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Journal receives papers in continuous flow and we will consider articles from a wide range of Information Technology disciplines encompassing the most basic research to the most innovative technologies. Please submit your papers electronically to our submission system at http://jatit.org/submit_paper.php in an MSWord, Pdf or compatible format so that they may be evaluated for publication in the upcoming issue. This journal uses a blinded review process; please remember to include all your personal identifiable information in the manuscript before submitting it for review, we will edit the necessary information at our side. Submissions to JATIT should be full research / review papers (properly indicated below main title).

Journal of Theoretical and Applied Information Technology
September 2019 | Vol. 97 No.17

Title:	A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
Author:	AHMAD HAWALAH
Abstract:	In recent years, the use of Internet and online comments, expressed in natural language text, have increased significantly. However, it is difficult for humans to read all these comments and classify them appropriately. Consequently, an automatic approach is required to classify the unstructured data. In this paper, we propose a framework for Arabic language comprising of three steps: pre-processing, feature extraction and machine learning classification. The main aim of the proposed framework is to exploit the combination of different Arabic linguistic features. We evaluate the framework using two benchmark Arabic tweets datasets (ASTD, ATA), which enable sentiment polarity detection in general Arabic and Jordanian dialects. Comparative simulation results show that machine learning classifiers such as Support Vector Machine (SVM), Naive Bayes, MultiLayer Perceptron (MLP) and Logistic Regression-based produce the best performance by using a combination of n-gram features from Arabic tweets datasets. Finally, we evaluate the performance of our proposed framework using an Ensemble classifier approach, with promising results.
Keywords:	Arabic, Sentiment Analysis, NLP
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2019 -- Vol. 97. No. 17 -- 2019
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Title:	GAMIFICATION: STRENGTHENING THE RELATIONSHIP BETWEEN THE GOVERNMENT AND THE CITIZENS
Author:	GUNAWAN WANG, ARFANIE YANU ARIYANTO
Abstract:	The level of internet utilization in the field of public services in the form of complaint reports is still very low. Although the e-Government program has been carried out by the Jakarta Capital City Provincial Government since 2015 through Jakarta Smart City, by implementing Citizen Relationship Management (CiRM) through eight complaint channels, where citizens can participate in city development. But in the past three years the number of complaints has continued to decline. On the other hand, the use of social media in the field of governance is a major trend in e-government practices throughout the world, in an effort to support public information disclosure, efficiency, effectiveness, and accountability of governance. The gamification effect is believed to be able to overcome this problem, many studies have shown that the gamification effect has a major influence in activating individual motivation. We are using the Octalysys Gamification Framework to analyze Gamification in implementing CiRM. We obtained data from observations of the current system, interviews with related parties, and questionnaires to citizens of Jakarta as users of the complaint channel. The results of the analysis show the lack of use of game design elements in the CiRM complaint channel, additional gamification techniques is needed to increase citizens engagement and participation. The conclusion of our study is that Gamification is very instrumental in supporting the implementation of CiRM. So that hopes to strengthening the relationship between the Government and Citizens can be achieved.
Keywords:	Gamification, Social Media, Citizen Relationship Management, Octalysis Gamification Framework
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2019 -- Vol. 97. No. 17 -- 2019
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Title:	HEURISTIC BASED REGRESSION TEST CASE PRIORITIZATION ALGORITHM WITH ANALYSIS FOR TEST COST REDUCTION AND OPTIMIZED COST PATH GENERATION
Author:	DR. PRITI, KAVITA
Abstract:	Regression testing applies the selective test method on software system to identify the faults in modified software system in the maintenance phase. The observation criteria, test case priority and sequence of test conductance affect the testing efforts, cost and efficiency. In this paper, a level prioritized and weight processed dynamic programming method to optimize the regression test sequence. In this proposed model, the work is divided in three integrated stages. In first stage, the graph based dependency and branch analysis is done. At this stage, the prioritization of modules and module-segments is done under graph degree and dependency evaluation. In second stage, various aspects of fault and code change are analyzed collectively to assign the priority code segments. The module weights are also integrated with priority vector to generate the collective weights for each stage. In the final stage, the dynamic programming approach with back aggregative evaluation is conducted to identify the optimized test sequence. The comparative evaluation is conducted against fault based and dependency based evaluation methods applied using greedy and dynamic programming approaches. The analysis results verified that the proposed model reduced the cost and number of testcases required to perform the regression testing for software projects. The overall performance of regression testing is improved by this proposed approach.
