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The relationship between robots and spirituality in the workplace is an interesting and evolving area of research that could provide important insights into the role of technology in promoting human well-being and personal growth. Robots are becoming increasingly common in the workplace and their functions in the business world are increasing. The use of robots in the workplace can affect people's spiritual values. Spiritual values such as being successful in their work, providing a sense of purpose and satisfaction, and feeling valued and important are important. The use of robots in the workplace may cause some people to take over many of the tasks that their jobs once did. In this case, employees may feel that their work no longer makes sense and may experience a loss of motivation. The fact that robots don't need the skills and experience of humans can make people feel inadequate in their jobs. However, the use of robots in the workplace can also support people's spiritual values. When robots work with humans, they have responsibilities such as interacting with them, showing empathy, respecting coworkers, and treating humans appropriately. This is important for people's mental and emotional health in the workplace. This approach will help people in the workplace work successfully and happily with robots. The use of robots in the workplace raises moral and ethical questions. In this section, research on the production of artificial intelligence-equipped robots and other intelligent technological machines and their use in organizations is evaluated within the framework of spirituality.

Background: Both social work activities and social initiatives, innovative solutions today it has to support the development and change of the society by producing. The purpose of this study is to investigate the impact of social entrepreneurship on firm performance of Turkey small and medium enterprises (SMEs) located in the Chinese ethnic community. In addition, the authors also examined the moderator role of social embeddedness in the relationship between social entrepreneurship and the Chinese ethnic community of Turkey SMEs on firm performance.

Because it is seen that the decomposition validity is achieved between the dimensions for HTMT values, the current study, using the survey-based methodology, used structural equation modeling to achieve the research objectives. Ques-tionnaires were issued among 628 participants in selected international companies in Turkey and China. To mitigate any uncertainty and errors, the questionnaires were distributed face-to-face by hand (in Turkey), online (in China). A total of 274 questionnaires were used for the analysis which makes up to the 53.6% of the response rate. The findings of this study show that social entrepreneurial behavior influences organizational performance with a significant mediation between family ties and social networks and a strong moderation in entrepreneurial leadership. The findings of the present study largely agreed with the results of the hypothesis. The results of this study will give an idea about how social entrepreneurial behavior and entrepreneurial leadership can affect organizational performance and how social embeddedness affects this relationship.

Outcomes will be important to SME leaders as they seek to link results, practices and results. SME leaders will better understand the role of social entrepreneurial behaviour and entrepreneurial leadership in corporate performance. This will apply in business practice and leadership in striving to improve the level of performance.

In this study, Turkey and China are limited to 274 participants in international companies. Because the findings of this study are limited to the sample it represents, there is no generalization of these results for all countries. However, given that the number of studies on this subject is very inadequate, this research is important in terms of shedding light on the work to be carried out next.

This empirical research confirms the impact of social entrepreneurial behavior on organizational performance. Social entrepreneurial behavior integrates organizational performance, family ties, social networking and entrepreneurial leadership and empirically tests the relationship between them. Trade relations will ensure the interlocking of the countries involved in the research, and thus, improve the relations of the countries.

The main aim of this study is to investigate the impact of social entrepreneurship on firm performance of Turkey SMEs located in the Chinese ethnic community. Trade relations will ensure the interlocking of the countries involved in the research and thus improve the relations of the countries. The authors believe that social entrepreneurial behaviour will close the gap in important mediation and entrepreneurial leadership between family ties and social networks and positively impact organisational performance. At the same time, as social capital is required for social work and social service is currently dealing with social capital at micro (bonding), mezzo (bridging) and macro (binding) levels, the authors recommend that studies be carried out that will contribute to the theoretical, research or application literature for the variables involved in the study.

This study aims to identify articles examining human-robot interaction and the effects of robotic systems on employment.

In this research, electronic searches were performed for articles published between 2000 and 2022 in Emerald, Springer, PubMed, Science Direct, Wiley and Google Scholar. In the searches of robotic systems with keywords such as “motivation, job satisfaction, job loss, performance, job giving,” 5 quantitative and 5 qualitative studies were included in the systematic review. The selected research was conducted using the Johanna Briggs Analytical Cross-Sectional Studies Checklist from the Joanna Briggs Institute (JBI) critical evaluation lists and the JBI Critical Appraisal Checklist for Qualitative Research, depending on their type. The included studies are mostly on employee-robot collaboration.

Although the majority of the articles examined in this study are included in keywords or titles, it is determined that there is a gap in descriptive quantitative studies in the literature on the effects of employee-robot collaboration, robotic systems and robotic systems on variables such as motivation, job satisfaction, job loss, performance and employment, although they do not mention a framework that directly investigates human-robot interaction and the effects of robotic systems on employment.

There are several limitations in this study. One of them is that, although the databases are comprehensively scanned, only studies published in English between 2000 and 2022 are included in the systematic review. Another limitation is the heterogeneity between studies.

