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Full-Text Articles in Business
Service Quality Of Mhealth: Development And Validation Of A Hierarchical Model Using Pls, Shahriar Akter, John D'Ambra, Pradeep Ray
Service Quality Of Mhealth: Development And Validation Of A Hierarchical Model Using Pls, Shahriar Akter, John D'Ambra, Pradeep Ray
Shahriar Akter
Advancing research on service quality requires clarifying the theoretical conceptualizations and validating an integrated service quality model. The purpose of this study is to facilitate and elucidate practical issues and decisions related to the development of a hierarchical service quality model in mobile health (mHealth) services research. Conceptually, it extends theory by reframing service quality as a reflective, hierarchical construct and modeling its impact on satisfaction, intention to continue using and quality of life. Empirically, it confirms that PLS path modeling can be used to estimate the parameters of a higher order construct and its association with subsequent consequential latent …
Trustworthiness In Mhealth Information Services: An Assessment Of A Hierarchical Model With Mediating And Moderating Effects Using Partial Least Squares (Pls), Shahriar Akter
Shahriar Akter
The aim of this research is to advance both the theoretical conceptualization and the empirical validation of trustworthiness in mHealth (mobile health) information services research. Conceptually, it extends this line of research by reframing trustworthiness as a hierarchical, reflective construct, incorporating ability, benevolence, integrity, and predictability. Empirically, it confirms that partial least squares path modeling can be used to estimate the parameters of a hierarchical, reflective model with moderating and mediating effects in a nomological network. The model shows that trustworthiness is a second-order, reflective construct that has a significant direct and indirect impact on continuance intentions in the context …
Gradual Changes In Repeat Customers' Adoption Behavior Toward Responses To Mobile Direct Mail Coupon Promotions, Shahriar Akter
Gradual Changes In Repeat Customers' Adoption Behavior Toward Responses To Mobile Direct Mail Coupon Promotions, Shahriar Akter
Shahriar Akter
Service businesses record the number of visitors as a measure of the performance of their business. However, summarized observations such as the total number of visits per month provide little insight on individual-level visiting behavior. In addition, behavior may change over time, especially in a swiftly changing environment induced by mobile promotions. This paper presents an individual level model for shop visiting behavior based on data of a beauty salon. The model focuses on gradual changes toward responses to mobile direct mail (DM) coupons based on the shop visit interval (SVI) of the beauty salon. This means that as someone …
Exploring Loyalty In Mobile Information Services: The Role Of Sound Amusements, Shahriar Akter
Exploring Loyalty In Mobile Information Services: The Role Of Sound Amusements, Shahriar Akter
Shahriar Akter
The aim of this research is to explore consumer loyalty in mobile amusement information services, using a behaviors-atisfaction‐ loyalty framework. Among many different frameworks of satisfaction‐loyalty, we investigated the impact of ‘use behavior’ on ‘satisfaction’ and that of ‘satisfaction’ on ‘loyalty,’ which results in a strong support of the existing model. It confirms that, on both paths, there are significant associations between a latent variable and a measurement variable of stronger amusement element than that of weaker ones. The results show that amusement contains seven types of measurement variables (i.e., E‐mail, SMS, MMS, Music, Ringtones, Video Streaming, Games) which have …
Capacity Planning With Financial And Operational Hedging In Low‐Cost Countries, Lijian Chen, Shanling Li, Letian Wang
Capacity Planning With Financial And Operational Hedging In Low‐Cost Countries, Lijian Chen, Shanling Li, Letian Wang
Lance (Lijian) Chen
The authors of this paper outline a capacity planning problem in which a risk-averse firm reserves capacities with potential suppliers that are located in multiple low-cost countries. While demand is uncertain, the firm also faces multi-country foreign currency exposures. This study develops a mean-variance model that maximizes the firm’s optimal utility and derives optimal utility and optimal decisions in capacity and financial hedging size. The authors show that when demand and exchange rate risks are perfectly correlated, a risk- averse firm, by using financial hedging, will achieve the same optimal utility as a risk-neutral firm. In this paper as well, …
A Simulation-Based Approach To Solve A Specific Type Of Chance Constrained Optimization, Lijian Chan
A Simulation-Based Approach To Solve A Specific Type Of Chance Constrained Optimization, Lijian Chan
Lance (Lijian) Chen
We solve the chance constrained optimization with convex feasible set through approximating the chance constraint by another convex smooth function. The approximation is based on the numerical properties of the Bernstein polynomial that is capable of effectively controlling the approximation error for both function value and gradient. Thus, we adopt a first-order algorithm to reach a satisfactory solution which is expected to be optimal. When the explicit expression of joint distribution is not available, we then use Monte Carlo approach to numerically evaluate the chance constraint to obtain an optimal solution by probability. Numerical results for known problem instances are …
Re-Solving Stochastic Programming Models For Airline Revenue Management, Lijian Chen, Tito Homem-De-Mello
Re-Solving Stochastic Programming Models For Airline Revenue Management, Lijian Chen, Tito Homem-De-Mello
Lance (Lijian) Chen
We study some mathematical programming formulations for the origin-destination model in airline revenue management. In particular, we focus on the traditional probabilistic model proposed in the literature. The approach we study consists of solving a sequence of two-stage stochastic programs with simple recourse, which can be viewed as an approximation to a multi-stage stochastic programming formulation to the seat allocation problem. Our theoretical results show that the proposed approximation is robust, in the sense that solving more successive two-stage programs can never worsen the expected revenue obtained with the corresponding allocation policy. Although intuitive, such a property is known not …
Ancillary Service Capacity Optimization For Both Electric Power Suppliers And Independent System Operator, Lijian Chen, Dengfeng Sun, Guang Li
Ancillary Service Capacity Optimization For Both Electric Power Suppliers And Independent System Operator, Lijian Chen, Dengfeng Sun, Guang Li
Lance (Lijian) Chen
Ancillary Services (AS) in electric power industry are critical to support the transmission of energy from generators to load demands while maintaining reliable operation of transmission systems in accordance with good utility practice. The ancillary services are procured by the independent system operator (ISO) through a process called the market clearing process which can be modeled by the partial equilibrium from the ends of ISO. There are two capacity optimization problems for both Market participants (MP) and Independent System Operator (ISO). For a market participant, the firm needs to determine the capacity allocation plan for various AS to pursue operating …
Capacity-Driven Pricing Mechanism In Special Service Industries, Lijian Chen, Suraj M. Alexander
Capacity-Driven Pricing Mechanism In Special Service Industries, Lijian Chen, Suraj M. Alexander
Lance (Lijian) Chen
We propose a capacity driven pricing mechanism for several service industries in which the customer behavior, the price demand relationship, and the competition are significantly distinct from other industries. According our observation, we found that the price demand relationship in these industries cannot be modeled by fitted curves; the customers would neither plan in advance nor purchase the service strategically; and the competition would be largely local. We analyze both risk neutral and risk aversion pricing models and conclude the proposed capacity driven model would be the optimal solution under mild assumptions. The resulting pricing mechanism has been implemented at …