Civil Aviation Customer Satisfaction Automatic Evaluation System

In 2021, the airline industry was affected by COVID-19, and many airlines suffered losses. The main reason for the loss were the decline in revenue and the surge in costs. Therefore, in terms of creating the competitive advantage of airlines, "price war" is no longer applicable, and improving service quality has become an effective means. Customer satisfaction is the most effective indicator to measure service quality. In this study, a satisfaction evaluation system is established based on structural equation model and customer satisfaction importance matrix. Then, a questionnaire is designed to analyze the influence of different factors on customer satisfaction. The research finds that brand image and perceived quality have a great impact on customer satisfaction. In addition, some suggestions for airlines to improve customer satisfaction are given. © 2023 SPIE.

Market development strategy and process performance of knowledge-intensive SMEs in the epidemic era: a process-oriented perspective

PurposeThis study analyzes in-depth how knowledge-intensive small and medium-sized enterprises (SMEs) can achieve higher new product development (NPD) process performance in the epidemic era and examine the internal development mechanism of knowledge-intensive SMEs in the process of continuous digital transformation.Design/methodology/approachThis issue is tested with partial least squares on data collected via a survey conducted from November 2021 to February 2022. The sample comprises 487 knowledge-intensive SMEs operating in China.FindingsThe results indicate that one form of cross-functional ambidexterity, market development strategy (MDS), plays an important role in process performance from an inside-out financial perspective and an outside-in customer perspective. Simultaneously, product innovation efficiency (PIE) mediates the relationship between MDS and the above results. Big data analytics capabilities (BDACs) positively regulate the relationship between MDS and PIE.Research limitations/implicationsThe authors do not consider other contingency factors. Future research should introduce influential factors such as leadership and competitive intensity to further distinguish the effects of MDS on NPD process performance.Practical implicationsThe study findings offer suggestions to help knowledge-intensive SME managers better manage their NPD process by making better use of their limited resources in developing countries such as China.Originality/valueThis study is one of only a few to adopt a process-oriented perspective to specifically examine how one form of cross-functional ambidexterity, MDS, impacts knowledge-intensive SME process performance in the epidemic era. This study also extends the theoretical framework of cross-functional ambidexterity to BDAC research.

The Antecedents of Consumer Satisfaction Toward OTT Platforms During COVID-19 Lockdown in India

The outbreak of COVID-19 has emerged as the biggest threat to human life. It has changed the entire lifestyle of human beings concerning their emotional stability and cognitive development. Enjoyment is one of the emotions and acts as a positive stimulus that a consumer used to feel and seeks for a balanced life. Since the nationwide lockdown was implemented on March 25, 2020, people have turned restless about how to enjoy themselves at home, as all of their options of going out were being shattered. It was the time when continuous innovations in the form of digital content through over-the-top (OTT) platforms flourished and provided an affordable and diversified entertainment source to consumers. These OTT services help consumers to view the contents via the Internet directly. Furthermore, it has drastically changed people's preferences toward diversified content based on their choices. This study aims to explore the various determinants affecting consumer satisfaction toward the OTT platforms amid COVID-19 crisis in India. The study's main findings revealed that among the demographic variables, age group of the consumer largely influences their satisfaction toward OTT platforms. Moreover, work from home, affordability, convenience, and content quality are the significant determinants affecting consumer satisfaction levels toward OTT platforms. The study is relevant to the current marketing scenario, as it provides useful insights for the content developers of the major OTT platforms such as Amazon Prime, Netflix, Disney+ Hotstar, Voot, and many others to enhance the consumer satisfaction in the terms of digital content consumption.

