Saide

 Authors: Saide Saide

Abstract: 

The productivity of worker is crucial not only for company performance but also for sustainable development. In the context of knowledge- economy firms, leadership issues and knowledge resources capabilities are likely to enhance knowledge worker productivity. The purpose of this study is to design a preliminary conceptual analysis of spiritual leadership and knowledge explorative-exploitative on knowledge worker productivity. This study adopts a systematic literature review (SLR) through searching, analysing, and selecting research studies comprising a total of 1355 research papers. The literature was searched in digital scientific libraries and big indexing systems such as Web of Science and Scopus. This research essentially contributes to providing a conceptual/theoretical model of effective knowledge explorative- exploitative in the context of knowledge workers productivity. Several enabler factors such as spiritual leadership (vision, hope/faith, altruistic), knowledge explorative (socialization and internalization), knowledge exploitative (combination and externalization), and knowledge worker productivity (job outcome, problem-solving, work scheduling) were explored and explained. The research provides beneficial knowledge and strategy for managers/leaders on ways to initiate and develop a knowledge-sharing strategy to enhance employee’seffectiveness through pursuing and maximizing leadership contributions. Multifarious constructs and theories are combined. This model further offers a new paradigm for upcoming research.
Keywords: Knowledge management; spiritual leadership; knowledge explorative- exploitative; workers productivity

Full Article: https://www.tandfonline.com/doi/full/10.1080/09537325.2021.1973665

Saide Saide. Department of Information Management, National Taiwan University of Science and Technology, Taiwan. Holds two Master's degrees from Department of Information Management, National Taiwan University of Science and Technology, Taiwan, and Department of Information System, Institute Technology of Sepuluh Nopember (ITS Surabaya), Indonesia. He obtained a bachelor's in Information Systems in Indonesia. He was a visiting scholar at Tampere University, Tampere, Finland in September–October 2019. His research interests include knowledge management (KM), information system/technology (IS/IT), and IS/IT-marketing/business strategy. He has authored numerous articles published in SSCI/SCI/SCIE indexed journals such as Journal of Enterprise Information Management, Journal of Business Research, Big Data, EuroMed Journal of Business, Technology Analysis & Strategic Management, and IEEE Transactions on Engineering Management; including other journals such as International Journal of Innovation Management, Journal of Science and Technology Policy Management, and International Journal of Business and Society.

Authors: Saide Saide and Jing Li

Abstract: 

Purpose – Business process management (BPM) has been discussed in much literature as a crucial approach to achieve firm-enterprise business performance, however in term of digital business transformation to face the current digital enterprise business era, there is still much to be explored. Drawing sociotechnical perspective of ETHICS theory, the study develops and conceptualize information technologies/systems (IT/IS) proactive capability and socialization-codification knowledge process that produce business transformation process in digital-based era. 

Design/methodology/approach – Of the 173 company-enterprise respondents in Indonesia, the authors empirically test and validate the conceptual model using structural equation model tool-SmartPLS and SPSS statistical. The enterprise respondents were manufactures industry, construction services, hardware and software, plantation and agriculture, financial and insurance services, and other retail trade. 

Findings – The authors found different findings of mediating effect and direct relationship effect. Socialization knowledge process has directly influence IT/IS proactive capability and enterprise digital business transformation. Codification knowledge process has successfully support IT/IS proactive capability, but unsupported correlation on enterprise digital business transformation. Also, IT/IS proactive capability positively influence enterprise digital business transformation. Enterprise business process suffers when the firm transform their business process into digital-based only using codification knowledge practices because documented knowledge (codification type) is not strong enough to help company in the way of enterprise digital business transformation. Mediating role show IT/IS proactive capability is crucial approach for enterprise business transformation to maximize codification knowledge practices. The findings present one fully supported results of mediation role through IT/IS proactive capability. A stronger support for enterprise IT/IS strategy in company, a high opportunity for codification knowledge practices to improve the digital ways to transform the enterprise business process. In short, the results can guide enterprise managers on how to manage their knowledge resources and maximizing emerging technologies to achieve enterprise digital business transformation.

Research limitations/implications – The authors acknowledged that future studies would be worthwhile to create, develop and strengthen the model and its related foundation. Future research may try different concept/theory that applicable in enterprise digital business transformation. Also, an opportunity for future study is how enterprise digital business transformation in different context of industries with the current emerging technologies (e.g. IoT, big data, AI). 

Originality/value – This study offers a theoretical and conceptual framework to the applicable digital-based within enterprise business transformation context. A knowledge/novel contribution of this study is the integration of a sociotechnical that highly relevant and drives enterprise digital business transformation. This study also is an effort to combine some areas such as business transformation strategy, knowledge-intensive business services, knowledge management and IT/IS. 

