Search results

The purpose of this paper is twofold. First, it aims to furnish empirical evidence on science, technology and innovation governance in the ASEAN Member States (AMS). This is followed by the understanding of the evolution of technology commercialization activities in Indonesia, the Philippines, Cambodia, Laos and Brunei. Second, the study analyzes the activities of academic-industry technology transfer, barriers in the commercialization of research outputs from universities and its implications in the six AMS countries. The criterion to choose these ASEAN countries is to understand the significance of policy implications and technology transfer in the economy of developing nations/low-middle-income nations.

The qualitative data was retrieved from various secondary and published literature sources. The information from the official ministry website was referred to along with the reports published in various countries.

The evidence suggests that the nature and extent of technology dissemination are based on policies that are triggered by the primary goals at the national level. The primary goals for supporting science and technology differ in terms of financial budget for stimulating R&D; diffusion of technology transfer; managerial gaps in business; systems for facilitating change; and human resources and intellectual assets. The paper concludes by recommending a few strategies to improve STI among low-middle-income countries among AMS.

This paper is an original contribution, to the best of the authors’ knowledge, on the effectiveness of public policies for academic technology commercialization among low-middle-income countries among AMS.

Protection of intellectual property (IP) is important to leverage its commercial potential. This study aims to examine and comprehend the level of understanding of intellectual property rights (IPR) among Indian academics. The study covers three main aspects – awareness level of IP among Indian academics, comprehending if the current state of knowledge about IP is useful for commercialization and whether the current knowledge of IP activities among Indian academics is sufficient to support their professional career and generate revenues from their inventions.

A structured methodology was contemplated and applied. A cross-sectional study with a convenience sampling method was adopted. The duration of the study was six months from March to August 2021. A total of 500 Indian academics were approached, of which 116 responded with a response rate of 23.4%. A structured questionnaire was administered to the participants to understand their level of knowledge about IP. Furthermore, the data analysis was performed based on descriptive analysis.

The study findings revealed that the awareness among the participants about IP was minimal. The underlying reasons could be academics did not focus on generating IP through novel research, awareness of basic knowledge about IP was considerably low and inadequate to support their professional career, primary focus was on which publications are considered as one of the important criteria for performance management, national policies do not encourage collaborative research between university and industry that may lead to potential IP generation and the Indian academic set-up expects multitasking by its faculty members.

To the best of the authors’ knowledge, this paper is an original contribution, based on the study carried out by the authors to understand the awareness of IP activities among Indian academics.

This study utilizes Bourdieu’s concepts of field, capital and habitus to investigate the networking strategies of Asian and Black knowledge workers in the London Insurance Market. It also examines the factors contributing to the success or failure of these strategies. The trading activities of the London Insurance Market are underpinned by interdependent relations among its participants. It provides an appropriate context for examining the networking strategies adopted by Asian and Black workers to accelerate their careers.

This research employed a qualitative methodology, gathering data from 24 participants through semi-structured interviews. Participants were selected using purposive, convenience, and snowball sampling methods. Thematic analysis was used to analyze data and develop aggregated concepts from the identified themes and subthemes.

The London Insurance Market accords great importance to networking. Interpersonal connections significantly influenced career progression, often overshadowing educational attainments. Asian and Black workers faced systemic nepotism and limited access to influential networks in this field. Participants strategically used their interactions to overcome these challenges and advance their careers. Many believed that their careers had a better chance of progressing through informal networks than through formal channels such as Human Resources. Some participants declined to engage in the commonly accepted networking practices, choosing alternative ways to further their careers.

Findings underscore the need for implementing specific organizational policies to address systemic biases and nepotism, particularly in front-office recruitment. Such policies could include prioritizing merit-based hiring practices and developing targeted initiatives to reduce the underrepresentation of minority ethnic workers in front-office positions. By adopting these measures, organizations can create more equitable career advancement opportunities and leverage the full potential of their diverse workforce.

This study contributes to the existing literature on minority ethnic workers' careers, networking theory and workplace diversity. It provides insights into the networking strategies of Asian and Black workers within the London Insurance Market, revealing that these strategies are dependent on contextual factors. The study also highlights the pervasive practice of nepotism deeply ingrained in the habitus of the London Insurance Market and which acts as a barrier for gaining access to influential networks.

