Leadership and quality management measurement models: an empirical study

2019 ◽  
Vol 33 (1) ◽  
pp. 52-66
Author(s):  
Natkamol Chansatitporn ◽  
Vallerut Pobkeeree
Keyword(s):  
Factor Analysis ◽  
Longitudinal Study ◽  
Quality Management ◽  
Structural Equation ◽  
Equation Modeling ◽  
Future Research ◽  
Content Type ◽  
Leadership Attributes ◽  
Staff Members ◽  
Measurement Models

Purpose The purpose of this paper is to explore, confirm and verify leadership with regards to quality management measurement models. This research focused on identifying individual staff members’ leadership attributes at the Thai National Institute of Health in relation to quality management. Design/methodology/approach The research instrument used in this study was a modified questionnaire on self-leadership and quality management that was distributed to the institute’s staff. Leadership and quality management construct variables were observed and measured through staff perceptions, attitudes, practices and existing facts at the institute. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to examine the data. Findings The questionnaire had a 65 percent response rate. EFA revealed six factors from 27 questionnaire items and CFA was used to confirm the measurement models that were fitted to the data. The leadership attributes of staff members at the institute were statistically associated to and impacted on quality management by SEM analysis. Research limitations/implications In-depth understanding of leadership and quality management could be done through a longitudinal study because the two factors would change over time. Even though this model is not a longitudinal study, it could help the institute facilitate and manage quality in practice through leadership. Originality/value A cross-sectional study is used to examine the effect of leadership on quality management through factor analysis and SEM, which provided empirical evidence for future research. Leadership and quality management measurement models have statistically proven to be appropriately, technically and theoretically correct by design for observing variables used in the leadership measurement model that affects quality management.

The relationship between EFQM enablers and business performance

2019 ◽  
Vol 30 (4) ◽  
pp. 684-706 ◽  
Author(s):  
Dimitrios Kafetzopoulos ◽  
Katerina Gotzamani ◽  
Dimitrios Skalkos
Keyword(s):  
Factor Analysis ◽  
Quality Management ◽  
Business Performance ◽  
Innovation Performance ◽  
Equation Modeling ◽  
Future Research ◽  
Content Type ◽  
Mediating Role ◽  
Efqm Model

PurposeThe purpose of this paper is to examine the extent to which the five European Foundation for Quality Management (EFQM) model enablers, as the latent factor “enabler excellence,” are associated with business performance, taking into consideration the mediating role of innovation in this relationship.Design/methodology/approachThe analysis followed in order to investigate the relations among the various constructs of the proposed model includes an initial exploratory factor analysis, followed by confirmatory factor analysis and finally structural equation modeling.FindingsAccording to the study findings, “enabler excellence” and innovation performance directly contribute to business performance. Moreover, this paper concludes that innovation performance partially mediates the effect of excellence enablers on business performance.Research limitations/implicationsThis study does not separate between radical and incremental innovation; thus, it would be very interesting to explore this issue in future research. Moreover, it might be useful for researchers to reassess the proposed relationships examining the mediating role of organizational culture.Practical implicationsThis study offers clear implications for managers, proving that they should give higher emphasis on quality management (QM) and the four dimensions of innovation in order to achieve increased performance.Originality/valueBased on the multidimensional structure of the EFQM model, this empirical study determines the contribution of QM to business performance taking into consideration the role of innovation performance as a mediator in this relationship.

Lean management and innovation performance

2019 ◽  
Vol 42 (2) ◽  
pp. 239-262 ◽  
Author(s):  
Ayman Bahjat Abdallah ◽  
Samer Eid Dahiyat ◽  
Yoshiki Matsui
Keyword(s):  
Factor Analysis ◽  
Continuous Improvement ◽  
Structural Equation ◽  
Innovation Performance ◽  
Incremental Innovation ◽  
Equation Modeling ◽  
Future Research ◽  
Lean Management ◽  
Manufacturing Companies ◽  
Content Type

