Team-level predictors of innovation at work

innovation team meta-analysis people analytics

Team processes seem to beat team composition and structure when it comes to innovation at work.


Author

Affiliation

Luděk Stehlík

 

Published

June 21, 2023

Citation

Stehlík, 2023


At least this is suggested by an interesting meta-analysis of team-level predictors of innovation at work by Hülsheger, Anderson, & Salgado (2009).

Show code
# uploading library
library(tidyverse)

# uploading data with the results of the meta-analysis 
data <- readxl::read_xlsx("./metaAnalysisResults.xlsx")
#dplyr::glimpse(data)

data %>%
  ggplot2::ggplot(aes(x = forcats::fct_reorder(variable, rho), y = rho, group = area, color = area)) +
  ggplot2::geom_point(size = 3) +
  ggplot2::geom_errorbar(aes(ymin=l95, ymax=h95), width=.2, position=position_dodge(0.05), linewidth = 1) +
  ggplot2::geom_hline(yintercept = 0, linetype = "dashed", color = "grey") +
  ggplot2::coord_flip() +
  ggplot2::scale_color_manual(values = c("Team composition and structure"="#4e79a7", "Team process" = "#f28e2b")) +
  ggplot2::labs(
    x = "",
    y = "AVERAGE CORRECTED CORRELATION",
    title = "Team-Level Predictors of Innovation at Work",
    caption = "\nThe bars around the point estimates represent the 2.5% lower and 97.5% upper limits of the 95% confidence interval.\nSource: Hülsheger, U. R., Anderson, N., & Salgado, J. F. (2009). Team-level predictors of innovation at work: A comprehensive meta-analysis spanning three decades\nof research. Journal of Applied Psychology, 94(5), 1128–1145. https://doi.org/10.1037/a0015978",
    color = ""
  ) +
  ggplot2::theme(
    plot.title = ggtext::element_markdown(face = "bold", size = 18, margin=margin(0,0,10,0)),
    plot.subtitle = element_text(color = '#2C2F46', face = "plain", size = 16, margin=margin(0,0,20,0)),
    plot.caption = element_text(color = '#2C2F46', face = "plain", size = 10, hjust = 0),
    axis.title.x.bottom = element_text(margin = margin(t = 15, r = 0, b = 0, l = 0), color = '#2C2F46', face = "plain", size = 13, lineheight = 16, hjust = 0),
    axis.title.y.left = element_text(margin = margin(t = 0, r = 15, b = 0, l = 0), color = '#2C2F46', face = "plain", size = 13, lineheight = 16, hjust = 1),
    axis.text = element_text(color = '#2C2F46', face = "plain", size = 12, lineheight = 16),
    strip.text.x = element_text(size = 13, face = "bold"),
    axis.line = element_line(colour = "#E0E1E6"),
    legend.position="top",
    legend.key = element_rect(fill = "white"),
    legend.text = element_text(size = 12),
    panel.background = element_blank(),
    panel.grid.major.y = element_blank(),
    panel.grid.major.x = element_blank(),
    panel.grid.minor = element_blank(),
    axis.ticks = element_line(color = "#E0E1E6"),
    plot.margin=unit(c(5,5,5,5),"mm"), 
    plot.title.position = "plot",
    plot.caption.position =  "plot"
  )

If that’s true, not sure whether it’s good news or bad news for companies’ innovation initiatives. Is it easier to change processes or team composition? I expect there will be a lot of “it depends” 😉 What do you think?

Footnotes

    Citation

    For attribution, please cite this work as

    Stehlík (2023, June 22). Ludek's Blog About People Analytics: Team-level predictors of innovation at work. Retrieved from https://blog-about-people-analytics.netlify.app/posts/2023-06-22-team-level-predictors-of-innovation/

    BibTeX citation

    @misc{stehlík2023team-level,
      author = {Stehlík, Luděk},
      title = {Ludek's Blog About People Analytics: Team-level predictors of innovation at work},
      url = {https://blog-about-people-analytics.netlify.app/posts/2023-06-22-team-level-predictors-of-innovation/},
      year = {2023}
    }