Consumer adoption of mobile banking in Jordan

A study on how to improve students' continuance intention in landscape architecture conservation course within a virtual learning environment based on SVVR

With the rapid pace of global urbanization, preserving natural landscapes has become increasingly critical. However, urbanization presents significant environmental risks worsened by decreased ecological consciousness. This has led to a pressing demand for education in landscape conservation. While university curricula begin to focus on this area, the shortcomings of conventional teaching methods are apparent, especially in technology-supported learning. Therefore, it is crucial to incorporate cutting-edge technologies to devise novel educational strategies that improve students' learning experiences and achievements. Based on the relevant variables from the UTAUT model, coolness theory, and flow theory, this study constructs a structural equation model to assess students' intention to continue using SVVR teaching materials. The model includes external factors like performance expectancy, effort expectancy, perceived sustainability, self-efficacy, flow, and perceived coolness. A survey of 382 students was conducted, and the data were analyzed using structural equation modeling (SEM). Results indicated that: 1) students' intention to use SVVR educational resources is significantly affected by their attitude and flow; 2) performance expectancy, effort expectancy, perceived coolness, perceived sustainability, and self-efficacy have a positive impact on attitude, whereas flow does not directly affect attitude, and 3) there is a positive relationship between self-efficacy and flow. These insights are instrumental in developing and implementing SVVR educational materials for landscape conservation classes. They confirm the utility of the expanded UTAUT model, providing a methodological framework for its use in similar settings.

Factors influencing the intention to use e-wallet among generation Z and millennials in the Philippines: An extended technology acceptance model (TAM) approach

The use of E-wallets in the Philippines experienced remarkable growth in recent years. This study investigated the key factors influencing the intention to use E-wallets among Generation Z and Millennials in the country, employing an extended Technology Acceptance Model (TAM) framework. A total of 500 respondents from these demographic groups participated in an online survey featuring 24 indicators, selected through a stratified sampling method. Using Partial Least Square - Structural Equation Modeling (PLS-SEM), the analysis revealed that perceived ease of use, perceived usefulness, social influence, attractiveness of alternatives, perceived trust, perceived security, and perceived value significantly influenced users' intention to adopt E-wallets. Notably, perceived trust emerged as a stronger predictor than perceived value. This research provided valuable insights into the factors shaping user intentions and consumer satisfaction, enhancing the understanding of E-wallet adoption in the industry. Furthermore, the incorporation of the extended TAM strengthened the theoretical framework for studying E-wallet adoption in developing countries like the Philippines.

Analytic and heuristic process for prudent antimicrobial use in animals: What are triggers and how do they work?

The over and misuse of antimicrobials in animal agriculture causes a prevailing crisis for humans, animals, and the environment. From the One Health approach perspective, the formation process of adopting prudent antimicrobial use (AMU), once established, can be used to mitigate this crisis. The study aimed to determine the analytic-based and heuristic-based process that evoked prudent AMU among animal farmers by synthesis of stimulus-organism-response framework and dual-system theory and to explore gender differences on risk-benefit trade-offs. A structural equation model was employed to test the proposed hypotheses with field survey data from 1100 small-scale farmers. The results reveal that for the analytic-based process, social influence, antimicrobial-related threats, and self-efficacy are all salient stimuli having indirect effects on intention via the two organisms of perceived risks and perceived benefits. For heuristic-based process, farmers' altruistic value orientations are positively associated with intention. An interesting fact is that threat awareness has two opposite effects on intention, namely, the suppression effect and the enhancement effect. Moreover, the negative effect of perceived risks on intention is greater among female farmers, compared to male counterparts. These findings provide valuable insights for the forming of theory-based intervention strategies to perfect China's national action plan.

Assessing the intention to accept inquiry-based teaching pedagogy among Chinese university students: an extension of technology acceptance model

Introduction

Due to the limitations of traditional didactic teaching, inquiry-based teaching has attracted increasing attention and has become an important content of curriculum teaching reform in college education. Nevertheless, it is vital to investigate students' subjective acceptance of inquiry-based instruction and its influencing factors before inquiry-based teaching methods are widely implemented.

Methods

In light of this, taking into account the psychological factors of students, an acceptance model of inquiry-based teaching pedagogy was established based on the extended technology acceptance model (TAM). Three additional variables, namely self-efficacy, implementation quality, and risk perception, were incorporated into the TAM. Firstly, subjective evaluation data of the influencing factors of inquiry teaching acceptance were obtained through a network questionnaire survey from university students in Guangdong, China, using snowball sampling and convenient sampling. A total of 485 valid questionnaires were retrieved, with an effective response rate of 88.2%. Then, internal consistency and reliability, convergent validity and discriminant validity of the model and its hypothesis were tested with reliability and validity tests. Finally, path analysis was used to examine key determinants of students' acceptance of inquiry teaching and moderators.

