Special Issue on Replication (eBook, PDF)
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Replication is recognized universally throughout science as a necessity for ensuring that results are generalizable across different populations, particularly if our research is to provide real insight to today's managers. In the social sciences, the call for replication began as early as Smith (1970), with current authors and editors repeatedly echoing Smith's sentiment (e.g., Evanschitzky and Armstrong (2013), Singh, Ang, and Leong, 2003; Hunter, 2001; Wells, 2001; Tsang, and Kwan, 1999; Hubbard and Vetter, 1996; Madden, Easley, and Dunn, 1995; Lindsay and Ehrenberg, 1993; Amir and Sharon, 1...
Replication is recognized universally throughout science as a necessity for ensuring that results are generalizable across different populations, particularly if our research is to provide real insight to today's managers. In the social sciences, the call for replication began as early as Smith (1970), with current authors and editors repeatedly echoing Smith's sentiment (e.g., Evanschitzky and Armstrong (2013), Singh, Ang, and Leong, 2003; Hunter, 2001; Wells, 2001; Tsang, and Kwan, 1999; Hubbard and Vetter, 1996; Madden, Easley, and Dunn, 1995; Lindsay and Ehrenberg, 1993; Amir and Sharon, 1990; Rosenthal, 1990; Furchtgott, 1984). According to Evanschitzky and Armstrong (2013), this call for replications is driven, in part, by an inability to replicate previous results using current data (Evanschitzky and Armstrong 2010; Evanschitzky, Baumgarth, Hubbard, and Armstrong, 2007; Hubbard and Armstrong, 1994).
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