Search results

Effective rural agribusiness development requires dedicated training programmes therefore, this paper is an attempt to investigate smallholder farmers’ TNs in the dairy agribusiness sector. The purpose of this paper is to study a bigger research project of the dairy value chain in agribusiness framework in the Rwenzori region.

A sample size of 100 dairy farmers were randomly selected from two Districts in the Rwenzori region. The descriptive statistics (mean and standard deviation) provided a basis for discussion. Furthermore, parametric Pearson coefficient test was conducted to examine the smallholder farmers’ TNs and assess its association with selected socio-demographic characteristics of the dairy farmers.

The analysis indicated that dairy farmers expressed the need for a training program. Most frequently requested topics include: fodder cultivation, quality and safe milk handling, milk marketing, calf feeding and rearing, animal nutrition and financial literacy out of 12 topics. The least desired TNs was record keeping.

The findings contribute to the understanding of dairy farmers’ TNs.

The identified 12 key training intervention areas for the dairy farmers inform policymakers Dairy Development Authority and other development bodies in the Rwenzori region to address the challenges and improve smallholder dairy farming practices.

The study applies a synthesis review to identify theoretically acceptable variables that measure smallholder farmers’ TNs in the dairy agribusiness. The paper also shares the empirical evidence of a pioneering attempt to identify smallholder dairy farmers’ TNs in Uganda.

As evident from the literature review, the research on cyber security performance is centered on security metrics, maturity models, etc. Essentially, all these are helpful for evaluating the efficiency of cyber security organization but what matters is how the factors of internal efficiency affect the business performance, i.e. the external effectiveness. The purpose of this research paper is to derive the factors of internal efficiency and external effectiveness of cyber security and develop impact model to identify the most and least preferred parameters of internal efficiency with respect to all the parameters of external effectiveness.

There are two objectives for this research: Deriving the factors of internal efficiency and external effectiveness of cyber security; Developing a model to identify the impact of internal efficiency factors on the external effectiveness of cyber security since there is not much evidence of research in defining the factors of internal efficiency and external effectiveness of cyber security, the authors have chosen grounded theory methodology (GTM) to derive the parameters. In this study emic approach of GTM is followed and an algorithm is developed for administering the grounded theory research process. For the second research objective survey methodology and rank order was used to formulate the impact model. Two different samples and questionnaires were designed for each of the objectives.

For the objective 1, 11 factors of efficiency and 10 factors of effectiveness were derived. These are used as independent and dependent variable respectively in the later part of the research for the second objective. For the objective 2 the impact models among independent and dependent variables were formulated to find out the following. Most and least preferred parameters lead to internal efficiency of cyber security organization to identify the most and least preferred parameters of internal efficiency with respect to all the parameters external effectiveness.

The factors of internal efficiency and external effectiveness constructed by using grounded theory cannot remain constant in the long run, because of dynamism of the domain itself. Over and above this, there are inherent limitations of the tools like grounded theory, used in the research. Few important limitations of GTM are as below in grounded theory, it is comparatively difficult to maintain and demonstrate the rigors of research discipline. The sheer volume of data makes the analysis and interpretation complex, and lengthy time consuming. The researchers’ presence during data gathering, which is often unavoidable and desirable too in qualitative research, may affect the subjects’ responses. The subjectivity of the data leads to difficulties in establishing reliability and validity of approaches and information. It is difficult to detect or to prevent researcher-induced bias.

The internal efficiency and external effectiveness factors of cyber security can be further correlated by the future researchers to understand the correlations among all the factors and predict cyber security performance. The grounded theory algorithm developed by us can be further used for qualitative research for deriving theory through abstractions in the areas where there is no sufficient availability of data. Practitioners of cyber security can use this research to focus on relevant areas depending on their respective business objective/requirements. The models developed by us can be used by the future researchers to for various sectoral validations and correlations.

Though the financial costs of a cyber-attack are steep, the social impact of cyber security failures is less readily apparent but can cause lasting damage to customers, employees and the company. Therefore, it is always important to be mindful of how the impact of cyber security affects society as well as the bottom line when they are calculating the potential impact of a breach. Underestimating either impact can destroy a brand. The factor of internal efficiency and external effectiveness derived by us will help stakeholder in focusing on relevant area depending on their business. The impact model developed in this research is very useful for focusing a particular business requirement and accordingly tune the efficiency factor.