The effects of online restaurant menus on consumer purchase intention: evidence from an emerging economy

PurposeThis study evaluates the impact of online menus and perceived convenience of online food ordering on consumer purchase intention and shows how a desire for food creates a relationship between an online menu and a customer's purchase intention. Suggestions for management are proposed to design an effective menu to improve business performance in the competitive market in Vietnam.Design/methodology/approachThe paper follows a quantitative method. Quantitative research aims to analyze and critically evaluate the research question(s) to discover new factors.FindingsFindings indicate a positive relationship between menu visual appeal (MV), menu informativeness (MI), desire for food (DF), the perceived convenience (PC) of ordering food online and intention to purchase (PI). The attractiveness of images and information is a significant factor affecting diners' desire to eat, while the demand for food and the convenience of ordering food online are also factors affecting purchase intention.Practical implicationsThe study confirms the importance of online menus to purchase intention. Economically, when supply and demand are reasonable, the market is stable and technology develops. In terms of social, hygiene, attractiveness and price factors, it is helpful to have an overview. Research is the premise for further studies with factors from menu to customer trust.Originality/valueThe study provides a solid foundation for further studies on restaurant menu elements as well as a new perspective on how restaurants improve their dishes.

Marketing Strategy: The Way to Create Store Loyalty in Indonesia Modern Retail

Supermarket in Indonesia and other countries is important for people to come and shop for primary and secondary necessities. With high economy growth supermarket business should have a good opportunity to survive the Covid 19 pandemic. Many people still shop in a brickand-mortar store for supermarket in Indonesia, thus it is possible that this type of business will still be growing in the future. As one of the leading local modern supermarkets in Surabaya, Hokky Supermarket defines itself as supermarket that provides premium ingredients and unique products. The sample used in this study includes Hokky Supermarket costumers domiciled in Surabaya, who are man and woman aged between 18-60, have visited and make a purchase at Hokky Supermarket Surabaya for at least 2 times in the last 3 months, have visited and made a purchase at other supermarkets in Surabaya for at least 2 times in the last 3 months, and have asked for help or interacted with Hokky Supermarket Surabaya employees. There are 139 respondents. Based on the data analysis, it can be concluded that all the five hypotheses in this research are supported.

A Three-Stage Hybrid SEM-BN-ANN Approach for Analyzing Airport Service Quality

The novel coronavirus (COVID-19) outbreak has impacted the aviation industry worldwide. Several restrictions and regulations have been implemented to prevent the virus's spread and maintain airport operations. To recover the trustworthiness of air travelers in the new normality, improving airport service quality (ASQ) is necessary, ultimately increasing passenger satisfaction in airports. This research focuses on the relationship between passenger satisfaction and the ASQ dimensions of airports in Thailand. A three-stage analysis model was conducted by integrating structural equation modeling, Bayesian networks, and artificial neural networks to identify critical ASQ dimensions that highly impact overall satisfaction. The findings reveal that airport facilities, wayfinding, and security are three dominant dimensions influencing overall passenger satisfaction. This insight could help airport managers and operators recover passenger satisfaction, increase trustworthiness, and maintain the efficiency of the airports in not only this severe crisis but also in the new normality.

Do E-wallets trigger impulse purchases? An analysis of Malaysian Gen-Y and Gen-Z consumers

This study investigates the factors influencing Generation Y and Z's satisfaction and perceived enjoyment of using E-wallet. This paper further assesses whether consumers perceived enjoyment and satisfaction with using E-wallet would significantly affect their impulsive buying behavior. PLS-SEM was conducted based on 201 valid responses from active E-wallet users collected through an online survey. The results revealed that perceived interactivity and subjective norm positively influenced perceived enjoyment and satisfaction with using E-wallet, respectively. Perceived risk had no significant impact on perceived enjoyment and satisfaction with E-wallet, whereas visual appeal positively influenced perceived enjoyment but not satisfaction. Moreover, this study found that perceived enjoyment of using an E-wallet positively affected impulse buying while satisfaction with E-wallet had no significant relationship with impulse buying. Implications and recommendations for future research are discussed in this paper.

THE DUAL EFFECT OF FEAR OF PANDEMIC ON CONSUMERS (SATISFACTION AND REPURCHASE INTENTION) FOR ELECTRICAL HOME APPLIANCES DURING COVID-19

