Summary of selected studies
| Theory | Context | Characteristics | Methodology | |
|---|---|---|---|---|
| Theory applied | Author(s) and year | Product(s) under study | Response under study | |
| Closed-loop supply chain, cannibalization modeling | Guide and Li (2010) | Bosch power tools (Jigsaw), Cisco network security device | Willingness to pay | Experimental (eBay data, 73, auctions) |
| Green consumer behavior theory | Michaud and Llerena (2010) | Camera | Willingness to pay | Experimental (a series of third-price sealed bid auctions) |
| Ambiguity tolerance | Hazen et al. (2012) | (1) Personal electronics (2) Home or business electronics (3) Industrial items (4) Vehicle parts | Willingness to pay | Survey, students, 340 |
| No specific named theory, but grounded in environmental attitude and price sensitivity research | Borin et al. (2013) | Printer | Perceived quality, purchase intention, and environmental attitudes | Experimental, scenario-based, students, 416 |
| Theory of planned behavior, theory of perceived risk | Wang et al. (2013) | Remanufactured automotive products | Purchase intention | Survey; 288 participants |
| Perceived quality, perceived risk, and willingness to pay | Hamzaoui-Essoussi and Linton (2014) | Domtar - paper, LG - cell phones, NEC - printers, Konica - single-use cameras, and Epson - toner cartridges | Willingness to pay | Survey, student sample, 322 |
| Theory of planned behavior | Jimenez-Parra et al. (2014) | Laptops | Purchase intention | Survey, students, 1529 |
| Grounded theory | Gaur et al. (2015) | Not specified (general remanufactured products) | Purchase behavior | Qualitative (interviews, Indian born consumers residing in USA, 45 |
| Insurance theory | Liao et al. (2015) | Not specified | Price | Mathematical modelling |
| No specific named theory | Harms and Linton (2016) | Single-use camera, cell phone, printer, toner cartridge, car tire (everything branded) | Willingness to pay | Survey, students, 231 |
| Information asymmetry theory | Frota Neto et al. (2016) | iPods | Willingness to pay | eBay data, 1716 |
| EKB model | Van Weelden et al. (2016) | Cell phones (Apple) | Acceptance | Qualitative (in-depth interviews, consumers, 20) |
| Prospect theory | Wang and Hazen (2016) | Engine | Purchase intention | Survey, students, 264 |
| Behavioral operations, risky choice theory | Abbey et al. (2017) | Remanufactured Apple electronics (smartphones) | Willingness to pay (WTP), perceived quality, perceived risk | Study 1: Survey, Mturk (consumers), 82 Study 2: Survey, Mturk (consumers), 130 Study 3: Experimental, recruited students, 56 |
| Kano model | Atlason et al. (2017) | Refrigerator, microwave, vacuum cleaner, electric coffee machine, laptop, smartphone, digital camera, television | Customer satisfaction, willingness to pay | Survey, consumers, 146 |
| Perceived quality (multidimensional aspect) | Hazen et al. (2017b) | Automotive parts, consumer electronics | Switching intention | Measurement and scale development |
| Push-Pull-Mooring theory of migration | Hazen et al. (2017a) | Laptops | Switching intention | Survey, students and MTurk, 445, 475 |
| Theory of planned behavior | Khor and Hazen (2017) | (1) large household equipment, (2) small household equipment, (3) information technology and telecommunication equipment, (4) consumer equipment, (5) electrical and electronic tools and (6) toys, leisure and sports equipment | Purchase intention | Survey, consumers, 165 |
| No specific named theory | Mugge et al. (2017b) | Electric toothbrush, kettle, computer mouse, sunglasses, hanger, headphones, umbrella, vase, camera, cooking pot, wallet, iron, microwave, stereo, wrist watch, armchair, clock, laptop, smartphone, standing light, trashbin, washing machine, backpack, coffee maker, desk lamp, drill, office chair, suitcase, table, wardrobe (mentioned with potential to accept) | Consumer acceptance by product type | Qualitative (in-depth interviews, consumers, 18) |
| EKB model | Mugge et al. (2017a) | Smartphones | Purchase intention | Survey, consumers, 250 |
| Utility theory, transaction cost theory, and market signal theory | Xu et al. (2017) | Tablets (Apple iPad 2) | Willingness to pay | eBay data, 3002 auctions, 1657 fixed price transactions |
