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Piyush Sharma - One of the best experts on this subject based on the ideXlab platform.
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When in Rome! Complaint Contagion Effect in multi-actor service ecosystems
Journal of Business Research, 2020Co-Authors: Ke Chen, Jianxun Chen, Wu Zhan, Piyush SharmaAbstract:Abstract This paper explores the process by which other customers’ complaint behavior influences the focal customers’ complaint intentions in response to a service failure affecting multiple customers. The authors use social information processing theory to argue that the other customers’ complaint behavior has a positive Effect on the focal customers’ complaint intentions, which they refer to as ‘complaint Contagion Effect’. Next, they posit mediating role of anger and moderating Effects of social identification with other customers, perceived credibility of the other customers, and the focal customers’ prior relationship with the service provider in this process. Four experiments confirm the presence of complaint Contagion Effect and show that the complaint Contagion Effect is stronger for focal customers with high social identification with others, high perceived credibility of other customers and weak prior relationship of focal customers with the service providers.
Ke Chen - One of the best experts on this subject based on the ideXlab platform.
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When in Rome! Complaint Contagion Effect in multi-actor service ecosystems
Journal of Business Research, 2020Co-Authors: Ke Chen, Jianxun Chen, Wu Zhan, Piyush SharmaAbstract:Abstract This paper explores the process by which other customers’ complaint behavior influences the focal customers’ complaint intentions in response to a service failure affecting multiple customers. The authors use social information processing theory to argue that the other customers’ complaint behavior has a positive Effect on the focal customers’ complaint intentions, which they refer to as ‘complaint Contagion Effect’. Next, they posit mediating role of anger and moderating Effects of social identification with other customers, perceived credibility of the other customers, and the focal customers’ prior relationship with the service provider in this process. Four experiments confirm the presence of complaint Contagion Effect and show that the complaint Contagion Effect is stronger for focal customers with high social identification with others, high perceived credibility of other customers and weak prior relationship of focal customers with the service providers.
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When in Rome! Complaint Contagion Effect in multi-actor service ecosystems
'Elsevier BV', 2020Co-Authors: Ke Chen, Wu Zhan, Chen Jianxun, Sharma PiyushAbstract:© 2020 Elsevier Inc. This paper explores the process by which other customers’ complaint behavior influences the focal customers’ complaint intentions in response to a service failure affecting multiple customers. The authors use social information processing theory to argue that the other customers’ complaint behavior has a positive Effect on the focal customers’ complaint intentions, which they refer to as ‘complaint Contagion Effect’. Next, they posit mediating role of anger and moderating Effects of social identification with other customers, perceived credibility of the other customers, and the focal customers’ prior relationship with the service provider in this process. Four experiments confirm the presence of complaint Contagion Effect and show that the complaint Contagion Effect is stronger for focal customers with high social identification with others, high perceived credibility of other customers and weak prior relationship of focal customers with the service providers
Harjum Muharam - One of the best experts on this subject based on the ideXlab platform.
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INTEGRASI PASAR SAHAM SYARIAH DAN Contagion Effect DARI GEJOLAK ECONOMIC SLOWDOWN DI TIONGKOK(Studi Empiris pada Indeks Saham Syariah Indonesia, Malaysia, dan Tiongkok dalam Periode 2007-2016)
2017Co-Authors: M Andika Jawara Pratama, Harjum MuharamAbstract:This study aims to investigate the existence of the islamic stock markets integration among Asian countries and the Contagion Effect caused by the economic slowdown in China. The three islamic stock markets are chosen as the research variabels represented by the islamic stock price index of Morgan Stanley Capital International, which are the Indonesian islamic stock market (MIID), Malaysia Islamic stock market (MIMY), and China Islamic Stock Market (MICN). Subsequently, the data model used is time series data, while purposive sampling approach is the chosen method of determining the samples. The samples of this study are the daily closing price of islamic stock index in Indonesia (MIID), Malaysia (MIMY), and China (MICN) in the time interval from August 30, 2007, to September 1, 2016. That interval is further divided into two periods, the pre-shock/tranquil period (August 30, 2007 - June 11, 2015) and the period when the shock occured/turmoil period (June 12, 2015 - September 1, 2016). The division of interval is aimed to measure the Contagion Effect as well as differentiate the level of integration and causality relationships among the islamic stock markets in the time before and during the shock. Furthermore, there are 2351 observed data used in this study. To process those data, the EViews 9 econometrics software is used as the analytical tool, while Johansen Cointegration test, Vector Error Correction Model (VECM), Granger Causality test, Impulse Response Function, and Variance Decomposition analysis are used as the research methods. The results of this study showed that in both periods, which are pre-shock period and turmoil period, the islamic stock market of the three countries are integrated with each other. However, there is no evidence of Contagion Effect during the economic slowdown in China. In addition, there is a bidirectional causality relationship between the Malaysia and China islamic stock markets.
