by Ai-Chi Hsu, Po-Yuan Shih and Ting-Wei Wu
Original Research
In recent years, the degree of air pollution and climate change caused by greenhouse gases has become more and more serious, and the greenhouse gases emitted by various countries have continuously aggravated the global greenhouse effect. As a result, the United Nations and governments have drawn up plans and laws to control greenhouse gas emissions strictly. Many international organizations are also investing in greenhouse gas reduction programs, and many countries will have to consider greenhouse gas emissions data if they want to receive subsidies from the United Nations or investments from financial unions in the future. This study intends to analyze the economic and greenhouse gas emission reduction efficiency of OECD member states through the two-stage data envelopment analysis method. The results show that only four countries have a total efficiency score of more than 0.5, Estonia, Iceland, Latvia, and Luxembourg. Among the four countries, only Estonia and Latvia have national economic efficiency and greenhouse gas emission reduction efficiency above average. In contrast, Iceland and Luxembourg have national economic efficiency far above greenhouse gas emission reduction efficiency. Conversely, Latvia is the most efficient of the four countries in reducing greenhouse gases. The results of this study will provide a reference for the United Nations and international organizations to promote global greenhouse gas emission reduction.
Journal of Business and Management Sciences. 2023, 11(3), 218-228. DOI: 10.12691/jbms-11-4-1
Pub. Date: July 10, 2023
565 Views3 Downloads
by Amgad Moustafa Abdelaal, Hussein Seoudy and Mona Kadry
Original Research
Purpose: The research is focused on finding out the challenges facing the Egyptian’s manufacturing small and medium size enterprises during “Covid-19”, and the effect of the three main key players “Enterprise Management, Government and Financial Services providers” on supporting the manufacturing SMEs to absorb the stiffness of the crisis challenges. Aim and objectives: the research aims that based on the challenges study, the research will provide enlightenment through proposing solutions, not only to overcome the current crisis “Covid-19”, but also to learn how to be prepared in the future for such unpredictable events. Hypotheses: The researcher constructed three basic hypotheses in order to test and measure how far are the relations between the variables, based on, that the challenges are dependent variable and the independent variables (Enterprise Management, Government, FSPs). Design/methodology/approach: The study proposes a research model that was established based on comprehensive research and a fully constructive literature review that simulates the variables and the relationships among all these variables. The target population are mainly the Egyptian Small & Medium Size manufacturing enterprises. Main results: The results of the data analysis revealed that independent predictor variables were found significantly affecting the dependent variable. More over the research proposes solutions that have influence in the role of the key players to support the Egyptian’s manufacturing small and medium size enterprises to overcome the challenges of the pandemic and any future unprecedented crisis.
Journal of Business and Management Sciences. 2023, 11(3), 205-217. DOI: 10.12691/jbms-11-3-5
Pub. Date: June 27, 2023
548 Views1 Downloads
by Hussien Youssef Elabshihy and Mohamed Saad
Original Research
Purpose: This study is one of the requirements for preparing a professional doctoral dissertation on digital transformation, change management, and project management applied to the private electricity sector in Egypt. Aim and objectives: Describe the extent of the reality of the Digital Transformation of the private Electricity sector in Egypt. Disclosure of the interest in the Electricity sector in Egypt to benefit from Digital Transformation in achieving Change Management. Determining the extent of interest in our Electricity sector in Egypt to benefit from Digital Transformation in Project Management Efficiency. Identify the extent of Change Management with achieving Project Management Efficiency in the Electricity sector in Egypt. Determining the extent of the impact of Digital Transformation on Project Management Efficiency through Change Management in the Electricity sector in Egypt. Hypothesis: Based on the empirical literature, the model expressed the digital transformation relationship as an independent variable that consists of three basic dimensions including (Employee Digital Skills (DS) - Digital Transformation Strategy (DTS) - Digital Technology (DT). change management as an intermediate variable uses the ADKAR model to investigate the role of each change management which consists of main dimensions (Awareness- Desire- Knowledge- Ability- Reinforcement). Finally, the principles of project management as a dependent variable and it consists of the following dimensions (Company’s main features- Project management process-Project, Program, and Portfolio Performance). Design/methodology/approach: Depending on the nature of the subject of the study and the information that must be obtained to reveal the effect of Digital Transformation (as an independent variable) on Project Management Efficiency (as a dependent variable), Change Management as a mediator variable and through the questions that the study seeks to answer, this study relied on the descriptive analytical approach, data were collected in the field through the survey list in the field study to test the validity of the assumptions on which the study was based. By obtaining this data from employees in the Electricity sector companies in Egypt. Main results: The study found There is a statistically significant impact of Digital Transformation on Change Management in the Electricity sector in Egypt the study found There is a statistically significant effect of Change Management on the Project Management Efficiency of the Electricity sector in Egypt. The study found that Digital Transformation has a statistically significant impact on Project Management Efficiency in the Electricity sector in Egypt. The study found that Digital Transformation has a statistically significant impact on Project Management Efficiency through Change Management in the Electricity sector in Egypt. Recommendation: Working to support Change Management through Ensure that workers are aware of the objectives of change in companies. That all workers have ample opportunities in the process of change. Ensure that employees have clarity about change. Working to support Digital Transformation through: Companies provide employees with resources or opportunities to acquire digital skills appropriate for digital transformation. Companies are interested in providing employees with resources or opportunities to acquire digital skills appropriate for digital transformation. Work to support Project Management Efficiency through Ensure that communication flows mainly between similar hierarchical levels. Ensure that all projects use the project management information system.
