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Strategy formulation and implementation in the zimbabwean food manufacturing sector
This study focused on examining the influence of strategy formulation and implementation on the performance and competitive advantage of the foodmanufacturing companies in Zimbabwe. The study was prompted by the fact that newlinestrategy is essential in every organisation and that competing in the market is like newlinewar, you have injuries and casualties and the best strategy wins . More so, even though the food-manufacturing companies are essential to the Zimbabwean economy, there has been limited research on the area of strategy formulation and implementation. The study applied both quantitative and qualitative approaches because looking at the same problem from several viewpoints is an excellent way to verify data and come up with interpretation and conclusions. It is in view of this fact that the researcher used the triangulation approach, which is a combination of both philosophies, qualitative and quantitative data. The research was a survey because it allowed the research to collect data from a sizeable number of participants in 10 foodmanufacturing companies in Zimbabwe. The researcher used personal judgement in selecting the companies to be part of the study. The data was collected from directors and managerial employees, who are largely involved in the process of strategy formulation and implementation. The researcher used the questionnaires and the indepth interviews as research instruments. SPSS was the quantitative data analysis and qualitative data analysis was using thematic analysis. The study found out that foodmanufacturing companies in Zimbabwe were facing performance related challenges and there were mixed responses on the extent to which they were failing to meet financial, customer, internal business process improvement, and learning and growth targets. The food-manufacturing companies implemented marketing, human resource, financial and operations strategies but were not successful in their endeavours. -
Strategy Formulation and Implementation in Zimbabwe's Food Manufacturing Industry
International Journal of Science and Research, Vol-3 (5), pp. 849-855. ISSN-2319-7064 -
Impact of social media conversations on consumers online purchase intention
The objective of this paper is to explain how social media has impacted the consumer decision process as heavy use of social media has created a new landscape which lays out a new avenue for personal connections. The paper also explores how individuals are seeking information on social media and how they are processing and selecting the information before making the final purchase. The empirical data for the study has been gathered using a structured questionnaire. The descriptive statistics were performed for the select parameters of the survey instrument. The findings confirm that there is significant variance between age, income, occupation, and gender with online purchase intention of consumers. Also, the results confirm that social conversation is a significant predictor of online purchase intentions. The research findings suggest that consumers in India are actively utilising social media platforms as a key tool in validating their purchase decision. The research also explains various indicators that can be utilised by potential companies to analyse the decision-making process via social media sites. Copyright 2022 Inderscience Enterprises Ltd. -
Role of Financial Literacy and Digital Financial Inclusion on Sustainable Development Among The Mao-Naga Tribe of Northeast India
This research empirically analyses the influence of financial literacy and digital financial inclusion on sustainable development. The notion of financial newlineliteracy, adopted from the Organisation for Economic Co-operation and Development, combines financial awareness, attitude, knowledge, and behaviour to achieve financial well-being. Digital financial inclusion is the process by which individuals or households in the underserved or unprivileged section of society have access to formal financial services through innovative digital technologies. The main features of digital financial inclusion include reduction of costs, security, ease of access, usefulness, and actual usage of digital financial services. The current study collected data from the Mao-Naga tribe of Manipur and newlineNagaland, Northeast India using a convenient and purposive sampling method. The research method is quantitative in nature, and primary data were collected from adult individuals who were 18 years old or above. These respondents were eligible and able to manage their own bank accounts independently. The study has a crosssectional time horizon with a deductive approach. The data consisted of 1147 samples of Mao-Naga tribe adults using a structured questionnaire on a seven-point newlineLikert scale. The statistical technique of Statistical Packages of Social Science newline(SPSS) software was utilised to ascertain the descriptive result of the study. The newlinehypothesis testing was conducted using the Partial Least Square Structural Equation newlineModelling (PLS-SEM) statistical model. The SMART-PLS 4.0 software was employed to test the hypotheses of PLS-SEM, explanatory variance, effect size, PLS predict, and importance-performance map analysis (IPMA). Financial literacy and sustainable development were analysed from a reflective-formative approach of higher-order constructs. This research indicates that financial literacy and digital financial inclusion can positively influence sustainable development among the Mao-Naga tribe. -
Mainstreaming Northeast Tribal Women in India through Financial Education: A Systematic Review
