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• 1. [Article] Finex Marketing Plan

  The purpose of this marketing plan is to find an appropriate target market for the Finex 12” cast iron skillet. Within this market, a marketing strategy needs to be developed which caters to the need of ...

  Citation × Citation Citation Abstract Copy Title: Finex Marketing Plan Author: Finn, Daragh, Boss, Viktoria, Kessler, Lukas, Krueger, Justin, Worcester, Amitabha Year: 2014 The purpose of this marketing plan is to find an appropriate target market for the Finex 12” cast iron skillet. Within this market, a marketing strategy needs to be developed which caters to the need of the customer and assures financial stability for the company. From extensive research and customer surveys, the most promising customer identified for the Finex skillet are “prestige customers” who value boutique goods with a superior design and very high quality. Accordingly, a price reflecting the high quality of the skillet is set within the marketing strategy section. Within the unique value proposition for this product, the features most desired by the customer segment are highlighted. Also the promotion and placement strategy are tuned to the needs of the prestige customer segment. Overall, the marketing plan allows Finex to continue to sell a successful and profitable product. Title: Finex Marketing Plan Author: Finn, Daragh, Boss, Viktoria, Kessler, Lukas, Krueger, Justin, Worcester, Amitabha Year: 2014 The purpose of this marketing plan is to find an appropriate target market for the Finex 12” cast iron skillet. Within this market, a marketing strategy needs to be developed which caters to the need of the customer and assures financial stability for the company. From extensive research and customer surveys, the most promising customer identified for the Finex skillet are “prestige customers” who value boutique goods with a superior design and very high quality. Accordingly, a price reflecting the high quality of the skillet is set within the marketing strategy section. Within the unique value proposition for this product, the features most desired by the customer segment are highlighted. Also the promotion and placement strategy are tuned to the needs of the prestige customer segment. Overall, the marketing plan allows Finex to continue to sell a successful and profitable product. Close

• 2. [Article] LeadApp: Sales Opportunity Management

  When bringing a product to market, companies must attract customers and sell to those who are willing to buy. The model we use to describe that process is the sales funnel, and though it has been challenged ...

  Citation × Citation Citation Abstract Copy Title: LeadApp: Sales Opportunity Management Author: Atkinson, Paul, Wease, Greg, Lui, Jonathan, Omulindi, Jared Year: 2015 When bringing a product to market, companies must attract customers and sell to those who are willing to buy. The model we use to describe that process is the sales funnel, and though it has been challenged it is still broadly accepted. This is particularly clear in high-tech markets where high-value products often have a very long sales cycle, but bringing a product to market is often a young tech company’s Achilles’ heel. We believe these companies would be well served by the combination of software and services we propose. Title: LeadApp: Sales Opportunity Management Author: Atkinson, Paul, Wease, Greg, Lui, Jonathan, Omulindi, Jared Year: 2015 When bringing a product to market, companies must attract customers and sell to those who are willing to buy. The model we use to describe that process is the sales funnel, and though it has been challenged it is still broadly accepted. This is particularly clear in high-tech markets where high-value products often have a very long sales cycle, but bringing a product to market is often a young tech company’s Achilles’ heel. We believe these companies would be well served by the combination of software and services we propose. Close

• 3. [Article] NEST 3rd Generation Thermostat: 2017 United States Marketing Plan

  Current-State Assessment ● The Nest thermostat is currently holding a leader position in the crowded U.S. smart thermostat market, with approximately 35 percent market share.1 ● American consumers are ...

