Understanding consumers’ continuance intention towards mobile purchase: A theoretical framework and empirical study – A case of China

The Role of Individual Capabilities in Maximizing the Benefits for Students Using GenAI Tools in Higher Education

Although the adoption and benefits of GenAI (Generative Artificial Intelligence) tools among higher education students have been widely explored in existing studies, less is known about how individual capabilities influence the use of these tools. Drawing on the Information System Success Model (ISSM) and the Expectation-Confirmation Model (ECM), this study examines how students' capabilities, including critical thinking, self-directed learning ability, and AI literacy, impact the quality of information obtained from GenAI tools. Additionally, it explores the relationships among information quality, student satisfaction, and the intention to continue using GenAI tools in higher education. Survey data from 1448 GenAI tools users in Chinese universities reveal that students with stronger capabilities tend to extract higher-quality information, which in turn fosters their satisfaction with GenAI tools and the intention to continue using these tools. The findings highlight the crucial role of individual capabilities in maximizing the potential of GenAI tools, and it emphasizes the need to cultivate students' critical thinking, self-directed learning ability, and AI literacy to achieve sustainable success in the GenAI era. Theoretically, this study extends the ISSM and ECM by exploring the impact of students' capabilities and the mediating role of user satisfaction between information quality and the intention to continue using GenAI tools. Practically, this study provides implications for educators and policymakers to enhance students' capabilities, thus maximizing the potential benefits of GenAI tools in higher education.

Impact of Scene Features of E-Commerce Live Streaming on Consumers' Flow and Purchase Intentions of Sporting Goods

Purpose-The purpose of this study is to examine the mechanism of scene features (i.e., visual appeal, presence, and scene-product matching) of e-commerce live streaming and how it impacts consumers' flow and purchase intentions of sporting goods. Design/methodology/approach-To test the hypotheses in the conceptualized model that was developed based on the Stimulus-Organism-Response (S-O-R) model, sports consumers (N = 340) who watched e-commerce live streaming responded to an online survey administration. Structural equation modeling (SEM) was applied to examine the research model and test the hypotheses. Findings-The results reveal that scene features positively affect consumer flow experience, in which scene-product matching is the main contributing factor. Moreover, the flow experience plays a critical mediating role in influencing purchase intentions; meanwhile, the moderation role of sport identification was not found to be statistically significant. Originality/value-This study fills the void to explore how scene features of e-commerce live streaming influence consumer behavior associated with sporting goods merchandise through immersed flow experience. Confirming the applicability of the S-O-R model in the sports e-commerce live streaming setting, the findings of this study identify dimensions of scene features of e-commerce live streaming and highlight the significance of developing scene-product congruence features when designing, operating, and promoting live streaming programs while enhancing immersive involvement.

The impact of TikTok short video factors on tourists' behavioral intention among Generation Z and Millennials: The role of flow experience

Tourism advertising and tourism promotion have over the years been the core functions of tourism departments and major tourist sites. In relation to the progressing development of new media, the mobile short-form videos, which are short, focused, and have an engaging content, appear to be a useful means of advertising tourist destinations. In the digital era, short videos have become a new communication tool between destinations and consumers. This current study, based on the S-O-R model and flow experience, investigated the psychological processes through which TikTok attributes and technology evoke flow and lead to tourists' behavioral intention. Moreover, the TAM, i.e., PU and PEOU, as two technology factors, as well as three content attributes (entertainment, informativeness, and interactivity) were examined. The study utilized a quantitative approach and collected data from 412 respondents in China. The authors adopted the PLS-SEM method to confirm the directions hypothesized in this model. There are significant effects of PU, PEOU, and entertainment on flow experience (telepresence, time distortion, and focused attention). Interactivity impacts telepresence and time distortion, while informativeness impacts focused attention. Moreover, time distortion and focused attention impact tourists' behavioral intention. The results highlight several limitations and offer implications for future research as well.

How technical and situational cues affect impulse buying behavior in social commerce? Evidence from bored consumers

Introduction

With the rise of social media and web technologies, users are increasingly spending time on browsing and purchasing on social commerce, particularly during idle moments of casual scrolling. Social commerce applications with sophisticated social features and security measures may tend to attract a significant number of highly engaged users. The purpose of this study is to find out whether customers will be interested in the content posted on the applications and generate impulse consumption when they are bored.

Methods

Drawing on stimulus-organism-response framework, this paper explores how technical cues and situational cues affect impulse buying behavior in social commerce applications and the mediating impact of consumer-perceived values. Data were gathered from 395 respondents who frequently utilize and have shopping experience on social commerce applications. The PLS-SEM and fsQCA were applied to formulate and test the proposed hypotheses.

Results

The results of PLS-SEM reveal technical cues (ease of use, visual appeal and security) and situational cues (passing time and serendipity) positively influenced impulse buying. The results of fsQCA offer six solutions of different combinations of constructs which can lead to high impulse buying.

Discussion

These findings may extend existing research on impulse buying behavior and consumer psychology, offering valuable insights for marketers. They also point towards strategies for more effectively encouraging impulse purchase in digital retail environments, particularly among consumers who are browsing out of boredom.

The effect of mobile marketing antecedents on the purchase intention of staple products: A case of the bottom of the pyramid (BoP) market segment in Khayelitsha, South Africa

Purpose

This research seeks to ascertain the impact of mobile marketing antecedents on the purchase intention of staple products among BoP consumers to create a viable digital-commerce channel that serves this segment. To achieve this, the paper proposes that mobile marketing antecedents, such as service quality and price sensitivity, influence trust and satisfaction, which, in turn, influence the purchase intention of staple products.

Design/methodology/approach

A questionnaire was collected from 385 BoP consumers. Smart PLS 4 was used to analyse data using Structural equation modelling (SEM).

