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Proper performance measurement is an important issue in library operational management. A data envelopment analysis (DEA) model is applied to evaluate the relative operational efficiency of 25 U.S. private research-university library members of the Association of Research Libraries (ARL). Operations of each library decision-making unit are considered as a production process using four resource input and four service output variables. The model results are analyzed and compared with the efficient group and a peer group by using a t-test. The model provides decision-makers with more accurate information to implement better library services with appropriate resource allocation.

The purpose of this chapter is to develop a new perspective model of well-balanced information economy.

The methodological tools of this work are based on application of the method of comparative analysis for comparing the old and the new model of information economy, modeling of socio-economic systems, simplex-method as an algorithm for solving the optimization task of linear programming, related to improvement of the conceptual model of information economy, and the method of formalization for graphical presentation of a new model of information economy.

The developed and presented author’s perspective model of information economy envisages balancing in four main directions: infrastructural possibilities and readiness for their practical usage by society and business; state regulation and market self-management; existing and new information; and external information exchange. Despite the clarity and strictness of conceptual settings, the new model is peculiar for increased flexibility and adaptation to the peculiarities of the socio-economic practice of economic system. Thus, the new model of well-balanced information economy allows overcoming all drawbacks – logical mismatches and contradictions – of the existing (old) model of information economy.

Due to optimization of the conceptual model, its practical implementation in economic activities of modern socio-economic systems becomes possible – as a result of which, with accumulation of experience, it will be possible to assess true value of the idea of information economy’s formation for humanity and the global economic system.

This study examines how chatbots could improve the client experience in the banking sector. Due to their quick and effective customer service, chatbots are becoming more and more popular, but it is still unknown whether they can improve the customer experience. In order to gather data from a simple random sample of Palestinian banking clients in the Gaza Strip, a survey was conducted utilizing the explanatory technique. To test hypotheses, data collected from 337 individuals was evaluated using simple regression analysis. According to the results, chatbots may enhance the customer experience by offering 24/7 availability, prompt support, and customized replies. However, issues with data privacy, lack of human interaction, and chatbot accuracy were also noted. The study comes to the conclusion that chatbots may be an effective tool for increasing customer experience in the banking sector, but their design, deployment, and interaction with current customer service channels must be carefully considered. This study significantly adds to the body of knowledge on chatbots and their potential influence on customer experience. The study offers useful insights into the particular difficulties and potential of employing chatbots in a highly regulated and customer-focused industry by concentrating exclusively on the banking sector. The results show that chatbot implementation in banking needs to be approached thoughtfully and strategically to maximize their potential for improving customer experience while limiting any possible downsides.

The unpredictable distribution of globalization has directed the world economy and revealed the need to establish cooperation in all business processes. This global structure also highlights the necessity of designing an agile supply chain that is capable of continuous information sharing during end-to-end transportation for the purpose of creating sustainable connections. In this process, various strategies enhanced with contemporary information and communication technologies have been developed to create a fast and accurate data-sharing network between logistics service providers and supply chain parties. However, unlike the short-term interruptions experienced in the past, COVID-19 has caused unprecedented problems in the dynamics of most economies. In eliminating these problems, it has been seen that information communication technologies, which provide the advantage of digital visibility in normal operations, need to be redesigned with the technology of the autonomous age. To meet this requirement, Industry 4.0, a revolutionary conceptual trend that started roughly a decade ago but that has become considerably more widespread during COVID-19, has been integrated into business models as a key concept that governs intelligent transformation in the chain. This process, which is today considered a compulsory intelligent transformation rather than an alternative method, has however led to some conflicts, especially in adaptation, expertise, and security subjects. This chapter of the book evaluates, within the scope of cybersecurity and workforce in logistics services, the conflicts created by the digital solution methods that have been integrated into business models to reduce the negative effects of COVID-19.

