Research Article: 2021 Vol: 25 Issue: 3
Bidyut Jyoti Gogoi, Indian Institute of Management, Shillong
Firm’s need loyal customers to sustain in tough competition and uncertainty. Customer satisfaction plays a big role in creating a pool of loyal customers. The loyal customers are needed also to voice out for the company products and services. Customer loyalty also helps in creation of positive brand image. Brand reputation helps the firm to stand out even during tough times. The Covid19 pandemic has brought in several changes in the way consumer behaves towards a brand. The brand strategies have also undergone changes to meet the consumer requirements.
Covid19, Pandemic, Store Service, Price, Perceived Quality, Local Presence, Customer Satisfaction, Loyalty.
India may experience a third wave of the Covid19 pandemic if measures are not taken to stop the spread of the virus (Mordani, Sneha, 2021). As per the findings of medical research, the new mutated coronavirus may be airborne (India.com, 2021). This is where even the social distancing of 2 meters will not be sufficient. Staying indoors and avoiding crowded placed will help. Already the second wave is arriving at a peak and there are several restrictions imposed including lockdown starting May 2021 in several parts of the country. Restrictions are imposed on movement of vehicles and people. Consumption of goods and services undergo changes and are dependent on their availability.
It has been seen in the pandemic that there is a relationship between the consumption patterns and undesirable environmental conditions. This is quite evident from the consumption patterns seen during the Covid19 pandemic since December 2019. Consumers are becoming more conscious in choosing their products. Brands do not matter too much but quality and safety matters. Consumers are more concerned to keep themselves and their family healthy. This is the reason why there is a change in consumption patterns which is seen during the pandemic. People cannot afford to fall sick as there are restrictions to go to the hospital unlike good times. Brands which are well known and popular are selling well as consumers do not want to try unknown brands. Even local brands are doing well due to the quality associated.
It is seen that behavioral outcomes like patronage and loyalty are a result of the attitudinal responses of the consumer (Shi et al. 2014). Attitude of a consumer develops due to cognition or learnings from the usage of products or service. Good experience during the learning stage usually helps in development of positive attitudes. Positive emotions result in customer satisfaction, delight and emotional brand attachment (Torres & Kline, 2006; Torres, et al. 2014). Satisfaction is an overall assessment of the value a customer gets from the products or services consumed. Hence, customer satisfaction is a measure of the overall experience of a customer (Jones & Suh, 2000; Johnson & Fornell, 1991).
The researcher in the paper wants to find out the influence of instore service, pricing, perceived quality and local presence on customer satisfaction and loyalty.
Store Service
Instore experience through the various touchpoints shape the customer experience (Lemon and Verhoef, 2016). The digital technology has given rise to a new sort of behavior generation which has to be studied well to service the customer better (Bertacchini et al., 2017; Cano et al., 2017; Dacko, 2017; Gelderman et al., 2011; Immonen et al., 2018; Pantano & Gandini, 2017; Willems et al., 2017). The pandemic has seen the transition from the offline mode to online mode. Digital technologies are helping to survive the crisis. There is a transition seen from offline to online/mobile to omnichannel mode settings (Dacko, 2017; Demirkan & Spohrer, 2014; Hilken et al., 2017; Inman & Nikolova, 2017; Papagiannidis et al., 2017; Rezaei & Valaei, 2017). Different retailers have different digital strategies. Some offer pure digital while some offer a hybrid of both digital and online (Huang & Rust, 2018). The basic idea is the same for all, to provide a seamless customer experience.
The instore frontline employees have a crucial role in enhancing shopping experience and influence purchase behavior (Lim et al., 2017). Many retailers have resorted to digital displays instore to enhance the store experience (Pantano, 2016). The instore digital displays help customers in finding, comparing, locating and buying goods which enhances their shopping experience (Van Kerrebroeck et al., 2017). Instore service has a positive influence on the satisfaction of consumers (Brown, 2001; Gogoi & Dutta, 2020; Huddleston et al., 2009). Upscale retailer’s customers desire more customer service (Huddleston et al., 2009). Hence specialty retailers need to provide more intensive store service for achieving customer satisfaction (Grewal et al., 2003) and loyalty. Based on the discussion the following hypothesis is proposed.
