Bibliographies: 'Investment Decisions Making' – Grafiati (2024)

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Decisions are made according to a complex cognitive and emotional evaluation of the situation. The aim of the paper is to examine the effect of mood on risky investment decision making by using a mood induction procedure. The paper investigates how happy and sad mood affects risky investment decision making and whether there is a difference between the perception of fix investments and monetary investments. The analysis has been conducted focusing on individual investment decisions. Data for the research comes from a laboratory experiment, where 166 participants in happy, sad and neutral mood, filled out a questionnaire of investment decisions. The results indicate that mood does affect investment decision making, and positive and negative mood might have similar effect on the investment decision.

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This study aims to analyze 1) whether there is an influence of financial literacy on investment decision maknig. 2) Obtain empirical evidence whether there is an Representativeness bias making on investment decisions. 3) Does Bias optimisme affect investment decision making. In this study using Causality Design. Population and sampek are 104 respondents registered in the Indonesia Stock Exchange Investment Gallery (GIBEI) Faculty of Economics, State University of Padang. The method of analysis is multiple linear regression. The results of the study found 1) Financial literacy influences investment decisions on investment decision making.2) Optimum bias affects investment decisions on investment decision making. 3) Representativness influences investment decisions on investment decision making. 4) Together financial literacy variables, the optimum bias and representativness together influence the investment decision on investment decision making

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Individual fishermen make investment decisions in an environment which is competitive and highly variable from season to season. Extensive variability means that economic survival must be a primary consideration in the investment decision process. In this paper, fishermen's investment decisions are modelled as a probabilistic dynamic programming problem in discrete time. Fishermen are assumed to make rational decisions based on income expectations and subject to survivability conditions to maximize the net worth of the fishing enterprise at the end of a finite planning horizon. The formal analysis of the investment model is presented and the model is applied to trailer fishermen of the British Columbia commercial fishing fleet. The results present an accurate picture of actual investment decisions and provide valuable insights into the behavioral basis of investment decision making by fishermen. Understanding the investment decisions of fishermen has implications for planning and regulation in fisheries: insights gained into the key factors provide the basis for the development of strategic long-term policies that anticipate fishermen's behavior. The consequences will be a movement away from reactive, short-term policies which have characterized fisheries regulation to date.

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Individual investments behaviour is concerned with choices about purchases of small amounts of securities for his or her own account. Decision tools often support investment decisions. It is assumed that information structure and the factors in the market systematically influence individuals’ investment decisions as well as market outcomes. Decision tools often support investment decisions. It is assumed that information structure and the factors in the market systematically influence individuals’ investment decisions as well as market outcomes. Investor market behaviour derives from psychological principles of decision making to explain why people buy or sell stocks. These factors will focus upon how investors interpret and act on information to make investment decisions. The purpose of the study was to identify the factors that influence investment decision making among potential individual investors in Malaysia. Three behavioural factors might influence investment decision making which are accounting-information, firm-image coincidence and personal-financial-needs. A set of questionnaire was distributed to 384 potential investors in Malaysia specifically in housing area of Klang Valley as population of this study. Based on the findings, it showed that there is positive relationship between accounting-information, firm-image-coincidence and personal-financial-needs in investment decision making. Hence, between these three behavioural factors, accounting-information, firm-image coincidence and personal-financial-needs, the main influential factor is accounting-information. This study also proposed a future research for investment decision making and give implications to the potential investors, community, organization, policy makers and investment practitioners.

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Purpose This study aims to make investment decisions in stock markets using forecasting-Markowitz based decision-making approaches. Design/methodology/approach The authors’ approach offers the use of time series prediction methods including autoregressive, autoregressive moving average and artificial neural network, rather than calculating the expected rate of return based on distribution. Findings The results show that using time series prediction methods has a significant effect on improving investment decisions and the performance of the investments. Originality/value In this study, in contrast to previous studies, the alteration in the Markowitz model started with the investment expected rate of return. For this purpose, instead of considering the distribution of returns and determining the expected returns, time series prediction methods were used to calculate the future return of each asset. Then, the results of different time series methods replaced the expected returns in the Markowitz model. Finally, the overall performance of the method, as well as the performance of each of the prediction methods used, was examined in relation to nine stock market indices.

