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The five countries in Central Asia, namely Uzbekistan, Kazakhstan, Turkmenistan, Tajikistan, and Kyrgyzstan, are landlocked and therefore rely critically on aviation for passenger travel and express cargo logistics. However, despite substantial growth in the past decade, the aviation market in the region is still not realizing its full potential. This chapter reviews the development status of the international air travel market from Central Asia, with an aim of identifying the key barriers for industrial development and growth, and possible remedies to address these challenges. Overall, our study suggests that international market growth from the region is significantly influenced by historical patterns and political ties with Russia. Whereas markets linking selected countries such as Turkey and the UAE have experienced substantial growth, further liberalization is needed for the region to achieve better connectivity with major trade partners and aviation markets.

This chapter focuses on the Turkish businesses’ and individuals’ perspectives on sustainability and environment and provides a socio-cultural analysis regarding the problems underlying in the implementation of sustainability and environmental practices in an emerging economy.

Current sustainability and environment studies literature regarding the Turkish businesses and society are examined. Socio-cultural perspective is used to explain the problems in the field.

Turkish culture is traditionally associated with harmony with the nature and many studies point to its environmental awareness. But the lack of future orientation, paternalist way of management, and survival concerns of the individuals and businesses cause a certain lack of environmental initiative. Turkish culture has a unique pluralistic approach to nature, and in this approach mastery, harmony, and subjugation are combined.

The suggested pluralistic approach should be considered by the relevant stakeholders to understand the dynamics of business and environment relations in Turkey. This unique structure calls for unique environmental solutions.

Present studies of Turkey in terms of sustainability and environmental issues are generally lacking socio-cultural perspectives. This study aims to fill this gap by suggesting an alternative pluralistic approach based on a socio-cultural evaluation of Turkish culture.

A formula for the ranking of scientists based on diachronous citation counts is proposed. The paper generalises the fact that the citation generation potential (CGP) is not the same for all papers, it differs from paper to paper, and also to a certain extent depends on the subject domain of the papers. The method of ranking proposed in no way replaces peer review. It merely acts as an aid for peers to help them arrive at a better judgement.

A suite of databases designed to provide a guide to archive collections, detailed descriptions of some major holdings and surveys of holdings elsewhere, has been developed at the University of Southampton Library since 1983. The databases are mounted using STATUS. Future development paths for archive systems are discussed.

The aim of this paper is to study the effect of the parametric sensitivity of all critical parameters of feed water and other operating variables on the corrosion rate and oxide scale deposition on economizer tubes of a typical coal-fired 250-MW boiler.

In this paper, a multilayer perceptron-based artificial neural network (ANN) model has been developed to envisage the corrosion rate and oxide scale deposition rate in economizer tubes of a coal-fired boiler. The neural network architecture has been optimized using an efficient gradient-based network optimization algorithm to minimize the training and testing errors rapidly during simulation runs.

The parametric sensitivity of all critical parameters of feed water and other operating variables on the corrosion rate and oxide scale deposition activities has been investigated. It has been observed that dissolved oxygen, dissolved copper content, residual hydrazine content and pH of the feed water have a relatively predominant influence on the corrosion rate, whereas dissolved iron content, silica content, pH and temperature of the feed water have a moderately major influence on oxide scale deposition phenomenon. There has been very good agreement between ANN model predictions and the measured values of corrosion rate and oxide scale deposition rate substantiated by the regression fit between these values.

This paper details the development of an alternative model to accurately predict corrosion rate and deposition rate on the inner surface of economizer tubes of a boiler over first principle-based kinetic model.

The purpose of this paper is to exhibit the influencing factors on and the process of internationalization with regard to Chinese automobile companies.

The author adopts an explorative approach to investigate the 12 major Chinese automobile manufacturers in terms of sales for the year 2010. Concentrating on the automobile industry in China, the author provides context and comparability.

