Configurations of business strategy and marketing channels for e-commerce and traditional retail formats: A Qualitative Comparison Analysis (QCA) in sporting goods retailing

This article applies a configurational approach to study the fit between retail format, business strategy, and multi-channel setup. Its empirical material consists of five case studies, and a data set of 74 sporting goods retailers in Sweden. Our results show that a retailer can create strategic advantages when its multi-channel setup fits with its business strategy, and that retail format is important for explaining differences in growth and profit, the former being assigned to e-commerce and the latter to physical stores. Moreover, the study reveals that to some extent online channels also have positive performance implications for physical store retailers.     

Impact of customers' assessment of website attributes on e-relationship in the securities brokerage industry: A multichannel perspective

The paper focuses on the comparison between pure e-retailers and multichannel retailers' customers and how they differ in their evaluations of functional and relational attributes of the website, as well as how these attributes impact online relationships. An online survey among online securities investors was conducted. Subjects were self-selected from blogs and forums dedicated to personal finance. A total of 326 questionnaires formed the final sample of this study. By using a series of univariate analyses of variance, structural equation modeling, and multi-group analysis, this research empirically demonstrates that the e-service quality evaluation and determinants of online relationship are different in multichannel contexts versus pure online ones. Results show that customers of multichannel retailers are not more loyal than those of pure online retailers. However, multichannel retailers exceed pure online retailers at achieving a higher level of online trust and a higher assessment of website features. The paper concludes with managerial implications that may be useful in multichannel retailing.     

An estimation of returns to scale of airport airsides under multiple optimal solutions in DEA

The returns to scale (RTS) nature of 37 Chinese airport airsides are investigated in this paper. Multiple optimal solutions in DEA (Data Envelopment Analysis) models may lead to error RTS estimation. To address this problem, we use the (Zhu and Shen, 1995) RTS method. The empirical study shows that all those airsides with two runways operate under decreasing RTS and those airsides with only one runway either operate in the area of increasing RTS or in the area of constant RTS.     

Analysis of tourism information sources using a Mokken Scale perspective

This study contributes to the analysis of information sources as a determinant of the travel decision-making process. It focuses on the use of Mokken Scale Analysis (MSA) as a new methodological approach to detect unidimensional hierarchical scale in the analysis of information sources. The paper shows how MSA can be applied in the tourism field. Findings reveal two different scales (active and passive information search scales) for classifying information sources in tourism. Variations in the scales are revealed, taking socio-demographic and travel behavioural variables into consideration. The conclusions clearly explain the implications for tourism marketers and make recommendations for future research.     

An assessment of organic apparel,environmental beliefs and consumer preferences via fashion innovativeness

The topic of organic apparel has been widely discussed among academics and practitioners in recent years. While numerous studies have been done on the topic, few studies to date have assessed the topic of fashion innovativeness and its influence on attitudes towards organic apparel. In addition, an evaluation of consumer preferences for organic apparel from a conjoint analysis perspective has not been implemented. Thus, the purpose of the present study was to identify which organic apparel attributes are most important to high fashion innovativeness and low fashion innovativeness groups. Furthermore, the variables of environmental beliefs and attitudes towards purchasing organic apparel were assessed. An online survey was developed to measure the variables, including a full profile discrete choice design used to measure attribute preferences for t‐shirts. The data were analyzed using a multinomial logit model and desirability indices. The results indicated that the low fashion innovativeness group preferred organic and eco‐friendly apparel more than the high fashion innovativeness group. In addition, when examining high fashion innovativeness and low fashion innovativeness groups overall, the preferred t‐shirt was Dri‐Fit, Cotton Jersey Knit, Made In America, Eco‐Friendly and $25.00. However, when examining high fashion innovativeness and low fashion innovativeness groups separately for the preferred t‐shirt, differences appeared in Sustainable. The results suggest that high fashion innovativeness and low fashion innovativeness groups may desire different organic apparel attributes when considering organic apparel.     

'More is not necessarily better': the relationship between the quantity and quality of training efforts

International comparisons indicate that, on average, Belgian companies spend less on training than their French, German and Dutch counterparts. Encouraging companies to commit to training has consequently been an important policy goal over the last few years. One notable aspect of the policy to encourage training efforts by companies is that the effort is always represented in terms of the resources invested (input), not in terms of the learning achieved (output) or the quality of training programmes (throughput). Government policy is aimed at increasing the level of investment in company training. One of the questions we wish to investigate is whether this input-oriented approach to the training issue is actually effective. Whether companies will succeed in raising human capital to ever-increasing levels may depend not only (and maybe not even chiefly) on the extent of financial investment in training. The investment level does not necessarily determine the quality of the training processes developed by companies. Therefore, this paper focuses on the following research questions: (1) to what extent do companies monitor the systematic development of sufficiently effective training processes? In other words, is qualitative under-investment an issue, alongside financial under-investment? (2) Is the level of financial investment in company training correlated to the quality of training processes? The empirical data confirm that a kind of 'qualitative' under-investment can be reported and that the relationship between the level of investment in training and the quality of the training programmes is weak.     