Climate change and crucial environmental issues, such as global warming, soil degradation and water pollution have incited concern over the natural environment and have provoked both government and individual interventions in order to amplify constructive actions for environmental protection and restoration. Food is considered to be one of the most impactful consumption domains that substantially contribute to the overall carbon footprint. This chapter discusses the incentives and interventions oriented to support the transition to more sustainable agro-food systems. Furthermore, it provides a broader picture of stakeholders’ perceptions and adaptation to climate change uncertainties, as well as how climate change is perceived by consumers and how this may affect their food patterns, turning them to a more sustainable direction. Finally, a vocabulary of climate-related terms and a set of various exercises are presented, aiming to enhance students’ learning and critical thinking skills in the key role of the agro-food systems in climate change, sustainable development and environmental security.

This paper introduces a conceptual framework to assess the foreign market entry behavior of emerging market multinationals (EMMs). By introducing strategic cognition as the underlying theoretical perspective, this paper postulates that different levels of institutional voids in home markets shape the strategic cognition of EMMs, influencing their market entry behavior due to the prevalence of organizational imprinting in the early stages of internationalization. The paper aims to contribute to the strategic cognition literature by introducing emerging markets as a relevant context in which to apply and extend current thinking. Additionally, it aims to contribute to the institutional voids literature by providing a cognitive framework of behavioral patterns that is rationalized by institutional voids. Finally, the paper contributes to the entry mode literature by proposing strategic cognition as a relevant moderator for foreign entry mode choices, particularly those of EMMs.

The chapter (re)assesses the impact of the 2008 financial crisis on global foreign direct investment (FDI). Based on updated data and renewed analyses, the author explores the crisis’ overall effects on global FDI flows, the different consequences on developed and developing countries, and the subsequent rise of emerging economies as both recipients and sources of FDI. Implications for policy and international business theory are delineated. By so doing, the author extends the theoretical and empirical studies on FDI determinants to the global level and provides lessons that are particularly useful against the backdrop of the COVID-19 pandemic.

The chapter provides an economic explanation and perspectivation of strategic asset seeking of multinational enterprises from emerging economies (EMNEs) as a prominent feature of today’s global economy.

The authors apply and extend the “springboard perspective.” This perspective submits that EMNEs acquire strategic assets in developed markets primarily for use in their home markets.

The authors succumb that the springboard perspective is alluring theoretically as well as empirically as it suggests that when EMNEs acquire strategic assets, they experience liabilities of foreignness (LOF) that are low relative to those of MNEs from developed markets. The authors concede to this LOF asymmetry but also point out that liabilities of outsidership (LOO) can offset or weaken the home-market advantage of some EMNEs when competing with MNEs.

LOO appears as the more relevant concept to use when explaining strategic asset seeking of EMNEs. A set of propositions are formulated to guide empirical testing.

The insights gained from using the springboard perspective and the LOO concept are non-trivial: They basically predict future dominance of ‘insider’ EMNEs at the expense of MNEs from developed markets.

The current chapter is a tentative step toward investigating the allocation of advertising budget between the internet platform and the entity platform according to the long-term and short-term achievement of advertising investment. We provide a decision-making framework on how to allocate the advertising budget to the two platforms for the best results. The integrated effect of advertising investment consists of two parts. Goodwill and customer scale reflect the long-term achievement, and sale profit represents the short-term achievement. We selected some representative feasible investment plans as decision-making units (DMUs), and calculated the values of sale profit, goodwill, and customer scale as three outputs. To determine the best advertising investment plan, we use data envelopment analysis (DEA) model to seek efficient plans, and then determine the best one from those efficient plans through preference investigation and super-efficiency technique.

Since the beginning of the 21st century, China’s outward foreign direct investment (OFDI) is growing steadily and Chinese multinationals (MNCs) are playing an increasingly important role in the global economy. Thus, the number of papers focusing on China’s OFDI and Chinese MNCs has been increasing during the last years. The aim of this chapter is to carry out a review of the empirical papers dealing with Chinese MNCs published between 2002 and 2012 in high-impact international business and management journals.

This chapter reviews 43 empirical papers focusing on Chinese MNCs that were published in nine major scholarly journals between 2002 and 2012.

We report individual and institutional contributions, the theories and methods used, the research topics, and the main findings. We also discuss implications for future research.

Some previous literature reviews have dealt with research on China’s OFDI and Chinese MNCs. Nevertheless, none of the earlier reviews dealt specifically with empirical papers; neither did they provide an analysis of both individual and institutional contributions.