1,721,098 research outputs found
Supplemental Material, sj-docx-3-ifl-10.1177_03400352211057148 - Information needs and delivery channels: Experimental evidence from Cambodian smallholders
No full textSupplemental Material, sj-docx-3-ifl-10.1177_03400352211057148 for Information needs and delivery channels: Experimental evidence from Cambodian smallholders by Selina Bruns, Oliver Mußhoff and Pascal Ströhlein in IFLA Journal</p
Supplemental Material, sj-docx-7-ifl-10.1177_03400352211057148 - Information needs and delivery channels: Experimental evidence from Cambodian smallholders
No full textSupplemental Material, sj-docx-7-ifl-10.1177_03400352211057148 for Information needs and delivery channels: Experimental evidence from Cambodian smallholders by Selina Bruns, Oliver Mußhoff and Pascal Ströhlein in IFLA Journal</p
Supplemental Material, sj-docx-4-ifl-10.1177_03400352211057148 - Information needs and delivery channels: Experimental evidence from Cambodian smallholders
No full textSupplemental Material, sj-docx-4-ifl-10.1177_03400352211057148 for Information needs and delivery channels: Experimental evidence from Cambodian smallholders by Selina Bruns, Oliver Mußhoff and Pascal Ströhlein in IFLA Journal</p
Supplemental Material, sj-docx-5-ifl-10.1177_03400352211057148 - Information needs and delivery channels: Experimental evidence from Cambodian smallholders
No full textSupplemental Material, sj-docx-5-ifl-10.1177_03400352211057148 for Information needs and delivery channels: Experimental evidence from Cambodian smallholders by Selina Bruns, Oliver Mußhoff and Pascal Ströhlein in IFLA Journal</p
Supplemental Material, sj-docx-2-ifl-10.1177_03400352211057148 - Information needs and delivery channels: Experimental evidence from Cambodian smallholders
No full textSupplemental Material, sj-docx-2-ifl-10.1177_03400352211057148 for Information needs and delivery channels: Experimental evidence from Cambodian smallholders by Selina Bruns, Oliver Mußhoff and Pascal Ströhlein in IFLA Journal</p
Supplemental Material, sj-docx-1-ifl-10.1177_03400352211057148 - Information needs and delivery channels: Experimental evidence from Cambodian smallholders
No full textSupplemental Material, sj-docx-1-ifl-10.1177_03400352211057148 for Information needs and delivery channels: Experimental evidence from Cambodian smallholders by Selina Bruns, Oliver Mußhoff and Pascal Ströhlein in IFLA Journal</p
Supplemental Material, sj-docx-6-ifl-10.1177_03400352211057148 - Information needs and delivery channels: Experimental evidence from Cambodian smallholders
No full textSupplemental Material, sj-docx-6-ifl-10.1177_03400352211057148 for Information needs and delivery channels: Experimental evidence from Cambodian smallholders by Selina Bruns, Oliver Mußhoff and Pascal Ströhlein in IFLA Journal</p
Estimating Investment Equations in Imperfect Capital Markets
Full text linkNumerous studies have tried to provide a better understanding of firm-level investment behaviour using econometric models. The model specification of more recent studies has been based on two main approaches. The first, the real options approach, focuses on irreversibility and uncertainty in perfect capital markets; of particular interest is the range of inaction caused by sunk costs. The second, the neo-institutional finance theory, emphasises capital market imperfections and firms’ released liquidity constraints. Empirical applications of the latter theory often refer to linear econometric models to prove these imperfections and thus do not account for the range of inaction caused by irreversibility. In this study, a generalised Tobit model based on an augmented q model is developed with the intention of considering the coexistence of irreversibility and capital market imperfections. Simulation-based experiments allow investigating the properties of this model. It can be shown how disregarding irreversibility reduces effectiveness of simpler linear models.q model, uncertainty, capital market imperfections, generalised Tobit model
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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