scholarly journals Factors Effecting Omnichannel Customer Experience: Evidence from Fashion Retail

Information ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 12
Author(s):  
Hadiqa Riaz ◽  
Umair Baig ◽  
Ieva Meidute-Kavaliauskiene ◽  
Hassaan Ahmed
Keyword(s):  
Structural Equation ◽  
Small Sample Size ◽  
Research Work ◽  
Customer Experience ◽  
Small Sample ◽  
Customer Behavior ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Fully Integrated ◽  
Fashion Retail

This research work was designed to investigate the changing dynamics of the retail landscape driven by omnichannel retailing, and to determine the effects on the omnichannel customer’s experience. The role of omnichannel customer behavior in the relation between omnichannel retailing and customer experience was assessed through a survey of 265 omnichannel customers of different fashion retail brands in Pakistan. The results of partial least squares structural equation modeling (PLS-SEM) showed a strong mediating effect of omnichannel customer behavior in channeling the drivers of omnichannel retailing towards an enhanced customer experience. Omnichannel retailing helps to enhance the customer experience via determinants of omnichannel integration, order fulfilment, usability and seamlessness. The research findings underpin the positive significant effect of all factors of omnichannel retailing on the customer experience. Among the four omnichannel retailing constructs, seamlessness emerged as a major direct and indirect contributor, followed by omnichannel integration and usability dimensions. Notwithstanding the small sample size, this research contributes to the omnichannel retailing landscape of Pakistan’s fashion retail industry by suggesting a functional approach for creating a fully integrated shopping experience and omnichannel strategies for fashion brands. Furthermore, it will also provide brands an opportunity to strengthen their customers’ experience throughout the buying channel.

Validating the Factor Structure of the Stigma of Suicide Scale–Short Form Spanish Version Among Healthcare Students

Crisis ◽  
2020 ◽  
pp. 1-5
Author(s):  
Ruthmarie Hernández-Torres ◽  
Paola Carminelli-Corretjer ◽  
Nelmit Tollinchi-Natali ◽  
Ernesto Rosario-Hernández ◽  
Yovanska Duarté-Vélez ◽  
...  
Keyword(s):  
Factor Structure ◽  
Structural Equation ◽  
Short Form ◽  
Small Sample Size ◽  
Small Sample ◽  
Spanish Version ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Healthcare Students ◽  
Spanish Speaking

Abstract. Background: Suicide is a leading cause of death among Spanish-speaking individuals. Suicide stigma can be a risk factor for suicide. A widely used measure is the Stigma of Suicide Scale-Short Form (SOSS-SF; Batterham, Calear, & Christensen, 2013 ). Although the SOSS-SF has established psychometric properties and factor structure in other languages and cultural contexts, no evidence is available from Spanish-speaking populations. Aim: This study aims to validate a Spanish translation of the SOSS-SF among a sample of Spanish-speaking healthcare students ( N = 277). Method: We implemented a cross-sectional design with quantitative techniques. Results: Following a structural equation modeling approach, a confirmatory factor analysis (CFA) supported the three-factor model proposed by Batterham and colleagues (2013) . Limitations: The study was limited by the small sample size and recruitment by availability. Conclusion: Findings suggest that the Spanish version of the SOSS-SF is a valid and reliable tool with which to examine suicide stigma among Spanish-speaking populations.

The relationship between food heritage and clan culture: is “familiness” the missing link in SMEs?

2020 ◽  
Vol 123 (1) ◽  
pp. 337-354
Author(s):  
Fahimeh Khatami ◽  
Alberto Ferraris ◽  
Paola De Bernardi ◽  
Valter Cantino
Keyword(s):  
Structural Equation ◽  
Small Sample Size ◽  
Methodological Approach ◽  
Strong Relationship ◽  
Small Sample ◽  
Equation Modeling ◽  
Content Type ◽  
Clan Culture ◽  
The Relationship

PurposeThis paper empirically tests the relationship between food heritage, familiness, and clan culture, thus, highlighting the pivotal role of familiness in building robustly competitive food firms based on clan culture and food heritage.Design/methodology/approachThe methodological approach adopted is based on a quantitative analysis with data from one eco-tourist city in Iran (Torqabeh). In this regard, we developed a structured questionnaire surveying 98 small- and medium-sized enterprises (SMEs) operating in the food industry. We then used partial least squares structural equation modeling (PLS-SEM) to carry out the analysis.FindingsThe results indicate the significant positive relationship between food heritage and clan culture, and highlight the role of familiness as a strong mediator, which is also associated with a strong relationship between food heritage and clan culture.Research limitations/implicationsIn the present study, the main limitation was linked to the small sample size and data collection, which took place in only a single city; however, further research could overcome this limitation by investigating SMEs from a heterogeneous geographical context.Originality/valueThe value of this research relates to studies that have examined food heritage as a possible antecedent of familiness. Moreover, the novelty of this research is to study the concept of familiness in improving resource-based views and organizational theories.

