scholarly journals Footwear Design Strategies for the Thai Footwear Industry to Be Excellent in the World Market

2020 ◽  
Vol 6 (1) ◽  
pp. 5
Author(s):  
Adul Adulyanukosol ◽  
Thanin Silpcharu
Keyword(s):  
Product Design ◽  
Structural Equation ◽  
Structured Interview ◽  
World Market ◽  
Sustainable Growth ◽  
Equation Modeling ◽  
Design Strategies ◽  
Footwear Industry ◽  
The World ◽  
Footwear Design

The potential of Thai industrial product design is still inferior to that of the leading competitors in the world market, which gives more importance to design during the product development to increase Thailand’s competitive edge on a commercial scale. Product design is a very important part of sustainable growth in this industry. Thus, this research aims at investigating footwear design strategies for the Thai footwear industry to be excellent in the world market. The research has been designed with a mixed method of both qualitative and quantitative study. The quantitative data were collected through a semi-structured interview of 500 designers who presented their designs to join an award competition. The results reveal that the footwear design strategies consisted of four factors: (1) design, (2) market analysis, (3) innovation, and (4) information technology. This paper utilizes the method of structural equation modeling (SEM) to establish a strategic model for competitive advantage in the Thai footwear industry. The analysis results indicate that the footwear design strategies model could help make more effective policies and organization strategies for enterprises and designers to develop themselves towards excellence in the world market.

scholarly journals Footwear Design Strategies for Thai Footwear Industry to Be Excellence in World Market

2019 ◽  
Author(s):  
Adul Adulyanukosol ◽  
Thanin Silpcharu
Keyword(s):  
Product Design ◽  
Structural Equation ◽  
World Market ◽  
Structure Interview ◽  
Sustainable Growth ◽  
Equation Modeling ◽  
Design Strategies ◽  
Footwear Industry ◽  
Semi Structure Interview ◽  
Footwear Design

The potential of Thai industrial product design is still inferior to those of leading competitors in world market that give more importance on the design during their product development to increase their competitive edges on commercial scale. The product design is very important part for sustainable growth in this industry. Thus, this research aims at investigating footwear design strategies for Thai footwear industry to be excellence in world market. The research has been designed with the mixed method of both qualitative and quantitative study. The quantitative data were collected through semi-structure interview from 500 designers who presented their designs to join the award competition. The results revealed that the footwear design strategies consisted of 4 factors, i.e. 1) design, 2) market analysis, 3) innovation, and 4) information technology. This paper utilizes the method of Structural Equation Modeling (SEM) to establish a strategies model for competitive advantage in Thai footwear industry. The analysis results indicated that the footwear design strategies model could help make more effective policies and organization strategies for enterprises and designers to develop themselves to be excellence in world market.

scholarly journals Analysis of Corporate Social Responsibility Execution Effects on Purchase Intention with the Moderating Role of Customer Awareness

2021 ◽  
Vol 13 (8) ◽  
pp. 4548
Author(s):  
Qingyu Zhang ◽  
Sohail Ahmad
Keyword(s):  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Purchase Intention ◽  
Structural Equation ◽  
Sustainable Growth ◽  
Equation Modeling ◽  
Future Research ◽  
Purchasing Intention ◽  
Corporate Social ◽  
Moderating Role

Corporate social responsibility (CSR) in management domains is a well-known concept that links corporate interests and environmental/community values. CSR is considered a strategic policy that offers environmental and social competitive advantages. Organizations consider that CSR-based goodwill provides a tactical competitive edge and sustainable growth. The goal of this paper is to show how CSR programs affect consumers’ purchasing intention in the context of Pakistan. In addition, the effect of customer awareness has been studied as a moderator between CSR and purchasing intention. To this end, the study has conducted a survey and gathered Pakistani customers’ responses, and structural equation modeling has been used to evaluate the results. The study concludes that CSR activities favorably affect customer purchasing intentions directly as well as indirectly through improving brand image and trust, and customer awareness of CSR activities plays a moderating role. The implications and future research directions are discussed.

