Examining Networking Effects and Digital Television Adoption in Latin America: A Focus on Argentina

The transition from analog to digital television provides myriad benefits including better consumer television viewing experiences, increased broadcast spectrum availability for governmental purposes, and a substantial market opportunity associated with the sales of related equipment and services. As a result, four global digital standards have emerged – with the transition well under way in Europe, the United States and many countries in Asia. However, Latin American countries are at various stages of the adoption process, ranging from initial stages of evaluation to implementation. This research provides a theoretical overview of networking effects, as related to the efforts expended by the organizations representing each digital standard in Latin America. An overview of the adoption decisions of various standards within Latin countries is then presented. Specific focus is provided on the unique case of Argentina, which chose a digital standard in 1998 but rescinded the decision and adopted a different standard in 2009. Comparative time series analysis is then used to depict the networking effects of the different standards, providing insight to academia, practitioners, and regulating officials regarding diffusion within Latin America

Digital Television Broadcast Adoption In Latin America

This paper proposes a model of the decision factors used by countries to decide which digital television (DTV) broadcast standard to adopt. The focus is on countries in Latin America that are in the midst of adopting and/or implementing new standards. This paper uses a multiple case study approach and independent inter-rater techniques to extract a set of decision factors used by four Latin American countries to select a digital broadcast television standard. Two decision factors expected by the researchers were confirmed. In addition, two additional decision factors were identified. This research is valuable in developing a deeper understanding of governmental decision-making processes regarding technology, but is not intended for predictive purposes.This paper provides an overview of the different global digital broadcast standards and adoption processes that are underway. It uses this information to develop a set of factors that encompass the decision process for DTV standards adoptions at the national governmental level

A novel improvement to google scholar algorithms through broad topic search.

Google Scholar uses ranking algorithms to find the most relevant academic research possible. However, its algorithms use an exact keyword match and citation count to sort its results. This paper presents a novel improvement to Google Scholar algorithms by aggregating multiple synonymous searches into one set of results, offsetting the necessity to guess all potential search phrases for a research topic. This design science research method uses a broad topic analysis that examines search queries, finds synonymous phrases, and combines all keyword searches into one set of results based on current Google Scholar citation count algorithms. To support and evaluate this research-in-progress, several users will compare multiple niche search queries against old and new algorithms. The expectation of this design is to introduce modern algorithm techniques to academic search engines, resulting in greater quality, discoverability, and core topic diversity of published research

A Comparative Study of Learning Styles of Business Students in The United States and the Dominican Republic

The Index of Learning Styles (ILS) instrument based on the Felder-Silverman Learning Style Model was used to compare distribution of learning styles of business students in the United States and the Dominican Republic. Results show that majority of business students have a balanced learning style in each of the four learning styles dimensions examined. Difference in learning style preference between United States and Dominican Republic was statistically significant only for the sensing-intuitive and active-reflective dimensions of the FelderSilverman model. The knowledge of statistically significant difference in learning styles of the U.S. and non-U.S. students may help American faculty pay attention to special needs of international students attending universities in the U.S

A Framework for Profiling Prospective Students in Higher Education

Prospective student acquisition is a prominent issue in higher education marketing. Noel-Levitz (2012) estimated that higher education institutions are losing as high as 75% of the prospects after receiving an inquiry. Another study reported that 80% of the students who decide to apply to a program were influenced by the post-inquiry communications they had received from the higher education institutions (Aarinen, 2012). This chapter attempts to study the underlying concepts from literature and design a framework to extract prospective student profiles and further extend a discussion on how these profiles can be used to address the prospect engagement

Does Culture Influence Learning Styles of Business Students? A Comparative Study of Two Cultures

This paper presents the usage of the Index of Learning Styles (ILS) instrument based on the Felder-Silverman Learning Style Model to investigate the influence of culture on learning style distribution of business students. Western culture was represented by the United States and was compared with middle-eastern culture represented by Egypt. Results of this study show that majority of business students have a balanced learning style in each of the four learning style dimensions of the Felder-Silverman model both in the U. S. and in Egypt. Difference in learning style distribution of business students between the U. S. and Egypt was statistically significant only for the sensing-intuitive and visual-verbal dimensions of the Felder-Silverman model. The difference was not statistically significant for the active-reflective and the sequential-global dimensions

LEARNING STYLES OF EGYPTIAN BUSINESS STUDENTS

The Index of Learning Styles (ILS) instrument based on the Felder-Silverman Learning Style Model was used to determine distribution of learning styles of eighty Egyptian business students enrolled in an Egyptian institution of higher education. Results show that Egyptian business students surveyed in this study prefer sensing, visual, active, and sequential learning styles over intuitive, verbal, reflective, and global learning styles respectively. The majority of business students have a balanced learning style in all four dimensions of the Felder-Silverman model. Gender difference in learning style preference was statistically significant for only two of the four dimensions. The small gender difference was deemed inconsequential for designing teaching and learning methods. More than 85 percent of Egyptian business students are likely to benefit from teaching methods geared toward sensing, visual, active, and sequential learners

A Proposed Improvement to Google Scholar Algorithms Through Broad Topic Search Emergent Research Forum Paper

Google Scholar uses ranking algorithms to find the most relevant academic research possible. However, its algorithms use an exact keyword match that excludes synonymous search terms that may be overlooked or neglected by researchers. This paper aims to improve on the current Google Scholar Search System by allowing a broad topic search algorithm to diversify and allow synonymous search terms to be included and ranked with other results. The authors propose a Design Science method to improve the Google Scholar Search System by developing a broad topic prototype that will add synonymous keywords into Google Scholar ranking algorithms. The results from twenty users will be evaluated by means of Mean Reciprocal Rank and Discounted Cumulative Gain. This improvement will introduce a modern approach to academic search engines systems, and to allow researchers who overlook potential search queries, an improved core topic diversity, quality, and discoverability of published research