Exploring Factors That Drive Adoption of Various Categories of M-commerce: An Emerging Market Study

2018 ◽  
Vol 21 (2) ◽  
pp. 526-546
Author(s):  
Shweta Pandey ◽  
Deepak Chawla
Keyword(s):  
Perceived Risk ◽  
Positive Impact ◽  
Emerging Market ◽  
Equation Modeling ◽  
Future Research ◽  
Personal Innovativeness ◽  
Structured Equation Modeling ◽  
Effort Expectancy ◽  
Facilitating Conditions

The study examines the factors that drive actual adoption of the four categories of m-commerce, namely content delivery, location-based, transaction-based and entertainment in India. Data was collected from 321 m-commerce users and analysed using structured equation modeling (SEM). The results show that performance expectancy, effort expectancy, facilitating conditions, perceived risk and perceived enjoyment have varied impact, while social influence has a significant positive impact across the four categories. Further, personal innovativeness (PI) has a significant indirect impact on adoption of all the categories. The study adds on to the extant knowledge on m-commerce adoption in India and provides insights for marketers in devising relevant strategies for adoption of varied m-commerce categories. Further, it provides insights on the role of PI in driving adoption of m-commerce. The results from the study are limited to the Indian context and need to be validated across other contexts such as country and service offers suggesting future research opportunities. Future studies can also explore other m-commerce categories such as government services and telemetry services.

The Factors Influencing Taxpayers' Acceptance of E-Taxation System

2015 ◽  
pp. 105-121
Author(s):  
Adnan Gercek ◽  
Tolga Demirbas ◽  
Filiz Giray ◽  
Ayse Oguzlar ◽  
Mehmet Yuce
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Model Performance ◽  
Equation Modeling ◽  
Intention To Use ◽  
Government Services ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Taxation System

E-taxation is one of the most popular e-government services. Most countries are focused on implementing an e-taxation system. The success of an e-taxation system depends on the taxpayers' acceptance of it. The taxpayers' intention to use an e-taxation system is determined by various factors. This chapter, based on empirical data collected from a survey of 505 respondents in Turkey, seeks to identify the factors that influence the taxpayers' acceptance of e-taxation system. It test various constructs of the UTAUT model – performance expectancy, trust perception, perceived risk, effort expectancy and facilitating conditions – on Turkish taxpayers' intention to use the e-taxation system. Structural equation modeling is used to analyze the effects of these variables on intention to use. The results indicate that performance expectancy and perceived risk have a significant impact on behavioral intention and that effort expectancy and facilitating conditions have a significant impact on intention to use.

The Role of Trust in the Acceptance of Government Cloud

2021 ◽  
pp. 2394-2414
Author(s):  
Maha A. Alrashed ◽  
Mutlaq B Alotaibi
Keyword(s):  
Risk Perceptions ◽  
Structural Equation ◽  
Quantitative Research ◽  
Equation Modeling ◽  
Future Research ◽  
Research Approach ◽  
Use Of Technology ◽  
Facilitating Conditions ◽  
The One

This study proposes and empirically examines a revised and extended Unified Theory of Acceptance and Use of Technology (UTAUT) model, while acknowledging the role of trust on government cloud (G-Cloud) acceptance. The study utilized a quantitative research approach to examine the research model with data collected from a survey administered to IT professionals at government agencies in Saudi Arabia. The model was tested using the partial least squares structural equation modeling (PLS-SEM). Results show that trust is a major predictor of behavioral intentions to use G-Cloud that reduces uncertainty associated with the cloud and mitigates risk perceptions on the one hand, and significantly increases the perceptions of usefulness on the other hand. Furthermore, results indicate that performance expectancy, social influence, and facilitating conditions are all significant determinants of G-Cloud acceptance. Based on the findings, the study highlights several implications for practice and suggests opportunities for future research in the field of government cloud.

E-Government Acceptance and Trust

2021 ◽  
Vol 12 (2) ◽  
pp. 1-16
Author(s):  
Rania Fakhoury ◽  
Bilal Chebaro
Keyword(s):  
Structural Equation ◽  
Research Direction ◽  
Equation Modeling ◽  
Future Research ◽  
Performance Expectancy ◽  
Significant Relationships ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Shed Light

Lebanon is a small developing market that is making significant investments in e-government technology. The expectation is that it will improve the quality of life and decrease corruption. The current research is survey-based using a structural equation modeling technique that investigates citizens' behavioral intentions towards using e-services and cross-validates a previous study with a new matching data sample. One hundred six questionnaires were analyzed, and findings showed significant relationships between UTAUT2 constructs (performance expectancy, habit, social influence, price value, and trust in the internet) and intention to use e-government services in Lebanon. The results also shed light on e-government adoption inhibitors (effort expectancy, facilitating conditions, hedonic motivation, and trust in government). Therefore, the findings will be beneficial to the Lebanese government to develop and improve the e-services. Despite achieving its aim, this study has its limitations, which constitute the future research direction.