Findings

Service quality positively influences trust towards mobile marketing. In contrast, a similar positive trend was observed for satisfaction, price sensitivity, service quality, and purchase intentions. Surprisingly, satisfaction and trust did not influence purchase intentions.

Originality/value

Through the Value-Based Adoption Model (VAM), original contributions to the literature have been established, which have received little attention from consumer behaviour researchers, particularly in the context of emerging economies, to explore several mobile marketing antecedents that motivate or demotivate BoP consumers, who are mainly untapped, to make online purchases.

Uncover the trends, gaps, and main topics on online grocery shopping: Bibliometric analysis

This study uses the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) approach to curate many papers and select documents according to specific qualifications to include in a systematic literature review. At the identification stage, there are 1221 abstract documents showing their relation to online grocery shopping. Furthermore, the researcher selected 571 Scopus abstracts at the screening stage, and then through the VOS Viewers software, the researchers conducted a bibliometric analysis. The bibliometric analysis in this study aims to find trending topics and research gaps in online grocery shopping. At the eligibility stage, there are 170 full-text articles related to the issue of online grocery shopping; until the last stage, through manual selection, the researcher determined 43 full-text articles that met the qualifications for in-depth analysis using a systematic literature review approach. The research findings state that there are several main topics on online grocery shopping, such as customer segmentation and shopping preferences, grocery online shopping behavior, and intentions on online grocery shopping. The findings of this study explain the factors that influence the decision to use online grocery shopping that become a reference for further research to design a model of online grocery shopping intentions.

Developing a success model of a social student relationship management system

Social media's significance in higher education has increased due to its capacity to enhance participation, communication, teamwork, and information sharing. Important notifications, updates, and reminders can be promptly received by all members of the university community, assuring that information is shared with everyone. The objective of this study is to develop a model for a Customer Relationship Management (CRM) system in higher education that is based on social media and intends to increase student satisfaction, loyalty, and profitability. It blends the idea of trust with Delone Mclean success model. Partial Least Squares-Structural Equation Modeling (PLS-SEM) was used to evaluate the data that was gathered from 606 Jordanian private university students via an online survey. The findings demonstrated that user satisfaction affects social media usage and that system quality, information quality, service quality, and trust must all be considered to attain user satisfaction. This study examines how to create a CRM system based on social media in Jordanian universities. The study makes significant contribution to the development criteria for evaluating social media-based CRM systems in higher education institutions, and its broad conceptual model cloud be expanded and tested in future studies. This study is the first to investigate the use of social media to develop a CRM system for Jordanian universities. This is a novel study, and the work significantly create a set of criteria for evaluating social media-driven CRM systems in higher education. The study's expansive the model may serve as the base for more research in this field.

Predicting m-health acceptance from the perspective of unified theory of acceptance and use of technology

Addressing the growing popularity of mobile health (m-Health) technology in the health industry, the current study examined consumers' intention and behaviour related to the usage of digital applications based on the unified theory of acceptance and use of technology (UTAUT). In particular, this study quantitatively assessed the moderating role of perceived product value and mediating role of intention to use m-Health application among Indonesians. This study adopted a cross-sectional design and collected quantitative data from conveniently selected respondents through an online survey, which involved 2068 Telegram users in Indonesia. All data were subjected to the analysis of partial least square- structural equation modeling (PLS-SEM). The obtained results demonstrated the moderating effect of perceived product value on the relationship between intention to use m-Health application (m-health app) and actual usage of m-Health app and the mediating effects of intention to use m-Health app on the relationships of perceived critical mass, perceived usefulness, perceived convenience, perceived technology accuracy, and perceived privacy protection on actual usage of m-Health app. However, the intention to use m-Health app did not mediate the influence of health consciousness and health motivation on the actual usage of m-Health app. Overall, this study's findings on the significance of intention to use m-Health app and perceived product value based on the UTAUT framework serve as insightful guideline to expand the usage of m-Health app among consumers.

Understanding smart education continuance intention in a delayed benefit context: An integration of sensory stimuli, UTAUT, and flow theory

Smart education is a combination of AI and education, and its benefits are delayed. Existing research lacks an understanding of smart education continuance intention in the context of this delayed benefit. Thus, this study aimed to examine users' continuance intention in a delayed benefit context by integrating sensory stimulus, the extended UTAUT, and flow theory. The study focused on a mobile-based smart education (MBSE) system (Liulishuo) and collected data on 494 MBSE users. The PLS-SEM analysis suggested that the model is largely supported. Identifying MBSE's technical attributes as sensory stimuli, the extended UTAUT as primary information processing, flow as secondary information processing, and continuance intention as a decision, this study verifies the relationships between various constructs and their influence on MBSE continuance intention. The results also indicate that a user's flow state plays a crucial role in strengthening continuance intention and realizing the delayed benefits of smart education. Thus, this study provides a deeper understanding of continuous usage mechanisms as they relate to smart education.

Understanding e-satisfaction, continuance intention, and e-loyalty toward mobile payment application during COVID-19: an investigation using the electronic technology continuance model

This research examined the determinants of e-satisfaction, continuance intention, and e-loyalty regarding the use of mobile payment applications (MPAs). It developed and validated the electronic technology continuance model (e-TCM) integrating a psychological factor (perceived threats), e-satisfaction, circumstantial factor (perceived anxiety), and the dimensions of quality. Using a questionnaire, data was collected from 455 respondents and analyzed using structural equation modeling. The influences of information quality, service quality, system quality, perceived usefulness, and confirmation on both e-satisfaction and continuance intention are found positive. However, perceived threats and perceived anxiety do not influence e-satisfaction but influence continuance intention. Moreover, e-satisfaction positively impacts continuance intention and e-loyalty; and continuance intention positively impacts e-loyalty. This research evidences the roles of perceived threat, e-satisfaction, perceived anxiety, and the dimensions of quality on customers’ e-satisfaction, continuance intention and e-loyalty, using the integrated framework comprising the health belief model, expectation–confirmation model, and information systems success model. The findings of this research can guide MPA services providers, online businesses, industry analysts, suburban consumers, and respective government authorities when MPA usage is concerned during any unprecedented crisis such as the COVID-19 pandemic.

