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This paper aims to draw lessons for telecommunications (telecom) network deployment in India, from a study of policy and regulatory approaches taken by other federal administrations in streamlining processes for site clearances, grant of rights of way (RoW) and approvals for local infrastructure deployment and sharing. With the urgent need for setting up small cells and rapid fiberisation of networks in the 5G era, the importance of such processes has gained prominence.

The authors adopt qualitative thematic content analysis with three-tier coding and classification to identify themes in archival and current documentary data and information obtained from subject-matter experts in the countries studied.

Formulation and implementation of telecom policy is led by national governments. However, national telecom administrations, in recognition of new needs, have co-opted states and local authorities as partners in development of telecom networks, providing the overall framework, guidance and appropriate incentives where required.

This cooperative model could work well in India, where telecom policy making and regulation is the prerogative of the central government, but administration of RoW and local clearances for cable laying, tower siting and associated infrastructure activities for expanding telecom networks are left to decentralised decision-making in the states and local bodies.

This research attempts to sytematise, thematise and draw cross-country comparisons to inform regulatory and administrative policy for 5G infrastructure rollout in India.

This study aims to explore the telecom regulations and telecom reforms of different countries in the context of consumer complaints and grievance handling. The telecom dispute resolution mechanisms of countries such as Australia, the USA, the UK and India are studied. This qualitative research is carried out for the three major telecom markets: Australia, the USA and India.

Here, research is conducted in two stages. In the first stage, the telecom policies of the major telecom markets, their ombudsman policies and consumer grievance redressal mechanisms are studied. In the second stage, the qualitative analysis of the three telecom markets, Australia, the USA and India, is conducted through in-depth interviews, the questionnaire method for telecom customers and secondary research.

Telecom customer satisfaction is significantly higher in countries with the telecom ombudsman as a system of telecom governance redressal. This study dedicates significant importance to the distinctiveness of the grievance resolution systems in different countries and suggests recommendations for improving the mechanisms. The recommendations given in the research study emerge as the output of interviewing telecom experts, academicians and researchers and court judges.

This study has partial limitations as primary research was carried out only in selected countries with limited participants.

This study is useful for policymakers, regulators and think tanks in the telecommunications sector.

The resolution of individual customer grievances is significant to the telecom industry and all participants. A well-oiled grievance redressal system enhances the trust among the service users and aids in the industry’s growth. Further practical assessment of redressal offered by different telecom operators can be used for benchmarking, and it can create an onus on telecom operators for timely and adequate redressal of consumer complaints. In certain countries with a well-developed alternate dispute resolution (ADR) mechanism, the service offerings of telecom operators and the quality of services are deemed to be better than those without such an ADR. The research aims to bring in the positives of ADR systems from specific telecom markets and suggest the effectiveness of such ADR for countries such as India, which has over 1.17billion active subscribers. This research aims to aid responsive communication with telecom consumers in the overall telecom industry, which can bolster telecom consumers’ confidence and help the industry grow sustainably. Discussing perspectives on telecom dispute resolution in various conferences and discussing use-cases of innovative dispute settlements can act as stimuli in this space. As ADR procedures are conducted in the shadow of the law, a dispute resolution framework must have a buy-in from the government, telecom experts, the judiciary and private telecom stakeholders. This can only help achieve a framework that can reap the benefits of various ADR/ODR processes facilitating better access to justice, including cost-effectiveness, swiftness, a broader reach for dispute resolution and improved efficiency of dispute resolution.

Previous studies have focused on the study of telecom reforms and mechanisms in a particular country and there was a limited comparison with other countries’ mechanisms. Also, there has been minimal research in this area in recent years. This paper contributes to analyzing the effectiveness of the telecom ombudsman framework in Australia, the USA, the UK and India. It also studies the reforms and consumer grievance-handling mechanisms in a few other countries. It also gives well-researched recommendations for improving the consumer grievance resolution system.

This study aims to understand the challenges of 5G deployment in India from the perspectives of telecom operators. These challenges are also mapped to different contexts within the technological-organizational-environmental (TOE) framework.

The study uses a qualitative approach comprising in-depth semi-structured interviews of employees working in telecom companies in India. Thematic analysis is used to analyse the qualitative data.

