Age, gender and income: do they really moderate online shopping behaviour?

Modelling of online shopping behavior in the Czech online environment

The online environment has its own specifics, which shape the specific behavior of all market subjects, both customers and companies that trade electronically. The aim of the paper is to create, quantify and verify a conceptual comprehensive model of relationships between determinants that influence consumers when shopping online. The impetus for the conducted research was the discovery of the non-existence of a comprehensive model of online shopping behavior that reflects the specifics of the online environment. The main research method is the method of online questioning in the form of a questionnaire survey among a selected group of Czech respondents (n = 926) shopping online with the aim of evaluating the determinants of online shopping behavior. The results of the questionnaire survey are subsequently used to build a comprehensive model of online shopping behavior, which was statistically compiled and verified using the PLS-SEM method, which, based on statistical data, estimates the size and quality of the links between the measured (manifest) and assumed unmeasured (latent) variables. The results show that the selected factors (31 factors) explain up to 82.53% of the variability of the total variance. The results of the correlation analysis of the factors confirmed that the defined factors are not mutually dependent and that in the comprehensive model the factors are not only identified but also statistically significant. The results also confirmed that the correlation of e.g. psychological factors are stronger than dependence on other investigated factors in the comprehensive model of online shopping behavior. The research clearly showed that the key factors for customers when shopping online are Security and risk elimination (SE), together with the Online distribution and logistics (OD) and Online payments (OP). Impulsive online shopping was identified by customers as the least important factor. The validated model provides a comprehensive explanation of the current phenomenon of online shopping that integrates and extends previous studies identifying behavioral models of online shopping behavior.

Exploring the determinants of online health service usage intentions under the threat of air pollution

Introduction

The rapid evolution of online health services (OHS) has significantly improved healthcare accessibility. However, the impact of air pollution on individuals' willingness to engage with OHS remains underexplored in the existing literature. This study addresses this gap by investigating how air pollution threats influence the intention to use OHS, grounded in Protection Motivation Theory (PMT) and Rational Choice Theory (RCT).

Methods

Using cross-sectional survey data, a theoretical model was developed and tested to examine the relationships between threat appraisal, coping appraisal, perceived benefits, perceived costs, and OHS usage intentions.

Results

The findings indicate that threat appraisal, coping appraisal, and perceived benefits positively affect the intention to use OHS, while perceived costs negatively impact usage intention. Additionally, age significantly moderates the relationship between coping appraisal and the intention to use OHS.

Discussion

This study extends the application of PMT and RCT in the context of OHS. It provides valuable insights into the factors influencing users' intentions to utilize these services, with implications for improving OHS adoption in environments affected by air pollution.

Investigating the acceptance intentions of online shopping assistants in E-commerce interactions: Mediating role of trust and effects of consumer demographics

Online shopping has various advantages, such as convenience, easy access to information, a greater variety of products or services, discounts, and lower prices. However, the absence of salespeople's personalized assistance decreases the online customer experience. Business-to-consumer e-commerce companies are increasingly implementing online shopping assistants (OSAs), interactive and automated tools used to assist customers without salespeople's assistance. However, no comprehensive model of OSA acceptance in e-commerce exists, including constructs from multiple information system disciplines, sociopsychology, and information security. This study aims to fill these gaps by empirically investigating consumers' intention to accept OSAs from a functional, social, relational, and security perspective. It identifies OSA acceptance factors in e-commerce through an extensive literature review and expert opinion. A research model is proposed after identifying structural relationships among the study's variables from the literature. The study employs partial least squares-structural equation modeling (PLS-SEM) to validate the proposed model empirically. The results indicate that anthropomorphism, attitude, ease of use, enjoyment, privacy, trust, and usefulness are crucial determinants of acceptance variables. There are significant moderating effects of respondents' gender and education on OSA acceptance. The study's results have substantial implications for academia, extending and validating the Technology Acceptance Model (TAM) for OSA acceptance in e-commerce. The study will help e-commerce marketers develop optimal adoption strategies when implementing OSAs on social media platforms.

