Today's Competitive Environment Research Articles

How to Show You're a "Good Fit" During an Interview

This article discusses strategies for job applicants to effectively demonstrate cultural fit during the interview process. It emphasizes the importance of fit in today's competitive hiring environment, as employers seek candidates who will seamlessly integrate into their team and advance organizational goals. The article outlines ways for applicants to research the company and role thoroughly, align examples of their background to the employer's stated values, highlight enthusiasm for the position and company, provide substantive examples to evidence a compatible work style, and showcase relevant industry knowledge. It presents real examples of how candidates have persuasively shown cultural fit. Overall, the article provides research-based guidance on customizing stories and responses during interviews to communicate passion and compatibility through tangible scenarios that leave hiring managers confident in an applicant's long-term potential for success within their unique culture.

Information sharing's impact on supply chain management, logistics, and organizational performance

This study investigates the relationships between supply chain management (SCM), logistics capability, information sharing, and organisational performance. Data was collected from 120 respondents in [industry/sector] using a quantitative research approach. The results of the analysis indicate that SCM, logistics capability, and information sharing are all positively and significantly related to organisational performance. Effective SCM practices, including integration, collaboration, and strategic planning, are essential for driving organisational success. Logistics capability, including delivery speed, dependability, and flexibility, is crucial in improving customer satisfaction and overall efficiency. Information sharing is a critical enabler of effective SCM and organisational performance, fostering collaboration, decision-making, and innovation. The study also found that demographic factors (gender, age, education) had limited impact on the relationships between the constructs. This suggests that the findings are generally applicable across different demographic segments. Overall, this study's findings highlight the importance of effective SCM, logistics capability, and information sharing as key drivers of organisational performance. Organisations prioritising these factors are more likely to achieve sustainable success in today's competitive business environment.

The Relationship between Quality Control and Corporate Brand Strategy in Operations Management

In today's competitive business environment, quality control and brand strategy are critical factors for corporate success. This paper aims to explore the close relationship between quality control and corporate brand strategy in operational management. Initially, the paper defines quality control and brand strategy and analyzes their importance in modern corporate operations. Subsequently, it elaborates on the role of quality control in enhancing product and service quality, as well as customer satisfaction, and the central position of brand strategy in shaping corporate image, accumulating brand equity, and competing in the market. Through case analysis, the paper reveals how quality control supports the implementation of brand strategy and how brand strategy influences the decision-making and execution of quality control. Finally, the paper discusses the challenges faced by companies in implementing quality control and brand strategy and proposes corresponding countermeasures. The findings of this study emphasize the importance of the synergistic development of quality control and brand strategy and provide guidance and recommendations for corporate practice.

Analysis of Consumer Behavior in Repeat Purchases of a Product

This study analyzes consumer behavior in repeat purchases of a product, specifically focusing on the case of Light Speed Reborn football and futsal shoes, a locally produced brand in Indonesia. In today's competitive industrial environment, companies strive to cultivate loyal customers, as this loyalty provides a strategic advantage in ensuring future product purchases. The observed phenomenon in this study highlights the repetitive buying behavior of consumers towards Light Speed Reborn shoes, despite only minimal changes in the product's color or design. In Samarinda, these shoes consistently sell out, with many football and futsal players purchasing the same model in different colors. This study employs a qualitative descriptive approach to explore the underlying reasons for this repetitive purchasing behavior, aiming to understand the factors that drive consumer loyalty towards this specific product. Findings indicate that factors such as customer satisfaction, product quality, affordability, comfort, trends, environmental influence, and the strong brand image contribute significantly to the consumers' repeat purchases. The results suggest that brand loyalty and perceived value play crucial roles in fostering repeat purchases of Light Speed Reborn shoes in the Indonesian market.

Measuring sustainable performance of OECD countries considering CO2 emissions: A new optimistic-pessimistic distance friction Minimization Model

