Template-Type: ReDIF-Article 1.0 Author-Name: Alma Maciulyte-Sniukiene Author-X-Name-First: Alma Author-X-Name-Last: Maciulyte-Sniukiene Author-Name: Mindaugas Butkus Author-X-Name-First: Mindaugas Author-X-Name-Last: Butkus Title: Impact of information and communication technologies on productivity growth Abstract: In modern economy information and communication technologies (ICT) play the essential role. The improvement of ICT infrastructure, developing ICT knowledge and usage can lead to economic growth due to higher productivity. However, this impact can depend on countries' ICT investment or expenditure amount, reached ICT development and productivity levels. Moreover, ICT impact on productivity growth can occur after a certain period. Consequently, forming the ICT development strategies it is important to identify ICT impact period and impact differences between relatively high and low productivity countries. Authors examined the impact of ICT investments on productivity in EU countries covering the period of 1995–2015. Research results have revealed that ICT development positively and directly influences productivity, but this effect manifests with a lag in time. Moreover, it was found that the impact of ICT development on productivity is about twice bigger in countries with relatively high productivity level compared with countries that have relatively low productivity level. Journal: Int. J. of Information Technology and Management Pages: 1-18 Issue: 1 Volume: 19 Year: 2020 Keywords: information and communication technologies; ICT; ICT investment; labour productivity; productivity growth. File-URL: http://www.inderscience.com/link.php?id=104501 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:19:y:2020:i:1:p:1-18 Template-Type: ReDIF-Article 1.0 Author-Name: Amali Çipi Author-X-Name-First: Amali Author-X-Name-Last: Çipi Author-Name: Enida Pulaj Author-X-Name-First: Enida Author-X-Name-Last: Pulaj Title: A Delphi-based study on the innovation practices in the Albanian financial sector Abstract: Based on an application of the Delphi technique, this paper aims to analyse the current situation of innovation practices in Albania, based on an application of the Delphi technique to a panel of Albanian financial institutions executives. Despite the short life of most of the financial companies in the Albanian trade market, results show that executives have a relatively good level of knowledge regarding the benefits of the innovation approach to the firm, but there is a lack of some innovation types used by their companies. Furthermore, there is a low level of investment amount to be spent in innovation, indicating a non-possibility to create new products or processes and thus not having the possibility to be a leader and create better promise for the company growth. Government is advised to consider innovation as a mediating factor to achieve better business performance and thus helping and promoting sustainable macroeconomic growth. Journal: Int. J. of Information Technology and Management Pages: 19-32 Issue: 1 Volume: 19 Year: 2020 Keywords: innovation; technology innovation; product innovation; Albania; Delphi technique; financial companies. File-URL: http://www.inderscience.com/link.php?id=104502 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:19:y:2020:i:1:p:19-32 Template-Type: ReDIF-Article 1.0 Author-Name: Maria Rosaria Marcone Author-X-Name-First: Maria Rosaria Author-X-Name-Last: Marcone Title: Implementing ERP evaluation through a fuzzy analysis: an empirical investigation Abstract: The purpose of this paper is to present an integrated manufacturing performance measurement through an (implemented) integrated information technology system to focus the organisation on value streams and, by doing so, to improve performance, and, secondly, to analyse the results obtained. This study extends the literature on information systems (ISs) integration by providing insights into a set of interrelationships that are relevant for the attainment of firm profitability from IS integration. The conceptual model for fitness evaluation was developed by literature review. The purpose of this paper is to develop a comprehensive model for fitness evaluation and to determine a fitness index using fuzzy methods. To test the hypotheses, we employed a multi-case study methodology. An evaluation of the improvement in efficiency of the processes was conducted on 21 medium sized enterprises (SMEs) which produce on the basis of orders, and have implemented a system of (ERP), in order to check the progress of each order and to increase the efficiency of the processes they are connected to. Journal: Int. J. of Information Technology and Management Pages: 33-46 Issue: 1 Volume: 19 Year: 2020 Keywords: information management; enterprise resource planning; ERP evaluation; production systems; fuzzy analysis. File-URL: http://www.inderscience.com/link.php?id=104503 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:19:y:2020:i:1:p:33-46 Template-Type: ReDIF-Article 1.0 Author-Name: Joseph Vithayathil Author-X-Name-First: Joseph Author-X-Name-Last: Vithayathil Author-Name: Majid Dadgar Author-X-Name-First: Majid Author-X-Name-Last: Dadgar Author-Name: J. Kalu Osiri Author-X-Name-First: J. Kalu Author-X-Name-Last: Osiri Title: Does social media use at work lower productivity? Abstract: We conducted an empirical study that analysed the relationship between the use of social media at work and project success at work. This study adds to the emerging literature on the impact of social media use on organisational outcomes. We found that only one of the four popular social media platforms studied adds value to the workplace. Specifically, we found the use of Facebook at work, whether controlling for age, gender and education or not, to be negatively associated with project success. The use of LinkedIn (with the controls) and the use of other social media (without the controls) were both found to be positively associated with work project success. Other social media was used to capture all other social media platforms, including firm-specific or work-specific social media platforms. We explained our results using social network analysis (SNA), the strength of weak ties and information diffusion theories. Our findings have implications for practice, policy and future research. Journal: Int. J. of Information Technology and Management Pages: 47-67 Issue: 1 Volume: 19 Year: 2020 Keywords: social media usage; project success; social network analysis; SNA; strength of weak ties. File-URL: http://www.inderscience.com/link.php?id=104504 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:19:y:2020:i:1:p:47-67 Template-Type: ReDIF-Article 1.0 Author-Name: Parvathi Jayaprakash Author-X-Name-First: Parvathi Author-X-Name-Last: Jayaprakash Author-Name: R. Radhakrishna Pillai Author-X-Name-First: R. Radhakrishna Author-X-Name-Last: Pillai Title: Assessing the business dimensions of green IT transformation: a case of an Indian IT organisation Abstract: Green information technology (green IT) is the application of ecological consciousness to information technologies (ITs). This paper attempts to assess the business dimensions of green IT transformation in an organisation. The four business dimensions of green IT transformation, namely, economy, technology, people, and process are used in this study in the context of an Indian IT organisation. Though green IT transformation is unique for every organisation, a case of a particular organisation can provide a roadmap for other companies to develop such green IT transformation. Our analysis brings out the status of transformation in all four dimensions and recommendations are drawn to fine-tune the green IT transformation based on the findings. Journal: Int. J. of Information Technology and Management Pages: 68-90 Issue: 1 Volume: 19 Year: 2020 Keywords: green IT; green IT strategy; green IT transformation; business dimensions; Indian IT organisation. File-URL: http://www.inderscience.com/link.php?id=104505 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:19:y:2020:i:1:p:68-90 Template-Type: ReDIF-Article 1.0 Author-Name: Yu-Tang Lee Author-X-Name-First: Yu-Tang Author-X-Name-Last: Lee Author-Name: Chung Yeh Author-X-Name-First: Chung Author-X-Name-Last: Yeh Title: Automatic recognition and defect compensation for calf leather Abstract: Various defects existed on the surface of calf leather could affect its usable area and the salable price. No international criterion specifies the compensatory credits for calf leather surface defects which cause additional cost between supplier and purchaser in complicated negotiation process. This paper is to develop an artificial intellectual technique to implement the automatic recognition for types of leather defect and to compensate for leather defective unusable area in order to bridge trading gap. Data