Nowadays, strategic planning and the establishment of long-term objectives are pivotal for companies from diverse economies based on geographical location, demographic distribution, financial challenges, and distinct customer portfolios. Defining strategic goals is vital more than ever however requires acceptance, adoption, and execution by the entire workforce. In this sense, this paper presents an integrated methodology that combines the Balanced Scorecard and the Interval-Valued Hesitant Fuzzy DEMATEL approaches to enhance strategic management in a Medical Device SME located in Istanbul-Turkey. The proposed approach aims to provide a holistic perspective on organizational performance and facilitate decision-making processes for sustainable growth and competitive advantage.

The main objective of this article is to provide a theoretical and conceptual framework encompassing concepts such as the supply chain, and supply chain performance. Furthermore, it aims to examine empirical research on the relationship between the perspectives of the Balanced Scorecard and supply chain performance. Finally, the article intends to present the findings and engage in discussions. To achieve this, a positivist epistemological approach was adopted, employing a quantitative methodology. A sample of 85 companies from the automotive industry in Morocco was selected for this study. After data collection, the structural equation method was employed using Smart PLS 3 software to test and confirm the hypotheses as well as the research model proposed. In conclusion, the results of this study highlight the positive impact of the four perspectives of the Balanced Scorecard on supply chain performance within automotive industry companies in the northern region of Morocco.

This study aims to discover the relationship between CMA Techniques and Supply Chain Performance at logistics enterprises in Vietnam. Based on qualitative research methods combined with quantitative research, the survey subjects were 300 accounting staff and managers of large logistics enterprises in Vietnam. Qualitative research is used to summarize the business situation of the companies, build research models and hypotheses based on literature review and get opinions from the managers and accountants about the quality of the questionnaire. The study has developed a scale to evaluate the Supply Chain Performance of the businesses according to the Balanced Scorecard model. Quantitative research is used to measure and explain the relationship between factors in the model using SPSS and AMOS tools. The results of the linear structural model show that CMA Techniques have a positive impact on the Supply Chain Performance of logistics businesses in Vietnam. This study also demonstrates that CMA Techniques have a positive impact on Financial Performance, Internal Business Process, Learning and Growth, Customer Perspectives of the businesses. Based on these findings, the author proposes recommendations for governments and the companies to improve the effectiveness of CMA Techniques, thereby improving their Supply Chain Performance.

This research aimed to 1) study the success factors for knowledge management through electronics industry supply chains, and 2) study guidelines and recommendations regarding the success factors for knowledge management through electronics industry supply chains. The study employed the quantitative research methodology. The statistical devices used included frequency, percentage and Structure Equation Modeling (SEM). The population and sample group comprised executives of the electronics industry in the electronics and electrical appliances sector in Thailand. The results revealed that the factors regarding the information technology system, leadership support and knowledge management had positive effects on the success of the knowledge management through electronics industry supply chains with the statistical significance (β) of 0.519, 0.621 and 0.448, respectively. However, the factors regarding human resource management affected the success of the knowledge management negatively at the statistical significance of 0.323. As for the effects of variables on the success of the knowledge management, it was found that the factors with the most positive indirect effects (IE) and total effects (TE) were those regarding 1) leadership support (IE = 0.278, TE = 0.278), 2) information technology system (IE = 0.233, TE = 0.233), and 3) knowledge management, which had a positive direct effect (DE) at 0.448 and a total effect (TE) at 0.448. However, the factors regarding human resource management had a negative indirect effect (IE) on the success of the knowledge management at -0.145.

The main objective of the present research is to evaluate the influence between just-in-time technique (JIT) and total quality management TQM in project performance evaluation (PPE) in the paint industry; and to identify the important factors that should be considered for the successful application of JIT in project management in the paint industry ar Riyadh Governorate. A questionnaire was distributed to administrators, economists and accountants in the paint industry. The study used the partial least squares program for analysis purposes. The results indicated that the just-in-time technique has a positive impact on the evaluation of project performance in the balanced scorecard in its dimensions (financial, customers and internal operations), and a negative impact on the growth and learning dimension. The results also revealed a positive impact of total quality management on the evaluation of project performance in all dimensions of the balanced scorecard, and it plays an important mediating role in improving the impact of total quality management on the evaluation of performance by the balanced scorecard.

