survey
Research specifications of the studies included in the systematic survey.
Author, Year | Factor/Variable | Hypotheses |
---|---|---|
Temmerman et al. (2021) [ ] | Study 1: Perceived quality (PQ) Perceived tastiness (PT) Perceived healthiness (PH) Purchase intentions (PI) Study 2: Perceived healthiness (PH) Purchase intentions (PI) Nutritional knowledge (NK) Perceptions of healthy food (PhF) Dieting behavior (DB) Familiarity with Nutri-Score (NS) (FNS) | n.a. |
Kadekova et al. (2020) [ ] | Questionnaire: perception of PL product quality Blind test: sensory evaluation of yogurt, including color, aroma, consistency or density, taste and proportion of chocolate, the size of the packaging and its attractiveness | Gender (G) → buying PLs (–) G → quality rating of PLs (+) G → perception of PL product packaging (–) G → purchase of PLs (–) G → decisive factor to buying PLs (+) G → discouragement from buying PLs (–) |
Czeczotko et al. (2020) [ ] | Period of purchase of PL products (PP) Factors for purchasing PL products (FP) Opinions on the current development of PL products (OCD) Frequency of PL product purchasing (FPC) Share of PL products to total food purchases (SPL) | n.a. |
Anitha and Krishnan [ ] | Personal factor (PF) Impulse buying behavior (IBB) Store factor (SF) Urge to buy (UB) | PF → IBB (+); PF → UB (+) SF → IBB (–) SF → UB (+) UB → IBB (+) |
Košičiarová et al. (2020) [ ] | Purchase and frequency of purchase Brand loyalty Brand preference (traditional or PL) Motives for purchase Sensory properties of yogurts | Age → kind of preferred brand of purchased yogurts (+) Gender → kind of preferred brand of yogurts (+) A statistically significant difference in the purchasing preferences based on packaging (–) A statistically significant difference in the evaluation of yogurt flavors (+) |
Singh and Kumar Singhal (2020) [ ] | Perceived quality of PLs (PQ) Price consciousness (PC) Perceived value of PLs (PV) Store loyalty (SL) Quality consciousness (QC) Loyalty to PLs (PLL) Price sensitivity (PS) Willingness to pay for PLs (WP) | PQ → WP (+) PS → WP (–) PQ → PLL (+) PV → PLL (+) PV → the store’s overall image, in terms of brand and value (+) PLL → SL (+) PQ → SL (+) |
Košičiarová et al. (2020) [ ] | Questionnaire: Frequency of PL purchase (FPL) Purchases of PLs (P) Perception of quality (PQ) Consumer perception and consciousness about Product categories (CPC) Evaluation of packaging attractiveness (EPA) Factors of PL purchase (FP) Blind test: 7 chocolate-flavored yogurt samples; traditional brands vs. PL; investigated identical products | Gender (G) → PQ (+) G → P (+) Economic activity of respondents I → P (–) G → perception of PL product packaging (–) G → perception of facts that influence respondents to buy PLs (–) Age (A) → perception of facts that influence to buy PLs (–) G → decisive factor when buying PLs (+) R → decisive factor when buying PLs (–) G → facts that discourage from buying PLs (+) A → facts that discourage from buying PLs (+) |
Prediger et al. (2019) [ ] | Creating fictitious flyers and supermarket, featuring real NBs and fictitious PLs Different flyer designs (scenarios): (1) Store flyer page length; (2) Brand (NB or PL) on the cover page; and (3) An institutional slogan on the cover page as an incentive advertising Consumers received the flyers and answered an online survey Intentions to buy PL products | Four models: |
Gómez-Suárez et al. (2019) [ ] | Category: (1) Self-enhancement: self-transcendence, openness; conservation (2) Smart shopper self-concept (SSSC): smart-shopper behaviors, smart-shopper feelings, brand attitude (NB/PL) | Value structure (+) → attitude toward NBs (–) Value structure (+) → attitude toward PLs (–) SSSC (+) → attitude toward NBs (+) SSSC (+) → attitude toward PLs (+) Effect of SSSC on attitude → more positive for NBs than for PLs (+) |
Salazar- Ordóñez et al. (2018) [ ] | Attitude toward extra-virgin olive oil (EVOO) (AE) Attitude toward refined olive oil (AR) Perceived value of PLs (PV) | PV → AE (–) PV → AR (+) |
Liu et al. (2018) [ ] | Study 1: BESC (brand engagement in the self-concept); PL attitude; value consciousness; price consciousness Study 2: manipulated test in laboratory Study 3: manipulating brand engagement | Consumers with higher BESC prefer NBs over PLs (+) Consumers with lower BESC show increased preference for NBs relative to PLs (–) Consumers with higher BESC show reduced preference for NBs relative to PLs (+) |
Valaskova et al. (2018) [ ] | Consumer’s attitude (CA) and preferences in the choice of 10 categories of PL products | CA and individual demographic determinants (–) CA and factors leading to the purchase of PL products (–) CA and a particular type of the purchased product (–) |
Vázquez- Casielles and Cachero- Martinez (2018) [ ] | Information about products’ category (jam) and purchase situation: purchased brand, sale format of the purchased brand, purchased quantity, sale price, the product was on promotion, assortment size, and date of the last purchase | Economy PLs (EPL) → a negative brand-type similarity effect → decreases the choice of standard PLs (SPL) (–) EPLs → positive attraction effect → increases the choice probability of SPLs (+) EPLs → positive compromise effect → increases the choice probability of second-tier NB and SPLs (–) Premium PLs (PPL) → negative brand-type similarity effect → decreases the choice probability of EPLs and SPLs (+) PPLs → negative quality-tier similarity effect → decreases the choice probability of premium-quality NBs and second-tier NBs (+) PPLs → positive attraction effect → increases the choice probability of premium-quality NBs (+) |
Garczarek-Bąk (2018) [ ] | Perceived product esthetic (PPE) Perceived likelihood of buying the product (PI) Quality assessment (QA) Variants without showing the price and with normal price to control for the meaning of this factor | Women possess a relatively greater esthetic sensitivity to the appearance of PL products than men (–) The price knowledge will not affect the purchase decision of PL products within retailers (+) Young customers’ behavior in the process of buying PL products of distributive networks can be highly affected not by declared, but by latent factors (+) |
Meliana (2018) [ ] | Factors: logo, color, policy, cost, large stock, promo variations, complete products, and others | PL products have a significant effect on customers’ shopping preference PLs have a significant effect on store image |
Modica et al. (2018) [ ] | Comfort food vs. daily food Major brand vs. PLs Foreign vs. local Tactile, visual, and visual and tactile exploration | Major brand products present more attractive packaging than other products, and therefore elicit a higher approach tendency than the PL items (–) |
Schouteten et al. (2017) [ ] | Yogurt brands: two premium brands and three PLs Experiment: central location tests ( = 53) and home-use tests ( = 46) 3 test sessions (blind, expected, and informed) | - |
Jara et al. (2017) [ ] | Attitude (A) Perceived quality (PQ) Perceived price (PP) Packaging (P) Intent to buy (IB) Economic store brand (ESB) Organic store brand (OSB) Purchase intentions (PI) | PQ of PL products varies according to the type of P (+) Reinforced P → PQ of EPLs (+) Simplified P → PQ of EPLs (–) Simplified P → PQ of OPLs (+) Reinforced P → PQ of OPLs (+) Influence of PQ on the customers’ IB varies based on P (+) PQ of EPLs → PI due to a reinforced P (+) PQ of EPLs → PI due to a simplified P (–) PQ of OPLs → PI due to P (+) HPQ of OPLs → PI due to P (–) The more the type of P corresponds to a PL products’ positioning, the more it strengthens the customers’ IB (+) EPLs can increase customers’ IB via reinforced P (+) OPLs can increase customers’ IB via simplified packaging (+) |
