Value Chain Analysis Research Articles

An empirical analysis of marketing and value chain of mustard in Jhansi district of Uttar Pradesh

Mustard oil is consumed in India at one of the highest rates of any country in the world. Additionally, the growing agricultural sector contributes to the growing availability of high yielding mustard seeds, which in turn catalyses the production of mustard oil. This is because agriculture is expanding. This is a significant component of the economy of the entire world. In addition, the government of India has initiated a number of projects in an effort to raise the amount of oilseeds that are produced within the country. The study was purposively confined to Jhansi district of Uttar Pradesh. In the first stage, Jhansi district was selected purposively for study on the basis of having higher production and area under mustard crop. There are eight blocks in namely Babina, Badagaon, Bamaur, Bangra,Chirgaon, Gursrai, Mauranipur and Moth block was selected purposively on the basis of higher production of the mustard crop. Thus making a sample size of 120 in numbers. Total variable cost was found maximum in large farms Rs.33080.66 and least in marginal farms (Rs.26580), on all farms basis it was found Rs.30731. Variable cost was found to be a major contributor in total cost and it has been recorded increasing with increase in size of farms, the findings are also supported by the findings of Mathur 2011. Rental value of the owned land and rent paid for the land are found equal for all categories of farms i.e. Rs. 10000 and Rs. 34, respectively. Cost of depreciation was calculated maximum in large farms (Rs.485) and least was found in marginal farms (Rs.360). Interest on the fixed capital excluding land was calculated maximum in large farms (Rs.52.5) and least was found in marginal farms (Rs.48.5). In the same way total fixed cost was found maximum in large farms (Rs.10621.5) and least was found in marginal farms (Rs.10510.4), on all farms basis it was calculated Rs.10573. Total cost incurred per hectare i.e. cost of cultivation or Cost C3 was found maximum in large farms (Rs. 39562) and lowest in marginal farms (Rs. 36850), on all farms basis it was calculated Rs. 38646. In the case of Bundelkhand, the area under mustard has demonstrated a significant shift, increasing from 68575 hectares in 1997–1998 to 113392 hectares in 2019–20. Mustard production went from 25481 tonnes in 1997-1998 to 115892 tonnes in 2019-20, according to the observations that were made. The rising trend has a significant impact on the total amount of mustard that is produced in the Jhansi district. It has been observed that the maximum arrival of agricultural commodities in this mandi is dominated by the arrival of groundnut, followed by urd, and then wheat. As far as mustard is concerned, there are a total of 28 new arrivals between the months of March and June, and the typical filling pack size is 80 kilogrammes. During the time period in question, it was discovered that only ten separate journeys were undertaken. During the months of March through June, it was discovered that the supply of mustard reached its maximum number of trips of 500, and the standard filling pack size was 40 kg. In addition to this, it was discovered that the Jhansi mandi possesses effective management of its supply chain in terms of mustard.

Toward sustainable development of tuna longline fishery in Taiwan: Value chain analysis

This study delves into the value chain of Taiwan’s distant-water tuna longline fishing industry and evaluates its impact on the country’s GDP. Using empirical models, the research covers the period from 2016 to 2019, highlighting variations in the industry and related sectors’ contribution to the GDP, which ranged from 0.804% to 0.640%. In response to regulatory challenges, the government has sought to optimize fleet size through vessel reduction. During the same period, the primary fisheries sector was the main contributor to the industry’s GDP, with a contribution rate fluctuating between 0.383% and 0.518%. This was followed by contributions from the fisheries input sector (contribution rate: 0.144% to 0.161%) and the marketing and service sectors (contributing 0.090% to 0.100% to the fisheries GDP). The findings suggest that the revenue of distant-water tuna fishing companies primarily derives from the direct sales of fish products. However, operational costs are continually increasing with rising international oil prices and ethical concerns surrounding seafood sourcing. Therefore, the Taiwanese government should promote expanded participation of companies in the processing and service marketing sectors. SoonYi, an exemplary company, has successfully integrated primary production, processing, and marketing operations, demonstrating the effectiveness of this approach. By aligning with evolving international market demands, adhering to rigorous standards like the Marine Stewardship Council, and prioritizing the rights of fishing workers, tuna fishing companies can elevate the value of seafood products and strengthen Taiwan's position as a leader in the distant-water tuna fishing sector.