Keywords:	Regression Testing, Prioritization, Graph based, Dynamic Programming
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2019 -- Vol. 97. No. 17 -- 2019
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Title:	A DETAILED ANALYSIS OF NEW INTRUSION DETECTION DATASET
Author:	MOHAMMED HAMID ABDULRAHEEM, NAJLA BADIE IBRAHEEM
Abstract:	The increasing use of Internet networks has led to increased threats and new attacks day after day. In order to detect anomaly or misused detection, Intrusion Detection System (IDS) has been proposed as an important component of secure network. Because of their model free properties that enable them to identify the network pattern and discover whether they are normal or malicious, Machine-learning technique has been useful in the area of intrusion detection. Different types of machine learning models were leveraged in anomaly-based IDS. There is an increasing demand for reliable and real-world attacks dataset among the research community. In this paper, a detailed analysis of most-recent dataset CICIDS2017 has been made. During the analysis, many problems and shortcoming in a dataset were found. Some solutions are proposed to fix these problems and produce optimized CICIDS2017 dataset. A 36-feature has been extracted during the analysis, and compared to 23-featured extracted by the dataset from literatures. The 36-features gave the best result of losses, accuracy and F1-score metrics for the testing model.
Keywords:	CICIDS2017, Network Anomaly Detection, Imbalance Dataset, Quantile Transform, Machine Learning.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2019 -- Vol. 97. No. 17 -- 2019
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Title:	TEMPERATURE AND POWER INVESTIGATION OF 6LOWPAN AND RPL PROTOCOLS FOR LOW POWER INTERNET OF THINGS
Author:	CHETNA DABAS, GAURAV KUMAR NIGAM
Abstract:	Internet of Things (IoT) is a technology which enables the connection, communication and interaction of a huge number of complex heterogeneous devices without human intervention. The communication involved in IoT targets from micro applications to the macro ones while managing vertical through horizontal scalability. Huge number of smart devices connected in the IoT possesses connection mechanisms which may be wireless or wired in nature. The wireless mechanisms in the IoT come with lots of challenges associates with them. There are crucial IoT protocols in the IoT protocol stack namely Low Power Wireless Personal Area Networks (6LoWPAN) and Routing Protocol for Low Power and Lossy Area Networks (RPL) which makes the wireless communications amongst these numerous IoT smart things having low power and limited memory happen. In such a constrained IoT scenario, it becomes very important to evaluate the performance of these protocols in terms of various performance affecting parameters. In the light of the same, this research paper investigates the power and temperature analysis along with comparison of 6LoWPAN and RPL protocols in terms of consumed power. It is observed that the choice of which protocol to use clearly relies on the application of context. Further, temperature and power of the nodes plays vital role in the performance of protocols in the IoT systems. The results are plotted in form of graphs.
Keywords:	Internet of Things, 6LoWPAN, RPL, Low power
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2019 -- Vol. 97. No. 17 -- 2019
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Title:	LOCALIZING MULTIPLE SCLEROSIS LESIONS FROM T2W MRI BY UTILIZING IMAGE HISTOGRAM FEATURES
Author:	BAYDAA TAHA AL-HAMADANI
Abstract:	Multiple Sclerosis (MS) is one of the most frequent causes of permanent disability in young adults by damaging the central nervous system through the demyelinating process. As most of the demyelinating diseases, MS is asymptomatic. Hence, to diagnose and monitor the progress of MS patients, brain Magnetic Resonance Imaging (MRI) is used in order to localize MS lesions. According to McDonald’s criteria, white lesions, appeared in T2W MRIs, in callosum and periventricular areas are typical. In this context, this paper proposed a fast localization and segmentation algorithms to localize MS lesions based on histogram features besides morphological features such as place, area, and intensity of the lesions appeared in the monitored places. The segmentation algorithm supplies the radiologist with the area of the detected lesions which considered to be valuable information in the process of monitoring the progress of the disease. The evaluation procedures were carried out using two different clinical databases with 664 brain MR images. The results showed that the proposed technique achieved competitive sensitivity, specificity, predictive, and accuracy with 90.4, 95.6, 96.4, and 92.1 respectively. The average overall execution time with 12.3ms is considered to be fast compared with other proposals.
