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2022 ◽  
Author(s):  
cannaleafz not provided
Keyword(s):  
Customer Complaints

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PENGARUH KUALITAS PELAYANAN TERHADAP KEPUASAN PELANGGAN PLN RAYON KEDIRI KOTA (STUDI KASUS PEMBAYARAN REKENING LISTRIK DI PLN RAYON KEDIRI KOTA)

2019 ◽  
Vol 1 (2) ◽  
pp. 96
Author(s):  
Septiyan Budi Santoso ◽  
Heribertus Budi Santoso ◽  
Ana Komari
Keyword(s):  
Quality Of Service ◽  
Data Collection ◽  
Customer Satisfaction ◽  
Primary Data ◽  
Customer Complaints ◽  
Work Area

This study aims to determine how high the level of customer satisfaction with the service of PLN Rayon Kediri Kota, to determine the quality of service to customer satisfaction PLN Rayon Kediri Kota, to determine the response of the PLN Kediri Kota in dealing with customer complaints. This research was conducted in the work area of PLN Rayon Kediri Kota. The research time was on March 18, 2017 to March 24, 2017. In writing this thesis, the author uses primary data collection techniques, namely by distributing questionnaires to PLN Rayon Kediri Kota customers who come to the payment counter. and PLN District Kediri City services. Based on the results of the research, the quality of service conducted by PLN District Kediri Kota is sufficient to satisfy its customers, as evidenced by the results of a questionnaire that has been conducted on 100 respondents of PLN Rayon Kediri City.Penelitian ini bertujuan untuk mengetahui seberapa tinggi tingkat kepuasan pelanggan terhadap pelayanan PLN Rayon Kediri Kota, Untuk mengetahui kualitas pelayanan terhadap kepuasan pelanggan PLN Rayon Kediri Kota, Untuk mengetahui respons pihak PLN Kediri Kota dalam menghadapi keluhan pelanggannya. Penelitian ini dilakukan di wilayah kerja PLN Rayon Kediri Kota. Waktu penelitian pada tanggal 18 Maret 2017 sampai dengan 24 Maret 2017. Dalam penulisan skripsi ini, penulis menggunakan teknik pengumpulan data primer yaitu dengan membagikan kuesioner terhadap pelanggan PLN Rayon Kediri Kota yang datang ke loket pembayaran dan pelayanan PLN Rayon Kediri Kota. Berdasarkan hasil penelitian kualitas pelayanan yang dilakukan oleh PLN Rayon Kediri Kota sudah cukup memuaskan pelanggannya terbukti dengan hasil kuesioner yang telah dilakukan terhadap 100 responden PLN Rayon Kediri Kota.

K-MEANS CLUSTERING ALGORITHM FOR SERVICE DATA ANALYSIS BASED ON CUSTOMERS COMBINATION

2018 ◽  
Vol 3 (1) ◽  
pp. 001
Author(s):  
Zulhendra Zulhendra ◽  
Gunadi Widi Nurcahyo ◽  
Julius Santony
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Clustering Algorithm ◽  
Customer Complaints ◽  
Using Data ◽  
Clustering Data ◽  
Service Data ◽  
Selection Of

In this study using Data Mining, namely K-Means Clustering. Data Mining can be used in searching for a large enough data analysis that aims to enable Indocomputer to know and classify service data based on customer complaints using Weka Software. In this study using the algorithm K-Means Clustering to predict or classify complaints about hardware damage on Payakumbuh Indocomputer. And can find out the data of Laptop brands most do service on Indocomputer Payakumbuh as one of the recommendations to consumers for the selection of Laptops.

Use of activated carbon to remove undesirable residual amylase from refinery streams

2017 ◽  
pp. 96-103 ◽  
Author(s):  
Gillian Eggleston ◽  
Isabel Lima ◽  
Emmanuel Sarir ◽  
Jack Thompson ◽  
John Zatlokovicz ◽  
...  
Keyword(s):  
Activated Carbon ◽  
High Temperature ◽  
High Performance ◽  
Activated Carbons ◽  
Amylase Activity ◽  
Sugar Industry ◽  
End User ◽  
Customer Complaints ◽  
Carry Over ◽  
Very High

In recent years, there has been increased world-wide concern over residual (carry-over) activity of mostly high temperature (HT) and very high temperature (VHT) stable amylases in white, refined sugars from refineries to various food and end-user industries. HT and VHT stable amylases were developed for much larger markets than the sugar industry with harsher processing conditions. There is an urgent need in the sugar industry to be able to remove or inactivate residual, active amylases either in factory or refinery streams or both. A survey of refineries that used amylase and had activated carbon systems for decolorizing, revealed they did not have any customer complaints for residual amylase. The use of high performance activated carbons to remove residual amylase activity was investigated using a Phadebas® method created for the sugar industry to measure residual amylase in syrups. Ability to remove residual amylase protein was dependent on the surface area of the powdered activated carbons as well as mixing (retention) time. The activated carbon also had the additional benefit of removing color and insoluble starch.

