Malaysian SMEs m-commerce adoption: TAM 3, UTAUT 2 and TOE approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maruf Gbadebo Salimon ◽  
Olanrewaju Kareem ◽  
Sany Sanuri Mohd Mokhtar ◽  
Olayemi Abdullateef Aliyu ◽  
Jibril Adewale Bamgbade ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Sample Size ◽  
Online Survey ◽  
Computer Anxiety ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Universal Theory ◽  
Content Type ◽  
Environment Model

Purpose The purpose of this study is to examine the factors that influence Malaysian Small and Medium Enterprises (SMEs) to adopt mobile commerce (m-commerce) by integrating the constructs of Technology Acceptance Model 3 (TAM 3), Universal Theory of Acceptance and Use of Technology 2 and Technology-Organization-Environment model. Though numerous m-commerce adoption (MCA) studies have been conducted, lesser attention is paid to how hedonic motivation (HM) can influence organizational users such as SMEs. This study bridges the gap by integrating the three models to provide a new lens to guide SMEs. Design/methodology/approach To examine the factors that influence the adoption of m-commerce, the researchers collected data from SMEs in Malaysia using an online survey. The sample size of the participants was determined through the available list provided by SME Corp Malaysia. The researchers also used Krejcie and Morgan’s sample size and G * Power techniques to determine that the sample size was appropriate. The data collected were analyzed using partial least square-structural equation modeling. Findings The findings of this study reveal that technological factors (computer self-efficacy [CSE], result demonstrability [RD] and computer anxiety [CA]) positively and significantly influence MCA. Likewise, the organizational/environmental factors (m-commerce knowledge, pressure from trading partners and pressure from competitors) positively and significantly influence MCA. The moderating influence of HM was also achieved on the relationship between CSE and RD. However, the proposed hedonic moderating relationship between CA and the adoption of m-commerce is not significant. Research limitations/implications This study integrates three models to explain the adoption of m-commerce among SMEs in Malaysia and tested the moderating influence of HM. The results obtained better explain the decision by the SMEs to use m-commerce. Originality/value The study critically considered how m-commerce can be adopted by SMEs in Malaysia, which previous studies have largely ignored. Considering this, the study, therefore, advances a new relationship by integrating Technology-organization-environment model with TAM 3 and the moderating influence of HM to explain MCA among SMEs. This paper is one of the few research studies to test the moderating influence of HM in this regard.

scholarly journals Multitasking behavior in online classrooms and academic performance: case of university students in Ecuador during COVID-19 outbreak

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aldo Alvarez-Risco ◽  
Alfredo Estrada-Merino ◽  
María de las Mercedes Anderson-Seminario ◽  
Sabina Mlodzianowska ◽  
Verónica García-Ibarra ◽  
...  
Keyword(s):  
Academic Performance ◽  
University Students ◽  
Self Efficacy ◽  
Online Survey ◽  
Performance Outcomes ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Content Type ◽  
Online Classrooms

Purpose This paper aims to explore university students' multitasking behavior in online classrooms and their influence on academic performance. Also, the study examined students' opinions. Design/methodology/approach A total of 302 university students fulfilled an online survey. Ten questions were focused on demographic information, five items evaluated online class behavior of students, 9 items evaluated self-efficacy and four items measured academic performance. Findings Multitasking behavior was found to negatively influence self-efficacy of −0.332, whereas self-efficacy showed a positive influence of 0.325 on academic performance. Cronbach's alpha and average variance extracted values were 0.780 and 0.527 (multitasking behavior), 0.875 and 0.503 (self-efficacy), 0.781 and 0.601 (academic performance). Outcomes of the bootstrapping test showed that the path coefficients are significant. Originality/value The research findings may help university managers understand undergraduates’ online and face-to-face behavior and strategies to improve the behavior to ensure the best academic outcomes. The novelty is based on using the partial least square structural equation modeling technique.

Impact of perceived brand localness and globalness on brand authenticity to predict brand attitude: a cross-cultural Asian perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Asif Ali Safeer ◽  
Yun Chen ◽  
Muhammad Abrar ◽  
Nilesh Kumar ◽  
Amar Razzaq
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Asian Countries ◽  
Content Type ◽  
Global Brands ◽  
Brand Authenticity ◽  
The Impact

