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The purpose of this paper is to determine the factors that affect Industry 4.0 applications, the expected impacts of Industry 4.0 applications in companies and to analyze the importance of these factors and the importance of expected impacts correlatively.

This paper provides an empirical analysis of the factors affecting the adoption of Industry 4.0 transformation and its impacts on the companies. The paper is based on 103 valid answers to a questionnaire-survey distributed among companies in Turkey. The Pearson correlation analysis was conducted to determine the correlation between independent variables and dependent variables. Regression analyses were used to test the proposed hypotheses. A multiple regression analysis was used to investigate the causal relationship between independent and dependent variables. Linear regression method and stepwise regression method was employed for regression analyses. The factors that influence Industry 4.0 applications were determined as company size, technological level of products, budget allocation for R&D department, level of lean applications, level of agility/flexibility and level of automation; and the expected impacts of Industry 4.0 applications were determined as traceability of production processes, traceability of supply chain, flexibility of supply chains, communication between the partners of supply chain, productivity, real-time data analysis, integration between companies and integration in the company according to the literature review

The results of this research study revealed that, there is a stronger relationship between level of Industry 4.0 transformation and level of automation than there is between Industry 4.0 transformation and the other independent variables. From the analyses conducted, it can be stated that budget allocation for R&D and level of lean applications and level of automation had greater impacts on Industry 4.0 transformation than company size has. The independent variables included in the regression analysis had a positive effect on Industry 4.0 transformation of companies. However the effects of company size, technological level of products and level of agility/flexibility on Industry 4.0 transformation was weak. When the impacts of Industry 4.0 on companies were analyzed, it can be stated that there is a stronger relationship between Industry 4.0 transformation and real-time data analysis, traceability of production processes, integration in companies and productivity than there is between Industry 4.0 transformation and integration between companies, traceability of supply chains, flexibility of supply chains and communication between the partners of supply chain. It was determined that Industry 4.0 transformation generally impacts internal factors of company, while Industry 4.0 had limited impacts on the supply chains.

Although there are studies that separately investigated the factors affecting Industry 4.0 transformation and the impacts of Industry 4.0 transformation on companies, the present study provides important contributions to the literature in terms of considering the importance levels of the factors affecting Industry 4.0 transformation and the importance level of impacts of Industry 4.0 transformation on companies as a whole and in relation to each other.

The purpose of this paper is to operationalise and apply a three-level analysis of double stimulation in a Change Laboratory with teachers.

Within qualitative inquiry, this Change Laboratory intervention was conducted as case study, by way of an intensive analysis of an individual unit. The macro-level deals with the societal problem and the collective solution found to tackle it. An intermediate level looks at the Change Laboratory as a methodology able to boost expansive learning through chains of first and second stimuli. The micro-level analyses the participants’ interactions during the sessions and traces the terms connected to the first and second stimulus.

This analysis suggests that the conflicts of motives experienced by the participants at the micro level refer to the aggravated contradiction identified at the macro level. Conflicts of motives seem to be superior in number during the first block of sessions, when the first stimuli are analysed. The micro analysis indicates the 6th session as the turning point of the intervention, when the participants take the auxiliary stimulus and turn it into and effective and meaningful sign. The intermediate level helps to trace the third transition from the formation of the second stimulus to its implementation, reflection upon and further development and generalisation.

Vygotsky’s method of double stimulation is crucial to develop one’s agency and to explain how individuals deliberately influence events. Yet the literature is fragmented and made of brief accounts, and this paper for the first time inspects double stimulation on different levels within a Change Laboratory intervention with teachers.

Tourism employment is very diverse ranging from precarious, exploitative study to high-quality workplaces. However, poor employment images dominate the tourism industry, which makes attracting employees difficult. This study aims to examine the processes that lead to such image construction.

Using a qualitative methodology, the study develops a multilevel framing cycle comprising a media analysis of newspapers and magazines (macro-level), a conversation analysis of peer communication/negotiations (meso-level) and a content analysis of single employee/manager interviews (micro-level); and a comparative analysis of the macro-, meso- and micro-level findings.

