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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 research investigates students’ information-seeking behaviours at the Indian Maritime University (IMU) and assesses the impact of AI chatbots on their marine science knowledge and awareness. The study aims to provide insights into the role of AI-driven solutions in enhancing knowledge sharing and the challenges faced in using AI tools for marine information retrieval.

The study used a stratified random sampling method, encompassing 152 respondents from IMU’s B.Sc. in Nautical Science and B. Tech in Marine Engineering programs. Data collection involved a structured electronic survey questionnaire. The analysis encompassed descriptive statistics using SPSS.

Information needs were met through diverse channels, with 57.9% of respondents using AI-driven chatbots for marine information retrieval. AI significantly recommended research papers (61.8%). The chatbot positively impacted marine science awareness and knowledge, with a mean satisfaction rating of approximately 3.3. Challenges included insufficient access to AI tools, data privacy concerns and accuracy issues.

This study contributes original insights into the information-seeking behaviours of marine students at IMU and the impact of AI chatbots on their knowledge and awareness. It highlights the multifaceted nature of marine information retrieval, the effectiveness of AI-driven solutions in enhancing knowledge sharing and the challenges that need to be addressed for the broader adoption of AI tools in this context.

Managing archives using robots rather than people can considerably enhance efficiency, while need to modify the structure of archive shelves or installation tracks. This paper aims to develop a fully automated archive access robot without modification.

First, a mobile navigation chassis and a motion algorithm based on laser ranging and map matching are created for autonomous movement to any of the archives’ locations. Second, because the existing archives are stacked vertically, the bionic manipulator is made to mimic the movement of manual access to the archives, and it is attached to the robot arm’s end to access different layers of archives. In addition, an industrial camera is used to complete barcode identification of the archives and acquire data on their location and thickness. Finally, the archive bin is created to store archives.

The robot can move, identify and access multiple archival copies placed on floors 1–6 and 2–5 cm thick autonomously without modifying the archival repository or using auxiliary devices.

The robot is currently able to navigate, identify and access files placed on different levels. In the future, the speed of the robot’s navigation and the movement of the robot arm could be even faster, while the level of visualization of the robot could be further improved and made more intelligent.

The archive access robot developed by the authors makes it possible for robots to manage archives instead of human, while being cheaper and easier to deploy than existing robots, and has already been tested in the archive storage room of the State Grid maintenance branch in Jiangsu, China, with better results.

The all-in-one archive access robot can replace existing robotic access solutions, promote intelligent management of the archive industry and the construction of unmanned archive repositories and provide ideas for the development of robots for accessing book-like materials.

This study explores the use of robots to identify and access archives without changing archive shelves or installing auxiliary devices. In this way, the robot can be quickly applied to the storage room to improve the efficiency of archive management.

Progress in agriculture significantly relies on the adoption of innovative farm practices by farmers. Being proactive and risk-taking catalyses this innovativeness. Progressive farmers in general are proving to be effective in developing their farms along entrepreneurial lines. The paper aims to examine the relationship between the entrepreneurial traits of risk-taking, proactiveness, innovativeness and entrepreneurial intention (EI) of progressive farmers in Kashmir.

A quantitative research approach was used to evaluate how innovativeness, risk-taking and proactiveness affect EI. The data was collected from registered progressive farmers using a structured questionnaire via both online and offline means. 203 useable responses were received. The data was then analysed using partial least squares structural equation modelling (PLS-SEM).

The results reveal that progressive farmers' EI is influenced by innovativeness, risk-taking and proactiveness. As hypothesized, a significant and positive relationship was found between entrepreneurial orientation (EO) traits of risk-taking, proactiveness and innovativeness and EI.

The study adds to the existing body of knowledge on agri-entrepreneurship by conceptualizing EO traits influencing EI of progressive farmers and offering insightful advice to policymakers on how to improve progressive farmers' entrepreneurial abilities and in turn convert their EI into agro venture establishment in Kashmir.

This study makes advancements in the field of farming-related EO by examining the EI of progressive farmers. This study covers a knowledge gap as there aren't many empirical studies on agricultural entrepreneurship that concentrate on the EO of progressive farmers and how it influences the EI in general in India and the Kashmir valley in particular.