On the Structure of Affect

2021 ◽  
Vol 229 (1) ◽  
pp. 24-37 ◽  
Author(s):  
Nadine Wedderhoff ◽  
Timo Gnambs ◽  
Oliver Wedderhoff ◽  
Tanja Burgard ◽  
Michael Bošnjak
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Factor Model ◽  
Self Report ◽  
Equation Modeling ◽  
Positive And Negative Affect ◽  
Correlation Matrices ◽  
The World ◽  
Best Fit ◽  
Cross National

Abstract. The Positive and Negative Affect Schedule (PANAS; Watson et al., 1988 ) is a popular self-report questionnaire that is administered all over the world. Though originally developed to measure two independent factors, different models have been proposed in the literature. Comparisons among alternative models as well as analyses concerning their robustness in cross-national research have left an inconclusive picture. Therefore, the present study evaluates the dimensionality of the PANAS and differences between English and translated versions of the PANAS using a meta-analytic structural equation modeling approach. Correlation matrices from 57 independent samples ( N = 54,043) were pooled across subsamples. For both English and non-English samples, a correlated two-factor model including correlated uniquenesses provided the best fit. However, measurement invariance analyses indicated differences in factor loadings between subsamples. Thus, cross-national application of the PANAS might only be justified if measurement equivalence was explicitly tested for the countries at hand.

scholarly journals Leaders’ Image Concerns Is Moderator to Interfere with Leader Career Role and Leader Impression Management

2016 ◽  
Vol 11 (5) ◽  
pp. 121
Author(s):  
Mei-Mei Lin
Keyword(s):  
Structural Equation Modeling ◽  
Impression Management ◽  
Structural Equation ◽  
Skill Training ◽  
Equation Modeling ◽  
Management Problem ◽  
Personal Character ◽  
The World ◽  
Relationship Of ◽  
The Relationship

<p>There is no same image who displayed out in the world because Leader career roles developed always leans on personal character, but it could describe as each person trend to play some a particular role. However the career role developed by nature and environment, impression management upon nurture education and skill training meanwhile involve with final result so that this work supposes career role would significant influence impression management. Hence image could be control if who would like to mold into a particular image on purpose for achievement. In addition to leaders in organization always have more pressure than employees whether performance or profit especial in such economic hardship. So that this work assumes leader career role significant affect to leader impression management and leaders’ image concerns is moderator to interfere with the relationship of these two aspects. At last this work assays hypotheses successful via structural equation modeling. According to the result, this work looks forward to make industries to clear up management problem and digs out more potential crises.</p>

scholarly journals Cyber-Empathic Design: A Data Driven Framework for Product Design

2016 ◽  
Author(s):  
Dipanjan D. Ghosh ◽  
Junghan Kim ◽  
Andrew Olewnik ◽  
Arun Lakshmanan ◽  
Kemper E. Lewis
Keyword(s):  
Product Design ◽  
Structural Equation ◽  
Design Space ◽  
Equation Modeling ◽  
Design Decision ◽  
Interaction Data ◽  
Model Framework ◽  
Empathic Design ◽  
Product Interaction

One of the critical tasks in product design is to map information from the consumer space to the design space. Currently, this process is largely dependent on the designer to identify and map how psychological and consumer level factors relate to engineered product attributes. In this way current methodologies lack provision to test a designer’s cognitive reasoning and could therefore introduce bias while mapping from consumer to design space. Also, current dominant frameworks do not include user-product interaction data in design decision making and neither do they assist designers in understanding why a consumer has a particular perception about a product. This paper proposes a new framework — Cyber-Empathic Design — where user-product interaction data is acquired via embedded sensors in the products. To understand the motivations behind consumer perceptions, a network of latent constructs is used which forms a causal model framework. Structural Equation Modeling is used as the parameter estimation and hypothesis testing technique making the framework falsifiable in nature. To demonstrate the framework and demonstrate its effectiveness a case study of sensor integrated shoes is presented in this work, where two models are compared — one survey based and using the Cyber-Empathic framework model. It is shown that the Cyber-Empathic framework results in improved fit. The case study also demonstrates the technique to test a designers’ cognitive hypothesis.