Gomez-Suarez et al. (2016) [ ] | Two shampoo brands (NB and PL); different prices Preference (P) Attitude (A) Purchase intention (PI) Consumer preferences (CP) Quality inferences (QI) Smart shopper self-perception (SSSP) Consciousness (C) | A of PL products → preference for PL products (–) CP for PL products → PL products (–) C → A of PL products (+) SSSP → A of PLs (+) Familiarity with the NBs negatively(-) affects A of PLs (+) Perceived risk has a (−) impact on CP for PLs (+) C propensity for exploration has a (–) effect on PL product P (+) Impulsiveness has a (+) impact on PL product PI (+) QI made from price have a (–) impact on PL product A (+) QI made from brand image have a (–) impact on PL product A (–) QI made from brand reputation have a (–) impact on PL product A (–) QI made from product efficiency have (+) impact on PL product A (+) |
Marques dos Santos et al. (2016) [ ] | Analysis: product, price, decision, and interval 7 categories of food products (4 retailers × 7 categories = 28 different products × 2 brands (NB or PL)) Price manipulation applied | - |
Thanasuta (2015) [ ] | PL purchase Price consciousness (PC) Quality consciousness (QC) Brand consciousness (BC) Value consciousness (VC) Risk perception (RP) | PC → PL purchase (+) QC → PL purchase (−) BC → PL purchase (−) VC → PL purchase (+) RP → PL purchase (−) Product differentiation, risk level → PL purchase (+) |
Schnittka (2015) [ ] | 1. Perceived brand (in low and high category) 2. Price preference 2 × 3 × 3: (a) Economy PLs (EPLs): low-priced store, high-priced store, and overall, for each category: manufacturer, retailer, overall (EPL) (b) Premium PLs (PPLs): low-priced store, high-priced store, and overall, for each category: manufacturer, retailer, overall (PPL) Consumer preferences (CP) | In low-priced grocery stores, EPLs evoke more favorable CP than PPLs (+) In high-priced stores, EPLs evoke less favorable CP than PPLs (+) In product categories of low brand relevance, EPLs evoke more favorable CP than PPLs (+) In product categories of high brand relevance, EPLs evoke less favorable CP than PPLs (+) If consumers believe that the PLs are produced by a well-known manufacturer, EPLs evoke more favorable CP than PPLs (–) If consumers believe that the PLs are produced by the corresponding retailer itself, EPL products evoke less favorable CP than PPLs (–) |
Monnot et al. (2015) [ ] | 1. Price sensitivity (PS) Perceived quality (PQ) Environmental consciousness (EC) Perceived expensiveness (PE) Product involvement (PI) Perceived environmental friendliness (PEF) Perceived convenience (PC) 2. Mean with overpackaging (OP) and without overpackaging for mimic or generic PL products (yogurt) | Eliminating OP reduces PQ (–), reduces PE (+), increases PEF (+), and reduces the PC of the product (+) The influence of eliminating OP on the product’s PQ (+), PE (–), PEF (+), and PC depends on the PL concept: it should be stronger for a mimic PL product than for a generic PL product (+) The influence of eliminating OP on purchase intention is mediated by the product’s PQ (+), PE (–), PEF (–), and PC (+) |
Diallo et al. (2015) [ ] | Store image perceptions (SIP) PL price image (SPI) PL perceived value (PV) PL attitude (A) PL purchase intention (PI) PL choice | SIP → PL purchase (+) SIP → PI (+) PI → PL choice (+) PL product SPI → PI (+) PL product PV → PL choice (–) PL product PV → A (+) A → PL choice PI → PL choice |
Zielke and Komor (2015) [ ] | 1. Price consciousness: value consciousness, price–quality schema, prestige sensitivity, preference toward Ps and discounter preference Hypermarket preference 2. Preference toward PLs: discounter preference and hypermarket preference | The negative role (price and value consciousness) increases preferences for PLs, discounters, and hypermarkets (+) The positive role (price–quality schema, prestige sensitivity) decreases preferences for PL products and discounters but increases preferences for hypermarkets in low-price categories (+) |
Fall-Diallo et al. (2015) [ ] | Butter (3 types of PLs: standard (S), organic (O), local (L)) Yogurt (3 types of PLs: S, O, L) | - |
Delgado- Ballester et al. (2014) [ ] | Store image (SI) Functional risk (FR) Financial risk (FiR) Social risk (SR) Psychological risk (PR) Price unfairness (PU) Value consciousness (VC) Consumer perceptions (CP) | + SI reduces CP of the FR and FiR of PLs to a greater (lesser) degree with diminishing (rising) levels of VC (+) + SI reduces CP of the SR of PLs to a greater (lesser) degree with rising (diminishing) levels of consumer VC (–) + SI increases CP of the PR of PLs to a greater (lesser) degree with diminishing (rising) levels of consumer VC (–) Perceptions of FR, FiR, SR, and PR associated with PLs diminish the perception of the price unfairness of an alternative manufacturer’s brand (+) |
Bauer et al. (2013) [ ] | Study 1: main purchasing motives Study 2: (a) Experiment: 6 groups of PL products: local, global, or organic cereal products and nonorganic cereal products (b) Purchasing motives: Healthiness (PH) Hedonism (PHe) Environmental friendliness (EF) Food safety (FS) Study 3: the same 6 groups of products: Purchase intention (PI) Price premium (willingness to pay price premium) (WP) | Organic label (OL) of global (G)/local (L)/PLs causes a higher degree of PH than the respective G/L/PL brand without an OL (+) OL of G/L/PLs causes a higher degree of PHe than the respective G/L/PLs without OL (+) OL of G/L/PLs causes a higher degree of perceived EF than the respective G/L/PLs without OL (+) OL of G/L/PLs causes a higher degree of perceived FS than the respective G/L/PLs without an OL (+) OL of G/L/PL products leads to a higher PI than the respective G/L/PL products without an OL (+) OL of G/L/PLs leads to a higher WP a price premium than the respective G/L/PLs without an OL (+) |
Fall Diallo et al. (2013) [ ] | Store image perceptions (SIP) PL price image (PI) Value consciousness (VC) Attitude toward PLs (A) PL purchase intention (PIn) PL choice | SIP → PIn (+) SIP → PI (+) PIn → PL choice (+) SIP → PI (+) PI → PIn (+) PL product PI → PL choice (+) PI → PIn → PL choice (+) VC → PIn (+) VC → PL choice (+) VC → A (+) PIn → PL choice (+) VC → A (+) A → PL choice (+) PIn → PL choice (+) |
Herstein et al. (2012) [ ] | Choice of 2 types of brands (NB and PL), 5 food and 5 nonfood products Brand dimensions: brand name, packaging, country of origin Individualism (I): vertical (VI) and horizontal (HI) individualism Measure of materialism (M) Need for cognition (NC) | I is correlated with the inclination to purchase PLs M is correlated with the inclination to purchase PLs The need for cognition is correlated with the inclination to purchase PLs There will be cross-cultural differences in the inclination to purchase PLs Culture moderates the effect of personality on preference for PLs vs. NBs |
Wyma et al. (2012) [ ] | Brand preference (25 products available in NB and PLs) Psychographic statements related to brands Demographic characteristics | - |
Tifferet and Herstein (2010) [ ] | Willingness to purchase (NB or PL) for 10 types of products (5 food products and 5 nonfood products) Brand image, 3 factors: importance of packaging design, manufacturer’s brand name reputation, and country of origin Individualism and collectivism | Does individualism affect consumers’ preference for PLs vs. NBs? Do consumers with high levels of individualism show a lower inclination to purchase PLs? Does individualism affect consumers’ perceived importance of brand image dimensions? Do consumers with high levels of individualism attribute greater importance to brand image dimensions, such as packaging design, country of origin, and PL reputation? Are there cross-cultural differences within a specific country, namely, Israel? |