Customer Behavioral Trends in Online Grocery Shopping During COVID-19

The evolution of online shopping started when big players like Amazon began selling all types of merchandise. Customers understood the ease of shopping online, so the trend grew even stronger. It is therefore essential to conduct a study of online shopping usage and the perception of customers during COVID-19, especially in the grocery sector. In this study, approximately 28 respondents from 50 specifically targeted groups were surveyed, and data collection was undertaken through a structured questionnaire. The regression method was conducted to analyze the collected data. Additionally, 5 interviews were conducted to validate and support the findings. Customers definitely preferred online grocery shopping (OGS) services during COVID-19 due to safety, convenience, and government restrictions. The influential factors were very important in this case, like delivery times, good discounts, and the quality of products. Secondly, OGS services were more stable and alert during the pandemic situation, following the government's rules and restrictions. Customers were extremely satisfied with the safety precautions during COVID-19, the assistance provided through helplines for support, and the increased customer reach to make groceries as accessible as other reputable online departments.

A moderated mediation mechanism underlying the impact of website telepresence on purchase intention - Evidence from Chinese female college student customers

Telepresence in e-commerce, the feeling of resembling shopping in a physical store, plays a critical role in determining online purchase intention. However, the cognitive mechanism and boundary conditions about its effect still need further investigation. The current study construed flow experience and socioeconomic status as important variables and developed a moderated mediation model for their roles in the effect of telepresence. The model was supported by our study where a group of Chinese female college students participated in simulated online apparel shopping and completes relevant questionnaire surveys. The results show that: (1) website telepresence predicts positively the purchase intention of females, (2) flow experience mediates the impact of website telepresence on purchase intention, and (3) the relationship between website telepresence and flow experience could be moderated by socioeconomic status, namely, females with higher socioeconomic status demonstrate stronger mediation of flow experience. These findings can help researchers and online retailers understand the flow concept in e-commerce and formulate marketing strategies to retain consumers with different socioeconomic statuses.

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.

Consumers’ Change in Trust and Security after a Personal Data Breach in Online Shopping

This research is dedicated to one of the significant problems connected with purchasing online: consumers’ personal data security. The purpose of the paper is to present the results of a study of an incident of a personal data breach from the Morele.net online store that occurred in Poland. The current gap in the literature is the lack of research done among consumers who suffered from a data breach. Data from 826 people affected by this incident were collected and used for drawing conclusions regarding the changes that took place after the incident. The data obtained are both qualitative and quantitative. The data set was analyzed using the IBM SPSS software package. The evolution in consumers’ trust towards the store was studied and results reveal that it has strongly decreased, although this did not influence consumers’ attitudes towards online shopping in general. The main finding of the research is that one out of three affected consumers will discontinue online shopping on Morele.net; however, they will not tend to change their online shopping behavior in general—they will just purchase in other online stores. Moreover, even though consumers were disappointed, and many were considering no longer purchasing from this site, the store still had significant opportunities to regain consumers’ trust and save its competitiveness in the market. The results suggest several improvements that should help online stores stay secure and trustworthy for their consumers. It was revealed that consumers had not previously been greatly concerned about their data being protected by the store; this incident, however, had changed this fact, and now consumers had become much more conscious about providing any of their data to any website.

Online shopping adoption during COVID-19 and social isolation: Extending the UTAUT model with herd behavior

The COVID-19 pandemic has created a new reality for consumers all around the globe. To cope, users of digital technologies have faced the necessity of adopting and using specific technologies practically overnight. They are doing this under the condition of social isolation, all while facing the fear of catching the disease. The purpose of the paper is to study the way unexpected circumstances cause disruptions in existing theoretical models and their implications for the post-COVID-19 era. Therefore, the paper examines the unified theory of acceptance and use of technology (UTAUT) model under the circumstances of the COVID-19 pandemic and social isolation, and it identifies herd behavior as a possible new mechanism affecting behavioral intention under these unique decision-making circumstances. Behavioral intention toward online shopping was analyzed using data from 420 individuals aged 60 and older who present an increasingly important potential market for electronic commerce and who are particularly affected by COVID-19. The main results show that performance expectancy still has the most important influence on behavioral intention, whereas the impact of social influence was not supported under these conditions. Rather, herd behavior was identified as particularly influential for behavioral intention. Based on the study results, the option to reconsider the social influence factor in the UTAUT model and its possible complementary mechanisms are discussed.

