Template-Type: ReDIF-Article 1.0
Author-Name: S.S.M. Sadrul Huda
Author-X-Name-First: S.S.M. Sadrul
Author-X-Name-Last: Huda
Author-Name: Afsana Akhtar
Author-X-Name-First: Afsana
Author-X-Name-Last: Akhtar
Author-Name: Md. Humayun Kabir
Author-X-Name-First: Md. Humayun
Author-X-Name-Last: Kabir
Author-Name: Mahmud Zubayer
Author-X-Name-First: Mahmud
Author-X-Name-Last: Zubayer
Author-Name: Syeda Raissa Maliha
Author-X-Name-First: Syeda Raissa
Author-X-Name-Last: Maliha
Title: Entrepreneurial initiatives during pandemic in Bangladesh
Abstract:
This research aims to examine the growth and nature of small business entrepreneurship during the COVID-19 pandemic and identify the learnings for such small businesses from the pandemic. This research has been conducted primarily on secondary research, including the articles in journals from other authors and newspapers containing any information regarding entrepreneurship initiatives during the COVID-19 period and social media sources. However, selected interviews have been conducted to understand the problem better. The research shows five significant reasons behind people opting for entrepreneurial activities in the pandemic and six major types of small business segments - food, protective gear, home delivery and online services, social entrepreneurship, online boot camps for learners, and rise in over-the-top (OTT) platforms. So far, there has yet to be such paper on Bangladesh that categorises the entrepreneurial activities of small businesses during the pandemic and discusses it at length. The learnings from this paper will help future entrepreneurs face similar challenges.
Journal: Int. J. of Services, Economics and Management
Pages: 21-44
Issue: 1
Volume: 16
Year: 2025
Keywords: entrepreneurship; pandemic; COVID-19; entrepreneurial activity; small business; entrepreneurship opportunity; Bangladesh.
File-URL: http://www.inderscience.com/link.php?id=144571
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:1:p:21-44

Template-Type: ReDIF-Article 1.0
Author-Name: Kasim Tatić
Author-X-Name-First: Kasim
Author-X-Name-Last: Tatić
Author-Name: Mahir Haračić
Author-X-Name-First: Mahir
Author-X-Name-Last: Haračić
Author-Name: Merima Činjarević
Author-X-Name-First: Merima
Author-X-Name-Last: Činjarević
Author-Name: Merima Haračić
Author-X-Name-First: Merima
Author-X-Name-Last: Haračić
Title: Is the game worth a candle? Users' adoption of private cloud computing
Abstract:
The present study explores the effect of human-related factors (job opportunity) and system-related factors (perceived risk and perceived usefulness of cloud computing services) on an individual's decision to adopt cloud computing services. Besides, it strives to explore the perceived usefulness of cloud computing services as a mediator in the perceived risk-cloud computing adoption link and the job opportunity-cloud computing services link. Data were collected online from 125 users of cloud computing services and analysed using partial-least square structural equation modelling. The findings reveal that perceived risk directly negatively affects the perceived usefulness of cloud computing services. Job opportunity is positively associated with the perceived usefulness of cloud computing services. We found that the perceived usefulness of cloud computing services mediates the relationship between perceived risk, an individual's decision to adopt cloud computing services, and the link between job opportunities and an individual's decision to adopt cloud computing services. The current study has two theoretical contributions that are worth noting. First, this research offers insight into how perceived risk and job opportunities influence individuals- adoption of cloud computing services. Second, the present study contributes to existing knowledge about applying the technology acceptance model in the context of cloud computing services.
Journal: Int. J. of Services, Economics and Management
Pages: 63-78
Issue: 1
Volume: 16
Year: 2025
Keywords: cloud computing; technology acceptance model; TAM; perceived risk; job opportunity; perceived usefulness.
File-URL: http://www.inderscience.com/link.php?id=144572
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:1:p:63-78

Template-Type: ReDIF-Article 1.0
Author-Name: Hamid Shabandarzadeh
Author-X-Name-First: Hamid
Author-X-Name-Last: Shabandarzadeh
Author-Name: Hadi Balouei Jamkhaneh
Author-X-Name-First: Hadi Balouei
Author-X-Name-Last: Jamkhaneh
Author-Name: Fatemeh Haghighat
Author-X-Name-First: Fatemeh
Author-X-Name-Last: Haghighat
Author-Name: Fatemeh Khajeh
Author-X-Name-First: Fatemeh
Author-X-Name-Last: Khajeh
Title: Analysis of critical success factors in robust service systems through fuzzy cognitive map
Abstract:
This study aims to identify and analyse the critical success factors (CSFs) in robust service systems using the fuzzy cognitive mapping (FCM) approach. First, the factors or criteria affecting the robust service systems were identified through the literature review. Then, the cause-and-effect relationships of the factors and the effect of each factor in the robust design of the service systems were determined using the opinions of the panel of experts using the FCM approach. Findings show that 39 factors affect making a robust service system which can be classified into five categories based on the balanced scorecard (BSC) approach: social responsibility and stakeholder satisfaction, learning and growth of individuals, internal processes, finances, and suppliers. The three criteria of strengthening the process design, the competence of individuals and education and learning of individuals have the most significant impact on the robust design of the service system, respectively.
Journal: Int. J. of Services, Economics and Management
Pages: 1-20
Issue: 1
Volume: 16
Year: 2025
Keywords: service management; service quality; robust service systems; critical success factors; CSFs; fuzzy cognitive mapping; FCM.
File-URL: http://www.inderscience.com/link.php?id=144573
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:1:p:1-20

Template-Type: ReDIF-Article 1.0
Author-Name: Natalia Skorobogatova
Author-X-Name-First: Natalia
Author-X-Name-Last: Skorobogatova
Title: Research of the possibilities and results of the implementation of the principles of the green economy using Industry 4.0 technologies on the example of the utility sector
Abstract:
The results of a study of the possibilities of introducing the principles of a green economy based on the application of Industry 4.0 technologies. The trend of deterioration of the quality of the environment for the population is proved. Various information and communication technologies have been studied from the point of view of the possibility of their application in the urban environment to improve the quality of life of people and the environment. The potential advantages of their implementation are revealed, considering the achieved results of their partial use by the advanced countries of the world. The use of the smart city concept for the transition to a green economy model in the public sector is proposed. A balanced assessment model is proposed, which is based on considering the interests of all stakeholders in terms of their economic, social, and environmental results and the innovativeness of the proposed solutions.
Journal: Int. J. of Services, Economics and Management
Pages: 79-106
Issue: 1
Volume: 16
Year: 2025
Keywords: information technologies; communication technologies; green economy; Industry 4.0; innovative development; sustainable development; utility sector.
File-URL: http://www.inderscience.com/link.php?id=144574
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:1:p:79-106