Purpose The purpose of this paper is to explore the effects of innovation orientation (IO) on both the implementation levels of soft and hard lean management (LM), as well as innovation performance. It also aims at exploring the effects of soft and hard LM on innovation performance. Design/methodology/approach The study analyzes survey data collected as a part of a high-performance manufacturing (HPM) project from 238 international manufacturing companies in eight countries and three industries. Exploratory factor analysis and confirmatory factor analysis were applied to assess construct validity. The study hypotheses were tested using structural equation modeling. Findings The results demonstrated that innovation-oriented companies tend to adopt aspects of both soft and hard LM. However, the results revealed an insignificant effect of soft and hard LM on innovation performance. The study also showed that innovation performance is positively influenced by an IO. These results indicate that having an IO is vital for enhancing both LM as well as innovation performance. They also evidently suggest that LM is more related to continuous improvement (incremental innovation) rather than (radical) innovation and, as such, is not important for firm’s intent on enhancing their innovation performance. Practical implications The current study demonstrates that IO and LM are complementary and not contradicting strategies. The two strategies share many cultural aspects, similarities and commonalities. However, LM is not sufficient to predict innovation performance. Managers of the surveyed manufacturing firms are advised to focus on IO, as it has beneficial impacts on both LM (continuous improvement initiatives) as well as innovation performance. This clearly indicates that placing the emphasis upon radical (innovative) improvement rather than incremental improvement (LM practices) is believed to support continuous and innovative improvement alike. Originality/value The relationship between LM and innovation is debated in the existing literature, but the debate is characterized by a lack of empirical evidence. This is one of the first studies that empirically investigates the relationships between IO, LM and innovation performance. It identifies some new insights to direct future research, particularly regarding different innovation types as well as in service organizations.

Consumer racism: a scale modification

2017 ◽  
Vol 29 (3) ◽  
pp. 616-633 ◽  
Author(s):  
Samshul-Amry Abdul-Latif ◽  
Asmat-Nizam Abdul-Talib
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Measurement Scale ◽  
Equation Modeling ◽  
Future Research ◽  
Content Type ◽  
Consumer Ethnocentrism ◽  
Consumer Animosity ◽  
Confirmatory Factor ◽  
Racial Context

Purpose Consumer racism describes the act of purchase discrimination based on ethnic and/or cultural differences. As the original consumer racism scale was developed based on a western context and environment, most of its items may be unsuitable for use in certain non-western countries. The purpose of this paper is to modify the existing consumer racism scale to include the elements of inter-ethnic relationships, historical occurrences and political situations, which are crucial in shaping and influencing racism in a multi-religion and multi-racial context. Design/methodology/approach After generating new items and retaining or removing others for a modified consumer racism scale, exploratory factor analysis (EFA) is performed based on 145 respondents followed by confirmatory factor analysis (CFA) based on 176 respondents. The modified scale, including two other related constructs (consumer ethnocentrism and consumer animosity), is then tested through structural equation modeling (SEM) using WarpPLS 5.0 and data from 495 respondents. Findings EFA and CFA results suggest that the modified eight-item consumer racism scale is applicable in a multi-ethnic scenario. However, SEM findings contradict previous studies; thus, discussion of the possible effects of consumer racism is based on two different approaches. Research limitations/implications Future research could be expanded into other ethnic groups and countries, and/or to different products, categories and brands. Originality/value The main contributions of this study are the validation of the modified measurement scale and demonstration of its applicability in a multi-ethnic scenario. The study is based on data from a multi-ethnic, multi-religion and multi-cultural country: Malaysia.