Glynn and Chen (2009) [ ] | 1. Factors: Purchase mistake (PM) Quality variability (QV) Search vs. experience (S vs. E) Price consciousness (PC) Price–quality perception (PQP) Brand loyalty (BL) PL purchase 2. Average scores by PL product category (factors as above): canned fruit, toilet tissue, fresh milk, cheese, fruit juice, potato chips, biscuits, bread breakfast cereal, pet food | Are consumers more likely to buy PLs where they perceive lower consequences of making a mistake in brand selection (–)/variability in quality between brands (–)? Is it possible to accurately assess product quality of important attributes and benefits based on written descriptions only (–)/are consumers more price-conscious (+)? Consumers are less likely to buy Ps if they have an elevated perception of quality relative to price (+) Brand loyalty reduces consumers’ propensity to buy PLs (+) Consumers’ propensity to buy PL products is determined by gender/age (–) Consumers are less likely to buy PLs if they have more household income/formal education qualifications (+) Large households are more likely to buy PLs (+) Purchase of PLs is moderated by differences in PL category share (–) |
Anchor and Kourilová (2009) [ ] | Study 1: Importance of price Importance of quality Importance of confidence Study 2: perception of the Tesco PL category: , Purchase frequency (PF) Perceived quality (PQ) Perceived price (PP) Confidence (C) | In both countries, the Tesco brands have the same PF (–) In both countries, the PQ of the Tesco brands is of the same level (–) In both countries, the PP of the Tesco brands is of the same level (–) In both countries, the C in the Tesco brands is of the same level (–) In both countries, a significant relationship between gender and perception of measured characteristics exists (–) In both countries, a significant relationship between age and perception of measured characteristics exists (–) In both countries, a significant relationship between income and perception of measured characteristics exists (+) In both countries, a significant relationship between purchase frequency and perception of measured characteristics exists (0) |
Kara et al. (2009) [ ] | Perceptions about manufacturers vs. PLs: budget conscious, value conscious, price conscious, discount conscious Consumer’s previous experience, sensory perception Content perception, PL purchase/use | Consumers’ consciousness (+) → PL perceptions (+) Consumers’ previous experience (+) → PL perceptions (+) Consumers’ consciousness (+) → consumers’ previous experience (+) BS perceptions (+) → PL purchase/use (+) |
Albayrak and Aslan (2009) [ ] | Brand preferences: NB food product preference analysis of NB food consumers PL food product preference analysis of NB food consumers PL food product preference analysis of PL food product consumers NB food product preference analysis of PL food product consumers | - |
Cheng et al. (2007) [ ] | 2 categories of products for NB: international PL (IPL), and local PL (LPL) Perceived quality (PQ) Brand leadership (BL) Price perception (PP) Brand personality (BP) | The quality of NB products is perceived to be superior to that of IPL products, while the quality of IPL products is perceived to be superior to that of LPL products (+) Consumers perceive the price of NB products to be being significantly higher than IPL products, and the price of IPL products to be higher than LPL products (+) Consumers count on NBs for better brand leadership, on IPLs for worse brand leadership, and LPLs for nonbrand leadership (+) Consumers perceive the brand personality of NBs to be significantly superior to IPLs, and the brand personality of IPLs to be superior to local PLs (+) Product categories moderate the interaction of PQ (–)/PP (–)/BL (–)/BP (+) across NBs, IPLs, and LPLs |
Mieres et al. (2006) [ ] | A. Difference in perceived risk between PLs and NBs Perceived quality of PLs/NBs (PQ) Reliance on the extrinsic attributes of a product (REA) Specific self-confidence (SSC) Familiarity with PLs (FPL) Experience with product category (EPC) B. Perceived risk (PR): Functional risk (FR) Financial risk (FiR) Social risk (SR) Physical risk (PR) Psychological risk (PsR) Time risk (TR) | PO → Difference in PR (–) REA → Difference in PR (+) REA → PQ (+) SSC → Difference in PR (–) SSC → REA (–) FPL → REA (–) FPL → PQ (+) EPC → Difference in PR (–) EPC → SSC (+) EPC → REA (–) EPC → FPL (+) EPC → PQ (+) |
Akbay and Jones (2005) [ ] | A. Lower-income consumers 1. PB share/NB share 2. PB price/NB price B. Higher-income consumers 1. PB share/NB share 2. PB price/NB price C. Demand equations of 9 food categories for PLs and NBs in lower- and higher-income areas D. Demand elasticities for 9 food product categories for PLs and NBs in lower- and higher-income areas: Expenditure elasticity Price elasticity Promotion elasticity | - |
Kurtulus et al. (2005) [ ] | Price consciousness (PC) Financial constraints (FC) Quality consciousness (QC) Store loyalty (SL) Shopping mavenism (SM) Time limitation (TL) Brand loyalty (BL) Tendency to purchase PBs (T) | T → PC (+) T → FC (–) T → QC (–) T → SL (+) T → SM (+) T → TL (–) T → BL (–) |
Semeijn et al. (2004) [ ] | 1. Store image (layout, merchandise, service) (SI) 2. Consumer attitude toward PLs (CA) (a) Perceived overall quality of PLs (PQ) (b) Likelihood of purchasing PLs (LP) 3. Risk factors: functional (FuR), psychosocial (PR) and financial (FR) | A positive relationship exists between perceived SI and CA (+) CA is inversely related to FuR associated with the perceived difficulty for the retailer to produce that product (+) The effect of SI on consumer attitude toward PLs is mediated by FuR associated with the perceived difficulty for the retailer to produce that product (+) CA is inversely related to the perceived PR associated with the usage of the product (+) The relationship between SI and CA is mediated by PR of usage (+) CA is inversely related to perceived FR associated with quality variance in the product category (+) The relationship between SI and CA is mediated by the perceived FR of usage (–) |
Veloutsou et al. (2004) [ ] | 1. Change of behavior toward PLs and supermarkets 2. Product attributes: (A) Brands (PLs and NBs) Perceived quality Value for money Appealing packaging Perceived taste (B) Brands (for PLs and NBs) Importance of price Quality Packaging Advertising Fulfillment of expectations (C) Country: factors same as in A point (D) Country: factors same as in B point 3. In-depth interviews with 5 consumers in each country | Consumers give similar emphasis to choice criteria when purchasing PL and NB products (–) Consumers evaluate PLs and NBs similarly (–) Greek (G) and Scottish (S) consumers have similar degree of familiarity with buying PLs (–) G and S consumers give similar emphasis (mental weighting) to choice criteria when purchasing PLs (–) G and S consumers evaluate the PLs (quality, value for money, appealing packaging, and taste) similarly (–) G and S consumers have similar readiness to purchase PLs (–) G and S consumers have similar readiness to change their behavior toward PLs (–) Habits toward the product category are influential on the willingness to buy PLs (+) PL choice criteria are influential on the willingness to buy PLs (+) Consumers’ demographic characteristics are influential on the willingness to buy PLs (+) Satisfaction with PLs from a certain supermarket will increase the consumers’ loyalty to that supermarket (+) |
Miquel et al. (2002) [ ] | PL product purchase: (1) Knowledge of the category (2) Perception of differences (3) Willingness to buy PL products | Greater knowledge of the category leads to prefer NBs (+) The greater the belief that differences exist between the different alternatives, the less likely the possibility of the individual buying PLs (–) |
Vaidyanathan and Aggarwal (2000) [ ] | Product attitude (PA) Quality perceptions (QP) Value perceptions (VP) Value consciousness (VC) | PA toward unfamiliar PL products with a familiar NB ingredient will be more favorable than that toward unfamiliar PL products with an unbranded ingredient (+) QP of unfamiliar PL products with a familiar NB ingredient will be more favorable than that of unfamiliar PL products with an unbranded ingredient (+) PA toward a familiar NB name (ingredient) will not be unfavorably affected by an association with an unfamiliar PL product (+) QP of a familiar NB name (ingredient) will not be unfavorably affected by an association with an unfamiliar PL product (+) |
General findings and managerial implications for the studies included in the systematic survey.
