scholarly journals Consumer Perceived Value of Organic Vegetables: Does Ethnic Group Matter?

2021 ◽  
Vol 29 (1) ◽  
Author(s):  
Ong Choon Hee ◽  
Tan Koh Lin
Keyword(s):  
Least Squares ◽  
Ethnic Groups ◽  
Partial Least Squares ◽  
Group Analysis ◽  
Perceived Value ◽  
Equation Modeling ◽  
Essential Information ◽  
New Findings ◽  
Organic Vegetables

This study examined the role of ethnic groups on factors influencing the perceived value of organic vegetables among consumers in Malaysia. An online survey questionnaire collected 385 responses. Partial least squares-structural equation modeling (PLS-SEM) was used to assess the validity, reliability, hypothesis testing, importance-performance map analysis (IPMA) of the study constructs. Partial least squares-multi-group analysis (PLS-MGA) was employed to examine whether there are significant differences among various ethnic groups. The findings revealed that food safety concerns, health concerns, and trust in organic food claim significantly influenced the consumer perceived value of organic vegetables. This study offers new findings regarding the role of ethnic groups in explaining significant differences among consumers toward the perceived value of organic vegetables. It also provides essential information to the ministry of agriculture, organic farmers, dealers, and retailers in developing marketing strategies and expansion plans to achieve higher household expenditures on organic vegetables.

scholarly journals Applying the Theory of Planned Behavior to Examine Pro-Environmental Behavior: The Moderating Effect of COVID-19 Beliefs

2020 ◽  
Vol 12 (24) ◽  
pp. 10556
Author(s):  
Caterina Lucarelli ◽  
Camilla Mazzoli ◽  
Sabrina Severini
Keyword(s):  
Climate Change ◽  
Theory Of Planned Behavior ◽  
Least Squares ◽  
Partial Least Squares ◽  
Planned Behavior ◽  
Structural Equation ◽  
Environmental Behavior ◽  
Group Analysis ◽  
Policy Implications ◽  
Equation Modeling

The COVID-19 pandemic and climate change issues present evident interdependencies which justify the spread of connected beliefs. We examine possible changes in individuals’ pro-environmental behavior in light of this pandemic, using the Theory of Planned Behavior (TPB) framework. A questionnaire survey was submitted to the same sample of individuals, before and during the pandemic. Our evidence, based on Partial Least Squares Structural Equation Modeling (PLS-SEM), shows that the COVID-19 pandemic has not led to a weakening in TPB construct relationships, or in related Pro-Environmental Behavior (PEB). Conversely, through our Partial Least Squares-Multi-Group Analysis (PLS-MGA), we show that individuals with greater awareness of interdependencies between the COVID-19 and climate change exhibit both higher Intention and reinforced Pro-Environmental Behaviors. This finding reveals interesting policy implications in terms of innovative behavioral drivers that should be employed to steer public support towards climate-oriented initiatives.

Enjoyable queuing and waiting time

2017 ◽  
Vol 28 (2) ◽  
pp. 543-566 ◽  
Author(s):  
Chih-Chin Liang
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Waiting Time ◽  
Structural Equation ◽  
Group Analysis ◽  
Customer Experience ◽  
Consumer Electronics ◽  
Equation Modeling ◽  
Queuing Model ◽  
Customer Perceptions

Time theory studies abstractly argue that, depending on the customer experience, time spent waiting may be positive, negative, or even neutral, and it can affect the perceived passing of time and enjoyment of the overall customer experience. However, a company can manipulate customer perceptions of waiting time. Positive perceptions of waiting time can then be used for marketing purposes. Customer perceptions of waiting time can be reduced by making the queuing process enjoyable, by improving the waiting environment, and by making promotional activities enjoyable. To validate the aforementioned factors and develop the enjoyable queuing model, this study surveyed 1571 customers queuing at service companies in Taiwan, including 409 customers of upscale restaurants, 430 customers of restaurants, 439 customers of food stands, and 293 customers queuing at consumer electronics shops to purchase newly released iPhones. The applicability of the enjoyable queuing model was evaluated by partial least squares structural equation modeling, and group differences were evaluated by partial least squares multi-group analysis. The analytical results for each case and managerial implications are presented.

