Complicated Business Research Articles

Mission profile oriented energy efficiency and CO2 footprint assessment of naval vessels at conceptual design phase: A comparative case study of conventional and hybrid energy systems

CO2 is the main green house gas (GHG) produced in fossil fuel burning engines on ships. The growth of activities of sea-going vessels, have been increasing interest and concerns over ship-born CO2 emissions. Consequently, numerous studies have been introduced for emission estimation. Each estimation approach has its own assumptions, thus uncertainty with data of vessel activities, vessel attributes, and calculating methods. The conceptual design phase is the first phase of ship design. One of the issues addressed at this phase is the assessment of energy system alternatives of relevant ship. A ship energy system provides propulsion and electrical power. The assessment of energy system alternatives for a naval vessel is a very complicated business that has a significant impact and interaction on overall vessel integration. Naval vessels and their energy systems constitute a noteworthy part of the total world ship fleet. The present study aims to present a realistic methodology for estimating efficiency, hence CO2 emissions, for candidate energy systems of surface vessels at conceptual design phase. A frigate is selected as the case (baseline) vessel. Three energy systems, namely CODAD, CODOG, and CODLOG-CC, are proposed as alternatives for the case vessel. Instead of general emission estimation approaches, the present study proposes a mission profile-oriented estimation methodology which provides more precise and accurate results. The Energy Efficiency Design Index (EEDI) defines efficiency and sets limitation during design and construction of specific merchant vessels, but since this index does not comply with unique characteristics of mission profile of surface vessels, the novel efficiency design index defined as integral warship EEDI (IWEEDI) is implemented for the case vessel. According to the analysis, CODAD is found to be the most efficient alternative, followed by CODLOG-CC and CODOG, respectively.

Leader Readiness in Facing the Challenges of a VUCA Business Environment: Case Study of Generation Z

The research aims to identify whether leadership in various styles contexts such as entrepreneurship, empowering, operational, and architectural leadership impacts Generation Z's ability to deal with volatility, uncertainty, complexity, and ambiguity (VUCA) in their work environment. The research method in this study is a literature review to identify dimensions of the competence of Generation Z in the four leadership styles in the VUCA context. The results of this literature review research indicate that empowering leadership plays a significant role in strengthening the skills of VUCA Generation Z. This approach encourages delegation of authority, supports development skills, and empowers Generation Z individuals to interact effectively within a VUCA environment filled with uncertainty and complexity. Apart from that, entrepreneurial leadership has also been proven to impact the abilities of VUCA Generation Z with a focus on innovation, controlled risk-taking, and exploration of new opportunities. Operational leadership emphasizes efficiency and orderliness and positively contributes to Generation Z's VUCA skills, although the VUCA environment is often uncertain. Lastly, architectural leadership focusing on organizational design and strategic vision helps Generation Z individuals understand the big vision and adapt to changes in the context. The implication is that by integrating these four leadership philosophies into the analysis, the study will aid in gaining a more accurate understanding of Generation Z's mentality. Organizations can be better equipped to handle the difficulties of the volatile and uncertain business climate by learning about the traits and expectations of Generation Z and cultivating the right kind of leadership. The mindset of Generation Z can be better understood. In addition, Generation Z must arm themselves with greater creativity and innovation to meet the challenges of an increasingly complicated business environment.

The Impact of Strategic Agility on Environmental Sustainability: The Mediating Role of Digital Transformation

In today’s ambiguous and complicated business environment, businesses are required and mandated to be agile and think rapidly. Building on the theory of dynamic capability, the present research makes a strong argument that strategic agility is a key component in managing continuous change effectively. The primary objectives of this research are to examine the impact of strategic agility on digital transformation and environmental sustainability and to explore the effect of digital transformation on environmental sustainability. Additionally, we investigated the indirect impact of strategic agility on environmental sustainability via digital transformation. To achieve these objectives, a self-administered questionnaire was developed and used to gather data from 284 managers in manufacturing companies in Jordan. To test the research hypotheses, structural equation modeling (SEM) with Amos 24.0 was used. The results revealed that strategic agility positively impacted both digital transformation and environmental sustainability. Furthermore, digital transformation positively affects environmental sustainability. Additionally, digital transformation partially mediated strategic agility’s impact on environmental sustainability. The results indicate that businesses use and employ strategic agility as a means to achieve the desired results, and it may operate as a proactive facilitator and catalyst, allowing organizations to optimize most of their available resources, achieve the desired digital transformation, and accomplish the expected environmental sustainability objectives and results.