Why do people shop online? A comprehensive framework of consumers’ online shopping intentions and behaviors

Purpose

Consumer adoption of online shopping continues to increase each year. At the same time, online retailers face intense competition and few are profitable. This suggests that businesses and researchers still have much to learn regarding key antecedents of online shopping adoption and success. Based on extensive past research that has focused on the importance of various online shopping antecedents, this work seeks to provide an integrative, comprehensive nomological network.

Design/methodology/approach

The authors employ a mixed-methods approach to develop a comprehensive model of consumers online shopping behavior. To that end, in addition to a literature review, qualitative data are collected to identify a broad array of possible antecedents. Then, using a longitudinal survey, the model of consumer shopping intentions and behaviors is validated among 9,992 consumers.

Findings

The authors identified antecedents to online shopping related to culture, demographics, economics, technology and personal psychology. Our quantitative analysis showed that the main drivers of online shopping were congruence, impulse buying behavior, value consciousness, risk, local shopping, shopping enjoyment, and browsing enjoyment.

Originality/value

The validated model provides a rich explanation of the phenomenon of online shopping that integrates and extends prior work by incorporating new antecedents.

Modeling household online shopping demand in the U.S.: a machine learning approach and comparative investigation between 2009 and 2017

Despite the rapid growth of online shopping and research interest in the relationship between online and in-store shopping, national-level modeling and investigation of the demand for online shopping with a prediction focus remain limited in the literature. This paper differs from prior work and leverages two recent releases of the U.S. National Household Travel Survey (NHTS) data for 2009 and 2017 to develop machine learning (ML) models, specifically gradient boosting machine (GBM), for predicting household-level online shopping purchases. The NHTS data allow for not only conducting nationwide investigation but also at the level of households, which is more appropriate than at the individual level given the connected consumption and shopping needs of members in a household. We follow a systematic procedure for model development including employing Recursive Feature Elimination algorithm to select input variables (features) in order to reduce the risk of model overfitting and increase model explainability. Among several ML models, GBM is found to yield the best prediction accuracy. Extensive post-modeling investigation is conducted in a comparative manner between 2009 and 2017, including quantifying the importance of each input variable in predicting online shopping demand, and characterizing value-dependent relationships between demand and the input variables. In doing so, two latest advances in machine learning techniques, namely Shapley value-based feature importance and Accumulated Local Effects plots, are adopted to overcome inherent drawbacks of the popular techniques in current ML modeling. The modeling and investigation are performed at the national level, with a number of findings obtained. The models developed and insights gained can be used for online shopping-related freight demand generation and may also be considered for evaluating the potential impact of relevant policies on online shopping demand.

Factors affecting customer intention to use online food delivery services before and during the COVID-19 pandemic

With the emerging popularity of online food delivery (OFD) services, this research examined predictors affecting customer intention to use OFD services amid the Coronavirus disease (COVID-19) pandemic. Specifically, Study 1 examined the moderating effect of the pandemic on the relationship between six predictors (perceived usefulness, perceived ease of use, price saving benefit, time saving benefit, food safety risk perception, and trust) and OFD usage intention, and Study 2 extended the model by adding customer perceptions of COVID-19 (perceived severity and vulnerability) during the pandemic. Study 1 showed that all of the predictors except food safety risk perception significantly affected OFD usage intention, but no moderation effect of COVID-19 was found. In Study 2, while perceived severity and vulnerability had no significant impact on OFD usage intention, the altered effects of socio-demographic variables during the COVID-19 pandemic were found. Theoretical and managerial implications are provided.

