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The chapter discusses the Linux success stories in US educational settings belong mostly to server-side solutions where, for example, an email server running Windows® is replaced with Linux. It begins by briefly acknowledging the worldwide success of Linux in the server and enterprise solutions market as well as its growth in the handheld device market. The chapter explores what we can learn from Europe's successful large-scale adoptions of Linux particularly in educational contexts by focusing on an autonomous region of Spain that, until recently, relied on a customized version of the Debian Linux distribution. It presents specific educational strategies professional communication instructors can use to bring these Linux success stories. The chapter discusses how to integrate the ideas into the professional communication classroom in order to help students better understand how the notion of combined global and local (or global) can affect international markets for and uses of technologies.

PurposeIn this paper, two popular multiple-criteria decision-making (MCDM) methods with hesitant fuzzy logic approach; hesitant fuzzy analytic hierarchy process (hesitant F-AHP) and hesitant fuzzy the technique for order preference by similarity to ideal solution (HF-TOPSIS) are integrated as HF-AHP-TOPSIS to evaluating a set of enterprise resource planning (ERP) alternatives and rank them by weight to reach to the ultimate one that satisfies the needs and expectations of a company.Design/methodology/approachSelecting the best ERP software package among the rising number of the options in market has been a critical problem for most companies for a long time because of the reason that an improper ERP software package might lead to many issues (i.e. time loss, increased costs and a loss of market share). On the other hand, finding the best ERP alternative is a comprehensive MCDM problem in the presence of a set of alternatives and several potentially competing quantitative and qualitative criteria.FindingsIn this integrated approach, the hesitant F-AHP is used to determine the criteria weights, as the hesitant F-TOPSIS is utilized to rank ERP package alternatives. The proposed approach was also validated in a numerical example that has five ERP package alternatives and 12 criteria by three decision-makers in order to show its applicability to potential readers and practitioners.Research limitations/implicationsIf the number of the alternatives and criteria are dramatically increased beyond reasonable numbers, the reaching to final solution will be so difficult because of the great deal of fuzzy based calculations. Therefore, the number of criteria and alternatives should be at reasonable numbers.Practical implicationsThe proposed approach was also validated in a illustrated example with the five ERP package options and 12 criteria by the three decision-makers in order to show its applicability to potential readers and practitioners.Originality/valueFurthermore, in literature, to the best of our knowledge, the authors did not come cross any work that integrates the HF-AHP with the HF-TOPSIS for ERP software package selection problem.

Empowering women is essential for poverty alleviation and open involvement of woman entrepreneurs in line for entrepreneurship development. Nonetheless, several woman-led enterprises and woman entrepreneurs have scarce opportunities to revitalize beyond the dearth of financial services to realize financial freedom. This article’s approach hinges on a bibliometric analysis to survey recent developments and trends in microfinancing woman-owned enterprises and how this field is expected to transform to recent financial technological progress over successive years. We review existing evidence from 402 published articles indexed in the Scopus database from January 2003 to March 2023 to explain the current research development and interrelated prospects for enhancing studies on microfinance for woman entrepreneurship. The results vividly indicate that access to a stream of microfinancing credit is fundamental to the prosperity of urban woman-led enterprises across all countries. Despite this, woman entrepreneurs still encounter several obstacles when starting new businesses or expanding existing ones. With a growing demand for substantial sums of external financing to transition to sustainable business practices, their contribution to sustainable development is most often unreachable. Thus, any financing strategies focused on allowing access to microfinance credit by woman entrepreneurs are necessary to enable this sector to receive the benefits of economic freedom. This study offers good insights for current and potential entrepreneurs to bridge the financing gaps in emerging economies as a strategy for strengthening the capability of woman entrepreneurs to pursue economic opportunities that can inspire sustainable business enterprises and contribute to sustainable development. Finally, the study provides a foundation for future research in the domain of entrepreneurial financing for MSMEs.