Keywords: Digital enterprise business transformation, Socialization knowledge, Codification knowledge, IT/IS proactive Capability, Knowledge management, Technology-knowledge perspective 

Paper type: Research paper

Full article: https://www.emerald.com/insight/content/doi/10.1108/JEIM-08-2020-0344/full/html 

Saide Saide. Department of Information Management, National Taiwan University of Science and Technology, Taiwan. Holds two Master's degrees from Department of Information Management, National Taiwan University of Science and Technology, Taiwan, and Department of Information System, Institute Technology of Sepuluh Nopember (ITS Surabaya), Indonesia. He obtained a bachelor's in Information Systems in Indonesia. He was a visiting scholar at Tampere University, Tampere, Finland in September–October 2019. His research interests include knowledge management (KM), information system/technology (IS/IT), and IS/IT-marketing/business strategy. He has authored numerous articles published in SSCI/SCI/SCIE indexed journals such as Journal of Enterprise Information Management, Journal of Business Research, Big Data, EuroMed Journal of Business, Technology Analysis & Strategic Management, and IEEE Transactions on Engineering Management; including other journals such as International Journal of Innovation Management, Journal of Science and Technology Policy Management, and International Journal of Business and Society.

Authors: Saide Saide

Abstract: 

In the context of the survivability of a firm’s supply chain during the worldwide COVID-19 crisis, there is still much to be explored. This study employs the viable system model to conceptualize the virtual enterprise, big data, and knowledge ambidexterity capability that can facilitate supply chain survivability. Empirical data have been collected from various industries in Indonesia (the largest labor force in Southeast Asia). SEM-SmartPLS and SPSS were used to validate the model. The results suggest that firms need to realize that the explorative and exploitative of knowledge have different effects and are integrated in different ways into the survivability of a supply chain. The findings also revealed two roles for mediation, whereby revolutionizing the explorative of knowledge and the analytics of big data through virtual enterprise are crucial strategies to achieves the survivability of the supply chain. A novel value added is the inclusion of a systems-environment perspective and knowledge-technology matrix, especially in times of crisis.

Keywords: Survivability, Supply chain, Virtual enterprise, Knowledge ambidexterity capability, Knowledge-technology matrix, Viable system model, Big data, Crisis.

Full article: https://www.sciencedirect.com/science/article/abs/pii/S0148296321006020?via%3Dihub

Saide Saide. Department of Information Management, National Taiwan University of Science and Technology, Taiwan. Holds two Master's degrees from Department of Information Management, National Taiwan University of Science and Technology, Taiwan, and Department of Information System, Institute Technology of Sepuluh Nopember (ITS Surabaya), Indonesia. He obtained a bachelor's in Information Systems in Indonesia. He also Lecturer at Information System, Universitas Islam Negeri Sultan Syarif Kasim Riau, Indonesia. He was a visiting scholar at Tampere University, Tampere, Finland in September–October 2019. His research interests include knowledge management (KM), information system/technology (IS/IT), and IS/IT-marketing/business strategy. He has authored numerous articles published in SSCI/SCI/SCIE indexed journals such as Journal of Enterprise Information Management, Big Data, Technology Analysis & Strategic Management, and IEEE Transactions on Engineering Management; including other journals such as International Journal of Innovation Management, Journal of Science and Technology Policy Management, and International Journal of Business and Society.

Authors: Saide Saide (correspondences), Meng Miao

Abstract:

This article aims to align business strategy and knowledge creation in banking industry through knowledge management (KM) approach by maximizing the tangible and intangible resources. Prior study offered more general context of KM approach while misplaced and less discussed practical process of knowledge sharing practices in the context of banking industry. We developed research model by focusing on banking organization, especially in a developing country. The authors use literature review and document analysis of business strategy in bank. This article integrated and analyzed knowledge gap and business strategy to develop a comprehensive approach for banking company. The gap between what a bank knows and needs to know is an internal knowledge gap, in a sense representing the strengths and weaknesses of a “the alignment between knowledge–business” analysis. The gap between what they know and what its competitors know is an external knowledge gap. It represents the opportunities and threats of a knowledge–business analysis. In addition, there is still no specific team, department, and strategy to manage knowledge assets. The results of this research may help finance companies and managers to initiate KM or to encourage knowledge sharing in banking organization. Therefore, managerial level is supposed to develop a strategy and regulation to encourage employee's participation in knowledge transfer schema. We combined numerous methods and theories namely Zack and Nonaka models as tools to solve the obstacle of alignment between business-knowledge strategic gap and knowledge sharing schema.

Full article: https://ieeexplore.ieee.org/document/9442366

Saide Saide received the bachelor’s degree with the Department of Information System, Faculty of Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau, Indonesia, in 2013, the master’s degree from the Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, in 2016, and the master’s degree from the Departmentof Information System, Sepuluh Nopember Instituteof Technology (ITS Surabaya), Surabaya, Indonesia, in 2016, all in information systems and knowledge management.
He is currently a Lecturer with the Department of Information System, Facultyof Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau- UIN SUSKA Riau. He was a Visiting Scholar and Research Collaboration withTampere University, Finland, a Researcher with the Department of Information Management, National Taiwan University of Science and Technology, a Project Management with EnReach - Energy Research Center, UIN SUSKA Riau, Indonesia. He has authored numerous articles published in SSCI/SCI journals such as Big Data, Technology Analysis & Strategic Management, IEEE Transactions on Engineering Management, and Journal of Enterprise Information Management, International Journal of Innovation Management, Journal of Science and Technology Policy Management, and International Journal of Business and Society. His research interests include knowledge management, information system, and IT-business strategy.

Meng Miao received the bachelor’s degree in electronics telecommunication from Department of Electronic Engineering, University of Tsinghua, China, in 2007, and the M.Sc. and Ph.D. degrees in financial economics from Saïd Business School, University of Oxford, U.K., in 2008 and 2015, respectively. He is currently an Assistant Professor with Hanqing Advance Institute of Economics and Finance, Renmin University, Beijing, China. He has authored/coauthored articles in some finance journals. His research interests include corporate finance, technology, and innovation.