The author has identified nine challenges that are categorized under three dimensions of the TOE framework. Specifically, the findings indicate three technological challenges: hardware/device challenges, security concerns and limited use cases; two organization challenges: financial challenges and lack of skilled workforce; and four environmental challenges: inadequate infrastructure, regulatory and administrative challenges, consumers’ attitudes and competitive market conditions.

The results of this study would help understand the key factors that can act as barriers to the 5G rollout in India. Based on the findings of the study, the government and regulatory bodies could design conducive policies and regulatory frameworks to successfully deploy 5G in India.

The study is one of the very few studies to empirically examine the telecom operators’ perspectives on the challenges of 5G deployment in India. The study contributes to the TOE framework as its application in the context of identifying barriers to 5G deployment is probably for the first time.

This study aims to assess how corporate telecommunication (telecom) policies follow telecom sector regulation in mobile money innovation for financial inclusion in developing countries.

Telecom policies are understood in terms of mobile subscriptions, mobile connectivity coverage and mobile connectivity performance, whereas mobile money innovations represent mobile money accounts, the mobile used to send money and the mobile used to receive money. The empirical evidence is based on Tobit regressions.

Telecom sector regulation positively influences mobile money innovations. From net influences, mobile subscriptions and connectivity policies moderate telecom sector regulation to positively influence mobile money innovations, exclusively within the remit of mobile money accounts because the corresponding net influences on the mobile used to send money and the mobile used to receive money are negative. The interactive influences are consistently negative, and hence, thresholds for complementary policies are provided to maintain the positive influence of telecom sector regulation on mobile money innovations.

This study has complemented the extant literature by assessing how corporate telecommunication policies follow telecommunication sector regulation in mobile money innovations for financial inclusion.

The purpose of this paper is to identify the potential barriers of telecom services and develop relationships among them using interpretive structural modeling (ISM) in the Indian telecom sector. Further, this paper intends to find the driving and dependence powers of telecom barriers, using MICMAC (Matriced' Impacts Croise′s Multiplication Applique′ea′un Classement) analysis.

A group of experts from telecom sector and academia was consulted and the ISM was used to develop the contextual relationship among identified barriers of telecom services. The results of ISM are used as an input to MICMAC analysis, to further classify identified barriers based on their driving and dependence powers.

This paper has identified 11 barriers of telecom services from the literature review and opinion of experts, and a contextual relationship model was developed using the ISM technique. The paper further studied barriers based on their driving and dependence powers using MICMAC analysis that classifies them into four clusters. The results identified the barriers such as “lack of adequate investment in infrastructure expansion”, “interference of private operators”, “legal and regulatory issues”, “lack of maintenance culture” and “lack of financial resources and high cost” as strategic-level barriers that, if dealt with carefully, can help overcome the effect of other barriers preventing the effective performance of the Indian telecom sector.

Although, there are a number of barriers that affect the performance of telecom services, existing theories, models and frameworks have focused on identification of factors, their implementation and benefits, and thus, these theories lack a holistic view in understanding those barriers which hinder the performance of the telecom sector. Top-managers and policymakers need to be more concerned about these barriers so that the performance of the Indian telecom sector could be improved.

A thorough literature review has revealed that no such study has been undertaken that provides any clear understanding of the barriers of telecom services, linkages between them and hierarchical relationships among the barriers.

During the recent past there have been two successive and successful takeovers of Telecom Italia, in both cases by other Italian companies and employing the device of “Chinese boxes” to secure control without the need either to hold a majority stake in the acquired company or to pay much regard to the interests of minority shareholders. This raises into question the extent to which “Anglo‐Saxon” attitudes in financial markets are making inroads in continental Europe; the willingness of continental European governments to permit foreigners to acquire control of the “commanding heights” of their economies; and the manner in which the European telecommunications sector is being restructured.

The purpose of this paper is to provide a brief introduction to the telecommunication reform process in Europe, its status, and upcoming policy issues. Furthermore, it also aims to provide an overview of the papers in this special issue.

The paper provides an introduction to the telecom reform process based on previous research and the papers in this issue of info.