scholarly journals A Partial Least-Squares Structural Equation Modeling Approach to Investigate the Audit Expectation Gap and Its Impact on Investor Confidence: Perspectives from a Developing Country

2019 ◽  
Vol 11 (20) ◽  
pp. 5798
Author(s):  
Fengju Xu ◽  
Taslima Akther
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Financial Statements ◽  
Equation Model ◽  
Equation Modeling ◽  
Expectation Gap ◽  
Communication Audit ◽  
Independent Audit

The aim of this study is to empirically explore the existence of the audit expectation gap and its impact on investors’ confidence. As a maiden attempt to assess these relationships, we developed a model with higher order constructs using a partial least-squares structural equation model (PLS-SEM). Based on a questionnaire survey with auditors and institutional investors, as one of the main users of audited financial statements, this study explored investors’ perceptions of both unreasonable and sensible audit expectation gaps from diverse aspects. The findings of this study revealed that the existence of an audit expectation gap was negatively related to investors’ confidence, and the greater the audit expectation gap was, the lower the investors’ confidence on audit. It was also found that auditors’ perceived independence and improved level of communication were negatively related with the audit expectation gap but positively related with investors’ confidence. Moreover, the monitoring role of independent audit oversight acts as a moderator among auditors’ perceived independence, auditors’ improved level of communication, audit expectation gap, and investors’ confidence. As the innate characteristic of an audit is to resolve conflict between owners and management of the organization, this study provides insight about what the investors (owners) expect from the audit and how to mitigate those expectation gaps.

scholarly journals Investigation of the Relationship between the Perceived Public Transport Service Quality and Satisfaction: A PLS-SEM Technique

2021 ◽  
Vol 13 (23) ◽  
pp. 13018
Author(s):  
Karzan Ismael ◽  
Szabolcs Duleba
Keyword(s):  
Service Quality ◽  
Least Squares ◽  
Partial Least Squares ◽  
Public Transport ◽  
Public Transportation ◽  
Structural Equation ◽  
Group Analysis ◽  
Equation Modeling ◽  
Private Vehicle ◽  
Significant Difference

Public transportation (PT) service quality is recognized as a cornerstone of infrastructure development in many countries. Understanding the satisfaction level of public transport users towards provided service quality is vital. However, there is still a lack of research to identify the specific relationship between the experience of service quality and private vehicle (PV) users’ satisfaction. Therefore, this paper aimed to examine the different satisfaction attributes of PV users due to the COVID-19 pandemic and to make possible suggestions to policymakers on how to adapt to these changed attitudes. The paper highlights that some satisfaction issues became more significant, while the importance of others was mitigated due to the unusual circumstances. In this study, variance-based Partial Least Squares Structural Equation Modeling (PLS-SEM) was applied to test the proposed hypotheses. Further, Partial Least Squares Multi-Group Analysis (PLS-MGA) was conducted for investigating the perception of age and gender groups on the basis of gap analysis. An online panel and printed questionnaire survey were used to collect data in Budapest, Hungary in October and November 2020 during COVID-19 from the perception of 100 PV users. The findings show that perceived service quality and accessibility are statistically significant in the formation of PV users’ satisfaction but safety and security were not significantly related to satisfaction. Additionally, results from PLS-MGA reveal that there was a significant difference among gender and age groups in achieving satisfaction associated with safety and security. The conclusions of this study are not only beneficial for the theory of this field but also contribute to practice for policymakers in terms of providing better service with specific identification of how to encourage more private vehicle users to use public transportation.

scholarly journals Mediating Effect of Organisational Culture between Leadership Values on Innovation: A Partial Least Squares (PLS) Path-Modeling