Keywords:	Multiple Sclerosis, Histogram Equalization, Morphological Features, Magnetic Resonance Imaging, Texture Features, Localizing Lesions, Segmenting Lesions.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2019 -- Vol. 97. No. 17 -- 2019
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Title:	ONLINE MOBILE-BASED PERSONAL TOUR APPLICATION USING ARTIFICIAL BEE COLONY OPTIMIZATION ALGORITHM
Author:	SAWSAN ALSHATTNAWI, IYAD ABU DOUSH , ANAS ALSOBEH
Abstract:	Tourists that visit multiple locations need to have prior knowledge about interesting and attractive destinations. Selecting the most suitable tour plan for any tourist is not an easy task. Building a schedule of proposed destinations may allow the tourist to navigate between these destinations efficiently based on his/her time and budget. This paper applies the Artificial Bee Colony optimization algorithm (ABC) to build a tour plan by selecting the Points of Interest (POIs). The algorithm is applied to the user mobile phone. Tourist must specify the start place, the end place, the stay period (number of days) and the preferred POIs, if any, and some other preferences. The objective is to maximize the tourist satisfaction by selecting several POIs which satisfy the provided time and budget. The system is built on top of Android for its simplicity, popularity, and availability of web services. To evaluate the efficiency of the proposed technique, we build a dataset of 50 attractions in Jordan. The algorithm fitness function is tuned based on comparing the resulted tour plan with a tour plan generated by an expert. The evaluation shows that the proposed technique gives the maximum number of POI within the provided time and budget.
Keywords:	Mobile Application, Artificial Intelligence, BEE Colony Algorithm, Web Service, Tour Plan.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2019 -- Vol. 97. No. 17 -- 2019
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Title:	COMPLEX NETWORKS BASED ALGORITHM FOR INFECTIOUS DISEASES SPREAD MODELING
Author:	KHATAR ZAKARIA , BOUATTANE OMAR , BENTALEB DOUNIA
Abstract:	In this paper we propose a new algorithm to model the spread of infectious diseases in the population. Through a combination of the Susceptible-Infected-Recovered (SIR) epidemiology model and Small World social network. The model helps to understand the dynamics of infectious diseases in a population, and to identify the main characteristics of epidemic transmission and its evolution over time. Simulations were conducted to evaluate the proposed model. The obtained results were analyzed in order to explore how the evolution of the network influences the spread of the disease also statistical test was applied to validate our model. This model allows health policy makers to better understand the epidemic spread and to implement relevant control strategies.
Keywords:	SIR model, Complex networks, Infectious diseases, Influenza.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2019 -- Vol. 97. No. 17 -- 2019
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Title:	DEVELOPMENT OF SOFTWARE ARCHITECTURE FOR A 3D VIRTUAL ENVIRONMENT WITH THE INCORPORATION OF A REACTIVE INTELLIGENT AGENT
Author:	TANIA JEZABEL LOPEZ GARCIA, ROSA MARIA RODRIGUEZ-AGUILAR , JESUS ANTONIO ALVAREZ-CEDILLO , TEODORO ALVAREZ-SANCHEZ
Abstract:	The development of applications with Virtual Reality technology is currently on the rise. However, there is no formal methodology or architecture for the creation of this type of systems. However, to solve the problem, traditional information systems methodologies, traditional information systems methodologies are used that have been adapted to the development of this type of applications, which has caused a waste of the resources that these technologies offer. That is why we propose the design of architecture specifically for a 3D Virtual Environment, using an artificial intelligence technique, in this case, an Intelligent Reactive Agent. The proposed architecture was developed from a Videogame architecture.
