cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25440/smu.21731504
title: Data from: Employer image within and across industries: Moving beyond assessing points-of-relevance to identifying points-of-difference

description: The data that support the findings of this study are available from the corresponding author upon reasonable request and approval of the HR consultancy firm the data were obtained from. The Mplus code for the CFA and multilevel analyses is available at: https://osf.io/6f47s/ This study draws from brand positioning research to introduce the notions of points-of-relevance and points-of-difference to employer image research. Similar to prior research, this means that we start by investigating the relevant image attributes (points-of-relevance) that potential applicants use for judging organizations' attractiveness as an employer. However, we go beyond past research by examining whether the same points-of-relevance are used within and across industries. Next, we further extend current research by identifying which of the relevant image attributes also serve as points-of-difference for distinguishing between organizations and industries. The sample consisted of 24 organizations from 6 industries (total <em>N</em> = 7171). As a first key result, across industries and organizations, individuals attached similar importance to the same instrumental (job content, working conditions, and compensation) and symbolic (innovativeness, gentleness, and competence) image attributes in judging organizational attractiveness. Second, organizations and industries varied significantly on both instrumental and symbolic image attributes, with job content and innovativeness emerging as the strongest points-of-difference. Third, most image attributes showed greater variation between industries than between organizations, pointing at the importance of studying employer image at the industry level. Implications for recruitment research, employer branding, and best employer competitions are discussed.
DOI: 10.25440/smu.21731504.v1
title: Data from: Employer image within and across industries: Moving beyond assessing points-of-relevance to identifying points-of-difference

description: The data that support the findings of this study are available from the corresponding author upon reasonable request and approval of the HR consultancy firm the data were obtained from. The Mplus code for the CFA and multilevel analyses is available at: https://osf.io/6f47s/ This study draws from brand positioning research to introduce the notions of points-of-relevance and points-of-difference to employer image research. Similar to prior research, this means that we start by investigating the relevant image attributes (points-of-relevance) that potential applicants use for judging organizations' attractiveness as an employer. However, we go beyond past research by examining whether the same points-of-relevance are used within and across industries. Next, we further extend current research by identifying which of the relevant image attributes also serve as points-of-difference for distinguishing between organizations and industries. The sample consisted of 24 organizations from 6 industries (total <em>N</em> = 7171). As a first key result, across industries and organizations, individuals attached similar importance to the same instrumental (job content, working conditions, and compensation) and symbolic (innovativeness, gentleness, and competence) image attributes in judging organizational attractiveness. Second, organizations and industries varied significantly on both instrumental and symbolic image attributes, with job content and innovativeness emerging as the strongest points-of-difference. Third, most image attributes showed greater variation between industries than between organizations, pointing at the importance of studying employer image at the industry level. Implications for recruitment research, employer branding, and best employer competitions are discussed.
DOI: 10.25440/smu.21731450
title: Web appendix for "Employer and internal branding research: A bibliometric analysis of 25 years"

description: <br> Purpose: In the past 25 years, employer and internal branding have grown significantly. Prior reviews tended to focus on either one of these domains. This study aims to map the intellectual structure of research on both employer branding and internal branding, thereby identifying impactful authors and journals, current and evolving themes and avenues for future research. Design/methodology/approach: Using VOSviewer and Biblioshiny software packages, a bibliometric analysis of 739 articles was conducted using various methods such as citation analysis, bibliographic coupling, cluster analysis, keyword analysis and three-field plot. The Scopus results were further validated using 297 articles produced by the Web of Science data set. It ensured the robustness of the results and generalizability of the findings across bibliometric data sets. Findings: The findings first report the impactful articles, authors and institutions of employer and internal branding research, along with popular keywords used in this area. Next, the analysis reveals four major clusters and seven subthemes (i.e. employer brand and job seekers, employer brand and employees, employer brand and international human resource management (HRM), third-party employer branding, internal branding - conceptualization/review, internal branding - antecedents and consequences, internal brand management). Early research focused more on "corporate brandings," whereas current research deals more with "employer branding: antecedents and consequences," "employer branding conceptualization/review," and "internal branding" and its subthemes. The employer and internal branding clusters have evolved largely independent from each other. This study offers future research directions and practical implications per cluster. Originality/value: To the best of the authors' knowledge, this study is the first comprehensive bibliometric analysis of both employer and internal branding research.
DOI: 10.25440/smu.21731450.v1
title: Web appendix for "Employer and internal branding research: A bibliometric analysis of 25 years"