The Compliance Model as an Instigation for Post-Financial Crisis Efficiency in Corporations

This paper examines how the compliance model improves corporate governance and efficiency post-financial crisis. This paper focuses on the goals of the compliance model, the strategies for its integration into corporate governance structures, as well as the results and conclusions. The compliance model prioritizes legal and regulatory compliance, ethical standards, and best practices in corporate governance. This methodology helps organizations prevent wrongdoing, enhance transparency, and build stakeholder confidence. Mixed methods study evaluates the compliance model. First, it reviews the theoretical and practical consequences of the compliance model. Next, a quantitative analysis compares pre- and post-compliance model performance metrics in a sample of firms. Finally, qualitative interviews with key stakeholders assess the impact of the model. This study shows that the compliance approach boosts post-financial crisis corporate efficiency. The approach improves corporate governance, malfeasance, and efficiency. Organizations with a culture of compliance, honesty, and responsibility gain stakeholder trust. The results show that the compliance model can help companies revive their corporate governance practices following financial crises. This methodology reduces risks, ensures legal and ethical compliance, and boosts efficiency and effectiveness. This study emphasizes the role of the compliance model in post-financial crisis corporate efficiency. It highlights the favorable effects of the model on corporate governance and organizational success. The report adds to the corporate governance literature and offers practical advice for companies trying to improve their governance in a complicated business environment.

Customer Segmentation in User Behavior Analysis: A Comparative Study of Clustering Algorithms

A thorough understanding of customer behavior patterns is still essential for corporate success in today's digital environment. To segment clients in-depth, this study used three distinct clustering algorithms: k-means, hierarchical clustering, and dbscan. By carefully examining the age, yearly income, and consumption score This study goes beyond conventional views and creates a comprehensive and distinct perspective when disclosing numerous consumer attributes using data derived from the mall consumer Segmentation Data set. It offers insightful information that can be used to adjust a company's marketing plan. The strategic application of customer insights is redefined in this study, empowering stakeholders to decide wisely and improve market performance. The road to greater competitiveness and relevance in a developing market segment is mapped using real-world data and powerful clustering techniques. Based on research of this dataset, it was discovered that Dbscan performed best on this dataset with unequal density. It highlights the usefulness of these algorithms in today's complicated business world.

Seleksi Pemilihan Staff Account Receivable dengan Penerapan Sistem Pendukung Keputusan Kombinasi Metode WASPAS dan ROC

Appropriate Account Receivable staff must be qualified, have skills, and exhibit traits that are suitable for the duties and responsibilities associated with receivables management. Errors in staff selection can potentially create problems in the management of receivables, result in delays in the collection of funds, and pose a greater risk of loss to the company. Therefore, the selection and selection of qualified Account Receivable Staff is a very key factor in achieving optimal financial performance. Selection in the selection of Account Receivable staff has several criteria, namely Education, Experience, Technical Skills, Communication Skills and Negotiation Skills. In the midst of an increasingly complicated business environment and intense competition, the use of decision support systems (SPK) is becoming more relevant to assist in the optimal employee selection process, given the importance of objectivity and accuracy in the selection process by applying the ROC (Rank Order Centroid) and WASPAS (Weighted Aggregated Sum Product Assesement) methods which are utilized to provide weight values to the selection criteria, while WASPAS is used to verify the results of the selection decision. So that the best Account Receivable Staff selected is alternative A5 with the highest value of 3.8354 as the first rank.

Was the Medici Really the Most Powerful Family in Florence? Analysis of the Relationship Network of the 15th Century Florentine Merchant Families

In Florence in the 15th century, several families competed for power, during which they developed complicated business and family relationships. These families can be considered the big companies of the age. The results of network science have shown that a company's market power is determined not only by its financial and market positions, but also by its network position in the business network. The purpose of the research is to present the role of 15th-century Florentine families in their network of relationships and the resulting power position using quantitative methods. The research considers the business and family relationships of families as a multi-layered, complex network and examines them using network science methods. The research shows which families occupied the various positions of power in the complex network of relationships, and which families formed close groups within the network. One of the new areas of 21st century management is the network management, which focuses on examining the internal and external network of companies. The research examines the business positions of 15th-century Florentine families using the network management approach.

