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Grounded on the value-based adoption model and innovation diffusion theory, this study examined consumer purchase decisions of mobile Global Positioning System (GPS) navigation apps. In addition, this study also investigated the moderating role that perceived availability of free substitutes (PAFS) plays in the relationship between perceived value and purchase intention. The paper aims to discuss these issues.

Data collected from 219 mobile users were analyzed against the research model using the partial least squares approach.

The results showed that compatibility, relative advantage, perceived enjoyment, perceived cost (positively), and complexity (negatively) influenced these users’ value perceptions and purchase decisions. Furthermore, PAFS significantly weakened the positive relationship between perceived value and purchase intentions.

Based on these findings, the authors provide practical suggestions for mobile app developers to increase mobile app sales. This study also helps advance knowledge of mobile internet marketing.

This study is a pioneering effort in explaining consumer purchase intentions in the context of mobile GPS navigation app.

Virtual reality (VR) offers unprecedented immersion and interactivity in education, and working and learning from home have become the norm during the COVID-19 pandemic. This study empirically investigated the factors affecting the use of a VR online learning system (VROLS).

To explore factors affecting users’ continuance behavioral intentions toward using VROLSs, a research framework was formed comprising factors that constitute benefits (i.e. pull factors) and costs (i.e. push factors); these factors included perceived value, flow and social influence. The data for this study were collected via online survey questionnaires. A total of 307 valid responses were used to examine the hypotheses in the research model, employing structural equation modeling (SEM) techniques.

Perceived value, flow experience and the number of peers using VR primarily affect the decision to adopt a VROLS. The pull factors of spatial presence, entertainment and service compatibility, along with the push factors of complexity and visual fatigue, affect perceived value. Therefore, we conclude that perceived value is a primary factor positively influencing both flow experience and the decision to adopt the service.

This study contributes to a theoretical understanding of factors that explain users’ intention to use VROLSs.

This qualitative study aims to explore the experiences of Taiwan’s community-based long-term care service stations.

Semi-structured interviews were conducted with eight managers selected from stations located in the counties with the highest proportion of elderly people.

The results are as follows: the main services offered by the stations include health promotion activities, congregate meal programs, respite care and making house calls; government subsidies constitute a major proportion of the service stations’ funds, followed by user payments and external donations; the adversities encountered include frequent policy revisions, the dwellers’ reluctance to participate in the activities, manpower shortages and subpar service quality; and the effects of the stations on the community include achieving aging in place, providing more options for life after retirement, mitigating caregivers’ burden, expanding the elderly’s social networks and strengthening their health literacy.

The results of this research can understand the benefits and difficulties of Tier C service centers in Taiwan. Also, the practical experiences provide some suggestions for policies and training. Future studies can focus on establishing systematized training programs and standardizing the service personnel’s competence.

The purpose of this paper is to investigate how different forms of interpersonal conflicts and employees’ psychological empowerment may affect knowledge sharing intentions directly or indirectly via interpersonal trust in the workplace.

Survey data collected from 249 employees of 37 of the top 500 corporations in the manufacturing industry in Taiwan were used for the data analysis. The research model was analyzed using the component-based structural equation modeling technique, namely, the partial least squares (PLS) approach.

The results indicate that both relationship and task conflicts have significant indirect effects on employees’ knowledge sharing intentions via psychological empowerment and trust. Additionally, psychological empowerment significantly influences employees’ knowledge sharing intentions both directly and indirectly via trust.

The primary theoretical implication is an advancement in the understanding of the critical antecedents of and their different effects on employees’ knowledge sharing intentions from the perspectives of conflict management and individual psychological empowerment. Future research may concentrate on investigating the bidirectional interactions among trust, relationship conflicts and task conflicts in different knowledge-sharing contexts.

This study provides practical insights into conflict resolution intended to facilitate psychological empowerment and interpersonal trust that encourage knowledge sharing in the workplace.