of calf defects from sample is extracted to develop an automatic recognition system via artificial intellectual techniques – ANN learning process is introduced to make a sustainable automatic recognition system used to identify types of categories for upcoming leathers under inspection, business transaction; the mean error rate of recognising leather defect is less than 2.16% and the mean deviation rate for compensation area is 0.03% under this simulated transaction. Journal: Int. J. of Information Technology and Management Pages: 93-117 Issue: 2/3 Volume: 19 Year: 2020 Keywords: leather surface defects; artificial neural network; ANN; digit image processing; mean error rate of recognising leather defect; mean deviation rate for the leather area. File-URL: http://www.inderscience.com/link.php?id=106211 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:19:y:2020:i:2/3:p:93-117 Template-Type: ReDIF-Article 1.0 Author-Name: Chang-qing Zhang Author-X-Name-First: Chang-qing Author-X-Name-Last: Zhang Author-Name: Zhan-wen Liu Author-X-Name-First: Zhan-wen Author-X-Name-Last: Liu Author-Name: Zhi-gang Xu Author-X-Name-First: Zhi-gang Author-X-Name-Last: Xu Title: Fitting the power spectrum of stationary random sequence Abstract: Based on the spectral representation of zero-mean stationary process, another method of fitting the target power spectrum is obtained. The fitted random sequence is uniformly convergent with respect to the target sequence. Compared to the commonly used wave superposition method in simulating wind velocity fluctuations, its merits and deficiencies are shown. Journal: Int. J. of Information Technology and Management Pages: 118-125 Issue: 2/3 Volume: 19 Year: 2020 Keywords: turbulent wind velocity sequence; stationary process; fitted power spectrum; wave superposition method. File-URL: http://www.inderscience.com/link.php?id=106214 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:19:y:2020:i:2/3:p:118-125 Template-Type: ReDIF-Article 1.0 Author-Name: Mahak Sharma Author-X-Name-First: Mahak Author-X-Name-Last: Sharma Author-Name: Ruchita Gupta Author-X-Name-First: Ruchita Author-X-Name-Last: Gupta Author-Name: Padmanav Acharya Author-X-Name-First: Padmanav Author-X-Name-Last: Acharya Title: Factors influencing cloud computing adoption for higher educational institutes in India: a fuzzy AHP approach Abstract: Information and communication technologies (ICT) are changing the ways of imparting education, providing learning opportunities and enhancing institutional performance. Cloud computing (CC) helps in lightening the burden of massive technology investments required for improving performance. However, CC adoption in higher educational institutes in India is still in nascent phase. Therefore, the objective is to identify and rank the factors enabling CC adoption in the context. Fuzzy analytic hierarchy process (FAHP) has been applied. Time to cater IT demand, security and relative advantage are found as the most critical factors. The findings will aid other institutes in adoption decision and gain competitive advantage. Journal: Int. J. of Information Technology and Management Pages: 126-150 Issue: 2/3 Volume: 19 Year: 2020 Keywords: adoption; cloud computing; higher educational institutes; HEI; India; fuzzy analytic hierarchy processing; FAHP; critical factors. File-URL: http://www.inderscience.com/link.php?id=106215 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:19:y:2020:i:2/3:p:126-150 Template-Type: ReDIF-Article 1.0 Author-Name: Wei Huang Author-X-Name-First: Wei Author-X-Name-Last: Huang Author-Name: Xiangmo Zhao Author-X-Name-First: Xiangmo Author-X-Name-Last: Zhao Author-Name: Chao Wang Author-X-Name-First: Chao Author-X-Name-Last: Wang Title: A blind demodulation algorithm of random codes on carrier under low signal noise ratio by Morlet wavelet Abstract: This paper proposes a novel blind demodulation algorithm of random codes on carrier under low signal noise ratio (SNR) by using continuous wavelet transform. We chose Morlet wavelet with similarity and symmetry. The proposed algorithm can demodulate random codes on carrier under low SNR without any prior knowledge. Simulation results show that the bit error rate (BER) curve of the existing blind demodulation algorithms of direct sequence spread spectrum is above the theoretical BER curve of the coherent demodulation. Simulation result of new algorithm shows that BER curve of the blind