The study aimed to explore The Role of Big Data in Improving the Balanced Scorecard in Jordanian Commercial Banks. The descriptive approach was employed, and the quantitative method was adopted to achieve the study’s objectives and test its hypotheses. A questionnaire tool was developed, consisting of four sections for big data and four sections for the balanced scorecard, comprising a total of 48 items. The validity and reliability of the tool were verified. The questionnaire was allocated to a sample of 400 employees of the study community which is the Jordanian commercial banks. The study's findings revealed that big data has a statistically significant impact on enhancing the balanced scorecard in Jordanian commercial banks. Dimensions of big data, such as "variety" and "veracity," had a positive and direct effect on improving all aspects of the balanced scorecard, including financial performance, customer service, learning, and growth. On the other hand, the impact of "volume" and "velocity" was limited or statistically insignificant in some aspects. According to multiple regression analyses, big data contributes to explaining 82% of the improvements observed in the balanced scorecard, highlighting the importance of investing in big data to enhance operational and financial performance.

Applying Roger's Theory of Diffusion Innovation (1962) and Davis's Model of Technology Acceptance (1986) [Davis, F.D. (1986). A technology acceptance model for empirically testing new end user information systems: theory and results. Doctoral dissertation. Cambridge, MA: Massachusetts Institute of Technology.], this study examines the factors that influence the decision-making of the enterprises in application of balanced scorecard (BSC) in Vietnamese hospitality firms. An analysis of 315 hotel managers indicates that managers' perceptions of usefulness and ability to acquire new knowledge significantly influence the decision to use the balanced scorecard in Vietnamese hospitality firms. The paper contributes lessons to literature and some valuable experiences of the BSC application to reality for not only firms in Vietnam but also the other business units in other countries.

The purpose of this paper is to identify the relationship between the determinants of internationalisation and innovation on balanced scorecard (BSC) among Malaysian small and medium enterprises (SMEs). Internationalisation covers the dimensions of knowledge, trust, commitment and opportunity development, which can benefit the firm performance in Malaysia by increasing the involvement of SMEs in international business activities. A sample of 202 firms was considered for this study and Structural Equation Modelling (SEM) was used. The dimensions of knowledge, trust, commitment and opportunity development were observed to examine the proposed hypotheses. The results indicate that internationalisation as a whole; such as knowledge, trust, commitment and opportunity development played an important role in innovation and balanced scorecard among Ma-laysian SMEs. However, this also can solve the existing myth of a role in the internationalisation on innovation towards a balanced scorecard of SMEs in Malaysia because family businesses are a critical pillar of many Malaysian enterprises. Therefore, this research conveys an understanding to the owners and managers to quickly achieve innovation and balanced scorecard results. Finally, this study brings some conclusions to the policy makers and regulators as well.

The paper addressed the following research problem: Is the DEA (Data Envelopment Analysis) a suitable method of measuring and improving the performance of a company? Is it possible to calculate the goal values of the key performance indicators based on the BSC (Balanced Scorecard) principles using the DEA results? Is it possible to link the results of the BSC method and the DEA method to increase business performance? The aim of the research was to find out which financial indicators of the company are key performance indicators. We selected the key performance indicators using the BSC principles. These indicators were then applied as inputs/outputs in the DEA model. The partial aim was also to propose goal values for selected key performance indicators. The analysis was carried out on a sample of companies operating in the sphere of heat industry in Slovakia. The sample was created to represent businesses that have problems with their performance as well as those who do not have any problem. When choosing the sample, we made use of Altman's Z-score. We then calculated the values of the selected financial indicators. The correlation matrix and the BSC principles were applied to select key performance indicators. We also made use of the DEA method. This nonparametric method can be applied in the field of business efficiency, financial health, and performance evaluation. The DEA CCR input-oriented model was designed. We see the application of the DEA method in assessing financial health and performance of a company as well as the DEA CCR model itself as the main contributions of this paper. The research also paid attention to the calculation of the goal values of key performance indicators that enter the BSC as goal values. Using these goal values, a company may become more stable and therefore competitive. This research confirmed the possibility of integrating BSC and DEA.

This paper presents an empirical investigation to identify the effects of different factors on the performance of North western public hospitals in Vietnam. Data were collected by using questionnaire delivered to 426 participants drawing from 42 public hospitals in the Northwest provinces of Vietnam. The study used correlation regression to determine the effects of different factors on the performance of the hospitals. The study used balanced score card method to study the effects of non-financial along with financial factors on the performance of the hospitals. The results show that financial figures were the most important factors influencing on the performance of the hospitals followed by customer, mission, internal process, training and staff development. Based on the research results, some key recommendations were proposed aiming to improve the performance of the public hospitals in Vietnam.