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With the expansion of internet penetration and the adoption of mobile apps, usage of food delivery applications has increased significantly during the pandemic. The study's main objective was to examine the antecedents and consequences of food delivery app engagement among urban and semi-urban customers in India during COVID-19. The data were collected from 269 semi-urban respondents and 301 urban respondents. The stimulus organism and response (SOR) model has been used to understand consumers' antecedents and consequences of food delivery app engagement during the pandemic. The study used the structural equation modelling method to test the relationship between the variables. The study's findings showed that the mobile application's perceived ease of use, enjoyment, and time convenience found a significant effect among urban and semi-urban customers. This study is limited to urban and semi-urban customers with cross-sectional survey data. The study has explored a few antecedents and consequences of mobile food delivery app engagement.

Detecting the attacks in Vehicular Ad hoc Network (VANET) system is very important to provide more secure and reliable communication between all vehicles in the system. In this article, an effective Intelligent Intrusion Detection System (IDS) is proposed using machine learning and deep learning approaches such as Adaptive Neuro Fuzzy Inference System (ANFIS) and Convolutional Neural Networks (CNN), respectively. The existing methods focus on detecting only the known attacks in VANET environment. This limitation is overcome by proposing the Intelligent IDS system using soft computing techniques. The proposed method consists of Known IDS (KIDS) and Unknown IDS (UIDS) modules, which detect both known attacks and unknown attacks. The KIDS module uses ANFIS classification module to detect the known malicious attacks, whereas the UIDS module uses a deep learning algorithm to detect the unknown attacks in VANET. Modified LeeNET (MLNET) architecture is proposed in this article to identify the type of unknown attacks. In this work, DoS attacks, Botnet attacks, PortScan attacks, and Brute Force attacks are detected using this hybrid learning algorithm. The proposed system obtains 96.9% of Pr, 98.3% of Se, 98.7% of Sp, and 98.6% of Acc and consumed 1.75 s for detecting the DoS attack on i-VANET dataset. The proposed system obtains 98.1% of Pr, 98.9% of Se, 98.1% of Sp, and 98.1% of Acc and consumed 0.95 s for detecting the Botnet attack. The proposed system obtains 98.7% of Pr, 99.1% of Se, 98.9% of Sp, and 99.2% of Acc and consumed 1.38 s for detecting the PortScan attack. The proposed system obtains 99.1of Pr, 97.8% of Se, 98.7% of Sp, and 98.5% of Acc and consumed 1.29 s for detecting the Brute Force attack. The developed methodology is tested on the real-time CIC-IDS 2017 dataset, and the experimental results are compared with other state-of-the-art methods.

Slum dwellers speak volumes about their poor and deprived plight. This study aimed to explore the prevalence of communicable disease, to inspect the incidence of non-communicable/metabolic disorders, to discover the occurrence of reproductive diseases, and to investigate the prevalence of minor ailments among the women dwelling in slums of selected districts of Tamil Nadu. This study adopted a cross-sectional study pattern. Using the purposive sampling technique, 1600 mon pregnant non lactating women, aged between 19-55 years were selected from the slums of four major districts of Tamil Nadu, namely Chennai, Coimbatore, Madurai and Tiruchirappalli. These women lived in the slums of Tamil Nadu and were deprived of education and lack proper housing, experienced infectious diseases, suffered from non-communicable/metabolic disorders, reproductive health issues, and specific minor ailments and deficiency diseases. The findings of the study revealed specific numbers that defined the exact health conditions of women in the slums of Tamil Nadu. The findings of the study would encourage governmental and non-governmental agencies to plan new policies.

Advertisers regularly utilize endorsers as credible sources to conciliate purchaser awareness, customer attitude, and buying objectives. The current paper aims to examine the influence of owner endorsers’ expertise, knowledge, integrity, familiarity, and credibility on consumers’ buying decisions and purchase intentions. The population of this study includes customers of prominent gold and diamond jewelry brands in the southern part of India. The data are subjected to quantitative examination. A comprehensive review was undergone to make a situational analysis. A multi-stage sampling approach was administered to collect the feedback of respondents from the southern states of India. The samples were analyzed using statistical tools like multiple regression and structural equation modeling to find the model fit and relationships among different variables. The outcome of the study highlights that brand endorsers’ expertise, integrity, and credibility play a vital role in conveying trustworthiness and genuineness about the product and its usage. This study also contributed insights into the implication of owners’ endorsement by influencing buying decisions and purchase intentions of jewelry customers.