In today's competitive business environment, evaluating the performance of decision-making units (DMUs) such as countries and institutions is paramount. Data Envelopment Analysis (DEA) is widely used for this purpose. One prevalent model, the Distance Friction Minimization (DFM) method, is effective in devising improvement strategies for low-efficiency DMUs. However, it has limitations as it only assesses the distance of DMUs to the efficient frontier, neglecting the inefficient frontier and providing an overly optimistic assessment. Hence, there is a growing need for methods that consider both frontiers to overcome this issue.In this study, we introduce an enhanced DFM model that integrates both optimistic and pessimistic distance analyses. The research methodology is as follows: IDMU-based CCR and ADMU-based CCR models are designed and implemented to calculate the optimistic and pessimistic efficiency of DMUs, respectively. Then, additive models based on virtual IDMU and ADMU units are designed and implemented. Subsequently, DMUs in both approaches are categorized, and DMUs of the third category of each approach are entered into the respective DFM model. After calculating the distance of each DMU from both efficient and inefficient frontiers, the relative closeness (RC) index is employed to aggregate the distances of DMUs from the efficient and inefficient frontiers. Finally, the DMUs are ranked based on the RC index. To demonstrate the practicality of the model, we evaluate the sustainable performance of OECD countries concerning CO2 emissions. Our findings illustrate that the model can measure DMUs' distances to both efficient and inefficient frontiers, providing policymakers dealing with Sustainable Development Goals (SDGs) a more nuanced understanding of the situation.In summary, the DFM model proposed in this study bridges the gap by considering optimistic and pessimistic perspectives, offering a more comprehensive view of DMU performance.

The influence of risk tolerance and brand trust on investment decision and customer engagement behavior

Understanding the impact of Risk Tolerance and Brand Trust on Investment Decisions and Customer Engagement Behavior is imperative in today's competitive financial environment. This study investigates the direct and mediating effects of Risk Tolerance and Brand Trust on Investment Decisions and Customer Engagement Behavior. Utilizing a quantitative approach with a survey method, data were collected from 144 private customers of Bank BRI in East Java through random sampling techniques. Structural Equation Modeling (SEM) was employed for data analysis. The research reveals significant direct effects of Risk Tolerance and Brand Trust on Investment Decisions. Likewise, the direct effects of brand trust and investment decision on customer engagement behavior are significant. However, the influence of risk tolerance on customer engagement behavior is not significant. These findings underscore the intricate dynamics of consumer behavior in the financial sector. This study contributes to a deeper understanding of how risk perception and trust in the brand affect investment decisions and customer engagement behavior, offering insights for strategic decision-making in the banking industry.

Retailer processes centred on the food market as the main determinate of business models in the context of retail size

In today's competitive environment, retail food outlets need to keep pace with changing consumer behaviour and technological change. Due to the impact of digitalisation, they are gradually starting to use new forms of interaction with consumers, suppliers, employees and other stakeholders, which affects the food retail business in many ways. Many digitization-related activities are well known but are slow to be implemented in the practice of food retail operations, depending on the specific size type of retail format. The paper aims to provide an overview of business models based on the size of food retail operations and on the identification of selected activities aimed at increasing competitiveness and creating value for customers. The survey sample comprised 250 stores whose managers were questioned by means of a semi-structured interview in March–April 2022. The authors discuss 30 identified components of 40 purposes in this study which could increase the efficiency of retailers' business models. A number of philosophical (a comprehensive examination of the criteria for selecting a theory and processing the theory) as well as mathematical statistical methods are used in the model, such as reliability rate estimation, factor analysis of binary data, cluster analysis, and the like. The study provides an overview of the application of selected digitalisation-related components in the business models of established food retail outlets of different size groups in the Slovak capital Bratislava.

Predicting Customer Loyalty in the Airline Industry: A Machine Learning Approach Integrating Sentiment Analysis and User Experience

Ensuring customer loyalty is crucial for the success of any airline service provider in today's competitive environment. This study employs machine learning techniques to predict the likelihood of customers revisiting airline services, emphasizing the role of emotional connections in fostering loyalty. By analyzing feedback comments and satisfaction ratings, we explore how sentiments expressed by customers correlate with their propensity to return. Using sentiment analysis and features extracted through the Linguistic Inquiry and Word Count (LIWC) methodology, we categorize sentiments into various dimensions, integrating these with user experience (UX) elements for a comprehensive predictive model. Our methodology includes a robust data collection process, involving an initial survey of 17,000 valid responses and a follow-up survey one year later. We evaluate multiple classifiers, including Decision Tree, Random Forest, and XGBoost, through five-fold cross-validation. Results reveal that XGBoost achieves the highest accuracy of 85% in predicting return visits, highlighting the predictive power of machine learning in understanding customer behavior. These findings offer significant insights for airlines, enabling them to tailor services and strategies to enhance customer satisfaction and loyalty. Our study underscores the importance of sentiment analysis and UX in predicting customer loyalty, providing a roadmap for future research and practical applications in the airline industry.