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Purpose This study brings together cognitive and organizational aspects of the strategic investment decision-making process. It focuses on the early stages of strategic investment decision-making. This paper aims to augment the limitations of previous survey-based research through an archival case study that describes pre-decision screening in detail. Design/methodology/approach This paper draws on archival data covering an investment decision undertaken by a large brewing company. The data cover a period of about six years, focusing on the decision to invest in West Africa. A rational/intuitive orientation model of the process is used as a framework to help analyze the archival evidence. Findings Strategic investment decisions are non-programmed, complex and uncertain. For some companies (e.g. those with a strategic focus on new expansions), certain non-programmed decisions may become semi-programmed in the course of time by applying knowledge learned from having successfully handled non-programmed decision situations in the past. However, other companies without such a focus may not be able to programme part of their strategic decisions. Pre-decision control mechanisms constitute a form of strategic control by detecting potential problem areas in the investment option before formal approval. Research limitations/implications Given the narrow scope of this paper – a single case study – the findings are used for theorization rather than offering generalizable results. There is a need for unified models to enrich our understanding of the influence that contextual factors have on strategic investment decision-making. Effective strategic pre-decision control mechanisms that maintain a good balance between rational and intuitive approaches are matters that remain open for debate in future research. Practical implications Research on organizational and cognitive aspects of the strategic investment decision-making process is inherently practical. To achieve successful strategic investment decisions, it is essential to devote more attention to the choice and design of strategic control mechanisms. Originality/value The framework of this study can help practitioners to gauge the strengths and weaknesses of their decision-making practices. It focuses on three aspects that are relatively absent in the literature: the strategic problem, the strategic choice and the chronological relations between the five stages of the strategic investment decision-making process. The use of historical data is suited to providing illustrations of intuitive/heuristic-based practices that would otherwise be hard to capture.

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Abstract: This study seeks to explore the influence of culture on the investment decisions of Ghanaians. It is motivated by the perception that Ghanaians show no enthusiasm for long-term investments or life insurance products. To explore this problem, we used a random sampling, quantitative cross-sectional technique to administer a set of questionnaires to a cross-section of 120 Ghanaians residing in the City of Columbus, Ohio, U.S.A. Hofstede’s five cultural dimensions were used as the theoretical framework to guide the study. The results showed that Ghanaians prefer short-duration risk-free investments to long-duration risky investments. Ghanaian investors are not aggressive in gathering and analyzing financial information before making investment decisions. Their investment decisions are influenced by others, intuition, comfort and security, and their belief systems, rather than rational analysis of information, and risk-reward relationships derived from financial models. The use of intuition and information passed on from relatives, family members and others in making investment decisions paves the way for cultural factors to influence investment decisions. We conclude that cultural values have significant influence on the investment decisions of Ghanaians. The study seeks to motivate investors to examine and broaden their cultural awareness to enable them to develop financial plans to achieve their investment goals. We recommend that to overcome negative cultural influence on investment decision making, financial education should be vigorously pursued to broaden financial literacy.

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This thesis aims to increase current understanding of the ways in which large firms make and implement industrial building investment decisions. The study reported involved an investigation, from the corporate perspective, of the decision and implementation stages of capital investment projects in two large UK firms. The orientation of the study is towards a consideration of investment decision making and implementation as a problem for management involving a process of resource allocation occurring over time and throughout the corporate organisation. Drawing on research in the business administration area of social science, the process model of resource allocation by Bower (1970) is used as a conceptual framework and to suggest propositions for study which direct attention at key features of the process. By viewing corporate capital investment decision making and implementation within this framework - and as part of an in-depth, case-based, exploratory research strategy - rather than in terms of its financial or economic consequences, the study reaches an understanding of the ways in which both firms studied actually made and implemented their capital investment decisions. The analysis utilised the study propositions to explore the resource allocation process and yields important observations on the role of the construction industry in the investment decision process and of the role of the corporate client in the construction process. The central finding is that the implementation of corporate capital investment, seen from the firm's perspective, is more a continuation of the process of capital investment than an end result of it. The study suggests that the construction industry participates rather more in the investment decision process, and the corporate client participates rather more in the construction process, than is generally recognised in the literatures on corporate capital investment and construction management.