Value Creation Through Artificial Intelligence and Cardiovascular Imaging: A Scientific Statement From the American Heart Association.

Multiple applications for machine learning and artificial intelligence (AI) in cardiovascular imaging are being proposed and developed. However, the processes involved in implementing AI in cardiovascular imaging are highly diverse, varying by imaging modality, patient subtype, features to be extracted and analyzed, and clinical application. This article establishes a framework that defines value from an organizational perspective, followed by value chain analysis to identify the activities in which AI might produce the greatest incremental value creation. The various perspectives that should be considered are highlighted, including clinicians, imagers, hospitals, patients, and payers. Integrating the perspectives of all health care stakeholders is critical for creating value and ensuring the successful deployment of AI tools in a real-world setting. Different AI tools are summarized, along with the unique aspects of AI applications to various cardiac imaging modalities, including cardiac computed tomography, magnetic resonance imaging, and positron emission tomography. AI is applicable and has the potential to add value to cardiovascular imaging at every step along the patient journey, from selecting the more appropriate test to optimizing image acquisition and analysis, interpreting the results for classification and diagnosis, and predicting the risk for major adverse cardiac events.

Closing gender gaps through gender-responsive, demand-led breeding in Burundi.

Gender inequality persists in Burundi's agricultural sector, especially in the bean value chain dominated by women. Women often have less access to improved seeds and to productive technologies. Interventions dubbed "gender-responsive plant breeding" have been launched to develop new varieties to address the gender gaps in variety adoption. Gender responsive planting breeding in Burundi targets to develop bean varieties that respond better to gendered varietal and trait preferences. This paper provides a background of gender-responsive bean breeding in Burundi, documenting the methodologies that were used to integrate gender issues in bean breeding and socio-economic research. It also covers successes of gender-responsive breeding to date, primarily focusing the interdisciplinary teams that drove the process, development and release of varieties that incorporated traits favored by women and men actors. Evidence from surveys and value chain analysis reveal that gender-responsive breeding program increased the adoption of improved varieties by women and improved yields and productivity. The paper reveals that gender-responsive and demand-led bean breeding programs require stakeholders engagements to develop products that align with preferences of diverse actors at different nodes of the bean value chain.

Procurement Practices and Performance of Public Institutions in Turkana County, Kenya

The success of any institution is majorly determined by the procurement practices adopted and how well they are implemented. Procurement concept has dominated most of the activities in public institutions because of the value attached to the role of procurement in enhancing the overall performance of the institutions; hence, the study seeks to investigate the procurement practices and performance of public institutions in Turkana County, Kenya. This research was pinned on Principal- Agency Theory, Contingency Theory, Stakeholder Theory and Porter Value Chain Analysis Theory. The study utilized a descriptive survey research design. The target population comprised 140 officials in various public entities in Turkana. The study used census techniques to come up with 140 participants as a sample size. Data were descriptively analyzed using means and standard deviations and inferentially by Pearson's correlation and regression analysis to measure strength and direction. Regression results demonstrated that procurement practices (procurement planning, E-procurement practices, sourcing ethics and evaluation practices) all yield statistically significant influence on procurement performance. The Coefficient of Determination or R square stood at (p<0.05; R2= 0.785), which implied that 78.5% of the variation in the procurement performance was explained by variability in the variables under procurement practices (procurement planning, E-procurement practices, sourcing ethics and evaluation practices). The study recommends more pursuit of procurement practices involvement in procurement planning, E-procurement practices, sourcing ethics and evaluation practices. Public institution management, government, researchers and academicians will greatly benefit from this study as it provides viable insights that could guide decisions to serve their interests on the critical subject of enhanced procurement performance.