Author, Year | Key Findings | Practical Implications |
---|---|---|
Temmeman et al. (2021) [ ] | ||
Kadekova et al. (2020) [ ] | ||
Czeczotko et al. (2020) [ ] | ||
Anitha and Krishnan [ ] | ||
Košičiarová et al. (2020) [ ] | ||
Singh and Singhal (2020) [ ] | ||
Košičiarová et al. (2020) [ ] | ||
Prediger et al. (2019) [ ] | ||
Gómez-Suárez et al. (2019) [ ] | ||
Salazar-Ordóñez et al. (2018) [ ] | ||
Liu et al. (2018) [ ] | ||
Valaskova et al. (2018) [ ] | ||
Vázquez-Casielles and Cachero-Martinez (2018) [ ] | ||
Garczarek-Bąk (2018) [ ] | ||
Meliana (2018) [ ] | ||
Modica et al. (2018) [ ] | ||
Schouteten et al. (2017) [ ] | ||
Jara et al. (2017) [ ] | ||
Gomez-Suarez et al. (2016) [ ] | ||
Marques dos Santos et al. (2016) [ ] | ||
Thanasuta (2015) [ ] | ||
Schnittka (2015) [ ] | ||
Monnot et al. (2015) [ ] | ||
Diallo et al. (2015) [ ] | ||
Zielke and Komor (2015) [ ] | ||
Fall-Diallo et al. (2015) [ ] | ||
Delgado-Ballester et al. (2014) [ ] | ||
Bauer et al. (2013) [ ] | ||
Fall Diallo et al. (2013) [ ] | ||
Herstein et al. (2012) [ ] | ||
Wyma et al. (2012) [ ] | ||
Tifferet and Herstein (2010) [ ] | ||
Glynn and Chen (2009) [ ] | ||
Anchor and Kourilová (2009) [ ] | ||
Kara et al. (2009) [ ] | ||
Albayrak and Aslan (2009) [ ] | ||
Cheng et al. (2007) [ ] | ||
Mieres et al. (2006) [ ] | ||
Akbay and Jones (2005) [ ] | ||
Kurtulus et al. (2005) [ ] | ||
Semeijn et al. (2004) [ ] | ||
Veloutsou et al. (2004) [ ] | ||
Miquel et al. (2002) [ ] | ||
Vaidyanthan and Aggarwal (2000) [ ] |
In all tables, studies are presented according to the year of their publication, starting with the most recent one (2021) and ending with the oldest (2000). To make the text analysis clearer in the tables, the retailer brand names are standardized by using the term “PL.” It also replaces other terms, such as store brand, private brand, private label brand, and own brand.
Table 2 presents general information pertaining to the studies included in the SLR.
The SLR included studies published between 2000 and 2021 as follows: seven studies from the period 2020–2021 [ 43 , 54 , 55 , 56 , 57 , 58 , 59 ], nine studies from the period 2018–2019 [ 16 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 ], 10 studies from the period 2015–2017 [ 38 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 ], six studies from the period 2010–2014 [ 29 , 77 , 78 , 79 , 80 , 81 ], and 12 studies from the period 2000–2009 [ 82 , 83 , 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 , 92 , 93 ]. The most frequently used research method was questionnaire survey (20 studies). The research sample consisted of between 200 [ 57 , 83 ] and 1272 respondents [ 61 ], but the average sample size was about 500. Other research methods used in the studies were experiments (six), in-depth interviews (six), blind sensory tests (four), scan panels (three), eye tracking (one), electroencephalography (two), and others (two). The studies included in the SLR had been conducted in cities located in Europe (31), America (eight), and Asia (six), as well as in Australia, New Zealand, and South Africa. The product categories mostly analyzed in terms of consumer behavior were dairy [ 29 , 43 , 54 , 60 , 63 , 79 , 80 , 81 , 82 , 88 , 93 ], cereals [ 16 , 43 , 54 , 55 , 56 , 58 , 68 , 69 , 73 , 76 , 80 , 85 , 88 , 92 ], sweets [ 16 , 43 , 54 , 60 , 63 , 79 , 80 , 81 , 82 , 85 , 88 , 90 , 91 ], frozen food [ 16 , 43 , 79 , 80 , 81 , 88 ], processed food [ 54 , 59 , 72 , 80 , 90 ], and cosmetics [ 16 , 38 , 60 , 70 , 74 , 75 , 76 , 79 , 81 , 87 , 90 , 91 ]. For example, in 2020, Slovak researchers conducted a series of studies on yogurts, which included a sensory comparison between PL products and products of NBs that are leading in the Slovak market [ 55 , 56 , 58 ]. Studies on nonfood product categories mainly chose cosmetics, especially shampoo, for the analysis of consumer behavior toward PL products [ 70 , 78 , 81 , 87 , 91 ].
Table 3 presents the research specifications of the studies included in the SLR.
Table 4 presents the findings and conclusions from studies related to consumer behavior toward PL products, as well as managerial implications. The findings/conclusions mainly relate to how the studied factors, such as perceptions of quality, price, type of packaging, and risk of purchasing PL products, influence consumer behavior toward the PL products of retail chains. Practical recommendations are included in almost all the analyzed studies. Only one study did not provide any recommendations.
