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Despite the evident and dramatic increase in smartphone usage worldwide, some consumers continue to use traditional mobile phones. The purpose of this paper is to investigate the behavioral intentions of these laggard and non-smartphone users.

This current study examines the effects of consumer demographics, psychographics, and smartphone characteristics on the intentions of non-smartphone consumers to switch or resist the use of smartphones. Data were collected using a convenience sample of non-smartphone users in Taiwan. The proposed model is tested using the consistent partial least squares (PLSc) path modeling technique.

PLSc results indicate that consumer psychographics and smartphone characteristics play more important roles than consumer demographics. Specifically, price consciousness, nostalgia, and perceived ease of use are good predictors of intention to switch, whereas perceived usefulness and ease of use are strong predictors of the intention to resist smartphone adoption.

The results of this study have implications for mobile phone vendors and mobile manufacturers who target non-smartphone users or laggard adopters.

This study is among the few that focus on non-smartphone users’ perceptions of smartphones. Hence, this empirical study could contribute to the development and testing of theories related to the smartphone adoption process.

Many work conditions require manipulators to open cabinet doors and then gain access to the desired workspace. However, after opening, the unlocked doors can easily close, interrupt a task and potentially break the operating end-effectors. This paper aims to address a manipulator's behavior planning problem for responding to a dynamic workspace released by door opening.

A dynamic model of the restricted workspace released by an unlocked door is established. As a whole system to treat, the interactions between the workspace and robot are analyzed by using a partially observable Markov decision process. A self-protective policy decision executed as a belief tree is proposed. To respond to the policy, this study has designed three types of actions: stay on guard in the workspace, using an elbow joint to defense the door and linear escape out of the workspace for self-protection by observing collision risk levels to trigger them. Finally, this study proposes self-protective motion controllers based on risk time optimization to act to the planned actions.

The elbow defense could balance robotic safety and work efficiency by interrupting the end-effector's work and using the elbow joint to prevent the door-closing in an active collision way. Compared with the stay and escape action, the advantage of the elbow defense is having a predictable performance to quick callback the interrupted work after the risk was relieved.

This work provides guidance for the safe operation of a class of robot operations and the upgrade of motion planning.

Current modellings of granular collapse are lack of considering the effect of soil density. This paper aims to present a numerical method to analyse the collapse of granular column based on the critical-state soil mechanics.

In the proposed method, a simple critical-state based constitutive model is first adopted and implemented into a finite element code using the coupled Eulerian–Lagrangian technique for large deformation analysis. Simulations of column collapse with various aspect ratios are then conducted for a given initial soil density. The effect of aspect ratio on the final size of deposit morphology, dynamical collapse profiles and the stable region is discussed comparing to experimental results. Moreover, complementary simulations with various initial soil densities on each aspect ratio are conducted.

Simulations show that a lower value of initial density leads to a lower final deposit height and a longer run-out distance. The simulated evolutions of kinetic energy and collapsing profile with time by the proposed numerical approach also show clearly a soil density-dependent collapse process.

To the end, this study can improve the understanding of column collapse in different aspect ratios and soil densities, and provide a computational tool for the analysis of real scale granular flow.

The originality of this paper is proposed in a numerical approach to model granular column collapse considering the influences of aspect ratio and initial void ratio. The proposed approach is based on the finite element platform with coupled Eulerian–Lagrangian technique for large deformation analysis and implementing the critical-state based model accounting for the effect of soil density.

Online charitable giving is prevalent, and how to attract individuals' attention to donate is essential for charities. Little is known about the interaction effect of empathy (donor) and vulnerability (receiver) on donate intention. To bridge this gap, this study aims to investigate whether the influence of empathy on charitable giving would be moderated by receivers' vulnerability, and if yes, what is the mechanism.

Five experiments were conducted in the context of charitable giving with 1,303 participants to test our hypotheses.

When empathetic individuals confronted high vulnerable receivers, they were less likely to donate; otherwise, they were more likely to donate when they confronted low vulnerable receivers, and this interaction effect was mediated by concern about self.

The present research identifies a novel moderator of the effect of empathy on charitable giving and elucidates the underlying mechanism of concern about self. Based on these findings, the authors provide actionable implications for charities by demonstrating the interaction effect of empathy and vulnerability on donate intention.

We set out, in this paper, to extend the Das and Sundaram (2000) model as a means of simultaneously considering correlated default risk structure and counter-party risk. The multinomial model established by Kamrad and Ritchken (1991) is subsequently modified in order to facilitate the development of a computational algorithm for valuing two types of active credit derivatives, credit-spread options and default baskets. From our numerical examples, we find that along with the correlated default risk, the existence of counter-party risk results in a substantially lower valuation of credit derivatives. In addition, we find that different settings of the term structure of interest rate volatility also have a significant impact on the value of credit derivatives.