What travel motivational factors influence Muslim tourists towards MMITD?

2017 ◽  
Vol 8 (1) ◽  
pp. 48-73 ◽  
Author(s):  
Muhammad Khalilur Rahman ◽  
Suhaiza Zailani ◽  
Ghazali Musa
Keyword(s):  
Structural Equation ◽  
Small Sample Size ◽  
Self Esteem ◽  
Small Sample ◽  
Motivational Factors ◽  
Equation Modeling ◽  
Tourism Destination ◽  
Content Type ◽  
The World ◽  
Managerial Implications

Purpose The World Islamic Tourism Mart in Malaysia has been attracting Muslim tourists from all over the world to choose Malaysia as their Islamic tourism destination. This paper aims to implement the concept of the travel career ladder (TCL) with the main purpose of the antecedents of travel motivation toward Malaysia for Islamic tourism destination (MMITD). Design/methodology/approach The theoretical model was tested using the structural equation modeling technique with partial least squares. A self-administered questionnaire was designed, distributed and collected from 180 effective participants who had visited Malaysia. Findings The findings revealed that the Islamic compliance with self-esteem needs, the Islamic compliance with relationship needs and the Islamic compliance with physiological needs have significant effects on Malaysia My Islamic tourism destination. Research limitations/implications The scope of this research paper is limited to TCL including the Islamic compliance issues with self-fulfillment, self-esteem, relationship, safety and physiological needs. A small sample size was obtained with participants from the Muslim countries. A future study should be comprehensively conducted on larger and diverse sampling methods with participants from the Muslim and the non-Muslim major countries, as this paper particularly discusses the theoretical and managerial implications for the anticipated future studies. Originality/value The study yet attempts on the part of academicians in Malaysia, what travel motivational factors influence Islamic tourists to travel MMITD. Based on the previous literature and researcher’s experience, it is a new phenomenon and investigation on MMITD.

scholarly journals Entrepreneurial Qualities and Small Business Growth

2015 ◽  
pp. 68-76
Author(s):  
Fatema Akter ◽  
S. M. Mujahidul lslam ◽  
SK. Kabir Ahmed
Keyword(s):  
Small Business ◽  
Structural Equation ◽  
Small Sample Size ◽  
Small Sample ◽  
Equation Modeling ◽  
Business Growth ◽  
Business World ◽  
Managerial Skills ◽  
Small Business Growth ◽  
The Impact

Purpose: In the competitive business world of today, in which flexibility, speed and adaptability are essential for survival and progress, small and medium sized enterprises (SMEs) including small business play all extremely important role in any country's economic development. Recognized the important of small to economy and individual, many previous studies have been done on the issue regarding this topic. A number of authors are concerned with explaining the factors contributed to successful of firms. However, a vast of previous literature on small entrepreneurship and business management overlooked the various factors that may influence business growth. This paper aims to advance knowledge about the relationship between entrepreneurial qualities and small business -growth by tested using Structural Equation modeling with data collected from SME finance participants. Findings: Previous works on small business area, the paper provide empirical evidence, where entrepreneurial qualities represent by various dimensions such as generic, technical and managerial skills in the direct relationship with small business growth. The findings indicate that only generic and managerial skills have positive relationship on small business growth, while technical skills have no relationship. Limitations: The small sample size which was dominated by small business was the major limitation of the study. Implications: This result can be used in the study on the impact of entrepreneurial qualities toward small business growth in the future.

Mediating effect of satisfaction in the relationship between customer experience and intention to reuse digital banks in Korea

2021 ◽  
Vol 49 (2) ◽  
pp. 1-18
Author(s):  
Jae Woo Shin
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Customer Experience ◽  
Mediating Effect ◽  
Customer Engagement ◽  
Equation Modeling ◽  
Bank Management ◽  
The Relationship ◽  
Mediation Models ◽  
Financial Technology

Digital banks based on new transaction systems, such as those developed in financial technology contexts, have begun to challenge and compete with traditional banks. Against this backdrop, in this study I examined how customer experience of digital banking, including usefulness, convenience, employee–customer engagement, and security, affected their satisfaction and reuse intention, and how customer satisfaction mediated the relationship between customer experience and reuse intention. To do this I conducted a survey with 247 Korean digital bank users. Structural equation modeling was used to test the relationships between the variables and further compare full and partial mediation models. The empirical results reveal that the four customer experience variables positively influenced reuse intention through satisfaction. These findings add to understanding of the mechanisms of customer reuse of digital banks, and provide practitioners with meaningful implications for developing strategies to improve customer and bank management.