The Antecedents and Consequences of Rapport between Customers and Salespersons in the Tourism Industry

This study examined the antecedents and consequences of rapport between customers and salespersons in the context of duty-free shops. Specifically, this study proposed six sub-dimensions of service-dominant orientation (i.e., relational, ethical, individuated, empowered, concerted, and developmental interactions). These dimensions have a positive influence on rapport. In addition, rapport is hypothesized to aid in the formation of customer satisfaction and brand preference, which in turn positively affects word-of-mouth communications. Data were collected from 649 Chinese shoppers who have purchased a product in a Korean duty-free shop. In addition, this study employed confirmatory factor analysis to check the adequacy of the measurement items and structural equation modeling to test 11 hypotheses. Data analysis results indicated that five sub-dimensions of service-dominant orientation, excluding individuated interaction, play an important role in the formation of rapport. Furthermore, rapport has a positive effect on customer satisfaction and brand preference, which in turn positively affects word-of-mouth communications. The findings of this study offer valuable insights for managers of duty-free stores into the most effective methods for managing their operations and providing an appropriate blend of products. Furthermore, this paper contributes to theoretical understanding in this area by improving the acceptability of a commonly believed shopper behavior model.

Determinants of research output submission in institutional repositories by faculty members in Nigerian universities

Purpose

This paper aims to determine and analyze the rate of content submission by lecturers in relation to type of university, discipline, academic qualification, rank and teaching experience and identified the determinants of research output submission by faculty members in Nigerian varsities.

Design/methodology/approach

The survey was conducted in six universities with functional institutional repositories in Southern Nigeria. Data collated through questionnaire from the university lecturers were analyzed using frequency distribution, percentages and regression analysis.

Findings

Results showed that submission of research output was higher for lecturers in Social Sciences than for those in the Sciences; the highest among those with doctorate degree, senior lecturers and those with 6–10 years of teaching experience. The rank of faculty members and the type of university were significant determinants of research output submission.

Research limitations/implications

The survey was limited to universities in Southern Nigeria with functional institutional repositories. There should be further investigations on same study in universities with functional institutional repositories in other regions in Nigeria.

Practical implications

Increased submission rate by faculty members will sustain the institutional repositories.

Social implications

Faculty members get in contact, make friends and engage in collaborative research.

Originality/value

This report contributes to the global knowledge and communication’s field through the provision of empirical evidence on the determinants of content submission in open access institutional repositories.

Purchase intention and purchase behavior online: A cross-cultural approach

This article aims to explore the key factors on e-commerce adoption from elements of social psychology, such as attitude, subjective norms, perceived behavioral control, ease of use and perceived usefulness, introducing the study of non-traditional elements like buying impulse, compatibility, and self-efficacy in online stores, contrasting relationships in a cross-cultural environment. The proposed model is tested from quantitative research with a sample of 584 online consumers in Colombia and Spain. The following statistical analyses were conducted: CFA, structural equations, measurement instrument invariance, and multi-group analysis with EQS 6.3 software. The study reveals that self-efficacy in online stores is a key factor in adopting electronic commerce above the cultures studied. Also, there is significant evidence that proves the moderating effect of national culture on several relationships of the model proposed. Results highlight the importance of national culture to understand impulsive buying behavior. The article presents several considerations toward the main elements to generate online purchase intention among consumers in an emerging country and finds substantial differences with consumers in a developed country. Practical implications are made for companies to adopt online channels and expand internationally.

Home and community care for older people in urban China: Receipt of services and sources of payment

This study investigates the characteristics of Chinese older people receiving home and community care and the factors associated with the sources of payment for care services. The data come from the Social Survey of Older People in Urban China, which collected information from a random sample of 3,247 older people aged 60 and over in 10 large cities in different regions of China in 2017. Anderson's behavioural model of care utilisation is used to guide the analyses. The study identifies four striking features of the Chinese social care system. First, although disabilities are a significant predictor of receiving home and community care, a large proportion of care recipients do not have disabilities. Second, perceived proximity of care is the most important predictor, which implies high elasticity of demand for care services with regard to perceived distance and the great geographical inequality of care resources in the cities. Third, the government policies support the use of the internet to facilitate care access, but the enabling effect of the internet among older people is limited. Finally, sources of payment for care differ significantly according to people's age, living arrangements, disability and level of education. We argue that the government should consider shifting the focus of financial support from service providers to care recipients in the future.