demodulation of the wavelet transform is below the theoretical BER curve of coherent demodulation. The novel blind demodulation algorithm allows to obtain an 8 dB gain in SNR terms compared with that obtained by the theoretical coherent modulation when SNR is 10<SUP align="right"><SMALL>–4</SMALL></SUP>. Journal: Int. J. of Information Technology and Management Pages: 151-161 Issue: 2/3 Volume: 19 Year: 2020 Keywords: random code; signal noise ratio; SNR; bit error rate; BER; Morlet wavelet; blind demodulation. File-URL: http://www.inderscience.com/link.php?id=106216 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:19:y:2020:i:2/3:p:151-161 Template-Type: ReDIF-Article 1.0 Author-Name: Abdul Waheed Author-X-Name-First: Abdul Author-X-Name-Last: Waheed Author-Name: Miao Xiaoming Author-X-Name-First: Miao Author-X-Name-Last: Xiaoming Author-Name: Salma Waheed Author-X-Name-First: Salma Author-X-Name-Last: Waheed Author-Name: Naveed Ahmad Author-X-Name-First: Naveed Author-X-Name-Last: Ahmad Author-Name: Shang Tian-tian Author-X-Name-First: Shang Author-X-Name-Last: Tian-tian Title: E-HRM implementation, adoption and its predictors: a case of small and medium enterprises of Pakistan Abstract: The purpose of this study is to investigate the predictors of E-HRM implementation and adoption in the small medium enterprise (SMEs) in the manufacturing sector. Three main predictors including conventional HRM practices, availability of resources and employees attitude towards E-HRM were analysed. Data was collected through a questionnaire survey and 500 employees participated in this survey. Results reveal that E-HRM heavily depends on employee attitude towards E-HRM and availability of resources. Conventional HRM practices including training and development, compensation and benefits and performance appraisal also have an essential role. The readiness of implementing and adopting E-HRM practices in small and medium enterprises heavily dependent on expertise, financial and technical resources. This study will help managers to develop a strategy for effective implementation of E-HRM in small, medium enterprises (SMEs) in the manufacturing sector. Journal: Int. J. of Information Technology and Management Pages: 162-180 Issue: 2/3 Volume: 19 Year: 2020 Keywords: electronic human resource management; E-HRM; conventional HRM; small medium enterprises; SMEs; Pakistan SME's; implementation; adoption. File-URL: http://www.inderscience.com/link.php?id=106217 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:19:y:2020:i:2/3:p:162-180 Template-Type: ReDIF-Article 1.0 Author-Name: Abdul Waheed Author-X-Name-First: Abdul Author-X-Name-Last: Waheed Author-Name: Miao Xiaoming Author-X-Name-First: Miao Author-X-Name-Last: Xiaoming Author-Name: Naveed Ahmad Author-X-Name-First: Naveed Author-X-Name-Last: Ahmad Author-Name: Salma Waheed Author-X-Name-First: Salma Author-X-Name-Last: Waheed Title: Moderating effect of information technology ambidexterity linking new human resource management practices and innovation performance Abstract: This study aims to investigate the relationship between new human resource management (NHRM) practices and innovation performance. Further, the moderating role of IT ambidexterity was examined between NHRM and innovation performance. This study selected Pakistan's largest IT-based semi-government organisation National Database and Registration Authority (NADRA) as a case study. Data were collected from three major cities (Lahore, Gujranwala and Jhelum) of Pakistan. 500 employees of NADRA participated in the survey-based research. The empirical results found the positive relationship between NHRM practices and innovation performance. The moderating influence of IT ambidexterity was also found in this study. Employees with high IT ambidexterity are more involved in innovation performance. Continuous adaption of technology enhances long-term competitive advantage. Therefore, utilising new technologies and knowledge consistently is significant for the enhancement of innovation performance. Journal: Int. J. of Information Technology and Management Pages: 181-201 Issue: 2/3 Volume: 19 Year: 2020 Keywords: new HRM practices; innovation performance; IT ambidexterity; IT flexibility; IT standardisation. File-URL: http://www.inderscience.com/link.php?id=106219 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:19:y:2020:i:2/3:p:181-201 Template-Type: ReDIF-Article 1.0 Author-Name: Omar Alexánder León García Author-X-Name-First: Omar Alexánder León Author-X-Name-Last: García Author-Name: Juan Ignacio Igartua Lopez Author-X-Name-First: Juan Ignacio Igartua Author-X-Name-Last: Lopez Author-Name: Jaione Ganzarain Epelde Author-X-Name-First: Jaione Ganzarain Author-X-Name-Last: Epelde Title: Canonical correlation analysis of the impact of ICT on the diversification performance Abstract: The main objective of this study was to establish the relationship between the use of information and communication technologies (ICT) and the performance of business diversification within a sample of companies belonging to the autonomous community of the Basque country. For this, a canonical correlation analysis (CCA) was performed, taking the coefficients to explain the variance of the two sets of variables. It can be affirmed that the ICT of general use, of electronic commerce and of relationship impact in the elements that compose the performance of the diversified company. Journal: Int. J. of Information Technology and Management Pages: 202-219 Issue: 2/3 Volume: 19 Year: 2020 Keywords: ICT; diversification; performance; canonical correlation; Basque country; enterprise; companies; information technology; impact of ICT; use of ICT. File-URL: http://www.inderscience.com/link.php?id=106221 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:19:y:2020:i:2/3:p:202-219 Template-Type: ReDIF-Article 1.0 Author-Name: Ruru Hao Author-X-Name-First: Ruru Author-X-Name-Last: Hao Author-Name: Xiangmo Zhao Author-X-Name-First: Xiangmo Author-X-Name-Last: Zhao Author-Name: Lan Yang Author-X-Name-First: Lan Author-X-Name-Last: Yang Title: Simulation verification for automobile anti-lock braking system bench test principle Abstract: Anti-lock braking system (ABS) is an automobile safety system that has been designed to achieve maximum deceleration by preventing the wheels from locking up and avoiding uncontrolled skidding. In this paper, a bench-based ABS test principle was proposed, which can provide different surface adhesion coefficient dynamically for four wheels. And the simulation model consists of the vehicle model, wheel model, braking force model, and tyre-road model, was established to verify the principle. The simulation experiments on a variety of simulated road conditions are carried out. And the comparative analysis between the ABS bench detection model and ABS road test model is accomplished. The comparative analysis indicated that the simulation curves of the bench detection method and those from road test model are highly consistent in the changing trend under different braking conditions, which verified the correctness and feasibility of the proposed bench detection scheme. Journal: Int. J. of Information Technology and Management Pages: 220-239 Issue: 2/3 Volume: 19 Year: 2020 Keywords: anti-lock braking system; ABS; bench detection; modelling and simulation; comparative analysis. File-URL: http://www.inderscience.com/link.php?id=106232 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:19:y:2020:i:2/3:p:220-239 Template-Type: ReDIF-Article 1.0 Author-Name: Chao Dong Author-X-Name-First: Chao Author-X-Name-Last: Dong Author-Name: Chongchong Zhao Author-X-Name-First: Chongchong Author-X-Name-Last: Zhao Title: OBWD: an ontology and Bayesian network-based workflow design platform Abstract: Workflow management provides a great convenience for the cooperation between different roles in modern industry and business. The task reuse and design automation are challenges of workflow management currently. In this paper, an ontology SDWMO is constructed for workflow resources integration and task request release. An algorithm DOMDM is proposed to achieve the conversion of the data from traditional workflow data base to SDWMO ontology. In order to provide workflow templates for designers, we extract statistic-oriented cases from the workflow database. Based on these cases a Bayesian network is established for workflow template recommendation. We have designed OBWD platform to implement the above methods. The experimental data indicates that OBWD is statistically effective and saves a lot of time for workflow designers. Currently, OBWD has been used in space debris mitigation domain for workflow management. Moreover, our methodology can also be applied in many other domains in the future. Journal: Int. J. of Information Technology and Management Pages: 240-258 Issue: 2/3 Volume: 19 