The findings show that the internationalization of Chinese automobile companies cannot be explained by one theoretical model only and challenge previous internationalization research. Nevertheless, in retrospect, some patterns can be seen. Until the year 2000, technology was absorbed through domestic joint ventures with Western manufacturers. Up to 2010, internationalization involving exports may be viewed as having been a “test” phase, becoming a strategic goal defined by the Chinese government. Different internationalization attributes are aggregated into a comprehensive ranking of the case‐study companies. The ranking is analyzed with regard to managerial and company influences, as well as to incentivizing factors that potentially generate internationalization. As an incentivizing factor, the governmental environment plays a crucial role, having designated the automobile industry as one of China's pillar industries.

The paper gives new insights into internationalization processes on an industry level. In particular the Chinese strategic approach to internationalization is exhibited and discussed for the automobile industry.

This study aims to examine which organisational and other factors can facilitate the adoption of artificial intelligence (AI) in Indian management institutes and their interrelationship.

To determine the factors influencing AI adoption, a synthesis-based examination of the literature was used. The interpretative structural modelling (ISM) method is used to determine the most effective factors among the identified ones and the inter-relationship among the factors, while the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is used to analyse the cause-and-effect relationships among the factors in a quantitative manner. The approaches used in the analysis aid in understanding the relationship among the factors affecting AI adoption in management institutes of India.

This study concludes that leadership support plays the most significant role in the adoption of AI in Indian management institutes. The results from the DEMATEL analysis also confirmed the findings from the ISM and Matrice d’ Impacts croises- multiplication applique and classment (MICMAC) analyses. Remarkably, no linkage factor (unstable one) was reported in the research. Leadership support, technological context, financial consideration, organizational context and human resource readiness are reported as independent factors.

This study provides a listing of the important factors affecting the adoption of AI in Indian management institutes with their structural relationships. The findings provide a deeper insight about AI adoption. The study's societal implications include the delivery of better outcomes by Indian management institutes.

According to the authors, this study is a one-of-a-kind effort that involves the synthesis of several validated models and frameworks and uncovers the key elements and their connections in the adoption of AI in Indian management institutes.

This study aims to provide insights into glocalisation of international channels of distribution. The study also seeks to identify the key principles and patterns of glocalisation in general.

The authors utilise the single case study approach to study glocalisation in international channels of distribution by conducting in‐depth interviews with the firm's senior executives.

Results reveal that the firm employs glocal channels of distribution strategies. The study specifically identifies two types of glocalisation: inter‐decision and intra‐decision, and it is found that the firm follows a combination of both. The findings also suggest that the decision on how to glocalise channel strategies is based upon the firm's global practices as well as several local conditions specific to individual markets.

The study concludes that there is no uniform formula to pursue glocalisation. Firms may choose to pursue inter‐decision or intra‐decision glocalisation, or a combination of both. However, the decision should be based on a careful assessment of the firm's global philosophy, the channel decision involved, and ground realities in each market.

The study shows how glocalisation can be applied to international channel strategies. The study fills the gap in prior literature by throwing light on the lesser understood “global dimension” of a glocal strategy. The study may be the first to identify different types of glocal strategies and thus offers relevant insights into the concept of glocalisation. The study also adds to the limited knowledge on practicable application of glocalisation among both academics and practitioners.

As the Chinese economy has grown rapidly and as its container throughputs has demonstrated a stark increase in recent decades, companies worldwide have developed stronger financial connections with supply chain entities in China, a huge “Production Factory” in the world. This global economic trend arouses significant attention to distinct preference of individual entities in supply chain. The primary goal of the study is to establish statistical understanding on factors of logistics service preferences of each supply chain of each supply chain entity in China, especially Shandong Province. Ultimately, the study aims i) to establish the solid framework for proper evaluation of logistics services in supply chains, ii) to enhance the preferences of logistics services as a differentiating feature on behalf of entities. The study utilizes a holistic approach in analyzing logistics service attributes which affect overall logistics entities in an effort to overcome the limitations of previous studies which failed to provide integrating viewpoint of supply chain entities. In this study, AHP (Analytic Hierarchy Process) method is used as an analysis tool which allows an in-depth examination of the differences between factors and evaluations of customers regarding the logistics service attributes. The results clearly show distinctive service preferences for each four supply chain entities in Shandong Province of China such as 3PLs (forwarder, carrier, and warehouse), Customs (airport, seaport, and bonded area), Market channels (wholesaler, retailer, and e-retailer), and Manufacturers regarding the logistics service attributes.