Online shopping in treatment-seeking patients with buying-shopping disorder

BACKGROUND AND AIMS

With e-commerce becoming an important shopping activity, it has been argued that traditional buying-shopping disorder (BSD) migrates to the online retail market resulting in BSD predominantly online. The aims of the current study were to investigate how many patients with BSD report symptoms of online BSD, and to determine whether symptoms of probable online BSD are related to sociodemographic variables, anxiety, depression, and a higher severity of general BSD.

METHOD

A post hoc analysis of pooled data collected within previous studies (n = 122 treatment-seeking patients with BSD; age Mdn = 42.50, range 20-68 years; 76% women) was conducted. Assessment included the short version of the Internet Addiction Test modified for online shopping sites (s-IATshop), the Pathological Buying Screener (PBS) as an instrument assessing BSD in general, regardless of the buying or shopping environment, and measures for anxiety and depression.

RESULTS

33.6% of the sample met the s-IAT threshold for probable online BSD. Higher s-IAT scores were related to lower age and to a higher severity of anxiety, depression and general BSD. A hierarchical regression analysis with general BSD (PBS score) as dependent variable and partnership status, symptoms of anxiety, depression and online BSD (s-IAT-shop) as predictors indicated a significant positive association of probable online BSD with the severity of general BSD above and beyond anxiety and depression.

CONCLUSION

The findings may encourage future studies addressing phenomenological characteristics, underlying features, associated comorbidity, and clinical relevance of online BSD.

Engaging consumers in multichannel online retail environment

Purpose

With India becoming world’s second largest user of smartphones (Ming, 2017) and with more users adopting mobile devices for online shopping, Indian online retailers now have to manage mobile channel in addition to existing traditional channel (of computers). Hence, the purpose of this study is to investigate the mapping of product characteristics with individual channel capabilities and its effect on online consumer behaviour, so that e-tailers can create enhanced online shopping experience for consumers.

Design/methodology/approach

A comprehensive research model is developed on the basis of the knowledge gained from multichannel retailing and e-commerce literature. Then, the model is empirically tested, with primary data collected from 344 customers, using structural equation modelling. The data are collected from customers across two product categories: electronics and fashion.

Findings

The results reveal that perceived usefulness, perceived risk and perceived self-efficacy are important drivers of online consumer behaviour for continued usage. The multi-group analysis confirms the moderation influence of platform type for some relationships across electronics and fashion.

Practical implications

The findings underline the importance of multichannel complementarity across electronics and fashion. The preference of mobile devices for fashion and traditional devices such as computers for electronics provides valuable insights for online retailers towards management of multichannel e-commerce ecosystem.

Originality/value

In Indian context, this is the first empirical research on online multichannel retail setting, studying the impact of diverse channel formats on different product categories. The study’s findings give empirical basis to online retailers to look out for right product–channel fit strategy for engaging consumers in the long run.

The perception of e-servicescape and its influence on perceived e-shopping value and customer loyalty

Purpose

The popularity of online shopping has grown in the recent years, enhancing the interest in identifying the factors that influence shoppers’ loyalty. The purpose of this paper is to investigate, through aesthetic appeal, layout and functionality, and financial security, the impact of customers’ perceptions of the e-servicescape in online shopping on perceived e-shopping value and customer loyalty defined as a two-component construct (attitudinal loyalty and behavioural loyalty), following the sequence of the S–O–R framework.

Design/methodology/approach

Data were gathered using an Internet survey in which 221 active online shoppers participated who had at least one online purchase in the past six months. The research model was analysed using the partial least squares approach to analyse structural equations (SEM).

Findings

Based upon empirical evidence of a web-based survey of online shoppers, this study shows that consumers’ interpretation of e-servicescape exerts a positive influence over perceived e-shopping value and loyalty. Specifically, the study finds that layout and functionality and financial security, as the salient attributes of the e-servicescape dimension, set the point of perceived e-shopping value which affects attitudinal loyalty.