| Signaling theory | Bittar (2018) | Laptop | Purchase behavior | Experimental (vignette-based field experiment) |
| Trade-off theory | Kwarteng et al. (2018) | Electronic products (not specified) | Consumer preferences in online purchases of used electronics | Survey, students, 429 |
| No specific named theory | Matsumoto et al. (2018) | Automotive parts | Knowledge, perceived benefits/risks, and purchase intention | Survey, consumers, 973 |
| Green consumer behavior framework | Matsumoto et al. (2018) | Automotive parts (alternator and/or starter) | Green purchasing behavior, stakeholder influence | Survey, consumers, 1500 |
| Choice modeling | McKie et al. (2018) McKie et al. (2018) | Tablets (Apple iPad) | Product evaluation | eBay data, 7700 |
| No specific named theory | Mugge et al. (2018) | Smartphones (Apple) | Purchase motivation and response to incentives | Experimental, 110; Post-hoc interviews (12) |
| Neutrosophic logic | Vafadarnikjoo et al. (2018) | Bike | Motivational factors (quality, warranty, price, etc.) | Survey, students, 104 |
| No specific named theory; he study draws on status consumption, value consciousness, and green marketing frameworks within the circular economy context | Wang and Kuah (2018) | Electronic products (tablets, laptops, smartphones) | Purchase intention | Survey, consumers, 1168 |
| Theory of planned behavior | Wang et al. (2018) | Remanufactured cellular phones | Purchase intention | Survey; 493 usable responses |
| Behavioral decision theory, risky-choice framework | Abbey et al. (2019) | Remanufactured smartphones (iPhone, Huawei) | Willingness to pay, perceived risk, ambiguity aversion | Behavioral modeling and incentivized experiments; 96 participants |
| No specific named theory | Duan and Aloysius (2019) | Laptops | Willingness to pay premium, perceived quality | Experimental (2 studies, 2x2, Mturk, 348) |
| NA | Singhal et al. (2019a) | Not specified | Purchase intention | Literature review (meta-analysis), 10 |
| Theory of planned behavior | Singhal et al. (2019b) | Electronic products (smartphones, laptops) | Purchase intention | Survey, students, 1534 |
| No specific named theory | Cao et al. (2020) | Not specified (general remanufactured products) | Public awareness and policy effectiveness | Survey, 572 |
| Prospect theory | Gan and Chen (2020) | Not specified | Purchase motivation | Survey, students, 107 |
| Mental model theory | Moosmayer et al. (2020) | Volkswagen Golf 1.4T (130 HP), engine type (new/remanufactured) | Consumer preferences and utility for remanufactured engines (vs. new). | Choice-based conjoint analysis; 199 participants |
| Stimulus–response model, theory of planned behavior | Pisitsankkhakarn and Vassanadumrongdee (2020) | Engine alternator | Purchase intention | Survey, consumers, 200 |
| Theory of planned behavior | Wang et al. (2020b) | Remanufactured cellular phones | Purchase intention | Survey, students, 497 |
| Signaling theory | Wang et al. (2020a) | Laptops | Switching intention | Survey, consumers, 906 |
| Stimulus response model, prospect theory | Agostini et al. (2021) | Smartphones | Purchase intention | Survey, students, 444 |
| No specific named theory | Boyer et al. (2021) | Smartphones, robot vacuum cleaners | Willingness to pay for different levels of circularity | Survey, consumers, 800 |
| Perceived risk theory | Confente et al. (2021) | Tablets (fictional brand) | Perceived risk, purchase intention | Survey experiment; 302 participants (UK) |
| Value–attitude–behavior (VAB) framework | De Silva et al. (2021) | Not specified (general remanufactured products) | Purchase intention | Survey, consumers, 956 |
| Combination of theory of planned behavior, economic theories and bounded rationality theories | Esmaeilian et al. (2021) | Cell phones | Acceptance | Survey, students, 227 |
| Theory of planned behavior | Kerber et al. (2021) | Electronic products (not specified) | Demand risk, price | Survey, random, 256 |
| Customer satisfaction | Nasiri and Shokouhyar (2021) | Smartphones | Customer satisfaction (focus on dimensions of CS and post-purchase behavior) | Observational (analysis of product reviews in online retailing) |