Electrical home appliances (EHA) are necessary for modern life. Some of these items are costly. Customer needs cognitive decision before purchasing. COVID-19 and its impact on humanity are disastrous and devastating (lockdown, social distance, joblessness, low/no income, death, and long health crisis). Like other businesses, EHA purchases and their usage have been affected. The study investigated customer satisfaction and the repurchase intention of EHA. The study was conducted in Malaysia and data were collected from 400 Malaysians using structured questions through social media and emails. Collected data were analysed with PLS-SEM (SmartPLSv.3). The study found that product quality, customer perceived value, and social media usage were significant with customer satisfaction and customer satisfaction and fear of the pandemic were also influential on repurchase intention. Besides, customer satisfaction is mediated fully with repurchase intention. Moreover, the contributory part is to investigate the moderating effect of fear of the pandemic on the relationship between satisfaction and repurchase intention was significant. Fear of the pandemic was a successful exogenous and interaction construct. The study used two prominent theories to support the framework and the relationships: Stimulus Organism Response theory and Perceived Risk Theory were successfully buttressed by current findings. These findings were very insightful for practitioners and knowledge-builders. © Penerbit UMT

Global [formula omitted]-Commerce (G[formula omitted]C) theory by intuitionistic fuzzy [formula omitted]-submodule

Intuitionistic fuzzy set (IFS) theory can be applied for multi-aspect systems due to its capability to address uncertainty and incomplete information in terms of membership and non-membership degrees. Unfortunately, classical Γ -structures cannot handle fuzzy and imprecise information in real problems. In fact, there is no rigorous base to practically express the effectiveness of multi-attribute systems in IFS environment. Here, we develop a generalized IFS with the notion of Γ -module called intuitionistic fuzzy Γ -submodule (IF Γ M) to establish a novel " Global electronic (e)-Commerce (GeC) Theory ". To simplify the analysis of parameters, (α , β) -cut representation is proposed in terms of comprehensive distribution of fuzzy number for the classification of components. On the other hand, Cartesian product is implemented to correspond the elements. Substantial properties of IF Γ M including (α , β) -cut, Cartesian product and t -intuitionistic fuzzy Γ -submodule (t -IF Γ M) are characterized with illustrative examples to extend the framework of IF Γ M, where (α , β) -cut and support t -IF Γ M are verified to be Γ -submodules based on the properties of IF Γ M. Through Γ -module homomorphism, image and inverse image, the parametric connections between (α , β) -cuts are systematically investigated. In addition, a mathematical relationship between the Cartesian product and (α , β) -cut is determined. The overlapping intersection of a collection of t -IF Γ M is proved to be t -IF Γ M, and the image and inverse image are preserved under Γ -module homomorphism. As global e -trades are increasingly expanding after the recent coronavirus disease 2019 (COVID-19) hit, with the growth of 26.7-trillion dollars, businesses are required to transform their traditional functional natures to online (or blended) strategies for cost efficiency and self-survival in the present competitive environment. Therefore, compared to recent studies on IFS in the context of Γ -structures, the main contribution of this study is to provide a theoretical basis for the establishment of a new GeC Theory through the developed IF Γ M method and Γ -module M which targets the purchasing rate of customers through e -commerce companies. In the end, the performance of the proposed method in terms of upper and lower cut, t -intuitionistic fuzzy set, support and IF Γ M model, is analyzed in the developed GeC Theory. The proposed GeC Theory is validated using real datasets of e -commerce mega companies, i.e., Amazon, Alibaba, eBay, Shopify. They are characterized based on the amount of online shopping by samples (individuals). Compared to the existing methods, the GeC approach is an effective IFS-based method for complex systems with uncertainty. [ FROM AUTHOR] Copyright of Engineering Applications of Artificial Intelligence is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

COVID-19 Pandemic Learning: The Uprising of Remote Detailing in Pharmaceutical Sector Using Sales Force Automation and Its Sustainable Impact on Continuing Medical Education