Celebrity Worship Among University Students in Malaysia

2011 ◽  
Vol 16 (4) ◽  
pp. 334-342 ◽  
Author(s):  
Viren Swami ◽  
Tomas Chamorro-Premuzic ◽  
Khairul Mastor ◽  
Fatin Hazwani Siran ◽  
Mohammad Mohsein Mohammad Said ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Attitude Scale ◽  
Equation Modeling ◽  
Future Research ◽  
The West ◽  
Factor Solution ◽  
Movie Stars ◽  
Three Factor

The present study examined conceptual issues surrounding celebrity worship in a Malay-speaking population. In total, 512 Malay and 269 Chinese participants from Malaysia indicated who their favorite celebrity was and completed the Celebrity Attitude Scale (CAS) as well as a range of demographic items. Results showed that the majority of Malay and Chinese participants selected pop stars and movie stars as their favourite celebrities, mirroring findings in Western settings. In addition, exploratory factor analysis revealed a three-factor solution of the CAS that was consistent with previous studies conducted in the West. Structural equation modeling further revealed that participant’s age was negatively associated with celebrity worship and that self-rated attractiveness was positively associated with celebrity worship. Overall, the present results suggest that celebrity worship in Malaysia may be driven by market and media forces, and future research may well be guided by use of the CAS.

Event innovation induced corporate branding

2017 ◽  
Vol 29 (3) ◽  
pp. 862-882 ◽  
Author(s):  
Fiona X. Yang ◽  
Sherry Xiuchang Tan
Keyword(s):  
Corporate Branding ◽  
Structural Equation ◽  
Corporate Image ◽  
The Body ◽  
Equation Modeling ◽  
Future Research ◽  
Event Management ◽  
Content Type ◽  
Body Of Knowledge ◽  
Corporate Loyalty

Purpose This paper aims to empirically investigate how event innovation may induce desirable corporate branding. Design/methodology/approach A survey yielded 280 complete responses from tourists who had attended an event in Macau. Structural equation modeling was used to test the innovation-corporate loyalty framework through perceived event value and corporate image, with a multi-group comparison to examine differences between first-time and repeat customers. Findings The results indicate that innovation is not only the key to value enhancement of the event but also an efficacious instrument of branding the parent company and building corporate loyalty; only product-related innovation has a significant impact on event value; both functional and emotional values induce a more favorable corporate image; and event-induced corporate branding is more effective in securing repeat business than attracting new clientele. Practical implications The findings help hospitality operators and event planners to leverage innovative events for corporate branding and cater to different customer segments by providing distinct marketing strategies. Originality/value The study contributes to the body of knowledge regarding event management and corporate branding and sheds light on future research to explore the initiative and benefit of pushing forward event innovation.

Consumers’ self-congruence with a “Liked” brand

2017 ◽  
Vol 51 (2) ◽  
pp. 367-390 ◽  
Author(s):  
Elaine Wallace ◽  
Isabel Buil ◽  
Leslie de Chernatony
Keyword(s):  
Social Relations ◽  
Brand Loyalty ◽  
Structural Equation ◽  
Large Scale ◽  
Equation Modeling ◽  
Future Research ◽  
Tie Strength ◽  
Brand Love ◽  
Content Type ◽  
Self Image

Purpose Brand “Likes” on Facebook facilitate self-expression, forming part of consumers’ virtual selves. Yet, consumers’ brand “Likes” may bear little resemblance to their material realities. This paper aims to test similarities of brand image with self-image for Facebook “Likes” to determine whether self-congruence with a “Liked” brand leads to positive offline brand outcomes. It also investigates whether consumers’ perceptions about their Facebook social relations influence self-congruent brand “Likes”. Design/methodology/approach A large-scale survey was conducted of regular Facebook users who “Liked” brands. Data from 438 respondents was analysed and hypotheses tested using structural equation modeling. Findings Empirical results show that the perceived self-congruence with a “Liked” brand increases with social tie strength. Perceived social tie strength is informed by perceived attitude homophily. When the perceived self-congruence with a “Liked” brand is higher, brand love and word of mouth (WOM) are enhanced. Consumers also have greater brand loyalty and offer more WOM when brands are loved. Research limitations/implications Findings demonstrate the influence of consumers’ cognitive network on “Likes” and brand outcomes. Further replication would enhance generalisability. Future research should use a wider sample and investigate other variables. Practical implications Findings support managers seeking to grow and analyse Facebook “Likes” by providing insights into brand loyalty, brand love and WOM for “Liked” brands. Originality/value The paper addresses the dearth of research exploring how consumers’ perceptions of their Facebook network influence their online brand behaviour and how perceived self-congruence with a “Liked” brand relates to brand outcomes.