During literature study the authors did not find any evidence of application of grounded theory approach in cyber security research. While the authors were exploring research literature to find out some insight into the factor of internal efficiency and external effectiveness of cyber security, the authors did not find concrete and objective research on this. This motivated us to use grounded theory to derive these factors. This, in the authors’ opinion is one of the pioneering and unique contribution to the research as to the authors’ knowledge no researchers have ever tried to use this methodology for the stated purpose and cyber security domain in general. In this process the authors have also developed an algorithm for administering GTM. Further developing impact models using factors of internal efficiency and external effectiveness has lots of managerial and practical implication.

The purpose of this paper is to develop the methodology which can facilitate the concept of reconfiguration in the manufacturing system.

Design methodology includes the calculation of similarity matrix, formation of part family, and selection of part family. ALC algorithm has been used for part family formation and three criteria have been considered for the selection of part family. These criteria are reconfiguration effort, under-utilization cost, and floor space cost. AHP has been used to calculate the weights of criteria and reference ideal method has been used for the selection of alternatives.

In the manufacturing system, machines should be grouped on the basis of reconfiguration cost. When the time period is less, light machines and Group 1 machines are added and removed. In the case study, the concept of reconfiguration is useful for families (A, B, C, D). Machines can be reused by adding/removing some modules of machines. The concept of reconfiguration becomes more useful when it is implemented with lean manufacturing. Lean manufacturing techniques Jidoka and Poka-yoke are used to increase the diagnosability of the system.

Industrial case study has been considered.

Market competition is increasing rapidly and it increases the demand and variety of products, due to which manufacturing enterprises are forced to adapt a manufacturing system which can adjust its capacity and functionality quickly at low cost. To reconfigure manufacturing system from one product/product family to another product/product family, changes can be done in hardware and/or software components in response to sudden changes in the market or in regulatory requirements.

An integrated approach for reconfiguration has been proposed considering the industrial application. It includes weighted Jaccard function, ALCA, AHP, RIM. The methodology for calculation of reconfiguration effort, under-utilization cost, and floor space cost has been presented for industrial case.

Political economy research recognizes that the inflows of external financial resources help the governments enact market-oriented reforms. Since remittances have outpaced other types of financial inflows in many countries, they can potentially increase the government’s incentive to implement regulatory reform that can contribute to business-friendly environment. This issue has long been overlooked by the literature on remittances. The purpose of this paper is to examine whether remittances promote business regulatory reform in the recipient countries.

This study uses balance of payments data on remittances for 114 countries during 2004-2012 period. Since remittances could be endogenous to business regulation, the identification strategy follows an instrumental variable approach. The author assesses the general stability of linear model estimates by fitting the beta regression model.

The results show that, while the increase in remittance inflows is associated with lower regulatory requirements for starting a business in the recipient economy, this association is stronger in developing countries than in high-income nations. Various sensitivity tests reinforce the robustness of these findings.

One of the most important yet overlooked aspects of remittances is that they can potentially shape the political will to enact regulatory reform for businesses. The incentives for the government to relax burdensome entry regulations tend to stem from potential gains associated with the formalization of remittances. This paper makes a first attempt at studying the link between remittances and the quality of entry regulation.

The purpose of this paper is to design novel tunnel field effect transistor (TFET) using graphene nanoribbons (GNRs).

To design the proposed TFET, the bilayer GNRs (BLGNRs) have been used as the channel material. The BLGNR-TFET is designed in QuantumATK, depending on 2-D Poisson’s equation and non-equilibrium Green’s function (NEGF) formalism.

The performance of the proposed BLGNR-TFET is investigated in terms of current and voltage (I-V) characteristics and transconductance. Moreover, the proposed device performance is compared with the monolayer GNR-TFET (MLGNR-TFET). From the simulation results, it is investigated that the BLGNR-TFET shows high current and gain over the MLGNR-TFET.

This paper presents a new technique to design GNR-based TFET for future low power very large-scale integration (VLSI) devices.

The purpose of this paper is to print a thermolabile drug-containing tablet using the fused deposition modeling (FDM) technique and analyze its mechanical, pharmaceutical and environmental feasibility using a variety of tests.

Ascorbic acid (Vitamin C) is the thermally-sensitive drug impregnated into polyvinyl alcohol excipient using ethanol-water mixture and printed by an FDM printer by varying three parameters without using any external stabilizing agent. Afterward, Taguchi analysis has been performed on these parameters to recognize the significant factors and interactions. Besides this, a regression model has been obtained based on the dissolution data. Various thermo-mechanical and pharmaceutical tests have been carried out to confirm the feasibility. Finally, a life cycle assessment (LCA) analysis has been carried out to compare it with the existing tableting method by considering the environmental impacts.