The main factors analyzed in the included studies were consumers’ perception of quality, price, store image, and the risk of PL products, and their attitude toward PL products in different forms. The other factors assessed were the risk of buying PL products in comparison to the products of NBs, the influence of the country of origin or packaging, and the effect of brand image and store chain on product choices. The results of the included studies were also supported by our studies conducted in Poland, the UK, and Spain (Canary Islands) on consumer behavior and the perception of PL products of retail chains in these countries. In all the three studies (the first two were carried out among Polish and British consumers [ 43 ], and the third one in Tenerife [ 44 ]), dairy products were rated highest in terms of the frequency of purchase of a given category of PL products.
Only four of the analyzed studies included health factors as determinants in the choice of purchasing PL products. The first study was performed in 2021, and proposes a new food labeling system with letter grades indicating the level of healthiness and recommended frequency of consumption of a product. Products were identified as healthier based on their Nutri-Score, and the healthiness of products, ranked across five categories, was evaluated differently. In addition, the study analyzed the impact of the Nutri-Score system on the perceived quality, perceived healthiness, and purchase intentions for NB and PL products. It also recommends that the Nutri-Score system can be introduced as the European nutrition label, and that it can be an effective option to manage the growing obesity epidemic [ 54 ].
In a second study from 2013, conducted in Germany, the researchers analyzed, through in-depth interviews, the four main motives for buying organic food: healthiness, hedonism, environmental friendliness, and food safety. The authors assumed that consumers have a belief that organic food has a higher nutritional value than nonorganic food, and has a higher degree of perceived healthiness compared to food from a brand without an organic label. The results confirmed that consumers perceived certified organic food to be significantly more healthy, hedonic, environmentally friendly, and safe compared to conventional or nonorganic food. This was also true in the case of organic PL products, which were ranked similarly to global organic brands by consumers. This indicates that consumers have positive perception toward organic PL products in terms of health aspects [ 29 ].
The third study analyzed the perceptions of manufacturer brands and PLs based on various choice factors. One of these factors was health, and respondents responded that PL products were comparable to the products of manufacturer brands, with a slight edge for manufacturer products, but this shows that consumers rate each brand equally, regardless of who owns it. This result could motivate retailers to further develop PL products, also taking into account the health aspects [ 84 ].
In the last study analyzed, which was conducted in 2006, the authors focused on the perceptions of purchase risk, comparing NBs and PLs for two nonfood products: shampoo and kitchen paper. The health aspects were discussed in the context of psychological risk during shopping, which was assessed by evaluating the level of fear caused by potential health harms. The results obtained were very similar, and supported the findings of other discussed studies that investigate the influence of health aspects on human health. The data showed that the greater the familiarity of consumers with PLs, the smaller the difference between PLs and NBs in terms of perceived risk, regardless of product category [ 87 ].
The studies included in the SLR used a variety of research methods. Quantitative research mainly used a survey questionnaire. Some studies conducted blind tests, in which consumers performed a sensory analysis of specific yogurt brands [ 55 , 56 , 58 , 68 ]. Most of the analyzed articles included research hypotheses (33), and a few included research questions [ 60 , 81 , 90 ], whereas some were devoid of both these research tools [ 43 , 54 , 68 , 71 , 74 , 80 , 85 , 88 ]. Only those research hypotheses that exclusively concerned PL products were taken for consideration in the analysis.
We performed an SLR analysis on 44 studies related to consumer behavior toward PL products. The studies evaluated various factors determining the purchase of PL products, including perceived quality [ 54 , 55 , 56 , 59 , 65 , 69 , 72 , 73 , 82 , 83 , 85 , 88 , 89 , 91 , 92 , 93 ], packaging [ 55 , 56 , 69 , 73 , 86 , 93 ], price [ 29 , 38 , 59 , 63 , 64 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 77 , 78 , 82 , 83 , 86 , 88 , 89 , 90 , 91 , 92 ], health aspects [ 29 , 54 , 84 , 87 ], and brand loyalty [ 58 , 59 , 76 , 82 , 89 ]. Some of them also analyzed the frequency of the purchase of PL products [ 43 , 56 , 58 , 64 , 83 , 91 ].
The first research question concerned the product categories that were analyzed in the included studies. We found that the most analyzed food categories were dairy products, cereals, sweets, and frozen and processed food. These results reflect the value shares of product categories sold under PLs. For example, in western European countries, frozen foods (43%), chilled and fresh products (39%), and soft drinks (18.3%) have the highest value shares. As chilled and fresh foods, dairy products are frequently purchased by European consumers, and their value share ranges from as high as 55.4% in the UK to 42.1% in Spain and from 40.1% in the Netherlands to 21.8% in Italy [ 94 ]. In comparison, in the US, bakery products (36.6%), dairy products (33.1%), and delicatessen products (23.6%) had the highest share of sales in 2019 [ 95 ]. In Slovakia, dairy (40%) and durables (35%) were the most frequently purchased food categories, but the dairy category (46.6%) was dominant among products with the lowest income [ 16 ], and the sale shares of other categories were higher. Dairy products of PLs are therefore valued by consumers and selected by researchers for studies.
The available studies in the literature on PLs refer not only to consumer research. For example, studies conducted in Poland have analyzed PLs as a source of competitive advantage for international retail chains. It was found that organic PL products are competitive in terms of price, assortment range, variety, retailer image, sustainability and process uniqueness, and product-related attributes. The sales of organic PL products with offers allow consumers to buy organic food at more affordable prices and adopt a nutritious and sustainable diet with a low environmental impact [ 96 ].
The second research question concerned the non-health factors considered when consumers choose PL products. Our review shows that price is the main factor determining consumers’ choice of PL products. The significant influence of an attractive, lower price is confirmed by previous studies and reports on consumer behavior toward PL products [ 94 , 97 , 98 , 99 ]. The IRI report published in 2018 indicated that the average price of PL products in Europe in 2017 was about 70% of the average price of manufacturer brands, and these differences influenced consumers’ perception of PL products as low-cost products [ 100 ]. Such an image influences consumers’ price sensitivity, acting as a tool for building consumer loyalty to a retail chain and PL products [ 31 , 101 ]. This also highlights that PL products in general, as well as premium PL products specifically, are products of good value for money of [ 102 ]. Another frequently studied factor influencing the choice of PL products is the perceived quality of these products in comparison to NB products [ 103 ]. Many studies have analyzed the consumers’ perception of the quality of PL products. In reports and surveys, consumers have indicated a significant improvement in the quality of PL products. Importantly, the quality of PL products directly influences consumer loyalty to PLs and has an indirect impact on store loyalty [ 104 ]. Studies show that the quality of PL products is almost the same as that of NB products, which makes PL products more competitive. However, the retailers are required to maintain high quality at an attractive price in order to encourage consumers to purchase PL products [ 45 ]. This is also supported by the fact that consumers’ perception of higher quality increases their willingness to purchase PL products [ 105 ]. Our research in Poland and the UK showed that the high quality of products available under PLs is a more important factor for determining the purchase decision among UK consumers compared to Polish consumers [ 43 ]. At the same time, in the UK, the development of PLs is closer to sustainable and premium PLs, and quality improvement has become a key factor influencing choice [ 39 ]. Additionally, as indicated by a study in Germany, quality improvement has a stronger effect on the growth of PL market share compared to the case of NBs [ 106 ].
