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Under the background of coexistence of information overload and information fragmentation, it is of great significance to identify influencing factors and reveal the evolution logic of public opinion for public opinion governance.

Taking 24 hot social events as research cases, firstly, the evolution process of public opinion was divided into initial stage and response stage. Secondly, eight antecedent variables were extracted for qualitative comparative analysis of fuzzy sets. Finally, the configuration path of public opinion evolution results was summarized.

The research showed that compared with the initial stage, the influencing factors in the reaction stage played a key role in the continuous evolution of public opinion. The influencing factors in the initial stage and response stage played an indispensable role in promoting the evolution of public opinion to calm down.

This research can provide reference for regulators to timely grasp the initiative, discourse power and leadership of public opinion development.

Research on the two-stage configuration path of public opinion evolution is helpful to clarify the key factors affecting the evolution trend of online public opinion of hot events.

Drawing from knowledge-based view and balanced scorecard approach, this study seeks to develop an integrative model to examine the influence of two knowledge management (KM) strategies, codification KM strategy and personalization KM strategy, on the multi-stage KM evolution (KM adoption, implementation and institutionalization stages), which in turn affects balanced scorecard outcomes (financial performance, internal process performance, customer performance, and growth and learning performance).

Survey data from 244 managers (currently and directly in charge of KM activities) in large Taiwanese firms were collected and used to test the research model using the structural equation modeling (SEM) approach.

The results have revealed that both the codification KM strategy and personalization KM strategy are positive factors for stage-based KM evolution, but their relative importance differs across the three subsamples. Additionally, the results showed that the internal process and customer perspectives play a critical role in measuring performance during the earlier stages of KM evolution, while the financial and learning and growth perspectives emphasize the performance achievements from the latter stages.

Since KM implementation is an evolutionary process, using both financial and non-financial measures to assess organizational performance through KM efforts, such as the four balanced scorecard perspectives, can take full advantage of stage-based KM evolution. The results indicate that the time-lag effect is critical to distinguishing different forms of organizational performance.

Theoretically, this study aims to provide a research model that is capable of understanding the antecedents and consequences of staged-based KM evolution. From a managerial perspective, the findings of this study provide valuable guidelines to policy-makers and practitioners in accelerating KM evolution and achieving organizational performance.

Most of the existing studies on the evolution of emergency topics in social media focused on the emergency information demand of fixed user type in emergency while ignoring the changing roles of stakeholders during the emergency. Thus in this study, a three-dimensional dynamic topic evolution model is proposed, in which fine grained division of time, dynamic identification of stakeholders in the emergency, and emergency topic evolution based on both timeline and stakeholder's type are all considered.

Particularly the relevance between the tweets posted and the topic of emergency, the influence on the social network, and the attention of emergency topic are as well taken into account to quantitatively calculate the weight and ranking of stakeholders at different stages of the emergency. To verify the proposed model, an experimental demonstration was carried out under an emergency event posted on social media.

The results show that (1) based on the three-dimensional dynamic topic evolution model, the composition and ranking of stakeholders have obvious differences at different stages; (2) the emergency information needs and the sharing behavior of stakeholders on emergency information also indicate different preferences where the topic concerns of stakeholders at different stages have a strong relationship with their weight ranking; (3) the emergency topic evolution considering both the dynamics of emergency stakeholders and emergency information demand could more accurately reflect the changing regularity of social media users' attention to information in emergency events.

This study is one of first to investigate the emergency topic evaluation on social media by considering the dynamic changes of various stakeholders in emergency. It could not only theoretically provide more accurate method to understand how users share and search emergency information in social media, but also practically signify an information recommendation way in social media for emergency tracking.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-02-2021-0098.

To enhance one's understanding of the evolution of knowledge management (KM), this study seeks to develop a research model to examine the impact of individual (knowledge self‐efficacy, openness in communication, reciprocal benefits), organizational (top management support, organizational rewards, and sharing culture), and information technology contexts (KM system infrastructure and KM system quality) on the KM evolution along three stages (KM initiation, implementation, and institutionalization).

