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This paper aims to conduct an interdisciplinary systematic literature review (SLR) of fake news research and to advance the socio-technical understanding of digital information practices and platforms in business and management studies.

The paper applies a focused, SLR method to analyze articles on fake news in business and management journals from 2010 to 2020.

The paper analyzes the definition, theoretical frameworks, methods and research gaps of fake news in the business and management domains. It also identifies some promising research opportunities for future scholars.

The paper offers practical implications for various stakeholders who are affected by or involved in fake news dissemination, such as brands, consumers and policymakers. It provides recommendations to cope with the challenges and risks of fake news.

The paper discusses the social consequences and future threats of fake news, especially in relation to social networking and social media. It calls for more awareness and responsibility from online communities to prevent and combat fake news.

The paper contributes to the literature on information management by showing the importance and consequences of fake news sharing for societies. It is among the frontier systematic reviews in the field that covers studies from different disciplines and focuses on business and management studies.

The main purpose of the present study was to improve and develop previously proposed models for Iran telecommunication networks. It should be noted that the six-dimensional (6D) sustainability model used in this study will be a useful and comprehensive model for industries. Since, the new dimension of IT along with the five well-known economic, social, environmental, technical and institutional aspects of organizations is considered to have great impacts on supply chain sustainability; the proposed framework can be practical.

According to the related literature review, there are two research streams in supply chain management. The first stream is exploratory research, seeking out conceptual discussions in this area. The second one is associated with mathematical models and techniques, aiming to set decision-making rules in this regard (Agrell et al., 2004). In this study, evaluation was performed using the FMEA method as an analytical technique based on the principle of pre-occurrence prevention to identify potential failure factors in sensitive systems (Mohammadfam and Kianfari, 2008).

After identifying the risks and causes of the incidence and effects and consequences of risks, preventive and risk control measures and advisory strategies were presented. Customers with 45.76% share in critical risks are threatening to maintain supply chain in these companies. During this study, it was found that 33.9% of the main source of supply chain critical risks was customers, constituting 45.76% of such risks, accompanied by organization, having a 38.88% share of critical risk generation. The study findings also revealed that 33.9% of critical risks were mainly (equally) related to economic and technical aspects of supply chain sustainability in telecommunication networks. Moreover, as a newly-introduced sixth dimension, IT represented 10.17% of critical risks threatening supply chain sustainability in such networks. Critical risks are mainly related to the economic and technical aspects (equally) with the sustainability of the telecommunication networks supply chain. Also, as a new finding and the sixth dimension, 10.17% of the critical risks that threaten the sustainability of the telecommunication networks supply chain have the information technology dimension.

The internet and fixed and mobile data services are provided by several private companies in Iran, which are relatively similar in terms of their supply chains. In order to manage the sustainability of Iran's telecommunication supply chain, telecommunication networks affiliated to Iran Telecommunication Company (ITC), operating in the field of data and internet services and fixed telephone were selected in 31 provinces. The intended networks were also providing an important part of the country's needs including Mobile Telecommunication Company of Iran, a subsidiary of Iran's telecommunication networks, as one of the top companies in this industry. Accordingly, all the networks studied in this study needed to be identified with regard to communication sustainability risks, since they provide management solutions to each other by segregating risks. In this study, 68 managers and 72 experts participated in different work teams of telecommunication networks.

The purpose of the study was to examine the effect of corporate social responsibility (CSR) and marketing capability on consumer behavioral responses in the mobile telecommunication industry in Ghana. Particularly, the study estimated the moderating effect of marketing capability on the relationship between CSR and consumer behavioral responses.

Both customers and employees of three major mobile telecommunication companies were sampled for this work. A mixed linear regression technique was used to examine the relationship between corporate responsibility, marketing capability and customer behavioral responses.

The empirical results revealed that marketing capabilities moderate the relationship between CSR and consumer responses in the telecommunication industry.

The study proposes practical dimensions to the mobile telecommunication companies that the extensive development of strong marketing capabilities serves a conduit for CSR to achieve favorable consumer responses.

The results have opened up rather a limitation studies on the moderation role marketing capabilities in relationship between CSR and consumer behavioral responses in the telecommunication industry.

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.

The purpose of this paper is to provide evidence-based policy recommendations for improving the implementation of universal service funds (USF) with a view to closing the digital divide in Africa.

The paper adopts a qualitative approach that draws examples from various African countries supported by 25 interviews from key stakeholders with hands-on experience and roles that shape telecommunications policy in Africa and other developing countries.

The study's findings point out that institutional voids which characterize several African countries inhibit the effectiveness of USF in African countries. The authors identify several institutional and organisational factors and explain how they negatively affect the performance of USF. The authors find that in order to overcome these obstacles, there is a need for a clear redefinition of Universal Access and Service (UAS) policies, restructuring the governance of USF, encouraging cross-sectoral collaborations, and bottom-up initiatives to bridge the digital divide in African countries.

