Systems Statistical Engineering – Systems Hierarchical Constraint Propagation

Cotter (ASEM-IAC 2012, 2015, 2016, 2017): (1) identified the gaps in knowledge that statistical engineering needed to address and set forth a working definition of and body of knowledge for statistical engineering; (2) proposed a systemic causal Bayesian hierarchical model that addressed the knowledge gap needed to integrate deterministic mathematical engineering causal models within a stochastic framework; (3) specified the modeling methodology through which statistical engineering models could be developed, diagnosed, and applied to predict systemic mission performance; and (4) proposed revisions to and integration of IDEF0 as the framework for developing hierarchical qualitative systems models. In the last work, Cotter (2017) noted that a necessary dimension of the systems statistical engineering body of knowledge is hierarchical constraint propagation to assure that imposed environmental economic, legal, political, social, and technical constraints are consistently decomposed to subsystems , modules, and components and that modules, and subsystems socio-technical constraints are mapped to systemic mission performance. This paper presents systems theory, constraint propagation theory, and Bayesian constrained regression theory relevant to the problem of systemic hierarchical constraint propagation and sets forth the theoretical basis for their integration into the systems statistical engineering body of knowledge

Situation-Based Shifts in Consumer Web Site Benefit Salience: The Joint Role of Affect and Cognition

This study addresses the process by which differences in web site benefit salience arise in consumers’ minds for different anticipated usage situations. We investigate two routes by which situation may determine consumer benefit salience and find support for both route structures. The results indicate that individuals’ relative benefit importance ratings shift between different anticipated usage situations, both directly, and indirectly, through consumers’ anticipated affective states. Furthermore, the number of benefits that is rated as important by consumers is found to also differ depending on their anticipated affective states, providing further insight into why consumer benefit salience may vary across situations.affective route;cognitive route;situatieafhankelijkheid;usage situation;web site benefit salience;HD9696.82

Using Constraint Reasoning on Feature Models to Populate Ecosystem-driven Cloud Services e- Marketplace

Service providers leverage cloud ecosystems and cloud e-marketplaces to increase the business value of their services and reach a wider range of service users. A cloud ecosystem enable participating services to combine with other services, along their QoS properties; while the e-marketplace provides an environment where atomic services interconnect in unprecedented ways to be traded on the marketplace platform. Noting the unprofitability, impracticality and error-prone nature of performing ad hoc service combination of atomic services, the concern addressed in this technical report is how to guide the combination of atomic services participating in an ecosystem in a seamless manner. In this technical report, we proposed the use of feature models to model the inter-relationships and constraints among the atomic services, which is transformed into a constraint satisfaction problem and off-the-shelve constraint solvers are used to determining valid combinations. The collection of valid combinations become the blueprint that guides service composition and populates the e-marketplace service directory; users can then make service selection decisions based on the list. The applicability of the approach proposed in this report is demonstrated via an example of Customer relationship management as a service ecosystem

Situation-Based Shifts in Consumer Web Site Benefit Salience: The Joint Role of Affect and Cognition

This study addresses the process by which differences in web site benefit salience arise in consumers’ minds for different anticipated usage situations. We investigate two routes by which situation may determine consumer benefit salience and find support for both route structures. The results indicate that individuals’ relative benefit importance ratings shift between different anticipated usage situations, both directly, and indirectly, through consumers’ anticipated affective states. Furthermore, the number of benefits that is rated as important by consumers is found to also differ depending on their anticipated affective states, providing further insight into why consumer benefit salience may vary across situations

Social Commerce and Consumer Intention to Purchase Evidence From Popular Social Networks in Iran

The aim of this study is to investigate the relationship of consumer behavior in s-commerce by proposing a research model that incorporates various factors. To conclude, perceived usefulness and perceived enjoyment have a positive relationship with attitude. The proposed model that examines the mediating effects of attitude on variables. It is reported that perceived usefulness could be mediated by the effect of attitude, however, perceived enjoy fullness doesn\u27t not. As with any study of this nature, a number of limitations have to be pointed out. The first limitation is the issue of generalization. Small sample size collected in this study lead to the poor-fit structural model. Thus, the findings must be interpreted with caution and cannot be conclusively used to generalize to all the consumer behavior towards s-commerce. The second limitation relates to the cross-sectional nature of the current study. Future research to investigate consumer behavior towards s-commerce by utilizing longitudinal methodology can be adopted. Also, variables such as trust could be added to capture more efficient results