CLASSIFICATION OF ANALYTICAL OPTIMIZATION METHODSBUSINESS PROCESSES OF ENTERPRISES

Rapid progress and digital technologies are increasingly being implemented in all aspects of companies' economic activities. This challenges their managers to invest in technology upgrades and the transition to digital platforms to maintain competitiveness and efficiency in the market, which, in turn, requires them to master new methods of optimizing business processes. To facilitate orientation in the large number of methods that exist today, there are various approaches to their classification.The article analyses the existing classifications of business process optimization methods, and, in particular, the classification, depending on the approach to justifying their improvement, as one of many approaches to classification.The study is aimed at systematizing the analytical methods of business process optimization, given their critical importance in today's dynamic businessenvironment. Analytical methods provide an opportunity to analyse, improve and manage business processes in detail, helping to identify problems and reduce costs. The set of analytical methods used to optimize business processes is classified into nine types according to their main functions and purpose, each of which has its own unique advantages and is used to solve specific problems. Expanding and updating analytical methods ensures flexibility and adaptability of companies, allowing them to respond to market changes and implement innovations. This not only helps to solve current problems, but also ensures the long-term development and sustainability of the business. By applying various methods from the presented classification, business process management specialists can achieve a deeper understanding of their activities, identify hidden reserves and implement effective strategies to optimize and improve their business. Thus, a systematic and comprehensive approach to the analysis and optimization of business processes is a prerequisite for success in today's competitive environment.

Analysis of the Phenomenon of Involution among Young People

"Involution" among young people refers to the continuous efforts of the young generation in pursuit of better grades, career development, and quality of life in today's competitive social environment. This phenomenon reflects the problems of the current education system because the school evaluation system focuses too much on scores and rankings. It is also associated with a highly competitive job market. As the economy slows down, young people are facing increasing pressure to find a job. There is also the phenomenon of "involution" in pursuing a better quality of life. With the popularity of social media and the advent of the information age, many young people measure their happiness by comparing themselves with others in terms of material conditions and travel experiences. This comparison mentality encourages them to constantly exert pressure on the outside world and chase the so-called "success" standard. In this context, this paper studies the characteristics, causes, and problems of the phenomenon of involution among young people in China. According to analysis, it is concluded that the phenomenon of "involution" exhibits evident utilitarian characteristics and can weaken team collaboration. It is mainly caused by parental expectations, societal norms and values, and the education system. The "involution" phenomenon leads to excessive competition and an unbalanced distribution of resources. In addition, it also hurts the education system and brings negative impacts on the workplace.

Influence of Yarn and Fabric Properties on Mechanical Behavior of Polymer Materials and Its Retention over Time.

The mechanical properties of textile materials play a crucial role in determining their comfort, functionality, performance, safety, and aesthetics. Understanding and optimizing these properties is essential to meet consumer demands. Key aspects of mechanical properties, such as surface roughness, abrasion resistance, and compression, have a significant impact on the touch and durability of the material, as demonstrated by various research studies. This study focuses on analyzing the mechanical properties of materials produced of different polymer yarns and their changes under combined aging factors. The findings emphasize the significance of textile abrasion resistance and surface roughness measurement, particularly for aged materials. Although the use of recycled polyester yarn is sustainable and offers advantages such as higher tensile strength, the results have shown that the use of conventional polyester yarn is more advantageous overall as it has higher abrasion resistance, a smoother surface texture, and better elasticity retention after aging. The insights presented are vital for designing high-performance sportswear, which is crucial in today's competitive environment.

MANUFACTURING SYSTEMS USED IN THE SHIPBUILDING INDUSTRY FROM YEARS 2000 UP TO NOWADAYS

The continuous growth in demands for product quality and their utility properties in today's competitive environment places increased requirements on activities ranging from pre-production stages to sales completion. From these facts, it is evident that special attention must be paid to material selection, product design, and the construction of individual components, as well as the technologies used in their production and processing. Achieving high technical parameters for products while simultaneously optimizing the cost/performance or cost/utility value ratio compels designers and engineers to explore new progressive materials with high mechanical, chemical, and physical properties. They must also consider technologies that ensure efficient and precise manufacturing.