Cruise brand experience: functional and wellness value creation in tourism business

2019 ◽  
Vol 31 (5) ◽  
pp. 2205-2223 ◽  
Author(s):  
Jiseon Ahn ◽  
Ki-Joon Back
Keyword(s):  
Customer Satisfaction ◽  
Value Creation ◽  
Service Providers ◽  
Positive Impact ◽  
Perceived Value ◽  
Equation Modeling ◽  
Future Research ◽  
Brand Experience ◽  
Content Type

Purpose Experience and value creation have become integral themes for tourism service providers. This study aims to understand the role of different types of experiences in formulating customers’ perceived value. Studies on this area are scarce, especially in the cruise industry. Design/methodology/approach A research model that includes two value variables, namely, functional and wellness values, and four cruise brand experience variables, namely, sensory, affective, behavioral and intellectual factors, was tested through partial least-squares (PLS) structural equation modeling approach. A total of 389 usable cruise customer responses were obtained and analyzed using SmartPLS software. Findings Results revealed the relative effects of sensory, affective, behavioral and intellectual factors on perceived functional and wellness values. The positive impact of perceived value on customer satisfaction and behavioral intention and the moderating role of service expertise in the relationship between cruise experience and perceived value were examined. Research limitations/implications Future research can examine how types of leisure facilities (e.g. casinos, restaurants, bars and shows), cultural differences (e.g. Eastern and Western) and customers’ travel characteristics (e.g. visiting purpose and companions) may influence the relationships between cruise brand experience and perceived value. Practical implications From a practical point, the relationships among multidimensional cruise brand experience, functional and wellness values, customer satisfaction, revisit intention and service expertise provide a clue on how cruise brands can enhance customers’ perceived value to retain current customers. Originality/value This study contributes to literature by providing a theoretical framework and empirical evidence for predicting and explaining cruise customers’ behavior. From a managerial perspective, this study identified critical factors that are essential to value creation and discussed the implications of predictive factors on developing marketing strategies that enhance customers’ positive attitude and behavior toward the cruise brand.

The Role of Trust in the Acceptance of Government Cloud

2017 ◽  
Vol 8 (3) ◽  
pp. 1-19
Author(s):  
Maha A. Alrashed ◽  
Mutlaq B Alotaibi
Keyword(s):  
Risk Perceptions ◽  
Structural Equation ◽  
Quantitative Research ◽  
Equation Modeling ◽  
Future Research ◽  
Research Approach ◽  
Use Of Technology ◽  
Major Predictor ◽  
Facilitating Conditions

This study proposes and empirically examines a revised and extended Unified Theory of Acceptance and Use of Technology (UTAUT) model, while acknowledging the role of trust on government cloud (G-Cloud) acceptance. The study utilized a quantitative research approach to examine the research model with data collected from a survey administered to IT professionals at government agencies in Saudi Arabia. The model was tested using the partial least squares structural equation modeling (PLS-SEM). Results show that trust is a major predictor of behavioral intentions to use G-Cloud that reduces uncertainty associated with the cloud and mitigates risk perceptions on the one hand, and significantly increases the perceptions of usefulness on the other hand. Furthermore, results indicate that performance expectancy, social influence, and facilitating conditions are all significant determinants of G-Cloud acceptance. Based on the findings, the study highlights several implications for practice and suggests opportunities for future research in the field of government cloud.

Innovativeness, Privacy, and Trust as Determinants of Electronic Tax Filing

2018 ◽  
pp. 181-202 ◽  
Author(s):  
Nabila Nisha ◽  
Mehree Iqbal ◽  
Afrin Rifat
Keyword(s):  
Perceived Risk ◽  
Research Agenda ◽  
Personal Innovativeness ◽  
Online Transactions ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
The Government ◽  
Facilitating Conditions ◽  
New Research ◽  
Tax Filing