The multilevel frame cycle identifies image-construction processes that pass through working conditions, payment, seasonality and human resource problems. These processes are shaped by the two cross-level dynamics of radicalization and attenuation. The latter consists of rationalized and repressed framings of tourism employment images (TEI) and the former consists of ideological and emotional framings.

Tourism stakeholders should support and participate in a pragmatic and open dialog to overcome the radicalization and attenuation of tourism employment. The key players require a new deal to end the “information warfare” on tourism employment, inaugurating a new era of collaborative and constructive employment relations.

This study develops a holistic and dynamic understanding of TEI by exploring how media products, peer groups and employees/managers jointly construct these images. It demonstrates how attenuation and radicalization shape poor employment images in tourism. It argues that these dynamics “lock in” the status-quo, create mutual recrimination between employers and employees and counteract common strategies that could otherwise improve employment structures and the image of tourism.

Technological innovations provide huge opportunities to expand and revolutionize the scope of products and services offered. This is particularly true for tourism, which is undergoing significant changes due to the development of new technologies. The level of technology diffusion depends on several factors like the exchange of information among peers, and the attitude and shared perception among the contributors. The aim of the study is to explore the diffusion of technology in tourism with a specific focus on the social media discourse around new technologies. Thus, the paper investigates the level of interest in these new technologies analysing the information exchange occurring between individuals on Twitter in order to explore the influence of reciprocal networking.

To capture the attitudes expressed in the industry, the study analyses the ongoing discourse on Twitter as a proxy for the participants “interest in new technologies. Through a social network analysis of the tweets and retweets conducted over a period of nine months, the research maps the level of information exchange about the diffusion of new technologies. Moreover, the sentiment analysis provides an interesting overview of the individuals” attitudes towards the awareness or the adoption of new technologies.

Our analysis has provided several insights: (1) the information network on blockchain in tourism consists of participants who change very quickly over time (high turnover of accounts); (2) some contributors have an extremely important role in influencing the flow of information in the system (information centralization), they can have a generalist (discussing several topics) or a specialist (focusing on a specific topic) behaviour and this strategic choice influences their network's structure; (3) these central nodes also have an impact on the definition of positive and negative sentiment towards a topic (sentiment influencer).

The paper contributes to the literature on technology diffusion, by focusing on one of the preconditions of diffusion that is the shared positive attitude towards technological innovation. More specifically, we adopt a network-based approach, which is useful to explain the level of information exchange and the public discourse that can impact the shared perception and attitude towards technological innovation. The study also highlights the role of knowledge brokers in influencing this public discourse. Future studies can deepen the association between positive perception, higher levels of information exchange and increasing usage of specific technologies. Our results also suggest further exploring the opportunity to combine social media data and other sources of information to shed more light on the technological innovation diffusion processes.

This paper shows how practitioners can benefit from the analysis of information exchange about new technologies in tourism adopting a network perspective with the aim of understanding the level of influence among contributors. Moreover, the increasing interest in blockchain technology and the potential combination between social media data and other sources of information can offer promising insights.

The present study explores the level of technology diffusion through the analysis of information exchange on social media (Twitter). Furthermore, the dynamics of individual user behaviour offers a better understanding about media effects.

While previous research is focused on the users' perception towards the development of new technologies in tourism, the aim of this study is to investigate the dynamics behind the level of diffusion of information and awareness about these new technologies, which still represents an unexplored area of research.

The purpose of the study is to identify the strengths, weaknesses, opportunities and threats in higher education regarding distance learning system in Pakistan.

A mixed-method research design was used in this study. The population of the study was all the previous students of research work and all the teachers of these students working at MPhil and PhD level in AIOU in Pakistan. Stratified random sampling technique was used in this study. This study used the questionnaire and interview technique to collect data. Data of questionnaire was in numbers and data of interview was narrative. So it was the need of the study that a mixed-method approach, i.e. both quantitative and qualitative techniques should be used in this study.