Results

Results indicated that the constructed model can explain the acceptability of inquiry teaching for college students by 88.6%; Attitude has a positive significant impact on behavioral intention; Perceived ease of use indirectly affects behavioral intention through perceived usefulness, while perceived usefulness indirectly affects behavioral intention through attitude; self-efficacy not only directly affects behavioral intention but also indirectly affects behavioral intention through implementation quality; implementation quality indirectly affects behavioral intention through perceived usefulness and attitude; students' risk perception of inquiry-based teaching has no negative impact on behavioral intention.

Conclusion

Overall, this study has implications for policymakers, teachers or learners in terms of the implementation and promotion of inquiry-based teaching in college classroom.

Understanding the process of meanings, materials, and competencies in adoption of mobile banking

COVID-19 has changed the way people live, bank, shop, and work by moving them toward digitalization. It has also driven the trend toward a cashless society, and this change has taken place in an increasingly uncertain and fearful environment. This study explores the social practice of mobile banking (MB) adoption during the global COVID-19 pandemic. Data were collected from banking customers and managers using online customer reviews, semi-structured interviews, and focus groups to develop an in-depth understanding of the subjective realities of their use of MB. This approach also ensured that social distancing practices were maintained during interviews conducted during the COVID-19 outbreak. Analysis of the data suggests that social media, social circles, family members, and teams of customer service agents play an important role in developing the social practice of MB. This study culminates in the presentation of the social practice of MB adoption (SPOTA) framework. This framework is based on extended social practice theory in the context of MB adoption. The study discusses the practical implications of the findings for systems developers. The many expectations of people with or without disabilities of MB are discussed and the findings could be used to improve the accessibility and habitual practice of MB adoption.

Rural small scale farmers' smart mobile phone usage acceptance prognosticators for agricultural marketing information access

The purpose of the article is to examine the rural small scale farmers' smart mobile phone usage acceptance prognosticators for agricultural marketing information access in selected farming towns in Zimbabwe. Responses were collected from rural small scale farmers in Marondera, farming town in Zimbabwe using structured questionnaire with a 7 point Likert scale. The research study depicted that trust, social influence, perceived risk and relative advantage have positive influence on rural small scale farmers' smart mobile phone usage acceptance for agricultural marketing information access adoption intention in Zimbabwe. The study has limitations which may affect the generalisability of the results since they can only be applied to the studied areas, all in Mashonaland East province of Zimbabwe. Agricultural marketers are encouraged to focus more attentively on smart mobile phone acceptance determinants such as social influence, perceived risk and trust when devising mobile agricultural marketing strategies especially during uncertain times. The study adds to theoretical literature development by extending knowledge on the UTAUT2 theoretical framework since there is paucity of research that have directly applied the same model in agricultural marketing and general agribusiness. Practically, the study enhances the need for adoption of contemporary technologies to solve the current challenges facing farmers in the marginalised rural areas, not only in Africa, but also dotted around the world.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s43545-022-00562-x.

An intention to use mobile applications for medical supplies and equipment ordering in clinics

This research developed a mobile medical supplies and equipment ordering app (MMSEOA) model and attempted to validate it empirically. When customers (clinic doctors) make purchases on the app, two types of reasons can be identified: "reasons for" include enduring involvement (emotions), product description, and awareness (familiarity) while the "reasons against", were demonstrated as perceived risk and resistance to change (fear). This study aimed to strengthen and illuminate the most significant dimensions that enhance a doctor's understanding of MMSEOA and the intention to use it. Furthermore, this research investigated the model's applicability among clinic doctors in Jordan. The model was empirically examined using a sample of 342 Jordanian clinic doctors and their secretaries who use mobile services in general. The survey method, a quantitative approach, was utilized; the partial least squares structural equation modeling system was used to investigate the proposed framework. The results demonstrate that these "reasons for" positively influenced the intention to use the MMSEOA except product description. Similarly, reasons against negatively influence the customers' intention to use the MMSEOA app, while perceived risk had no effect on the intention to use. These findings suggested that researchers should focus more on the services, products, and the main function of the MMSEOA to determine their influences on customers' intention to use. This will improve the buying habits related to purchasing medical supplies using MMSEOA and other online platforms, specifically in Jordan and the Middle East at large.

