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Journal of Advances in Management Sciences & Information Systems

Application of Wald Function to OR and AND Fuzzy Operations in No-Data Problems
Pages:
107-110Creative Commons License

Houju Hori Jr. and Yukio Matsumoto

DOI: http://dx.doi.org/10.6000/2371-1647.2016.02.09

Published: 28 November 2016
 


Abstract:  Subjective qualifiers of Wald’s theory of decision functions are the fuzzy events of the subsequent fuzzy set theory. Wald’s notion of subjective qualifiers involves applying integral transforms to convert states of nature into fuzzy events. Probabilities of fuzzy events and arithmetic formulas for fuzzy utility function values are readily derived from Wald’s integral transforms. We have applied Zadeh’s extension principle to Wald’s integral transforms and demonstrated that fuzzy mathematics is effective when applied to multiple subjective probability distributions conjoined by OR and AND operations. In this paper, we focus on no-data problems and construct a fuzzy Bayes’ theorem for cases in which a membership function and multiple subjective probability distributions conjoined by OR or AND operations are given. In addition, we devise a formulation for the corresponding decision making problem.

Keywords: Subjective qualifier, fuzzy event, membership function, subjective probability distribution, OR-conjunction, AND-conjunction.

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Journal of Advances in Management Sciences & Information Systems

A Stage Model of Social Media Adoption
Pages:
77-93Creative Commons License

Aidan Duane and Philip O’Reilly

DOI: http://dx.doi.org/10.6000/2371-1647.2016.02.07

Published: 20 October 2016
 


Abstract:  There is very little understanding of how organisations manage social media. In particular, there is no established path of activities that guide a company down the path of social readiness, and the management and organisation of social media is under-researched. Consequently, many organisations experience significant problems with their social media business profiles (SMBP). Stage of growth (SoG) models represent a picture of evolution, where the current stage can be understood in terms of history and future, providing an opportunity to identify the stages, paths of evolution, benchmark variables, and dominant problems experienced by organisations at each stage. Following a review of four decades (1974-2014) of SoG model research, and a review of existing social media research and practitioner insight across multiple domains, the authors adopt Gottschalk and Solli-Saether’s (2010) [1] five step Stage Modelling Process as a research methodology to develop a stage model of SMBP implementation and management. The paper analyses the findings from Step 1 (Suggested Stage Model) and Step 2 (Conceptual Stage Model) of the Stage Modelling Process, before concluding with the key findings. This research contributes to academia by enhancing the existing four decades of knowledge of SoG models, extending it to the management of social media in an organisational context. This research is also a critical piece of research from a practitioner perspective, as organisations struggle to devise tactics and strategies to manage social media adoption and use..

Keywords: Social Media, IS Management, Stage Modelling Process, Dominant Problems, Benchmark Variables.
 

Journal of Advances in Management Sciences & Information Systems

Beyond the Big Five: Personality and Job Performance in an E-Commerce Firm
Pages:
94-106Creative Commons License

Lennart Sjöberg

DOI: http://dx.doi.org/10.6000/2371-1647.2016.02.08

Published: 20 October 2016
 


Abstract:  The purpose of this paper was to investigate of the relationship between personality and job performance with employees of a rapidly expanding Swedish e-commerce firm. Two studies were carried out with the UPPTM test of personality. In Study 1, seventy persons took the test on an Internet site. Three groups at NN AB participated: a group of top performers, selected by management, a group of employees selected at random, and 8 members of NN AB's top management. In Study 2, the validity of the UPPTM test was investigated with relation to supervisor assessments in a group of employees in customer service at NN AB. In Study 1, large and significant differences were found between the group of employees selected at random, and the other two groups. In terms of correlations, validity was = 0.44. In Study 2, the tested subjects were assessed by supervisors using a comprehensive assessment form (40 variables), which could reduced to three criterion dimensions. The validities for the three criterion dimensions of value for the company (halo), efficiency and social functioning were 0.66, 0.52 and 0.40. Analysis of proxy criteria (work motivation and similar attitude scales) gave similar results.

Keywords: Job achievement, personality, test validity, halo.
 

Journal of Advances in Management Sciences & Information Systems

Application of Fuzzy Numbers to the Assessment of CBR Systems
Pages:
53-62Creative Commons License

Michael Gr. Voskoglou

DOI: http://dx.doi.org/10.6000/2371-1647.2016.02.05

Published: 20 September 2016
 


Abstract:  Case-Based Reasoning (CBR) is the process of solving problems by properly adapting the solutions of similar (analogous) problems solved in the past. As an Artificial Intelligence’s method CBR has become recently very popular to information managers increasing the effectiveness and reducing the cost of various human activities by substantially automated processes, such as diagnosis, scheduling, design, etc. In this paper a combination is utilized of the Centre of Gravity defuzzification technique and of the Fuzzy Numbers for assessing the effectiveness of CBR systems. Our new fuzzy assessment approach is validated by comparing its outcomes in our applications with the corresponding outcomes of two traditional assessment methods, the calculation of the mean values and the GPA index.

Keywords: Analogical Reasoning (AR), Case-Based Reasoning (CBR), Fuzzy Logic (FL), Centre of Gravity (COG) Defuzzification Technique, Triangular and Trapezoidal Fuzzy Numbers (TFNs and TpFNs), GPA index.

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