For Loan Processing a Fuzzy Process Mining

Process mining has been used extensively in recent years to develop the steps of the business and it is an important technique to remove waste and reduce process costs. The aims of this study indicate congestion, workflow which lived a long time, and stuff or system statistics in the banking real estate transaction process. The process mining practice is applied in bank business loans. In the bank process, the most used and complicated business is a bank loan transaction. The process mining implementation pattern is created with sample and flow gains of process development. Then, the new workflow is designed and the pattern is executed. In the first stage of the total loan period, 7.84 hours of earnings are obtained. Visualizations of the process have been affected with the help of fuzzy model algorithms necessary for a huge number of incidents and activities. Workflow analysis and gathering information for studies were to be effortless with the support of fuzzy models. As a result of the analysis based on the flows, the knowledge pool is created by getting the know-how such as the average duration of the process and the deviations in the users or systems. The results indicated that process mining is a significant methodology for developing bank loan transactions and enhancing their performance.

Business Intelligence Strategy for Company Business Development Using Online Analytical Processing

The purpose of this article is to discuss Business Intelligence and its role in increasing a company's competitive advantage through the utilization of various data, information and knowledge owned by a company as a raw material in the decision-making process. The method used in this article uses Online Analytical Processing. The results of the research are (1) data analysis has become a major and vital requirement in efforts to increase the business competitiveness of an organization or company; (2) entrepreneur-style decision making that tends to rely on intuition becomes less suitable in the midst of an increasingly competitive and complicated business environment; (3) BI is an e-business application that functions to convert data within the company (operational, transactional, and other data) into a form of knowledge; (4) BI emphasizes the implementation of the 5 utilization of information for the purposes of data sourcing, data analysis, situation awareness, risk analysis, and decision support.

How blockchain technology hyperautomatically affects corporate performance by green supply chain?

ABSTRACT Hyperautomation is a true digital transformation using advanced techniques and automates complicated business processes. Blockchain-based networks have hyper-automation turbo-boost power as they create tamper-proof, real-time data exchange networks. The study aims to examine the impact of blockchain on the performance of Chinese electronics manufacturers through the green supply chain and circular economy in the hyper-automation environment. Respondents (n = 376) in the present study were made up of employees from 300 China-based electronics companies. The results show that blockchain technology with hyper-automation can impact business performance through a circular economy and green supply chain. In addition, they have direct practical implications for Chinese electronics manufacturers moving towards a green supply chain by applying blockchain in the hyper-automation environment.

Firm complexity and post-earnings announcement drift

We show that the post-earnings announcement drift (PEAD) is stronger for conglomerates than single-segment firms. Conglomerates, on average, are larger than single segment firms, so it is unlikely that limits-to-arbitrage drive the difference in PEAD. Rather, we hypothesize that market participants find it more costly and difficult to understand firm-specific earnings information regarding conglomerates, as they have more complicated business models than single-segment firms. This in turn slows information processing about them. In support of our hypothesis, we find that, compared to single-segment firms with similar firm characteristics, conglomerates have relatively low institutional ownership and short interest, are covered by fewer analysts, and these analysts have less industry expertise and make larger forecast errors. Finally, we find that an increase in organizational complexity leads to larger PEAD and document that more complicated conglomerates have even greater PEAD. Our results are robust to an extensive list of alternative explanations of PEAD as well as alternative measures of firm complexity.

Does a firm’s geographic feature matter for stock returns? Evidence from the Chinese A-share market

ABSTRACT This study reveals a new stock return predictability that relates to firms’ geographic features in the Chinese A-share market. Using a text-based measure of the degree of localness to capture the economic ties between firms and their provinces, we find that low-localized firms are slow to incorporate local information into stock prices. Specifically, there is a significant lead-lag effect in stock returns between high- and low-localized firms in the same region, and a portfolio that exploits this pattern can generate a monthly alpha of about 1%. This effect cannot be explained by geographic or industry return momentum, investors’ inattention, and limits to arbitrage. We find that this return predictability is mainly driven by investors’ limited information-processing capacity, and the evidence of predictability is stronger among low-localized firms with highly complicated business structures.