Emotion work benefits service organizations, but high emotion-workloads lead to negative consequences for employees. We examined differences between employees highly competent in emotion work (Experts) and those who are less competent (Novices). We found that Novices conformed to organizational level display rules, used simple strategies and felt overwhelmed by their emotion-workload. In contrast, Experts followed interaction level display rules, used proactive strategies, and found emotion work to be effortless. This suggests that emotion work competence can act as a firewall buffering employees from negative consequences. Hospitality organizations can benefit from encouraging employees to increase their emotion work competence.

Collaborative writing is an interactive process. It saves time and energy, and it integrates the knowledge of multiple writers. Wiki is a platform for collaborative writing in the Web 2.0 era. This paper's aim is to focus on the many benefits of wikis.

To understand the effect of using wikis on collaborative writing, the authors conducted a laboratory experiment. They measured writing output under three user modalities (face to face, synchronous distribution, and asynchronous distribution) and with two writing tools (a wiki web site and MS Word).

Compared to the use of MS Word, face‐to‐face collaborative writing with wikis led to significantly higher levels of participation, and externally evaluated quality of the writing product, and satisfaction with the product and process. However there was no significant effect on document length. Satisfaction is significantly higher with wikis than with MS Word in both distributed collaborative writing conditions, but this was not the case for document length and externally evaluated quality.

The paper shows that the findings have important implications for business. First wikis do not require professional instructors to facilitate their use in meetings. Second the confirmation of wikis' effectiveness motivates the use of wikis toward a more open business environment.

Customer relationship management (CRM) indicates a comprehensive strategy and an interactive process intended to achieve an optimum balance between corporate investment and the satisfaction of customer needs to generate the maximum profit. E‐CRM refers to CRM using internet technology plus a database, OLAP, data warehouse, data mining, etc. In order to gain an understanding of the efficiency of implementing an e‐CRM system within the library context, to develop theoretically and empirically an evaluation process for the e‐CRM system and survey its impact on service quality, a pilot scheme was initiated in 2004. The pilot scheme was to design and implement an e‐CRM prototype system for a particular academic library in Taiwan and to survey the system's performances. This paper aims to discuss this matter.

The case study methodology was chosen for this preliminary study. A prototype e‐CRM system was designed and built for an academic library in Taiwan. To measure its service quality, a questionnaire survey was conducted.

It was found that the respondents have the relatively highest perception scores related to the library's trying to improve its service quality, and the relatively lowest perception scores for the system's capability of keeping a promise. In general, the respondents' perception toward e‐CRM service quality was either neutral or positive.

A workable methodology for measuring the e‐CRM service quality in a particular academic library is presented, and information about the service being evaluated is gathered.

Two strengths of the preliminary study are that a prototype e‐CRM system is designed and implemented in an academic library and a measurement instrument is devised. These will both be useful to other libraries.

This is the second in a series of papers focused on alcohol and substance abuse rehabilitation centers. Centers face the ongoing challenge of validating outcomes to meet the burden of evidence for insurance companies. In the first paper, data mining was used to establish baseline patterns in treatment success rates, for the Futures: Palm Beach Rehabilitation Center, that have a direct impact on a client’s ability to receive insurance coverage for treatment programs. In this paper, we examine 2016 outcomes and report on facility efficacy, alumni progression and sobriety, and forecast treatment success rates (short and long term) in support of client insurability. Data collection has been standardized and includes admissions data, electronic medical records data, satisfaction survey data, post-discharge survey data, Centers for Disease Control (CDC) data, and demographic data. Clustering, partitioning, ANOVA, stepwise regression and stepwise Logistic regression are applied to the data to determine statistically significant drivers of treatment success.

Using the Analytical Hierarchy Process, this study aims to identify organizational and market factors that prevent hoteliers from adopting greener management systems. This study first constructs a list of critical factors based on expert judgments reported in the literature and the responses from a select group of experienced managers. Then, the list is further refined by six hotel managers who consolidate the factors, which results in four categories explained by 20 items. Subsequently, this study draws from surveys on an expert panel consisting of 20 study subjects who are familiar with hotel operations. The survey results show that hoteliers’ abilities to create a greener image are the most important factor influencing the managers’ decisions to adopt environmentally friendly management schemes. Nevertheless, their motivation of adopting a green strategy seems to be associated with a marketing strategy, instead of generic environmental stewardship.