Investigating Internet Channel Opportunities and Challenges: Managers\u27 Experiences Across Five Industries

Based upon a multiple-case methodology consisting of in-depth interviews with senior managers at five nationally recognized firms, the authors offer insights into how and to what extent these firms incorporate the Internet with existing business models and channel strategies. Opportunities to these firms include using the Internet to leverage information, initiate direct-to-consumer marketing practices, and enhance value-chain efficiencies. Challenges to successful incorporation of the Internet as a marketing medium include channel conflict, product characteristics, and intra-firm coordination. These findings provide insights into the complexity facing managers as they attempt to incorporate the Internet within existing business models and illustrate how business strategy involving the Internet must be developed in concert with existing business practices, structures, and relationships

A Mixed-Method Approach for Developing Market Segmentation Typologies in the Sports Industry

This study presents a mixed-method approach for segmenting a sports product-market using participation motivation data. Qualitative data are used to segment a national sports product-market—running footwear—using qualitative analysis software as well as multivariate statistical approaches. This study describes a systematic approach to developing a consumer segmentation typology using both demographic variables as well as self-expressed motivations for sport and fitness participation. The mixed-method approach reported here employs qualitative data to help validate subsequent quantitative cluster analysis, and draws upon cluster profiles to establish the structure for market segmentation. The findings from this study offer implications for marketing research and marketing communications in the sport industry

Future Proof and Real-World Ready: The Role of Live Project-Based Learning in Students’ Skill Development

The rapid pace of technological change taking place today makes it even more important for marketing educators to incorporate relevant technical and higher level meta-skills in their digital marketing courses. We review the pedagogical literature on skill development and project-based learning and detail two live course projects designed to help students develop technical skills related to digital marketing in addition to important meta-skills involving creativity, critical thinking, collaboration, and communication. We evaluate the impact of the projects through a direct and indirect assessment process. Findings suggest that live project–based learning can support the development of the technical and meta-skills necessary for students to adapt to uncertainty and ambiguity and become future proof and real-world ready as they enter the workforce. We discuss the benefits and challenges associated with moving digital marketing education from conceptual to real-life projects and highlight pedagogical recommendations for educators who want to integrate live project-based learning into their courses

Return on interactivity: The impact of online agents on newcomer adjustment

As service offerings grow in both range and complexity, how service providers and their customers interact is becoming increasingly important. In response to the challenge of optimizing these interactions, companies have introduced sophisticated online "socialization agents," whose purpose is to help new customers more effectively adjust to and function within the service environment. The objective of these online agents, or virtual employees, is to help customers evaluate new or unfamiliar service offerings, as well as help companies achieve greater levels of service delivery and financial performance. To investigate this, the authors analyze the process by which online agents help both new and current customers adjust to and function within new, unfamiliar, or complex service contexts. They examine the impact of an online agent on account performance in the banking industry. They find that both interaction style and content of the online agent significantly influence the newcomer adjustment process over time, which in turn influences firm-level performance

Cosmic Background Radiation Temperature Anisotropy: Position of First Doppler Peak

The purpose of the Cosmic Background Radiation (CBR) experiments is to measure the temperature anisotropy via the autocorrelation function. The partial wave $l_1$ corresponding to the first Doppler peak caused by baryon-photon oscillations at the surface of last scattering depends on the present density $\Omega_0$ and the cosmological constant contribution $\Omega_{\Lambda}$. We discuss this dependence on the basis of perspicuous figures.Comment: 16 pages LaTeX including four figure

Supersymmetric Electroweak Cosmic Strings

We study the connection between $N=2$ supersymmetry and a topological bound in a two-Higgs-doublet system with an $SU(2)\times U(1)_Y\times U(1)_{Y^{\prime}}$ gauge group. We derive the Bogomol'nyi equations from supersymmetry considerations showing that they hold provided certain conditions on the coupling constants, which are a consequence of the huge symmetry of the theory, are satisfied. Their solutions, which can be interpreted as electroweak cosmic strings breaking one half of the supersymmetries of the theory, are studied. Certain interesting limiting cases of our model which have recently been considered in the literature are finally analyzed.Comment: 20 pages, RevTe

4DVAR assimilation of GNSS zenith path delays and precipitable water into a numerical weather prediction model WRF

The GNSS data assimilation is currently widely discussed in the literature with respect to the various applications for meteorology and numerical weather models. Data assimilation combines atmospheric measurements with knowledge of atmospheric behavior as codified in computer models. With this approach, the “best” estimate of current conditions consistent with both information sources is produced. Some approaches also allow assimilating the non-prognostic variables, including remote sensing data from radar or GNSS (global navigation satellite system). These techniques are named variational data assimilation schemes and are based on a minimization of the cost function, which contains the differences between the model state (background) and the observations. The variational assimilation is the first choice for data assimilation in the weather forecast centers, however, current research is consequently looking into use of an iterative, filtering approach such as an extended Kalman filter (EKF). This paper shows the results of assimilation of the GNSS data into numerical weather prediction (NWP) model WRF (Weather Research and Forecasting). The WRF model offers two different variational approaches: 3DVAR and 4DVAR, both available through the WRF data assimilation (WRFDA) package. The WRFDA assimilation procedure was modified to correct for bias and observation errors. We assimilated the zenith total delay (ZTD), precipitable water (PW), radiosonde (RS) and surface synoptic observations (SYNOP) using a 4DVAR assimilation scheme. Three experiments have been performed: (1) assimilation of PW and ZTD for May and June 2013, (2) assimilation of PW alone; PW, with RS and SYNOP; ZTD alone; and finally ZTD, with RS and SYNOP for 5–23 May 2013, and (3) assimilation of PW or ZTD during severe weather events in June 2013. Once the initial conditions were established, the forecast was run for 24&thinsp;h. The major conclusion of this study is that for all analyzed cases, there are two parameters significantly changed once GNSS data are assimilated in the WRF model using GPSPW operator and these are moisture fields and rain. The GNSS observations improves forecast in the first 24&thinsp;h, with the strongest impact starting from a 9&thinsp;h lead time. The relative humidity forecast in a vertical profile after assimilation of ZTD shows an over 20&thinsp;% decrease of mean error starting from 2.5&thinsp;km upward. Assimilation of PW alone does not bring such a spectacular improvement. However, combination of PW, SYNOP and radiosonde improves distribution of humidity in the vertical profile by maximum of 12&thinsp;%. In the three analyzed severe weather cases PW always improved the rain forecast and ZTD always reduced the humidity field bias. Binary rain analysis shows that GNSS parameters have significant impact on the rain forecast in the class above 1&thinsp;mm&thinsp;h−1.</p

Gaugino Condensates and Fluxes in N = 1 Effective Superpotentials

In the framework of orbifold compactifications of heterotic and type II orientifolds, we study effective N = 1 supergravity potentials arising from fluxes and gaugino condensates. These string solutions display a broad phenomenology which we analyze using the method of N = 4 supergravity gaugings. We give examples in type II and heterotic compactifications of combined fluxes and condensates leading to vacua with naturally small supersymmetry breaking scale controlled by the condensate, cases where the supersymmetry breaking scale is specified by the fluxes even in the presence of a condensate and also examples where fluxes and condensates conspire to preserve supersymmetry.Comment: 31 page