Sagar Pande, Aditya Khamparia and Deepak Gupta
One of the important key components of health care–based system is a reliable intrusion detection system. Traditional techniques are not adequate to handle complex data. Also, the…
Abstract
Purpose
One of the important key components of health care–based system is a reliable intrusion detection system. Traditional techniques are not adequate to handle complex data. Also, the diversified intrusion techniques cannot meet current network requirements. Not only the data is getting increased but also the attacks are increasing very rapidly. Deep learning and machine learning techniques are very trending in the area of research in the area of network security. A lot of work has been done in this area by still evolutionary algorithms along with machine learning is very rarely explored. The purpose of this study is to provide novel deep learning framework for the detection of attacks.
Design/methodology/approach
In this paper, novel deep learning is the framework is proposed for the detection of attacks. Also, a comparison of machine learning and deep learning algorithms is provided.
Findings
The obtained results are more than 99% for both the data sets.
Research limitations/implications
The diversified intrusion techniques cannot meet current network requirements.
Practical implications
The data is getting increased but also the attacks are increasing very rapidly.
Social implications
Deep learning and machine learning techniques are very trending in the area of research in the area of network security.
Originality/value
Novel deep learning is the framework is proposed for the detection of attacks.
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Aditya Khamparia, Sagar Pande, Deepak Gupta, Ashish Khanna and Arun Kumar Sangaiah
The purpose of this paper is to propose a structured multilevel system that will distinguish the anomalies present in different online social networks (OSN).
Abstract
Purpose
The purpose of this paper is to propose a structured multilevel system that will distinguish the anomalies present in different online social networks (OSN).
Design/methodology/approach
Author first reviewed the related work, and then, the research model designed was explained. Furthermore, the details regarding Levels 1 and 2 were narrated.
Findings
By using the proposed technique, FScore obtained for Twitter and Facebook data set was 96.22 and 94.63, respectively.
Research limitations/implications
Four data sets were used for the experiment and the acquired outcomes demonstrate enhancement over the current existing frameworks.
Originality/value
This paper designed a multilevel framework that can be used to detect the anomalies present in the OSN.
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The main goal of this research is to describe the talent management process via social networking sites (SNS) in emerging economies of India and Mexico.
Abstract
Purpose
The main goal of this research is to describe the talent management process via social networking sites (SNS) in emerging economies of India and Mexico.
Design/methodology/approach
The chapter uses a conceptual approach to detail the subject matter and adopts two theoretical frameworks to enhance understanding of the topic.
Findings
India and Mexico have welcomed various forms of SNS as strategic organizational tools for talent management. In India, Orkut is adopted to attract technical employees, Facebook is used to source overseas applicants, and Linkedin is sourced for management professionals. In Mexico, Facebook, Twitter, and YouTube predominantly provide applicants for young talent, while LinkedIn provides applicants for upper-level talent. This research also identifies the role of national cultures and data privacy laws in both these countries.
Research limitations/implications
This research is a conceptual paper and any future research will benefit from having either empirical or qualitative research to substantiate the results.
Practical implications
Practitioners might also benefit from this chapter as it distinguishes how different cultures use SNS for recruitment practices. Some cultures prefer to use SNS predominantly for its social aspect while others favor its practicality value. Global managers may be interested to identify where social networks are easily accepted for work-related practices.
Originality/value
There seems to be a paucity of research on SNS in emerging economies. This chapter provides pioneer work in two emerging economies by identifying relevant statistics, developing a model, and listing current SNS. Thus this research helps fill the gap in the extant cross-cultural literature on SNS.
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Sagar Ghuge, Milind Akarte and Rakesh Raut
The study aims to explore the available academic literature on the decision-making frameworks used in additive manufacturing management (AMM).
Abstract
Purpose
The study aims to explore the available academic literature on the decision-making frameworks used in additive manufacturing management (AMM).
Design/methodology/approach
This research formulates a systematic literature review to determine the research trend of the decision-making framework in AMM. Further, the theory, context, characteristics, and methodology (TCCM) framework is used to identify the research gaps and suggest future research directions.
