scholarly journals Measuring Tsunami Museum Visitor Satisfaction: An Importance Performance Map Analysis

2022 ◽  
Vol 9 (1) ◽  
Author(s):  
Cut Aprilia ◽  
Yusra Yusra ◽  
Ida Rosnita Ismail
Keyword(s):  
Visitor Satisfaction ◽  
Performance Map ◽  
Map Analysis

scholarly journals Determining the Key Capacities of Effective Leaders in Malaysian Public and Private Focused Universities

SAGE Open ◽  
2018 ◽  
Vol 8 (4) ◽  
pp. 215824401880762 ◽  
Author(s):  
Majid Ghasemy ◽  
Sufean Bin Hussin ◽  
Ahmad Zabidi Bin Abdul Razak ◽  
Mohd Jamil Bin Maah ◽  
Simin Ghavifekr
Keyword(s):  
Unobserved Heterogeneity ◽  
Finite Mixture ◽  
Future Directions ◽  
Public And Private ◽  
Leadership Performance ◽  
Managerial Competencies ◽  
Effective Leaders ◽  
Performance Map ◽  
Performance Drivers ◽  
Map Analysis

The study was undertaken to identify the essential leadership capabilities and managerial competencies as the key leadership performance drivers in Malaysian focused universities. To collect data, the previously developed scales of capabilities, competencies, and leadership performance in the context of Malaysian Higher Education (HE) were distributed among the leaders in seven public focused and 12 private focused universities. In total, 172 completed surveys were collected among which 94 had been filled out by the leaders in Malaysian public focused and 78 had been completed by leaders in private focused universities. The data were screened and SmartPLS 3 was employed to analyze the data. Also, Finite Mixture Partial Least Squares (FIMIX-PLS) segmentation and Importance–Performance Map Analysis (IPMA) were run to extend the results. The outcome of FIMIX-PLS didn’t reveal unobserved heterogeneity within the data and, through IPMA, change-oriented capability was identified as the main improvement area to be addressed by management activities. Moreover, the implications of the findings were discussed and future directions were recommended.

scholarly journals PAY SATISFACTION AND ORGANISATIONAL TRUST: AN IMPORTANCE-PERFORMANCE MAP ANALYSIS

2020 ◽  
Vol 4 (1) ◽  
pp. 1-16
Author(s):  
Gabriel C. W. Gim ◽  
Wen-Sing Cheah
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Unobserved Heterogeneity ◽  
Equation Modeling ◽  
Pay Satisfaction ◽  
Model Assessment ◽  
Four Dimensions ◽  
Performance Map ◽  
Map Analysis ◽  
Organisational Trust

Using social exchange theory and equity theory, this paper examined the relationship between the four dimensions of pay satisfaction and organisational trust among Malaysian employees. The four dimensions of pay satisfaction are pay benefit satisfaction, pay level satisfaction, pay raise satisfaction,and pay structure and administration satisfaction. Questionnaires were distributed to Malaysians working in several industries. Partial least squares structural equation modeling (PLS-SEM) was used to assess both the measurement and structural model. Results from the structural model revealed that pay benefit satisfaction, pay raise satisfaction, and pay structure and administration satisfaction were positively related to organisational trust. To complement the standard structural model assessment, robustness checks were performed on the structural model in terms of non-linear effects, endogeneity, and unobserved heterogeneity. The checks concluded that there were no issues with regards to nonlinear effects and unobserved heterogeneity. However, the endogeneity test indicated that pay structure and administration satisfaction could be endogenous. Importance-performance map analysis (IPMA) was also performed to gauge the importance and performance of each dimension of pay satisfaction against organisational trust. The IPMA results revealed that pay structure and administration satisfaction was the most important factor yet it attained the lowest score on performance indicating that organisations in Malaysia should make an improvement to their pay structure and administration satisfaction.

Importance-performance map analysis to enhance the performance of attitude towards mobile wallet adoption among Indian consumer segments

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Deepak Chawla ◽  
Himanshu Joshi
Keyword(s):  
Technology Acceptance ◽  
Hierarchical Clustering ◽  
Internet Banking ◽  
Perceived Usefulness ◽  
General Interest ◽  
Special Focus ◽  
Content Type ◽  
Performance Map ◽  
And Performance ◽  
Map Analysis

