Does digital technology development attenuate investor local attention bias?

Localized Information Acquisition

This paper focuses on the development of the digital economy, particularly digital entrepreneurship in the regions of Kyrgyzstan. The authors consider the position of Kyrgyzstan in international rankings and the level of implementation of information and communication in the country, necessary for the development and improvement of the digitalization of the economy. The paper defines the role of developing and improving the theory of digitalization, digital economy, digitalization of business, and regional development in the context of the adopted relevant programs, concepts, and territorial objectives aimed at stabilizing and creating conditions for achieving positive dynamics in the issues of improving the level and quality of services through the introduction of advanced information and digital technologies to develop regions and improve the lives of the population. The authors provide definitions and refinements, enriching the current digital terminology based on the study of philosophical and economic studies of the objects of digital development, which have their rightful place in contemporary economic science. The methods of observation and theoretical research allowed us to reliably determine the role and importance of digitalization of the economy in the sustainable development of the whole country. In recent years, the task of developing the digital economy and its categories has been explored and disclosed by contemporary scientific schools as a policy direction. Much attention is given to applied research, identifying constraints, their diagnosis, analysis, and problem-solving. A special place in the research is given to the problems of acquisition, implementation, and adaptation of advanced information and digital technologies. The authors also pay considerable attention to the issues of effective use of digital potential in the regions of the country. It was established that the requirement for implementing digital business models of management of economic entities is the use of IT technologies. The priority is a digital strategy, which should define the task of developing optimal digital scenarios of socioeconomic development of regions and their territories, considering digital risks and resource opportunities. The authors consider the role and importance of the development of digital entrepreneurship in the development of regions and rural areas. Moreover, the authors identify the need to introduce new forms of accounting and financial control in the digital economy, in particular in digital entrepreneurship. Finally, the authors proved specific recommendations for state regulation on the implementation and improvement of digitalization in developing the Kyrgyz Republic and its regions.KeywordsDigital entrepreneurshipDigitalizationDigital economyRegionsDigital businessDigital strategyDigital environmentJEL ClassificationJ23M29R11F02L86P45Z18

Travelers can often benefit from acquiring relevant information on their intended modes and routes. By providing pretrip and en route information, advanced traveler information systems present real opportunities for improving the travel experience of individuals and increasing efficiency of the transportation system. In this regard, it is important to understand how consumers acquire and respond to travel information. This study develops a conceptual framework identifying important factors influencing travelers’ information acquisition behavior and their response to dynamic information. The model is empirically tested with the use of a recent and comprehensive regional travel survey. A sample selection model is estimated to be consistent with the two-stage processing of travel information (i.e., acquisition and response). Results show that information acquisition and changes in travel plans are sensitive to different sets of factors. In the data set analyzed, normal travel time to work is found to be a critical factor in information acquisition, but has an insignificant association with the change of travel plans. Furthermore, travelers respond differently to various information technologies. In an examination of change behavior (including route change, mode change, and trip cancellation), Internet access had the strongest association with change. With examination of specific route change behavior, transportation information obtained through radio had the strongest association with change. The study generates useful implications on how to improve existing and future traveler information systems.

Behavior of investor is very important during investment which is the component of behavioral finance. Information acquisitions play an important role in trading behavior of investors. For this reason, present research is going to examine the impact of information acquisition on trading behavior of investors in presence of demographics as moderator. The results show positive and significant relation not only among the information acquisition and trading behavior of investors but also among all the dimensions of information acquisition. Moreover the outcome also proved that demographic factors moderate the relationship between the information acquisition and trading behavior. Present research is beneficial for investors which continually gather information and then take decision for investment. Keywords: Behavioral finance, Information acquisition, Trading behavior, Investors, Demographic factors. DOI : 10.7176/HRL/48-02

This paper presents a state-of-the-art review on health and risk information acquisition, focusing on current approaches to conceptualizing, theorizing, and measuring information acquisition. We argue the current focus on seeking and scanning limits our understanding of the complex phenomenon of information acquisition and that scholars should consider examining a broader range of behaviors. In addition to reviewing current theorizing on information seeking, we argue for more macro theories of information acquisition behavior that better consider the current information environment and situations under which individuals acquire information, as well as theories that better delineate the process and effects of seeking. We also discuss new methods for capturing and measuring information acquisition behavior and present a roadmap for future research.