Year: 2020 Keywords: workflow; ontology; Bayesian network; JBPM. File-URL: http://www.inderscience.com/link.php?id=106234 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:19:y:2020:i:2/3:p:240-258 Template-Type: ReDIF-Article 1.0 Author-Name: Shaochun Wu Author-X-Name-First: Shaochun Author-X-Name-Last: Wu Author-Name: Qifeng Xiao Author-X-Name-First: Qifeng Author-X-Name-Last: Xiao Author-Name: Ming Gao Author-X-Name-First: Ming Author-X-Name-Last: Gao Author-Name: Guobing Zou Author-X-Name-First: Guobing Author-X-Name-Last: Zou Title: A construction and self-learning method for intelligent domain sentiment lexicon Abstract: A new method of building intelligent sentiment lexicon based on LDA and word clustering is put forward in this paper. In order to make seed words more representative and universal, this method uses LDA topic model to build the term vectors and select seed words. The improved SO-PMI algorithm has been used to calculate the emotional tendency of each sentiment word. In addition, the domain sentiment lexicon's automatic extension and update method is designed to deal with dynamic corpus data. Experiments show that the proposed method can build the sentiment lexicon with higher accuracy, and can reflect the change of words' emotional tendency in real time. It is proved in this paper that this method is more suitable for processing a large number of dynamic Chinese texts. Journal: Int. J. of Information Technology and Management Pages: 318-333 Issue: 4 Volume: 19 Year: 2020 Keywords: sentiment lexicon; SO-PMI algorithm; seed words; LDA topic model; word clustering; incremental text processing. File-URL: http://www.inderscience.com/link.php?id=110235 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:19:y:2020:i:4:p:318-333 Template-Type: ReDIF-Article 1.0 Author-Name: Wenjuan Li Author-X-Name-First: Wenjuan Author-X-Name-Last: Li Author-Name: Jian Cao Author-X-Name-First: Jian Author-X-Name-Last: Cao Author-Name: Shiyou Qian Author-X-Name-First: Shiyou Author-X-Name-Last: Qian Title: Comprehensive evaluation of cloud services based on fuzzy grey method Abstract: Cloud-based applications have become more and more popular. However, it remains a big challenge to comprehensive evaluate the reliability and performance of cloud providers and services due to the reason that Cloud is extremely dynamic and uncertain, resources distributed, virtualised, and freedom of entry and exit. The grey theory is adapted to handle the problems of blurring and uncertainty. Therefore, based on the grey relational analysis and grey comprehensive evaluation method, this paper proposes a novel trust comprehensive evaluation method for cloud services, also a comprehensive user satisfaction evaluation method for the better selection of suitable providers. In addition, it discuss in detail the construction and calculation of the evaluation model by case study. Journal: Int. J. of Information Technology and Management Pages: 280-291 Issue: 4 Volume: 19 Year: 2020 Keywords: cloud computing; grey comprehensive evaluation; GCE; trust; user satisfaction. File-URL: http://www.inderscience.com/link.php?id=110236 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:19:y:2020:i:4:p:280-291 Template-Type: ReDIF-Article 1.0 Author-Name: Jiaqiu Wang Author-X-Name-First: Jiaqiu Author-X-Name-Last: Wang Author-Name: Zhongjie Wang Author-X-Name-First: Zhongjie Author-X-Name-Last: Wang Title: Predicting service collaboration for users based on data variation patterns Abstract: Service collaboration allows the realisation of more complicated business logic by using existing services. Nowadays, users use lots of services in their daily work. For example, developers use a large number of services (e.g., Stack Overflow, Github, Blogger, etc.) to develop programs. Services are used continuously. Since most of the users' data is distributed in these different service providers, these data are separated from each other although they are correlated. If we coordinate different services based on these correlation data, we can provide users with seamless and effective support. This is very significant because it greatly increases users' productivity. However, due to the segregation of data, it is difficult to coordinate different services based on data correlation. To deal with this challenge, we propose a novel deep recurrent neural network (runs in a centralised service) to predict future services collaboration