Supply chain management practices and intellectual property protection in China

2016 ◽  
Vol 36 (2) ◽  
pp. 135-163 ◽  
Author(s):  
Lawrence D. Fredendall ◽  
Peter Letmathe ◽  
Nadine Uebe-Emden
Keyword(s):  
Return On Investment ◽  
Structural Equation ◽  
Management Practices ◽  
Small Sample Size ◽  
Small Sample ◽  
Equation Modeling ◽  
Great Effort ◽  
Content Type ◽  
Doing Business ◽  
Business In China

Purpose – The purpose of this paper is to investigate the strategy used by German Mittelstand companies to achieve a profitable business in China. It explores how those firms seek to reduce their risk of entry into this market. Design/methodology/approach – Survey data were gathered over the phone from individuals in the companies who were identified as knowledgeable contacts. Their responses were then analyzed using descriptive statistics and structural equation modeling. Findings – German Mittelstand firms that hire Chinese nationals in China obtain market knowledge and a higher return on investment than others. German managers’ efforts to understand the Chinese cultural norms increased the firm’s unwillingness to share information with others. This was probably because their concern about protecting their competitive secrets increased, so they shared less information with suppliers, which decreased their return on investment. Research limitations/implications – First, the small sample size limited the analysis. Second, there was low inter-rater reliability on multiple items, so these responses could not be analyzed. There is a need to further validate the survey, and obtain a larger sample to analyze alternative models. Practical implications – This suggests to the practitioner that while it may be relatively easy to start a manufacturing business in China, it requires great effort to manage their risk of losing corporate secrets to their competitors in China. Originality/value – This paper provides a unique set of data from practicing managers about the risks and gains from doing business in China. This data can be of use to both researchers and to practitioners and it provides a foundation to examine how the risk of losing proprietary knowledge to Chinese competitors affects business.

scholarly journals Pengaruh Motivasi Internal Dan Eksternal Terhadap Kinerja Kader Dalam Program Gebrak ( Gerakan Bersama Amankan Kehamilan Dan Persalinan) Di Wilayah Puskesmas Blabak Kabupaten Kediri

1970 ◽  
Vol 5 (1) ◽  
pp. 39
Author(s):  
Triatmi Andri Yanuarini ◽  
Reni Triwahyuningsih
Keyword(s):  
High Risk ◽  
Pregnant Women ◽  
Structural Equation ◽  
Health Workers ◽  
Small Sample Size ◽  
Small Sample ◽  
Equation Modeling ◽  
District Health ◽  
Risk Pregnancy ◽  
External Motivation

High risk pregnancy is a condition where the condition of pregnant women can cause the fetus not grow in a healthy, even death in the mother and fetus. Based on data from Kediri District Health Office in 2014 amounted to 28 187 pregnant women, while the high-risk pregnant women amounted to 5637 people (20%). Number of high risk pregnant women most at Puskesmas Blabak number of 249 people with a total cadre 110 people. Scope K1 96.2% (100%), K4 coverage 92% (95%), high-risk detection by the public 13.77% (20%), Bumil Risti handled 18.7% of health workers (20%), obstetric complications which handled 87% (80%), Assisted by health workers health facility 93% (95%). Rewards and motivation to the Posyandu cadres is very important, especially cadres escort high-risk pregnant women. In the course of the RBM awards are expected to further spur the cadres to participate in social work in order to press AKI, so that cadres can increase each year. The design used in this study is a survey research. Judging from the nature of this survey is a survey that is explanotory survey to test the truth of a hypothesis to explain the causal relationship between variables. Data collected by cross sectional namely data collection throughout the study subjects were collected directly from the respondents through kuesioner.Analisa data in this study using the program, namely Smart PLS structural equation modeling with a relatively small sample size and not membuhkan multivariate normal assumption. The results of the study are not any effect on the performance of internal motivation of cadres in the RBM program. No external motivation influence on the performance of cadres in the RBM program. External motivation has the greatest influence on the performance of cadres in the RBM program. From the results of this study are expected Department of Health and the village is expected to provide additional incentives for cadres accompanying high risk pregnant mothers.Keywords: Motivation, cadres

scholarly journals Measuring the Mediating Effect of Utilitarian Motive in the Relationship of Product Quality, Product Price with Consumer Purchase Intention