Profit Steady Advisor

ProfitSteady Advisor revolutionizes business stability through data-driven insights. Leveraging real-time and historical data analysis, the platform devises strategies for optimizing pricing, marketing, and inventory management. Its user-friendly web interface facilitates personalized recommendations, empowering businesses to make informed decisions. What sets this system apart is its continuous learning mechanism, ensuring adaptability in dynamic markets by assimilating real-world outcomes. By simplifying profit stability, ProfitSteady Advisor acts as a reliable guide for businesses, offering a seamless and efficient approach to navigate the complexities of fluctuating markets. With a commitment to evolving alongside the business landscape, this innovative solution emerges as a vital tool for sustained success in today's competitive and dynamic economic environment

Considering sustainability and resilience in a location-routing problem

Purpose: Sustainability and resilience have emerged as two important topics. Consumers and governmental entities are becoming increasingly aware of the existing environmental and social issues, motivating companies to adopt more sustainable practices. In addition, the uncertainty and unpredictability that characterize today's competitive environment force companies to be able to handle disruptions efficiently. Despite this, when looking at some classes of problems in literature, cost is still the most, or even the only, objective addressed. This work analyses the integration of sustainability and resilience concerns in a class of problems that is often found in logistics, the Location-Routing Problem (LRP).Design/methodology/approach: A multi-objective LRP is addressed with the following objectives: minimization of the total cost of the logistics network, minimization of the environmental impact of CO2 emissions, and maximization of the resilience of the distribution network. Aiming to explore the effect that designing a more sustainable and resilient distribution network can have on its operating costs, the ?-constraint method is applied.Findings: Results show that resilience and environmental impacts, from a practical point of view, should not be considered in isolation, as they can have significant impacts on costs. Nevertheless, it is conceivable to design logistics networks that ensure a good compromise between operating costs, environmental impacts, and resilience to disruptions.Originality/value: This paper is an exploratory study addressing a new type of location-routing problem which, besides the usual cost objective, considers sustainability and resilience as objectives. The paper evaluates the sensitivity of the costs of logistics networks to the improvement of their resilience and sustainability. A new multi-objective formulation is proposed for this class of problems, tested in instances based on real-world data. The paper may provide important managerial insights for designing sustainable and resilient logistics networks.

A comprehensive analysis of knowledge management role in developing business performance

There is a lack of information about KM's comprehensive influence on total corporate success, even with the field's relevance in modern business settings increasingly acknowledged. To overcome this gap, this research explores the complexities of KM and how they affect the performance of organizations. Knowledge Management (KM) has become one of the most well-known contemporary leadership strategies. A rigorous strategy was used to conduct a thorough examination of the relationship between KM techniques and company performance. The research uses a combination of qualitative and quantitative methodologies, such as instances, questionnaires, and data analysis to provide a comprehensive comprehension of the topic. The results show how KM contributes in many ways to corporate effectiveness. Determine the essential KM techniques that have a substantial influence on a range of organizational success factors, such as decision-making and innovation as well as operational effectiveness. For companies seeking to maximize their KM tactics for improved performance, the findings provide insightful information. The study findings have practical relevance for firms seeking to improve overall performance in today's competitive and dynamic business environment by strengthening their KM activities.

The Impact of E-Marketing on Consumer Satisfaction during Pandemic Time

During the pandemic, E-marketing was of great importance to enterprises in general. Digitized enterprises or enterprises that have been digitized during the pandemic have managed to develop their work processes without stalling in their development. At the time when everything stopped working, the companies that had already digitized processes within their companies were managing to cope with the situation that had gripped the whole world. The approach of enterprises in the time of the pandemic has greatly influenced the perception and importance of the digitalization of enterprises in the daily work processes. Communication, process management, and employee management have been a key factor in not stalling processes, ie in maintaining the health of employees of those enterprises. As a result of the COVID-19 crisis, the majority of business executives have ordered their organizations to digitize at least a portion of their operations to safeguard workers and cater to clients who are experiencing limited mobility. We have all watched what is undoubtedly going to go down in history as the widespread adoption of digital access to services and remote work, even though many doubters have not recognized this as a viable prospect. Online ordering and delivery have become the primary business of grocery businesses. In many nations, the emphasis in schools is entirely on online education. Plans for "online" supply chains and factories are being actively developed by manufacturers. Although in some regions the masses have started to reopen and businesses are opening, many businesses are still considering digitalization and further development of their internal processes as a priority. Customer satisfaction is one of the greatest assets of any business, including e-business in today's competitive environment. Several factors can help e-businesses to build a base for their customers. It undoubtedly includes service and customer satisfaction which can be the determinants of success.