Practical implications

The authors expose several practical implications how marketing management could use the dimensions of e-servicescape perceived e-shopping value. Managers are advised to incorporate the dimensions of the e-servicescape to build perceived e-shopping value and loyalty. Online shops need to invest in particular in layout and functionality and financial security, dimensions that had a stronger effect on perceived e-shopping value in order to achieve costumers’ loyalty in a fashion product context.

Originality/value

The transition from physical service locations to virtual service processes has increased the research interest of e-servicescape. This study analyses it through its aesthetic appeal, layout and functionality, and financial security connecting them with the constructs of perceived e-shopping value and customer loyalty in the application for fashion products. This work emphasises the connection between servicescape attributes in creating perceived value which affects attitudinal and behavioural loyalty. In this way, the e-servicescape is seen as stimuli, the perceived e-shopping value represents the organism and the loyalty the response of the sequence of the S–O–R framework. This research provides insight into the new effects of each dimension of e-servicescape on perceived e-shopping value and the two dimensions of loyalty, thus improving the existing knowledge in the field of servicescape and online shopping customer behaviour.

Evolving segments of online clothing buyers: an emerging market study

Purpose

While marketers want to drive higher repurchases for better business sustainability, repeat shopping experiences may change customer perceptions of the online channel, resulting in the emergence of new segment typologies. Therefore, the purpose of this paper is to explore the segmentation of online clothing shoppers using a repeat online clothing shopper base. Further, it analyses segment positions in a perceptual space to derive relevant positioning insights for the various segments.

Design/methodology/approach

Segmentation is done using dual bases of e-lifestyle and website quality factors for which the scales are derived from literature and then adapted and validated using a two-phase process across two samples of 271 and 644 experienced shoppers, respectively, in India. Positions of the segments are explored using the discriminant analysis-based perceptual mapping technique.

Findings

Three segments are found, namely disengaged averse online shoppers, interactive convenience seekers and adept online shopping optimists with the latter two having a higher propensity to purchase clothes online. Perceptual mapping of the segment positions reveals dimensions, which can be used for appropriate positioning.

Research limitations/implications

The research methodology may be replicated for other products and country contexts, and additional factors may be explored for further insights.

Practical implications

The study reveals insights on the evolving nature of segments as shoppers gain experience of online shopping for clothes and highlights the varied reasons for the growing acceptability of the online channel. The findings reveal key targeting and positioning strategies for e-marketers.

Originality/value

This is one of the first studies of its kind in India, which explores the segmentation of repeat online clothing shoppers in India using dual bases. Another distinctive feature of the study is its use of the perceptual mapping technique to draw inferences about factors that differentiate multi-segment buying behavior.

Moderating effects of age, income and internet usage on Online Brand Community (OBC)-induced purchase intention

Purpose

The purpose of this paper is to understand the customer attitude and perception towards the online brand communities (OBCs) and purchase intention (PI). The paper also analyses the moderating effects of age, income and internet usage on the relationship among the proposed variables.

Design/methodology/approach

The study employed a multi-analytical approach through the use of structural equation modelling and neural networks to test the proposed framework. The information was obtained from 236 respondents using a web-based questionnaire survey. Further, moderation analysis, with age, annual family income and weekly internet usage as moderating variables, was conducted on the structural model.

Findings

The results of the analysis demonstrate that the multi-group moderating effect for different groups within age, income and internet usage have significant differences for the relationships between the independent variables content perception, perceived usefulness, critical mass, brand attachment and attitude towards brand and the dependent variable, PI.

Originality/value

The study is one of its kind to understand and analyse the role of moderating variables (age, income and internet usage) on OBC-induced PI.

Perception of corruption in e-government services post-launch of “Digital India”: role of demographic variables

Purpose

The purpose of this paper is to underline the role of demographic variables as far as the perception of corruption among the Indian respondents is concerned.

Design/methodology/approach

Hierarchical regression analysis is conducted to ascertain the role of demographic variables in line with the study’s objectives.

