2020
DOI: 10.3390/su12135474
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The Effect of Quality Management and Big Data Management on Customer Satisfaction in Korea’s Public Sector

Abstract: Data-driven decision making is needed in uncertain situations. Total quality management is the source of quality management activities and customer satisfaction. This study is related to the investigation into the application of total quality management based on big data management on the public sector in Korea. We developed a research model for total quality management, and investigated the role of moderating big data management between total quality management leadership and quality management. Moreo… Show more

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Cited by 15 publications
(13 citation statements)
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“…TQM recognizes the method of improving organizational and individual performance to enhance competitiveness [14]. This not only improves business economic health but also increases customer and employee satisfaction [15]. The goal of TQM is to focus on sustainable performance, using the least resources to maintain a well-functioning working environment [16].…”
Section: Introductionmentioning
confidence: 99%
“…TQM recognizes the method of improving organizational and individual performance to enhance competitiveness [14]. This not only improves business economic health but also increases customer and employee satisfaction [15]. The goal of TQM is to focus on sustainable performance, using the least resources to maintain a well-functioning working environment [16].…”
Section: Introductionmentioning
confidence: 99%
“…In this way, it can be pointed out that technologies are making data analysis more efficient, for which they used strategies and techniques that integrate the collection, processing, modeling, and visualization of said data [32], converting information into results that help identify problems, risks, or competitive advantages, contributing to more efficient and faster decision making [33,34]. Efficiency in data analysis has led decision makers to face increasingly complex situations [3], and with dynamic data [35].…”
Section: Analysis and Decision-makingmentioning
confidence: 99%
“…This study explored 12 service elements obtained from previous studies [2,33] and in-depth discussion of experts and customer s to evaluate the user satisfaction towards Foodpanda. The 12 elements were the number of vendors (1), food style (2), attitude of the delivery staff (3), delivery speed (4), appearance of the delivery staff (5), food freshness (6), food price (7), user-friendliness of the app (8), delivery price (9), vendor awareness (10), celebrity endorsement (11) and sales promotions (12). We divided the questionnaire into two partsimportance and satisfaction-and adopted a five-point Likert scale to measure the attitudes and opinions of the respondents.…”
Section: Questionnaire Designmentioning
confidence: 99%
“…In the service literature, empathy is regarded as one of the five dimensions measuring service quality [9,10], which refers to a customer's evaluation of reliability, responsiveness, assurance, and service quality [11]. However, when it comes to a business's competitive advantage, customer satisfaction, the difference between the customer's expectation and experience, needs to be examined because satisfied customers are loyal and an increase the frequency of repurchases helps create new customers by word of mouth marketing [12]. We used the Importance-Satisfaction (I-S) Model [13] to identify the dimensions that Foodpanda's customers are most satisfied with.…”
Section: Introductionmentioning
confidence: 99%
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