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The purpose of this paper is to enlighten the intriguing process of industry asset consolidation. It is critical for firms to manage their business acquisitions strategically for survival in this industry life cycle process, which develops through multiple company mergers. The companies extensively acquiring industry assets have utilized acquisition programs consisting of both pre-acquisition strategizing and post-acquisition integration; however, the existing literature on acquisition programs focuses on post-acquisition integration activities. This study aims to bridge this gap.

This study focuses on pre-acquisition strategizing of acquisition programs and proposes a model in which an acquiring company could manage its acquisitions for industry asset consolidation over the industry evolution.

Empirically, in the multi-case study of telecommunications infrastructure companies, the authors collect an extensive set of archival records accumulated over the whole industry life-cycle, spanning more than 30 years, and they apply a qualitative data analysis to reveal strategic actions within the companies.

The discoveries elaborate on activities comprising the acquisition process model: social legitimacy, strategic alignment, resource fulfillment, consolidation pursuit and merging.

The counterintuitive findings are that the companies strived to ensure legitimacy early in the telecommunication infrastructure markets before they reached strategic alignment with their owners.

The results extend the understanding of industry asset consolidation as an organization-level phenomenon and show how contextual factors connected to industry life-cycle phases, such as regulatory regimes and financial cycles and industry evolution, influence the attributions of an acquisition program.

The purpose of this study is to place the antecedents and consequences of brand hate in the context of negative consumer–brand relationship in the telecommunication industry. It provides a response to the existing gap in the research on brand hate in consumer behavior in service brands.

A survey-based data was modeled after theory that aims to apply concepts to the telecommunications industry. With a solid model grounded and context-adapted, a mediation analysis of the role of brand hate in negative antecedents and consequences toward brands was performed.

Brand hate was found to mediate all the negative relationships proposed, while showing to be especially significant in mediating negative word of mouth. This model appropriately fits the services' marketing brand and revealed new insights into the function of brand hate in negative relationships that are specific to service marketing consumer brands.

Branding theory may benefit from deeper insights into the negative side of consumer–brand relationships. A broader illustration of its constituents in different industries and the recovery of the management approach to these circumstances bring innovation and a richer understanding, specially to the role of brand hate in the mediation context as seen in the literature (Hegner et al., 2017; Zarantonello et al., 2016)

Managerial implications include assessing brands in analyzing and relating to different emotions and concepts from customers, allowing to prioritize and mapping the customer relationship touchpoints.

The present study presents a first insight of brand hate in the context of the service industry of telecommunications in southern Europe while testing brand hate as a mediator involving negative predictors leading to negative outcomes in consumer–brand relationships.

This study aims to investigate the factors that influence South African customers to potentially switch from one bank to another. Instead of using established models and survey techniques, the research measured social media sentiment to measure threats to switch.

The research involved a 12-month analysis of social media sentiment, specifically customer threats to switch banks (churn). These threats were then analysed for co-occurring themes to provide data on the reasons customers were making these threats. The study used over 1.7 million social media posts and focused on all five major South African retail banks (essentially the entire sector).

This study concluded that seven factors are most significant in understanding the underlying causes of churn. These are turnaround time, accusations of unethical behaviour, billing or payments, telephonic interactions, branches or stores, fraud or scams and unresponsiveness.

This study is unique in its measurement of unsolicited social media sentiment as opposed to most churn-related research that uses survey- or customer-data-based methods. In addition, this study observed the sentiment of customers from all major retail banks across 12 months. To date, no studies on retail bank churn theory have provided such an extensive perspective. The findings contribute to Susan Keaveney’s churn theory and provide a new measurement of switching threat through social media sentiment analysis.

Many governments wishing to provide telecommunication services to those who are unconnected have chosen the Universal Service Fund (USF) as the principal policy instrument. However, there is evidence that monies directly or indirectly collected from users of telecommunication services are lying unspent in these funds. The purpose of this paper is to propose metrics for measuring the disbursement efficacy of funds across time and across countries as an essential element of improving the performance of the universal service funds.

This paper proposes two metrics, the total disbursement rate (TDR) and the year-on-year disbursement rate (YDR), which can be used to assess the disbursement efficacy of universal service programs. It illustrates the value of the metrics by applying them to the USFs of India, Malaysia and Pakistan.

A move to push out funds has been observed in India in recent years. Pakistan had not reached the same momentum up to mid-2014. An improvement in Malaysia’s disbursement efficacy was observed until 2013, with nearly all of the funds collected in the previous year being disbursed. A significant proportion of the funds collected are lying unspent in the three USFs, nevertheless.

