Hybrid journal (It can contain Open Access articles) ISSN (Print) 1752-6124 - ISSN (Online) 1752-6132 Published by Inderscience Publishers[451 journals]
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Authors:Wipawan Buathong, Pita Jarupunphol Pages: 1 - 28 Abstract: The proposed work aims to develop an ethical framework for the implementation of artificial intelligence (AI). The present work changes the discussion from 'What is AI ethics' to 'how AI system developers can implement AI ethics'. The current work deploys cybernetics principles to address the challenges pertaining to AI ethics implementation. With the help of two pillar elements of cybernetics, i.e., man and machine, AI ethics principles have been elucidated in the present work. The study demonstrates that cybernetics provides a different dimension to implement AI ethics principles and dispenses a basis to deploy already existing AI ethics principles. The combination of cybernetics theory and AI ethics principles serves as a firm foundation for implementing AI ethics. The present work provides a comparative study of IBM principles for AI ethics, Japanese Society of Artificial Intelligence's (JSAI's) AI ethics principles, and the proposed cybernetics-based AI ethics framework to provide holistic visualisation. Keywords: artificial intelligence; digital ethics; ethics for AI; social good; cybernetics; ethics implementation Citation: International Journal of Social and Humanistic Computing, Vol. 4, No. 1 (2021) pp. 1 - 28 PubDate: 2021-08-05T23:20:50-05:00 DOI: 10.1504/IJSHC.2021.116870 Issue No:Vol. 4, No. 1 (2021)
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Authors:Benjamin E. Larson, Jeremy D. Ezell, Casey G. Cegielski Pages: 29 - 52 Abstract: Trust continues to be a major focus of information systems research as technology pushes further into both our personal and professional lives. However, little attention has been paid to how personal use of technology influences professional trust in its value for modern business processes such as business analytics activities. We conduct an empirical study to examine whether emotional trust formed by personal use of technology impacts workplace trust in business analytics activities. In the context of personal use of social media technology, we examine trust as an antecedent to adoption and look at whether trust in social media will lead to a perceived relative advantage for its use in business analytics processes. Our findings suggest that personal use-based emotional trust influences the trust in social media-based business analytics processes. Additionally, we find evidence suggesting that trust towards social media communities affect the perceived advantage of using social media in analytics. Keywords: business analytics; trust; social media; social media communities; algorithms; business intelligence; emotional trust; cognitive trust Citation: International Journal of Social and Humanistic Computing, Vol. 4, No. 1 (2021) pp. 29 - 52 PubDate: 2021-08-05T23:20:50-05:00 DOI: 10.1504/IJSHC.2021.116872 Issue No:Vol. 4, No. 1 (2021)
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Authors:Hsiang-Lin Tseng, Chiu Chen Pages: 53 - 69 Abstract: The Likert-type scale is commonly used in the hotel industry to measure service quality. This type of scale adopts classical sets concept defined by means of crisp boundaries, which does not allow for ambiguity in mathematical operations. In order to cope with the vague and subjective nature of linguistic measures, this study applied the fuzzy set concept. A translational model with 11 linguistic values and the equilateral triangular model were utilised to reduce the converting bias of service quality measures. While generating the overall rating of service quality in a hotel context, a weighted fuzzy membership function was considered to reduce the bias from midpoint misrepresentation and the bias from being unable to differentiate the dimensions based on importance to the respondent. This study contributes to the literature by using the fuzzy method to precisely represent the perceived service quality of hotel guests. Keywords: service quality; service quality scale; fuzzy set concept; fuzzy weighted average; fuzzy membership function Citation: International Journal of Social and Humanistic Computing, Vol. 4, No. 1 (2021) pp. 53 - 69 PubDate: 2021-08-05T23:20:50-05:00 DOI: 10.1504/IJSHC.2021.116908 Issue No:Vol. 4, No. 1 (2021)
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Authors:Areerat Songsakulwattana, Poonphon Suesaowaluk, Supanit Angsirikul Pages: 70 - 83 Abstract: This paper presents target on the security of store management system from unauthorised access control using face recognition. We propose a service system which is composed of three modules in order to work cooperatively: the store management for multiple locations warehouses provides the location maps; the process of goods withdrawal by confirming biometric face identity; and the module for data analytics to provide statistic report of warehouses store based on individual, date, time and location of the warehouse, where goods are requested. The system is designed in a form of web application to support the organisation with the accuracy and security for the stakeholders who are involved in store management task. The results contribute to producing a certain level of information to suit data analytics, and that it can be beneficial to support managerial decision-making in enhancing business performance. Keywords: online store management system; face recognition; security management Citation: International Journal of Social and Humanistic Computing, Vol. 4, No. 1 (2021) pp. 70 - 83 PubDate: 2021-08-05T23:20:50-05:00 DOI: 10.1504/IJSHC.2021.116907 Issue No:Vol. 4, No. 1 (2021)
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Authors:Areerat Songsakulwattana, Poonphon Suesaowaluk, Supanit Angsirikul Pages: 84 - 110 Abstract: Cloud computing is offering various solutions to the world and in this paper we are exploring the possible solutions in higher education system. The emphasis is on cloud adaptation in Arab world education system. We took case study of Oman higher education system. We explore the factors that have slowed cloud adoption mainly in higher education and find meaningful solutions to improve the usage of cloud in colleges and universities. Responses to examination inquiries give information about the present condition of moderate cloud selection in higher education. A possible solution could be the adoption of cloud computing and its services. The examination will give knowledge about why higher education work force is reluctant to adapt to this technology. Cloud computing additionally has a few issues and concerns like virtualisation, security and trust. This study explores into the slow adoption of cloud in higher education. Cloud adaptation in developing countries specially in Arab world is needed where higher education is in developing stages. In this study we focused on education sector especially higher education. Keywords: emerging technologies; cloud computing; higher education; security and trust Citation: International Journal of Social and Humanistic Computing, Vol. 4, No. 1 (2021) pp. 84 - 110 PubDate: 2021-08-05T23:20:50-05:00 DOI: 10.1504/IJSHC.2021.116906 Issue No:Vol. 4, No. 1 (2021)