A Transdisciplinary Approach to Construct Search and Integration

Human behaviors play a leading role in many critical areas including the adoption of information systems, prevention of many diseases, and educational achievement. There has been explosive growth of research in the behavioral sciences during the past decade. Behavioral science researchers are now recognizing that due to this ever expanding volume of research it is impossible to find and incorporate all appropriate inter-related disciplinary knowledge. Unfortunately, due to inconsistent language and construct proliferation across disciplines, this excellent but disconnected research has not been utilized fully or effectively to address problems of human health or other areas. This paper introduces a newly developed, cutting edge technology, the Inter-Nomological Network (INN) which for the first time provides an integrating tool to behavioral scientists so they may effectively build upon prior research. We expect INN to provide the first step in moving the behavioral sciences into an era of integrated science. INN is based on Latent Semantic Analysis (LSA), a theory of language use with associated automatic computerized text analysis capabilities.

[1]  William M. Pottenger,et al.  A framework for understanding Latent Semantic Indexing (LSI) performance , 2006, Inf. Process. Manag..

[2]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

[3]  Peter W. Foltz,et al.  The Debate on Automated Essay Grading , 2000, IEEE Intell. Syst..

[4]  M. A. Campion,et al.  Measuring faking in the employment interview: development and validation of an interview faking behavior scale. , 2007, The Journal of applied psychology.

[5]  Richard J. Rankin,et al.  A Test of the Internal/External Frame of Reference Model at Different Levels of Math and Verbal Self-Perception , 1995 .

[6]  A. Tenbrunsel,et al.  Organizational Behavior and Human Decision Processes , 2013 .

[7]  Kai R. Larsen,et al.  9. A Mathematical Approach to Categorization and Labeling of Qualitative Data: The Latent Categorization Method , 2004 .

[8]  B. Zimmerman,et al.  Self-Motivation for Academic Attainment: The Role of Self-Efficacy Beliefs and Personal Goal Setting , 1992, American Educational Research Journal.

[9]  Patrick F. Reidy An Introduction to Latent Semantic Analysis , 2009 .

[10]  Tetsuya Ishikawa,et al.  Japanese/English Cross-Language Information Retrieval: Exploration of Query Translation and Transliteration , 2001, Comput. Humanit..

[11]  Wanda J. Orlikowski,et al.  Studying Information Technology in Organizations: Research Approaches and Assumptions , 1991, Inf. Syst. Res..

[12]  Yasuhiro Ogawa,et al.  PLSI Utilization for Automatic Thesaurus Construction , 2005, IJCNLP.

[13]  Richard A. Harshman,et al.  Indexing by Latent Semantic Analysis , 1990, J. Am. Soc. Inf. Sci..

[14]  Susan T. Dumais,et al.  The vocabulary problem in human-system communication , 1987, CACM.

[15]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[16]  D. Campbell,et al.  Convergent and discriminant validation by the multitrait-multimethod matrix. , 1959, Psychological bulletin.

[17]  I. Ajzen The theory of planned behavior , 1991 .

[18]  Peter W. Foltz,et al.  An introduction to latent semantic analysis , 1998 .

[19]  M. Wegman,et al.  National Health Systems of the World, Volume 2, the Issues , 1994 .

[20]  Xin Liu,et al.  Video summarization and retrieval using singular value decomposition , 2003, Multimedia Systems.

[21]  Mitchell D. Chester,et al.  Efficacy Beliefs of Newly Hired Teachers in Urban Schools , 1996 .

[22]  S. Gosain,et al.  THE EVOLVING INTELLECTUAL DIVERSITY OF THE IS DISCIPLINE: EVIDENCE FROM REFERENT THEORETICAL FRAMEWORKS , 2004 .

[23]  Soe-Tsyr Yuan,et al.  Ontology-based structured cosine similarity in document summarization: with applications to mobile audio-based knowledge management , 2005, IEEE Trans. Syst. Man Cybern. Part B.

[24]  Paul S. Hempel,et al.  Transactive memory system links work team characteristics and performance. , 2007, The Journal of applied psychology.

[25]  Fred D. Davis User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts , 1993, Int. J. Man Mach. Stud..

[26]  Maurice Landry,et al.  Can the field of MIS be disciplined? , 1989, CACM.

[27]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[28]  Robert P. Marble,et al.  Operationalising the implementation puzzle: an argument for eclecticism in research and in practice , 2000, Eur. J. Inf. Syst..

[29]  Kai R. T. Larsen,et al.  A Taxonomy of Antecedents of Information Systems Success: Variable Analysis Studies , 2003, J. Manag. Inf. Syst..

[30]  J. A. Adams,et al.  Psychological bulletin. , 1962, Psychological bulletin.

[31]  Laku Chidambaram,et al.  Relational Development in Computer-Supported Groups , 1996, MIS Q..

[32]  L. Cronbach,et al.  Construct validity in psychological tests. , 1955, Psychological bulletin.