Template-Type: ReDIF-Article 1.0
Author-Name: Tasya Safiranita Ramli
Author-X-Name-First: Tasya Safiranita
Author-X-Name-Last: Ramli
Author-Name: Dadang Epi Sukarsa
Author-X-Name-First: Dadang Epi
Author-X-Name-Last: Sukarsa
Author-Name: Yusuf Saepul Zamil
Author-X-Name-First: Yusuf Saepul
Author-X-Name-Last: Zamil
Author-Name: Amelia Cahyadini
Author-X-Name-First: Amelia
Author-X-Name-Last: Cahyadini
Author-Name: Sherly Ayuna Putri
Author-X-Name-First: Sherly Ayuna
Author-X-Name-Last: Putri
Author-Name: Ega Ramadayanti
Author-X-Name-First: Ega
Author-X-Name-Last: Ramadayanti
Author-Name: Reihan Ahmad Millaudy
Author-X-Name-First: Reihan Ahmad
Author-X-Name-Last: Millaudy
Title: Telecommunications service industry collaboration with over the top services for optimising state revenue in Indonesia
Abstract:
Over the top (OTT) media service is delivered/owned by telecommunication operators. The service provision includes voice, audio, video, telecommunication, conference, and networking services. The expansion of OTT into various sectors of life certainly creates its own advantages for companies in the national market that allows the government to collect fees to be included in the state treasury. The non-tax state revenue contribution shows a significant figure and the realisation always exceeds the state target. It is necessary to manage of optimisation the non-tax state revenue, especially with the technology development dynamic. This study uses a normative juridical method, namely analysing positive law provisions. The results show that the criteria for imposing non-tax state revenue in the telecommunications services sector are the basis for an ideal model for imposing the state revenue that does not only focus on the imposition of conventional telecommunications services.
Journal: Int. J. of Services, Economics and Management
Pages: 45-62
Issue: 1
Volume: 16
Year: 2025
Keywords: optimisation; over the top; OTT; revenues; telecommunication; non-tax.
File-URL: http://www.inderscience.com/link.php?id=144575
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:1:p:45-62

Template-Type: ReDIF-Article 1.0
Author-Name: Namhoon Kim
Author-X-Name-First: Namhoon
Author-X-Name-Last: Kim
Author-Name: Kyoung Ae Lee
Author-X-Name-First: Kyoung Ae
Author-X-Name-Last: Lee
Author-Name: Julie Kim
Author-X-Name-First: Julie
Author-X-Name-Last: Kim
Title: Innovation and performance in the service industry: empirical evidence from South Korea
Abstract:
The purpose of this study is to empirically investigate the effect of innovation activities on the corporate performance of service firms examining how size influences their performance. We used quantile regression to estimate the correlation between firm innovation activities and performance in the service industry and determined whether firm size matters for innovation using the survey on innovation and structural change of the service industry (SISCS). Among various innovation activities, only organisational innovation was significantly correlated with increased sales for service firms. Moreover, the effect of organisational innovation was larger for smaller service firms, suggesting a negative relationship between corporate size and organisational innovation. Therefore, organisational innovation may be the key factor for small service firms to improve their performance.
Journal: Int. J. of Services, Economics and Management
Pages: 148-168
Issue: 2
Volume: 16
Year: 2025
Keywords: service industry; innovation; small sized firms; quantile regressions; firm behaviour.
File-URL: http://www.inderscience.com/link.php?id=145060
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:2:p:148-168

Template-Type: ReDIF-Article 1.0
Author-Name: Ayman Al Armoti
Author-X-Name-First: Ayman Al
Author-X-Name-Last: Armoti
Author-Name: Wided Dafri
Author-X-Name-First: Wided
Author-X-Name-Last: Dafri
Author-Name: Taghreed Hassan
Author-X-Name-First: Taghreed
Author-X-Name-Last: Hassan
Title: Study of internal strategic management analysis on organisation growth toward choosing effective cooperative strategy
Abstract:
This research paper studies the impacts of internal strategic management analysis on organisation growth toward choosing effective cooperative strategy. In addition, this research paper seeks to analyse how Apple Company is adopting their strategic management and analyse internal industry by using SWOT analysis and Porter's five force analysis tools for the purpose to understand the factors that affect the company's decisions. Also, this research paper illustrates that strategic management has a significant impact on every aspect of the organisation including choosing suitable cooperative strategy toward the growth, and development. Moreover, this paper will focus on Apple's strategic formulation and the process of implementing its strategies. Data analysis was used to test the hypothesis, in the end with some recommendations for Apple.
Journal: Int. J. of Services, Economics and Management
Pages: 189-215
Issue: 2
Volume: 16
Year: 2025
Keywords: internal analysis; strategic management; development; organisation growth.
File-URL: http://www.inderscience.com/link.php?id=145063
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:2:p:189-215

Template-Type: ReDIF-Article 1.0
Author-Name: Solomiia Fedushko
Author-X-Name-First: Solomiia
Author-X-Name-Last: Fedushko
Author-Name: Olha Trach
Author-X-Name-First: Olha
Author-X-Name-Last: Trach
Author-Name: Yuriy Syerov
Author-X-Name-First: Yuriy
Author-X-Name-Last: Syerov
Author-Name: Iryna Ivanochko
Author-X-Name-First: Iryna
Author-X-Name-Last: Ivanochko
Author-Name: Jennifer R. Calhoun
Author-X-Name-First: Jennifer R.
Author-X-Name-Last: Calhoun
Title: Web project development: risk analysis and crisis management
Abstract:
The paper presents one of the current project management issues - risk management. This unique approach to risk management examines caused by a pandemic or global catastrophe and highlights the risks in web projects. The risks of web projects are divided into directives that affect project users' psychological, social, and economic conditions: information, user, and resource. Risk assessment was carried out in the following main directions: informational direction (data manipulation, promptness), the user (cyberbullying, thought leader), and resource (project executors, financial). The research method incorporated systematic and analytical analyses of the user direction of risks related to web project users. In comparison, the information direction of risks examined the information content of web projects. The resource direction of risks examined the web project's marketing component and executive support. The results and implications reveal that assessing the intensity of risk management measures for the sustainability of web projects regarding risks is imperative.
Journal: Int. J. of Services, Economics and Management
Pages: 169-188
Issue: 2
Volume: 16
Year: 2025
Keywords: web project; project management; user; information content; pandemic; social network; risk management; web; data manipulation; online marketing; data analysis.
File-URL: http://www.inderscience.com/link.php?id=145066
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:2:p:169-188

Template-Type: ReDIF-Article 1.0
Author-Name: Amjad S. Al-Delawi
Author-X-Name-First: Amjad S.
Author-X-Name-Last: Al-Delawi
Author-Name: Alaa S. Jameel
Author-X-Name-First: Alaa S.
Author-X-Name-Last: Jameel
Author-Name: Manaf B. Raewf
Author-X-Name-First: Manaf B.
Author-X-Name-Last: Raewf
Author-Name: Sinan A. Harjan
Author-X-Name-First: Sinan A.
Author-X-Name-Last: Harjan
Author-Name: Thabit H. Thabit
Author-X-Name-First: Thabit H.
Author-X-Name-Last: Thabit
Title: Organisational culture and job performance among employees of SMEs: the mediating role of job satisfaction
Abstract:
This study aims to determine the impact of organisational culture on job performance among Iraqi SMEs employees and examine the mediating role of job satisfaction in the relationship between organisational culture and job performance. Smart-PLS was used to analyse 104 valid questioners after testing the reliability and validity of the model. The results indicated that the organisational culture had a positive and significant impact on job performance and job satisfaction. Additionally, job satisfaction showed a positive and significant impact on job performance. Job satisfaction partially mediates the relationship between organisational culture and job performance. The value of establishing a good organisational culture in SMEs is highlighted in this study because it improves and predicts job performance.
Journal: Int. J. of Services, Economics and Management
Pages: 130-147
Issue: 2
Volume: 16
Year: 2025
Keywords: organisational culture; job satisfaction; job performance; small- and medium-sized enterprises; SMEs.
File-URL: http://www.inderscience.com/link.php?id=145069
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:2:p:130-147