PurposeIndia has the second highest percentage of mobile wallet adoption driven by availability of affordable smartphones and Internet. Despite a general interest, studies on its adoption have been scarce. This research assumes that user segments exist, each with their own level of maturity, and addresses the question “Are there segments which can be profiled?” Thus, the objectives of the study are to propose a model that explains the attitude of user segments towards its adoption; identify probable user segments and profile them; examine the importance and performance of constructs which influence attitude within each cluster and recommend ways to improve performance.Design/methodology/approachThis paper employs the constructs from two popular theories on technology adoption, i.e. technology acceptance model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT). A synthesis of review of literature on these models, besides two focus group discussions (FGDs), was used to design a pilot instrument. A nationwide survey was conducted, and 744 responses were obtained. Convenience sampling was used to select the respondents. The average scores of various constructs were computed and subjected to hierarchical clustering. Further, k-means clustering was carried out. The demographic profiling of each cluster was done through cross-tabulation and differences related to attitude and intention between clusters were tracked by one-way Analysis of Variance (ANOVA). To determine the relative importance and performance of constructs within each cluster, Importance-Performance Map Analysis (IPMA) using Smart Partial Least Squares (PLS) was carried out.FindingsThe hierarchical clustering resulted in three clusters. The result of k-means clustering was used to label the clusters as Technology Enthusiasts (TE), Technology Sceptics (TS) and Technology Pragmatists (TP). The obtained clusters were found to differ in terms of perception, attitude, intention, behavior, marital status, education, occupation and income levels. With respect to each cluster, it was seen that the top three important constructs are Perceived Usefulness (PU), Security (SEC) and Lifestyle Compatibility (LC) as indicated by the IPMA. The findings indicate that mobile wallet providers should focus on all six constructs, with special focus on PU, SEC and LC. The findings of this study will help mobile wallet providers in customizing their offerings to enhance adoption attitude in all three clusters.Research limitations/implicationsThis study examines the perception of students and working professional towards mobile wallet adoption and uses this data for segmentation. However, there could be underlying differences between these two groups, as the motive behind adopting a technology may be different. Thus, treating them as homogenous user segments could be a limitation. Therefore, exploring segments and profiles for each type of user may be an area for future research. Mobile wallet providers should also give utmost importance to perceived usefulness, security and lifestyle compatibility while designing their services. This will not only enhance user trust and compatibility with mobile wallet but also improve the outcomes associated with its usage.Practical implicationsThis study will help mobile wallet providers understand the user segments and customize their service offerings.Originality/valueThis study provides a comparison of the respondent profiles of three obtained segments of mobile wallet users. While prior studies have identified segments associated with adoption of technologies like ATM banking, SMS banking, online banking, Internet banking, mobile banking etc., not much has been reported on mobile wallet adoption. To the best of the authors' knowledge, this is a novel study in India, aimed at identifying user clusters among adopters of mobile wallets and developing cluster profiles based on demographic, attitude and intention.

scholarly journals FACTORS IMPACTING TECHNOLOGY BUSINESS INCUBATOR PERFORMANCE

2019 ◽  
Vol 23 (01) ◽  
pp. 1950007 ◽  
Author(s):  
MUHAMMAD BINSAWAD ◽  
OSAMA SOHAIB ◽  
IGOR HAWRYSZKIEWYCZ
Keyword(s):  
Economic Growth ◽  
Diffusion Of Innovation ◽  
Structural Equation ◽  
Business Incubators ◽  
Business Incubator ◽  
Positive Effects ◽  
Equation Modelling ◽  
Performance Map ◽  
Path Modelling ◽  
Map Analysis

Technology business incubators support economic growth by developing innovative technologies. However, assessing the performance of technology business incubators in Saudi Arabia has not been well recognised. This study provides a conceptual framework for assessing technology business incubators based on knowledge sharing practices and sharing, diffusion of innovation and individual creativity. Partial least squares structural equation modelling, such as (PLS-SEM) path modelling was used to test the model. The results provide empirical insights about the performance of technology business incubators. The findings show knowledge donation and collection has positive effects on technology business incubator. The importance–performance map analysis shows additional findings and conclusions for managerial actions.

An Innovative Application of Composite-Based Structural Equation Modeling in Hospitality Research With Empirical Example

2020 ◽  
pp. 193896552095175
Author(s):  
Noppadol Manosuthi ◽  
Jin-Soo Lee ◽  
Heesup Han
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Model Fit ◽  
Equation Modeling ◽  
Simulation Studies ◽  
Path Modeling ◽  
Parameter Recovery ◽  
Performance Map ◽  
Map Analysis ◽  
Oriented Approach

Partial least squares path modeling (PLS-PM) and generalized structured component analysis (GSCA) are two key estimators derived from a full-fledged composite-based structural equation modeling (SEM). The analyses of PLS-PM and GSCA have been recently extended to mimic factor-based SEM, and the extended approaches are called PLSC and GSCAM, respectively. Simulation studies have confirmed that the relative performance of PLS-PM is comparable with that of GSCA. Similarly, GSCAM, PLSC, and the traditional factor-based SEM perform equally well in parameter recovery. Although composite-based SEM perfectly fits into the current research landscape that focuses on a prediction-oriented approach, empirical research in the hospitality context that uses PLS-PM, GSCA, PLSC, and GSCAM estimators is extremely rare. To encourage hospitality researchers to adopt these methodologies, we demonstrate an illustrative example using PLS-PM, GSCA, PLSC, and GSCAM based on the confirmatory composite analysis (CCA) procedure. Measurement and structural invariances, applications of model fit, PLSpredict, and importance-performance map analysis are incorporated into our example. Finally, practical management in the hospitality field based on this methodology is discussed.