Keywords:	Systems architecture, Intelligent agent, 3D virtual environment.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2019 -- Vol. 97. No. 17 -- 2019
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Title:	MESSAGE FRAMING STRATEGY AND BRAND ATTACHMENT FOR IT PRODUCTS
Author:	SEUNGBAE PARK, SANGCHUL WOO, JAEWON HONG
Abstract:	The objective of this study is to understand the relationship between type of advertising and brand attachment in IT products. For this purpose, 4 experimental groups in total were structured by applying 2 (Gain and Loss) × 2 (Reference and Scarcity Pressure) between-subjects factorial design for IT and non-IT products. The results showed that the gain-loss frame and scarcity pressures on brand attachment were not statistically significant in IT products. And, interaction effect of gain-loss frames and scarcity pressure on brand attachment was found in IT products. However, in non-IT products, only the effect of gain-loss frame was shown. That is, the more emphasis on gain and the less pressure on scarcity, the more effective ad type for brand attachment in IT products. On the basis of the results, theoretical and managerial implications, and directions for further research discussed.
Keywords:	IT Products, Brand Attachment, Gain-Loss Frame, Scarcity Pressure, Advertising
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2019 -- Vol. 97. No. 17 -- 2019
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Title:	THE INFLUENCE OF ENTREPRENEURIAL COMPETENCIES OF PROJECT LEADER ON INNOVATIVE IDEA GENERATION IN THE ICT FIRMS
Author:	MOTAHAREH ZAREFARD, DAE-YUL JEONG
Abstract:	To be more adaptive, innovative, and remain competitive in challenging business environment, entrepreneurship and intrapreneurship are becoming increasingly important for high-technology firms as well as ICT and software firms to renew strategic innovation. This study examines the impact of entrepreneurial competencies of project leaders on the innovative behavior of IT experts and software developers during the new ICT and software development processes. We especially focused on the mediating role of team intrapreneurial climate and self-efficacy of team members between the independent variable and the performance variable. Structural equation model was constructed from the theoretical hypotheses, and the model was proved based on responses from the survey of knowledge workers who have experience in the ICT and software development projects. The conclusions would give some implications for the ICT and software companies who intend to form and develop successful intrapreneurial climate for project teams and to increase self-efficacy for innovative work behavior of their employees.
Keywords:	Entrepreneurial Competencies, Intrapreneurial Behavior, Team Climate, Self-efficacy, ICT Project Teams.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2019 -- Vol. 97. No. 17 -- 2019
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Title:	A QUANTITATIVE MODEL OF DETERMINANTS OF USE BEBAVIOR FOR THE CRYPTOCURRENCY SYSTEM IN TERMS OF SECURITY CONCERNS AND RISKS
Author:	YOUNG-HO HWANG, YOO-JIN MOON
Abstract:	The paper performs quantitative analysis of moderating effects of security concerns and risks for management of cryptocurrency systems and proposes solutions for security concerns and risks. The results show some important implications for the management of cryptocurrency systems. Particularly, performance expectancy can be headed for management and system design strategies of cryptocurrency service providers, and the cryptocurrency systems should be elaborated in the pleasant and beneficial way. This paper also illustrates that perceived security concerns and perceived risks might negatively affect cryptocurrency use and trading. Based on the research results, security concerns and risks prove that they are very important interaction variables as a great interest for cryptocurrency users. For the safe transmission of cryptocurrency in the financial industries, the paper suggests that Korean Article 49 of the Enforcement Decree of Information and Communication Network Act should require higher standards to the cryptocurrency exchange markets. For the safe transactions of cryptocurrency, the paper suggests three solutions for security concerns and risks relevant to the cryptocurrency exchange markets.
Keywords:	Cryptocurrency, Use Behavior, Performance Expectancy, Social Influence, Hedonic Motivation, Security Concerns, Risks
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2019 -- Vol. 97. No. 17 -- 2019
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Title:	MOBILE COMMERCE CONSUMER VALUE DISPARITY BY GENERATION GAP : GIFT-GIVING CASE
Author:	HYUN JIN, YEO, SEOK-HUN KIM
Abstract:	According the Pew research, a smartphone penetration rate of the world is fifty percent while major twenty-seven counties’ median is seventy-six percent. The higher level of income country has higher penetration. With penetration rate of smartphone growth, mobile coupon market including gift coupon is dramatically growing either. In that, there have been diverse analysis and studies about mobile coupon. Meanwhile, as the digital technology has been dramatically improved, the generation gap conflict issued at marketing and human resource management in business criteria. In this research, I clarify generation gap of mobile coupon gift consumers by multi-group structural equation model to define characteristic of e-commerce consumer on mobile coupon gift. As a result, there are generation gap on gift-giving intention causing factors among generations: generation X, Y, and Z.