PurposeThe study aims to investigate the impact of perceived brand localness (PBL) and perceived brand globalness (PBG) on brand authenticity (BA) to predict consumers' attitudes toward local and global brands in two Asian markets. Further, the study examines the moderating role of uncertainty avoidance (UA) after controlling the effects of brand familiarity (BF) in Asian markets (China and Pakistan).Design/methodology/approachIn accordance with the non-probability technique and through an online survey, the study collected 1,880 responses (on local and global brands) from China and Pakistan. Partial least square structural equation modeling (PLS-SEM) is the most robust technique applied to examine the proposed hypotheses in the Asian environment.FindingsAfter controlling the effects of BF, the findings revealed that PBL and PBG positively influenced consumers' perceptions of BA, which had a significant impact on consumers' brand attitudes toward both local and global brands in Asian markets. Further, the research identified that BA was an essential mediator from the Asian perspective. The interaction effects of UA and PBL on BA were discovered positively significant in Pakistan, whereas the effects of UA and PBG on BA were found negatively significant in Pakistan and had no effects in China.Research limitations/implicationsThe research focused on two Asian countries (China and Pakistan). However, future researchers may collect additional data from other Asian countries in order to generalize the findings in all Asian markets.Practical implicationsThe research assists local and global managers in designing and implementing various targeting, positioning and segmentation strategies for successfully managing businesses in Asian markets.Originality/valueThe novel research is based on signaling theory that contributes to the local and global branding domains from the Asian perspective (China and Pakistan).

Predictors of blended learning deployment in institutions of higher learning: theory of planned behavior perspective

2020 ◽  
Vol 37 (4) ◽  
pp. 179-196
Author(s):  
Bokolo Anthony Jnr ◽  
Adzhar Kamaludin ◽  
Awanis Romli ◽  
Anis Farihan Mat Raffei ◽  
Danakorn Nincarean A_L Eh Phon ◽  
...  
Keyword(s):  
Theory Of Planned Behavior ◽  
Blended Learning ◽  
Planned Behavior ◽  
Online Survey ◽  
Partial Least Square ◽  
Higher Learning ◽  
Least Square ◽  
Equation Modeling ◽  
Content Type ◽  
Institutions Of Higher Learning

PurposeBlended learning (BL) has been increasing in popularity and demand and has developed as a common practice in institutions of higher learning. Therefore, this study develops a model to evaluate the critical predictors that determine students' acceptance and deployment of BL in institutions of higher education based on the theory of planned behavior (TPB).Design/methodology/approachThe empirical analysis entails data collected from 1,811 responses from an online survey questionnaire from students in Malaysian universities, colleges and polytechnics. Partial least square–structural equation modeling (PLS–SEM) was employed for data analysis.FindingsThe results reveal that the attitude, subjective norm, perceived behavioral control and self-efficacy were found to influence students' intention to accept BL. Moreover, results suggest that the intention of students to accept BL approach is significantly influenced by actual BL deployment.Research limitations/implicationsData were collected from students in universities, colleges and polytechnics only. Besides, this research is one of the limited studies that explored BL deployment in a Malaysian perspective.Practical implicationsFindings from this research not only add scientific evidence to BL literature but also provide a better understanding of the predictors that may motivate or discourage learners to deploy BL in institutions of higher learning.Social implicationsRespectively, findings from this study aid students to acquire and apply knowledge on how to effectively improve BL initiatives in learning activities.Originality/valueThis study is one of the fewer studies that investigate students' behavioral intentions toward BL deployment in Malaysia. Additionally, this study contributes to the understanding of the predictors that influence students' intention to accept and deploy BL in their respective institutions.

scholarly journals Users’ Adoption of Sustainable Cloud Computing Solutions

2020 ◽  
Vol 12 (23) ◽  
pp. 9930
Author(s):  
Małgorzata Pańkowska ◽  
Krzysztof Pyszny ◽  
Artur Strzelecki
Keyword(s):  
Cloud Computing ◽  
Service Quality ◽  
Technology Acceptance ◽  
Online Survey ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Equation Modeling ◽  
Data Set ◽  
Tam Model

The paper is dedicated to factors influencing users’ adoption of sustainable cloud computing solutions. The article covers the important characteristics related to cloud computing. It also discusses how sustainable cloud computing is important for sustainability. The current state of their security and potential threats waiting for users is reviewed. The purpose of this study is to investigate the influence of perceived usefulness, security, availability, and satisfaction on users’ adoption of sustainable cloud computing solutions. The study tested and used the adapted Technology Acceptance Model (TAM) model in the context of cloud computing solutions. The partial least square method of structural equation modeling is employed to test the proposed research model. The study utilizes an online survey to obtain data from 252 cloud computing solutions users. The data set was analyzed using SmartPLS 3 software. Results showed that the best predictor of users’ perceived usefulness and system & service quality is perceived availability, followed by perceived security. Both perceived usefulness and system & service quality predict users’ attitude and intention to use of cloud computing solutions. The findings improve understanding regarding the adoption of cloud computing solutions, and this work is, therefore, of particular interest to the IT departments and cloud computing vendors.

“Do knowledge, perceived usefulness of halal label and religiosity affect attitude and intention to buy halal-labeled detergent?”