Template-Type: ReDIF-Article 1.0
Author-Name: Christina Esti Susanti
Author-X-Name-First: Christina Esti
Author-X-Name-Last: Susanti
Author-Name: Purnendu Mandal
Author-X-Name-First: Purnendu
Author-X-Name-Last: Mandal
Author-Name: Benny Suwito
Author-X-Name-First: Benny
Author-X-Name-Last: Suwito
Title: Influencing loyalty to budget hotels through environment elements, experiential marketing and customer satisfaction
Abstract:
The purpose of this study is twofold: first, to examine the relationships between environment, marketing and customer satisfaction on building loyalty for hotel industry; and second, to test out those relationships through SEM analysis for further understanding of budget hotel industry dynamics. With an extensive literature review, we identified the research gap and proposed several hypotheses to study. 230 visitors in 30 budget hotels in East Java, Indonesia were surveyed for data collection. The data analysis confirms significant effects of environment elements on experiential marketing, environment elements on customer satisfaction, experiential marketing on loyalty, customer satisfaction on loyalty, environment elements on loyalty through experiential marketing, and environment elements on loyalty through customer satisfaction at budget hotels in East Java. This empirical study contributes to demand management in budget hotel industry through the influences of environment, experiential marketing and loyalty marketing. The hotel managers may design promotion strategies based on the study findings.
Journal: Int. J. of Services, Economics and Management
Pages: 107-129
Issue: 2
Volume: 16
Year: 2025
Keywords: environment element; experimental marketing; customer satisfaction; loyalty.
File-URL: http://www.inderscience.com/link.php?id=145080
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:2:p:107-129

Template-Type: ReDIF-Article 1.0
Author-Name: Brian Pratistha
Author-X-Name-First: Brian
Author-X-Name-Last: Pratistha
Author-Name: Nyimas Latifah Letty Aziz
Author-X-Name-First: Nyimas Latifah Letty
Author-X-Name-Last: Aziz
Author-Name: Joko Suryanto
Author-X-Name-First: Joko
Author-X-Name-Last: Suryanto
Author-Name: Dadang Ramdhan
Author-X-Name-First: Dadang
Author-X-Name-Last: Ramdhan
Author-Name: Megawati Suharsono Putri
Author-X-Name-First: Megawati Suharsono
Author-X-Name-Last: Putri
Author-Name: Cita Pertiwi
Author-X-Name-First: Cita
Author-X-Name-Last: Pertiwi
Author-Name: Ahmad Syafiq Kamil
Author-X-Name-First: Ahmad Syafiq
Author-X-Name-Last: Kamil
Author-Name: Syandi Negara
Author-X-Name-First: Syandi
Author-X-Name-Last: Negara
Author-Name: Lindri Setyaningrum
Author-X-Name-First: Lindri
Author-X-Name-Last: Setyaningrum
Author-Name: Amanah Pasaribu
Author-X-Name-First: Amanah
Author-X-Name-Last: Pasaribu
Author-Name: Adelia Oktarina
Author-X-Name-First: Adelia
Author-X-Name-Last: Oktarina
Author-Name: Nur Hadiati Endah
Author-X-Name-First: Nur Hadiati
Author-X-Name-Last: Endah
Title: Business ecosystem architecture in the business units of Islamic boarding schools
Abstract:
The low score of the Islamic financial inclusion index in Indonesia based on OJK 2019 data, which remains at 9.1%, demonstrates this. This study underlines the necessity of Islamic boarding schools' business units serving as a hub and connecting with Islamic financial institutions in order to make Islamic finance more inclusive. Previous studies that explore extensively the role of Islamic boarding schools in increasing the percentage of business capital from assets held or financed by Islamic financial institutions are still limited in this regard. The unit of analysis for this study is determined by simple random sampling, and the data is analysed using an explanatory sequential mixed approach. As research tools, this study employs observations, in-depth interviews, and questionnaires. The questionnaires are being distributed to 435 Islamic residential schools in Indonesia. The conclusions of this study result in an acceptable business ecosystem design for the business units.
Journal: Int. J. of Services, Economics and Management
Pages: 217-231
Issue: 3
Volume: 16
Year: 2025
Keywords: Islamic boarding schools' business unit; inclusion; explanatory sequential mixed method; business ecosystem architecture.
File-URL: http://www.inderscience.com/link.php?id=146240
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:3:p:217-231

Template-Type: ReDIF-Article 1.0
Author-Name: R. Murali
Author-X-Name-First: R.
Author-X-Name-Last: Murali
Author-Name: Sanjeeb Pal
Author-X-Name-First: Sanjeeb
Author-X-Name-Last: Pal
Author-Name: K. Mohamed Jasim
Author-X-Name-First: K. Mohamed
Author-X-Name-Last: Jasim
Title: Determining the relationship between travellers' attitudes, domestic travel preference and travel intention using the Hayes process macro model
Abstract:
India is now in a fast-paced environment. The attitude towards travel preferences and the paradigm shifts in the consumption basket, and the improvement in the infrastructure elevated the tourism sector to the next level. The survey was administered to 396 respondents across the nations, who are interested to have domestic travel in principle. The theory of planned behaviour proposed by Ajzen (1991), with six constructs, namely traveller's attitude (TA), subjective norms (SN), perceived behaviour control (PBC), domestic travel preferences (DTP), willingness to spend (WTS) and domestic travel intention (DTI), was used in the study. The results of the study show that all the constructs are interrelated with each other. Other than perceived behaviour control, all the other constructs are found to be predictors of travel intention. Subjective norms and perceived behaviour control moderate the travel intention whereas willingness to spend does not moderate. Implications for the further enhancement of the industry are discussed which may be useful for the policymakers of the travel industry.
Journal: Int. J. of Services, Economics and Management
Pages: 297-315
Issue: 3
Volume: 16
Year: 2025
Keywords: theory of planned behaviour; TPB; travel intention; travellers' attitude; domestic travel preference; DTP; perceived behaviour control; PBC; willingness to spend; WTS; domestic travel intention; DTI.
File-URL: http://www.inderscience.com/link.php?id=146241
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:3:p:297-315

Template-Type: ReDIF-Article 1.0
Author-Name: R. Karthikeyan
Author-X-Name-First: R.
Author-X-Name-Last: Karthikeyan
Author-Name: Ulligaddala Srinivasarao
Author-X-Name-First: Ulligaddala
Author-X-Name-Last: Srinivasarao
Author-Name: Shanmugasundaram Hariharan
Author-X-Name-First: Shanmugasundaram
Author-X-Name-Last: Hariharan
Author-Name: Prakash Kumar Sarangi
Author-X-Name-First: Prakash Kumar
Author-X-Name-Last: Sarangi
Author-Name: Bhawani Sankar Panigrahi
Author-X-Name-First: Bhawani Sankar
Author-X-Name-Last: Panigrahi
Title: Reducing the environmental impact of cloud data centres achieved through renewable energy sources under power grid energy trading with enhanced VM consolidation techniques
Abstract:
In this article, we focus on the problems of cost-effective green scheduling for cloud data centres through power trading and power grid transactions. Energy utilised to power the data centres can either be self-generated or it can be acquired from a renewable power plant. In order to partially offset the high-energy costs of data centres, they can either be directly powered by renewable energy sources or their excess electricity can be deposited in energy storage devices (ESD). This article is focused on the following two problem statements that have been identified: 1) cutting down on the total amount of energy by carefully organising users' needs, infrastructure, and the application of different types of energy sources; 2) lowering overall carbon discharges through an effective plan for energy use our tryouts prove that our methodology can significantly cut cloud data centres' carbon emissions by 15% compared to the existing methodology.
Journal: Int. J. of Services, Economics and Management
Pages: 277-296
Issue: 3
Volume: 16
Year: 2025
Keywords: virtual machine; sustainability; virtual machine manager; power consumption.
File-URL: http://www.inderscience.com/link.php?id=146242
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:3:p:277-296