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One explanation for the increased use of interactive groups in organisations is that benefits are obtained from pooling individuals?? differing knowledge and abilities. However, prior experimental research has established that groups often do not discuss and use information effectively, exhibiting a bias toward information that is commonly known by all group members, rather than information that is unique to individual group members (common information bias). This dissertation investigated whether the provision of quantitative information resulted in improved group performance in two respects. First, it investigated whether quantitative information was discussed and used more than qualitative information. Second, it examined whether the quantification of information reduced the common information bias. This is important because a basic purpose of managerial accounting is to provide information that improves employees?? abilities to make optimal decisions. This dissertation utilised an experimental task known as a ??hidden profile?? to achieve the research objectives. In a hidden profile experiment, each group member receives some information that is common to everyone in the group, and some information that is unique to them. The group must discuss and use members?? unique information in order to uncover the optimal task solution. This dissertation examined the effect of information availability (common or unique) and information type (quantitative or qualitative) on information discussion and use. There were two stages to the experiment. First, individual group members had to make a capital investment decision, and write down their reasons for that decision. Second, groups had to discuss the information, come to a group decision, and write down their reasons for that decision. The results confirmed a common information bias at the group decision level, with groups significantly favouring common information over unique information, for all measures of discussion and information use. In contrast, while a preference for quantitative information was found at the individual decision level, at a group decision level there were no significant differences in the discussion or use of quantitative and qualitative information, with only one exception: significantly more statements were made about quantitative information.

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The unprecedented ubiquity with which technological advancements, such as blockchain, the Internet of things (IoT), big data, machine learning, and artificial intelligence (AI), are impacting the world has forced large organizations to rethink their information technology roadmaps. Their decisions about how they invest in technology have become more important. It is against this backdrop that companies must decide how much to invest in their aging technologies versus these new potentially transformational ones. A decision is only as good as the information available to the decision-makers when they make it. This research project seeks to understand the effects that information asymmetry has on strategic information technology (IT) investment decisions within large complex organizations. The data collected for this study was gathered from six executives. The conceptual model was grounded in Akerlof’s (1978) seminal paper on information asymmetry. This study followed an Action Design Research (ADR) approach to formulate the problem and an elaborated Action Design Research (eADR) process model to create a solution. Results indicate that using the proposed solution will result in organizations making more informed strategic IT investment decisions.

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Introduction

Many studies indicate that there are numerous factors that promote or hamper the adoption of IT applications and are a prime concern for many researchers and practitioners (Abrahamson, 1991). Two main factors which need to be examined closely when making decisions about IT investments are the internal and external factors. Since these factors play a great role in decision making of IT investments, it is imperative to study their impact on the strategic planning because this forms the founding blocks for IT decision making.

Problem

As the business environment keeps on changing, managers need to thoroughly scan the environment before investing in an Information technology system. The reason is to identify the major factors that can be detrimental to the organization from reaping the potential rewards from their IT investments. Sutton, (1998) views the process of environment scanning as a technique to identify threats and opportunities while improving long and short- term planning. With the current financial crisis that started in 2007, there seems to be a pandemic concern in the massive. Inevitably, this has lead to a risen concern for organizations to carefully study this particular factor when deciding on investing in new information technology.

Purpose

The aim of this thesis is to establish and evaluate the internal and external factors affecting the decision making in IT investments, in particular ERP systems. It also seeks to contribute to literature on the impact of the current financial crisis on making IT investment decisions.

Method

Our research study took a deductive approach with the use of qualitative data that was collected from semi-structured interviews of three respondents. The interviewed companies were fa*gerhult Belysning, Sogeti and Professor Mats-Åke Hugosson.

Conclusion

The evaluation of the internal and external factors affecting the decision making was analyzed with the SWOT analysis. Each potential factor was categorized under internal, strengths or weakness and external, opportunities or threats and then assisted in reducing the weaknesses in the organization and mitigating the potential threat in order to understand these factors influence on ERP adoption in fa*gerhult. An advice for organizations is despite the financial crisis, the question they ought to ponder over is firstly the obvious which is, do we have the available resources? And if that is not a constraint, the next issue is how we can get the optimal value from our IT investments and our correspondents laid it out clearly; organizations need to plan ahead and continue making IT investments that aims at creating a suitable balance/ fit or harmonization between their IT and business strategy.

