User experience and personal innovativeness: An empirical study on the Enterprise Resource Planning systems

Extending UTAUT2 with knowledge to test Chinese consumers' adoption of imported spirits flash delivery applications

Despite the rapid growth in sales of imported spirits in the Chinese market, consumers are struggling to easily buy high-quality imported spirits with favorable price. The imported spirits flash delivery applications are proposed to provide Chinese consumers with high-quality services delivered within a few hours. This study extends UTUAT2 with knowledge, risk and innovativeness to identify factors influencing Chinese consumers' use of flash delivery services for imported spirits. With the help of service providers, 315 valid questionnaires were collected and an empirical study was carried out. Findings suggest that social influence, habit, innovativeness and knowledge all have significant effects on usage. In particular, knowledge has significant moderating effects on relationships between social influence, habit, innovativeness and usage. This research is supposed to help imported spirits flash delivery providers to further expand the market, and will be of great help to the investment decisions of multinational spirits manufacturers in China.

Supportive Leadership and Post-Adoption Use of MOOCs

Educational institutions face significant challenges in extracting interest from their investments in massive open online courses (MOOCs). This study examined the impact of supportive leadership style on university employees' continued use of MOOCs and assessed the mediating role of their innovative work behavior. It uses a multi-theory perspective as opposed to the majority of past studies that use singular theoretical perspectives and extends the information system continuance (ISC) model with the leadership concept. Researchers collected multi-source dyadic data for this cross-sectional study from 632 employees and 316 supervisors from 19 Chinese universities. Data were analyzed using structural equation modeling with partial least squares through SmartPLS 3.2.9. Results indicate supportive leadership influences employees' innovative behavior, which mediates between supportive leadership and employees' satisfaction, perceived usefulness, and intention to continue using MOOCs.

Mobile apps use for wellness and fitness and university students’ subjective wellbeing

Subjective wellbeing among mobile application users attracted researchers’ interest in recent years due to its prevalent role in enhancing everyday life, particularly during the recent coronavirus pandemic (COVID-19). While previous work has primarily focused on users’ intention to adopt mobile apps for wellness and fitness (MAWF) purposes, scarce attention has been paid to the post-adoption impact of these apps on users’ subjective wellbeing. This study empirically integrates ‘technology readiness’ and ‘technology acceptance’ models (TRAM) to predict subjective wellbeing among MAWF users. It also critically assesses the strength of the mediating effects on the link between technology readiness and subjective wellbeing. Data analysis of 694 actual users of MAWF by means of SEM-PLS approach proves the robust power of the TRAM model in predicting subjective wellbeing. In addition to their mediating effects, technology acceptance constructs tend to be more influenced by positive dimensions (i.e., optimism and innovativeness) than that of negative dimensions (i.e., insecurity and discomfort) of technology readiness. This study is one of the first attempts to predict subjective wellbeing among actual users of MAWF. The study also delineates a broad spectrum of implications that enrich existing research and better inform decision makers in mobile health field.

The impact of information technology culture and personal innovativeness in information technology on digital entrepreneurship success

Purpose

Very little or no study has explored the predictors of behaviour and traits that determine digital entrepreneurship (DE) success. In response, the purpose of this paper is to present a research model that takes information technology (IT) culture as a theoretical lens and personal innovativeness and experience in IT projects as theoretical constructs to predict behaviour and traits that explain DE success.

Design/methodology/approach

Based on the literature review, the authors propose hypotheses and a research model. The authors tested the model using structural equation modelling (SEM), by surveying a sample of digital entrepreneurs operating in the Yabacon Valley, Lagos, Nigeria.

Findings

The results indicate that IT culture is an essential predictor of achieving DE success. The results also suggest that an entrepreneur's innovativeness in IT and experience in IT projects have significant negative and positive moderating effects on the relationship between IT culture and achieving DE success.

Research limitations/implications

This paper taps into a new setting – DE context – by exploring the moderation effects of an entrepreneur's innovativeness in IT and experience in IT projects on the link between their IT culture and achieving a successful DE outcome.

Practical implications

This model offers managers an understanding of how IT culture and personal innovativeness and experience in IT work together to achieve DE success. Meanwhile, it sheds some light on managers to treat individuals with different levels of experience differently.

Originality/value

The authors theorise IT culture, personal innovativeness and experience in IT and show their effects on DE success, thus making an essential contribution to the information systems (ISs) and entrepreneurship research and practice. Moreover, the authors provide a novel methodology to conceptualise IT culture as a second-order hierarchical reflective construct by giving evidence that partial least squares (PLS) path modelling can assess a hierarchical model with moderating effects. This study answers scholars' call to construct more accurate explanations of innovation outcomes in an increasingly digital world.

