世界経済・社会統計 = World development indicators

计量经济分析 = Econometric analysis

How has Japan become a major economic power, a world leader in the automotive and electronics industries? What is the secret of their success? The consensus has been that, though the Japanese are not particularly innovative, they are exceptionally skilful at imitation, at improving products that already exist. But now two leading Japanese business experts, Ikujiro Nonaka and Hiro Takeuchi, turn this conventional wisdom on its head: Japanese firms are successful, they contend, precisely because they are innovative, because they create new knowledge and use it to produce successful products and technologies. Examining case studies drawn from such firms as Honda, Canon, Matsushita, NEC, 3M, GE, and the U.S. Marines, this book reveals how Japanese companies translate tacit to explicit knowledge and use it to produce new processes, products, and services.

The knowledge-creating company : how Japanese companies create the dynamics of innovation

MKT 6009 Marketing Internship (0 semester credit hours) Student gains experience and improves skills through appropriate developmental work assignments in a real business environment. Student must identify and submit specific business learning objectives at the beginning of the semester. The student must demonstrate exposure to the managerial perspective via involvement or observation. At semester end, student prepares an oral or poster presentation, or a written paper reflecting on the work experience. Student performance is evaluated by the work supervisor. Pass/Fail only. Prerequisites: (MAS 6102 or MBA major) and department consent required. (0-0) S MKT 6244 Digital Marketing Strategy (2 semester credit hours) Executive Education Course. The course explores three distinct areas within marketing and sales namely, digital marketing, traditional sales prospecting, and executive sales organization and strategy. The continuing convergence of the digital marketing and sales funnels has created a strategic continuum from digital lead generation to digital sales. The course identifies the current composition of this digital continuum while providing opportunities to evaluate sales and marketing digital strategies. Prerequisites: MKT 6301 and instructor consent required. (2-0) Y MKT 6301 (SYSM 6318) Marketing Management (3 semester credit hours) Overview of marketing management methods, principles and concepts including product, pricing, promotion and distribution decisions as well as segmentation, targeting and positioning. (3-0) S MKT 6309 Marketing Data Analysis and Research (3 semester credit hours) Methods employed in market research and data analysis to understand consumer behavior, customer journeys, and markets so as to enable better decision-making. Topics include understanding different sources of data, survey design, experiments, and sampling plans. The course will cover the techniques used for market sizing estimation and forecasting. In addition, the course will cover the foundational concepts and techniques used in data visualization and \"story-telling\" for clients and management. Corequisites: MKT 6301 and OPRE 6301. (3-0) Y MKT 6310 Consumer Behavior (3 semester credit hours) An exposition of the theoretical perspectives of consumer behavior along with practical marketing implication. Study of psychological, sociological and behavioral findings and frameworks with reference to consumer decision-making. Topics will include the consumer decision-making model, individual determinants of consumer behavior and environmental influences on consumer behavior and their impact on marketing. Prerequisite: MKT 6301. (3-0) Y MKT 6321 Interactive and Digital Marketing (3 semester credit hours) Introduction to the theory and practice of interactive and digital marketing. Topics covered include: online-market research, consumer behavior, conversion metrics, and segmentation considerations; ecommerce, search and display advertising, audiences, search engine marketing, email, mobile, video, social networks, and the Internet of Things. (3-0) T MKT 6322 Internet Business Models (3 semester credit hours) Topics to be covered are: consumer behavior on the Internet, advertising on the Internet, competitive strategies, market research using the Internet, brand management, managing distribution and supply chains, pricing strategies, electronic payment systems, and developing virtual organizations. Further, students learn auction theory, web content design, and clickstream analysis. Prerequisite: MKT 6301. (3-0) Y MKT 6323 Database Marketing (3 semester credit hours) Techniques to analyze, interpret, and utilize marketing databases of customers to identify a firm's best customers, understanding their needs, and targeting communications and promotions to retain such customers. Topics

Marketing for management.

The present historical moment may seem a particularly inopportune time to review Bowling Alone, Robert Putnam's latest exploration of civic decline in America. After all, the outpouring of volunteerism, solidarity, patriotism, and self-sacrifice displayed by Americans in the wake of the September 11 terrorist attacks appears to fly in the face of Putnam's central argument: that \"social capital\" -defined as \"social networks and the norms of reciprocity and trustworthiness that arise from them\" (p. 19)'has declined to dangerously low levels in America over the last three decades. However, Putnam is not fazed in the least by the recent effusion of solidarity. Quite the contrary, he sees in it the potential to \"reverse what has been a 30to 40-year steady decline in most measures of connectedness or community.\"' As an example of how the current \"war on terrorism\" could generate a durable civic renewal, Putnam points to the burst in civic practices that occurred during and after World War II, which he says \"permanently marked\" the generation that lived through it and had a \"terrific effect on American public life over the last half-century.\" 3 If Americans can follow this example and channel their current civic

