Small and medium entities (SMEs) may not have an appreciable impact on the economy of a country unless they are performing well. In the UAE, the performance of SMEs still appears to be unimpressive despite the actions of the government. Cross-sectional research design and survey methods were used in research work since the managers and employees of SMEs were the primary sources of data. The result from the study revealed that organizational factors positively and significantly impacts SMEs performance. Future researchers will benefit largely from this present study because it will guide them on how and where to focus their research. The findings of the study will assist UAE agencies and institutions in understanding the mediating role of ABC adoption as the key drivers and exert a strong influence on performance for SMEs in UAE. The government and policymakers should look at the involvement of external partners in facilitating innovation activities among SMEs in UAE.

In Dubai, the government alone cannot bring about economic development and provide jobs to all and sundry. Businesses established by individuals and corporate entities aid the government in the provision of jobs to people and contribute to the economic growth and development of a country. The role of SMEs is crucial in most of the countries of the world and they contribute significantly towards provision of employment opportunities in their local communities and development of their economies. The main objective of this study is to examine the factors influencing the performance of SMEs in the UAE. The findings from the analysis found that technological factors and environmental factors have a positive and significant impact on SMEs performance. This study has a significant contribution to the body of literature as it provides a worthy theoretical framework in it. Besides theoretical contribution, this study also provides practical implications to SMEs, government and policymakers. The future direction of this study would enhance the future body of literature.

In this paper, the authors proposed a new framework for Mobile application adoption by unorganized retailers. Unorganized retail is a renowned retail business in India. Unorganized retail is a so-called low-cost retail format where some of the retail stores are Kirana store, Grocery store, provisional store, ready to eat store, mom & pop store, peddlers, Hawkers, and stationery store. Retailers face stiff competition from omnichannel, multi-channel retailers, and e-tailers. To counter this competition, unorganized retailers adopt some Mobile applications which are relevant to their business. While some of the Mobile Applications are WhatsApp business, Facebook page, telegram, blogs, google maps Mandi app, Udaan app, Katha book app, OK credit, Dukan app, and just dial. This paper explains a deep discussion about unorganized retailers, unorganized retailers' contributions to the economy, the Digital India program, and Mobile Application. A new comprehensive framework has been proposed for mobile application adoption by the unorganized retailer after getting insights from theories like Technology Adoption Model (TAM), Extension of Technology Adoption Model (TAM), Technology, Organization and Environment (TOE), and Diffusion of Innovation (DOI). In this research, the author segments three major clusters which influence mobile technology adoption. The three major clusters are Technology, Organization, and Environment. These clusters had 10 constructs that influence mobile technology adoption. This research elaborately discussed the drivers of technology adoption in an unorganized retail context. We close by concluding that mobile application adoption by the unorganized retailer and reshaped the unorganized retail.

Manual labour in slaughterhouses is hazardous work. Workers suffer from injuries and occupational illnesses resulting from repetitive movements with sharp knives. There is a need for a robotic tool which can perform versatile tasks with a high level of precision. This knife must be able to imitate the same primary cuttings of a professional butcher and produce meat products which are acceptable to the end-market. This paper reports the results of a world-wide assessment of the fresh pork meat cuts as a performance indicator of knives specifically adapted for automated operation. These knives included Victorinox knife, bespoke double bladed Uddeholm knife, vibrating knife and novel smart knife with built-in sensing mechanism that detects in real time the contact with meat and cut depth. Physical appearances of cuts were assessed anonymously by independent responders with different backgrounds. All knives were deemed acceptable in terms of cutting quality. There was also no discernible difference of opinion between manual and robot cuts. This indicates that the new knife for robot-assisted cutting is acceptable by market.

This study aims to analyse the total quality management tools for improving service quality and client satisfaction in healthcare settings through a systematic qualitative review. Data was collected through the web of sciences (WOS), Scopus, EBSCO, PubMed, and Medline. Initially, we found 573 articles from all the sources, but after eliminating the non-relevant articles, only 24 usable articles were finalized. Furthermore, 12 articles were purely related to TQM, service quality, and client satisfaction. This study concludes that TQM practices and tools improve service quality and client satisfaction in healthcare organizations. This study provides excellent managerial and practical insights. Managers should implement the TQM tools to improve service quality and client satisfaction. This way, customer satisfaction is enhanced, and patient satisfaction is improved, leading to high operational and overall performance. This study also reveals a need for further studies to clarify the role of TQM tools on service quality and patient satisfaction.

The poor maintenance and usage of the equipment and machines of a vegetable oil manufacturing company adversely affect its competitive advantage. These industries are faced with numerous equipment maintenance challenges in the path to increasing their throughput as well as profitability. To address the said maintenance challenges, process data were obtained for the Overall Equipment Effectiveness (OEE) factors after their Total Productive Maintenance (TPM) implementation in the company. Minitab 21 software was used to analyze the data collected, and the results showed that the mean for quality, availability, and performance obtained were 96.929%, 63.35%, and 61.20%, respectively. This shows that the quality of products is the greatest OEE factor that vegetable oil manufacturing companies must consider meticulously to reduce the six big losses in their production processes. Response Surface Method (RSM) with Central Composite design, with the application of Design Expert 13 software, was used to model, analyze, and optimize the Overall Equipment Effectiveness (OEE) using availability, quality, and performance as the input parameters. The analysis of both the actual and coded values, which is the main contribution of the study, showed that quality has the greatest value followed by availability and performance. It was found that, to effectively reduce the six big losses, the quality, performance, and availability should be targeted as 98.3052%, 81.6022%, and 80.103%, respectively.

This study investigated the effect of strategic planning and total quality management practices on organisational productivity. This study employed a quantitative approach using Jamovi software. Sample data were collected from 167 respondents who are in Tanzania Zambia Railway Authority (TAZARA) management using a structured-questionnaire. Model fit and construct validity were checked using confirmatory factor analysis and correlation matrix while mediation analysis was carried out using GLM procedure. The results of study present that strategic planning has a significant effect on productivity. The results also indicate that customer focus and important innovation foster organizational productivity and partially mediate the relationship between strategic planning and productivity. The study also shows that education and training has no significant effect on productivity and does not mediate strategic planning and productivity association.

The study's major purpose is to determine the factors that affect the settlement of land complaints and propose some policy implications to improve the settlement of land complaints. Experts are asked about the factors that may affect and their impact rates on the settlement of land complaints when the State acquires land. The proposed research model has 5 hypothetical latent variables and 17 hypothetical observed variables. As a result of the model being tested by SPSS 20.0 software, all hypothetical latent variables and hypothetical observed variables satisfy the test criteria. The impact rates of the hypothetical latent variables range from 9.19% to 36.15%. The group of implementing complaint settlement factors has the strongest influence, and the group of legal factors has the weakest influence. Policy proposals include improving settlement procedures and land databases, strengthening facilities and personnel, and perfecting the legal provisions for complaint resolution.