To the best of the authors’ knowledge, this study is the first knowledge sharing study that empirically examines how task and relationship conflicts affect employees’ knowledge sharing intentions differently via the mediation of their perceived psychological empowerment and interpersonal trust in one another in the workplace.

This study aims to explore the social networks and network interactions of bed-and-breakfast (B&B) entrepreneurs in rural China. In addition, it evaluates how such network interactions relate to rural resilience.

In-depth interviews were performed in two locations: Ningbo and Dujiangyan, China. Purposive sampling was combined with snowball sampling to select interviewees. The 154 interviews involved 29 B&B owners and relevant social actors. All codes and data were analyzed using the discourse analysis framework.

The B&B owners’ social networks were identified based on strategic goals, revealing a business operation network, business development network and business citizenship network. Challenges in seeking financial support for rural B&Bs during the pandemic were specified along with network interactions. The institutional adaptation approach was used to evaluate network interaction in rural B&B business. It was argued that other networks would react based on primary network members’ goal compatibility and the effectiveness of the primary network in addressing obstacles.

This study indicates that the rural B&B entrepreneurs’ interactions with various networks could influence on business resilience, community resilience as well as rural resilience.

By combining the institutional adaptation typology with social network theory, this study generates a new typology of network interactions for rural B&Bs. The typology helps to explain how and why B&B entrepreneurs make decisions and provides a broader scope of social networks involved in these business operations.

The purpose of this paper is to establish an intelligent framework to generate the data representatives in snapshot simulation in order to construct the online reduced-order model based on the generated data information. It could greatly reduce the computational time in snapshot simulation and accelerate the computational efficiency in the real-time computation of reduced-order modeling.

The snapshot simulation, which generates the data to construct reduced-order models (ROMs), usually is computationally demanding. In order to accelerate the snapshot generation, this paper presents a discrete element interpolaiton method (DEIM)-embedded hybrid simulation approach, in which the entire snapshot simulation is partitioned into multiple intervals of equal length. One of the three models: the full order model (FOM), local ROM, or local ROM-DEIM which represents a hierarchy of model approximations, fidelities and computational costs, will be adopted in each interval.

The outcome of the proposed snapshot simulation is an efficient ROM-DEIM applicable to various online simulations. Compared with the traditional FOM and the hybrid method without DEIM, the proposed method is able to accelerate the snapshot simulation by 54.4%–63.91% and 10.5%–27.85%, respectively. In the online simulation, ROM-DEIM only takes 4.81%–8.56% of the computational time of FOM, while preserving excellent accuracy (with relative error <1%).

1. A DEIM-embedded hybrid snapshot simulation methodology is proposed to accelerate snapshot data generation and reduced-order model (ROM)-DEIM development. 2. The simulation alternates among FOM, ROM and ROM-DEIM to adaptively generate snapshot data of salient subspace representation while minimizing computational load. 3. The DEIM-embedded hybrid snapshot approach demonstrates excellent accuracy (<1% error) and computational efficiency in both online snapshot simulation and online ROM-DEIM verification simulation.

Understanding people’s intentions to be an internet entrepreneur is an important issue for educators, academics and practitioners. The purpose of this paper is to develop and validate a scale to measure internet entrepreneurial self-efficacy.

Based on an analysis of 356 responses, a scale of internet entrepreneurial self-efficacy is validated in accordance with established scale development procedures.

The internet entrepreneurial self-efficacy scale has 16 items under three factors (i.e. leadership, technology utilization and internet marketing and e-commerce). The scale demonstrated adequate convergent validity, discriminant validity and criterion-related validity. Nomological validity was established by the positive correlation between the scale and, respectively, internet entrepreneurship knowledge and entrepreneurial intention.

This study is a pioneering effort to develop and validate a scale to measure internet entrepreneurial self-efficacy. The results of this study are helpful to researchers in building internet entrepreneurship theories and to educators in assessing and promoting individuals’ internet entrepreneurial self-efficacy and behavior.