| Push-Pull-Mooring theory of migration | Perez-Castillo and Vera-Martinez (2020) | Smartphones | Switching intention | Survey, consumers, 248; in-depth interviews, 13 |
| Theory of planned behavior | Zhang and Luo (2021) | Not specified | Purchase intention | Survey, consumers, 676 |
| Stimulus-organism-response (S-O-R), complexity theory | Abbasi et al. (2022) | Remanufactured consumer electronics | Intention to purchase remanufactured products | Survey; 253 participants (Malaysia) |
| Theory of planned behavior and attitude-behavior-context theory | Bigliardi et al. (2022) | Smartphones | Purchase intention | Survey (Delphi technique), experts, 20 |
| Regulatory focus theory, theory of planned behavior | Chinen et al. (2022) | Automotive parts | Willingness to purchase | Survey; 1440 participants |
| Combination of theory of planned behavior and economic theories which focuses on price and socioeconomic characteristics | Chun et al. (2022) | Smartphones | Purchase intention | Survey, consumers, 1200 |
| Socio-technical systems (STS) theory | Gaur et al. (2022) | Not specified | Willingness to purchase | Focus group discussion (20), Depth interviews (17), consumers aware of refurbished products |
| Disgust theory, mere exposure effect, familiarity–liking hypothesis | Abdulla et al. (2023) | Study 1: not specified Study 2: Philips Sonicare Electric Toothbrush and a Samsung Bluetooth Headset Study 3: electric toothbrush | Appeal and willingness to pay (WTP) for remanufactured products | Study 1: Survey, Mturk (consumers), 196 Study 2: Survey, students, 223 Study 3: Experimental, recruited participants, 389 (physical exposure through virtual simulation) |
| Complexity theory, protection motivation theory | Alyahya et al. (2023) | Refurbished products (unspecified category) | Intention to purchase refurbished products | Exploratory, Fuzzyset qualitative comparative analysis (FsQCA) (online survey, consumers, 472) |
| Complexity theory | Alyahya et al. (2023) | Not specified | Purchase behavior | Exploratory, Fuzzyset qualitative comparative analysis (FsQCA) (online survey, consumers, 420) |
| Theory, context, characteristics and methodology (TCCM) framework | Belbağ and Belbağ (2023) | The articles covered are mostly studied electronic remanufactured products | Not applicable | Systematic review of the literature |
| No specific named theory | Chun et al. (2023) | EV parts | Purchase intention | Survey, consumers, 600 |
| Utilitarian and hedonic dimensions | De Guimarães et al. (2023) | Smartphones | Purchase intention | Survey, random, 2543 |
| Consumer preference theory | Koide et al. (2023) | Refrigerator | Preferences for circular business models, market cannibalization, consumer segments | Survey with conjoint, 1194 consumers; then simulation |
| Network effects, signaling theory | Zheng et al. (2024) | Tablet, smartwatches | Purchase intention | Pricing regression model (Amazon data), Experiment: (1) 361, mTurk, (2) 277, mTurk |
| Theory | Context | Characteristics | Methodology | |
|---|---|---|---|---|
| Theory applied | Author(s) and year | Product(s) under study | Response under study | |
| Closed-loop supply chain, cannibalization modeling | Bosch power tools (Jigsaw), Cisco network security device | Willingness to pay | Experimental (eBay data, 73, auctions) | |
| Green consumer behavior theory | Camera | Willingness to pay | Experimental (a series of third-price sealed bid auctions) | |
| Ambiguity tolerance | (1) Personal electronics (2) Home or business electronics (3) Industrial items (4) Vehicle parts | Willingness to pay | Survey, students, 340 | |
| No specific named theory, but grounded in environmental attitude and price sensitivity research | Printer | Perceived quality, purchase intention, and environmental attitudes | Experimental, scenario-based, students, 416 | |
| Theory of planned behavior, theory of perceived risk | Remanufactured automotive products | Purchase intention | Survey; 288 participants | |
| Perceived quality, perceived risk, and willingness to pay | Domtar - paper, | Willingness to pay | Survey, student sample, 322 | |
| Theory of planned behavior | Laptops | Purchase intention | Survey, students, 1529 | |