The proposed metrics are robust, objective and parsimonious indicators that allow comparison over time and across countries. They will enable productive, evidence-based conversations that will hold fund administrators accountable and will inform the design and implementation of more effective policy mechanisms.

The growing availability of wireless internet services and the great popularization of smartphones and other mobile devices means a greater challenge for mobile service companies that need to identify the factors influencing the use behavior of mobile services. So considering that the level of consumer involvement can lead to differences in service outcome evaluations, this study aims to examine whether consumer involvement with information and communication technologies (ICTs) has a moderating influence on consumer behavior in mobile services

The authors propose an integrative model of the usage of mobile services to examine the moderating role of involvement with ICTs. Drawing on a sample of 493 users, two levels of involvement with ICTs were examined; and data were analyzed through multiple-group structural equation modeling.

Findings show that the level of consumer involvement with ICTs influences the behavior in the mobile services. Further, the findings support that mobile services’ perceived quality, followed by the service perceived value are the factors with a stronger influence in satisfaction with mobile services, regardless the level of consumer involvement with ICTs. However, the mobile company corporate image has a lower influence. In addition, the results support the partial moderating role of involvement with ICTs in the loyalty toward mobile service providers, suggesting that consumers lowly involved with ICTs experience a greater impact of the service quality on their loyalty.

The main contribution of this study is the examination of the influence of involvement with technologies in consumer behavior in the mobile services

La disponibilidad creciente de los servicios internet inalámbrico y la gran popularización y adopción de los smartphones y de otros dispositivos móviles supone un gran desafío para las compañías de servicios móviles que necesitan identificar aquellos factores que influyen en el comportamiento de uso de los servicios móviles. Así, considerando que el nivel de implicación del consumidor puede llevar a diferencias en las evaluaciones de los resultados de los servicios, este estudio analiza si la implicación del consumidor con las tecnologías de la información y la comunicación (TICs) tiene una influencia moderadora en el comportamiento del consumidor en los servicios móviles.

Se propone un modelo integrador sobre el uso de los servicios móviles para examinar el rol moderador de la implicación del consumidor con las TICs. Sobre la base de una muestra de 493 usuarios, se analizaron dos niveles de implicación con las TICs; y los datos fueron analizados mediante un modelo multigrupo de ecuaciones estructurales.

Los resultados muestran que el nivel de implicación del consumidor con las TIC influye en su comportamiento hacia los servicios móviles. Además, nuestros resultados respaldan que la calidad percibida de los servicios móviles, seguida del valor percibido de estos servicios son los factores con mayor influencia en la satisfacción con los servicios móviles, independientemente del nivel de implicación del consumidor con las TIC. Sin embargo, la imagen corporativa de la compañía de servicios móviles tiene una influencia menor. Adicionalmente, nuestros resultados muestran el rol moderador parcial de la implicación con las TIC en la lealtad hacia los proveedores de servicios móviles, sugiriendo que los consumidores poco implicados con las TIC experimentan un mayor impacto de la calidad del servicio en su lealtad.

La principal contribución de este estudio es el análisis de la influencia de la implicación del consumidor con las tecnologías, en su comportamiento hacia los servicios de comunicación móvil.

This study aims to investigate customers’ churning out of Internet Protocol Television (IPTV) service, one of the most prevalent forms of IT convergence.

Based on the review of current literature, a research model is introduced to depict the effects of select independent variables on customer churning behavior. First of all, the two groups are compared in terms of predictor variables, including switching barriers, voice of customer (VOC), membership period and degree of contents usage. Then, a curvilinear regression was applied to understand the association relationship between the level of IPTV contents usage and variables of switching barriers, VOC and membership period. Third, a logit regression was performed to predict customer churning through the variables of switching barriers, VOC, membership period and level of IPTV contents usage.

Through the empirical analysis, this study analyzed the factors affecting customer churning behavior of IPTV service providers based on switching barriers, VOC and contents usage.

Although several studies on IPTV have been undertaken globally, they have largely depended on self-reporting surveys to examine dynamics between antecedent variables and IPTV performance in terms of customer satisfaction, usage intension and customer retention. This empirical study is performed to understand influential factors of IPTV service defection through the weblog analysis of 3,906 service users, who represented both service defectors and non-defectors during a specific month.

The purpose of this paper is to determine the role of service quality (SQ), trust and commitment to customer loyalty (CL) for telecom service users. Further, the moderating role of gender, marital status and connection type within the model was tested.