Template-Type: ReDIF-Article 1.0
Author-Name: Mohd Haniff Jedin
Author-X-Name-First: Mohd Haniff
Author-X-Name-Last: Jedin
Author-Name: Nik Ab Halim Nik Abdullah
Author-X-Name-First: Nik Ab Halim Nik
Author-X-Name-Last: Abdullah
Author-Name: Wan-Nurisma Ayu Wan-Ismail
Author-X-Name-First: Wan-Nurisma Ayu
Author-X-Name-Last: Wan-Ismail
Author-Name: Narentheren Kaliappen
Author-X-Name-First: Narentheren
Author-X-Name-Last: Kaliappen
Title: Car lubricant brands switching behaviour in Malaysia: the role of customer satisfaction as mediator
Abstract:
This study attempts to study the car lubricants brand switching intention among consumers which has received less attention among researchers, probably because it is considered as exclusive and a much-focused business segment. This paper highlights the mediating role of customer satisfaction on the relationship between price, promotion, brand image and brand trust, and the brand switching behaviour among car lubricant consumers. Data were collected through survey questionnaires which were distributed to a sample of 155 car lubricant consumers from all over Malaysia, including Sabah and Sarawak. The results showed that customer satisfaction does mediate the relationship between price, brand image and brand trust, and brand switching intention. In contrast, no mediation effect of customer satisfaction was observed for the relationship between promotion and brand switching behaviour. The novelty of this study is that it significantly contributes towards the existing literature on brand switching behaviour from the perspective of the less-studied industry, and at the same time provides clues to marketers on the factors that can attract the intention of the consumers to switch to a different car lubricant brand. Finally, this paper discussed the implications, limitations and some suggestions for future research.
Journal: Int. J. of Services, Economics and Management
Pages: 253-276
Issue: 3
Volume: 16
Year: 2025
Keywords: customer satisfaction; consumer switching behaviour; brand switching; lubricant brands; price; promotion; brand image; brand trust; mediator effects; passenger car motor oil; PCMO; Malaysia.
File-URL: http://www.inderscience.com/link.php?id=146243
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:3:p:253-276

Template-Type: ReDIF-Article 1.0
Author-Name: Shruti Bansal
Author-X-Name-First: Shruti
Author-X-Name-Last: Bansal
Author-Name: Shobha Bhardwaj
Author-X-Name-First: Shobha
Author-X-Name-Last: Bhardwaj
Author-Name: Deepak Kumar Agarwal
Author-X-Name-First: Deepak Kumar
Author-X-Name-Last: Agarwal
Title: Key drivers of consumers' preference for purchasing ready-to-eat food products: a study of Delhi-NCR
Abstract:
In this paper, we introduce the notion of healthy food. Very few studies had discussed the internal and external drivers influencing consumers towards ready-to-eat (RTE) food. This research study aimed to investigate the reasons why individuals residing in Delhi-NCR prefer to consume RTE food, as the majority of them are working and do not have sufficient time to purchase and cook fresh ingredients at home regularly. Therefore, this study tries to identify and provide a few stable solutions by selecting intrinsic and extrinsic factors that can impact consumers' purchase intention towards RTE food. For gaining insight knowledge a survey was conducted over the Delhi-NCR population to derive the niche expertise of findings. The PLS-SEM has been applied to the collected data. The results in the final optimised model represent that the factors namely convenience, healthiness, food safety concerns, price, and packaging significantly influenced the purchase intentions of consumers. This exploratory research has several practical implications from the company's, customer's, and governmental point of view which is discussed in detailing the later part of the study.
Journal: Int. J. of Services, Economics and Management
Pages: 232-252
Issue: 3
Volume: 16
Year: 2025
Keywords: ready-to-eat; RTE; National Capital Region; NCR; healthiness; food safety; extrinsic factor.
File-URL: http://www.inderscience.com/link.php?id=146245
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:3:p:232-252

Template-Type: ReDIF-Article 1.0
Author-Name: Swadha Gupta
Author-X-Name-First: Swadha
Author-X-Name-Last: Gupta
Author-Name: Parteek Kumar
Author-X-Name-First: Parteek
Author-X-Name-Last: Kumar
Author-Name: Rajkumar Tekchandani
Author-X-Name-First: Rajkumar
Author-X-Name-Last: Tekchandani
Title: Facial emotion-based student's attention in online learning using deep learning
Abstract:
Despite the growing popularity of online courses, it is still difficult to guarantee students' participation. Online students typically struggle to stay motivated and concentrated, in contrast to students in regular classrooms who benefit from direct supervision and motivation. Facial expression recognition is built into the framework so that the emotional state of the learner may be monitored and evaluated in real-time. To detect and evaluate student interest in the present moment, a deep learning-based strategy is proposed, incorporating deep learning models like VGG-19 and ResNet-50 for face expression identification. An attention index (AI) is determined through the analysis and classification of facial expressions, allowing for the forecasting of 'attentive' and 'inattentive' states. Accuracy is very high, with VGG-19 being the most accurate model at 93.11%. These results show the potential of deep learning as a tool for measuring and retaining students' interest.
Journal: Int. J. of Services, Economics and Management
Pages: 319-341
Issue: 4/5
Volume: 16
Year: 2025
Keywords: facial emotions; e-learning; engagement detection system; head-movement; deep learning.
File-URL: http://www.inderscience.com/link.php?id=148469
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:4/5:p:319-341

Template-Type: ReDIF-Article 1.0
Author-Name: Swadha Gupta
Author-X-Name-First: Swadha
Author-X-Name-Last: Gupta
Author-Name: Parteek Kumar
Author-X-Name-First: Parteek
Author-X-Name-Last: Kumar
Author-Name: Rajkumar Tekchandani
Author-X-Name-First: Rajkumar
Author-X-Name-Last: Tekchandani
Title: Artificial intelligence-based prediction of student's attention using EEG signals in online learning
Abstract:
It is indeed true that the COVID-19 pandemic has disrupted traditional teaching methods, and e-learning has become a prominent mode of learning. However, ensuring student engagement and motivation during e-learning sessions is a challenging task for educators. The proposed EEG-based learning framework can potentially provide a solution to this problem. By analysing the EEG data, the framework can evaluate the student's learning behaviour and predict whether they are attentive or inattentive. The proposed attention evaluation algorithm are innovative and can potentially provide a better understanding of the student's learning behaviour. The SVM algorithm's accuracy of 91.68% is impressive and suggests that the proposed approach has a high potential for accurately predicting a student's learning state. The findings of this research can potentially provide valuable insights for educators to design effective e-learning environments and monitor student's learning behaviour in real-time.
Journal: Int. J. of Services, Economics and Management
Pages: 342-365
Issue: 4/5
Volume: 16
Year: 2025
Keywords: EEG waves; brain-computer interaction; machine learning; attention; neurosky.
File-URL: http://www.inderscience.com/link.php?id=148470
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:4/5:p:342-365

