Promoting innovation and application of internet of things in academic and research information organizations

2017 ◽  
Vol 66 (8/9) ◽  
pp. 655-678 ◽  
Author(s):  
Elisha Ondieki Makori
Keyword(s):  
Big Data ◽  
Information Systems ◽  
Internet Of Things ◽  
Digital Content ◽  
Research Institutions ◽  
Research Information ◽  
Public And Private ◽  
Content Type ◽  
Research Organizations ◽  
Information Professionals

Purpose The purpose of the study was to investigate factors promoting innovation and application of internet of things in academic and research information organizations. Design/methodology/approach Quantitative research design involved survey of selected academic and research information organizations in public and private chartered institutions. Information professionals, digital content managers, information systems and technologists that normally consume big data and technological resources were involved in the process of data collection using structured questionnaire and content analysis. Information organizations and information practitioners were selected from public and private academic and research institutions. Findings Innovation of internet of things has increasingly transformed and changed academic and research information organizations as the source of knowledge in addition to expanding access to education, data, information and communication anywhere anytime through hyperconnectivity and networking. Internet of things technologies such as mobile of things, web of things, digital information systems and personal devices are widely applied by digital natives in academic and research information organizations. Mobilization platform and devices is the single biggest provider of data, information and knowledge in academic and research organizations. Modern trends in education and knowledge practices in academic institutions and information organizations depends upon internet of things, digital repositories, electronic books and journals, social media interfaces, multimedia applications, information portal hubs and interactive websites, although challenges regarding inadequate information communication technology infrastructure and social computing facilities still persist. Research limitations/implications Information organizations in public and private chartered academic and research institutions were adopted in the study. Respondents handling and supporting information management, planning and decision-making provided the necessary data. Information professionals, digital content managers, information systems and technologists are proactively involved in data and information analytics. Practical implications Academic and research information organizations are powerhouses that provide knowledge to support research, teaching and learning for sustainable development and the betterment of humanity and society. Innovation of internet of things and associated technologies provides practical aspects of attaining sustainable information development practices in the contemporary knowledge society. Internet of things technologies, principles of economies of scale and investment and customer needs entail that information organizations and practitioners should provide appropriate and smart systems and solutions. Social implications Modern academic and research information organizations have the social corporate responsibility to offer technological innovations to heighten access to knowledge and learning in academic and research institutions. Economically, innovation and application of internet of things provide unlimited access to big data and information in organizations all the time anywhere anytime. Originality/value Data management is a growing phenomenon that information practitioners need to fully understand in the digital economies. Information professionals need to embrace and appreciate innovation and application of internet of things technologies whose role in sustainable development practices is critical in academic and research organizations.

Promoting a revamped CRM through Internet of Things and Big Data: an AHP-based evaluation

2020 ◽  
Vol 28 (1) ◽  
pp. 66-91 ◽  
Author(s):  
Mohamad Abu Ghazaleh ◽  
Abdelrahim M. Zabadi
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Customer Service ◽  
Assessment Model ◽  
Analytic Hierarchy ◽  
Business Decision ◽  
Content Type ◽  
Factors Influencing ◽  
New Frontier ◽  
The Impact

Purpose Internet of things (IoT) and big data (BD) could change how the societies function. This paper explores the role of IoT and BD and their impact on customer relationship management (CRM) investments in modern customer service. The purpose of this paper is to develop an analytic hierarchy planning framework to establish criteria weights and to develop a general self-assessment model for determining the most important factors influencing the IoT and BD investment in CRM. The authors found that most studies have focused on conceptualizing the impact of IoT without BD and with limited empirical studies and analytical models. This paper sheds further light on the topic by presenting both IoT and BD aspects of future CRM. Design/methodology/approach The analytic hierarchy process (AHP) methodology is used to weight and prioritize the factors influencing the IoT and BD investment in modern CRM in the service industry. The AHP framework resulted in a ranking of 21 sustainability sub-factors based on evaluations by experienced information technology and customer service professionals. Findings The paper provides significant insight on the new frontier of CRM, focusing on the use of IoT and BD and the respective solutions to address them were identified. This study primarily contributes in providing the process of effectively managing and implementing IoT and BD in big businesses by identifying the connecting link between firms and customers. Practical implications The understanding of new frontier of CRM connective via IoT and BD can solve the dilemmas and challenges linked to the practice of implement IoT and BD in the information systems field. The study provides valuable information and critical analysis of IoT and BD with regard to the integration of CRM. Finally, this study further provides directions for future researchers. Originality/value IoT and BD are a growing phenomenon, which business decision-makers and information professionals need to consider seriously to properly ascertain the modern CRM dimensions in the digital economies. They also should embrace the proper CRM innovation, which is powered by IoT and BD, and discover how IoT and BD can bring the next level of maturity to CRM “CRM of everything.”