Design is More Than Looks: Research on the Affordance of Review Components on Consumer Loyalty

BACKGROUND

Online review system contains multiple components, such as ratings, review text, product pictures, and video uploads, that could affect consumer loyalty. However, how the affordance of such components influences perceptions and behaviors of consumers remains unclear. We extend stimulus-organism-response (S-O-R) theory to the online review system. Specifically, we combine affordance theory and the technology acceptance model (TAM) to investigate the relations among the affordance of review systems, consumers' perceived beliefs, and their loyalty.

METHODS

We surveyed 320 customers on their online shopping experiences in China. We tested our hypotheses using the partial least squares path structural equation modeling (PLS-SEM) method. We report the direct effect of affordances of review components on consumer loyalty and its indirect effects on consumer loyalty through perceived beliefs.

RESULTS

Our results show that integrity and social interaction affordance of review components have significant relations with perceived ease of use, perceived usefulness, and perceived enjoyment. Intelligent topic mining reveals a positive relation on perceived enjoyment. Operability has a positive relation with perceived ease of use and perceived usefulness. These three consumer-perceived beliefs can mediate, to different degrees, the relationship between affordance of review components and consumer loyalty.

CONCLUSION

This research takes an innovative approach to offer insights into the relationships between IT affordances and consumer perceptions. We examine S-O-R theory through the lens of information technology and extend S-O-R theory by integrating IT affordances. Our research findings pave the way for businesses to design and implement more effective online review systems.

What keeps me engaging? A study of consumers' continuous social media brand engagement practices

Purpose

This study examines some pertinent individual-level factors and consequences of consumers' continuous social media brand engagement (SMBE) practices. Further, this study examines the moderating effect of other-efficacy to deepen the understanding.

Design/methodology/approach

Online survey data collected from 785 respondents, through a convenience sampling technique on Facebook, was analyzed through structural equation (SEM) modeling with AMOS 23.0.

Findings

The findings suggest that compatibility with lifestyle, perceived information quality and escapism, which significantly drive consumers' continuous engagement with brands on social media. However, perceived enjoyment does not. Other-efficacy duly moderates consumers' continuous SMBE practices. While continuous SMBE significantly drives consumer-based brand equity (CBBE), continuous SMBE does not have any significant relationship with consumers' subjective well-being (SWB).

Research limitations/implications

This study reports robust findings on the effects of individual-level factors that drive consumers' continuous SMBE practices. However, the study only focused on Facebook brand pages. This is a limitation for generalizability of results because the research did not take a holistic view of all types of social media.

Practical implications

The research suggests a need for managers to project their brands and share relevant and stimulating information throughout their continuous SMBE with consumers to build strong consumer–brand relationships. Managers should also engage consumers with interesting social media messages as well as both informative and transformative creative strategies to excite them. This will further give consumers a reason to continuously interact with the brand on social media platforms.

Originality/value

This study is one of the very few works to tease out pertinent factors that drive consumers' continuous SMBE practices. The paper integrates the consumer-level factors and moderating effects of other-efficacy through the lens of Social Cognitive Theory (SCT) and Uses and Gratification Theory (UGT) to make a significant contribution to the SMBE literature.

Unprofessional or Admirable? Determinants of Purchasing Behavior in Government Officials' Livestreamed Shopping

As a new form of poverty governance, government officials' livestreaming e-commerce of agricultural and sideline products has been booming since the outbreak of the coronavirus disease (COVID-19) in 2019. However, exploring the determinants of consumer purchase intentions in the context of government officials' livestreaming is still limited. Drawing on the stimulus-organism-response (S-O-R) framework, this study develops a research model to examine the effect of platform factor (information quality), user factor (bullet screen mutuality), and streamer factors (streamer trustworthiness, streamer expertise, and streamer responsiveness) on perceived information usefulness and arousal, which in turn affect purchase intention. This study also integrates impulsiveness as a moderator. We use structural equation modeling to analyze 430 samples. Our results show that perceived information usefulness and arousal have a significant positive influence on purchase intention. Moreover, impulsiveness moderates the relationship between perceived information usefulness and purchase intention and between arousal and purchase intention. Livestreaming features and streamer characteristics can activate these two mechanisms. This study provides theoretical contributions to livestreaming and the S-O-R literature, as well as practical insights into livestreaming government officials.

Factors Affecting User Retention of Mobile Mutual Fund Investment Applications: Evidence from Indonesia

Mutual fund is one of the most popular investment programs, especially among small investors. Currently, many mobile-based applications are available, facilitating the buying and selling of mutual funds. This number of choices creates competition between application developers, pressuring them to find ways to maintain user loyalty by increasing user retention rates. However, only a few studies have currently discussed user retention in mutual fund investment applications. Furthermore, previous studies never examined the quality factor of the application but instead focused more on other factors outside the application. This study analyzed the factors influencing user retention on mutual fund investment applications in Indonesia from the application’s quality and usability aspects. This study was based on the expectation-confirmation model (ECM) as the underlying theory. Data were collected using a survey questionnaire resulting in 414 responses, which were then processed and analyzed using the covariance-based structural equation modeling (CB-SEM) technique. The results of this study indicate that three variables can directly affect user retention in mutual fund investment applications: satisfaction, perceived usefulness, and perceived enjoyment. The satisfaction variable had the most significant influence of these three variables. Several factors influenced satisfaction: perceived usefulness, enjoyment, ease of use, trust, confirmation, prompt response, and security.