Template-Type: ReDIF-Article 1.0
Author-Name: Sundaravadivazhagan Balasubaramanian
Author-X-Name-First: Sundaravadivazhagan
Author-X-Name-Last: Balasubaramanian
Author-Name: Robin Cyriac
Author-X-Name-First: Robin
Author-X-Name-Last: Cyriac
Author-Name: Sahana Roshan
Author-X-Name-First: Sahana
Author-X-Name-Last: Roshan
Author-Name: Kulandaivel Maruthamuthu Paramasivam
Author-X-Name-First: Kulandaivel Maruthamuthu
Author-X-Name-Last: Paramasivam
Author-Name: Boby Chellanthara Jose
Author-X-Name-First: Boby Chellanthara
Author-X-Name-Last: Jose
Title: Assessing the efficacy of social distancing as a weapon against COVID-19 using Manhattan distance and AI-based deep learning models
Abstract:
Social distance detection plays a crucial role in curbing the spread of contagious diseases. In recent years, artificial intelligence (AI) and deep learning (DL) have emerged as a powerful resource for dealing with a wide range of practical challenges and delivering impressively positive outcomes. This article delves into the usage of object recognition, and deep learning to monitor personal and professional interactions between people at a distance. In this paper, it proposes an efficient stacked deep learning technique for accurate and real-time social distance detection (SDD). The proposed method combines the power of object detection and distance estimation between the objects in a stacked manner to improve the accuracy. The proposed technique is evaluated on two popular deep learning models such as MobileNetV2 and InceptionV2. In high-dimensional spaces, Manhattan distance can sometimes be more robust than Euclidean distance. This research work uses Manhattan distance to identify the social distance among the individuals in the crowd. The Manhattan distance with InceptionV2 outperformed well than the MobileNetV2. Experimental results demonstrate the effectiveness of the SDD technique in terms of accuracy and efficiency.
Journal: Int. J. of Services, Economics and Management
Pages: 407-424
Issue: 4/5
Volume: 16
Year: 2025
Keywords: COVID-19; faster R-CNN; image recognition; social distancing.
File-URL: http://www.inderscience.com/link.php?id=148472
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:4/5:p:407-424

Template-Type: ReDIF-Article 1.0
Author-Name: Pallavi Zambare
Author-X-Name-First: Pallavi
Author-X-Name-Last: Zambare
Author-Name: Ying Liu
Author-X-Name-First: Ying
Author-X-Name-Last: Liu
Title: Enhanced accuracy of detecting fraudulent product reviews using a fusion machine learning approach
Abstract:
Spam product reviews are fake or misleading reviews posted to promote a product or service, or to damage a competitor's reputation. They can be difficult to detect, as they are often written to appear legitimate and may include fake profiles or misleading information. Spam product reviews can be harmful to businesses and consumers. Fake reviews and ratings can damage credibility and trustworthiness by misleading consumers about the quality of a product. They can also harm their trust in the review process. It is important for businesses and review platforms to have measures in place to identify and eliminate spam product reviews. Here, we proposed a hybrid technique for identifying fake spam product reviews. This paper first introduces the task of spam online product reviews detection and makes a common definition of spam reviews. Then, we comprehensively conclude the existing method on publicly available datasets. Finally, we have shown the performance comparison for traditional machine learning, deep learning and proposed hybrid classifier. Based on the evaluation it shows that hybrid of CNN and random forest outperforms others.
Journal: Int. J. of Services, Economics and Management
Pages: 380-406
Issue: 4/5
Volume: 16
Year: 2025
Keywords: fake reviews detection; methodologies; machine learning; web-scrapping; information retrieval.
File-URL: http://www.inderscience.com/link.php?id=148473
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:4/5:p:380-406

Template-Type: ReDIF-Article 1.0
Author-Name: Ankur Arun Kulkarni
Author-X-Name-First: Ankur Arun
Author-X-Name-Last: Kulkarni
Author-Name: Shweta Agrawal
Author-X-Name-First: Shweta
Author-X-Name-Last: Agrawal
Author-Name: Ritu Tandon
Author-X-Name-First: Ritu
Author-X-Name-Last: Tandon
Title: Student placement prediction using optimised ensemble machine learning approach
Abstract:
This study presents an optimised machine learning model to predict student placements. The methodology used here is to use optimised ensemble machine learning technique. The results of optimised ensemble model are compared with other machine learning methods like naive Bayes, KNN, support vector machines and decision trees. The key aspects of this work are the examination of historical student placement data and the prediction of current students' placement. The attributes used for prediction are age, gender, stream, internship, CGPA, living facility, academic performance, etc. The performance of the implemented model for the placement prediction will be measured by various performance matrices like accuracy, sensitivity, specificity and AUC. Results show that maximum accuracy of prediction is 89% which is achieved through ensemble learning approach.
Journal: Int. J. of Services, Economics and Management
Pages: 366-379
Issue: 4/5
Volume: 16
Year: 2025
Keywords: machine learning; student performance; placement; naive Bayes; ensemble learning.
File-URL: http://www.inderscience.com/link.php?id=148474
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:4/5:p:366-379

Template-Type: ReDIF-Article 1.0
Author-Name: Vivek Kumar Agrawal
Author-X-Name-First: Vivek Kumar
Author-X-Name-Last: Agrawal
Author-Name: Bhawana Rudra
Author-X-Name-First: Bhawana
Author-X-Name-Last: Rudra
Title: Deep learning for network security: a novel GNN-LSTM-based intrusion detection model
Abstract:
The rise in the use of IoT devices in daily life has led to an increase in attacks, making it crucial to protect our devices and information. Intrusion detection system (IDS) is vital in preventing potential attacks. This paper presents a novel IDS architecture using a hybrid GNN-LSTM-based approach. Graph neural network (GNN) is used to extract information from graph-based data, while long short-term memory networks (LSTM) helps learn patterns in the extracted embeddings due to its ability to learn from long-term dependencies in data. We introduce a new mechanism for edge-classification using GNN, eliminating the need for node feature aggregation, followed by edge embedding classification using the LSTM model. We also provide a detailed comparison of our proposed model with state-of-the-art machine learning (ML) and deep learning (DL) algorithms for intrusion detection, demonstrating high accuracy.
Journal: Int. J. of Services, Economics and Management
Pages: 442-462
Issue: 4/5
Volume: 16
Year: 2025
Keywords: graph neural network; GNN; intrusion detection system; IDS; long short-term memory network; LSTM; graph edge classification; information security.
File-URL: http://www.inderscience.com/link.php?id=148475
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:4/5:p:442-462