Financial education is required to enhance financial literacy for socio-economic development. This paper aims to understand the financial literacy level among the Scheduled Tribes of India, specifically the Mao-Naga Tribe women of Northeast India. The current paper is based on secondary data and adheres to the steps and process of a systematic review. Prominent authors, times, tribes, countries, journals, and keywords have been identified for the comprehensive analysis. Since the goal of this paper is to review the existing literature regarding financial literacy among tribals, the findings indicate that financial education intervention, socio-cultural practices, social affinity, and early life financial experience affect individuals financial literacy. It has also been observed that a productive pathway to achieve financial literacy and inclusion lies in integrating financial education programs within the socio-cultural practices of tribal women. Thus, financial literacy can enhance the financial well-being that is necessary for socio-economic development among Mao-Naga Tribal women. This paper can help governments, central bank regulators, and researchers know the essential elements of financial literacy and identify the pertinent areas for further empowerment among sub-groups of the population, especially among tribal women of Northeast India. 2022 Journal of International Womens Studies. -
Can mobile wallet usage contribute towards environmental sustainability? Evidence from a moderated mediation approach
This research empirically examines the antecedent factors influencing the relationship between mobile wallet use and environmental sustainability. The study adopted the UTAUT2 model with constructs of effort expectancy, performance expectancy, price value, mobile wallet usage, perceived security, and environmental sustainability. The research model was tested using a questionnaire-based response from 535 Indian Northeast tribal customers through a cross-sectional approach and examined the moderated mediation effect among the latent constructs. Partial least squares structural equation modelling was used to analyse the hypotheses and explain the variance, effect size, predictive relevance, and IPMA matrix. The results of this paper indicate that antecedent factors statistically and positively impact mobile wallet usage, contributing towards environmental sustainability. The outcome of this study encourages customers to adopt digital financial technology to promote environmental protection and reduce all forms of pollution. The findings help policymakers and mobile wallet service providers prioritise marketing attributes to enhance mobile wallet adoption. Moreover, managers should design tactics to augment confidence among older clients. 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. -
Can mobile banking apps usage contribute towards the environmental sustainability: a mediation analysis
In digital transformation, digital finance has emerged as an alternative to conventional financial services. Currently, digital financial aspects and environmental sustainability are urgent issues receiving research attention for environmental mitigation. This empirical research addresses digital finance on environmental sustainability through mobile banking app usage. It is among the convenient digital financial technologies developed in recent years for the benefit of various stakeholders. The current model integrated UTAUT2 with perceived security and environmental sustainability. The partial least square structural equation modelling was used to test the hypothesis and other statistical power. This paper provides sustainable perspectives encouraging the Indian tribals to adopt digital technology in financial transactions. The findings have several important policy implications for developing countries, particularly vulnerable populace and those settled in remote areas. This research confirms the positive relations of mobile banking app usage on environmental sustainability through a cross-sectional approach. Copyright 2022 Inderscience Enterprises Ltd. -
HEALTH PSYCHOLOGY IN INTEGRATIVE HEALTH CARE
The 8th International Conference of Indian Academy of Health Psychology (ICIAHP 2023) gathered leading experts, researchers, and professionals to exchange insights and explore innovations in mental and physical well-being. Featuring workshops on trauma release, hypnotherapy basics, mindfulness-based CBT, and suicide prevention, ICIAHP offered a diverse learning experience. Distinguished speakers from national and international universities attended the conference. The conference catered to health psychology professionals, researchers, educators, and scholars. ICIAHP 2023 stood out for its comprehensive program, renowned speakers, and ample networking, providing a platform for holistic learning and collaboration. 2024 selection and editorial matter, Dr. Sundeep Katevarapu, Dr. Anand Pratap Singh, Dr. Priyanka Tiwari, Ms. Akriti Varshney, Ms. Priya Lanka, Ms. Aankur Pradhan, Dr. Neeraj Panwar, Dr. Kumud Sapru Wangnue; individual chapters, the contributors. -
The world of communication & computing platform in research perspective: Opportunities and challenges
Computing paradigms are introduced for solving complex problems by analyzing, designing and implementing by complex systems. Computing can be defined as the effective use of computer or computer technology to solve tasks that are goal oriented. Computing is used in development of producing scientific studies, building intelligent systems, channeling different media for communication. Over the last few years, internet became so popular which lead to the increase in computer processing capacity, data storage and communication with one another. Computing has evolved from one technology to another in its field and formed a robust framework over the years. In this paper a survey on different computing paradigms like evergreen computing is cloud computing, to deal with basic scheduling is grid computing, for multi task handing is parallel computing, to handle smart phone data's that is mobile computing, cluster computing, and distributed computing is carried out. These technologies improved the way computing functions and made it easier to the computer world. The applications and research issues of the most of the computing paradigms are discussed in this article. The recent research issues in computing platform are scheduling and security. The scheduling is dealing with data processing from one computing platform to other computing device. Security is one of the important research issues. 2021 IEEE. -
Food calorie estimation using convolutional neural network