The cable inspection robot is essential in maintaining bridge cables. The purpose of this paper is to summarize the maintenance methods of bridge cables. It summarizes the advantages and disadvantages of the critical structures of the external overall frame, intermediate adhesion device, attachment mechanism and driving method of the cable inspection robot. Finally, it discusses the challenges the cable inspection robot faces and the direction of future research.

This paper summarizes the research progress of the cable inspection robot and details the advantages and disadvantages of critical structures such as the external frame, intermediate adhesion device, attachment mechanism, driving method and safe return device of the robot. Finally, it points out the future direction of cable inspection robots, including lightweight design, hybrid design, multi-robot cooperative work, multi-technology integration and intelligent cable inspection digital twin model.

The cables are the main load-bearing components of a bridge, and their safety is crucial. However, subjected to varying loads and environmental influences over a long period, cables are prone to damage, threatening the bridge’s stability. Cable inspection robots can comprehensively detect and repair cable damage, significantly improving efficiency and safety.

This paper provides a comprehensive review of the current research on cable inspection robots, enabling readers to have a comprehensive and systematic understanding of the critical structures and key technologies of cable inspection robots and providing scientific references for researchers working on cable inspection robots.

The study aims to study the extent of research done in luxury marketing in an emerging economy like India by conducting a bibliometric analysis. A period of 21 years has been considered to present a comprehensive picture for results and analysis. Key findings indicate the gaps and scope of further research for academics in India and abroad. The findings indicate a dearth of research by scholars and academicians in luxury, counterfeit and masstige, especially when there is a surge of the upper middle class in India. More specifically, Indian-grown luxury brands also present a massive scope for future research.

The gastronomy industry is one of the industries in which consumers use technology most frequently, such as robotics, artificial intelligence and automation systems. Service robots are generally defined as online programs that can act independently or under the control of a human that can carry human characteristics such as speaking, understanding and acting. This study aims to examine and evaluate the studies on service robots in the gastronomy industry regarding quantity or quality, to understand the phenomenon more comprehensively, and to determine a holistic perspective. To this end, a qualitative research approach was adopted. Document technique was used to collect data within a systematic literature review framework, and the data were analysed by descriptive analysis. According to the findings, the papers on service robots in the gastronomy industry are still in their infancy, and these studies have increasingly gained speed in the last five years.

Artificial Intelligence (AI) has revolutionised the tourism industry, offering personalised experiences and streamlining operations. AI provides customised recommendations for travellers through data analysis and machine learning, making their journeys more meaningful. It has also improved efficiency through automated processes, chatbots and enhanced security measures. AI's ability to analyse large volumes of data enables tourism organisations to make data-driven decisions and target their marketing strategies effectively. One of the most notable contributions of AI in tourism is its ability to offer personalised recommendations. By analysing vast travel history, preferences and online behaviour, AI systems can provide tailored suggestions for destinations, accommodations, activities and dining options. This level of customisation enhances the overall travel experience, making it more relevant and satisfying for individual travellers. AI has also greatly improved operational efficiency within the tourism sector. Chatbots, powered by natural language processing, are increasingly being deployed by hotels, airlines and travel agencies to provide instant customer support and assistance. These chatbots can answer queries, offer recommendations and handle booking processes, reducing waiting times and enhancing customer satisfaction. In addition, facial recognition technology allows for quick and accurate identity verification at airports, hotels and other travel-related facilities. This improves security and provides travellers with a seamless and efficient experience. As technology advances, we expect AI to play a more prominent role in augmented reality, voice recognition and virtual assistants, further enhancing the travel experience and facilitating seamless interactions. In conclusion, AI has transformed the tourism industry by providing personalised recommendations, improving operational efficiency, enhancing security measures and enabling data-driven destination management.

One of the bottle‐necks of computer numerical control (CNC) machining is the CNC programming. It relies on the experience and skills of the CNC programmer for the generation of the CNC program. The intelligent process‐planning system described in this paper generates a process plan automatically for CNC programming. It utilizes artificial intelligent technologies such as knowledge base, blackboard system and machine learning to extract machineable features, and proposes and selects optimal tools for the machining of the given part. Its flexibility and simplicity provide a convenient way to include new techniques and knowledge. The incorporation of this system with other CAD/CAM tools could effectively automate the CNC programming process.