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This paper aims to propose a framework to assess the readiness of Brazilian small and medium service companies to use Industry 4.0 technologies to improve the efficiency of processes, reinforcing the idea that evaluating and planning the implementation is as important as the use, without the need for big investments.

The paper presents two applications on the readiness level of small and medium enterprises, with support from researchers and stakeholders. The literature seems to focus more on the maturity level than on providing a sequence of operational steps or decision support. It would lead to better implementation of I4.0 technologies in assessing the company’s readiness level to adopt them.

The authors analyze the relevant case studies in Brazilian small and medium service enterprises based on the proposed framework to investigate the main challenges and hardships for Industry 4.0 readiness in the current scenario and outline directions to increase their readiness for adopting key Industry 4.0 technologies. Moreover, the case studies consolidate a fundamental advantage to small and medium enterprise service: a guided implementation provides more knowledge about products, processes and I4.0 technologies, even in unsuccessful case studies.

The need was identified when studying market trends with the digital transformation provided by Industry 4.0 technologies and, in parallel, the difficulties of small and medium service companies in adapting to this new scenario. Through the proposed framework, an action plan can be drawn up with well-defined objectives, goals and activities so that the service enterprises can increase their Industry 4.0 readiness level within three months.

A relevant aspect is that this study is based on feedback from stakeholders and managers, which makes the analyses and conclusions from empirical points of view without relevant theoretical knowledge of the relationship between I4.0 technologies. Therefore, the proposed framework made it possible to diagnose the organization’s external and internal environments, allowing the ideal condition and the current situation of the companies to be compared, as argued in the Industry 4.0 readiness literature review.

This study aims to investigate the antecedents of corporate social responsibility (CSR) from the perspective of competitive dynamics and proposes a correlation of CSR between competing firms because rival firms’ engagement in CSR induces the focal firm’s catch-up to keep pace with them.

Using a sample of Chinese listed companies through the lens of firm dyads, and drawing on the awareness-motivation-capability (AMC) framework, a set of contingencies of firms’ competitive catch-up in CSR are examined, including the visibility of its competitors, the interdependence between the focal firm and its competitors and the focal firm’s resource slack.

The empirical results reveal that a focal firm’s CSR is in a positive relationship with that of its competitors, which is strengthened by the visibility of its competitors, the interdependence between the focal firm and its competitors, and is affected by the focal firm’s resource slack.

These findings uncover the interplay of CSR among competitors, enriching our understanding of its antecedents by extending the AMC framework to the CSR context.

The research paper’s purpose is to contribute to the literature by analysing the essential resources and processes required for successful commercialisation, the contemporary challenges and opportunities of artificial intelligence initiatives in Türkiye, and the diverse models and methods employed by these initiatives.

Within the scope of the research, interviews were conducted with 10 entrepreneurs who established artificial intelligence-oriented enterprises in technoparks in Istanbul and Antalya. All 10 interviews were analysed using the MAXQDA20 software tool. Structured qualitative content analysis was used for the data analysis procedure.

Based on the research, external factors have a significant impact on the future growth opportunities of the market. Expanding the client base, gaining international recognition, and securing financing are crucial for success. However, the findings reveal challenges in the relatively young local ecosystem. One major criticism is the lack of support in marketing and sales activities for refined products. To address this, providing financial incentives and knowledge transfer to those in need is vital.

Since the research was conducted only with entrepreneurs who established and successfully commercialised artificial intelligence-oriented enterprises, it is recommended that future studies be performed with a widespread sample group, considering this limited situation. Furthermore, to overcome survivorship bias, it is recommended that posterior studies include failed commercialisation attempts in AI ventures.

It can be argued that there is no deliberate approach or model for commercialization. Entrepreneurs often draw from their own prior experiences or observe industry trends. Given the limited financial resources available in the domestic market and the challenge of attracting foreign investors to Turkish brands, entrepreneurs tend to rely on internal approaches for commercialisation.

This research delves into the commercialisation prospects and obstacles encountered by AI start-ups in Türkiye. It comprises qualitative insights into business models, commercialisation approaches, opportunities, and challenges. The data were obtained from interviews with entrepreneurs operating in the industry.

The purpose of this paper is to provide an organizing lens for viewing the distinct contributions to knowledge production from those research communities addressing the impact of competitive strategy on company performance in general, and the influence of cost leadership and differentiation strategy on organizational performance in detail.

The research methodology was based on the PRISMA review, and thematic analysis based on an iterative process of open coding was analyzed and then the sample was analyzed by illustrating the research title, objectives, method, data analysis, sample size, variables and country.

The main factor that influenced the competitive strategy is strategic growth; strategic growth has a significant influence on competitive strategy. Furthermore, competitive strategy will boost firm network, performance measurement and organization behavior. In the same way, the internal goal factor will enhance organizational effectiveness. Also, a differentiation strategy will support management practice factors, strategic positions, product price, product characteristics and company performance.

This study contributes to the literature by identifying a framework of competitive strategy factors, company performance factors, cost leadership strategy factors, differentiation strategy factors and competitive strategy with global market factors. This study provides a complete picture and description of the resulting body knowledge in competitive strategy and organizational performance.

Theories are crucial for addressing research questions and advancing the boundaries of knowledge. However, in the field of strategic management, the existence of diverse schools of thought from various disciplines, including economics, politics, and sociology, poses significant challenges for researchers seeking to develop theories for argumentation and theorization. In this study, we have conceptualized a novel approach to selecting an appropriate theory for addressing specific research questions.

