Identification of critical brand community variables and constructs using importance-performance analysis and neural networks

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Matti Haverila ◽  
Kai Christian Haverila ◽  
Caitlin McLaughlin
Keyword(s):  
Neural Networks ◽  
Statistical Analysis ◽  
Online Survey ◽  
Customer Engagement ◽  
Analysis Tool ◽  
Brand Community ◽  
Content Type ◽  
Target Construct ◽  
Statistical Analysis Tool ◽  
And Performance

Purpose This paper aims to use a unique statistical analysis tool to examine the importance and performance of critical brand community constructs and indicators to make concrete recommendations for brand community managers going forward. Design/methodology/approach An online survey was used to gather 501 responses from North American members of the Qualtrics panel. The data was analyzed with partial least squares (PLS) modeling software SmartPLS and neural networks available in statistical software JMP by SAS. Findings Using the brand community motives by Madupy and Cooley (2010), the results of this paper indicated that there was significant room for improvement in customer engagement. Based on further analysis, entertainment and identification with the brand community were the most important constructs in driving community engagement so that the identification construct received a “do better” ruling meaning that the improvement of the indentification construct score would enhance significantly the score of the target construct engagement score. Originality/value For brand community managers, it is important to know the true importance of the critical brand community constructs and indicators, along with an assessment of current performance. This helps to increase satisfaction and relationship quality among brand community members. The current study uses unique statistical analysis tools to make such concrete recommendations.

Setting Up and Running a Q-Methodology Study in an Online Survey Research Suite

2022 ◽  
pp. 417-451
Author(s):  
Shalin Hai-Jew
Keyword(s):  
Statistical Analysis ◽  
Survey Research ◽  
Quantitative Data ◽  
Q Methodology ◽  
Online Survey ◽  
Analysis Tool ◽  
Q Method ◽  
Statistical Analysis Tool ◽  
Q Sort ◽  
Basic Statistical Analysis

The q-method, as a graphic (visual) elicitation, has existed since the mid-1930s. Setting up a q-method, with q-sort capabilities, in an online survey platform, extends the reach of this method, even as data has to be processed in a quantitative data analytics suite. This chapter describes the setting up of a visual q-sort and the related debriefing on the Qualtrics Research Suite. The available data may be extracted and analyzed in a basic statistical analysis tool for factors and preference clusters.

Setting Up and Running a Q-Methodology Study in an Online Survey Research Suite

2019 ◽  
pp. 103-146
Keyword(s):  
Statistical Analysis ◽  
Survey Research ◽  
Quantitative Data ◽  
Q Methodology ◽  
Online Survey ◽  
Analysis Tool ◽  
Q Method ◽  
Statistical Analysis Tool ◽  
Q Sort ◽  
Basic Statistical Analysis

The q-method, as a graphic (visual) elicitation, has existed since the mid-1930s. Setting up a q-method, with q-sort capabilities, in an online survey platform, extends the reach of this method, even as data has to be processed in a quantitative data analytics suite. This chapter describes the setting up of a visual q-sort and the related debriefing on the Qualtrics Research Suite. The available data may be extracted and analyzed in a basic statistical analysis tool for factors and preference clusters.

Predicting Risk of Coronary Artery Disease from DNA Microarray-Based Genotyping Using Neural Networks and Other Statistical Analysis Tool

2003 ◽  
Vol 01 (03) ◽  
pp. 521-539 ◽  
Author(s):  
C. K. Tham ◽  
C. K. Heng ◽  
W. C. Chin
Keyword(s):  
Neural Networks ◽  
Coronary Artery Disease ◽  
Statistical Analysis ◽  
Coronary Artery ◽  
Complex Disease ◽  
Gene Marker ◽  
Analysis Tool ◽  
Novel Approach ◽  
Statistical Analysis Tool ◽  
Artery Disease