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Co-Integration dan Contagion Effect antara Pasar Saham Syariah di Indonesia,Malaysia, Eropa dan Amerika saat terjadinya krisis Yunani
Jurnal Dinamika Manajemen, 2015Co-Authors: Tara Ninta Ikrima, Harjum MuharamAbstract:Penelitian ini bertujuan untuk menganalisis dampak krisis di Yunani terhadap pergerakan harga saham syariah di Indonesia, Malaysia, Amerika Serikat, dan Eropa. Selain itu, penelitian ini juga menganalisis co-integrasi dan efek penularan (Contagion Effect) yang terjadi selama periode ini. Penelitian ini dilakukan karena ada perbedaan antara hasil penelitian tentang US Subprime Mortgage periode krisis tentang dampak pasar saham syariah. Penelitian ini menggunakan VAR (Vector Auto Regressive) dan VECM (Vector Error Correction Model) untuk menguji hipotesis dengan EViews 6 digunakan sebagai alat analisis statistik. Data yang digunakan dalam penelitian ini adalah indeks harga saham penutupan mingguan yang diambil dari perwakilan pasar saham syariah masing-masing negara, JII untuk Indonesia, DJIMY untuk Malaysia, DJIM US, dan MSCI untuk Eropa. Hasilnya menunjukkan bahwa Krisis Yunani tidak memiliki pengaruh terhadap pergerakan harga saham Islam di AS, Malaysia, Indonesia, dan Eropa. Namun ada co-integrasi dan penularan berpengaruh terhadap harga saham Islam di empat wilayah saat krisis Yunani itu terjadi. The objective of the study was to analyze the Greece’s crisis impacts toward the movement of Islamic stock prices in Indonesia, Malaysia, USA, and Europe. Moreover, this study also analyzed co-integration and Contagion Effect which occurred during the period. VAR (Vector Auto Regressive) and VECM (Vector Error Correction Model) with eviews 6 were used to test the hypothesis as the statistical analysis tools. The data of this study were the weekly closing stock price indices taken from the representatives of Islamic stock markets of each country; JII in Indonesia, DJIMY in Malaysia, DJIM in USA, and MSCI in Europe. The result showed that the Greece’s crisis did not give any influence toward the movement of Islamic stock prices in USA, Malaysia, Indonesia, and Europe. However; there were co-integration and Contagion Effect which influenced on Islamic stock prices in those four regions at Greece’s crisis time.
Wu Zhan - One of the best experts on this subject based on the ideXlab platform.
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When in Rome! Complaint Contagion Effect in multi-actor service ecosystems
Journal of Business Research, 2020Co-Authors: Ke Chen, Jianxun Chen, Wu Zhan, Piyush SharmaAbstract:Abstract This paper explores the process by which other customers’ complaint behavior influences the focal customers’ complaint intentions in response to a service failure affecting multiple customers. The authors use social information processing theory to argue that the other customers’ complaint behavior has a positive Effect on the focal customers’ complaint intentions, which they refer to as ‘complaint Contagion Effect’. Next, they posit mediating role of anger and moderating Effects of social identification with other customers, perceived credibility of the other customers, and the focal customers’ prior relationship with the service provider in this process. Four experiments confirm the presence of complaint Contagion Effect and show that the complaint Contagion Effect is stronger for focal customers with high social identification with others, high perceived credibility of other customers and weak prior relationship of focal customers with the service providers.
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When in Rome! Complaint Contagion Effect in multi-actor service ecosystems
'Elsevier BV', 2020Co-Authors: Ke Chen, Wu Zhan, Chen Jianxun, Sharma PiyushAbstract:© 2020 Elsevier Inc. This paper explores the process by which other customers’ complaint behavior influences the focal customers’ complaint intentions in response to a service failure affecting multiple customers. The authors use social information processing theory to argue that the other customers’ complaint behavior has a positive Effect on the focal customers’ complaint intentions, which they refer to as ‘complaint Contagion Effect’. Next, they posit mediating role of anger and moderating Effects of social identification with other customers, perceived credibility of the other customers, and the focal customers’ prior relationship with the service provider in this process. Four experiments confirm the presence of complaint Contagion Effect and show that the complaint Contagion Effect is stronger for focal customers with high social identification with others, high perceived credibility of other customers and weak prior relationship of focal customers with the service providers
Jianxun Chen - One of the best experts on this subject based on the ideXlab platform.
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When in Rome! Complaint Contagion Effect in multi-actor service ecosystems
Journal of Business Research, 2020Co-Authors: Ke Chen, Jianxun Chen, Wu Zhan, Piyush SharmaAbstract:Abstract This paper explores the process by which other customers’ complaint behavior influences the focal customers’ complaint intentions in response to a service failure affecting multiple customers. The authors use social information processing theory to argue that the other customers’ complaint behavior has a positive Effect on the focal customers’ complaint intentions, which they refer to as ‘complaint Contagion Effect’. Next, they posit mediating role of anger and moderating Effects of social identification with other customers, perceived credibility of the other customers, and the focal customers’ prior relationship with the service provider in this process. Four experiments confirm the presence of complaint Contagion Effect and show that the complaint Contagion Effect is stronger for focal customers with high social identification with others, high perceived credibility of other customers and weak prior relationship of focal customers with the service providers.