Thought experiment, disciplined imagination, and a conceptual examination of a diverse set of theories.

Because the central focus in the field of strategic management revolves around how firms achieve sustainable high performance, a research question should initially clarify the fundamental phenomenological issues it aims to address. Subsequently, the process of problematization should identify the ontological assumptions and premises that establish a connection between the research question and existing theories. Finally, the identification and abstraction of rhetorical concepts derived from these assumptions and premises lead to theory selection criteria, namely connectedness, reliability, parsimoniousness, and falsifiability.

Although we believe that our model for theory selection is generalizable to a wide range of management disciplines, we have primarily focused on its application in the field of strategic management. Future work could validate and further explore the applicability and effectiveness of this model in selecting appropriate theories for conceptual development in other domains.

While many researchers have proposed methods for writing theoretical papers, few have provided suggestions specifically focused on theory selection. This paper stands out as one of the few that not only attempts to address this gap but successfully develops a comprehensive model for theory selection.

The study investigates the connections that university buildings and campuses establish with their environments and the effects of their environments on universities. Many factors influence the location of universities in a particular region. The initial university settlement and the subsequent facilities needed by university branches, colleges, or faculties are related to each other by the time parameter Istanbul, a historical city that is also Turkey’s largest, hosts several state and founding universities. This study investigates the connections between the urban areas where university campuses in Istanbul are located within the city and the specific characteristics of universities.

We evaluate the data on university locations in the city to determine the relationships between their establishment date, size, type, place of location in the city, and unique characteristics. The analysis is based on data for occupancy rate, satisfaction level, university ranking, and space area per student.

Results: Campus areas are affected by the availability of public transport and other amenities in urban areas. There are also interactions between meeting students’ satisfaction, university ranking, and public perceptions of the university and campus location in the city.

This study investigates the connections between the urban areas where university campuses in Istanbul are located within the city and the specific characteristics of universities.

Scholarly interest in the business effects of organised crime (OC) has recently increased. This study aims to conduct a systematic literature review (SLR) on the conditions under which OC could pose a threat to or take control of firms within a particular context.

We use narrative synthesis and thematic analysis, with a sample of 46 theoretical and empirical studies published over the past 30 years on the relationship between OC and firms within the disciplines of Business, Management and Accounting (BMA).

SLR and thematic analysis show that scholarly interest has focused on four key domains: OC as a firm, the impact of OC on firms, firms’ efforts to counter OC’s influence and governmental interventions. Using medical metaphors, we also develop a diagram depicting the interplay between OC and firms within the BMA literature.

This study contributes to the literature shaping an agenda to steer future research towards these four key themes. The effectiveness of anti-OC tools and measures depends on a thorough understanding of local norms, behaviours and business practices. In addition to measurement and methodological challenges, several grey areas remain, including the distinction between criminal enterprises and legitimate businesses. Ambiguities also surround the circumstances under which the OC preys upon firms or employs them to establish dominance over a territory.

This study aims to investigate the impact of supply chain concentration (SCC) on corporate research and development (R&D) investment and determine the moderating roles of industry concentration and financing constraints on the relationship between SCC and R&D investment.

The study collected data from Chinese listed companies, used the fixed effects model to test the research hypotheses and further used the two-stage Heckman test and propensity score matching (PSM) to address potential endogeneity issues.

The result reveals a negative impact of SCC on corporate R&D investment. In addition, industry concentration mitigates the negative impact of SCC on corporate R&D investment, but financing constraints strengthen the negative impact.

This study introduces the concept of SCC and empirically tests its effect on R&D investment, further explaining the lack of corporate innovation. This study inspires companies to strengthen SC management and weigh the level of SCC with environmental factors.

Through empirical research, this study aims to explore the role of competition and cooperation in coupling open innovation (OI).

In this study, the hierarchical regression analysis method was used to test each hypothesis.

Cooperation has an inverted U-shaped moderating effect between coupling OI and innovation performance. Competition negatively moderates the relationship between inbound-oriented coupling OI and innovation performance, and has an inverted U-shaped moderating effect between outbound-oriented coupling OI and innovation performance. When competition and cooperation coexist, competition will passivate the moderating effect of cooperation between inbound-oriented coupling OI and innovation performance, and sharpen the moderating effect of cooperation between outbound-oriented coupling OI and innovation performance.

The role of competition and cooperation on different types of coupled innovation is studied for the first time. This research greatly enriches the theory of the effect of innovation network on innovation performance.

With the rapid development of social media, many organizations have begun to attach importance to social media platforms. This research studies the management and the use of social media in academic music libraries, taking the Center for Chinese Music Studies of the Chinese University of Hong Kong (CCMS) as a case study.

We conducted a sentiment analysis of posts on Facebook’s public page to analyze the reaction to the posts with some exploratory analysis, including the communication trend and relevant factors that affect user interaction.

Our results show that the Facebook channel for the library has a good publicity effect and active interaction, but the number of posts and interactions has a downward trend. Therefore, the library needs to pay more attention to the management of the Facebook channel and take adequate measures to improve the quality of posts to increase interaction.

Few studies have analyzed existing data directly collected from social media by programming based on sentiment analysis and natural language processing technology to explore potential methods to promote music libraries, especially in East Asia, and about traditional music.