A study of college students' intention to use metaverse technology for basketball learning based on UTAUT2

Recent advancements in virtual reality technology have attracted increasing attention from enterprises and scholars, and many new related products have been launched. Due to the current COVID-19 epidemic, the non-face-to-face teaching environment will seriously affect students' basketball learning. We therefore combined basketball learning with metaverse technology, discussed basketball teaching in a virtual reality environment, and examined the influencing factors of college students' intentions to use metaverse technology. In the light of UTAUT2, a new research model was proposed, and quantitative research was carried out. The results of a survey of 1074 valid samples revealed that habits and attitudes are crucial factors in the success of basketball learning using a metaverse. The findings also indicate that grade and gender are moderator variables.

Using Extended Technology Acceptance Model to Assess the Adopt Intention of a Proposed IoT-Based Health Management Tool

Advancements in IoT technology contribute to the digital progress of health science. This paper proposes a cloud-centric IoT-based health management framework and develops a system prototype that integrates sensors and digital technology. The IoT-based health management tool can collect real-time health data and transmit it to the cloud, thus transforming the signals of various sensors into shared content that users can understand. This study explores whether individuals in need tend to use the proposed IoT-based technology for health management, which may lead to the new development of digital healthcare in the direction of sensors. The novelty of this research lies in extending the research perspective of sensors from the technical level to the user level and explores how individuals understand and adopt sensors based on innovatively applying the IoT to health management systems. By organically combining TAM with MOA theory, we propose a comprehensive model to explain why individuals develop perceptions of usefulness, ease of use, and risk regarding systems based on factors related to motivation, opportunity, and ability. Structural equation modeling was used to analyze the online survey data collected from respondents. The results showed that perceived usefulness and ease of use positively impacted adoption intention, Perceived ease of use positively affected perceived usefulness. Perceived risk had a negative impact on adoption intention. Readiness was only positively related to perceived usefulness, while external benefits were positively related to perceived ease of use and negatively related to perceived risk. Facilitative conditions were positively correlated with perceived ease of use and negatively correlated with perceived risk. Technical efficacy was positively related to perceived ease of use and perceived usefulness. Overall, the research model revealed the cognitive mechanism that affects the intention of individuals to use the system combining sensors and the IoT and guides the digital transformation of health science.

Understanding Consumer Buying Intention of E-Commerce Airfares Based on Multivariate Demographic Segmentation: A Multigroup Structural Equation Modeling Approach

The internet offers enormous development opportunities for airline firms and a lot of information for consumers to pick the finest available options. This research aims to study the consumer buying intention of e-commerce airfares in an emerging economy based on the technology acceptance model. This article employed a sample of 3064 respondents at six airports in Thailand. It used cluster analysis (a multivariate analysis approach) to determine two main customer segments and then used a structural equation modeling (SEM) technique utilizing demographic segmentation as a moderator to explain the behaviors of those two segments. The findings demonstrated two customer segments: (1) the older with high and middle-income segment, and (2) the young with low-income segment. The empirical results revealed that price sensitivity and perceived ease of use substantially impacted behavioral intention to use e-commerce airfares in both segments. The users from segment (1) are more likely to look for the fun experience and entertainment value of using e-commerce airfares than those from segment (2). However, perceived usefulness is unlikely to be a vital factor in consumers’ purchasing decisions about using e-commerce airfares. It is recommended that airline companies and online travel agencies should consider perceived ease of use, price sensitivity, and hedonic motivation when implementing e-commerce airline websites for selling tickets.

Influencing Factors in MOOCs Adoption in Higher Education: A Meta-Analytic Path Analysis

(1) Background: Due to the rapid growth of Massive Online Open Courses (MOOCs), higher educational institutions across the world are investing heavily in MOOCs to support their traditional teaching, their students’ learning experience, and their performance. However, the success of MOOCs highly depends on several factors that influence their success in higher education. Prior studies have attempted to investigate and predict user acceptance of MOOCs in higher education by using a variety of theoretical viewpoints. Nonetheless, these studies have yielded conflicting findings and are inconclusive. (2) Purpose: This study aims to develop a model that integrates the Theory of Planned Behavior (TPB), the Unified Theory of Acceptance and Use of Technology (UTAUT), as well as the Task-Technology Fit (TTF) to explore the factors that influence the acceptance and use of MOOCs in higher education institutions, while synthesizing previous empirical findings in the field. (3) Methods: The model was tested using Meta-analytic Structural Equation Modelling (MASEM) based on the data gathered from 43 studies (k = 45 samples, n = 16,774). (4) Results: Effort expectancy (EE), attitude (ATT), performance expectancy (PE), and TTF—determined by several task and technology characteristics—were identified as the direct predictors of behavioral intention (BI) to continue using MOOCs. (5) Conclusions: This model provides a cohesive view of MOOCs’ acceptance in higher educational institutions, and it helps to identify potential research opportunities in this area. (6) Implications: Results from MASEM offer managerial guidance for the effective implementation of MOOCs and provide directions for further research, to augment current knowledge of MOOCs’ adoption, by higher education institutions.