Drivers of post-adoption of e-wallet among academics in Palestine: An extension of the expectation confirmation model

E-wallet is one of the latest innovations in the field of payments. However, despite numerous studies on the adoption of e-finance systems, the post-adoption phase is largely neglected. In this paper, we use the extended Expectation Confirmation Model (ECM) to address this gap by focusing on the study of consumers’ continuous intentions regarding the use of an e-wallet service. We conducted an electronic questionnaire-based survey among 503 e-wallet users in Palestine. Using structural equation modeling to analyze the conceptual model of the study, our results confirm that satisfaction, trust, and perceived usefulness have a significant impact on consumers’ continuous intention regarding e-wallet. In addition, the study found that perceived security has an insignificant impact on consumer satisfaction. The study has several implications: E-wallet providers should improve their services in terms of performance, privacy, and security to ensure customer loyalty in this competitive industry.

The addiction behavior of short-form video app TikTok: The information quality and system quality perspective

TikTok has one of the most advanced algorithm systems and is the most addictive as compared to other social media platforms. While research on social media addiction is abundant, we know much less about how the TikTok information system environment affects users' internal states of enjoyment, concentration, and time distortion (which scholars define as the flow experience), which in turn influences their addiction behavior. To fill this gap, this study collects responses from 659 adolescents in China aged between 10 and 19 years old, and the data is then analyzed using Partial Least Square (PLS). We find that the system quality has a stronger influence than information quality in determining adolescents' experience with TikTok and that the flow experience has significant direct and indirect effects on TikTok addiction behavior. Notably, this study finds that TikTok addiction is determined by users' mental concentration on the medium and its content. Several theoretical insights from the stimulus-organism-response (S-O-R) model and the flow theory are used to explain the findings.

The effects of chatbots’ attributes on customer relationships with brands: PLS-SEM and importance–performance map analysis

Purpose

Many firms are investing in digital services to improve customer experiences. Virtual service agents, or “e-service agents” (“e-agents”) such as chatbots, are examples of these efforts. Chatbots are types of virtual-assistant software programs that interact with users through speech or text. This paper aims to investigate whether the perceived hedonic and utilitarian attributes of chatbots can influence customer satisfaction and, consequently, their relationships with brands.

Design/methodology/approach

Data were collected through a questionnaire-based survey among a sample of Italian consumers. A convenience sampling technique was used. Data were then analyzed through Partial Least Squares Structural Equation Modeling to provide a prediction-oriented model assessment. The findings were then complemented with an importance–performance map analysis (IPMA) to gain more detailed insights and actionable guidelines for managers.

Findings

The findings highlighted that the perceived hedonic and utilitarian attributes of chatbots positively influenced customer satisfaction and improved customer relationships with the brands. However, the IMPA highlighted that the performance levels of two most important attributes – system quality and experience with chatbot – could be improved resulting in additional improvements of customer satisfaction.

Practical implications

This study suggests the importance of firms’ investments in and adoption of e-agents to strengthen consumer–brand relationships and of considering both the hedonic and utilitarian attributes of their e-agents.

Originality/value

This article attempts to enrich and consolidate the growing body of literature concerning the impacts of new technologies – and, specifically, chatbots – in service marketing.

Why do people continue using mobile wallets? An empirical analysis amid COVID-19 pandemic

This paper aims to formulate and test a comprehensive model by integrating the strengths of the TAM and IS success model and the addition of two constructs, namely promotional offers and situational influence, to explain the continued usage intention of mobile wallets. Using an online survey, data were gathered from 588 mobile wallet users who had prior experience using mobile wallets for more than six months. The data were examined using the partial least square-structural equation modelling to investigate relationships between variables and test the hypothesised model. The proposed model disclosed 62.6% of the variance in continued usage intention. The situational influence of COVID-19 emerged as the strongest predictor, followed by satisfaction. This study offers valuable insights to service providers and policymakers involved in executing and deploying mobile wallet services. For academicians, this research presents a comprehensive framework that investigates the continued usage of mobile wallets.

Exploring the information quality of mobile government services: a literature review

This article aims to investigate the constructs that can be used to evaluate the information quality (IQ) of mobile government services. The dimension of IQ is one of the fundamental constructs that assesses the extent of information based on its accuracy, usefulness, and timeliness. Based on the review of previous studies, there is a lack of studies related to mGovernment service quality. It is not practical to measure the service quality of mGovernment by using other measurement scales such as e-service, e-commerce, or e-government. Therefore, it is necessary to understand each dimension that guides constructing a comprehensive framework to measure service quality at mGovernment. The constructs of information quality were extracted from previous literature in mobile government, mobile application service, and e-government to understand the development stages, structure, and unique features-this guide to conduct the systematic literature review to clarify the constructs belonging to the evaluation of information quality. The present article identified six constructs-understandability, timeliness, accuracy, completeness, availability, and usefulness-to measure the information quality of mobile government service. There is limited literature on mGovernment information service quality. With the development of government services on mobile devices, it is necessary to measure information quality at mGovernment service channel to understand users' expectations. The mGovernment service provider benefits from measuring the service quality by improving the strategy and criteria of information at mGovernment portal. In addition, the end-users expect to perform the service with the best quality level of the information supplied and displayed on mGovernment platform.