The availability of resources is vital when rapid changes and updated medical information in the provision of care are needed, such as in the fight against COVID-19, which is not a conventional disease. Continuing medical education plays an essential role in preparing for and responding to such emergencies. Workflow has improved based on the virtual meetings, online trainings, and remote detailing conducted by medical representatives in order to deliver educational content instantly through digital tools, such as salesforce automation (SFA), webinars, etc. In terms of its regulatory barriers, the pharmaceutical industry mainly targets healthcare professionals, unlike most businesses that reach end users directly. Medical representatives are equipped with an SFA to enhance customer relationship management (CRM) and closed loop marketing (CLM) capabilities in pharmaceutical companies. This study aimed to fill a gap in the literature by investigating the use of SFA in work patterns, such as health professionals' loyalty and involvement in their medical knowledge in Turkey, and how it allows for differentiating training from marketing. This study intended to compare the data on internists and medical products gathered from a well-known pharmaceutical company's SFA. The data covered the first three months of the year 2020, when medical representatives had a normal daily routine, and that of 2021, when Turkey experienced the most powerful surge of the COVID-19 pandemic. The analysis was based on simple correspondence analysis (SCA) and multiple correspondence analysis (MCA) for 11 variables. Monitoring product, physician's segment, and medical representatives' behaviors with SFA had a significant influence on the pharma-physician relationship strategy, as expected. The findings supported the view that SFA technologies can be deployed to advance the medical knowledge of physicians, in addition to managing and designing superior CRM and CLM capabilities.

Generational knowledge transfer and retention strategies

PurposeThis study reviews strategies organizational leaders and human resource practitioners can deploy to develop knowledge transfer and retention succession planning strategies for older employees to mitigate generational organizational knowledge loss prior to retirement.Design/methodology/approachThis study used a questionnaire with 28 baby boomer employees and leaders of baby boomers at a large federal agency. Purposive and snowball sampling techniques were used. Questions asked participants about knowledge transfer, retention strategies and how challenges to counter baby boomer knowledge loss are addressed in the workplace.FindingsDevelop succession plans using standard operating procedures and job aids to reduce knowledge loss and enhance retention. Deploy hands-on training to share historical knowledge, enhance relationship building, mentoring programs, cross-training opportunities, retention incentives and document process improvement. The strategies are supported by organizational learning and knowledge management theories.Originality/valueThis study contributes to organizational leaders' and human resource practitioners' knowledge transfer and retention succession planning strategies to counter generational knowledge loss.

Purchase Motives of Retail Consumers Nanostores: Evidence from Indonesia: Acces la Success

Many researchers have studied purchasing motives at retail hypermarkets and modern retail scales. However, it is still rarely found in micro or nano-scale retail stores though nanostores are much higher, especially in developing countries. Therefore, this study aims to analyze the factors that motivate someone to buy goods at the nanostore. The research was done using the explanatory survey method. The number of samples is 210 respondents. The data were process using confirmatory factor analysis. The research location is in a big city in Indonesia, namely Bandung City. This city is a city of tourism and trade. The results of the study prove that 12 factors determine consumer motives for shopping at nanostores. These 12 factors are grouped into three: product attributes, self-orientation, and service guarantees. Although this study was conducted on consumer nanostores, the study results contribute to marketing theory, where service assurance is an important part of consumers' purchase motives. This study shows the retailers must understand consumers' buying motives and use the results of this study to increase sales turnover. The results of this study, when used by retail entrepreneurs, are predicted to increase customer satisfaction and loyalty. Service guarantees are the main attraction for consumers to shop at nanostores and this is a new thing in the concept of purchasing motives. For the future, it is recommended to continue the study of purchase motives in modern countries. The concept of service guarantee needs to be researched to find out whether service guarantee can increase the loyalty of large, medium, and nanostore retail consumers.

Exploring the motivations to use online meal delivery platforms: Before and during quarantine

Online meal delivery platforms (OMDPs), like UberEats, have received more attention since quarantine was established to prevent the spread of COVID-19. The research into antecedents of satisfaction and continuous usage intention for OMDPs, in general, is under researched. The current study compared the antecedents of satisfaction before quarantine to the antecedents during quarantine through the lens of Expectation-Confirmation Theory. Through multiple regression analyses, the researchers found that before quarantine, sharing economy ethos, price-value, food quality, ease of use and confirmation of beliefs had a significant impact on satisfaction while during quarantine, food quality, service speed, ease of use, and confirmation of beliefs were significant. Practical and theoretical implications are discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Online innovation and repurchase intentions in hotels: the mediating effect of customer experience