Template-Type: ReDIF-Article 1.0
Author-Name: Bhargavi Mopuru
Author-X-Name-First: Bhargavi
Author-X-Name-Last: Mopuru
Author-Name: Anurag Sinha
Author-X-Name-First: Anurag
Author-X-Name-Last: Sinha
Author-Name: Ankita Agrawal
Author-X-Name-First: Ankita
Author-X-Name-Last: Agrawal
Author-Name: Amritesh Nandan
Author-X-Name-First: Amritesh
Author-X-Name-Last: Nandan
Author-Name: Ankit Agarwal
Author-X-Name-First: Ankit
Author-X-Name-Last: Agarwal
Author-Name: Peddi Nikitha
Author-X-Name-First: Peddi
Author-X-Name-Last: Nikitha
Author-Name: Vandana Sharma
Author-X-Name-First: Vandana
Author-X-Name-Last: Sharma
Author-Name: Ankit Anand
Author-X-Name-First: Ankit
Author-X-Name-Last: Anand
Author-Name: Doğan Keskin
Author-X-Name-First: Doğan
Author-X-Name-Last: Keskin
Author-Name: Biresh Kumar
Author-X-Name-First: Biresh
Author-X-Name-Last: Kumar
Author-Name: Pooja Jha
Author-X-Name-First: Pooja
Author-X-Name-Last: Jha
Title: Improved Indian currency recognition: neighbourhood-centred image processing and CNNs with region of pixel selection techniques
Abstract:
The paper proposes an improved approach for Indian currency recognition using neighbourhood-centred image processing and convolutional neural networks (CNNs) with region of pixel selection techniques. The method includes image pre-processing steps such as noise reduction, contrast enhancement, and resizing. A neighbourhood-centred image processing technique is applied to capture contextual information from local neighbourhoods around each pixel. A CNN-based model is then trained on the pre-processed images to learn discriminative features for currency recognition. To enhance accuracy and efficiency, a region of pixel selection technique is introduced to select only relevant regions of interest for CNN training and inference, reducing computational overhead. Experimental results demonstrate the effectiveness of the proposed approach, achieving high accuracy in currency recognition and improved efficiency in terms of computational time and memory requirements. The proposed method has potential applications in automated cash-handling machines, vending machines, and mobile payment systems where reliable currency recognition is essential.
Journal: Int. J. of Services, Economics and Management
Pages: 482-516
Issue: 4/5
Volume: 16
Year: 2025
Keywords: currency recognition; image processing; RGB; threshold; decision boundary; CNN; image processing; features.
File-URL: http://www.inderscience.com/link.php?id=148476
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:4/5:p:482-516

Template-Type: ReDIF-Article 1.0
Author-Name: Vandana Sharma
Author-X-Name-First: Vandana
Author-X-Name-Last: Sharma
Author-Name: Seema Rani
Author-X-Name-First: Seema
Author-X-Name-Last: Rani
Author-Name: Arman Raj
Author-X-Name-First: Arman
Author-X-Name-Last: Raj
Author-Name: Ankit Kumar Shanu
Author-X-Name-First: Ankit Kumar
Author-X-Name-Last: Shanu
Author-Name: Celestine Iwendi
Author-X-Name-First: Celestine
Author-X-Name-Last: Iwendi
Title: Quantum technologies outreach and AI
Abstract:
Quantum computing is one of the buzzing technologies in this modern computational era. Quantum computing is purely based on quantum mechanics as few dormant applications and advanced studies of quantum computers are integrated with quantum mechanics. This paper highlights the seven perspectives of quantum computing which is essential to get deep insights of quantum computing. The seven prerequisites are superposition, decoherence, entanglement, linear algebra, classical mechanics, quantum Fourier analysis and many body systems. The main objective of this paper is to find few stupendous impacts of this computing which will complement and explore various applications of artificial intelligence like weather pattern identification, traffic prediction, e-mail spam filtering, logistics optimisation, etc. This paper discusses visions of the top quantum computing companies and their contributions to quantum technologies. In this paper, a comparative analysis has been presented between quantum computing and classical computing. The major challenges which quantum computing faces have been addressed.
Journal: Int. J. of Services, Economics and Management
Pages: 556-577
Issue: 4/5
Volume: 16
Year: 2025
Keywords: quantum computing; quantum mechanics; entanglement; superposition; quantum Fourier analysis.
File-URL: http://www.inderscience.com/link.php?id=148477
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:4/5:p:556-577

Template-Type: ReDIF-Article 1.0
Author-Name: Somayya Madakam
Author-X-Name-First: Somayya
Author-X-Name-Last: Madakam
Author-Name: Shridhar Samant
Author-X-Name-First: Shridhar
Author-X-Name-Last: Samant
Title: Smart cities - security mechanisms and standards
Abstract:
The primary goal of developing a smart city anywhere in the globe is to improve the quality of life while fostering economic growth without jeopardising the ecological system's equilibrium. This study examines the requirements of smart cities for increased urban operational effectiveness. The authors elaborated on the standardisation of the TrendMicro cybersecurity checklist for smart cities. In a nutshell, this article emphasises the standardisation of software, hardware, networking, security, and interoperability to develop the various civic service domains in the construction of smart cities. This research article's sole source of secondary data was the internet. After the content analysis completion, a thematic narration is used to analyse the data for international-standard connotations. The novelty of this study is that this is first of its kind research paper in this field. All stakeholders including urban citizens, smart city investors, designers, municipalities, governments, and corporates will benefit from this paper.
Journal: Int. J. of Services, Economics and Management
Pages: 425-441
Issue: 4/5
Volume: 16
Year: 2025
Keywords: smart cities; quality of life; QoL; security; TrendMicro; International Telecommunications Union; ITU; IEEE; British Standards Institute; BSI; multinational corporations; MNCs.
File-URL: http://www.inderscience.com/link.php?id=148478
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:4/5:p:425-441

Template-Type: ReDIF-Article 1.0
Author-Name: Sundaravadivazhagan Balasubaramanian
Author-X-Name-First: Sundaravadivazhagan
Author-X-Name-Last: Balasubaramanian
Author-Name: Kavitha Venkatesh
Author-X-Name-First: Kavitha
Author-X-Name-Last: Venkatesh
Author-Name: Saleem Raja Abdulsamad
Author-X-Name-First: Saleem Raja
Author-X-Name-Last: Abdulsamad
Author-Name: Hannah Vijaykumar
Author-X-Name-First: Hannah
Author-X-Name-Last: Vijaykumar
Title: Predicting the COVID-19 confirmed cases using K-means clustering algorithm - a case study for challenges in big data analytics
Abstract:
Several society and confidential region industries produce stores and investigate the big data with a purpose to progress the contributions they afford. This progression is referred as big data analytics. Biomedical studies generate a large amount of data that indirectly or directly influence public healthcare. This paper brings out numerous obstacles available in medical care based big data analytics, while much concentration is given to inaccuracy prevalent in the healthcare information that showcases the health of the patients as well as vital parameters of the common people. As a case study, dataset about COVID-19 confirmed patients and increase the life-saving chances. This model further tries to prove that a machine learning model's capability to handle the inaccuracies in the dataset and provide best possible outcome. Hence, this case study can lead other industries to utilise the inaccurate datasets to contribute progressively for humankind with the help of machine learning.
Journal: Int. J. of Services, Economics and Management
Pages: 537-555
Issue: 4/5
Volume: 16
Year: 2025
Keywords: big data; healthcare sectors; structured data; unstructured data; K-means clustering.
File-URL: http://www.inderscience.com/link.php?id=148479
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:4/5:p:537-555