Chinese Consumers' E-Learning Satisfaction and Continuance Purchase Intention on Paid Online Python Course

With the development of internet technology, e-learning has become an essential part of the modern education system. However, the e-learning market faces enormous competition. Consumers' continuance purchase intention has become a vital factor in the success of e-learning courses. Thus, factors that influence consumers' continuance purchase intention should be examined in the e-learning market. However, little research has focused on identifying the continuance purchase intention of an e-learning course. Based on the information system continuity model ISC), this paper develops a research model to investigate the factors influencing satisfaction and continuance purchase intention in e-learning. A cross-sectional, questionnaire-based research design was used in this study. We collected data from consumers who had enrolled in paid online Python courses. In total, 508 paid online Python course users completed the online survey. SmartPLS software was used for data analysis. The results demonstrated that perceived course quality, service quality, convenience, and usefulness significantly affect consumers' satisfaction with the experience course. Moreover, the findings show that satisfaction, self-efficacy, and e-word of mouth (e-WOM) determine the consumers' continuance purchase intention of the reminder course. This study also found that satisfaction mediates the effects of experience courses on consumers' continuance purchase intention of the online Python course. The implications for theory and practice and future research directions are discussed.

A Holistic Perspective Model of Plenary Online Consumer Behaviors for Sustainable Guidelines of the Electronic Business Platforms

The holistic perspective model is a concept of three stages that considers the whole of online consumer behavior. It is based on dynamic aspects and overview measurement to demonstrate the preliminary of three stages, including “Pre-purchase”, “Purchase” and “Post-purchase”. There is a shared purpose for all the positive, negative, and hesitation factors that inhibit or encourage online shopping decisions. This model can capture the dynamic and fast-changing elements in online shopping platforms. Most online buying-selling platforms are gaining popularity and growing rapidly. Thus, they should maintain good levels of online customers’ satisfaction. This research presents a balanced investigation model of online consumer purchasing behaviors under uncertainty through the integration of Push-Pull Mooring (PPM) theory and the three stages of online consumer behaviors. In this study, questionnaires were collected from 525 online applications from experienced users of electronic business platforms. The outcome reveals that PPM affects three stages of online consumer behaviors. This means that PPM factors influence online customers during and after online shopping. This research can be used to develop attractive online shopping applications for prospective customers while retaining existing customers, which is the challenge faced by online shopping platforms.

Accessing the Influence of User Relationship Bonds on Continuance Intention in Livestream E-Commerce

With the rapid development of livestream e-commerce, enhancing user’s continuous use of livestream e-commerce has become a focus of livestream e-commerce operators, but the mechanisms have not gone through much exploration by which relationship bonds affect continuance intention. Therefore, this study proposes and validates a new theoretical model based on relational bonds to systematically investigate the relationship between relational bonds, cumulative satisfaction and continuance intention in livestream e-commerce scenario, and discusses the boundary role of affective commitment in it. A valid sample of 546 livestream e-commerce users was used for structural equation modeling analysis. The results found that the effects of social bonds and structural bonds on cumulative satisfaction were significant, but the effects of financial bonds were not significant; the effects of cumulative satisfaction on continuance intention were significant; and affective commitment had a positive moderating effect on the relationship between cumulative satisfaction and continuance intention. This study examines the practical effects of continuance intention of livestream e-commerce users and provides a reference for the operation management and business practice of livestream e-commerce.

Assessing the Effects of the COVID-19 Pandemic on M-Commerce Adoption: An Adapted UTAUT2 Approach

The COVID-19 pandemic has impacted consumers’ lives and their shopping patterns, leading them towards mobile commerce. To address current shopping circumstances, an adapted UTAUT2 model aims to integrate trust and perceptions of the effects of the COVID-19 pandemic on consumers’ behavioral intention to rely on m-commerce during this period. The study proposes a research model which is investigated with the help of structural equation modelling in AMOS. Using the framework of a cross-sectional study, data were collected from an emerging market in Romania, where internet speed ranks 4th worldwide and where the yearly increase in internet and social media users is approximately 10%. By using confirmatory factor analysis and structural equation modelling, the research validates the applicability of UTAUT2 in examining consumers’ behavioral intent of using m-commerce during a pandemic. Hedonic motivation is the strongest predictor of consumers’ behavioral intentions to continue using m-commerce. The findings contribute to understandings of consumers’ behavior with m-commerce in an emerging market, extending knowledge based on the adapted UTAUT2 model and allowing for comprehension of the key role of trust and social influences in affecting consumers’ perceptions of the COVID-19 outbreak in relation to shopping patterns.

Does e-shopping service quality enhance customers’ e-shopping adoption? An extended perspective of unified theory of acceptance and use of technology

This research advances the knowledge in customer behavior literature by adding new exogenous and moderating variables to the UTAUT framework. It explores the relationships among e-shopping service quality (an exogenous variable), e-shopping drivers (performance expectancy, effort expectation, social influence, and facilitating conditions), e-shopping intention, and e-shopping adoption with the moderating role of offline brand trust in an e-shopping context. Structure equation modeling was performed to confirm the distinctiveness of variables and path analysis based on a sample size of 356 e-shoppers in Pakistan. The outcomes demonstrate that e-shopping drivers are influenced by e-shopping service quality. Moreover, e-shopping intention and e-shopping adoption are led by e-shopping drivers. Furthermore, the relationship between e-shopping drivers and e-shopping intention is moderated by offline brand trust. The discussion of theoretical and practical implications and study limitations are also presented.