Survey data from 241 managers (in charge of KM practices in their companies) in large Taiwanese firms were collected and used to test the research model using the structural equation modeling (SEM) approach.

The results reveal that the attributes for individual‐organizational‐technological contexts have different impacts on three stages of KM evolution. In particular, knowledge self‐efficacy, top management support, and KM system quality have positive effects on all three KM evolution stages.

Future research should include structured interviews and case studies of managers dealing with ongoing or recently completed KM planning projects to help understand the practical usefulness of the research model.

Creating an organizational climate characterized by top management support and knowledge‐sharing culture is likely to assist both management and employees in socializing and interacting with one another, thus driving KM effectiveness. Managers should strive to enable employees to propose ideas for new opportunities and foster a positive social interaction culture for implementing KM initiatives.

Theoretically, this study aims to provide a research model that is capable of understanding the antecedents of the stage‐based KM evolution. From a managerial perspective, the findings of this study provide valuable guidelines to policy‐makers and practitioners in implementing KM and accelerating KM evolution.

Purpose: The purpose of the chapter is to study the process of evolution of modern business systems, to distinguish its main stages, and to determine the peculiarities of the modern stage of this process. For compiling a fuller dynamic model of evolution of modern business systems, this research is performed by the example of modern Russia – which is one of the most vivid representatives of countries with transitional (forming) economy and which is thus peculiar for very intensive transformation processes in business as compared to the countries that implement the concept of market economy.

Methodology: The methodology of the research is based on the method of logical analysis (analysis of causal connections) and the method of comparative historical analysis, with the help of which regularities of development of modern business systems are distinguished and stages of their evolution are determined. The method of formalization is used for graphic presentation of genesis of modern business systems.

Conclusions: As a result, four stages of evolution of modern business systems are distinguished: paternalism (1991–1997), commercialization (1998–2007), balancing (2008–2017), and technologization (since 2018). Each of the distinguished stages has its peculiarities, and the following regularities and tendencies of development of modern business systems are observed in the process of their evolution: increase of competition in business environment, increase of regulation of business from the state and society, and growth of size of business systems, which leads to complication of their structure, with increase of flexibility of business culture. Sufficiency of adaptation means with modern business systems is substantiated.

Originality/value: The determined outlines of the current stage of evolution of modern business systems allow compiling two following forecast scenarios of their further development, oriented at the period until 2025: scenario of well-balanced development of modern business systems and scenario of increase of disproportions in development of modern business systems. Implementation of these scenarios is possible in any socioeconomic system. Depending on strategic goals and priorities, each system may select the most optimal scenario and conduct the corresponding management of development of modern business systems.

In order to determine the range of medium temperature zone of road asphalt, it is hoped that the evolution of viscoelastic characteristics of road asphalt under medium temperature state can be deeply explored.

In this paper, the needle penetration test and temperature scanning test were designed for 90# and 70# bitumen as test materials, and the boundary of medium temperature zone of 90# and 70# bitumen was accurately determined by data analysis method. A mathematical model was established based on principal component analysis, and a comprehensive evaluation index was proposed to evaluate the evolution of temperature viscoelastic characteristics of road asphalt by means of standardization and rotational dimensionality reduction.

The test results show that the medium temperature zone of 90# asphalt is [−5 ± 1°C, 38 ± 1°C], and the medium temperature zone of 70# asphalt is [0 ± 1°C, 51 ± 1°C]. According to the viscoelastic response of road asphalt in the medium temperature zone, the medium temperature zone can be divided into three evolution stages: weak viscoelastic stage, viscoelastic equilibrium stage, strong viscoelastic weak stage. Analysis based on the intrinsic viscosity fillip target describing the various intrinsic viscoelastic index represents the viscoelastic properties of bitumen from different angles, and limitations inherent stick fillip for target put forward the integrated the inherent stick fillip mark information, as well as targeted and accurate evaluation of road asphalt temperature comprehensive evaluation indexes in the evolution of the viscoelastic properties of I_M-T. Finally, the temperature data of asphalt pavement in several representative regions of China are compared with the determined medium temperature region, and it is proved that the research on the evolution of viscoelastic characteristics of asphalt pavement under the medium temperature condition has important practical significance.