Technology transfers are important channels for firms in developing countries to get access to new technology and initiate innovation. This article examines the geographical pattern of technology transfers in the form of buyer-provided training in domestic and international production networks. Our unique buyer-supplier network data in four countries in Southeast Asia allow us to directly observe the buyer-supplier relationship as well as the existence of inter-firm provision of training for product/process innovation in order to investigate the geographical structure of knowledge acquisition, dissemination, and aggregation among local and non-local firms. The empirical analysis finds the following: (1) the probability of having training provided by the main buyer presents a U-shaped quadratic pattern with respect to the geographical distance between the respondent firms and the main buyers. The geographical proximity to the main buyer seems to be particularly important for local firms. (2) The training provision is likely for both local and non-local firms when the main buyer is a multinational located in the same country. (3) The probability of having training from the main buyer is high when the main buyer conducts R&D. (4) Both local and non-local firms that have training provided by their main buyers are likely to provide training to their main suppliers. (5) In the case of non-local firms, product innovation with production partners is more likely when they have upstream/downstream training. However, such links seem to be weaker in the case of local firms.

Strategic priorities of social production digitalization: world experience

The research object for this study was the population aged 60 and above. The theoretical model was developed using the Theory of Health Action Process Approach, Theory of Maslow's Hierarchy of Needs, the Bystrom & Jarvelin Model, and Theory of Use and Satisfaction. The study found that information acquisition intentions are strongly influenced by social identity, knowledge acquisition and self-realization, and self-efficacy; information access intentions have a considerable favorable impact on both information acquisition behaviors and action plans. Action plans has a mediating effect between information acquisition intentions and information acquisition behaviors.

This paper explores the retailers’ information acquisition behavior under horizontal competition and investigates the impact of information leakage from an evolutionary game theory perspective. When information leakage does not occur, we find that firms’ acquisition behavior differ under different types of competition. Under Cournot competition, rivals prefer the competitor not to acquire information. Under Bertrand competition, however, rivals prefer the competitor to acquire information. As a result, at a moderate level of acquisition cost mixed strategies (acquire and not acquire) coexist under Cournot competition, whereas all retailers adopt the same (pure) strategy under Bertrand competition. With information leakage, two effects (collaborative forecasting and free-riding) influence firms’ decision making. When the collaborative forecasting effect dominates, all retailers would choose the acquisition strategy in the equilibrium. However, if the free-riding effect is strong, no retailer would acquire information in the equilibrium. With a moderate acquisition cost, there are still retailers willing to acquire information and mixed strategies coexist, regardless of the type of competition. Interestingly, no matter information is leaked or not, we find that Cournot competition in general better accommodates information acquisition than Bertrand competition. As a result, Cournot competition can lead to a higher total welfare than Bertrand competition when the information acquisition cost is moderate and the demand uncertainty is large, in contrast to the standard result of duopoly models.

PurposeThe purpose of this paper is to identify and design a paradigm model for universities' information acquisition behavior in competitive intelligence process.Design/methodology/approachThe sampling has been conducted in two stages. First, purposive sampling has been done among Iranian universities of medical sciences. Second, 20 university staff members were selected using the snowball method. The research was conducted through semi-structured interviews.FindingsThe purpose of acquiring information in competitive intelligence process is to meet organizational and individual information needs in active and passive ways. The characteristics of information acquisition and how to acquire it are varied. Enablers include the information sources, individual, organizational characteristics and environmental pressures. Barriers are individual, organizational, environmental factors. The consequences of information acquisition are success, failure and partial success. Accordingly, a paradigm model of information behavior has been designed.Originality/valueThis is the first study to identify information behavior of universities in competitive intelligence process. In addition to why and how to acquire information, this study also looks at facilitators and barriers factors.

Nowadays modern agriculture is plagued by several challenges. Global climate changes, rapid population growth, the reduction of the labor force, as well as the energy crisis, pose vast challenges to the agricultural sector. However, taking into consideration the latest advances in digital technologies, including Information and Communication Technologies (ICT), under the framework of industry 4.0 it has become apparent that the development of Precision Agriculture could facilitate in overcoming the global challenges, as well as to facilitate the global community in achieving the Sustainable Development Goals (SDG) as they have been announced by the United Nations (UN), heading towards Industry 5.0 and Society 5.0. Further to that, the adoption of Precision Agriculture practices could significantly aid the agricultural sector to overcome these barriers and enhance its resilience. Therefore, in the research work the automated aeroponic plant growing system based on the integration of Internet of Things (IoT), for monitoring, analyzing data, and adjusting the operational parameters of a smart greenhouse is presented. Concretely parameters such as moisture content in the roots, acidity level, temperature are among other the key parameters controlled in near-real time and provide to the farmers a useful tool for the optimization of crop yields. The proposed architecture is applied in a greenhouse connected to the cloud.