The modern world healthy body depends on the number of calories consumed, hence monitoring calorie intake is necessary to maintain good health. At the point when your Body Mass Index is somewhere in between from 25 to 29. It implies that you are conveying overabundance weight. Assuming your BMI is more than 30, it implies you have obesity. To get in shape or keep up the solid weight individuals needs to monitor the calorie they take. The existing system calorie estimation is to be happened manually. The proposed model is to provide unique solution for measuring calorie by using deep learning algorithm. The food calorie calculation is very important in medical field. Because this food calorie is provide good health condition. This measurement is taken from food image in different objects that is fruits and vegetables. This measurement is taken with the help of neural network. The tensor flow is one of the best methods to classify the machine learning method. This method is implementing to calculate the food calorie with the help of Convolutional Neural Network. The input of this calculated model is taken an image of food. The food calorie value is calculated the proposed CNN model with the help of food object detection. The primary parameter of the result is taken by volume error estimation and secondary parameter is calorie error estimation. The volume error estimation is gradually reduced by 20%. That indicates the proposed CNN model is providing higher accuracy level compare to existing model. 2021 IEEE. -
Implementation Strategies for Green Computing
In this chapter, we look at how renewable energy sources can be integrated into the planning, design, and construction of long-term sustainability in green buildings. When it comes to establishing a framework for environmentally friendly building, there are two primary schools of thought. One is related to the use of conventional architecture and low-energy construction material. The fundamental focus of green building design is on using renewable energy solutions for the purpose of managing energy protection. When referring to a green building, either sustainable construction or green construction may be used instead. To guarantee a structure will last for its intended purpose and the environment will not be harmed in the process, sustainable construction practices should be included from the start. Additionally, the economics of renewable energy are presented in this chapter with eco-friendly construction practices that make use of renewable energy sources. 2024 selection and editorial matter, Vandana Sharma, Balamurugan Balusamy, Munish Sabharwal, and Mariya Ouaissa. -
Investigating the Use of Natural Language Processing in Electronic Medical Record
Natural language processing (NLP) implemented in digital scientific records (EMRs) can substantially enhance the nice and efficiency of affected person care. The purpose of NLP implemented in EMRs is to extract applicable facts from affected persons' notes written in a human language together with English. This information can then be stored in a suitable structured form for further evaluation and records mining. NLP has been carried out in the clinical field for the reason that Fifties as a green approach for retrieving textual content-based data and reading interactions among affected persons and healthcare professionals. With the arrival of electronic facts, NLP has come to be extra extensively applied for the diffusion of purposes, inclusive of automatic coding, scientific choice aid, and medical doctor order access. This summary makes a of exploring the usage of NLP in EMRs. The scope of this research consists of an evaluate of present NLP technologies and their software in EMRs. It additionally outlines a number of the present-day demanding situations inside the use of NLP for clinical information and shows capability answers. Finally, the potential applications of NLP-driven EMRs are discussed, inclusive of making use of in-health practitioner order entry, scientific choice assistance, and population health control. 2024 IEEE. -
Analysing the Influence of Activation Functions in CNN models for Effective Malware Classification
With the advancement of information technology, malware has become a persistent cyber security concern that targets computer systems, smart devices, and wide networks. Due to flaws in performance accuracy, analysis type, and malware classification methodologies that miss unsuspected malware attacks, malware classification has thus always been a significant concern and a challenging subject. Using the Malimg dataset, which has 9349 samples from 25 different families, this study classifies malware using a deep learning algorithm called a convolution neural network and evaluating the accuracy using a number of activation functions in this study. The proposed CNN model for malware classification achieves a high accuracy rate without the need for complex feature engineering. The model achieved the highest accuracy of 96.93% when using the Rectified Linear Unit (ReLU) activation functions whereas Leaky Relu gives accuracy of 96.76%, Pre relu gives 96.36%, ELU gives 95.72% and tanh gives accuracy of 95.58%. 2024 IEEE. -
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Performance analysis of alternating minimization based low complexity detection for MIMO communication system
Several antennas are used for sending and receiving in large MIMO (Multiple-Input-Multiple-Output) devices and assist in enhanced performances of wireless communication systems. One important component of Large MIMO systems is that MIMO detectors are placed at receiver ends, whose functions are to regain symbols broadcasts from multiple antennas. In this paper, novelAMLCD (Alternating Minimizationbased Low Complexity Detections) method is proposed in which AMs (Alternating Minimizations) are applied in initial stages to detect signals. Soft value generation is used for the second stage to estimate the signals. Finally, the more optimal estimated signal value will be chosen by applying the MPSOs (Modified Particle Swarm Optimizations). The system's functions are evaluated using CPMs (Continuous Phase Modulations) and channels AWGNs (Additive White Gaussian Noises). According to the results obtained, the suggested AMLCD method with modulations of CPMs outperform known methods using QAMs (Quadrature Amplitude Modulations) under multiple antennas in terms of BERs (Bit Error Rates). The AMLCD method also reduces the time complexity and computational complexity compared to the existing methods. 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
