Study on Employment Creation by Hotel Industries: A Case of Five Star Hotels of Kathmandu.

Nepal Opened up to 1950external tourists since Sagarmatha was scaled up in 1953. ‘The first hotel of Kathmandu was Hotel Snow View, opened in early1950 to cater to the tourists. Most of the workers were hired from India. At present, There are 138-star hotels, 1151 Tourist Standard Hotel, and 43999 hotel beds in Nepal. The study found out that there are 16 five-star hotels in Kathmandu with an occupancy capacity of 1343 rooms 54 restaurants in an average of 3.37 in a hotel. Total employment in five-star hotels found 3065 among them 1966 male and 1099 female employees; the ratio between men to women is 1: 1.78. And the outcome is interpreted as 1 F= 1.78 M. The employee should have refreshing training in their respective field of work. The Government and HAN should join hands in retaining the well-trained employees. They should have retirement benefits as well.

THE DARK SIDE OF A B2B CO-CREATION RELATIONSHIP IN THE FRONT END OF INNOVATION: A GENERATIVE REVIEW

This study aims to conceptualise the risks of a co-creation relationship between providers and customers in the front end of innovation (FEI). The existing literature on the topic of the interactions between customers and providers is vast but mostly reflects the vision of each respective field of science addressing specific issues and dynamics. This review paper combines integrative and generative approaches (Post et al., 2020). The narrative overview methodology (Green et al., 2006) fits the purpose to integrate the contributions of scholars from different areas and with distinct perspectives. The authors present a comprehensive view of the complex and, sometimes, conflictual customer–provider relationship in a business-to-business (B2B) context applied to the FEI. The review, mostly focused in the service industry, included the identification of inconsistencies and poorly explained phenomena. This work contributes decisively to the innovation, management and organisation literature, advancing a model of the projected risks of the specific customer–provider relationship in the FEI phase.

Predictive Coding, Variational Autoencoders, and Biological Connections

We present a review of predictive coding, from theoretical neuroscience, and variational autoencoders, from machine learning, identifying the common origin and mathematical framework underlying both areas. As each area is prominent within its respective field, more firmly connecting these areas could prove useful in the dialogue between neuroscience and machine learning. After reviewing each area, we discuss two possible correspondences implied by this perspective: cortical pyramidal dendrites as analogous to (nonlinear) deep networks and lateral inhibition as analogous to normalizing flows. These connections may provide new directions for further investigations in each field.

Relationship of trees as green infrastructure to pro-environmental behavior for psychological restoration in urbanized society: a systematic review

The need for green infrastructure has increased with the awareness towards a sustainable environment. Trees are considered one of the “green infrastructure” elements due to the “green” benefits they have provided to the urban environment. Greener environments are associated with mental health, and to the urban inhabitants, trees bring a multitude of environmental benefits. Even though there are various opinions on pro-environmental behavior (PEB), there are similar understandings of protecting and preserving the environment. Psychological Restoration (PR) is a cognitive progression in replenishing a good emotion via a connection with the natural environment and urban park. This paper reviews the literature published between 2005-2021 on SCOPUS and describes the current knowledge regarding PEB and PR connected to urban trees. Preferred reporting items for systematic reviews and meta-analyses known as PRISMA were employed, which deals with identification, evaluation, exclusion, and inclusion of data. Some studies have focused on how the natural environment can affect human health and well-being. Other studies have looked into the built environment and considered urban trees as a positive solution to stress alleviation and social cohesion. Hence, the reviews will provide a proposition for future research in the respective field to yield relevant results to the societies.

Frequency of Stillbirths in Obese Pregnant Women

Objective: To determine the frequency of stillbirths in obese pregnant women. Design of the Study: It’s a descriptive cross-sectional study. Study Settings: This study was carried out at Department of Obstetrics and Gynecology, Lady Reading Hospital Peshawar from January 2018 to July 2018. Material and Methods: In this study a total of 289 patients were observed. Detailed history was taken from each patient, period of gestation was calculated from 1st trimester scan, conducted by a person having at least 2 years post-graduate training experience in his/her respective field. Height/Weight measurements were done by the same standardized equipment’s for all enrolled patients and BMI calculation done by standard WHO formula before delivery. Baby after delivery was examined and looked for presence/absence of vital signs by the designated obstetrician. Outcome of pregnancy either alive or stillborn baby was recorded for each patient in order to fulfill the objective of study. To control bias and confounding, exclusion criteria had strictly followed. All the data was recorded on a pre-designed Proforma and subjected to analysis. Results of the Study: Our study shows that mean age of 28.87 +3.92 years Forty two percent patients were primi gravid and 58% patients were multi gravida. Forty three percent patients were primi para while 57% patients were multi para. Ninety percent babies were alive while 10% babies were still birth. Conclusion: Our study concludes that the frequency of still births was 10% in obese pregnant women. Keywords: still births, obese, pregnant women, primi para, WHO.