Analysis of Digital Transformation on Consumer Behavior for Shopping in Offline and Online Store (Case Study: UNIQLO Indonesia)

Uniqlo is one of the world’s largest Apparel Fashion firms. Uniqlo’s business strategy integrates the entire clothing-making process, from planning and design to production, distribution, and retail. Uniqlo expanded its retail operations in Indonesia on February 13, 2013, and presently has 65 stores in 25 cities throughout the country. Uniqlo Indonesia must face obstacles in this digital era shift; during the COVID-19 pandemic, the rate of business owners creating e-commerce stores and customers purchasing online surged rapidly. Uniqlo has the lowest online sales contribution rate among its competitors, with 16% Online Sales Contribution and 84% Offline Sales Contribution. Uniqlo aspires to boost its online sales contribution to 20%. This study offers a maximized omnichannel integration approach between Uniqlo Indonesia’s online store and Uniqlo Indonesia’s offline stores to achieve Uniqlo’s aim of becoming the number one global apparel company. This research includes an internal analysis that includes value chain analysis and resources analysis to evaluate Uniqlo Indonesia’s internal condition and determine strengths and weaknesses, an external analysis that includes general environment analysis, industry analysis, and competitor analysis to evaluate Uniqlo Indonesia’s external conditions and determine threats and opportunities, and a customer journey analysis that includes the five A’s. Following the analytical phase, TOWS Matrix, Business Model Canvas, and Value Proposition Canvas were produced to help improve the formulation of the solution for Uniqlo Indonesia. Uniqlo Indonesia should improve every touchpoint across all integrated channels in the customer journey using Uniqlo Indonesia resources to improve the omnichannel integration strategy. This research’s business strategy and solutions can be utilized by Uniqlo Indonesia to boost customer awareness, sales, and customer loyalty.

Value chain analysis and managing supply chain costs

Value chain analysis and managing supply chain costs

Applying Lean to Improve Software Project Management Education

This article describes how different Lean principles and techniques have been adapted and applied to identify, analyze, and improve the value chain of a Software Project Management module in a computer science curriculum. This research is part of an initiative to improve the processes related to higher education teaching management, at a university, with the main goal of maximizing the value that is provided to students when taking a module. To represent and visualize the whole value chain of the module, the value stream mapping Lean management tool has been used. The essential module activities and the necessary elements to teach each one of these activities, from the first session to the final mark, were detected, collected, and represented using diagrams. The value chain analysis and review were performed by applying Lean principles and techniques. This article details several improvements to be applied to the module to eliminate the waste that did not add value to students.

Value Chain Analysis and Organizational Performance in Coca-Cola Company in Kenya; A Qualitative Analysis

Value Chain Analysis and Organizational Performance in Coca-Cola Company in Kenya; A Qualitative Analysis

Information System Strategic Planning To Improve UINSU Medan Service Performance

Facing increasingly rapid technological developments, UINSU Medan's efforts must be supported by developing existing information systems to meet the needs of the community and community. Currently, even though it has implemented an Information System in its activities, UINSU Medan does not yet have an Information System plan for the next 5 (five) years (2023-2027). It is hoped that this SI strategic planning will be able to improve the performance of UINSU services related to the Tri Dharma of Higher Education. The method used in this research is a qualitative survey. Data collection was carried out by observation, interviews, and literature review. The research informants are the managers of the UINSU Information Technology and Database Center (PUSTIPADA), and employees involved in the Information Systems section as well as service users such as students and lecturers. The stages of this research use Anita Cassidy's approach which consists of the visioning phase, analysis phase, direction phase, and recommendation phase. The data obtained was then analyzed using Value Chain analysis, SWOT, Porte's Five Forces, and other supports which were then confirmed by Focus Group Discussion with competent parties. This research recommends an Information Systems roadmap for UINSU Medan consisting of 34 integrated applications to be developed within 5 (five) years from 2023-2027.