Territorial user rights for fisheries are being promoted to enhance the sustainability of small‐scale fisheries. Using Chile as a case study, we designed a market‐based program aimed at improving fishers’ livelihoods while incentivizing the establishment and enforcement of no‐take areas within areas managed with territorial user right regimes. Building on explicit enabling conditions (i.e., high levels of governance, participation, and empowerment), we used a place‐based, human‐centered approach to design a program that will have the necessary support and buy‐in from local fishers to result in landscape‐scale biodiversity benefits. Transactional infrastructure must be complex enough to capture the biodiversity benefits being created, but simple enough so that the program can be scaled up and is attractive to potential financiers. Biodiversity benefits created must be commoditized, and desired behavioral changes must be verified within a transactional context. Demand must be generated for fisher‐created biodiversity benefits in order to attract financing and to scale the market model. Important design decisions around these 3 components—supply, transactional infrastructure, and demand—must be made based on local social‐ecological conditions. Our market model, which is being piloted in Chile, is a flexible foundation on which to base scalable opportunities to operationalize a scheme that incentivizes local, verifiable biodiversity benefits via conservation behaviors by fishers that could likely result in significant marine conservation gains and novel cross‐sector alliances.

Purpose>The purpose of this study is to recognize critical barriers for Lean manufacturing practices implementation in small and medium enterprises (SMEs) focusing in the context of a developing economy. The advancement of SMEs is of utmost important for a surge in exports while competing with other countries and these barriers have to be given due importance as they play a major role in stalling the overall development of SMEs.Design/methodology/approach>In this present investigation, 26 barriers to Lean implementation in SMEs have been identified after an extensive study of the literature available on the subject. After that, the influential barriers were investigated through the Analytical hierarchy process-Technique of order preference by similarity to ideal solution (AHP-TOPSIS) method using priority weightage given to them by different experts in their industries. The ranking given to the barriers is based on the AHP-TOPSIS method and has been validated by the sensitivity analysis.Findings>The investigation reveals that for the successful implementation of Lean manufacturing practices, the will of the management, individual will power and contribution of the people matter a lot apart from other barriers such as flexibility, expertise of the people, resources and resistance offered by the people to new programs. The solutions for overcoming these barriers are also provided in this study and a model has been suggested for the same.Research limitations/implications>This work was devoted to the evaluation of obstacles in the introduction of Lean practices and prioritizing them. But it was limited to the medium- and small-scale organizations located in Northern India. Further studies can expand the scope to the large-scale units in the field. Moreover, the scope of this study was confined to the manufacturing sector. Future studies can extend it to the non-manufacturing environments such as the service sector, health care, etc. This investigation was based on the judgments of industry experts and academicians. Another approach such as Viekriterijumsko kompromisno rangiranje can be used for future investigations.Originality/value>This study is significant when keeping in mind the contribution of SMEs to a country’s economy, especially in the Indian context.

Innovation management involves planning, organizing, and controlling innovation within an organization, while venture capital evaluation assesses investment opportunities in startups and early-stage companies. Both fields require effective decision-making and data analysis. This study aims to enhance innovation management and venture capital evaluation by combining CNN and GRU using deep learning. The approach consists of two steps. First, the authors build a deep learning model that fuses CNN and GRU to analyze diverse data sources like text, finance, market trends, and social media sentiment. Second, they optimize the model using the gorilla troop optimization (GTO) algorithm, inspired by gorilla behavior. GTO efficiently explores the solution space to find optimal or near-optimal solutions. The authors compare the fused CNN-GRU model with traditional methods and evaluate the GTO algorithm's performance. The results demonstrate improvements in innovation management and venture capital evaluation.

Purpose Over the past years, traditional manufacturers of capital goods, such as Siemens, ABB and GE, have seen their business environments transform. As a response to these changes, firms began to change their business models from providing singularly developed, integrated one-off solutions to offering modular, mass-customizable systems, including increasingly sophisticated services. This paper aims to support such manufacturers in overcoming uncertainties in designing innovative profit formulas in this new approach. Design/methodology/approach This study is based on an 18-month research project at a multinational, multi-scope manufacturer in the capital goods industry. Findings To innovate profit formulas, this study recommends a three-step approach: first, categorize your customer requirements along new dimensions for each project; second, apply smart and novel combinations of competition- and value-based pricing and cost strategies within projects; and third, calculate your profits at the feature level instead of the aggregated project level. Based on this approach, managers can categorize projects through an introduced matrix tool and identify ways to improve profitability. Research limitations/implications Findings are applicable to the capital goods industry and to comparable sectors where vendors can tailor product features for each customer individually. Originality/value This study will help managers to overcome the challenge of rethinking ways of operating that are long established and, until now, very successful. It sets out a methodology – the profitability matrix – that managers can use to analyze the profitability of a specific customer offering and suggests ways to improve it based on a novel three-step approach for designing new profit formulas.