2013 ◽  
Vol 63 (2) ◽  
Author(s):  
Mokhtar Abdullah ◽  
Mohd Rashid Ab Hamid ◽  
Zainol Mustafa ◽  
Fazli Idris ◽  
Nur Riza Mohd Suradi
Keyword(s):  
Organizational Culture ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Organisational Culture ◽  
Mediating Effect ◽  
Working Environment ◽  
Equation Modeling ◽  
Leadership Values

This exploratory study examined how leadership values affect innovation through organizational culture in organisations. A model of these relationships was created based on earlier research on value-based leadership and culture and a sample of 390 managers and personnel of Government-link companies in Malaysia. The model was assessed using Partial Least Squares (PLS) based Structural Equation Modeling (SEM). Analyses with the PLS technique confirmed all the hypotheses concerned. The results generally support significant relationships between leadership values, organisational culture and innovation. The study also confirmed the mediating role of organizational culture for the relationship between leadership values and innovation in organisations. The role of organizational culture is important for understanding how leadership values and innovation are related. The results of the study also suggest several aspects that may help organisations create conducive working environment supportive of innovation.

scholarly journals eWOM in C2C Platforms: Combining IAM and Customer Satisfaction to Examine the Impact on Purchase Intention

2021 ◽  
Vol 16 (5) ◽  
pp. 1612-1630
Author(s):  
Salvador Bueno ◽  
M. Dolores Gallego
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Purchase Intention ◽  
Structural Equation ◽  
Source Credibility ◽  
Positive Impact ◽  
Equation Modeling ◽  
Research Model ◽  
Argument Quality ◽  
The Impact

This study is focused on communications that come from consumer-to-consumer (C2C) ecommerce relationships. This topic is directly associated with the electronic word-of-mouth (eWOM) phenomenon. eWOM is related to the set of positive or negative opinions made by potential, actual, or former customers about a seller. The present study proposes a structural equation modeling with partial least squares (PLS-SEM) research model to analyze consumers’ opinions impact on attitude toward purchasing. This model is based on the Information Adoption Model (IAM) in combination with an ecommerce satisfaction perspective, comprising five constructs: (1) service quality, (2) ecommerce satisfaction, (3) argument quality, (4) source credibility and (5) purchase intention. The model was tested by applying the Smart Partial Least Squares (SmartPLS) software for which 116 effective data from customers of the Taobao C2C platform were used. The findings reveal that all of the defined relationships were supported, confirming the positive impact of all the proposed constructs on the purchase intention. In this respect, the findings suggest that C2C platforms should strengthen the analyzed connections to grow the business and to promote transactions. Finally, implications and limitations related to the explanatory capacity and the sample are identified.

scholarly journals The antecedents of Muslim customers’ intention to invest in an Islamic bank’s term deposits: evidence from a Muslim majority country

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sri Rahayu Hijrah Hati ◽  
Sigit Sulistiyo Wibowo ◽  
Anya Safira
Keyword(s):  
Perceived Risk ◽  
Online Survey ◽  
Perceived Value ◽  
Perceived Quality ◽  
Equation Modeling ◽  
Product Knowledge ◽  
Islamic Banks ◽  
Content Type ◽  
Islamic Bank

Purpose The purpose of this study is to examine the impacts of product knowledge, perceived quality, perceived risk and perceived value on customers’ intention to invest in Islamic Banks. This study specifically examines an Islamic bank’s term deposits. Design/methodology/approach Structural equation modeling was used to analyze the data collected from 217 customers of an Islamic bank in Indonesia using an online survey. Findings This study highlights the central and dual roles of perceived risk as both the independent and the intervening variable that mediates the relationship between product knowledge and Muslim customer intention to invest in an Islamic bank’s term deposits. Research limitations/implications This study only investigates term deposits as one type of investment in Islamic banks. This study contributes to the literature by examining the role of product knowledge, perceived quality, perceived risk and perceived value on Muslim customer intention to invest in Islamic term deposits. Practical implications The results of this study highlight the requirement for Islamic banks to educate customers to improve the depositors’ product knowledge because Muslim customers’ risk and value perception and intention are strongly influenced by product knowledge. Originality/value The investigation of perceived risk is particularly relevant for Islamic financial products because of the inherent nature of risk sharing in Islamic finance. This study investigates the role of product knowledge in influencing the Muslim customers’ perception of risk, quality, value and their intention to invest in Islamic bank term deposits. Ideally, the profit loss sharing concept (PLS) should be applied; however, in this context, revenue sharing is applied because of Indonesia’s central bank regulation.