H1: Store Service has a positive influence on customer satisfaction.
H2: Store Service has a positive influence on loyalty.
Pricing
Price is an indicator of product quality (Chen et al., 2015; Stiglitz, 1987). Pricing package has a significant effect on customer satisfaction (Campo & Yagüe, 2008). The positive image created by quality might counterbalanced by the negative pricing effect (Chen et al., 2015). Fairness is a judgement of the means of achievement to reach an outcome (Bolton et al., 2003). The fairness of judgement of price is based on certain norm or standard (Estalami, et al., 2007). Price is considered an important antecedent of customer satisfaction as consumer thinks basically of price paid post purchase (Anderson & Sullivan, 1993; Anderson et al., 1994; Cronin et al., 2000; Fornell, 1992; Zeithaml, 1988).
The extent of influence of price over satisfaction is dependent on the service quality, product quality, price, situation and personal factors (Zeithaml & Bitner, 1996). Price sensitivity increases with heightened unfair practices adopted by firms (Xia et al., 2004) which also affects the satisfaction level (Oliver & Swan, 1989) and lower purchase intentions (Campbell, 1999a, 1999b). The pandemic has taught several lessons to business. Consumers are becoming more price sensitive and at the same time cautious about the product quality. Value added services like home delivery and customized orders matter a lot. It is seen that price has a positive influence on consumer perception and thereby influences the purchase decision (Gogoi, 2020). It is also seen that mediumly processed products/services attains the maximum customer satisfaction (Campo & Yagüe, 2009). Perceived price has a significant influence on the service quality (Bojanic, 1996; Parasuraman et al, 1991) and hence also influences customer satisfaction and loyalty. Based on the discussion the following hypothesis is proposed.
H3: Price has a positive influence on customer satisfaction.
H4: Price has a positive influence on loyalty.
Perceived Quality
Quality is generally taken as the overall judgement of the consumer on the product or service (Steenkamp,1990; Zeithaml, 1988). There exists relationship between quality and customer satisfaction (Reimann, et al., 2008). Perceived quality is the differentiation the product or service creates to mark its superiority (Zeithaml, 1988). Perceived quality influences the affective behavior of the consumer (Anselmsson et al., 2007). Perceived quality is the overall assessment of the product performance rather than perceptions on any product attribute (Holbrook & Corfman, 1985). Employee services influence the consumer perceive quality which helps in getting satisfied consumers (Pan & Zinkhan, 2006). Perceived quality depends on the way the employees are oriented towards service delivery and has a large influence on the customer satisfaction (Baker et al., 2002; Jang & Namkung, 2009). Perceived product quality induces customer satisfaction (Gomez et al., 2004; Huddleston et al.,2009; Zhao and Huddleston, 2012). If the perceived quality of the store is high there is customer satisfaction (Zhao and Huddleston, 2012) which leads to loyalty. The Covid19 pandemic has changed the consumer behavior and their expectations. Consumers now aspire for more perceived quality to endorse a product. For a customer now, their personal health and their family health is the first priority. They will not compromise with quality for any product they purchase. Based on the discussion the following hypothesis is proposed.
H5: Perceived quality has a positive influence on customer satisfaction
H6: Perceived quality has a positive influence on loyalty
Local Presence
Research shows that physical proximity attracts consumers and increases impulse buying (Peck, & Childers, 2006).
The lockdowns during the covid19 pandemic posed a lot of problems in getting the regular products for consumption. During the lockdowns the local brands played a big role in supporting the local people. It is also seen that local retailers’ sense of social responsibility towards their local community is very high (Razalan, et al., 2017). Because of the local presence they were easily available for consumption while most of the brands were out of reach due to movement restriction and logistics issues. The support from local brands during tough times led to popularity of local brands during the pandemic and consumers too voiced for the local brands. Moreover, with consumers starting to use products available locally they could also see the genuine quality of the products which can be compared with the other branded products. Thus, the crisis has led consumers to voice out for the local brands which could cater to their requirements. Based on the discussion the following hypothesis is proposed.
H7: local presence of brands has a positive influence on customer satisfaction.