PurposeThis study investigates how customer experience mediates the relationship between online innovation and repurchase intention in the hotel industry in Ghana.Design/methodology/approachData was collected from 167 clients from a two-star hotel in Accra, the capital city of Ghana. Structural equation modelling was used to analyse the relationship between the variables.FindingsResults from the analysis indicate that online innovation positively leads to higher repurchase intentions and better customer experience, affirming that customer experience leads to repurchase intentions. Thus, while online innovation leads to repurchase intentions, the strength of this repurchase intention depends on customer experience. Therefore, customer experience mediates the relationship between online innovation and repurchase intention in the hotel industry.Research limitations/implicationsThis study addressed only the customer's point of view;future studies could investigate the subject from the managers and other stakeholders' point of view to get a holistic view. Also, the sample size could be improved, and the study could be conducted in other African countries for comparison purposes.Practical implicationsThe study shows that online innovation does not automatically lead to increased positive repurchase intention. Hotel managers must, therefore, enforce good customer experience for better profitability.Originality/valueAs far as the researchers know, limited studies have been conducted into how customer experience mediates online innovation and repurchase intention in the hotel industry in Ghana using structural equation modelling. This makes this research unique in Ghana. This study makes an original contribution by measuring the real effect of innovation on repurchase intentions in the hotel industry in Ghana.

Tourist Behavior in the Cruise Industry Post-COVID-19: An Examination of Service Quality, Corporate Image, and Intentions to Pay and Revisit

The COVID-19 outbreak has had detrimental consequences on the cruise industry due to the suspension of commercial cruise trips, and these effects remain apparent in Saudi Arabia. The offered service quality (SQ) in the post-COVID-19 era seems to be a critical element for improving customer experiences and satisfaction, enhancing destination attractiveness, increasing revenue, and maintaining repeat business. The current study aimed to assess the impact of service quality on tourists' satisfaction and corporate image as well as the intention to pay for cruise trips and revisit the destination among 315 tourists in Saudi Arabia. Service quality was measured using five subscales of the SERVQUAL scale, including reliability, tangibles, responsiveness, assurance, and empathy. Tourists' satisfaction was significantly influenced by four domains of SQ, whereas the intention to pay more, intention to revisit the destination, and corporate image were significantly predicted by ≤3 domains of SQ. The study's findings can help the cruise industry to improve its offerings and create more personalized and engaging experiences that meet the changing needs of customers in the recovery period after the COVID-19 outbreak.

The impact of the COVID-19 pandemic on airlines' passenger satisfaction.

This study aims to understand airline passengers' satisfaction trends by analyzing the most influential factors on satisfaction before and during the COVID-19 pandemic. The sample consists of a dataset with 9745 passenger reviews published on airlinequality.com. The reviews were analyzed with a sentiment analysis tool calibrated for the aviation industry for accuracy. Machine learning algorithms were then implemented to predict review sentiment based on airline company, travelers' type and class, and country of origin. Findings show passengers were unhappy before the pandemic, aggravated after the COVID-19 outbreak. The staff's behavior is the main factor influencing passengers' satisfaction. Predictive modeling showed that it is possible to predict negative review sentiments with satisfactory performance rather than positive reviews. The main takeaway is that passengers, after the pandemic, are most worried about refunds and aircraft cabin cleanliness. From a managerial standpoint, airline companies can benefit from the created knowledge to adjust their strategies in agreement and meet their customers' expectations.

Effect of COVID-19 health threat on consumer's perceived value towards mobile payments in India: a means-end model

Shifting to mobile payments from offline payments can be considered as a social distancing measure in times of a pandemic. The COVID-19 outbreak is currently entering its 'endemic' stage;continued usage of mobile-based payment services is thereby warranted as a social distancing mechanism. This could be true in case of any other pandemic/endemic outbreaks like SARS/Nipah virus outbreaks. The current study examines how the 'perceived' health threat posed by COVID-19 and mobile payment service quality (MPSQ) influence consumers' perceived value toward continuous usage of mobile payment services (MPS) in India. In addition, the investigation considers other factors that prompt consumers to continue using the service. Customers, who used mobile payment applications for making cashless transactions during the pandemic, formed the subjects of the study. Data were collected from 720 mobile payment users. The research model integrates the concept of health threat in health belief model to means-end chain model to explain why a customer opts to choose m-payment at times of a pandemic, and what prompts him/her to continue with its usage. The model was empirically tested with structural equation modeling, along with mediation and moderation analysis. It was found that MPSQ, perceived susceptibility, and perceived severity of COVID-19 significantly enhanced consumers' value perceptions regarding MPS, which leads to satisfaction and continuance intention of using the same. In addition, the study also found a significant positive moderating role of consumer involvement on the relationship between perceived health threat, perceived value, and MPSQ. The threat of COVID-19, being an endemic, or occurrence of similar pandemics persists, and adopting contactless transactions via MPS to comply with social distancing norms may improve customer value perceptions that could aid in the persistence of MPS usage. Also, derivation of value perceptions out of the service quality acts as a driver to continuous usage.