Smart shopping: the adoption of grocery shopping apps

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lee-Andra Bruwer ◽  
Nkosivile Welcome Madinga ◽  
Nqobile Bundwini
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Latent Variables ◽  
Moderating Effect ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Grocery Shopping ◽  
Intention To Use ◽  
Content Type

PurposeThe purpose of this paper is to determine the key factors influencing the adoption of grocery shopping and to examine the moderating effect of education between antecedents of the adoption of grocery shopping apps and user attitude and intention to purchase.Design/methodology/approachThis study adopted partial least squares structural equation modeling (PLS-SEM) to evaluate the relationship between the latent variables: perceived usefulness, perceived ease of use, attitude and intention to use grocery shopping apps. Partial least squares multigroup analysis (PLS-MGA) was used to examine the moderating effect of education. A total of 305 grocery shopping apps users were surveyed using a structural questionnaire.FindingsThe results indicated that all the factors considered in the framework were significant in predicting the intention to use the grocery shopping apps. The findings show that education has no significant impact on any relationship.Practical implicationsA better understanding of the factors that affect the acceptance of mobile grocery shopping apps is important for developing better strategic management plans.Originality/valueThis is one of the first studies to research the adoption of grocery shopping apps in a developing country, as well as the first to focus on consumers in South Africa.

scholarly journals A Synthesis of Express Analytic Hierarchy Process (EAHP) and Partial Least Squares-Structural Equations Modeling (PLS-SEM) for Sustainable Construction and Demolition Waste Management Assessment: The Case of Malaysia

Recycling ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. 73
Author(s):  
Kambiz Ghafourian ◽  
Kamyar Kabirifar ◽  
Amir Mahdiyar ◽  
Maziar Yazdani ◽  
Syuhaida Ismail ◽  
...  
Keyword(s):  
Waste Management ◽  
Analytic Hierarchy Process ◽  
Least Squares ◽  
Partial Least Squares ◽  
Construction And Demolition Waste ◽  
Sustainable Construction ◽  
Equation Modeling ◽  
Demolition Waste ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Construction and demolition waste (CDW), as the main consequence of construction and demolition (C&D) activities, has severely affected our sustainability needs. However, construction and demolition waste management (CDWM) lacks the integration of sustainability concepts. Thus, there is a great need to include sustainability dimensions in CDWM to reach sustainable construction and demolition waste management (SCDWM). This study aims at empirically investigating SCDWM by analyzing the impacts of factors that contribute to sustainability aspects of CDWM on waste management hierarchy (WMH), including reduce, reuse, recycle, and disposal strategies. According to the literature, 26 factors were initially identified and grouped under four categories, namely environmental, economic, social, and administrative, that contribute to sustainability aspects of CDWM. Subsequently, a pilot test was performed to assess the significance and applicability of these factors in the Malaysian construction industry by implementing the express analytic hierarchy process (EAHP). Then, a questionnaire survey was performed to collect data from 132 construction companies involved in CDWM. Partial least squares-structural equation modeling (PLS-SEM) was used to test the hypothetical relationships by applying SmartPLS software. Results demonstrated that the economic aspect of CDWM (main category) and “public environment contamination due to illegal waste dumping” (sub-category) were the most influential factor in SCDWM in Malaysia.

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