Factors Influence Cloud Computing Assimilation and the Effect to IT Operational Effectiveness in Public Sector

The role of IT innovation has changed from conventional cost reduction and efficiency improvement to enhancement of public sector agency’s flexibility and adaptation to changing environment. However, a comprehensive literature review reveals that there is a lack of study of which reasons persuade the public sector to implement information technology (IT) innovation, as well as which factor and how affect the level of IT sophistication in this assimilation process and the effect to the operational effectiveness. Based on Diffusion Innovation Theory (DOI), and Technology-Organizational-Environmental framework (TOE), nine determinant are proposed to influence cloud computing assimilation. A measurement scale is developed by adopting from prior empirical studies and the context of cloud-based resources and services implementation in the Malaysian public sector were tested and evaluated using survey data from a sample of 169 agencies. Our empirical analyses lead to several key findings; Technological factor is significantly affects the relationship to cloud-based services and resources Initiation and Implementation by the agencies in the Malaysian public sector. Organizational factors significantly affects cloud-based services and resources initiation, but not significantly support the relationship to its implementation. However, Environmental factors significantly affects cloud-based services and resources implementation, but not significantly support the relationship to its initiation. Initiation to cloud-based services and resources by the agencies in the Malaysian public sector is not significantly support its implementation. The Implementation of cloud-based services and resources by the agencies in the Malaysian public sector significantly affect IT operational effectiveness

Machine learning in dam water research: an overview of applications and approaches

Dam plays a crucial role in water security. A sustainable dam intends to balance a range of resources involves within a dam operation. Among the factors to maintain sustainability is to maintain and manage the water assets in dams. Water asset management in dams includes a process to ensure the planned maintenance can be conducted and assets such as pipes, pumps and motors can be mended, substituted, or upgraded when needed within the allocated budgetary. Nowadays, most water asset management systems collect and process data for data analysis and decision-making. Machine learning (ML) is an emerging concept applied to fulfill the requirement in engineering applications such as dam water researches. ML can analyze vast volumes of data and through an ML model built from algorithms, ML can learn, recognize and produce accurate results and analysis. The result brings meaningful insights for water asset management specifically to strategize the optimal solution based on the forecast or prediction. For example, a preventive maintenance for replacing water assets according to the prediction from the ML model. We will discuss the approaches of machine learning in recent dam water research and review the emerging issues to manage water assets in dams in this paper

Anomaly Detection for System Log Analysis using Machine Learning: Recent Approaches, Challenges and Opportunities in Network Forensics

Anomaly detection identifies unusual patterns or items in a dataset. The anomalies identified for system logs will signify critical points to help debug system failures and perform root cause analysis. Various system logs are crucial sources to uncover meaningful information on a system condition. Typically, system administrators do manual review using keyword search or rule matching. However, the size of the logs keeps increasing making it a difficult and time-consuming effort to be undertaken manually. Machine learning has been widely used for anomaly detections. In this paper, we reviewed several anomaly detections for system logs using machine learning and discuss emerging research challenges and the opportunities raised from the challenges for network forensics. This paper presents the current research landscape in the area of machine learning and network forensics. It may be beneficial for references to researchers exploring the stated topics

EFFECTS OF ENTREPRENEURIAL QUALITY TOWARDS NEW VENTURE CREATION: A MULTIPLE CASE STUDY OF SUCCESSFUL NEW VENTURES IN E-COMMERCE IN MALAYSIA