Template-Type: ReDIF-Article 1.0
Author-Name: Sivabalakrishnan Maruthaiappan
Author-X-Name-First: Sivabalakrishnan
Author-X-Name-Last: Maruthaiappan
Author-Name: Abdul Quadir Md
Author-X-Name-First: Abdul Quadir
Author-X-Name-Last: Md
Title: Hybrid model for fashion recommendation system using image by CNN and transformer techniques
Abstract:
Fashion is viewed as a desirable and lucrative industry since fashionable products are in high demand. One of the features that will ensure customer comfort is the ability to recommend similar fashion items based on the image of fashion item. This feature fetches similar fashion items for the customer based on the fashion image given as an input by the customer instead of searching with qualitative data which will consume more time compared to searching with images. To classify and recommend fashion item, this research involves multi label classification of fashion items by applying convolution-based algorithms like CNN, RESNET 50 and vision transformer-based algorithm such as Swin transformer and recommendation algorithm to recommend fashion items and also showcases the integration of trained model.
Journal: Int. J. of Services, Economics and Management
Pages: 517-536
Issue: 4/5
Volume: 16
Year: 2025
Keywords: convolutional neural networks; CNNs; residual neural network; Swin transformer; recommendation system.
File-URL: http://www.inderscience.com/link.php?id=148480
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:4/5:p:517-536

Template-Type: ReDIF-Article 1.0
Author-Name: R. Deebalakshmi
Author-X-Name-First: R.
Author-X-Name-Last: Deebalakshmi
Author-Name: R. Thilagavathy
Author-X-Name-First: R.
Author-X-Name-Last: Thilagavathy
Author-Name: Meenakshi Sankaran
Author-X-Name-First: Meenakshi
Author-X-Name-Last: Sankaran
Title: A novel mechanism for intelligent forwarding in cloud environment using network traffic flows classification
Abstract:
One of the most efficient environments for collaborative computing has recently emerged as cloud computing. A router is crucial in a cloud system for load distribution and traffic reduction. The primary role of a router in network management, in existing strategy router simply forwards the packet to planned beneficiary. It does not know the significance of package and package count. This reduces the router's productivity while the way is obstructed. Advanced marking approaches and traditional order tactics, which are port-based, provide less precision for arrangement, using the wire shark apparatus to estimate switch activity movement is collected per flow set, and every flow pair is sorted by a structure-upgraded neural system, all sorted traffics are classified application wise, this detail sent to the router for appropriate flow set transmission. This reduces latency, increased throughput, load balancing, and reduced cloud traffic all contribute to a router's increased effectiveness of 97.4% then traditional router.
Journal: Int. J. of Services, Economics and Management
Pages: 463-481
Issue: 4/5
Volume: 16
Year: 2025
Keywords: efficient forwarding; cloud computing; classification; traffic monitoring; traffic classes; neural network; fish seminary search.
File-URL: http://www.inderscience.com/link.php?id=148481
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:4/5:p:463-481

Template-Type: ReDIF-Article 1.0
Author-Name: Viplesh Dubey
Author-X-Name-First: Viplesh
Author-X-Name-Last: Dubey
Author-Name: Manju Kaushik
Author-X-Name-First: Manju
Author-X-Name-Last: Kaushik
Author-Name: Satendra Kumar
Author-X-Name-First: Satendra
Author-X-Name-Last: Kumar
Title: Test suite reduction techniques for software product line testing: a survey
Abstract:
Software product line (SPL) testing is more difficult than testing individual software systems. So far, testing each individual SPL item is fine, but too expensive in practice. Honestly, the number of potential products increases dramatically when the number of features increases, which is usually obtained from feature models. Due to the high volume of production, it is not possible to test all of SPL's products. In order to reduce the testing cost and tester's workload, various methods have been proposed. One of them is the test suite reduction (TSR) strategy for reducing the number of test cases. TSR reduces the time required for regression testing by identifying and removing unnecessary test cases according to a predetermined set of constraints. Therefore, we follow the TSR approach to reduce the number of products in SPL. Here, we conduct a survey of TSR methods for SPL testing. TSR not only reduces test cases but is also used to perform efficient SPL testing. This study aimed to survey the latest research on SPL testing to identify useful methods and needs for future research.
Journal: Int. J. of Services, Economics and Management
Pages: 607-623
Issue: 4/5
Volume: 16
Year: 2025
Keywords: software product line; SPL; feature model; testing; test suite reduction; TSR; test case reduction.
File-URL: http://www.inderscience.com/link.php?id=148482
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:4/5:p:607-623

Template-Type: ReDIF-Article 1.0
Author-Name: Narinder Kaur
Author-X-Name-First: Narinder
Author-X-Name-Last: Kaur
Author-Name: Shamily Jaggi
Author-X-Name-First: Shamily
Author-X-Name-Last: Jaggi
Title: Understanding consumers' behaviour to adopt technology in context to IoT enabled food delivery services
Abstract:
Internet of things (IoT) enabled online food delivery services are starting to touch our daily lives and provide new, exciting services as a result of recent advancements in internet technology. An integrated model of the elements influencing customers' adoption of IoT-enabled food delivery services is being developed and tested in the present research. Structural equation modelling was used to test the study model using data from 450 sample of Delhi/NCR (Indian) customers. Findings showed the impacts of perceived usefulness, perceived ease of use, personal innovativeness, traceability, social influence, and perceived behavioural control were strongly supported by the findings. Moreover, perceived ease of use was found to influence perceived usefulness, taking into account the technology's own viewpoints, the social setting, and specific user trait, the integrated model investigates the motivating variables that influence people's propensity to utilise IoT enabled food delivery services.
Journal: Int. J. of Services, Economics and Management
Pages: 624-640
Issue: 4/5
Volume: 16
Year: 2025
Keywords: internet of things; IoT; food delivery services; technology acceptance model; behavioural intention; personal innovativeness; social influence; traceability.
File-URL: http://www.inderscience.com/link.php?id=148483
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:4/5:p:624-640

Template-Type: ReDIF-Article 1.0
Author-Name: Maloth Sagar
Author-X-Name-First: Maloth
Author-X-Name-Last: Sagar
Author-Name: Vanmathi Chandrasekaran
Author-X-Name-First: Vanmathi
Author-X-Name-Last: Chandrasekaran
Title: An exploration of utilising deep learning models in the realm of cyber-physical systems
Abstract:
Different attacks can trigger device failure, malfunction, etc. As such, the implementation of the cyber protection program for upcoming cyber physical systems (CPSs) can involve an enhanced security framework. The numerous cyber-detection systems focused on the deep learning algorithm was developed to identify and mitigate cyber-attacks of different types via CPSs, smart grids, power networks, etc. This paper provides a thorough analysis into various deep learning algorithms for cyber security implementations for CPSs. CPS fusion and agriculture may enhance food and environmental efficiency. Many researchers have therefore been carried out in this area to tackle problems, such as the shortage of information systems and networks, inadequate cooperation for a broader internet of thing solutions and complex shifts in internal or external technological conditions in precision agriculture. In this study, we concentrate on the creation of a method for improving prediction and tackle incorrect information due to the complex problem of precise farming. As an assessment, we first forecast a rainfall using weather sensor data and then the prediction effects are set as a supplement to prevent the effects of the surveillance system with water sprinkles.
Journal: Int. J. of Services, Economics and Management
Pages: 578-606
Issue: 4/5
Volume: 16
Year: 2025
Keywords: cyber physical systems; CPS; deep learning; cyber security; water sprinkle surveillance.
File-URL: http://www.inderscience.com/link.php?id=148484
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:4/5:p:578-606