Findings

Gender is a demographic factor that influences the perception of corruption by the respondents. Other demographic factors including education, marital status, professional status and age do not have any influence on the user perception of corruption in e-government services. Implicitly, there are differences in the manner in which men and women perceive the prevalence of corruption in India. Therefore, males perceive that corruption has decreased in e-government services post-launch of “Digital India” initiative and women perceive the opposite.

Research limitations/implications

On the one hand, the study holds significance, in that no empirical investigation has been conducted which seeks to underline the impact of the “Digital India” initiatives on the citizen’s perception of corruption in public services. On the other hand, the present research is limited in the sense that only demographic variables are being probed in the present study with a small sample.

Originality/value

Studies in developing countries have remained few and far between despite the growing concern for existence of corruption in government services. The present study seeks to fill the gap by underlining the role of demographic variables as far as the perception of corruption in public services is concerned in the Indian context.

An empirical investigation of the relationship between e-government development and the digital economy: the case of Asian countries

Purpose

This paper aims to investigate and comprehend the nature of the relationship between e-government development and the digital economy.

Design/methodology/approach

A multidimensional research paradigm is developed on the basis of the technology adoption model and Fountain’s technology enactment theory. The model is empirically examined using a regional study of 20 Asian countries.

Findings

A positive two-way relationship between e-government development and the digital economy has been indicated by the findings. Moreover, along with social, economic, political, technological and demographic factors, certain national cultural characteristics have significant effects on the digital economy and e-government development.

Research limitations/implications

One of the key limitations of the study is that it is based on publicly available secondary data. Therefore, some degree of caution should be kept in mind when making generalisations about the findings of this study.

Originality/value

The contribution of this study is that it provides a more accurate and comprehensive understanding of the dynamic association between e-government development and the digital economy by providing aid to policymakers in understanding the nature of dynamic relationships between the digital economy, government organisations and citizens’ adoption of technologies.

Nudging to prevent the purchase of incompatible digital products online: An experimental study

Ensuring safe and satisfactory online shopping activity, especially among vulnerable consumers such as elderly and less educated citizens, is part of a larger set of consumer policy objectives seeking to strengthen trust in the electronic marketplace. This article contributes to that goal by testing the effectiveness of nudges intended to prevent the purchase of 'incompatible' digital products (i.e., those which cannot be used with the devices owned by consumers or the systems they operate). We ran a computerised lab experiment (n = 626) examining three types of nudges, the effects of age and education, and interaction effects between these variables and the nudges. Results show that emotive warning messages and placing incompatibility information at the checkout page rather than earlier in the purchasing process were effective in reducing the purchase of incompatible goods. Age was also a relevant factor: older participants were more likely to purchase incompatible goods. In addition, there was an interaction effect between all nudges and age: two nudges exacerbated the effect of age, while another mitigated it. These results suggest nudges can be an effective policy tool, confirm a generational gap in online behaviour, and highlight how nudges can moderate the effect of socio-demographic variables.

An Investigation of the Adoption of Online Game Technologies in Indonesia

This study examines influences on an individual's intentions to use online game technologies. Data was collected by the questionnaire from a sample of 895 individuals of age 12 – 26 years in Indonesia. A theoretical model extending the Unified Theory of Acceptance and Use of Technology included causal effects on intentions as well as moderating effects due to the individual's gender, age, and experience. The model was analyzed using structural equation modeling techniques and the results confirmed several findings from previous studies respected especially with the positive effects of enjoyment, ease of use, and the availability of infrastructure on the individual's intentions. New findings showed that gender, age, and experience moderated the effects on the individual's intention due to social influences, feelings of involvement, and perceptions of personal attainments, respectively. Moreover, new findings emerged for differences and similarities in the significant effects in the theoretical model among the groups defined within the scales of gender, age, and experience.

How e-tailing attributes affect perceived quality

Purpose

– The purpose of this paper is to report results from an experimental study in which participants rank e-tailer quality on the basis of descriptions involving five attributes (reputation of retailer, site usability, security, delivery and customer support). The paper further explores how the relative importance of these attributes to perceived e-tailer quality is impacted by customer demographic and behavioral characteristics (such as gender, age, frequency of online purchasing and use of online reviews).