Validation of the Double Mediation Model of Workplace Well-Being on the Subjective Well-Being of Technological Employees

In recent years, workplace well-being has been a popular research topic, because it is helpful to promote employees’ welfare, thereby bringing valuable personal and organizational outcomes. With the development of technology, the technology industry plays an important role in Taiwan. Although the salary and benefits provided by the technology industry are better than other industries, the work often requires a lot of time and effort. It is worth paying attention to whether a happy workplace will bring subjective well-being for the technology industry in Taiwan. This study explored the influence of workplace well-being, job involvement, and flow on the subjective well-being. The research was conducted by a questionnaire survey. A total of 256 employees in the technology industry in the Nanzi Processing Zone in Kaohsiung City, Taiwan were surveyed. Collected data were analyzed by statistical methods, such as multivariate and structural equation models. The study results indicated that workplace well-being, flow, and job involvement have a positive and significant impact on the subjective well-being. In addition to having a direct impact on subjective well-being, flow is also a significant variable to mediate the impact of workplace well-being to subjective well-being. In addition, job involvement also affects subjective well-being through flow, which means that the state of selflessness at work is the most important factor affecting subjective well-being. Finally, based on the research findings, the researcher provided practical suggestions to the government and the technology industry.

Factors Affecting the Repurchase Intention of Organic Tea among Millennial Consumers: An Empirical Study

The study aims to identify the factors affecting consumers’ intention to repurchase organic tea in an emerging country such as Bangladesh. The study adopted the Stimulus-Organism-Response (SOR) theory, which uses seven constructs as the predictor of repurchase intention. This is a quantitative and empirical study that adopted cross-sectional survey methods. The convenience sampling method was used to collect data from 340 young respondents who visited supermarkets in Dhaka between October and November 2021. In order to analyze the obtained primary data, the structural equation modeling (SEM) approach was used. The findings revealed that product satisfaction, perceived values and brand trust are the predictors of repurchase intention. Surprisingly, we did not find that promotional efforts effected repurchase intention. The study also identified food quality and information quality as the antecedents of perceived value and product satisfaction, while the antecedents of brand trust were product satisfaction, food quality, brand image, information quality and promotional effort. The study suggested numerous theoretical and policy implications to improve repurchase intention of organic tea in the context of emerging economies such as Bangladesh.

Determining the factors of m-wallets adoption. A twofold SEM-ANN approach

M-wallets are comparatively more advantageous and convenient than conventional payment systems as m-wallets allow users to avoid cash. The present research uses the diffusion of innovation theory as the base theory to propose a research model by incorporating constructs like convenience, perceived security, personal innovativeness, and perceived trust to investigate the determinants of consumers' intention-to-use m-wallets. A twofold approach comprising of Structural Equation Modelling-Artificial Neural Network (SEM-ANN) was used: First, partial least squares structural equation modelling (PLS-SEM) was employed to determine the significant determinants of intention-to-use. Second, the ANN approach was applied as robustness to corroborate the outcomes of PLS-SEM and to estimate the relative importance of the SEM-based significant determinants. Our findings confirmed that compatibility, ease of use, observability, convenience, relative advantage, personal innovativeness, perceived trust, and perceived security are the key elements that influence the intention-to-use m-wallets. Moreover, we ascertained that perceived security is the most influential predictor of intention-to-use. The outcomes of ANN have complemented the findings of PLS-SEM, but some differences were also exhibited in the order of influential factors. The study brings to fore significant insights and a set of suggestions for the companies carrying out the development, execution, and marketing of M-wallet services.

ANALYZING THE EFFECT OF ONE-STOP SHOPPING ON PURCHASE INTENTION IN E-COMMERCE

Beginning with the advent of the Internet in the mid-nineties, e-commerce has started to be a viable alternative way of shopping for the consumers worldwide. Without doubt, it could be said that e-commerce has become indispensable in our lives. Recent global pandemic has increased e-commerce adoption by elderly people even further as the sole way of buying their needs. This paper studies the direct and indirect effects of product portfolio in B2C e-commerce web sites on customers’ purchase intention through perceived value and brand loyalty. SEM method was used to test the hypotheses. The results of the study indicate that product portfolio does not have a direct effect on purchase intention. However, it does have an indirect influence on purchase intention through perceived value and brand loyalty. As a result, this study validates the extant literature by confirming the mediating role of brand loyalty between the relationship between perceived value and purchase intention. The findings obtained are believed to provide significant contribution to the related e-commerce literature.

How Does Gender Moderate Customer Intention of Shopping via Live-Streaming Apps during the COVID-19 Pandemic Lockdown Period?

Shopping through Live-Streaming Shopping Apps (LSSAs) as an emerging consumption phenomenon has increased dramatically in recent years, especially during the COVID-19 lockdown period. However, insufficient studies have focused on the psychological processes undergone in different customer demographics while shopping via LSSAs under pandemic conditions. This study integrated the Unified Theory of Acceptance and Use of Technology 2 with Flow Theory into a Stimulus-Organism-Response framework to investigate the psychological processes of different customer demographics during the COVID-19 lockdown period. A total of 374 validated data were analyzed by covariance-based structural equation modelling. The statistical results demonstrated by the proposed model showed a significant discrepancy between different gender groups, in which Flow, as a mediator, representing users’ engagement and immersion in shopping via LSSAs, was significantly moderated by gender where connection between stimulus components, hedonic motivation, trust and social influence and response component perceived value are concerned. This study contributed a theoretical development and a practical framework to the explanation of the mental processes of different customer demographics when using an innovative e-commerce technology. Furthermore, the results can support the relevant stakeholders in e-commerce in their comprehensive understanding of customers’ behavior, allowing better strategical and managerial development.

An Integrated Analysis of Value-Based Adoption Model and Information Systems Success Model for PropTech Service Platform

This study develops a sustainable PropTech service model. Specifically, it analyzes the consumer-oriented and service provider-oriented service elements to build a sustainable ecosystem. This study also conducts a preliminary examination to standardize an efficient service platform reflecting the consumer and service factors. Hence, the study analyzes the service factors of users and derives a reference for the quality-of-service design using the value-based adoption model and the information systems success model, respectively. By integrating these models, we develop a tool to analyze empirically the important elements influencing PropTech users. To this end, we conducted a questionnaire survey among 530 PropTech users from 24 August 2021 to 14 September 2021. The results show that the consumer’s intention to use services is influenced by service practicability in terms of consumer value. The intention to continue using a service is influenced by user satisfaction. The results also highlight the importance of considering all the quality factors when building a user-friendly service platform. These findings have implications in that they show the importance of a sustainable PropTech service platform in resolving information asymmetry, promoting transparent transactions, and enhancing productivity in the real estate industry.