Background  and  Purpose: Studies on entrepreneurship gained attention only thirty years ago and had since highlighted new venture creations and the processes towards quality entrepreneurial growth. Nonetheless, past researches had overlooked e-commerce ventures as one of the aspects of the psychology of entrepreneurship. A critical element in entrepreneurship, an entrepreneur, would be responsible for the creation and establishment of new ventures with suitable personality traits, cognition and motivation. This study, therefore, aimed to describe the importance of personality traits, cognition and motivation that can impact e-commerce new ventures creations in Malaysia.   Methodology: This study was designed as data for this study were collected using interviews on 12 entrepreneurs who ventured into e-commerce. These interviews were carried out from May 2013 to December 2014 using a multiple case study approach. Findings: Results from this study showed that seven personality traits, which were creativity, risk-taking, inspiration, autonomy and freedom, tolerance to ambiguity, diligence and persistence, as well as optimism, were the integral influence for new ventures in e-commerce. Cognitive aspects, such as personal background and experiences, as well as both internal and external motivation, also contributed to the creation of new ventures and developed their businesses. The need for achievement and interest were related to internal motivation, while interactions and networking with family members, customers, and industries, boosted external motivation.   Contributions: It is hoped that the Malaysian government would encourage more entrepreneurial activities within the country by identifying personality traits, motivation, and cognitive factors in potential entrepreneurs to expand the creations of new ventures further that can boost the economy of the country in the future. In addition, the recommendation of future study should explore the quantitative method to examine the relationship for each variable towards new venture creation in e-commerce.   Keywords: Entrepreneurship, new ventures creation, E-commerce, psychology, sociology.   Cite as: Md Fadzil, A. F., Yaacob, M. R., Mukhtar, D., Muhayiddin, M. N., Salleh, F., Mohamad Ibrahim, R., & Sallehudin, H. (2023). Effects of entrepreneurial quality towards new venture creation: A multiple case study of successful new ventures in e-commerce in Malaysia. Journal of Nusantara Studies, 8(1), 184-225. http://dx.doi.org/10.24200/jonus.vol8iss1pp184-22

Entrepreneurial Psychology and Competencies: Some Perspectives from E-Commerce Entrepreneurs in Malaysia

Over the past three decades, studies on entrepreneurship reveal its main components, particularly for new venture creation processes and have been widely discussed by the researchers. An entrepreneur is the main actor in entrepreneurship who is responsible for a new ventures creation. Most of the previous researchers had studied aspects of entrepreneurial cognitive and motivation have approached the process of new ventures creation in general, but overlooked on the e-commerce ventures. The past studies paid the least focus on entrepreneurial competencies which lead to e-commerce new venture creations. In order to fill the lacunae, this study aims to identify the role of cognitive, motivation and competencies that contribute to the creation of new e-commerce ventures in Malaysia. The case study approach was used by interviewing a total of 12 e-commerce entrepreneurs from May 2013 until December 2014. The findings revealed that personal background, work and business skills are among the important factors in the creation of new e-commerce ventures in Malaysia. As entrepreneurs are motivated internally and externally, findings from this study identified 2 types of entrepreneurial motivation which are related to internal motivation; (i) need for achievement and (ii) interest. On the other hand, external motivation as a result of interactions with conducive environment such as customers, family members and industries have increased entrepreneur’s motivation that gives impact to business success. Research findings also have found that entrepreneurial competencies in both computer and communication skills are largely contribute to the creation of new e-commerce ventures. Hence, the government plays an important role in entrepreneurial activities through the encouragement of entrepreneurs’ cognitive ability, motivation, and improve their entrepreneurial competencies. It is certainly that entrepreneurship is among the vital business market that boosts the economic development of the country through the emergence of new ventures in the future. Research paper Keywords: Entrepreneurship; New Venture Creation; Psychology; Competencies; E-Commerce Reference to this paper should be made as follows: Fadzil, A. F. M., Hashim, U. J., Yaacob, M. R., Sallehudin, H., Muhayiddin, M. N., Mukhtar, D., Salleh, F., & Mohamad Ibrahim, R. (2019). Entrepreneurial Psychology and Competencies: Some Perspectives from E-Commerce Entrepreneurs in Malaysia, Journal of Entrepreneurship, Business and Economics, 7(2), 31–7

Entrepreneurial Psychology and Competencies: Some Perspectives from E-Commerce Entrepreneurs in Malaysia