Bowling alone: The collapse and revival of American community

Web based electronic stores have become more and more popular. However, there are not many guidelines nor theories showing what features of a store would work and why. The paper develops a set of functional guidelines for designing electronic stores and classifies them into three categories: motivational, hygiene, and media richness factors. An empirical study was conducted to evaluate the relative effect of these factors. The results show that the store design does have an effect on consumer purchase decision. A two-factor theory is plausible: hygiene factors are the major concern when consumers decide whether to shop electronically, while motivational factors play a key role when consumers choose among different electronic stores. Media richness factors are, in general, less important. The implication of the findings is that, for a Web store to beat its electronic competitors, providing good transactional support is the key. If they would like to attract customers from traditional stores, special attention must be paid to the hygiene factors.

Electronic store design and consumer choice: an empirical study

http://www.ecrc.nsysu.edu.tw/liang/paper/1/Project%20Management%20Performance%20(JSS%202009).pdf

The relation of requirements uncertainty and stakeholder perception gaps to project management performance

Electronic commerce (EC) is a business model in which transactions take place over electronic networks, mostly the Internet. It includes the process of electronically buying and selling goods, services, and information. Certain EC applications, such as online buying and
selling stocks and airline tickets, are reaching maturity, some even exceeding non-Internet
trade volume. However, EC is not just about buying and selling; it also is about electronically
innovating, communicating, collaborating, and discovering information. It is about e-learning,
e-customer service, e-government, social networking, problem-solving, and much more. EC is
having an impact on a significant portion of the world, affecting businesses, professions, trade,
and, of course, people. It is undoubtedly improving our quality of life

Electronic Commerce 2018

. This paper reports an investigation of some data and method effects on the predictive accuracy of LIFO/FIFO classification models. The methods compared were probit, ID3, and neural networks. Experiments were conducted to study the effect of data characteristics on classification accuracy and the situations under which a particular method performs better. Hold-out samples were used to calculate the predictive accuracy. The results indicate that (1) different methods identify different factors that affect the LIFO/FIFO choice and (2) in hold-out tests, neural network models have the highest average predictive accuracy, whereas ID3 models have the lowest. Neural network models are the best when dominant nominal variables are present; otherwise, probit models are the best.



Resume. Les auteurs rapportent les resultats d'une analyse de l'incidence de certaines donnees et de certaines methodes sur le pourcentage de previsions exactes derivees des modeles de classification selon l'epuisement a rebours et l'epuisement successif. Ils comparent la methode probit, la methode ID3 et la methode des reseaux neuronaux et procedent a des experiences destinees a l'etude de l'incidence des caracteristiques de certaines donnees sur ce pourcentage et des situations dans lesquelles une methode particuliere donne de meilleurs resultats. Les auteurs ont recours, pour la demonstration, a des echantillons a partir desquels est calcule le pourcentage de previsions exactes. Les resultats revelent que 1) les facteurs influant sur le choix de l'epuisement a rebours ou de l'epuisement successif different selon la methode utilisee et que 2) dans les tests ayant servi a la demonstration, les modeles de reseaux neuronaux presentent le meilleur pourcentage moyen de previsions exactes, alors que les modeles ID3 ont le plus faible pourcentage de previsions exactes. Les modeles de reseaux neuronaux donnent les meilleurs resultats lorsqu'il y a des variables nominales dominantes, faute de quoi les modeles probit sont les meilleurs.

An empirical investigation of some data effects on the classification accuracy of probit, ID3, and neural networks*

Assessing the value of decision support systems (DSS) in organizations is an important line of research. Traditionally, researchers adopt user satisfaction and decision performance as two measures of system success. In some cases, however, the use of DSS may not be driven by satisfaction. Instead, avoiding possible decision errors may be the reason for adoption, which indicates that regret avoidance is another useful measure of DSS success. Regret is a post-decision feeling about not choosing a better alternative. Recent behavior research has indicated that, instead of pursuing higher performance and user satisfaction, reducing decision regret is another important consideration for many decision makers. This research extends prior research on DSS evaluation by proposing regret avoidance as an additional measure of effective DSS use. Results from a laboratory experiment that involves using DSS for stock investment show the existence of a significant effect of reducing regret in situations where user satisfaction level is not high. Hence, it is important to include regret reduction in measuring DSS effectiveness.

/pdf/regret-avoidance-as-a-measure-of-dss-success-9mw5r87jtp.pdf

Ting-Peng Liang

Papers

Electronic store design and consumer choice: an empirical study

The relation of requirements uncertainty and stakeholder perception gaps to project management performance

Electronic Commerce 2018

An empirical investigation of some data effects on the classification accuracy of probit, ID3, and neural networks*

Regret Avoidance as a Measure of DSS Success