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Article Citation - WoS: 67Citation - Scopus: 89Gender, Age and Income Differences in Internet Usage Among Employees in Organizations(Pergamon-elsevier Science Ltd, 2010) Akman, Ibrahim; Mishra, AlokThis paper reviews and discusses Internet issues and reports the findings of a survey concerning the impact of gender, age and income on employees' Internet usage in Turkey. Internet usage was categorized in two empirical factors, namely usage profile (reason for using the Internet, average daily use of the Internet) and usage patterns (average daily use of the Internet for communication/e-mailing/chat, information access/downloading/entertainment and electronic services). The survey was conducted among 200 employees from public and private sector organizations. The results indicated that gender has a positive impact on average daily time spent on the use of the Internet for communication/e-mailing/chat and information access/downloading/entertainment. Age has a positive impact on average daily use of the Internet in general and a negative impact on the use of the Internet for information access/downloading/entertainment. Income was not found to have an impact on empirical factors. Finally, gender, age and income do not have any significant impact on average daily use of Internet for electronic services such as e-commerce/e-shopping/e-banking/e-government. (C) 2009 Elsevier Ltd. All rights reserved.Article Citation - WoS: 75Citation - Scopus: 104Sector Diversity in Green Information Technology Practices: Technology Acceptance Model Perspective(Pergamon-elsevier Science Ltd, 2015) Akman, Ibrahim; Mishra, AlokThis paper examines the existence of diversity between public-and private-sector establishments in Green Information Technology (GIT) adoption using the 'Technology Acceptance Model' (TAM). In this study, GIT simply refers to using IT in ways that help to reduce environmental impacts, which include using energy more efficiently and reducing waste. The model is extended to include the external variables as subjective norm and the level of GIT awareness. For this purpose, a survey was conducted among professionals from public-and private-sector establishments. The findings suggest the following: (1) Diversity exists among establishments from public-and private-sectors in the influence of the Perceived Ease-of-Use (PEU) on Perceived Usefulness (PU) and on the Attitude Towards Use (ATU); (2) Most of the public-sector professionals have concerns for environmental sustainability in using IT; (3) TAM is an important tool for investigating the specific barriers and facilitators of environmental behavior at work; (4) TAM has a have significant predictive power in public -sector establishments; and (5) TAM is significant for private-sector establishments except the relations between the PEU and PU, and PEU and ATU. (C) 2015 Elsevier Ltd, All rights reserved.Article Citation - WoS: 178Citation - Scopus: 235Theory of Reasoned Action Application for Green Information Technology Acceptance(Pergamon-elsevier Science Ltd, 2014) Mishra, Deepti; Akman, Ibrahim; Mishra, AlokThe increase in the use of Information Technology (IT) in recent decades has contributed to additional power consumption as well as a potential overuse of scarce resources. Also, IT is quickly surpassing air transportation in terms of its carbon footprint. For these reasons, increased environmental awareness has increased interest in Green Information Technology (GIT) among IT practitioners. Therefore, the aim of this paper is to investigate behavior for the adoption of GIT applying the conceptual model, referred to as the 'Theory of Reasoned Action' (TEA). For this purpose, a survey was conducted among IT professionals from major public and private sector establishments. Findings indicated that behavioral intention influences actual behavior positively. IT professionals with positive intentions towards GIT issues are actually practicing GIT in their work. Results also indicated that external factors such as person related beliefs, sector of respondents' establishment, and level of awareness have significant impact on attitude towards adoption of GIT. (C) 2014 Elsevier Ltd. All rights reserved.Article Citation - WoS: 13Citation - Scopus: 15Ethical Behavior Issues in Software Use: an Analysis of Public and Private Sectors(Pergamon-elsevier Science Ltd, 2009) Akman, Ibrahim; Mishra, AlokEthical issues related to information systems are important to the information technology (IT) professionals. These issues are also significant for organizations and societies. Although considerable literature on IT and related ethical issues exists, a review of this literature has found little empirical research on ethical practices within the government and private sector organizations. Therefore, the objective of this paper is to draw inferences regarding such practices currently in these sectors. The research results indicate a significant correlation between the code of ethics and the attitude of professionals towards the unethical use of software in government and private sector organizations. These also indicate significant differences in government and private sectors. (C) 2009 Elsevier Ltd. All rights reservedArticle Citation - WoS: 47Citation - Scopus: 79Empirical Analysis of Change Metrics for Software Fault Prediction(Pergamon-elsevier Science Ltd, 2018) Choudhary, Garvit Rajesh; Kumar, Sandeep; Kumar, Kuldeep; Mishra, Alok; Catal, CagatayA quality assurance activity, known as software fault prediction, can reduce development costs arid improve software quality. The objective of this study is to investigate change metrics in conjunction with code metrics to improve the performance of fault prediction models. Experimental studies are performed on different versions of Eclipse projects and change metrics are extracted from the GIT repositories. In addition to the existing change metrics, several new change metrics are defined and collected from the Eclipse project repository. Machine learning algorithms are applied in conjunction with the change and source code metrics to build fault prediction models. The classification model with new change metrics performs better than the models using existing change metrics. In this work, the experimental results demonstrate that change metrics have a positive impact on the performance of fault prediction models, and high-performance models can be built with several change metrics. (C) 2018 Elsevier Ltd. All rights reserved.