Findings
The systematic literature review (SLR) delves into overarching research themes within decision-making frameworks in AMM. Additionally, it uncovers trends in article publication, geographical distribution, methodologies utilized, and industry applications. This review not only reveals research gaps but also proposes directions for future exploration.
Originality/value
The key novelty of this research lies in revealing the five most contributing themes of decision-making frameworks in AMM, with the highest contributing theme being AM process selection, followed by part selection for AM. This finding enables decision-makers to make informed decisions to address similar problems while exploring AM technology. Moreover, this research introduces an AM part fabrication roadmap inspired by the literature review. Lastly, the paper highlights key research gaps for future research.
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Sukhwant Kaur Sagar, Olugbenga Timo Oladinrin, Mohammed Arif, Amit Kaushik and Rubina Islam
This study aims to focus on model development to analyse key factors affecting trust in virtual project teams (VPTs).
Abstract
Purpose
This study aims to focus on model development to analyse key factors affecting trust in virtual project teams (VPTs).
Design/methodology/approach
A questionnaire survey was conducted on construction professionals participating in virtual teams. Structural equation modelling technique was performed to establish the effect of relevant factors on trust-building in VPTs.
Findings
Team performance is highly affected by the trust among the team members. Trust building can be enhanced by improving the quality of team communication, organisation culture, team bonding and team members’ characteristics.
Originality/value
The model developed in this study would benefit team productivity and team members’ learning in VPTs.
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Alok Tewari, Ram Singh, Smriti Mathur and Sushil Pande
The current study employs a modified framework of the unified theory of acceptance and use of technology (UTAUT) to predict students' intention to adopt online learning in India…
Abstract
Purpose
The current study employs a modified framework of the unified theory of acceptance and use of technology (UTAUT) to predict students' intention to adopt online learning in India. The moderating role of openness to change in influencing the proposed relationships is also assessed.
Design/methodology/approach
A structured questionnaire was emailed to 650 students enrolled in various courses in public and private universities in India. In total 424 responses were considered for analysis using structural equation modeling (SEM). Moderation analysis was carried out with multi-group SEM and chi-square difference tests.
Findings
The results reveal that there is a significant impact of performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FS) and perceived security (PS) on students' intention to adopt online learning. Further, openness to change moderates the impact of PE, FS and PS on intention of students to opt for online learning.
Originality/value
This study is one of the initial efforts to examine the factors affecting students' intention to adopt online learning at the onset of third wave of coronavirus disease 2019 (COVID-19) pandemic in India. Besides the factors of the UTAUT model, this study highlights the importance of PS and openness to change in influencing students' intention to opt for online learning.
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Markus Brenner, Andreas Wald and Ronald Gleich
Process orientation is important for improving organizational performance. The process view is considered a key enabler of digital transformation, and thus management control…
Abstract
Purpose
Process orientation is important for improving organizational performance. The process view is considered a key enabler of digital transformation, and thus management control systems (MCS) are expected to incorporate this view. However, the existing body of knowledge is fragmented, as different process approaches are often considered independently following a reductionist view of control practices. This paper aims to provide recommendations for further research as well as guidance for practice by a systematic review of the state of research of MC for process orientation. It is based on both a comprehensive view to MC using an MCS package approach and a comprehensive view of process orientation.
Design/methodology/approach
A systematic literature review addressing major types of process orientation approaches was performed by applying the comprehensive MC framework of Malmi and Brown. The results were synthesized and propositions were developed.
Findings
All components of the MC framework, as well as MCS packages, are highly relevant for process orientation. Propositions regarding configurations of MC for process orientation show directions for future research. However, comprehensive considerations of packages and of individual components, especially cultural controls, remain scarce in the literature.
Originality/value
To the best of the authors‘ knowledge, this paper is the first of its kind to provide a comprehensive, structured overview of MC for process orientation, applying a nonreductionist view, based on an MCS Package approach, and consolidating the so far fragmented view of different process approaches.