| Grounded theory | Not specified (general remanufactured products) | Purchase behavior | Qualitative (interviews, Indian born consumers residing in USA, 45 | |
| Insurance theory | Not specified | Price | Mathematical modelling | |
| No specific named theory | Single-use camera, cell phone, printer, toner cartridge, car tire (everything branded) | Willingness to pay | Survey, students, 231 | |
| Information asymmetry theory | iPods | Willingness to pay | eBay data, 1716 | |
| Cell phones (Apple) | Acceptance | Qualitative (in-depth interviews, consumers, 20) | ||
| Prospect theory | Engine | Purchase intention | Survey, students, 264 | |
| Behavioral operations, risky choice theory | Remanufactured Apple electronics (smartphones) | Willingness to pay ( | Study 1: Survey, Mturk (consumers), 82 Study 2: Survey, Mturk (consumers), 130 Study 3: Experimental, recruited students, 56 | |
| Kano model | Refrigerator, microwave, vacuum cleaner, electric coffee machine, laptop, smartphone, digital camera, television | Customer satisfaction, willingness to pay | Survey, consumers, 146 | |
| Perceived quality (multidimensional aspect) | Automotive parts, consumer electronics | Switching intention | Measurement and scale development | |
| Push-Pull-Mooring theory of migration | Laptops | Switching intention | Survey, students and MTurk, 445, 475 | |
| Theory of planned behavior | (1) large household equipment, (2) small household equipment, (3) information technology and telecommunication equipment, (4) consumer equipment, (5) electrical and electronic tools and (6) toys, leisure and sports equipment | Purchase intention | Survey, consumers, 165 | |
| No specific named theory | Electric toothbrush, kettle, computer mouse, sunglasses, hanger, headphones, umbrella, vase, camera, cooking pot, wallet, iron, microwave, stereo, wrist watch, armchair, clock, laptop, smartphone, standing light, trashbin, washing machine, backpack, coffee maker, desk lamp, drill, office chair, suitcase, table, wardrobe (mentioned with potential to accept) | Consumer acceptance by product type | Qualitative (in-depth interviews, consumers, 18) | |
| Smartphones | Purchase intention | Survey, consumers, 250 | ||
| Utility theory, transaction cost theory, and market signal theory | Tablets (Apple iPad 2) | Willingness to pay | eBay data, 3002 auctions, 1657 fixed price transactions | |
| Signaling theory | Laptop | Purchase behavior | Experimental (vignette-based field experiment) | |
| Trade-off theory | Electronic products (not specified) | Consumer preferences in online purchases of used electronics | Survey, students, 429 | |
| No specific named theory | Automotive parts | Knowledge, perceived benefits/risks, and purchase intention | Survey, consumers, 973 | |
| Green consumer behavior framework | Automotive parts (alternator and/or starter) | Green purchasing behavior, stakeholder influence | Survey, consumers, 1500 | |
| Choice modeling | Tablets (Apple iPad) | Product evaluation | eBay data, 7700 | |
| No specific named theory | Smartphones (Apple) | Purchase motivation and response to incentives | Experimental, 110; Post-hoc interviews (12) | |
| Neutrosophic logic | Bike | Motivational factors (quality, warranty, price, etc.) | Survey, students, 104 | |
| No specific named theory; he study draws on status consumption, value consciousness, and green marketing frameworks within the circular economy context | Electronic products (tablets, laptops, smartphones) | Purchase intention | Survey, consumers, 1168 | |
| Theory of planned behavior | Remanufactured cellular phones | Purchase intention | Survey; 493 usable responses | |
| Behavioral decision theory, risky-choice framework | Remanufactured smartphones (iPhone, Huawei) | Willingness to pay, perceived risk, ambiguity aversion | Behavioral modeling and incentivized experiments; 96 participants | |
| No specific named theory | Laptops | Willingness to pay premium, perceived quality | Experimental (2 studies, 2x2, Mturk, 348) | |
| Not specified | Purchase intention | Literature review (meta-analysis), 10 | ||
| Theory of planned behavior | Electronic products (smartphones, laptops) | Purchase intention | Survey, students, 1534 | |