Postmodern intertextuality abbreviates the relation between the texts that has related to incidents, quotes, allusions, translation and so on. The aim of the study accolades on the postmodern tendency of intertextuality in Preeti Shenoy’s selected texts, Life is What You Make It, It Happens for a Reason and A Hundred Little Flames. Preeti Shenoy is a multifarious postmodern writer. The term intertextuality has linked with other texts. The features of intertextuality are quotation, scenes, characters, narration, allusion etc. The notable theorists of intertextuality are Julia Kristeva, Roland Barthes and Mikhail Bakhtin, and the present study has adopted the intertextual concepts from the considered theorists. The methodology of the study splits into four intertextual concepts -- description of a word, different circumstances link, language and dialogue. The first two concepts, proposed by Julia Kristeva, are description of a word and different circumstances link. Roland Barthes has proposed the intertextual concepts of language and dialogue. Mikhail Bakhtin also has proposed the intertextual concept of language. These intertextual concepts are adopted in the present study, and the authors have investigated the intertextual elements in the select texts of Shenoy.

This study investigates the effect of inclusive leadership on innovation performance with a mediating role of employee innovation behavior and the moderating role of psychological empowerment (PE). Supervisors and employees of Saudi manufacturing firms are the participants of this study. This study used a quantitative research technique with a cross-sectional approach and a self-administrative survey questionnaire to collect the data. The data were analyzed by using the Smart PLS 3 software. The results depict that inclusive leadership has a significant positive impact on the firm’s innovation performance. Employees’ innovation behavior has a significant mediating effect on the association of inclusive leadership and innovation performance. Findings revealed that PE has an important moderating role in the association of inclusive leadership and innovation performance. The findings of this study contribute to the body of knowledge by finding that inclusive leadership has a significant effect on the firm’s innovative performance and PE is crucial to enhance innovation performance.

The purpose of this study is to investigate the relationship between green human resource management bundle practices and green innovation and their impact on sustainability performance as measured by the Triple Bottom Lines (i.e., environmental, social, and economic performance). It is decided to use a quantitative approach in order to collect data from 335 small- and medium-sized (SMEs) businesses operating in the Kingdom of Saudi Arabia, through a customized survey. Structure equation modeling was applied through smart PLS to analyze the collected data. Results show that green human resource management bundle practices have a positive and significant impact on the sustainable performance of SMEs. Furthermore, results indicate that green innovation has a significant impact on sustainable performance and green innovation partially mediates the relationship between green human resource practices and sustainable performance of SMEs. This study demonstrates that the implementation of GI by firms can be enhanced through the use of GHRM, which, in turn, would enhance the firms’ sustainability. Additionally, this study both confirms and enhances the traditional understanding. The study also depicts that environmental management practices in the human resource and innovation sectors can result in greater sustainability.

The present study aim to investigate relationship between religion, higher profitability on investment, sharia board audit, services (faster/friendly), bank reputation, product and service quality and to know which variable more influence in selecting Islamic banks in GCC countries. The study adopted convenience sampling. 101 completed questionnaires were chosen for analysis. The study found that there is no relationship in between consumer preferences and higher profitability on investment, services (faster/friendly), bank reputation, but there is, however, a significant relation with regards to religion, sharia board audit and product and service quality and paper provide fresh insights to the Islamic banks and recommendations, study implications, future research possibilities also discussed.

COVID-19, a global pandemic, is proving a significant threat to various sectors globally, including the aviation industry. There has been limited research on the Singapore aviation industry, their responses and preparedness and the impact of COVID-19 during and post-pandemic. With such a gap in the literature, this study aims at understanding the impact that the pandemic has specifically on Singapore’s aviation industry both current and in the future while focusing on the existing mitigation measures. A survey questionnaire was used to collect quantifiable data from airport and non-airport workers to analyse various attributes, such as the perception of mitigation and air travel demand. The results concluded that attitudes towards pandemic and mitigation measures significantly led to better expectations of air travel recovery. It is to be noted that beyond domestic and global attitudes, rebound of international travel essentially relies on borders to be opened and multiple countries’ collaboration and coordination.

