, and in others questions have been raised about certain advantages. Some argue that while PLS may have limitations under certain conditions, it is still preferable for use in many situations such as structural modeling with the use of secondary data. In summary, it appears the understanding of the IS field with respect to the use of PLS is in need of better insights. Though this panel will probably not resolve the issue, it is hoped that it will answer some questions and clarify other issues that need more attention.