The dissolution profile was found to follow the Korsmeyer-Peppas model, where the drug release occurred both by dissolution and erosion. Further, the infill percent has been found as the most significant parameter. The characterization tests and imaging outputs proved the fidelity of this attempt. Finally, the three-dimensional printed method was found to be more environmentally sustainable than the existing conventional tableting process.

LCA on a printed tablet is a one-of-a-kind attempt. Thus, this research attempt delivered another approach to print personalized tablets at a temperature lower than prescribed temperatures with required release behavior and can contribute toward the quest of sustainable personalized medication.

Market transactions in large vegetable markets call for transparency with utmost urgency. The reason are that buyers are located at distant places and the volume of sales is very high. The purpose of this paper is to highlight the development of an automated system in market transactions in order to bring about transparency with concrete evidence available to small and medium farmers who are then able to repose trust in the system by acquiring the right price for the right product. The farmers can also confirm the effectiveness of the system by testing it themselves.

First, a theoretical framework of marketing procedures of larger vegetable markets has been constructed with tomato as a vegetable of study and the Madanapalle tomato market as a market studied through surveys. Second, methods of functioning in marketing procedures including pricing and auctioning have been modified according to the objective. An android-based application has been used to develop an automated model. Surveys have been conducted to understand the perceptions of farmers in marketing procedures and price determination at the village level, and to test the automated model in the study market.

Both quantitative as well as qualitative approaches indicate that, the proposed automated model in the modified marketing procedural system is of benefit to all stakeholders in the supply chain.

In model testing, gaps in inputs from a greater number of buyers during auctioning remains a limitation of the study.

For sustainable growth of tomatoes or any other vegetables it is essential that the farmers trust the marketing procedural system. This is possible if farmers obtain the right price for their products. Once the automated system is implemented, buyers acquire high-quality goods at desired prices, which further encourages more buyers from other regions to participate in the auctioning/tendering process stimulating an increased demand.

This paper is unique in its pricing function and scores of stakeholders. Pricing function involves the farmers’ input along with the buyers’ inputs whereas scores of these two stakeholders have been obtained through the inputs of commissioning agents.

The purpose of this paper is to demonstrate a methodology to design a supply chain with a view to achieve a strategic fit between competitive and supply chain strategies.

Quality function deployment (QFD)-based optimization methodology is employed to design a supply chain for a product through aligning the competitive and supply chain strategies. Normal boundary intersection (NBI) method is adopted to obtain optimal weights of the supply chain design objectives. Weighted additive model is developed for multi-objective optimization. Utility-based attribute function, which structure the relationship between the elements of competitive and supply chain strategies is established. The utility functions and the information contained in the House of Quality (HOQ) of QFD are used to define the supply chain performance (SCP).

SCP index is computed using the set of supply chain design objectives obtained by solving the weighted additive model. On the basis of SCP index, the supply chain activities are planned accordingly. An illustrative example is presented in this paper to describe the QFD-based optimization methodology for designing a supply chain.

QFD-based optimization is a novel approach to design a supply chain with a focus on aligning competitive and supply chain strategies.

The purpose of this paper is to develop a methodology using quality function deployment (QFD) approach for aligning competitive strategy with supply chain strategy.

QFD and utility‐based optimization approach are employed to achieve strategic fit between the competitive and supply chain strategies. The supply chain performance is defined by using the information contained in the House of Quality of QFD and utility functions.

Supply chain performance index is computed for the different sets of supply chain design objectives. An illustrative example is presented in this paper to describe the QFD approach for aligning competitive and supply chain strategies.

Application of QFD approach is a new approach to design a supply chain through aligning competitive and supply chain strategies.

The purpose of this paper is to examine the extent to which service quality, perceived price and fairness and service convenience influence customer satisfaction and customer loyalty for Indian retail banking sector. It further explores the role of customer satisfaction as mediating variable between service quality dimensions, perceived price and fairness, service convenience dimensions and customer loyalty.

A cross-sectional research on 445 retail banking customers through questionnaire is conducted. Population of study is valued retail urban customers of banks in Rajasthan, India, who frequently visit bank premises for transactions, have accounts in at least two banks and have availed of at least one information technology-based services. Responses are analyzed using factor analyses and regression analyses.

Results reveal that service quality dimensions, perceived price and fairness and service convenience dimensions have positive impact on customer satisfaction and customer loyalty. Moreover, customer satisfaction acts as mediating variable between its antecedents and customer loyalty.

This study has taken into account a specific category of retail banking customers. Thus, it limits generalization of results to other banking population.

This study explains the importance of customer satisfaction for achieving customer loyalty for Indian retail banking sector.

The paper underlines the importance of customer satisfaction for achieving customer loyalty. Impact of SERVCON dimensions on customer loyalty is found rare in literature.