  Citation × Citation Citation Abstract Copy Title: NEST 3rd Generation Thermostat: 2017 United States Marketing Plan Author: Viratos, Brea, Binus, Joshua, Dabab, Maoloud, Beltaif, Nader, Laraichi, Oussama, Hanayneh, Shihab Year: 2017 Current-State Assessment ● The Nest thermostat is currently holding a leader position in the crowded U.S. smart thermostat market, with approximately 35 percent market share.1 ● American consumers are increasingly purchasing smart thermostats; subsequently, market forecasts of consumer demand project a growth market.2 ● The smart thermostat market is a sub-market to a much larger smart home market, with billions of growth potential to Google/Nest in the coming years. Sales of smart thermostats offer a high-value opportunity to establish a beachhead in one of the most promising electronic device-related markets in the coming decades--possibly the most promising ● The biggest barrier capable of being addressed, directly, by Nest is the high purchase price ($250). 2017 U.S. Target Market ● Mid- and high-level income homeowners (with broadband internet access) ● Do-it-yourself (DIY) problem solvers 2017 Sales & Revenue Forecasts ● Total Achievable Market = $1.5B (6M units) ● Serviceable Available Market ○ Low Estimate = $480M total revenue (1.92M units) ■ Assumes 35 percent market share ○ High Estimate = $600M total revenue (2.4M units) ■ Assumes 40 percent market share 2017 Goals and Objectives ● Goals: Increase sales/profit and jump the chasm ● Objectives ○ Increase customer retention by providing high-quality customer services, solving issues quickly and effectively ○ Expand sales to existing customers who have a prior generation Nest thermostat. ○ Leverage utility relationships/programs to lower prices and gain access to midincome market. ○ Expand footprint in retail markets (do-it-yourselfers, home builders, service professionals). Title: NEST 3rd Generation Thermostat: 2017 United States Marketing Plan Author: Viratos, Brea, Binus, Joshua, Dabab, Maoloud, Beltaif, Nader, Laraichi, Oussama, Hanayneh, Shihab Year: 2017 Current-State Assessment ● The Nest thermostat is currently holding a leader position in the crowded U.S. smart thermostat market, with approximately 35 percent market share.1 ● American consumers are increasingly purchasing smart thermostats; subsequently, market forecasts of consumer demand project a growth market.2 ● The smart thermostat market is a sub-market to a much larger smart home market, with billions of growth potential to Google/Nest in the coming years. Sales of smart thermostats offer a high-value opportunity to establish a beachhead in one of the most promising electronic device-related markets in the coming decades--possibly the most promising ● The biggest barrier capable of being addressed, directly, by Nest is the high purchase price ($250). 2017 U.S. Target Market ● Mid- and high-level income homeowners (with broadband internet access) ● Do-it-yourself (DIY) problem solvers 2017 Sales & Revenue Forecasts ● Total Achievable Market = $1.5B (6M units) ● Serviceable Available Market ○ Low Estimate = $480M total revenue (1.92M units) ■ Assumes 35 percent market share ○ High Estimate = $600M total revenue (2.4M units) ■ Assumes 40 percent market share 2017 Goals and Objectives ● Goals: Increase sales/profit and jump the chasm ● Objectives ○ Increase customer retention by providing high-quality customer services, solving issues quickly and effectively ○ Expand sales to existing customers who have a prior generation Nest thermostat. ○ Leverage utility relationships/programs to lower prices and gain access to midincome market. ○ Expand footprint in retail markets (do-it-yourselfers, home builders, service professionals). Close

• 4. [Article] Evaluating Big Data Projects Probability of Success: A Hierarchical Decision Model

  This paper represents a team project conducted as part of ETM 530/630 Decision Making class in Winter-2017. In this project, team 4 investigated a known challenge related to big data; big data projects ...