The impact of digital technology has altered consumers’ choices for decades, which has fostered large amounts of eCommerce, including in the home furnishing business. Furthermore, due to the Coronavirus disease (COVID-19) pandemic, consumer behaviours have changed, with consumer satisfaction influencing purchasing initiatives and decision-making online. There is insufficient research on online purchasing behaviours in the home furnishing sector in the context of Singapore. The advent of digitisation and the emergence of marketing through digital platforms compared to offline marketing have changed purchasing behaviours regarding home furnishing in Singapore. Research designs and methods, including realism philosophies, deductive approaches, a quantitative research method, a cross-sectional analysis in a descriptive research design and a questionnaire research instrument, were applied to the current study. The findings show a critical trend: consumers prefer an omnichannel approach when purchasing furniture, thereby enhancing competitive costs and personalisation designs and services. Consumers expect advantages both online and offline to maximise the benefits of their purchasing.

With the advancement in technology and convenience of social media, the customers and marketers' adoption and use of online brand communities have extensively increased. Customer engagement in social media brand communities has become an emerging research topic in the marketing area that has recently brought attention to researchers. The present study conducted bibliometric analysis to evaluate the current level of research has been conducted on the concept of customer engagement in online brand communities. The study has extracted the data from the Scopus database. The study identified 174 relevant research papers, and data was analysed with the help of a bibliometric tool called Bibliometrix. The study has presented significant findings and given some future research directions.

Blockchain technology has disrupted the traditional approaches of marketing and introduced altogether contemporary marketing frameworks using its unique capabilities of decentralization, security and transparency. In recent times, this technology has attracted both academicians and practitioners to study the underlying processes and opportunities of the application of blockchain technology in marketing. Although there is an increasing deliberation in researching the use of blockchain in marketing, there exists an intermittent gap in holistic overview of the current trends and future boundaries. This article is an attempt to present a comprehensive current state and prospects of expansion in the research of the application of blockchain technology in marketing using state of the art bibliometric review analysis. The bibliometric analysis using 161 articles from Scopus database revealed the influential aspects of research such as prolific authors, influential documents, countries, affiliations, sources and keywords. Moreover, emerging research streams about the application of blockchain is identified and enumerated using network synthesis and visualization of co-citation, and keywords co-occurrence networks. These findings pave the ways for future research expansion. The results shows that the research on applications of blockchain technology has been maturing over time. However, the research streams reveal that blockchain based marketing framework is still in its infancy stage.

This study examines the role of gender as a moderator on the relationships between subjective norm on attitude and purchase intention and attitude on purchase intention by using the Theory of Reasoned Action (TRA) among organic food consumers.Data is collected using a crowdsourcing platform called Amazon's Mechanical Turk (MTurk). The respondents are organic food consumers (N = 633) from the US. The proposed model is tested using AMOS by covariance-based structural equation modelling and tested for multi-group moderation.The model is fit. The results of multi-group moderation show that gender moderates the two relationships: subjective norm on attitude and attitude on purchase intention, but not the third one, i.e., subjective norm and attitude. All the direct hypotheses are supported. This research found that males and females differ in purchasing intention toward organic food.This is the first study in the organic food context that tested subjective norm - attitude, attitude - purchase intention, and subjective norm-attitude using the theory of reasoned action.

The study is focused on assessing the impact of sustainable leadership and core competencies on sustainable competitive advantage in the information technology sector. The data are sourced from primary and secondary data. The primary data are sourced from IT sector employees. The secondary information is sourced from earlier publications related to sustainable leadership, sustainable competitive advantage, and core competencies. The primary data were collected through the field survey method, although some were collected via an online mode. The sample size was 297. The study used a simple stratified random sampling technique. The study results described a significant effect of sustainable leadership on sustainable competitive advantage. Sustainable leadership improves the prospects of associations in terms of their creation, constant advancement, sustained competitive edge, and long-term success. Sustainable leadership is a wellspring of gaining the upper hand for associations. Sustainable leadership benefits associations, development, consistent improvement, a supported upper hand, and long haul achievement. The study also found that the core competencies significantly influence the competitive advantage. The discoveries of the current study have significant ramifications for customers, top administration, and policymakers. The practitioners of IT companies are urged to cultivate an inventive and open correspondence climate in their associations dependent on existing logical discoveries. Likewise, they could utilize the current outcomes as a benchmark for gradually expanding their qualities and limits, which may prompt better natural productivity.