Keywords:	Generation Gap, Gift-Giving, Mobile-Coupon, e-Commerce, Mobile-Commerce
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2019 -- Vol. 97. No. 17 -- 2019
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Title:	FINDING THE OPTIMAL PATH TO THE LOYAL CLUSTER BASED ON RATE OF PROFIT
Author:	SANG-CHUL LEE, KWANG-HYUK IM
Abstract:	With internet-based business, it is important to maintain existing customers, as well as to attract new ones. To maintain existing customers and enhance customer loyalty, companies should find low-loyalty clusters and change low-loyal customers into loyal customers. Based on the economic analysis of ROP (Rate of Profit), this research proposes a method for improving customer loyalty by transferring low-loyalty clusters into an optimal loyalty cluster. By confirmatory factor analysis, six items were deleted and thirteen items for four primary factors were remained. The analysis of a two-level SOM resulted in the development of ten market segments. To find the optimal (target) cluster for improving customer loyalty, this research calculates ROP based on gain and cost between the groups. This research determined the target cluster and the path to move into and proposed the strategies to change customer behavior. The proposed method may help companies identify the optimal cluster where a loyalty exceeds cost
Keywords:	Market Segmentation, Self-Organizing Map, Customer Loyalty, Economic Analysis, Rate of Profit.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2019 -- Vol. 97. No. 17 -- 2019
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Title:	ANALYSIS ON TRENDS OF ICT-BASED FASHION TECH BUSINESS MODELS
Author:	JAEYOUNG LEE
Abstract:	ICT(Information and Communications Technologies) has been influencing on overall fashion industry which is considered as the representative field of emotional marketing. In particular, the fashion tech combining the ICT and fashion has been creating the visual effects and diversified in the entire fashion business processes beyond the developed of simple fashion device. Accordingly, this paper analyzed the trend of business models which have been implemented at present before the full-scale development of fashion tech. In accordance with the analysis results, this paper identified the expansion of integrated digital platform based on connectivity, intelligence and computerization in the physical aspects, activation of untact marketing related to individualization and unmanned operation in the social aspects, and pursuit of value consumption reflecting emotional bonding and spiritual bonding in the cultural aspects. The results will be used as the empirical data for the implementation of businesses related to fashion tech in the future. The continuing research and development on the ICT-based fashion tech will be the solution for the future fashion industry to cope with the rapidly changing preference and consumption patterns of the public.
Keywords:	Fashion Tech, Business Model, Digital Platform, Untact Marketing, Value Consumption
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2019 -- Vol. 97. No. 17 -- 2019
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Title:	A STUDY ON THE QUALITY CHECK PROCESS MODEL FOR SOFTWARE DEVELOPMENT USING QUALITY GATE
Author:	OK-SU YANG, KOO-RACK PARK, DONG-HYUN KIM, JAE-WOONG KIM
Abstract:	Many SW development companies have recently made a number of efforts to improve their organization's development capabilities and product quality. Although advanced process models such as CMMI and SPICE were introduced in Korea, they are too complex and diverse to apply to small domestic projects with limited efficiency. There have been many existing evaluation models, but the reality is that there is a lack of research on performance models that can be applied to projects. This thesis introduces the Software Development Quality Check Management Execution Model, a simple model that can be easily applied to small projects. Applying the proposed model to small projects is expected to improve the quality of the software.
Keywords:	Software engineering, CMMI, SPICE, Development methodology, SW Development Process, QG(Quality Gate)
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2019 -- Vol. 97. No. 17 -- 2019
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Title:	A STUDY ON VIDEO DATA ACCESS CONTROL TECHNOLOGY USING CP-ABPRE SCHEMES IN CCTV ENVIRONMENT
Author:	YONG-WOON HWANG, IM-YEONG LEE
Abstract:	Recently, CCTV has been advancing with the development of IoT technology and intelligence converging with CCTV, as opposed to recording only videos as in the past. Currently, it is used in various fields. Therefore, there are various security threats in the advanced CCTV environment. For example the attacker can acquire the information of the user captured on the CCTV by acquiring the transmitted video data. Also it is possible to disturb the integrity of the video data by leaking or manipulating it to the outside. Additionally, if an attacker hacks a server that manages multiple CCTV videos, many CCTVs can be affected by the attacker's actions. In this paper, to solve the security threat CCTV, video data is encrypted and managed on the server using the CP-ABE method of attribute-based encryption so that only authorized users can access the video data. In addition, if a person with different attributes wants to access the video data, the video data can be accessed safely by re-encrypting the video data using proxy re-encryption techniques based on the attributes of the accessor.