scholarly journals Examining the ParticipACTION brand using the brand equity pyramid

2018 ◽  
Vol 8 (4) ◽  
pp. 378-396 ◽  
Author(s):  
Alexander Lithopoulos ◽  
Peter A. Dacin ◽  
Tanya R. Berry ◽  
Guy Faulkner ◽  
Norm O’Reilly ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Brand Equity ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Equation Modeling ◽  
Content Type ◽  
Activity Promotion ◽  
Confirmatory Factor

Purpose The brand equity pyramid is a theory that explains how people develop loyalty and an attachment to a brand. The purpose of this study is to test whether the predictions made by the theory hold when applied to the brand of ParticipACTION, a Canadian non-profit organization that promotes active living. A secondary objective was to test whether this theory predicted intentions to be more physically active. Design/methodology/approach A research agency conducted a cross-sectional, online brand health survey on behalf of ParticipACTION. Exploratory factor analysis and confirmatory factor analysis established the factor structure. Structural equation modeling was used to test the hypothesized model. Findings A nationally representative sample of Canadian adults (N = 1,191) completed the survey. Exploratory factor analysis and confirmatory factor analysis supported a hypothesized five-factor brand equity framework (i.e. brand identity, brand meaning, brand responses, brand resonance and intentions). A series of structural equation models also provided support for the hypothesized relationships between the variables. Practical implications Though preliminary, the results provide a guide for understanding the branding process in the activity-promotion context. The constructs identified as being influential in this process can be targeted by activity-promotion organizations to improve brand strength. A strong organizational brand could augment activity-promotion interventions. A strong brand may also help the organization better compete against other brands promoting messages that are antithetical to their own. Originality/value This is the first study to test the brand equity pyramid using an activity-promotion brand. Results demonstrate that the brand equity pyramid may be useful in this context.

scholarly journals Multi‐dimensional nature of service innovation

2011 ◽  
Vol 31 (11) ◽  
pp. 1164-1192 ◽  
Author(s):  
Renu Agarwal ◽  
Willem Selen
Keyword(s):  
Factor Analysis ◽  
Empirical Data ◽  
Structural Equation ◽  
Service Innovation ◽  
Telecommunications Industry ◽  
Equation Model ◽  
Future Research ◽  
Extensive Literature ◽  
Service Network ◽  
Content Type

PurposeInnovation in services is thought to be multi‐dimensional in nature, and in this context the purpose of this paper is to present and operationalise the concept of “elevated service offerings” (ESO) in collaborating service organisations. ESO stands for new or enhanced service offerings which can only be eventuated as a result of partnering, and which could not be delivered on individual organisational merit. ESO helps us expand our understanding of service innovation to include a service network or service system's dimension.Design/methodology/approachA structural equation model is specified and estimated based on constructs and relationships grounded in the literature, as well as self‐developed constructs, using empirical data from 449 respondents in an Australian telecommunications service provider (SP) and its partnering organisations.FindingsResults show that ESO is a multi‐dimensional construct which was operationalised and validated through an extensive literature review, exploratory factor analysis, confirmatory factor analysis, and structural equation modelling using a holdout sample.Research limitations/implicationsQualitative and empirical data analysis was undertaken with data collected from a single large telecommunications SP organisation, and its partnering organisations. Future research may seek to collect data from the entire telecommunications industry sector and their partnering organisations, across other service sectors, or even any other organisation where collaboration is pivotal to their success.Practical implicationsService organisations today need to understand that innovation in services is not just about process or product innovation, or even performance and productivity improvements, but in fact includes organisational forms of innovation. Indeed, the interactions and complementarities between the three different aspects of ESO – strategic, productivity, and performance – highlight the increasing complex and multi‐dimensional character of innovation and the ongoing iterative process.Originality/valueThis research provides empirical evidence for the existence of a multi‐dimensional innovation in services construct – known as elevated service offerings in a collaborative service network, along with an adapted definition of service and a service innovation model.