Assessing the Effect of Compensation Packages, Work-Life Balance Policies, and Career Development Opportunities on Employee Retention: A Case Study of MSME Employee

In today's competitive business environment, Micro, Small, and Medium Enterprises (MSMEs) face significant challenges in attracting and retaining top talent. This study examines the impact of compensation packages, work-life balance policies, and career development opportunities on employee retention within MSMEs. Using a quantitative research design and Partial Least Squares Structural Equation Modeling (PLS-SEM), data from 300 respondents were analyzed to explore the relationships between these factors. The findings reveal significant positive relationships between compensation packages, work-life balance policies, career development opportunities, and employee retention. These results highlight the importance of strategic investments in human capital and the creation of conducive work environments to foster employee loyalty and commitment within MSMEs.

Driving Business Growth from Research to Innovation in The Deployment of Business Intelligence

This research evaluates a company's development and performance based on its intelligence and BI utilization. A study using quantitative poll data from numerous firms examines the relationship between leveraging business knowledge, promoting innovation, and important performance metrics. The findings demonstrate that BI adoption and receptivity to new ideas improve corporate development. Companies that invest heavily in business intelligence (BI) programmes and foster innovation generally outperform their rivals in sales, earnings, and market share. Creative thinking and business knowledge are crucial to corporate success, according to the findings. These gives workers’ suggestions on how to work faster and more creatively. More research, sector-specific analysis, and continuing studies are needed to determine how innovation culture and BI adoption effect firm performance. Finally, this research adds to what is already known about how BI adoption and innovation culture effect firm performance in today's competitive business environment.

Machine Learning-Based Sales Prediction and Inventory Management for Grocery Stores

In today's competitive grocery retail environment, effective inventory management coupled with precise sales prediction is pivotal for success. This research undertakes an in-depth exploration into a machine learning framework tailored for "Sales Forecasting and Inventory Optimization in Grocery Retail." Utilizing historical sales records, meteorological data, and consumer behavior metrics, the proposed model endeavors to predict nuanced seasonal demand fluctuations. The primary value proposition of this approach lies in its capacity to curtail wastage, ensuring the balance between overstocking and inventory stockouts. By recognizing and adjusting for seasonal dynamics, the system offers enhanced demand fulfillment during high-demand periods. The subsequent refinement of the replenishment cycle fosters superior operational efficacy. As an outcome, businesses witness cost reductions, augmented profit margins, and elevated consumer contentment due to consistent product availability. As the broader grocery sector undergoes transformation, embedding sophisticated machine learning strategies can be a linchpin for sustained adaptability and competitiveness. This research further underscores the role of emergent technologies, such as machine learning within the IoT spectrum, in reshaping supply chain and communication paradigms. The endeavor here is to curtail lifecycle expenses in the supply chain by refining inventory practices. The research introduces a Deep Inventory Management (DIM) technique, employing the LSTM paradigm of deep learning. Through DIM's innovative approach, time-series challenges are reimagined as supervised learning tasks, enabling efficient model training. Preliminary tests indicate DIM's prediction accuracy hovers around 80%, translating to an impressive 25% reduction in inventory expenses when juxtaposed with prevailing methods, alongside rapid anomaly detection in inventory activities

IMPACT OF EMPLOYEE SKILL DEVELOPMENT PRACTICES ON EMPLOYEES JOB SATISFACTION AT (THE AEC ASSOCIATES)

This master thesis of Strategic Human Resource (HR) Management, focusing on Impact Of Employee Skill Development Practices On Employees Job Satisfaction. This research explores the relationship between employee skill development practices and job satisfaction within the context of “THE AEC ASSOCIATES” Noida, a leading organization in its industry. In today's competitive business environment, organizations recognize the significance of investing in their employees' skill development to faster a talented and motivated workforce. Likewise, employee job satisfaction remains a crucial determinant of organizational performance and employee well-being. The study employs a mixed-methods approach, combining quantitative surveys and qualitative interviews, to examine the existing skill development practices at THE AEC ASSOCIATES Noida and assess their impact on employee job satisfaction. Quantitative data analysis includes descriptive statistics, correlation analysis, and regression analysis, while qualitative data from interviews is analyzed thematically. Findings indicate a positive correlation between effective skill development practices and employee job satisfaction. Employees who perceive their organization's investment in their skill development positively exhibit higher levels of job satisfaction. The study also uncovers key factors influencing employee satisfaction, including the availability of training programs, career advancement opportunities, and supportive organizational culture. The research offers practical implications for HR practitioners and organizational leaders, suggesting recommendations for enhancing employee skill development practices to improve job satisfaction. By understanding the dynamics of skill development and job satisfaction, organizations like THE AEC ASSOCIATES, Noida can optimize their talent management strategies to foster a culture of growth, engagement, and fulfillment, thereby positioning themselves for sustained success in a dynamic business landscape.