2019 ◽  
Vol 8 (2S10) ◽  
pp. 809-816
Keyword(s):  
Product Quality ◽  
Purchase Intention ◽  
Structural Equation ◽  
Research Work ◽  
Mediating Effect ◽  
Primary Data ◽  
Equation Modeling ◽  
Product Price ◽  
Quality Product ◽  
Consumer Purchase Intention

Retail business has always been an attractive business for marketers. In recent years, many research works were being carried out in the retail industry. Most of this research work was being carried out in the developed cities of India but none of the researchers has focused on smaller states or new cities of India. This research work was undertaken in the state of Chhattisgarh (Raipur, Bilaspur and Durg). The researcher has used one dependent variable (consumer purchase intention), three independent variables (product quality, product price and utilitarian motive, and one mediating variable (utilitarian motive). The researcher has used descriptive research design to undertake this work. Convenience sampling method was chosen to collect the primary data for the study. The researcher has collected data from 470 respondents, whereas 153 responses were found to be unsuitable for the study. They were found to be unengaged responses, where respondents have ticked on the answers without reading the questions. After eliminating these questionnaires, the researcher is left with 317 responses. Then the researcher has used confirmatory factor analysis (CFA) to check the validity and reliability of the constructs. Thereafter, the researcher has used structural equation modeling to test the hypothesis.

scholarly journals Understanding Factors Affecting Innovation Resistance of Mobile Payments in Taiwan: An Integrative Perspective

Mathematics ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1841
Author(s):  
Kuo Cheng Chung ◽  
Silvia Wan-Ju Liang
Keyword(s):  
Financial Services ◽  
Structural Equation ◽  
Small Sample Size ◽  
Psychological Needs ◽  
Small Sample ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Factors Affecting ◽  
Customer Perspective ◽  
Willingness To Use

Mobile payment is a new payment method that provides opportunities for the financial services industry and involves various payment mediums. There are numerous drivers and barriers that influence customers’ willingness to use mobile payment. Previous studies have focused upon the motivations which facilitate its usage, but this study takes the opposite viewpoint and seeks to understand and classify the resistance to mobile payment from the customer perspective. Structural equation modeling (SEM) was used to analyze the data. More specifically, due to the small sample size, the study employed the Partial Least Squares (PLS) technique. A total of 348 valid samples were collected. Self-determination is an antecedent of innovation resistance theory and further affects the intention to use the mobile payment approach. The conclusion is that resistance to new products will reduce as consumers’ psychological needs are fulfilled. Several theoretical and practical implications are discussed for the mobile payment resistance.

scholarly journals A Practical Guide to Variable Selection in Structural Equation Modeling by Using Regularized Multiple-Indicators, Multiple-Causes Models

2019 ◽  
Vol 2 (1) ◽  
pp. 55-76 ◽  
Author(s):  
Ross Jacobucci ◽  
Andreas M. Brandmaier ◽  
Rogier A. Kievit
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Short Term Memory ◽  
Small Sample Size ◽  
Small Sample ◽  
Model Complexity ◽  
Equation Modeling ◽  
Linear Regression Models ◽  
Demographic Correlates

Methodological innovations have allowed researchers to consider increasingly sophisticated statistical models that are better in line with the complexities of real-world behavioral data. However, despite these powerful new analytic approaches, sample sizes may not always be sufficiently large to deal with the increase in model complexity. This difficult modeling scenario entails large models with a limited number of observations given the number of parameters. Here, we describe a particular strategy to overcome this challenge: regularization, a method of penalizing model complexity during estimation. Regularization has proven to be a viable option for estimating parameters in this small-sample, many-predictors setting, but so far it has been used mostly in linear regression models. We show how to integrate regularization within structural equation models, a popular analytic approach in psychology. We first describe the rationale behind regularization in regression contexts and how it can be extended to regularized structural equation modeling. We then evaluate our approach using a simulation study, showing that regularized structural equation modeling outperforms traditional structural equation modeling in situations with a large number of predictors and a small sample size. Next, we illustrate the power of this approach in two empirical examples: modeling the neural determinants of visual short-term memory and identifying demographic correlates of stress, anxiety, and depression.

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