Housing is one of the basic necessities of humankind for survival and purchasing a home is often a substantial milestone. Individuals exhibit complex behaviour influenced by various factors while making decisions related to the purchase of residential properties. While most of the earlier studies have focused on understanding the purchasing behaviour of home buyers’ in developed countries, the research is limited on this topic in developing countries such as India. The booming information technology industry has rapidly increased the demand for residential properties among the migrant population in Bengaluru, India’s largest technology hub. Real estate developers strive to meet the requirements of prospective customers through innovative ways but face challenges in a competitive market.

It is essential to understand the factors influencing home buyers’ purchase attitudes for increasing property sales. However, a lack of research on this subject is identified in the emerging city of Bengaluru. This study aims to analyse the determinants of home buying decisions for potential investors in Bengaluru through structural equation modelling to provide insights for the real estate industry to construct houses as per their customers’ needs.

It was found that housing amenities, financial aspects, location conveniences and marketing services significantly influenced home buyers’ purchase decisions, whereas housing features do not.

The findings of this study offer valuable insights for governmental bodies to implement appropriate policies and for builders to design properties with features that cater to the target population, thereby promoting sustainable growth in the real estate industry.

The behavioural decision-making process of individuals highlights the importance of investors’ sentiment and their correlation with the real economy. This paper aims to contribute to the literature of behavioural finance by examining the influence of contextual factors on investment decision-making.

Using a questionnaire, a total of 445 valid responses were collected from March to May 2021 through online sources. The current study uses a technique of Fuzzy-analytical hierarchical process (AHP) to assign relative weights to various contextual factors influencing investment decision-making. Harman’s single factor test was used to check common method bias.

Results of the study reveal that accounting information, self-image/firm-image coincidence, and neutral information as the top-ranked factors in influencing investment decisions, whereas advocate recommendation and personal financial needs emerged as less important factors in influencing investment decisions.

The current study collects data from Indian stock market investors, which may limit the generalization of the study to India only. Moreover, this study is cross-sectional in nature, and there are numerous factors that are not part of the study but might significantly influence the investors’ decision-making process.

The research has implications for both academicians working in the area of behavioural finance and practitioners’ who are active in stock markets, more specifically dealing with retail investors and in the domain of personal finance. Also, the current study will accommodate different groups, i.e. policy makers, financial advisors, investors, investment professionals, etc. in carrying out their professional work.

The current study will provide a comprehensive overview of individual investor behaviour. To the best of the authors’ knowledge, the present study is one of its kind to use the Fuzzy-AHP technique for evaluating the relative ranks of contextual factors influencing investment decision-making.

An efficient e-waste management system is developed, aided by deep learning techniques. Here, a smart bin system using Internet of things (IoT) sensors is generated. The sensors detect the level of waste in the dustbin. The data collected by the IoT sensor is stored in the blockchain. Here, an adaptive deep Markov random field (ADMRF) method is implemented to determine the weight of the wastes. The performance of the ADMRF is boosted by optimizing its parameters with the help of the improved corona virus herd immunity optimization algorithm (ICVHIOA). Here, the main objective of the developed ADMRF-based waste weight prediction is to minimize the root mean square error (RMSE) and mean absolute error (MAE) rate at the time of testing. If the weight of the bins is more than 80%, then an alert message will be sent to the waste collector directly. Optimal route selection is carried out using the developed ICVHIOA for efficient collection of wastes from the smart bin. Here, the main objectives of the optimal route selection are to reduce the distance and time to minimize the operational cost and the environmental impacts. The collected waste is then considered for recycling. The performance of the implemented IoT and blockchain-based smart dustbin is evaluated by comparing it with other existing smart dustbins for e-waste management.

The developed e-waste management system is used to collect the waste and to avoid certain diseases caused by the dumped waste. Disposal and recycling of the e-waste is necessary to decrease pollution and to manufacture new products from the waste.

The RMSE of the implemented framework was 33.65% better than convolutional neural network (CNN), 27.12% increased than recurrent neural network (RNN), 22.27% advanced than Resnet and 9.99% superior to long short-term memory (LSTM).

The proposed E-waste management system has given an enhanced performance rate in weight prediction and also in optimal route selection when compared with other conventional methods.

The purpose of this study is to find out what is the relationship between sustainability toward consumer behavior. Consumer behavior is the method of choosing, buying and using goods and services with an attachment to needs and wants. Now consumers are aware about sustainability, they make purchase decisions according to environmental safety, benefit to the society and increase economic growth.