Understanding the Drivers of Ghanaian Citizens' Adoption Intentions of Mobile Health Services

Mobile health (m-health) application development and diffusion in developing countries have always been a challenge; therefore, research that seeks to provide an elucidation of the drivers of m-Health adoption is vital. Mobile health information systems and applications can contribute to the delivery of a good healthcare system. This study examined the factors influencing citizens' adoption of mobile health services. The Technology Acceptance Model (TAM) was used as the research underpinning for this study, while the data gathered were analyzed with SmartPLS through the use of the structural equation modeling technique. The results showed that perceived usefulness and ease of use were both significant predictors of the behavioral intention to use and recommend the adoption of mobile health services. Also, perceived risk was negative but significant in predicting the intention to use and recommend adoption. Mobile self-efficacy was found to significantly determine the behavioral intention to use, intention to recommend, perceived usefulness, and perceived ease of use of mobile health services. Besides, word-of-mouth showed a positive impact on both the intention to use and recommend. Contrary to expectations, the intention to use had no significant impact on the recommendation intention. The theoretical and practical implications of these findings are thoroughly examined.

The Antecedents of Willingness to Adopt and Pay for the IoT in the Agricultural Industry: An Application of the UTAUT 2 Theory

This paper aims to examine the factors influencing the willingness of Bangladeshi farmers to adopt and pay for the Internet of Things (IoT) in the agricultural sector by applying the theoretical framework of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2). To this end, the study employed a quantitative research methodology and obtained data from 345 farmers from the northern districts of Bangladesh. Using a cross-sectional survey design and convenience sampling method, a study of premium fruit growers was undertaken to assess IoT use in agriculture, and the primary survey data were analyzed using the Structural Equation Modeling (SEM) approach via AMOS 26. The study confirmed that effort expectancy, performance expectancy, facilitating condition, hedonic motivation, government support, price value, personal innovativeness, and trust influence the willingness of Bangladeshi farmers to adopt the IoT. Additionally, predictors such as trust and willingness to adopt were observed to influence the willingness to pay for the IoT, while the construct ‘performance expectancy’ produced no effect. The study also revealed that the willingness to adopt moderates the association between performance expectancy, price value, and willingness to pay for the IoT. This research has novel implications because it investigates the behavior of rural customers with respect to innovation adoption, which in this case is the IoT in agriculture. It outlines precise reasons for the willing adoption of the IoT in agriculture, which will, in turn, assist marketers of IoT technology in the design of appropriate marketing strategies to increase acceptance in rural areas. Using the proposed model that incorporates farmers’ willingness to pay, this empirical study takes the first step in examining whether farmers in a developing economy such as Bangladesh will adopt and pay for the IoT.

Do the Preceding Self-service Technologies Influence Mobile Banking Adoption?

The study aims to identify the role of preceding self-service technologies (SSTs) in the adoption of mobile banking (m-banking). More specifically, the study examines the impact of attitude (AT), perceived usefulness (PU) and perceived ease of use (PEOU) of online banking (o-banking) and ATM in the adoption of m-banking. By using the non-probability purposive sampling technique, the data was gathered through a structured questionnaire from the non-users of m-banking. The partial least square-structural equation modeling (PLS-SEM) technique was employed on 257 useful responses to assess the hypotheses. The findings provided evidence that the AT towards ATMs and o-banking significantly affects the AT towards m-banking (ATMB). Moreover, the PEOU of ATM and o-banking significantly affects the PEOU of m-banking. However, in the case of PU, only the usefulness of o-banking affects the usefulness of m-banking. The results also reveal that the AT, PEOU and PU of m-banking affect the intention to adopt m-banking (IMB). The study benefits the banking industry as it provides insights on how banks can use their preceding SSTs in developing a consumer’s intention to use m-banking. This is one of the early studies that considers the effect of PEOU and PU of previous SSTs on the adoption of m-banking. The multi-channel perspective, that is, ATMs and o-banking in the adoption of m-banking, also offers additional valuable insights and contributes to the literature of technology adoption. In the past, studies have not focused on the spillover effects of preceding SSTs. However, mature channels could be used in boosting a new channel.