The purpose of this study is to explore the use of human-computer interaction (HCI) monitoring robots in new media marketing with the aid of psychological principles and the Boltzmann model learning and knapsack optimal solution algorithms. Psychological load has a profound impact on the naturalness of human-computer interaction. The highest input cost rate of robot monitoring is 1.93, and the lowest input cost rates of marketing strategy pages and HCI details are 1.23 and 1.27 respectively. The combination strategy and brand marketing strategy have a particularly significant impact on the marketing value of new media, reaching 85.16 and 82.50 respectively. The study provides a way to monitor and optimize new media marketing strategies.

The continuous innovation of science and technology is the foundation for the survival and development of high-tech enterprises. In order to gain a foothold in the fierce market competition, enterprises must seize market share by developing new high-tech products tailored to the market, and obtain economic benefits for maintaining survival and development. However, to ensure the smooth progress of the development and research process, sufficient financial support is required. Fundraising is particularly important, even if the required funds are raised, its own high-risk needs to be given special attention. The financial risk evaluation of high-tech enterprises is a multiple attribute group decision making (MAGDM). Recently, the Combined Compromise Solution (C°CoSo) method has been employed to manage MAGDM issues. The intuitionistic fuzzy sets (IFSs) are used as a tool for portraying uncertain information during the financial risk evaluation of high-tech enterprises. In this paper, the intuitionistic fuzzy C°CoSo (IF-C°CoSo) method is cultivated to manage the MAGDM based on the Hamming distance and Euclid distance under IFSs. In the end, a numerical case study for financial risk evaluation of high-tech enterprises is supplied to validate the proposed method. The main contributions of this paper are outlined: (1) the C°CoSo method has been extended to IFSs; (2) Information Entropy is used to derive weight based on the Hamming distance and Euclid distance under IFSs. (3) the IF-C°CoSo method is founded to manage the MAGDM based on the Hamming distance and Euclid distance under IFSs; (4) a numerical case study for financial risk evaluation of high-tech enterprises and some comparative analysis is supplied to validate the proposed method.

Objective: This article aims to identify and analyse the opinions of small and medium-sized enterprises (SME) entrepreneurs operating in the Silesian Voivodeship on the prospects of their companies in relation to the need to implement so-called green solutions. The key aim of the study was to identify differences in assessments of future developments in the labour market of the Silesian Voivodeship between two groups of respondents: SME companies with the potential to create green jobs and SMEs in the green sector. Research Design & Methods: We based the analysis on empirical data collected during fieldwork, based on a dedicated interview questionnaire. We used stratified-quota sampling. We conducted the entire study in the form of computer-assisted telephone interviews (CATI) with a sample of 635 respondents. Key relationships between nominal variables and their categories were tested using a chi-square test to determine the significance of these relationships. For factors significantly influencing interest in companies‘ environmental activities, correspondence analysis was additionally applied. Findings: Most respondents believe employment in SMEs with green job potential will remain stable until 2027. Micro-entrepreneurs tend to foresee unchanged employment, while medium-sized companies plan to increase staff. The study highlights that green jobs are not clearly defined, focusing more on retraining employees to meet new environmental requirements than creating new roles related to green technologies. Entrepreneurs believe that Silesia’s socio-economic infrastructure supports green economy initiatives, while companies already engaged in the green sector effectively create green jobs. Notably, 71.4% of these companies‘ representatives expect strong growth in the sustainable economy by 2027. Implications & Recommendations: The green economy in Silesia has promising prospects but faces challenges. Supporting access to public funding and offering preferential pricing for eco-friendly technologies could boost interest across businesses. Raising public awareness and environmental education is crucial to prepare workers and the public for upcoming economic shifts. Simplifying subsidy procedures for pro-environmental actions and adjusting legal regulations could accelerate the adoption of green solutions, making them more attractive to regional enterprises. Contribution & Value Added: This research enriches prior studies on sustainability and entrepreneurship by addressing the perspectives of SMEs in Poland. The analysis highlights how SME entrepreneurs in Silesia view the green economy. Most companies with green job potential (66.2%) found the region’s socio-economic infrastructure favourable for green economy adoption. Promising areas included renewable energy, clean technologies, and waste management, with photovoltaics and recycling identified as key. Among established green-sector firms, 71.4% expect strong sector growth by 2027, aligning with the sustainable development goals (SDG).