Digitalization in small and medium enterprise: a parsimonious model of digitalization of accounting information for sustainable innovation ecosystem value generation

Purpose This study aims to dispense a concrete and coherent picture on the role of digitalization of accounting information (DOAI) among the small and medium-sized enterprises (SMEs) through a statistically reliable and parsimonious paradigm for procuring the impact of DOAI on sustainable innovation ecosystem (SIE) and public value (PV) generation. With this cue, the geographical scope of this tentative manuscript was framed in SMEs of developing countries. Design/methodology/approach A three-pronged methodology was disposed in this research, namely, literature review, expert interviews and self-administered survey. Qualitative data was procured from a series of semi-structured in-depth interviews. The quantitative data was drawn on a self-administered survey in which the closed-ended questionnaires were conveniently circulated to a cross-sectional sample of 583 respondents. The data captured from quantitative approach was processed and analyzed via covariance-based structural equation modeling with AMOS 26.0. Findings The outcomes analysis highlighted that there were significant positive associations between the hypothesized constructs regarding significance and effect size. These interlinks were also partially mediated through the mediation of quality of information on financial reports and SIE. Research limitations/implications This research was bounded by geographical provenance emphasis on one country and relative smallness of the data set procured through anonymous survey-based approach drawn from a convenient sample of digitally savvy respondents working in one sub-sector resulted in the reduction in the robustness and generalizability of the observations. Nevertheless, these above-mentioned limitations could thus offer the starting points for novel avenues creation for the future research. Practical implications The practitioners would definitely have valuable benefits from in-depth insights on the obtained findings. Concretely, as lifting the degree of understandings on the magnitude of long-term cooperation and superior coordination within the SIE would enable practitioners to enlarge their business viewpoints to better cope with the challenges of complicated business settings, facilitating them to co-create PV for all their key stakeholders through giving priority to implementing DOAI. Social implications Society could benefit from this study if policymakers and the influencers of government focus on innovative features and assure the possible environment for innovation deployment through embarking on introducing policies that would facilitate the digitalization as well as stimulate and incentivize establishing the SIE for PV generation. It would be good for both the SMEs and society when SMEs could thrive in community settings as well as this togetherness. Originality/value Unpacking the potential of DOAI has been considered as the promising research avenues that are outlined not only to redress the shortfall in the research stream in relation to the digitalization among SMEs but also provide the right directions for sustainable development among SMEs.

The Effect of Nurses Stressogenic Factors and Psychoemotic State on Care Cooperation

Nurses inevitably experience stress in their work, which affects their psycho-emotional state. Complicated business and interpersonal relationships, conflicts with colleagues, patients and their relatives, high workload, difficulty in decision-making, nursing of dying patients, working in pandemic conditions cause stress, anxiety, fear, sleep disturbances, exhaustion and depression, which affect the psycho-emotional state of nurses and cooperation between them.
 Cooperation between nurses is important not only for the quality of work of the nurses themselves, but also for the staff of other health care institutions and for the well-being of patients.
 The aim of the research - to analyze the scientific literature on the nurses stress experience at work, their emotional state and their impact on mutual cooperation. Research methods: systematic search of articles in PubMed, Cochrane ClinicalKey, BMJ Best Practice, ScienceDirect and Google Scholar databases. The results showed that stress and psychoemotional status of nurses are related and affect their cooperation. As a result of constant stress, most nurses experience both physical and psychological health problems, which affect teamwork.

Application of Process Mining with Fuzzy Models to Loan Processing

Background and purpose: Process mining is used extensively in recent years to develop the steps of the business. Also, process mining is an important technique to remove waste and reduce process costs. The aims of this study indicate that congestion, workflow which lived a long time, and stuff or system statistics in the banking real estate transaction process. Methods: In this work, the process mining practice is applied in bank business loans. In the bank process, the most used and more complicated business is a bank loan transaction. The process mining implementation pattern is created with sample and flow gains of process development. Then, the new workflow designed and the pattern is executed. Results: In this study, in the first stage of the total loan period, 7.84 hours of earnings are obtained. Visualizations of the process have been affected with the help of fuzzy model algorithms necessary to the huge number of incidents and activities. Workflow analysis and gather information for studies were set up to be effortless with the support of fuzzy models. As a result of the analysis based on the flows, the knowledge pool is created by getting the knowhows such as the average duration of the process and the deviations in the users or systems. Conclusion: The results indicated that process mining is a significant methodology for developing bank loan transactions and enhancement their performance.