Artificial Intelligence (AI) is one of the promising and compelling technologies nowadays which continuously transforms human lives and massively impacts almost all spheres of the business world. While AI is constructively indiscriminately flourishing in all fields, workforce management is not an exception to the rule. The primary purpose of this research is to critically analyze the impact that Artificial Intelligence (AI) is having on Human Resource management practices, more specifically on recruitment and Selection in organizations. The researcher has concentrated on four AI capabilities, namely Natural Language Processing, Machine Vision, Automation, and Augmentation, and their impact on the Recruitment and selection process. The researcher has collected primary data through an online survey from 141 IT employees regarding Chennai city. The researcher has also focused on external secondary data (articles and reports) to demonstrate some of the findings of the impact of AI capabilities on Recruitment and Selection. The study finds that AI technologies capabilities namely NLP, Machine Vision, Automation, and Augmentation have a significant impact on the Recruitment and Selection Process with potential positive outcomes such as time & cost-saving, accuracy, removes bias, reduced workload, increased efficiency, and candidate experience.

The international tourist movement has overgrown in recent decades, and travelers are considered a significant source of income to the tourism economy. When tourists visit a place, they spend considerable money on their enjoyment, travel, and hotel accommodations. In this research, tourist data from 2010 to 2020 have been extracted and extended with depth analysis of different dimensions to identify valuable features. This research attempts to use machine learning regression techniques such as Support Vector Regression (SVR) and Random Forest Regression (RFR) to forecast and predict worldwide international tourist arrivals and achieved forecasting accuracy using SVR is 99.4% and using RFR is 84.7%. The study also analyzed the forecasting deadlock condition after covid-19 in the sudden drop of international visitors due to lockdown enforcement by all countries. Refereed/Peer-reviewed

IntroductionCreating a proper career program is the best way to enhance employees’ organizational commitment; it motivates and retains them. This research aims to measure career growth’s influence on turnover intention, mediated by employees’ commitment through self-reported employees’ perceptions. This study identifies the key dimensions of organizational commitment (affective, continuance and normative commitment) that mediate the relationship between career growth and employee turnover intention exploring the indirect effects between career growth and turnover intention. The relationship is examined among the public sector employees in the Sultanate of Oman, a sector currently facing high turnover rates and losing key skilled talent pool.MethodologyData collection was executed through an adopted questionnaire distributed among 500 employees of 38 government units within the Sultanate of Oman. A total of 351 questionnaires were returned, and after the initial screening process, 329 were found to be valid for further analysis. CFA analysis was conducted to identify the factors falling under the three primary constructs of the study. Assessment of the models was explained through Goodness-of-fit Indices. Structural equation modeling, which is most recommended to study the effect of latent variables, was performed using AMOS to evaluate the mediating role of organizational commitment between career growth and employee turnover intention.FindingsThe results indicated that the potential for career growth is an essential motivating element for public sector employees in the Sultanate of Oman to encourage retention and reduce intention to leave. The findings also confirm that effective and continuous commitment significantly mediates the relationship between career growth and employees’ turnover intention.Contribution and originality valueThe results generated could help both researchers and those involved in public sector policy-making to understand how employee turnover intention is influenced by career growth and organizational commitment in the public sector in the Sultanate of Oman.