This article explores the impact of information and digital technologies on the individual, who is regarded as the primary capital of modern civilization. It emphasizes that the value of a person lies not only in their civic stance and professionalism, but also in the presence of high-quality thinking. The foundation of such thinking has been, and continues to be, knowledgе – key factor in social, economic, and cultural development. The article highlights that the advancement of information and digital technologies has led to the deontologization of knowledge – a phenomenon that underpins the existence of the informational world, or infosphere. This infosphere has become a decisive factor in the life of modern individuals, shaping their aspirations, initiatives, and freedom of choice. It is noted that a significant outcome of integrating information and digital technologies into the educational process has been the transformation of society into a “knowledge society”. The existence of such a society has established both theoretical and practical imperatives for prioritizing a core value of European culture: the institution of education. Today, education carries out its mission within the framework of an informational and digital reality. At the center of this reality is the Internet, which functions both as a realm of personal virtual observation and as a space for user activity. In the educational process, this manifests as the intensification of interaction between the subject and object of learning. The paper argues that the active reality of the infosphere necessitates a theoretical foundation for the concept of post-truth, which characterizes the socio-cultural specificity of the global world. The article substantiates that, in a post-truth context, reliable knowledge becomes difficult to distinguish amid a multitude of facts, ideas, and opinions – most of which are far removed from science. This condition contradicts the essence of modern techno-technological civilization, which is built on the application of scientific knowledge, projects, and achievements in educational theory and practice. The primary condition for overcoming the negative influence of post-truth on the pursuit of genuine knowledge and the formation of individual identity in education is the enrichment of the learning process with creative technologies and reliable expert evaluations.

There is increasing empirical evidence that individuals utilize social and environmental cues in making decisions as to whether or not to disperse. However, we lack theory exploring the influence of information acquisition and use on the evolution of dispersal strategies and metapopulation dynamics. We used an individual-based, spatially explicit simulation model to explore the evolution of emigration strategies under varying precision of information about the natal patch, cost of information acquisition, and environmental predictability. Our findings show an interesting interplay between information use and the evolved emigration propensity. Lack of information led to higher emigration probabilities in more unpredictable environments but to lower emigration probabilities in constant or highly predictable scenarios. Somewhat-informed dispersal strategies were selected for in most cases, even when the acquisition of information was associated with a moderate reproductive cost. Notably, selection rarely favored investment in acquisition of high-precision information, and the tendency to invest in information acquisition was greatest in predictable environments when the associated cost was low. Our results highlight that information use can affect dispersal in a complex manner and also emphasize that information-acquisition behaviors can themselves come under strong selection, resulting in evolutionary dynamics that are tightly coupled to those of context-dependent behaviors.

Purpose: is to prove the relationship and mutual influence between the diffusion of industrial robotics and digital technologies, their synergy.Methods: the paper uses modified models of innovations diffusion applied to describe the dynamics of robot density using the example of a number of countries (China, South Korea and Japan) taking into account the diffusion of advanced digital technologies (5G technologies, the Internet of Things, machine-to-machine interaction, cloud services, etc.) at enterprises. In addition, using regression dependencies, the influence of industrial robots spread in the electronics industry of these countries on the economic indicators of the industry is studied.Results: studying the development and implementation of digital technologies at enterprises in the model of diffusion of robot density for a number of countries gave a better approximation to the original data than the basic logistic model. The use of such a modified model made it possible to forecast the robot density in countries depending on the scenarios of digital technology diffusion. Using regression models, the effect of introducing industrial robots in semiconductors, sensors and communication equipment production was estimated using the example of Japan, which confirms the presence of synergy between advanced digital technologies and industrial robotics.Conclusions and Relevance: the results of the study confirm the presence of a large mutual influence, synergy of digital technologies and robotics. Advanced information and communication technologies increase the degree of robotization in developed countries, transfer human-robot interaction to a higher level, and open up new ways of using industrial robots in smart manufacturing. At the same time, the widespread use of industrial robotics in the electronics industry, in the production of communication equipment, semiconductors and printed circuit boards improves quality and efficiency, ensures the reliability and scalability of production.

Throughout this book we have described studies carried out using the Mouselab system for monitoring information processing. This appendix provides additional detail about the properties of that system.