Authors: Idria Maita, Saide Saide (correspondences), Yelia Gusti Putri, Megawati Megawati, & Medyantiwi Rahmawita Munzir

Abstract:

The aim of this study is to examine the dimensions (e.g., facilitating conditions (FC), performance expectancy (PE), effort expectancy (EE) and social influence (SI)) that influence behavioural intentions in financial institution in Indonesia. This research explores both the practical and theoretical basis of these paradigms. Studying the literature explores a theoretical existence of related context preceding the user behaviors. In addition, SPSS was used to measure demographic and generate descriptive statistics. Overall, the results demonstrate that behavioural intention (BI) was significantly influenced by FC, while PE and SI were marginally supported, and EE was not significant. It is acknowledged that FC is important incentives to necessitate action of user behavioural. The findings of this study may help institution and financial department to initiate new strategies such as integrating the dimensions of user experience on information system based on various indicators of this study. Additionally, to maximize the usage of information system, the institution can implement training for the employee concerning how to use the system. Further research may extend the focus to multiple organisations, cultures, and countries. This research is useful for institutions and academics as the comparative and intersecting explanation of enhancing user’s usage of information system in Indonesia. 

Full article: https://www.tandfonline.com/doi/abs/10.1080/09537325.2021.1915474

Saide Saide received the bachelor’s degree with the Department of Information System, Faculty of Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau, Indonesia, in 2013, the master’s degree from the Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, in 2016, and the master’s degree from the Departmentof Information System, Sepuluh Nopember Instituteof Technology (ITS Surabaya), Surabaya, Indonesia, in 2016, all in information systems and knowledge management.
He is currently a Lecturer with the Department of Information System, Facultyof Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau- UIN SUSKA Riau. He was a Visiting Scholar and Research Collaboration withTampere University, Finland, a Researcher with the Department of Information Management, National Taiwan University of Science and Technology, a Project Management with EnReach - Energy Research Center, UIN SUSKA Riau, Indonesia. He has authored numerous articles published in SSCI/SCI journals such as Big Data, Technology Analysis & Strategic Management, IEEE Transactions on Engineering Management, and Journal of Enterprise Information Management, International Journal of Innovation Management, Journal of Science and Technology Policy Management, and International Journal of Business and Society. His research interests include knowledge management, information system, and IT-business strategy.

Authors: Saide Saide, Margaret L Sheng

Abstract:

While recent debate recognizes the importance of big data (BD) and knowledge management (KM) in firm performance, there has been a paucity of literature regarding big data analytics technological (BDAT) and knowledge exploration–exploitation capabilities (KEEC) in the context of business process innovation (BPI). This study aims to identify whether BD and KM can be established in these emerging issues. We used a survey questionnaire to collect data from various firms and industries. We used structural equation modeling (SmartPLS and SPSS) to validate the research model with a sample of 155 companies in a developing country such as Indonesia. The result demonstrates a positive relationship between KEEC and BPI, followed by several significant findings such as BDAT with KEEC; KEEC on big data knowledge management (BDKM); BDKM and BPI; and BDAT on BDKM. In contrast, BDAT is nonsignificant for direct relationship on BPI, and interestingly, it becomes a significant result after mediated by BDKM. Similarly, BDKM has successfully mediated the relationship between KEEC and BPI. The management level ideally develops and increases such a knowledge creation/acquisition practices and BDAT in an organization to gain more meaningful benefits from these two capabilities. BDAT, KEEC, and BDKM simultaneously are a clear antecedent approach, which ultimately results in flexibility, effectiveness, and effectivity of BPI. The cases of this research are profit firms in a developing country such as Indonesia. A future study could be considered in different settings such as type of industries or more specific company's type, the economy level of countries (comparing between developed and developing countries), and environmental dynamical. A novel field of study is the inclusion of knowledge exploration-exploitation and BDAT that drives BPI.

Full article: https://pubmed.ncbi.nlm.nih.gov/33216653/

Saide Saide received the bachelor’s degree with the Department of Information System, Faculty of Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau, Indonesia, in 2013, the master’s degree from the Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, in 2016, and the master’s degree from the Departmentof Information System, Sepuluh Nopember Instituteof Technology (ITS Surabaya), Surabaya, Indonesia, in 2016, all in information systems and knowledge management. He is currently a Lecturer with the Department of Information System, Facultyof Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau - UIN SUSKA Riau. He was a Visiting Scholar and Research Collaboration withTampere University, Finland, a Researcher with the Department of Information Management, National Taiwan University of Science and Technology, a Project Management with EnReach - Energy Research Center, UIN SUSKA Riau, Indonesia. He has authored numerous articles published in SSCI/SCI journals such as Big Data, Technology Analysis & Strategic Management, IEEE Transactions on Engineering Management, and Journal of Enterprise Information Management, International Journal of Innovation Management, Journal of Science and Technology Policy Management, and International Journal of Business and Society. His research interests include knowledge management, information system, and IT-business strategy.