Risk-based decision analysis in support of precautionary policies

A decision-analytic model for avoiding a risky activity is presented. The model considers the benefit and cost of avoiding the activity, the probability that the activity is unsafe, and scientific tests or studies that could be conducted to revise the probability that the activity is unsafe. For a single decision maker, thresholds are identified for his or her current subjective probability that the activity is unsafe. These thresholds indicate whether the preferred course of action is avoiding the activity without further study, engaging in the activity without further study, or conducting a test or research programme to obtain additional information and following the result. When these thresholds are low, precautionary action is more likely to be warranted. When there are multiple stakeholders, differences in their perceptions of the benefit and cost of avoidance and differences in their perceptions of the accuracy of the additional information provided by the test or research programme combine to create differences in their decision thresholds. Thus, the model allows for the rational expression of differences among parties in a way that highlights disagreements and possible paths to conflict resolution. The model is illustrated with an application to phytosanitary standards in international trade and examined in terms of recent empirical research on lay perceptions of risks, benefits, and trust. Further research is suggested to improve the elicitation of model components, as a way of fostering the legitimate application of risk-based decision analysis in precautionary policy making.     

Cost effectiveness of rosuvastatin in patients at risk of cardiovascular disease based on findings from the JUPITER trial

Abstract

Objective:

This study assessed the long-term cost effectiveness of rosuvastatin therapy compared with placebo in reducing the incidence of major cardiovascular (CVD) events and mortality.

Methods:

A probabilistic Monte Carlo simulation model estimated long-term cost effectiveness of rosuvastatin therapy (20?mg daily) for the prevention of CVD mortality and morbidity. The model included three stages: (1) CVD prevention simulating the 4 years of the JUPITER trial, (2) initial CVD prevention beyond the trial, and (3) subsequent CVD event prevention. A US payer perspective was assessed reflecting direct medical costs, and up to a lifetime horizon. Sensitivity analyses tested the robustness of the model estimates.

Results:

For a hypothetical cohort of 100,000 patients at moderate and high risk of CVD events based on Framingham risk of ≥10%, estimated quality-adjusted life-years (QALYs) gained with rosuvastatin therapy compared with placebo was 33,480 over a lifetime horizon, and 25,380 and 9916 over 20-year and 10-year horizons, respectively. Approximately 12,073 events were avoided over the lifetime; 6,146 non-fatal MIs, 2905 non-fatal strokes, and 4030 CVD deaths avoided. Estimated incremental cost-effectiveness ratio (ICER) for cost per QALY was $7062 (lifetime), $10,743 (20-year horizon), and $44,466 (10-year horizon). For a hypothetical cohort similar to the overall JUPITER population, the cost per QALY ICER was $11,025 for the lifetime and $60,112 for a 10-year horizon.

Limitations:

The cost-effectiveness comparison of rosuvastatin 20?mg was against no active treatment (as opposed to an alternative statin) due to lack of comparative cardiovascular morbidity and mortality risk reduction data for other statins in a population similar to the JUPITER trial population. The analysis was conducted from the payer perspective and lack of inclusion of indirect costs limit interpretability of results from a societal perspective.

Conclusions:

Treatment with rosuvastatin 20?mg daily, is a cost-effective treatment alternative to no treatment in patients at a higher risk (Framingham risk ≥10%) of CVD.     

C2C电子商务卖家及其产品成交量的多层线性影响分析

论文以淘宝网为对象收集样本,运用多层线性模型研究价格、信息描述、默认排名、卖家信用度和卖家好评率对成交量的影响。结果显示成交量在不同商家间存在显著的差异,价格和信息描述会对成交量产生重要影响而默认排名影响不显著,卖家信用度和卖家好评率会对成交量产生显著的影响。     

Program Evaluation and Review Technique (PERT) in Construction Schedule Risk Assessment

Construction project scheduling is one of the most critical factors for project success measurement.Not only for the project planning but for construction process management,the scheduling is the basic tool for communication between the owner and the project manager.By developing the schedule before the project starts,the owner knows in advance that the expected timeline of the project.By preparing construction process scheduling,the owner and general contractor can better manage the subcontractors,sub-trades progress,materials storage and deliveries,labors schedule and equipment set up which will eventually save time,money and hassle.Basically,Critical Path Method(CPM) is commonly used in the construction industry.CPM is a deterministic method that assumes that through the network,there is at least one path that determines the project duration and that the path is the critical path.CPM does not consider the uncertainty in the activities;rather it assumes that each activity can be finished in the given situation.Program Evaluation and Review Technique(PERT) is a stochastic technique which is based on the assumption that the duration of a single activity can be described by a probability density function.PERT takes into account the uncertainty during the construction process and has been created out of the need to plan,schedule and control complex projects with many uncertainties.The PERT approach is stated in some books and papers,but there is no deep investigation on the application in the schedule risk assessment.This paper investigates the PERT work process and takes a valuable try on the construction schedule risk assessment by using case studies.The utilization in the estimate the construction liquidated damage with the uncertainties is performed,which also can be used in the insurance company to calculate the insurance premium.