Global journal of Business and Integral Security

An Exploratory Study of Remote Offshore Employee’s Engagement: A Study on North Sea Offshore Remote Workforce

2023-09-20T13:44:44-07:00

The UK North Sea is known as the Oil capital of Europe and plays a significant role in the country's economy, providing 49% of offshore employment. However, the industry has faced challenges in recent years due to economic downturns and the COVID-19 pandemic. These difficulties have resulted in strained relationships between employers and employees, low engagement levels, and a high turnover rate. This paper is attempted to explore employee engagement among the offshore remote workforce of the North Sea's Oil and Gas industry and provide organizations with a framework for improvement. Employee engagement is crucial for organizational success, fostering a positive atmosphere and encouraging committed, energetic employees who contribute to overall success. The study uses both qualitative and quantitative approaches, including interviews and a questionnaire survey. The findings suggest that current strategies for driving employee engagement in the offshore industry need revision, emphasizing the importance of establishing trust and fostering a positive relationship between employees and organizations. The outcome from the research study can be used to provide an overview and references on some of the practical work undertaken in the area of the employee engagement practices in the North Sea's Oil and Gas industry.

Keywords: Employee Engagement, Offshore, Psychological Contract, Leadership.

EVALUATION OF BUSINESS STRATEGIES OF MOBILE GAME PUBLISHERS IN INDIA

2023-09-19T01:51:39-07:00

This research is being conducted to explore and understand how certain Indian
game developers achieved success through profitability and sustainability. The central
question posed is: What are the business strategies and practices of start-up companies to
build a profitable business in the mobile game industry? The goal is to analyse data from
interviews conducted with founders of Indian start-ups in the mobile game industry and
create a theoretical framework for future entrepreneurs in the same space to increase the
chances of their success.
The study used a qualitative research design by conducting semi-structured
interviews over Zoom, Skype, email and face to face based on the life experience of the
interviewees. Observation techniques and the interviewees responses were gathered to
generate data from a target population of six candidates holding key positions in the
business. Interviewees ranged from mid-senior to executive roles including ownerviii
promoters. All interviewees who participated in the study were from India and engaged in
the business of mobile gaming. An abductive approach was applied to the study, and
themes were formed after the data from the interviews was analysed.
The findings showed that the preferred business model for game development
businesses in India is the free-to-play model. The primary problems for a business in the
mobile games industry in India faced were personnel, capital, and lack of a support
system, in that order. The major methods that these businesses achieved sustainability
was through constantly building additional revenue sources, innovation and pivoting at
the right time. The key learnings from operating a game development business in India
were to gain a competitive advantage, work with the community and be metric focused.
The results of the study were compared to those of Klimas (2017), Waller (2015)
and Baghbaniyazdi et. al (2017), and extended the findings and results of the same.
The findings of this study may be used by existing and new businesses as a reference in
their own journey towards being profitable and then sustainable. By doing so, they will
be able to contribute to the country’s economy by creating jobs, absorb talent, and
potentially create India’s first billion dollar pure-play game.

COMPARATIVE ANALYSIS OF MACHINE LEARNING ALGORITHMS FOR SENTIMENT ANALYSIS OF TEXT IN AZERBAIJANI AND ENGLISH

2023-09-18T02:49:38-07:00

The prediction of sentiment of the text within different business spheres has been one of the challenging problems for a variety of linguistics. In this paper, the sentiment analysis of the texts has been carried out using different machine learning (ML) techniques. Various feature extraction techniques and supervised learning algorithms have been employed on the movie review dataset sourced from the Internet Movie Database and translated into Azerbaijani. Specifically, the techniques utilized encompass Support Vector Machines (SVM), Logistic Regression, Decision Trees, Random Forest, AdaBoost, XGBoost, and Naïve Bayes. The proposed models depict the importance of language corpus that Azerbaijani language lacks by comparing the results obtained from both Azerbaijani and English versions of the dataset.