How the Internet of Things can help knowledge management: a case study from the automotive domain

2017 ◽  
Vol 21 (1) ◽  
pp. 57-70 ◽  
Author(s):  
Lorna Uden ◽  
Wu He
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Internet Of Things ◽  
Current Knowledge ◽  
Time Data ◽  
Content Type ◽  
Useful Knowledge ◽  
Iot Devices ◽  
The Internet Of Things

Purpose Current knowledge management (KM) systems cannot be used effectively for decision-making because of the lack of real-time data. This study aims to discuss how KM can benefit by embedding Internet of Things (IoT). Design/methodology/approach The paper discusses how IoT can help KM to capture data and convert data into knowledge to improve the parking service in transportation using a case study. Findings This case study related to intelligent parking service supported by IoT devices of vehicles shows that KM can play a role in turning the incoming big data collected from IoT devices into useful knowledge more quickly and effectively. Originality/value The literature review shows that there are few papers discussing how KM can benefit by embedding IoT and processing incoming big data collected from IoT devices. The case study developed in this study provides evidence to explain how IoT can help KM to capture big data and convert big data into knowledge to improve the parking service in transportation.

Big data and Internet of Things (IoT) technologies in Omani banks: a case study

foresight ◽  
2017 ◽  
Vol 19 (4) ◽  
pp. 409-420 ◽  
Author(s):  
Stuti Saxena ◽  
Tariq Ali Said Mansour Al-Tamimi
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Banking Sector ◽  
Big Data Analytics ◽  
It Infrastructure ◽  
Major Step ◽  
Content Type ◽  
External Data ◽  
Security Infrastructure

Purpose The purpose of this paper is to underline the significance of invoking Big Data and Internet of Things (IoT) technologies in Omani Banks. Opportunities and challenges are also being discussed in the case study. Design/methodology/approach Four Omani banks representative of local, international, Islamic and specialized banks are being studied in terms of their social networking presence on Facebook and their e-banking facilities. Also, impetus is laid upon the aggregation of internal data and vast amounts of semi-structured external data from public sources, including social media. Findings The case study shows that Big Data analytics and IoT technologies may be utilized by the Omani banks for facilitating them in “forecasting” and “nowcasting”. Besides, customers may be better managed with better and efficient services. However, there are challenges in tapping these technologies such as security, infrastructure, regulatory norms, etc. Practical implications Banks in Oman need to appreciate the utility of Big Data and IoT technologies, and for this, a robust IT infrastructure should be institutionalized. Originality/value The case study is a major step in integrating Big Data and IoT technologies in Omani banks across four variants of national, international, Islamic and specialized banks. This is the first study where such integration has been emphasized in the Omani banking sector.

A bibliometric analysis of emergency management using information systems (2000-2016)

2017 ◽  
Vol 41 (4) ◽  
pp. 454-470 ◽  
Author(s):  
Helen S. Du ◽  
Xiaobo Ke ◽  
Samuel K.W. Chu ◽  
Lok Ting Chan
Keyword(s):  
Information Systems ◽  
Emergency Management ◽  
Bibliometric Analysis ◽  
Regional Cooperation ◽  
Research Area ◽  
Research Institutions ◽  
Content Type ◽  
Main Research ◽  
Emergency Managers ◽  
Research Orientations