As a result of the authors’ findings, the practical effects of the research are reflected as follows: It serves as a guide for future studies to fill the gap in the field, especially for academics and researchers working in the field of social sciences on robotic systems and intelligent automations. In addition to the qualitative studies on this subject, there is a need for the use of robotic systems in the field of human resources and management and quantitative studies with more sample sizes, especially at the corporate (firms) and individual (employees) level. Considering that the number of studies on this subject is very insufficient, this research is important in terms of shedding light on future studies.

The authors believe that the impact of robotic systems on employment is one of the few conceptual articles that systematically examines 6 dimensions (job satisfaction, performance, job loss, employment, motivation, employment).

The banking sector in West Asia has always experienced positive growth except for Palestine. Apart from some negligible outlying outcomes in some countries that have faced political crises and war, most West Asian countries have gained bank profitability and efficiency. However, the stability in the banking sector has been rarely examined in the literature. Hence, this study sheds light on examining bank stability by considering 12 countries in West Asia.

A fixed effect panel data regression analysis is employed on strongly balanced panel data using data from 2004 to 2018.

Results reveal that the net interest margin has a positive relationship with bank stability. The bank’s stability rises as the net interest margin improves. Furthermore, the non-interest income reveals a positive significant impact on the stability of banks, depicting that the increase in non-interest income increases the stability of banks. Additionally, the non-interest expense also reveals positive significant results with the stability of banks. Nevertheless, leverage ratio and long-term debt portray a negative significant impact on banks’ stability. The finding reveals that higher long-term debt and leverage ratios may decrease the stability of the banks in West Asia.

Overall, the authors’ findings add to the literature on the stability of the banks by providing some new but significant information. Some of the recommendations may be beneficial to the long-term success of 12 Western Asian countries’ banks.

The study examines the stability of banks by incorporating both profitability and operating efficiency along with net-interest income, which extends to the current literature’s insight.

Changing ecosystems with digitalisation, the value of information affects all sub-ecosystems, and due to societal changes, management approaches have started to be implemented. This new administration digitalisation, which is the basis of their strategy, made it mandatory for them to adapt to technology. This article details the theoretical basis of the business ecosystem to investigate the integration of human-computer interaction (HCI) technology and platform business ecosystem into the artificial intelligence (AI) environment and to create practicality for the intellectual development of platform business strategy ecosystem management. Then, in the context of textile e-commerce, the intelligent clothing ecosystem is recommended, and the structure of the smart clothing ecosystem is created. A flexible production planning model with multiple constraints and maximum cost savings has been developed within system constraints and objective function scope. The standard genetic algorithm after optimisation was used to solve the aim of model function (based on double-layer integer coding). In the context of the parameters of the algorithm and textile layout, the algorithm was calculated with the MATLAB simulation tool, and then a textile experiment was carried out to solve the problem of system management. Finally, the audio, interactive customer survey results were analysed with structural equation modelling, and a human-computer interactive customer trust model was proposed. The results indicate that the calculation results of the objective function with 6 order sizes and 40 order sizes tend to be good and that the 6th order, respectively, tends to be good. The Gantt chart, calculated by the optimisation algorithm, can show the equipment selection strategy, start time and end time of each order in different workshops. The combination of each operation planning strategy is the production planning chart that corresponds to the order. It is thought that this study, AI-oriented HCI technology for future studies, can solve the strategic management problem of the platform business ecosystem, realise the efficient ecological functioning of the system and benefit businesses in this context.

Purpose: Innovation is a multi-dimensional phenomenon influenced at the organisational level by internal and external factors that can determine how innovative an organisation can be, determining a firm’s business performance. This chapter measures and predicts how innovative a company can be, considering key internal factors using modern data analytics/science.

Need for Study: The increasing challenge of modern business operations is affected by how quickly, sustainably, effectively, and efficiently companies can innovate to mitigate the dynamic challenges of current business environments and evolving customer needs. The ability to predict, measure, and manage innovation becomes necessary to ensure that businesses are fit for purpose.

Methodology: A model was designed following the study hypotheses and statistically tested. A historical data sample from the OECD global industry dataset for eight years was used for the analysis. The ordinary least square method was used to test for model fit. Also, in machine learning engineering, predictive analysis using the multivariate linear regression analysis method was carried out.

Findings: The results support the hypotheses that an organisation’s capacity to be innovative can be measured and predicted, and it is influenced by a good number of internal factors or independent variables at various degrees.

Practical Implications: Managers must understand how to measure and predict innovation metrics to manage innovation better, ultimately leading to better business outcomes and performance. Also proposed are new measurement matrices for innovation management: innovation capacity (I_C), business innovation value (BIV), innovation creation factor (ICF), and a practical data-driven innovation management and prediction system.