BUSINESS IMPACT OF EFFECTIVE TRAINING AND DEVELOPMENT PRACTICES OF BILLABLE RESOURCES IN PROFESSIONAL SERVICES ORGANISATIONS THAT BELONG TO SAAS COMPANIES

2023-09-15T03:22:49-07:00

Although retention of employees has been one of the most relevant
topics in Human Resource Management, companies are still failing to address or even
understand it effectively. Over the past years, numerous research pointed out to Training
and Development (“T&D”) policies as a mechanism for maximising motivation and
retention. Specific research domain deals with the importance of this in Professional
Services (“PS”) in the Information Technology (“IT”) sector.
However, the ability to set in place T&D practices that are meaningful to the
business is not yet well known. There is also little known around what effective T&D
looks like in these organisations.
The purpose of this research is understanding if T&D practices can be effective
while at the same time respectful with their business targets, this work studied
Professional Services in a major business unit of a worldwide leader networking
multinational company that is part of NASDAQ 100 and Fortune 100; compromising
hundreds of employees, multiple regions and different T&D approaches across four fiscal
years of data on where dramatic exceptional events, such as a Global Pandemic
(COVID19) and BREXIT, occurred.
Two statistical methods have been used with the intention of identifying healthy
or unhealthy business Key Performance Indicators (“KPIs”): Mean analysis has been
used to understand how business KPIs averages have deviated from their business targets;
Variance has been used to understand the predictability of the same business KPIs by
looking at the dispersion of datapoints.
The results obtained by using Design Science Research (“DSR”) and the
mentioned statistical methods produced two things: The first one is an innovative markerbased
model presented in this research that organisations can use to develop effective
T&D policies; the second one is that effective T&D in SaaS PS organisations can exist
without having to sacrifice business targets.
The impact on organisations that use the proposed marker-based model has the
potential of not only improving retention, but also producing a higher quality of work,
which ultimately enables companies to generate more revenue.

THE FRAGILITY OF THE GLOBAL SUPPLY CHAIN: A STUDY ON BEVERAGES ALCOHOLIC BUSINESS IN INDIA

2023-09-15T03:16:40-07:00

This study focuses on the fragility of the Global Supply Chain (GSC), specifically
within the alcoholic beverages (Alco Bev) industry in India. The study highlights several
factors that contribute to this vulnerability, including limited supplier diversification,
regulatory hurdles, transportation and logistics challenges, geopolitical factors, natural
disasters and climate change, cybersecurity threats, and insufficient risk management
strategies, among others.
An extensive literature review underscores the importance of strengthening Global
GSCs to enhance their resilience in the face of disruptions. The review explores the
challenges faced by the Alco Bev industry during the Covid-19 pandemic and examines
the strategies implemented to mitigate its impact. The study reveals that pandemic-related
disruptions significantly affected the industry, leading to increased costs and delivery
delays. Therefore, it emphasizes the necessity of a flexible and resilient GSC capable of
adapting to unforeseen events such as the pandemic.
The study employed as well as included document analysis and survey
questionnaires, to gain insights into key stakeholders, service providers, and institutions
involved in the Alco Bev industry. Furthermore, the target audience for the study
encompassed various entities within the industry, such as manufacturers, wholesalers,
retailers, various logistics service providers, customs house agents, duty-free operators, and
Customs bonded warehouse operators.
The survey questions were designed and mapped to address eight research
questions concerning the strategies employed by Alco Bev organisations in navigating the
challenges of the GSC during the pandemic. The study's results, based on responses from
66 survey participants, highlighted the significance of robust and resilient GSCs in
improving overall performance. It was suggested that international collaboration could
play a crucial role in mitigating GSC interruptions by facilitating the maintenance of
normal operations during unforeseen circumstances. Furthermore, the study recommended
the utilisation of artificial intelligence as a tool for predicting and preventing SC disruptions
and emphasised the importance of collaboration between SC organisations and mass media
organisations to address issues such as fake news, consumer panic, and cost increases.
Finally, the study proposed areas for future research, including evaluating the
regulatory framework, analysing the role of technology, examining the effects of climate
change, assessing sustainability, and studying the impact of geopolitical risks. Overall, the
study emphasised the fragility of the GSC and the need for proactive measures to enhance
its resilience in the Alco Bev industry in India.