Although health aspects play an increasingly important role in consumer behavior toward PL products, they are not considered to be the main factor determining the choice of PL products. The inclusion of health considerations in consumer behavior toward PL products represents a gap in knowledge or research identified in this literature review. In answering the third research question, only four articles included in our SLR focused on health aspects. At the same time, the literature indicates the growing consumer awareness of food and its impact on well-being and health [ 1 , 2 , 4 ]. For example, the available research refers to different product categories, such as bread, fruit snacks [ 107 ], ready-to-eat cereals, and organic and functional foods [ 25 ], as well as food in general [ 108 ]. Research focusing on the consumer side addresses issues such as their willingness to eat bread with health benefits [ 109 ], the use of nutrition and health information on labels to increase the demand for bakery products [ 110 ], and the pleasure of eating and healthy food behaviors [ 111 ]. One study analyzed the attitudes of consumers toward healthy foods, with particular reference to organic and functional products that may contribute to better strategic and tactical marketing decisions, and which may also be used by government agencies in designing public health programs [ 25 ]. In one study conducted in the UK, US, and Germany, the impact of product attributes regarding the nutritional and health values of products on consumer choices was analyzed. European consumers were found to be more health-conscious in terms of lifestyle and diet than American consumers, and more focused on the nutritional value of the product, nutrition claims, or food labeling systems, rather than just the price and visual issues of product packaging [ 112 ]. Another study explored the perceptions of health by identifying elderly adults’ beliefs about food and health-related aspects, and showed that, according to senior consumers, health is about personal well-being (life is enjoyable) or about preventing diseases (energy and autonomy) [ 108 ]. In some studies, the authors examined consumer behavior in terms of health aspects, and found that consumers analyzed marketing activities, in particular marketing communication. For example, one of the studies analyzed the impact of two types of advertising content—healthy eating and anti-obesity—on the demand for healthy and unhealthy food products and beverages. The results indicated that among overweight consumers, anti-obesity advertisements were more effective than advertisements promoting healthy eating in reducing the demand for unhealthy items and increasing the demand for healthy products [ 2 ]. Some studies analyzed healthcare consumer behavior in online communities [ 113 ], the effect of product health information on consumer liking and choice [ 24 ], and the impact of health-promoting campaigns on sales [ 114 ].
Research related to the importance of health factors from the producers’ side indicates that there is a need to produce innovative products. These include healthy snacks for immediate consumption which are unique in terms of nutritional value and lack additives [ 107 ]. The need for innovative products is also indicated in studies on organic and functional foods [ 25 ], cereal products [ 115 ], and probiotic foods [ 116 ].
Our literature review fills the gap in the literature on the importance of health factors in consumer choices using the example of PL products. It has not only revealed the individual factors that have been analyzed by studies over time for selected product categories, but also shows the significance of health factors in private labeling and the different ways in which studies have analyzed consumer behavior toward PL products. The attention paid to the health aspects of PL products points to the development of PLs, characterized by a similar level of quality and price compared to producer brands. This increases the competitive rivalry in the market, and at the same time, for retail chains, provides a competitive advantage in strengthening their position in the market. In this way, PLs have reached the fourth generation of their development, which implies that analogous methods of brand creation, brand positioning and, above all, brand quality are evaluated by consumers at the same, or an even higher level.
Our study has some limitations. One of them is related to the fact that we excluded theoretical publications, conference materials, books, dissertations, and the reports of market research agencies, and included only publications in English in the SLR. Further research is needed as PL products continue to evolve into sustainable products. It is important to understand the intentions of retail chains regarding the development of PL products in order to verify if they are in line with the growing consumer awareness of the health aspects of food and nutrition. This will help in developing products under retail chains’ PLs with a high nutritional value based on nutritional recommendations.
Our literature review revealed that many factors influence consumer behavior toward PL products. The main non-health factors are price, quality, packaging, and purchase frequency of PL products, and brand loyalty. The perception of health factors was not among the frequently analyzed selection criteria, which may be due to the evolution of PL products from low-cost products to the products of sustainable brands. This review showed the changing issues related to researchers’ perceptions of the PLs of retail chains. Studies conducted at the beginning of the 21st century mainly analyzed price and its influence on PL product purchases. This was followed by value for money, and research in recent years has been focusing on premium and value-added products among PLs. Consumers have started to perceive these products as high-quality, innovative products, with organic packaging and health benefits. For the further development of PLs, an appropriate approach by retail chain managers is essential. Our review has identified several practical recommendations for designing new products, improving the quality of existing products in terms of raw material quality, packaging, design, and labeling, as well as developing effective marketing strategies, and monitoring consumer behavior and preferences. At the same time, expanding the PL product range with health-oriented, organic, innovative, and targeted products increases the competitive advantage of retail chains. This may allow for the availability of PL products as products sold for health reasons, which will align with the recommendations for healthy eating, proper diet composition, and choosing the right food.
Objectives and measurement items of studies included in the SLR.