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The Internet provides many sources of financial information that investors can use to help with investment decisions and in interpreting companies' accounting information. One source of information is Internet stock message boards such as those at Yahoo! Finance. This source allows for anonymous postings and information exchange. Despite the possibility of the information being incorrect many individuals visit these message boards. The purpose of this study is to investigate Internet stock message boards and address the primary question: From an individual investor perspective, do message boards, which contain accounting information, influence investment decisions? The question is addressed using psychology rumor literature and attitude theories. Message board postings are a type of rumor, since not all the information is verified and is usually intended to persuade a belief or influence a decision. Further, the messages may influence an investor by causing a change in attitude about the investment. Using an experiment, message board influence on an investment decision and attitude was tested. The results indicated that individuals that received negative message board postings did have a significantly higher change in investment amount as compared to a control group that did not receive any message postings. The positive message board group and the control group were not significantly different in their amount of investment change. The results of the study also show that message board postings influenced attitude, those that received negative (positive) postings had a negative (positive) attitude about the investment. It was further found that those with a negative (positive) attitude decreased (increased) their investment. Finally, contrary to expectations, investment experience did not lead to an individual being less influenced by message board postings. This study contributes to the accounting literature by investigating an additional source of Internet financial reporting that may or may not contain correct information. The SEC is concerned over the manipulative opportunities that are available within these message boards and many investors are exploring these new sources of information instead of relying on traditional accounting information. This study finds that negative postings have an influence on investment decision and possibly should be investigated as manipulative techniques.

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Do investment portfolios meet the needs and preferences of investors? Can the portfolio selection process be improved? Traditionally, investor preferences have been identified using risk tolerance questionnaires. These questionnaires have recently attracted a fair deal of criticism. However, there has been little focus as to whether the questionnaires are useful in predicting investors' risk-taking behaviour. In this thesis, an explanatory sequential mixed methods approach was employed to find answers to the primary research question: what factors determine risk-taking behaviour in investment decisions? This thesis looked at the risk-taking behaviour of investors in Canada (N=192) and the risk-taking advice provided by financial advisers in Canada (N=155), collectively risk-taking decisions. The results suggested that return expectations and demographic variables were important predictors of risk-taking decisions, whereas risk tolerance questionnaires were not. Further investigation suggested that investment literacy impacted risk-taking decisions while investment experience impacted both return expectations and risk-taking decisions. In a novel contribution by this thesis, additional perspective was provided by qualitative analysis using semi-structured interviews with investors and advisers. From the results of the qualitative analysis, the author suggests that discovery and self-discovery, a consistent approach and a focus on process versus outcome are key attributes valued by both investors and advisers. The thesis concluded with implications and recommendations for stakeholders, including a greater focus on return expectations, more training in discovery for advisers, simulating investment experience for prospective investors and including investment literacy in school curricula.

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AbstractThe implementation of each strategic decision involves investment of a large amount of capital, human resources and managerial efforts. An incorrect decision often means the failure of an investment. Risks of strategic decisions can be reduced if we can re-examine or identify whether the strategic decisions that have been made are consistent with the actual situation of the company and with the external environment and industry development. Based on the basic principles of strategic decision-making presented in this book, this chapter puts forward the basic logic and thinking of the evaluation of strategic decision-making from the standpoint of the three elements of strategy.

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The "Financial Behavior" in the field of "decision making" is the topic that awarded the economist Richard H. Thaler the Nobel Prize in 2017. According to him, after many investigations made on human decisions, it is noticed that they often depend on nature, intuition, habits, cognitive biases, emotional biases which lead the investor to wrong decisions. Given that the investments play an important and central role in the economy, the main purpose of the paper is to analyze the investment decision making process based on emotional bias, or more specifically the overconfidence bias. This study captures the impact of gender, and level of education on overconfidence during investment decision making in North Macedonia. The results show that investors' decisions were significantly influenced by the overconfidence bias. Although men and women are found to be overconfident, studies have shown that the degree of overconfidence varies among them and men are more overconfident than women. Also, overconfidence increases with the level of education. Based on the results certain recommendations are provided in order to assist future investment decision-making processes by notifying and eliminating the overconfidence bias identified during this research as a key factor leading to wrong and failing, non-rational investment decision making.

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An important aspect of product development is design for manufacturability (DFM) analysis that aims to incorporate manufacturing requirements into early product decision-making. Existing methods in DFM seldom quantify explicitly the tradeoffs between revenues and costs generated by making design choices that may be desirable in the market but costly to manufacture. This paper builds upon previous work coordinating models for engineering design and marketing product line decision-making by incorporating quantitative models of manufacturing investment and production allocation. The result is a methodology that considers engineering design decisions quantitatively in the context of manufacturing and market consequences in order to resolve tradeoffs, not only among performance objectives, but also between market preferences and manufacturing cost.