Understanding the influence of privacy protection functions on continuance usage of push notification service

Purpose

Push notification service (PNS) is an important approach to distribute personalized information to users timely and is getting more and more popular. However, users' privacy concerns are a major inhibiting factor in their continuance usage of PNS. This study investigates the effect of privacy protection functions provided by PNS sites in enhancing users' perceived fairness on the basis of justice theory to mitigate users' concerns of information privacy. The mechanism underlying such influence on users' continuance usage of PNS comprises privacy concern and privacy-control self-efficacy.

Design/methodology/approach

Four scenario-based surveys are conducted to test the proposed hypotheses. The authors test the research model with a sample of 360 participants by ANOVA and PLS.

Findings

Results show that the proposed privacy protection functions have direct positive effects on users' privacy-control self-efficacy, negative effects on privacy concern and indirectly affect their continuance usage of PNS. Furthermore, the interaction effects between two approaches have different impacts on users' privacy concern and privacy-control self-efficacy.

Originality/value

This study provides some suggestions and guidance for PNS providers to design effective privacy protection technologies.

A retentive consumer behavior assessment model of the online purchase decision-making process

Nowadays, most shoppers use e-business online platforms. However, consumer behaviors need to be studied in terms of satisfaction and the intention to purchase and re-purchase according to the online shopping process because online shopping platforms still have influenced their usage behaviors. This work proposes a retentive consumer behavior assessment model of the online shopping platforms through integration of Technology Acceptance Model and Online Purchase Decision-Making Process with two input factors: Trust and Quality. A questionnaire designed according to all factors from the proposed conceptual model is used to collect data from a sample group. The participants of this study are 384 respondents who have experienced using online shopping platforms. The data is used to analyze causal relationships through the use of structural equation modeling. The results showed that the proposed model can be explained for the relationship with consistent E-Business platforms affecting purchase and continue to purchase (re-purchase or recommend) behaviors of online trading users, and it also can be used to assess purchasing behaviors and repeating purchases of online consumers through 3 types of E-businesses: E-commerce, M-commerce, and S-commerce. The benefit of this study will help online shopping businesses to strategize the development of designed platforms for consumers' needs.

The use of food delivery apps during the COVID-19 pandemic in Brazil: The role of solidarity, perceived risk, and regional aspects

This study aimed to evaluate the use of food delivery apps (FDA) during the COVID-19 pandemic in Brazil. A total of 950 questionnaires were collected, covering four Brazilian regions: Southeast, Central-West, Northeast, and South. The data was collected during the peak of the second wave of the pandemic. A questionnaire with 39 measurement items was applied using an online survey. These items were evaluated using a five-point Likert scale covering the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). The data was analyzed using covariance-based structural equation modeling. About 47% of consumers use FDA weekly. The continuance intention of FDA during the pandemic in Brazil was affected by performance expectancy (β = 0.496; p < 0.001), social influence (β = 0.094; p < 0.001), hedonic motivation (β = 0.068; p = 0.026), price value (β = 0.103; p < 0.001), habit (β = 0.305; p < 0.001), frequency of using FDA (β = 0.051; p = 0.039), and solidarity with the foodservice sector (β = 0.090; p < 0.001). It was also observed that the continuance intention reduces risk perception (β = −0.403; p < 0.001), and risk perception reduces the frequency of using FDA (β = −0.178; p < 0.001). The results indicate that the UTAUT2 strongly explains consumers’ continuance intention. Differences in path estimates among Brazilian regions were observed, indicating some regional differences. It was possible to observe a tendency of using FDA during and after the pandemic, motivated by several factors. The FDA developers and foodservice managers could use this data to improve their services. Policies must be established to increase consumer and employee safety during the delivery service.

Understanding the factors of mobile payment continuance intention: empirical test in an African context

Few studies have been conducted about individuals' continuance to use m-payment, especially in an African context. This study investigates the continuance intention to use m-payment, employing two theoretical models: the DeLone and McLean information system (D&M IS) success model and the expectation-confirmation model (ECM) in an African context. We collected 338 questionnaires through an online survey to evaluate and validate the proposed theoretical model, using partial least squares - structural equation modelling (PLS-SEM). Our results indicate that the most important predictors of continuance intention to use m-payment are individual performance, use, and satisfaction. The results present useful insight to understand continuance intentions toward mobile payment in an African context. The integration of D&M IS success model, and the ECM model is to allow us to understand the main factors affecting the continuance intention to use mobile payment in the African context. By combining these two models we show how to compensate for and complement the weaknesses and strengths of the models, solidifying our findings of continuance intention with a stronger model that is otherwise not possible.

Determinants of Continuance Intention towards Banks’ Chatbot Services in Vietnam: A Necessity for Sustainable Development

To improve customer experience and achieve sustainable development, many industries, especially banking, have leveraged artificial intelligence to implement a chatbot into their customer service. By integrating DeLone and McLean’s information systems success (D&M ISS) model and the expectation confirmation model (ECM) with the factor of trust, the aim of this study was to investigate the determinants of users’ continuance intentions towards chatbot services in the context of banking in Vietnam. A total of 359 questionnaire surveys were collected from a real bank’s chatbot users and analyzed using structural equation modeling. The findings revealed that users’ continuance intentions towards the banks’ chatbot services were influenced by satisfaction, trust, and perceived usefulness, of which trust had the strongest effect. The results also indicate that information quality, system quality, service quality, and confirmation of expectations had significant effects on three drivers of continuance intention in different ways. Our study contributes to the literature by providing a more comprehensive viewpoint to understand the perceptions and reactions of chatbot users in the post-adoption stage. The results of this study also yield several key suggestions for banking service providers on how to increase their customers’ intentions to continue using chatbot services, serving as a basis for long-term and sustainable development strategies in the current digital era.