The paper aims to study the effect of emotional intelligence and the performance of State Commercial Banks employees in Sri Lanka. Knowing the reason behind the job performance of workers is an important issue for scientific discipline. Theoretical viewpoints contain the emotional intelligence of executive-level employees, such as aspects of self-control, self-regulation, social understanding, empathy and motivation. Five basic hypotheses were investigated for employees’ emotional intelligence and performance to achieve the objective. The paper follows a quantitative approach. In total, 100 responses were collected from 153 samples, consisting of managerial level employees from Peoples Banks and Bank of Ceylon in Sri Lanka, analyzed using correlation and regression models. The findings of the study prove that emotional intelligence has a substantial positive relationship with employee success. It is suggested that the organization’s continuous training program is crucial to improving emotional intelligence and increasing managers’ performance levels. Received: 30 January 2022 / Accepted: 4 April 2022 / Published: 5 May 2022

Education is the cornerstone of improving people’s lives and achieving global sustainability. Intelligent systems assist sustainable education with various benefits, including recommending a personalized learning environment to learners. The classroom learning environment facilitates human tutors to interact with every learner and obtain the opportunity to understand the learner’s psychology and then provide learning material (access learner previous knowledge and well-align the learning material as per learner requirement) to them accordingly. Implementing this cognitive intelligence in Intelligent Tutoring System is quite tricky. This research focused on mimicking human tutor cognitive intelligence in the computer-aided system of offering an exclusive curriculum or quality education for sustainable learners. The prime focus of this research article was to evaluate the proposed SeisTutor using Kirkpatrick four-phase evaluation model. The experimental results depict the enhanced learning gained through intelligence incorporated SeisTutor against the intelligence absence, as demonstrated.

The technology impact more in the organization, it is forcing to change their basic functions, irrespective of industry functions. To catch the requirement, the companies forcing to hire human resources. The aim of the is to find duplication of applicant's face through the principal component analysis algorithms. The study tested the pre-corded images of the applicants and concluded with further research ideas.

The aim of the paper is to provide different varieties of resource to conduct research. The finding of the paper is resources are very useful for researchers, practitioners and academicians.

The present paper explores how EDITTDA approach measure agile HR performance in HR organizations, conducted in Bangalore based software industry, data collected from the HR professionals with structure questionnaire, 104 HR professionals participated. The study developed a theoretical framework for constructs and tested the hypotheses relationship in between the constructs. The study found that there is a relationship between the EDITTDA approach and agile human resources performance by using coefficients beta (β), t test and descriptive statistics were used. Also, found that by using EDITTDA approach can measure the agile human resources performance. This finding is expected to help agile organizations to align their practices. The study conducted in Bangalore based software companies does not covered all companies located in Bangalore city.

Education 4.0 is considered a significant technology for teaching and learning. The present study aims to explore the impact and the importance of Education 4.0 for improving English language learning in the perception of students in India, especially Hyderabad City. Moreover, Education 4.0 has bloomed as an important need to move along with the fast-growing education system of the world. But, it is a fact that many Indian students have complications and difficulties in learning English due to many reasons. The traditional methods of teaching are one of those reasons. Students learn only through the conventional methods, and they may find it boring and not effective. The education and mode of teaching have changed a lot, and it has attained a newer form of using the technology. Moreover, in the current era, where work from home and online teaching has become a new normal throughout the world, the technology used for teaching is inseparable. Hence, the authors are motivated to study the impact of Education 4.0 on improving English learning from Hyderabad, India. The methodology of the study has applied quantitative research. The study has employed pre-tested, close-ended questionnaires and post-assessment to gather data from the respondents to understand students’ performance in English language learning after implying Education 4.0. The five-point Likert scale has been used to analyse the collected data and to get mean values of responses. The total number of respondents is 145 students who pursue their engineering degrees in the select region. Among the collected data, most of them were from urban. The data obtained from the respondents proved that there is a direct correlation between the students’ perception and implementation of Education 4.0 in learning the English language. This study indicated that the respondents upheld Education 4.0 to improve English language learning in Hyderabad, India.

Purpose – The aim of the paper to review the Robotic process automation in the recruitment process and its practical implications. This paper discussed possible applications for the recruitment industry caused due to the adoption of Robotic process automation in the recruitment process. Design/methodology/approach - This paper is structured by the independent academician, who have reviewed of the latest articles, research papers, reports and other relevant literature and synthesized their views in the process of presenting the paper. Findings – This paper offers technology development in the field of hiring industry. The RPA for managing the hiring process and also discussed possible applications and usage of RPA in the recruitment industry. Originality/value – The paper explains the role of technology and impact of RPA on the recruitment industry as well as clients in the Industry and the highlighted Inputs for successful integration and possible applications for recruitment industry. Article classification – Viewpoint.