  Citation × Citation Citation Abstract Copy Title: Evaluating Big Data Projects Probability of Success: A Hierarchical Decision Model Author: Giadedi, Abdulhakim, Eljayar, Ali, Barham, Husam, Patil, Priyanka, Vasanth, Shreyas Year: 2017 This paper represents a team project conducted as part of ETM 530/630 Decision Making class in Winter-2017. In this project, team 4 investigated a known challenge related to big data; big data projects have high failure percentage, causing firms to lose time, money, and resources in futile efforts to gain advantages from big data insights and analytics. In this project, the reasons behind big data projects failure were explored. Leading to the development of an HDM model that can be used by firms to evaluate readiness to implement this kind of projects, and highlight/address probable causes of failure before the project even start. Hence, increasing the chances of implementing a successful project that will lead to a big data system that can deliver value to firm and provide insights and analytics that will significantly help in addressing the problem it is built to help solve. The model was evaluated by experts from the industry, and then tested against a hypothetical case, in which Portland State University readiness to implement a big data project to address a main problem facing the university was conducted. Finally, a discussion about the results of the model, experts’ evaluation, and case study were offered. Title: Evaluating Big Data Projects Probability of Success: A Hierarchical Decision Model Author: Giadedi, Abdulhakim, Eljayar, Ali, Barham, Husam, Patil, Priyanka, Vasanth, Shreyas Year: 2017 This paper represents a team project conducted as part of ETM 530/630 Decision Making class in Winter-2017. In this project, team 4 investigated a known challenge related to big data; big data projects have high failure percentage, causing firms to lose time, money, and resources in futile efforts to gain advantages from big data insights and analytics. In this project, the reasons behind big data projects failure were explored. Leading to the development of an HDM model that can be used by firms to evaluate readiness to implement this kind of projects, and highlight/address probable causes of failure before the project even start. Hence, increasing the chances of implementing a successful project that will lead to a big data system that can deliver value to firm and provide insights and analytics that will significantly help in addressing the problem it is built to help solve. The model was evaluated by experts from the industry, and then tested against a hypothetical case, in which Portland State University readiness to implement a big data project to address a main problem facing the university was conducted. Finally, a discussion about the results of the model, experts’ evaluation, and case study were offered. Close

• 5. [Article] Multi-Perspective Technology Assessment to Improve Decision Making: A Novel Approach Using Fuzzy Cognitive Mapping for a Large-Scale Transmission Line Upgrade

  The objective of the technology assessment (TA) process is to understand problematic and undesirable consequences from the development and application of technology. TA advocates for the engagement of ...

  Citation × Citation Citation Abstract Copy Title: Multi-Perspective Technology Assessment to Improve Decision Making: A Novel Approach Using Fuzzy Cognitive Mapping for a Large-Scale Transmission Line Upgrade Author: Sperry, Richard Chad Year: 2014 The objective of the technology assessment (TA) process is to understand problematic and undesirable consequences from the development and application of technology. TA advocates for the engagement of technology experts and stakeholders to understand the effects of technology. However, TA is often criticized that the decision-making process is not transparent - leaving stakeholders wondering if their contributions were heard. Furthermore, the methods have limited capability for conducting tradeoff analysis between the organizational objectives and conflicting stakeholder perspectives that can result in unintended consequences. Finally, these methods are static making it difficult to update and reassess decision alternatives when new information about issues becomes available. This dissertation research addresses these problems by developing a new technology assessment methodology using Fuzzy Cognitive Mapping (Fuzzy Cognitive TA - FCTA). This novel approach supports both stages of the process: capturing expert and stakeholder perspectives in cognitive maps, and then using FCM for assessment and decision-making. The methodology shows how experts and stakeholders perceive the value or harm of a technology alternative, which stakeholders share the same perspectives, and how these perspectives change over time. The methodology also shows the degree to which expert and stakeholder perspectives are in support or in conflict with the organizational objectives to help avoid the direct and indirect consequences associated with the decision. Finally, the methodology shows how new or changing perspectives by experts and stakeholders affect the outcome of the decision to improve system knowledge. The research applies the FCTA methodology with a real-world Environmental Impact Study conducted by the Bonneville Power Administration (BPA). BPA is a U.S. federal agency that provides about a third of the electric power and 75 percent of the high-voltage electric transmission in the Pacific Northwest. Title: Multi-Perspective Technology Assessment to Improve Decision Making: A Novel Approach Using Fuzzy Cognitive Mapping for a Large-Scale Transmission Line Upgrade Author: Sperry, Richard Chad Year: 2014 The objective of the technology assessment (TA) process is to understand problematic and undesirable consequences from the development and application of technology. TA advocates for the engagement of technology experts and stakeholders to understand the effects of technology. However, TA is often criticized that the decision-making process is not transparent - leaving stakeholders wondering if their contributions were heard. Furthermore, the methods have limited capability for conducting tradeoff analysis between the organizational objectives and conflicting stakeholder perspectives that can result in unintended consequences. Finally, these methods are static making it difficult to update and reassess decision alternatives when new information about issues becomes available. This dissertation research addresses these problems by developing a new technology assessment methodology using Fuzzy Cognitive Mapping (Fuzzy Cognitive TA - FCTA). This novel approach supports both stages of the process: capturing expert and stakeholder perspectives in cognitive maps, and then using FCM for assessment and decision-making. The methodology shows how experts and stakeholders perceive the value or harm of a technology alternative, which stakeholders share the same perspectives, and how these perspectives change over time. The methodology also shows the degree to which expert and stakeholder perspectives are in support or in conflict with the organizational objectives to help avoid the direct and indirect consequences associated with the decision. Finally, the methodology shows how new or changing perspectives by experts and stakeholders affect the outcome of the decision to improve system knowledge. The research applies the FCTA methodology with a real-world Environmental Impact Study conducted by the Bonneville Power Administration (BPA). BPA is a U.S. federal agency that provides about a third of the electric power and 75 percent of the high-voltage electric transmission in the Pacific Northwest. Close