Assessing Importance and Satisfaction Judgments of Intermodal Work Commuters with Electronic Survey Methodology, MTI Report WP 12-01

Recent advances in multivariate methodology provide an opportunity to further the assessment of service offerings in public transportation for work commuting. We offer methodologies that are alternative to direct rating scale and have advantages in the quality and precision of measurement. The alternative of methodology for adaptive conjoint analysis for the measurement of the importance of attributes in service offering is implemented. Rasch scaling methodology is used for the measurement of satisfaction with these attributes. Advantages that these methodologies introduce for assessment of the respective constructs and use of the assessment are discussed. In a first study, the conjoint derived weights were shown to have predictive capabilities in applications to respondent distributions of a fixed total budget to improve overall service offerings. Results with the Rasch model indicate that the attribute measures are reliable and can adequately constitute a composite measure of satisfaction. The Rasch items were also shown to provide a basis to discriminate between privately owned vehicles (POVs) and public transport commuters. Dissatisfaction with uncertainty in travel time and income level of respondents were the best predictors of POV commuting

Customer Satisfaction with and Loyalty towards Online Travel Products: A Transaction Cost Economics Perspective

This study examines the usefulness of the theory of transaction cost economics (TCE) for the online travel market and investigates customer satisfaction and loyalty with the transaction cost over the Internet taken into account. Using structural equation modelling (SEM), the authors identify the relationships among the antecedents (uncertainty, personal security and buying frequency), the mediating variable (transaction costs) and endogenous constructs (customer satisfaction and loyalty). The findings suggest that the satisfaction and loyalty of customers purchasing travel products over the Internet are affected negatively by transaction costs, which are determined by uncertainty, personal security and buying frequency. Moreover, a significantly negative relationship is identified between buying frequency and customer satisfaction

Evaluating Usability of New Zealand E-Tailing Sites

“When a main street store builds a web site, they open up opportunities to expand their market beyond geographic boundaries. The chances of losing sales from the physical shop are slight, but the potential to increase sales through their web site could be enormous….” [1]. The Internet is world wide virtual world that everyone can access (buy) almo st everything they might want in the real world. The web site is the front door of the online store that interacts between the e-tailer and consumers. Setting up the web site seems easy, but to make the site that usable and effective is not so easy. Of the many web sites on the Internet, only a few can survive and make a profit. Thirty New Zealand e-tailing sites were evaluated using a model adapted from that of Hersey. Most sites do a satisfactory job enabling commercial transactions (providing electronic catalogue, online order, online payment and delivery). 70% of those examined are positioned as full e-commerce capability sites. However, they lack a sense of building the consumer’s trust, a necessary step towards establishing a relationship. They do not provide the necessary assistance to make it easy for consumers to shop online, nor do they create a consumer community. Only 47% use either pull or push techniques to attract and retain the consumers

Utilization of Chatbots in Customer Interface

Automation has become a worldwide trend in business. Businesses try to find competitive edge from more efficient processes, lower costs and better customer service. In this Bachelor’s thesis, I focus on one instance of the trend: web-based chatbots in the customer interface. Based on a broad literature review, this thesis illustrates what are the prerequisites for the utilization of chatbots, how should they be implemented and finally, what pros and cons managers can expect from such investments. Managers should first be aware of the technical restrictions and challenges chatbots as a medium exhibit. Then, through analysis on their customers, managers should assess the suitability of chatbots for their business. The design process should include both the customers as well as different departments in the company. This can also help with change resistance in the implementation phase. Finally, the chatbot should be constantly evaluated to ensure the benefits promised are delivered. Although chatbots can offer versatility and cost savings, poorly design may end up costing the firm both in the terms of unnecessary investment and reduced customer satisfaction. Although no new concepts are introduced, this thesis is a good starting point for managers interested in utilizing chatbots. On the other hand, as the topic is currently relevant, this thesis can be useful for other industries as well