Is it worth investing in an online fashion pop-up store?

The COVID-19 pandemic outbreak has also challenged fashion brands to offer (potential) customers new and exciting online brand experiences and buying options. This study compared the effectiveness of two types of online fashion stores: an online pop-up store versus the same brand's web store, for a luxury brand (Louis Vuitton) and a mass-selling fashion brand (Nike). The effectiveness of the stores was measured by means of the following constructs: perceived brand experiences, social media buzz intentions, and buying intentions. Based on previous research on personality traits of fashion pop-up store visitors, we hypothesized that online pop-up stores would be more effective for customers with a high level of need for uniqueness (NFU). A sample of 212 female customers participated in our online experiment that had a between subjects-design. The results showed that customers who score relatively high on NFU are significantly more likely to buy from an online pop-up store. These customers also have superior brand experiences, and are more likely to share their experiences on social media, regardless of brand type. Overall, the results indicate that an online fashion pop-up store is significantly worth considering, especially for female customers who are looking for uniqueness.

The impact of the built environment, price level, and service quality on customer satisfaction under the effect of COVID-19

The COVID-19 pandemic has changed the way business is handled. Besides, people's purchasing habits have been impacted by new safety, social, and health restrictions. Thus, the purpose of this research was to analyze the COVID-19 pandemic impact in the relationships between the built environment, price level, and service quality on supermarket customers' satisfaction. For this purpose, a survey of 245 supermarket customers in southern Brazil was conducted at two different times: before and during the pandemic. The results point out that the price level, toilets, and location are essential to explain satisfaction at all times. Comfort presented importance before the pandemic, configuration, and service quality in pandemic times. These features are essential for supermarket management to prioritize efforts on attributes and dimensions relevant to customers.

Impact of e-service quality on e-loyalty of online banking customers in Pakistan during the Covid-19 pandemic: mediating role of e-satisfaction

This study explores the mediating role of e-satisfaction during the pandemic on the relationship between e-service quality and e-loyalty of banking customers in Pakistan. The data were collected from 442 customers of online banking services in Pakistan during the Covid-19 pandemic, following a survey-based study. Baron and Kenny (J Personal Soc Psychol, 51(6):1173, 1986) and Preacher and Hayes (Behav Res Methods, 40(3):879-891, 2008) mediation technique which utilizes the bootstrapping method has been used to explore mediation. The findings show that e-service quality has a significant positive effect on the e-loyalty of the customers of online banking services. Relationships between e-service quality and e-loyalty of online banking customers in Pakistan are significantly and fully mediated by their online satisfaction in unusual situations. This study would help the bankers to implement more effective marketing strategies to retain their customers and attract potential customers, particularly during non-normal situations like the Covid-19 pandemic. It will help them identify the areas of e-services that need improvement to enhance the satisfaction and loyalty of the customers. The bootstrap method for mediation along with Baron and Kenny (J Personal Soc Psychol, 51(6):1173, 1986) leads to using a more sophisticated methodological technique to explore the mediation. The Oliver Expectancy-Disconfirmation Paradigm (EDP) in electronic banking setup during non-normal situations like the Covid-19 pandemic also served as a unique contribution to this study. Application of Baron and Kenny (J Personal Soc Psychol, 51(6):1173, 1986) mediation along with Preacher and Hayes (Behav Res Methods, 40(3):879-891, 2008) leads to more robust findings for the study in non-normal situations like the Covid-19 pandemic. The study findings add scientific value as they are applicable to the banking sector in particular in non-normal situations like the Covid-19 pandemic and the overall service sector in general. Further, as two different methods of mediation have been employed and this makes the study more rigorous and scientific.