• 6. [Article] Economic Evaluation of Lease vs Buy Option For Electric Vehicles (EV)

  The skyrocketing gas prices, environmental impact, and reducing long term dependence on oil are some of the few issues which have really pushed both the consumers and the vehicle makers to consider vehicles ...

  Citation × Citation Citation Abstract Copy Title: Economic Evaluation of Lease vs Buy Option For Electric Vehicles (EV) Author: Sie, Felix, Chintala, Pratheek, Chhatre, Purva, Viswanatha, Raghunath, Kancherla, Yasaswi Deepak Year: 2015 The skyrocketing gas prices, environmental impact, and reducing long term dependence on oil are some of the few issues which have really pushed both the consumers and the vehicle makers to consider vehicles powered with alternate sources of energy such Hydrogen Gas, Fuel cell, Hybrid Battery and Gasoline powered, and finally Battery only powered or also known as Electric vehicle. Of the above mentioned options Electric Vehicles are widely popular (trending) in the current vehicle purchase market. In this report an attempt has been made to explore both lease and buy options and make a recommendation as to which one would be a better alternative for the consumer in said vehicle. The results of economic analysis show that, it is generally better to lease the vehicle at lower APR and when the lease period is shorter. On the other hand, it is better to buy the vehicle at a higher APR than to lease it, since leasing will make one pay almost as high in interest as the one buying the vehicle. It was also shown that since the market fluctuation for used vehicles is uncertain, it is more risky to buy the vehicle if one intends to use it for a shorter period, since vehicles generally depreciate quicker in the first few years -­‐ being able to sell it for an anticipated market value might be difficult. Title: Economic Evaluation of Lease vs Buy Option For Electric Vehicles (EV) Author: Sie, Felix, Chintala, Pratheek, Chhatre, Purva, Viswanatha, Raghunath, Kancherla, Yasaswi Deepak Year: 2015 The skyrocketing gas prices, environmental impact, and reducing long term dependence on oil are some of the few issues which have really pushed both the consumers and the vehicle makers to consider vehicles powered with alternate sources of energy such Hydrogen Gas, Fuel cell, Hybrid Battery and Gasoline powered, and finally Battery only powered or also known as Electric vehicle. Of the above mentioned options Electric Vehicles are widely popular (trending) in the current vehicle purchase market. In this report an attempt has been made to explore both lease and buy options and make a recommendation as to which one would be a better alternative for the consumer in said vehicle. The results of economic analysis show that, it is generally better to lease the vehicle at lower APR and when the lease period is shorter. On the other hand, it is better to buy the vehicle at a higher APR than to lease it, since leasing will make one pay almost as high in interest as the one buying the vehicle. It was also shown that since the market fluctuation for used vehicles is uncertain, it is more risky to buy the vehicle if one intends to use it for a shorter period, since vehicles generally depreciate quicker in the first few years -­‐ being able to sell it for an anticipated market value might be difficult. Close