Computer vision-aided bioprinting for bone research

Bioprinting is an emerging additive manufacturing technology that has enormous potential in bone implantation and repair. The insufficient accuracy of the shape of bioprinted parts is a primary clinical barrier that prevents widespread utilization of bioprinting, especially for bone design with high-resolution requirements. During the last five years, the use of computer vision for process control has been widely practiced in the manufacturing field. Computer vision can improve the performance of bioprinting for bone research with respect to various aspects, including accuracy, resolution, and cell survival rate. Hence, computer vision plays a substantial role in addressing the current defect problem in bioprinting for bone research. In this review, recent advances in the application of computer vision in bioprinting for bone research are summarized and categorized into three groups based on different defect types: bone scaffold process control, deep learning, and cell viability models. The collection of printing parameters, data processing, and feedback of bioprinting information, which ultimately improves printing capabilities, are further discussed. We envision that computer vision may offer opportunities to accelerate bioprinting development and provide a new perception for bone research.

Factors Influencing Continued Usage Behavior on Mobile Health Applications

(1) Background: As people pay more attention to health, mobile health applications (mHealth apps) are becoming popular. These apps offer health services that run on mobile devices to help improve users’ health behaviors. However, few studies explore what motivates users to continue to use these apps. This study proposes antecedents influencing users’ electronic satisfaction (e-satisfaction) and their continued behaviors of using mHealth apps. Based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT2), this study constructs a research model including perceived reliability and online review to predict the continued usage behavior on mHealth apps in China; (2) Methods: We conduct an online survey to collect data from participants who have used mHealth apps. This study receives 327 valid responses and tests the research model using the partial least squares structural equation model approach; (3) Results: Our results find that antecedents positively affect continued usage intention through the mediation role of e-satisfaction with mHealth apps. Interestingly, this study reveals that habit positively affects the continued usage behavior and moderates the effect of e-satisfaction and continued intention of using mHealth apps; (4) Conclusions: This study presents theoretical implications on the extended UTAUT2 and provides practical implications understanding of managing mHealth apps in China.

A Comparative Study of Users versus Non-Users’ Behavioral Intention towards M-Banking Apps’ Adoption

The banking sector has been considered as one of the primary adopters of Information and Communications Technologies. Especially during the last years, they have invested a lot into the digital transformation of their business process. Concerning their retail customers, banks realized very early the great potential abilities to provide value added self-services functions via mobile devices, mainly smartphones to them; thus, they have invested a lot into m-banking apps’ functionality. Furthermore, the COVID-19 pandemic has brought out different ways for financial transactions and even more mobile users have taken advantage of m-banking app services. Thus, the purpose of this empirical paper is to investigate the determinants that impact individuals on adopting or not m-banking apps. Specifically, it examines two groups of individuals, users (adopters) and non-users (non-adopters) of m-banking apps, and aims to reveal if there are differences and similarities between the factors that impact them on adopting or not this type of m-banking services. To our knowledge, this is the second scientific attempt where these two groups of individuals have been compared on this topic. The paper proposes a comprehensive conceptual model by extending Venkatech’s et al. (2003) Unified Theory of Acceptance and Use of Technology (UTAUT) with ICT facilitators (i.e., reward and security) and ICT inhibitors (i.e., risk and anxiety), as well as the recommendation factor. However, this study intends to fill the research gap by investigating and proving for the first time the impact of social influence, reward and anxiety factors on behavioral intention, the relationship between risk and anxiety and the impact of behavioral intention on recommendation via the application of Confirmatory Factor Analysis and Structural Equation Modeling (SEM) statistical techniques. The results reveal a number of differences regarding the factors that impact or not these two groups towards m-banking app adoption; thus, it provides new insights regarding m-banking app adoption in a slightly examined scientific field. Thus, the study intends to assist the banking sector in better understanding their customers with the aim to formulate and apply customized m-business strategies and increase not only the adoption of m-banking apps but also the level of their further use.

Improving the Sustainable Usage Intention of Mobile Payments: Extended Unified Theory of Acceptance and Use of Technology Model Combined With the Information System Success Model and Initial Trust Model

Under the background of global cross-border mobile commerce (m-commerce) integration, the importance of cross-border payment research is becoming increasingly prominent and urgent. The important value of this study is to empirically research the influence power of key elements in using two different mobile payment (m-payment) platforms in Korea. The extended unified theory of acceptance and use of technology (UTAUT2) has been widely applied in various studies because of its strong interpretive power. In Korea, there are a few empirical studies on Chinese users. Based on a survey of 908 Chinese participants (486 WeChat Pay's Chinese users and 465 Kakao Pay's Korean users) in Korea, this study is one application extending UTAUT2 by incorporating multi-group and multi-model constructs: UTAUT2, information system success (ISS) model, and an initial trust model (ITM), considering a multi-group analysis with some mediating variables (payment difference). By comparing the two different payment platforms' characters, this manuscript provides a set of targeted measures to ensure Chinese WeChat Payment platform decision-makers create effective long-term strategic policies for cross-border m-payments in Korea, and eventually, benefit cross-border m-commerce and economic cooperation in Southeast Asia.