PSYCHOLOGICAL EMPOWERMENT, SELF LEADERSHIP, CORE SELF EVALUATION, WORK AS A CALLING AMONG ENTREPRENEURS

2023-09-15T03:13:55-07:00

Entrepreneurship has rekindled the interest of a growing body of psychology-based researchers. The field is developing and getting more attention. Psychological empowerment is a motivational construct that involves feeling competent, having an impact, feeling meaningful and having autonomy in one’s work. Self-leadership is the process of influencing oneself to achieve personal goals and lead oneself in positive direction. Core self-evaluation is a personality trait that encompasses an individual’s self- esteem, locus of control, emotional stability, and self-efficacy. Work as a Calling is a belief that one’s work is fulfilling and meaningful vocation that contributes to a greater purpose.
The proposed investigation aims to explore correlates & predictors of Psychological Empowerment, Self-Leadership, Core Self Evaluation & Work as a Calling among male & female entrepreneurs. A total sample of 200 entrepreneurs (100 Males & 100 Females) was collected from Indian cities in the age 25 to 50 years. Standardized scales were used to measure psychological empowerment, self-leadership, core self-evaluation and work as a calling among entrepreneurs. The results found out significant relationship among psychological empowerment, self-leadership, core self-evaluation and work as a calling among entrepreneurs. Female entrepreneurs were found to be higher on self-talk as compared to male entrepreneurs. Further, subdimenisons of psychological empowerment and self leadership were retained as signifcant predictors of Core Self Evaluation.
As a result, the proposed research aimed in improving the noted psychological factors that affect entrepreneurs. By fostering psychological empowerment, self-leadership, positive core self-evaluations, and a sense of work as a vocation, entrepreneurs can cultivate the resiliency, determination, and passion necessary to create successful and sustainable businesses. Implementation of mentoring programmes, training, and other forms of assistance designed to enhance these factors and, ultimately, entrepreneurial outcomes, are important.

ACCEPTANCE OF ARTIFICIAL INTELLIGENCE INFLUENCER IN CONSUMER PURCHASE INTENTION

2023-09-15T03:11:13-07:00

Influence is something that is as old as humans. We are always under the influence of something or someone. In the same lines, the concept of influencer marketing has been on the rise among the consumers in the recent past. Marketing has seen a new phase of growth with influencers posting content in social media. These influencers are followed by thousands to a million followers and even more at times. These make the brands consider these influencers to be potential advocates of their brands. Today, with the rise of Artificial Intelligence across the globe, the combination of Artificial Intelligence and Influencer Marketing has led to “Artificial Intelligence Influencer” creating disruptions in the industry.
AI Influencers are the order of the day for marketers with the rapid growth of technology. This has come as a game changer in the influencer industry. AI Influencers prove to be more effective than the human counterparts. They have been able to generate content, provide personalized posts to consumers, create positive experiences and
customer engagement across various social media platforms. The AI Influencers have been on the limelight since their introduction. The play a very critical role in bringing the brands and consumers together. This gives us the required space and motivation to study how these AI Influencers are being perceived by the consumers. It also explores the impact of these AI influencers towards customers’ purchase intention.
On reviewing related literatures, it is understood that there is scope for research in the AI Influencer space. This research attempts to empirically identify the factors that persuade Indian consumers towards AI Influencers in their purchase intention. It uses judgmental sampling and descriptive research in the study. The complete model was validated using Structural Equation Model. This research exhibits the theoretical and managerial implications and acceptance of AI Influencers towards customer purchase intentions. The study reveals there are no differences in how personalization is seen indicating that both human & AI influencers are equally capable of tailoring content.