This study validates the result through experts in textile industry by using the Decision-Making Trial and Evaluation Laboratory approach. This method has many benefits which provide decision makers and experts to understand the interdependence and influential relation between the criteria by hierarchical approach.

According to the results, green culture (F8) and green brand (F3) are the most influential (causal) factors and exert a substantial amount of influence over other factors for achieving organizational performance and sustainability. On the other hand, past experience (F14) and time pressure (F12) are the most influenced (effect) factors that are highly influenced by other factors.

The study conducted in Pakistan underscores the significance of maintaining a healthy and pristine environment for future generations. Both consumers and organizations play a vital role in this endeavor. It is imperative that they actively promote and support goods and services that advocate for sustainability.

Mangers should use long-term strategies that meet the high product value to enhance the organization’s reputation, so it will have positive consumer perception. If managers make policies to implement natural resources in their raw material, so this policy avoids conflicts and maintains a balance in our society.

This research delves into the complexities and subtleties associated with the identification and examination of the interconnections between the success factors of sustainability and consumer behavior.

Rapid tooling (RT) integrated with additive manufacturing technologies have been implemented in various sectors of the RT industry in recent years with various kinds of prototype applications, especially in the development of new products. The purpose of this study is to analyze the current application trends of RT techniques in producing hybrid mold inserts.

The direct and indirect RT techniques discussed in this paper are aimed at developing a hybrid mold insert using metal epoxy composite (MEC) in increasing the speed of tooling development and performance. An extensive review of the suitable development approach of hybrid mold inserts, material preparation and filler effect on physical and mechanical properties has been conducted.

Latest research studies indicate that it is possible to develop a hybrid material through the combination of different shapes/sizes of filler particles and it is expected to improve the compressive strength, thermal conductivity and consequently increasing the hybrid mold performance (cooling time and a number of molding cycles).

The number of research studies on RT for hybrid mold inserts is still lacking as compared to research studies on conventional manufacturing technology. One of the significant limitations is on the ways to improve physical and mechanical properties due to the limited type, size and shape of materials that are currently available.

This review presents the related information and highlights the current gaps related to this field of study. In addition, it appraises the new formulation of MEC materials for the hybrid mold inserts in injection molding application and RT for non-metal products.

As every day work is central to people's lives and events serve as significant contextual factors, examining what impact the coronavirus disease 2019 (COVID-19) pandemic restrictions had on knowledge workers warrants further investigation. The author's research question investigated how employees in the London Insurance Market had made sense of their work identities during a period of mandated remote work and isolation from co-workers, leaders and others, amidst a turbulent environment. To address this enquiry, this research drew on Goffman's institutional, dramaturgical and stigma theories.

Data used in this research are from an ongoing PhD study of how individuals conceive, construct and conduct their careers in this field. As individuals and their social worlds are interwoven, a qualitative methodological approach was employed in this research.

Participants were thrusted into a position where they had no prior knowledge what identity they should adopt in a situation which had totalising characteristics. The loss of clear boundaries between work and home setting caused a deterioration of participants' work identities whilst physical separation from their institutions and co-workers posed a risk of disconnecting their past work identities from the present. Moreover, participants' experiences of deterioration and disconnection were intertwined with their demographic and occupational identities.

This study aligns with existing research on identity work, emphasising the crucial role of social interaction in the formation of work identities. However, it also highlights that the establishment and sustenance of work identities is also reliant on individuals having separate frontstage and backstage settings to understand and interpret their conduct and those of their significant others.

This paper aims to identify the role of internet of things (IoT) in water supply chain management and helps to understand its future path from the junction of computer science and resource management.

The current research was studied through bibliometric review and content analysis, and various contributors and linkages were found. Also, the possible directions and implications of the field were analyzed.

The paper’s key findings include the role of modern computer science in water resource management through sensor technology, big data analytics, IoT, machine learning and cloud computing. This, in turn, helps in understanding future implications of IoT resource management.

A more extensive database can add up to more combinations of linkages and ideas about the future direction. The implications and understanding gained by the research can be used by governments and firms dealing with water management of smart cities. It can also help find ways for optimizing water resources using IoT and modern-day computer science.

This study is one of the very few investigations that highlighted IoT’s role in water supply management. Thus, this study helps to assess the scope and the trend of the case area.