Activity Theory as a Tool for Understanding Complexities in Extended Organizations

The paper compares third generation activity theory (3GAT) and fourth-generation activity theory (4GAT) in extended organisations with multiple relationships that can be characterised as complex. The complexities are associated with the modern work environment with its complicated business processes and potentials for information sharing failures. 3GAT is a proven way of looking at multiple relationships in general but not sufficient in explaining the types of complexities associated with such complex and extended organisational settings possessing potential for lack of congruence of both physical and non-physical tools with which stakeholders engaged. Therefore, fourth generation activity theory was adopted in this study as a positive means of dealing with changes that support the new ways of working found in modern working environments which are increasingly concerned with shared objects. The types of complexities and extension in the setting drives contradictions which points to actual, or potential are as of failure, and in responding to these complexities (caused due to the lack of congruence in the different activity systems) knots form in a different way from the majority of other settings which have been researched. Understanding why the knots behaves in that way can be illuminated using 3GAT but does not necessarily resolve all the issues and nuances of the setting. Hence, 4GAT is seen as 1) a way of understanding the setting or problem issues. 2) understanding the needs and abilities of collaborating partners in understanding complexities and how to manage them and 3) understanding different elements that enhanced the achievement of relationship goals.

Sustainability reporting based on GRI standards and corporate financial performance: a study on selected listed companies in Sri Lanka

Sustainability Reporting (SR) is followed by the organizations in the contemporary world. The main objective of the organizations is getting growth consistently and sustaining for a long period of time. In today’s changing and complicated business world, the Sustainability related activities have an impact on Corporate Financial Performance (CFP) of companies. Therefore, this study intends to examine the impact of SR on CFP of Listed Companies in Sri Lanka. Return on Assets (ROA), Return on Equity (ROE) and Net Profit Margin (NPM) are used as dependent variables to measure the CFP whilst Economic Performance Disclosure Index (ECN), Environmental Performance Disclosure Index (ENV) and Social Performance Disclosure Index (SOC) are used as independent variables to measure the level of Global Reporting Initiative (GRI) based SR. This study considers the companies listed on Colombo Stock Exchange (CSE) for the period from 2016 to 2019 and uses secondary data gathered from the annual reports of these companies. The data is analysed by means of descriptive statistics, correlation analysis and regression analysis using the software E Views 8. The results of the Pooled OLS model regression analysis show that ENV and SOC have significant negative impact on ROA, while ECN has insignificant impact on ROA. Further, ECN and ENV have an insignificant impact on ROE. However, SOC have significant impact on ROE. Similarly, ECN, ENV and SOC also have a significant impact on NPM at 5% significance level. Based on the correlation analysis, the results show that only SOC have significant negative relationship with ROA and NPM at 5% significance level. The findings of the study have an important implication for the management of the companies and other interested parties. Further researches can be extended by choosing more time periods of data and choosing other indicators of CFP.

The complicated business of social movements

The complicated business of social movements

The Entrepreneurship Ecosystem in Malaysia: the Global Entrepreneurship Index (Gei) Analysis

The purpose of this research is to identify the entrepreneurship ecosystem in Malaysia based on PFP methodology from the Global Entrepreneurship Index (GEI). As one of the top performing economies in Asia, the Global Entrepreneurship Index (GEI) score of Malaysia stood in the ‘middle rank’ from 2012 to 2016 (ranked 46th out of 96 surveyed countries). The analysis has revealed that Malaysia has two strong pillars that are unique to the country, namely ‘human capital’ and ‘process innovation’. There are seven other pillars that did not perform well, namely, technology absorption pillar, high growth, risk capital, cultural support, product innovation, start-up skills, and internationalisation. In order to improve these areas, the Malaysian government needs to enact ‘supportive regulation’ for entrepreneurs, such as promoting entrepreneurs in external events, tax holidays, a less complicated business permit application process, ease of access to bank loans, and business training.

Making an integrated decision in a three-stage supply chain along with cellular manufacturing under uncertain environments: A queueing-based analysis

Today’s complicated business environment has underscored the importance of integrated decision-making in supply chains. In this paper, a novel mixed-integer nonlinear mathematical model is proposed to integrate cellular manufacturing systems into a three-stage supply chain to deal with customers’ changing demands, which has been little explored in the literature. This model determines the types of vehicles to transport raw materials and final parts, the suppliers to procure, the priorities of parts to be processed, and the cell formation to configure work centers. In addition, queueing theory is used to formulate the uncertainties in demands, processing times, and transportation times in the model more realistically. A linearization method is employed to facilitate the tractability of the model. A genetic algorithm is also developed to deal with the NP-hardness of the problem. Numerous instances are used to validate the effectiveness of the modeling and the efficiency of solution procedures. Finally, a sensitivity analysis and a real case study are discussed to provide important management insights and evaluate the applicability of the proposed model.