This paper presents a novel approach for complex disease prediction that we have developed, exemplified by a study on risk of coronary artery disease (CAD). This multi-disciplinary approach straddles fields of microarray technology and genetics, neural networks (NN), data mining and machine learning, as well as traditional statistical analysis techniques, namely principal components analysis (PCA) and factor analysis (FA). A description of the biological background of the study is given, followed by a detailed description of how the problem has been modeled for analyses by neural networks and FA. A committee learning approach for NN has been used to improve generalization rates. We show that our NN approach is able to yield promising prediction results despite using only the most fundamental network structures. More interestingly, through the statistical analysis process, genes of similar biological functions have been clustered. In addition, a gene marker involved in breaking down lipids has been found to be the most correlated to CAD.

scholarly journals Types of professionalization

2018 ◽  
Vol 8 (3) ◽  
pp. 298-316 ◽  
Author(s):  
Grazia Lang ◽  
Torsten Schlesinger ◽  
Markus Lamprecht ◽  
Kaisa Ruoranen ◽  
Christoffer Klenk ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Organizational Development ◽  
Online Survey ◽  
Hierarchical Cluster ◽  
Organizational Characteristics ◽  
Future Research ◽  
Content Type ◽  
Organizational Patterns ◽  
And Performance ◽  
And Cluster Analysis

Purpose The purpose of this paper is to identify types of professionalization in Swiss national sport federations (NSFs) and analyze organizational characteristics associated with specific types of professionalization. Such types reveal common patterns among the increasingly complex organizational designs of NSFs and thus contribute to the understanding of professionalization in NSFs. Design/methodology/approach An online survey of all Swiss NSFs was conducted to identify types of professionalization in these organizations using hierarchical cluster analysis, based on a multi-dimensional framework of professionalization. Findings The analysis revealed four types of professionalization: formalized NSFs managed by paid staff, NSFs managed by volunteers and a few paid staff off the field, NSFs with differing formalization and paid staff on the field, and moderately formalized NSFs managed by volunteers. The types differ in terms of the NSFs’ organizational characteristics, in particular, size, financial resources, Olympic status, and performance. Originality/value Applying factor and cluster analysis is a new approach to analyzing professionalization in NSFs that makes uncovering distinctive organizational patterns among a large number of NSFs possible. These results lay the foundation for understanding the professionalization of NSFs, counseling NSFs on their organizational development, and conducting future research on the design types of sport organizations.

The role of perceived social media agility in customer engagement

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
David Gligor ◽  
Sıddık Bozkurt
Keyword(s):  
Social Media ◽  
Online Survey ◽  
Positive Impact ◽  
Customer Engagement ◽  
Measurement Scale ◽  
Content Type ◽  
Study Results ◽  
Seeking Behavior ◽  
The Impact

Purpose The concept of agility has been applied to several domains to help firms develop the capability to quickly adjust their operations to cope and thrive in environments characterized by frequent changes. Despite the soaring number of social media users and the benefits associated with agility in other domains, the application of agility in a social media context has yet to be explored. Further, little is known about how agility in a social media context impacts desirable customer-related attributes, such as customer engagement and customer-based brand equity (CBBE). This paper aims to address this gap by adapting the construct to social media (i.e. perceived social media agility) and exploring its impact on customer engagement and CBBE. Design/methodology/approach This paper conducted an online survey with 200 adult subjects. This paper used multivariate regression analyzes to empirically test a scale for perceived social media agility and explore its impact on CBBE and customer engagement, along with the moderating role of customer change-seeking behavior. Findings The study results show that perceived social media agility directly and indirectly (through customer engagement) positively influences CBBE. Also, results show that the positive impact of perceived social media agility on CBBE is further magnified for customers high on change-seeking. However, customer change-seeking does not affect the strength or direction of the impact of perceived social media agility on customer engagement. Originality/value This paper contributes to social media literature by adapting and testing a measurement scale for the construct of perceived social media agility and exploring its role in enhancing customer engagement and CBBE.