Design/methodology/approach

– Individual-level conjoint models are estimated to determine the relative importance of these five attributes to perceptions of e-tailer quality.

Findings

– The relative importance of these five attributes to perceived e-tailer quality are impacted by customer specific characteristics and online behaviors, namely, age, the frequency of prior online purchasing, the frequency of use of online reviews and the importance attached to the availability of a large number of online product reviews.

Research limitations/implications

– Managerial implications that help e-tailers develop more effective, targeted strategies for enhancing the quality of their websites and increasing customer loyalty are presented.

Originality/value

– The use of conjoint analysis for decomposing overall judgments of e-tailer quality to derive the relative importance of specific e-tailing attributes offers a realistic way to understand how online customers perceive and evaluate e-tailer quality.

Adoption of e-government services

Purpose

– The purpose of this paper is to develop a research model for understanding the relationship between service quality dimensions and demographic variables, and the willingness to use e-government services in Oman. Understanding the key determinants of electronic government (e-government) services is an important issue for enhancing the degree of use of these services by users.

Design/methodology/approach

– The data were collected using Google forms from 248 e-government service users. The hierarchical regression analysis was used to test the research model.

Findings

– The results showed that service quality dimensions, namely, reliability, security, efficiency and responsiveness, were the key determinants that influenced the willingness to use e-government services. In addition to service quality dimensions, two demographic variables, namely, age and education level of respondents, showed a statistically significant relationship with the willingness to use e-government services.

Practical implications

– The findings of this study provide useful insights into the decision-makers of e-government services in Oman and similar emerging economies. At the same time, these findings can also be used by academicians and information systems researchers for further research.

Originality/value

– This study is probably the first attempt to model e-government services on the basis of service quality dimensions and demographic variables in Gulf Cooperation Council countries. Moreover, this study will enrich the existing literature on the adoption of e-government services.

The effect of information overload and disorganisation on intention to purchase online

Purpose

– The purpose of this paper is to develop a research model that examines the effect of information overload and information disorganisation upon customers’ perceived risk and purchase intention online in a single integrative model. In addition the paper investigates whether internet experience moderates these relationships.

Design/methodology/approach

– To achieve the paper's objectives an experiment that involved visiting the ten most visited e-commerce web sites in Spain was conducted. Hypotheses were tested by using structural equation modelling on a data set of 1,396 online shopping customers.

Findings

– The results suggest a positive relationship between information overload and customer purchase intention and that internet experience reinforces this positive effect. Moreover the results confirm that the relationship between information disorganisation and customer purchase intention is not significant and that internet experience does not moderate the relationship. The findings also indicate that perceived risk mediates the relationship between information overload and information disorganisation on customer purchase intention.

Originality/value

– This work contributes to the literature by exploring the phenomenon of information overload and information disorganisation upon customers’ perceived risk and purchase intention in the e-commerce environment as well as the moderating effect of internet experience on these relationships in a single integrative model. The main conclusions of this investigation can be valuable to organisations that implement or intend to implement e-commerce.

A Cross-Cultural Comparison of Electronic Government Adoption in Spain and the USA

Electronic Government (e-government) is growing in popularity across the globe. Given the increasing relevance of electronic services in the public sector, there is a need for a global agreement on a consistent framework for assessing e-government. This study uses a cross-cultural comparison to assess the fundamentals of e-government adoption in the United States (USA) and Spain. In particular, the authors explore the effects of perceived ease of use, perceived usefulness, compatibility and trust on intentions to use e-government services. A survey was administered to citizens in both countries to test the hypotheses derived from adoption literature and Hofstede's dimensions of culture. Results indicate that there are differences in the relationship between compatibility and use intention, with stronger effects in the USA sample. Furthermore, while perceived ease of use significantly impacts intentions for the USA sample, it does not for the Spain sample; and, while trust is not significant in the USA sample, it is for the Spain sample. The implications of these results, mostly consistent with the hypotheses as suggested by the dimensions of culture, are discussed for both research and practice.