H8: local presence of brands has a positive influence on loyalty.
Customer Satisfaction
The role of satisfaction has been extensive researched in retailing, e-commerce and mobile commerce (Demirci Orel and Kara, 2014; Vesel and Zabkar, 2009). The strength of relationship between satisfaction and loyalty varies across different nations (Aksoy et al., 2013). Satisfaction is a cognitive behavior and a result of post purchase evaluation (Bearden & Teel, 1983; Churchill G & Suprenant, 1982; Oliver,1979, 1980; Oliver & DeSarbo, 1988). Customer satisfaction is also viewed as a judgement based on cumulative accumulation on perceived services and not just transaction specific phenomenon (Anderson, E.W, et al., 1994; Bayus, 1992; Wilton & Nicosia,1986). Satisfaction is judgement of the feeling post the evaluation of the services (Oliver, 1979). Satisfaction is the influence of confirmation which arise out of expectations and perceived performance (Bhattacherjee, 2001; Swan and Oliver, 1989). Satisfaction helps in understanding loyalty (Anaza and Zhao, 2013; Calder et al., 2013; Shankar et al.,2003). Customer satisfaction is cumulative satisfaction from products/services and leads to loyalty (J. C. Anderson & Narus,1990; Ganesan, 1994). Customer satisfaction is an antecedent of loyalty (Bitner,1990; Bloemer, 2002; Chen and Quester, 2006). Customer satisfaction has a positive influence on loyalty (Gogoi, B. J, 2021). Customer Satisfaction is found to be linked to loyalty of service organizations (Bowen and Chen, 2015; Lee, 2013). Based on the discussion the following hypothesis is proposed.
H9: Customer Satisfaction has a positive influence on Loyalty.
Based on the literature review a conceptual model is developed as depicted in Figure 1.
A primary survey was carried out to collect data from customers. The research was carried out using a structured questionnaire. Out of a total of 500 questionnaires distributed there were only 209 completely filled questionnaires. The sample size of the survey is 209. The respondents were general shoppers. 65.5% of the respondents were male and 34.4% of the respondents were female. The respondents are in the age group 21 years to 30 years. The data was analyzed using SmartPLS 3 (Ringle, et al. 2015).
Measurement Scale
The questionnaire consisted of a total of 23 statements. The scale for service quality is adapted from (Burt & Carralero-Encinas, 2000; Semeijn et al., 2004). The scale for pricing is adapted from (Campbell, 1999a, 1999b; Huber et al., 2001; Kimes, 1994); The scale for perceived quality is adapted from (Grunert, 1997; Pappuet et al. 2005); The scale for local presence is adapted from (Juan & Joele 2011; Klein, 2003; Verhagen, et al. 2014). The scale for customer satisfaction is adapted from (Bloemer and Ruyter, 1998). The scale for loyalty is adapted from (Bigne, et al. 2001; Cronin et al. 2000; Reynolds & Beatty’s, 1999).
One of the statements, SAT3, from the construct customer satisfaction was removed for making the model more stable in Table 1
Table 1 Model Fit Summary | ||
Saturated Model | Estimated Model | |
SRMR | 0.169 | 0.204 |
d_ULS | 7.237 | 10.499 |
d_G | 4.143 | 4.570 |
Chi-Square | 3041.394 | 3232.208 |
NFI | 0.423 | 0.387 |
SRMR: A value less than 0.10 or of 0.08 (Hu & Bentler, 1999) is considered a good fit (Henseler et al., 2015). Here the SRMR value is 0.169 in Figure 2.
NFI: The NFI results in values between 0 and 1. The closer the NFI to 1, the better the fit (Lohmöller, 1989). The NFI value is 0.423 which is moderate.
Rms Theta: The measure should be close to zero to indicate good model fit (Henseler et al., 2015; Lohmöller, 1989). The rms Theta value is 0.263 in Table 2.
Table 2 R Square | ||
R Square | R Square Adjusted | |
LTY | 0.315 | 0.312 |
SAT | 0.730 | 0.725 |
The r square value of satisfaction is 0.730 which shows 73% of the variance being explained by the independent variables and r square value of Loyalty is 0.315 which shows 31.5% of the variance is explained by the independent variables in Table 3.