The paper is to examine the artificial intelligent (AI) on recruitment effectiveness, the study made in CMMI (capability maturity model integration) software companies of Bangalore, collected data through a structured questionnaire from 100 human resource professionals. Around the Bangalore, descriptive statistics and structural equation modelling used to test the hypothesis. The study found that using of the artificial intelligence in recruitment process select right applicant for talent pool for the organization.

The paper discussed on artificial intelligence (AI) inference in human resource management, especially in the recruitment process. The study aim is to know artificial intelligence swapping human involvement in the recruitment process in selected software companies in India. To get valid data, the study designed structure questionnaire for different designations of 138 HR professionals and also used convenience sampling, coefficients beta (β), cronbach's alpha, t test and descriptive statistics test were used. The study found that artificial intelligence has a positive on human replacement in the recruitment process. Meanwhile, the study is expected to help studied organizations to formulate recruitment strategies and policy interferences to align to develop its effective recruitment process to recruit qualified talent into team to encounter competitive business and to develop sustainable environment.

In the present era, women-owned firms are one of India’s fastest increasing entrepreneurial communities in the form of women entrepreneurs. The objective of the study is to identify the factors that influence women’s entrepreneurial orientation and firms’ performance. The research study discusses the influencing factors and their effect on firms’ performance and satisfaction in this regard. The proposed framework and hypotheses have been tested using data gathered from boutiques, beauty parlors, carpet manufacturers, and retail shops in Karnataka, India. Data analysis was done using univariate, bivariate, and multivariate techniques. In Structural Equation Modeling (SEM), paths were created for evaluating the cause-and-effect relationship between different factors viz., social, psychological, financial, and resource factors and entrepreneurial performance and satisfaction. Seven relationships were significant, while two relationships were insignificant in this structural equation. The key finding of the paper is that all factors have a significant impact on the firm’s performance. The implications of research results for researchers and practitioners are discussed, and suggestions have also been made.

This paper aims to provide a systematic review on the topic of unlearning (and the related concept of forgetting) to establish the current body of knowledge. Despite the growing popularity of the topic, little research so far has aimed to contribute to the extant literature by providing a detailed examination that includes all aspects of unlearning. Thus, to reach our aim 72 refereed articles were analysed. The findings are synthesised not only in regard to the broad concepts of unlearning and forgetting but also regarding general issues such as operationalisation, research methodology and level of analysis. Based on this a number of research questions are proposed that aim at guiding and informing future research activities. The findings contribute to a more holistic understanding of the topic and complement extant literature on unlearning.

The present study has been done on career choice among finance students in the Kingdom of Bahrain by taking following objectives namely (i) to know the interest level of the individual perception on finance courses, (ii) to know the reasons to opt for finance course and finally (iii) to find which elements are encouraging them to study finance courses. In this regard, the present study has been conducted on 110 respondents (only selected universities in Kingdom of Bahrain) and the analysis of the findings show that the Business colleges need to update their study plan and course descriptions in accordance with the requirements of the industry. The study plan and course descriptions must be constructed effectively so as to encourage students to go for higher education in their respective domains.

The present study was conducted in colleges, universities in India to understand the relationship between the teamperformance, organizational citizenship behavior and team conflict. The data has been collected throughquestionnaire and analyzed data to know the team conflict mediation effect on relationship conflict, task conflict,team performance and organizational citizenship behavior. The study consist of 204 team members whichparticipated from 25 different colleges and universities and the data analysis was performed through SPSS 22 versionused for hierarchical regression to get desire results. The detailed analysis was performed and discussed in detail.

