1. Road tests of self-driving vehicles: Affective and cognitive pathways in acceptance formation

    • Motivation: autonomous vehicles
    • Research gap: the pathways (affective vs. cognitive) that guide people’s acceptance of road tests (ART) for self-driving vehicles (SDVs) and behavioral intention (BI) to use SDVs
    • Findings: two behavioral responses (i.e., ART and BI) based on the trust heuristic and affect heuristic.

  2. Does scientist immigration harm US science? An examination of the knowledge spillover channel

    • Motivation: scientist immigration
    • Research gaps: The recruitment of foreign-trained scientists enhances US science through an expanded workforce but could also cause harm by displacing better connected domestically-trained scientists, thereby reducing localized knowledge spillovers.
    • Findings: we do not find evidence that foreign-trained scientists harm US science by crowding out better-connected domestically-trained scientists, measured by citations by the US scientific community to their publications.

  3. International research collaboration: Novelty, conventionality, and atypicality in knowledge recombination

    • Motivation: International research collaboration
    • Research gaps: this article tests for novelty and conventionality in international research collaboration.
    • Findings:
      • Scholars have found that coauthored articles are more novel and have suggested that diverse groups have a greater chance of producing creative work.
      • international collaboration appears to produce less novel and more conventional knowledge combinations.
      • Higher citations to international work may be explained by an audience effect.

  4. Research joint ventures and technological proximity

    • Motivation: Research joint ventures
    • Research gap: knowledge spillovers increase with the technological proximity between firms.
    • Findings:
      • (i) RJVs do not generally outperform competitive research with respect to innovative output and social welfare;
      • (ii) technological proximity and the intensity of collaboration play a decisive role for the private and social benefits of a RJV;
      • (iii) joint research combined with complete knowledge sharing does not generally outperform less intensive collaboration forms.

  5. [Enriched LDA (ELDA): Combination of latent Dirichlet allocation with word co-occurrence analysis for aspect extraction]

    • Motivation: Aspect extraction
    • Research gap: Current aspect extraction techniques are mostly based on topic models; however, employing only topic models causes incoherent aspects to be generated.
    • Proposed method: this paper aims to discover more precise aspects by incorporating co-occurrence relations as prior domain knowledge into the Latent Dirichlet Allocation (LDA) topic model.

  6. TelCoVis: Visual Exploration of Co-occurrence in Urban Human Mobility Based on Telco Data

    • Motivation: co-occurrence in urban human mobility
    • Research gap: widespread use of mobile phone, lack of systematic and efficient methods to analysis
    • Proposed method: TelCoVis, an interactive visual analytics system, which helps analysts leverage their domain knowledge to gain insight into the co-occurrence in urban human mobility based on telco data.