Curriculum Management Forming Entrepreneur Character Students In Bina Ulama Islamic Boarding School Kisaran Asahan

This study aims to find out how Curriculum Management in Shaping the Entrepreneurial Character of Santri in Islamic Boarding School Bina Ulama Kisaran Asahan. The method of research that is used is the research field (field research) that is qualitative phenomenology. Results of the study were obtained are planning curriculum At the Bina Ulama Islamic Boarding School, Kisaran is every student who has been accepted at the Boarding School, the foundation will introduce various extracurricular activities in the Boarding School, especially in the entrepreneurial extracurricular activities section. Then for students who are interested in participating in entrepreneurial extracurricular activities, the mu'allim or mu'allima who is in charge will guide and motivate these students. Organizing for the Bina Ulama Islamic Boarding School in Kisaran Asahan is important because with the organization the foundation will be easier to control and evaluate in each field, especially in the field of entrepreneurial activity. Implementation of the curriculum in shaping the character of entrepreneur students in boarding schools Bina Ulama Asahan range there are two phases of practice and theory, but here by mu'allim or mu'allimah as the person responsible for part of entrepreneurship over emphasize practice than in theory. Evaluations were conducted every month by Bina Ulama Boarding School to know what progress and what barriers were faced by those responsible for the respective field of entrepreneurial activities that will be better again.

IMPACT OF MANAGEMENT PRACTICES ON ORGANISATIONAL INNOVATION IN THE DIGITAL AGE: A STUDY OF THE MANUFACTURING INDUSTRY IN MALAYSIA

The manufacturing industry is an indispensable part of the economy, especially for Malaysia. The manufacturing sector in Malaysia is not only transforming raw material into products, but also contributing significantly to the country’s economy. Malaysia has attained a significant position in the world by exporting its manufactured goods. However, the production services always require innovation to meet the ever-changing customer demands. With the advent of Industry 4.0, the manufacturing industry faces constant challenges such as the innovation capability of organizations, and swift and frequent shifts in the use of technology. These issues may hamper the efforts of manufacturing firms to fully participate in Industry 4.0 Malaysia. Therefore, the objective of this study is to identify the influence of knowledge-oriented leadership, electronic human resource management (E-HRM), and decentralised organisational structure on organizational innovation. The current research has adopted a quantitative method to establish the relationship between these three variables and innovation in organizations. A total of 218 samples were collected from manufacturing firms located in Malaysia. Data collected through a self-administered questionnaire was examined by using SmartPLS software. The results of this research has added to the body of knowledge in the respective field by highlighting the significance of knowledge-oriented leadership and E-HRM in predicting organizational innovation. It can further help stakeholders to plan a way forward in facing Industry 4.0 through the development of innovation competencies.

A Study of Competitive Advantage through Training and Development in Hospitality Industry with special reference to The Imperial, New Delhi

The Human resource is the key resource of any organization or institute contributing to the economic development of the organization. The employees are required to be effective and efficient in their respective field. To acquire such effectiveness and efficiency, it is the responsibility of the organization to educate and develop the required skills, knowledge and abilities of its employees, as training form a key factor in improving levels of organizational productivity. The focus of the research was to study the usefulness of training programs conducted by The Imperial, identifying the techniques of training being provided to the employees and giving recommendations for the future training programs so as to increase the competitive advantage to the organization. Primary and secondary data were used for collecting information. The primary data was put together with the help of a standardized questionnaire administered to 82 employees selected through simple convenience sampling technique. The questionnaire measured the responses of the employees’ pre and posts the training program on Likert scale to check the effectiveness of the training programs organized by the hotel. SPSS has been used and Individual Sample T test and Paired T test has been used to find the result which shows that the training and development programs organized by The Imperial is effective and there is no difference in the perceived quality of male and female respondents towards training and development of the hotel. Hence, The Imperial is recommended to provide training to the employees relevant to their jobs. In this way there is less consumption of cost, time and energy.

Career Guidance using Machine Learning

Career guidance is nowadays become necessary because of its proper planning students are always in positive side and very less chances of failure in their respective field. If Career guidance is efficient then there will be excellent match between student skills and their end career goal for that many career counselling institutes using AI and ML with their domain experts for effective counselling.

A Comprehensive Study of Data Analytics & its Application in the Banking Sector

Data analysis is a process where the data is inspected, cleaned, transformed & modelled with the goal of optimizing and creating a bunch of useful information to gain and develop insights which are relevant to the organization. Data analysis has the potential to gain conclusions which can help to overtake the margin of leadership in the respective field which gives important decisions, the data analysis can be implemented in a variety of real-life applications such as the banking sector. The banks operate with so many users and staff but only a real analyst can unlock the prospects required to gain the necessary profits. We look at how data analysis can help the banking sector to achieve better overall results. This paper provides an insight about how data analytics is successfully deployed in the banking & finance sector.