An empirical investigation of buyer–supplier relationship typologies and their behavioral and performance outcomes

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jin Li ◽  
Linlin Chai ◽  
Chanchai Tangpong ◽  
Michelle Hong ◽  
Rodney D. Traub
Keyword(s):  
Performance Measures ◽  
Online Survey ◽  
Performance Outcomes ◽  
Superior Performance ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Content Type ◽  
Behavioral Dynamics ◽  
And Performance ◽  
Supplier Relationship

Purpose This study aims to examine empirically the existence of four classical and four emerging buyer–supplier relationship (BSR) types and how they differ in terms of behavioral dynamics and performance measures. Design/methodology/approach This study uses an online survey to collect data from 371 purchasing managers in the USA. Findings A cluster analysis statistically supports the existence of five of these eight BSR types, including strategic/bilateral partnership, market/discrete, supplier-led collaboration, captive supplier/buyer dominant and captive buyer/supplier dominant BSRs. Further, ANOVA tests show that these five BSRs differ in terms of behavioral outcomes and performance measures. Research limitations/implications This study is based on a cross-sectional survey so it cannot examine how these BSR types may evolve over time, and it is not suitable to examine some rare types of BSRs. In addition, this study does not consider contextual factors that may moderate the influence of BSR types on the behavioral dynamics and performance measures. Practical implications Managers should consider the potential to be able to develop and enhance a strategic/bilateral relationship with their supply chain partners, which in at least some circumstances can lead to superior performance results. Similar observations can be made with respect to supplier-led and, to a lesser degree, buyer-led collaboration. Originality/value Most existing research of the BSR types is largely a product of theoretical classifications, and there is also a lack of research of their performance implications. This study fills these gaps in the literature.

Oppositional loyalty as a brand identity-driven outcome: a conceptual framework and empirical evidence

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Junyun Liao ◽  
Xuebing Dong ◽  
Ziwei Luo ◽  
Rui Guo
Keyword(s):  
Community Engagement ◽  
Structural Equation ◽  
Online Survey ◽  
Identity Theory ◽  
Theoretical Framework ◽  
Brand Identity ◽  
Equation Modeling ◽  
Brand Community ◽  
Brand Identification ◽  
Content Type

Purpose Oppositional loyalty toward rival brands is prevalent. Although its antecedents have increasingly received scholarly attention, the literature is rather disparate. Based on identity theory, this study aims to propose that oppositional loyalty is a brand identity-driven outcome and provides a unified framework for understanding the formation and activation of brand identity in influencing oppositional loyalty. Design/methodology/approach Structural equation modeling was used to test the theoretical framework based on an online survey of 329 brand community members. Multigroup analysis was used to test the moderating effect of inter-consumer brand rivalry and brand community engagement. Findings The results show that self-brand similarity, brand prestige and brand uniqueness lead to consumers’ brand identity (i.e. consumer-brand identification), which, in turn, facilitates oppositional loyalty. Furthermore, the results indicate that inter-consumer brand rivalry and brand community engagement are identity-salient situations that strengthen the relationship between consumer-brand identification and oppositional loyalty. Practical implications Identity has great power in shaping consumer behaviors. Fostering consumer-brand identification is critical for firms to prevent consumers from switching to competing brands. Inter-consumer brand rivalry and brand community engagement can help firms consolidate their customer base by evoking consumers’ brand identity. Originality/value This investigation makes theoretical contributions by providing a unified theoretical framework to model the development of oppositional loyalty based on identity theory.

