Abstract

Present digital world with the concept of Smart cities are producing enormous amount of data over the period of time at different sectors of life. It is becoming difficult to track information and produce knowledge out of it without using emerging information management technologies. Big Data Analytics is a must to make use of data generated by IoT. In the present paper, A systematic and synthesizing critical literature have been discussed on the concept and relationship of Big Data, Data Analytics and smart cities and imperatives of the same. This study primarily contributes in providing the rationale of Big Data, Business Intelligence & Data Analytics in smart cities. The study discusses the valuable information to the Big Data practitioners by clarifying the process of effective management of Big Data through Business Intelligence and Analytics processes in smart cities. Study further provides the directions to the future research.

Highlights

  • ICT spending has resulted in large and complex computing environments which have become overly expensive to operate, maintain and provide very little strategic value or return (Raup-Kounovsky et al, 2010; Teo and Ang, 1999)

  • The results show that all the six constructs coordination of expertise, communication plan, IT infrastructure reach, on time, within cost, process innovation and within cost are all valid measures of their respective constructs based on their parameter estimates and statistical significance (Chow and Chan, 2008)

  • This study supports conventional views of the influence of independent variables of coordination of expertise, communication plan and IT infrastructure reach on the perceived extent of process innovation in software project process in Malaysian public sector using the Partial Least Square (PLS) techniques in testing hypotheses

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Summary

Introduction

ICT spending has resulted in large and complex computing environments which have become overly expensive to operate, maintain and provide very little strategic value or return (Raup-Kounovsky et al, 2010; Teo and Ang, 1999). According to the AttorneyGeneral‟s report in 2006, the Customs Department spent RM290 million for a system which was subsequently underutilised In this case, the Deloitte Consulting firm was appointed to prepare a plan in the vicinity of RM451 million to develop the solution (Lee, 2007). In the manufacturing industry (Boujelben and Fedhila, 2010), information and technology (Rajala and Westerlund, 2008; Waychal et al, 2011), small and medium enterprises (SMEs) (Piperopoulos and Scase, 2009), defence industry (Borjesson and Elmquist, 2012) and pharmaceutical (Asad et al, 2018b; Chaturvedi and Chataway, 2006; Subramanian et al, 2011) This shows that innovations can assist organizations to defend and strengthen their organizations in the market. The last section is on discussion and conclusion with suggestions for future research

Research Context and Conceptual Model
IT Infrastructure Reach
Coordination of Expertise
Communication Plan
Process Innovation and the Success of Software Project Process
Research Method
Data Collection
Measures and Assessment of Goodness of Measures
Goodness of Measures
Construct Validity
Convergent Validity
Discriminant Validity
Reliability Analysis
Hypotheses Testing
Findings
Discussion and Conclusion

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