The findings of the study show that AIOU has also strengths, weaknesses, opportunities and threats in higher education related to distance education like all the formal and distance universities of Pakistan and World. This study reflected that AIOU is a great blessing for those who cannot acquire their education regularly because of financial/family problems or they are job holders. But this study also described that at higher level students are facing a lot of problems especially there is a delay in research process and provision of no scholarships to students. The teachers have a low salary package than the other public universities of Pakistan and a lot of responsibilities to attend meetings, seminars, conferences and workshops. So they have less time for research work. And AIOU provides them fewer opportunities to go abroad for further studies or to attend conferences/seminars. This study recommended that there should be adopted such policies in AIOU that students could get their study materials, assignments duration, workshops schedule and degrees in time, the teachers of the concerned departments should allow to take more in numbers the students under their supervision, the pay package for the teachers working at MPhil and PhD level should be raised and the opportunities for the faculty members to go.

This study is limited to analyze the higher education system especially the distance learning system in Pakistan.

This study has indicated the strengths, weaknesses, opportunities and threats in higher education which the AIOU is facing recently and the policymakers can develop plans/strategies to make better the distance learning system especially at higher level in Pakistan. This study can be helpful for the stakeholders who are interested in distance learning system. This study was conducted at higher level in the distance learning system but it can open the ways for the other researchers to conduct research in other disciplines related to distance education, i.e. at matric level, F.A/F.SC, B.Sc programs, Master level and M.Sc programs at AIOU.

Through this study, it can be acknowledged how the AIOU is providing the opportunity of education to a large number of people in the society who cannot study regularly in the formal institutions especially those who are job holders, some financial problems and women who have some family problems and above one million people are benefitting from AIOU in Pakistan and world.

This study is original in this respect because the data has been collected from the participants, i.e. students and teachers of AIOU. And it has also great value because this is the first SWOT analysis which has been conducted in this university to examine the strengths, weaknesses, opportunities and threats facing AIOU at present time. This study can also become a base for the stakeholders', i.e. policymakers, administration and higher education depart. of Pakistan in developing strategies to improve and amend the distance learning system of Pakistan especially at higher level in AIOU.

This article investigates (in)direct relationships between team-level entrepreneurial orientation and team performance, where team entrepreneurial orientation (EO) is measured as a team-level construct, not as concentration of team members' scores. In this article, the authors present and explore how EO-oriented behaviour within a team affect its performance, taking into account the team's trust in a manager and commitment to team and company goals.

This article focuses on a quantitative analysis of 55 teams operating within a large high-tech manufacturing enterprise, gathered through a traditional survey. The conceptual framework for this research was based on the theories of organisational citizenship, extra-role behaviour and social exchange. The authors explain how contextual factors establish a framework which enables team EO transformation towards higher performance of teams.

The results show that (team) performance benefits from EO-related behaviours. However, individual dimensions of EO are not universally beneficial and need to be combined with a mutual trust and/or commitment to team enterprise's goals to achieve high performance.

The findings provide important insight into which team factors may be targeted at the intervention or support of team members, including managers and immediate superiors who lack an active personality and are not willing to take risks at workplace. The authors adopted EO instruments, mutual trust and commitment from an individual scale to a team one, and also offer new opportunities to analyse such phenomena from a new level and evaluate them from the perspective of team managers.

Born-again global internationalization is a rarely researched topic. Especially process-oriented studies are largely missing. In loss modes concerning their socioemotional wealth (SEW), family businesses take more risks and can be informative examples of born-again global internationalization.

This article analyzes the process of born-again global internationalization of a mature family business triggered by succession in an SEW loss mode. The interplay of dynamic capabilities (DCs) as drivers and SEW preservation guides the in-depth analysis based on an interpretative single case study design.

The analysis reveals a model with (1) the personal and familial level of the business family, (2) the bonding and transfer level between the business family and the family business and (3) the organizational level as three levels of DCs as drivers of born-again global internationalization in family businesses and SEW preservation as a continuously influencing context.

The article contributes to push forward the fragmented level of knowledge in the field of born-again global internationalization of family businesses. It brings together the triggering phase of born-again global internationalization with the later phases (driving successful rapid internationalization). In particular, it explores how the triggering factors on the family level can be translated into the development of capabilities on the firm level to drive successful internationalization. Based on these insights, the article offers novel implications for research and practice.

The socialist political economy with Chinese characteristics reflects the characteristics of ushering into a new era, and the research object thereof shifts to productive forces. Emancipating and developing productive forces and achieving common prosperity become the main theme. Wealth supersedes value as the fundamental category of economic analysis.