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The paper investigates the investment decision–making, risk assessment and management problems faced by all participants of the investment process in construction. The main object of paper – risk of investment projects in construction. Companies often have to make investment decisions under uncertainty and therefore the study emphasizes the need, for carryng out investigations, developing metodology and intelectual decision making system that would holistically assess the whole available information to the investment project, increase the accuracy of risk assessment, improve project information management, reduce project risk factors for the occurrence of potential and would make informed investment decisions. The created and described verbal analysis method of the real alternatyve classification was integrated into the proposed model and implemented in practice.

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<p>The decision to rehabilitate buildings in a sustainable way is complex, because the associated costs require different levels of assessment, given their relevance to all stakeholders in the decision- making, and are not always easily quantifiable. Following recent decisions of the European Union, it is urgent to carry on with studies to support for sustainable rehabilitation investment projects. In this context, the use of methodologies based on Cost-Benefit Analysis (CBA) contributes positively to support decisions. The CBA comprise methods to evaluate the net economic impact of an investment project, and can be used for a variety of interventions. The CBA is characterized by being an evaluation model that admits monetary unity as the main measure and has been predominantly used in the context of large public investments during the second half of the twentieth century.</p><p>The present paper aims to present the CBA concepts, its application to different investment projects, identifying the procedures and phases of the methodology, as well as the presentation of the main corresponding cost-benefit performance indicators. Its importance and potential will be highlighted for various stakeholders in the decision-making process, as well as examples of its application to the construction and / or rehabilitation of: i) architectural heritage; ii) school buildings; and iii) health infrastructures. Some final remarks of the study under development, to date, will be presented and discussed as well as future developments.</p>

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The article presents the stakeholder management model for complex investment projects. The proposed model is aimed at strengthening in essence the justification of managerial decisions subject to the choice of the stakeholders and their subsequent coaction throughout the whole investment project management cycle. Respectively the model concerned is regarded as multiple criteria ranking task of possible variants of choice of stakeholders (as a one of indispensable factors) needed when seeking for effective implementation of complex investments. In order to solve this task the cooperation-targethom*ogeneity function and three-stage-criteria system is adapted. The latter measures are also supported by the quantitative methods to be used when assessing potential stakeholders and forming basis for objective decision making.

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The authors concentrate their attention on the performance evaluation of stock markets. The markets evaluation and selection is the important part of investment decision making. In order to develop a conceptual framework for investment decisions in financial markets, it is important to establish a logical model for market selection. The main purpose of the article – to propose the scheme of stock market evaluation and selection for investment portfolio formation. The authors propose the scheme, according to that, it is possible to analyse the issue of the market value and to select markets that may potentially generate a sustainable investment return for investor, taking into account that sustainable investment return is the stable investment return for a long period. According to the analysis of selected stock markets and their evaluation using three-dimension utility function, the authors identified the most stable markets to investors for investment portfolio formation.

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The effects of climate-related natural hazards pose a significant threat to sustainable development in Latin America and the Caribbean (LAC) region and in particular its transportation sector. Risk Management provides an appropriate framework for assessing and mitigating the impacts of climate change and other climate-related natural hazards on transportation systems and choosing actions to enhance their resilience. However, analysts and policymakers involved in transportation planning, policy, and investment face significant challenges in managing the risks triggered by the effects of climate change. Climate change impacts the lifespan of roads, airports, and railroads as they have time horizons that surpass 40 years, thus making it harder (if not impossible) to forecast with confidence all relevant future events that will affect such infrastructure. In addition, the climate has already changed, so the return frequency of storms, for example, and other extreme events may now be different than suggested by the historical record in ways that are not always currently well understood. Implementing Risk Management under conditions of such uncertainty can prove difficult. Decision Making Under Deep Uncertainty (DMDU) enables Risk Management under conditions of Deep Uncertainty, that is when risks cannot confidently be quantified. This guidebook is aligned with the Disaster and Climate Change Risk Assessment Methodology for IDB projects (IDB 2018) and introduces and provides guidance on applying methods for Decision Making Under Deep Uncertainty (DMDU) to transportation planning. It presents the methodological steps that are necessary for the implementation of DMDU methodologies and reviews several such methods, including scenario planning, Adaptive Pathways, and robust decision making (RDM). This review is geared towards supporting the incorporation of DMDU methods into IDBs transportation sector funding and planning processes.