and their generated data. The network captures the correlation between different data and discovers patterns of data variation by using multiple hidden layers, which are beneficial to services collaboration prediction. Extensive experiments are conducted on the real world dataset. Experimental results show that our model significantly outperforms a few competitive baseline methods. Journal: Int. J. of Information Technology and Management Pages: 261-279 Issue: 4 Volume: 19 Year: 2020 Keywords: service collaboration prediction; correlation data; data variation; deep recurrent neural network. File-URL: http://www.inderscience.com/link.php?id=110237 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:19:y:2020:i:4:p:261-279 Template-Type: ReDIF-Article 1.0 Author-Name: Meiju Yu Author-X-Name-First: Meiju Author-X-Name-Last: Yu Author-Name: Ru Li Author-X-Name-First: Ru Author-X-Name-Last: Li Title: A caching strategy based on dynamic popularity for named data networking Abstract: Named data networking (NDN) is a prominent architecture for the future internet. In NDN, routers have the capacity of in-network cache, which can completely improve network performance. However, the cache capacity in routers is limited and how to utilise the cache resources effectively is still a great challenge. To solve the problem, this study presents a dynamic popularity caching strategy based on additive increase multiplicative decrease for NDN (DPCA). DPCA takes content popularity and caching capacity into account and it utilises AIMD algorithm to adjust the popularity threshold dynamically. At the same time, it also proposes a evict algorithm which takes the historical information of content popularity, the trend of content request and the interval from the last request time into account. The simulation results show that the DPCA strategy can effectively improve cache hit ratio, decrease network throughput and reduce the average hit distance compared with other schemes. Journal: Int. J. of Information Technology and Management Pages: 305-317 Issue: 4 Volume: 19 Year: 2020 Keywords: named data networking; NDN; caching strategy; dynamic popularity; evict algorithm. File-URL: http://www.inderscience.com/link.php?id=110238 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:19:y:2020:i:4:p:305-317 Template-Type: ReDIF-Article 1.0 Author-Name: Xian-wen Fang Author-X-Name-First: Xian-wen Author-X-Name-Last: Fang Author-Name: Juan Li Author-X-Name-First: Juan Author-X-Name-Last: Li Author-Name: Li-li Wang Author-X-Name-First: Li-li Author-X-Name-Last: Wang Author-Name: Huan Fang Author-X-Name-First: Huan Author-X-Name-Last: Fang Title: Log automaton under conditions of infrequent behaviour mining Abstract: In the existing process mining methods, infrequent behaviours are often considered as noise is ignored, but some infrequent behaviours have an important role in business process management. Firstly, the knowledge of log automaton is applied to the low-frequency log to delete infrequent behaviour in the logs; secondly, the processed logs are added into attributes. Then, the condition-dependent value of the communication characteristics of different module networks is compared with the threshold, and the effective infrequent log is retained to optimise the model. Finally, a practical case is applied, which indicates the effectiveness and validation of the proposed method. Journal: Int. J. of Information Technology and Management Pages: 292-304 Issue: 4 Volume: 19 Year: 2020 Keywords: process mining; log automaton; infrequent behaviour; conditional dependency measure. File-URL: http://www.inderscience.com/link.php?id=110239 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:19:y:2020:i:4:p:292-304 Template-Type: ReDIF-Article 1.0 Author-Name: Pengwei Wang Author-X-Name-First: Pengwei Author-X-Name-Last: Wang Author-Name: Wanjun Zhou Author-X-Name-First: Wanjun Author-X-Name-Last: Zhou Author-Name: Caihui Zhao Author-X-Name-First: Caihui Author-X-Name-Last: Zhao Author-Name: Yinghui Lei Author-X-Name-First: Yinghui Author-X-Name-Last: Lei Author-Name: Zhaohui Zhang Author-X-Name-First: Zhaohui Author-X-Name-Last: Zhang Title: A dynamic programming-based approach for cloud instance type selection and optimisation Abstract: With the advantages of cloud computing gradually highlighted, users increasingly want to deploy their applications and services on the cloud to reduce costs and obtain high computing