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

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

Switching intention to crypto-currency market: Factors predisposing some individuals to risky investment

We investigate factors affecting individual investors’ switching intention from traditional financial market to crypto-currency financial market. By sampling factors of individual investors related with crypto-currency (CC), the study applies structural equation modeling method (SEM) to investigate their effects on switching intention by integrating PPM and Reinforcement Sensitivity theories (RST) to form a pulling, pushing and mooring effects model. The investigation indicates that crypto-currency market can be regarded as a kind of beneficial supplement of tradition investment market for those individual investors who are with high innovativeness, reward sensitivity, knowledge and perceived risk. This study proves that the individual investors are not only attracted by significant expected return from crypto-currency but also relevant knowledge and risks disclosed by crypto-currency market regulators and distributors. The findings reinforce major roles for both market regulators and individual investors in considering and providing insights for future policy, management and investigations.

Evaluation and Classification of Mobile Financial Services Sustainability Using Structural Equation Modeling and Multiple Criteria Decision-Making Methods

Despite the fast emergent of smartphones in day-to-day activity, the sustainable development of mobile financial services (MFS) remains low partially due to online consumer’s trust and perceived risk. This research broadens the trust and the perceived risk at the multi-dimensional for understanding and prioritizing alternatives of MFS decision. A combined methodology; structural equation modeling (SEM) with two multiple criteria decision-making (MCDM) methods such as a technique for order of preference by similarity to ideal solution (TOPSIS) and analytic hierarchy process (AHP) were applied for data analysis. The two steps SEM-TOPSIS techniques were adopted through a two-types survey on datasets consisting of 538 MFS users, and 74 both experienced MFS users and experts in Togo. The SEM is used for causal relationships and assigning weights for the TOPSIS input. TOPSIS was applied for providing MFS alternative classification, in which the results were compared with prior research using the SEM-AHP technique on the given population. The results via SEM revealed particularly strong support for the dispositional trust and perceived privacy risk. Trust has a negative relationship with perceived risk. Except for perceived time risk, all the antecedents of perceived risk and trust validated the proposed relationship. The findings of TOPSIS uncovered that mobile money transfer (MMT) remains the core application used, followed by mobile payment (MP) and mobile banking (MB) and, therefore, consistent with AHP. However, the TOPSIS technique is better suited to the problem of MFS selection for this study field. This research offers a novel and practical modeling and classification concept for researchers, companies’ managers, and experts in the areas of information technology. The implications, limitations, and future research are provided.

An Exploration and Confirmation of the Factors Influencing Adoption of IoT-Based Wearable Fitness Trackers

In recent years, IoT (Internet of Things)-based smart devices have penetrated a wide range of markets, including connected health, smart home, and wearable devices. Among the IoT-based smart devices, wearable fitness trackers are the most widely diffused and adopted IoT based devices. Such devices can monitor or track the physical activity of the person wearing them. Although society has benefitted from the conveniences provided by IoT-based wearable fitness trackers, few studies have explored the factors influencing the adoption of such technology. Furthermore, one of the most prevalent issues nowadays is the large attrition rate of consumers no longer wearing their device. Consequently, this article aims to define an analytic framework that can be used to explore the factors that influence the adoption of IoT-based wearable fitness trackers. In this article, the constructs for evaluating these factors will be explored by reviewing extant studies and theories. Then, these constructs are further evaluated based on experts' consensus using the modified Delphi method. Based on the opinions of experts, the analytic framework for deriving an influence relationship map (IRM) is derived using the decision-making trial and evaluation laboratory (DEMATEL). Finally, based on the IRM, the behaviors adopted by mass customers toward IoT-based wearable fitness trackers are confirmed using the partial least squares (PLS) structural equation model (SEM) approach. The proposed analytic framework that integrates the DEMATEL and PLS-SEM was verified as being a feasible research area by empirical validation that was based on opinions provided by both Taiwanese experts and mass customers. The proposed analytic method can be used in future studies of technology marketing and consumer behaviors.

What drives social integration in the domain of social network sites?

Purpose

– The purpose of this paper is twofold. First, the study aims to investigate the effects of personal innovativeness and familiarity on social integration in the domain of social network site (SNS) innovation. Second, the study seeks to examine the influences of satisfaction and trust on social integration.

Design/methodology/approach

– Structural equation modelling is proposed to assess the relationships between the constructs, along with the predictive power of the model.

Findings

– The results demonstrate that increasing satisfaction, trust, and familiarity and assisting members’ personal innovativeness are important initiatives that promote social integration, reduce competition between my SNS and others, and consequently, inhibit opportunistic behaviour.

Research limitations/implications

– The model does not include all the relevant variables. The sample is not random and thus it is not necessarily representative of the population.

Practical implications

– Managers must take familiarity and innovativeness into account to customise their social strategies in order to ensure enduring enthusiasm for SNSs. Likewise, fostering members’ satisfaction through more gratifying and easier interactions is an effective strategy to promote social integration. Furthermore, SNSs should prioritise their initiatives for enhancing perceived control by making clear rules and management procedures available, as well as the required legal aspects and seals of approval that will increase levels of trust.

Originality/value

– A review of the literature reveals that very few studies analyse the effects of personal differences and relationship quality on social integration. This work therefore improves the explanatory power of existing theoretical frameworks.