Template-Type: ReDIF-Article 1.0
Author-Name:  Sajida
Author-X-Name-First: 
Author-X-Name-Last: Sajida
Title: A decade review of public-private partnership challenges and way to tackling issues
Abstract:
This article covers PPP challenges in the last decade. This systematic review examined various barriers to PPP project implementation and proposed solutions. This study analyses a wide range of scholarly research to identify PPPs' biggest challenges faced by PPPs. PPP projects face legal and regulatory frameworks, financial, organisational, political and social, and technical challenges, according to the review. Based on these findings, this study suggests solutions. This study emphasises the importance of learning from past experiences and applying them to PPP project challenges. This study provides a comprehensive synthesis of the PPP challenges and solutions. Policymakers, practitioners, and researchers can use the study's findings and recommendations to create more effective and sustainable public-private partnerships (PPPs).
Journal: Int. J. of Services, Economics and Management
Pages: 641-656
Issue: 6
Volume: 16
Year: 2025
Keywords: public-private partnership; PPP; challenges; obstacles; systematic review.
File-URL: http://www.inderscience.com/link.php?id=150784
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:6:p:641-656

Template-Type: ReDIF-Article 1.0
Author-Name: Navneet Gera
Author-X-Name-First: Navneet
Author-X-Name-Last: Gera
Author-Name: Swati Rohatgi
Author-X-Name-First: Swati
Author-X-Name-Last: Rohatgi
Title: A bibliometric analysis of women's economic empowerment literature
Abstract:
Research on the issues of women's economic empowerment has been gaining strength in recent years, and this progress is consistent with the accomplishment of United Nation's Sustainable Development Goals by 2030. This study provides an extensive bibliometric literature review of women's economic empowerment as a term and concept using research articles from the Scopus index database. The Scopus database was accessed to extract bibliometric data of 437 articles. Various bibliometric and network analysis tools have been used to achieve the research objectives. VOSviewer software was used to perform science mapping of the data. This article discusses the main authors, journals, and countries along with the citation structure and the advancement in this field. The findings indicate that the publication trend increased from 2010 onwards, but the maximum production of articles was in 2018. The USA, India, and the UK are the most representative nations when it comes to global influence. The most influential journals were identified as <i>PLOS One</i> and <i>Gender and Development</i>. The key contribution of this study is that it highlights the gap in the literature and proposes actionable themes for future research.
Journal: Int. J. of Services, Economics and Management
Pages: 702-718
Issue: 6
Volume: 16
Year: 2025
Keywords: bibliometric analysis; bibliographic coupling; women's economic empowerment; WEE; co-citation; co-occurrence.
File-URL: http://www.inderscience.com/link.php?id=150785
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:6:p:702-718

Template-Type: ReDIF-Article 1.0
Author-Name: Nirmal Chandra Roy
Author-X-Name-First: Nirmal Chandra
Author-X-Name-Last: Roy
Author-Name: Abhishek Mishra
Author-X-Name-First: Abhishek
Author-X-Name-Last: Mishra
Title: Determinants of employment relations in rice mill sector in India: with special reference to Burdwan region in West Bengal
Abstract:
The rice mill sector in India is highly labour-intensive marked by informal employment relations trends and practices. Diversified factors determine employment relations in the sector. The present study attempts to identify the factors responsible for employment relations in the sector and the extent to which these factors shape the present scenario of employment relations in the sector. Relying on opinions taken from 320 workers employed in the sector, factor analysis and multiple regression analysis have been ascertained. The factor analysis resulted in the identification of five factors of dimensions of employment relations which include recruitment and retention, performance and reward, employee voice, employee representation and employee welfare. However, factors like representation and employee welfare were found to have a negative impact on shaping the employment relations in the rill mill sector in India.
Journal: Int. J. of Services, Economics and Management
Pages: 683-701
Issue: 6
Volume: 16
Year: 2025
Keywords: rice mill sector; labour intensive; employment relations; determinants; India.
File-URL: http://www.inderscience.com/link.php?id=150786
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:6:p:683-701

Template-Type: ReDIF-Article 1.0
Author-Name: Ahmed Aliyu Palladan
Author-X-Name-First: Ahmed Aliyu
Author-X-Name-Last: Palladan
Author-Name: Adamu Idris Adamu
Author-X-Name-First: Adamu Idris
Author-X-Name-Last: Adamu
Title: Managerial factors affecting university lecturers' job performance in Africa: a systematic review
Abstract:
This paper offers a systematic review of the literature on the empirical studies of the managerial factors that affect university lecturers' performance in Africa. Employing the methodology of systematic review, we put in perspective 92 English empirical articles on this subject. Results reveal that training, remuneration and performance management systems are the most important predictors of job performance among lecturers in African public universities. The study found that lecturers' performance was the main issue in the literature. A proposed model was also offered by the study. This paper can assist by providing future researchers with a roadmap for future managerial factors and highlighting the guidelines for their successful use in African tertiary institutions. Equally highlighted by the paper, is the practical implication of both intrinsic and extrinsic factors as they relate to lecturers' three dimensions of performance.
Journal: Int. J. of Services, Economics and Management
Pages: 657-682
Issue: 6
Volume: 16
Year: 2025
Keywords: Africa universities; managerial factors; lecturers' performance; systematic review; universities performance.
File-URL: http://www.inderscience.com/link.php?id=150788
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:6:p:657-682

Template-Type: ReDIF-Article 1.0
Author-Name: Ľubomíra Kubíková
Author-X-Name-First: Ľubomíra
Author-X-Name-Last: Kubíková
Author-Name: Stanislav Rudý
Author-X-Name-First: Stanislav
Author-X-Name-Last: Rudý
Author-Name: Viera Kubičková
Author-X-Name-First: Viera
Author-X-Name-Last: Kubičková
Author-Name: Jana Simonidesová
Author-X-Name-First: Jana
Author-X-Name-Last: Simonidesová
Title: Identification of attitudes and preferences of Slovak tourists towards sustainable behaviour
Abstract:
The tourist's behaviour is reflected in the environment. For this reason, consumer behaviour is an essential factor. The research objective is to identify and evaluate Slovak tourists' attitudes towards sustainable and pro-environmental behaviour. Our questionnaire survey focused on different groups of people from the Slovak Republic. A questionnaire survey collected the data; the final sample comprised 280 respondents. We identified their attitudes through a 5-point Likert scale. In data processing, general methods and several statistical methods were used, such as the Mann-Whitney U test, Kruskal-Wallis test, Pairwise Comparisons, Kaiser-Meyer-Olkin (KMO) test, Bartlett's test, Factor analysis, logistic regression, and linear regression. We tested the hypotheses through parametric and non-parametric tests, which revealed the preferences and attitudes of Slovak tourists in various situations. The data were processed using the SPSS Statistics software. Based on the results, we bring exciting findings. The findings highlight the importance of sustainable practices in active tourism, identify psychological factors influencing tourists' behaviour, and provide nuanced insights into the determinants of pro-environmental behaviour among tourists, thereby informing strategies to foster responsible and environmentally conscious tourism behaviour.
Journal: Int. J. of Services, Economics and Management
Pages: 719-740
Issue: 6
Volume: 16
Year: 2025
Keywords: sustainability; travel behaviour; eco-friendly choices; preferences; tourist perceptions; Slovak.
File-URL: http://www.inderscience.com/link.php?id=150832
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injsem:v:16:y:2025:i:6:p:719-740