Purpose The purpose of this paper is to present a statistical analysis of research into emergency management (EM) using information systems (IS) for the period 2000-2016. Design/methodology/approach In this study, research trends in the area of EM using IS are analysed using various parameters, including trends on publications and citations, disciplinary distribution, journals, research institutions and regional cooperation. Through a keyword co-occurrence analysis, this study identifies the evolution of the main keywords in this area, and examines the changes and developments in the main focus of scholars in this period. The study also explores the main research orientations in the field by analysing and integrating the results of two cluster analyses conducted from keyword- and reference-based perspectives, respectively. Findings The area of EM using IS has received increased attention and interest by researchers and practitioners. It is suggested that more cooperation among research institutions is required to help facilitate the further development of the area. Six main research orientations are identified: namely Web 2.0-enabled research, geographic information technology (IT), IT-based research, the contextual use of IT, crisis collaboration research and mass media communication research, since the research area first became popular in 2006. Originality/value This study is the first to comprehensively map the landscape of EM by conducting a bibliometric analysis of the research using IS. The authors’ findings can help academics and emergency managers gain a comprehensive understanding of the research area, and guide scholars towards producing more effective findings.

Big data and knowledge management: a case of déjà vu or back to the future?

2017 ◽  
Vol 21 (1) ◽  
pp. 113-131 ◽  
Author(s):  
Xuemei Tian
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Information Systems ◽  
Theory And Practice ◽  
Organizational Studies ◽  
Content Type ◽  
Online Databases ◽  
Management Perspective ◽  
Big Data Technologies ◽  
Conceptual Study

Purpose Big data clearly represent an important advance in information systems theory, but to describe it as “revolutionary” is premature. Similar technological breakthroughs, from online databases to ERP, were clearly modulated by advances in the organizational domain, including matters of structure, strategy and culture and arguably big data will be similar. The purpose of this paper is to encourage discussion of the wider implications of big data for the theory and practice of knowledge management. Design/methodology/approach This is a conceptual study based on critical analysis of the relevant literatures including those of organizational studies and management, big data and knowledge management. Findings The literature of big data emphasizes the application of algorithms to pattern analysis and prediction, resulting in data-driven decision-making, with data being the creator of value in organizations and societies. This would appear to render obsolete previous depictions of the “data-information-knowledge” relationship and, in effect, spell the end of knowledge management. However, big data literature largely ignores the organizational dimension and, significantly, the importance of frameworks, strategies and cultures for big data. As all of these are present in the literature of knowledge management, it would seem that big data have a long way to go to catch up and qualify even as a sub-discipline. Indeed, on the evidence, big data may well have a future as a contributor to and/or an element of knowledge management. Even for this to happen, however, major advances are required across the spectrum of big data technologies. Research limitations/implications This is a position paper written as the precursor for an empirical study. Originality/value The paper offers a critical literature-based and knowledge management perspective on big data while pointing out the common thread that runs through decades of advances in information systems technologies.

An investigation of the digital literacy skills and knowledge-based competencies among librarians working in university libraries in Nigeria

2019 ◽  
Vol 69 (4/5) ◽  
pp. 311-330 ◽  
Author(s):  
Chukwuma Clement Okeji ◽  
Eriye Chris Tralagba ◽  
Ifeyinwa Calista Obi
Keyword(s):  
Digital Literacy ◽  
Literacy Skills ◽  
University Libraries ◽  
Online Questionnaire ◽  
Public And Private ◽  
Content Type ◽  
Knowledge Based ◽  
Security Software ◽  
Information Professionals ◽  
Filtering Routers

Purpose The purpose of this paper is to investigate the digital literacy skills possessed by librarians working in university libraries in Nigeria. Design/methodology/approach An online questionnaire was developed using SurveyMonkey to collect data from 111 librarians working in both public and private universities in Nigeria. Findings The study revealed the digital literacy skills that the librarians rated as very high and high, and those that they rated as moderate and low. The study also revealed the knowledge and competencies that they rated to be highly competent and competent, as well as also those that they rated to be neutral and not good. The librarians rated their knowledge of network and system security; ability to apply security software firewalls, filtering routers and ability to protect access to digital content by providing password or IP base access as neutral and not good. Overall, the study revealed that almost half of the librarians rated their level of digital literacy skills possessed to be moderate. Only few librarians rated their digital literacy skills to be excellent. Practical implications The findings will be helpful to librarians, information professionals, libraries and library schools. The results will inform librarians on the skills and digital competencies that are essential for developing and managing digital resources and protecting digital contents. Originality/value Findings will be helpful to explore the skills and competencies needed by information professionals and to act as a guideline for competency development and curriculum update in library schools in developing countries.