Authors: Saide Saide, Margaret L Sheng

Abstract: 

Education institution closure is considered as an effective way to prevent coronavirus (COVID-19) pandemic. However, there are several challenges concerning teaching and learning activities (knowledge transfer) in crisis times such a COVID-19. This study aims to provide a holistic view of knowledge transfer and information technology scenario in the education sector during COVID-19 or another uncertain environment. A systematic literature review was conducted by several search techniques such as study selection, synthesis of papers, and reporting the results. A total of 290 peer-reviewed research studies were carried out. These articles were filtered, and 51 relevant articles were selected. The study mainly contributes by illustrating the schema or scenario of effective knowledge transfer of the teaching–learning process in the context of coronavirus crisis through maximising the information technology (IT) tools and knowledge management (KM) approach. Several factors namely IT tools of remote and online learning, knowledge exploration–exploitation, education’s knowledge types (tacit-explicit knowledge), and internal–external knowledge in education were identified. The study further provides the new paradigm for future study. Additionally, several concepts and theories were merged, namely SECI theory and ambidexterity view (knowledge exploration and knowledge exploitation). Future studies may extend the research area to different types of organisations and extend this model into empirical tests.

Full article: https://www.tandfonline.com/doi/full/10.1080/09537325.2020.1854714

Saide Saide received the bachelor’s degree with the Department of Information System, Faculty of Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau, Indonesia, in 2013, the master’s degree from the Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, in 2016, and the master’s degree from the Departmentof Information System, Sepuluh Nopember Instituteof Technology (ITS Surabaya), Surabaya, Indonesia, in 2016, all in information systems and knowledge management. He is currently a Lecturer with the Department of Information System, Facultyof Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau - UIN SUSKA Riau. He was a Visiting Scholar and Research Collaboration withTampere University, Finland, a Researcher with the Department of Information Management, National Taiwan University of Science and Technology, a Project Management with EnReach - Energy Research Center, UIN SUSKA Riau, Indonesia. He has authored numerous articles published in SSCI/SCI journals such as Big Data, Technology Analysis & Strategic Management, IEEE Transactions on Engineering Management, and Journal of Enterprise Information Management, International Journal of Innovation Management, Journal of Science and Technology Policy Management, and International Journal of Business and Society. His research interests include knowledge management, information system, and IT-business strategy.

Authors: SAIDE SAIDE, DIDI MUWARDI, RICHARDUS EKO INDRAJIT 

Abstract:

Purpose: The aim of this research paper is to examine the relationships between intangible assets, employee’s performance, and job satisfaction (JS) with structural model. The research explores both the practical and theoretical basis of these paradigms on organisation performance. This research also aims to identify whether a relation can be established between these aspects in the context of non-profit organisation performance in Indonesia. Design/methodology/approach: Reviewing the literature explores a theoretical existence of related context preceding the organisational performance. The authors used structural equation modelling to check the research prototype with a sample of 121 respondents. The respondents were heads of departments and general employees. In addition, SPSS was used to measure demographic, non-response bias, and generate descriptive statistics. Findings: Overall, the results demonstrate that organisation with a higher level of intellectual capital (IC), employee performance (EP), and job performance (JP) are important predictors of organisational performance in this sample. Similarly, JS and IC predicted EP. It is acknowledged that emotional intelligence such as satisfaction and dissatisfaction are important incentives to necessitate action tendencies. Research limitations/implications: This research is focused on organisations. Further research may extend the focus to different types of organisations and countries. Practical implications: The findings of this study may help institutions and HR departments to initiate new strategies such as integrating the traditional company performance measurement systems based on various indicators of this study. These factors succeed in providing an effective representation of a set of intangible assets that are developed by the company and that contribute to the improvement of company’s performance. Additionally, to maximise IC assets, the company can implement knowledge sharing practices among employees and experts as well. Original value/knowledge contribution: This research is useful for organisations and academics as a reference of the comparative and intersecting explanation of enhancing organisational performance. Moreover, various main concepts/theories are combined, namely, IC, JS, and employee’s performance to solve the obstacles of organisation performance.

Full article: https://www.worldscientific.com/doi/abs/10.1142/S1363919621500092

Saide Saide received the bachelor’s degree with the Department of Information System, Faculty of Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau, Indonesia, in 2013, the master’s degree from the Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, in 2016, and the master’s degree from the Departmentof Information System, Sepuluh Nopember Instituteof Technology (ITS Surabaya), Surabaya, Indonesia, in 2016, all in information systems and knowledge management. He is currently a Lecturer with the Department of Information System, Facultyof Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau - UIN SUSKA Riau. He was a Visiting Scholar and Research Collaboration withTampere University, Finland, a Researcher with the Department of Information Management, National Taiwan University of Science and Technology, a Project Management with EnReach - Energy Research Center, UIN SUSKA Riau, Indonesia. He has authored numerous articles published in SSCI/SCI journals such as Big Data, Technology Analysis & Strategic Management, IEEE Transactions on Engineering Management, and Journal of Enterprise Information Management, International Journal of Innovation Management, Journal of Science and Technology Policy Management, and International Journal of Business and Society. His research interests include knowledge management, information system, and IT-business strategy.

