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This paper aims to analyze the evolution of digital and smart technologies and their relationship with different themes within marketing journals. In addition, this study has included the evolution of digital and smart technologies in relevant International Marketing (IM)/International Business (IB) journals to describe the impact of technology on this specific area to draw some interesting conclusions.

A bibliometric approach is applied in this research using science mapping analysis to visualize and reveal the evolution of smart and digital technologies in this specific academic area.

By combining science maps with performance indicators, the results of this study suggest that new technologies are related to eight main topics within marketing journals: implementation-completion, perceptions, behavior, market competition, adoption-diffusion model, social media, competitive advantage and disruptive technology. Additionally, this work provides new avenues for future research. When analyzing IM and IB journals, the findings highlight six thematic areas: perceptions-eWOM relationship, innovative foreign markets, performance determinants, Japan, industrial research and China.

This study contributes theoretically to developing and describing a framework for research in smart and digital technologies in the general marketing and international marketing/business fields. It adds a coherent perspective on the points of contact in marketing evolution, where smart technology has a meaningful role. This study outlines the changing questions surrounding the touchpoints as well as emerging research topics.

The purpose of this paper is to prove that the technology that customers accept is sometimes not the most advanced, but backward, and to explain why different technologies could coexist under certain market situations and government regulations.

A general model was developed to analyze choice of technology regime under evolution of market demand and government regulation led by evolutionary economics.

Market demands and government regulations can affect the change of technology regime deeply, regardless of the level of certain technology. With the change of environment factors which affect China's mobile phones technological evolution, this paper testifies to the rationality and inevitability of PHS's market success and indicates that government regulations would impact the technological choice and lead to some technology market success, but it would lead to low efficiency of resources allocation.

The paper provides an instrument for analyzing the co‐evolution of market demand, government regulation and technology regime.

Evolution and stationarity are key time series empirical concepts which need theoretical assessment by extant research. This study presents a model to explain brand sales dynamics in emerging markets using two dimensions: sales behavior in time (stationary or evolution) and final position (negative, neutral or positive).

A three-step methodological approach was performed. First, individual brand sales series were classified (stationarity or evolution) after unit root tests. These series were then regressed against a time variable. These two steps enabled a qualitative classification of six proposed positions, ranging from the worst to the best scenario for marketing managers. A final multinomial model identified the marketing effect to these positions.

Descriptive statistics reveal an insignificant prevalence of stationary sales series and a small number of positive brand sales series (ascending or promising). The multinomial model shows that price is negatively associated to positive brand sales positions, the important effect of service strategies and how product decisions can lead to an avoidance of negative positions.

The model is limited to short time series of a unique transactional dataset from a multinational energy company based in Brazil.

The research provides a rational empirical framework to managers involved with decisions regarding brand sales dynamics in emerging markets.

The approach advance into the development of models to uncover conditions for market evolution and stationarity in a context marked by the shortage of data.

Scholars have primarily focused on how language represents categories. We move beyond this conception to develop a discursive perspective of market categorization focused on how categories are constructed through communicative exchanges. The discursive perspective points to three under-researched mechanisms of category evolution: (1) the interaction between market participants, (2) the power dynamics among market participants and within the discourse, and (3) the cultural and material context in which categories are constructed. In this theoretical paper, we discuss how each of these mechanisms shed light on different phases of category evolution and the methods that could be used to study them.

The purpose of this paper is to examine the evolution of China's securities market regulation from 1980 to 2007 and the dual role of the government in this process.

When the government is simultaneously the owner and regulator of the securities market, the evolution of securities market regulation follows a path of compulsory institutional change. China's Government authorities have played a dual role in this process by acting both as the securities market regulator and the controlling owner of the stock exchanges. The paper uses the evolution of China's securities market regulation from 1980 to 2007 to illustrate this theoretical framework.

Using the case of China, this paper provides unique evidence of how securities regulation evolves in response to government direction and supervision if the government is both the owner and the regulator of the securities market.

The paper offers insight into issues of securities market regulation in China and other emerging markets.

Financial intermediaries have contributed to the growing complexity of transactions and to an emerging relational network within markets. This article considers the Eurobond market as an organization in which members adopt rationalities along with diversified and evolving courses of action. The purpose of this paper is to mobilize both historical analysis and organizational theories to show what history can bring to organizational theories using a specific financial market as a case study.

The author used a methodology based on historical events and on a long-run analysis of practices. Professional sources, academic research and databases allow the author to follow an abductive approach. Observations set out of this double perspective are confronted with the conceptual frames of organizational theories.