Identifying and treating unobserved heterogeneity with FIMIX-PLS

2016 ◽  
Vol 28 (2) ◽  
pp. 208-224 ◽  
Author(s):  
Lucy M. Matthews ◽  
Marko Sarstedt ◽  
Joseph F. Hair ◽  
Christian M. Ringle
Keyword(s):  
Structural Equation ◽  
Latent Class ◽  
Structural Model ◽  
Unobserved Heterogeneity ◽  
Equation Modeling ◽  
Content Type ◽  
Measurement Models ◽  
European Business ◽  
Number Of Segments

Purpose Part I of this article (European Business Review, Volume 28, Issue 1) offered an overview of unobserved heterogeneity in the context of partial least squares structural equation modeling (PLS-SEM), its prevalence and challenges for social sciences researchers. This paper aims to provide an example that explains how to identify and treat unobserved heterogeneity in PLS-SEM by using the finite mixture PLS (FIMIX-PLS) module in the SmartPLS 3 software (Part II). Design/methodology/approach This case study illustrates the application of FIMIX-PLS using a popular corporate reputation model. Findings The case study demonstrates the capability of FIMIX-PLS to identify whether unobserved heterogeneity significantly affects structural model relationships. Furthermore, it shows that FIMIX-PLS is particularly useful for determining the number of segments to extract from the data. Research limitations/implications Since the introduction of FIMIX-PLS, a range of alternative latent class techniques has appeared. These techniques address some of the limitations of the approach relating to, for example, its failure to handle heterogeneity in measurement models, or its distributional assumptions. This research discusses alternative latent class techniques and calls for the joint use of FIMIX-PLS and PLS prediction-oriented segmentation. Originality/value This article is the first to offer researchers, who have not been exposed to the method, an introduction to FIMIX-PLS. Based on a state-of-the-art review of the technique, the paper offers a step-by-step tutorial on how to use FIMIX-PLS by using the SmartPLS 3 software.

The effect of clustering on competitiveness improvement in Hebron

2017 ◽  
Vol 28 (5) ◽  
pp. 631-654 ◽  
Author(s):  
Ibrahim M. Awad ◽  
Alaa A. Amro
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Model Building ◽  
Measurement Model ◽  
Background Information ◽  
Equation Modeling ◽  
Future Research ◽  
Research Model ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to map the cluster in the leather and shoes sector for improving the competitiveness of the firms. Toward this end, the study is organized to examine the impact of clustering on competitiveness improvement. The influence of competitive elements and performance (Porter’s diamond) and balanced score card was utilized. Design/methodology/approach A random sample of 131 respondents was chosen during the period from May 2016 to July 2016. A structural equation modeling (SEM) analysis was applied to investigate the research model. This approach was chosen because of its ability to test casual relationships between constructs with multiple measurement items. Researchers proposed a two-stage model-building process for applying SEM. The measurement model was first examined for instrument validation, followed by an analysis of the structural model for testing associations hypothesized by the research model. Findings The main findings show that there is a unidirectional causal relationship between improvements of performance and achieve competitiveness and also reveal that the Palestinian shoes and leather cluster sector is vital and strong, and conclude that clustering can achieve competitiveness for small- and medium-sized enterprises. Research limitations/implications Future research can examine the relationship between clustering and innovation. The effect of clustering using other clustering models other than Porter’s model is advised to be used for future research. Practical implications The relationships among clustering and competitiveness may provide a practical clue to both, policymakers and researchers on how cluster enhances economic firms such as a skilled workforce, research, development capacity, and infrastructure. This is likely to create assets such as trust, synergy, collaboration and cooperation for improved competitiveness. Originality/value The findings of this study provide background information that can simultaneously be used to analyze relationships among factors of innovation, customer’s satisfaction, internal business and financial performance. This study also identified several essential factors in successful firms, and discussed the implications of these factors for developing organizational strategies to encourage and foster competitiveness.

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