Journal of Business and Management Sciences. 2023, 11(3), 189-204. DOI: 10.12691/jbms-11-3-4
Pub. Date: June 06, 2023
585 Views3 Downloads
by Roger Kibet Kiplagat and Morrisson Mutuku
Original Research
Performance has always been the most important and pressing problem for any firm worldwide. The research aimed at determining the inclusion of Artificial Intelligence such as fault detection, data mining, information inference and pattern recognition on the performance of sensor management system. The research was anchored on Technology Acceptance Model whereby descriptive and exploratory research design was adopted. The study target population was 360 and the sample size of 108 respondents were selected which represented the 30% of the target population. The researcher personally administered the questionnaire to the respondents, drop and pick method was adopted. Data were analysed by the use of descriptive, rational and inferential analysis. It can be revealed that the inclusion of artificial intelligence enables fault detection to be completed quickly, increasing user efficiency. In addition, the management system and procedures are done effectively with the inclusion of artificial intelligence. For effective data analysts to make decisions in real time, data mining is crucial. Since pattern recognition generates more value for a business, it is widely known that the sensor management system's effectiveness partially rely on data inferencing. According to the study, Nairobi City Water and Sewerage Company should regularly train their employees on the newest addition of artificial intelligence trends. To increase effectiveness, the sensor management system should be integrated. Create new competitive strategies and increase technology investments in pattern recognition.
Journal of Business and Management Sciences. 2023, 11(3), 182-188. DOI: 10.12691/jbms-11-3-3
Pub. Date: June 06, 2023
486 Views
by Dina Kordy
Original Research
This research studies factors affecting Intention towards Green Consumption through a comparative study of the impact of Company Controlled Variables (Advertising Message and Social Media Effect) and Market Controlled Variables (Government Regulations and Availability of Green Products), on Egyptians’ Intention towards Green Consumption. The study followed a mixed methodology of qualitative and quantitative approaches; ten in-depth interviews were conducted with subject matter experts. Then, a structured questionnaire was distributed on target respondents; 396 responses were collected and analyzed using SPSS version 23. The findings of the study showed that Company Controlled variables had positive significant relation with Intention towards Green Consumption. Market Controlled variables were found insignificant. The research closed the gap in literature through the comparative study conducted, which was not done before. It tested new relations, provided new insights and included new variables. The study is aspired to be of value for governments and marketers, explaining the variables most affecting Intention towards Green Consumption for better green initiatives’ design, promotion and easier market penetration.
Journal of Business and Management Sciences. 2023, 11(3), 176-181. DOI: 10.12691/jbms-11-3-2
Pub. Date: June 04, 2023
481 Views5 Downloads
by Jeremiah Wakhungu Kelvin and Mutuku Morrisson
Original Research
This study explored how big data analytics and performance of private hospitals is related. Private hospitals in Kenya is very vital in provision of healthcare services. Kenya has established itself as a medical hub in East African nations due to the number of quality affordable hospitals facilities it has impressed. Growth and rise in economy in the region has also contributed on private hospitals expansion to cater for the high demand quality affordable healthcare services. Big data analytics has transformed conventional ways of business operations through its advanced analytic technological tools. Big data analytics, the process of identifying patterns, correlations, and trends in massive amounts of unstructured data to assist in the data-driven decision-making not only gathers and analyze data but also provide insights by efficiently utilizing available talent resources, technology, and data through firm’s wide roles. While playing a vital role in enhancing healthcare and improving people's lives, most private hospitals have been experiencing performance bottlenecks. The general objective of the study was to establish the relationship of big data and performance of private hospitals in Nairobi County, Kenya. The specific objectives for the study were to establish how big data technology capability, service responsiveness, financial measures and services quality relates to performance of private hospitals. This study was guided by four theories namely, Adaptive Structuration Theory, Diffusion of Innovation Theory, Dynamic Capabilities Theory and Resource Based View. The study adopted descriptive research design. The target population for the study was 120 participants. A census survey was conducted, and all 120 staff members of private hospitals were required to participate. To gather primary data, both open-ended and closed-ended questionnaires were used. The study used the pick-and-drop approach to gather its data. While Cronbach's Alpha was used to assess reliability, content validity was used to assess the questionnaire's validity. Using SPSS Version 26, descriptive and inferential statistics were used to examine the quantitative data, while content analysis was used to study the qualitative data. Frequency distribution tables and percentages were used to display descriptive statistics. Regression and other inferential analysis were used to analyze the relationships between the independent and dependent variables. All ethical requirements, particularly secrecy, anonymity, permission, and avoiding prejudice, were followed. The study revealed that there was a strong significant correlation between big data capability and performance, a strong significant correlation between service responsiveness and performance, a strong significant correlation between financial measures and performance and a medium correlation between service quality and performance. The study concluded that big data analytics capabilities and performance of private hospitals was indeed related and this was attributed to patient satisfaction, high quality, and cost effective patient services. It was recommended that private hospitals should focus on financial measures and its KPIs, service quality delivery strategies and adoption of new technology that brings change to organizations through various organization investments. The researcher proposed conducting more research.
Journal of Business and Management Sciences. 2023, 11(3), 169-175. DOI: 10.12691/jbms-11-3-1
Pub. Date: May 14, 2023
436 Views