Optical Spectroscopy of Classical Be Stars in Old Open Clusters
We performed the optical spectroscopy of 16 classical Be stars in 11 open clusters older than 100 Myr. Ours is the first spectroscopic study of classical Be stars in open clusters older than 100 Myr. We found that the H? emission strength of most of the stars is less than 40 in agreement with previous studies. Our analysis further suggests that one of the stars, [KW97] 35-12, might be a weak H? emitter in nature, showing H? equivalent width of ?0.5 Interestingly, we also found that the newly detected classical Be star LS III +47 37b might be a component of the possible visual binary system LS III +47 37, where the other companion is also a classical Be star. Hence, the present study indicates the possible detection of a binary Be system. Moreover, it is observed that all 16 stars exhibit a lesser number of emission lines compared to classical Be stars younger than 100 Myr. Furthermore, the spectral type distribution analysis of B-type and classical Be stars for the selected clusters points out that the existence of CBe stars can depend on the spectral type distribution of B-type stars present in these clusters. 2023. National Astronomical Observatories, CAS and IOP Publishing Ltd. -
Indexing of exoplanets in search for potential habitability: application to Mars-like worlds
Study of exoplanets is one of the main goals of present research in planetary sciences and astrobiology. Analysis of huge planetary data from space missions such as CoRoT and Kepler is directed ultimately at finding a planet similar to Earththe Earths twin, and answering the question of potential exo-habitability. The Earth Similarity Index (ESI) is a first step in this quest, ranging from1 (Earth) to0 (totally dissimilar to Earth). It was defined for the four physical parameters of a planet: radius, density, escape velocity and surface temperature. The ESI is further sub-divided into interior ESI (geometrical mean of radius and density) and surface ESI (geometrical mean of escape velocity and surface temperature). The challenge here is to determine which exoplanet parameter(s) is important in finding this similarity; how exactly the individual parameters entering the interior ESI and surface ESI are contributing to the global ESI. Since the surface temperature entering surface ESI is a non-observable quantity, it is difficult to determine its value. Using the known data for the Solar System objects, we established the calibration relation between surface and equilibrium temperatures to devise an effective way to estimate the value of the surface temperature of exoplanets. ESI is a first step in determining potential exo-habitability that may not be very similar to a terrestrial life. A new approach, called Mars Similarity Index (MSI), is introduced to identify planets that may be habitable to the extreme forms of life. MSI is defined in the range between 1 (present Mars) and 0 (dissimilar to present Mars) and uses the same physical parameters as ESI. We are interested in Mars-like planets to search for planets that may host the extreme life forms, such as the ones living in extreme environments on Earth; for example, methane on Mars may be a product of the methane-specific extremophile life form metabolism. 2017, Springer Science+Business Media B.V. -
Data journalists perception and practice of transparency and interactivity in Indian newsrooms
Data journalism research recorded exponential growth during the last decade. However, the extant literature lacks comparative perspectives from the Asian region as it has been focused on select geographies (mainly Europe and the US). In this backdrop, the present study examined data journalism practices in the Indian media industry by conducting intensive interviews with 11 data journalists to investigate their perception of transparency and interactivity which are two of the core aspects of data journalism practice. Further, a content analysis of data stories published by two Indian news organizations for two years was conducted to assess the status of transparency and interactivity options in these stories. The findings showed that Indian data journalists acknowledge the importance of transparency and interactivity, but exhibit a cautious approach in using them. There is general apathy in practicing transparency among journalists in legacy organizations, drawing a stark contrast with their counterparts in digitally-native organizations. 2022 Asian Media Information and Communication Centre. -
Numerical modeling of novel cage-like cross-linked membranes for enhanced proton conductivity in a high temperature-polymer electrolyte membrane fuel cell
Phosphoric acid (PA)-doped polybenzimidazole (PBI) membranes have encountered several problems associated with high cost, chemical instability, poor solubility in organic solvents, and higher doping level which results in poor mechanical properties and faster degradation of the membrane. Alternative membranes with high proton conductivity and mechanical strength for high-temperature applications are of great interest, one such membrane being cPBI-IL X. The cage-like cross-linked structure of these membranes shows a dual proton transport path due to which proton conductivity is elevated. The ionic liquid content of these membranes improves the PA absorbing capability and shortens the proton transfer path. These membranes exhibit the highest proton conductivity of 13.3 S/m and better durability compared to existing PBI Membranes. A mathematical model is developed and validated versus published experimental results to account for the proton conductivity of these membranes. The developed model is further investigated for a detailed understanding of polarization phenomena and species distribution. 2023 Wiley Periodicals LLC.