Author, Year | Objective | Measurement Items |
---|---|---|
Temmerman, et al. (2021) [ ] | To analyze the impact of the presence of the Nutri-Score and its five categories on consumers’ perceived healthiness perceptions and purchase intention. To analyze the impact of the Nutri-Score on perceived quality, perceived healthiness, and purchase intentions (national brands vs. PLs). | Study 1: 6 items in a 7-point semantic differential (SD) scale: PQ: 1 item; PH: 5 items 9 items on a 7-point Likert scale: PT: 5 items, PI: 4 items Study 2: 4 items on a 7-point SD scale: PH: 1 item; FNS: 3 items 20 items on a 7-point Likert scale: PI: 4 items; NK: 8 items; PhF: 5 items; Db: 3 items |
Kadekova, et al. (2020) [ ] | To analyze the impact of packaging on consumer purchasing decisions in the yoghurt segment. | Questionnaire: 17 items, scale of 1 to 5 Blind test: on a scale of 1 to 5, with 1 being the best rating and 5 the worst The first test: tasting yoghurts without knowing it The second test: already-known packaging |
Czeczotko, et al. (2020) [ ] | To analyze the behavior of British and Polish consumers towards PL products, i.e., the frequency of purchasing PLs, the motives for purchasing products offered under PLs, the consumers’ opinions on PL development, and the length of the period of purchasing PL products. | 36 items: PP: 5 items (single answer) FP: 8 items (5-point Likert scale) OCD: 6 items (5-point Likert scale) FPC: 10 items (5-point scale) SPL: 7 items (% scale) |
Anitha and Krishnan (2020) [ ] | To examine the impulse purchase behavior of PL products in modern retail outlets and the major factors influencing it. | 26 items, 5-point Likert scale |
Košičiarová, et al. (2020) [ ] | To analyze customer preferences in the context of loyalty to the brand of selected food products in the segment of yoghurts. | Questionnaire: 10 items (5-point Likert scale) Blind test: on a scale of 1 to 5, with 1 being the best rating and 5 the worst |
Singh and Singhal (2020) [ ] | To understand consumers’ attitudes and preferences, as well as behavior, focusing on 3 types of PLs. To investigate how the grocery retailers are motivated to market the PLs. | 23 items (5-point Likert scale) |
Košičiarová, et al. (2020) [ ] | To analyze the influence of packaging and marketing communication tools on consumer purchasing decisions in the dairy segment. | Questionnaire: 10 items (5-point Likert scale), Blind test: on a scale of 1 to 5, with 1 being the best and 5 the worst: -1st round–-5 items: color, flavor, fragrance, consistency, and the chocolate ratio -2nd round—7 items: color, flavor, fragrance, consistency, chocolate ratio, the attractiveness of the packaging, and grammage |
Prediger, et al. (2019) [ ] | To explain how store flyer features affect the store traffic and the consumers’ intentions to buy PLs. To analyze the moderating effect of consumers’ perceptions on the retailer’s assortment and the store. | Experiment: Factor 1: brand promoted on the cover page (+1 = NB, or −1 = PL) Factor 2: the page length of the store flyer (+1=20 pages, or −1=8 p.) Factor 3: use of an institutional slogan on the cover page (+1 = presence or −1 = absence) Online survey: 2 items (7-point Likert scale) |
Gómez-Suárez, et al. (2019) [ ] | To find out the extent to which smart shopping and its effect on consumer attitudes towards PLs and national brands is influenced by consumers’ cultural values. | Study 1: 18 items on a 9-point Likert scale—“guiding principle of my life” Study 2: 18 items on a 7-point Likert scale—smart shopper concept, attitude |
Salazar-Ordóñez et al. (2018) [ ] | To examine value for consumers of own-label or PLs. | 7-point Likert scale for 13 items: AE: 4 items; AR: 4 items; PV: 5 items |
Liu et al. (2018) [ ] | To examine consumers’ preference for national brands and PLs and their tendency to include brands as part of their self-concept. | Study 1: 12 items (7-point Likert scale) Study 2: 7-point scale Study 3: 3 items on an SD 7-point scale |
Valaskova et al. (2018) [ ] | To determine factors and variables that significantly influence and shape the consumer’s perception and attitude towards the purchase of PL products. | 6 items: 5-point Likert scale: choice from 10 categories of PLs |
Vázquez- Casielles and Cachero-Martinez (2018) [ ] | To analyze how the introduction of economy and premium PLs affects national brands and standard PLs for different customer segments. | 18 items: 5-point Likert scale |
Garczarek-Bąk (2018) [ ] | To investigate the factors affecting PL products’ possible purchase decisions for different retailers. To analyze how motivation, measured by total fixation duration using EEG asymmetry over the frontal hemisphere of the brain, predicts PL purchase. | PPE: 6-point scale, from 1 (poor) to 6 (high) PI: The Juster scale, from 0 (not at all) to 11 (for sure) QA: 8 items on a 6-point scale |
Meliana (2018) [ ] | To explain how PLs can create an attractive store image and become a shopping preference for consumers. | 8 items (5-point Likert scale) |
Modica et al. (2018) [ ] | To investigate the reactions of the EEG and the autonomic activities, as elicited by the cross-sensory interaction (sight and touch) across several different products. To investigate whether the brand (major brand or PL), familiarity (foreign or local brand), and hedonic value of products (comfort food or daily food) influence the reaction during their interaction with the products. | Each phase with eyes closed for 15 s and rating on the scale from −5 to +5: Experiment 1: VE, VTE; Experiment 2: TE, VE, VTE |
Schouteten et al. (2017) [ ] | To analyze the role of the research setting and brand information on the overall acceptance and sensory and emotional profiling of 5 strawberry yogurts. | 1. Emotional profiling—18 emotional terms: -8 positive terms (contented, friendly, good, happy, interested, pleasant, surprised, satisfied) -8 negative terms (bored, disappointed, discontented, disgust, dissatisfied, frustrated, stressed) -2 neutral terms (calm, steady) 2. Overall liking: 5-point scale (from 1 = slightly to 5 = extremely) 3. Sensory profiling: 12 sensory terms (aftertaste, creamy, dark color, firm, fruity, milky flavor, sour, liquid, homogeneous, smooth, sweet, and thick) |
Jara et al. (2017) [ ] | To analyze PL equity by considering two PL’s positioning strategies: those with high perceived added value (the organic store brands), as opposed to economic brands. | 11 items (5-point Likert scale) Respondents to look at an A3-sized image of a pack of four |
Gomez-Suarez et al. (2016) [ ] | To analyze the relationships between the different phases of the evaluation of PLs (attitude, preference, and purchase intention) in an international context. | 1 item: scale (0 = NB and 1 = SB) 8 items: 7-point Likert scale |
Marques dos Santos et al. (2016) [ ] | To explore brain-based differences in perception of national brands and PLs. To study the influence of price as a differentiating characteristic of national brands and PLs. | 15 explanatory variables (EVs): -12 items: type of brand (national and PLs), exhibited price (real market price and manipulated price), and the stage in the stimulus sequence (product, price, and decision) - 3 items: product, price, and decision for the overseas branded products |
Thanasuta (2015) [ ] | To investigate the relationship between consumer decision-making styles and actual purchases of PL products, using price consciousness, quality consciousness, brand consciousness, value consciousness, and risk perception. | 7-point Likert scale for 23 items: PLs purchase: 1 item; QC: 4 items QC: 4 items; BC: 4 items; VC: 6 items; RP: 4 items |
Schnittka (2015) [ ] | To identify the moderating impact of the store, category, and PL characteristics on consumers’ preferences for premium vs. economy PLs. | 7-point Likert scale: Study 1: 2 items Study 2a: 9 items Study 2b: 9 items |
Monnot et al. (2015) [ ] | To examine how eliminating overpackaging influences consumers’ perception of products sold under generic and mimic PL and purchase intention. | 1. 5-point Likert scale for 17 items: PS: 3 items; PQ: 3 items EC: 3 items; PE: 2 items; PI: 2 items; PEF: 2 items; PC: 2 items 2. OP: 4 items (5-point Likert scale) |
Diallo et al. (2015) [ ] | To investigate the role of image and consumer factors in influencing the choice of PLs between two retail chains (Carrefour and Extra). | 7-point Likert scale for 28 items: SIP: 9 items; SPI: 6 items; VP: 4 items A: 4 items; PI: 4 items; PL choice: 1 item |
