Quantification of Productivity of the Brands on Social Media With Respect to Their Responsiveness

Shahzad, Basit; Awan, Kinza Mehr; Abdullatif, Abdullatif M.; Lali, M. Ikramullah; Nawaz, M. Saqib; Ayesha, Ume; Khan, Muzafar

doi:10.1109/access.2019.2891081

Cited by 9 publications

(6 citation statements)

References 26 publications

(29 reference statements)

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“…Considering that brand image is created using different channels, it appears to be necessary to use different methodologies to study it. This is exactly what Shahzad et al [20] did in their research on the factors that influence buying behavior based on the brand image both online and off-line.…”

Section: Related Worksupporting

confidence: 55%

Comparing a Traditional Approach for Financial Brand Communication Analysis With a Big Data Analytics Technique

2019

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Although large amounts of data are now available to companies, mere possession of these data is not sufficient, and for better business decisions, it is necessary to perform thorough data analysis. Nowadays, social networks services (SNS) have become important data sources. The rapid growth of SNS has led to their wide use in various research trends in social sciences. In this paper, we aim to enhance the current understanding of the possibilities offered by social data for brand communication analysis in the financial sector. To this end, a traditional methodology and a digital methodology are used to investigate the brand image of the financial entities. The traditional methodology is the Periodic Evaluation of the Image (PEI). The digital methodology is sentiment analysis, a machine learning technique for big data analytics in social sciences using an algorithm developed in Python. The data are analyzed using both methodologies, and then, their results are compared. The findings suggest that while the results obtained using the method based on big data are consistent with the results obtained with the traditional methodology, the former method allows for easier and faster data analysis. The limitations of this paper relate to the size of the sample, the studied sector, and the scope of the reviewed literature. INDEX TERMS Big data applications, machine learning, sentiment analysis, social network services, Twitter.

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Section: Related Worksupporting

confidence: 55%

Comparing a Traditional Approach for Financial Brand Communication Analysis With a Big Data Analytics Technique

2019

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“…As such, the widespread use of digital footprints has undermined consumers' trust (which is more affective altitudinal disposition) in social media platforms (Vervier et al, 2017). This area is of particular interest to individual consumers, as they may feel vulnerable to exploitation by social media platforms and web technologies (Shahzad et al, 2019;Shu et al, 2017). For instance, privacy advocates in the USA allege that large Internet service providers can potentially infringe consumers' privacy, as they have access to large volume of personal data (Waters and Bond, 2017).…”

Section: Introductionmentioning

confidence: 99%

Consumers' willingness to share digital footprints on social media: the role of affective trust

Muhammad

Dey

Alwi

et al. 2022

ITP

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PurposeDespite consumers' widespread use of social media platforms, there is scant research on the underlying factors that influence their willingness to share digital footprints on social media. The purpose of this study is to address this research gap by examining consumers' cognitive and affective attitudes simultaneously.Design/methodology/approachThis research used quantitative method by using online survey administered to a sample of 733 social media users.FindingsThe findings indicate both cognitive and affective attitudes jointly influence consumers' behavioural intentions with trust as a key construct mediating the relationship between attitudinal antecedents and consumers' willingness to share digital footprints on social media.Research limitations/implicationsThis study contributes to the information systems (IS) literature by offering a comprehensive framework constituting the joint attitudinal components as antecedents to consumers' behavioural intention for sharing digital footprints while trust works as a mediator.Practical implicationsThis paper has important managerial implications. It helps marketers and IS managers in profiling consumers, understanding consumption patterns, sharing of digital footprints, which are useful for effective market segmentation, product development and future design of social media platforms. It informs social media providers of the importance of not only focussing on functional aspects but also underscores the essence of paying attention to consumers' affect towards social media platforms, especially trust.Originality/valueThe paper presents an original framework that explains the influence of joint attitudinal components on behavioural intention, with trust as a mediator.

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“…By defining a proper mechanism and standard template to share data (i.e., standard template for project documentation for all the teams) among distributed teams can help to cover the knowledge sharing and management issues [50][51][52][53][54]73,[77][78][79].…”

Section: Standard Mechanismmentioning

confidence: 99%

“…By maintaining a unified backlog having clearly visible requirements for all the teams can help to overcome the issue of shared understanding, as all teams will be able to access and view the common data along with the progress of the work in terms of completed sprints and current sprints [22,32,63,78,[84][85][86].…”

Section: Unified Backlogmentioning

confidence: 99%

Framework for Effective Utilization of Distributed Scrum in Software Projects

Shahzad¹,

Awan²,

Fazal-e-Amin³

et al. 2023

Computer Systems Science and Engineering

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There is an emerging interest in using agile methodologies in Global Software Development (GSD) to get the mutual benefits of both methods. Scrum is currently admired by many development teams as an agile most known methodology and considered adequate for collocated teams. At the same time, stakeholders in GSD are dispersed by geographical, temporal, and socio-cultural distances. Due to the controversial nature of Scrum and GSD, many significant challenges arise that might restrict the use of Scrum in GSD. We conducted a Systematic Literature Review (SLR) by following Kitchenham guidelines to identify the challenges that limit the use of Scrum in GSD and to explore the mitigation strategies adopted by practitioners to resolve the challenges. To validate our review findings, we conducted an industrial survey of 305 practitioners. The results of our study are consolidated into a research framework. The framework represents current best practices and recommendations to mitigate the identified distributed scrum challenges and is validated by five experts of distributed Scrum. Results of the expert review were found supportive, reflecting that the framework will help the stakeholders deliver sustainable products by effectively mitigating the identified challenges.

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Quantification of Productivity of the Brands on Social Media With Respect to Their Responsiveness

Cited by 9 publications

References 26 publications

Comparing a Traditional Approach for Financial Brand Communication Analysis With a Big Data Analytics Technique

Comparing a Traditional Approach for Financial Brand Communication Analysis With a Big Data Analytics Technique

Consumers' willingness to share digital footprints on social media: the role of affective trust

Framework for Effective Utilization of Distributed Scrum in Software Projects

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