Authors: Fauzan Asrin, Saide Saide

Abstract: 

The aim of this research paper is to construct a set of guidelines that can improve the quality and efficiency of knowledge data discovery process by utilizing various types of knowledge domains. In addition, this paper offered the way of how the knowledge domain could be adopted for helping the system developer. The methodologies contain various scenarios of data exploring and the authors used data mining approach. The paper shows evidence of important to adopt data mining methods in the industry sector as well as the advantages and disadvantages. Evergreen human machine interface (HMI) at PT. Chevron Pacific Indonesia (CPI) is kind of activities to maintenance computer equipment. Nowadays, the errors were frequently happened in the accuracy of computer maintenance which has a profound effect on production results. Therefore, this study focuses on the rules of association using the frequent pattern growth algorithm (FP-growth) which is producing knowledge with trust value of 100% and a support value is 95%. The value results of support and confidence are the new approach and knowledge for the management level to decide decisions in the evergreen activities process.

Full article: https://link.springer.com/chapter/10.1007/978-3-030-51156-2_93

Saide Saide received the bachelor’s degree with the Department of Information System, Faculty of Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau, Indonesia, in 2013, the master’s degree from the Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, in 2016, and the master’s degree from the Departmentof Information System, Sepuluh Nopember Instituteof Technology (ITS Surabaya), Surabaya, Indonesia, in 2016, all in information systems and knowledge management. He is currently a Lecturer with the Department of Information System, Facultyof Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau - UIN SUSKA Riau. He was a Visiting Scholar and Research Collaboration withTampere University, Finland, a Researcher with the Department of Information Management, National Taiwan University of Science and Technology, a Project Management with EnReach - Energy Research Center, UIN SUSKA Riau, Indonesia. He has authored numerous articles published in SSCI/SCI journals such as Big Data, Technology Analysis & Strategic Management, IEEE Transactions on Engineering Management, and Journal of Enterprise Information Management, International Journal of Innovation Management, Journal of Science and Technology Policy Management, and International Journal of Business and Society. His research interests include knowledge management, information system, and IT-business strategy.

Authors: Nesdi Evrilyan Rozanda, Saide Saide, Zulrahmadi Zulrahmadi

Abstract:

Core-competence is allowing university to be creative and adaptable on their student's capabilities by mapping their student's research focus. In order to be successful of core-competences goals, department strategy, student, and lecturer are crucial role in that process. However, previous study offered more general contexts and cases of competence mapping approach while less or misplaced discussed more technical process in higher education environment. Therefore, to fill out the research gap, this research examines whether and why competence mapping can help university to prepare their graduations candidate. We evaluated two core-competences which are information system management and information system engineering by checking several main construct such as information technology quality management, knowledge management, and information technology risk management. The data collected from students in department of information system, state islamic university of sulthan syarif kasim Riau, Indonesia. The results from our analysis support that students who focused on information system management (ISM) focus were 37.8%, and in information system engineering (ISE) were 2.7%, and students who taken both ISM and ISE were 59.5 %. Regarding the result, the authors concluded that students more prefer to take more or combining two fields (ISM and ISE). More theoretical and practical implications are discussed.

Full article: https://ieeexplore.ieee.org/abstract/document/9066410

Saide Saide received the bachelor’s degree with the Department of Information System, Faculty of Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau, Indonesia, in 2013, the master’s degree from the Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, in 2016, and the master’s degree from the Departmentof Information System, Sepuluh Nopember Instituteof Technology (ITS Surabaya), Surabaya, Indonesia, in 2016, all in information systems and knowledge management. He is currently a Lecturer with the Department of Information System, Facultyof Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau - UIN SUSKA Riau. He was a Visiting Scholar and Research Collaboration withTampere University, Finland, a Researcher with the Department of Information Management, National Taiwan University of Science and Technology, a Project Management with EnReach - Energy Research Center, UIN SUSKA Riau, Indonesia. He has authored numerous articles published in SSCI/SCI journals such as Big Data, Technology Analysis & Strategic Management, IEEE Transactions on Engineering Management, and Journal of Enterprise Information Management, International Journal of Innovation Management, Journal of Science and Technology Policy Management, and International Journal of Business and Society. His research interests include knowledge management, information system, and IT-business strategy.

Authors: Saide Saide, Astuti Endang Siti, Indrajit Richardus Eko, Trialih Rahmat, Diniaty Amirah, Dewi Fitriyana, Herzavina Herzavina

Abstract: 

Full article: https://www.emerald.com/insight/content/doi/10.1108/JSTPM-06-2018-0056/full/html

Saide Saide received the bachelor’s degree with the Department of Information System, Faculty of Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau, Indonesia, in 2013, the master’s degree from the Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, in 2016, and the master’s degree from the Departmentof Information System, Sepuluh Nopember Instituteof Technology (ITS Surabaya), Surabaya, Indonesia, in 2016, all in information systems and knowledge management. He is currently a Lecturer with the Department of Information System, Facultyof Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau - UIN SUSKA Riau. He was a Visiting Scholar and Research Collaboration withTampere University, Finland, a Researcher with the Department of Information Management, National Taiwan University of Science and Technology, a Project Management with EnReach - Energy Research Center, UIN SUSKA Riau, Indonesia. He has authored numerous articles published in SSCI/SCI journals such as Big Data, Technology Analysis & Strategic Management, IEEE Transactions on Engineering Management, and Journal of Enterprise Information Management, International Journal of Innovation Management, Journal of Science and Technology Policy Management, and International Journal of Business and Society. His research interests include knowledge management, information system, and IT-business strategy.