Operational performance measures for startups

2018 ◽  
Vol 22 (1) ◽  
pp. 31-41 ◽  
Author(s):  
Nopadol Rompho
Keyword(s):  
Performance Measures ◽  
Statistical Tests ◽  
Chief Executive ◽  
Performance Measure ◽  
Survey Method ◽  
Analysis Tool ◽  
Content Type ◽  
Perceived Importance ◽  
Large Corporations ◽  
And Performance

PurposeThe purpose of this study is to investigate the uses of performance measures in startup firms, including perceived importance and performance of those measures. Design/methodology/approachThe survey method is used in this study. Data are collected from founders/chief executive officers/managers of 110 startups in Thailand. The correlation analysis and analysis of variance techniques are used as the analysis tool in this study. FindingsThe results show that there is a positive relationship between the perceived importance and the performance of each metric. However, no significant differences are found in the importance and performance of each metric among the various stages of startups. Research limitations/implicationsBecause there are so few startups compared to large corporations, the sample size of this study is relatively small, which is a limitation for some statistical tests. Practical implicationsStartup should measure and monitor the correct metrics in a particular stage, instead of trying to perform well in all areas, which will lead them to lose focus, and possibly even fail. Results obtained from this study will aid startups in properly monitoring and managing their performance. Originality/valueUnlike large corporations, the performance measures used by startups vary, and depend on a startup’s stage and type. Because of the fact that there are much fewer startups than large corporations, there are a limited number of studies in this area. This research is among the first studies that try to investigate the uses of performance measure for this new type of organizations.

Impact of website attributes on customer engagement in banking: a solicitation of stimulus-organism-response theory

2020 ◽  
Vol 38 (6) ◽  
pp. 1279-1303 ◽  
Author(s):  
Jamid Ul Islam ◽  
Shadma Shahid ◽  
Aaleya Rasool ◽  
Zillur Rahman ◽  
Imran Khan ◽  
...  
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Customer Engagement ◽  
Equation Modeling ◽  
Relational Dynamics ◽  
Public And Private ◽  
Content Type ◽  
Website Interactivity ◽  
Customer Trust

PurposeThis paper aims to investigate how banking websites can activate customer engagement (CE) to consequently enhance customer trust and retention.Design/methodology/approachUsing an online survey, data were collected from 598 customers of various (public and private) banks in India. Structural equation modeling was used to analyze the data.FindingsResults reveal that the key website attributes viz. website interactivity, website aesthetics, customization, ease of use and telepresence positively affect CE. The results also delineate positive associations between CE, customer trust and customer retention.Research limitations/implicationsThis paper unravels that by strategically focusing on the relational dynamics of CE, banks can build trust and retain their most valuable stakeholders – the customers, thereby addressing the crucial strategic concerns of banking firms.Originality/valueThis research is the first to explore the effects of key website attributes on CE in the banking context. The undertaking of this study in an emerging economy adds further insight into CE literature by generalizing the applicability of CE studies across geographic contexts.

Organizational constraints and performance: an indirect effects model

2019 ◽  
Vol 34 (2) ◽  
pp. 79-95 ◽  
Author(s):  
Shani Pindek ◽  
David J. Howard ◽  
Alexandra Krajcevska ◽  
Paul E. Spector
Keyword(s):  
Indirect Effects ◽  
Online Survey ◽  
Content Type ◽  
Organizational Constraints ◽  
Alternative Approach ◽  
Indirect Path ◽  
Quantitative Results ◽  
And Performance ◽  
Organizational Rules ◽  
The Relationship

PurposeSurprisingly, most studies have failed to demonstrate a strong correlation between organizational constraints (conditions at work that make doing a job difficult) and job performance. The purpose of this paper is to challenge the view that constraints are a direct barrier on performance and take an alternative approach whereby constraints have an indirect effect via decreased motivation and increased workload. Further, differential effects of various constraints are examined.Design/methodology/approachQualitative and quantitative data were collected from 660 engineers licensed in the state of Florida using a single online survey.FindingsQualitative results showed that the most commonly experienced constraints were from coworkers and organizational rules and procedures. Constraints identified as having a greater detrimental effect on motivation are from the supervisor, and organizational rules and procedures. Quantitative results supported an indirect effects model that includes an indirect path via motivation, and a path via workload, which had a curvilinear component.Originality/valueThis is one of few studies to explain the relationship between constraints and performance, rather than simply estimate it. The use of mixed methods allows us to gain an in-depth understanding of constraints, and the convergence of findings across the methods increases confidence in this study’s results.

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