Table 3 Construct Reliability | ||||
Cronbach’s Alpha | rho_A | Composite Reliability | Average Variance Extracted (AVE) | |
Store Service | 0.748 | 0.730 | 0.829 | 0.496 |
Pricing | 0.955 | 0.957 | 0.971 | 0.918 |
Perceived Quality | 0.585 | 0.601 | 0.797 | 0.584 |
Local Presence | 0.738 | 1.059 | 0.788 | 0.559 |
Satisfaction | 0.668 | 0.782 | 0.834 | 0.649 |
Loyalty | 0.630 | 0.656 | 0.773 | 0.415 |
Chronbach’s alpha value of 0.5 and above is good. Rho A of 0.7 and above is good. Composite reliability of 0.7 and above is good. AVE of 0.5 and above is good. Overall it is seen that the constructs used are reliable in Table 4.
Table 4 Discriminant Validity, Fornell-Larcker Criterion | ||||||
Local Presence | Loyalty | Perceived Quality | Pricing | Satisfaction | Store Service | |
Local Presence | 0.748 | |||||
Loyalty | 0.457 | 0.644 | ||||
Perceived Quality | 0.330 | 0.628 | 0.764 | |||
Pricing | 0.294 | 0.711 | 0.417 | 0.958 | ||
Satisfaction | 0.826 | 0.561 | 0.350 | 0.376 | 0.806 | |
Store Service | 0.488 | 0.640 | 0.536 | 0.388 | 0.325 | 0.705 |
The diagonals are the square root of the AVE. Off-diagonals are the correlations of the latent constructs. The diagonals indicate the highest of any column or row. This complies with the discriminant validity requirements in Table 5.
Table 5 Path Coefficients | ||||||
Original Sample (O) | Sample Mean (M) | Standard Deviation (STDEV) | T Statistics (|O/STDEV|) | P Values | Results | |
Store Service -> Satisfaction | -0.212 | -0.214 | 0.092 | 2.313 | 0.021 | Accept H1 |
Store Service -> Loyalty | -0.119 | -0.119 | 0.048 | 2.495 | 0.013 | Accept H2 |
Pricing -> Satisfaction | 0.162 | 0.155 | 0.048 | 3.395 | 0.001 | Accept H3 |
Pricing -> Loyalty | 0.091 | .089 | 0.032 | 2.807 | 0.005 | Accept H4 |
Perceived Quality -> Satisfaction | 0.118 | 0.121 | 0.059 | 2.004 | 0.045 | Accept H5 |
Perceived Quality -> Loyalty | 0.066 | 0.069 | 0.034 | 1.936 | 0.053 | Reject H6 |
Local Presence -> Satisfaction | 0.843 | 0.855 | 0.060 | 13.959 | 0.000 | Accept H7 |
Local Presence -> Loyalty | 0.473 | 0.482 | 0.041 | 11.464 | 0.000 | Accept H8 |
Satisfaction -> Loyalty | 0.561 | 0.567 | 0.062 | 9.029 | 0.000 | Accept H9 |
From the path analysis of the model in Table 5, it is seen that store service has a positive influence on customer satisfaction and loyalty. A customer goes to a retail store where he feels comfortable to shop. A good store service adds to his/her satisfaction and makes him a loyal customer.
Pricing has a positive influence on customer satisfaction and loyalty. Price comparisons are common wherever a customer goes shopping. A reasonable price for good quality is desirable to the customer. This makes the customer happy and satisfied. It is seen during the pandemic that consumers are becoming more price sensitive due to reduced income generation and uncertainty. Yet, pricing reasonably and making the products available in time will help the retailer.
Perceived quality has a positive influence on customer satisfaction. A customer always compares the product or service after the consumption to check the quality. If the customer experiences a superior quality it gives him satisfaction. But it is also seen that perceived quality do not directly influence loyalty. This is the case which we see during the pandemic. Due to unavailability of the desired product, the customer has no other option but to select a substitute product. This is where the consumer may not consider the superior product quality but the availability of a substitute. The retailer can help the customer to switch to a local product which matches the quality requirement.