Electronic tax (e-Tax) filing is one of the most interesting and dynamic examples of the integration of information technology and service provision between the government and citizens. However, citizens are often concerned about the use of technology due to their personal innovativeness, and lack of privacy and trust for online transactions. This chapter thus aims to investigate adoption drivers of e-Tax filing systems in Bangladesh by employing the UTAUT model. Results reveal facilitating conditions, trust, effort expectancy, performance expectancy and individual innovativeness as significant drivers in e-Tax adoption. Besides, this chapter suggests a new research agenda wherein perceived risks that can cause services like e-Tax filings to fail are addressed. Several factors that are known to exacerbate perceived risk were identified from the literature and thereafter shown as part of a proposed framework. Besides, implications for practice and research are also discussed for better planning and implementation of e-Tax services.

scholarly journals Transformation of Information Technology to Improve Human Resources of Farmers in the Indonesian Context: The Role of Farmer Cards

2021 ◽  
Vol 25 ◽  
pp. 476-495
Author(s):  
Dani Ramdani Harun ◽  
Sony Heru Priyanto ◽  
Lieli Suharti
Keyword(s):  
Information Technology ◽  
Transformational Leadership ◽  
Human Resources ◽  
Structural Equation ◽  
Equation Modeling ◽  
Future Research ◽  
Cluster Sampling ◽  
The Government ◽  
Facilitating Conditions

Different approaches in the introduction and socialization of farmer cards resulted in the adoption rate of farmers not following the planned target even though one of the objectives of the farmer card program was to improve farmer human resources. This study aims to analyze the perceived impact of the farmer's card on the level of adoption and improvement of farmer's human resources. Respondents selected based on cluster sampling came from the 6 districts that used the most farmer cards in Central Java. The data obtained through the survey were analyzed using Structural Equation Modeling. The five variables measured consisted of transformational leadership, the role of the government, facilitating conditions, perceived farmer cards, perceived farmer card adoption, and farmer human resources. The results showed that transformational leadership, the role of government, and facilitating conditions had a significant effect on perceived farmer cards. The perceived farmer card has a significant effect on the adoption of the farmer card. Adoption of farmer's card has a significant effect on farmer's human resources. The application of the farmer card results in a farmer database increased accuracy and government services to farmers. Future research needs to be directed at conducting development research related to increasing the capacity of farmer card information technology to make farmers more prosperous.

scholarly journals Understanding FinTech Platform Adoption: Impacts of Perceived Value and Perceived Risk

2021 ◽  
Vol 16 (5) ◽  
pp. 1893-1911
Author(s):  
Jianli Xie ◽  
Liying Ye ◽  
Wei Huang ◽  
Min Ye
Keyword(s):  
Perceived Risk ◽  
Perceived Value ◽  
Future Research ◽  
It Adoption ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Adoption Research ◽  
Adoption Intention ◽  
Core Construct

FinTech platforms are one of the most important elements in the rapidly digitized world’s economy. This study investigates the factors that affected individuals’ acceptance of FinTech services, especially on internet wealth management platforms. The current research extends the unified theory of acceptance and use of technology (UTAUT) published by MIS Quarterly with integrated financial consumption attributes (i.e., perceived value and perceived risk) alongside the core construct of UTAUT. Data were collected from an established survey company. The empirical results indicate that perceived value, perceived risk, and social influence are strongly related to individuals’ FinTech adoption intention, whereas performance expectancy, effort expectancy, and perceived risk affect individuals’ perceived value, which in turn influences adoption intention. The proposed FinTech adoption model could contribute to information technology (IT) adoption research by extending the UTAUT in which individuals’ performance expectancy and effort expectancy affect their adoption intention indirectly through perceived value. Finally, the implications of the proposed new model for future research and FinTech practice are discussed.

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.

Modeling the Factors that Influence Ghanaian Entrepreneurs to Adopt e-Commerce

2021 ◽  
Vol 18 (06) ◽  
Author(s):  
Frederick Pobee
Keyword(s):  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Unified Theory ◽  
Cross Sectional ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

This study investigated the factors that influence Ghanaian entrepreneurs to adopt e-commerce. Cross-sectional data was gathered from 520 entrepreneurs in the most populous and industrious regions in Ghana. The unified theory of acceptance and use of technology (UTAUT) was employed to effectively understand the unexplored phenomenon of e-commerce adoption among Ghanaian entrepreneurs. Partial Least Square-Structural Equation Modeling (PLS-SEM) was used to test the hypothesized relationships. The findings indicate that performance expectancy, effort expectancy, and social influence (SI) positively and significantly influenced the behavioral intention (BI) to adopt e-commerce. Facilitating conditions (FC) and BI had a significant positive relationship with the adoption of e-commerce.

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