Factors Influencing the Decision to Utilize eTax Systems During the COVID-19 Pandemic

This study examines the usage of eTax systems using the unified theory of acceptance and use of technology (UTAUT) as a theoretical base. A quantitative methodology using partial least squares-structural equation modelling (PLS-SEM) was used to test the study model against data collected from 209 taxpayers who completed the research questionnaire. The outcomes of this study manifest necessary theoretical extension of the UTAUT model and practical contributions during the pandemic of COVID-19. The findings of this study reveal that the behavioral intention to use eTax systems is highly influenced by performance expectancy, effort expectancy, social influence, social isolation, and anxiety about technology. Similarly, the behavioral intention of eTax systems and anxiety of COVID-19 infection demonstrate a substantial association with the actual usage of eTax systems. Interestingly, the study's findings also show that the anxiety of COVID-19 infection moderates the association bounded by usage intention and actual use of eTax systems.

Digital Adoption of Start-Ups With E-Governance Systems

This study aims to encourage the adoption intention of independent digitalization with e-governance among small investment start-ups. The study also analyzed the start-ups' adoption intention for digitalization by testing the significance of benefits and sacrifices associated with the digital platforms of e-governance. The current study also analyzed the moderating effect of digital support and awareness on digital adoption. The study's findings will also help the government in drafting policies to address the factors that positively impact the perceived value of digital adoption by developing a digital support system and further scaling up digital literacy, especially for start-ups. Overall, the study's findings will help the government understand the present status of start-ups' digitalization growth in India and the success rate of the Digital India mission. So, the e-governance system can be further strengthened accordingly.

Customer readiness to co-production of mobile banking services: a customer-only co-production perspective

This paper aimed to identify the antecedents and corollary of customer readiness for co-production in customer-only co-production services using mobile banking services as a context. Using a structured questionnaire, data were gathered from a sample of mobile banking customers in Ghana and the UK and the data analysis was facilitated by structural equation modelling. From the findings, the antecedents were customer socialisation, customer self-efficacy and customer motivation and the corollary was service productivity. The findings provide managers of customer-only co-production or technology-based services particularly mobile banking services with the specific factors that can be managed strategically and tactically to enhance customer readiness for co-production and service productivity. This study is one of a kind to conceptualise and empirically identify the antecedents and corollary of customer readiness for co-production within the customer-only co-production context. However, as the study was limited to mobile banking services, future studies might test the research model in other customer-only technology-based services.

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

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.

Factors affecting adoption of digital payments by semi-rural Indian women: extension of UTAUT-2 with self-determination theory and perceived credibility

Purpose

The aim of this research is to investigate the factors influencing the adoption of digital payments by the semi-rural women in India.

Design/methodology/approach

The study extended the factors of unified theory of acceptance and use of technology UTAUT-2, with perceived credibility and self-determination theory to understand the use behaviour of the rural Indian women. The study checked the mediating role of some constructs besides testing the direct relationship. The study was conducted in the rural parts of the adjoining areas of Delhi, where the women from different states, education and financial background live. The research model was empirically tested on 568 respondents using structural equation modelling (SEM) technique.

Findings

The research model was able to explain 72.6% variance in the user behaviour variable. Effort expectancy, habit, facilitating conditions as well as perceived competence emerged out to be significant determinants of use behaviour. Besides these direct relationships, two constructs, habit as well as facilitating conditions were found to partially mediate the relationship between behavioural intention and behaviour.

Originality/value

This study provides some very critical clues for the companies providing digital payment services, by highlighting the significant factors explaining the technology adoption by semi-rural women. The companies must devise suitable marketing strategies to inculcate trust in mind of perspective customers towards their companies as well as the service provided by them. The role of simple digital platform, that is easy to learn and use, is also an important element in determining the technology adoption.

What Motivates People to Pay for Online Sports Streaming? An Empirical Evaluation of the Revised Technology Acceptance Model

With the rapid development of Internet technology, sports media consumption is migrating toward streaming. The online streaming of sporting events has become the important way of copyrights holders to engage sports fans, especially young fans. Therefore, it is vital to understanding users' willingness to pay (WTP). Given that previous studies of the livestream sports broadcasts online have not dealt with users' payment intention, the originality of this study is that it explore users' motivation by combining information system research with the consumer demand theory. The study aimed to examine the factors that influence users' payment intention to stream online sports by using the extended Technology Acceptance Model (TAM). Data from questionnaires completed by 330 Chinese respondents determined how perceived usefulness, ease, enjoyment, and satisfaction, influence users' WTP. Satisfaction positively correlated with users' payment intentions, impacted WTP values, mediated ease of use. The analysis also revealed the necessity for broadcast platforms to improve satisfaction and to increase payment intentions.