The Impact of Employee Empathy on Brand Trust in Organizational Complaint Response Emails: A Closer Look at Linguistic Realization

2021 ◽  
pp. 232948842110323
Author(s):  
Rebecca Van Herck ◽  
Sofie Decock ◽  
Bernard De Clerck ◽  
Liselot Hudders
Keyword(s):  
Positive Impact ◽  
Brand Trust ◽  
Mediating Effects ◽  
Customer Complaints ◽  
Moderation Effects ◽  
Complaint Handling ◽  
Negative Effect ◽  
Handling Quality ◽  
The Impact

This study investigates the effect of linguistic realizations of employee empathy (LREE) on brand trust in email responses to customer complaints. We explore possible mediating effects of perceived empathy and perceived complaint handling quality and we look into moderation effects of compensation (Study 1) or customer’s acceptance of blame (Study 2). Our aim is to find out if LREE have a negative or positive impact on the customer in cases of partial refunds, either because LREE are being perceived as insincere or as genuine expressions of concern. The results of two experiments show that LREE positively influence brand trust through higher perceived empathy and perceived complaint handling quality. However, the expected negative effect is not found, as LREE are more effective in a low versus high compensation condition. The effectiveness itself is not influenced by the acceptance of blame when a partial refund is offered.

Complaint Response Strategies in Interpersonally Sensitive Phone Interactions in Chinese Service

2020 ◽  
Vol 7 (12) ◽  
pp. 153-180
Author(s):  
Ping Liu ◽  
Min Cai
Keyword(s):  
Call Center ◽  
Service Industry ◽  
Interpersonal Relationship ◽  
Business Organizations ◽  
Customer Complaints ◽  
Response Strategies ◽  
Complaint Handling ◽  
Research Questions ◽  
Definition Of ◽  
Pragmatic Strategies

For any business organizations, it is of great importance to handle customer complaints effectively. This is particularly vital in the service industry as complaining customers are found not very collaborative and tend to be emotional in the process of complaining [1] and sometimes the exchanges between agents and complaining customers become interpersonally sensitive. Following Orthaber and Reiter’s [2] definition of “interpersonally sensitive exchange”, this study addresses two research questions: (1) what pragmatic strategies are employed by call center agents in interpersonally sensitive interactions in complaint responses? 2) and what are the effects of these strategies on interpersonal relationship in complaint responses? Based on a corpus of 42 outbound calls (approximately 7.5 hours) made by the agents in the Complaint Centre of one Chinese airline, four conventional and two unconventional complaint response strategies are found to be employed by the agents. These strategies produce positive outcomes in some cases while lead to opposite effects in others. An effective strategy can either enhance the rapport between the agent and the complaining customer, or benefit the progressivity of complaint handling. Conversely, it deteriorates the originally sensitive rapport and sometimes even leads to upgraded complaint.

Dissatisfaction toward O2O websites: expectation disconfirmation and justice perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tong Che ◽  
Meng Ji ◽  
Xiabing Zheng ◽  
Bo Feng
Keyword(s):  
Design Methodology ◽  
Research Model ◽  
Justice Theory ◽  
Content Type ◽  
Customer Complaints ◽  
Justice Perception ◽  
Consumer Dissatisfaction ◽  
Expectation Disconfirmation ◽  
Survey Responses ◽  
Service Managers

PurposeThe online-to-offline (O2O) business is developing rapidly and is highly popular in many countries. Nevertheless, O2O suffers from a large number of customer complaints that result in consumer loss. Focusing on the O2O context, this study integrates expectation disconfirmation theory (EDT) and justice theory to investigate consumers' dissatisfaction toward O2O websites.Design/methodology/approachA research model was proposed and tested using 329 survey responses.FindingsResults show that the identified website disconfirmation and offline service disconfirmation could lead to consumer dissatisfaction. Importantly, the impacts of disconfirmation factors are contingent upon the justice perception of consumers. When a transaction is perceived as unfair, website disconfirmation arouses a higher level of dissatisfaction, and the negative emotions could transfer from O2O and damage the website's reputation.Originality/valueThis study explores the continuance intentions of customers toward O2O websites from a dissatisfaction perspective, with insights for future service studies and O2O service managers.