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Talita Leoni Rizkitysha ◽  
Arga Hananto
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Online Survey ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Equation Modeling ◽  
Age Group ◽  
Online Questionnaire ◽  
Content Type

Purpose Despite the high research interest regarding Halal products, most studies on Halal products focused on food and cosmetics. This study aims to examine the factors that affect the attitude and purchase intention of non-food Halal products in a limited context of detergent products. This study is derived from the theory of reasoned action. It incorporates knowledge, religiosity and perceived usefulness of Halal label as antecedents of attitude. Design/methodology/approach This study applied a self-administered online questionnaire. Data were collected through an online survey with a non-probability sampling technique (convenience sampling). The study retained a total of 264 valid responses. The respondents mainly consisted of Muslim consumers from the 18–24 age group (62.5%), followed by the 25–31 age group (29.2%). Data were analyzed using partial least square structural equation modeling. Findings The results indicate that attitude toward Halal-labeled detergent is affected by the perceived usefulness of the Halal label, and knowledge of Halal. Consequently, attitude toward Halal-labeled detergent positively affects intention to buy Halal-labeled detergent. This study also suggests that religiosity has a positive effect on the perceived usefulness of the Halal label and purchase intention of Halal detergent. Originality/value This study is among the few studies that discuss the antecedents and consequences of attitude toward Halal products in the context of detergent, a non-food Halal product category besides cosmetics. Muslim consumer responses toward Halal label were mostly researched in food and cosmetics contexts, while in some countries such as Indonesia, Halal labeling on all products has recently become mandated by legislation. Hence, this study provides some insights regarding Muslim consumer’s attitudes toward Halal-labeled products besides food and cosmetics.

Understanding intentions and actual use of mobile wallets by millennial: an extended TAM model perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Roktim Sarmah ◽  
Neeraj Dhiman ◽  
Honey Kanojia
Keyword(s):  
Technology Acceptance ◽  
Positive Relationship ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Equation Modeling ◽  
Content Type ◽  
Significant Positive Relationship ◽  
Tam Model ◽  
Actual Use

Purpose The present study aims to probe into the determinants of mobile wallet adoption by millennials with the assistance of extended technology acceptance model. Design/methodology/approach The data was collected from the students studying professional courses in leading private universities in the north region of India. Keeping in view of the objective and hypotheses, the Partial Least Square Structural Equation Modeling (PLS -SEM) technique was used to test the proposed model. Findings The tested model brings into notice the imperative observation, which clearly outlines that there are all significant relationships, which can be observed herein. To explicitly state: perceived ease of use (PEOU) has a significant positive relationship with the perceived usefulness followed by PEOU also shares a significant positive relationship with the behavioral intention, and lastly trust as a variable under study establishes a significant positive relationship with actual use (AU). Research limitations/implications Implications for the banking industry are to ensure the safety and privacy (financial information) confidential. Originality/value The present study contributes to the literature of mobile wallet in the developing nations.

scholarly journals Application of Blockchain for Supply Chain Financing: Explaining the Drivers Using SEM

2021 ◽  
Vol 7 (3) ◽  
pp. 167
Author(s):  
Mohammad Rokibul Kabir ◽  
Md. Aminul Islam ◽  
Marniati ◽  
Herawati
Keyword(s):  
Supply Chain ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Research Work ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Innovation Research ◽  
Supply Chain Financing ◽  
The Impact

Owing to the lack of research in emerging Asian nations, this research aimed to unearth the determinants of blockchain acceptance for supply chain financing by a Bangladeshi financing company called IPDC. Centred on a technology acceptance framework called UTAUT (unified theory of acceptance and use of technology) and open innovation research, an expanded model with a mediating variable is developed for this study. This research work employs the deductive inference method in conjunction with the positivism paradigm. A structural questionnaire was used to gather data, which were then processed through Smart-PLS (partial least square) for SEM (structural equation modeling). The survey includes all the people who are directly or indirectly involved in the supply chain financing platform of IPDC. The study consists of seven direct hypotheses and one mediating hypothesis. The results show that all the direct hypotheses except the impact of social influence on the behavioural intention to use (BINTU) blockchain are significant. The mediating hypothesis indicating the role of BINTU in the relationship between facilitating conditions (FCON) and the actual use of blockchain is also supported. FCON and BINTU together explain 88.7% variation in blockchain use behaviour for supply chain financing. The research advances past findings by employing an expanded UTAUT framework and validating observations with the other relevant studies throughout the world.

m-Learning Management System use during Covid-19

2021 ◽  
pp. 026666692110354
Author(s):  
Akhmad Habibi ◽  
Mohd Faiz Mohd Yaakob ◽  
Ahmad Samed Al-Adwan
Keyword(s):  
Distance Education ◽  
Technology Acceptance ◽  
Management System ◽  
Learning Management System ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
Learning Management