capacity. Nowadays, cloud providers (e.g., Amazon, Microsoft) at home and abroad provide a large amount of cloud instance types optimised to fit different use cases, such as compute optimised and memory optimised. Due to the potentially large quantity of cloud instance types in the public cloud market, it is often a challenge for users to select an optimal set of cloud instance types subject to limited resource capacity. In this paper, a dynamic programming-based approach is proposed for cloud instance type selection, which can provide optimal combination of cloud instance types to users. Experiments are performed based on real-world cloud information to evaluate the proposed method. Journal: Int. J. of Information Technology and Management Pages: 358-375 Issue: 4 Volume: 19 Year: 2020 Keywords: cloud computing; cloud instance type; dynamic programming; selection; optimisation; knapsack problem. File-URL: http://www.inderscience.com/link.php?id=110240 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:19:y:2020:i:4:p:358-375 Template-Type: ReDIF-Article 1.0 Author-Name: Ke Yan Author-X-Name-First: Ke Author-X-Name-Last: Yan Author-Name: Jie Chen Author-X-Name-First: Jie Author-X-Name-Last: Chen Author-Name: Wenhao Zhu Author-X-Name-First: Wenhao Author-X-Name-Last: Zhu Author-Name: Xin Jin Author-X-Name-First: Xin Author-X-Name-Last: Jin Author-Name: Guannan Hu Author-X-Name-First: Guannan Author-X-Name-Last: Hu Title: Learning context-dependent word embeddings based on dependency parsing Abstract: Word embeddings constitute the basic methods of text representation. Whether they are the inputs to a machine learning algorithm or the features used in a natural language processing application, embeddings have proven helpful in solving various text processing tasks. In natural language texts, contextual information exerts a crucial influence on the semantics of word representations. In current research, most training models are based on shallow textual information and do not fully exploit deep relationships in sentences. To overcome this problem, this paper proposes the dependency-based continuous bag-of-words model which integrates the dependency relationships between words and sentences into the context with weights, thereby increasing the influence of specific contextual information on the prediction of target words. This method increases the abundancy of word context information and enhances the semantics of word embeddings. The experimental results show that the proposed method highlights semantic relations and improves the performance of word representations. Journal: Int. J. of Information Technology and Management Pages: 334-346 Issue: 4 Volume: 19 Year: 2020 Keywords: word embedding; context-dependent; dependency parsing; semantics. File-URL: http://www.inderscience.com/link.php?id=110241 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:19:y:2020:i:4:p:334-346 Template-Type: ReDIF-Article 1.0 Author-Name: Jun Zeng Author-X-Name-First: Jun Author-X-Name-Last: Zeng Author-Name: Xin He Author-X-Name-First: Xin Author-X-Name-Last: He Author-Name: Feng Li Author-X-Name-First: Feng Author-X-Name-Last: Li Author-Name: Yingbo Wu Author-X-Name-First: Yingbo Author-X-Name-Last: Wu Title: A recommendation algorithm for point of interest using time-based collaborative filtering Abstract: Location-based social networks (LBSNs) make it possible for people to share their visited places by uploading the check-in information. To improve the efficiency of recommendation algorithm, researchers introduce check-in data into point of interest (POI) recommendation to help users find new and interesting place. However, some researches ignore the signification of time factor for POI recommendation in LBSNs. In this paper, we propose a time-based collaborative filtering algorithm according to the similarity between users which combines the global similarity during a long period and local similarity within a short time interval. The experimental results show that the method we proposed can get more accurate recommendation. Journal: Int. J. of Information Technology and Management Pages: 347-357 Issue: 4 Volume: 19 Year: 2020 Keywords: location-based social networks; LBSN; recommendation system; point of interest recommendation; time-based collaborative filtering. File-URL: http://www.inderscience.com/link.php?id=110242 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:19:y:2020:i:4:p:347-357