The aim of the present study is to investigate emotional intelligence and Personal Competence at workplace. Thestudy was conducted in the Kingdom of Bahrain. For this purpose a structured questionnaire was developed to beused by the researchers based on emotional intelligence competencies as given by Daniel Goleman (1995, 98). Thedata has been collected through primary and secondary sources and has been analyzed by using percentage methodwith sample size of 50 employees from selected organizations in Bahrain. The results show a positive significancebetween emotional intelligence and Personal Competence. Further the employees opined more percentage scoreregarding self awareness, self motivation and emotional regulation on Personal Competence of total groupemployees.

Purpose - This paper aims to review research on the topic human resource information system to establish the current body of knowledge, on this regard, to suggest some promising avenues for future research. Design/methodology/approach - The present study consists of a systematic review of 155 referred articles on human resource information system. Findings - The findings contribu This paper aims to review research on the topic human resource information system to establish the current body of knowledge, in this regard, the researchers suggest some promising avenues for future research and the study consists of a systematic review of 155 referred articles on human resource information system. The findings contribute to a more holistic view of the topic and complement the study of human resource information system. Additionally, a conceptual framework is proposed that aims at guiding and informing future research activities. This study may not enable a complete coverage of all articles in the field of human resource information system. However, based on the selected research methodology, it seems reasonable to assume that the review process covered a large share of studies available. And moreover to the best of author’s knowledge, there is no systematic review on human resource information systems previously published in academic journals. te to a more holistic view of the topic and complement the study of human resource information system. Additionally, a conceptual framework is proposed that aims at guiding and informing future research activities. Research limitations/implications - This study may not enabled a complete coverage of all articles in the field of human resource information system. However, based on the selected research methodology, it seems reasonable to assume that the review process covered a large share of studies available. Originality/value – To the best of author’s knowledge, there is no systematic review on human resource information systems previously published in academic journals. Keywords: human resource information systems, HR acquire, HR develop, HR pay, HR retain, HR interact, systemic literature review Paper type: Literature review

In this global era organizations are looking for organizational effectiveness and development with the help of information technology. In this connection organizations want to utilize their human resources and retain them at workplace. The implementation of information technology in their human resource department has shown that it contributes considerably in saving time and also in cost cutting.The common benefits of HRIS frequently cited in studies include, improved accuracy, provision of timely and quick access to information and the saving of costs Lederer, (1984)1; Wille and Hammond, (1981)2 and Lederer (1984)3 discussed why accuracy and timeliness of HRIS is very important in terms of operating, controlling, and planning activities in HR. In addition, Kovach et al., (2002)4 listed several administrative and strategic advantages in using HRIS.

Technology based Internet has shortened the gap between continents, countries, cities, towns and villages and people. Different parts of the people have similar tastes, perceptions, styles and accessibility. Now Online shopping has opened the doors of globalization as it facilitate all the information about the product from anywhere around the world and it can be accessed 24/7. Therefore organizations have changed their selling and buying strategy. An even consumer preferences also has changed in terms of choices, quality, services, selling and buying. The main reason behind this is that, most of the electronic devices apps are well connected to the internet. Therefore, consumers are showing very enthusiastic behavior to buy and sell their chosen product. Keeping these benefits in their mind consumers are acting very smart and showing lots of interest to do online shopping, why because its saves time, easy payment and it will display many options to choose best of the best of his choice of product. The present study is to know which factors are influences Bahraini consumers to go for E shopping. The study further discloses that which professions are showing interest in E shopping in Bahrain. The Researchers dropped their suggestions for E tailors and consumers so that it can be implemented for further success.

21st century is acknowledged for its information outburst, technological innovation and also for transmission of such information through Human Resource Information System for successful functioning of organizations. HRIS facilitates retrieval of information quickly and accurately which allows quick analysis of HR issues and gives good information for decision makers. HRIS acts as an effective tool for managers to take effective decisions. With this background, an attempt has been made to assess the impact of human resource information systems usage on decision making process in the select software companies. For the purpose of the study 50 companies were selected based on purposive sampling method through a structured questionnaire administered. The sample included 350 IT professionals from different designations. Statistical tools like descriptive statistics, ANOVA and t-test have been used. The IT professionals and their designations have been considered as independent variables while the decision making process has been treated as dependent variable. The results of this research would help software companies to better understand the usage of HRIS to facilitate the decision making process in their organizations and also would help to identify how the decisions are taken by the employees with the help of HRIS.