The current study examined factors affecting higher education students’ use of a mobile-based Learning Management System (m-LMS) for distance education during the Corona Virus Disease 2019 (Covid-19). A survey instrument based on the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB) was established and validated. The primary data were gathered from 1032 responses. The data were computed in SmartPLS 3.2. Partial Least Square Structural Equation Modeling (PLS-SEM) procedures were conducted to assess the measurement and structural models. The proposed model is valid and reliable. Findings of the study show that relationships emerge in seven out of ten hypotheses. The strongest relationship is between Perceived Usefulness and Attitude while the weakest exists between Perceived Ease of Use and Attitude. This study emphasizes awareness about the use of m-LMS in education, especially during distance education due to pandemics like Covid-19. The model is expected to provide a useful base for future academicians interested in conducting similar topics of research.

From managing customers to joint venturing with customers: co-creating service value in the digital age

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christine Falkenreck ◽  
Ralf Wagner
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Business Models ◽  
Joint Venture ◽  
Digital Age ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Data Set ◽  
Content Type

Purpose Until today, scholars claim that the phenomenon of “co-creation” of value in an “interacted” economy and in the context of positive actor-to-actor relationships has not been adequately explored. This study aims to first to identify and separate the accessible values of internet of things (IoT)-based business models for business-to-business (B2B) and business-to-government (B2G) customer groups. It quantifies the drivers to successfully implement disruptive business models. Design/methodology/approach Data were gathered from 292 customers in Western Europe. The conceptual framework was tested using partial least square structural equation modeling. Findings Managing disruptions in the digital age is closely related to the fact that the existing trust in buyer-seller relationships is not enough to accept IoT projects. A company’s digitalization capabilities, satisfaction with the existing relationship and trust in the IoT credibility of the manufacturer drives the perceived value of IoT-based business models in B2B settings. Contrastingly, in B2G settings, money is less important. Research limitations/implications Research refers to one business field, the data set is of European origin only. Findings indicate that the drivers to engage in IoT-related projects differ significantly between the customer groups and therefore require different marketing management strategies. Saving time today is more important to B2G buyers than saving money. Practical implications The disparate nature of B2B and B2G buyers indicates that market segmentation and targeted marketing must be considered before joint-venturing in IoT business models. To joint venture supply chain partners co-creating value in the context of IoT-related business models, relationship management should be focused with buyers on the same footing, as active players and co-developers of a personalized experience in digital service projects. Originality/value Diverging from established studies focusing on the relationship within a network of actors, this study defines disruptive business models and identifies its drivers in B2B and B2G relationships. This study proposes joint venturing with B2B and B2G customers to overcome the perceived risk of these IoT-related business models. Including customers in platforms and networks may lead to the co-creation of value in joint IoT projects.

An integrated model of supply chain resilience and its impact on supply chain performance under disruption

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shih-Jung Juan ◽  
Eldon Y. Li ◽  
Wei-Hsi Hung
Keyword(s):  
Supply Chain ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Manufacturing Companies ◽  
Cross Sectional ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Structured Equation Modeling ◽  
Logistic Issue

PurposeThis study aims to explore the relationships among the five components of supply chain (SC) resilience (SCRES): visibility, velocity, flexibility, robustness and collaboration and their impacts on the SC performance under disruption (SCPUD).Design/methodology/approachFive SCRES components are identified from the literature review and data are collected using an web survey from 113 manufacturing companies in Taiwan. The data are analyzed by structured equation modeling with the partial least square solution. Two-stage least-squares (2SLS) regression was used to test the potential endogeneity of SC collaboration (SCC).FindingsThe results reveal that SCC is an exogenous driver of SCRES; it directly affects visibility, velocity, flexibility, robustness and SCPUD. Furthermore, SC flexibility is the only component of SC agility that directly affects SCPUD; it is influenced directly by SC velocity and indirectly by SC visibility through SC velocity. SC visibility is a vital agility component that positively influences SC velocity and SC robustness.Research limitations/implicationsThe data in this study are cross-sectional and the sample size of 113 is relatively small. The relationship between SC robustness and SCPUD needs a longer observation period to reveal. The logistic issue in the shortage of carriers caused by the pandemic has been overlooked.Practical implicationsA firm should enhance its collaboration and flexibility in the SC as they both are the critical antecedents of SC performance (SCP) during the disruption period.Originality/valueThis study integrates visibility, velocity, flexibility, robustness and collaboration into a complete framework of SCRES. The dependent variable, SCPUD, measures SC performance (SCP) under the disruption caused by the COVID-19 pandemic. It is the first study to investigate the associations of the six constructs in a research model.

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