The theoretical system of socialist political economy with Chinese characteristics cannot proceed from transcendental theories but is problem-oriented. Leading problems involve development stages and research-level problems.

The economic operation analysis is subject to the goal of optimal allocation of resources with micro-level analysis focused on efficiency and macro-level analysis focused on economic growth and macroeconomic stability also known as economic security. The economic development analysis explores the laws of development and related development concepts in compliance with laws of productive forces. The new development concepts i.e. the innovative coordinated green open and shared development drive the innovation of development theory in political economy.

Accordingly, the political economy cannot study the system only, but also needs to study the problems of economic operation and economic development. Therefore, the theoretical system of the political economy tends to encompass three major parts, namely economic system, economic operation and economic development (including foreign economy). The basic economic system analysis needs to understand the relationship between public ownership and non-public ownership, between distribution according to work and factor payments, and between socialism and market economy from the perspective of coexistence theory, thus transforming institutional advantage into governance advantage.

The purpose of this paper is to examine the relationship between an individual's social capital context and entrepreneurship using a multi-level modelling framework.

This paper uses data from 87,007 individual level observations across 428 regions in 37 countries. The data comes from the 2010 and 2016 Life in Transition Surveys. The paper uses a principal component analysis to identify the different dimensions of an individual's social capital context. Subsequently, a multi-level model is employed examining the relationship between the components of an individual's social capital context and entrepreneurship (which is proxied by an individual's attempt to set up a business), whilst controlling for both country and regional effects.

Greater levels of networking, informal connections and tolerance of others have a significant positive relationship with entrepreneurial activity. Trust of institutions and others have a negative relationship with entrepreneurial activity. Regional and country differences are also important for entrepreneurship, demonstrating the importance of the multi-level and social contextual environment for business development.

Firstly, the authors present a broad, but comprehensive social contextual framework incorporating many measures of social capital when examining the importance of social capital for business development. Secondly, the work provides interesting results on the “bright and dark sides of trust” for entrepreneurship, answering calls for improved understandings on the positive and negative relationships between social capital and entrepreneurial activity. Thirdly, the paper extends the burgeoning but limited number of studies that examine the multi-level contextual environment of entrepreneurial activities.

Railway-level crossings (RLCs) are the point of intersection between rail and road users and are therefore hotpots of road-rail user conflict and catastrophic collisions. The purpose of this study is to assess the risks associated with RLCs and suggest probable reduction measures. Through questionnaires and visual inspection, the authors identify the safety risks, hazards and hazardous events at some railway crossing of Addis Ababa light rail transit (AA-LRT) north-south (N-S) route. The identified risky events are then categorized based on As Low As Reasonably Practicable (ALARP) principle and generic risk ranking matrix. The authors then examine existing safety management measures at railway crossing and assess the need for additional safety management. Five major crossings on the 16.9 km (10.5 mi) N-S line, starting from Menelik II Square to Kality, were considered for the study. This study is carried out by data collection from about 145 stakeholders and the application of statistical data and risk analysis methods. The major findings of this study and the recommendations for improvement are suggested.

The research followed a case study approach. Through questionnaires and visual inspection, the authors identify the safety risks, hazards and hazardous events at some railway crossing of AA-LRT N-S route. The identified risky events are then categorized based on ALARP principle and generic risk ranking matrix. Collected data was then analyzed using SPSS to deduce relationships.

The study findings reveal human factors as the greatest cause of accidents, injury or death. About 22% of hazards identified by category are human factors, whereas 20% are because of technical problems. Intolerable risks stand at 42%, whereas the tolerable risks are at 36% according to risk classification results as per the ALARP model. Because the process of risk management is a long-term cycle, its importance should not be missed at any time.

Because of design considerations of RLCs and the difference in generalized human behaviors for people of a given region, the results are limited to AA-LRT RLCs. This study opens a discourse for detailed evaluations, qualitative and quantitative analysis into the categorized identified hazards. There is also room for additional research into the performance of RLCs aimed at formulating standard necessary features that should be included on RLCs for proper risk control especially in emerging economies.

The research paper is original and has not been submitted for consideration to other journals.