A measurement model was created based on valid 615 responses from Indian TSUs for SQ, trust, commitment and loyalty with the help of partial least squares structural equation modeling (PLS-SEM). Multi-group analysis (MGA) was conducted to understand the moderating effect of marital status, gender and connection type within the model.

The results suggest that, out of five dimensions of SQ, only responsiveness, assurance and empathy have a significant positive relationship with both commitment and trust. Tangibility has a significant positive relationship with trust only. Both commitment and trust have a significant impact on loyalty. It was noticed that both commitment and trust act as mediators between three SQ dimensions (assurance, empathy and responsiveness) and CL. MGA revealed that empathy and responsiveness positively induce trust in telecom users who are single. Whereas, assurance increases commitment toward telecom service providers in married users. Assurance and empathy significantly contribute toward commitment and trust, respectively, in male users as compared to females. Empathy was found important for postpaid users for trust-building, whereas trust was found to be more important for prepaid users to stay loyal to the service provider.

This article contributes toward understanding the role of SQ, trust and commitment to CL moderated by marital status, gender and connection type in an integrated model concerning telecom service.

Longitudinal studies have shown that consumer satisfaction has increased over the last 15 years, whereas trust and loyalty have decreased during the same period. This finding contradicts the trust–value–loyalty model (TVLM), which posits that higher satisfaction increases consumers' trust, value and loyalty levels. To explain this counterintuitive trend, this study draws on models of trust formation to integrate the stereotype content model and the TVLM. It argues that consumers' occupational and industry stereotypes influence their trust, value and loyalty judgments through their trusting beliefs regarding frontline employees and management practices/policies.

The study was conducted among 476 consumers who were randomly assigned to one of five service industries (apparel retail, airlines, hotels, health insurance or telecommunications services) and asked to rate their current service provider from that industry.

The results suggest that both occupational and industry stereotypes influence consumers' trusting beliefs and trust judgments, although only the effects of industry stereotypes are transferred to consumers' loyalty judgments.

The results of the study indicate that industry stereotypes have become increasingly negative over the last decades, which has a dampening effect on the positive effects of satisfaction.

This study provides guidelines for practitioners regarding the management of frontline employees and the development of consumer trust, value and loyalty.

This is the first study to propose and test an explanation for the counterintuitive trend concerning customer satisfaction, trust and loyalty. It is also the first to examine the roles of multiple stereotypes in the relationship between consumers and service providers.

The Chinese Telecoms Industry has been rapidly growing over the years since 2001. An analysis of financial performance of the three giants in this industry is very important. However, it is difficult to know how many ratios can be used best with little information loss. The paper aims to discuss this issue.

A total of 18 financial ratios were calculated based on the financial statements for three companies, namely, China Mobile, China Unicom and China Telecom for a period of 17 years. A principal component analysis was run to come up with variables with significance value above 0.5 from each component.

At the end, the authors conclude how financial performance can be analysed using 12 ratios instead of the costly analysis of too many ratios that may be complex to interpret. The results also showed that ratios are all related as they come from the same statements, hence, the authors can use a few to represent the rest with limited loss of information.

This study will help different stakeholders who are interested in the financial performance of each company by giving them a shorter way to analyse performance. It will also assist those who do financial reporting on picking the ratios which matter in reflecting the performance of their companies. The use of PCA gives unbiased ratios that are most significant in assessing performance.

The purpose of the study is to discover clusters or homogenous groups of work-from-home (WFH) Internet subscribers in the Philippines based on the attributes of speed, network quality, customer service, after-sales support, price, contract and value for money. Another objective is to determine if the formed clusters are related to the demographic profile.

A total of 275 internet subscribers from Metro Manila were surveyed. K-means cluster analysis using the Hartigan-Wong algorithm was performed on the data to generate the clusters.

Results generated four significant clusters, which were named service value expecters, average expecters, low expecters and high expecters. Most of the subscribers are under the high expecters, followed by the service value expecters. The age and income of the subscribers are the profile that can affect the formulation of clusters in the Internet service industry. Those people in the younger age groups can be seen as more demanding, while older people tend to be content with the Internet service. Counter-intuitively, people with higher income seem to be more easily satisfied with Internet service features, while those people with lower income seem to be more demanding. Educational attainment and the number of household members do not have a direct effect on the formulation of clusters of Internet subscribers.

This is the first study to use cluster analysis in identifying possible segments of WFH Internet subscribers based on Internet service attributes. Its value is the provision of market segments based on which can be the basis for formulating marketing strategies and policies for the telecommunications industry.