description: <br> Purpose: In the past 25 years, employer and internal branding have grown significantly. Prior reviews tended to focus on either one of these domains. This study aims to map the intellectual structure of research on both employer branding and internal branding, thereby identifying impactful authors and journals, current and evolving themes and avenues for future research. Design/methodology/approach: Using VOSviewer and Biblioshiny software packages, a bibliometric analysis of 739 articles was conducted using various methods such as citation analysis, bibliographic coupling, cluster analysis, keyword analysis and three-field plot. The Scopus results were further validated using 297 articles produced by the Web of Science data set. It ensured the robustness of the results and generalizability of the findings across bibliometric data sets. Findings: The findings first report the impactful articles, authors and institutions of employer and internal branding research, along with popular keywords used in this area. Next, the analysis reveals four major clusters and seven subthemes (i.e. employer brand and job seekers, employer brand and employees, employer brand and international human resource management (HRM), third-party employer branding, internal branding - conceptualization/review, internal branding - antecedents and consequences, internal brand management). Early research focused more on "corporate brandings," whereas current research deals more with "employer branding: antecedents and consequences," "employer branding conceptualization/review," and "internal branding" and its subthemes. The employer and internal branding clusters have evolved largely independent from each other. This study offers future research directions and practical implications per cluster. Originality/value: To the best of the authors' knowledge, this study is the first comprehensive bibliometric analysis of both employer and internal branding research.
DOI: 10.20372/eiar-rdm/5vvpl0/a6u51r
title: EJAS 50th year anniversary special issue.pdf

description: :unav
DOI: 10.20372/eiar-rdm/5vvpl0
title: Adoption of Crop Technologies among Smallholder Farmers in Ethiopia: Implications for Research and Development

description: This paper, based on review and synthesis of adoption studies, presents the level of use of improved crop technologies as well as varietal adoption decision behavior of smallholder farmers in Ethiopia. Almost all of the crop technology adoption studies focused on improved seeds and chemical fertilizers while very few considered adoption of interrelated sustainable agricultural practices (SAPS). Information on impact of crop technology adoption on household well being,however, is scarce in Ethiopia. Agricultural technology use assessment studies in the 1980s and early 1990s were few in number and focused on documenting the efforts and lessons learned from the Comprehensive Integrated Rural Development Projects and the Minimum Package Programs. Technology adoption studies proliferated then after but most of the studies were highly location specific, depended on recall household surveys and employed small samples and hence limiting the usefulness of the studies for deriving policy recommendations. Studies conducted since 2010, however, involved many crops, utilized several complementary data collection methods including sample household surveys, community focus group discussions, expert panel judgments and DNA finger printing of seed samples collected from agricultural sample survey of the Central Statistical Agency (CSA). Furthermore, the synthesis besides providing adoption rates, illuminated many of the factors responsible for the observed low rate of adoption. The review has also brought into light methodological and empirical research gaps, if addressed, contribute to enhanced technology generation, promotion and adoption by smallholder farmers.
DOI: 10.4225/41/59fa97b9d6f46
title: articulated right cleithrum + clavicle of Gogonasus

description: This dataset is a CT scan of the articulated right cleithrum and clavicle (dermal shoulder girdle) of the tetrapodomorph Gogonasus from the Gogo Formation in Western Australia
DOI: 10.57770/tgeiso
title: Strong Facet Effects on Interfacial Charge Transfer Revealed through the Examination of Photocatalytic Activities of Various Cu2O–ZnO Heterostructures