Keywords:	CCTV, Attributes Based Encryption, Proxy re-encryption, Access Control
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2019 -- Vol. 97. No. 17 -- 2019
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Title:	EFFICIENT TREE-STRUCTURED ITEMS PRUNING FOR BOTH POSITIVE AND NEGATIVE ASSOCIATION RULES
Author:	JURYON PAIK
Abstract:	Researchers endeavor to develop efficient association rule mining algorithms that are suitable for being stored in RDBMSs or native systems and reach a certain level of maturity. However, with rapidly developing sensor-rich environments, the volume of flexible, extensible, and cost-effective data, such as JSON, XML, and so on, also increases exponentially with a sheer diversity. Even though the researchers report impressive levels of accuracy in the discovery of association rules, widespread adoption is hardly possible. Because most proposed approaches are not designed for such flexible but complex data models. They generally focus on simple record data for structured data models. The current data model paradigm, however, is unstructured or semi-structured one, which is usually represented by graph or tree. The sophisticated tree-based models guarantee data exchangeability, heterogeneity, and granularity without consideration of data types. Tree-based data modeling underpins several disruptive data models. Representing any data requires big tradeoff, that is rigorous analyzing. It is much harder to mine hidden information from the tree-based modeling data. Under the Fourth Industrial Revolution, however, data is not just the data, but critical corporate asset. The commoditized data and its valuable analytics in unique ways enable new insights. New analytical techniques can fuel discovery and innovation. This paper targets on providing data analytics methodology, especially for tree-based data models, in order to support both positive and negative association rules. This work provides several adjusted definitions and expressions for both types of associations rules, and shows simple mathematical results applied with some constraints to decide in advance whether patterns have values to be discovered.
Keywords:	Tree-based Data Model, Tree Structured Data, Negated Tree Items, Positive Tree Items, Association Rules
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2019 -- Vol. 97. No. 17 -- 2019
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Title:	WHAT INFLUENCES THE ADOPTION OF INNOVATIVE PRODUCTS ON E-COMMERCE? FOCUSING ON NEED FOR POWER, INNOVATIVENESS AND IMPLICIT SELF THEORY
Author:	JUNSIK KWAK
Abstract:	There are five types of consumer according to the rate of adoption about new ideas and technology. The categories of adopters are innovators, early adopters, early majority, late majority and laggards. Company that make innovative products focus on the innovators and early adopters because they are main target of innovative products and they can recommend innovative products to their friends and share their experience to social media. A few studies were about factors that influenced on buying innovative products. The purpose of this research is how consumer’s need for power (controllability), construal level, and implicit self-theory influence to adopt innovative product. Especially, Construal Level Theory says people use a high-level construal to describe distant future events in terms of primary features, whereas people use a low-level construal to describe near future events in terms of secondary features. Therefore, we examined change of innovators focus. We conducted three experiments. For data processing, univariate ANOVA was used to deduct following results. First, High need for power group (there for, High NFP) evaluated innovative product more favorably than low need for power group. Second Product evaluation is more positively in the near future than in the distant future. The difference between high versus low innovativeness was significant. That is, participants in the high innovativeness rated Google glass as more positively. In the near future, high innovative participants are not likely to different with evaluation of Google glass according to Need-For-Power. However, low innovative participants with high NFP evaluated Google glass positively more than low innovative participants with low NFP. Finally, the difference in evaluation between entity theorists and incremental theorist for innovative products is not almost significant. Results showed that power related message influenced the adoption of innovative product in the near future. In the future research, we will find the key factors to adopt the innovative product more easily
Keywords:	Innovative product, Construal Level Theory, Controllability, Desirability, Implicit Self-theory.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2019 -- Vol. 97. No. 17 -- 2019
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