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Within Task 64/IV Solar Process Heat, Subtask E Guideline to Market is aiming to support a wider penetration of solar thermal technologies in the supply of heating (and cooling) in industry, demonstrating Solar Heat for Industrial Processes (SHIP) to be an important contribution to the decarbonisation of the industrial sector. This requires not only to overcome technical and/or technological barriers, but it is crucial to also address on technical barriers. Whereas well suited system integration strategies, design tools, standardized procedures or modular components are all in all paramount for the development of reliable and prompt off the shelve solutions, experience shows that often non-technological barriers might have a critical role in the decision making process. Above all, competitiveness and investment/financing related barriers prove in many cases to be the bottleneck for the adoption of solar thermal technologies in the industrial framework.

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This paper explores Pakistan’s electricity supply crisis that lasted from 2007 to 2015, and the ensuing contention that shaped public discourse and political events in the country. During this period, which witnessed electricity outages of up to 14 hours per day, 456 incidents of contention took place, with just under 20 per cent escalating into some form of violence. Electricity became the number one political issue in the country and was integral in shaping the outcomes of the 2013 General Election. Following the election, public authorities undertook extensive investment to expand capacity and ensure consistency in supply while evading questions about affordability and sustainability. On the surface, this appears to be a case of extensive protest working towards shaping state responsiveness. And it is true that the state now sees supply as a non-negotiable aspect in the social contract with citizens. However, a range of factors contributed to the chronology and the selective, generation-focused nature of this response. On the other hand, citizen inclusion and participation in decision-making, and issues of affordability and sustainability, which impact vulnerable and disempowered groups the most, remain absent from the political and policy conversation around energy. This suggests that while protests were useful in generating a short-term response, their long-term legacy in empowerment related outcomes is less visible.

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This Technical Note describes the ecosystem service model data packets which were developed through the Integrated Economic-Environmental Modeling (IEEM) Platform project to facilitate the application of ecosystem services modeling to support evidence-based public policy and investment decision making. The data packets provide the spatial data and lookup tables needed to run the InVEST carbon storage, annual water yield, sediment delivery ratio, and nutrient delivery ratio models for 21 countries (and counting) in the Latin American and the Caribbean region. This Technical Note describes the content and structure of the data packets, model specific considerations, the alignment of land cover data for use in InVEST lookup tables, the customization of model parameters, and best practices in the application of the data packets.

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This report presents the study findings associated with the project “Enhancing Rural Livelihoods in Georgia: Introducing Integrated Seed Health Approaches to Local Potato Seed Systems” in Georgia. It also incorporates information from the results of gender training conducted within the framework of the USAID Potato Program in Georgia. The study had three major aims: 1) to understand the gender-related opportunities and constraints impacting the participation of men and women in potato seed systems in Georgia; 2) to test the multistakeholder framework for intervening in root, tuber, and banana (RTB) seed systems as a means to understand the systems themselves and the possibilities of improving gender-related interventions in the potato seed system; and 3) to develop farmers’ leadership skills to facilitate women’s active involvement in project activities. Results of the project assessment identified certain constraints on gender mainstreaming in the potato seed system: a low level of female participation in decision-making processes, women’s limited access to finances that would enable their greater involvement in larger scale potato farming, and a low awareness of potato seed systems and of possible female involvement in associated activities. Significantly, the perception of gender roles and stereotypes differs from region to region in Georgia; this difference is quite pronounced in the target municipalities of Kazbegi, Marneuli, and Akhalkalaki, with the last two having populations of ethnic minorities (Azeri and Armenian, respectively). For example, in Marneuli, although women are actively involved in potato production, they are not considered farmers but mainly as assistants to farmers, who are men. This type of diversity (or lack thereof) results in a different understanding of gender mainstreaming in the potato seed system as well. Based on the training results obtained in three target regions—Akhalkalaki, Akhaltsikhe, and Marneuli—it is evident that women are keen on learning new technologies and on acquiring updated agricultural information, including on potato production. It is also clear that women spend as much time as men do on farming activities such as potato production, particularly in weeding and harvesting. However, women are heavily burdened with domestic work, and they are not major decision-makers with regard to potato variety selection, agricultural investments, and product sales, nor with the inclusion of participants in any training provided. Involving women in project activities will lead to greater efficiency in the potato production environment, as women’s increased knowledge will certainly contribute to an improved production process, and their new ideas will help to improve existing production systems, through which women could also gain confidence and power. As a general recommendation, it is extremely important to develop equitable seed systems that take into consideration, among other factors, social context and the cultural aspects of local communities. Thus, understanding male and female farmers’ knowledge may promote the development of seed systems that are sustainable and responsive to farmers’ needs and capacities.