Zielke and Komor (2015) [ ] | To extend cross-national research on price role orientations by focusing on culturally similar but economically different countries, relating differences to preferences for PLS and low-price store formats, and analyzing these effects for functional vs. hedonic and low- vs. high-price products. | 1. 7 items (7-point Lichtenstein’s scale) 2. 12 items (7-point Lichtenstein’s scale scale) |
Fall-Diallo et al. (2015) [ ] | To investigate how previous experience with PLs and marketing policy variables affect PL purchasing behavior in two specific periods (expansion and crisis). | Variables to each product and period: price, feature, display, loyalty (0 (no) or 1 (yes)) |
Delgado-Ballester et al. (2014) [ ] | To develop and test a conceptual model of the moderating effect of customers’ value consciousness on the relationship of store image with four dimensions of the perceived risk associated with the purchase of a PL over a manufacture brand, and the direct effect of those variables on the perceived unfairness of manufacture brand prices. | For each factor, a 10-point scale: SI: 7 items; FR: 3 items; FiR: 3 items; SR: 4 items; PR: 3 items; PU: 3 items; VC: 5 items |
Bauer et al. (2013) [ ] | To analyze if an organic labeled product generates positive consumer brand perceptions and, thus, influences consumers’ food buying intentions. To investigate how various types of brands’ benefit differently from organic labeling in the retail market. | Study 1: 12 German consumers using the laddering technique Study 2: 7-point Likert scale for 12 items: PH: 4 items; PHe: 4 items; EF: 4 items FS: 4 items Study 3: 7-point Likert scale for 2 items: PI: 1 item; WP: 1 item |
Fall Diallo et al. (2013) [ ] | To investigate how consumer and image factors, as well as store familiarity, influence PL purchase behavior. | 7-point Likert scale for 24 items: SIP: 4 items; SB PI: 4 items; VC: 4 items; A: 4 items; PIn: 4 items; PL choice: 4 items |
Herstein et al. (2012) [ ] | To investigate the association between 3 personality traits (individualism, materialism, and the “need for cognition”) and 2 characteristics of shoppers who buy PLs, and the importance they attach to the “brand dimensions”. | 5-point Likert scale: Study 1: 10 items (5 food and 5 non-food products) Study 2: 2 items Study 3: 33 items: VI: 4 items; HI: 4 items; M: 7 items; NC: 18 items |
Wyma et al. (2012) [ ] | To explore and describe consumers’ preferences for different PLs and national brands in a South African context. To determine and describe a possible relationship between consumers’ psychographic and demographic characteristics and their preferences for PLs/national brands. | 25 items, choose the brand which fits one’s preference 5-point Likert scale 8 items + living standard measure |
Tifferet and Herstein (2010) [ ] | To analyze whether individualism affects consumers’ preference for PLs vs. national brands; assess the effect of individualism on the perceived importance of brand image dimensions (country of origin, packaging design, and manufacturer reputation); and assess the degree of cross-cultural differences in individualism. | 5-point Likert scale: Study 1: 10 items Study 2: 30 items Study 3: 8 items |
Glynn and Chen (2009) [ ] | To examine the differences in the level category of risk perception and brand loyalty effects on consumer proneness towards buying PLs. | 5-point Likert scale for 16 items: PM: 2 items; QV: 3 items; S vs. E: 2 items PC: 3 items; PQP: 3 items; BL: 3 items PL purchase: buy NBs (1) or PLs (5) |
Anchor and Kourilová (2009) [ ] | To show how relatively little is known about the consumer perceptions of PLs in the newly emerging markets of Central and Eastern Europe. To investigate various aspects of consumer perceptions of Tesco PLs in the Czech Republic. | 3 items: 7-point semantic differential (SD) scale 2 brands x 4 items: 7-point SD scale |
Kara et al. (2009) [ ] | To examine consumers’ behavior with regard to PL purchasing by using a conceptual model, which incorporates factors such as brand, price and risk perceptions, involvement, experience, and familiarity, as well as psychographic and demographic factors. | 27 items (5-point Likert scale) |
Albayrak and Aslan (2009) [ ] | To identify the attitudes toward PL products and demographic features of PL consumers and of manufacturer brand consumers. To determine whether any differences exist between the two consumer groups. | 5-point Likert scale: 4 × 16 items |
Cheng et al. (2007) [ ] | To investigate the differences in the consumer perceptions of product quality, price, leadership, and personality brand among national brands, international and local PLs. | 2 products x 3 types of brand x 4 items for 1 product 7-point Likert scale: PQ: 3 items BL: 3 items PP: 1 item BP: 3 items |
Mieres et al. (2006) [ ] | To analyze the effects that a set of variables related to purchasing behavior have on the difference in perceived risk between PLs and national brands. | Each item for kitchen rolls and shampoo: A: 7-point Likert scale: PQ: 4 items; REA: 7 items; SSC: 5 items FSB: 4 items; EPC: 4 items B: 7-point Likert scale: FR: 4 items; FiR: 3 items; SR: 4 items PR: 4 items; PsR: 4 items; TR: 4 items |
Akbay and Jones (2005) [ ] | To determine whether purchase patterns are differ for two income groups, and whether these differences are consistent with economic theory. To analyze the relationship between income and shopping behavior. | A: 1. 9 items: % scales 2. 9 items: cents per ounce B: 1. 9 items: % scales 2. 9 items: cents per ounce C: 1. 18 items: the LA/AIDS model 2. 18 items: the LA/AIDS model D: 1. 8 items: the LA/AIDS model 2. 18 items: the LA/AIDS model 3. 18 items: the LA/AIDS model |
Kurtulus et al. (2005) [ ] | To construct a model to determine the effect of the psychographics of consumers on their tendency to purchase PLs. To analyze the role of consumer attitudes and behaviors in consumer preferences for PLs. | 5-point Likert scale: PC: 4 items; FC: 4 items QC: 4 items; SL: 4 items SM: 3 items; TL: 3 items BL: 3 items; T: 3 items |
Semeijn et al. (2004) [ ] | To investigate how store image and the perceived risk associated with product attributes affect the consumer evaluation of PLs. To determine the structural relationships between store image, the perceived risk associated with product attributes, and consumer attitude towards PLs. | Study 1: 11 items on a 7-point Likert scale Study 2: 7-point scale Study 3: 3 stores x 4 products 12 items: 7-point Likert scale |
Veloutsou et al. (2004) [ ] | To compare the importance of choice criteria when purchasing PLs and national brands, and the perceived characteristics of the products under PLs and manufacturer brands in two regions at different stages of PL development. To rate the change in the behavior towards PLs and supermarkets and product attributes (perceived quality, value for money, appealing packaging, perceived taste, and the importance of these values for PLs and national brands). | Study 1: 4 items on a 5-point Likert scale Study 2: average of the 5 categories of products; 5-point semantic differential scales (SEM) A: 4 items B: 5 items C: 5 items Study 3: 5 items on a 5-point SEM |
Miquel et al. (2002) [ ] | To model the decision process involved in a purchase when choosing PLs over national brands, and investigate why the same consumer may choose a store brand in one product category and not in another. | (1) 2 items: 5-point Likert scale (2) 2 items: 5-point Likert scale (3) 2 items: do not buy SB (0)/buy SB (1) |
Vaidyanathan and Aggarwal (2000) [ ] | To examine how a national brand’s extension to a PL product (through ingredient branding) affects the evaluation of national brands and PLs. | PA: 10 items on a 7-point SEM scale QP: 5 items on a 7-point quality scale VP: 6 items on a 7-point scale VC: 7 items on a 7-point value scale |
Study conception and design: M.C. and H.G.-W.; methodology: M.C. and H.G.-W.; writing—original and draft preparation: M.C., H.G.-W. and R.Z.; writing—review and editing: M.C. and H.G.-W. All authors have read and agreed to the published version of the manuscript.
The Article Processing Charge was financed by the Polish Ministry of Science and Higher Education within funds of Institute of Human Nutrition, Warsaw University of Life Sciences (WULS) for scientific research.
Not applicable.
Data availability statement, conflicts of interest.
The authors declare no conflict of interest.
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