Much- needed business digital transformation through big data, internet of things and blockchain capabilities: implications for strategic performance in telecommunication sector

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anam Bhatti ◽  
Haider Malik ◽  
Ahtisham Zahid Kamal ◽  
Alamzeb Aamir ◽  
Lamya Abdulrahman Alaali ◽  
...  
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Data Quality ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Digital Transformation ◽  
Equation Modeling ◽  
Content Type ◽  
Strategic Performance ◽  
Dependent Variables

PurposeIn the field of business, digital transformation is the integration of digital technology into all areas of business, from generating to deliver value to customers. This concept is essential for sustainable growth of a company and its overall economy. Based on this fact, this authentic and informative research is conducted whose major aim is to examine the importance of digital transformation within a business through big data, the Internet of things and blockchain-based capabilities for overall strategic performance within the telecom sector in China.Design/methodology/approachFor that aim, data quality and technology competence are considered as independent variables, strategic performance as dependent variable and big data analytics capabilities, Internet of things capabilities and blockchain capabilities routinization acted as mediators within this paper. In its data collection mechanism, an online survey was conducted in which questionnaires are randomly distributed to the telecom sector's professionals in which only 343 of them gave their valid outcomes. After collecting primary data, confirmatory factor analysis (CFA) and structural equation modeling (SEM)–based statistical outcomes have been generated.FindingsResults indicate that there is a significant relationship between data quality and strategic performance and between technological competence and strategic performance. Also, the big data analytics and Internet of Things capabilities acted as significant mediating role between both independent and dependent variables. But blockchain capabilities routinization is that variable that acts as an insignificant mediator between independent and dependent variables' relationship.Originality/valueOverall, this study is an informative and attractive source for the Chinese government, its telecom industry, administrative body and related ones to understand the importance of such IT capabilities' implications within their operating activities for their strategic performance management. Also, related field scholars can utilize its reliable data in their research analysis. Its major limitations are (1) lack of qualitative/ mixed method of research and (2) lack of comparative analysis that may impact the acceptability factor of this paper, and this weakness can be overcome by upcoming scholars in their research.

Added value in the context of research information systems

2016 ◽  
Vol 50 (3) ◽  
pp. 325-339 ◽  
Author(s):  
Majid Nabavi ◽  
Keith Jeffery ◽  
Hamid R. Jamali
Keyword(s):  
Information Systems ◽  
Design Methodology ◽  
Added Value ◽  
Research Information ◽  
Discussion Paper ◽  
Content Type ◽  
Road Map ◽  
Metadata Enrichment ◽  
Similar Information ◽  
Information Format

Purpose – The purpose of this paper is to discuss added value in the context of current research information systems (CRISs) based on metadata enrichment. Design/methodology/approach – This discussion paper uses literature review as well as analysis of CRISs specifications to discuss added value possibilities. Findings – Added value of the CRISs is in their integration and interoperability with the same and similar information systems. Since metadata plays key roles in interoperability of information systems, therefore focussing on metadata-related issue can add considerable values to CRISs. Two types of metadata can be distinguished in every CRISs including macro- and micro-metadata. In terms of macro-metadata common European research information format (CERIF) by itself is an added value for CRIS because it draws a complete view of the research landscape including entities and their relations. CERIF metadata structure is designed in such a way that supports micro- and macro-metadata. Originality/value – There is a lack of literature on adding value to research information systems especially CRIS and particularly how value can be added in CRISs still is an unanswered question. CRIS developers can use this paper as a road map to choose the most valuable strategy for adding value to their systems.

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