Authors: Saide Saide, Eko Indrajit Richardus, Trialih Rahmat, Najamuddin Najamuddin

Abstract: 

Full article: https://www.emerald.com/insight/content/doi/10.1108/JSTPM-06-2018-0067/full/html 

Saide Saide received the bachelor’s degree with the Department of Information System, Faculty of Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau, Indonesia, in 2013, the master’s degree from the Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, in 2016, and the master’s degree from the Departmentof Information System, Sepuluh Nopember Instituteof Technology (ITS Surabaya), Surabaya, Indonesia, in 2016, all in information systems and knowledge management. He is currently a Lecturer with the Department of Information System, Facultyof Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau - UIN SUSKA Riau. He was a Visiting Scholar and Research Collaboration withTampere University, Finland, a Researcher with the Department of Information Management, National Taiwan University of Science and Technology, a Project Management with EnReach - Energy Research Center, UIN SUSKA Riau, Indonesia. He has authored numerous articles published in SSCI/SCI journals such as Big Data, Technology Analysis & Strategic Management, IEEE Transactions on Engineering Management, and Journal of Enterprise Information Management, International Journal of Innovation Management, Journal of Science and Technology Policy Management, and International Journal of Business and Society. His research interests include knowledge management, information system, and IT-business strategy.

Authors: Saide Saide, Zhaohan Ding, Endang Siti Astuti, Didi Muwardi, Najamuddin Najamuddin, Mutiara Jannati, Herzavina Herzavina

Abstract: 

Since previous study offered a more general context of the IT acceptance model, here we place specific emphasis on the library context. Our study examines whether and why the Technology Acceptance Model (T.A.M.) can be used in a multi-purpose system (M.P.S.) in a university. The M.P.S. is a system for users to borrow, return and renew books on loan. The variables in this study were modified, such as Perceived Usefulness (P.U.) and Perceived Ease of Use (P.E.O.U.) as independent variables and acceptance of IT as a dependent variable. The sampling technique used was proportionate stratified random, using 98 students of the Faculty of Teacher Training and Education who have implemented the M.P.S. system. Data processing techniques used multiple linear regression analysis with the SPSS data processing tool. The results showed that usefulness and ease of use have significantly positive effect on the M.P.S. acceptance model. The research focused on a university context in single province in Indonesia. Further research may extend the study with a focus on profit or non-profit organisations and different geographical areas.

Full article: https://www.tandfonline.com/doi/abs/10.1080/1331677X.2019.1635898

Saide Saide received the bachelor’s degree with the Department of Information System, Faculty of Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau, Indonesia, in 2013, the master’s degree from the Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, in 2016, and the master’s degree from the Departmentof Information System, Sepuluh Nopember Instituteof Technology (ITS Surabaya), Surabaya, Indonesia, in 2016, all in information systems and knowledge management. He is currently a Lecturer with the Department of Information System, Facultyof Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau - UIN SUSKA Riau. He was a Visiting Scholar and Research Collaboration withTampere University, Finland, a Researcher with the Department of Information Management, National Taiwan University of Science and Technology, a Project Management with EnReach - Energy Research Center, UIN SUSKA Riau, Indonesia. He has authored numerous articles published in SSCI/SCI journals such as Big Data, Technology Analysis & Strategic Management, IEEE Transactions on Engineering Management, and Journal of Enterprise Information Management, International Journal of Innovation Management, Journal of Science and Technology Policy Management, and International Journal of Business and Society. His research interests include knowledge management, information system, and IT-business strategy.