IMPACT OF REVOLUTIONARY ARTIFICIAL INTELLIGENCE BASED CODE AUTOMATION MODELS ON SOFTWARE DEVELOPMENT INDUSTRY AND SOFTWARE DEVELOPERS

2023-09-15T03:08:19-07:00

The purpose of this study is to explore the impact of large language models on the
software industry. The study seeks to answer the research question, “How does
automating software development impact the job of software professionals and how
much effort and cost-saving will organizations get by augmenting software development
with artificial intelligence”. The goal is to analyze the various software development
tasks that can be automated using artificial intelligence-based code automation models
and study the impact of this automation on software professionals and the industry.

SECURE KUBERNETES RESOURCES FROM CPU BASED CRYPTOJACKING

2023-09-15T03:00:11-07:00

This research is being conducted to understand the behaviour of the cloud application deployed in the public cloud, private cloud and Blockchain based Hyperledger fabric environments. The main idea is to extract the intension of the cloud resource usage by the application in the generous manner and to derive the expected results that is intended to perform.
Due to the growing demand of the Cryptocurrency usage, the environments used to mine the cryptocurrency is drawing a lot of attention. The environment that is in the form of cloud resources, on prem resources pose a lot of security threats from the hacker in utilizing the hardware resources without the application being disturbed. This results in the increased cost cloud resources billed to the customer.
The tools used in the research methodology to detect the cryptojacking comprises of the open source (Intel V-Tune) and not bind to any hardware vendor that cater the needs of the customer. The goal is to analyse the application on the fly using the tool and collect the data from output of the tools. The data is further cleaned and converted to format (CSV) that is consumed by the necessary deciding logic to further analyse.
The source of the data is driven by the open-source tools used for mining the cryptocurrency. The mining can be done on any popular cloud agonistic platforms that has well defined hardware config. After the application is found to be using the excess hardware that is beyond the threshold value, the method of finding the application usage is done by the method described above.
The challenge in K8S environment to bring the application down without interrupting the operation is well compensated by the ISTIO mesh framework. ISTIO helps in diverting the user traffic for the application to the other instance of the application on the fly. The side car container injection to the K8S pods and configuring the destination rules makes the process smooth in bringing down the affected application.
The results of the study were conducted on the industry standard hardware such has Intel and AMD CPU’s. The MSR (Model specific register) configuration plays a vital role in identifying the affected application before and after the application starts.
This research helps the academic people to further enhance the study of different mining application and helps the Enterprise sector to reduce the TCO (Total Cost of Ownership) by identifying the unintended usage of hardware resource by the application.
The results obtained from the research shows that for identifying the cryptojacking the tools used shows positive note. The usage of the tools along with the ease of configuration with respect to the customer application gains upper hand. In short context, the open-source tools selection with hardware platform as abstract on which customer has chosen for the application deployment helps to reduce the TCO.
The results of the study were compared to those of Rupesh Raj Karn et al (2021). The findings of this study may be used by existing academic as a reference in further enhancing the methods of identifying the cryptojacking.

Influence of social media on the purchase related decisions of tourists in India

2023-09-15T02:57:09-07:00

It is necessary to highlight that in recent times several people and tourists in India are using social media platforms in order to get numerous information about traveling. Tourists are getting influenced by Facebooks, Instagram and Twitter these social media platforms in terms of getting more enhanced travel related purchasing decisions. In the tourism industry social media marketing is being implemented. The research includes information from India and also other countries. There are many difficulties arising from the return on investments, once they have adopted and utilized social media for marketing. According to many researchers, there are many difficulties for marketers to measure the revenue. Besides this, many of them don’t know the calculating procedure.
Several travel related information such as destination photos, podcasts, videos and blogs are helps tourists in getting effective “tourist behavior” or “tourism behavior”. In this study, the role of Facebook, Instagram and Twitter has been shown in an effective manner. In addition to that, it has been highlighted that some travel related advertisements that are posted by “social media influencers” tourist purchasing decisions. Some social media focused websites have changed their patterns regarding tourists planning to travel, including the path that they purchase and consuming some tourism related products. In terms of understanding these purchasing decisions of several tourists two theories such as “theory of buyer behavior” and “EKB Model” have been used in this study.