Local presence has a positive influence on customer satisfaction and loyalty. The pandemic has seen the growth of the local products. The local retailers and producers have kept their shop open even during the pandemic to serve the local population. The sincerity of the local producers to meet the requirement of the local population during troubled times is helping popularize the brand. Consumers have understood the significance of a local brand during the pandemic.
Customer satisfaction has a positive influence on loyalty. It goes without saying that a satisfied customer will come back to the outlet again for shopping. The customer will also recommend others to buy from the outlet. This is the reason why retailers have to take more care on thinking about consumer requirements than focusing only on profitability in Table 6.
Table 6 Indirect Effects | |||||
Original Sample (O) | Sample Mean (M) | Standard Deviation (STDEV) | T Statistics (|O/STDEV|) | P Values | |
Local Presence -> Loyalty | .473 | .482 | .041 | 11.464 | .000 |
Local Presence -> Satisfaction | |||||
Perceived Quality -> Loyalty | .066 | .069 | .034 | 1.936 | .053 |
Perceived Quality -> Satisfaction | |||||
Pricing -> Loyalty | .091 | .089 | .032 | 2.807 | .005 |
Pricing -> Satisfaction | |||||
Satisfaction -> Loyalty | |||||
Store Service -> Loyalty | -.119 | -.119 | .048 | 2.495 | .013 |
Store Service -> Satisfaction |
The three indirect effects: Store Service -> Loyalty, Pricing -> Loyalty, Local Presence -> Loyalty are significant and has full mediation. Perceived Quality -> Loyalty is not significant and has a partial mediation.
Store service, pricing, perceived quality and local presence have a positive influence on customer satisfaction. Customer satisfaction is dependent on how the retailer services his customers well. The experience the customer gets while availing the retailer’s services creates a memorable feeling for the customer. This helps in creating loyal customers. The pandemic has made it difficult for retailers to serve their customers better. Generic strategies don’t seem to work. A well-designed retail strategy to suit the consumer during the pandemic will help in keeping their customers together.
The sample size is low, a bigger sample size would help in getting a better model fit. The responses were not any location specific. A sample size of other age groups would have provided a wider understanding.
Customer loyalty is crucial for sustaining any business. Understanding the existing business environment and consumer behavior will help design better marketing strategies. The world is going through a period of uncertainty. Understanding the consumer requirements and helping the consumer in the tough times will help a brand to stand out in the long run. Compliance of the business houses with the Government norms for the safety of the citizens will help in building consumer confidence.
Variable | Codes | Statements |
Store Service | Store Service (STSER) | |
STSER1 | Store staffing levels affect the level of satisfaction | |
STSER2 | Store service policies and practices affect the satisfaction | |
STSER3 | Store transaction speed and waiting time at the check-outs affect the satisfaction | |
STSER4 | Managing Covid19 guidelines for safety is mandatory for all stores | |
Pricing | Pricing (PRICE) | |
PRIC1 | I believe the retailer should charge a fair price for the products | |
PRIC2 | Fair pricing policy of the store is important to me | |
PRIC3 | The store products should be reasonably priced | |
Perceived Quality | Perceived Quality (PERQL) | |
PERQL1 | The products in the store should be good in texture and appearance | |
PERQL2 | The product should be of good quality and appealing | |
PERQL3 | Product freshness and newness matters a lot | |
PERQL4 | Products available in the store should be safe and hygienic | |
Local Presence | Local Presence (LOCPR) | |
LOCPR1 | I prefer to go for local brands | |
LOCPR2 | I feel comfortable to shop in stores having local brands | |
LOCPR3 | I think local brands should be given more preference | |
Customer Satisfaction | Customer Satisfaction (SAT) | |
SAT1 | Generally, I am very happy with this store | |
SAT2 | I am extremely pleased with the quality of service provided by this store | |
SAT3 | This store meets my expectations | |
SAT4 | I am extremely pleased with the quality of service provided by the self-checkout system | |
Loyalty | Loyalty (LTY) | |
LTY1 | I would shop in this store again | |
LTY2 | I would recommend this store to any of my friends | |
LTY3 | If I need to shop again, I would come to this store | |
LTY4 | I would speak positively about this store to others | |
LTY5 | This store is my preferred choice |