An optimal control model is built considering the private sector's opportunistic effort diversion and reciprocal effort improvement, while a numerical study is conducted to draw some managerial implications.

In infrastructure PPP projects, private sectors may opportunistically divert part of their effort from the current projects to other projects to allocate their limited human resources. Nevertheless, this effort diversion can be inhibited by dynamic incentives since the private sectors reciprocally exert greater effort into the current projects when receiving the dynamic incentives. This article investigates how the government specifies the output standard that the private sector should meet and offers dynamic incentives to mitigate the private sector's opportunistic effort diversion.

The output standard for the private sector to acquire the dynamic incentives should be specified as the output level corresponding to the private sector's optimal long-run stationary equilibrium (OLSE) effort level, which decreases with its reciprocal preference level but increases with its effort-diverting level. The optimal dynamic incentives comprise an initial incentive and a periodic OLSE incentive, which declines with the reciprocal preference level but improves with the effort-diverting level. Besides, the numerical study reveals that the government should distinguish whether the bidders have high effort-diverting levels and, if so, should focus on their reciprocal preference levels and decline the bidders with low reciprocal preference to avoid utility loss.

This article provides a theoretical model combining opportunistic behavior with reciprocal preference through an optimal control lens, thus embedding the problem of incentive design into a broader socioeconomic framework.

The number of smartphone users has increased with the maturity of mobile networks, which has not only led to a new lifestyle but has also facilitated the development of mobile application services. Smartphones are regarded as essential communication devices. Currently, diverse groups of people are considering using mobile payment services. Thus, the motives for using mobile payment as well as individual motives for continuing usage are of great research interest. The purpose of this paper is to examine the behavioral motivations underlying individual intentions to continue using mobile payment.

To explore the factors affecting the intention to use mobile payment services, this study constructed a theoretical framework based on cost-benefit theory that also considers social influences to form an integrated research model that explains the intentions of individuals to use mobile payment services. Online questionnaires were used to evaluate individuals with experience using mobile payment services. A total of 302 questionnaires were collected. Structural equation modeling was employed to assess the relationships among factors included in the research model.

Perceived value, social norms and social self-image played crucial roles in the intention to use mobile payment services. Furthermore, perceived benefits (relative advantage and service compatibility) and perceived costs (security risks and perceived fees) determined users’ perceived value. Social self-image positively affected users’ perceived value; in the context of a mobile-oriented information system, the ability of a mobile payment service to satisfy a user’s demands with respect to social self-image influenced the user’s perceived value of using such services.

This study contributes to a theoretical understanding of factors that explain users’ intention to use mobile payment services.

Smartphones have become a critical medium by which people remain in contact with family, friends, and colleagues. A variety of factors have contributed to the rapid prevalence of smartphones. The most influential factor is definitely the mobile platform or mobile operating system (OS). The purpose of this paper is to employ a theoretical framework based on an information systems success model and a theory values to examine the factors that affect smartphone users’ switching mobile OSs. Habit is regarded as a moderating variable to construct an integrated research model which helps researchers unveil the puzzle of users’ switching mobile OSs.

The proposed model was empirically evaluated using survey data collected from 424 users on their perceptions of smartphones. A structural equation modeling was used to assess the relationships of the research model.

The results of the study have shown that users consider the perceived switching value and satisfaction arising from their behaviors when deciding whether to switch to another mobile OS. Quality characteristics, including information quality, system quality, and service quality, are the key factors determining people’s perceived switching value and satisfaction. The participants of the study were grouped by degree of habit. The effect on satisfaction was not significant in the high-habit subgroup. Nevertheless, it has been found that the influence of the perceived switching value was stronger in the low-habit subgroup than in the high-habit subgroup.

This study contributes to a theoretical understanding of factors that explain users’ intention to switch mobile OSs.