Identification of key variables and constructs in the context of wine tasting room: importance-performance analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Matti Haverila ◽  
Kai Haverila ◽  
Jenny Carita Twyford
Keyword(s):  
Service Quality ◽  
Structural Equation ◽  
Content Type ◽  
Equation Modelling ◽  
Analysis Instrument ◽  
Indicator Variables ◽  
Performance Map ◽  
Key Variables ◽  
And Performance ◽  
Map Analysis

Purpose Relying on importance–performance theory, this paper uses a distinctive statistical analysis instrument to investigate the importance and performance of crucial wine tasting room constructs and indicators with a purpose to make real and tangible recommendations for wine tasting room managers to improve the winery visit experience. Design/methodology/approach The surveys (N = 402) were conducted among 14 wineries in British Columbia, Canada. The data was analysed by using partial least squares structural equation modelling software SmartPLS with importance–performance functionality embedded in it. Findings The findings indicate the importance and performance of the service quality constructs, assurance, empathy, reliability, responsiveness, and tangibility and their respective indicator variables in importance–performance map analysis (IPMA). The responsiveness construct showed the highest need for improvement in terms of performance of exogenous service quality constructs in wine tasting rooms. Empathy, value for money and reliability constructs got “no change” recommendation and “tangibility” and “education” recommendation. The assurance construct was not significantly related to customer satisfaction and was not included in the IPMA analysis. Originality/value The approach provides an easy to use and visual tool for wineries to assess the importance and performance of the various service quality elements. The tool provides the management of wineries guidance for the identification of strategic areas of service quality improvement.

scholarly journals Fatores críticos de sucesso na gestão de projetos: Análise dos indicadores que constituem os predecessores da estratégia, pessoas e operações

2018 ◽  
Vol 9 (3) ◽  
Author(s):  
Ronielton Rezende Oliveira ◽  
José Elenilson Cruz ◽  
Roniton Rezende Oliveira
Keyword(s):  
Structural Equation Modeling ◽  
Project Management ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Equation Modeling ◽  
Project Management Office ◽  
Performance Map ◽  
Recursos Humanos ◽  
Map Analysis

Fatores Críticos de Sucesso (FCS) representam práticas que, quando bem executadas, contribuem para aumentar as probabilidades de êxito de qualquer atividade. Na gestão de projetos podem ser utilizados para acompanhamento dos projetos, tomada de decisão e avaliação de desempenho. O estudo de abordagem quantitativa e natureza descritiva, através de survey aplicada em 115 profissionais envolvidos na gestão de projetos, identifica, dentre os indicadores utilizados para mensurar os construtos estratégia, pessoas e operações, aqueles FCS que são mais importantes para explicar o desempenho do Project Management Office, para, então, com base na relação importância-desempenho discutir os fatores que correspondem a FCS no que se refere a gestão de projetos. A pesquisa utilizou a Partial Least Squares Structural Equation Modeling e o Importance-Performance Map Analysis. Os resultados mostram que a estratégia é o preditor mais importante e seus principais FCS são a metodologia de gerenciamento de projetos, a estrutura organizacional, o alinhamento de intenções e a viabilidade econômico-financeira. Nas operações, os principais FCS são a estabilidade do ambiente de projetos sobre o gerenciamento de riscos, o sistema de gestão da qualidade, as métricas de desempenho, as auditorias e verificações das entregas e a comunicação com as partes interessadas. Para as pessoas, os principais FCS são a aquisição de competências em gestão de projetos e o treinamento dos recursos humanos, ambos na perspectiva de disseminação do conhecimento vinculado as boas práticas, metodologias, ferramentas e técnicas que favorecem a execução dos projetos.

A Second-order Model of Lean Manufacturing Implementation to Leverage Production Line Productivity with the Importance-Performance Map Analysis

2018 ◽  
Vol 19 (3_suppl) ◽  
pp. S114-S129 ◽  
Author(s):  
Gusman Nawanir ◽  
Yudi Fernando ◽  
Lim Kong Teong
Keyword(s):  
Production Line ◽  
Lean Manufacturing ◽  
Structural Equation ◽  
Second Order ◽  
Cross Sectional Survey ◽  
Product Model ◽  
Cross Sectional ◽  
Performance Map ◽  
Positive Direct ◽  
Map Analysis

The objective of this article is to examine the direct path from lean manufacturing (LM) to production line productivity using second-order analysis in a structural equation model (SEM). Data were collected from 236 large manufacturers using a cross-sectional survey. The findings confirmed the positive direct effect of LM practices on production line productivity. The outcome of importance-performance map analysis (IPMA) revealed that the productivity can be leveraged when manufacturing firms are able to produce more than one product model per day with the support of a kanban system to authorize production and material movements. LM supported by a small number of high-performance suppliers leads to improved production line productivity. This study contributes to closing existing gaps of studies investigating the effect of LM on productivity. Practitioners will benefit by understanding the vital constructs of LM practices to improve the overall productivity of a production line.

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