description: supporting information
DOI: 10.57770/dqoufc
title: Suppressed ion migration in reduced-dimensional perovskites improves operating stability

description: supporting information
DOI: 10.57770/rosdhx
title: Chloride passivation of ZnO electrodes improves charge extraction in colloidal quantum dot photovoltaics

description: supporting information
DOI: 10.57770/nhilpl
title: In situ back‐contact passivation improves photovoltage and fill factor in perovskite solar cells

description: supporting information
DOI: 10.4225/41/59fa9728d225f
title: left cleithrum of Gogonaus

description: This dataset is a CT scan of the left cleithrum (component of the dermal shoulder girdle) of the tetrapodomorph Gogonasus from the Gogo Formation in Western Australia
DOI: 10.57770/paglfz
title: Efficient electrocatalytic conversion of carbon monoxide to propanol using fragmented copper

description: supporting information
DOI: 10.57770/6ufefs
title: 2D Metal Oxyhalide‐Derived Catalysts for Efficient CO2 Electroreduction

description: supporting information
DOI: 10.57770/syrsq5
title: Facet-Dependent Electrical Conductivity Properties of Cu2O Crystals.

description: supporting information
DOI: 10.57770/krb10e
title: Copper-on-nitride enhances the stable electrosynthesis of multi-carbon products from CO2

description: supporting information
DOI: 10.5517/ccdc.csd.cc2db834
title: CCDC 2214395: Experimental Crystal Structure Determination

description: Related Article: Wei-Dong Liu, Guan-Jun Li, Han Xu, Yong-Kai Deng, Ming-Hao Du, La-Sheng Long, Lan-Sun Zheng, Xiang-Jian Kong|2022|Chem.Commun.|59|346|doi:10.1039/D2CC05816B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2db845
title: CCDC 2214396: Experimental Crystal Structure Determination

description: Related Article: Wei-Dong Liu, Guan-Jun Li, Han Xu, Yong-Kai Deng, Ming-Hao Du, La-Sheng Long, Lan-Sun Zheng, Xiang-Jian Kong|2022|Chem.Commun.|59|346|doi:10.1039/D2CC05816B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2db856
title: CCDC 2214397: Experimental Crystal Structure Determination

description: Related Article: Wei-Dong Liu, Guan-Jun Li, Han Xu, Yong-Kai Deng, Ming-Hao Du, La-Sheng Long, Lan-Sun Zheng, Xiang-Jian Kong|2022|Chem.Commun.|59|346|doi:10.1039/D2CC05816B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc22cm36
title: CCDC 1917787: Experimental Crystal Structure Determination

description: Related Article: Z. Li, S. Li, P. Yang, X. Fang, Q. Wen, M. Li, W. Zhuang, J. Wu, H. Ying|2023|IUCrJ|10|52|doi:10.1107/S2052252522010442
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc26m6gj
title: CCDC 2044247: Experimental Crystal Structure Determination

description: Related Article: Z. Li, S. Li, P. Yang, X. Fang, Q. Wen, M. Li, W. Zhuang, J. Wu, H. Ying|2023|IUCrJ|10|52|doi:10.1107/S2052252522010442
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.57770/op0lwb
title: Catalyst synthesis under CO2 electroreduction favours faceting and promotes renewable fuels electrosynthesis

description: supporting information
DOI: 10.5517/ccdc.csd.cc28xsgg
title: CCDC 2113036: Experimental Crystal Structure Determination

description: Related Article: Igor Nikovskiy, Dmitry Yu. Aleshin, Valentin V. Novikov, Alexander V. Polezhaev, Ekaterina A. Khakina, Elizaveta K. Melnikova, Yulia V. Nelyubina|2022|Inorg.Chem.|61|20866|doi:10.1021/acs.inorgchem.2c03270
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28xshh
title: CCDC 2113037: Experimental Crystal Structure Determination