Does product design matter? Exploring its influences in consumers’ psychological responses and brand loyalty

2018 ◽  
Vol 31 (3) ◽  
pp. 886-907 ◽  
Author(s):  
Chia-Lin Hsu ◽  
Yen-Chun Chen ◽  
Tai-Ning Yang ◽  
Wei-Ko Lin ◽  
Yi-Hsuan Liu
Keyword(s):  
Product Design ◽  
Brand Loyalty ◽  
Structural Equation ◽  
Brand Management ◽  
Affective Response ◽  
Equation Modeling ◽  
Psychological Responses ◽  
Cognitive Response ◽  
Cross Sectional ◽  
Content Type

Purpose Unique product design is a highlight of sustainable branding. The purpose of this paper is to investigate whether product design affects customers’ psychological responses (i.e. cognitive and affective responses) to smartphones, and, in turn, affects their brand loyalty (i.e. attitudinal and behavioral brand loyalty), further advancing the knowledge of product design and brand management. Design/methodology/approach This work used survey data from 456 Taiwanese with experience using smartphone. Structural equation modeling was employed to test the proposed model and hypotheses. Findings The results indicate that the product design significantly affects both cognitive response and affective response, which, in turn, significantly affect both attitudinal brand loyalty and behavioral brand loyalty. The findings also suggest that the moderating effect of product involvement on the relationship between product design and affective response is statistically significant, although it does not positively and significantly moderate the link between product design and cognitive response. Research limitations/implications This study has two main limitations. First, this study was conducted in the context of smartphones, thus potentially constraining the generalization of the results to other industries. Second, the data in this study were obtained from a cross-sectional design. Practical implications These findings can permit companies to generate more brand loyalty in their customers and guide their management of assets and marketing activities. Originality/value This paper presents new insights into the nature and importance of product design in brand value.

Influence research of multi-dimensional tech-innovation behavior on tech-innovation performance

2016 ◽  
Vol 8 (2) ◽  
pp. 148-160 ◽  
Author(s):  
Fu-li Zhou ◽  
Xu Wang ◽  
Yun Lin ◽  
Yan-dong He ◽  
Nan Wu
Keyword(s):  
Economic Performance ◽  
Environmental Performance ◽  
Structural Equation ◽  
Structured Interview ◽  
Innovation Performance ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Innovation Activity ◽  
Content Type ◽  
Innovation Behavior

Purpose The purpose of this study is to investigate the research on the influence of tech-innovation behavior on tech-innovation performance for Chinese manufacturing enterprises. Environmental performance has been taken into consideration with the green manufacturing and sustainability philosophy being a hotspot. Design/methodology/approach To verify the hypotheses and assumptions, a questionnaire was designed and a semi-structured interview was conducted for data collection. In addition, structural equation modeling (SEM) is applied to verify the influence model through assessing the fitting indexes based on the 317 questionnaire responses in the form of Likert-type scale. Findings Tech-innovation behavior and activity from direction, mode and investment behavior dimensions show their different positive influences on tech-innovation performance. This paper has creatively taken environmental tech-innovation performance into consideration, as well as economic performance. This investigation has provided the interpretation for each individual enterprise from three dimensions when conducting tech-innovation activity. Research limitations/implications Tech-innovation behavior, which has been a subject of extended discussion during recent decades, is the effective activity or action for tech-innovation. However, there have not been any studies on the environmental performance influence study, as well as the economic performance from these three dimensions and framework. Practical implications As this paper discusses the tech-innovation performance influence study from three dimensions, individual enterprises can choose the corresponding action for the proper tech-innovation path, especially for small- and medium-sized enterprises. Originality/value This study helps managers recognize tech-innovation activities for better tech-innovation performance based on the empirical study.

scholarly journals Influences on Attitudes Regarding Potential COVID-19 Vaccination in the United States