Selection methods of lean management tools: a review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ali Jaber Naeemah ◽  
Kuan Yew Wong
Keyword(s):  
Decision Making ◽  
Performance Metrics ◽  
Work Conditions ◽  
Lean Management ◽  
Selection Methods ◽  
Tool Selection ◽  
Content Type ◽  
Customer Complaints ◽  
Lean Tools ◽  
Selection Of

PurposeThe purpose of this paper is (1) to review, analyze and assess the existing literature on lean tools selection studies published from 2005 to 2021; (2) to identify the limitations faced by previous studies; and (3) to suggest future works that are necessary to facilitate the selection of lean tools.Design/methodology/approachA systematic approach was used in order to identify, collect and select the articles. Several keywords related to the selection of lean tools were used to collect articles from different Scopus indexed journals. Next, the study systematically reviewed and analyzed the selected papers to identify the lean tools' selection method and discussed its features and limitations.FindingsAn analysis of the results showed that previous studies have adopted two types of methods for selecting lean tools. First, there are various traditional methods being used. Second, multi-criteria decision-making (MCDM) methods were commonly used in previous studies, such as the multi-objective decision-making method (MODM), single multi-attribute decision-making (MADM) methods and hybrid (MCDM). Moreover, the study revealed that the lean tools' selection methods in previous studies were based on evaluating the relationship between either lean tools and performance metrics or lean tools and waste, or both.Research limitations/implicationsIn terms of its theoretical value, the study is considered as an extension of the previous researches performed on this topic by determining and analyzing the features of the most selection methods of lean tools. Unlike previous review papers, this review had considered discussing and analyzing the characteristics and limitations of these methods. Section 2.2 of this paper reviewed some of the categories of MCDM methods as well as some of the traditional methods used in the selected previous studies. Section 2.1 of this paper explained the concept of lean management and its application benefits. Further, only three sectors were covered by the previous studies in this review paper. This study also provided recommendations for future research. Therefore, it provided researchers with a good conception of how to conduct the studies on lean tools selection. Besides, knowing the methods used in previous studies can help researchers develop new methods to select the best set of lean tools. That is, this study provided and advanced the existing knowledge base for researchers concerning lean tools selection, especially there is limited availability of review papers on this topic. Moreover, the study showed researchers the importance of the relationship between lean tools and indicators or/and performance indicators to determine the appropriate set of lean tools so that the results of future studies will be more realistic and acceptable.Practical implicationsPractically, manufacturers face a significant challenge when selecting proper lean tools. This study may enhance managers, manufacturers and company's knowledge to identify most of the methods used to choose the best set of lean tools and what are the advantages, disadvantages and limitations of these methods as well as the latest studies that have been adopted in this topic. That means this study can direct companies to prioritize the application of lean tools depending on either the manufacturing performance metrics or/and manufacturing wastes so that they avoid incorrect application of lean tools, which will add more non-value added activities to operations. Therefore companies can decrease the time and cost losses and enhancing the quality and efficiency of the performance. Correctly implementing the best set of lean tools in companies will lead in general to correctly applying lean management in corporations. Therefore, these lean tools can boost the economic aspect of companies and society through reducing waste, improving performance indicators, preserving time and cost, achieving quality, efficiency, competitiveness, boosting employee income and improving the gross domestic product. The correct lean tool selection reduces customer complaints and employee stress and improves work conditions, health, safety and labor wellbeing. Besides, the correct lean tools selection improves materials usage, energy usage, water usage and decreases liquid wastes, solid wastes and air emissions. As a result, the right selection of lean tools will have positive effects on both the environment and society. The study may also encourage manufacturers and researchers to adopt studies on lean tools selection in small- and medium-sized companies because the study referred to the importance and participation of these kinds of companies in a large proportion of the economy of developing countries. Further, the study may encourage some countries that have not previously adopted this type of study, academically and industrially to conduct lean tools selection studies.Social implicationsAs mentioned previously, the correct lean tool selection reduces customer complaints and employee stress and improves work conditions, health, safety and labor wellbeing. The proper lean tools selection improves materials usage, energy usage, water usage and decreases liquid wastes, solid wastes and air emissions. As a result, the right choice of lean tools will positively affect both the environment and society.Originality/valueThe study expanded the efforts of previous studies concerning lean management features. It provided an accurate review of most lean tools selection studies published from 2005 to 2021 and was not limited to the manufacturing sector. It further identified and briefly described the selection methods concerning lean tools adopted in each paper.

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