Adoption of digital banking channels in an emerging economy: exploring the role of in-branch efforts

The aim of this qualitative study is to analyse the role of in-branch efforts of banks on migrating customers from branch banking to digital banking in India. In-depth semi-structured interviews were conducted with bank executives representing senior management from public and private sector banks in India. Qualitative content analysis technique was used to analyse the data. Varieties of responses received during interviews were clubbed into four main themes based on data reduction, display, and conclusion-drawing processes. In-branch communication with customers, digital transformation of the branch, customer-centric initiatives, and redefined role of branch staff hold the potential to bridge the customers’ migration to digital banking. The paper suggests that the key identified factor in improving digital banking acceptance in India is the requirement of integrated cultural and organisational changes at the bank’s level to gain the customers’ confidence and trust in digital banking.

Structural equation modeling and artificial neural networks approach to predict continued use of mobile taxi booking apps: the mediating role of hedonic motivation

Purpose

Mobile taxi booking apps (MTB) have revolutionalized the transportation industry. As taxis can be hired via smartphones, irrespective of any time or place, the business platform for taxi service has completely changed. Now customers are saved from the hassle of going to the designated taxi stands or waiting along the roadside. But, the long-term sustainability of this service depends on its continued use. Therefore, this study aims to explore factors that hedonically incline people toward continuance of MTB. To achieve the purpose, the unified theory of acceptance and use of technology (UTAUT) was extended with mediation effects of hedonic motivation.

Design/methodology/approach

The data were collected from existing users of MTB and analyzed through structural equation modeling and revalidated via artificial neural networks.

Findings

The statistical results show that the main factors of UTAUT substantially create hedonic motivation to use the apps and significantly mediate their effects on behavioral intention to continue using MTB. However, mediation between social influence and continuity intent was not statistically supported. The findings represent important contributions to the extended UTAUT.

Practical implications

This study adds value to the theoretical horizon and also presents M-taxi companies with useful and pertinent plans for efficient designing and effective implementation of MTB. Moreover, limitations and suggestions for future researchers are also discussed.

Originality/value

This study extends UTAUT with the mediating role of hedonic motivation to predict continued use of MTB, which further initiates the applicability of UTAUT in a new setting and a new perspective (post adoption). This, in turn, significantly expands theory by using hedonic motivation as an important attribute that could mediate impact of all main antecedents to shape customers loyalty toward system use.

Shaping Behaviors Through Institutional Support in British Higher Educational Institutions: Focusing on Employees for Sustainable Technological Change

Technology permeates all walks of life. It has emerged as a global facilitator to improve learning and training, alleviating the temporal and spatial limitations of traditional learning systems. It is imperative to identify enablers or inhibitors of technology adoption by employees for sustainable change in education management systems. Using the theoretical lens of organizational support theory, this paper studies effect of institutional support on education management information systems (EMIS) use along with two individual traits of self-efficacy and innovative behavior of academic employees in British higher educational institutions. Data for this cross-sectional study were collected through a questionnaire completed by 591 academic employees of 23 universities from 10 cities in the United Kingdom. Partial Least Square structural equation modeling was used to analyze data with smartPLS 3.2.9 software. Results indicate that institutional support promotes self-efficacy and innovative behavior that help develop positive employee perceptions. The model explains a 52.9% variance in intention to use. Post-hoc mediation analysis shows that innovativeness and self-efficacy mediate between institutional support and employee technology adoption behavior. As opposed to student samples in past studies on educational technology, this study adds to the literature by focusing on academic employees.

Influence of Perceived Risk Dimensions on e-Shopping Behavioural Intention among Women—A Family Life Cycle Stage Perspective

The relationship between perceived risk and behavioral intention (BI) in e-shopping, based on family life cycle (FLC) stages, has been analyzed in this work. Although FLC stages are considered to have a better predictive ability than age, few e-shopping studies have concentrated on understanding its effects. This study, as a pioneering effort, has divided Indian women based on nine FLC stages and has studied the role of ten dimensions of perceived risk on BI to shop online across each life cycle stage. Results show that different facets of risks had distinct effects on purchase behavior among women belonging to different FLC stages. In effect, this study shows the importance of splitting people based on FLC stages in e-marketing and its value in making marketing decisions.

m-Banking Quality and Bank Reputation

m-Banking is developed to support the clients in using various banking services, by using their mobile phones, thus allowing them to overcome the barriers in terms of time and location. Clients are increasingly using m-banking, so for some of them, this is the most used way of communication with the bank and doing banking transactions. Therefore, high-quality m-banking services significantly impact trust towards the bank, and it can influence bank reputation. Given the influence of m-banking, as well as the importance of its perceived quality, the paper aims to investigate the elements of m-banking quality, and to analyze the relation between m-banking quality and bank reputation. We investigate several dimensions of m-banking (safety, simplicity, and variety of m-banking services), and their impact on perceived m-banking quality. Besides, we examine the effect of perceived m-banking quality to bank reputation. For the analysis of these relationships, we use structural equation modeling, based on the survey results on a sample of clients of major banks in Croatia. Results of empirical research indicate that safety, simplicity, and a variety of m-banking services have a significant impact on the perceived m-banking quality, which, in turn, has a positive impact on the bank’s reputation.