| No specific named theory | Not specified (general remanufactured products) | Public awareness and policy effectiveness | Survey, 572 | |
| Prospect theory | Not specified | Purchase motivation | Survey, students, 107 | |
| Mental model theory | Volkswagen Golf 1.4T (130 | Consumer preferences and utility for remanufactured engines (vs. new). | Choice-based conjoint analysis; 199 participants | |
| Stimulus–response model, theory of planned behavior | Engine alternator | Purchase intention | Survey, consumers, 200 | |
| Theory of planned behavior | Remanufactured cellular phones | Purchase intention | Survey, students, 497 | |
| Signaling theory | Laptops | Switching intention | Survey, consumers, 906 | |
| Stimulus response model, prospect theory | Smartphones | Purchase intention | Survey, students, 444 | |
| No specific named theory | Smartphones, robot vacuum cleaners | Willingness to pay for different levels of circularity | Survey, consumers, 800 | |
| Perceived risk theory | Tablets (fictional brand) | Perceived risk, purchase intention | Survey experiment; 302 participants ( | |
| Value–attitude–behavior ( | Not specified (general remanufactured products) | Purchase intention | Survey, consumers, 956 | |
| Combination of theory of planned behavior, economic theories and bounded rationality theories | Cell phones | Acceptance | Survey, students, 227 | |
| Theory of planned behavior | Electronic products (not specified) | Demand risk, price | Survey, random, 256 | |
| Customer satisfaction | Smartphones | Customer satisfaction (focus on dimensions of | Observational (analysis of product reviews in online retailing) | |
| Push-Pull-Mooring theory of migration | Smartphones | Switching intention | Survey, consumers, 248; in-depth interviews, 13 | |
| Theory of planned behavior | Not specified | Purchase intention | Survey, consumers, 676 | |
| Stimulus-organism-response (S-O-R), complexity theory | Remanufactured consumer electronics | Intention to purchase remanufactured products | Survey; 253 participants (Malaysia) | |
| Theory of planned behavior and attitude-behavior-context theory | Smartphones | Purchase intention | Survey (Delphi technique), experts, 20 | |
| Regulatory focus theory, theory of planned behavior | Automotive parts | Willingness to purchase | Survey; 1440 participants | |
| Combination of theory of planned behavior and economic theories which focuses on price and socioeconomic characteristics | Smartphones | Purchase intention | Survey, consumers, 1200 | |
| Socio-technical systems ( | Not specified | Willingness to purchase | Focus group discussion (20), Depth interviews (17), consumers aware of refurbished products | |
| Disgust theory, mere exposure effect, familiarity–liking hypothesis | Study 1: not specified Study 2: Philips Sonicare Electric Toothbrush and a Samsung Bluetooth Headset Study 3: electric toothbrush | Appeal and willingness to pay ( | Study 1: Survey, Mturk (consumers), 196 Study 2: Survey, students, 223 Study 3: Experimental, recruited participants, 389 (physical exposure through virtual simulation) | |
| Complexity theory, protection motivation theory | Refurbished products (unspecified category) | Intention to purchase refurbished products | Exploratory, Fuzzyset qualitative comparative analysis (FsQCA) (online survey, consumers, 472) | |
| Complexity theory | Alyahya et al. (2023) | Not specified | Purchase behavior | Exploratory, Fuzzyset qualitative comparative analysis (FsQCA) (online survey, consumers, 420) |
| Theory, context, characteristics and methodology ( | The articles covered are mostly studied electronic remanufactured products | Not applicable | Systematic review of the literature | |
| No specific named theory | Purchase intention | Survey, consumers, 600 | ||
| Utilitarian and hedonic dimensions | Smartphones | Purchase intention | Survey, random, 2543 | |
| Consumer preference theory | Refrigerator | Preferences for circular business models, market cannibalization, consumer segments | Survey with conjoint, 1194 consumers; then simulation | |
| Network effects, signaling theory | Tablet, smartwatches | Purchase intention | Pricing regression model (Amazon data), Experiment: (1) 361, mTurk, (2) 277, mTurk | |
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