Over the past three decades, studies on entrepreneurship reveal its main components, particularly for new venture creation processes and have been widely discussed by the researchers. An entrepreneur is the main actor in entrepreneurship who is responsible for a new ventures creation. Most of the previous researchers had studied aspects of entrepreneurial cognitive and motivation have approached the process of new ventures creation in general, but overlooked on the e-commerce ventures. The past studies paid the least focus on entrepreneurial competencies which lead to e-commerce new venture creations. In order to fill the lacunae, this study aims to identify the role of cognitive, motivation and competencies that contribute to the creation of new e-commerce ventures in Malaysia. The case study approach was used by interviewing a total of 12 e-commerce entrepreneurs from May 2013 until December 2014. The findings revealed that personal background, work and business skills are among the important factors in the creation of new e-commerce ventures in Malaysia. As entrepreneurs are motivated internally and externally, findings from this study identified 2 types of entrepreneurial motivation which are related to internal motivation; (i) need for achievement and (ii) interest. On the other hand, external motivation as a result of interactions with conducive environment such as customers, family members and industries have increased entrepreneur’s motivation that gives impact to business success. Research findings also have found that entrepreneurial competencies in both computer and communication skills are largely contribute to the creation of new e-commerce ventures. Hence, the government plays an important role in entrepreneurial activities through the encouragement of entrepreneurs’ cognitive ability, motivation, and improve their entrepreneurial competencies. It is certainly that entrepreneurship is among the vital business market that boosts the economic development of the country through the emergence of new ventures in the future. Research paper Keywords: Entrepreneurship; New Venture Creation; Psychology; Competencies; E-Commerce Reference to this paper should be made as follows: Fadzil, A. F. M., Hashim, U. J., Yaacob, M. R., Sallehudin, H., Muhayiddin, M. N., Mukhtar, D., Salleh, F., & Mohamad Ibrahim, R. (2019). Entrepreneurial Psychology and Competencies: Some Perspectives from E-Commerce Entrepreneurs in Malaysia, Journal of Entrepreneurship, Business and Economics, 7(2), 31–7

Modelling the enterprise architecture implementation in the public sector using HOT-Fit framework

Enterprise architecture is very important to the public sector's IT systems that are developed, organized, scaled up, maintained and strategized. Despite an extensive literature, the research of enterprise architecture is still at the early stage in public the sector and the reason to explain the acceptance, as well as the understanding of the implementation level of EA services still remains unclear. Therefore, this study examines the implementation of EA by measuring the Malaysian public sector's influence factors of EA. Grounded by the Human-Organization-Technology (HOT-Fit) Model, this study proposes a conceptual framework by decomposing Human characteristics, Organizational characteristics and Technological characteristics as main categories in assessing the identified factors. A total of 92 respondents in the Malaysian public sector participated in this study. Structural Equation Modelling with Partial Least Square is the main statistical technique used in this study. The study has revealed that human characteristics such as knowledge and innovativeness to EA and technological characteristics such as relative advantage and complexity of EA influence its implementation by the Malaysian public sector. Based on the findings, the theoretical and practical implications of the study as well as limitations and future works are also discussed

No More Starving with Food Delivery Applications, But Why Should I?

Food delivery applications are rapidly expanding and have become popular and successful in many countries. However, this sector is still in its initial stage, particularly in developed and emerging markets. This research aims to evaluate factors that affect consumers’ intention to use food delivery applications in Malaysia. First, create customer encounters with food delivery by smartphone devices by introducing a diffusion of the innovation model. Five characteristics: relative advantage, compatibility, observability, complexity, and trialability, were used to assess consumer intention in food delivery applications. A total of 218 valid samples were obtained from Malaysian consumers. This research shows a positive influence on the intention. A five-attribute perception was used to determine the intention to use food delivery applications. Together, these results have a critical managerial impact on core players, for example, food delivery companies or restaurants. One of the main implications is that food delivery companies must make their applications easy to access, smooth, and enjoyable

Green Software Process Factors: A Qualitative Study

In the twenty-first century, the use of software is growing due to many applications requiring large and complex software. Many people do not realise that the use of software has influenced the operation of computer hardware to move indirectly as it affects the hardware’s energy consumption and carbon emissions. Previous studies focused more on models and tools to measure the impact of power consumption and energy efficiency from hardware than on software development studies. Energy consumption can be optimised by the greening software process throughout all phases of development activity. Besides, the current green software process models are more focused on environmental and economic elements and do not integrate with the waste elements in the development phase. Integrating sustainability and waste elements is essential to ensure that the development process complies with green process standards. A qualitative method is used through interviews involving eight informants from Malaysia’s public and private sectors. The objectives of the empirical study are to reveal the current practices of the green software process in industry, identify software process waste and determine green factors associated with the software process. The analysis is guided by a thematic approach using Atlas.ti 8 software. This paper describes the results from the qualitative study that consists of three main themes: best practices of a software process, nine software wastes (building the wrong feature, rework, unnecessarily complex solutions, extraneous cognitive load, psychological distress, waiting, knowledge loss, ineffective communication, delay), and six green factors (resources, people, organisational, technical, environmental, technology). The analysis findings indicate that the software industry needs elements of best practices, green practices, and software technologies in each development phase to produce a green and sustainable software process. The advancement of computing today presents technology as an essential factor in green elements to ensure that the software process is constantly updated and always green