description: Related Article: Igor Nikovskiy, Dmitry Yu. Aleshin, Valentin V. Novikov, Alexander V. Polezhaev, Ekaterina A. Khakina, Elizaveta K. Melnikova, Yulia V. Nelyubina|2022|Inorg.Chem.|61|20866|doi:10.1021/acs.inorgchem.2c03270
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28xsjj
title: CCDC 2113038: Experimental Crystal Structure Determination

description: Related Article: Igor Nikovskiy, Dmitry Yu. Aleshin, Valentin V. Novikov, Alexander V. Polezhaev, Ekaterina A. Khakina, Elizaveta K. Melnikova, Yulia V. Nelyubina|2022|Inorg.Chem.|61|20866|doi:10.1021/acs.inorgchem.2c03270
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29knr9
title: CCDC 2132141: Experimental Crystal Structure Determination

description: Related Article: G. Zhang, X. Yang, X. Shang, W. Han, F. Wang, S. Ban, S. Zhang|2023|IUCrJ|10|66|doi:10.1107/S2052252522010983
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29knsb
title: CCDC 2132142: Experimental Crystal Structure Determination

description: Related Article: G. Zhang, X. Yang, X. Shang, W. Han, F. Wang, S. Ban, S. Zhang|2023|IUCrJ|10|66|doi:10.1107/S2052252522010983
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29kntc
title: CCDC 2132143: Experimental Crystal Structure Determination

description: Related Article: G. Zhang, X. Yang, X. Shang, W. Han, F. Wang, S. Ban, S. Zhang|2023|IUCrJ|10|66|doi:10.1107/S2052252522010983
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29knvd
title: CCDC 2132144: Experimental Crystal Structure Determination

description: Related Article: G. Zhang, X. Yang, X. Shang, W. Han, F. Wang, S. Ban, S. Zhang|2023|IUCrJ|10|66|doi:10.1107/S2052252522010983
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29knwf
title: CCDC 2132145: Experimental Crystal Structure Determination

description: Related Article: G. Zhang, X. Yang, X. Shang, W. Han, F. Wang, S. Ban, S. Zhang|2023|IUCrJ|10|66|doi:10.1107/S2052252522010983
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29knxg
title: CCDC 2132146: Experimental Crystal Structure Determination

description: Related Article: G. Zhang, X. Yang, X. Shang, W. Han, F. Wang, S. Ban, S. Zhang|2023|IUCrJ|10|66|doi:10.1107/S2052252522010983
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d8d36
title: CCDC 2212597: Experimental Crystal Structure Determination

description: Related Article: Selwin Fernando, Martina Landrini, Alceo Macchioni, David L. Hughes, Peter H. M. Budzelaar, Luca Rocchigiani|2022|Dalton Trans.|52|394|doi:10.1039/D2DT03833A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d8d69
title: CCDC 2212600: Experimental Crystal Structure Determination

description: Related Article: Selwin Fernando, Martina Landrini, Alceo Macchioni, David L. Hughes, Peter H. M. Budzelaar, Luca Rocchigiani|2022|Dalton Trans.|52|394|doi:10.1039/D2DT03833A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.57770/odtlkw
title: Metal–Organic Frameworks Mediate Cu Coordination for Selective CO2 Electroreduction

description: supporting information
DOI: 10.57770/n2mmly
title: Copper nanocavities confine intermediates for efficient electrosynthesis of C3 alcohol fuels from carbon monoxide

description: supporting information
DOI: 10.57770/nhuztb
title: Perovskite seeding growth of formamidinium-lead-iodide-based perovskites for efficient and stable solar cells

description: supporting information
DOI: 10.6084/m9.figshare.21800153
title: A subset of Glopnet dataset

description: This is a subset of Glopnet dataset, providing data on the cordinations of field sites, the two fundemental traits in leaf economic spectrum (leaf mass per area and leaf longevity), and the names of sample species