Invited Speaker Presentation:

Challenge and Opportunity of Psycho-informatics: From Data Science to the Psychometrics
Ford Lumban Gaol, BINUS University

The Psycho-informatics focuses on the developing and applying new methods for acquiring, organizing, and synthesizing psychological data using interface of computer and information sciences, neuroscience, and psychology. As Interdisciplinary, the challenge to employ inter-disciplinary expertise in psychological and neuroimaging research. Our projects are started from the Psychological Case Knowledge Base System to the electronic psychological testing. We also work in the area of Neuroscience data to predict the behavior and maturity of psychology of someone.

Paper Presentations:

Delphi-FAHP and PROMETHEE: An Integrated Approach in Healthcare Facility Location Selection
Debmallya Chatterjee, T. A. Pai Management Institute

Fuzzy AHP and PROMETHEE-GAIA are among the two most prominent MCDM tools used by the researchers in facility location selection. However both the methods have their weaknesses reported by the researchers. AHP suffers the problem of size and developing consensus where PROMETHEE can be improved with the hierarchical structure of AHP. This paper makes an attempt to embed Delphi to Fuzzy AHP and then integrate it with PROMETHEE-GAIA to develop a robust model in healthcare facility location selection. The purpose is to overcome the weaknesses of both the individual methods by this amalgamation. A case of thirteen alternative locations from six different subdivisions from India is considered to demonstrate the applicability of this integrated method.

A Meta-analysis of the Relevance of the Technology Acceptance Model in Explaining Technology Adoption Behavior
Tanikan Pipitwanichakarn, NIDA Business School
Nittaya Wongtada, NIDA Business School

This article employed a meta-analysis to assess the generalization of the Technology Acceptance Model in the field of technology adoption behavior. Its results were compared with existing reviews on this model. Based on forty-nine empirical studies conducted during 2011-2014, our findings were similar to those of previous reviews. This confirmed the generalizability of Technology Acceptance Model. However, a main difference from previous reviews was found in employing students as surrogate of consumers in investigating technology adoption reaching similar conclusions to those collected from other sample groups.

The Efficiency of Winning by Score in Team Sport: A Case of NFL Teams in 2014 Season
Rapeepat Techakittiroj, Assumption University

The modeling of the Production-Possibility Frontier (PPF) and the estimation of Technical Efficiency (TE) are applicable and benefit to stakeholder in a variety of industries including sport business. As a result, objectives of this research are 1) to find the appropriate production frontier model, 2) to analyze the influence of each factor, and 3) to estimate the efficiency of each team. Among 3 different shape of production frontier, the linear form provided the best fit to the percentage of wins of teams in NFL 2014 season. The most significant variables suggest the important of defensive performance. The production frontier indicated that Seattle Seahawks possess the potential to win the most games. The technical efficiency, however, awarded Arizona Cardinal the most efficiency team.