An assessment of value creation in mobile service delivery and the moderating role of time consciousness

This study focuses on the perceived utilitarian value of a new service delivery mode, the mobile channel. The authors develop a framework that incorporates three mode-specific benefits - time convenience, user control, and service compatibility - as well as two costs - perceived risk and cognitive effort - as antecedents of perceived value. Because of the pervasiveness of time criticality as a value-added characteristic of the mobile channel, they also investigate the moderating influence of consumers’ time consciousness. They empirically investigate the model using mobile brokerage services as an illustrative application. The results reveal that the identified antecedents, with the exception of service compatibility, have a strong impact on mobile channel value perceptions, which in turn influence behavioral intentions. The authors also find that time consciousness moderates the aforementioned relationships.     

Statistical aspects of simulation: an updated survey*

Abstract Practical statistical techniques for the design and analysis of simulation experiments are presented. These techniques are relevant in both discrete and continuous, deterministic and stochastic simulation. To generalize and interpret the simulation output the analyst can use regression analysis. This analysis allows for interactions among factors. Actually the regression model provides either a first-order or a second-order approximation to the complicated simulation model. To decide which system variants (parameter combinations) should be simulated, the analyst may apply experimental design theory. This theory makes the exploration of the simulated system much more efficient and more thorough. In the preliminary phase of the simulation experimentation special screening designs can be used to investigate hundreds of factors in relatively few runs. In stochastic simulation additional problems arise. There are several approaches for determining how to initialize a simulation run and how long to continue that run. These approaches result in a confidence interval for the estimated response. Both steady-state and transient behavior are examined. Special variance reduction techniques are briefly discussed; the use of common random numbers (identical seeds) is discussed in more detail.     

Regression Sampling in Statistical Auditing: A Practical Survey and Evaluation

Several confidence intervals for the regression estimator are surveyed. A Monte Carlo experiment, based on the NETER and LOEBBECKE (1975) populations, gives estimated coverages and lengths of the different confidence intervals. One interval is exact under the assumption of multivariate normal distributions; it gives longer intervals (hence better coverages) than the interval based on a popular variance estimator. An interval due to ROBERTS (1970) is much too long. Jackknifing gives robust intervals. Rules of thumb for practitioners are given.     

Outsourcing the pain,keeping the pleasure: effects of outsourced touchpoints in the customer journey

Journal of the Academy of Marketing Science - Firms struggle to manage touchpoints in their customer journey that consumers perceive as dissatisfying. Based on attribution theory and associative...     

Identifying Non‐Adopter Consumer Segments: An Empirical Study on Earthquake Insurance Adoption in Turkey

In recent years, steadily climbing natural disaster losses have increased the need to promote new financial risk transfer mechanisms, including insurance, as a mitigation tool to build resilient communities to recover faster after disaster occurrence. However, while the societal need for such policies is high, demand for natural disaster insurance typically is still low. While there is ample research on positive adoption decisions, reasons for non‐adoption has not yet received the attention it deserves. Using the case of earthquake insurance in Turkey, this study investigates how public policy makers and insurance companies can differentiate non‐adopter segments and consequently develop targeted strategies to stimulate the uptake of disaster insurance. Our study develops a non‐adopter typology consisting of four segments—state reliant positivist, dependers, adversaries, and uninformed loners. Differences among segments provide policy makers and insurance companies with meaningful insights to design and consequently introduce affordable natural disaster insurance to the market.     

Sealed-bid auction of Netherlands mussels: Statistical analysis

This article presents an econometric analysis of the many data on the sealed-bid auction that sells mussels in Yerseke town, the Netherlands. The goals of this analysis are obtaining insight into the important factors that determine the price of these mussels, and quantifying the performance of an individual purchase manager. Besides a case-study, the article is a general study on the role of auctions in supply chains and on hedonic price factors.     

Consumer acceptance of wireless finance

M-commerce has been heralded repeatedly as the new service frontier of the millennium. Present market reality, however, seems to be less optimistic. Therefore, the current study explores the factors contributing to the adoption of mobile services in a context of wireless finance. The technology acceptance model was used as a point of departure. For this study, perceived cost, system quality and social influence were added to the model, and the latter two displayed significant effects in the empirical research. Moderating effects of the variables age, computer skills, mobile technology readiness and social influence were investigated, all of which proved to be relevant in the context presented.