The introduction argues that the European telecommunication reform process with the telecommunications green paper of 1987 as an important point of departure has been a success in many ways. It has, for example, facilitated the development of mobile, of the internet and its many applications, and considerably lowered prices. However, there are important areas where a single European market has not developed. Moreover, new challenges are rising in terms of upcoming reconfigurations of the whole information communications technology (ICT) area requiring new policy and regulatory answers.

The paper provides a brief introduction to the European telecommunication reform process, its achievements, present challenges, and the policy responses of the European Union. In addition, an overview of the papers of this issue of info is provided.

This paper aims to understand and identify the various barriers in adopting new telecom services in rural areas for improving the penetration and revenue of the telecom companies. These barriers are modeled to study their inter-relationships and prioritize them for strategizing appropriate management action plans.

Delphi technique has been used to form a consensus with the telecom managers working in rural areas to finalize the barriers. An integrated Interpretive Structural Modeling–Analytic Network Process (ISM–ANP) approach has been adopted to establish the complex relationships, cluster the relationships, to understand and prioritize the telecom service adoption barriers.

The major contribution of this research is imposing directions and dominance of various barriers to promote better adoption of new telecom-based mobile services in rural areas. The proposed integrated method can aid in decision making by providing more informative, accurate and a better choice than using either ISM or ANP in isolation.

The generalizabilty of these research findings is limited, as it was generated specific to rural telecom service adoption barriers in Indian context. Because decision-making problems are usually complex and ill-structured, every decision is based on the decision-maker’s expertise, preferences and biasness of the experts who showed their interest to participate in the research.

This paper forms the basis of identifying the reasons for poor adoption of telecom-based mobile services in rural India. This study would help the telecom companies and the managers to understand and develop strategies to target the rural audience by introducing action plans and innovative mobile services to overcome the identified barriers. By applying the proposed methodology, telecom companies can classify and prioritize their action plans as short-, medium- and long-term plans to systematically overcome the identified barriers.

This paper provides a base for understanding various factors that affect the adoption of telecom-based mobile services. It demonstrates the use of an innovative approach to develop an integrated model to understand the barriers.

Examines the restructuring of Hong Kong Telecom Ltd with respect to its two subsidiaries: Hong Kong Telecommunication International Ltd and Hong Kong Telephone Company Ltd. The process and impact of this restructuring is discussed. Investigates particularly the impact of internal and external factors such as functional structure, government regulations, customers, potential competitors and labour unions.

A good decision support system for credit scoring enables telecom operators to measure the subscribers' creditworthiness in a fine-grained manner. This paper aims to propose a robust credit scoring system by leveraging latent information embedded in the telecom subscriber relation network based on multi-source data sources, including telecom inner data, online app usage, and offline consumption footprint.

Rooting from network science, the relation network model and singular value decomposition are integrated to infer different subscriber subgroups. Employing the results of network inference, the paper proposed a network-aware credit scoring system to predict the continuous credit scores by implementing several state-of-art techniques, i.e. multivariate linear regression, random forest regression, support vector regression, multilayer perceptron, and a deep learning algorithm. The authors use a data set consisting of 926 users of a Chinese major telecom operator within one month of 2018 to verify the proposed approach.

The distribution of telecom subscriber relation network follows a power-law function instead of the Gaussian function previously thought. This network-aware inference divides the subscriber population into a connected subgroup and a discrete subgroup. Besides, the findings demonstrate that the network-aware decision support system achieves better and more accurate prediction performance. In particular, the results show that our approach considering stochastic equivalence reveals that the forecasting error of the connected-subgroup model is significantly reduced by 7.89–25.64% as compared to the benchmark. Deep learning performs the best which might indicate that a non-linear relationship exists between telecom subscribers' credit scores and their multi-channel behaviours.

This paper contributes to the existing literature on business intelligence analytics and continuous credit scoring by incorporating latent information of the relation network and external information from multi-source data (e.g. online app usage and offline consumption footprint). Also, the authors have proposed a power-law distribution-based network-aware decision support system to reinforce the prediction performance of individual telecom subscribers' credit scoring for the telecom marketing domain.