Identifying design guidelines for online information resources: a study of expectant and new mothers

Purpose

The purpose of this article is to identify design guidelines for online resources based on the subjective assessment criteria used by individuals to assess and process information resources. This method of creating design guidelines targeted at precise user groups has the potential to aid designers and developers to create more user-centred information resources.

Design/methodology/approach

The authors gathered data using a prospective longitudinal study investigating the information behaviour of expectant and new mothers. Women were asked to report on their information-seeking activities in a series of semi-structured interviews covering pregnancy and early motherhood.

Findings

This research identified 15 assessment criteria that were utilised by women to assess and process information resources. The most popular resource criteria amongst participants were credibility and convenience, while completeness and relevance were the most popular information content criteria. The authors found that assessment criteria were not considered in isolation, with criteria such as formatting and search engine ranking impacting on participants' perception of other criteria.

Practical implications

This research demonstrates the potential of linking a user groups subjective assessment criterion to design guidelines. The authors propose that these guidelines could be used to help design an online information resource. They could also be used to assess if an existing online resource met the needs of a user group. The methodology used in this study could be leveraged to create design guidelines for user groups.

Originality/value

This research uses subjective assessment criteria as a means of understanding how expectant new mothers process information resources. People use subjective judgements when processing information resources, and this should be incorporated into the design of information resources. Analysing longitudinal data allowed the authors to build a rich picture of how participants evaluated and compared different information resources.

Social media intention mining for sustainable information systems: categories, taxonomy, datasets and challenges

Intention mining is a promising research area of data mining that aims to determine end-users’ intentions from their past activities stored in the logs, which note users’ interaction with the system. Search engines are a major source to infer users’ past searching activities to predict their intention, facilitating the vendors and manufacturers to present their products to the user in a promising manner. This area has been consistently getting pertinence with an increasing trend for online purchasing. Noticeable research work has been accomplished in this area for the last two decades. There is no such systematic literature review available that provides a comprehensive review in intension mining domain to the best of our knowledge. This article presents a systematic literature review based on 109 high-quality research papers selected after rigorous screening. The analysis reveals that there exist eight prominent categories of intention. Furthermore, a taxonomy of the approaches and techniques used for intention mining have been discussed in this article. Similarly, six important types of data sets used for this purpose have also been discussed in this work. Lastly, future challenges and research gaps have also been presented for the researchers working in this domain.

Consumers' Intention to Adopt Blockchain Food Traceability Technology towards Organic Food Products

Establishing a blockchain food traceability system (BFTS) is increasingly important and urgent to resolve the contradiction between consumers’ intention regarding safe food selections and the spread of polluted foods. Using the advantages of blockchain, such as immutability, decentralization, openness, and anonymity, we can build trusted food traceability systems based on these important characteristics. With reliable information, traceability from production to sales can effectively improve food safety. In this research, multiple models, namely, the information success model (ISS) and the Theory of Planned Behavior (TPB) are formed into a conceptual integrated framework to study the intentions’ influenced factors of BFTS technology for Chinese consumers to help ensure food safety and the quality of Chinese organic food products. A face-to-face questionnaire survey with 300 valid responses was analyzed by Partial Least Square from the Chinese consumers focusing on the organic food products. This study found that the attitude and perceived behavioral control qualities significantly and positively affect the usage intention in adopting BFTS, while the subjective norms are positively but not significantly correlation with the usage intention in using BFTS. The above results will inform suggestions for productors and academics along with implications to promote BFTS’ usage intention.

Developing a Research Model for Mobile Wallet Adoption and Usage

The scope of the mobile wallet in a ‘Cashless India’, whose utility has been spurred by the exponentially growing smartphone technology, is a contemporary topic of deliberation. The reach of mobile wallets gets broader each day with the entry of new stakeholders into the scenario, making mobile wallets indispensible for meeting daily needs. Given the COVID-19 pandemic situation, increased reliance on mobile wallets, and its acceptability among the public and other associated e-services, researchers and service providers are eager to explore its adoption as well as its continued usage. This paper theoretically examines factors influencing behavioural intention and actual usage of mobile wallets through various technology adoption models and behavioural studies. Based on an extensive review of the literature, this paper attempts to draw a comprehensive conceptualization of mobile wallet adoption and actual use by exploring the influence of various key factors. This proposed model could successfully present the case of mobile wallet adoption and usage, as well as offer the possibility of deriving important managerial implications concerning effective marketing techniques.

Factors Affecting the Behavioral Intention to Adopt Mobile Payment: An Empirical Study in Taiwan

The convenience feature of mobile payment has replaced interactions with physical money and reduced transaction time, which better meets the demand of modern people for convenience in life. As mobile payments play an important role in mobile business, understanding the factors attracting consumers to mobile payment will bring mobile businesses more opportunities for development, and further significantly improve the output value of mobile businesses. This study discusses how to further influence consumer behavioral intention in Taiwan, as based on the main theoretical framework of the Extend Unified Theory of Acceptance and Use of Technology (UTAUT2) and Diffusion of Innovation (DOI). In this study, data analysis is implemented by Partial Least Squares (PLS) for the purpose of verifying the research model and hypotheses. The research results show that social influence, facilitating conditions, hedonic motivation, compatibility, innovation, relative advantage, and observability have positive influence on consumer intention to use mobile payment.