During the creation and organization stage, the Eurobond market adopts the pattern of a market organization. Then, it takes the pattern of a firm organization as defined by Coase and Alchian and Demsetz or it is a hybrid pattern as Williamson corpus is concerned. In its last stage of evolution, it reveals as a firm organization for all economic models of organizations.

The confrontation of an historical methodology with the economic model of organization leads to the conclusion that the Eurobond market cannot be apprehended as an organization market anymore since it has become a firm organization. Traditional regulation of financial markets does not apply since a firm pattern cannot be controlled as a market one.

Analyzes the development of marketing in East European countries. Traces the growth of East Europe's trade with the West from $12.3 billion in 1970 to $37.6 billion in 1979. Highlights eastern Europe as one of the most promising markets to the US. Discusses the broad spectrums of marketing development between eastern countries. Examines the emergence of marketing through four key stages – authoritative systems, directive systems, mixed‐middle systems and integrative systems. Analyzes the differences in the standards of key marketing factors between East and West – e.g. range of products, pricing and advertising. Concludes that due to variations in starting points and differences in development patterns, East European countries are divided between centralization and decentralization. Affirms that unless US international marketers understand the peculiarities of eastern Europe, the US trade record with these potential markets is unlikely to improve.

This study aims to provide a comprehensive analysis of various approaches to the residential property market evolution modelling and to examine the macroeconomic fundamentals that have shaped this market development in Ukraine in recent years.

The study uses a comprehensive data set encompassing relevant macroeconomic indicators and historical apartment prices. Multifactor linear regression (MLR) and ridge regression (RR) models are constructed to identify the impact of multiple predictors on apartment prices. Additionally, the ARIMAX model integrates time series analysis and external factors to enhance modelling and forecasting accuracy.

The investigation reveals that MLR and RR yield accurate predictions by considering a range of influential variables. The hybrid ARIMAX model further enhances predictive performance by fusing external indicators with time series analysis. These findings underscore the effectiveness of a multidimensional approach in capturing the complexity of housing price dynamics.

This research contributes to the real estate modelling and forecasting literature by providing an analysis of multiple linear regression, RR and ARIMAX models within the specific context of property price prediction in the turbulent Ukrainian real estate market. This comprehensive analysis not only offers insights into the performance of these methodologies but also explores their adaptability and robustness in a market characterized by evolving dynamics, including the significant influence of external geopolitical factors.

Business groups have become a significant phenomenon in the evolution and functioning of emerging markets. They also provide important partnership opportunities to foreign firms when they enter these markets. Yet, business groups have not received sufficient attention in the international marketing literature. In this paper, we provide an overview of the theories that explain how business groups function and evolve in emerging markets and generate propositions from that theory. We also present evidence on business group evolution from one emerging market, Turkey. Our work should inspire research questions for future study.

The purpose of this paper is to examine the evolutionary nature of herding phenomenon in the context of a frontier stock market, the Colombo Stock Exchange of Sri Lanka.

This study applies the cross-sectional absolute deviation methodology for daily frequencies of data of all the common stocks listed during the period from April 2000 to March 2018. The regression coefficients are estimated by using both the ordinary least square and the quantile regression procedures.

The findings reveal significant changes to the pattern of herding over different market periods, each with specific characteristics. Herding is strongly evident in up and down market days in the 2000-2009 period, during which the market was highly uncertain with the impact of the political instability of the country due to the Civil War on the stock trading. Even after this Civil War period, herd tendency is strongly manifested toward the up market direction as a result of the investors’ optimism about the country’s economy and political stability, which caused to a speculative bubble in the market. After that, it is turned into negative herding due to the panic selling occurred in view of the uncertainty of the inflated prices, which led to a market crash. Notably, herding appears to be consistently absent over the period after the crash, despite the presence of herd motives such as high market uncertainties triggered by political instability and economic crisis during that period.

The findings suggest that herd behavior is an evolving phenomenon in financial markets. Consistent with the adaptive market hypothesis, the absence of herding evident after the market crash could be attributed to the investors’ learning of the irrationality of herding/negative herding for adapting to market conditions. As a result, herding and negative herding tendencies declined and disappeared at the aggregate market level.

This study contributes to the literature by providing novel evidence on the evolutionary nature of behavioral biases, particularly herding, as predicted by the adaptive market hypothesis. With the application of the quantile regression procedure, in addition to customary used ordinary least squares approach, it also provides robust evidence on this phenomenon.