How Do Institutional Pressures and Behavioral Intentions Affect Mobile Services Adoption?

Technology adoption models have been proposed in the literature to explain mobile banking adoption, but institutional pressures have not been addressed. Drawing upon behavioral intention and institutional theory, this study proposes a model to examine three institutional pressures - coercive, normative and mimetic - and how they affect mobile banking adoption including how such effects are moderated by perceived risk. The model was tested using survey data of 425 respondents. The results reveal institutional pressures, i.e., coercive and mimetic pressures, are positively associated with mobile banking adoption; but normative pressures have negative effects on mobile banking adoption. In addition, behavioral intention plays a mediating role between institutional pressures and mobile banking adoption, while perceived risk negatively moderates the relationship between behavioral intention and adoption. The findings provide valuable insights for bank managers who manage mobile banking services. Implications and suggestions for future research are provided.

Examining the impact of mobile interactivity on customer engagement in the context of mobile shopping

Purpose

This study aims to examine the impact of mobile interactivity dimensions (active control, personalization, ubiquitous connectivity, connectedness, responsiveness and synchronicity) on customer engagement.

Design/methodology/approach

A quantitative field survey study was conducted to collect the required data from actual users of mobile shopping in three countries: Jordan, the United Kingdom (UK) and Saudi Arabia.

Findings

The results are based on structural equation modelling and support the impact of five dimensions of mobile interactivity: active control, personalization, ubiquitous connectivity, responsiveness and synchronicity. The impact of connectedness is not supported. The results also support the significant impact of customer engagement on customer loyalty.

Research limitations/implications

This study only considered the shopping activities conducted by mobile channels, while other channels (e.g., online channels, traditional channels and social media shopping channels) are not considered. Furthermore, the current model does not consider the impact of personal factors (e.g., technology readiness, self-efficacy and user experience). The results of the current study present a foundation that can guide marketers and practitioners in the area of mobile shopping.

Originality/value

This study enriches the current understanding of the impact of mobile interactivity on mobile shopping, as well as how mobile interactivity can enhance the level of customer engagement.

Role of Personalization in Continuous Use Intention of Mobile News Apps in India: Extending the UTAUT2 Model

The aim of this study was to empirically examine the extended unified theory of acceptance and use of technology 2 (UTAUT2) model by adding “personalization” as one of the antecedents, as well as a moderator to determine the key factors for the continuous use intention of mobile news applications (apps). For this study, an online and manual sample survey of 309 respondents, who had used the news app earlier, was collected and analyzed, using quantitative methods such as explanatory and confirmatory factor analysis, structural equation modeling, and Hayes process for finding moderating effects among variables. The findings of the direct effect demonstrated that performance expectancy (PE) has the most influential effect on continuous use intention, followed by habit (HT), hedonic motivation (HM), and facilitating conditions (FC). Furthermore, the outcome of tests for the moderating effect of personalization between UTAUT2 constructs and continuous use intention (CUI) showed that personalization has a significant moderating effect on performance expectancy and habit. Therefore, this research establishes the key role of PE, HT, HM, and FC as main factors that trigger the users’ continuous use intention of news apps and provides an integrated framework to assess the moderating effect of personalization on technology acceptance. The findings of the research expand the existing literature on news applications and provide foundation for future research studies in the area of mobile news apps.

Examining the factors influencing adoption of e-banking services in Chennai City

India being a developing country still has millions of people who prefers to have traditional branch banking system rather than e-banking. The reason behind their preference is either they hesitate or they don't have sufficient knowledge about the e-banking services. The purpose of this study is to examine the relationship between perceived usefulness, perceived barriers, customer attitude, and perceived effectiveness of adoption of e-banking services. An effective number of responses of 470 respondents from both public and private banks' customers were used to examine the hypothesized relationships. Structural equation modelling are performed to test the constructs and their relationships. The study found that there is a direct relationship between perceived usefulness and technology adoption in developing customer attitude toward adoption of e-banking services; whereas, there is no relationship between perceived barriers and technology adoption. The sample size and potential respondents from a selected region of the study may limit its wider applicability and generalization.