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Tools and Software

General network and graph analysis and visualization  

• You might find this Wikipedia list of social network analysis software useful. 
• AGNA. free Java-based software for SNA, sociometry and sequential analysis. Its name stands for Applied Graph and Network Analysis.
• CFinder. A is a free software for finding and visualizing overlapping dense groups of nodes in networks, based on the Clique Percolation Method (CPM). 
• Cytoscape. A free Java-based open-source software that although originally designed for bioinformatics research, now it is a general platform for complex network analysis and visualization. Cytoscape core distribution provides a basic set of features for data integration and visualization. Additional features are available as plugins.
• GeoVIZ. A free toolkit for systematic analysis of spatial, temporal, and attribute data sets. It allows analysts to discover previously hidden patterns in data, moving from spatial patterns to statistical patterns and back again by mixing and matching data visualization components to quickly construct custom analysis tools. It provides a large selection of mapping and statistical graphing components for depicting univariate and multivariate data in dynamically linked views.
• Gephi. A free open-source interactive visualization and exploration platform for all kinds of networks and complex systems, dynamic and hierarchical graphs.
• Graphviz. A free open-source graph visualization software. Its main applications are networking, bioinformatics,  software engineering, database and web design, machine learning, and in visual interfaces for other technical domains. It takes descriptions of graphs in a simple text language, and make diagrams in useful formats, such as images and SVG for web pages, PDF or Postscript for inclusion in other documents; or display in an interactive graph browser.
• GUESS. An free exploratory data analysis and visualization tool for graphs and networks. It can import standard formats (Pajek, GML) and export a wide variety of image types (GIF, PNG, EPS, PDF, JPG, SVG...). Because it is Jython/Java-based, users can also construct your own applications and applets without much coding.
• igraph. A free software package for creating and manipulating undirected and directed graphs. It includes implementations for classic graph theory and also implements algorithms for some recent network analysis methods, like community structure search.
• KeyPlayer. A free software  for identifying an optimal set of nodes in a network for one of two basic purposes: (a) crippling the network by removing key nodes, and (b) selecting which nodes to either keep under surveillance or to try to influence via some kind of intervention. Written by Steve Borgatti.
• InFlow. commercial software for Social Network Analysis & Organizational Network Analysis.
• MapEquation. Free algorithm and software for detecting communities in large networks.
• Multinet. A free data analysis package that can be used for ordinary data (in which you have a file that has one line of data for each case) and for network data (in which there are two files -- the "node" file describes the individuals and the "link" file describes the connections between individuals). [It hasn't been updated for a long time].
• NetDraw. A free program written by Steve Borgatti for visualizing both 1-mode and 2-mode social network data. It can read UCINET system files, UCINET DL files, Pajek files, and its own VNA format. It exports networks as a metafile, jpg, gif and bitmap formats.
• NetMiner. A commercial software tool for exploratory analysis and visualization of Network Data. It has 73 kinds of SNA modules and 23 kinds of visualization modules.
• NetworkX. A  free Python-based open-source software for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. 
• NodeXL. A free, open-source template for MS Excel to draw graphs and networks. Networks can be imported from and exported to a variety of file formats (e.g. GraphML, UCINet, Pajek, and matrix), and built-in connections for getting networks from Twitter, Flickr, YouTube, and your local email are provided. You can learn how to use it by reading the book by Hansen et al. (2010).
• Pajek. A free Python-based open-source software for large networks analysis of visualization. It is probably the most popular network analysis software and largely used by experts in scientometrics. You can learn how to use it by reading the book by de Nooy et al. (2011).
• prefuse. A free Java-based set of software tools for creating rich interactive data visualizations. Some of its features are Table, Graph, and Tree data structures supporting arbitrary data attributes, data indexing, and selection queries, and animation support.
• Smart Local Moving (SLM) algorithm: A free Java-based open-source algorithm (implemented in Modularity Optimizer) for community detection (or clustering) in large networks. It maximizes a so-called modularity function and it has been successfully applied to networks with tens of millions of nodes and hundreds of millions of edges. You can read its paper here.
• SNA package for R. A free range of tools for social network analysis with R, including node and graph-level indices, structural distance and covariance methods, structural equivalence detection, network regression, random graph generation, and 2D/3D network visualization.
• SoNIA. or Social Network Image Animator is a free open-source Java-based package for visualizing dynamic or longitudinal network data.
• StOCNET. free open-source software for advanced statistical analysis (based on probability model) of social networks.
• Tulip. A free information visualization framework written by C++ dedicated to the analysis and visualization of relational data.
• UCINet. A commercial social network analysis program developed by Steve Borgatti and colleagues and distributed by Analytic Technologies. UCINET works in tandem with freeware program called NetDraw for visualizing networks. NetDraw is installed automatically with UCINet.
• Visone. free software for analysis and visualization of social network data.