Can Korean Steel Forge a Sustainable Future? A Value Chain Analysis with Implications for Policy

Can Korean Steel Forge a Sustainable Future? A Value Chain Analysis with Implications for Policy

Industrial Cluster Design using Value Chain Analysis and Diamond Porter’s Model (Case Study in Batik Trusmi Cirebon Center)

Batik Trusmi is one of Batik industry areas with 164 Batik Industry listed. Batik Trusmi, currently a center for Small Medium Enterprises (SMEs), has the high potential to grow into an industrial cluster to give its stakeholders competitive advantage. The government’s plan to develop industrial areas in West Java, includes Trusmi Batik Area as one of industrial areas that will be developed over the next 20 years. This study focus on illustrating and describing the primary and secondary activities of the Industrial cluster and stakeholders function on the system by using Value Chain Analysis and Diamond Porter’s Model, and the Industrial Cluster Component and Condition Assessment of Batik Trusmi as the result. The Diamond Porter Model describes the conditions of Internal and External Aspects of the Industrial Cluster. The industrial cluster design delivered the desired result for Batik Trusmi based on the Industrial Cluster Success Criteria. The Cirebon Industrial and Trading Agency will oversee the integrated system, which will be able to increase the competitive advantage, manage demand distribution, standardize production processes and quality, develop a tourism brand for Cirebon, and put in place a monitoring and evaluation system to gradually develop the industries under the management of industrial cluster.

Value chain and constraints analysis of ginger in West Garo hills district of Meghalaya

Value chain and constraints analysis of ginger in West Garo hills district of Meghalaya

Analysis of Value Chain of Cow Milk: The Case of Itang Special Woreda, Gambella, Ethiopia

Ethiopia has a long and rich history of dairy farming, which was mostly carried out by small and marginal farmers who raised cattle, camels, goats, and sheep, among other species, for milk. Finding the Itang Special Woreda cow milk value chain is the study's main goal. In order to gather primary data, 204 smallholder dairy farmer households were randomly selected, and the market concentration ratio was calculated using 20 traders. Descriptive statistics, econometric models, and rank analysis were used to achieve the above specified goals. Out of all the participants in the milk value chain, producers, cafés, hotels, and dairy cooperatives had the largest gross marketing margins, accounting for 100% of the consumer price in channels I and II, 55% in channels III and V, and 25.5% in channels V. The number of children under five, the number of milking cows owned, the amount of money from non-dairy sources, the frequency of extension service contacts, the amount of milk produced each day, and the availability of market information were found to have an impact on smallholders' involvement in the milk market. Numerous obstacles also limited the amount of milk produced and marketed. The poll claims that general health issues, sickness, predators, and a lack of veterinary care are plaguing farmers. In order to address the issue of milk perishability, the researchers recommended the host community and organization to construct an agro milk processor, renovate the dairy cooperative in the study region, and restructure the current conventional marketing to lower the transaction and cost of milk marketing.

Value chain analysis of jute fiber in Bangladesh

Jute often referred to as Bangladesh's “golden fiber” offers numerous environmental advantages along with significant industrial and economic importance. It is a crucial source of export earnings for Bangladesh. Beyond its use in house decoration materials, jute is employed in the production of twine, mats, carpets, sacks, and hessian clothing, among other products. This study aimed to assess the value chain of jute fiber in Bangladesh. Primary data were collected from 90 jute farmers and 233 chain participants across different stages of the value chain selected through simple random and purposive sampling, respectively, in 2019. Mapping strategies and marketing margins were employed to analyse the value addition of each actor. The benefit-cost ratio of 1.44 demonstrates the profitability of jute cultivation. The study identified that the highest share of the total value addition by farmers was 52.80% through the ‘Farmer-Faria-Kutcha Baler-Mill’ channel in Faridpur district, 59.66% through the ‘Farmer-Faria-Aratdar-Mill’ channel in Rangpur district, 60.52% through the ‘Farmer-Faria-Aratdar-Mill’ channel in Dinajpur district, and 58.87% through the ‘Farmer-Faria-Aratdar-Mill’ channel in Kishoreganj district. Per quintal, gross and net marketing margins for farmers were Taka 569 and Taka 537, respectively. Pucca balers cum exporters accounted for the highest proportion of gross marketing margin (41.30%) and net marketing margin (44.34%), while Farias contributed the lowest share (6.77% and 3.63%). Finally, based on the research findings, several policy measures are recommended to revitalize this potential sector in Bangladesh.