The paper contributes to the underexplored USF literature by shedding light on the role of institutional factors in determining the success of USF. The paper thus complements and provides a different perspective on promoting digital inclusion in Africa from the viewpoint of institutional voids, bringing new insights into the existing literature on how to deal with an intractable area of UAS policy and the wider digital divide debate in developing countries.

This case study aims to analyse the different factors that cause a decline in an organisation's performance. It projects data for the prospective case readers to explore the possible approaches for the Chairman-cum-Managing Director (CMD) of Mahanagar Telephone Nigam Limited (MTNL) and Bharat Sanchar Nigam Limited (BSNL) to turnaround both the organisations. Furthermore, the case compels the readers to study the Indian Telecom industry to analyse the competitive behaviour and the consequent actions necessary to survive and thrive amongst their peers. From the theoretical perspective, the case emphasises the recent change observed in the Telecom industry regarding the transition from value-chain to value-network.

The authors collected the case facts and data for the case study from secondary sources like the latest news articles, the CRISIL database, company annual statements, company press releases and government regulatory body web portals.

The case study has identified the issues pertinent in the public sector companies in India, especially in the telecom sector, concerning leadership, pending government financial commitments and a slow-moving attitude towards taking action.

The case study highlights the management problems faced by the CMD of the two public sector telecom companies i.e. BSNL and MTNL.

The COVID-19 pandemic has disrupted the ‘real’ world and substantially impacted the virtual world and thus the Internet ecosystem. It has caused a significant exogenous shock that offers a wealth of natural experiments and produced new data about broadband, clouds, and the Internet in times of crisis. In this chapter, we characterise and evaluate the evolving impact of the global COVID-19 crisis on traffic patterns and loads and the impact of those on Internet performance from multiple perspectives. While we place a particular focus on deriving insights into how we can better respond to crises and better plan for the post-COVID-19 ‘new normal’, we analyse the impact on and the responses by different actors of the Internet ecosystem across different jurisdictions. With a focus on the USA and Europe, we examine the responses of both public and private actors, with the latter including content and cloud providers, content delivery networks, and Internet service providers (ISPs). This chapter makes two contributions: first, we derive lessons learned for a future post-COVID-19 world to inform non-networking spheres and policy-making; second, the insights gained assist the networking community in better planning for the future.

Due to the continuous and rapid evolution of telecommunication equipment, the demand for more efficient and noise-robust detection of dual-tone multi-frequency (DTMF) signals is most significant.

A novel machine learning-based approach to detect DTMF tones affected by noise, frequency and time variations by employing the k-nearest neighbour (KNN) algorithm is proposed. The features required for training the proposed KNN classifier are extracted using Goertzel's algorithm that estimates the absolute discrete Fourier transform (DFT) coefficient values for the fundamental DTMF frequencies with or without considering their second harmonic frequencies. The proposed KNN classifier model is configured in four different manners which differ in being trained with or without augmented data, as well as, with or without the inclusion of second harmonic frequency DFT coefficient values as features.

It is found that the model which is trained using the augmented data set and additionally includes the absolute DFT values of the second harmonic frequency values for the eight fundamental DTMF frequencies as the features, achieved the best performance with a macro classification F1 score of 0.980835, a five-fold stratified cross-validation accuracy of 98.47% and test data set detection accuracy of 98.1053%.

The generated DTMF signal has been classified and detected using the proposed KNN classifier which utilizes the DFT coefficient along with second harmonic frequencies for better classification. Additionally, the proposed KNN classifier has been compared with existing models to ascertain its superiority and proclaim its state-of-the-art performance.

Advantage of its geologic location lying at the heart of Central Asia with a large internal market of 27 million people and easy access to CIS market of over 142 million people enables Uzbekistan to form the hub of the region. Its transport and communications networks are connected with the other Central Asian countries. FIEZ in Navoi would be the representative model in CIS and be built on the best practice of next generation model as special national economic zones. Considering that the most of modern business is made through the web connection basis even for the flight management, cargo trace and other controls and operations, the importance of web connection should be stable, reliable and affordable for tenants and business entities at the FIEZ in Navoi. In these regards, cooperation work of both countries to study more details mentioned in this paper as well as other applicable models from Korean Free Economic Zone cases for the full picture of execution and promotion of the FIEZ in Navoi, Uzbekistan is considered.

The purpose of this paper is to explain how an organization can achieve successful change implementation with Kotter’s eight-step organizational change model and 3-H (heart–head–hand) theory.

With the case study approach, the author recollects his career experience in Hong Kong Broadband Network Limited from 2007 to 2011 to find out why and how the top management can balance 3-H factor to bridge the “knowing” and “doing” gap to engage right talents and motivate them to achieve peak performance and company goal.

To create talent culture, the company implemented two policies including Mini-CEO management and Talent Engagement Department. The former is a vertical management model to empower and enable department heads. The latter is a way to change the role of human resources department from passive to proactive.

The implications of this case study are to encourage public and private organizations to rethink the factors including talent development and empowerment that can have a positive impact on innovative work behavior. Moreover, organizations can rediscover the value of “unique” talent culture as a sustainable competitive advantage.