The boundary of medium temperature zone of 90# and 70# base asphalt was determined, and the viscoelastic characteristic evolution of road asphalt under medium temperature state was studied deeply. Aiming at the limitation of intrinsic viscoelastic index, a comprehensive evaluation index IM-T which not only integrates the information of intrinsic viscoelastic index but also can accurately evaluate the evolution of temperature viscoelastic characteristics in road asphalt is proposed.

Demonstrates the relevance of a stages methodology as a basis for understanding and analysing the evolutionary metamorphosis leading to the current Russian malaise. Addresses the advantages and disadvantages of the methodology, such as the unilinear fallacy, and analyses economic stagnation and decline in the context of the dynamics of culture evolution in the stage of modern economic growth. Given the Kuznetsian emphasis on a science‐fed technology, how then to explain the lack of Russian permeability to that technological flow? Many variables, such as excessive military spending, nationalism, rigid centralization, ideology, and so on, enter into such an analytical purview. It appears that neither tsarist nor Soviet Russia was able to create a culture adequately permeable to the dynamics of an ongoing science‐fed technological flow. The basic problem for Russia to overcome today is one of a cultural lag. A greater democratization of social and economic organization, concomitant with the needs of a modern industrial society, appears in order.

Differently from previous works that focused on the entrepreneur and on his ability to manage social relationships, the purpose of this paper is to investigate the role of business relationships in the different stages of the life cycle of a start-up.

Since the paper aims to explore startups’ evolutionary phenomenon, it adopts a qualitative abductive methodology, presenting an in-depth study of two innovative Italian start-ups. The research is based on two steps. In the first one, the authors collected secondary data from start-ups’ reports and documents, financial indicators (when available) and processed them to understand their background. In the second one, the authors conducted ten semi-structured interviews, including face-to-face interviews, phone interviews and video conferences.

The paper presents a relationship-based life cycle model composed of four different stages, depending on the number and role of relationships developed. Indeed, since the beginning, start-ups adopt a relational approach and their evolution involves the shift from the focus on the entrepreneur to the centrality of a network approach based on interconnected relationships. The entering into a new stage of life cycle depends on relationships, mainly based on connected actors and resources shared and combined. Even if a key role is assumed by technology, the main resource is identified in the knowledge concerning the customer/user’s needs that require marketing competencies, human resources, relational capabilities. Thus, the shift from one stage to the next in the start-up’s life cycle is possible thanks to a parallel shift from a focus on the activities to a focus on those strategic and heterogeneous actors that ensure activities.

In a traditional perspective, the start-up’s life cycle depends on activities, financial resources and revenues, as stated by previous life cycle models. In a different perspective, as depicted in our analysis, the evolution of a start-up depends on the portfolio of their business relationships. The role of business relationships is hence to facilitate the interconnections within specialized key actors, which allow start-ups to access strategic resources. These resources are essential in order to develop the activities that characterize the specific stage of the life cycle.

The purpose of this study is the detection and comparison of distinctive features of Gazelle firms (GFs) at three stages evolution outside the typical boundaries.

The study uses Analysis of Variance and logistic regression to tests the performance of 2427 gazelles for (GFs) a five-year period (2015–2020).

The study found that GFs prediction probability is low. In their second and third stages of evolution (initial growth and continuing growth), the gazelle growth effects appear. They are more effective in terms of profitability and turnover due to increasing sales and size.

This study shows that stakeholders should give preference to GFs that demonstrate long-term (steady) growth. Such firms are more efficient and financially stable than firms with high short-term growth.

The present study identifies patterns in the generation and development of GFs in high-tech industries outside the typical boundaries.

IFAC's Management Accounting Practice Statement Number 1, revised in 1998, is concerned with management accounting practices. This research note describes an operationalization of its conception of the evolution of management accounting. The paper is informed by experience in developing and applying an IFAC-based model to survey the stage of evolution of the management accounting practices in a United Kingdom industry sector. The model is intrinsically interesting and has the potential for replication in other contexts and in comparative cross-national, inter-industry or longitudinal studies.