Blue economy in the green fields: rethinking value chain analysis of inland fisheries in Bangladesh

Bangladesh ranks as the third largest country in terms of inland freshwater resources. This study seeks to explore the current development of the inland cultured fish market value chain and the criteria for its expansion. A field survey was conducted across inland fishery farms in eight districts, representing all eight divisions of Bangladesh. From each district, four farms were selected, including small, medium, and large operations. Regression analyses were performed on various covariates in relation to total sells, with and without resampling. Key factors identified as significant include total production, farmer's age, farm size, electricity costs, minnow expenses, culture duration, loan transactions, and specific regional divisions. The findings suggest that as farmer’s age, expand their farm areas, and extend the culture period, total sells are likely to increase. According to the survey data, retailers enjoy the highest profit margin at 29%, while farm owners or farmers hold the second highest margin at 26% for inland carp fish.

Systems Strategic Planning with the Ward and Peppard Framework (Case Study of Research Data and Innovation in Magelang City)

Law Number 23 of 2014 encourages innovation in the administration of the Regional Government to improve performance and public services towards community welfare. The development of Regional Innovation in Magelang City involves the Government, the Community, Local Government Organizations (OPD), and Higher Education. The Regional Development Planning Agency of Magelang City (BAPPEDA) strives to facilitate innovation development from both the community and OPD. However, several issues have been encountered, such as (1) Less (2) Conventional optimal management of spatial data, (3) Difficulty in accessing research data due to a challenging database, (4) scattered government innovation data within each OPD, and (5) the Department of Investment and Integrated One-Stop Services (DPMPTSP), as the research permit agency, has not followed up on the research implementation process. To address these issues, a study focused on information strategic planning IS/IT using the Ward and Peppard Framework as a planning strategy for managing research and innovation data in Magelang City. The research revealed that using Value Chain Analysis identified primary and support activities. Additionally, Fishbone Analysis highlighted factors underlying the importance of information strategic planning IS/IT in the Machine, Measurement, and Method categories. The study’s outcome includes a recommendation to utilize Pieces Analysis.

Value chain analysis of biodiesel production from animal fat: a case of Botswana

Value chain analysis of biodiesel production from animal fat: a case of Botswana

Mapping the Ophiocordyceps sinensis value chain: actors, profits and social institutions in south-west China

AbstractCommercial use of wildlife is booming. However, knowledge of trade, price structure and benefit distribution mechanisms remain limited for many endemic, threatened and economically valuable species, impeding efforts to develop conservation intervention schemes in line with sustainable objectives. We illustrate the nature of commercialization of the caterpillar fungus Ophiocordyceps sinensis, collected in a high-altitude Tibetan region. Using the value-chain approach, we document how caterpillar fungus is collected in a remote mountainous region and traded across a wide range of middlemen until it finally reaches high-end markets in urban centres. Mapping the caterpillar fungus value chain helps identify the actors involved and the social institutions (i.e. the rules, norms and arrangements that shape people's behaviours) facilitating access to markets and influencing profit distribution and price structure. We present the complex dynamics of this commercialization process, providing a holistic value-chain analysis that encompasses actors, profits and institutions.

The Role of Digital Platforms in Economic Analysis and Difficulties of Regulation

The development of the platform economy has had a significant impact on the boundaries and structure of markets, has become a decisive factor determining the nature of horizontal and vertical interactions. The traditional consideration in neoinstitutional economic theory the "seller-buyer" interactions is increasingly giving way to the discussion of the so-called bilateral or multilateral markets (two-sided/multi-sided markets), the formation takes place around digital platforms. At the same time, there is no single definition of digital platforms in the economic literature, as well as a single classification of them. The classification of digital platforms may be based on various criteria that determine their position and functionality in different ways within the vertical value chain. This creates some difficulties for regulatory authorities related to fixing the specific status of digital platforms in regulatory documents as a kind of reference point defining a specific regulatory regime. In light of this, when determining the tasks facing the regulator, it is of particular relevance to analyze changes in the degree of consumer awareness in the context of the development of multilateral markets, the nature of competition between various distribution channels in multilateral markets, that is, between platforms and manufacturers of goods and services, as well as the analysis of value chains in new changing conditions.