Advancing PR measurement and evaluation: Demonstrating the properties and assessment of variance-based structural equation models using an example study on corporate reputation

Ingenhoff, Diana; Buhmann, Alexander

doi:10.1016/j.pubrev.2015.11.010

Cited by 15 publications

(7 citation statements)

References 68 publications

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“…Ringle, Sarstedt and Schlittgen, 2014;Henseler et al, 2012;Henseler, Ringle and Sarstedt, 2016), tutorial articles (e.g. Ingenhoff and Buhmann, 2016;Henseler, Hubona and Ray, 2016a;Nitzl et al, 2016), review articles (e.g. Hair, Sarstedt, Pieper and Ringle, 2012;Hair, Sarstedt, Ringle and Mena, 2012;Kaufmann and Gaeckler, 2015), and theory papers on the method (e.g.…”

Section: Social Network Analysis 21 Datamentioning

confidence: 99%

Methodological research on partial least squares structural equation modeling (PLS-SEM)

Khan

Sarstedt

Shiau

et al. 2019

INTR

294

159

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Purpose The purpose of this paper is to explore the knowledge infrastructure of methodological research on partial least squares structural equation modeling (PLS-SEM) from a network point of view. The analysis involves the structures of authors, institutions, countries and co-citation networks, and discloses trending developments in the field. Design/methodology/approach Based on bibliometric data downloaded from the Web of Science, the authors apply various social network analysis (SNA) and visualization tools to examine the structure of knowledge networks of the PLS-SEM domain. Specifically, the authors investigate the PLS-SEM knowledge network by analyzing 84 methodological studies published in 39 journals by 145 authors from 106 institutions. Findings The analysis reveals that specific authors dominate the network, whereas most authors work in isolated groups, loosely connected to the network’s focal authors. Besides presenting the results of a country level analysis, the research also identifies journals that play a key role in disseminating knowledge in the network. Finally, a burst detection analysis indicates that method comparisons and extensions, for example, to estimate common factor model data or to leverage PLS-SEM’s predictive capabilities, feature prominently in recent research. Originality/value Addressing the limitations of prior systematic literature reviews on the PLS-SEM method, this is the first study to apply SNA to reveal the interrelated structures and properties of PLS-SEM’s research domain.

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Section: Social Network Analysis 21 Datamentioning

confidence: 99%

Methodological research on partial least squares structural equation modeling (PLS-SEM)

Khan

Sarstedt

Shiau

et al. 2019

INTR

294

159

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“…The existing literature offers various components of reputation, regardless of its bearers, such as functional, social and expressive (Eisenegger and Imhof, 2008). Functional reputation refers to meeting expectations with regard to performance, while social refers to ethical responsibilities (Ingenhoff and Buhmann, 2016). Expressive reputation, on the other hand, suggests the character and identity of the reputation bearer, rooted in emotional attractiveness reflected in the mind of individuals (Eisenegger and Imhof, 2008).…”

Section: Literature Reviewmentioning

confidence: 99%

Shared meaning at the intersection of NPO reputation and trust: a personification perspective

Türkel

Uzunoğlu

Kip

2020

CCIJ

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PurposeThe purpose of this paper is to unearth common perceptions of non-profit organization (NPO) trust and reputation, with a specific focus in their overlaps and intersections. Examining the two concepts in tandem allows a more comprehensive approach offering new insights.Design/methodology/approachThis study is devoted to the analysis of the interplay of NPO trust and reputation combining semantic network analysis with a personification approach. The data are collected via semi-structured interviews with 482 individuals.FindingsThe present results reveal both common (e.g. charitable, credible) and unique (e.g. illuminating, nice) personality traits. Findings also demonstrate that reputation is a broader concept than trust, with more characteristics. Moreover, it is possible to state that NPOs deemed reputable have a 50% chance of being trusted.Research limitations/implicationsClearly delineating the relationship between the concepts of NPO trust and reputation has certain conceptual significance and practical value. As traits are grouped in the existing taxonomy categories based on the analysis, it could contribute to improving understanding of these constructs, as well as a modification in the existing classification.Practical implicationsThis study aims to assist NPO managers by providing a list of ideal traits for NPO reputation and trust. It can serve as a guide for managers to assess their own perceptions, for comparison with those of competitors.Originality/valueTo the authors' knowledge, this study is the first attempt to provide an interrelated perspective to the study of NPO trust and reputation through semantic network and personification approach.

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“…There is extensive literature on how to construct models to manage perceptions (Elshwikh, 2017;Ingenhoff and Buhmann, 2016;Money et al, 2010) and much research has been done on reputation management (Eckert, 2017). Reputation models have identified the causes of this in terms of the good or bad experiences of stakeholders with firms, and their consequences in terms of favourable or unfavourable attitudes towards the brand, but without considering the economic impact (Ponzi et al, 2011;Money et al, 2010).…”

Section: Conceptual Background Models To Manage the Relational Intangibles Assets In Digital Environmentsmentioning

confidence: 99%

“…According to Ingenhoff and Buhmann (2016), the methodology most commonly used by the authors to validate both the models and the relationships between assets is the structural equation model (PLS-SEM) or regression and correlations approaches (Vig et al, 2017). Although these methodologies may establish multiple relationships between variables, they present fragmented and static views of reality.…”

Section: Reputational Intelligencementioning

confidence: 99%

Reputational intelligence: innovating brand management through social media data

Casado-Molina

Ramos

Rojas-de-Gracia

et al. 2019

IMDS

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Purpose Companies are currently facing the challenge of understanding how their business is affected by the large volume of opinions continually generated by their stakeholders in social media regarding their intangible assets (experiences, emotions and attitudes). With this in mind, the purpose of this paper is to present an innovative management model, named E2AB, to measure and analyse reputational intangibles from digital ecosystems and their impacts on tangible assets. Design/methodology/approach The methodology applied was big data and business intelligence techniques. These methods were used in the computing process to obtain daily data from every asset guarantees that the model is validated with robust data. This model has been corroborated using data from the banking sector, specifically 402,383 net data inputs from the digital ecosystems. Findings This study illustrates the existence of a holistic influence of intangible assets over tangible assets. The findings demonstrate complex relationships between tangible and intangible assets, determined not only by the type of variable but also by its valence and intensity. Practical implications These findings may help chief communication officers and general managers a better understanding of how intangible assets extracted from online users’ opinions are related to their organisation’s tangible assets plus a chance to find out about their impact and how to manage them for a practical and agile decision making in real time. Originality/value It is a pioneering work in establishing a model, which demonstrates transversal and holistic relationships between relational intangible and tangible assets of firms from digital ecosystems, using business intelligence techniques.

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Advancing PR measurement and evaluation: Demonstrating the properties and assessment of variance-based structural equation models using an example study on corporate reputation

Cited by 15 publications

References 68 publications

Methodological research on partial least squares structural equation modeling (PLS-SEM)

Methodological research on partial least squares structural equation modeling (PLS-SEM)

Shared meaning at the intersection of NPO reputation and trust: a personification perspective

Reputational intelligence: innovating brand management through social media data

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