 Scientometric and bibliometric analysis 

• You might also find this Wikipedia comparison of research networking tools and research profiling systems useful.  
• Bibexcel. Free software designed by Olle Persson to assist a user in analyzing bibliographic data, or any data of a textual nature formatted in a similar manner. The idea is to generate data files that can be imported to Excel or any program that takes tabbed data records, for further processing. It can be used for co-citation, bibliographic coupling, mapping and clustering analysis.
• Bibliometrix R package. A free tool that provides various routines for importing bibliographic data from SCOPUS and Clarivate Analytics' Web of Science databases, performing bibliometric analysis and building data matrices for co-citation, coupling, scientific collaboration analysis and co-word analysis.
• BiblioTool. It is a set of python scripts (open source) written by Sebastian Grauwin. They can read ISI data in CSV format and do some analyses including co-occurrence map and bibliographic coupling.
• CiteSpace. A free Java-based software for visualizing and analyzing trends and patterns in the scientific literature. It is designed as a tool for progressive knowledge domain visualization. Its primary source of input data is ISI WoS. But it also provides some simple interfaces for obtaining data from PubMed, arXiv, ADS, and NSF Award Abstracts. It can be used to generate geographic map overlays viewable in Google Earth based on the locations of authors.
• CitNetExplorer. A free Java-based software tool developed by Uni of Leiden for visualizing and analyzing citation networks of scientific publications. It allows citation networks to be imported directly from the Web of Science database. Citation networks can be explored interactively, for instance by drilling down into a network and by identifying clusters of closely related publications. 
• CopalRed. (obsoleted) A free program written by Xavier Polanco for the analysis of scholarly publications and scientometric purposes for example for analysing and visualizing the network structure of a scientific field.
• CRExplorer. Or Cited Reference Explorer is a free Java-based program that was primarily developed to identify those publications in a field, a topic or by a researcher which have been frequently cited. It is especially suitable to study the historical roots of this field, topic or researcher.
• InCite Retrieve: a set of Python codes for retrieving journal impact factor values from InCite API.
• InterDisciplinary Research (IDR). It's a free tool to measure and map interdisciplinary research. It creates overlay maps of science, as a method to explore the degree of interdisciplinarity of a set of publications. 
• IN-SPIRE. A commercial software for exploring and visualizing textual data, including Boolean and “topical” queries, term gisting, and time/trend analysis tools. It can be used to explore technical and patent literature, marketing and business documents, web data, accident and safety reports, newswire feeds and message traffic, and more.
• Headstart. A free open-source software to visualize readership data from Mendeley. It presents users with the main areas in the field and lets them zoom into the most important publications within each area. It is intended to give researchers that are new to a field a head start on their literature review (hence the name). It has been developed by P. Kraker.
• HistCite. (obsoleted) free software developed by E. Garfield to aid researchers in visualizing the results of literature searches in the Web of Science. It lets you analyze and organize the results of a search to obtain various views of the topic's structure, history, and relationships. It visualizes the citation network in a historical manner.
• Loet Leydesdorff. A set of free DOS-based pieces of software to parse, transform and analyse bibliometrics data obtained from sources such as Scopus, ISI, and Google Scholar for analyses such as coauthorship, international, institutional, inter-city collaboration networks, co-word, co-citation and bibliographic analysis and so on. Although they do not include visualization tools, they prepare the data for the creation of relational databases and visualization by other tools such as Pajek. ISI.exe reads ISI data in txt format and generates files suitable for creating a relational database.
• Network Workbench. A free Java-based large-scale network analysis, modelling and visualization toolkit for biomedical, social science and physics research. It includes specific features for bibliometric studies.
• Publish or Perish. A free software program that retrieves and analyzes academic citations Google Scholar and calculates No of papers, citations, average No. of citations per paper and per author and per year as well as h-index, g-index, and some more metrics.
• SAINT: (obsoleted) (Science Assessment Integrated Network Toolkit). It is open-source software for scientometrics analysis and one of the few packages that can be used to convert ISI data into a relational database (dbm or accdb or sql files). There is a forum to discuss the issues related to SAINT. The software is not available on its original website anymore.
• ScientoPY, a free open source scientometric software. You can read about it in this paper. 
• SciMAT. SciMAT (Science Mapping Anaylsis Tool) is a java-based open source (GPLv3) free software tool developed to perform a science mapping analysis under a longitudinal framework. SciMAT reads bibliographic data in different formats and creates a relational database in Sqlite 3 format and allows you to do different analyses. The advantage is that you can amend the data in the knowledgebase as you wish.
• Sci² Tool. A free Java-based modular toolset specifically designed for the study of science. It supports the temporal, geospatial, topical, and network analysis and visualization of scholarly datasets at the micro (individual), meso (local), and macro (global) levels. It has several visualization features.
• Scientometric Project. A set of open-source Python scripts for some scientometric data analyses written by Theresa Velden.
• Scopus API R code: This is some R code to query Scopus API and parse the results into a data frame. For instance, if you have a list of DOI and want to get citation data for them from Scopus.
• Pybliometrics: Python-based API-Wrapper to access Scopus: A free Python library to cache and extract data from the Scopus, developed by M. E. Rose and J. R. Kitchin. You can read about it in this paper. 
• Sitkis: (obsoleted) Sitkis is a free Java-based software tool developed exclusively for bibliometric analysis. Sitkis provides tools for extremely streamlined analysis of bibliometric networks. Read more about it here.
• VOSviewer. A free Java-based program, primarily intended to be used for analyzing and visualizing bibliometric networks. It can create maps of publications, authors, or journals based on a co-citation network or to construct maps of keywords based on a co-occurrence network.
• Web of Science API: a set of Python code to retrieve the times cited counts for DOIs and/or PMIDs.
• Webometric Analyst: a free Windows-based program for altmetrics, citation analysis, social web analysis and webometrics, including link analysis, developed by Prof. Mike Thelwall.

Science Mapping Resources

• Places & Spaces: Mapping Science. It is a collection of science maps and visualizations. It is exhibited in different places and they can be ordered.
• Atlas of Science. This is a book by Katy Börner published by MIT press. It includes 500 colour illustrations of different science maps.
• Excellence Mapping. This web application visualizes the scientific performance of institutions (universities or research-focused institutions) within specific subject areas (e.g. Chemical Engineering) as ranking lists and on maps.

Science Analysis Companies and Services

• Academic Analytics. It is a provider of high-quality, custom business intelligence data and solutions for research universities in the United States and the United Kingdom. It helps universities identify their strengths and areas where improvements can be made.
• Clarivate. It publishes Web of Knowledge and Web of Science and it also produces a few science analysis databases such as Journal Citation Reports, Science Watch, and Essential Science Indicators. WoS includes some analysis tools.
• Elsevier. It is the publisher of Scopus database as well as SciVal which Is a suite of research tools that helps you evaluate, establish and execute your research strategies more effectively. SciVal Spotlight is a unique web-based strategic analysis tool that enables academic executives to make informed strategic decisions by measuring and evaluating an institution's research performance. It evaluates your institution's research output in a single interface. SciVal Funding is a web-based solution that gives research administrators and researchers in the pre-award stage access to current research funding opportunities and award information. It allows you to find the right funding opportunities and analyze the funding environment.
• SCImago. Is a portal that includes the journals and country scientific indicators developed from the information contained in the Scopus. These indicators can be used to assess and analyze scientific domains.
• Science Metrix. (now owned by Elsevier) It provides customized services in performance measurement and program evaluation using advanced bibliometric indicators and recognized quantitative and qualitative research methods. In 2010 it published a '30 Years in Science' report.
• SciTech Strategies Inc. It mainly creates maps of science.

Journals related to Scientometrics

Books on Scientometrics