Vaccines ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 582 ◽  
Author(s):  
Kendall Pogue ◽  
Jamie L. Jensen ◽  
Carter K. Stancil ◽  
Daniel G. Ferguson ◽  
Savannah J. Hughes ◽  
...  
Keyword(s):  
United States ◽  
Structural Equation Modeling ◽  
Side Effects ◽  
Structural Equation ◽  
The United States ◽  
Equation Modeling ◽  
Vaccine Acceptance ◽  
The World ◽  
Short And Long Term

The COVID-19 pandemic continues to ravage the world, with the United States being highly affected. A vaccine provides the best hope for a permanent solution to controlling the pandemic. However, to be effective, a vaccine must be accepted and used by a large majority of the population. The aim of this study was to understand the attitudes towards and obstacles facing vaccination with a potential COVID-19 vaccine. To measure these attitudes a survey was administered to 316 respondents across the United States by a survey corporation. Structural equation modeling was used to analyze the relationships of several factors with attitudes toward potential COVID-19 vaccination. Prior vaccine usage and attitudes predicted attitudes towards COVID-19 vaccination. Assessment of the severity of COVID-19 for the United States was also predictive. Approximately 68% of all respondents were supportive of being vaccinated for COVID-19, but side effects, efficacy and length of testing remained concerns. Longer testing, increased efficacy and development in the United States were significantly associated with increased vaccine acceptance. Messages promoting COVID-19 vaccination should seek to alleviate the concerns of those who are already vaccine-hesitant. Messaging directed at the benefits of vaccination for the United States as a country would address the second predictive factor. Enough time should be taken to allay concerns about both short- and long-term side effects before a vaccine is released.

Understanding Discipline in Families of Children with Attention-Deficit/Hyperactivity Disorder: A Structural Equation Model

2009 ◽  
Vol 12 (2) ◽  
pp. 496-505 ◽  
Author(s):  
Ana Miranda ◽  
Dolores Grau ◽  
Jesús Rosel ◽  
Amanda Meliá
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Parenting Stress ◽  
Attention Deficit ◽  
Structural Equation ◽  
Structured Interview ◽  
Stress Index ◽  
Equation Modeling ◽  
Parental Discipline ◽  
Hyperactivity Disorder ◽  
Parent Domain

One hundred and fifty-five mothers of children with attention deficit/hyperactivity disorder (ADHD) completed a semi-structured interview, the Parenting Stress Index Questionnaire (Abidin, 1990), to evaluate parenting stress. The Parenting Scale (Arnold, O'Leary, Wolff & Acker, 1993) was also administered to measure dysfunctional discipline strategies. Structural equation modeling was used to test a model in which the independent variables were the Child's Characteristics and the Socio-Educational Status of his or her family; intermediate variables were Parenting Stress concerning the Child Domain and concerning the Parent Domain; and the dependent variable was Parental Discipline. The results confirm our hypotheses. Interventions in these families should therefore incorporate a component focused on Parenting Stress (in both the Child Domain and the Parent Domain), as a determinant of Parental Discipline.

An Analysis of the World Health Organization Disability Assessment Schedule 2.0 Measurement Model Using Partial Least Squares–Structural Equation Modeling

Assessment ◽  
2019 ◽  
Vol 27 (8) ◽  
pp. 1731-1747 ◽  
Author(s):  
Saundra M. Tabet ◽  
Glenn W. Lambie ◽  
Shiva Jahani ◽  
S. Mostafa Rasoolimanesh
Keyword(s):  
Structural Equation Modeling ◽  
World Health Organization ◽  
Structural Equation ◽  
Measurement Model ◽  
World Health ◽  
Equation Modeling ◽  
Disability Assessment ◽  
Whodas 2.0 ◽  
The World ◽  
Health Organization

The researchers examined the factor structure and model specifications of the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) with confirmatory tetrad analysis (CTA) using partial least squares–structural equation modeling (PLS-SEM) with a sample of adult clients ( N = 298) receiving individual therapy at a university-based counseling research center. The CTA and PLS-SEM results identified the formative nature of the WHODAS 2.0 subscale scores, supporting an alternative measurement model of the WHODAS 2.0 scores as a second-order formative–formative model.

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